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:
| 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 | |
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| 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: | |
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| - name: queries | |
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| num_examples: 1570 | |
| download_size: 12486046 | |
| dataset_size: 12486046 | |
| - config_name: gaming | |
| features: | |
| - name: _id | |
| dtype: string | |
| - name: title | |
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| - name: queries | |
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| num_examples: 1595 | |
| download_size: 14226729 | |
| dataset_size: 14226729 | |
| - config_name: gis | |
| features: | |
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| dtype: string | |
| - name: title | |
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| splits: | |
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| num_examples: 37637 | |
| - name: queries | |
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| download_size: 21064233 | |
| dataset_size: 21064233 | |
| - config_name: mathematica | |
| features: | |
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| num_examples: 16705 | |
| - name: queries | |
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| num_examples: 804 | |
| download_size: 10800081 | |
| dataset_size: 10800081 | |
| - config_name: physics | |
| features: | |
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| dtype: string | |
| - name: title | |
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| - name: corpus | |
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| num_examples: 38316 | |
| - name: queries | |
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| num_examples: 1039 | |
| download_size: 18859115 | |
| dataset_size: 18859115 | |
| - config_name: programmers | |
| features: | |
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| - name: queries | |
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| download_size: 20152672 | |
| dataset_size: 20152672 | |
| - config_name: stats | |
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| - name: queries | |
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| num_examples: 652 | |
| download_size: 25698719 | |
| dataset_size: 25698719 | |
| - config_name: tex | |
| features: | |
| - name: _id | |
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| - name: queries | |
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| download_size: 44873861 | |
| dataset_size: 44873861 | |
| - config_name: unix | |
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| dataset_size: 25794143 | |
| - config_name: webmasters | |
| features: | |
| - name: _id | |
| dtype: string | |
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| - name: queries | |
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| num_examples: 506 | |
| download_size: 7377262 | |
| dataset_size: 7377262 | |
| - config_name: wordpress | |
| features: | |
| - name: _id | |
| dtype: string | |
| - name: title | |
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| - name: corpus | |
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| 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](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} | |
| } | |
| ``` | |