{
 "id": "MiliLab/AnesBench",
 "owner": "MiliLab",
 "name": "AnesBench",
 "downloads": 54,
 "likes": 2,
 "last_modified": "2026-03-07T08:11:33.000Z",
 "stated_licence": "c-uda",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "If you find AnesBench helpful, please consider citing the following paper:\n\n```latex\n@inproceedings{\n  feng2026anessuite,\n  title={AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in {LLM}s},\n  author={Xiang Feng and Wentao Jiang and Zengmao Wang and Yong Luo and Pingbo Xu and Baosheng Yu and Hua Jin and Jing Zhang},\n  booktitle={The Fourteenth International Conference on Learning Representations},\n  year={2026},\n  url={https://openreview.net/forum?id=iKRQMeC7yO}\n}\n```",
 "signal": "restrictive",
 "reason": "The declared licence (c-uda) is classified as having use restrictions.",
 "revision": "b78f5dbd0709053b3e910f095d87905830d21c81",
 "stated_evidence": "https://huggingface.co/datasets/MiliLab/AnesBench/blob/b78f5dbd0709053b3e910f095d87905830d21c81/README.md",
 "file_evidence": "https://huggingface.co/datasets/MiliLab/AnesBench/tree/b78f5dbd0709053b3e910f095d87905830d21c81",
 "card_nc": false
}