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<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 4.0 Partwise//EN" "http://www.musicxml.org/dtds/partwise.dtd"> <score-partwise version="4.0"> <work> <work-title>1</work-title> </work> <identification> <creator type="composer">C. Debussy</creator> <enc...
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<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE score-partwise PUBLIC "-//Recordare//DTD MusicXML 4.0 Partwise//EN" "http://www.musicxml.org/dtds/partwise.dtd"> <score-partwise version="4.0"> <work> <work-title>1</work-title> </work> <identification> <creator type="composer">C. Debussy</creator> <enc...
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Debussy OMR – System-Level Dataset

A dataset of 491 paired samples of cropped system images from handwritten music scores written by Claude Debussy (French Composer, 1862 - 1918) and their corresponding MusicXML transcriptions.

The manuscript images originate from the collections of the Bibliothèque nationale de France (BnF) and were accessed through the IIIF protocol.

Dataset Description

Property Value
Samples 491
Documents 37
Pages 101
Image format JPEG
Transcription format MusicXML 4.0
Image width 812–6 349 px
Image height 350–1 234 px
Total size ~339 MB

Each sample represents one staff system cropped from a page of a handwritten manuscript. The MusicXML transcription contains the corresponding musical content encoded at the system level.

The dataset can be used to evaluate optical music recognition (OMR) models.

Transcription guidelines

Our primary objective was to produce an Optical Music Recognition (OMR) dataset designed to evaluate SOTA models on historical handwritten sources. To ensure the highest level of fidelity to the original manuscripts, we utilized MusicXML as our primary format, implementing specific encoding conventions to bridge the gap between physical notation and digital representation.

Encoding Conventions & Metadata Mapping

TODO: add html colors code.

To accurately represent the nuances of the handwritten sources within the MusicXML schema, we applied the following mapping logic:

  • Implicit Symbols: Musical elements necessary for digital parsing but absent from the physical manuscript are flagged using MuseScore’s invisible function or the MusicXML attribute print-object="no".
  • Symbol Mapping via Color Attributes: We repurposed color attributes to categorize specific handwritten phenomena and non-standard notation:
    • Beat Repeats (Magenta - #FF40FF): Rests encoded in this color represent beat repeat symbols.
    • Non-Orthodox Repeats (Yellow): Used to identify non-standard or irregular repeat signs.
    • Specific Trill Types: * Cyan: Indicates flat trills.
      • Brown: Indicates sharp trills.
    • Editorial & Physical Features (Green): Rests in green denote specific manuscript characteristics, such as erasures, editorial notes, or other physical artifacts.

Vocabulary description

TODO.

Data Fields

Field Type Description
image Image Cropped system image (JPEG)
musicxml string Full MusicXML transcription of the system
document_id string BnF ARK identifier (e.g., 12148_btv1b10073993b)
folio int32 Folio/page number within the document
system_number int32 System index on the page (1-based)
filename string Original filename stem (without extension)

Splits

Split Samples
test 491

Usage

from datasets import load_dataset

ds = load_dataset("HugoSchtr/debussy-omr-system-lvl", split="test")

sample = ds[0]
sample["image"].show()          # PIL Image
print(sample["musicxml"][:200]) # MusicXML string
print(sample["document_id"])    # e.g. "12148_btv1b10073993b"

Source

The manuscript images come from the Gallica digital library of the BnF. The MusicXML transcriptions were produced using MuseScore Studio 4.

Citation

If you use this dataset, please cite:

@misc{debussy_omr_system_lvl,
  title={Debussy OMR System-Level Dataset},
  author={Hugo Scheithauer},
  year={2026},
  url={https://huggingface.co/datasets/HugoSchtr/debussy-omr-system-lvl}
}
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