diff --git a/embedding_converter/src/dataset.py b/embedding_converter/src/dataset.py
index 3d61aea..f9e074c 100644
--- a/embedding_converter/src/dataset.py
+++ b/embedding_converter/src/dataset.py
@@ -15,8 +15,8 @@ class DynamicDataset(Dataset[Tensor]):
 		self.transforms = self.compose_transforms()
 
 	def __getitem__(self, index : int) -> Batch:
-		image_path = random.choice(self.file_paths)
-		vision_frame = cv2.imread(image_path)
+		file_path = random.choice(self.file_paths)
+		vision_frame = cv2.imread(file_path)
 		return self.transforms(vision_frame)
 
 	def __len__(self) -> int:
diff --git a/face_swapper/src/dataset.py b/face_swapper/src/dataset.py
index de7f344..61bc4a3 100644
--- a/face_swapper/src/dataset.py
+++ b/face_swapper/src/dataset.py
@@ -16,12 +16,12 @@ class DynamicDataset(Dataset[Tensor]):
 		self.batch_ratio = batch_ratio
 
 	def __getitem__(self, index : int) -> Batch:
-		source_image_path = self.file_paths[index]
+		file_path = self.file_paths[index]
 
 		if random.random() < self.batch_ratio:
-			return self.prepare_equal_batch(source_image_path)
+			return self.prepare_equal_batch(file_path)
 
-		return self.prepare_different_batch(source_image_path)
+		return self.prepare_different_batch(file_path)
 
 	def __len__(self) -> int:
 		return len(self.file_paths)