{
 "id": "kagnlp/TimeSpot",
 "owner": "kagnlp",
 "name": "TimeSpot",
 "downloads": 90,
 "likes": 1,
 "last_modified": "2026-06-05T06:59:03.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-text-to-text"
 ],
 "citation": "@inproceedings{\nwasi2026timespot,\ntitle={TimeSpot: Benchmarking Geo-Temporal Understanding in Vision{\\textendash}Language Models in Real-World Settings},\nauthor={Azmine Toushik Wasi and Shahriyar Zaman Ridoy and Koushik Ahamed Tonmoy and Kinga Tshering and S. M. Muhtasimul Hasan and Wahid Faisal and Tasnim Mohiuddin and Md Rizwan Parvez},\nbooktitle={Forty-third International Conference on Machine Learning (ICML 2026)},\nyear={2026},\nurl={https://openreview.net/forum?id=XQlUqVCHJd}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "976198f57d805ad6acb7d88854782b790ae47794",
 "stated_evidence": "https://huggingface.co/datasets/kagnlp/TimeSpot/blob/976198f57d805ad6acb7d88854782b790ae47794/README.md",
 "file_evidence": "https://huggingface.co/datasets/kagnlp/TimeSpot/tree/976198f57d805ad6acb7d88854782b790ae47794",
 "card_nc": false
}