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size_categories:
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# Slovak Hate Speech and Offensive Language Database
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The dataset contains posts from a social network with human annotations.
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## Annotations
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The posts are marked 1 if the post contain hateful or offensive language, 0 otherwise.
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## Dataset Creation
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The source data were scraped from a social network from a selection of public pages for sport, politics or general discussion. The gathered data were cleaned from span with a text clustering.
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The posts were annotated by a group of students of the Technical University of Košice, Slovakia.
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The annotators were asked to
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We removed annotations of users that had low level of agreement with others.
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## Bias
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Annotations are dependent on the personal opinions of the annotators. Class for most of the items was determined by voting of trustworthy annotators, but some items had only one vote available.
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## Credits
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- [NLP@ KEMT](https://nlp.kemt.fei.tuke.sk) Technical University of Košice, Slovakia
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- Vladimír Ferko: annotation application and preliminary experiments
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- Daniel Hládek: data filtering and export
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