---
license: apache-2.0
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: dat
    dtype: binary
  - name: hea
    dtype: string
  - name: mask
    dtype: image
  - name: img
    dtype: image
  - name: dat_T0
    dtype: binary
  - name: hea_T0
    dtype: string
  - name: mask_T0
    dtype: image
  - name: img_T0
    dtype: image
  splits:
  - name: train
    num_bytes: 134493058267
    num_examples: 4112
  - name: val
    num_bytes: 7134994661
    num_examples: 217
  download_size: 75032904415
  dataset_size: 141628052928
---

# Download the dataset
```python
from datasets import load_dataset

ds = load_dataset("Ahus-AIM/Open-ECG-Digitizer-Development-Dataset")
```

# Mandatory citation
If you use this dataset, please cite

```bibtex
@article{stenhede_digitizing_2026,
  title        = {Digitizing Paper {ECGs} at Scale: An Open-Source Algorithm for Clinical Research},
  author       = {Stenhede, Elias and Bjørnstad, Agnar Martin and Ranjbar, Arian},
  journal      = {npj Digital Medicine},
  year         = {2026},
  doi          = {10.1038/s41746-025-02327-1},
  url          = {https://doi.org/10.1038/s41746-025-02327-1},
  shorttitle   = {Digitizing Paper {ECGs} at Scale}
}