update

OAIZIB-CM.py

@@ -32,8 +32,8 @@ class OAIZIBCMDataset(GeneratorBasedBuilder):
                 " - CartiMorph: https://github.com/YongchengYAO/CartiMorph\n"
                 " - CartiMorph Toolbox: https://github.com/YongchengYAO/CartiMorph-Toolbox\n"
                 " - https://github.com/YongchengYAO/CMT-AMAI24paper\n\n"
-                "Please cite the following if you use the dataset:\n"
-                "\n@article{YAO2024103035,\n"
+                "Please cite the following if you use the dataset:\n\n"
+                "@article{YAO2024103035,\n"
                 "title = {CartiMorph: A framework for automated knee articular cartilage morphometrics},\n"
                 "journal = {Medical Image Analysis},\n"
                 "author = {Yongcheng Yao and Junru Zhong and Liping Zhang and Sheheryar Khan and Weitian Chen},\n"
@@ -67,11 +67,11 @@ class OAIZIBCMDataset(GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # Get the directory where the dataset script is located.
+        # Use the directory of the current script to locate CSV files reliably.
         base_dir = os.path.dirname(__file__)
-        # Construct absolute paths for the CSV files.
         train_csv_path = os.path.join(base_dir, "train.csv")
         test_csv_path = os.path.join(base_dir, "test.csv")
+
         train_df = pd.read_csv(train_csv_path)
         test_df = pd.read_csv(test_csv_path)
         return [
@@ -95,12 +95,10 @@ class OAIZIBCMDataset(GeneratorBasedBuilder):
             base_img_dir = ""
             base_mask_dir = ""
 
-        # Iterate over each row in the CSV file; assume the CSV has 2 columns with file names.
+        # Iterate over each row in the CSV file; assume the CSV has 2 columns: 'image' and 'mask'
         for idx, row in df.iterrows():
-            # Extract file names from the first and second columns
-            img_file = row[0]
-            mask_file = row[1]
-            # Construct full paths
+            img_file = row["image"]
+            mask_file = row["mask"]
             img_path = os.path.join(base_img_dir, img_file)
             mask_path = os.path.join(base_mask_dir, mask_file)
             try: