{
 "id": "JinGao/TadA-Bench",
 "owner": "JinGao",
 "name": "TadA-Bench",
 "downloads": 2539,
 "likes": 0,
 "last_modified": "2026-06-03T15:52:08.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{gao2026tadabench,\n  title = {TadA-Bench: A Million-Variant Benchmark for Future-Round Discovery Toward Agentic Protein Engineering},\n  author = {Gao, Jin and Zhao, Juntu and Zeng, Zirui and Shen, Jiaqi and Shi, Junhao and Zhao, Dukun and Lu, Yuming and Wang, Dequan},\n  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},\n  year = {2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "1e4fafa5690f9aaf4dd4788e3fe389475ebb15cf",
 "stated_evidence": "https://huggingface.co/datasets/JinGao/TadA-Bench/blob/1e4fafa5690f9aaf4dd4788e3fe389475ebb15cf/README.md",
 "file_evidence": "https://huggingface.co/datasets/JinGao/TadA-Bench/tree/1e4fafa5690f9aaf4dd4788e3fe389475ebb15cf",
 "card_nc": false
}