AMNLT / README.md
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---
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
<p align="center">
<a href=""><img src="https://i.imgur.com/Iu7CvC1.png" alt="PRAIG-logo" width="100"></a>
</p>
<h1 align="center">Aligned Music Notation and Lyrics Transcription</h1>
<h4 align="center">📄 Full paper available <a href="https://www.sciencedirect.com/science/article/pii/S003132032500754X" target="_blank">here</a>.</h4>
<p align="center">
<img src="https://img.shields.io/static/v1?label=License&message=CC%20BY-NC%204.0&color=blue" alt="License">
</p>
<p align="center">
<a href="#about">About</a>
<a href="#how-to-use">How to Use</a>
<a href="#citations">Citations</a>
<a href="#license">License</a>
</p>
---
<a name=about></a>
## 📚 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](https://huggingface.co/datasets/PRAIG/Einsiedeln_staffLevel)
2. [Salzinnes Staff-Level](https://huggingface.co/datasets/PRAIG/Salzinnes_staffLevel)
3. [Solesmes Staff-Level](https://huggingface.co/datasets/PRAIG/Solesmes_staffLevel)
4. [GregoSynth Staff-Level](https://huggingface.co/datasets/PRAIG/GregoSynth_staffLevel)
---
<a name=how-to-use></a>
## ⚙️ How to Use
To use any of these datasets, you must first request access. Once access is granted, load the dataset using:
```python
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"])
```
---
<a name=citations></a>
## 📖 Citations
If you use this work in your research, please cite us:
```bibtex
@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},
}
```
---
<a name=license></a>
## 📝 License
These datasets are under the [cc-by-nc-4.0](https://creativecommons.org/licenses/by-nc/4.0/) license, which permits use, distribution, and adaptation for non-commercial purposes, provided proper attribution is given.