LAKH MuseNet MIDI Dataset

Full LAKH MIDI dataset converted to MuseNet MIDI output format (9 instruments + drums)

Bonus: Choir on Channel 10

Please CC BY-NC-SA

Make your own with the colab or download converted output here:

https://1drv.ms/u/s!Ao9gnMkvUA2KgZBWDIQJIG-JS6RpPQ?e=ur8ggN

wget install:

wget --no-check-certificate -O LAKH-MuseNet-MIDI-Dataset.zip "https://onedrive.live.com/download?cid=8A0D502FC99C608F&resid=8A0D502FC99C608F%2118518&authkey=AHkhwwRc0yg2QYY"

Source license/attribution

The Lakh MIDI Dataset is distributed with a CC-BY 4.0 license; if you use this data in any capacity, please reference this page and my thesis:

Colin Raffel. "Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching". PhD Thesis, 2016.

Of course, I did not transcribe any of the MIDI files in the Lakh MIDI Dataset. While MIDI files have a built-in mechanism for attribution (the Copyright meta-event), it is not used consistently, so attributing each of the MIDI files in the dataset to a particular author is not feasible. If you'd like to try, here is a list of the text of all of the Copyright meta-events in the Lakh MIDI Dataset.

If you use the Million Song Dataset, please reference this paper:

Thierry Bertin-Mahieux, Daniel P. W. Ellis, Brian Whitman, and Paul Lamere. "The Million Song Dataset". In Proceedings of the 12th International Society for Music Information Retrieval Conference, pages 591–596, 2011.

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Tegridy Code 2022