{
 "id": "Scicom-intl/Whisper-Hallucination",
 "owner": "Scicom-intl",
 "name": "Whisper-Hallucination",
 "downloads": 420,
 "likes": 0,
 "last_modified": "2026-09-25T02:48:52.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "automatic-speech-recognition",
  "audio-classification"
 ],
 "citation": "Dataset: `Scicom-intl/Whisper-Hallucination`. Code:\nhttps://github.com/Scicom-AI-Enterprise-Organization/Whisper-Hallucination\n\nBuilt on:\n\n- Koenecke, Choi, Mei, Schellmann, Sloane. *Careless Whisper: Speech-to-Text Hallucination Harms.* FAccT 2024.\n- Barański et al. *Investigation of Whisper ASR Hallucinations Induced by Non-Speech Audio.* ICASSP 2025. (`arXiv:2501.11378`)\n- Wang et al. *Calm-Whisper: Reduce Whisper Hallucination On Non-Speech By Calming Crazy Heads Down.* Interspeech 2025. (`arXiv:2505.12969`)\n- *HALAS: A Human-Annotated Dataset of Hallucinations of Modern ASR Systems.*\n- NVIDIA `NeMo-speech-data-processor`, Granary pipeline.\n- Lingua Libre / Wikimedia Commons contributors.",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "8126be4a4b83afefeef9394ff1312b635a499d82",
 "stated_evidence": "https://huggingface.co/datasets/Scicom-intl/Whisper-Hallucination/blob/8126be4a4b83afefeef9394ff1312b635a499d82/README.md",
 "file_evidence": "https://huggingface.co/datasets/Scicom-intl/Whisper-Hallucination/tree/8126be4a4b83afefeef9394ff1312b635a499d82",
 "card_nc": false
}