eval.yaml

name: KorHateSpeechMLClassification
description: 'The Korean Multi-label Hate Speech Dataset, K-MHaS, consists of 109,692
  utterances from Korean online news comments, labelled with 8 fine-grained hate speech
  classes (labels: Politics, Origin, Physical, Age, Gender, Religion, Race, Profanity)
  or Not Hate Speech class. Each utterance provides from a single to four labels that
  can handles Korean language patterns effectively. For more details, please refer
  to the paper about K-MHaS, published at COLING 2022. This dataset is based on the
  Korean online news comments available on Kaggle and Github. The unlabeled raw data
  was collected between January 2018 and June 2020. The language producers are users
  who left the comments on the Korean online news platform between 2018 and 2020.'
evaluation_framework: mteb
tasks:
- id: KorHateSpeechMLClassification
- id: KorHateSpeechMLClassification_default_test
  config: default
  split: test