The ID_ABUSIVE dataset is collection of 2,016 informal abusive tweets in Indonesian language,
designed for sentiment analysis NLP task. This dataset is crawled from Twitter, and then filtered
and labelled manually by 20 volunteer annotators. The dataset labelled into three labels namely
not abusive language, abusive but not offensive, and offensive language.
