MultiHuSE: A Multimodal Dataset for Humour Styles and Emotions

Computational recognition of verbal humour re-mains a challenging task, requiring an understanding of lan-guage, delivery style, emotions, and cultural context. Most existing approaches focus on binary classification and lack datasets that capture psychological dimensions of humour alongside variations in expression.