{
 "id": "Time-RA/RATs40K",
 "owner": "Time-RA",
 "name": "RATs40K",
 "downloads": 100,
 "likes": 9,
 "last_modified": "2026-01-11T14:50:47.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "time-series-forecasting"
 ],
 "citation": "If you use RATS40K or the TIME-RA framework in your research, please cite:\n\n```bibtex\n@article{yang2026timera,\n  title={TIME-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback},\n  author={Yang, Yiyuan and Liu, Zichuan and Song, Lei and Ying, Kai and Wang, Zhiguang and Bamford, Tom and Vyetrenko, Svitlana and Bian, Jiang and Wen, Qingsong},\n  journal={arXiv preprint arXiv:2507.15066},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "dc968d6a88f396215be50023c93c3928e06096df",
 "stated_evidence": "https://huggingface.co/datasets/Time-RA/RATs40K/blob/dc968d6a88f396215be50023c93c3928e06096df/README.md",
 "file_evidence": "https://huggingface.co/datasets/Time-RA/RATs40K/tree/dc968d6a88f396215be50023c93c3928e06096df",
 "card_nc": false
}