MuSe: The Musical Sentiment Dataset

Christopher Akiki, Manuel Burghardt
2021 Journal of Open Humanities Data  
The MuSe (Music Sentiment) dataset contains sentiment information for 90,001 songs. We computed scores for the affective dimensions of valence, dominance, and arousal, based on the user-generated tags that are available for each song via In addition, we provide artist, title and genre metadata, and a MusicBrainz ID and a Spotify ID, which allow researchers to extend the dataset with further metadata.
doi:10.5334/johd.33 fatcat:wbpfl6ynejf4ncbp6hfrk225iq