{
 "id": "lmms-lab-encoder/VizWiz-VQA",
 "owner": "lmms-lab-encoder",
 "name": "VizWiz-VQA",
 "downloads": 8519,
 "likes": 9,
 "last_modified": "2024-03-08T05:11:16.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{gurari2018vizwiz,\n  title={Vizwiz grand challenge: Answering visual questions from blind people},\n  author={Gurari, Danna and Li, Qing and Stangl, Abigale J and Guo, Anhong and Lin, Chi and Grauman, Kristen and Luo, Jiebo and Bigham, Jeffrey P},\n  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n  pages={3608--3617},\n  year={2018}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "d428a2dae984f79cf1b9d99467dfa883e0c30686",
 "stated_evidence": "https://huggingface.co/datasets/lmms-lab-encoder/VizWiz-VQA/blob/d428a2dae984f79cf1b9d99467dfa883e0c30686/README.md",
 "file_evidence": "https://huggingface.co/datasets/lmms-lab-encoder/VizWiz-VQA/tree/d428a2dae984f79cf1b9d99467dfa883e0c30686",
 "card_nc": false
}