Dataset · Hugging Face

mteb/fever

Name: fever
Creator: mteb
License: cc-by-nc-sa-3.0
Keywords: task_categories:text-retrieval, task_ids:fact-checking, task_ids:fact-checking-retrieval, annotations_creators:human-annotated, multilinguality:monolingual, language:eng, license:cc-by-nc-sa-3.0, size_categories:1M<n<10M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595

FEVER An MTEB dataset Massive Text Embedding Benchmark FEVER (Fact Extraction and VERification) 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 categoryt2t Domains Encyclopaedic, Written Reference https://fever.ai/ 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/fever.

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Author / organization	mteb
License (as declared)	cc-by-nc-sa-3.0
Downloads	1.5K (as reported by Hugging Face)
Likes	0
Created	2 March 2024
Last updated at source	4 May 2025

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