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.
