Moods and activities in music

Data consists of annotations of music in terms of moods music may express and activities that music might fit. The data structures are related to different kinds of annotation tasks, which addressed these questions: 1) annotations of 9 activities that fit a wide range of moods related to music, 2) nominations of music tracks that best fit the a particular mood and annotating the activities that fit them, and 3) annotations of these nominated tracks in terms of mood and activities. Users are anonymised, but the background information (gender, music preferences, age, etc.) are also available. Dataset consists of relational database, that is linked together by means of common ids (tracks, users, activities, moods, genres, expertise, language skill).