{
 "id": "aimagelab/CounterVid",
 "owner": "aimagelab",
 "name": "CounterVid",
 "downloads": 351,
 "likes": 0,
 "last_modified": "2026-08-26T16:08:00.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "visual-question-answering"
 ],
 "citation": "@inproceedings{poppi2026countervid,\n  title     = {{CounterVid}: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models},\n  author    = {Poppi, Tobia and Uzkent, Burak and Garg, Amanmeet and Porto, Lucas and Kessler, Garin and Yang, Yezhou and Cornia, Marcella and Baraldi, Lorenzo and Cucchiara, Rita and Schiffers, Florian},\n  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},\n  year      = {2026}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "a44b933c4e668566cda06ec683bbc8030c83166c",
 "stated_evidence": "https://huggingface.co/datasets/aimagelab/CounterVid/blob/a44b933c4e668566cda06ec683bbc8030c83166c/README.md",
 "file_evidence": "https://huggingface.co/datasets/aimagelab/CounterVid/tree/a44b933c4e668566cda06ec683bbc8030c83166c",
 "card_nc": false
}