This dataset to dedicated to the relationship between chords & melodies. The intended use case of the data set is to train models capable of predicting melodies from chord progressions or vice versa.

The dataset conforms to a strict format. All songs are saved in MUSIC_XML

• 2 chords
• all notes MUST be monophonic (i.e single note melodies)
• notes and or rests that sum to 4 beats (4/4 time)
• triplets are NOT supported!
• the maximum resolution supported is 16th notes

The dataset was created scaning leadsheets via the OCR feature in the SMARTSCORE SOFTWARE

Ideally each song/leadsheet will be transposed to 12keys. I have created a golang app that will validate that the xml format is correct MusicXmlParser

In order to use this data set to make musical predictions you must first encode the data into a format consumable by machine learning algorithms. You are welcome to use the tool I've created or of course roll your own. The encoder I've created is a simple GoLang commandline tool that consumes the MusicXML format and outputs enoded data strings. ENCODING TOOL

For ideas on how to format and feed this data into machine learning algorithms & frameworks please visit my blog Signals & Sorcery Blog or my procedural music generation project TrebleMaker.Ai