Teach Yourself Georgian Folk Songs Dataset: A Annotated Corpus Of Traditional Vocal Polyphony

New datasets of non-Western traditional music contribute to the development of knowledge in MIR and allow computational techniques to inform ethnomusicology. We present an annotated dataset of traditional vocal polyphony from two regions of the Republic of Georgia with disparate musical characteristics. The audio for each song consists of four polyphonic recordings of one performance from different microphones. We present a process and workflow that we use to annotate the dataset, which takes advantage of the salience of individual voices in each recording. The process results in an $f_0$ estimate for each vocal part.