Datasets:
metadata
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, 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) and changing relevant_passage_ids
' type from string to sequence of ints.