---
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-*
---

<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)](_blank) 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{john2025doe,
  title     = {{}},
  author    = {},
  journal   = {{}},
  volume    = {},
  pages     = {},
  year      = {},
  publisher = {},
  doi       = {},
}
```

---

<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.