PDMX
dataset·public domain musicxml·active
Large MusicXML collection of scores labeled public domain, with score and user-interaction metadata.
Verified facts
| Official site | https://pnlong.github.io/PDMX.demo/ ↗ |
|---|---|
| Geography | United States |
| doi | 10.5281/zenodo.14648209 |
| arxiv | 2409.10831 |
| github repository | pnlong/PDMX |
| size | scores: 254077 · deposit gb: 14.1 · estimated hours: 6250 |
| scope | Copyright-conscious symbolic music processing and generation. |
| genres | multiple; strong classical/public-domain representation |
| license | CC0 / public-domain claim |
| steward | UC San Diego research authors |
| creators | Phillip Long; Zachary Novack; Taylor Berg-Kirkpatrick; Julian McAuley |
| languages | multilingual score metadata |
| modalities | MusicXML; PDF; CSV metadata; tags; user interactions |
| geographies | Global |
| access method | Zenodo archives, GitHub code and Hugging Face links. |
| intended uses | symbolic music generation; score analysis; data-quality research |
| related papers | PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing |
| annotation method | Platform metadata and interaction signals retained; subsets created for quality analysis. |
| collection method | Scores collected from MuseScore and filtered for public-domain status. |
| provenance claims | Authors describe the selected scores as public domain and the release as copyright-free. |
| current availability | Zenodo record and repository active. |
| commercial use limits | No dataset-level commercial restriction claimed. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
| limitations biases disputes | Public-domain classification depends on metadata and jurisdiction.; MuseScore user metadata may be incomplete or incorrect. |
| redistribution restrictions | No restriction claimed for selected public-domain scores; source-platform terms require review. |
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0d ago · mediumhow verification works
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