{
 "id": "IS2Lab/S-Eval",
 "owner": "IS2Lab",
 "name": "S-Eval",
 "downloads": 1004,
 "likes": 17,
 "last_modified": "2026-02-13T10:39:51.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation"
 ],
 "citation": "@article{yuan2025seval,\n        title={S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models},\n        author={Yuan, Xiaohan and Li, Jinfeng and Wang, Dongxia and Chen, Yuefeng and Mao, Xiaofeng and Huang, Longtao and Chen, Jialuo and Xue, Hui and Liu, Xiaoxia and Wang, Wenhai and Ren, Kui and Wang, Jingyi},\n        journal={Proceedings of the ACM on Software Engineering},\n        volume={2},\n        number={ISSTA},\n        pages={2136--2157},\n        year={2025},\n        publisher={ACM New York, NY, USA},\n        url = {https://doi.org/10.1145/3728971},\n        doi = {10.1145/3728971}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions.",
 "revision": "4f554d3d3293dd2ba255a2e6ba8b53284ecf48eb",
 "stated_evidence": "https://huggingface.co/datasets/IS2Lab/S-Eval/blob/4f554d3d3293dd2ba255a2e6ba8b53284ecf48eb/README.md",
 "file_evidence": "https://huggingface.co/datasets/IS2Lab/S-Eval/tree/4f554d3d3293dd2ba255a2e6ba8b53284ecf48eb",
 "card_nc": false
}