{
 "id": "leduckhai/MultiMed-ST",
 "owner": "leduckhai",
 "name": "MultiMed-ST",
 "downloads": 474,
 "likes": 14,
 "last_modified": "2025-11-09T12:36:56.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "translation",
  "automatic-speech-recognition"
 ],
 "citation": "If you use our dataset or models, please cite:\n\n📄 [arXiv:2504.03546](https://arxiv.org/abs/2504.03546)\n\n```bibtex\n@inproceedings{le2025multimedst,\n  title={MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation},\n  author={Le-Duc, Khai and Tran, Tuyen and Tat, Bach Phan and Bui, Nguyen Kim Hai and Anh, Quan Dang and Tran, Hung-Phong and Nguyen, Thanh Thuy and Nguyen, Ly and Phan, Tuan Minh and Tran, Thi Thu Phuong and others},\n  booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},\n  pages={11838--11963},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "d8c3b300b0f2e2ec8fa2113df3bdbc25f5e64668",
 "stated_evidence": "https://huggingface.co/datasets/leduckhai/MultiMed-ST/blob/d8c3b300b0f2e2ec8fa2113df3bdbc25f5e64668/README.md",
 "file_evidence": "https://huggingface.co/datasets/leduckhai/MultiMed-ST/tree/d8c3b300b0f2e2ec8fa2113df3bdbc25f5e64668",
 "card_nc": false
}