Dataset · Hugging Face

mteb/twittersemeval2015-pairclassification

Name: twittersemeval2015-pairclassification
Creator: mteb
License: unknown
Keywords: task_categories:text-classification, task_ids:semantic-similarity-classification, annotations_creators:human-annotated, multilinguality:monolingual, language:eng, license:unknown, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595, arxiv:2210.07316

TwitterSemEval2015 An MTEB dataset Massive Text Embedding Benchmark Paraphrase-Pairs of Tweets from the SemEval 2015 workshop. Task category t2t Domains Social, Written Reference https://alt.qcri.org/semeval2015/task1/ 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(["TwitterSemEval2015"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/twittersemeval2015-pairclassification.

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Author / organization	mteb
License (as declared)	unknown
Downloads	5.6K (as reported by Hugging Face)
Likes	0
Created	19 April 2022
Last updated at source	4 May 2025

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