added original subset indicator

SPIDER.py

@@ -73,8 +73,37 @@ _CITATION = """\
 # TODO: Add description of the dataset here
 # You can copy an official description
 _DESCRIPTION = """\
-This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
-"""
+This is a large publicly available multi-center lumbar spine magnetic resonance \
+imaging (MRI) dataset with reference segmentations of vertebrae, intervertebral \
+discs (IVDs), and spinal canal. The dataset includes 447 sagittal T1 and T2 \
+MRI series from 218 studies of 218 patients with a history of low back pain. \
+The data was collected from four different hospitals. There is an additional \
+hidden test set, not available here, used in the accompanying SPIDER challenge \
+on spider.grand-challenge.org. We share this data to encourage wider \
+participation and collaboration in the field of spine segmentation, and \
+ultimately improve the diagnostic value of lumbar spine MRI.
+
+This file also provides the biological sex for all patients and the age for \
+the patients for which this was available. It also includes a number of \
+scanner and acquisition parameters for each individual MRI study. The dataset \
+also comes with radiological gradings found in a separate file for the \
+following degenerative changes:
+
+1.    Modic changes (type I, II or III)
+
+2.    Upper and lower endplate changes / Schmorl nodes (binary)
+
+3.    Spondylolisthesis (binary)
+
+4.    Disc herniation (binary)
+
+5.    Disc narrowing (binary)
+
+6.    Disc bulging (binary)
+
+7.    Pfirrman grade (grade 1 to 5). 
+
+All radiological gradings are provided per IVD level."""
 
 _HOMEPAGE = "https://zenodo.org/records/10159290"
 
@@ -106,7 +135,7 @@ class CustomBuilderConfig(datasets.BuilderConfig):
 
 
 class SPIDER(datasets.GeneratorBasedBuilder):
-    """TODO: Short description of my dataset."""
+    """TODO: Short description of my dataset.""" #TODO
 
     # Class attributes
     DEFAULT_WRITER_BATCH_SIZE = 16 # PyArrow default is too large for image data
@@ -174,6 +203,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
                 "TransmitCoilName": datasets.Value(dtype="string"),
                 "WindowCenter": datasets.Value(dtype="string"),
                 "WindowWidth": datasets.Value(dtype="string"),
+                "OrigSubset":datasets.Value(dtype="string"),
             },
             "rad_gradings": {
                 "IVD label": datasets.Sequence(datasets.Value("string")),
@@ -319,6 +349,7 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             overview_dict[key] = {
                 k:v for k,v in item.items() if k not in exclude_vars
             }
+            overview_dict[key]['OrigSubset'] = item['subset'] # Change name to original subset
 
         # Merge patient records for radiological gradings data
         grades_dict = {}