Datasets:
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
100K - 1M
Tags:
biomedical-information-retrieval
citation-prediction-retrieval
passage-retrieval
news-retrieval
argument-retrieval
zero-shot-information-retrieval
License:
metadata
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
paperswithcode_id: beir
pretty_name: BEIR Benchmark
task_categories:
- zero-shot-classification
- text-retrieval
task_ids:
- document-retrieval
- entity-linking-retrieval
- fact-checking-retrieval
tags:
- biomedical-information-retrieval
- citation-prediction-retrieval
- passage-retrieval
- news-retrieval
- argument-retrieval
- zero-shot-information-retrieval
- tweet-retrieval
- question-answering-retrieval
- duplication-question-retrieval
- zero-shot-retrieval
configs:
- config_name: android
data_files:
- split: corpus
path: android/corpus/corpus-*
- split: queries
path: android/queries/queries-*
- config_name: english
data_files:
- split: corpus
path: english/corpus/corpus-*
- split: queries
path: english/queries/queries-*
- config_name: gaming
data_files:
- split: corpus
path: gaming/corpus/corpus-*
- split: queries
path: gaming/queries/queries-*
- config_name: gis
data_files:
- split: corpus
path: gis/corpus/corpus-*
- split: queries
path: gis/queries/queries-*
- config_name: mathematica
data_files:
- split: corpus
path: mathematica/corpus/corpus-*
- split: queries
path: mathematica/queries/queries-*
- config_name: physics
data_files:
- split: corpus
path: physics/corpus/corpus-*
- split: queries
path: physics/queries/queries-*
- config_name: programmers
data_files:
- split: corpus
path: programmers/corpus/corpus-*
- split: queries
path: programmers/queries/queries-*
- config_name: stats
data_files:
- split: corpus
path: stats/corpus/corpus-*
- split: queries
path: stats/queries/queries-*
- config_name: tex
data_files:
- split: corpus
path: tex/corpus/corpus-*
- split: queries
path: tex/queries/queries-*
- config_name: unix
data_files:
- split: corpus
path: unix/corpus/corpus-*
- split: queries
path: unix/queries/queries-*
- config_name: webmasters
data_files:
- split: corpus
path: webmasters/corpus/corpus-*
- split: queries
path: webmasters/queries/queries-*
- config_name: wordpress
data_files:
- split: corpus
path: wordpress/corpus/corpus-*
- split: queries
path: wordpress/queries/queries-*
dataset_info:
- config_name: android
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 8255816
num_examples: 22998
- name: queries
num_bytes: 31997
num_examples: 699
download_size: 8287813
dataset_size: 8287813
- config_name: english
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 12417951
num_examples: 40221
- name: queries
num_bytes: 68095
num_examples: 1570
download_size: 12486046
dataset_size: 12486046
- config_name: gaming
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 14156689
num_examples: 45301
- name: queries
num_bytes: 70040
num_examples: 1595
download_size: 14226729
dataset_size: 14226729
- config_name: gis
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 21024580
num_examples: 37637
- name: queries
num_bytes: 39653
num_examples: 885
download_size: 21064233
dataset_size: 21064233
- config_name: mathematica
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 10765498
num_examples: 16705
- name: queries
num_bytes: 34583
num_examples: 804
download_size: 10800081
dataset_size: 10800081
- config_name: physics
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 18811650
num_examples: 38316
- name: queries
num_bytes: 47465
num_examples: 1039
download_size: 18859115
dataset_size: 18859115
- config_name: programmers
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 20111039
num_examples: 32176
- name: queries
num_bytes: 41633
num_examples: 876
download_size: 20152672
dataset_size: 20152672
- config_name: stats
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 25668372
num_examples: 42269
- name: queries
num_bytes: 30347
num_examples: 652
download_size: 25698719
dataset_size: 25698719
- config_name: tex
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 44756206
num_examples: 68184
- name: queries
num_bytes: 117655
num_examples: 2906
download_size: 44873861
dataset_size: 44873861
- config_name: unix
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 25746785
num_examples: 47382
- name: queries
num_bytes: 47358
num_examples: 1072
download_size: 25794143
dataset_size: 25794143
- config_name: webmasters
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 7353229
num_examples: 17405
- name: queries
num_bytes: 24033
num_examples: 506
download_size: 7377262
dataset_size: 7377262
- config_name: wordpress
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: text
dtype: string
splits:
- name: corpus
num_bytes: 27597725
num_examples: 48605
- name: queries
num_bytes: 24475
num_examples: 541
download_size: 27622200
dataset_size: 27622200
Dataset Card for BEIR Benchmark
Dataset Description
- Homepage: https://beir.ai
- Repository: https://beir.ai
- Paper: https://openreview.net/forum?id=wCu6T5xFjeJ
- Leaderboard: https://docs.google.com/spreadsheets/d/1L8aACyPaXrL8iEelJLGqlMqXKPX2oSP_R10pZoy77Ns
- Point of Contact: nandan.thakur@uwaterloo.ca
Dataset Summary
BEIR is a heterogeneous benchmark built from 18 diverse datasets representing 9 information retrieval tasks.
- Fact-checking: FEVER, Climate-FEVER, SciFact
- Question-Answering: NQ, HotpotQA, FiQA-2018
- Bio-Medical IR: TREC-COVID, BioASQ, NFCorpus
- News Retrieval: TREC-NEWS, Robust04
- Argument Retrieval: Touche-2020, ArguAna
- Duplicate Question Retrieval: Quora, CqaDupstack
- Citation-Prediction: SCIDOCS
- Tweet Retrieval: Signal-1M
- Entity Retrieval: DBPedia
This
cqadupstacksubset is the Duplicate Question Retrieval task within BEIR, with 12 domains.
Languages
All tasks are in English (en).
Dataset Structure
This dataset uses the standard BEIR retrieval layout with 12 domain configs:
android, english, gaming, gis, mathematica, physics, programmers, stats, tex, unix, webmasters, wordpress.
Each config includes:
corpus: one row per document with_id,title,textqueries: one row per query with_id,title,text
Data Fields
_id(string): unique identifiertitle(string): title (empty string when unavailable)text(string): document/query text
CQADupstack Data Splits
| Domain | Split | Rows |
|---|---|---|
android |
corpus | 22,998 |
android |
queries | 699 |
english |
corpus | 40,221 |
english |
queries | 1,570 |
gaming |
corpus | 45,301 |
gaming |
queries | 1,595 |
gis |
corpus | 37,637 |
gis |
queries | 885 |
mathematica |
corpus | 16,705 |
mathematica |
queries | 804 |
physics |
corpus | 38,316 |
physics |
queries | 1,039 |
programmers |
corpus | 32,176 |
programmers |
queries | 876 |
stats |
corpus | 42,269 |
stats |
queries | 652 |
tex |
corpus | 68,184 |
tex |
queries | 2,906 |
unix |
corpus | 47,382 |
unix |
queries | 1,072 |
webmasters |
corpus | 17,405 |
webmasters |
queries | 506 |
wordpress |
corpus | 48,605 |
wordpress |
queries | 541 |
Citation Information
@inproceedings{
thakur2021beir,
title={{BEIR}: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models},
author={Nandan Thakur and Nils Reimers and Andreas R{\"u}ckl{\'e} and Abhishek Srivastava and Iryna Gurevych},
booktitle={Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)},
year={2021},
url={https://openreview.net/forum?id=wCu6T5xFjeJ}
}