  Choral singing, a widely practiced form of ensemble singing, lacks
comprehensive datasets in the realm of Music Information Retrieval (MIR)
research, due to challenges arising from the requirement to curate multitrack
recordings. To address this, we devised a novel methodology, leveraging
state-of-the-art synthesizers to create and curate quality renditions. The
scores were sourced from Choral Public Domain Library(CPDL). This work is done
in collaboration with a diverse team of musicians, software engineers and
researchers. The resulting dataset, complete with its associated metadata, and
methodology is released as part of this work, opening up new avenues for
exploration and advancement in the field of singing voice research.
