|
|
--- |
|
|
language: |
|
|
- all |
|
|
task_categories: |
|
|
- music-transcription |
|
|
- generative-modeling |
|
|
- audio-processing |
|
|
- machine-learning |
|
|
tags: |
|
|
- midi |
|
|
- lakh-midi |
|
|
- maestro |
|
|
- json |
|
|
- music-ai |
|
|
- symbolic-music |
|
|
- datasets |
|
|
- cleaned |
|
|
- structured |
|
|
- mir |
|
|
- generative-models |
|
|
- deep-learning |
|
|
pretty_name: Lakh MIDI Cleaned JSON (44k files) |
|
|
size_categories: |
|
|
- 100M<n<1B |
|
|
license: mit |
|
|
--- |
|
|
# Lakh MIDI Dataset — Fully Cleaned & Structured JSON (44,129 files) |
|
|
|
|
|
This dataset is a fully cleaned and normalized version of the Lakh MIDI Dataset. |
|
|
Each MIDI file has been parsed, validated, and converted into a consistent JSON structure with detailed musical metadata. |
|
|
|
|
|
✔ 44,129 cleaned JSON files |
|
|
✔ instrument programs |
|
|
✔ notes, durations, velocities |
|
|
✔ tempo curves |
|
|
✔ key signatures |
|
|
✔ time signatures |
|
|
✔ tracks & channels |
|
|
✔ structural markers |
|
|
✔ file-level metadata |
|
|
✔ consistent schema across all files |
|
|
|
|
|
Suitable for: |
|
|
- Music AI |
|
|
- symbolic modeling |
|
|
- generative models |
|
|
- audio-to-symbolic learning |
|
|
- embeddings |
|
|
- piano transcription |
|
|
- MIR research |
|
|
- supervised ML datasets |
|
|
- music information retrieval |
|
|
|
|
|
License: Same as original Lakh dataset (public research dataset, metadata extracted legally). |
|
|
All JSON files are derived from open-source MIDI data. |
|
|
|
|
|
For commercial or large-scale dataset cleaning services: |
|
|
|
|
|
|
|
|
— Zeronex |
|
|
|
