{
 "id": "txie/OpenR1-Math-15k-3072",
 "owner": "txie",
 "name": "OpenR1-Math-15k-3072",
 "downloads": 34,
 "likes": 1,
 "last_modified": "2026-06-10T06:33:15.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
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 "gated": false,
 "tasks": [
  "text-generation"
 ],
 "citation": "Released under **Apache-2.0**, consistent with the upstream `open-r1/OpenR1-Math-220k`.\nThe immediate source [`Elliott/Openr1-Math-46k-8192`](https://huggingface.co/datasets/Elliott/Openr1-Math-46k-8192)\nis distributed under MIT. Please consider also crediting the original OpenR1 authors when using this data.\n\n```bib\n@misc{targetsft2026,\n  title  = {A Unifying Lens on Supervised Fine-Tuning Through Target Distribution Design},\n  author = {Xie, Tong and Ban, Yuanhao and Hong, Yunqi and An, Sohyun and Chen, Yihang and Hsieh, Cho-Jui},\n  year   = {2026},\n  eprint = {2606.11189},\n  url    = {https://arxiv.org/abs/2606.11189}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "fec802f3771bbda6f10d77353337604aae62b6dc",
 "stated_evidence": "https://huggingface.co/datasets/txie/OpenR1-Math-15k-3072/blob/fec802f3771bbda6f10d77353337604aae62b6dc/README.md",
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}