CoCoPops/MCFlow/

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.

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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.

• Nat Condit-Schultz

Directory Structure

This repository is organized as follows:

Root Directory

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The root directory contains one subdirectory:

• The Humdrum directory containing the humdrum-formatted files.