Upload student_performance.py

student_performance.py

@@ -149,12 +149,18 @@ class StudentPerformance(datasets.GeneratorBasedBuilder):
         
         if config == "math":
             data = data.rename(columns={"math_score": "has_passed_math_exam"})
+            data.loc[:, "has_passed_math_exam"] = data.has_passed_math_exam.apply(lambda x: int(x > 60))
+
             return data[list(features_types_per_config["math"].keys())]
         elif config == "reading":
             data = data.rename(columns={"reading_score": "has_passed_reading_exam"})
+            data.loc[:, "has_passed_reading_exam"] = data.has_passed_reading_exam.apply(lambda x: int(x > 60))
+
             return data[list(features_types_per_config["reading"].keys())]
         elif config == "writing":
             data = data.rename(columns={"writing_score": "has_passed_writing_exam"})
+            data.loc[:, "has_passed_writing_exam"] = data.has_passed_writing_exam.apply(lambda x: int(x > 60))
+
             return data[list(features_types_per_config["writing"].keys())]
         else:
             raise ValueError(f"Unknown config: {config}")