This dataset contains 31,535 medical question-answer pairs with stenographic reasoning traces, generated using MiniMax M2.1 from the original UCSC-VLAA/MedReason dataset.
The dataset transforms medical QA reasoning into a stenographic format using a symbolic protocol designed for high-density, machine-parseable reasoning traces. This format eliminates natural language filler while… See the full description on the dataset page:
https://huggingface.co/datasets/openmed-community/MedReason-Stenographic.
