Omkar2118/datasets huggingface dataset:
K-EmoCon

A multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue. 

Source: [K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations](/paper/k-emocon-a-multimodal-sensor-dataset-for)

Introducing paper: K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations