Datasets:
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: 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 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
)