{
 "id": "mlcglab/synwts",
 "owner": "mlcglab",
 "name": "synwts",
 "downloads": 136,
 "likes": 12,
 "last_modified": "2026-08-05T21:29:13.000Z",
 "stated_licence": "cc-by-sa-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [
  {
   "id": "WTS (Woven Traffic Safety)",
   "licence": null,
   "found": false,
   "evidence": null
  }
 ],
 "gated": "auto",
 "tasks": [
  "visual-question-answering",
  "video-classification",
  "question-answering",
  "text-generation",
  "video-text-to-text"
 ],
 "citation": "@InProceedings{PatilAICity26,\n  author    = {Dhanishtha Patil and Ridham Kachhadiya and Andrew Vattuone and Haoquan Liang and Jiajun Li and Yuxing Wang and Zheng Tang and Ashutosh Kumar and Quan Kong and David C. Anastasiu},\n  title     = {{SynWTS}: Multi-View Digital-Twin Dataset for Synthetic-to-Real\n  Traffic Safety Understanding},\n  booktitle = {ECCV Workshops},\n  month     = 9,\n  year      = 2026,\n  address   = {Malm{\"o}, Sweden}\n}\n\n@article{kong2024wts,\n  title={WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding},\n  author={Kong, Quan and Kumar, Ashutosh and others},\n  journal={arXiv preprint arXiv:2407.15350},\n  year={2024}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID for at least one declared source dataset.",
 "revision": "3c57d64f8603441b43f69dca9a123999776bc014",
 "stated_evidence": "https://huggingface.co/datasets/mlcglab/synwts/blob/3c57d64f8603441b43f69dca9a123999776bc014/README.md",
 "file_evidence": "https://huggingface.co/datasets/mlcglab/synwts/tree/3c57d64f8603441b43f69dca9a123999776bc014",
 "card_nc": false
}