Update covertype.py

covertype.py

@@ -596,21 +596,19 @@ class Covertype(datasets.GeneratorBasedBuilder):
     def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
         data["cover_type"] = data["cover_type"].apply(lambda x: x - 1)
 
-        if config == "cover_type_0":
+        if config == "covertype_0":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 0 else 0)
-        elif config == "cover_type_1":
+        elif config == "covertype_1":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 1 else 0)
-        elif config == "cover_type_2":
+        elif config == "covertype_2":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 2 else 0)
-        elif config == "cover_type_3":
+        elif config == "covertype_3":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 3 else 0)
-        elif config == "cover_type_4":
+        elif config == "covertype_4":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 4 else 0)
-        elif config == "cover_type_5":
+        elif config == "covertype_5":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 5 else 0)
-        elif config == "cover_type_6":
+        elif config == "covertype_6":
             data["cover_type"] = data["cover_type"].apply(lambda x: 1 if x == 6 else 0)
-
-        print(data["cover_type"])
         
         return data