Dataset · Hugging Face

mteb/climate-fever

Name: climate-fever
Creator: mteb
License: cc-by-sa-4.0
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-sa-4.0, size_categories:1M<n<10M, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2012.00614

ClimateFEVER An MTEB dataset Massive Text Embedding Benchmark CLIMATE-FEVER is a dataset adopting the FEVER methodology that consists of 1,535 real-world claims (queries) regarding climate-change. The underlying corpus is the same as FVER. Task category t2t Domains Encyclopaedic, Written Reference https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html How to evaluate on this task You can evaluate an embedding model on this dataset… See the full description on the dataset page: https://huggingface.co/datasets/mteb/climate-fever.

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Author / organization	mteb
License (as declared)	cc-by-sa-4.0
Downloads	1.1K (as reported by Hugging Face)
Likes	6
Created	2 March 2024
Last updated at source	31 May 2025

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17 Oct 2026 Description: ClimateFEVER An MTEB dataset Massive Text Embedding Benchmark CLIMATE-FEVER is a dataset adopting the FEVER methodology that consists of 1,535 real-world claims (queries) regarding climate-change. The underlying corpus is the same as FVER. → ClimateFEVER An MTEB dataset Massive Text Embedding Benchmark CLIMATE-FEVER is a dataset adopting the FEVER methodology that consists of 1,535 real-world claims (queries) regarding climate-change. The underlying corpus is the same as FVER.

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