Dataset · Hugging Face

UniParser/MolGallery

Name: MolGallery
Creator: UniParser
License: cc-by-nc-sa-4.0
Keywords: task_categories:image-to-text, license:cc-by-nc-sa-4.0, size_categories:10M<n<100M, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2411.11098, arxiv:2609.05807, arxiv:2512.15098, region:us, chemistry

MolGallery: A 10 Million-Scale Real-World Dataset for Optical Chemical Structure Recognition Dataset Summary MolGallery is a large-scale dataset containing 10 million chemical structure images sourced from real-world documents, including patents, scientific literature, books and website. Unlike synthetic datasets, MolGallery captures the complex noise, diverse rendering styles, and scanning artifacts found in genuine chemical documents. The labels are provided in… See the full description on the dataset page: https://huggingface.co/datasets/UniParser/MolGallery.

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Author / organization	UniParser
License (as declared)	cc-by-nc-sa-4.0
Downloads	166 (as reported by Hugging Face)
Likes	5
Created	13 March 2026
Last updated at source	9 September 2026

chemistry

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