| --- |
| license: cc-by-4.0 |
| pretty_name: CODA Repeat-Aware Jump Benchmark |
| size_categories: |
| - n<1K |
| tags: |
| - audio |
| - music |
| - score-following |
| - music-information-retrieval |
| - discontinuity-aware |
| - arxiv:2607.21899 |
| --- |
| |
| # CODA Repeat-Aware Jump Benchmark |
|
|
| This is the official repeat-aware jump evaluation benchmark for |
| [CODA: Cascaded Online Discontinuity-Aware Alignment for Real-Time Score Following](https://huggingface.co/papers/2607.21899). |
| It is derived from the 94-piece MSMD test split distributed with the |
| [CYOLO score-following dataset](https://zenodo.org/records/4745838). |
|
|
| This release is an evaluation benchmark. It is not a training split. |
|
|
| ## Subsets |
|
|
| | Subset | Pieces | Construction | |
| | --- | ---: | --- | |
| | `repeat` | 66 | Fixed, manually annotated written-repeat performance orders | |
| | `random` | 28 | Three deterministic synthetic jumps per non-repeat piece, using seed 42 and stable per-piece seeds | |
|
|
| The two configurations contain 94 unique pieces and have no cross-subset |
| overlap. The fixed repeat annotations are provided in |
| `repeat_annotations.json`. |
|
|
| ## Files |
|
|
| The versioned ZIP contains an evaluator-compatible pair of files for every |
| piece. |
|
|
| - `.wav` contains the original synthesized performance audio. |
| - `.npz` contains the score representation, augmented playback sequence, and |
| jump metadata consumed by CODA. |
| - `metadata.csv` records piece identifiers, subset information, jump counts, |
| generation seeds, and hashes. |
| - `manifest.json` records the exact piece lists, generation |
| parameters, per-piece random seeds, and SHA-256 hashes for all 188 data |
| files. |
|
|
| The complete evaluator-compatible release is also available as |
| `CODA_JumpBench_v1.0.0.zip`. |
|
|
| ## Download and evaluation |
|
|
| Download the complete archive with the Hugging Face CLI. |
|
|
| ```bash |
| hf download ValleyC/CODA-JumpBench CODA_JumpBench_v1.0.0.zip \ |
| --repo-type dataset --local-dir data |
| unzip data/CODA_JumpBench_v1.0.0.zip -d data/msmd |
| ``` |
|
|
| The resulting directories are `data/msmd/msmd_test_jump/repeat` and |
| `data/msmd/msmd_test_jump/random`. They can be passed directly to CODA's |
| `scripts/evaluate.py` or `scripts/evaluate_batch.py` with `--break_mode`. |
|
|
| The repository can also be downloaded programmatically. |
|
|
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="ValleyC/CODA-JumpBench", |
| repo_type="dataset", |
| local_dir="data/CODA-JumpBench", |
| ) |
| ``` |
|
|
| ## Release integrity |
|
|
| - Archive size: 183,908,305 bytes |
| - Archive SHA-256: `91f1acaffd29391065fee44efb021bcad0f69004a53c7a35b628ee2b6a5364b9` |
| - Annotation SHA-256: `7652fb8c823eba9b2e85bc28722d9e25d2e9f4694d876ad4ae95291456dc8f97` |
|
|
| The release was generated twice from clean output directories. Both runs |
| produced byte-identical manifests and file hashes. The final audit verified |
| 66 repeat pieces, 28 random pieces, zero overlap, 94 WAV/NPZ pairs, valid |
| audio, finite sequence fields, and every archived file against the manifest. |
|
|
| ## Generation |
|
|
| The benchmark can be regenerated from the base MSMD test set using the |
| [CODA repository](https://github.com/ValleyC/CODA). |
|
|
| ```bash |
| python scripts/generate_repeat_test.py \ |
| --input_dir data/msmd/msmd_test \ |
| --output_dir data/msmd/msmd_test_jump \ |
| --annotations data/repeat_annotations.json \ |
| --seed 42 \ |
| --clean_output |
| ``` |
|
|
| ## Provenance and license |
|
|
| The source data are based on |
| [MSMD](https://zenodo.org/records/2597505) and the preprocessed |
| [CYOLO score-following dataset](https://zenodo.org/records/4745838). Both |
| referenced Zenodo records identify the data license as Creative Commons |
| Attribution 4.0. This derived benchmark is released under CC BY 4.0. Please |
| attribute MSMD, CYOLO, and CODA when using it. CODA's MIT license applies to |
| the software repository, not to these dataset files. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{yang2026coda, |
| title={{CODA}: Cascaded Online Discontinuity-Aware Alignment for Real-Time Score Following}, |
| author={Yang, Yining and Chen, Ruogu and Han, Jie}, |
| booktitle={Proceedings of the 27th International Society for Music Information Retrieval Conference (ISMIR)}, |
| address={Abu Dhabi, UAE}, |
| year={2026} |
| } |
| ``` |
|
|
