removed TODO, restructured such that both examples run without error

example_data_loading.py

@@ -1,6 +1,6 @@
 from ben_txt_datamodule import BENTxTDataset, BENTxTDataModule
 
-if __name__ == "__main__":
+def create_dataset_example():
     # Datasets example using the Red (B04), Green (B03), and Blue (B02) band from the Sentinel-2 images.
     ds_rgb = BENTxTDataset(
         lmdb_file="Encoded-BigEarthNet/",
@@ -14,9 +14,9 @@ if __name__ == "__main__":
     print(f"Text input: {sample['text_input']}")
     print(f"Reference output: {sample['reference_output']}")
 
+def create_datamodule_example():
     # Lightning DataModule example using the 10m and 20m spatial resolution bands from Sentinel-1 and Sentinel-2 and multiple metadata filters.
     # The datamodule will create 4 dataloaders: train, val, test, and bench.
-    # TODO: Change image_lmdb_file path to the rico-hdl generated lmdb file path when available.
     dm = BENTxTDataModule(
         image_lmdb_file="Encoded-BigEarthNet/",
         metadata_file="BigEarthNet.txt.parquet",
@@ -39,4 +39,8 @@ if __name__ == "__main__":
         print(f"Batch image input shape: {batch['image_input'].shape}")
         print(f"First batch sample text input: {batch['text_input'][0]}")
         print(f"First batch sample text reference output: {batch['reference_output']}")
-        break
+        break
+
+if __name__ == "__main__":
+    create_dataset_example()
+    create_datamodule_example()