{
 "id": "Fancylalala/AEGIS",
 "owner": "Fancylalala",
 "name": "AEGIS",
 "downloads": 260,
 "likes": 7,
 "last_modified": "2026-08-17T10:08:36.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification"
 ],
 "citation": "@article{kong2025aegis,\n  title={AEGIS: Automated Error Generation and Identification for Multi-Agent Systems},\n  author={Kong, Fanqi and Zhang, Ruijie and Yin, Huaxiao and Zhang, Guibin and Zhang, Xiaofei and Chen, Ziang and Zhang, Zhaowei and Zhang, Xiaoyuan and Zhu, Song-Chun and Feng, Xue},\n  journal={arXiv preprint arXiv:2509.14295},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "b936269a5143e4450242d8628bff026bdc5bae18",
 "stated_evidence": "https://huggingface.co/datasets/Fancylalala/AEGIS/blob/b936269a5143e4450242d8628bff026bdc5bae18/README.md",
 "file_evidence": "https://huggingface.co/datasets/Fancylalala/AEGIS/tree/b936269a5143e4450242d8628bff026bdc5bae18",
 "card_nc": false
}