The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
MAESTRO + ASAP audio and MIDI tokens (U-MusT)
Tokenized MAESTRO v3.0.0 for U-MusT: DAC audio tokens and MT3-style MIDI event arrays, covering roughly 199 hours of Disklavier-captured piano performance with precisely aligned MIDI.
This repository also contains ASAP-derived data. lmx/ and asap_note_events/ come from the
ASAP dataset, whose audio is itself MAESTRO. Both
carry the same license, so nothing conflicts, but the repository name mentions only one of the two
corpora it holds.
No audio is redistributed — only tokens.
Token files contain shift variants, not a single tokenization
This is the most important thing to know before loading these files. A one-pixel offset in a score image, or a one-sample offset in audio, changes the discrete token assignment almost entirely. Training on a single tokenization therefore makes a model brittle to offsets it will certainly encounter at inference. Every token file here instead stores a stack of discretization-shift variants on its leading axes.
Image tokens (.pt, torch.int16):
| Shape | Leading axes | Where it appears |
|---|---|---|
(8, 4, H, W, 4) |
8 horizontal x 4 vertical one-pixel shifts | scanned and photographed sources (yolo_shifted) |
(6, 8, 4, H, W, 4) |
6 key transpositions x 8 horizontal x 4 vertical | synthetically rendered sources (yolo_shifted_augmented) |
(1, 1, H, W, 4) |
none — a single tokenization | test-only splits (yolo) |
H and W are the token grid of one musical system at 16x compression, and the trailing 4 is
the RQ-VAE's four codebooks.
Audio tokens (.dac, Descript Audio Codec files): codes has shape (9, 4, T) — 9
temporal shift variants, 4 codebooks, T frames at 44.1 kHz mono. The 9 variants are sample
offsets from -20 to +20 in steps of 5. Directories named mono_augmented carry the variant
stack; the rare mono directories carry a single tokenization.
Index the leading axes to select a variant; index 0 is the unshifted tokenization in every case.
Full details of the augmentation scheme are in Appendix B of the supplementary material, published with the article at doi.org/10.1109/TASLPRO.2025.3648794.
Licensing
Released under CC BY-NC-SA 4.0, matching the original corpus. ASAP is likewise CC BY-NC-SA 4.0.
The full per-corpus license table, and the conflicts between them, are documented in the code repository. This is not legal advice — verify the current terms with the corpus publisher before redistributing or using commercially.
Citation
Please cite the U-MusT paper, and also the original corpus as required by its license.
@article{jung2026umust,
title = {U-MusT: A Unified Framework for Cross-Modal Translation of Score Images, Symbolic Music, and Performance Audio},
author = {Jung, Jongmin and Kim, Dongmin and Lee, Sihun and Cho, Seola and Soh, Hyungjoon and Bukey, Irmak and Donahue, Chris and Jeong, Dasaem},
journal = {IEEE Transactions on Audio, Speech and Language Processing},
volume = {34},
pages = {1876--1891},
year = {2026},
doi = {10.1109/TASLPRO.2025.3648794}
}
- Downloads last month
- 27