{
 "id": "alibabagroup/terminal-bench-pro",
 "owner": "alibabagroup",
 "name": "terminal-bench-pro",
 "downloads": 9431,
 "likes": 5,
 "last_modified": "2026-01-05T22:15:49.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
  "reinforcement-learning",
  "question-answering"
 ],
 "citation": "@misc{wang2025letflowagenticcrafting,\n      title={Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem}, \n      author={Weixun Wang and XiaoXiao Xu and Xander Xu and others},\n      year={2025},\n      eprint={2512.24873},\n      archivePrefix={arXiv},\n      primaryClass={cs.AI},\n      url={https://arxiv.org/abs/2512.24873}, \n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive."
}