Update depression_reddit_cleaned.py

depression_reddit_cleaned.py

@@ -30,25 +30,21 @@ task that requires labeled data pertaining to depression from Reddit.
 
 
 class DepressionRedditCleaned(datasets.GeneratorBasedBuilder):
-    """
-    ~7000 Cleaned Reddit Labelled Dataset on Depression
-    The raw data is collected through web-scrapping Subreddits and is cleaned using multiple NLP techniques.
-    The data is only in English. It mainly targets mental health classification.
-    """
-
-    VERSION = datasets.Version("1.1.0")
-    
-    def _info(self):
-        features = datasets.Features(
-            {
-                "clean_text": datasets.Value("string"),
-                "is_depression": datasets.Value("int64"),
-                "label": datasets.features.ClassLabel(
-                    names=["not_depression", "depression"]
-                )
-            }
-        )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features
-        )
+	"""
+	~7000 Cleaned Reddit Labelled Dataset on Depression
+	The raw data is collected through web-scrapping Subreddits and is cleaned using multiple NLP techniques.
+	The data is only in English. It mainly targets mental health classification.
+	"""
+
+	VERSION = datasets.Version("1.1.0")
+	
+	def _info(self):
+		return datasets.DatasetInfo(
+			description=_DESCRIPTION,
+			features=datasets.Features(
+				{
+					"clean_text": datasets.Value("string"),
+					"is_depression": datasets.Value("int64"),
+					"label": datasets.features.ClassLabel(names=["not_depression", "depression"])
+				}
+		)