---
pretty_name: BEAT ICML 2026 Piano Dataset
size_categories:
- 100K<n<1M
---

# BEAT ICML 2026 Piano Dataset

This repository hosts the piano-score dataset release for **BEAT: Tokenizing
and Generating Symbolic Music by Uniform Temporal Steps** (ICML 2026).

## Released archive

`BEAT-ICML2026-piano-v3-dedup-musicxml.tar.gz` contains **169,283**
deduplicated piano scores in score-partwise MusicXML format. This is the v3
deduplicated release of the MuseScore-derived XML portion of the BEAT piano
corpus. The paper reports a broader piano training collection of approximately
208K pieces: about 193K MuseScore pieces before release filtering/deduplication,
plus about 15K piano pieces from the Lakh MIDI Dataset. The archive here does
not include that separate Lakh MIDI subset.

- Files: 169,283 `.musicxml`
- Archive size: 1,645,907,562 bytes
- SHA-256: `b39d2bb79fae10f96e60e782170b7af783215d8b942089b2eccbef354d650781`

## Privacy cleanup

The released copy removes document-level MusicXML identity and provenance
fields, including work/movement titles, creators, rights, source and encoding
information, uploader/miscellaneous fields, page credits, comments, and
processing instructions. Notes, score structure, part and instrument names,
lyrics, directions, harmony, tempo, and dynamics are preserved. The original
source files and metadata cache are not included.

## Using the data with BEAT

Clone [BEAT-code](https://github.com/Lekai-Qian/BEAT-code), extract the archive
into `data/piano_xml/`, and run:

```bash
python -m data_prep.xml2pianonpz --workers 32
accelerate launch --multi_gpu --num_processes 4 -m scripts.train_piano
```

The v3 preprocessor expands repeat bars and voltas by default, creates the NPZ
representation, and writes stable 80/10/10 train/eval/test manifests. See the
BEAT repository README for the full data layout and options.

## Rights notice

Removing embedded document metadata does not alter any rights that may apply to
the underlying musical works or source scores. Users are responsible for
ensuring that their access and use comply with applicable terms and law.

## Citation

```bibtex
@article{qian2026beat,
  title   = {BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps},
  author  = {Qian, Lekai and Gu, Haoyu and Zhao, Jingwei and Wang, Ziyu},
  journal = {arXiv preprint arXiv:2604.19532},
  year    = {2026}
}
```