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--- |
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language: |
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- it |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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- name: question |
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dtype: string |
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- name: opa |
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dtype: string |
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- name: opb |
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dtype: string |
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- name: opc |
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dtype: string |
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- name: opd |
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dtype: string |
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- name: cop |
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dtype: |
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class_label: |
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names: |
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'0': a |
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'1': b |
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'2': c |
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'3': d |
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- name: choice_type |
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dtype: string |
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- name: exp |
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dtype: string |
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- name: subject_name |
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dtype: string |
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- name: topic_name |
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dtype: string |
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splits: |
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- name: test |
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num_bytes: 1510301 |
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num_examples: 6150 |
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- name: validation |
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num_bytes: 2469102 |
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num_examples: 4183 |
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- name: train |
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num_bytes: 143781256 |
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num_examples: 182822 |
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download_size: 94116148 |
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dataset_size: 147760659 |
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configs: |
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- config_name: default |
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data_files: |
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- split: test |
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path: data/test-* |
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- split: validation |
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path: data/validation-* |
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- split: train |
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path: data/train-* |
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task_categories: |
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- question-answering |
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tags: |
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- medical |
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pretty_name: MedMCQA-ITA |
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size_categories: |
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- 100K<n<1M |
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--- |
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**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. |
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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. |
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Original dataset can be found [here](https://medmcqa.github.io/). |
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Related paper: https://arxiv.org/abs/2407.06011 |
