kzhang20/MedicalNarratives

MedicalNarratives Dataset Summary MedicalNarratives is a large-scale, multimodal medical vision–language corpus built from pedagogical videos and scientific articles. It is designed to unify semantic (classification, retrieval, captioning) and dense (detection, segmentation, grounding) tasks across clinical imaging. Key properties: 4.7M image–text pairs ≈1M samples with cursor-trace or bounding-box spatial grounding 12 imaging domains including X-ray, CT, MRI… See the full description on the dataset page: https://huggingface.co/datasets/kzhang20/MedicalNarratives.