bleugreen / superslakh

superslakh - a large synthetic music dataset

what is it?

• 105,057 midi songs, with over a million instrument stems (subset of lakh midi)
• 15,654 instrument presets (synths & sampled instruments)
• a classification / rendering process to combine the two into over 3500 hours of distinct audio

why?

it can be used to train pretty much any music task

you have the 'source code' of the audio, making it simple to augment / modify the data, all in a format which is dramatically smaller than even the most compressed audio

each midi file contains:

• local tempo
• time signature
• key signature
• score ('piano roll') for each instrument
  • 128 instrument classes (General Midi)
  • ~8 instruments per song on average
• many even have lyrics
  • todo - render vocals with SVS using lyrics / melody

this makes it well-suited to tasks like:

• tempo / key classification
• beat / downbeat prediction
• stem separation
• multi-instrument transcription
• generative composition ('write a bass line for this piano melody')

references

lakh midi dataset - where all the midi is from (s/o colin raffel)

pretty-midi- how the midi files are handled & rendered (also by colin raffel)

slakh2100 - where I got the idea