MIntRec

홈페이지 · 논문 14편

MIntRec is a novel dataset for multimodal intent recognition. It formulates coarse-grained and fine-grained intent taxonomies based on the data collected from the TV series *Superstore*. The dataset consists of 2,224 high-quality samples with text, video, and audio modalities and has multimodal annotations among twenty intent categories.

벤치마크