---
license: cc-by-nc-4.0
tags:
- music
- documents
- end-to-end
- full-page
- system-level
annotations_creators:
- manually expert-generated
pretty_name: JAZZMUS
size_categories:
- n<1K
task_categories:
- image-to-text
- image-segmentation
- text-retrieval
subtasks:
- document-retrieval
extra_gated_fields:
  Affiliation: text
dataset_info:
  features:
  - name: image
    dtype: image
  - name: id
    dtype: string
  - name: annotation
    dtype: string
  splits:
  - name: train
    num_bytes: 171465883.0
    num_examples: 293
  download_size: 137007918
  dataset_size: 171465883.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset

## How to use
Check the following code:
```python
import ast

from datasets import load_dataset
from PIL import ImageDraw


DATASET_NAME = "PRAIG/JAZZMUS"

ds = load_dataset(DATASET_NAME)

image = ds["train"][0]["image"]

# list of systems, with bounding boxes and encoding
systems = ast.literal_eval(ds["train"][0]["annotation"])["systems"]

# full page encodings
encoding = ast.literal_eval(ds["train"][0]["annotation"])["encodings"]
mxml_encoding = encoding["musicxml"]
kern_encoding = encoding["**kern"]

# draw the bounding boxes on the image
ImageDraw = ImageDraw.Draw(image)

for idx, s in enumerate(systems):
    print(f"System {idx + 1}:")
    print(f"\t{s['bounding_box']}")
    print(f"\t{repr(s['**kern'])}\n")
    bbox = s["bounding_box"]
    ImageDraw.rectangle(
        [bbox["fromX"], bbox["fromY"], bbox["toX"], bbox["toY"]],
        outline="red",
        width=2,
    )

image.save("image_with_bboxes.pdf", "PDF")

```

## Citation
```bibtex
```

```