metadata
dataset_info:
features:
- name: instruction
dtype: string
- name: input
dtype: string
- name: output
dtype: string
license: apache-2.0
task_categories:
- text-generation
- question-answering
language:
- en
size_categories:
- 10K<n<100K
tags:
- medical
This dataset is a subset of https://github.com/pubmedqa/pubmedqa.
The training set is composed of 10,000 examples of the PQA-U dataset and the test set is composed of 1,000 examples of the PQA-L dataset.
Citation Information
@inproceedings{jin2019pubmedqa,
title={PubMedQA: A Dataset for Biomedical Research Question Answering},
author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua},
booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
pages={2567--2577},
year={2019}
}