Update rsna-2023-abdominal-trauma-detection.py

rsna-2023-abdominal-trauma-detection.py

@@ -44,8 +44,6 @@ class RSNA2023AbdominalTraumaDetectionConfig(datasets.BuilderConfig):
         self.test_size = kwargs.pop("test_size", 0.1)
         self.random_state = kwargs.pop("random_state", 42)
         super(RSNA2023AbdominalTraumaDetectionConfig, self).__init__(**kwargs)
-        print(f"test_size: {self.test_size}")
-        print(f"random_state: {self.random_state}")
 
 
 class RSNA2023AbdominalTraumaDetection(datasets.GeneratorBasedBuilder):
@@ -163,10 +161,6 @@ class RSNA2023AbdominalTraumaDetection(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        print(self.config)
-        print(self.config.test_size)
-        print(self.config.random_state)
-        
         # segmentation: 206 segmentations and the relevant imgs, train_series_meta.csv, train_dicom_tags.parquet
         # classification: 4711 all imgs, train.csv, train_series_meta.csv, train_dicom_tags.parquet
         # classification-with-mask: 206 segmentations and the relevant imgs, train.csv, train_series_meta.csv, train_dicom_tags.parquet
@@ -243,7 +237,7 @@ class RSNA2023AbdominalTraumaDetection(datasets.GeneratorBasedBuilder):
         )
 
         train_series_meta_df, test_series_meta_df = train_test_split(
-            series_meta_df, test_size=0.1, random_state=42, shuffle=True
+            series_meta_df, test_size=self.config.test_size, random_state=self.config.random_state, shuffle=True
         )
 
         return [