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Card: FluXray now ships in this repo; licenses listed per folder

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  1. README.md +16 -7
README.md CHANGED
@@ -1,5 +1,7 @@
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  ---
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- license: cc-by-4.0
 
 
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  pretty_name: FleXray Data
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  tags: [medical, x-ray, segmentation, anatomy]
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  ---
@@ -12,20 +14,25 @@ tags: [medical, x-ray, segmentation, anatomy]
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  Training and evaluation data for **FleXray**, a pan-anatomy X-ray segmentation model.
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  This repository holds every real X-ray source whose license permits redistribution,
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- repackaged in FleXray's common label protocol in the `fxr-dataset` package format.
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- Two companion releases complete the data described in the paper:
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- - **FluXray** (synthetic, CC BY-NC 4.0): `VictorButoi/fluxray` — 138,063 generatively
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- edited digitally reconstructed radiographs rendered from the 1,597 MOOSE CTs at 90 poses
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  each, quality-filtered, with exact overlapping masks for all 63 protocol structures.
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- Shipped as the training database itself (`FluXray/thunder_dbs/7.1/data.mdb`, an LMDB
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  of float16 256 x 256 images and 63-channel binary masks that `flexray` reads directly)
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  together with `samples.csv` (pose, split, MOOSE subject and per-sample license for
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  every image), `protocol.yml` (label order and mask thresholds), and the
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- `filter_*.csv` quality-control scores and thresholds.
 
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  - **MURA forearm/humerus annotations** (masks only, CC BY 4.0): bundled with the
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  FleXray GitHub repository and mirrored here under `mura_forearm_humerus_annotations/`
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  ## Redistributed datasets (CC BY 4.0)
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  | Dataset | Role in paper | Samples (train/val/test) | Labels | Source |
@@ -80,6 +87,7 @@ paper's partitions can be rebuilt exactly; see `splits/README.md` for the schema
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  pip install flexray
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  fxr-dataset pack HipRay/dataset.yml /data/flexray/HipRay # repeat per dataset
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  export XRAY_DATAPATH=/data/flexray
 
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  ```
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  ```yaml
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  Xray:
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  HipRay: {}
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  MendeleyCXR: {}
 
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  ```
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  ## Citation
 
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  ---
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+ license:
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+ - cc-by-4.0
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+ - cc-by-nc-4.0
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  pretty_name: FleXray Data
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  tags: [medical, x-ray, segmentation, anatomy]
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  ---
 
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  Training and evaluation data for **FleXray**, a pan-anatomy X-ray segmentation model.
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  This repository holds every real X-ray source whose license permits redistribution,
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+ repackaged in FleXray's common label protocol in the `fxr-dataset` package format
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+ (CC BY 4.0), plus two more parts of the data described in the paper:
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+ - **FluXray** (synthetic, CC BY-NC 4.0): `FluXray/` — 138,063 generatively edited
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+ digitally reconstructed radiographs rendered from the 1,597 MOOSE CTs at 90 poses
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  each, quality-filtered, with exact overlapping masks for all 63 protocol structures.
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+ Shipped as the training database itself (`FluXray/thunder_dbs/1.0/data.mdb`, an LMDB
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  of float16 256 x 256 images and 63-channel binary masks that `flexray` reads directly)
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  together with `samples.csv` (pose, split, MOOSE subject and per-sample license for
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  every image), `protocol.yml` (label order and mask thresholds), and the
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+ `filter_*.csv` quality-control scores and thresholds. `FluXray/README.md` documents
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+ every file; `FluXray/LICENSE` summarizes the license.
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  - **MURA forearm/humerus annotations** (masks only, CC BY 4.0): bundled with the
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  FleXray GitHub repository and mirrored here under `mura_forearm_humerus_annotations/`
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+ Licenses therefore differ by folder: the redistributed real X-ray folders, `splits/`,
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+ and the MURA annotations are CC BY 4.0; `FluXray/` is CC BY-NC 4.0 as a collection,
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+ with each image inheriting the license of its MOOSE source site.
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+
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  ## Redistributed datasets (CC BY 4.0)
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  | Dataset | Role in paper | Samples (train/val/test) | Labels | Source |
 
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  pip install flexray
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  fxr-dataset pack HipRay/dataset.yml /data/flexray/HipRay # repeat per dataset
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  export XRAY_DATAPATH=/data/flexray
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+ export GENERATED_DATAPATH=/path/to/this/download # contains FluXray/
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  ```
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  ```yaml
 
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  Xray:
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  HipRay: {}
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  MendeleyCXR: {}
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+ FluXray: {version: "1.0"}
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  ```
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  ## Citation