Upload student_performance.py

student_performance.py

@@ -148,13 +148,13 @@ class StudentPerformance(datasets.GeneratorBasedBuilder):
             data.loc[:, feature] = data[feature].apply(encoding_function)
         
         if config == "math":
-            data = data.rename(columns={"math_score", "has_passed_math_exam"})
+            data = data.rename(columns={"math_score": "has_passed_math_exam"})
             return data[list(features_types_per_config["math"].keys())]
         elif config == "reading":
-            data = data.rename(columns={"reading_score", "has_passed_reading_exam"})
+            data = data.rename(columns={"reading_score": "has_passed_reading_exam"})
             return data[list(features_types_per_config["reading"].keys())]
         elif config == "writing":
-            data = data.rename(columns={"writing_score", "has_passed_writing_exam"})
+            data = data.rename(columns={"writing_score": "has_passed_writing_exam"})
             return data[list(features_types_per_config["writing"].keys())]
         else:
             raise ValueError(f"Unknown config: {config}")