Symbolic Music Data Version 1.0
This provides a domain-specific resource for researchers in music AI, but it is incremental as it focuses on dataset creation without novel methods or broad impact.
The authors introduced a new dataset for training machine learning models on symbolic music data, including a newly collected corpus of 20K MIDI files, and described preprocessing, cleaning, and data splits based on clustering.
In this document, we introduce a new dataset designed for training machine learning models of symbolic music data. Five datasets are provided, one of which is from a newly collected corpus of 20K midi files. We describe our preprocessing and cleaning pipeline, which includes the exclusion of a number of files based on scores from a previously developed probabilistic machine learning model. We also define training, testing and validation splits for the new dataset, based on a clustering scheme which we also describe. Some simple histograms are included.