OmniMedVQA (mtybilly v2)

OmniMedVQA — Granular Subsets (v2) OmniMedVQA is a large-scale medical visual question answering benchmark covering 12 imaging modalities and 5 clinical question types. This v2 release replaces the coarse modality and question type configs with 13 granular named configs (mod- and qt- ) whose train/test boundaries follow Med-R1’s partitioning. Images are sourced from the canonical foreverbeliever/OmniMedVQA release; restricted-access images (those not distributed in the open-access… See the full description on the dataset page:

Source: Hugging Face Hub (mtybilly/OmniMedVQA-V2). Metadata imported from the dataset’s Hub tags.