adjustment fot CCS, notebook folder

datasets/ccs_librosa_datamodule.py

@@ -116,6 +116,7 @@ class CCSLibrosaDatamodule(_BaseDataModule):
                 for sub_dataset in results.get():
                     dataset.append(sub_dataset[0])
             datasets[data_option] = ConcatDataset(dataset)
+            print(f'{data_option}-dataset prepared.')
         self.datasets = datasets
         return datasets
 
@@ -133,6 +134,7 @@ class CCSLibrosaDatamodule(_BaseDataModule):
             for row in all_rows:
                 mel_dataset, class_id, _ = self._build_subdataset(row)
                 dataset.append(mel_dataset)
+            print(f'{data_option}-dataset prepared!')
             datasets[data_option] = ConcatDataset(dataset)
 
             # Build Weighted Sampler for train and val
@@ -158,6 +160,7 @@ class CCSLibrosaDatamodule(_BaseDataModule):
                     samplers[data_option] = None
         self.datasets = datasets
         self.samplers = samplers
+        print(f'Dataset {self.__class__.__name__} setup done.')
         return datasets
 
     def purge(self):