malerlab/olimpic-unirqvae3-ytsv

OLiMPiC score-image and notation tokens (U-MusT)

Tokenized OLiMPiC for U-MusT: RQ-VAE score-image tokens and LMX notation for the piano accompaniment of classical art songs, derived from the OpenScore Lieder corpus.

Both the synthetic and scanned image sets are included. The paper trains on the synthetic images only and evaluates on the scanned ones. No score images are 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.

Codec compatibility — read before pairing with a checkpoint

Image tokens are not interchangeable between codec generations. The unirqvae and unirqvae3 codebooks differ, so the same token index means different things. Pairing a checkpoint with tokens from the other generation produces meaningless output, silently.

Released run	Direction	Image codec it expects
run-20250225_062905-9n1554as	Image-to-Audio, piano	unirqvae3
run-20250130_150202-x9znhap2	Image-to-Audio, multi-instrument	unirqvae
run-20250128_025927-ks0ibl4v	Audio-to-Image, multi-instrument	unirqvae

Every published image-token dataset in this collection is unirqvae3, so only the piano Image-to-Audio run pairs with them directly. For the strings and Audio-to-Image runs, image tokens must be re-baked with unirqvae-ytsv using scripts/bake_image_tokens.py from the code repository. This matters most for the Audio-to-Image direction, where image tokens are the output target — evaluating it against unirqvae3 tokens measures nothing.

infer.py reads the tokenizer from each run's own files/config.yaml, so inference on a downloaded checkpoint selects the right codec automatically. The mismatch only arises when pairing a checkpoint with a token dataset by hand.

Licensing

Released under CC BY-SA 4.0, matching the original corpus.

Unlike the other token repositories in this collection, no non-commercial condition is applied here — because CC BY-SA 4.0 does not permit adding one. Share-alike requires derivatives to carry the same license, and CC BY-NC-SA 4.0 is not a compatible license under Creative Commons' own compatibility list. Commercial use is therefore permitted by this repository's license, and any derivative you distribute must itself be CC BY-SA 4.0.

Please also credit OpenScore Lieder, which OLiMPiC is built from (itself CC0, requesting credit).

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}
}