Annotated Tweets Dataset for Hate Speech Detection and Psychological Impact Classification

This dataset contains annotated tweets labeled for the presence of hate speech, the specific type of hate expressed, and the psychological impact it may cause. Each tweet is classified as hateful or non-hateful and is further annotated with one or more hate speech categories, including appearance, behavior, ethnicity, race, disability, sexual orientation, and gender. In addition to the hate type, the dataset includes multi-label annotations for mental health impact indicators such as hurt, rejection, shame, aggression, distress, fear, and insecurity.