# Preprint releases panel-level materials-science image-text dataset

_Monday, August 24, 2026 at 12:00 AM EDT · Science, AI · Latest · Tier 2 — Notable_

A new arXiv preprint describes MatMMExtract, an open-source pipeline for splitting compound materials-science figures into annotated sub-panels. Applied to 14,810 open-access articles, the authors say it produced MatSciFig, containing 391,606 image-text pairs from 180,571 figures. The paper also introduces a 2,811-figure detection dataset and reports that a dual-encoder retrieval baseline improved R@1 by 4.4 times over zero-shot CLIP. The resources are released openly, according to the preprint.

## Sources

- [cs.AI updates on arXiv.org](https://arxiv.org/abs/2606.29667)

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