fixed config

bernice-pretrain-data.py

@@ -61,27 +61,27 @@ _BASE_DATA_URL = "data"
 class BernicePretrainData(datasets.GeneratorBasedBuilder):
     """Tweet IDs for the 2.5 billion multilingual tweets used to train Bernice, a Twitter encoder."""
     VERSION = datasets.Version("1.0.0")
+    # This is an example of a dataset with multiple configurations.
+    # If you don't want/need to define several sub-sets in your dataset,
+    # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
+
+    # If you need to make complex sub-parts in the datasets with configurable options
+    # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
+    # BUILDER_CONFIG_CLASS = MyBuilderConfig
+
+    # You will be able to load one or the other configurations in the following list with
+    # data = datasets.load_dataset('my_dataset', 'first_domain')
+    # data = datasets.load_dataset('my_dataset', 'second_domain')
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="all", version=VERSION,
+                               description="Includes all tweets"),
+        datasets.BuilderConfig(name="indic", version=VERSION,
+                               description="Only the Indic languages, plus `undefined'"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "all"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
     def _info(self):
-        # This is an example of a dataset with multiple configurations.
-        # If you don't want/need to define several sub-sets in your dataset,
-        # just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
-
-        # If you need to make complex sub-parts in the datasets with configurable options
-        # You can create your own builder configuration class to store attribute, inheriting from datasets.BuilderConfig
-        # BUILDER_CONFIG_CLASS = MyBuilderConfig
-
-        # You will be able to load one or the other configurations in the following list with
-        # data = datasets.load_dataset('my_dataset', 'first_domain')
-        # data = datasets.load_dataset('my_dataset', 'second_domain')
-        BUILDER_CONFIGS = [
-            datasets.BuilderConfig(name="all", version=VERSION,
-                                   description="Includes all tweets"),
-            datasets.BuilderConfig(name="indic", version=VERSION,
-                                   description="Only the Indic languages, plus `undefined'"),
-        ]
-
-        DEFAULT_CONFIG_NAME = "all"  # It's not mandatory to have a default configuration. Just use one if it make sense.
 
         return datasets.DatasetInfo(
             # This is the description that will appear on the datasets page.