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---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: test
path: data/test-*
dataset_info:
features:
- name: instruction
dtype: string
- name: context
dtype: string
- name: response
dtype: string
- name: category
dtype: string
splits:
- name: train
num_bytes: 481270361
num_examples: 272518
- name: test
num_bytes: 1731163
num_examples: 1000
download_size: 275142693
dataset_size: 483001524
license: mit
task_categories:
- question-answering
- text-generation
language:
- en
tags:
- medical
---
# Dataset Card for "PubMedQA_instruction"
This repo contains a [PubMedQA](https://huggingface.co/datasets/pubmed_qa) dataset converted for instruction tuning.
### Citation Information
```tex
@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}
}
``` |