Dataset · Hugging Face

mteb/stsbenchmark-sts

Name: stsbenchmark-sts
Creator: mteb
License: unknown
Keywords: task_categories:sentence-similarity, task_ids:semantic-similarity-scoring, annotations_creators:human-annotated, multilinguality:translated, language:eng, license:unknown, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2502.13595, arxiv:2210.07316

STSBenchmark An MTEB dataset Massive Text Embedding Benchmark Semantic Textual Similarity Benchmark (STSbenchmark) dataset. Task category t2t Domains Blog, News, Written Reference https://github.com/PhilipMay/stsb-multi-mt/ How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["STSBenchmark"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/stsbenchmark-sts.

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Author / organization	mteb
License (as declared)	unknown
Downloads	19.1K (as reported by Hugging Face)
Likes	19
Created	19 April 2022
Last updated at source	24 February 2026

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