Dataset · Hugging Face

mteb/MultiLongDocRetrieval

Name: MultiLongDocRetrieval
Creator: mteb
License: mit
Keywords: task_categories:text-retrieval, annotations_creators:LM-generated, multilinguality:multilingual, source_datasets:Shitao/MLDR, language:ara, language:cmn, language:deu, language:eng, language:fra, language:hin, language:ita, language:jpn, language:kor, language:por, language:rus

MultiLongDocRetrieval An MTEB dataset Massive Text Embedding Benchmark Multi Long Doc Retrieval (MLDR) 'is curated by the multilingual articles from Wikipedia, Wudao and mC4 (see Table 7), and NarrativeQA (Kocˇisky ́ et al., 2018; Gu ̈nther et al., 2023), which is only for English.' (Chen et al., 2024). It is constructed by sampling lengthy articles from Wikipedia, Wudao and mC4 datasets and randomly choose paragraphs from them. Then we use GPT-3.5 to generate questions based… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MultiLongDocRetrieval.

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Author / organization	mteb
License (as declared)	mit
Downloads	4.3K (as reported by Hugging Face)
Likes	1
Created	6 May 2025
Last updated at source	23 September 2025

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