{
 "id": "LabMem012/LogiOR",
 "owner": "LabMem012",
 "name": "LogiOR",
 "downloads": 148,
 "likes": 4,
 "last_modified": "2026-07-06T03:25:48.000Z",
 "stated_licence": "cc-by-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "If this dataset contributes to your work, please cite as:\n\n```txt\n@article{yang2026orthought,\n  title={ORThought: Benchmarking and automating logistics optimization modeling via structured LLM reasoning},\n  author={Yang, Beinuo and Zhou, Qishen and Li, Junyi and Su, Chenxing and Angeloudis, Panagiotis and Hu, Simon},\n  journal={Artificial Intelligence for Transportation},\n  volume={6},\n  pages={100059},\n  year={2026},\n  publisher={Elsevier}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (cc-by-4.0) is classified as permissive.",
 "revision": "53293354e70dfe6e9d05876d249075fe890828e5",
 "stated_evidence": "https://huggingface.co/datasets/LabMem012/LogiOR/blob/53293354e70dfe6e9d05876d249075fe890828e5/README.md",
 "file_evidence": "https://huggingface.co/datasets/LabMem012/LogiOR/tree/53293354e70dfe6e9d05876d249075fe890828e5",
 "card_nc": false
}