BEIR is a heterogeneous benchmark containing diverse IR tasks. It also provides a common and easy framework for evaluation of your NLP-based retrieval ...

BEIR (Benchmarking IR) is a heterogeneous benchmark containing different information retrieval (IR) tasks. Through BEIR, it is possible to systematically ...

17 апр. 2021 г. · We leverage a careful selection of 18 publicly available datasets from diverse text retrieval tasks and domains and evaluate 10 state-of-the-art ...

BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks: Fact-checking: FEVER, Climate-FEVER ...

16 авг. 2023 г. · Dataset Summary. BEIR is a heterogeneous benchmark that has been built from 18 diverse datasets representing 9 information retrieval tasks:.

The BEIR benchmark (originally) contains 18 retrieval datasets from diverse domains and tasks. The benchmark focuses on zero-shot evaluation (i.e. no ...

"beir/nq" ... A version of the Natural Questions dev dataset. Data pre-processing differs both from what is done in natural-questions and dpr-w100/natural- ...

We leverage a careful selection of 18 publicly available datasets from diverse text retrieval tasks and domains and evaluate 10 state-of-the- art retrieval ...

6 дек. 2022 г. · BEIR is a heterogeneous benchmark containing diverse IR tasks. It also provides a common and easy framework for evaluation of your NLP-based ...

16 июл. 2024 г. · Structure of a BEIR dataset. Each benchmark has three artefacts: the corpus or documents to retrieve; the queries; the relevance judgements for ...