feat: EchoXFlow dataset (1-50)

.gitattributes

@@ -58,3 +58,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+croissant.json filter=lfs diff=lfs merge=lfs -text

LICENSE

@@ -0,0 +1,438 @@
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+

README.md

@@ -1,3 +1,43 @@
----
-license: cc-by-nc-sa-4.0
----
+---
+license: cc-by-nc-sa-4.0
+---
+
+# 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.

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