MedPMC WebDataset MedPMC is a large scale medical image text dataset curated from articles in the PubMed Central (PMC) collection. This release contains approximately 11 million image text pairs collected from the June 2024 PMC baseline. MedPMC is an ongoing effort, and future releases will continue to expand the dataset with newly published literature, improved annotations, and additional resources. This dataset is presented in the paper MedPMC: A Systematic Framework for Scaling High Fidelity Medical Multimodal Data for Foundation Models. Code: GitHub Yale BIDS Chen Lab/MedPMC Compared with raw PMC resources, MedPMC introduces two major improvements. (1) Medical image curation MedPMC focuses on clinically relevant visual content by filtering out non medical figures such as charts, plots, tables, workflow diagrams, and other non image materials. The dataset covers a broad range of medical specialties and imaging modalities, including radiology, pathology, ophthalmology, dermatology, endoscopy, microscopy, and clinical photography. (2) Multi panel figure processing Biomedical publications often combine multiple related images into a single figure. Unlike most medical AI datasets, w…
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