{
 "id": "lmms-lab-encoder/ChartQA",
 "owner": "lmms-lab-encoder",
 "name": "ChartQA",
 "downloads": 16706,
 "likes": 27,
 "last_modified": "2024-03-08T05:04:43.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@article{masry2022chartqa,\n  title={ChartQA: A benchmark for question answering about charts with visual and logical reasoning},\n  author={Masry, Ahmed and Long, Do Xuan and Tan, Jia Qing and Joty, Shafiq and Hoque, Enamul},\n  journal={arXiv preprint arXiv:2203.10244},\n  year={2022}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "9e63b7df1592a1c2158e735cc1725454aef0d6d9",
 "stated_evidence": "https://huggingface.co/datasets/lmms-lab-encoder/ChartQA/blob/9e63b7df1592a1c2158e735cc1725454aef0d6d9/README.md",
 "file_evidence": "https://huggingface.co/datasets/lmms-lab-encoder/ChartQA/tree/9e63b7df1592a1c2158e735cc1725454aef0d6d9",
 "card_nc": false
}