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RadImageNet-VQA contains 750,000 CT and MRI images paired with 7.5 million generated visual question answering samples and 750,000 medical captions. Developed by Raidium and updated in late 2025, the dataset is built upon expert-curated anatomical and pathological annotations from the RadImageNet corpus.
The dataset is distributed in Parquet format and licensed under Apache 2.0.