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        "genuineness": 4.446595048904419,
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        "fr": -0.0062500461533154805,
        "nl": -0.7531250285875014,
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      "note": "Exploratory language-cluster bootstrap; five voices, one fixed reference voice per language. No familywise claim across72targets."
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      "delta_z": 3.716035235121797,
      "ci95_z": [
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      "delta_genuineness": 0.07732077598571778,
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      "note": "Exploratory language-cluster bootstrap; five voices, one fixed reference voice per language. No familywise claim across72targets."
    },
    "route": {
      "adapter": false,
      "scale": 0.0,
      "cfg": 4.0,
      "reason": "Use manual-only configuration; no clear qualifying incremental adapter gain"
    },
    "reference_only": true,
    "updated": 1793024287.0682292,
    "example": {
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo podemos hablar.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Natural clear speech.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo podemos hablar.",
      "language": "es",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 4.0,
      "frames": 128,
      "reference": true
    }
  },
  "rows": [
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "0018a0737f91997feb91280c86924a43af85ecd47498275007c4a6461da9224c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "974bde574452486dc1e1332598d9b1a75d60e2a7ac1bff0ee2b8ab1d1231fce9",
      "generation_seconds_batch": 21.53121063800063,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.7622666954994202,
        "target_z": 0.886718767651921,
        "ce": 6.41180419921875,
        "genuineness": 4.469690799713135,
        "identity": 0.2000957429409027,
        "hypothesis": "The door is still open. I put your coat on the chair. Tell me when you are ready,",
        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0018a0737f91997feb91280c86924a43af85ecd47498275007c4a6461da9224c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "003142cac74c92cbe03f6fb4a9da70e90200007ddb591239ec9ba5f4bf7d49b6",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "71618d8860b34b92e69f3a4812c359fc2e8a9673ecd458c2084d231dea33f7cd",
      "generation_seconds_batch": 21.087776396074332,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.4403719902038574,
        "target_z": 2.140625156714616,
        "ce": 5.696964263916016,
        "genuineness": 4.68307638168335,
        "identity": 0.7121602296829224,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/003142cac74c92cbe03f6fb4a9da70e90200007ddb591239ec9ba5f4bf7d49b6.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "004d8184d5a496a739fc164428cd42c43f6fd01a25fc7c3e29bc8786e3c46f5d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "53768704a8c06b3edb6ffa3f741d70378e252332fbfa6c169bf7bb1c3ef2eed2",
      "generation_seconds_batch": 16.097745296079665,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.7361187934875488,
        "target_z": 2.687500117105427,
        "ce": 5.919358730316162,
        "genuineness": 4.406930446624756,
        "identity": 0.5173094272613525,
        "hypothesis": "Ik heb het een klein doosje gevonden. Het stond naast het oude raam. We kunnen het er samen in kijken.",
        "wer": 0.16666666666666666,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/004d8184d5a496a739fc164428cd42c43f6fd01a25fc7c3e29bc8786e3c46f5d.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "0141e224584d978602a5837d621846e76225d219cd3e0599d455d047d2bdaf02",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "8c050c175e7f6b69c17e15c6fd62b83d09a57d4da89e4c59f3fa5c8f3f2c62de",
      "generation_seconds_batch": 16.933936109999195,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.767007827758789,
        "target_z": 4.593750306540677,
        "ce": 6.157639026641846,
        "genuineness": 4.632867813110352,
        "identity": 0.623336672782898,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0141e224584d978602a5837d621846e76225d219cd3e0599d455d047d2bdaf02.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "01497ba0a0f5dbb4d77633b46d0aaff475d3cf8396a0af0535e0c47d12a25359",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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        3.2,
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        3.2
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      "metrics": {
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        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
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        3.2,
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
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        3.2
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "031b7249ab371f6f6294ebd552b199b6d4f7411e4941c8c2e41d3829a33748f0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "0376550ad80591b29d4771e96f13fa8f358a74ff2c6ac26762c187e12dbb787b",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.758388519287109,
        "identity": 0.7945876121520996,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0376550ad80591b29d4771e96f13fa8f358a74ff2c6ac26762c187e12dbb787b.mp3"
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    {
      "id": "heldout-es-0",
      "language": "es",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "heldout-es-0",
      "key": "03a5569c3d56f604e8b31d0e5ff55b99ab7de408a2512b0c6986c4de730ed60b",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Natural clear speech.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo podemos hablar.",
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      "scale": 0.0,
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      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "b5c13a5560969dcf15ce45794fa26280c1ac2f0a92c823162df2a65edb754b8f",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/03a5569c3d56f604e8b31d0e5ff55b99ab7de408a2512b0c6986c4de730ed60b.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "03b2c745456250d75d8ed338d634a14a2bb084005c74ec9649cc4cd8062a037f",
      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.5,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "e33f8dc092d941c0ff8cf8775750a0e724408279d7cfe8cabc0508cbc5cd8268",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/03b2c745456250d75d8ed338d634a14a2bb084005c74ec9649cc4cd8062a037f.mp3"
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    {
      "id": "heldout-de-4",
      "language": "de",
      "sentences": [
        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
      ],
      "text": "Ich schrieb die Nummer auf den Umschlag. Lies sie genau... und prüfe die letzten beiden Ziffern. Ruf an, wenn du Zeit hast.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich schrieb die Nummer auf den Umschlag.\n(Natural clear speech.) [3.8 seconds duration] Lies sie genau... und prüfe die letzten beiden Ziffern.\n(Natural clear speech.) [3.2 seconds duration] Ruf an, wenn du Zeit hast.",
      "seed": 1702,
      "scale": 0.5,
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      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "25d15d20512ab2a7e40dc92cc3dea9b6d71d211b02b4f4a5fc2b6e3eee1a1da3",
      "generation_seconds_batch": 24.454453208949417,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/03b8e12dc8fa846cc7cc170434bdfb78bcf3279a79f1302ed488fcd76ff151ab.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "03c009c6321ef622dd2e00ef9323a34b1bfdadf7606855560328e05edbf61eab",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
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      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "dab68502a60e848c08578a323666492d2601cdc359c068813d38be4361584246",
      "generation_seconds_batch": 21.554764194064774,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.4205615520477295,
        "target_z": 3.9531253151513703,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/03c009c6321ef622dd2e00ef9323a34b1bfdadf7606855560328e05edbf61eab.mp3"
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    {
      "id": "heldout-fr-4",
      "language": "fr",
      "sentences": [
        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-4",
      "key": "0467a3a85955d8e930828c8272cc2656cef4eebac5a6648c746245acad20823d",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai écrit le numéro sur l’enveloppe.\n(Natural clear speech.) [3.8 seconds duration] Lis-le bien... et vérifie les deux derniers chiffres.\n(Natural clear speech.) [3.2 seconds duration] Appelle-moi quand tu auras un moment.",
      "seed": 1702,
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      "seconds_generated": 10.24,
      "mp3_sha256": "e3fab0620f1dda9911bb07aaeb41b648c045a1cf66847dee263c2e1cf6463e9f",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.46281099319458,
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        "genuineness": 4.482243061065674,
        "identity": 0.8712086081504822,
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        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0467a3a85955d8e930828c8272cc2656cef4eebac5a6648c746245acad20823d.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 21.186873442027718,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.5079712867736816,
        "target_z": 2.265625198045943,
        "ce": 6.117925643920898,
        "genuineness": 4.821148872375488,
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        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0526f3d81602b208370c522f150c9522e6087268453e823711075fd50ddab73c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "0555c0b73d1bdfb3a26cc37a16494a8b7b69e7d4c71611f4bfa9f7041b28cb68",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
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      "seconds_generated": 10.24,
      "mp3_sha256": "624372d8f76ac16cebdc56e96405ba6e12432f8ced24fa084079148387973bba",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.0825650691986084,
        "target_z": 3.328125108494734,
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        "genuineness": 4.570107460021973,
        "identity": 0.5049256086349487,
        "hypothesis": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0555c0b73d1bdfb3a26cc37a16494a8b7b69e7d4c71611f4bfa9f7041b28cb68.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "ac2d77840358f14788cbddd3fffb88dd4f0e79d39feaee991cd05a38f805ba78",
      "generation_seconds_batch": 22.361298772040755,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.9191060066223145,
        "target_z": 4.874999958668673,
        "ce": 5.371314525604248,
        "genuineness": 4.545003414154053,
        "identity": 0.5093672275543213,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/055cd76df99128f9c179172ee36013e2852563f9c4ea721049b0eb0b94c35903.mp3"
    },
    {
      "id": "heldout-de-0",
      "language": "de",
      "sentences": [
        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-0",
      "key": "059867605942d1f4c46c2c44d936e08b7fbe89dd4feef4c05500a7ed426c27a3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Sag mir, wann wir reden können.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Sag mir, wann wir reden können.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "22758ac5e58591ec0697fd584d3911f38bd88a4b2268864a5456fab7fd85bf2c",
      "generation_seconds_batch": 17.625090943067335,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.4168766438961029,
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        "ce": 6.340320587158203,
        "genuineness": 4.607763767242432,
        "identity": 0.519755482673645,
        "hypothesis": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal, dann legte ich das Handy weg. Sag mir, wann wir reden können.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/059867605942d1f4c46c2c44d936e08b7fbe89dd4feef4c05500a7ed426c27a3.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "05a9ff8ccd11b50ef33d1f0ce552880a666d41dfc204f38ab869e0e2ea5f00a7",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "cdc00494b93a041e4cf017f6e86d786e74edee00b276ca6375aa48708c4b582a",
      "generation_seconds_batch": 21.94367308798246,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.8488782644271851,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/05a9ff8ccd11b50ef33d1f0ce552880a666d41dfc204f38ab869e0e2ea5f00a7.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "05fbadab29ccf0218c91d1acbb7398bc57de962fbc5060ad5d3e70c611acc0a4",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "166a8bb24b54f0a09e665270a818dea2b4d07d92c69e0401d90bda385e44eddf",
      "generation_seconds_batch": 23.063552314066328,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.0487654209136963,
        "target_z": 3.2656250878290702,
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        "genuineness": 4.3881025314331055,
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        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/05fbadab29ccf0218c91d1acbb7398bc57de962fbc5060ad5d3e70c611acc0a4.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "06036e730f80ce8b8a6f4f934dc6918c5a49eeba1d663a2103fb8098a3f0936d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "8dcd10ccce011969a0424bd750a47cd9f83dc32dc0ee96a907afa2a1b3a70a6a",
      "generation_seconds_batch": 22.149881686083972,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.5811097621917725,
        "target_z": 4.2500001928795275,
        "ce": 5.847874641418457,
        "genuineness": 4.344170093536377,
        "identity": 0.6384199857711792,
        "hypothesis": "Ik heb het ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.16666666666666666,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/06036e730f80ce8b8a6f4f934dc6918c5a49eeba1d663a2103fb8098a3f0936d.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "06225809639fe2c78451b1cf2f5ee50d4e5b0ccc16400e284c94b2959417e5c9",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "711472a31bd3cd6121dba2a2f25e18f4ba950eb23f691d06758eac39e463b9aa",
      "generation_seconds_batch": 15.707980022998527,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.28484681248664856,
        "target_z": 0.0039062512916039765,
        "ce": 6.252951145172119,
        "genuineness": 4.582659721374512,
        "identity": 0.7398102283477783,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/06225809639fe2c78451b1cf2f5ee50d4e5b0ccc16400e284c94b2959417e5c9.mp3"
    },
    {
      "id": "heldout-de-1",
      "language": "de",
      "sentences": [
        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-1",
      "key": "06a1cd56bb25133e5c3d99590f4909d211f7ec92ec2c21052f0dc8088eac2750",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Natural clear speech.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Natural clear speech.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "66720615e852ec3227554e0e767d97ecb527d4376448c78ad19cfeaebd6b7a91",
      "generation_seconds_batch": 21.54183263401501,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.268462896347046,
        "target_z": 3.6718747812883934,
        "ce": 5.254160404205322,
        "genuineness": 4.381826400756836,
        "identity": 0.7210502624511719,
        "hypothesis": "Die Schlüssel liegen auf dem Küchentisch. Ich suche dir in der Schublade daneben dem Fenster. Nimm sie mit, wenn du gehst.",
        "wer": 0.19047619047619047,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/06a1cd56bb25133e5c3d99590f4909d211f7ec92ec2c21052f0dc8088eac2750.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "06eab42d164e61684a1e48531b34ecfacefd3bd47ec34d8e7cce9c14882eac5d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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        3.2,
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        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
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      "cfg": 2.5,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "09a1c8eccb3f212a13bd5590ebf3619104fa9ef2d5621eb89460080201763213",
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      "metrics": {
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        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
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        3.2,
        3.8,
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        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
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        3.2,
        3.8,
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "metrics": {
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        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
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        3.2,
        3.8,
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0a25c444ab7e6dc267b3d1d0b76bbdec4ce578f9d137719aa3f9815b39cbc33e.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0a6858e582f7ba2681436163547ed2419ef004563a6aa806bc1cafdaa414479b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "0a9f37017b2b10e471d6cab03d5940c7d57793ddbda427e1e10240a86df3e5ef",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 3.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "0131da90f18d024bf4ada051628639aee7bd3e959643a0877da1270661456095",
      "generation_seconds_batch": 15.234916668967344,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0a9f37017b2b10e471d6cab03d5940c7d57793ddbda427e1e10240a86df3e5ef.mp3"
    },
    {
      "id": "heldout-de-2",
      "language": "de",
      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-2",
      "key": "0b07e74f0c50f53127aad6614a6baf3ad5918a60dd59661952c4a30997fcf7c5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "75ea65734464c64fa2641f6b476e5daadb5bdeebc4c92a7a8ebbeef5ce89e5fa",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0b07e74f0c50f53127aad6614a6baf3ad5918a60dd59661952c4a30997fcf7c5.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "0b0a77c7f9bdb63373fb064a41c52fc0a94d420027fcedb14c40fb9663bcade2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "scale": 0.0,
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      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "f0170559b481fa8b3694107bfdccd36f91bb7e851d48d95b1bd0f3a481e9bed2",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "e72a77a110cdbfd1926a36c51488c52182b127e0f4812316458ef4b745eb3679",
      "generation_seconds_batch": 22.838526348932646,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.4374613761901855,
        "target_z": 3.984375325484202,
        "ce": 6.157639026641846,
        "genuineness": 4.607763767242432,
        "identity": 0.6276516914367676,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0b0cb8ba1ab555f6966e6f1db0da0bf12a2bafba0989a602d2edae8280a114a9.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "0bb8aec51bdb293b75a4f8d5702698cef53ea979f3539e6f211fb794f4da9837",
      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
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      "seconds_generated": 10.24,
      "mp3_sha256": "2f0973d86a3c789f74cb986865194988fc340cbd6fb6e4133e90d7acc630eed3",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.9360058307647705,
        "target_z": 4.906249969001505,
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        "genuineness": 4.532451152801514,
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        "wer": 0.0,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0bb8aec51bdb293b75a4f8d5702698cef53ea979f3539e6f211fb794f4da9837.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
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      "cfg": 1.25,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 23.26229542598594,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.7192189693450928,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0bcc2dace15126b4ed095a56e3300ad51e7bf57b4c173faecbb5bb6946954335.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "0bd023de966545b40ed33f0d46a339f82bf1e20959d2052fea958e2749101047",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.444586753845215,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0bd023de966545b40ed33f0d46a339f82bf1e20959d2052fea958e2749101047.mp3"
    },
    {
      "id": "heldout-nl-3",
      "language": "nl",
      "sentences": [
        "Iemand heeft het kleine blauwe stoeltje verplaatst.",
        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-3",
      "key": "0caf94ec9aac4d682e2fbc10312520c63a10d3652e6fe85436526a539dd3a35a",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Natural clear speech.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Natural clear speech.) [3.2 seconds duration] We zetten het na de lunch terug.",
      "seed": 1702,
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      "cfg": 4.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier naast de hoge boekenkast. We zetten het naar de lunch terug.",
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    {
      "id": "heldout-nl-4",
      "language": "nl",
      "sentences": [
        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-4",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "034ca827f27c02f75513ca0e6f94d244d0288739ca6a7abd6f1c0c42b7bbad37",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "seconds_generated": 10.24,
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "seed": 1702,
      "scale": 1.0,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 23.88617042498663,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0d9587b030d548b0b50a59d319dbfeac71188de9970db37fc122af79ed70ae8b.mp3"
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.40920090675354,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0e16c81ce660464b48fc31717f84abd1ff6e22b2311f3a4b7ca69d449404b446.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0ef1d2c708fbb875c6ae549b8a35ce71d4abe84270585e532d66d2b4f14d0a2a.mp3"
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    {
      "id": "heldout-fr-1",
      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
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      "key": "0f4046ea8e1aedfea3daef880476b4f2c879df6c5f30b109197ddf97401a7cf2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Natural clear speech.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "seed": 1701,
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      "seconds_generated": 10.16,
      "mp3_sha256": "74483bd28c24e368628ed7f3fe0ef7fdb2a4dee93d2394d5e65a84c27cc55015",
      "generation_seconds_batch": 22.6137688489398,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.9896159172058105,
        "target_z": 3.1562498312304137,
        "ce": 5.287916660308838,
        "genuineness": 4.632867813110352,
        "identity": 0.6689610481262207,
        "hypothesis": "Les cuissons sur la table de la cuisine. J'ai regardé dans le tiroir. Puis près de la fenêtre.",
        "wer": 0.2916666666666667,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/0f4046ea8e1aedfea3daef880476b4f2c879df6c5f30b109197ddf97401a7cf2.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "0f463dffd8f64610d4d9a2f6f1fd825eca958c1a84756bc75f9277ffeaa17638",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
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        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
        3.8,
        3.2
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-es-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "seconds_generated": 10.24,
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis-moi, quand tu es prêt ?",
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/10960db2c214efce65e0ff3fd4d44e5c05b2de361fe4c628026e29d5955c891f.mp3"
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.1839640140533447,
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        "identity": 0.6494753956794739,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/10ad096f3194016f60483fc23a891dc890fb679a7c992db5f07606c4f1ba33ac.mp3"
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    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "10b828239b58857d1f64919130e033c801cd04f87d3afe7fe282a4fcfef6e2e4",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 21.35679309500847,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.9022061824798584,
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        "ce": 5.728734970092773,
        "genuineness": 4.193545341491699,
        "identity": 0.22808045148849487,
        "hypothesis": "De sleutels liggen op de keukentafel. Kijk in de la. En daarna naast het raam. Neem ze mee als je weggaat.",
        "wer": 0.09090909090909091,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/10b828239b58857d1f64919130e033c801cd04f87d3afe7fe282a4fcfef6e2e4.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "11517d08051fa85c01f87e54cde96b8e0962071385e2fe400a475bf595a54949",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis moi, quand tu es prêt.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/11517d08051fa85c01f87e54cde96b8e0962071385e2fe400a475bf595a54949.mp3"
    },
    {
      "id": "heldout-fr-0",
      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Natural clear speech.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
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    {
      "id": "heldout-nl-4",
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        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
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        3.2,
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
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    {
      "id": "heldout-en-0",
      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
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      "seconds": 10.2,
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      "metrics": {
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      "id": "heldout-es-0",
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      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "heldout-es-0",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Dime cuándo podemos hablar.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/12a7b850c68b1e935d69d2b179f3c0df54c4775061935760902fd9f6cbfc7541.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/130aa2a57708061421955e2d3dd8754a4521244fc33785481b054919b5484046.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
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      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "132b65160e2055ecb1bf9e4d5933825f9d0e1fae3e6f1ae8536b9322dd905b87",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1702,
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        "Estaba junto a la ventana vieja.",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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        3.2,
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        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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        "Ruf an, wenn du Zeit hast."
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        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
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        "Nous pouvons regarder ensemble ce qu’elle contient."
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
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        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "He dejado tu abrigo sobre la silla.",
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        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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      "seconds": 10.2,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
        3.8,
        3.2
      ],
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "metrics": {
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    {
      "id": "heldout-es-4",
      "language": "es",
      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
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      "key": "1d559e6da25f8bbacc3b53d5880369445633ce7ab0125ca7b07093108b8c8de3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Escribí el número en el sobre.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Léelo bien... y comprueba las dos últimas cifras.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Llámame cuando tengas un momento.",
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        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
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        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
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        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
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      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
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        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
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        3.2
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "I found the little box.",
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        "We can look inside together."
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
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      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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      "seconds": 10.2,
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    {
      "id": "heldout-nl-3",
      "language": "nl",
      "sentences": [
        "Iemand heeft het kleine blauwe stoeltje verplaatst.",
        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
      "sentence_seconds": [
        3.2,
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      "bucket": "emo_Fatigue_Exhaustion",
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        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
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      "id": "emo_Fatigue_Exhaustion-en-0",
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      "id": "emo_Fatigue_Exhaustion-en-1",
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      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
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        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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        "hypothesis": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "seconds_generated": 10.16,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/28b96d696ec509550acdc94970091d110a25c86873e9bf37c7be29b152a0c648.mp3"
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    {
      "id": "heldout-de-2",
      "language": "de",
      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-2",
      "key": "28c08bd6bb185e46912306752e17aa5db08a0a9d68a508b2df86693474a8b37c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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      "cfg": 5.0,
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      "seconds_generated": 10.24,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/28c08bd6bb185e46912306752e17aa5db08a0a9d68a508b2df86693474a8b37c.mp3"
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    {
      "id": "heldout-nl-4",
      "language": "nl",
      "sentences": [
        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "task_id": "heldout-nl-4",
      "key": "28cbdb6d5ec5df5788d6b9fd2c0f5130ee7adb7aee107361374268f32354e84d",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Natural clear speech.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Natural clear speech.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/28cbdb6d5ec5df5788d6b9fd2c0f5130ee7adb7aee107361374268f32354e84d.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 17.36983169405721,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.9161953926086426,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/29840a3f7c50ef2131ecafd22866f49af6535132ca7336e07f03760e593ceaa3.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "2a15b40c2b05288bc668682ef1afe693829d401d4446c6b2c28f56b6d47aa826",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "seconds_generated": 10.16,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2a15b40c2b05288bc668682ef1afe693829d401d4446c6b2c28f56b6d47aa826.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "2a3be9375b17317cd441b78a633795f0dc9c6d9829b6171f86938dd701c1ab80",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.831978440284729,
        "target_z": 1.015625005166416,
        "ce": 6.141753673553467,
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        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2a3be9375b17317cd441b78a633795f0dc9c6d9829b6171f86938dd701c1ab80.mp3"
    },
    {
      "id": "heldout-fr-4",
      "language": "fr",
      "sentences": [
        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-4",
      "key": "2a67f7cabd51d6702226d5d14a24b8478eb3012c07daea3109dc0181ffa23729",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai écrit le numéro sur l’enveloppe.\n(Natural clear speech.) [3.8 seconds duration] Lis-le bien... et vérifie les deux derniers chiffres.\n(Natural clear speech.) [3.2 seconds duration] Appelle-moi quand tu auras un moment.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "256c2cad0068feb409da73fe8e84842dab78a498ab137cedcb9fb3187ec196f0",
      "generation_seconds_batch": 16.124050904996693,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.319162607192993,
        "target_z": 3.7656252531543792,
        "ce": 5.33954381942749,
        "genuineness": 4.632867813110352,
        "identity": 0.8289638757705688,
        "hypothesis": "J'ai écrit le numéro sur l'enveloppe, lis les biens et vérifié les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
        "wer": 0.13636363636363635,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2a67f7cabd51d6702226d5d14a24b8478eb3012c07daea3109dc0181ffa23729.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2d0cf8bd56419a6da29634f5258336aa66a21e9bc4ee613104987266ab6c1e03.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "2dd19923a6483f9be54ed613257edefc03507a41d8b29fded86c9198386a9674",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "71ea4ae5271735303f6478e25cc415f126e62e1a70b32a0ceecabd0a636dde7a",
      "generation_seconds_batch": 20.91891167103313,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.767007827758789,
        "target_z": 4.593750306540677,
        "ce": 5.6254801750183105,
        "genuineness": 4.582659721374512,
        "identity": 0.4644898772239685,
        "hypothesis": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2dd19923a6483f9be54ed613257edefc03507a41d8b29fded86c9198386a9674.mp3"
    },
    {
      "id": "heldout-es-3",
      "language": "es",
      "sentences": [
        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-3",
      "key": "2ddf4ca3f50a2304f2915deaf0925faaba6ba818e1e58ac0dc398c4d94318492",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] La colocaremos después de comer.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Natural clear speech.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Natural clear speech.) [3.2 seconds duration] La colocaremos después de comer.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "6c26fa772a92bf0ee506e6530f8fff6d137843c99b056d5af45d5be31766e24b",
      "generation_seconds_batch": 16.347493135021068,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.9867053031921387,
        "target_z": 5.0,
        "ce": 5.657250881195068,
        "genuineness": 4.507347106933594,
        "identity": 0.7212871313095093,
        "hypothesis": "Alguien ha movido la pequeña silla azul. Estaba aquí junto a la estantería alta. La colocaremos después de comer.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2ddf4ca3f50a2304f2915deaf0925faaba6ba818e1e58ac0dc398c4d94318492.mp3"
    },
    {
      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-2",
      "key": "2e1b7ba4e7d21769cae5e3502b4238d10d4c4512c9da6b3a2c334b42a79bce6e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Natural clear speech.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Natural clear speech.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "4e962daa734a3b07be2ca88c589e370ee2d04298fe42a84717751664baea84c9",
      "generation_seconds_batch": 15.603769718902186,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.9360058307647705,
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        "ce": 5.689021587371826,
        "genuineness": 4.582659721374512,
        "identity": 0.822553277015686,
        "hypothesis": "La route tourne à gauche après le pont, continue jusqu'à la petite barrière en bois. Je t'attendrai de l'autre côté.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2e1b7ba4e7d21769cae5e3502b4238d10d4c4512c9da6b3a2c334b42a79bce6e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "2e770e3c18c7ec132926a938dc3c8a85d4e25039b44c32829e502562603b6daa",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f152a6c0fec15d974665b38c14b1c2f6a37767bd10ae35f5f9c9ab130a2c82bf",
      "generation_seconds_batch": 22.50948345893994,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.251563310623169,
        "target_z": 3.640625211823052,
        "ce": 6.0146708488464355,
        "genuineness": 4.808597087860107,
        "identity": 0.6799739599227905,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2e770e3c18c7ec132926a938dc3c8a85d4e25039b44c32829e502562603b6daa.mp3"
    },
    {
      "id": "heldout-de-0",
      "language": "de",
      "sentences": [
        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-0",
      "key": "2e905d5fd37261aaafbe791feedc6711ac12fb3656289f715c61673e4baf1bdd",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wann wir reden können.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Natural clear speech.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wann wir reden können.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "ca49adc4e79015977bed152b8baa07585df9eef107dcc6fcf7f870f7f5ada21d",
      "generation_seconds_batch": 15.225561915896833,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.107914686203003,
        "target_z": 3.3749999035602363,
        "ce": 4.99999475479126,
        "genuineness": 4.3881025314331055,
        "identity": 0.6207275986671448,
        "hypothesis": "Deine Nachricht kam, als sie schon weg war. Ich las sie zweimal. Dann legte ich das Handy weg. Sag mir, wann wir reden können.",
        "wer": 0.041666666666666664,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2e905d5fd37261aaafbe791feedc6711ac12fb3656289f715c61673e4baf1bdd.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "2e9399a2b4ebed3b54561223592caa987e91fd99df1cdf30cd5802544dfda8a6",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "93874c7ea5545925548c2a677b1fb892c8d56c95a3b1cae8e9dc26fac7d3f567",
      "generation_seconds_batch": 22.554253038018942,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.72001713514328,
        "target_z": 0.8085937418198414,
        "ce": 6.0146708488464355,
        "genuineness": 4.68307638168335,
        "identity": 0.747556209564209,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2e9399a2b4ebed3b54561223592caa987e91fd99df1cdf30cd5802544dfda8a6.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "2ef41f3f754afc198eb1a49f982df49d3b63943f3d82b16fcafca3a7900c2ee5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "c67c536d6a95a224c823ccc8e755abed921d44642de2e05ddf5f1e1df94ec20a",
      "generation_seconds_batch": 22.219423627946526,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.2066851556301117,
        "target_z": -0.1406249913893068,
        "ce": 6.316492557525635,
        "genuineness": 4.532451152801514,
        "identity": 0.4484812319278717,
        "hypothesis": "I found the little box. It was beside the old window. We can look inside together.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/2ef41f3f754afc198eb1a49f982df49d3b63943f3d82b16fcafca3a7900c2ee5.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "2f3a84e9bc6d0b71986d38986b8e4f591c29566636d4d84b04fc62a7625c4ba8",
      "bucket": "emo_Fatigue_Exhaustion",
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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        3.2
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
        3.2
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/315004f376cff96c1a7a3acbad7d00be0782da52c0cff4f5cdc7a3a88532c6a4.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "31a45248856a3167c549327a1ddeb831cd367c86684943a1a79cfb10bd5eeedf",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "d1b3d26da38737db728a499f8d7bcc4085d93854dab0ae44438d2aac42588361",
      "generation_seconds_batch": 21.539163448964246,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.338973045349121,
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        "ce": 6.109982967376709,
        "genuineness": 4.419482707977295,
        "identity": 0.5867382287979126,
        "hypothesis": "Ik heb het kleine doosje gevonden, het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/31a45248856a3167c549327a1ddeb831cd367c86684943a1a79cfb10bd5eeedf.mp3"
    },
    {
      "id": "heldout-fr-1",
      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-1",
      "key": "321ca63018dedb76b638111f4b1afa8be018c34c895d7f89f9b00d40c01dc50b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Natural clear speech.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "88c42eefd3d33ff55143cebdbb8c7ed9a37043853c68e646a0a4dd1309b567a6",
      "generation_seconds_batch": 16.075832737027667,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.803718090057373,
        "target_z": 2.8125001584367544,
        "ce": 5.343515396118164,
        "genuineness": 4.68307638168335,
        "identity": 0.5933996438980103,
        "hypothesis": "Oh les clés sont sur la table de la cuisine. J'ai regardé dans le tiroir, puis près de la fenêtre. Prenez quand tu partiras.",
        "wer": 0.125,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/321ca63018dedb76b638111f4b1afa8be018c34c895d7f89f9b00d40c01dc50b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "32d7f61bb2b3feefbb7d7c7970a71f1b4757f1e5aa5230c6048fad292a63dbac",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f0963749c0489f26b7a2145650596ed2f5327bddc862d902689411c720088bc6",
      "generation_seconds_batch": 23.77136810205411,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.6854193210601807,
        "target_z": 2.593750086106932,
        "ce": 5.71682071685791,
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        "identity": 0.7652859091758728,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/32d7f61bb2b3feefbb7d7c7970a71f1b4757f1e5aa5230c6048fad292a63dbac.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "32e62eb3d4c02c044b32ad888122730a1becdbdc0b3f7a23379a3a66eb3df124",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "7169b42928fd246a1e8b87b7b6d17a342202f3cd9afc3969f0664e540e02b4bc",
      "generation_seconds_batch": 20.34587400802411,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.034776210784912,
        "target_z": 1.3906249087266525,
        "ce": 6.070269584655762,
        "genuineness": 4.632867813110352,
        "identity": 0.7119839191436768,
        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis-moi, quand tu es prêt.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/32e62eb3d4c02c044b32ad888122730a1becdbdc0b3f7a23379a3a66eb3df124.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "330e82ee7c0d72c5e4087bcb49f5c987b731cf7bc0376d3d4ea8355cbdc7bd66",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "cb7d6c7010fb50380c38411fa040ed5b328aa11eb836e1294a47e83c45f8719a",
      "generation_seconds_batch": 22.552604004042223,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.582706093788147,
        "target_z": 0.5546874629740194,
        "ce": 6.157639026641846,
        "genuineness": 4.356721878051758,
        "identity": 0.2781807780265808,
        "hypothesis": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/330e82ee7c0d72c5e4087bcb49f5c987b731cf7bc0376d3d4ea8355cbdc7bd66.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "331db348a9fb39944d4cd338d54f121fe3fb8d87b1cc96c6b67859dd622e4872",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 4.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "733f2fe71284f28462bf8524a68cb7b7b39db7d8839c057f63959c91c534fab6",
      "generation_seconds_batch": 21.02312556304969,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.800807476043701,
        "target_z": 4.65625032720634,
        "ce": 5.542081832885742,
        "genuineness": 4.582659721374512,
        "identity": 0.7530868649482727,
        "hypothesis": "He encontrado la cajita, estaba junto a la ventana vieja, podemos mirar juntos lo que hay dentro.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/331db348a9fb39944d4cd338d54f121fe3fb8d87b1cc96c6b67859dd622e4872.mp3"
    },
    {
      "id": "heldout-nl-2",
      "language": "nl",
      "sentences": [
        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
      "text": "De weg gaat linksaf na de brug. Loop verder... tot aan het kleine houten hek. Ik wacht aan de andere kant.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-2",
      "key": "33f63538ac2c49676cc53462aa2024b47e58cb29b8690774a6580785ecb0e60e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Ik wacht aan de andere kant.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Ik wacht aan de andere kant.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "99e5812f169f1a19e41e03a9ede1c6b48b3f3d4daee19a2794f4decd898d39de",
      "generation_seconds_batch": 15.416113436105661,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.1163647174835205,
        "target_z": 3.3906251291603975,
        "ce": 5.967014789581299,
        "genuineness": 4.2751336097717285,
        "identity": 0.619260311126709,
        "hypothesis": "De weg gaat linksaf na de brug. Loop verder. Tot aan het kleine houten hek. Ik wacht aan de andere kant.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/33f63538ac2c49676cc53462aa2024b47e58cb29b8690774a6580785ecb0e60e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "346b97ff665a732784ee5fb2fe3bdbeb528c358e91ba3a5826add39fa8b00b0c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "faa6425c4494f5c7d6df815ba1314cb2595b812d0188d87fd8cdf23f283c1201",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
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      "language": "en",
      "sentences": [
        "The road turns left behind the bridge.",
        "Keep going... until you reach the small wooden gate.",
        "I will meet you on the other side."
      ],
      "text": "The road turns left behind the bridge. Keep going... until you reach the small wooden gate. I will meet you on the other side.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] The road turns left behind the bridge.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Keep going... until you reach the small wooden gate.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] I will meet you on the other side.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 1.5,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "cfg": 1.25,
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      "generation_seconds_batch": 20.643091156031005,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "ce": 6.41180419921875,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/353661fd8f20a17c357fbd99d8417fb75d06e6e179ecc13d420a1599b8d221d4.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
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      "mp3_sha256": "42b1bec68f0bb3bb5dbbbde088a04113471ba92ce36ed081009bcb7a47ffb914",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.2037744522094727,
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        "ce": 6.086154937744141,
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        "wer": 0.05263157894736842,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/35495266359567626c85449aebc0f3881f15b8b19f71787633a1318e0f177c4b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "354e8d6a434453e245e17164b7a04ea111b5ad56cfcc61358d6b41e7eb0e836c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 1.25,
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      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "c0f24cf2924554c698a943b144b4ccec677a366135b16b2681f2fd4e866713ae",
      "generation_seconds_batch": 22.23410872905515,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.305173397064209,
        "target_z": 1.8906250740519612,
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        "hypothesis": "La porte est encore ouverte, j'ai posé ton manteau sur la chaise dis-moi quand tu es prêt.",
        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/354e8d6a434453e245e17164b7a04ea111b5ad56cfcc61358d6b41e7eb0e836c.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.5443992614746094,
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    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "original_audio_reused": false,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-en-1",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "37a06c12954df5bdba65978d248e121a8cab0d6f7192016a62cdfb1e74decf37",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/37a06c12954df5bdba65978d248e121a8cab0d6f7192016a62cdfb1e74decf37.mp3"
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    {
      "id": "heldout-nl-0",
      "language": "nl",
      "sentences": [
        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
      "sentence_seconds": [
        3.2,
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      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "task_id": "heldout-nl-0",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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        "I put your coat on the chair.",
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        "The door is still open.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "sentences": [
        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
      ],
      "text": "Ich schrieb die Nummer auf den Umschlag. Lies sie genau... und prüfe die letzten beiden Ziffern. Ruf an, wenn du Zeit hast.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/39c6186872c0dab14acbd55f70a52f0627ac70dc3a04ef8b49f29709519d1158.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "28fe296318cd8095eb7734be55359d75ad59b3d1b1e9d53f4bc05dc013227154",
      "generation_seconds_batch": 23.77611587406136,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.381826400756836,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3a50fdc4d3f8908f8e25441b5ce4a2f8489f8931b3d6fc5649138b2bfaf77cbf.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 1.25,
      "ended": true,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.233349084854126,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3ae5bfca31c17d73c16caec3d5f6f4fbe20e2704d705b198b37f7d6321c5e89e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "3b30e60c457257f49c4780316ccda3b8adc70f315522a4ffad3ab1dc28840c4b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "695469688d357103211510220e530346786c28f1ba3cfb943688a1f29b3557d0",
      "generation_seconds_batch": 20.44599387201015,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.4937000274658203,
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        "wer": 0.06666666666666667,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3b30e60c457257f49c4780316ccda3b8adc70f315522a4ffad3ab1dc28840c4b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "3b854077edb1912dce7e92c235807a1b8780fb5908ecbd25333a17c9d2b24c3d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "3958847421b5beeebefe746b06e08b5b366850c2e6ee2685c74ab7816eb1517b",
      "generation_seconds_batch": 21.763824327965267,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.5473101139068604,
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        "genuineness": 4.934117794036865,
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        "hypothesis": "He encontrado la cajita, estaba junto a la ventana vieja. ¿Podemos mirar juntos lo que hay dentro?",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3b854077edb1912dce7e92c235807a1b8780fb5908ecbd25333a17c9d2b24c3d.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "3bba0907b3d7446954b4d024ac5bef48cbe6ba3fd86073bf7e323032b2c874ff",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 3.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.4741716384887695,
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        "hypothesis": "The door is still open. I put your coat on the chair. Tell me when you are ready,",
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3bba0907b3d7446954b4d024ac5bef48cbe6ba3fd86073bf7e323032b2c874ff.mp3"
    },
    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "3c590f9302048ad206a88d3c2440f1028cc9eea1f1662250baf365be21a6ebfa",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "0ef216e5446c6014110383c4cda55c35fc634b17729873215f81f55d59a3f0af",
      "generation_seconds_batch": 14.922703159041703,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.1913696825504303,
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        "ce": 6.197352409362793,
        "genuineness": 4.432034492492676,
        "identity": 0.49316349625587463,
        "hypothesis": "De sleutels liggen op de keukentafel. Ik keek in de la en daarna naast het raam. Neem ze mee als je weggaat.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3c590f9302048ad206a88d3c2440f1028cc9eea1f1662250baf365be21a6ebfa.mp3"
    },
    {
      "id": "heldout-de-1",
      "language": "de",
      "sentences": [
        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-1",
      "key": "3cb23cef073521915e5fe8299841ed8694b006c7f578bb3d0b38d08364cd58fc",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Natural clear speech.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Natural clear speech.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "41541e81a176fb03fecae2a60219239cbbd884c7acaf2cf90e4253dd5748717a",
      "generation_seconds_batch": 21.54183263401501,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.800807476043701,
        "target_z": 4.65625032720634,
        "ce": 5.150905609130859,
        "genuineness": 4.444586753845215,
        "identity": 0.713512122631073,
        "hypothesis": "Drei Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
        "wer": 0.047619047619047616,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/3cb23cef073521915e5fe8299841ed8694b006c7f578bb3d0b38d08364cd58fc.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "3d5fc636168e7c34dd74e5f84cfa53babe3487934ccfee29dc65139ce799d5d1",
      "bucket": "emo_Fatigue_Exhaustion",
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        "He dejado tu abrigo sobre la silla.",
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      "sentences": [
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        "Wir können gemeinsam hineinschauen."
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    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "seconds_generated": 10.24,
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
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      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "metrics": {
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    {
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      "language": "nl",
      "sentences": [
        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
      "text": "De weg gaat linksaf na de brug. Loop verder... tot aan het kleine houten hek. Ik wacht aan de andere kant.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/434f953004ee3838b31e4f505ba0cb9202b34ab37936979fff50edb64a6a996f.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "43cf281cd0df39c0548b2322aecd6707fed1caafe1d2fd22a39caa3f0afa732a",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/43cf281cd0df39c0548b2322aecd6707fed1caafe1d2fd22a39caa3f0afa732a.mp3"
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    {
      "id": "heldout-es-3",
      "language": "es",
      "sentences": [
        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-3",
      "key": "43d771a5c055e2aea1186dc99f4cdef2b4c6bc8c6b2779ad35a29ca11c75a91c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La colocaremos después de comer.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "c5ed6cc39e849a7d6b03287fd9e928c5d63663e0c645443e2c3212cd119ed469",
      "generation_seconds_batch": 13.482298107002862,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.4749697744846344,
        "target_z": 0.3554687573190892,
        "ce": 5.998785495758057,
        "genuineness": 4.758388519287109,
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        "hypothesis": "Alguien ha movido la pequeña silla azul. Estaba aquí junto a la estantería alta. La colocaremos después de comer.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/43d771a5c055e2aea1186dc99f4cdef2b4c6bc8c6b2779ad35a29ca11c75a91c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "447ca047ca3831c99cb06b5a12cd4e21ec7c86fb9c0bac6e3f7b3c4f5ea922a5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "9e464cee28a49cae580274c12dd4e142ad8f616bb3ecd26e14b71012c8e19db7",
      "generation_seconds_batch": 15.503090420970693,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.964266300201416,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/447ca047ca3831c99cb06b5a12cd4e21ec7c86fb9c0bac6e3f7b3c4f5ea922a5.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "44c990b07c368e0d9e7216419760d0f9c37144db94a9d3cb9466db569e25ab3d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "b61f2ebe352412430f9dae9e915e2a036b0f4be68a9e119e1bf64f1453017100",
      "generation_seconds_batch": 16.6939540929161,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.0403153896331787,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/44c990b07c368e0d9e7216419760d0f9c37144db94a9d3cb9466db569e25ab3d.mp3"
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    {
      "id": "heldout-nl-4",
      "language": "nl",
      "sentences": [
        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Natural clear speech.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Natural clear speech.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "a8183848a0e7278603044186bf870c382a32ddd6b689d94bf560ba76415612a1",
      "generation_seconds_batch": 16.752011255943216,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.443000555038452,
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        "ce": 5.974957466125488,
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        "hypothesis": "Ik schreef het nummer op de Envelop. Lees het goed en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/44e30316df5b96b284970816860415436d0de1c2be49a9b2bfe0c581813af52c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "44ee154c0c45ee7fb3b38c26f801b761a928551d143cfb3d73fea2f6940d735b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "e69a8e3722aeddcdee1abd79d500ea8eaea8734932f5ba435b8cc7c53cde15fd",
      "generation_seconds_batch": 23.651916248025373,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.40920090675354,
        "target_z": 5.781250258320795,
        "ce": 5.363371849060059,
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        "hypothesis": "J'ai trouvé. Elle était de boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.15789473684210525,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/44ee154c0c45ee7fb3b38c26f801b761a928551d143cfb3d73fea2f6940d735b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "44f410bcd7f1fb21d44c8fe8236e29f5caeba889b31a4c70be65c6544cb15c84",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 3.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "d9a440d10856f4122a1a7f5e287c5463cb7836df03845555a94949391a9a7bcb",
      "generation_seconds_batch": 17.08680461894255,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.8684065341949463,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/44f410bcd7f1fb21d44c8fe8236e29f5caeba889b31a4c70be65c6544cb15c84.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "45287aa75ae9a3107b6aca63bf00168db8ae30a6f189c4e11a94abeaebb34a49",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 2.5,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "5b7870a024bbb77d527da9c3d7ba68a1a5aa83736fbbd7c8f5e320b00a1e52f4",
      "generation_seconds_batch": 21.36303892498836,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.6149094104766846,
        "target_z": 4.31250021354519,
        "ce": 5.403085231781006,
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        "identity": 0.4383533000946045,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/45287aa75ae9a3107b6aca63bf00168db8ae30a6f189c4e11a94abeaebb34a49.mp3"
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    {
      "id": "heldout-nl-4",
      "language": "nl",
      "sentences": [
        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-4",
      "key": "45579ad66feac8c510ef84cb62af9c7cfcc7d279597775fb88b72e45628119e4",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Natural clear speech.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Natural clear speech.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
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        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
      ],
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        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
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        3.2,
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        3.2
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        "Elle était ici... près de la grande bibliothèque.",
        "Nous la remettrons après le déjeuner."
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      "text": "Quelqu’un a déplacé la petite chaise bleue. Elle était ici... près de la grande bibliothèque. Nous la remettrons après le déjeuner.",
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      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
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        "We can look inside together."
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      "seconds": 10.2,
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      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "cfg": 1.5,
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      "seconds_generated": 10.24,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "seconds_generated": 10.24,
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      "language": "en",
      "sentences": [
        "The keys are on the kitchen table.",
        "I checked the drawer... then looked beside the window.",
        "Take them with you when you leave."
      ],
      "text": "The keys are on the kitchen table. I checked the drawer... then looked beside the window. Take them with you when you leave.",
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        3.2,
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The keys are on the kitchen table.\n(Natural clear speech.) [3.8 seconds duration] I checked the drawer... then looked beside the window.\n(Natural clear speech.) [3.2 seconds duration] Take them with you when you leave.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/496814be13c750da1b65e77bb1d1cd4801a84490892ffed36163c70c930f37c3.mp3"
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    {
      "id": "heldout-es-0",
      "language": "es",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Dime cuándo podemos hablar.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/49d468ae6540cc7c1e5b0e6883c25e2b29599458c9de0a5398000eaca62677ab.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/49f880d747ac170c60bbf5843eefd3a0ed249cd240d013edefefd1ab772511b5.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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        "Les clés sont sur la table de la cuisine.",
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        "Prends-les quand tu partiras."
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        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "Wir können gemeinsam hineinschauen."
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        "Het stond naast het oude raam.",
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        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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      "sentences": [
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        "Podemos mirar juntos lo que hay dentro."
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    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "id": "heldout-es-4",
      "language": "es",
      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Escribí el número en el sobre.\n(Natural clear speech.) [3.8 seconds duration] Léelo bien... y comprueba las dos últimas cifras.\n(Natural clear speech.) [3.2 seconds duration] Llámame cuando tengas un momento.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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        3.2,
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      "seconds": 10.2,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "4f63b760f4ad6f1ac29df4bb61a75a5368d32699018fb4cb828bdce3d972711f",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "scale": 0.5,
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.1530749797821045,
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    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "4ff525b71d3b5826640daf8ebff3048fd59ec08f573b0c1e379de0798a61eb06",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "scale": 0.5,
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      "metrics": {
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    {
      "id": "heldout-es-1",
      "language": "es",
      "sentences": [
        "Las llaves están en la mesa de la cocina.",
        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
      "text": "Las llaves están en la mesa de la cocina. Miré en el cajón... y luego junto a la ventana. Llévatelas cuando te vayas.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "key": "501ecf0cc0dbb8125d80c1199bba62b1eb79d30269ace194d2d668f4175be3b4",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Natural clear speech.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Natural clear speech.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "seed": 1702,
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      "cfg": 5.0,
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      "seconds_generated": 10.16,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "50660932e0b36a3119d3239dab57f5bc26f54ae74f75f677c38cdbd3d2ff7e13",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1701,
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      "seconds_generated": 10.24,
      "mp3_sha256": "d7688eb00681f4814a6548f02ff39dafb791c6047791c91963245c51b939e84d",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.39997681975364685,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/50660932e0b36a3119d3239dab57f5bc26f54ae74f75f677c38cdbd3d2ff7e13.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "508b6b0d199861d35c912bcc484897892c1311ed74b422fb0f3c511ca1c991e5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
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      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "ad70663be1538f486a67d7d37b59d0668597fdebc07f0d672726eb3054949981",
      "generation_seconds_batch": 21.539820856996812,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.1670641899108887,
        "target_z": 3.4843751601588933,
        "ce": 5.824047088623047,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/508b6b0d199861d35c912bcc484897892c1311ed74b422fb0f3c511ca1c991e5.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "50a73a43e369ee611925c8d03dce17939efa0ba0ef3b68758bc41230c2b97b2e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
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      "cfg": 3.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "8b553a49dbaee08a622ece1c27928a9b34f6641dc3f353bc3917f6c683f977ab",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.6347198486328125,
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        "genuineness": 4.632867813110352,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/50a73a43e369ee611925c8d03dce17939efa0ba0ef3b68758bc41230c2b97b2e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "50ae0ed14b6e341d933ce390eb1e6d7c4c9165e42a77b33efef3a8604f43e7bf",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
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      "cfg": 2.0,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 19.646250017918646,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.7361187934875488,
        "target_z": 2.687500117105427,
        "ce": 5.462655067443848,
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        "hypothesis": "J'ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        3.2
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
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      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
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      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
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      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
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        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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      "sentences": [
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        "It was beside the old window.",
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      "sentences": [
        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
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        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/54780195f72f06ee3069e646bf123fbe34d731775ebe4382d1f59dbff9b2dd02.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "54847745cf9fccedd6b51704de5340bf0a8b22a3fde0d8dbd7ff69e5d53bbd19",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "2228e47a582c03f6ed12cede23decc1c83c77067685460f3fc07980f14c50e4a",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.8853063583374023,
        "target_z": 4.812499938003009,
        "ce": 5.2918877601623535,
        "genuineness": 4.6956281661987305,
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        "hypothesis": "J'ai trouvé la petite boîte. Elle était près de là. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.2631578947368421,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/54847745cf9fccedd6b51704de5340bf0a8b22a3fde0d8dbd7ff69e5d53bbd19.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "5595446de39665ebc7f3bd6ec7c7f7aa9131430a96a41f34cabfc9c80f4026af",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 1.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.796044826507568,
        "identity": 0.6007245779037476,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5595446de39665ebc7f3bd6ec7c7f7aa9131430a96a41f34cabfc9c80f4026af.mp3"
    },
    {
      "id": "heldout-es-2",
      "language": "es",
      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-2",
      "key": "55f94de6d73f2867921685f17f96cb8d0e241a9d864ada11861cfe3333253e9e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La carretera gira a la izquierda tras el puente.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sigue... hasta la pequeña puerta de madera.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Te esperaré al otro lado.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La carretera gira a la izquierda tras el puente.\n(Natural clear speech.) [3.8 seconds duration] Sigue... hasta la pequeña puerta de madera.\n(Natural clear speech.) [3.2 seconds duration] Te esperaré al otro lado.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "12cb72167fa073951347d06f138556854fbd17841efcc96cdf9f9ec815f2eac8",
      "generation_seconds_batch": 21.450998093932867,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.5473101139068604,
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        "ce": 5.657250881195068,
        "genuineness": 4.545003414154053,
        "identity": 0.4301641583442688,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/55f94de6d73f2867921685f17f96cb8d0e241a9d864ada11861cfe3333253e9e.mp3"
    },
    {
      "id": "heldout-nl-0",
      "language": "nl",
      "sentences": [
        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Je bericht kwam nadat ik vertrokken was.\n(Natural clear speech.) [3.8 seconds duration] Ik las het twee keer... en legde mijn telefoon weg.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer we kunnen praten.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "0b8303cb3005dd5ff0340b5e76315415df90c8873c5346e9bce0c704f0e18d53",
      "generation_seconds_batch": 16.78469371504616,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.5980095863342285,
        "target_z": 4.281250203212359,
        "ce": 5.895530700683594,
        "genuineness": 4.494794845581055,
        "identity": 0.596849799156189,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5605c1184d9453604dd774e8ef3c294b6ba7649b3f1208caf27045babb521fc4.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "56224328b1ed3947c323a015d1defd16aad07b150bb266ddda0f6be83e33527b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "eae6a20e1e933beb035772fee1d87a6d12f799a0a0ec3c1493ffad0fb0bef584",
      "generation_seconds_batch": 21.30017559591215,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.5642099380493164,
        "target_z": 4.218750182546695,
        "ce": 5.311744689941406,
        "genuineness": 4.645420074462891,
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        "wer": 0.05555555555555555,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/56224328b1ed3947c323a015d1defd16aad07b150bb266ddda0f6be83e33527b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "565cb157ea56ab8af4d9f894569e80736dd6fb94cdd757a3d2d96305848d2ecf",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
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      "cfg": 3.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "c50cb501f9add8b8e38d309680f879724becc922241a487086b45f85fb7d9aef",
      "generation_seconds_batch": 15.689396557048894,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.4036617279052734,
        "target_z": 3.9218753048185384,
        "ce": 5.49045467376709,
        "genuineness": 4.984326362609863,
        "identity": 0.5877348780632019,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/565cb157ea56ab8af4d9f894569e80736dd6fb94cdd757a3d2d96305848d2ecf.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "56bf9fbad4b9470047cafabc10eb4f78267fb42d1648e7253d00624e2fbcb5fd",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "e837b742ffe3e3bb9eb3334008fa65a705a51dd747a219b369fd682aa89a4d6e",
      "generation_seconds_batch": 20.926585896057077,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.1895031929016113,
        "target_z": 5.375000123993981,
        "ce": 5.279973983764648,
        "genuineness": 4.65797233581543,
        "identity": 0.6145855784416199,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/56bf9fbad4b9470047cafabc10eb4f78267fb42d1648e7253d00624e2fbcb5fd.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "56f383cf213948289fc5a92a8e40bb65ca77db03e3b22a740c38d57758477e7b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1702,
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      "cfg": 2.0,
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      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "97023b333bb6d7e475592dae0b6b15ab18af3913afb8379729eb0ff1a8cff1aa",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "max_frames": 188,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "5778b6e17102183cd3c92d04b0aeb0c38ce110dc4c4345b59abb3b759ba01309",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "57bf1089fa8b90fb0994f99fb7979b7cceb4174a0d866da21e30d3dd6504f81a",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.3896725177764893,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/57e13190b4554a151ed2f024f792ca8713a07a67f4c94db8b5a2b8b26da57080.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1702,
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      "cfg": 1.25,
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      "seconds_generated": 10.16,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/57fa06b27a0cd9c7df663ef28ab861e5bdbb28a8a8eb7aaba5b0d0fa4f0ff6bc.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "58bc1800111638fb04a1c36d7e265743f8a4a59e1c14d39996e0b2ac2e049592",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
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      "seconds_generated": 10.16,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "It was beside the old window.",
        "We can look inside together."
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        3.2,
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
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      "id": "emo_Fatigue_Exhaustion-es-1",
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
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      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La carretera gira a la izquierda tras el puente.\n(Natural clear speech.) [3.8 seconds duration] Sigue... hasta la pequeña puerta de madera.\n(Natural clear speech.) [3.2 seconds duration] Te esperaré al otro lado.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5af527ae3c31b34b25571773383333d4f51cced0765d340724cafdfa5952c8a0.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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        3.2,
        3.8,
        3.2
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      "language": "en",
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        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
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        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
      "id": "heldout-fr-1",
      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Natural clear speech.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Prends-les quand tu partiras.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5ce1edf01e067d55747be5803ddfd7ae4d6479596d42832ac67b6e9e89b77c92.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "5ce7f604b9d3b2b91d100feaa8501d4204eba15d2b5bf52f58744b859e403fc8",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "64083be4f1d54b870f4bb1f11aafa65fe5aa1a61a81f8dfa0fccfdf64c17804e",
      "generation_seconds_batch": 21.639968949952163,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.7897288799285889,
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        "ce": 6.0146708488464355,
        "genuineness": 4.7834930419921875,
        "identity": 0.6573578715324402,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5ce7f604b9d3b2b91d100feaa8501d4204eba15d2b5bf52f58744b859e403fc8.mp3"
    },
    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "5cf516d6fef0d4fda1c95421acb19b64130536365aab1c3c69db4be657e4560f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "9e3db241344937ad79662b776dd3de685dd342cc6e8ab2ddf932d4f8f216d115",
      "generation_seconds_batch": 16.905436469009146,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.105004072189331,
        "target_z": 5.218750072329823,
        "ce": 5.7128496170043945,
        "genuineness": 4.21237325668335,
        "identity": 0.3589975833892822,
        "hypothesis": "De sleutels liggen op de keukentafel. Een kikje in de la. En daarna naast het raam. Neem ze mee als je weggaat.",
        "wer": 0.09090909090909091,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5cf516d6fef0d4fda1c95421acb19b64130536365aab1c3c69db4be657e4560f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "5cf94062d05b6da25fd3a5e236d6f5def92e773e46f95d7b3d9e0029238de449",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "e7e16582f26ac4611c9ffed1aa74afc0a3cf4c2ffac32fdc5b2447e231b335c8",
      "generation_seconds_batch": 21.292333215940744,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.4910714626312256,
        "target_z": 2.2343751877131113,
        "ce": 6.252951145172119,
        "genuineness": 4.507347106933594,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5cf94062d05b6da25fd3a5e236d6f5def92e773e46f95d7b3d9e0029238de449.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "5d13cfa43fa083ee0429cacdd74b42a686f82b883c253d69b15243cc5c3aa681",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "b60a564b9a04dcdbbcb1d1d8adb9f9daa7fe475ecfc788f7a6a4079042472b0c",
      "generation_seconds_batch": 22.669840955059044,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.9529056549072266,
        "target_z": 4.937499979334336,
        "ce": 5.212460994720459,
        "genuineness": 4.394378662109375,
        "identity": 0.6464939117431641,
        "hypothesis": "Me he encontrado la cajita, estaba junto la ventana vieja, podemos mirar juntos lo que hay dentro.",
        "wer": 0.11764705882352941,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5d13cfa43fa083ee0429cacdd74b42a686f82b883c253d69b15243cc5c3aa681.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "5d52fda4265155782c5786f3861b9a00c0d5991071aa4dd19dc852cbd446d124",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "137a5ea6c2c2b7a59e45b21c902fcc9c70cab8e2abbe31eeea42f3d1294e2f0e",
      "generation_seconds_batch": 19.758079020073637,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.2740023136138916,
        "target_z": 5.5312501756581405,
        "ce": 6.0146708488464355,
        "genuineness": 4.921566009521484,
        "identity": 0.8028173446655273,
        "hypothesis": "J'ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5d52fda4265155782c5786f3861b9a00c0d5991071aa4dd19dc852cbd446d124.mp3"
    },
    {
      "id": "heldout-de-3",
      "language": "de",
      "sentences": [
        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-3",
      "key": "5d6cdfdb07fb3e2391de2cde6bb2a9e670b088ef270208d169d5d5fa7eeeee09",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Natural clear speech.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Natural clear speech.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "2ae2fef50292fde2c881a89310223a12d83d0d4dbeed10fe5bae6c1b97c601fd",
      "generation_seconds_batch": 22.589740323019214,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.767007827758789,
        "target_z": 4.593750306540677,
        "ce": 5.847874641418457,
        "genuineness": 4.545003414154053,
        "identity": 0.8394855856895447,
        "hypothesis": "Jemand hat den kleinen Plauenstuhl umgestellt. Er stand hier neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
        "wer": 0.09523809523809523,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5d6cdfdb07fb3e2391de2cde6bb2a9e670b088ef270208d169d5d5fa7eeeee09.mp3"
    },
    {
      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-2",
      "key": "5e0af124ad7421917e897f2876d49b25e213a1bc87e01fe43f09b9c255c2a32f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "db8ced2aacf6a383eca5ff8b23ac17a0f1c4376491832d3c86772312279f2e74",
      "generation_seconds_batch": 16.418740987894125,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.1868746280670166,
        "target_z": 1.6718750017221387,
        "ce": 6.205295085906982,
        "genuineness": 4.595211505889893,
        "identity": 0.7368557453155518,
        "hypothesis": "La route tourne à gauche après le pont. Continue jusqu'à la petite barrière en bois je t'attendrai de l'autre côté.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/5e0af124ad7421917e897f2876d49b25e213a1bc87e01fe43f09b9c255c2a32f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "5e373dd20d81ef3fcc5d8f8c0805bfa406ba1686ee5eec9b1c0029c36468dcc0",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
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        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
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        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "metrics": {
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      "sentences": [
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        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        3.2
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        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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      "sentences": [
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        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
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        "Wir können gemeinsam hineinschauen."
      ],
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        "Wir können gemeinsam hineinschauen."
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "cfg": 1.5,
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      "seconds_generated": 10.24,
      "mp3_sha256": "436729d638cdd3d74c5028bde47ed6ff3ae9f87cf92598d532533f74a37725c8",
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      "metrics": {
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        "genuineness": 4.645420074462891,
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      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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    {
      "id": "heldout-de-0",
      "language": "de",
      "sentences": [
        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Natural clear speech.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wann wir reden können.",
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      "seconds_generated": 10.24,
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
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      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/66617f47e06e3d1881978b66a7ad47271b2cb90734c6cd3879a9fcf168df5843.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "seconds_generated": 10.16,
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      "generation_seconds_batch": 21.329384471988305,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.459900379180908,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/66a8caa8a9d034e35966472a82ffd85f325e36055ffa969f363a273b11a1c979.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "66f81f140989502b9eeaeea81faacb5724251948d4abf90d2ecd33cd162f8c9f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.5586705207824707,
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        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/66f81f140989502b9eeaeea81faacb5724251948d4abf90d2ecd33cd162f8c9f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "6788be4813ac96a6a773def570cfb79da59a5529e3e5c7906540d15caf3cf810",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.121903896331787,
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        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "language": "fr",
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        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
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        3.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai écrit le numéro sur l’enveloppe.\n(Natural clear speech.) [3.8 seconds duration] Lis-le bien... et vérifie les deux derniers chiffres.\n(Natural clear speech.) [3.2 seconds duration] Appelle-moi quand tu auras un moment.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/690e316698a671a0af039d79163d7fcd743173641709ebe725ee6244d7d06424.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "69586cb77a720d9df881005104211a3235dea07a9b969394fed94830ca058015",
      "bucket": "emo_Fatigue_Exhaustion",
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
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        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
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        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
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        "Estaba junto a la ventana vieja.",
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      "language": "en",
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        "I checked the drawer... then looked beside the window.",
        "Take them with you when you leave."
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      "language": "en",
      "sentences": [
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        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6ac10f3261991997386f52ad6a96be1b4e626cbf6c0a406d1075844c1c17480e.mp3"
    },
    {
      "id": "heldout-en-4",
      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
      "text": "I wrote the number on the envelope. Read it carefully... and check the last two digits. Call me when you have a moment.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
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      "key": "6adb26e37bc6acfb20c03b7056c5a14322174db0e129bf301399ccc9acf63125",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I wrote the number on the envelope.\n(Natural clear speech.) [3.8 seconds duration] Read it carefully... and check the last two digits.\n(Natural clear speech.) [3.2 seconds duration] Call me when you have a moment.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "d622ba869b88b870ac02d55bdfa3a93f5f6d994dbaa3f8a792b0058785f805b3",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.8882172107696533,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6adb26e37bc6acfb20c03b7056c5a14322174db0e129bf301399ccc9acf63125.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "6b444280662307f2257c11f87cc2d3278dad7ced268ef0a0201620af5d260148",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "78ec6bc5622bbaf959aa225d085913607c947a80ae8048bd59f0fa3a56d07d1d",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.2967233657836914,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6b444280662307f2257c11f87cc2d3278dad7ced268ef0a0201620af5d260148.mp3"
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    {
      "id": "heldout-es-3",
      "language": "es",
      "sentences": [
        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-3",
      "key": "6b973c750e3616c70f28663c29496a0c74bea4a87dff4bad65cadc5394b99131",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La colocaremos después de comer.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La colocaremos después de comer.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "4bd228c779f6413c951fd53d99027daa4c4069a7e25c4c43c3aeb246a19e413f",
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      "original_audio_reused": false,
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      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6b973c750e3616c70f28663c29496a0c74bea4a87dff4bad65cadc5394b99131.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "6bf06fdcc4c0914ae35ab749469c5bd8992e2feb20ce3276e0fe693533925fcf",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "339ce9230c19de8e7a311c2d39c27a264310cf83b08e4c3d0ddb6608e5fb880c",
      "generation_seconds_batch": 19.87447129993234,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.3516478538513184,
        "target_z": 1.9765624922503762,
        "ce": 5.871703147888184,
        "genuineness": 4.519899368286133,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6bf06fdcc4c0914ae35ab749469c5bd8992e2feb20ce3276e0fe693533925fcf.mp3"
    },
    {
      "id": "heldout-es-0",
      "language": "es",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-0",
      "key": "6c0bab36575f6d205cc74d898ae5f2b4d6274f3704a93d1dbe4eb7458f36681f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo podemos hablar.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Natural clear speech.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo podemos hablar.",
      "seed": 1702,
      "scale": 0.0,
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      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "097a09f46d1d09a75cd58e30788c7f851b9455162f2f7018b4bb5c4e4195c673",
      "generation_seconds_batch": 15.872356152976863,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.037404775619507,
        "target_z": 5.093750030998495,
        "ce": 5.315715789794922,
        "genuineness": 4.595211505889893,
        "identity": 0.7012168169021606,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6c0bab36575f6d205cc74d898ae5f2b4d6274f3704a93d1dbe4eb7458f36681f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "6c1f6546c7a8f2c69fedfa52b77f3288e1c1d518baf7ef6bbe0fcc2a0794b3f3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
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      "cfg": 3.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "979754c6e6f58e6cb2ba2eedd09fce7572a241708a1c9140da267d314fc19572",
      "generation_seconds_batch": 15.234916668967344,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.8853063583374023,
        "target_z": 4.812499938003009,
        "ce": 5.359400749206543,
        "genuineness": 4.557555198669434,
        "identity": 0.6088950634002686,
        "hypothesis": "J'ai trouvé la petite boîte elle était près de la vieille fenêtre nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6c1f6546c7a8f2c69fedfa52b77f3288e1c1d518baf7ef6bbe0fcc2a0794b3f3.mp3"
    },
    {
      "id": "heldout-nl-2",
      "language": "nl",
      "sentences": [
        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
      "text": "De weg gaat linksaf na de brug. Loop verder... tot aan het kleine houten hek. Ik wacht aan de andere kant.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-2",
      "key": "6c3d18f984cddeca45e70c82feb4f7e5c0344c6a6e93a7de07dd959e724fd4e9",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Ik wacht aan de andere kant.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Natural clear speech.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Natural clear speech.) [3.2 seconds duration] Ik wacht aan de andere kant.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "7c9ae87a6e1d1f6bba6b9a3493d34c5fe577f6286ce9c65037bf033d35cd2ccd",
      "generation_seconds_batch": 22.98461381997913,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.5781989097595215,
        "target_z": 6.093749920781622,
        "ce": 5.266074180603027,
        "genuineness": 4.005263805389404,
        "identity": 0.11347031593322754,
        "hypothesis": "De weg gaat linksaf naar de brug. Loop verder. Tot aan het kleine houten hek. Ik wacht een andere kant.",
        "wer": 0.14285714285714285,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6c3d18f984cddeca45e70c82feb4f7e5c0344c6a6e93a7de07dd959e724fd4e9.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "6c4d3ed29ed0a8e59bf03fcc09aded81106a6f11f80056126b3f9ccbcffee4aa",
      "bucket": "emo_Fatigue_Exhaustion",
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        "I found the little box.",
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        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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      "language": "de",
      "sentences": [
        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
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      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6df0948236c29e589041ec6deda8cd0330e8a2a1049b1361c991b22af82e03f6.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "6e46ac2fdb6a5e69c244f3e9c07efa05f80b870eee61937b4c337ac1d5555fae",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "9b1bc672e874d672c685495bf6540165f4279cdf491854053c43f59669b7bfe6",
      "generation_seconds_batch": 16.80797480500769,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.8515067100524902,
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        "wer": 0.0,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6e46ac2fdb6a5e69c244f3e9c07efa05f80b870eee61937b4c337ac1d5555fae.mp3"
    },
    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "6e524bcd87c116e9c1e49acc85eb1cf7f90effc0a66df0ed0ec7edd1536555e9",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "fc2fe24a9d038b02494829f719f6c9ea8c7430f1566c5c3a4076ccbb24ffecaf",
      "generation_seconds_batch": 21.35679309500847,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.09090909090909091,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6e524bcd87c116e9c1e49acc85eb1cf7f90effc0a66df0ed0ec7edd1536555e9.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "6f83f04b5f403148a41112beaa4c164d7eb475254beae17af664eee23531fe8b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "82738e4feebc5c12d1011e647f6e6f6aba2bb522e0320a269482d2655f4fd0c4",
      "generation_seconds_batch": 22.818801123998128,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.5274996757507324,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6f83f04b5f403148a41112beaa4c164d7eb475254beae17af664eee23531fe8b.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 2.0,
      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "a4d47f721d7a2889ce28e8f29cde49e8518b5ecbc7e075996edb0bbf0149bed1",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.9164775013923645,
        "target_z": 1.1718749466137024,
        "ce": 6.221180438995361,
        "genuineness": 4.482243061065674,
        "identity": 0.24708428978919983,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6fa365d376c1abc7fd050f72b88cda23ff8e2d9d35e51173f21268df9e81095a.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "6fa8ddca293e6ec8f1455f6ac26977737b26f712bad5be6acb03d77a925bc75c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "cfg": 1.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.2605533301830292,
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        "ce": 6.157639026641846,
        "genuineness": 4.808597087860107,
        "identity": 0.8761129379272461,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/6fa8ddca293e6ec8f1455f6ac26977737b26f712bad5be6acb03d77a925bc75c.mp3"
    },
    {
      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-2",
      "key": "7136dfe2aa6c3c1e53d60f8fcb592ed9af944bc3476df52f03b895d7c7a1ca01",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Natural clear speech.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Natural clear speech.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.341601610183716,
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        "ce": 5.6254801750183105,
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        "hypothesis": "La route tourne à gauche après le pont, continue jusqu'à la petite barrière en bois. Je t'attendrai de l'autre côté.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/7136dfe2aa6c3c1e53d60f8fcb592ed9af944bc3476df52f03b895d7c7a1ca01.mp3"
    },
    {
      "id": "heldout-fr-4",
      "language": "fr",
      "sentences": [
        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-4",
      "key": "720164f984fd10d9b82e8d3c39f4510e6165fc9ed4e9b91f5d042b9c1e50401d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai écrit le numéro sur l’enveloppe.\n(Natural clear speech.) [3.8 seconds duration] Lis-le bien... et vérifie les deux derniers chiffres.\n(Natural clear speech.) [3.2 seconds duration] Appelle-moi quand tu auras un moment.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "2e6364ecefc023d415a29501b7c2eacf8e864e22f80fa6baafdf03a76b5731c1",
      "generation_seconds_batch": 21.268063241033815,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.817707061767578,
        "target_z": 4.687499896671682,
        "ce": 5.307773113250732,
        "genuineness": 4.507347106933594,
        "identity": 0.8418337106704712,
        "hypothesis": "J'ai écrit le numéro sur l'enveloppe, les p... le bien et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
        "wer": 0.09090909090909091,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/720164f984fd10d9b82e8d3c39f4510e6165fc9ed4e9b91f5d042b9c1e50401d.mp3"
    },
    {
      "id": "heldout-en-4",
      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
      "text": "I wrote the number on the envelope. Read it carefully... and check the last two digits. Call me when you have a moment.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-4",
      "key": "7221e890bc03432ed0b842b9011feaae20f317de1a0f71f2708b5f15c5d6475a",
      "bucket": "emo_Fatigue_Exhaustion",
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        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
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        "He dejado tu abrigo sobre la silla.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
        3.8,
        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/778411e18ac99cf4d96a7bdf31f258754e06ffc76380b8008a4c10c84be632cf.mp3"
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    {
      "id": "heldout-fr-3",
      "language": "fr",
      "sentences": [
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        "Elle était ici... près de la grande bibliothèque.",
        "Nous la remettrons après le déjeuner."
      ],
      "text": "Quelqu’un a déplacé la petite chaise bleue. Elle était ici... près de la grande bibliothèque. Nous la remettrons après le déjeuner.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-3",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Quelqu’un a déplacé la petite chaise bleue.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Elle était ici... près de la grande bibliothèque.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Nous la remettrons après le déjeuner.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/77962898fb95ddc0e92a153772191fe01482e40f98d2245158cb92652e8a93c1.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
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        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "779b861f5c6c5076966870c6dfdb03e11b0c3a4ddf69cc7bff2926d390d736e9",
      "bucket": "emo_Fatigue_Exhaustion",
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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        "Het stond naast het oude raam.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
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        3.2
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        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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    },
    {
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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        "Las llaves están en la mesa de la cocina.",
        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
      "text": "Las llaves están en la mesa de la cocina. Miré en el cajón... y luego junto a la ventana. Llévatelas cuando te vayas.",
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Natural clear speech.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Natural clear speech.) [3.2 seconds duration] Llévatelas cuando te vayas.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
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      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
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        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Neem ze mee als je weggaat.",
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        "hypothesis": "De sleutels liggen op de keukentafel. Ik keek in de la en daarna naast het raam. Neem ze mee als je weggaat.",
        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/794d3b9296e3c4be7c1e4182a2fa3cf095f7d593990763ce0f19c1f5e499a989.mp3"
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    {
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        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
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      "bucket": "emo_Fatigue_Exhaustion",
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        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
      "sentence_seconds": [
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      "key": "7a2bd935978f17d080e233f26bd7cb2a273df983dad8358690f505e6a817b996",
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      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Deine Nachricht kam, als ich schon weg war.\n(Natural clear speech.) [3.8 seconds duration] Ich las sie zweimal... dann legte ich das Handy weg.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wann wir reden können.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "de8e0e394252c44f534fab2d6b52e7f06983c8be287c5fdd2a8c29c76e54fe09",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
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        3.2,
        3.8,
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "original_audio_reused": false,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.8797671794891357,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/7b5694fb13d6c1d3353bfb7f272132164f7546455dadd3cd289e601dbef95a41.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/7bc60b056b70207cbf7cf292725e5106c0cf5f24aa8baa278a23d1323869a763.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
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      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "7be5ce7cf55b85d7be9283d9cbf7e2d55bb803f58fd6662252d5899c41f61342",
      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        3.2,
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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      "id": "emo_Fatigue_Exhaustion-en-0",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
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      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "id": "heldout-en-4",
      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
      "text": "I wrote the number on the envelope. Read it carefully... and check the last two digits. Call me when you have a moment.",
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      "seconds": 10.2,
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        "I checked the drawer... then looked beside the window.",
        "Take them with you when you leave."
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        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
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        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
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        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
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      "metrics": {
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        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "metrics": {
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        "genuineness": 4.833701133728027,
        "identity": 0.755843997001648,
        "hypothesis": "J'ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/80b2feb427f21c29d09592ba760b599171e6398a33266835916212883db35ec2.mp3"
    },
    {
      "id": "heldout-es-1",
      "language": "es",
      "sentences": [
        "Las llaves están en la mesa de la cocina.",
        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
      "text": "Las llaves están en la mesa de la cocina. Miré en el cajón... y luego junto a la ventana. Llévatelas cuando te vayas.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-1",
      "key": "80c2597a6b8f43b5338a6b37d654868d679f46ded48514b42837ab18fba327ad",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "a3ebdf4403bee45965462b740b2a9ba36d8253df60dbc96bf29378a03fe4ead1",
      "generation_seconds_batch": 15.856443743105046,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.4506762623786926,
        "target_z": 0.3105468399114253,
        "ce": 6.149696350097656,
        "genuineness": 4.582659721374512,
        "identity": 0.5608736276626587,
        "hypothesis": "Las llaves están en la mesa de la cocina. Mire en el cajón y luego, junto a la ventana, llévatelas cuando te vayas.",
        "wer": 0.043478260869565216,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/80c2597a6b8f43b5338a6b37d654868d679f46ded48514b42837ab18fba327ad.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "814006acf8ffbb88d948df7b2989db841768fa1ac9935b5962118fc50a10a8bb",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "cbf7ff7c3d217588eb2ec73b3ebdb061b1f540e452e95e0e8dbd6ccdee3175be",
      "generation_seconds_batch": 22.26232389290817,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.6009202003479004,
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        "ce": 6.197352409362793,
        "genuineness": 4.871357440948486,
        "identity": 0.5740853548049927,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/814006acf8ffbb88d948df7b2989db841768fa1ac9935b5962118fc50a10a8bb.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "81459bb98b2983a8e52b9a3914e02b109b6b393553c465032a10c2248a34359e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "639a8bc0e0d82a935e527685b268870088fe495890db25acd141bbfaee778587",
      "generation_seconds_batch": 22.97298427403439,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.358501434326172,
        "target_z": 5.6875002273223,
        "ce": 5.414999485015869,
        "genuineness": 4.293961524963379,
        "identity": 0.4061264395713806,
        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen daar samen in kijken.",
        "wer": 0.05555555555555555,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/81459bb98b2983a8e52b9a3914e02b109b6b393553c465032a10c2248a34359e.mp3"
    },
    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "816e934249419f65501fdbeb41c31f90622e3edd05148c791f59c5e15f69ec0b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "2e3316f07dd573c9be077c14122e26a073584682d0a942bb6a994a5d1098095a",
      "generation_seconds_batch": 15.48974129196722,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.2740023136138916,
        "target_z": 5.5312501756581405,
        "ce": 5.5738525390625,
        "genuineness": 4.168440818786621,
        "identity": 0.04537495970726013,
        "hypothesis": "De sleutels liggen op de keukentafel. Kijk je dan. En daarna naast het raam. Neem ze mee dat je weggaat.",
        "wer": 0.2727272727272727,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/816e934249419f65501fdbeb41c31f90622e3edd05148c791f59c5e15f69ec0b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "81c916b3516ba699e399305a629488f8a86b6c39f216aa2b333003c84eba2497",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "44ced714a15c5289964d9a9b092225d0deecc36c991946fd5d6721aa67f50957",
      "generation_seconds_batch": 21.739978451048955,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.2909021377563477,
        "target_z": 5.562500185990973,
        "ce": 5.403085231781006,
        "genuineness": 4.545003414154053,
        "identity": 0.7360391020774841,
        "hypothesis": "Una puerta sigue abierta, he dejado tu abrigo sobre la silla, dime cuándo estás listo.",
        "wer": 0.06666666666666667,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/81c916b3516ba699e399305a629488f8a86b6c39f216aa2b333003c84eba2497.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "81f9598ae8a49c9847f71de0d054274c877ec97302f3bd1b0fc7c7e51c14c8a3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "84f1d9058b0e8f4e16e6751f23d4f9b1072a4cbc927fd5e41eaff568c6f6cd33",
      "generation_seconds_batch": 22.669840955059044,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.2740023136138916,
        "target_z": 5.5312501756581405,
        "ce": 5.375286102294922,
        "genuineness": 4.68307638168335,
        "identity": 0.6979455947875977,
        "hypothesis": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/81f9598ae8a49c9847f71de0d054274c877ec97302f3bd1b0fc7c7e51c14c8a3.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "8214843cd8f93a6a2a8727615a54e779535bd96f1834d3ec8bc30d8dad574656",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "854487e127c0ff0f96d7331c582706b612e0bc652d0755da0cf41a8b619c4f19",
      "generation_seconds_batch": 14.7830396220088,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.8628673553466797,
        "target_z": 2.9218749741679204,
        "ce": 6.09409761428833,
        "genuineness": 4.7332844734191895,
        "identity": 0.8389857411384583,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/8214843cd8f93a6a2a8727615a54e779535bd96f1834d3ec8bc30d8dad574656.mp3"
    },
    {
      "id": "heldout-en-1",
      "language": "en",
      "sentences": [
        "The keys are on the kitchen table.",
        "I checked the drawer... then looked beside the window.",
        "Take them with you when you leave."
      ],
      "text": "The keys are on the kitchen table. I checked the drawer... then looked beside the window. Take them with you when you leave.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The keys are on the kitchen table.\n(Natural clear speech.) [3.8 seconds duration] I checked the drawer... then looked beside the window.\n(Natural clear speech.) [3.2 seconds duration] Take them with you when you leave.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "sentences": [
        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
      "text": "De weg gaat linksaf na de brug. Loop verder... tot aan het kleine houten hek. Ik wacht aan de andere kant.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Natural clear speech.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Natural clear speech.) [3.2 seconds duration] Ik wacht aan de andere kant.",
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    {
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
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        3.2
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      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Your message arrived after I had left.\n(Natural clear speech.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Natural clear speech.) [3.2 seconds duration] Let me know when we can talk.",
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      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
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        3.2,
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
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        3.2,
        3.8,
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      "seconds_generated": 10.16,
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      "id": "heldout-fr-4",
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        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "frames": 128,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/861a62331a1c442692c61118139b24553d471210adcbf4e7ef5dc837320f98f8.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
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      "bucket": "emo_Fatigue_Exhaustion",
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        "The door is still open.",
        "I put your coat on the chair.",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
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        "Nous pouvons regarder ensemble ce qu’elle contient."
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        "De deur staat nog open.",
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        "Zeg maar wanneer je klaar bent."
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        "Nous la remettrons après le déjeuner."
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        "Lo leí dos veces... y guardé el teléfono.",
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      "sentences": [
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        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
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      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
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        3.2
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/89b5064218ee4f6591c8ae535c4bc18c09b6629bbbeaf132fec0ecf7d70ad8fb.mp3"
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    {
      "id": "heldout-de-1",
      "language": "de",
      "sentences": [
        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Natural clear speech.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Natural clear speech.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "language": "en",
      "sentences": [
        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
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      "text": "Someone moved the little blue chair. It used to stand here... beside the tall bookshelf. We can put it back after lunch.",
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Someone moved the little blue chair.\n(Natural clear speech.) [3.8 seconds duration] It used to stand here... beside the tall bookshelf.\n(Natural clear speech.) [3.2 seconds duration] We can put it back after lunch.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/8af4502fff53b7dfd5139ddac0b1d64d0c9a7a81903492fd8b3cb76b11e29a19.mp3"
    },
    {
      "id": "heldout-de-2",
      "language": "de",
      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "8cb7e11eb19cb8847118cfb4c92410c1556188f70fa32fed5cc20a40b4c695a3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        "Het stond naast het oude raam.",
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      "sentences": [
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        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
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      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
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        3.2
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      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
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      ],
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      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
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        "Deine Nachricht kam, als ich schon weg war.",
        "Ich las sie zweimal... dann legte ich das Handy weg.",
        "Sag mir, wann wir reden können."
      ],
      "text": "Deine Nachricht kam, als ich schon weg war. Ich las sie zweimal... dann legte ich das Handy weg. Sag mir, wann wir reden können.",
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        "Estaba junto a la ventana vieja.",
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      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
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        3.2,
        3.8,
        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-nl-1",
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
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        3.2,
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      "sentences": [
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        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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        3.2,
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
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      "task_id": "emo_Fatigue_Exhaustion-es-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
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      "language": "de",
      "sentences": [
        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
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        3.8,
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      "seconds": 10.2,
      "frames": 128,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Natural clear speech.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Natural clear speech.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "Ik heb het een klein doosje gevonden. Het stond naast het oude graam. We kunnen er samen in kijken.",
        "wer": 0.16666666666666666,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/989a858babee36854087e2ea0f3dd571e970f9c0fbfc27a479d06189075dcd02.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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      "sentences": [
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        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1701,
      "scale": 1.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "c03f1ce6d124e14e62e7199ae31965c17334fd673cf701b3d6d05abc2282e6ee",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/9c7a4f6fd16e5ab8ed30a55d2fd583a4e8dba3beca261bdddd575047b4f3a631.mp3"
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      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-2",
      "key": "9c969db20a6db380e08592f6aed9c9189b3db634d677ebe8f573f593ebdfd2d3",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La carretera gira a la izquierda tras el puente.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Sigue... hasta la pequeña puerta de madera.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Te esperaré al otro lado.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "frames": 128,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "seconds_generated": 10.24,
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/9e35b090053211460b09c99763e27f55ae42c191b32332f9cda2a25164395a7b.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.769918441772461,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/9e39e0a3e7663d56142ad9556f784b628fd04645f519e1c084173090f6f77a95.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/9f6a5dbffdae9f272f2303c1c6decd4f07d824276e552d0fef8831aa2bd351d1.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/9fd023c0498c1ebabf0a41847500398ccc4ddf96f36e1ecffe73b76db03653c6.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "a014047574da6df3e8d34f9044dc1b1aa38b1e400371b713fc501c4ac0bc7442",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1701,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
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      "sentences": [
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        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
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        "Ich schrieb die Nummer auf den Umschlag.",
        "Lies sie genau... und prüfe die letzten beiden Ziffern.",
        "Ruf an, wenn du Zeit hast."
      ],
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
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        3.2
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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        "target_raw": 1.6938691139221191,
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    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "a6425f5cf41c54f7f976b2d2851bb97310292920b15223703c71ac38d842acb2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "seconds_generated": 10.16,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "a6c13408c3d3e109eb753d0b5473a281a431c8ca6ed5c7214cdcc84708f62dc0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
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      "cfg": 1.25,
      "ended": true,
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.32894477248191833,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/a6e0f3634d9206eb90b442c721bd7cef20fd5e0c9222139e016ffb41758d4ece.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "heldout-nl-4",
      "language": "nl",
      "sentences": [
        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "key": "a8bd001b1fcafd2f49b65d73e6ed12567e4c9664909a4d08700c9febfd977540",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/a8bd001b1fcafd2f49b65d73e6ed12567e4c9664909a4d08700c9febfd977540.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "key": "a8f3b619eeb103364df9d8a979177dd64f53eabf2a2c0375082cc679516192b2",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "seconds_generated": 10.24,
      "mp3_sha256": "7cc81a888f970fbc828200e7a9097b312849fb6df7e8c317d5a4f412e532f319",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/a8f3b619eeb103364df9d8a979177dd64f53eabf2a2c0375082cc679516192b2.mp3"
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        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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        3.2,
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "metrics": {
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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        "hypothesis": "J'ai trouvé la petite boîte, elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/aabf6149ea7865de1ee06505fc246fd9ed3409c654983041e89275f503a496ab.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "aac942486b985aa598e726bcc697100ef6276f2525fd51ecc5c6400aeff7c104",
      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "0c40998b1bf19d9e5921a292c9f9ccd6220f0179bfe7cac444fd2fedc5e02d1b",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.2460240125656128,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/aac942486b985aa598e726bcc697100ef6276f2525fd51ecc5c6400aeff7c104.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "aad261966c498eabf75152d9aa1e40e64919573a0659ba25a58b8d9688754f26",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 2.5,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "480364bfe7da26c24282f839a888a05dfe2cdce3d5df0304040f60ea43ecb11f",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/aad261966c498eabf75152d9aa1e40e64919573a0659ba25a58b8d9688754f26.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "0c3b6e40e3eb1e4933d3a6b9c0dbd100c544635f4ea7e7b7f1c82a9fb94028fe",
      "generation_seconds_batch": 21.232956737978384,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.817707061767578,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ab5b4183527444454a2cc2e2e878c6c5d64bfe43437d844b8954b14c3ff33608.mp3"
    },
    {
      "id": "heldout-en-0",
      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-0",
      "key": "ab7a94299f968552a7b966fa3391724b652d8e20483888a7767196f29a7f4a69",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Your message arrived after I had left.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Let me know when we can talk.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Your message arrived after I had left.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Let me know when we can talk.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "5ff86953c380feb0c94c2f4cd77702ffcbcf63d12ae142a2b399d207764fc9f4",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.3170620799064636,
        "target_z": 0.06347654215723737,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ab7a94299f968552a7b966fa3391724b652d8e20483888a7767196f29a7f4a69.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "ab90b1cef65017788386e5e9f7b7f6811f2984ba3366adac384170c9b6f66f2c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
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      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "65acb5dec3c62bd49f5a405bca81ace920e29ad5c7282749ab818b22d92c7646",
      "generation_seconds_batch": 15.673256810056046,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.3347480297088623,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ab90b1cef65017788386e5e9f7b7f6811f2984ba3366adac384170c9b6f66f2c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "ac26723b756d9f919f0bab4e372f58cfde138be2164745d258b9b21d52349bb0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "69934b7f5711928bd87f24b1b9d459a9d1fd9c8bc6adeb00032e03e2ff02a308",
      "generation_seconds_batch": 15.77122448303271,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.699408531188965,
        "target_z": 4.46875026520935,
        "ce": 5.327630043029785,
        "genuineness": 4.545003414154053,
        "identity": 0.8354905843734741,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten gemeinsam hineinschauen.",
        "wer": 0.1875,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ac26723b756d9f919f0bab4e372f58cfde138be2164745d258b9b21d52349bb0.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "acb96650947d0d6d1cbde83b8227941879c221fdd029bbd149d9887f8f9f679f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1702,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.8459675312042236,
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        "genuineness": 4.934117794036865,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/acb96650947d0d6d1cbde83b8227941879c221fdd029bbd149d9887f8f9f679f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "ad05a4f97f9bd443040bded7029fcd46dc848fd27d6911e7e5e21b9860b66853",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "0839963807cffb84ce88065c566339ad5b8320377b519292825cefecbbe8ee39",
      "generation_seconds_batch": 16.184033751953393,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.6178200244903564,
        "target_z": 2.4687500447756046,
        "ce": 6.221180438995361,
        "genuineness": 4.557555198669434,
        "identity": 0.7287842631340027,
        "hypothesis": "Ja, ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.05555555555555555,
        "duration_error_s": 0.040000000000000924,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ad05a4f97f9bd443040bded7029fcd46dc848fd27d6911e7e5e21b9860b66853.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "ad6e1903f4cdfa6ff21361e4c10ead18981320731d1d1f9f058448f5f94a35d3",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "99b42c4f45a4d3a575352e0bb98e76d6586746f0a81f5169c67120912baec4b5",
      "generation_seconds_batch": 15.776844699052162,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.8628673553466797,
        "target_z": 2.9218749741679204,
        "ce": 5.748591423034668,
        "genuineness": 4.507347106933594,
        "identity": 0.6266951560974121,
        "hypothesis": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ad6e1903f4cdfa6ff21361e4c10ead18981320731d1d1f9f058448f5f94a35d3.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "ad85baba46eec6fe83eb961e37618bf4a45c105e70e9320ba2856b086fd17506",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "2d634b1b00af7234738d19071d2618279213742c177d15a1ef57308ad9e382fb",
      "generation_seconds_batch": 22.86662848200649,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.445911169052124,
        "target_z": 4.000000110216873,
        "ce": 5.601652145385742,
        "genuineness": 4.65797233581543,
        "identity": 0.7419528365135193,
        "hypothesis": "Die Tür ist noch offen. Ich hab deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.05263157894736842,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ad85baba46eec6fe83eb961e37618bf4a45c105e70e9320ba2856b086fd17506.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "ad871f2cfa9da3dfe4b83b9552a6cdeb881a8068d883432c29c5796c95438ee0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 3.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "03c8b0045cae72cd1b6084c739f6d5db97e711971a68c5ca7c2304c8ec47d7fd",
      "generation_seconds_batch": 23.13824164296966,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.088104248046875,
        "target_z": 5.187500061996991,
        "ce": 5.95112943649292,
        "genuineness": 4.582659721374512,
        "identity": 0.49224263429641724,
        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ad871f2cfa9da3dfe4b83b9552a6cdeb881a8068d883432c29c5796c95438ee0.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "ad8f7d490de1daf89712cfcce5e28b5ffe110bc7536d802641f283b626475e9c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "a93f966aa1dba9e7efe572346d05436542ba3f7a5278fb11fb7b80d40bf74f5b",
      "generation_seconds_batch": 15.033244661986828,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.2600131034851074,
        "target_z": 3.6562499965557227,
        "ce": 5.871703147888184,
        "genuineness": 4.532451152801514,
        "identity": 0.4855393171310425,
        "hypothesis": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ad8f7d490de1daf89712cfcce5e28b5ffe110bc7536d802641f283b626475e9c.mp3"
    },
    {
      "id": "heldout-nl-0",
      "language": "nl",
      "sentences": [
        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-0",
      "key": "adcc0121d6c11de6953f8243f84ad890832f75283c96342c1db246fddc443438",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je bericht kwam nadat ik vertrokken was.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ik las het twee keer... en legde mijn telefoon weg.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Zeg maar wanneer we kunnen praten.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je bericht kwam nadat ik vertrokken was.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ik las het twee keer... en legde mijn telefoon weg.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Zeg maar wanneer we kunnen praten.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "ff243c4f6d2cb5c9682d9e6adcc607bab14e41e45c8d539bf891bc81261946f0",
      "generation_seconds_batch": 16.236490941955708,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.4475075602531433,
        "target_z": 0.3046874905282375,
        "ce": 6.125868320465088,
        "genuineness": 4.457139015197754,
        "identity": 0.6407958269119263,
        "hypothesis": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/adcc0121d6c11de6953f8243f84ad890832f75283c96342c1db246fddc443438.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "adea40ee9b5e78082bbf5879ad977ac3a7a3842331052d89c64e7df677ca0be5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "baab815afc062b8f653cafe2d438d364ea75f6f205c66707816d5bcb965ffba3",
      "generation_seconds_batch": 20.81701773207169,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.1895031929016113,
        "target_z": 5.375000123993981,
        "ce": 5.7247633934021,
        "genuineness": 4.883909225463867,
        "identity": 0.7108764052391052,
        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/adea40ee9b5e78082bbf5879ad977ac3a7a3842331052d89c64e7df677ca0be5.mp3"
    },
    {
      "id": "heldout-en-2",
      "language": "en",
      "sentences": [
        "The road turns left behind the bridge.",
        "Keep going... until you reach the small wooden gate.",
        "I will meet you on the other side."
      ],
      "text": "The road turns left behind the bridge. Keep going... until you reach the small wooden gate. I will meet you on the other side.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-2",
      "key": "ae3130a5db36c2790a31e23135fde257111c56fa9c5b8061c1f3e51a8cb61258",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] The road turns left behind the bridge.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Keep going... until you reach the small wooden gate.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] I will meet you on the other side.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] The road turns left behind the bridge.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Keep going... until you reach the small wooden gate.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] I will meet you on the other side.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
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        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
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        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
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      ],
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        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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        "Je bericht kwam nadat ik vertrokken was.",
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "b0ddc5af38b21e906d2de79b61aeac395b5484599059cf41e1f81e2db312d3b2",
      "bucket": "emo_Fatigue_Exhaustion",
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      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "4e72ee64bcfc350496cdea899243e64b39041c0f9edc73a7a0971b3a52022318",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.5304102897644043,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b0ddc5af38b21e906d2de79b61aeac395b5484599059cf41e1f81e2db312d3b2.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "b2a44073f3775456cb9ba727ef22d72c90a562177f1bd1a7a484bc5f903c0082",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 2.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "1faa63d8364a016e305e31e6fe6ee5c56b1565ee02b3455506476fc35238eb27",
      "generation_seconds_batch": 24.1766748779919,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b2a44073f3775456cb9ba727ef22d72c90a562177f1bd1a7a484bc5f903c0082.mp3"
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    {
      "id": "heldout-fr-0",
      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Natural clear speech.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "seed": 1702,
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      "cfg": 4.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.2600131034851074,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b2e1e5af44e1f48e3f49db8512887bd5685ed95620f6729c4f0caaf18d9c2fb8.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "824a90879465ec7ef8a74433cde29fbfbd49d5c79be568bbb723afda099a328c",
      "generation_seconds_batch": 15.374547465937212,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.5473101139068604,
        "target_z": 4.187500172213864,
        "ce": 5.1628193855285645,
        "genuineness": 4.469690799713135,
        "identity": 0.626903235912323,
        "hypothesis": "La porte est encore ouverte, j'ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b35cf61bb34f80d1521a32ea97c10becf2b97fb6fffc77e927215b746ae4d3f0.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "b37ff2683e26ed1468f499d5dd4d06f4ee6d28aee899857351f973b96c66e36e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "0b6f08b953ffa6539a7a38cda877fafdc4cc6902404551b3eb04878f14ca7c2d",
      "generation_seconds_batch": 16.15437506500166,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.9558162689208984,
        "target_z": 3.0937498105647503,
        "ce": 5.752562999725342,
        "genuineness": 4.519899368286133,
        "identity": 0.6550965905189514,
        "hypothesis": "La puerta sigue abierta. He Nelos. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
        "wer": 0.13333333333333333,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b37ff2683e26ed1468f499d5dd4d06f4ee6d28aee899857351f973b96c66e36e.mp3"
    },
    {
      "id": "heldout-de-1",
      "language": "de",
      "sentences": [
        "Die Schlüssel liegen auf dem Küchentisch.",
        "Ich suchte in der Schublade... dann neben dem Fenster.",
        "Nimm sie mit, wenn du gehst."
      ],
      "text": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade... dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-1",
      "key": "b429ad869b4f073af736e4e6510807542fc4f5324b0eb7f096c719d9002f4f71",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Die Schlüssel liegen auf dem Küchentisch.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Ich suchte in der Schublade... dann neben dem Fenster.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Nimm sie mit, wenn du gehst.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "80ab0f5789c0db395b3d7e060cb428c2bb9661dce9d501d7383339bb650265c1",
      "generation_seconds_batch": 14.329132333979942,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.3226073384284973,
        "target_z": 0.07373045868625235,
        "ce": 6.229123115539551,
        "genuineness": 4.356721878051758,
        "identity": 0.5972476005554199,
        "hypothesis": "Die Schlüssel liegen auf dem Küchentisch. Ich suchte in der Schublade dann neben dem Fenster. Nimm sie mit, wenn du gehst.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b429ad869b4f073af736e4e6510807542fc4f5324b0eb7f096c719d9002f4f71.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "b4a3c4645749c347b7b73d2819a0a41711c5a9343e52ccb25d45676ce58e3499",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "72761f95c8ca3629c996e743ed6a5e866fdac7cf92c705b09867527ccc03381c",
      "generation_seconds_batch": 15.7739575849846,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.071204423904419,
        "target_z": 5.156250051664159,
        "ce": 5.283945083618164,
        "genuineness": 4.607763767242432,
        "identity": 0.3726446032524109,
        "hypothesis": "Non, j'ai troué la petite boîte. Elle était près de... près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.21052631578947367,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b4a3c4645749c347b7b73d2819a0a41711c5a9343e52ccb25d45676ce58e3499.mp3"
    },
    {
      "id": "heldout-nl-3",
      "language": "nl",
      "sentences": [
        "Iemand heeft het kleine blauwe stoeltje verplaatst.",
        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-3",
      "key": "b4b85ba27dcbf75649ff22146f976a9eae2db1eca71aaebb7ea54b39815e46d2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We zetten het na de lunch terug.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Natural clear speech.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Natural clear speech.) [3.2 seconds duration] We zetten het na de lunch terug.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "7328562addef8ab417ad24084bccdffc49867b20fe4ccaabe833e2161312aad5",
      "generation_seconds_batch": 21.224961521918885,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.217763662338257,
        "target_z": 3.5781251911573886,
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        "wer": 0.09523809523809523,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b4b85ba27dcbf75649ff22146f976a9eae2db1eca71aaebb7ea54b39815e46d2.mp3"
    },
    {
      "id": "heldout-fr-0",
      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-0",
      "key": "b4e668330307da1ea83ac3b8846792a1cfba3054c14a9698b5535143748a131a",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Natural clear speech.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "8183d8c370f278290587494138a53bdd0836e86e52b022e89f3f9f631f84ba70",
      "generation_seconds_batch": 21.261358318966813,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.155703544616699,
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        "hypothesis": "Dans mes sage est arrivé après mon départ. Je l'ai relue et puis... J'ai rangé mon téléphone. Dis-moi quand nous pouvons parler.",
        "wer": 0.2857142857142857,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b4e668330307da1ea83ac3b8846792a1cfba3054c14a9698b5535143748a131a.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "b51da38b7816cad1e70fdf3a55232364f6377f98c66c6d6bd8b3b58c820a728d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 2.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "c4c75eac33df95b9fd7002e75b2b2ccfacba17696fafbc80a3b13591803e0ee8",
      "generation_seconds_batch": 16.097745296079665,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.6347198486328125,
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        "wer": 0.05555555555555555,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b51da38b7816cad1e70fdf3a55232364f6377f98c66c6d6bd8b3b58c820a728d.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "b52fa39044e0c536af64c2dafcabdf198097dd97b4239080804c043cc2644fd0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "d3d664045c9bf0cf09ab3f68a8da4761f663c91930d65b3e33f475b3607edde5",
      "generation_seconds_batch": 22.848197911982425,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.338973045349121,
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        "hypothesis": "La porte est encore ouverte. J'ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b52fa39044e0c536af64c2dafcabdf198097dd97b4239080804c043cc2644fd0.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "b5dedf41c475e6c840dc55ff6b6d41222221ca0db48263e78afbaea4451c2122",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "b19326cab0fbdad355febe67739f2d2366b8a04d9ca152b25a9c5c5497a5e458",
      "generation_seconds_batch": 20.606988786021248,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.0572152137756348,
        "target_z": 3.281249872561741,
        "ce": 5.035736560821533,
        "genuineness": 4.293961524963379,
        "identity": 0.6750763654708862,
        "hypothesis": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuando estás lista.",
        "wer": 0.13333333333333333,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b5dedf41c475e6c840dc55ff6b6d41222221ca0db48263e78afbaea4451c2122.mp3"
    },
    {
      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-2",
      "key": "b69da2d898af2281ddafc3455ecbb614172f63ac0bc7da8663bed3b835104338",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Natural clear speech.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Natural clear speech.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "e3af6c0c65f00bc6d868dcbbfb723c2b7512a5eb25a40e56123f7a380e31ee41",
      "generation_seconds_batch": 15.603769718902186,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.341601610183716,
        "target_z": 5.656250216989468,
        "ce": 5.506340026855469,
        "genuineness": 4.557555198669434,
        "identity": 0.8401914834976196,
        "hypothesis": "Oh la route tourne à gauche après bon continue jusqu'à la petite barrière en bois Je t'attendrai de l'autre côté",
        "wer": 0.15,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b69da2d898af2281ddafc3455ecbb614172f63ac0bc7da8663bed3b835104338.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "b6d49cbd79db850c5be26dd2f0e491ab899267833ac884c94d8d2a8485e8769e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
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      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "b7404c5992af0ee0b4149ccac934c40d5b39ebbda0dc06fc85491897c5b856c1",
      "generation_seconds_batch": 20.277096166973934,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.0065157413482666,
        "target_z": 3.1874998415632456,
        "ce": 5.101263999938965,
        "genuineness": 4.582659721374512,
        "identity": 0.7271410822868347,
        "hypothesis": "La porte est encore ouverte, j'ai posé ton manteau sur la chaise, dis-moi quand tu es prêt.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b6d49cbd79db850c5be26dd2f0e491ab899267833ac884c94d8d2a8485e8769e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "b6eb4c660e5ce5bdabb1f258b3eb930c3bfaacbd3d67750738ab05788c9e0319",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 2.5,
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      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "25d281dffa859b12cdeeff37f87bd38c4396da850a745a6b9a3f255ea739f2cd",
      "generation_seconds_batch": 20.77002086106222,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
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        3.2,
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "metrics": {
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    {
      "id": "heldout-de-2",
      "language": "de",
      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-2",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b87d547302e87b863910be85e859dc8a381bc131451c38b0aada3eb4841ba221.mp3"
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    {
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      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.05,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b8d330d7303d910bdeb80884d277effd760f7b21749c0546c90cdcc6570b23fa.mp3"
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      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b906ebf5bd8aa859f52a675e528eddfd022e3a7f19071ef305bf3ceed641afa6.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b94af1d698611fad76c45f600d3a65bdeae30cdf9e1b8b4907ccac9ca163138b.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "b99857d25d706738b8afce90e462dedc680fed33f2fbbc4b5b7f5e8a39d9f82c",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "36b8ea3c0d0972f9e94fcc09a58134362d605640fc4c9b7fff6e0f1b659a92ce",
      "generation_seconds_batch": 21.10306962998584,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.6460804343223572,
        "target_z": 0.6718750017221387,
        "ce": 6.133810997009277,
        "genuineness": 4.557555198669434,
        "identity": 0.6625277996063232,
        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/b99857d25d706738b8afce90e462dedc680fed33f2fbbc4b5b7f5e8a39d9f82c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "ba21e2c2af2954b7989fca5f4160e5f244b56bf78ae7b1f022782f908a7d37da",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "3f81a0d4ccd9307cd096f955cd3aa08a70ef5f62aa6ddfda47622014ba28e48e",
      "generation_seconds_batch": 21.411917366087437,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.5552439093589783,
        "target_z": 0.5039062512916039,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ba21e2c2af2954b7989fca5f4160e5f244b56bf78ae7b1f022782f908a7d37da.mp3"
    },
    {
      "id": "heldout-fr-1",
      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-1",
      "key": "ba70e7e208a6b15a9236ccd5a69e0e5fd403df2a937202d690effa2cdc45d9f2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Prends-les quand tu partiras.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "de748f83f45c01df28bf2a33988bf1c2dc2c6e829a258c7099877009c6cf8125",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "Les clés sont sur la table de la cuisine. J'ai regardé dans le tiroir, puis près de la fenêtre. Prends les, quand tu partiras.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ba70e7e208a6b15a9236ccd5a69e0e5fd403df2a937202d690effa2cdc45d9f2.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "bad5cc626c998aaf684697c18c788a80fe011f0609c4b57d7957048a58093d83",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "4c2929bf4702a64565da63ed10a741072c0bda15f40232d236589025983d840a",
      "generation_seconds_batch": 22.10846312204376,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.1839640140533447,
        "target_z": 3.5156251704917247,
        "ce": 5.959072113037109,
        "genuineness": 4.400654315948486,
        "identity": 0.4847901463508606,
        "hypothesis": "Ik heb het kleine doosje gevonden en het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.05555555555555555,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bad5cc626c998aaf684697c18c788a80fe011f0609c4b57d7957048a58093d83.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
      "key": "bb6a2aaad533842d015575ca38ee957ba51fd2a1a91d9493b2ef7601d13d3667",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] He encontrado la cajita.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "0608a25b4f30e66d69d2cf0c4edd93b24f778a1c1d69431faccfeb8393cbe32f",
      "generation_seconds_batch": 22.757690811995417,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.124814510345459,
        "target_z": 3.406249913893068,
        "ce": 5.216432571411133,
        "genuineness": 4.607763767242432,
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        "hypothesis": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bb6a2aaad533842d015575ca38ee957ba51fd2a1a91d9493b2ef7601d13d3667.mp3"
    },
    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-1",
      "key": "bb74dc95f6eeb6831d2f242420e361638d272dbf86480d4aec0f402c16cae72c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "731388f6ee49931b02e0dd183c44e6ea9a54fba30e3413d1b409e0c41d49b819",
      "generation_seconds_batch": 15.48974129196722,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.155703544616699,
        "target_z": 5.312500103328318,
        "ce": 5.546053409576416,
        "genuineness": 4.086852550506592,
        "identity": 0.3461832106113434,
        "hypothesis": "De sleutels liggen op de keukentafel en keken in de la. En daarna, naast het raam, neem ze mee als je weggaat.",
        "wer": 0.09090909090909091,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bb74dc95f6eeb6831d2f242420e361638d272dbf86480d4aec0f402c16cae72c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "bba7734e18dfb131501edd2c0d46ba3fedffad289e5a930c39d740d28d0d81f0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "7edb89fe133470e7b0e57295522886ae43fbebbf309f4fa0d5909e24a02fed01",
      "generation_seconds_batch": 23.26229542598594,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.6516196727752686,
        "target_z": 2.531250065441268,
        "ce": 5.935244083404541,
        "genuineness": 4.432034492492676,
        "identity": 0.5083450078964233,
        "hypothesis": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bba7734e18dfb131501edd2c0d46ba3fedffad289e5a930c39d740d28d0d81f0.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "bbbdca3ac7b7073c99daf4037d361069f4f683aa82648fe059cf87d7ef79a024",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 3.0,
      "ended": true,
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      "seconds_generated": 10.24,
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      "metrics": {
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        "identity": 0.8411476612091064,
        "hypothesis": "La porte est encore ouverte j'ai posé ton manteau sur la chaise dis moi quand tu es prêt.",
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      "id": "heldout-nl-4",
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        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Natural clear speech.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Natural clear speech.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
      "seed": 1702,
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      "cfg": 4.0,
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      "seconds_generated": 10.16,
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "model_predictions_not_human_ratings": true
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bc819de01acf0befbcccc1738d000016ffb772db8c7873df57bd293674edd51d.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.4910714626312256,
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        "genuineness": 4.796044826507568,
        "identity": 0.39401981234550476,
        "hypothesis": "Die Tür ist noch offen. Ich hab deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.05263157894736842,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bccb3ff55aa03db639d104e59edd782e736030fe5f5c98ddc497d935469521a0.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bd6d9bb159983c5f83bee998c6787acfc0fcf688568369187279e6a3b139295b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "3dd3576bce9bdbda53a087c954d9be1aafd7702d428c93eaabab4b8a798dd614",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "heldout-nl-1",
      "language": "nl",
      "sentences": [
        "De sleutels liggen op de keukentafel.",
        "Ik keek in de la... en daarna naast het raam.",
        "Neem ze mee als je weggaat."
      ],
      "text": "De sleutels liggen op de keukentafel. Ik keek in de la... en daarna naast het raam. Neem ze mee als je weggaat.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De sleutels liggen op de keukentafel.\n(Natural clear speech.) [3.8 seconds duration] Ik keek in de la... en daarna naast het raam.\n(Natural clear speech.) [3.2 seconds duration] Neem ze mee als je weggaat.",
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      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1701,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
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      "mp3_sha256": "8c6fab493b1c68d15b798ef4eb7fa518b2692c65c9611e61d6ff597006bc16c4",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.319162607192993,
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        "hypothesis": "Ich hab die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0625,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bf4c71caea29c7c116db87a9a5b99153677c010d395d7eb2d5f8444cc27d1ed9.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "bf77ee81f01e4408d7c7537c904147295d30f9d96ad21d4f2d1469ef7a7188c5",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
      "scale": 1.0,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 23.1543828350259,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.14912013709545135,
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bf77ee81f01e4408d7c7537c904147295d30f9d96ad21d4f2d1469ef7a7188c5.mp3"
    },
    {
      "id": "heldout-en-0",
      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-0",
      "key": "bfebdba28a796105fac0d982f2918df6750ab595ce1f4c7d1a105122c05e9e7e",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Your message arrived after I had left.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Let me know when we can talk.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Your message arrived after I had left.\n(Natural clear speech.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Natural clear speech.) [3.2 seconds duration] Let me know when we can talk.",
      "seed": 1701,
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      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "66fef9f35d3f25c18bc2a1c9781a59ba866025dc926f00cfb7f45668047f578a",
      "generation_seconds_batch": 16.950407529016957,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.2262134552001953,
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        "ce": 6.0305562019348145,
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        "identity": 0.2876819372177124,
        "hypothesis": "Your message arrived after I had left. I read it twice before putting the phone away. Let me know when we can talk.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/bfebdba28a796105fac0d982f2918df6750ab595ce1f4c7d1a105122c05e9e7e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "c05a5e948479918565bdca4507a14a9f77b6cdbfd796f5fdb4a20931aae6d627",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
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      "seconds_generated": 10.24,
      "mp3_sha256": "2c0a5b1e6030edc4339e4760e94581f8761e7b472da4be617eec5d931946eb4c",
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      "original_audio_reused": false,
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        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
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        3.2,
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      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
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        3.2,
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        3.2
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
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        3.2,
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        3.2
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        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
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      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
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      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
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        3.2
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      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2
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      "language": "en",
      "sentences": [
        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
      ],
      "text": "Someone moved the little blue chair. It used to stand here... beside the tall bookshelf. We can put it back after lunch.",
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "heldout-en-3",
      "key": "c4245e751bf27e03f9180f13a52d549d8f664879af980ede43a9db8dd98f0f78",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Someone moved the little blue chair.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It used to stand here... beside the tall bookshelf.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can put it back after lunch.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Someone moved the little blue chair.\n(Natural clear speech.) [3.8 seconds duration] It used to stand here... beside the tall bookshelf.\n(Natural clear speech.) [3.2 seconds duration] We can put it back after lunch.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "a5757b2e9bab20ba821a4e494a95361bcd1ee59b4e58834916b3fd45b3e68f1e",
      "generation_seconds_batch": 24.348458276013844,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.288273572921753,
        "target_z": 1.8593750637191295,
        "ce": 6.046441555023193,
        "genuineness": 4.632867813110352,
        "identity": 0.4202972948551178,
        "hypothesis": "Someone moved a little blue chair. It used to stand here beside the tall bookshelf. Now we can put it back after lunch.",
        "wer": 0.09090909090909091,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c4245e751bf27e03f9180f13a52d549d8f664879af980ede43a9db8dd98f0f78.mp3"
    },
    {
      "id": "heldout-es-1",
      "language": "es",
      "sentences": [
        "Las llaves están en la mesa de la cocina.",
        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
      "text": "Las llaves están en la mesa de la cocina. Miré en el cajón... y luego junto a la ventana. Llévatelas cuando te vayas.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-1",
      "key": "c44be29978b5bc750293c866f28c48e82def17412228dbbd6d5db3edd75391e0",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Natural clear speech.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Natural clear speech.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "5abf5c2e20538da56d77640f220426bf60b617f2fa008eeec41f058e78cff7ee",
      "generation_seconds_batch": 15.75637153792195,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.1895031929016113,
        "target_z": 5.375000123993981,
        "ce": 5.403085231781006,
        "genuineness": 4.595211505889893,
        "identity": 0.7148109674453735,
        "hypothesis": "Las llaves están en la mesa de la cocina. Miren el cajón. Y luego, junto a la ventana, llévatelas cuando te vayas.",
        "wer": 0.08695652173913043,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c44be29978b5bc750293c866f28c48e82def17412228dbbd6d5db3edd75391e0.mp3"
    },
    {
      "id": "heldout-fr-3",
      "language": "fr",
      "sentences": [
        "Quelqu’un a déplacé la petite chaise bleue.",
        "Elle était ici... près de la grande bibliothèque.",
        "Nous la remettrons après le déjeuner."
      ],
      "text": "Quelqu’un a déplacé la petite chaise bleue. Elle était ici... près de la grande bibliothèque. Nous la remettrons après le déjeuner.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-3",
      "key": "c457b130aad194898b180204b6c33f2e4647326ba2323ed3d9587c69f6d9eb1b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Quelqu’un a déplacé la petite chaise bleue.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était ici... près de la grande bibliothèque.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous la remettrons après le déjeuner.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Quelqu’un a déplacé la petite chaise bleue.\n(Natural clear speech.) [3.8 seconds duration] Elle était ici... près de la grande bibliothèque.\n(Natural clear speech.) [3.2 seconds duration] Nous la remettrons après le déjeuner.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "57d7ee8ec390e2980819f887397723b6d8db0c64eb1dfc9bf6f085ef394fdc5f",
      "generation_seconds_batch": 16.469337180955335,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.9220166206359863,
        "target_z": 3.0312497898990864,
        "ce": 5.645336627960205,
        "genuineness": 4.7081804275512695,
        "identity": 0.8473564386367798,
        "hypothesis": "Quelqu'un a déplacé la petite chaise bleue. Elle était ici, près de la grande bibliothèque. Nous la remettrons après le déjeuner.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c457b130aad194898b180204b6c33f2e4647326ba2323ed3d9587c69f6d9eb1b.mp3"
    },
    {
      "id": "heldout-nl-3",
      "language": "nl",
      "sentences": [
        "Iemand heeft het kleine blauwe stoeltje verplaatst.",
        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-nl-3",
      "key": "c493619abd8899c9b3ce96f2a00a6bcdd900e874ef21436707b986365a8437ee",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] We zetten het na de lunch terug.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] We zetten het na de lunch terug.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "b33522133c7d9399bafba0127dd193c567ee6d66e7aa583d5ed6c32a5d8d8c81",
      "generation_seconds_batch": 14.036032180069014,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.7263545989990234,
        "target_z": 0.8203125508030897,
        "ce": 6.221180438995361,
        "genuineness": 4.507347106933594,
        "identity": 0.6288763880729675,
        "hypothesis": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier, naast de hoge boekenkast. We zetten het na de lunch terug.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c493619abd8899c9b3ce96f2a00a6bcdd900e874ef21436707b986365a8437ee.mp3"
    },
    {
      "id": "heldout-fr-0",
      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-0",
      "key": "c5d8e847089a97525c27178c6d367a538f79c8b6db952e41d4dc16b92783d1d2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Natural clear speech.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f0cf65a9dd79582bcb31d667e83892987fa360e862744198c8be4d0fcadb08c5",
      "generation_seconds_batch": 21.261358318966813,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.088104248046875,
        "target_z": 5.187500061996991,
        "ce": 5.498397350311279,
        "genuineness": 4.6705241203308105,
        "identity": 0.6477270126342773,
        "hypothesis": "Ton message est arrivé après mon départ. Je l'ai relu. Puis j'ai rangé mon téléphone. Dis-moi, quand nous pourrons parler ?",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c5d8e847089a97525c27178c6d367a538f79c8b6db952e41d4dc16b92783d1d2.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "c639f93bf5e42ecf75b1bb8ef8e83df9fc36b8d40cc9da0d3669a49a3aee1227",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f91a51cba4319326b7648f8a928b501ea922225e5373db90bb9a21466c1f57ee",
      "generation_seconds_batch": 23.325945831020363,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.20615702867507935,
        "target_z": -0.1416015679893169,
        "ce": 6.395919322967529,
        "genuineness": 4.519899368286133,
        "identity": 0.5996477007865906,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c639f93bf5e42ecf75b1bb8ef8e83df9fc36b8d40cc9da0d3669a49a3aee1227.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "c67ba2e9f2f743821e39acb56125ff919f34ea85c7314000e1d6bf52f0f8c34b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 2.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "949e776525db9500ea7da5ea3e48da2e0176de00997014f9501e6b1710121b5e",
      "generation_seconds_batch": 16.126924780081026,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.192413806915283,
        "target_z": 3.5312499552243954,
        "ce": 5.355429172515869,
        "genuineness": 4.3504462242126465,
        "identity": 0.5524085760116577,
        "hypothesis": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c67ba2e9f2f743821e39acb56125ff919f34ea85c7314000e1d6bf52f0f8c34b.mp3"
    },
    {
      "id": "heldout-en-0",
      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-en-0",
      "key": "c6dc6a35f7de8973661b2e1c0d3cdc204dbc2bdcd28a062bb032090cefef9961",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Your message arrived after I had left.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Let me know when we can talk.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Your message arrived after I had left.\n(Natural clear speech.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Natural clear speech.) [3.2 seconds duration] Let me know when we can talk.",
      "seed": 1701,
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    {
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
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        3.2,
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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        3.2,
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        3.2
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      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "language": "en",
      "sentences": [
        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
      ],
      "text": "Someone moved the little blue chair. It used to stand here... beside the tall bookshelf. We can put it back after lunch.",
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      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
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      "language": "en",
      "sentences": [
        "The road turns left behind the bridge.",
        "Keep going... until you reach the small wooden gate.",
        "I will meet you on the other side."
      ],
      "text": "The road turns left behind the bridge. Keep going... until you reach the small wooden gate. I will meet you on the other side.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The road turns left behind the bridge.\n(Natural clear speech.) [3.8 seconds duration] Keep going... until you reach the small wooden gate.\n(Natural clear speech.) [3.2 seconds duration] I will meet you on the other side.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/c844bc6c07c09babc1ad79117059a87cba3afbd121b0b0fed8b57226891b9ff8.mp3"
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      "id": "heldout-en-3",
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      "sentences": [
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        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
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        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
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        "He dejado tu abrigo sobre la silla.",
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      "sentences": [
        "Escribí el número en el sobre.",
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
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      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        3.2,
        3.8,
        3.2
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "id": "emo_Fatigue_Exhaustion-en-0",
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        "Tell me when you are ready."
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
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        3.8,
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cc53b5047f388e7715b582d248b26554c27d617212e71c3c219e6b0f8c327407.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
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      "bucket": "emo_Fatigue_Exhaustion",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
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        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
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      "sentences": [
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        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cdf2cc019a34fc3648f4b5e3e03184ac68a42b1bc24c9f4d745bd1c53bb3889e.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
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      "max_frames": 188,
      "reference": true,
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      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "5075d9153313c3e49157968d8f1b95c9297030fa3c674466e6c77fdb65649c17",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.2740023136138916,
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        "wer": 0.0,
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    {
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        "Iemand heeft het kleine blauwe stoeltje verplaatst.",
        "Het stond hier... naast de hoge boekenkast.",
        "We zetten het na de lunch terug."
      ],
      "text": "Iemand heeft het kleine blauwe stoeltje verplaatst. Het stond hier... naast de hoge boekenkast. We zetten het na de lunch terug.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Iemand heeft het kleine blauwe stoeltje verplaatst.\n(Natural clear speech.) [3.8 seconds duration] Het stond hier... naast de hoge boekenkast.\n(Natural clear speech.) [3.2 seconds duration] We zetten het na de lunch terug.",
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      "cfg": 5.0,
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      "seconds_generated": 10.16,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.9022061824798584,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cf0573746883459d299959bdffae3ce6bd55650c0cc82167efa2eb707d570596.mp3"
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    {
      "id": "heldout-de-3",
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      "sentences": [
        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-3",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "edd9f3e1422c700b3fa64c12d97daa9b8c9c94218e060ab6706fc925789501c1",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.68307638168335,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cf68e6506caaaad7e7371e72de9d5417fef89211300487ff83acd2484eaab510.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "f86242250d1cf0281a0750823584150f23f4e8de474d6bc9faca8451f37bb301",
      "generation_seconds_batch": 22.427797049982473,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.319066047668457,
        "identity": 0.5402193069458008,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cf9a3919943276cc41d66bf7a73b5e53b2d39a10fb5e58b3f36935fce77ee575.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
      "scale": 0.75,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.020504951477051,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/cfc57038c6a5edbd7a57fbe17942a483297d81a3319806aa64e790aea83c2abc.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "ce": 6.205295085906982,
        "genuineness": 4.7081804275512695,
        "identity": 0.4829704165458679,
        "hypothesis": "I found the little box. It was beside the old window. We can look inside together.",
        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d060bd93d5ea7f0217288112a4c5a70276ff1bbccd2fea6ad78b83adad1755c6.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
      "key": "d0b5bbd04be9db9429228f92af321e71908f1ef4f06ae68b84451d3c0e60a29f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] De deur staat nog open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "hypothesis": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d0b5bbd04be9db9429228f92af321e71908f1ef4f06ae68b84451d3c0e60a29f.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "d0c6fca8c8a206d5bced041406713fa525e405eef7ebe272f7c5bd449d261a5b",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "seconds_generated": 10.24,
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    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
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      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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        3.2
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      "seconds": 10.2,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d191044502524a917e774ca61c269e360c80b94cb013cb59097ea6564ba442b0.mp3"
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    {
      "id": "heldout-es-4",
      "language": "es",
      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Escribí el número en el sobre.\n(Natural clear speech.) [3.8 seconds duration] Léelo bien... y comprueba las dos últimas cifras.\n(Natural clear speech.) [3.2 seconds duration] Llámame cuando tengas un momento.",
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      "metrics": {
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      "id": "heldout-en-4",
      "language": "en",
      "sentences": [
        "I wrote the number on the envelope.",
        "Read it carefully... and check the last two digits.",
        "Call me when you have a moment."
      ],
      "text": "I wrote the number on the envelope. Read it carefully... and check the last two digits. Call me when you have a moment.",
      "sentence_seconds": [
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I wrote the number on the envelope.\n(Natural clear speech.) [3.8 seconds duration] Read it carefully... and check the last two digits.\n(Natural clear speech.) [3.2 seconds duration] Call me when you have a moment.",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
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        3.2,
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        3.2
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      "metrics": {
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        "Las llaves están en la mesa de la cocina.",
        "Miré en el cajón... y luego junto a la ventana.",
        "Llévatelas cuando te vayas."
      ],
      "text": "Las llaves están en la mesa de la cocina. Miré en el cajón... y luego junto a la ventana. Llévatelas cuando te vayas.",
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Las llaves están en la mesa de la cocina.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Miré en el cajón... y luego junto a la ventana.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Llévatelas cuando te vayas.",
      "seed": 1701,
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      "seconds_generated": 10.24,
      "mp3_sha256": "aeb1c7f9ced9d4c83d2f325654ef0357d6d6a66cfd54b5f62f0423d5b6106c9f",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
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      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2,
        3.8,
        3.2
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      "id": "heldout-en-1",
      "language": "en",
      "sentences": [
        "The keys are on the kitchen table.",
        "I checked the drawer... then looked beside the window.",
        "Take them with you when you leave."
      ],
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d2646fbed98d753f04c3fc1266354a2a80110276d6b69fb583678681056bd7b9.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "d275e9d1835b47a383811dfb89363a506b63cd05d917ac7c2d602797fab53e30",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.2079994678497314,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d275e9d1835b47a383811dfb89363a506b63cd05d917ac7c2d602797fab53e30.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "d2b92698c7d868a32a04854577fe977bb45246d46f4565cdbea9c3cd8af36422",
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d2b92698c7d868a32a04854577fe977bb45246d46f4565cdbea9c3cd8af36422.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "d2d7694c99f552ced17533b0de15bcbb70c40199a6423db178a167eb5a93388d",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "wording",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "55d8fa3a48172a07032d689be5f9698c94480f08edf10284ebef1c6d00c679ff",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "ce": 6.300607204437256,
        "genuineness": 4.293961524963379,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d2d7694c99f552ced17533b0de15bcbb70c40199a6423db178a167eb5a93388d.mp3"
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    {
      "id": "heldout-es-4",
      "language": "es",
      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-4",
      "key": "d30beea8f086046fbaaf8e9ef04be6a207ae9d2eaf11cc94e96b5c4338d87f3b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Escribí el número en el sobre.\n(Natural clear speech.) [3.8 seconds duration] Léelo bien... y comprueba las dos últimas cifras.\n(Natural clear speech.) [3.2 seconds duration] Llámame cuando tengas un momento.",
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      "scale": 0.0,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.7276687622070312,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d30beea8f086046fbaaf8e9ef04be6a207ae9d2eaf11cc94e96b5c4338d87f3b.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1702,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d3f4ae6474d9d64d850f2150f1c6acae4f53937ddf9563a69e7e772873f3c494.mp3"
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    {
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      "language": "fr",
      "sentences": [
        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
      "sentence_seconds": [
        3.2,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-4",
      "key": "d3fab0ead1fc9dcf899f59bddb0c9d4b54373ba1829b6dc49f77fc4027ce1740",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] J’ai écrit le numéro sur l’enveloppe.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Lis-le bien... et vérifie les deux derniers chiffres.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Appelle-moi quand tu auras un moment.",
      "seed": 1701,
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      "cfg": 1.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "f66cad82e316c866a59670e3590eb33428aada54eec8ff4aa5a7ace22131a53a",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d3fab0ead1fc9dcf899f59bddb0c9d4b54373ba1829b6dc49f77fc4027ce1740.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "d43f68ee3e3f14fb0113d2304e798b9018e2106d1ed253d3620b6431cd9b57a2",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "56cd8fa142ba3814e19b478ada018558831e768c5f5f11613201f135dfc50dad",
      "generation_seconds_batch": 22.021634074044414,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.3262982368469238,
        "target_z": 1.9296876971848738,
        "ce": 5.375286102294922,
        "genuineness": 4.482243061065674,
        "identity": 0.5630289316177368,
        "hypothesis": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d43f68ee3e3f14fb0113d2304e798b9018e2106d1ed253d3620b6431cd9b57a2.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "d44edfa78201219a3ffaf6ebd3bc1d65f17c4f1587e31bba2b73d73cba08be09",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
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      "seconds_generated": 10.24,
      "mp3_sha256": "d2298818e7c4f8b2f395b72298e759294067c5eb458c3e77fcee178928975522",
      "generation_seconds_batch": 20.25352051097434,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.823528528213501,
        "target_z": 1.0,
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        "genuineness": 4.6203155517578125,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d44edfa78201219a3ffaf6ebd3bc1d65f17c4f1587e31bba2b73d73cba08be09.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "d4afb3ee54bacc2124a166155c9b744d492af1bc01a773e46aed86067d03f6ae",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
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      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "375e2a0e01f94f4b3cb1284d61068d76a4d1a3feda5ad0142d1ac84310791737",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.2460240125656128,
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        "ce": 5.863759994506836,
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        "identity": 0.4406578540802002,
        "hypothesis": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d4afb3ee54bacc2124a166155c9b744d492af1bc01a773e46aed86067d03f6ae.mp3"
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    {
      "id": "heldout-es-3",
      "language": "es",
      "sentences": [
        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-3",
      "key": "d4c1c869f1fef24d0a80bfd1d839c750218442050acff6bbabfd395c9ab58162",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] La colocaremos después de comer.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Natural clear speech.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Natural clear speech.) [3.2 seconds duration] La colocaremos después de comer.",
      "seed": 1701,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        3.2,
        3.8,
        3.2
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        "Je bericht kwam nadat ik vertrokken was.",
        "Ik las het twee keer... en legde mijn telefoon weg.",
        "Zeg maar wanneer we kunnen praten."
      ],
      "text": "Je bericht kwam nadat ik vertrokken was. Ik las het twee keer... en legde mijn telefoon weg. Zeg maar wanneer we kunnen praten.",
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        3.2,
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        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Natural clear speech.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Natural clear speech.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2
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      "seconds": 10.2,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "seconds": 10.2,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/d960406fa61d54af3a0f9bf67d9c113d997d1a1b65780d05f0503685de5584d2.mp3"
    },
    {
      "id": "heldout-de-2",
      "language": "de",
      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-de-2",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "frames": 128,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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        3.2,
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        3.2
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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    {
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      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
      "sentence_seconds": [
        3.2,
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Les clés sont sur la table de la cuisine.\n(Natural clear speech.) [3.8 seconds duration] J’ai regardé dans le tiroir... puis près de la fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Prends-les quand tu partiras.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/db1149cb19a1fc452e3dacbb6d0e5020ec400ce2f35e040ae9836d0ccde7758f.mp3"
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    {
      "id": "heldout-en-0",
      "language": "en",
      "sentences": [
        "Your message arrived after I had left.",
        "I read it twice... before putting the phone away.",
        "Let me know when we can talk."
      ],
      "text": "Your message arrived after I had left. I read it twice... before putting the phone away. Let me know when we can talk.",
      "sentence_seconds": [
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        3.2
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      "seconds": 10.2,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Your message arrived after I had left.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] I read it twice... before putting the phone away.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Let me know when we can talk.",
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      "id": "heldout-nl-4",
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        "Ik schreef het nummer op de envelop.",
        "Lees het goed... en controleer de laatste twee cijfers.",
        "Bel me wanneer je even tijd hebt."
      ],
      "text": "Ik schreef het nummer op de envelop. Lees het goed... en controleer de laatste twee cijfers. Bel me wanneer je even tijd hebt.",
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        3.2,
        3.8,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik schreef het nummer op de envelop.\n(Natural clear speech.) [3.8 seconds duration] Lees het goed... en controleer de laatste twee cijfers.\n(Natural clear speech.) [3.2 seconds duration] Bel me wanneer je even tijd hebt.",
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      "seconds_generated": 10.16,
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    {
      "id": "heldout-de-2",
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      "sentences": [
        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
      "text": "Die Straße führt hinter der Brücke nach links. Geh weiter... bis zu dem kleinen Holztor. Ich warte auf der anderen Seite.",
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        3.2,
        3.8,
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      "task_id": "heldout-de-2",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Straße führt hinter der Brücke nach links.\n(Natural clear speech.) [3.8 seconds duration] Geh weiter... bis zu dem kleinen Holztor.\n(Natural clear speech.) [3.2 seconds duration] Ich warte auf der anderen Seite.",
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      "seconds_generated": 10.24,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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        "J’ai écrit le numéro sur l’enveloppe.",
        "Lis-le bien... et vérifie les deux derniers chiffres.",
        "Appelle-moi quand tu auras un moment."
      ],
      "text": "J’ai écrit le numéro sur l’enveloppe. Lis-le bien... et vérifie les deux derniers chiffres. Appelle-moi quand tu auras un moment.",
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    },
    {
      "id": "heldout-de-3",
      "language": "de",
      "sentences": [
        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
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        3.8,
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Jemand hat den kleinen blauen Stuhl umgestellt.\n(Natural clear speech.) [3.8 seconds duration] Er stand hier... neben dem hohen Bücherregal.\n(Natural clear speech.) [3.2 seconds duration] Wir stellen ihn nach dem Essen zurück.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/dec70eba94e69dec1c64e5fdaa10294726c240e1659e936dc67a764ff17fd668.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "dee0cb3cd8f705d062a4cae02382c832904fdbd44e621137261fe5ec2b06f630",
      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.9529056549072266,
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        "hypothesis": "J'ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/dee0cb3cd8f705d062a4cae02382c832904fdbd44e621137261fe5ec2b06f630.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
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        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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        "Te esperaré al otro lado."
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        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
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        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
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        3.2,
        3.8,
        3.2
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Natural clear speech.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Natural clear speech.) [3.2 seconds duration] La colocaremos después de comer.",
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      "scale": 0.0,
      "cfg": 5.0,
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "language": "en",
      "sentences": [
        "The road turns left behind the bridge.",
        "Keep going... until you reach the small wooden gate.",
        "I will meet you on the other side."
      ],
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-en-0",
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      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
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      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
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        3.2,
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "e3da4c36dcfb0db03fe9847edc6181bec57f58db6a338562d2aa68a15a0b209a",
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      "phase": "grid",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
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      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "seconds_generated": 10.24,
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
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      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e5909eab897a12211c905835ae731a1a5b8f424d5b515bca0005bca07b2949f4.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e5f1f7997ce5d24ad97a6ffd27906fd9f8e9a5f32c0cde4d3d4e8eeb04b7daf7.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
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        3.2
      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "model_predictions_not_human_ratings": true
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
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        3.8,
        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-es-0",
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      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e69b26bf251b478f9d2c2010555ecba0cd3ada3711209427775864ddcf63d8ab.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
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      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.5,
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      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "8946d9cac72a137f02487b530884f44279698f80f0bd7e0f074be3af87718387",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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    },
    {
      "id": "heldout-en-3",
      "language": "en",
      "sentences": [
        "Someone moved the little blue chair.",
        "It used to stand here... beside the tall bookshelf.",
        "We can put it back after lunch."
      ],
      "text": "Someone moved the little blue chair. It used to stand here... beside the tall bookshelf. We can put it back after lunch.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Someone moved the little blue chair.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] It used to stand here... beside the tall bookshelf.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] We can put it back after lunch.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Someone moved the little blue chair.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] It used to stand here... beside the tall bookshelf.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] We can put it back after lunch.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 1.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "90fdd08d3856b3c019136f9282159f29844f0894f430dcab82e8701a4aee10ff",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.15704193711280823,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e6f1e80cc6606ef00fdc322d5829b94fd65ad80a74ab015f88321e5dc194804c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "e74e0287e0f53b19df5d2614751cc1ed478f0f3a15934b5bae7bb19e17042076",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "00b9452fbef832f7c137357a64d9eec1272a73d82e9e2b0880f963f53482de39",
      "generation_seconds_batch": 21.30017559591215,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.158614158630371,
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        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e74e0287e0f53b19df5d2614751cc1ed478f0f3a15934b5bae7bb19e17042076.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "e7b55ce6b46754b89de834858b248303a312760511e99cf11fa289d03bd18f61",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
      "scale": 1.0,
      "cfg": 2.5,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "95ddff567472f612a96156fdcea67a0e430e9ade7c64f61edebd48977ddd9a95",
      "generation_seconds_batch": 19.71491714695003,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.121903896331787,
        "target_z": 5.2500000826626545,
        "ce": 4.553219318389893,
        "genuineness": 4.494794845581055,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e7b55ce6b46754b89de834858b248303a312760511e99cf11fa289d03bd18f61.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "e7cbc8f683b56730b0135f3b4d48ba6e5b7bbe8da5465dff9e5afe14fd9a0f3c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f15786ec8a97a943c0f459a796c7cbbdd9532c71248a8ab5103039df3fe4bcd1",
      "generation_seconds_batch": 21.873838106985204,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 1.3896725177764893,
        "target_z": 2.04687512571612,
        "ce": 6.109982967376709,
        "genuineness": 4.7332844734191895,
        "identity": 0.3536441922187805,
        "hypothesis": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e7cbc8f683b56730b0135f3b4d48ba6e5b7bbe8da5465dff9e5afe14fd9a0f3c.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "e86ba4b9b7103873f5bd9cf5b3be2bdfc1ec6810059d02475c6f8aaf9a7cee4a",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "1e391041ed4b4d0c6a999e758ca6e8d1a9431642028fa417703cdb4cd89859b9",
      "generation_seconds_batch": 15.287937131011859,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.2600131034851074,
        "target_z": 3.6562499965557227,
        "ce": 6.109982967376709,
        "genuineness": 4.532451152801514,
        "identity": 0.6494326591491699,
        "hypothesis": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e86ba4b9b7103873f5bd9cf5b3be2bdfc1ec6810059d02475c6f8aaf9a7cee4a.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "e941c6aac36cd250f24b2c39f4ad0493e399f4c4df9280363e40132e9f5cad68",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 4.0,
      "ended": true,
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      "seconds_generated": 10.24,
      "mp3_sha256": "7ac46f0685a2270ca44c3926ee4bb1bfec1b04715474d5afab3e787e11a0730a",
      "generation_seconds_batch": 20.722915444988757,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.9360058307647705,
        "target_z": 4.906249969001505,
        "ce": 5.391171455383301,
        "genuineness": 4.909013748168945,
        "identity": 0.8618679046630859,
        "hypothesis": "J'ai trouvé la petite boîte, elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/e941c6aac36cd250f24b2c39f4ad0493e399f4c4df9280363e40132e9f5cad68.mp3"
    },
    {
      "id": "heldout-fr-3",
      "language": "fr",
      "sentences": [
        "Quelqu’un a déplacé la petite chaise bleue.",
        "Elle était ici... près de la grande bibliothèque.",
        "Nous la remettrons après le déjeuner."
      ],
      "text": "Quelqu’un a déplacé la petite chaise bleue. Elle était ici... près de la grande bibliothèque. Nous la remettrons après le déjeuner.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-3",
      "key": "e99e7127f66048b16003c5c0837d54c7066dc7b1820a1b66e10cc37258776f95",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Quelqu’un a déplacé la petite chaise bleue.\n(Natural clear speech.) [3.8 seconds duration] Elle était ici... près de la grande bibliothèque.\n(Natural clear speech.) [3.2 seconds duration] Nous la remettrons après le déjeuner.",
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      "scale": 0.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "heldout-de-3",
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        "Jemand hat den kleinen blauen Stuhl umgestellt.",
        "Er stand hier... neben dem hohen Bücherregal.",
        "Wir stellen ihn nach dem Essen zurück."
      ],
      "text": "Jemand hat den kleinen blauen Stuhl umgestellt. Er stand hier... neben dem hohen Bücherregal. Wir stellen ihn nach dem Essen zurück.",
      "sentence_seconds": [
        3.2,
        3.8,
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      "seconds": 10.2,
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      "reference": true,
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "ea4399052b857f5587091c9e6f0faf4a9b2a4d4a8851400f9d3b3b5204a379cd",
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      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
      "seed": 1701,
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      "seconds_generated": 10.24,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "wer": 0.0,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/ea6cdd49fce8d3f6a8cf7f9992e17a484445ea42b1a23355b57f150c90dce3dd.mp3"
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      "id": "heldout-es-0",
      "language": "es",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Natural clear speech.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo podemos hablar.",
      "seed": 1702,
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      "seconds_generated": 10.16,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.9896159172058105,
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        "wer": 0.15,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/eab9473c52733e289b1bc866f3b837e85f61aa1055437b5cf10bce144959bd84.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "eb1b09cacaae8a0d4abc00a248e4ca8d91aa842b94f50802ae0036f2faca95fa",
      "bucket": "emo_Fatigue_Exhaustion",
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      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "seconds_generated": 10.24,
      "mp3_sha256": "c97f75c3de6d8cbbd2601377688f4394a2094fc8007f643931b33840821280fd",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.5164210796356201,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/eb1b09cacaae8a0d4abc00a248e4ca8d91aa842b94f50802ae0036f2faca95fa.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "eba5a6a5bc1b6a345c11c22835e743bd3234fbf69fee565d2b6796c0522581fe",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1701,
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      "cfg": 3.0,
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      "seconds_generated": 10.24,
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      "generation_seconds_batch": 25.519694881979376,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.088104248046875,
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        "ce": 5.816103935241699,
        "genuineness": 4.645420074462891,
        "identity": 0.6866398453712463,
        "hypothesis": "J'ai trouvé la petite boîte, elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/eba5a6a5bc1b6a345c11c22835e743bd3234fbf69fee565d2b6796c0522581fe.mp3"
    },
    {
      "id": "heldout-fr-2",
      "language": "fr",
      "sentences": [
        "La route tourne à gauche après le pont.",
        "Continue... jusqu’à la petite barrière en bois.",
        "Je t’attendrai de l’autre côté."
      ],
      "text": "La route tourne à gauche après le pont. Continue... jusqu’à la petite barrière en bois. Je t’attendrai de l’autre côté.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-2",
      "key": "ebe89981a89e9506d02bacdfa583f9bfe1f04faa699193749ab6419de85c588f",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
      "prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] La route tourne à gauche après le pont.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Continue... jusqu’à la petite barrière en bois.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Je t’attendrai de l’autre côté.",
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "id": "emo_Fatigue_Exhaustion-fr-0",
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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        3.2,
        3.8,
        3.2
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    {
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        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2
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        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
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        3.2,
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
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        3.2,
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      "seconds": 10.2,
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-1",
      "language": "es",
      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
      "text": "He encontrado la cajita. Estaba junto a la ventana vieja. Podemos mirar juntos lo que hay dentro.",
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        3.2,
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      ],
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] He encontrado la cajita.\n(Natural clear speech.) [3.8 seconds duration] Estaba junto a la ventana vieja.\n(Natural clear speech.) [3.2 seconds duration] Podemos mirar juntos lo que hay dentro.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
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      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
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        3.2,
        3.8,
        3.2
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        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De deur staat nog open.\n(Natural clear speech.) [3.8 seconds duration] Ik heb je jas op de stoel gelegd.\n(Natural clear speech.) [3.2 seconds duration] Zeg maar wanneer je klaar bent.",
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    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
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    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f100e68dfc65dd701257138323cc27bcc494dc113bfe1dfe0984f833ef1d78d2.mp3"
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    {
      "id": "heldout-es-0",
      "language": "es",
      "sentences": [
        "Tu mensaje llegó después de que me fuera.",
        "Lo leí dos veces... y guardé el teléfono.",
        "Dime cuándo podemos hablar."
      ],
      "text": "Tu mensaje llegó después de que me fuera. Lo leí dos veces... y guardé el teléfono. Dime cuándo podemos hablar.",
      "sentence_seconds": [
        3.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Tu mensaje llegó después de que me fuera.\n(Natural clear speech.) [3.8 seconds duration] Lo leí dos veces... y guardé el teléfono.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo podemos hablar.",
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      "metrics": {
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        "genuineness": 4.532451152801514,
        "identity": 0.6610511541366577,
        "hypothesis": "Tu mensaje llegó después de que me fuera. Lo leí dos veces y guardé el teléfono. Dime cuándo podemos hablar.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f18647993a5e1529befc3688fe566be7faecd0f4672f9080c9b406e7fbe0bc9b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-0",
      "language": "fr",
      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
      "text": "La porte est encore ouverte. J’ai posé ton manteau sur la chaise. Dis-moi quand tu es prêt.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-0",
      "key": "f21898995fd718fcd99986135cb09629f772edca00f00c8c8f536c9eea09f05c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La porte est encore ouverte.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La porte est encore ouverte.\n(Natural clear speech.) [3.8 seconds duration] J’ai posé ton manteau sur la chaise.\n(Natural clear speech.) [3.2 seconds duration] Dis-moi quand tu es prêt.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "05e0711c428062a18473c8ee63207d612ee7fc7e2afcf219af1d9175810ac29b",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "genuineness": 4.557555198669434,
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        "wer": 0.0,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f21898995fd718fcd99986135cb09629f772edca00f00c8c8f536c9eea09f05c.mp3"
    },
    {
      "id": "heldout-fr-0",
      "language": "fr",
      "sentences": [
        "Ton message est arrivé après mon départ.",
        "Je l’ai relu... puis j’ai rangé mon téléphone.",
        "Dis-moi quand nous pourrons parler."
      ],
      "text": "Ton message est arrivé après mon départ. Je l’ai relu... puis j’ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-0",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "standard",
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      "neutral_prompt": "GENERAL: One adult speaker in a clean recording. Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.\nSCRIPT:\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Ton message est arrivé après mon départ.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.8 seconds duration] Je l’ai relu... puis j’ai rangé mon téléphone.\n(Intense Fatigue Exhaustion. Make the requested delivery clearly audible, not merely implied by the words. Preserve every word.) [3.2 seconds duration] Dis-moi quand nous pourrons parler.",
      "seed": 1702,
      "scale": 0.0,
      "cfg": 1.0,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.22120842337608337,
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        "hypothesis": "Ton message est arrivé après mon départ, je l'ai relu, puis j'ai rangé mon téléphone. Dis-moi quand nous pourrons parler.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f21bc0adf2df6aeda4aa5bc68657c60b57559ffed3b647118e970ebfd0ba6ad8.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "f21d009498b43a5ba66da5a2a0e8080d1478f37ce11018fd2e6450b5144d5875",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1701,
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      "ended": true,
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      "seconds_generated": 10.16,
      "mp3_sha256": "ea7215c41eb179c32607fd4265601210a57bc74c91f627e268b37f43a14c6cbb",
      "generation_seconds_batch": 22.628989787888713,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.5811097621917725,
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        "ce": 5.395142555236816,
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        "wer": 0.06666666666666667,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f21d009498b43a5ba66da5a2a0e8080d1478f37ce11018fd2e6450b5144d5875.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-0",
      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
      "text": "The door is still open. I put your coat on the chair. Tell me when you are ready.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-0",
      "key": "f2d8a8770bb5299be5fac253e0ca181475c2485dd5cdcd8d065414b3a647265a",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] The door is still open.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] I put your coat on the chair.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Tell me when you are ready.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] The door is still open.\n(Natural clear speech.) [3.8 seconds duration] I put your coat on the chair.\n(Natural clear speech.) [3.2 seconds duration] Tell me when you are ready.",
      "seed": 1702,
      "scale": 0.75,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "37b9971049f82911c06727c46c65ca0193b3776fa7c4201a55043c1b9ec196d7",
      "generation_seconds_batch": 22.11656731099356,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 2.1163647174835205,
        "target_z": 3.3906251291603975,
        "ce": 5.39911413192749,
        "genuineness": 4.394378662109375,
        "identity": 0.44571784138679504,
        "hypothesis": "Uh the door is still open. I put your coat on the chair. Tell me when you are ready.",
        "wer": 0.05555555555555555,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f2d8a8770bb5299be5fac253e0ca181475c2485dd5cdcd8d065414b3a647265a.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "f311f1311033f0fce143d0d489531fce7d71a0baf6cf749374de29a5e4d5df65",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1702,
      "scale": 0.5,
      "cfg": 1.25,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "2ab57344ef122567abd2da03f24eb8569a4dcf55a96f471cbe385b1204ae8958",
      "generation_seconds_batch": 24.33557234692853,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 0.13486091792583466,
        "target_z": -0.27343750774962383,
        "ce": 6.24500846862793,
        "genuineness": 4.507347106933594,
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        "wer": 0.0,
        "duration_error_s": 0.03999999999999915,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f311f1311033f0fce143d0d489531fce7d71a0baf6cf749374de29a5e4d5df65.mp3"
    },
    {
      "id": "heldout-es-3",
      "language": "es",
      "sentences": [
        "Alguien ha movido la pequeña silla azul.",
        "Estaba aquí... junto a la estantería alta.",
        "La colocaremos después de comer."
      ],
      "text": "Alguien ha movido la pequeña silla azul. Estaba aquí... junto a la estantería alta. La colocaremos después de comer.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-es-3",
      "key": "f361d132db7d3df91aa0d2ef4833d50d0cec999c0ceffbe09e3e5511e4b34c33",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] La colocaremos después de comer.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Alguien ha movido la pequeña silla azul.\n(Natural clear speech.) [3.8 seconds duration] Estaba aquí... junto a la estantería alta.\n(Natural clear speech.) [3.2 seconds duration] La colocaremos después de comer.",
      "seed": 1701,
      "scale": 0.0,
      "cfg": 5.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "7e7f5b1249ebc6a3b1a9a3b74685bf3d6ef3a68a35776fbcf7a6df8623566aba",
      "generation_seconds_batch": 17.187170448014513,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 3.1895031929016113,
        "target_z": 5.375000123993981,
        "ce": 5.605623245239258,
        "genuineness": 4.607763767242432,
        "identity": 0.6485792398452759,
        "hypothesis": "Alguien ha movido la pequeña silla azul. Estaba aquí, junto a la estantería alta. La colocaremos después de comer.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f361d132db7d3df91aa0d2ef4833d50d0cec999c0ceffbe09e3e5511e4b34c33.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
      "key": "f3afac1489ca08889651243524873917fd712e893a18c05e62e342d560ca27ba",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Die Tür ist noch offen.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 128,
      "seconds_generated": 10.24,
      "mp3_sha256": "f70b57c198e9bd8b09b3c33d363b801dc79ec37a7e1d08755f19534166061ef5",
      "generation_seconds_batch": 21.935666568926536,
      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
        "valid_waveform": true,
        "target_raw": 3.088104248046875,
        "target_z": 5.187500061996991,
        "ce": 5.411027908325195,
        "genuineness": 4.68307638168335,
        "identity": 0.7409828901290894,
        "hypothesis": "Die Tür ist noch offen. Ich hab deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
        "wer": 0.05263157894736842,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f3afac1489ca08889651243524873917fd712e893a18c05e62e342d560ca27ba.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-1",
      "key": "f3fd613cbd42a01224c300d33880747d5a5d07d9852f208c21ca49d244ed7656",
      "bucket": "emo_Fatigue_Exhaustion",
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        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
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        "Het stond naast het oude raam.",
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        "I found the little box.",
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      "id": "emo_Fatigue_Exhaustion-en-0",
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        "Tell me when you are ready."
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      "sentences": [
        "La porte est encore ouverte.",
        "J’ai posé ton manteau sur la chaise.",
        "Dis-moi quand tu es prêt."
      ],
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f5d63ad2e8f1ca87ba51a3e8c7728f522466d40169649b602d2519ff5fe99959.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "f666812d1c86c119bbec5a36537312b865f6fe46a989f4f168a952ff0f5e171b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
      "seed": 1701,
      "scale": 1.0,
      "cfg": 4.0,
      "ended": true,
      "frames_generated": 127,
      "seconds_generated": 10.16,
      "mp3_sha256": "66ea2ccc2059b49d54244c294116a775dd50846e191818caa33d8673494610b0",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f666812d1c86c119bbec5a36537312b865f6fe46a989f4f168a952ff0f5e171b.mp3"
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    {
      "id": "heldout-nl-2",
      "language": "nl",
      "sentences": [
        "De weg gaat linksaf na de brug.",
        "Loop verder... tot aan het kleine houten hek.",
        "Ik wacht aan de andere kant."
      ],
      "text": "De weg gaat linksaf na de brug. Loop verder... tot aan het kleine houten hek. Ik wacht aan de andere kant.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "key": "f751a52b3e9d584b0baab64d6bcc8d2e23bdbf4221fad2f9de5b3c7eeb683aea",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] De weg gaat linksaf na de brug.\n(Natural clear speech.) [3.8 seconds duration] Loop verder... tot aan het kleine houten hek.\n(Natural clear speech.) [3.2 seconds duration] Ik wacht aan de andere kant.",
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      "seconds_generated": 10.16,
      "mp3_sha256": "1d51f818fe0729fe2b0c11b08bcc476f1b89a429b310d5eaaaf6220f35ed94c4",
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      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f751a52b3e9d584b0baab64d6bcc8d2e23bdbf4221fad2f9de5b3c7eeb683aea.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "f755c906f77bc694dbe57f363a3400d34f766f2e967a460453acbdb795a3b895",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
      "seed": 1702,
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      "ended": true,
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      "seconds_generated": 10.16,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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    {
      "id": "heldout-es-4",
      "language": "es",
      "sentences": [
        "Escribí el número en el sobre.",
        "Léelo bien... y comprueba las dos últimas cifras.",
        "Llámame cuando tengas un momento."
      ],
      "text": "Escribí el número en el sobre. Léelo bien... y comprueba las dos últimas cifras. Llámame cuando tengas un momento.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "reference": true,
      "task_id": "heldout-es-4",
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      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Escribí el número en el sobre.\n(Natural clear speech.) [3.8 seconds duration] Léelo bien... y comprueba las dos últimas cifras.\n(Natural clear speech.) [3.2 seconds duration] Llámame cuando tengas un momento.",
      "seed": 1701,
      "scale": 0.5,
      "cfg": 5.0,
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      "seconds_generated": 10.24,
      "mp3_sha256": "74ed7b2ebf30f262bba57c2969ed5b8ddd6e3aa6a5eeea1f170a8c42b8bad35e",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 2.3698620796203613,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f755f549c0ca3493160779598d720a5a6fe883498b004b051a463bfbc9a2db29.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-nl-1",
      "key": "f78bdaf51e110b02d6f7b55d801554009575cac51749604a9002ad937828672b",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] Het stond naast het oude raam.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
      "seed": 1702,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.5079712867736816,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f78bdaf51e110b02d6f7b55d801554009575cac51749604a9002ad937828672b.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-en-1",
      "key": "f79461abe180de66f3327a4fd35e319f54dbbb7ea5d7faa938ab152c5c40fe54",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] I found the little box.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] It was beside the old window.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] We can look inside together.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 1.7192189693450928,
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        "model_predictions_not_human_ratings": true
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f79461abe180de66f3327a4fd35e319f54dbbb7ea5d7faa938ab152c5c40fe54.mp3"
    },
    {
      "id": "emo_Fatigue_Exhaustion-fr-1",
      "language": "fr",
      "sentences": [
        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-fr-1",
      "key": "f79f58f4679d68f99419b76e168243b5b8f5eb40cb7d729a4354a84bf475c8a4",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] J’ai trouvé la petite boîte.\n(Natural clear speech.) [3.8 seconds duration] Elle était près de la vieille fenêtre.\n(Natural clear speech.) [3.2 seconds duration] Nous pouvons regarder ensemble ce qu’elle contient.",
      "seed": 1702,
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      "original_audio_reused": false,
      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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        "target_raw": 0.45806995034217834,
        "target_z": 0.3242187469862574,
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        "identity": 0.6358715295791626,
        "hypothesis": "J'ai trouvé la petite boîte elle était près de la vieille fenêtre nous pouvons regarder ensemble ce qu'elle contient.",
        "wer": 0.0,
        "duration_error_s": 0.040000000000000924,
        "model_predictions_not_human_ratings": true
      },
      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f79f58f4679d68f99419b76e168243b5b8f5eb40cb7d729a4354a84bf475c8a4.mp3"
    },
    {
      "id": "heldout-fr-1",
      "language": "fr",
      "sentences": [
        "Les clés sont sur la table de la cuisine.",
        "J’ai regardé dans le tiroir... puis près de la fenêtre.",
        "Prends-les quand tu partiras."
      ],
      "text": "Les clés sont sur la table de la cuisine. J’ai regardé dans le tiroir... puis près de la fenêtre. Prends-les quand tu partiras.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
      ],
      "seconds": 10.2,
      "frames": 128,
      "max_frames": 188,
      "reference": true,
      "task_id": "heldout-fr-1",
      "key": "f7a65885d0e107603bdce9d92b5fc3b68a68524db7b0b06f79b6538794e8bf5c",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "heldout",
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      "language": "en",
      "sentences": [
        "The door is still open.",
        "I put your coat on the chair.",
        "Tell me when you are ready."
      ],
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        3.2
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      "seconds": 10.2,
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        "Die Straße führt hinter der Brücke nach links.",
        "Geh weiter... bis zu dem kleinen Holztor.",
        "Ich warte auf der anderen Seite."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-nl-0",
      "language": "nl",
      "sentences": [
        "De deur staat nog open.",
        "Ik heb je jas op de stoel gelegd.",
        "Zeg maar wanneer je klaar bent."
      ],
      "text": "De deur staat nog open. Ik heb je jas op de stoel gelegd. Zeg maar wanneer je klaar bent.",
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      "metrics": {
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      "id": "emo_Fatigue_Exhaustion-fr-1",
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        "J’ai trouvé la petite boîte.",
        "Elle était près de la vieille fenêtre.",
        "Nous pouvons regarder ensemble ce qu’elle contient."
      ],
      "text": "J’ai trouvé la petite boîte. Elle était près de la vieille fenêtre. Nous pouvons regarder ensemble ce qu’elle contient.",
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        3.2,
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        3.2
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "id": "heldout-es-2",
      "language": "es",
      "sentences": [
        "La carretera gira a la izquierda tras el puente.",
        "Sigue... hasta la pequeña puerta de madera.",
        "Te esperaré al otro lado."
      ],
      "text": "La carretera gira a la izquierda tras el puente. Sigue... hasta la pequeña puerta de madera. Te esperaré al otro lado.",
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        3.2,
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        3.2
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      "bucket": "emo_Fatigue_Exhaustion",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La carretera gira a la izquierda tras el puente.\n(Natural clear speech.) [3.8 seconds duration] Sigue... hasta la pequeña puerta de madera.\n(Natural clear speech.) [3.2 seconds duration] Te esperaré al otro lado.",
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f9a8327ecdd52a4d3d7220781af1994754ba0d8f1837181c1634efc0bbab6af7.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
      "sentence_seconds": [
        3.2,
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        3.2
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      "seconds": 10.2,
      "frames": 128,
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "seconds_generated": 10.16,
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      "scoring_contract": "singleton-EARS-ASR-Orange128-preMP3-v1",
      "metrics": {
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      "audio_url": "https://huggingface.co/datasets/laion/Humaneness-Voice-Large-1.5-Intense-Bucket-LoRAs-Demo-Audio/resolve/main/manual-comparison-v1/audio/emo_Fatigue_Exhaustion/f9c8e3229660be77089fdec256c8865f3eb65cf7817dc8e0b1d009765f9935e5.mp3"
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
      "language": "es",
      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
      "text": "La puerta sigue abierta. He dejado tu abrigo sobre la silla. Dime cuándo estás listo.",
      "sentence_seconds": [
        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "max_frames": 188,
      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-es-0",
      "key": "f9d827be97432ea8d5f42674ac878d767967d148c6925cd1ffc8ba6fbc12dd77",
      "bucket": "emo_Fatigue_Exhaustion",
      "phase": "grid",
      "candidate": "manual-1711f3012766",
      "prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects. Embody exhaustion as a systemic drain, where the voice sounds hollowed out and brittle. Prioritize texture over volume.\nSCRIPT:\n(Begin with a breathy onset, implying the lungs are incapable of a full, robust inhalation before speaking.) [3.2 seconds duration] La puerta sigue abierta.\n(Introduce subtle vocal fry or rasping texture on key consonants to signify deep physical strain.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Deliver the last phrase with a fragile, almost cracking quality, as if the vocal apparatus is on the verge of breaking.) [3.2 seconds duration] Dime cuándo estás listo.",
      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I wrote the number on the envelope.\n(Natural clear speech.) [3.8 seconds duration] Read it carefully... and check the last two digits.\n(Natural clear speech.) [3.2 seconds duration] Call me when you have a moment.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
      "language": "de",
      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2,
        3.8,
        3.2
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      "reference": true,
      "task_id": "emo_Fatigue_Exhaustion-de-0",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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    {
      "id": "emo_Fatigue_Exhaustion-es-0",
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      "sentences": [
        "La puerta sigue abierta.",
        "He dejado tu abrigo sobre la silla.",
        "Dime cuándo estás listo."
      ],
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        3.2,
        3.8,
        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] La puerta sigue abierta.\n(Natural clear speech.) [3.8 seconds duration] He dejado tu abrigo sobre la silla.\n(Natural clear speech.) [3.2 seconds duration] Dime cuándo estás listo.",
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      "id": "emo_Fatigue_Exhaustion-es-1",
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      "sentences": [
        "He encontrado la cajita.",
        "Estaba junto a la ventana vieja.",
        "Podemos mirar juntos lo que hay dentro."
      ],
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    {
      "id": "emo_Fatigue_Exhaustion-de-0",
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      "sentences": [
        "Die Tür ist noch offen.",
        "Ich habe deinen Mantel auf den Stuhl gelegt.",
        "Sag mir, wenn du bereit bist."
      ],
      "text": "Die Tür ist noch offen. Ich habe deinen Mantel auf den Stuhl gelegt. Sag mir, wenn du bereit bist.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Die Tür ist noch offen.\n(Natural clear speech.) [3.8 seconds duration] Ich habe deinen Mantel auf den Stuhl gelegt.\n(Natural clear speech.) [3.2 seconds duration] Sag mir, wenn du bereit bist.",
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      "metrics": {
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    {
      "id": "emo_Fatigue_Exhaustion-en-1",
      "language": "en",
      "sentences": [
        "I found the little box.",
        "It was beside the old window.",
        "We can look inside together."
      ],
      "text": "I found the little box. It was beside the old window. We can look inside together.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] I found the little box.\n(Natural clear speech.) [3.8 seconds duration] It was beside the old window.\n(Natural clear speech.) [3.2 seconds duration] We can look inside together.",
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    {
      "id": "emo_Fatigue_Exhaustion-nl-1",
      "language": "nl",
      "sentences": [
        "Ik heb het kleine doosje gevonden.",
        "Het stond naast het oude raam.",
        "We kunnen er samen in kijken."
      ],
      "text": "Ik heb het kleine doosje gevonden. Het stond naast het oude raam. We kunnen er samen in kijken.",
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        3.2,
        3.8,
        3.2
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      "seconds": 10.2,
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      "task_id": "emo_Fatigue_Exhaustion-nl-1",
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ik heb het kleine doosje gevonden.\n(Natural clear speech.) [3.8 seconds duration] Het stond naast het oude raam.\n(Natural clear speech.) [3.2 seconds duration] We kunnen er samen in kijken.",
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    {
      "id": "emo_Fatigue_Exhaustion-de-1",
      "language": "de",
      "sentences": [
        "Ich habe die kleine Schachtel gefunden.",
        "Sie stand neben dem alten Fenster.",
        "Wir können gemeinsam hineinschauen."
      ],
      "text": "Ich habe die kleine Schachtel gefunden. Sie stand neben dem alten Fenster. Wir können gemeinsam hineinschauen.",
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        3.2
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      "neutral_prompt": "GENERAL: One adult speaker, clean high-quality recording, no music or sound effects.\nSCRIPT:\n(Natural clear speech.) [3.2 seconds duration] Ich habe die kleine Schachtel gefunden.\n(Natural clear speech.) [3.8 seconds duration] Sie stand neben dem alten Fenster.\n(Natural clear speech.) [3.2 seconds duration] Wir können gemeinsam hineinschauen.",
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      "metrics": {
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