Update ultimate_arabic_news.py

ultimate_arabic_news.py

@@ -24,28 +24,28 @@ class UAN_Config(datasets.BuilderConfig):
         
             
 class Ultimate_Arabic_News(datasets.GeneratorBasedBuilder):
-        VERSION = datasets.Version("1.1.0")
-        BUILDER_CONFIGS = [
-        UAN_Config(
-            name="UltimateArabic",
-            description=textwrap.dedent(
-                """\
-          UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words, 
-          numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural 
-          language processing tasks such as text classification."""
-            ),
+    VERSION = datasets.Version("1.1.0")
+    BUILDER_CONFIGS = [
+    UAN_Config(
+        name="UltimateArabic",
+        description=textwrap.dedent(
+            """\
+      UltimateArabic: A file containing more than 193,000 original Arabic news texts, without pre-processing. The texts contain words, 
+      numbers, and symbols that can be removed using pre-processing to increase accuracy when using the dataset in various Arabic natural 
+      language processing tasks such as text classification."""
         ),
-        UAN_Config(
-            name="UltimateArabicPrePros",
-            description=textwrap.dedent(
-                """UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where 
-                the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been 
-                removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text 
-                classification.
-          """
-            ),
+    ),
+    UAN_Config(
+        name="UltimateArabicPrePros",
+        description=textwrap.dedent(
+            """UltimateArabicPrePros: It is a file that contains the data mentioned in the first file, but after pre-processing, where 
+            the number of data became about 188,000 text documents, where stop words, non-Arabic words, symbols and numbers have been 
+            removed so that this file is ready for use directly in the various Arabic natural language processing tasks. Like text 
+            classification.
+      """
         ),
-    ]
+    ),
+]
 
     def _info(self):
         # TODO(tydiqa): Specifies the datasets.DatasetInfo object