README.md

metadata

tags:
  - music
  - documents
  - end-to-end
  - amnlt
  - staff-level
annotations_creators:
  - manually expert-generated
pretty_name: Aligned Music Notation and Lyrics Transcription
size_categories:
  - 1K<n<10K
task_categories:
  - image-to-text
subtasks:
  - lyrics and music alignment
extra_gated_fields:
  Affiliation: text

AMNLT: Aligned Music Notation and Lyrics Transcription

Aligned Music Notation and Lyrics Transcription

📄 Full paper available here.

About • How to Use • Citations • License

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📚 About

This repository serves as an index for the four staff-level datasets used in the AMNLT (Aligned Music Notation and Lyrics Transcription) challenge:

1. Einsiedeln Staff-Level
2. Salzinnes Staff-Level
3. Solesmes Staff-Level
4. GregoSynth Staff-Level

---

⚙️ How to Use

To use any of these datasets, you must first request access. Once access is granted, load the dataset using:

from datasets import load_dataset

ds = load_dataset("PRAIG/{dataset}")  # Replace {dataset} with the dataset name

ds["train"][0]["image"].save("example_image.png")
print(ds["train"][0]["transcription"])

---

📖 Citations

If you use this work in your research, please cite us:

@article{FUENTESMARTINEZ2026112094,
  title     = {Aligned music notation and lyrics transcription},
  author    = {Eliseo Fuentes-Martínez and Antonio Ríos-Vila and Juan C. Martinez-Sevilla and David Rizo and Jorge Calvo-Zaragoza},
  journal   = {Pattern Recognition},
  volume    = {170},
  pages     = {112094},
  year      = {2026},
  issn      = {0031-3203},
  doi       = {https://doi.org/10.1016/j.patcog.2025.112094},
}

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📝 License

These datasets are under the cc-by-nc-4.0 license, which permits use, distribution, and adaptation for non-commercial purposes, provided proper attribution is given.