README.md

metadata

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: 1615888.0491629583
        num_examples: 4012
      - name: test
        num_bytes: 284753.9508370418
        num_examples: 707
    download_size: 1309572
    dataset_size: 1900642
  - config_name: text-corpus
    features:
      - name: passage
        dtype: string
      - name: id
        dtype: int64
    splits:
      - name: test
        num_bytes: 60166919
        num_examples: 40181
    download_size: 35304894
    dataset_size: 60166919
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 a subset of a training dataset by the BioASQ Challenge, which is available here.

It is derived from rag-datasets/rag-mini-bioasq.

Modifications include:

• filling in missing passages (some of them contained "nan" instead of actual text),
• changing relevant_passage_ids' type from string to sequence of ints,
• deduplicating the passages (removed 40 duplicates) and fixing the relevant_passage_ids in QAP triplets to point to the corrected, deduplicated passages' ids,
• splitting QAP triplets into train and test splits.