Upload kddcup.py

kddcup.py

@@ -37,6 +37,50 @@ _ENCODING_DICS = {
 										"rootkit."])
 	}
 }
+_BASE_FEATURE_NAMES = [
+	"duration",
+	"protocol_type",
+	"service",
+	"flag",
+	"src_bytes",
+	"dst_bytes",
+	"land",
+	"wrong_fragment",
+	"urgent",
+	"hot",
+	"num_failed_logins",
+	"logged_in",
+	"num_compromised",
+	"root_shell",
+	"su_attempted",
+	"num_root",
+	"num_file_creations",
+	"num_shells",
+	"num_access_files",
+	"num_outbound_cmds",
+	"is_host_login",
+	"is_guest_login",
+	"count",
+	"srv_count",
+	"serror_rate",
+	"srv_serror_rate",
+	"rerror_rate",
+	"srv_rerror_rate",
+	"same_srv_rate",
+	"diff_srv_rate",
+	"srv_diff_host_rate",
+	"dst_host_count",
+	"dst_host_srv_count",
+	"dst_host_same_srv_rate",
+	"dst_host_diff_srv_rate",
+	"dst_host_same_src_port_rate",
+	"dst_host_srv_diff_host_rate",
+	"dst_host_serror_rate",
+	"dst_host_srv_serror_rate",
+	"dst_host_rerror_rate",
+	"dst_host_srv_rerror_rate",
+	"class",
+]
 
 DESCRIPTION = "Kddcup dataset."
 _HOMEPAGE = ""
@@ -130,6 +174,7 @@ class Kddcup(datasets.GeneratorBasedBuilder):
 	
 	def _generate_examples(self, filepath: str):
 		data = pandas.read_csv(filepath, header=None)
+		data.columns = _BASE_FEATURE_NAMES
 		data = self.preprocess(data)
 
 		for row_id, row in data.iterrows():
@@ -138,7 +183,6 @@ class Kddcup(datasets.GeneratorBasedBuilder):
 			yield row_id, data_row
 
 	def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
-		data.columns = [f"feature_{i}" for i in range(5000)] + ["class"]
 		for feature in _ENCODING_DICS:
 			encoding_function = partial(self.encode, feature)
 			data.loc[:, feature] = data[feature].apply(encoding_function)