Dataset · Hugging Face

mteb/MultilingualNanoFEVERRetrieval

Name: MultilingualNanoFEVERRetrieval
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:text-retrieval, task_ids:fact-checking, task_ids:fact-checking-retrieval, annotations_creators:derived, multilinguality:translated, source_datasets:zeta-alpha-ai/NanoFEVER, source_datasets:LiquidAI/nanobeir-multilingual-extended, language:ara, language:deu, language:eng, language:fra, language:ita, language:jpn, language:kor, language:nor

MultilingualNanoFEVERRetrieval An MTEB dataset Massive Text Embedding Benchmark NanoFEVER is a smaller version of FEVER (Fact Extraction and VERification), which consists of 185,445 claims generated by altering sentences extracted from Wikipedia and subsequently verified without knowledge of the sentence they were derived from. Task category Retrieval (text-to-text) Domains Academic, Encyclopaedic Reference Proceedings of the 2018 Conference of the North American… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MultilingualNanoFEVERRetrieval.

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	417 (as reported by Hugging Face)
Likes	0
Created	21 June 2026
Last updated at source	21 June 2026

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