Dataset · Hugging Face

mteb/sts16-sts

Name: sts16-sts
Creator: mteb
License: unknown
Keywords: task_categories:sentence-similarity, task_ids:semantic-similarity-scoring, task_ids:sentiment-analysis, task_ids:sentiment-scoring, task_ids:sentiment-classification, task_ids:hate-speech-detection, annotations_creators:human-annotated, multilinguality:monolingual, language:eng, license:unknown, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas

STS16 An MTEB dataset Massive Text Embedding Benchmark SemEval-2016 Task 4 Task category t2t Domains Blog, Web, Spoken Reference https://www.aclweb.org/anthology/S16-1001 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(["STS16"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL) evaluator.run(model) To learn more about how to run models on mteb task… See the full description on the dataset page: https://huggingface.co/datasets/mteb/sts16-sts.

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Author / organization	mteb
License (as declared)	unknown
Downloads	4.1K (as reported by Hugging Face)
Likes	2
Created	20 April 2022
Last updated at source	4 May 2025

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