This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. It includes editorial meta-data about songs, albums, and artists, as well as MusicBrainz identifiers to facilitate linking to other data sets. In addition, several audio features (generic low-level descriptors and state-of-the-art music features) are provided. Different sets of annotations as well as music context data – collaboratively generated user tags, web pages about artists and albums, and the annotation labels provided by music experts – are included too. Versions of this data set were used in the MusiCLEF 2011 and in the MusiClef 2012 evaluation campaigns for auto-tagging tasks.
A Professionally Annotated and Enriched Multimodal Data Set on Popular Music
ORIO, NICOLA
2013
Abstract
This paper presents the MusiClef data set, a multimodal data set of professionally annotated music. It includes editorial meta-data about songs, albums, and artists, as well as MusicBrainz identifiers to facilitate linking to other data sets. In addition, several audio features (generic low-level descriptors and state-of-the-art music features) are provided. Different sets of annotations as well as music context data – collaboratively generated user tags, web pages about artists and albums, and the annotation labels provided by music experts – are included too. Versions of this data set were used in the MusiCLEF 2011 and in the MusiClef 2012 evaluation campaigns for auto-tagging tasks.
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