  The Collaborative Song Dataset (CoSoD) is a corpus of 331 multi-artist
collaborations from the 2010-2019 Billboard "Hot 100" year-end charts. The
corpus is annotated with formal sections, aspects of vocal production
(including reverberation, layering, panning, and gender of the performers), and
relevant metadata. CoSoD complements other popular music datasets by focusing
exclusively on musical collaborations between independent acts. In addition to
facilitating the study of song form and vocal production, CoSoD allows for the
in-depth study of gender as it relates to various timbral, pitch, and formal
parameters in musical collaborations. In this paper, we detail the contents of
the dataset and outline the annotation process. We also present an experiment
using CoSoD that examines how the use of reverberation, layering, and panning
are related to the gender of the artist. In this experiment, we find that men's
voices are on average treated with less reverberation and occupy a more narrow
position in the stereo mix than women's voices.
