Update coco.py

coco.py

@@ -73,29 +73,19 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     # data = datasets.load_dataset('my_dataset', 'second_domain')
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="train", version=VERSION, description="This part of my dataset covers a first domain"),
-        datasets.BuilderConfig(name="second_domain", version=VERSION, description="This part of my dataset covers a second domain"),
     ]
 
     DEFAULT_CONFIG_NAME = "train"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
         # TODO: This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        if self.config.name == "train":  # This is the name of the configuration selected in BUILDER_CONFIGS above
-            features = datasets.Features(
+        features=datasets.Features(
                 {
                     "filepath": datasets.Value("string"),
                     "filename": datasets.Value("string"),
                     "raw": datasets.Value("string")
                 }
-            )
-        else:  # This is an example to show how to have different features for "first_domain" and "second_domain"
-            features = datasets.Features(
-                {
-                    "filepath": datasets.Value("string"),
-                    "filename": datasets.Value("string"),
-                    "raw": datasets.Value("string")
-                }
-            )
+            ),
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
@@ -125,9 +115,9 @@ class NewDataset(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath):
         """This function returns the examples in the raw (text) form."""
         logger.info("generating examples from = %s", filepath)
-        with open(filepath) as f:
-            squad = json.loads(f)
-            for image in squad["images"]:
+        with open(filepath, encoding="utf-8") as f:
+            data = json.loads(f)
+            for image in data["images"]:
                 filepath = image["filepath"]
                 filename = image["filename"]
                 for sentence in image["sentences"]: