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Advances in automated detection of offensive language online, including hatespeech and cyberbullying, require improved access to publicly availabledatasets comprising social media content. In this paper, we introduce BAN-PL,the first open dataset in the Polish language that encompasses texts flagged asharmful and subsequently removed by professional moderators. The datasetencompasses a total of 691,662 pieces of content from a popular socialnetworking service, Wykop, often referred to as the "Polish Reddit", includingboth posts and comments, and is evenly distributed into two distinct classes:"harmful" and "neutral". We provide a comprehensive description of the datacollection and preprocessing procedures, as well as highlight the linguisticspecificity of the data. The BAN-PL dataset, along with advanced preprocessingscripts for, i.a., unmasking profanities, will be publicly available.

BAN-PL: a Novel Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service