Datasets:
Modalities:
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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:
File size: 9,769 Bytes
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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
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- name: queries
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dataset_size: 8287813
- config_name: english
features:
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dtype: string
- name: title
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- name: text
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- config_name: gaming
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- name: title
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- name: text
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- config_name: gis
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- config_name: mathematica
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- config_name: physics
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- config_name: programmers
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- config_name: stats
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- config_name: unix
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- name: queries
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- config_name: webmasters
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- config_name: wordpress
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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](http://fever.ai), [Climate-FEVER](http://climatefever.ai), [SciFact](https://github.com/allenai/scifact)
- Question-Answering: [NQ](https://ai.google.com/research/NaturalQuestions), [HotpotQA](https://hotpotqa.github.io), [FiQA-2018](https://sites.google.com/view/fiqa/)
- Bio-Medical IR: [TREC-COVID](https://ir.nist.gov/covidSubmit/index.html), [BioASQ](http://bioasq.org), [NFCorpus](https://www.cl.uni-heidelberg.de/statnlpgroup/nfcorpus/)
- News Retrieval: [TREC-NEWS](https://trec.nist.gov/data/news2019.html), [Robust04](https://trec.nist.gov/data/robust/04.guidelines.html)
- Argument Retrieval: [Touche-2020](https://webis.de/events/touche-20/shared-task-1.html), [ArguAna](tp://argumentation.bplaced.net/arguana/data)
- Duplicate Question Retrieval: [Quora](https://www.quora.com/q/quoradata/First-Quora-Dataset-Release-Question-Pairs), [CqaDupstack](http://nlp.cis.unimelb.edu.au/resources/cqadupstack/)
- Citation-Prediction: [SCIDOCS](https://allenai.org/data/scidocs)
- Tweet Retrieval: [Signal-1M](https://research.signal-ai.com/datasets/signal1m-tweetir.html)
- Entity Retrieval: [DBPedia](https://github.com/iai-group/DBpedia-Entity/)
> **This `cqadupstack` subset 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`, `text`
- `queries`: one row per query with `_id`, `title`, `text`
### Data Fields
- `_id` (`string`): unique identifier
- `title` (`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
```bibtex
@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}
}
```
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