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BEIR (Benchmarking IR)
- opendatalab.com
zipUpdated Sep 29, 2022
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EmailClick to copy linkLink copiedCiteTechnical University of Darmstadt (2022). BEIR (Benchmarking IR) [Dataset]. https://opendatalab.com/OpenDataLab/BEIRzipAvailable download formatsDataset updatedSep 29, 2022Dataset provided byTechnical University of DarmstadtLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionBEIR (Benchmarking IR) is an heterogeneous benchmark containing different information retrieval (IR) tasks. Through BEIR, it is possible to systematically study the zero-shot generalization capabilities of multiple neural retrieval approaches. The benchmark contains a total of 9 information retrieval tasks (Fact Checking, Citation Prediction, Duplicate Question Retrieval, Argument Retrieval, News Retrieval, Question Answering, Tweet Retrieval, Biomedical IR, Entity Retrieval) from 17 different datasets: MS MARCO TREC-COVID NFCorpus BioASQ Natural Questions HotpotQA FiQA-2018 Signal-1M TREC-News ArguAna Touche 2020 CQADupStack Quora Question Pairs DBPedia SciDocs FEVER Climate-FEVER SciFact
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OpenDataLab/BEIR
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
BEIR (Benchmarking IR) is an heterogeneous benchmark containing different information retrieval (IR) tasks. Through BEIR, it is possible to systematically study the zero-shot generalization capabilities of multiple neural retrieval approaches. The benchmark contains a total of 9 information retrieval tasks (Fact Checking, Citation Prediction, Duplicate Question Retrieval, Argument Retrieval, News Retrieval, Question Answering, Tweet Retrieval, Biomedical IR, Entity Retrieval) from 17 different datasets: MS MARCO TREC-COVID NFCorpus BioASQ Natural Questions HotpotQA FiQA-2018 Signal-1M TREC-News ArguAna Touche 2020 CQADupStack Quora Question Pairs DBPedia SciDocs FEVER Climate-FEVER SciFact