license: cc-by-nc-sa-4.0
tags:
- echocardiography
- doppler-imaging
- mlcroissant
configs:
- config_name: default
data_files:
- split: metadata
path: splits.csv
EchoXFlow
This dataset repository contains Croissant metadata plus one uncompressed tar archive per exam.
Extraction
Clone or download the dataset repository first. With Git, this creates an EchoXFlow/ folder:
git lfs install
git clone https://huggingface.co/datasets/Ahus-AIM/EchoXFlow
cd EchoXFlow
The downloaded repository contains croissant.json plus one tar archive per exam under exams/. Extract every exam
archive into a local data/ directory to materialize the complete layout referenced by croissant.json:
mkdir -p data
cp croissant.json data/
for archive in exams/*.tar; do
tar -xf "$archive" -C data
done
export ECHOXFLOW_DATA_ROOT="$PWD/data"
After all archives are extracted, paths in croissant.json such as exams/<exam_id>/<recording_id>.zarr resolve
under data/.
Usage
Use the EchoXFlow code repository for data-reading utilities, task loaders, and export details:
https://github.com/Ahus-AIM/EchoXFlow
Packaging Notes
The original raw export used many small Zarr chunk files. The per-exam tar layout is used to keep the Hugging Face repository file count manageable while retaining the original Zarr stores.