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Datasets:
abhid1234
/
omr-synth

Tasks:
Image-to-Text
Modalities:
Image
Size:
10K<n<100K
Tags:
optical-music-recognition
omr
music
jianpu
sargam
Synthetic
License:
Dataset card Data Studio Files
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omr-synth / README.md
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omr-synth dataset: 30k synthetic pages (3 notations) + manifest + card
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metadata 
license: mit
task_categories:
  - image-to-text
tags:
  - optical-music-recognition
  - omr
  - music
  - jianpu
  - sargam
  - synthetic
size_categories:
  - 10K<n<100K

omr-synth — 30,000 synthetic music-notation pages (Western · Jianpu · Sargam)

Render-forward synthetic data for optical music recognition of the notations general vision models can't read. One symbolic score → three renderers → one shared OMRDSL target. Every image ships with a perfect label — no human transcription. Built for a weekend learning project.

Contents

  • omr-synth-30k.tar.gz — 30,000 (image, target) pairs: images/*.png + targets/*.omrdsl. 10,000 each of Western staff, Jianpu (简谱), Sargam. Curriculum levels 0–3 (clean → manuscript-like).
  • manifest.jsonl — one row per example: id, image, target, notation, renderer, curriculum, width, height.
  • samples/ — a small browsable preview.

How it's made

Western: MusicXML → Verovio → CairoSVG. Jianpu & Sargam: drawn programmatically from the same symbolic record. Deterministic by seed; fully regenerable from the repo (make synth SIZE=n).

Splits

Stable train/val/test (80/10/10) by hashing each id (src/data/split.py). MIT · Abhi Das.