MAESTRO
dataset·aligned piano audio midi·active
Paired piano audio and high-precision MIDI from International Piano-e-Competition performances.
Verified facts
| Official site | https://magenta.tensorflow.org/datasets/maestro ↗ |
|---|---|
| Geography | United States |
| size | version: 3.0.0 · performances: 1276 · duration hours: 198.7 · notes millions: 7.04 · uncompressed gb: 120.2 |
| scope | Virtuosic classical piano performances captured on Yamaha Disklaviers. |
| genres | classical piano |
| license | CC BY-NC-SA 4.0 |
| steward | Google LLC |
| creators | Curtis Hawthorne; Andriy Stasyuk; Adam Roberts; Ian Simon; Cheng-Zhi Anna Huang; Sander Dieleman; Erich Elsen; Jesse Engel; Douglas Eck |
| versions | 1.0.0; 2.0.0; 3.0.0 |
| languages | not_applicable |
| modalities | WAV; MIDI; CSV; JSON |
| geographies | International competition; recordings released by US steward |
| access method | Direct Google-hosted full and MIDI-only archives. |
| intended uses | piano transcription; music generation; performance modeling |
| related papers | Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset |
| annotation method | Audio and MIDI aligned to about 3 ms; composer, title and year metadata supplied. |
| collection method | Competition performances recorded on Yamaha Disklaviers over ten years. |
| provenance claims | Official page identifies International Piano-e-Competition as the raw-data partner. |
| current availability | Version 3.0.0 full, MIDI-only and metadata downloads are available. |
| commercial use limits | Commercial use prohibited by the dataset license. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Repertoire is mostly Western classical music from the 17th to early 20th centuries. |
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0d ago · highhow verification works
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