FACED - Finer-grained Affective Computing EEG Dataset

FACED is a comprehensive EEG dataset containing scalp recordings from 123 healthy participants viewing 28 emotion-eliciting video clips designed to evoke nine distinct emotion categories. Participants provided detailed self-reported ratings across 12 dimensions including eight emotions, arousal, valence, liking, and familiarity. The dataset facilitates cross-subject affective computing research and development of EEG-based emotion recognition algorithms for real-world applications.