eval.yaml

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