Published October 8, 2025 | Version v1
Dataset Open

MetaScore

Authors/Creators

  • 1. ROR icon University of California, San Diego

Description

Recent years have seen many audio-domain text-to-music generation models that rely on large amounts of text-audio pairs for training. However, symbolic-domain controllable music generation has lagged behind partly due to the lack of a large-scale symbolic music dataset with extensive metadata and captions. We present MetaScore, a new dataset consisting of 963K musical scores paired with rich metadata, including free-form user-annotated tags, collected from an online music forum, MuseScore. 

Files

a.zip

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Additional details

Identifiers

arXiv
arXiv:2410.02084

Related works

Is described by
Publication: arXiv:2410.02084 (arXiv)

Dates

Updated
2023-12-31