{
 "id": "Babelscape/PDDL2PRM",
 "owner": "Babelscape",
 "name": "PDDL2PRM",
 "downloads": 179,
 "likes": 1,
 "last_modified": "2026-06-23T12:52:20.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-classification",
  "reinforcement-learning"
 ],
 "citation": "If you use PDDL2PRM, please cite:\n\n```bibtex\n@inproceedings{prmsmeetplanning2026,\n  title={Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards},\n  author={Pisano, Raffaele and Navigli, Roberto},\n  booktitle={Proceedings of ACL 2026},\n  year={2026}\n}",
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 "reason": "The declared licence (cc-by-sa-4.0) is classified as share-alike.",
 "revision": "7456d022578864f2a7564ef4e72e5fd1646f9c51",
 "stated_evidence": "https://huggingface.co/datasets/Babelscape/PDDL2PRM/blob/7456d022578864f2a7564ef4e72e5fd1646f9c51/README.md",
 "file_evidence": "https://huggingface.co/datasets/Babelscape/PDDL2PRM/tree/7456d022578864f2a7564ef4e72e5fd1646f9c51",
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}