{
 "id": "OpenTSLab/MMTA-v1.0",
 "owner": "OpenTSLab",
 "name": "MMTA-v1.0",
 "downloads": 857,
 "likes": 0,
 "last_modified": "2026-10-19T05:23:05.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "mmta-component-specific",
 "licence_link": null,
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "other"
 ],
 "citation": "@inproceedings{zhang2026mmta,\n  title = {MMTA: Benchmarking Multimodal Temporal Analysis with Time Series, Text, and Vision},\n  author = {Zhang, Ziyang and Li, Shenyi and Wang, Yilin and Cui, Ziyun and Zhou, Bowen and Wu, Wen and Zhang, Chao},\n  booktitle = {Advances in Neural Information Processing Systems},\n  year = {2026},\n  note = {Evaluations and Datasets Track},\n  url = {https://openreview.net/forum?id=2dYNGCZQj9}\n}",
 "signal": "conflict",
 "reason": "The custom licence described in the dataset card and the licence detected in a repository file (cc-by-4.0) fall into different categories, so the licences may conflict.",
 "revision": "ed46cd76d8e224f30b455045019a74ee59493652",
 "stated_evidence": "https://huggingface.co/datasets/OpenTSLab/MMTA-v1.0/blob/ed46cd76d8e224f30b455045019a74ee59493652/README.md",
 "file_evidence": "https://huggingface.co/datasets/OpenTSLab/MMTA-v1.0/blob/ed46cd76d8e224f30b455045019a74ee59493652/LICENSE",
 "card_nc": true
}