| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - echocardiography | |
| - doppler-imaging | |
| - mlcroissant | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: metadata | |
| path: splits.csv | |
| # EchoXFlow | |
| [](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. | |