Optical Music Recognition of Jazz Lead Sheets - Staff Level Dataset
We provide musical scores for 163 unique jazz standards in MusicXML and Humdrum **kern format. The latter is widely used in systems that output musical scores, because it is a compact and easy-to-handle format. The MusicXML scores are sourced from the Wikifonia database (discontinued in 2013) and have been partially corrected. We also leave the lyrics, if present in the original files, as they could be helpful for future extensions, but we don't consider them in this work.
How to use it
Check the following example.
from datasets import load_dataset
DATASET_NAME = "PRAIG/JAZZMUS_staffLevel"
ds = load_dataset(DATASET_NAME)
image = ds["train"][0]["image"]
transcription = ds["train"][0]["transcription"]
print(f"Image: {type(image)}")
print(f"Transcription: {repr(transcription)}")
Citation
⚠️ We are waiting ISMIR 2025 proceedings ⚠️
If you use our work, please cite us:
@inproceedings{juan_c_martinezsevilla_2025_jazz_ismir,
author = {Juan Carlos Martinez-Sevilla and
Francesco Foscarin and
Patricia Garcia-Iasci and
David Rizo and
Jorge Calvo-Zaragoza and
Gerhard Widmer},
title = {Optical Music Recognition of Jazz Lead Sheets
},
booktitle = {Proceedings of the 26th International Society for
Music Information Retrieval Conference
},
year = 2025,
pages = {...},
publisher = {ISMIR},
month = sep,
venue = {Daejeon, Korea},
doi = {...},
url = {...},
}
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Datasets used in OPTICAL MUSIC RECOGNITION OF JAZZ LEAD SHEETS - ISMIR 2025 - Daejeon, Korea
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