Upload monks.py

monks.py

@@ -10,6 +10,7 @@ import pandas
 
 VERSION = datasets.Version("1.0.0")
 _ORIGINAL_FEATURE_NAMES = [
+    "empty",
     "is_monk",
     "head_shape",
     "body_shape",
@@ -165,11 +166,12 @@ class Monk(datasets.GeneratorBasedBuilder):
 
     def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
         print(data.head())
-        data.columns = ["empty"] + _BASE_FEATURE_NAMES
+        data.columns = _ORIGINAL_FEATURE_NAMES
         data.drop("ID", axis="columns", inplace=True)
         data.drop("empty", axis="columns", inplace=True)
         data.loc[:, "has_tie"] = data.has_tie.apply(bool)
         data.loc[:, "is_smiling"] = data.is_smiling.apply(bool)
+        data.columns = _BASE_FEATURE_NAMES
 
         for feature in _ENCODING_DICS:
             encoding_function = partial(self.encode, feature)