The AMG1608 Dataset for Music Emotion Recognition

Introduction

AMG1608 is a dataset for music emotion analysis. It contains frame-level acoustic features extracted from 1608 30-second music clips and corresponding valence-arousal (VA) annotations provided by 665 subjects.

The dataset can be downloaded using this link.

SHA-1: EF49EAE3C416FEA684F5EFE290A230475454DF7E

Detailed descriptions about the dataset can be found in the dataset description page.

Graphical Interface For Annotation	Distribution of Average Annotations