{
 "id": "RLinf/WideSeek-R1-train-data",
 "owner": "RLinf",
 "name": "WideSeek-R1-train-data",
 "downloads": 1002,
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 "last_modified": "2026-03-13T02:02:38.000Z",
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 "tasks": [
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 ],
 "citation": "@article{xu2026wideseek,\n  title   = {WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning},\n  author  = {Xu, Zelai and Xu, Zhexuan and Zhang, Ruize and Zhu, Chunyang and Yu, Shi and Liu, Weilin and Zhang, Quanlu and Ding, Wenbo and Yu, Chao and Wang, Yu},\n  journal = {arXiv preprint arXiv:2602.04634},\n  year    = {2026},\n}",
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