The MMHS150K dataset consists of 150K multi-modal (images + text) tweets spanning over four hate-inclined topics – racism, sexism, homophobia, and religious extrem-ism.
The HuggingFace DLab dataset is used for assessing fair target-group detection. It contains 135,556 posts with explicit annotations for the target group(s).
