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.
Batch sizes are 64 at the system level and 256 at the part level (reflecting the∼4×larger sample count)
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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.