{
 "id": "weiyang930/SynCo",
 "owner": "weiyang930",
 "name": "SynCo",
 "downloads": 142,
 "likes": 4,
 "last_modified": "2026-10-08T05:48:50.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@inproceedings{yang2026synco,\n  title     = {SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning},\n  author    = {Yang, Wei and Li, Shawn and Qin, Yuehan and Wang, Yawei and Wang, Mingxi and Li, Shixuan and Yang, Tiankai and Li, Jiate and Thomason, Jesse and Ma, Xuezhe and Zhao, Yue},\n  booktitle = {NeurIPS 2026 Workshop on Towards Test-Time Continual Learning Agents},\n  year      = {2026}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "24879b57b5722285a202f3ef3b65489cc4ace3b8",
 "stated_evidence": "https://huggingface.co/datasets/weiyang930/SynCo/blob/24879b57b5722285a202f3ef3b65489cc4ace3b8/README.md",
 "file_evidence": "https://huggingface.co/datasets/weiyang930/SynCo/tree/24879b57b5722285a202f3ef3b65489cc4ace3b8",
 "card_nc": false
}