Upload student_performance.py

student_performance.py

@@ -21,7 +21,7 @@ _BASE_FEATURE_NAMES = [
 ]
 
 _ENCODING_DICS = {
-    "gender": {
+    "sex": {
         "female": 0,
         "male": 1  
     },
@@ -142,15 +142,10 @@ class StudentPerformance(datasets.GeneratorBasedBuilder):
         if config == "encoding":
             return self.encoding_dics()
 
-        data.columns = [c.replace("\"", "") for c in data.columns]
-
-        data.loc[:, "race/ethnicity"] = data["race/ethnicity"].apply(lambda x: x.replace("group ", ""))
-        
+        data.columns = _BASE_FEATURE_NAMES
         for feature in _ENCODING_DICS:
             encoding_function = partial(self.encode, feature)
             data.loc[:, feature] = data[feature].apply(encoding_function)
-         
-        data.columns = _BASE_FEATURE_NAMES
         
         if config == "math":
             data = data.rename(colums={"math_score", "has_passed_math_exam"})