{
 "id": "OpenMOSS-Team/GameQA-140K",
 "owner": "OpenMOSS-Team",
 "name": "GameQA-140K",
 "downloads": 1242,
 "likes": 23,
 "last_modified": "2026-10-02T09:06:17.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
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 "file_licence": null,
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 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering",
  "image-text-to-text"
 ],
 "citation": "@inproceedings{ICLR2026_3ad98e63,\n  author = {Tong, Jingqi and Tang, Jixin and Li, Hangcheng and Mou, Yurong and Zhang, Ming and Zhao, Jun and Wen, Yanbo and Song, Fan and Zhan, Jiahao and Lu, Yuyang and others},\n  booktitle = {International Conference on Learning Representations},\n  editor = {C. Vondrick and B. Hariharan and C. Raffel and L. Pinto and D. Yang and A. Faust},\n  pages = {34689--34755},\n  title = {Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning},\n  url = {https://proceedings.iclr.cc/paper_files/paper/2026/file/3ad98e6306c5ed8a228b7240152f65af-Paper-Conference.pdf},\n  volume = {2026},\n  year = {2026}\n}",
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 "revision": "47fb49645e94a370d5b68a45d986b0a951bbd783",
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}