fix split generator for task1 config

skin-lesion.py

@@ -245,7 +245,7 @@ class LesionDataset(datasets.GeneratorBasedBuilder):
 
                     yield base_name, yield_result
 
-        else:
+        elif self.config.name in ['globules', 'milia_like_cyst', 'negative_network', 'pigment_network', 'streaks']:
             for filename in os.listdir(filepath):
                 if filename.endswith('.jpg') or filename.endswith('.jpeg'):
                     base_name = os.path.splitext(filename)[0]
@@ -270,6 +270,31 @@ class LesionDataset(datasets.GeneratorBasedBuilder):
 
                     yield base_name, yield_result
 
+        elif self.config.name == "task1":
+            for filename in os.listdir(filepath):
+                if filename.endswith('.jpg') or filename.endswith('.jpeg'):
+                    base_name = os.path.splitext(filename)[0]
+
+                    yield_result = {"image": os.path.join(filepath, filename)}
+                    label_filename = f'{base_name}_segmentation.png'
+                    label_file_path = os.path.join(labelpath, label_filename)
+
+                    # if attribute label does not exist, create a black mask for it
+                    if not os.path.exists(label_file_path):
+                        # Load the corresponding image to get its size
+                        img = Image.open(yield_result['image'])
+                        width, height = img.size
+
+                        # Create a black image of the same size
+                        black_img = Image.fromarray(np.zeros((height, width), dtype=np.uint8))
+
+                        # Save the black image
+                        black_img.save(label_file_path)
+
+                    yield_result["label"] = label_file_path
+
+                    yield base_name, yield_result
+
 
 
 # datasets-cli test /Users/jon/code/school/t8/DeepLearning/proj/lesion-dataset.py --save_info --all_configs