PL-MTEB: Polish Massive Text Embedding Benchmark

Fuente: arXiv
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Main Authors: Poświata, Rafał, Dadas, Sławomir, Perełkiewicz, Michał
Format: Preprint
Published: 2024
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author Poświata, Rafał
Dadas, Sławomir
Perełkiewicz, Michał
author_facet Poświata, Rafał
Dadas, Sławomir
Perełkiewicz, Michał
contents In this paper, we introduce the Polish Massive Text Embedding Benchmark (PL-MTEB), a comprehensive benchmark for text embeddings in the Polish language. PL-MTEB comprises 30 diverse NLP tasks across five categories: classification, clustering, pair classification, information retrieval, and semantic text similarity. Within the scope of this work, we added 12 new Polish-language tasks to MTEB based on existing datasets and prepared two new datasets used to create four clustering tasks. We evaluated 30 publicly available text embedding models, including Polish and multilingual models. We analyzed the results in detail for specific task types and model sizes. We made the prepared datasets, the source code for evaluation, and the obtained results available to the public at https://github.com/rafalposwiata/pl-mteb.
format Preprint
id arxiv_https___arxiv_org_abs_2405_10138
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle PL-MTEB: Polish Massive Text Embedding Benchmark
Poświata, Rafał
Dadas, Sławomir
Perełkiewicz, Michał
Computation and Language
In this paper, we introduce the Polish Massive Text Embedding Benchmark (PL-MTEB), a comprehensive benchmark for text embeddings in the Polish language. PL-MTEB comprises 30 diverse NLP tasks across five categories: classification, clustering, pair classification, information retrieval, and semantic text similarity. Within the scope of this work, we added 12 new Polish-language tasks to MTEB based on existing datasets and prepared two new datasets used to create four clustering tasks. We evaluated 30 publicly available text embedding models, including Polish and multilingual models. We analyzed the results in detail for specific task types and model sizes. We made the prepared datasets, the source code for evaluation, and the obtained results available to the public at https://github.com/rafalposwiata/pl-mteb.
title PL-MTEB: Polish Massive Text Embedding Benchmark
topic Computation and Language
url https://arxiv.org/abs/2405.10138