Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Korean
Size:
10K - 100K
ArXiv:
License:
File size: 954 Bytes
9644ac1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | 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
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