rohan2810/medmcqa50

MedMCQA-50 This dataset expands rohan2810/medmcqa from 20 to 50 candidates per example for finite-pool preference-optimization experiments. Construction For every example, all unique candidates in the original 20-entry pool are preserved. Duplicate answer strings in the source are collapsed while retaining their first occurrence. Additional distractors are sampled deterministically from the 172,635-answer source candidate universe using seed 1958 until each row… See the full description on the dataset page: https://huggingface.co/datasets/rohan2810/medmcqa50.