数据集'Trawling for Trolling'由印度国际信息技术学院创建，包含12,490个样本，分为5个类别：正常、亵渎、挑衅、贬低和仇恨言论。该数据集通过重新标注来自Twitter、Reddit和Wikipedia Talk Pages的内容创建，旨在区分挑衅和仇恨言论，提高自动检测有害内容的准确性。数据集的应用领域包括社交媒体内容过滤，旨在解决有害内容自动检测的问题。
This dataset contains 12490 rows of social media content samples distributed between Hate Speech, Derogatory, Trolling, Profanity and Normal. Data source primary from Twitter, Reddit and Wikipedia Tal
This dataset contains 12490 rows of social media content samples distributed between Hate Speech, Derogatory, Trolling, Profanity and Normal. Data source primary from Twitter, Reddit and Wikipedia Tal
This dataset contains 12490 rows of social media content samples distributed between Hate Speech, Derogatory, Trolling, Profanity and Normal. Data source primary from Twitter, Reddit and Wikipedia Tal
