A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
-
Updated
Nov 28, 2022 - Jupyter Notebook
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
Source code for our "MMM" paper at AAAI 2020
Repository for My HuggingFace Natural Language Processing Projects
Add a description, image, and links to the multiple-choice-question-answering topic page so that developers can more easily learn about it.
To associate your repository with the multiple-choice-question-answering topic, visit your repo's landing page and select "manage topics."