---
language:
- it
dataset_info:
  features:
  - name: id
    dtype: string
  - name: question
    dtype: string
  - name: opa
    dtype: string
  - name: opb
    dtype: string
  - name: opc
    dtype: string
  - name: opd
    dtype: string
  - name: cop
    dtype:
      class_label:
        names:
          '0': a
          '1': b
          '2': c
          '3': d
  - name: choice_type
    dtype: string
  - name: exp
    dtype: string
  - name: subject_name
    dtype: string
  - name: topic_name
    dtype: string
  splits:
  - name: test
    num_bytes: 1510301
    num_examples: 6150
  - name: validation
    num_bytes: 2469102
    num_examples: 4183
  - name: train
    num_bytes: 143781256
    num_examples: 182822
  download_size: 94116148
  dataset_size: 147760659
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
  - split: validation
    path: data/validation-*
  - split: train
    path: data/train-*
task_categories:
- question-answering
tags:
- medical
pretty_name: MedMCQA-ITA
size_categories:
- 100K<n<1M
---

**MedMCQA-ITA** is the **Italian version**, automatically translated, of a large-scale, **Multiple-Choice Question Answering (MCQA)** dataset designed to address realworld medical entrance exam questions.

The MedMCQA task can be formulated as X = {Q, O} where Q represents the questions in the text, O represents the candidate options, multiple candidate answers are given for each question O = {O_1, O_2, ..., O_n}. The goal is to select the single or multiple answers from the option set.

Original dataset can be found [here](https://medmcqa.github.io/).

Related paper: https://arxiv.org/abs/2407.06011