This repository contains the Musical Corpus of Flow dataset. MCFlow is a dataset of 124 transcriptions of popular rap songs which appear on the Billboard chart between 1979 and 2014. This dataset is part of a larger Coordinated Corpus of Popular Music project, led by Nat Condit-Schultz and Claire Arthur, in the Computational and Cognitive Musicology Lab in the Georgia Tech Center for Music Technology. For more information, you can also check out rapscience.net.
This project started at Ohio State, as part of Nat Condit-Schultz's dissertation work: read Nat's dissertation for details on the motivations and methodologies behind the corpus.
This repository is organized as follows:
The root directory contains one subdirectory:
- The
Humdrumdirectory containing the humdrum-formatted files.