--- 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](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} } ```