---
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.