Dataset · Hugging Face

mteb/PawsXPairClassification

Name: PawsXPairClassification
Creator: mteb
License: other
Keywords: task_categories:text-classification, task_ids:semantic-similarity-classification, task_ids:natural-language-inference, annotations_creators:human-annotated, multilinguality:translated, source_datasets:google-research-datasets/paws-x, language:cmn, language:deu, language:eng, language:fra, language:jpn, language:kor, language:spa, license:other, size_categories:10K<n<100K

PawsXPairClassification An MTEB dataset Massive Text Embedding Benchmark {PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification Task category t2t Domains Web, Encyclopaedic, Written Reference https://arxiv.org/abs/1908.11828 How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_task("PawsXPairClassification") evaluator = mteb.MTEB([task]) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/PawsXPairClassification.

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Author / organization	mteb
License (as declared)	other
Downloads	1.8K (as reported by Hugging Face)
Likes	0
Created	19 June 2025
Last updated at source	24 February 2026

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