Dataset · Hugging Face

mteb/MultiLongDocReranking

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

MultiLongDocReranking An MTEB dataset Massive Text Embedding Benchmark Reranking version of MultiLongDocRetrieval (MLDR). MLDR is a Multilingual Long-Document Retrieval dataset built on Wikipedia, Wudao and mC4, covering 13 typologically diverse languages. Specifically, we sample lengthy articles from Wikipedia, Wudao and mC4 datasets and randomly choose paragraphs from them. Then we use GPT-3.5 to generate questions based on these paragraphs. The generated question and the sampled… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MultiLongDocReranking.

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Author / organization	mteb
License (as declared)	mit
Downloads	1.5K (as reported by Hugging Face)
Likes	0
Created	2 December 2025
Last updated at source	2 December 2025

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