Processed Score Graph Dataset for the Score Autoencoder (score-ae)

This is a processed version of the  PDMX dataset (deduplicated and no license conflict) using GraphMuse Library.

This dataset is used by the score-ae repository:https://github.com/hendrik-roth/score-ae

Each graph represents a single music score with up to 1,530 notes and 7 edge types (onset, consecutive, during, rest, and their reverses). Notes carry 14 discrete features: grid position, micro offset, measure index, voice, staff, pitch (step/alter/octave), duration, clef, time signature (beats/beat type), key signature (fifths/mode).

Includes pre-built vocabularies (duration, grid, micro offset) and train/val/test splits (54,833 / 6,854 / 6,855).

For further information on PDMX, see their dataset and paper: Long, Phillip, et al. “PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing.” ICASSP 2025 – 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Apr. 2025, pp. 1–5. DOI: 10.1109/ICASSP49660.2025.10890217.For further information on GraphMuse, see their github and paper:E. Karystinaios and G. Widmer, “GraphMuse: A Library for Symbolic Music Graph Processing,” in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2024. Available: https://arxiv.org/abs/2407.12671https://github.com/manoskary/graphmuse/

本数据集是借助GraphMuse库（GraphMuse Library）对PDMX数据集进行处理后得到的版本，已完成去重且无授权冲突。
该数据集被score-ae仓库所使用：https://github.com/hendrik-roth/score-ae
每张图谱对应一份独立乐谱，最多包含1530个音符与7种边类型：起始（onset）、连续（consecutive）、期间（during）、休止（rest）及其反向形式。音符带有14种离散特征：网格位置、微偏移、小节索引、声部、谱行、音高（step/alter/octave）、时值（duration）、谱号、拍号（beats/beat type）、调号（fifths/mode）。
数据集包含预构建的词汇表（时值、网格、微偏移）以及训练/验证/测试划分：54833 / 6854 / 6855。
如需了解PDMX数据集的更多信息，请参阅其数据集与论文：Long, Phillip, et al. "PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing." ICASSP 2025 – 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Apr. 2025, pp. 1–5. DOI: 10.1109/ICASSP49660.2025.10890217.
如需了解GraphMuse库（GraphMuse Library）的更多信息，请参阅其GitHub仓库与论文：E. Karystinaios and G. Widmer, "GraphMuse: A Library for Symbolic Music Graph Processing," in Proceedings of the International Society for Music Information Retrieval Conference (ISMIR), 2024. Available: https://arxiv.org/abs/2407.12671 https://github.com/manoskary/graphmuse/