minor text edits

SPIDER.py

@@ -34,7 +34,9 @@ def import_csv_data(filepath: str) -> List[Dict[str, str]]:
         for line in reader:
             results.append(line)
     return results
-    
+
+# Define constants
+N_PATIENTS = 257
 
 # TODO: Add BibTeX citation
 # Find for instance the citation on arxiv or on the dataset repo/website
@@ -159,10 +161,12 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # TODO: This method is tasked with downloading/extracting the data 
-        # and defining the splits depending on the configuration
-        # If several configurations are possible (listed in BUILDER_CONFIGS), 
-        # the configuration selected by the user is in self.config.name
+        """
+        This method is tasked with downloading/extracting the data 
+        and defining the splits depending on the configuration
+        If several configurations are possible (listed in BUILDER_CONFIGS), 
+        the configuration selected by the user is in self.config.name
+        """
 
         # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
         # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
@@ -172,7 +176,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "paths_dict": paths_dict,
                     "split": "train",
@@ -181,7 +184,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "paths_dict": paths_dict,
                     "split": "validate",
@@ -190,7 +192,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
                 gen_kwargs={
                     "paths_dict": paths_dict,
                     "split": "test",
@@ -199,7 +200,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             ),
         ]
 
-    # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(
         self,
         paths_dict: Dict[str, str],
@@ -242,7 +242,6 @@ class SPIDER(datasets.GeneratorBasedBuilder):
             Tuple (unique patient-scan ID, dict of 
         """
         # Set constants
-        N_PATIENTS = 257
         train_share = (1.0 - validate_share - test_share)
         np.random.seed(int(random_seed))