Cyberbullying dataset for Kurdish Language

To address this gap, we have created the first ever cyberbullying dataset for the Kurdish language. This dataset contains three classes: neutral, racism, and sexism. The neutral class includes messages that do not contain any form of cyberbullying, while the racism and sexism classes include messages that contain discriminatory language based on race or gender, respectively.

The dataset was created using a combination of manual and automated techniques. We collected a large number of messages from Twitter API, that were written in Kurdish. We then manually labeled these messages based on whether they contained cyberbullying or not, and further categorized them into the three classes.

The resulting dataset contains over 30,000 messages, with roughly equal distribution among the three classes. It is a valuable resource for researchers and practitioners who are interested in studying cyberbullying in the Kurdish language and developing strategies to combat it. The dataset can be used for a variety of purposes, including training machine learning models to detect cyberbullying in Kurdish, analyzing the language used in cyberbullying messages to identify patterns and trends, and developing interventions to prevent and address cyberbullying in Kurdish-speaking communities.