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mteb
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KorHateSpeechMLClassification

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Text Classification

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multi-label-classification

sentiment-analysis

sentiment-scoring

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KorHateSpeechMLClassification / eval.yaml

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Add eval config

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	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