{
 "id": "mrhwl123/DanceTrack",
 "owner": "mrhwl123",
 "name": "DanceTrack",
 "downloads": 74,
 "likes": 0,
 "last_modified": "2026-09-15T09:16:34.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": "https://dancetrack.github.io/",
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{sun2022dance,\r\n  title={DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion},\r\n  author={Sun, Peize and Cao, Jinkun and Jiang, Yi and Yuan, Zehuan and Bai, Song and Kitani, Kris and Luo, Ping},\r\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\r\n  year={2022}\r\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "29d36719edad3901422c5c9cd4f9a17a1b40031e",
 "stated_evidence": "https://huggingface.co/datasets/mrhwl123/DanceTrack/blob/29d36719edad3901422c5c9cd4f9a17a1b40031e/README.md",
 "file_evidence": "https://huggingface.co/datasets/mrhwl123/DanceTrack/tree/29d36719edad3901422c5c9cd4f9a17a1b40031e",
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}