Dataset · Hugging Face

mteb/sts13-sts

Name: sts13-sts
Creator: mteb
License: unknown
Keywords: task_categories:sentence-similarity, task_ids:semantic-similarity-scoring, annotations_creators:human-annotated, multilinguality:monolingual, 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

STS13 An MTEB dataset Massive Text Embedding Benchmark SemEval STS 2013 dataset. Task category t2t Domains Web, News, Non-fiction, Written Reference https://www.aclweb.org/anthology/S13-1004/ 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(["STS13"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more about how… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sts13-sts.

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Author / organization	mteb
License (as declared)	unknown
Downloads	23.5K (as reported by Hugging Face)
Likes	1
Created	20 April 2022
Last updated at source	24 February 2026

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