Update soybean_dataset.py

soybean_dataset.py

@@ -98,20 +98,22 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
           citation=_CITATION,
       )
 
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLs
+        # Since the dataset is on Google Drive, you need to implement a way to download it using the Google Drive API.
+
+        # The path to the dataset file in Google Drive
         urls_to_download = self._URLs
         downloaded_files = dl_manager.download_and_extract(urls_to_download)
-    
+
+        # Since we're using a local file, we don't need to download it, so we just return the path.
         return [
             datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, 
-                gen_kwargs={"filepath": os.path.join(downloaded_files["train"], 'some_subfolder_if_exists')}),
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, 
-                gen_kwargs={"filepath": os.path.join(downloaded_files["test"], 'some_subfolder_if_exists')}),
+                name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),    
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, 
-                gen_kwargs={"filepath": os.path.join(downloaded_files["valid"], 'some_subfolder_if_exists')}),
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"]}),
         ]
 
 
@@ -133,7 +135,7 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
             if filename.endswith('_original.jpg'):
                 # Construct the unique ID and the corresponding segmentation image name
                 unique_id = filename.split('_')[0]
-                segmentation_image_name = filename.replace('_original.jpg', '_segmentation.png')
+                segmentation_image_name = filename.replace('_original.jpg', '_segmentation.jpg')
                 
                 # Construct full paths to the image files
                 original_image_path = os.path.join(filepath, filename)