Dataset · Hugging Face

mteb/KorSarcasmClassification

Name: KorSarcasmClassification
Creator: mteb
License: mit
Keywords: task_categories:text-classification, task_ids:topic-classification, annotations_creators:expert-annotated, multilinguality:monolingual, language:kor, license:mit, size_categories:1K<n<10K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2502.13595, arxiv:2210.07316

KorSarcasmClassification An MTEB dataset Massive Text Embedding Benchmark The Korean Sarcasm Dataset was created to detect sarcasm in text, which can significantly alter the original meaning of a sentence. 9319 tweets were collected from Twitter and labeled for sarcasm or not_sarcasm. These tweets were gathered by querying for: irony sarcastic, and sarcasm. The dataset was created by gathering HTML data from Twitter. Queries for hashtags that include sarcasm… See the full description on the dataset page: https://huggingface.co/datasets/mteb/KorSarcasmClassification.

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Author / organization	mteb
License (as declared)	mit
Downloads	1.5K (as reported by Hugging Face)
Likes	0
Created	6 May 2025
Last updated at source	24 February 2026

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