MusicScore: A Large-Scale Dataset of Music Score Images with Metadata

MusicScore is a large-scale dataset of music score images paired with textual metadata. It was collected and processed from the International Music Score Library Project (IMSLP) by authors Yuheng Lin, Zheqi Dai, and Qiuqiang Kong. The dataset was last updated on June 20, 2024.

Use Cases

• Train optical music recognition models based on the image-text pair structure.
• Develop generative models for music scores based on the large-scale collection of score images.
• Conduct metadata analysis of classical music works based on the textual metadata paired with each score.

Strengths

• Large-scale collection sourced from the authoritative International Music Score Library Project (IMSLP).
• Multimodal structure pairing images of music score pages with corresponding textual metadata.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.

Provenance

Source

International Music Score Library Project (IMSLP)

Collection Method

Collected and processed from IMSLP.

Time Range

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Freshness

Last updated 2024-06-20 06:44:08; freshness should be verified.

Geography

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