metadata

license: agpl-3.0
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: val
        path: data/val-*
      - split: test
        path: data/test-*
dataset_info:
  features:
    - name: input
      dtype: string
  splits:
    - name: train
      num_bytes: 136602851.95652175
      num_examples: 7260
    - name: val
      num_bytes: 17065948.584650856
      num_examples: 907
    - name: test
      num_bytes: 17084764.40447958
      num_examples: 908
  download_size: 82888007
  dataset_size: 170753564.9456522
task_categories:
  - text-generation
  - question-answering
  - summarization
language:
  - en
tags:
  - biology
  - biomedicine
pretty_name: PubMed Referenced Question Answering Dataset
size_categories:
  - 1K<n<10K

Dataset description

The PQAref dataset is a dataset for fine-tuning large language models for referenced question-answering in biomedical domain.

The dataset contains 3 components:

Instruction - question that is supposed to be answered
Abstracts - set of 10 relevant abstracts retrieved by IR system from PubMed, containing PubMed id, abstract title and the content of the abstract
Answer - expected answer, with references

The dataset was created semi-automatically, utilizing questions available from PubMedQA dataset.