{
 "id": "ttthe/MultiMed",
 "owner": "ttthe",
 "name": "MultiMed",
 "downloads": 108,
 "likes": 0,
 "last_modified": "2026-01-09T07:15:25.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "automatic-speech-recognition"
 ],
 "citation": "@article{le2024multimed,\n  title={MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder},\n  author={Le-Duc, Khai and Phan, Phuc and Pham, Tan-Hanh and Tat, Bach Phan and Ngo, Minh-Huong and Ngo, Chris and Nguyen-Tang, Thanh and Hy, Truong-Son},\n  journal={arXiv preprint arXiv:2409.14074},\n  year={2024}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "3158f84508a1a583eb4532bd275f6eaabe21975c",
 "stated_evidence": "https://huggingface.co/datasets/ttthe/MultiMed/blob/3158f84508a1a583eb4532bd275f6eaabe21975c/README.md",
 "file_evidence": "https://huggingface.co/datasets/ttthe/MultiMed/tree/3158f84508a1a583eb4532bd275f6eaabe21975c",
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}