This page contains a list of open datasets that were used to train the Magenta models.
MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset is composed of over 172 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms.
A large-scale and high-quality audio dataset of annotated musical notes, containing 305,979 musical notes, each with a unique pitch, timbre, and envelope. For 1,006 instruments from commercial sample libraries, we generated four second, monophonic 16kHz audio snippets, referred to as notes, by ranging over every pitch of a standard MIDI piano, as well as five different velocities.
A collection of 50 million drawings across 345 categories, contributed by players of the game Quick, Draw!. The drawings were captured as timestamped vectors, tagged with metadata including what the player was asked to draw and in which country the player was located.