Dataset · Hugging Face

whooray/MultiLongDocRetrieval

Name: MultiLongDocRetrieval
Creator: whooray
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/whooray/MultiLongDocRetrieval.

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Author / organization	whooray
License (as declared)	mit
Downloads	560 (as reported by Hugging Face)
Likes	0
Created	2 March 2026
Last updated at source	2 March 2026

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