Datasetpublic

Shemuel0910/EchoXFlow

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… See the full description on the dataset page: https://huggingface.co/datasets/Shemuel0910/EchoXFlow.

sourceHugging Facecc-by-nc-sa-4.0updated 1mo agoView on Hugging Face

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EchoXFlow

![GitHub](https://github.com/Ahus-AIM/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:

bash

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:

bash

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.