diff --git a/.release b/.release
index f2d93d7da..e09b6ed62 100644
--- a/.release
+++ b/.release
@@ -1 +1 @@
-v23.1.2
\ No newline at end of file
+v23.1.3
\ No newline at end of file
diff --git a/README.md b/README.md
index ab20e5507..e378ea969 100644
--- a/README.md
+++ b/README.md
@@ -42,6 +42,7 @@ The GUI allows you to set the training parameters and generate and run the requi
   - [SDXL training](#sdxl-training)
   - [Masked loss](#masked-loss)
   - [Change History](#change-history)
+    - [2024/04/08 (v23.1.3)](#20240408-v2313)
     - [2024/04/08 (v23.1.2)](#20240408-v2312)
     - [2024/04/07 (v23.1.1)](#20240407-v2311)
     - [2024/04/07 (v23.1.0)](#20240407-v2310)
@@ -405,6 +406,10 @@ ControlNet dataset is used to specify the mask. The mask images should be the RG
 
 ## Change History
 
+### 2024/04/08 (v23.1.3)
+
+- Fix dataset preparation bug.
+
 ### 2024/04/08 (v23.1.2)
 
 - Added config.toml support for wd14_caption.
diff --git a/kohya_gui/dreambooth_folder_creation_gui.py b/kohya_gui/dreambooth_folder_creation_gui.py
index 1a0fd3a98..a176d515e 100644
--- a/kohya_gui/dreambooth_folder_creation_gui.py
+++ b/kohya_gui/dreambooth_folder_creation_gui.py
@@ -12,13 +12,13 @@
 
 
 def copy_info_to_Folders_tab(training_folder):
-    img_folder = os.path.join(training_folder, "img")
+    img_folder = gr.Dropdown(value=os.path.join(training_folder, "img"))
     if os.path.exists(os.path.join(training_folder, "reg")):
-        reg_folder = os.path.join(training_folder, "reg")
+        reg_folder = gr.Dropdown(value=os.path.join(training_folder, "reg"))
     else:
-        reg_folder = ""
-    model_folder = os.path.join(training_folder, "model")
-    log_folder = os.path.join(training_folder, "log")
+        reg_folder = gr.Dropdown(value="")
+    model_folder = gr.Dropdown(value=os.path.join(training_folder, "model"))
+    log_folder = gr.Dropdown(value=os.path.join(training_folder, "log"))
 
     return img_folder, reg_folder, model_folder, log_folder
 
@@ -293,3 +293,17 @@ def list_train_output_dirs(path):
             ],
             show_progress=False,
         )
+        
+        
+        button_copy_info_to_Folders_tab = gr.Button('Copy info to respective fields')
+        button_copy_info_to_Folders_tab.click(
+            copy_info_to_Folders_tab,
+            inputs=[util_training_dir_output],
+            outputs=[
+                train_data_dir_input,
+                reg_data_dir_input,
+                output_dir_input,
+                logging_dir_input,
+            ],
+            show_progress=False,
+        )