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README.md
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# ℹ️ Dataset card for K-HATERS
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### Dataset summary
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We introduces **K-HATERS**, a new corpus for hate speech detection in Korean, comprising approximately 192K news comments with target-specific offensiveness ratings.
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The corpus consists of 192,158 news comments consisting of
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We collected news comments published through the politics, society and world news sections in Naver News over two months in 2021.
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All comments were annotated through CashMission, a crowdsourcing service run by SELECTSTAR.
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</br>For more information, please refer to the paper [K-HATERS](https://arxiv.org/abs/2310.15439) published at EMNLP 2023 Findings.
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# ℹ️ Dataset card for K-HATERS
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### Dataset summary
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We introduces **K-HATERS**, a new corpus for hate speech detection in Korean, comprising approximately 192K news comments with target-specific offensiveness ratings.
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The corpus consists of 192,158 news comments consisting of 184,117 news comments collected by ourselves and 8,041 comments collected from a [previous study](https://aclanthology.org/2020.socialnlp-1.4/).
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We collected news comments published through the politics, society and world news sections in Naver News over two months in 2021.
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All comments were annotated through CashMission, a crowdsourcing service run by SELECTSTAR.
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</br>For more information, please refer to the paper [K-HATERS](https://arxiv.org/abs/2310.15439) published at EMNLP 2023 Findings.
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