Dataset · Hugging Face

mteb/WikipediaRetrievalMultilingual

Name: WikipediaRetrievalMultilingual
Creator: mteb
License: cc-by-sa-3.0
Keywords: task_categories:text-retrieval, task_ids:multiple-choice-qa, task_ids:document-retrieval, annotations_creators:LM-generated and reviewed, multilinguality:multilingual, language:ben, language:bul, language:ces, language:dan, language:deu, language:eng, language:fas, language:fin, language:hin, language:ita

WikipediaRetrievalMultilingual An MTEB dataset Massive Text Embedding Benchmark The dataset is derived from Cohere's wikipedia-2023-11 dataset and contains synthetically generated queries. Task category t2t Domains Encyclopaedic, Written Reference https://huggingface.co/datasets/ellamind/wikipedia-2023-11-retrieval-multilingual-queries How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import… See the full description on the dataset page: https://huggingface.co/datasets/mteb/WikipediaRetrievalMultilingual.

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Author / organization	mteb
License (as declared)	cc-by-sa-3.0
Downloads	2.4K (as reported by Hugging Face)
Likes	1
Created	27 November 2024
Last updated at source	24 February 2026

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17 Oct 2026 Description: WikipediaRetrievalMultilingual An MTEB dataset Massive Text Embedding Benchmark The dataset is derived from Cohere's wikipedia-2023-11 dataset and contains synthetically generated queries. Task category t2t Domains Encyclopaedic, Written Re → WikipediaRetrievalMultilingual An MTEB dataset Massive Text Embedding Benchmark The dataset is derived from Cohere's wikipedia-2023-11 dataset and contains synthetically generated queries. Task category t2t Domains Encyclopaedic, Written Re

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