Meme-Sanity is an extended multimodal dataset designed to improve hate speech detection in memes through counterfactual data augmentation. It contains 2,479 neutralized memes generated by isolating and rewriting the hateful component (text or image) using a large language–vision model pipeline. The dataset helps reduce spurious correlations and supports more robust, trustworthy, and context-sensitive hate classification.
Please note that all examples in… See the full description on the dataset page:
https://huggingface.co/datasets/sahajps/Meme-Sanity.
