---
dataset_info:
- config_name: question-answer-passages
  features:
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: id
    dtype: int64
  - name: relevant_passage_ids
    sequence: int64
  splits:
  - name: train
    num_bytes: 1900746
    num_examples: 4719
  download_size: 1280794
  dataset_size: 1900746
- config_name: text-corpus
  features:
  - name: passage
    dtype: string
  - name: id
    dtype: int64
  splits:
  - name: train
    num_bytes: 60184778
    num_examples: 40221
  download_size: 35288127
  dataset_size: 60184778
configs:
- config_name: question-answer-passages
  data_files:
  - split: train
    path: question-answer-passages/train-*
- config_name: text-corpus
  data_files:
  - split: train
    path: text-corpus/train-*
license: cc-by-2.5
task_categories:
- question-answering
- sentence-similarity
language:
- en
tags:
- biology
- medical
- rag
---
This dataset is a subset of a training dataset by [the BioASQ Challenge](http://www.bioasq.org/), which is available [here](http://participants-area.bioasq.org/Tasks/11b/trainingDataset/).

It is derived from [`rag-datasets/rag-mini-bioasq`](https://huggingface.co/datasets/rag-datasets/rag-mini-bioasq).

Modifications include filling in missing passages (some of them contained `"nan"` instead of actual text) and changing `relevant_passage_ids`' type from string to sequence of ints.