moved from HF to GH repo

README.md

@@ -163,3 +163,16 @@ The dataset is published under a CC-BY 4.0 license: https://creativecommons.org/
 Jasper W. van der Graaf, Miranda L. van Hooff, Constantinus F. M. Buckens, Matthieu Rutten, 
 Job L. C. van Susante, Robert Jan Kroeze, Marinus de Kleuver, Bram van Ginneken, Nikolas Lessmann. (2023).
 *Lumbar spine segmentation in MR images: a dataset and a public benchmark.* https://arxiv.org/abs/2306.12217.
+
+
+
+
+# Rescale mask intensities to [0, 255] and cast as UInt8 type
+mask = sitk.Cast(sitk.RescaleIntensity(sitk.ReadImage(mask_path)), sitk.sitkUInt8)
+# Rescale image intensities to [0, 255] and cast as UInt8 type
+image = sitk.Cast(sitk.RescaleIntensity(image), sitk.sitkUInt8)
+
+            # NOTE: since the original array shape is not standardized, cannot return in dataset
+
+# Images and masks are resized to (512, 512, 30) and rescaled to [0, 255] (unisgned 8-bit integers); paths to original
+.mha images and masks are also provided if you would prefer to load original image (for example, using SimpleSITK library)

SPIDER.py

@@ -268,7 +268,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         split: str,
         scan_types: List[str],
         resize_shape: Tuple[int, int, int],
-        validate_share: float = 0.3,
+        validate_share: float = 0.2,
         test_share: float = 0.2,
         random_seed: int = 9999,
     ) -> Tuple[str, Dict]: