{
 "id": "microsoft/MILP-Evolve",
 "owner": "microsoft",
 "name": "MILP-Evolve",
 "downloads": 2170,
 "likes": 9,
 "last_modified": "2025-03-20T19:02:28.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "You can find our paper at [ArXiv](https://arxiv.org/abs/2410.08288), [Openreview](https://openreview.net/forum?id=6yENDA7J4G). Please cite our paper when using the dataset:\n```latex\n@article{li2024towards,\n  author    = {Li, Sirui and Kulkarni, Janardhan and Wu, Cathy and Menache, Ishai and Li, Beibin},\n  title     = {Towards Foundation Models for Mixed Integer Linear Programming},\n  booktitle = {The Thirteenth International Conference on Learning Representations},\n  year      = {2025}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "da79fb9d63e53023ee004563700aded076cf9ba0",
 "stated_evidence": "https://huggingface.co/datasets/microsoft/MILP-Evolve/blob/da79fb9d63e53023ee004563700aded076cf9ba0/README.md",
 "file_evidence": "https://huggingface.co/datasets/microsoft/MILP-Evolve/tree/da79fb9d63e53023ee004563700aded076cf9ba0",
 "card_nc": false
}