diff --git a/Docs: reorganize tutorial hierarchy.py b/Docs: reorganize tutorial hierarchy.py
new file mode 100644
index 00000000000..623b9b3dc93
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+++ b/Docs: reorganize tutorial hierarchy.py	
@@ -0,0 +1,51 @@
+import os
+import shutil
+
+import numpy as np
+from PIL import Image
+
+# Define the root directory and subdirectories
+root_dir = 'my_new_dataset'
+sub_dirs = ['sub_dir_1', 'sub_dir_2', 'sub_dir_3']
+splits = ['train', 'val', 'test']
+
+image_file_names = ['/content/torchgeo/images/geodataset.png', '/content/torchgeo/images/inria.png', '/content/torchgeo/images/vhr10.png']
+
+IMG_SIZE = 32
+
+
+# Function to create dummy input images
+def create_input_image(path: str, shape: tuple[int], pixel_values: list[int]) -> None:
+    data = np.random.choice(pixel_values, size=shape, replace=True).astype(np.uint8)
+    img = Image.fromarray(data)
+    img.save(path)
+
+
+# Function to create dummy targets
+def create_target_images(split: str, filename: str) -> None:
+    target_pixel_values = range(10)
+    path = os.path.join(root_dir, 'target', split, filename)
+    create_input_image(path, (IMG_SIZE, IMG_SIZE), target_pixel_values)
+
+
+# Create a new clean version when re-running the script
+if os.path.exists(root_dir):
+    shutil.rmtree(root_dir)
+
+# Create the directory structure
+for sub_dir in sub_dirs:
+    for split in splits:
+        os.makedirs(os.path.join(root_dir, sub_dir, split), exist_ok=True)
+
+# Create dummy data for all splits and filenames
+for split in splits:
+    for filename in image_file_names:
+        create_input_image(
+            os.path.join(root_dir, 'image', split, filename),
+            (IMG_SIZE, IMG_SIZE),
+            range(2**16),
+        )
+        create_target_images(split, filename.replace('_', '_target_'))
+
+# Zip directory
+shutil.make_archive(root_dir, 'zip', '.', root_dir)