Upload p53.py

p53.py

@@ -70,7 +70,9 @@ class P53(datasets.GeneratorBasedBuilder):
 	
 	def _generate_examples(self, filepath: str):
 		data = pandas.read_csv(filepath, header=None).head(200)
+		print("preprocessing..")
 		data = self.preprocess(data)
+		print("preprocessed!\n\n\n\n")
 
 		for row_id, row in data.iterrows():
 			data_row = dict(row)
@@ -82,7 +84,8 @@ class P53(datasets.GeneratorBasedBuilder):
 			encoding_function = partial(self.encode, feature)
 			data.loc[:, feature] = data[feature].apply(encoding_function)
 		
-		for feature in list(data.colums)[:-1]:
+		for i, feature in enumerate(list(data.colums)[:-1]):
+			print(f"on feature {i}")
 			data[data[feature] == "?", feature] = data[feature].mean()
 				
 		return data[list(features_types_per_config[self.config.name].keys())]