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---
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}
}