Sign inGet started
Dataset · Hugging Face

OpenGVLab/GenExam

GenExam: A Multidisciplinary Text-to-Image Exam Zhaokai Wang*, Penghao Yin*, Xiangyu Zhao, Changyao Tian, Yu Qiao, Wenhai Wang, Jifeng Dai, Gen Luo For guidelines on evaluation, please refer to our repo. ⭐️ Introduction Exams are a fundamental test of expert-level intelligence and require integrated understanding, reasoning, and generation. Existing exam-style benchmarks mainly focus on understanding and reasoning tasks, and… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/GenExam.

Author / organizationOpenGVLab
License (as declared)mit
Downloads482 (as reported by Hugging Face)
Likes5
Created16 September 2025
Last updated at source6 October 2025
benchmarktext-to-imagemultidisciplinereasoning
Embed this entry
<iframe src="https://silytics.si/embed/item/6b5971de-7a3e-45d6-9e32-1742b1711019" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

482 now (+15 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from OpenGVLab

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.