{
 "id": "Suzhen/AgentReviewChat",
 "owner": "Suzhen",
 "name": "AgentReviewChat",
 "downloads": 206,
 "likes": 1,
 "last_modified": "2026-09-01T19:40:49.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "text-generation"
 ],
 "citation": "@misc{zhong2026humanaisynergyagenticcode,\n      title={Human-AI Synergy in Agentic Code Review},\n      author={Suzhen Zhong and Shayan Noei and Ying Zou and Bram Adams},\n      year={2026},\n      eprint={2603.15911},\n      archivePrefix={arXiv},\n      primaryClass={cs.SE},\n      url={https://arxiv.org/abs/2603.15911},\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "4395f86240d4dec71694e55909c73ad0355ce988",
 "stated_evidence": "https://huggingface.co/datasets/Suzhen/AgentReviewChat/blob/4395f86240d4dec71694e55909c73ad0355ce988/README.md",
 "file_evidence": "https://huggingface.co/datasets/Suzhen/AgentReviewChat/tree/4395f86240d4dec71694e55909c73ad0355ce988",
 "card_nc": false
}