{
 "id": "Ameame1002/OPERA",
 "owner": "Ameame1002",
 "name": "OPERA",
 "downloads": 103,
 "likes": 0,
 "last_modified": "2026-05-25T16:42:54.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "text-retrieval"
 ],
 "citation": "@article{Liu2026OPERA,\n  author  = {Liu, Yu and Liu, Yanbing and Yuan, Fangfang and Cao, Cong and Sun, Youbang and Peng, Kun and Chen, WeiZhuo and Li, Jianjun and Ma, Zhiyuan},\n  title   = {{OPERA}: A Reinforcement Learning--Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval},\n  journal = {arXiv preprint arXiv:2508.16438},\n  year    = {2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "3b41d5799e25cd646b81f8be3b7872eae7b0ada0",
 "stated_evidence": "https://huggingface.co/datasets/Ameame1002/OPERA/blob/3b41d5799e25cd646b81f8be3b7872eae7b0ada0/README.md",
 "file_evidence": "https://huggingface.co/datasets/Ameame1002/OPERA/tree/3b41d5799e25cd646b81f8be3b7872eae7b0ada0",
 "card_nc": false
}