Update soybean_dataset.py

soybean_dataset.py

@@ -98,33 +98,22 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
           citation=_CITATION,
       )
 
-    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
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
         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": downloaded_files["train"]}),
+                name=datasets.Split.TRAIN, 
+                gen_kwargs={"filepath": os.path.join(downloaded_files["train"], 'some_subfolder_if_exists')}),
             datasets.SplitGenerator(
-                name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"]}),    
+                name=datasets.Split.TEST, 
+                gen_kwargs={"filepath": os.path.join(downloaded_files["test"], 'some_subfolder_if_exists')}),
             datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["valid"]}),
+                name=datasets.Split.VALIDATION, 
+                gen_kwargs={"filepath": os.path.join(downloaded_files["valid"], 'some_subfolder_if_exists')}),
         ]
 
-    # def process_image(self,image_url):
-    #         response = requests.get(image_url)
-    #         response.raise_for_status()  # This will raise an exception if there is a download error
-
-    #         # Open the image from the downloaded bytes and return the PIL Image
-    #         img = Image.open(BytesIO(response.content))
-    #         return img
-        
-
 
     def _generate_examples(self, filepath):
         logging.info("Generating examples from = %s", filepath)