README.md

metadata

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 dataset converted for instruction tuning.

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}
}