YourMT3 Dataset Repository
This dataset repository is currently being prepared for the next release of YourMT3.
The data format in this repository is not compatible with previously released versions of YourMT3. Users of earlier pre-release versions should continue to use the
install_dataset.pyincluded with their version of the code and obtain the corresponding dataset archives from the original YourMT3 Zenodo release.
This repository contains multiple upstream datasets with different licenses. Review DATASET_LICENSES.md before downloading or using any archive.
GigaMIDI FluidSynth
The gigamidi_fluidsynth/
folder distributes the prepared GigaMIDI Full dataset for standalone synthetic
mixture pretraining, separately from v2/.
| Split | 30-second crops | Independent tar shards |
|---|---|---|
| Train | 481,383 | 471 |
| Validation | 300 | 1 |
| Test | 300 | 1 |
| Total | 481,983 | 473 |
The complete uncompressed tar distribution is 1,031,344,578,560 bytes
(about 1.031 TB). Each crop retains 16 kHz mono WAV, 48 kHz stereo Opus,
the original MIDI, notes.npy, note_events.npy, and readable JSON metadata.
Mixtures use one of five SoundFonts and random room IR reverberation. No stems
are generated. Annotations retain raw GM programs, including 100 and 101.
Use the YourMT3-clean clean branch installer and select 30: GigaMIDI
FluidSynth:
python scripts/install_dataset.py "$DATA_ROOT" --hf_download_workers 4
It installs DATA_ROOT/gigamidi_fluidsynth_full/{train,val,test}/*.tar without
extracting samples or generating pickle file lists. Re-running it resumes
missing or incomplete shards. With the usual training launcher and model
options, select --data_preset gigamidi_fluidsynth; use
--final_test_preset gigamidi_fluidsynth for this dataset's test split.
Both its single and multi presets use only this dataset.
This folder contains GigaMIDI Full. The Small subset and SymphonyNet are not included here. Audio examples and dataset distributions are available in the demo. Noncommercial research only: see the GigaMIDI FluidSynth terms and credits in DATASET_LICENSES.md.
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