10.34820/FK2/DQEVRRRomadhony, AdeAdeRomadhonyTelkom UniversityRoot2022Computer and Information ScienceIndonesian online news comment, abusive text identificationRomadhony, AdeAdeRomadhonyTelkom University2022-03-042022-03-0410.1109/ISRITI48646.2019.9034620429688text/tab-separated-values1.0CC0 WaiverThis dataset consists of comments that are in some of the top news stories in 2019. comments obtained from the kompas, kaskus, and detik. The labeling process is carried out by 10 people and each comment was labeled by 3 annotators. Each comment is labeled with: 1: 'not abusive' 2: 'abusive but not offensive' 3: 'abusive and offensive'