ONOTE: A Large-Scale Omnimodal Benchmark for Music Notation Evaluation

ONOTE is a large-scale, omnimodal benchmark designed to evaluate music understanding across three major notation systems: Western Staff, Jianpu (Numbered Notation), and Guitar Tablature. The dataset is organized into sub-directories based on notation and instrument type. It was created by Weisiqing123 and last updated on April 1, —.

Use Cases

• Benchmarking model performance on music transcription tasks based on the three included notation systems.
• Training multimodal models for cross-notation music understanding based on the omnimodal structure.
• Evaluating music information retrieval systems on instrument-specific notation data.
• Researching the relationships between different symbolic music representations.

Strengths

• Designed as a large-scale benchmark, suggesting substantial scope.
• Covers three major music notation systems: Western Staff, Jianpu, and Guitar Tablature.
• Structured into sub-directories by notation and instrument type, indicating organization.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and sample data are unknown, which may limit suitability assessment.
• License information is unknown, which may restrict usage.

Provenance

Source

huggingface

Collection Method

Method of data gathering is not described.

Time Range

Temporal coverage of the data is not specified.

Freshness

Last updated 2026-04-01 20:44:09; freshness should be verified.

Geography

Spatial coverage of the data is not specified.