| 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 | |
| language: | |
| - it | |
| 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/). |