Dataset · Hugging Face

mteb/sts22-crosslingual-sts

Name: sts22-crosslingual-sts
Creator: mteb
License: unknown
Keywords: task_categories:sentence-similarity, task_ids:semantic-similarity-scoring, annotations_creators:human-annotated, multilinguality:multilingual, source_datasets:mteb/sts22-crosslingual-sts, language:ara, language:cmn, language:deu, language:eng, language:fra, language:ita, language:pol, language:rus, language:spa, language:tur

STS22.v2 An MTEB dataset Massive Text Embedding Benchmark SemEval 2022 Task 8: Multilingual News Article Similarity. Version 2 filters updated on STS22 by removing pairs where one of entries contain empty sentences. Task category t2t Domains News, Written Reference https://competitions.codalab.org/competitions/33835 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sts22-crosslingual-sts.

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Author / organization	mteb
License (as declared)	unknown
Downloads	13.6K (as reported by Hugging Face)
Likes	16
Created	30 May 2022
Last updated at source	24 February 2026

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