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---
tags:
- music
- documents
- end-to-end
- amnlt
- staff-level
annotations_creators:
- manually expert-generated
pretty_name: Solesmes Staff-Level
size_categories:
- 1K<n<10K
task_categories:
- image-to-text
subtasks:
- lyrics and music alignment
dataset_info:
features:
- name: image
dtype: image
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 14039048631.609
num_examples: 101263
- name: validation
num_bytes: 2756069858.095
num_examples: 18987
- name: test
num_bytes: 900920783.164
num_examples: 6329
download_size: 13322006559
dataset_size: 17696039272.868
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
extra_gated_fields:
Affiliation: text
---
<p align="center">
<a href=""><img src="https://i.imgur.com/Iu7CvC1.png" alt="PRAIG-logo" width="100"></a>
</p>
<h1 align="center">GregoSynth Staff-Level</h1>
<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 dataset is used in the [AMNLT (Aligned Music Notation and Lyrics Transcription)](https://www.sciencedirect.com/science/article/pii/S003132032500754X) challenge. To see the rest of the datasets within this task, access to [PRAIG/AMNLT](https://huggingface.co/datasets/PRAIG/AMNLT).
---
<a name=how-to-use></a>
## ⚙️ How to Use
To use this dataset, you must first request access. Once access is granted, load the dataset using:
```python
from datasets import load_dataset
ds = load_dataset("PRAIG/GregoSynth_staffLevel")
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.