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metadata
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

from datasets import load_dataset

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

Mandatory citation

If you use this dataset, please cite

@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}
}