Update student_performance.py

student_performance.py

@@ -59,31 +59,31 @@ features_types_per_config = {
         "encoded_value": datasets.Value("int64")
     },
     "math": {
-        "sex": datasets.Value("int8"),
+        "is_male": datasets.Value("bool"),
         "ethnicity": datasets.Value("string"),
         "parental_level_of_education": datasets.Value("int8"),
-        "has_standard_lunch": datasets.Value("int8"),
-        "has_completed_preparation_test": datasets.Value("int8"),
+        "has_standard_lunch": datasets.Value("bool"),
+        "has_completed_preparation_test": datasets.Value("bool"),
         "reading_score": datasets.Value("int64"),
         "writing_score": datasets.Value("int64"),
         "has_passed_math_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
     },
     "writing": {
-        "sex": datasets.Value("int8"),
+        "is_male": datasets.Value("bool"),
         "ethnicity": datasets.Value("string"),
         "parental_level_of_education": datasets.Value("int8"),
-        "has_standard_lunch": datasets.Value("int8"),
-        "has_completed_preparation_test": datasets.Value("int8"),
+        "has_standard_lunch": datasets.Value("bool"),
+        "has_completed_preparation_test": datasets.Value("bool"),
         "reading_score": datasets.Value("int64"),
         "math_score": datasets.Value("int64"),
         "has_passed_writing_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),
     },
     "reading": {
-        "sex": datasets.Value("int8"),
+        "is_male": datasets.Value("bool"),
         "ethnicity": datasets.Value("string"),
         "parental_level_of_education": datasets.Value("int8"),
-        "has_standard_lunch": datasets.Value("int8"),
-        "has_completed_preparation_test": datasets.Value("int8"),
+        "has_standard_lunch": datasets.Value("bool"),
+        "has_completed_preparation_test": datasets.Value("bool"),
         "writing_score": datasets.Value("int64"),
         "math_score": datasets.Value("int64"),
         "has_passed_reading_exam": datasets.ClassLabel(num_classes=2, names=("no", "yes")),
@@ -148,6 +148,8 @@ class StudentPerformance(datasets.GeneratorBasedBuilder):
         for feature in _ENCODING_DICS:
             encoding_function = partial(self.encode, feature)
             data.loc[:, feature] = data[feature].apply(encoding_function)
+        data = data.rename(columns={"sex": "is_male"})
+        data = data.astype({"is_male": "bool", "has_standard_lunch": "bool", "has_completed_preparation_test": "bool"})
         
         if config == "math":
             data = data.rename(columns={"math_score": "has_passed_math_exam"})