BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification

The dramatic increase in the use of social media platforms for information sharing has also driven a significant rise in online abuse. A simple yet effective method of targeting individuals or communities involves creating memes, often combining an image with a brief piece of text overlaid on top. These harmful elements are widely used and pose a threat to online safety. Therefore, developing efficient models for detecting and flagging abusive memes is essential. This challenge becomes even more demanding in a low-resource setting, such as Bengali memes (i.e., images with Bengali text embedded in them), due to the absence of benchmark datasets on which AI models can be trained. This work addresses this gap by creating a Bengali meme dataset of 4K data points. This upload includes the labeled Bengali meme dataset obtained from the web, described in the paper 'BanglaAbuseMeme: A Dataset for Bengali Abusive Meme Classification.'