OSSQ-OMR is the first multi-part OMR dataset, pairing 116 aligned string quartet scores with three symbolic encodings, and its benchmark shows encoding choice matters more than architecture.
The remainder of the section describes the experimental details: baseline models, tok- enization schemes, data splits, and evaluation metrics
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A Dataset and Benchmark for Optical Music Recognition of String Quartet Scores
OSSQ-OMR is the first multi-part OMR dataset, pairing 116 aligned string quartet scores with three symbolic encodings, and its benchmark shows encoding choice matters more than architecture.