datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
arena-resultsThis dataset contains the saved results from MTEB-Arena
climate-fever-v2
ClimateFEVER.v2
An MTEB dataset
Massive Text Embedding Benchmark
CLIMATE-FEVER is a dataset following the FEVER methodology, containing 1,535 real-world climate change claims. This updated version addresses corpus mismatches and qrel inconsistencies in MTEB, restoring labels while refining corpus-query alignment for better accuracy.
Task category
t2t
Domains
Academic, Written
Reference
https://www.sustainablefinance.uzh.ch/en/research/climate-fever.html… See the full description on the dataset page: https://huggingface.co/datasets/mteb/climate-fever-v2.mteb-nl-sarcastic-headlines This dataset contains news headlines from a satirical news website (Speld.nl) and a regular news website that are annotated with binary sarcasm labels (1 indicating sarcasm, 0 indicating non-sarcasm). All headlines from Speld.nl are annotated as sarcastic, whereas all headlines from nu.nl are not.
Citation Information
If you find our paper, benchmark or models helpful, please consider cite as follows:
@misc{banar2025mtebnle5nlembeddingbenchmark,
title={MTEB-NL and E5-NL:… See the full description on the dataset page: https://huggingface.co/datasets/clips/mteb-nl-sarcastic-headlines.