{
 "id": "OpenGVLab/GenExam",
 "owner": "OpenGVLab",
 "name": "GenExam",
 "downloads": 546,
 "likes": 5,
 "last_modified": "2025-10-06T19:13:40.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-to-image"
 ],
 "citation": "@article{GenExam,\n  title={GenExam: A Multidisciplinary Text-to-Image Exam},\n  author = {Wang, Zhaokai and Yin, Penghao and Zhao, Xiangyu and Tian, Changyao and Qiao, Yu and Wang, Wenhai and Dai, Jifeng and Luo, Gen},\n  journal={arXiv preprint arXiv:2509.14232},\n  year={2025}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "0782259dc19f6528a0b02268afccb85e0a2495ad",
 "stated_evidence": "https://huggingface.co/datasets/OpenGVLab/GenExam/blob/0782259dc19f6528a0b02268afccb85e0a2495ad/README.md",
 "file_evidence": "https://huggingface.co/datasets/OpenGVLab/GenExam/tree/0782259dc19f6528a0b02268afccb85e0a2495ad",
 "card_nc": false
}