diff --git a/pipeline.yaml b/pipeline.yaml
index d8cef59..9a73e56 100644
--- a/pipeline.yaml
+++ b/pipeline.yaml
@@ -1568,8 +1568,8 @@ deploymentSpec:
           \            set_precomputed_skills_data_ratio(\n                sampling_size=sdg_sampling_size,\
           \ skills_recipe=skills_recipe\n            )\n        except PermissionError:\n\
           \            print(\"Failed to set precomputed skills data ratio: Permission\
-          \ denied\")\n            print(\"Attempting to override DataMixer class\
-          \ to set the ratio\")\n            import os\n            import shutil\n\
+          \ denied\")\n            print(\"Attempting to move default data recipes\
+          \ to temporary directory\")\n            import os\n            import shutil\n\
           \            import tempfile\n\n            import xdg_base_dirs\n\n   \
           \         # Create a temporary directory\n            with tempfile.TemporaryDirectory()\
           \ as temp_dir:\n                # Create a default_data_recipes directory\n\
@@ -1586,19 +1586,22 @@ deploymentSpec:
           pipeline\")\n                os.mkdir(temp_pipeline_dir)\n             \
           \   for d in data_dirs:\n                    pipeline_path = os.path.join(d,\
           \ \"pipelines\", pipeline)\n                    if os.path.exists(pipeline_path):\n\
-          \                        shutil.copytree(pipeline_path, temp_pipeline_dir)\n\
-          \                        break\n\n                # Build new skills.yaml\
-          \ path\n                new_skills_recipe = path.join(temp_dir, \"skills.yaml\"\
-          )\n                print(f\"New skills recipe path: {new_skills_recipe}\"\
-          )\n\n                # Override XDG_DATA_DIRS with the temporary directory\n\
+          \                        shutil.copytree(\n                            pipeline_path,\n\
+          \                            temp_pipeline_dir,\n                      \
+          \      dirs_exist_ok=True,\n                        )\n                \
+          \        break\n\n                # Build new skills.yaml path\n       \
+          \         new_skills_recipe = path.join(temp_dir, \"skills.yaml\")\n   \
+          \             print(f\"New skills recipe path: {new_skills_recipe}\")\n\n\
+          \                # Override XDG_DATA_DIRS with the temporary directory\n\
           \                # This allows SDG to read the new skills.yaml since it's\
           \ looking into XDG_DATA_DIRS\n                # and looks for a default_data_recipes\
           \ directory with a skills.yaml file\n                os.environ[\"XDG_DATA_DIRS\"\
           ] = f\"{temp_dir}\"\n\n                # Try to set the precomputed skills\
           \ data ratio again\n                try:\n                    set_precomputed_skills_data_ratio(\n\
           \                        sampling_size=sdg_sampling_size, skills_recipe=new_skills_recipe\n\
-          \                    )\n                    print(\"Successfully set precomputed\
-          \ skills data ratio\")\n\n                    # generate_data has a magic\
+          \                    )\n                    print(\n                   \
+          \     f\"Successfully set precomputed skills data ratio to {sdg_sampling_size}\"\
+          \n                    )\n\n                    # generate_data has a magic\
           \ word for its taxonomy_base argument - 'empty'\n                    # it\
           \ allows generating from the whole repo, see:\n                    # https://github.com/instructlab/sdg/blob/c6a9e74a1618b1077cd38e713b8aaed8b7c0c8ce/src/instructlab/sdg/utils/taxonomy.py#L230\n\
           \                    instructlab.sdg.generate_data(\n                  \
diff --git a/sdg/components.py b/sdg/components.py
index 941815b..40f0b4b 100644
--- a/sdg/components.py
+++ b/sdg/components.py
@@ -103,7 +103,7 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
             )
         except PermissionError:
             print("Failed to set precomputed skills data ratio: Permission denied")
-            print("Attempting to override DataMixer class to set the ratio")
+            print("Attempting to move default data recipes to temporary directory")
             import os
             import shutil
             import tempfile
@@ -131,7 +131,11 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
                 for d in data_dirs:
                     pipeline_path = os.path.join(d, "pipelines", pipeline)
                     if os.path.exists(pipeline_path):
-                        shutil.copytree(pipeline_path, temp_pipeline_dir)
+                        shutil.copytree(
+                            pipeline_path,
+                            temp_pipeline_dir,
+                            dirs_exist_ok=True,
+                        )
                         break
 
                 # Build new skills.yaml path
@@ -148,7 +152,9 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
                     set_precomputed_skills_data_ratio(
                         sampling_size=sdg_sampling_size, skills_recipe=new_skills_recipe
                     )
-                    print("Successfully set precomputed skills data ratio")
+                    print(
+                        f"Successfully set precomputed skills data ratio to {sdg_sampling_size}"
+                    )
 
                     # generate_data has a magic word for its taxonomy_base argument - 'empty'
                     # it allows generating from the whole repo, see:
diff --git a/standalone/standalone.py b/standalone/standalone.py
index 7c1f41e..f85c476 100755
--- a/standalone/standalone.py
+++ b/standalone/standalone.py
@@ -1198,7 +1198,7 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
             )
         except PermissionError:
             print("Failed to set precomputed skills data ratio: Permission denied")
-            print("Attempting to override DataMixer class to set the ratio")
+            print("Attempting to move default data recipes to temporary directory")
             import os
             import shutil
             import tempfile
@@ -1226,7 +1226,11 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
                 for d in data_dirs:
                     pipeline_path = os.path.join(d, "pipelines", pipeline)
                     if os.path.exists(pipeline_path):
-                        shutil.copytree(pipeline_path, temp_pipeline_dir)
+                        shutil.copytree(
+                            pipeline_path,
+                            temp_pipeline_dir,
+                            dirs_exist_ok=True,
+                        )
                         break
 
                 # Build new skills.yaml path
@@ -1243,7 +1247,9 @@ def set_precomputed_skills_data_ratio(sampling_size: float, skills_recipe: str):
                     set_precomputed_skills_data_ratio(
                         sampling_size=sdg_sampling_size, skills_recipe=new_skills_recipe
                     )
-                    print("Successfully set precomputed skills data ratio")
+                    print(
+                        f"Successfully set precomputed skills data ratio to {sdg_sampling_size}"
+                    )
 
                     # generate_data has a magic word for its taxonomy_base argument - 'empty'
                     # it allows generating from the whole repo, see: