task_categories:question-answering task_categories:text-generation language:en license:mit medical region:us
---
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}
}
```