mlsanityData to 7 Oct 2026

PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing

arXiv 2409.10831 ↗First posted 17 Sep 2024cs.SD cs.AI cs.LGcited by 15

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Abstract (arXiv)

The recent explosion of generative AI-Music systems has raised numerous concerns over data copyright, licensing music from musicians, and the conflict between open-source AI and large prestige companies. Such issues highlight the need for publicly available, copyright-free musical data, in which there is a large shortage, particularly for symbolic music data. To alleviate this issue, we present PDMX: a large-scale open-source dataset of over 250K public domain MusicXML scores collected from the score-sharing forum MuseScore, making it the largest available copyright-free symbolic music dataset to our knowledge. PDMX additionally includes a wealth of both tag and user interaction metadata, allowing us to efficiently analyze the dataset and filter for high quality user-generated scores. Given the additional metadata afforded by our data collection process, we conduct multitrack music generation experiments evaluating how different representative subsets of PDMX lead to different behaviors in downstream models, and how user-rating statistics can be used as an effective measure of data quality. Examples can be found at https://pnlong.github.io/PDMX.demo/.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). Builds on 19 of its 38 references that are in the map. First posted on arXiv 17 Sep 2024.

Builds on

19 of 38 references.

References · 19

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2021Deduplicating Training Data Makes Language Models Bettercited by 705
  4. 2023MusicLM: Generating Music From Textcited by 442
  5. 2018Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Datasetcited by 215
  6. 2024Fast Timing-Conditioned Latent Audio Diffusioncited by 178
  7. 2023MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategiescited by 94
  8. 2021MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Trainingcited by 89
  9. 2020POP909: A Pop-song Dataset for Music Arrangement Generationcited by 83
  10. 2024DITTO: Diffusion Inference-Time T-Optimization for Music Generationcited by 73
  11. 2021MT3: Multi-Task Multitrack Music Transcriptioncited by 70
  12. 2020The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measurescited by 53
7 more
  1. 2021EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generationcited by 53
  2. 2020SongMASS: Automatic Song Writing with Pre-training and Alignment Constraintcited by 41
  3. 2020MusPy: A Toolkit for Symbolic Music Generationcited by 37
  4. 2022Symphony Generation with Permutation Invariant Language Modelcited by 35
  5. 2023Anticipatory Music Transformercited by 35
  6. 2022Multitrack Music Transformercited by 28
  7. 2022Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approachcited by 17

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 10.

15 papers.

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