Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
topic-classification
Languages:
Korean
Size:
1K - 10K
ArXiv:
License:
File size: 743 Bytes
d4ae626 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | name: KorSarcasmClassification
description: '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 and variants of
it were used to return tweets. It was preprocessed by removing the keyword hashtag,
urls and mentions of the user to preserve anonymity.'
evaluation_framework: mteb
tasks:
- id: KorSarcasmClassification
- id: KorSarcasmClassification_default_train
config: default
split: train
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