{
 "id": "Time-MQA/TSQA",
 "owner": "Time-MQA",
 "name": "TSQA",
 "downloads": 181,
 "likes": 19,
 "last_modified": "2025-09-10T13:37:13.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "question-answering",
  "time-series-forecasting"
 ],
 "citation": "If you're using TSQA dataset in your research or applications, please cite it using this BibTeX:\n\n**BibTeX:**\n\n```markdown\n@inproceedings{kong2025time,\n  title={Time-MQA: Time Series Multi-Task Question Answering with Context Enhancement},\n  author={Kong, Yaxuan and Yang, Yiyuan and Hwang, Yoontae and Du, Wenjie and Zohren, Stefan and Wang, Zhangyang and Jin, Ming and Wen, Qingsong},\n  booktitle={Proceedings of the 63nd Annual Meeting of the Association for Computational Linguistics},\n  year={2025}\n}\n```",
 "signal": "permissive",
 "reason": "The declared licence (apache-2.0) is classified as permissive.",
 "revision": "a7f9e95667b695d2647b9eff92bb6a38b5183a34",
 "stated_evidence": "https://huggingface.co/datasets/Time-MQA/TSQA/blob/a7f9e95667b695d2647b9eff92bb6a38b5183a34/README.md",
 "file_evidence": "https://huggingface.co/datasets/Time-MQA/TSQA/tree/a7f9e95667b695d2647b9eff92bb6a38b5183a34",
 "card_nc": false
}