OpenMedReason
Scientific Reasoning Supervision for Medical Vision-Language Models
Medical visual question answering with structured, image-grounded chain-of-thought. Each
example pairs a biomedical image with a multiple-choice question and a reference reasoning
trace that moves from visual evidence → medical knowledge → clinical reasoning → answer.
The held-out test split adds a per-example unit-question rubric to measure how a
model… See the full description on the dataset page: https://huggingface.co/datasets/neginb/OpenMedReason.
