README.md

---
language:
- en
license: cc-by-2.5
task_categories:
- question-answering
- sentence-similarity
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: 1630368
    num_examples: 4012
  - name: test
    num_bytes: 270274
    num_examples: 707
  download_size: 1309572
  dataset_size: 1900642
- config_name: text-corpus
  features:
  - name: passage
    dtype: string
  - name: id
    dtype: int64
  - name: authors
    sequence: string
  - name: publish_year
    dtype: int64
  - name: no_pages
    dtype: int64
  - name: keywords
    sequence: string
  - name: country
    dtype: string
  - name: publish_type
    sequence: string
  splits:
  - name: test
    num_bytes: 78569438
    num_examples: 40181
  download_size: 42283621
  dataset_size: 78569438
configs:
- config_name: question-answer-passages
  data_files:
  - split: train
    path: question-answer-passages/train-*
  - split: test
    path: question-answer-passages/test-*
- config_name: text-corpus
  data_files:
  - split: test
    path: text-corpus/test-*
tags:
- biology
- medical
- rag
---
This dataset is an extension of the [rag-mini-bioasq](https://huggingface.co/datasets/enelpol/rag-mini-bioasq) dataset.

Its difference resides in the `text-corpus` part of the aforementioned set where the metadata was added for each passage.

Metadata contains six separate categories, each in a dedicated column:
- Year of the publication (`publish_year`)
- Type of the publication  (`publish_type`)
- Country of the publication - often correlated with the homeland of the authors (`country`)
- Number of pages (`no_pages`)
- Authors (`authors`)
- Keywords (`keywords`)