MIDAL: A Dataset of Math Image Descriptions for Accessible Learning
Many open educational resources are lacking in accessibility, especially in-depth image descriptions. In subjects like Science and Mathematics, however, it can be particularly difficult to write image descriptions since there can be many complicated expressions and names depending upon the course level. To help fill that gap in a small way, we introduce Math Image Descriptions for Accessible Learning (MIDAL), a math image-description dataset of 2,020 mathematical images spanning multiple educational levels, to aid in training vision language models to create image descriptions following accessibility best practices. We hope MIDAL is a valuable resource in enhancing the conversation and in...
| Authors | Rebeka Popek, Vaghawan Ojha, Young Hwan You |
|---|---|
| Primary category | cs.CV |
| Published | 1 August 2026 |
| Last updated at source | 4 August 2026 |
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