Update test.py

test.py

@@ -33,53 +33,53 @@ class imgdataset(datasets.GeneratorBasedBuilder):
     ]
 
 
-    def _info(self):
-        if self.config.name == "train":  
-            features = datasets.Features(
-                {
-                    "Class_name": datasets.Value("string"),
-                    "file_name": datasets.Value("string"),
-                    "file_id": datasets.Value("string")
-
-                }
-            )
-        else:  
-            features = datasets.Features(
-                {
-                    "Class_name": datasets.Value("string"),
-                    "file_name": datasets.Value("string"),
-                    "file_id": datasets.Value("string")
-
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features, 
-        )
+    # def _info(self):
+    #     if self.config.name == "train":  
+    #         features = datasets.Features(
+    #             {
+    #                 "Class_name": datasets.Value("string"),
+    #                 "file_name": datasets.Value("string"),
+    #                 "file_id": datasets.Value("string")
+
+    #             }
+    #         )
+    #     else:  
+    #         features = datasets.Features(
+    #             {
+    #                 "Class_name": datasets.Value("string"),
+    #                 "file_name": datasets.Value("string"),
+    #                 "file_id": datasets.Value("string")
+
+    #             }
+    #         )
+    #     return datasets.DatasetInfo(
+    #         description=_DESCRIPTION,
+    #         features=features, 
+    #     )
     
-    def _split_generators(self, dl_manager):
-        """This function returns the examples in the raw (text) form."""
+    # def _split_generators(self, dl_manager):
+    #     """This function returns the examples in the raw (text) form."""
         
-        # urls = _URLS[self.config.name]
-        # data_dir = dl_manager.download_and_extract(urls)
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join("/content/drive/MyDrive/", "train_dataset.csv"),
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": os.path.join("/content/drive/MyDrive/", "reg_dataset.csv"),
-                    "split": "reg",
-                },
-            ),
-       ]
+    #     # urls = _URLS[self.config.name]
+    #     # data_dir = dl_manager.download_and_extract(urls)
+    #     return [
+    #         datasets.SplitGenerator(
+    #             name=datasets.Split.TRAIN,
+    #             # These kwargs will be passed to _generate_examples
+    #             gen_kwargs={
+    #                 "filepath": os.path.join("/content/drive/MyDrive/", "train_dataset.csv"),
+    #                 "split": "train",
+    #             },
+    #         ),
+    #         datasets.SplitGenerator(
+    #             name=datasets.Split.VALIDATION,
+    #             # These kwargs will be passed to _generate_examples
+    #             gen_kwargs={
+    #                 "filepath": os.path.join("/content/drive/MyDrive/", "reg_dataset.csv"),
+    #                 "split": "reg",
+    #             },
+    #         ),
+    #    ]
     def _download_image(self, dl_manager):
 
 
@@ -111,23 +111,23 @@ class imgdataset(datasets.GeneratorBasedBuilder):
                 os.makedirs(folder)
             urllib.request.urlretrieve(url, path)
 
-    def _generate_examples(self, filepath, split):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                data = csv.loads(row)
-                if self.config.name == "train":  
-                    yield key, {
-                        "Class_name": datasets.Value("string"),
-                        "file_name": datasets.Value("string"),
-                        "file_id": datasets.Value("string")
-                    }
-                else:  
-                    yield key, {
-                        "Class_name": datasets.Value("string"),
-                        "file_name": datasets.Value("string"),
-                        "file_id": datasets.Value("string")
-                    }
+    # def _generate_examples(self, filepath, split):
+    #     # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
+    #     # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
+
+    #     with open(filepath, encoding="utf-8") as f:
+    #         for key, row in enumerate(f):
+    #             data = csv.loads(row)
+    #             if self.config.name == "train":  
+    #                 yield key, {
+    #                     "Class_name": datasets.Value("string"),
+    #                     "file_name": datasets.Value("string"),
+    #                     "file_id": datasets.Value("string")
+    #                 }
+    #             else:  
+    #                 yield key, {
+    #                     "Class_name": datasets.Value("string"),
+    #                     "file_name": datasets.Value("string"),
+    #                     "file_id": datasets.Value("string")
+    #                 }