Update Populus_Stomatal_Images_Datasets.py

Populus_Stomatal_Images_Datasets.py

@@ -114,12 +114,15 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             "csv": "https://huggingface.co/datasets/XintongHe/Populus_Stomatal_Images_Datasets/resolve/main/data/Labeled Stomatal Images.csv",
             "zip": "https://huggingface.co/datasets/XintongHe/Populus_Stomatal_Images_Datasets/resolve/main/data/Labeled Stomatal Images.zip"
         })
-        
-        species_info = pd.read_csv(data_files["csv"])
-        extracted_images_path = os.path.join(data_files["zip"], "Labeled Stomatal Images")
+        extracted_images_path = 'https://huggingface.co/datasets/XintongHe/Populus_Stomatal_Images_Datasets/resolve/main/data/Labeled Stomatal Images_cconfig.zip'
+
+        # Load the CSV file containing species and scientific names
+        species_info = pd.read_csv(os.path.join(extracted_images_path, 'Labeled Stomatal Images.csv'))
 
-        # Get all image filenames
-        all_image_filenames = species_info['FileName'].apply(lambda x: x + '.jpg').tolist()
+        # Get all image filenames from the new configuration directory
+        all_image_filenames = [f for f in os.listdir(extracted_images_path) if f.endswith('.jpg')]
+
+        
         
         # No longer need to randomize and split the dataset
         return [datasets.SplitGenerator(