mtybilly/OmniMedVQA-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… See the full description on the dataset page: https://huggingface.co/datasets/mtybilly/OmniMedVQA-V2.
| Author / organization | mtybilly |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 681 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 17 April 2026 |
| Last updated at source | 18 April 2026 |
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Recent changes
- 17 Oct 2026 Description: 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 → 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
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