Upload 2 files

onehr.data

@@ -1,3 +1,4 @@
+Date,WSR0,WSR1,WSR2,WSR3,WSR4,WSR5,WSR6,WSR7,WSR8,WSR9,WSR10,WSR11,WSR12,WSR13,WSR14,WSR15,WSR16,WSR17,WSR18,WSR19,WSR20,WSR21,WSR22,WSR23,WSR_PK,WSR_AV,T0,T1,T2,T3,T4,T5,T6,T7,T8,T9,T10,T11,T12,T13,T14,T15,T16,T17,T18,T19,T20,T21,T22,T23,T_PK,T_AV,T85,RH85,U85,V85,HT85,T70,RH70,U70,V70,HT70,T50,RH50,U50,V50,HT50,KI,TT,SLP,SLP_,Precp,Class
 1/1/1998,0.8,1.8,2.4,2.1,2,2.1,1.5,1.7,1.9,2.3,3.7,5.5,5.1,5.4,5.4,4.7,4.3,3.5,3.5,2.9,3.2,3.2,2.8,2.6,5.5,3.1,5.2,6.1,6.1,6.1,6.1,5.6,5.2,5.4,7.2,10.6,14.5,17.2,18.3,18.9,19.1,18.9,18.3,17.3,16.8,16.1,15.4,14.9,14.8,15,19.1,12.5,6.7,0.11,3.83,0.14,1612,-2.3,0.3,7.18,0.12,3178.5,-15.5,0.15,10.67,-1.56,5795,-12.1,17.9,10330,-55,0,0.
 1/2/1998,2.8,3.2,3.3,2.7,3.3,3.2,2.9,2.8,3.1,3.4,4.2,4.5,4.5,4.3,5.5,5.1,3.8,3,2.6,3,2.2,2.3,2.5,2.8,5.5,3.4,15.1,15.3,15.6,15.6,15.9,16.2,16.2,16.2,16.6,17.8,19.4,20.6,21.2,21.8,22.4,22.1,20.8,19.1,18.1,17.2,16.5,16.1,16,16.2,22.4,17.8,9,0.25,-0.41,9.53,1594.5,-2.2,0.96,8.24,7.3,3172,-14.5,0.48,8.39,3.84,5805,14.05,29,10275,-55,0,0.
 1/3/1998,2.9,2.8,2.6,2.1,2.2,2.5,2.5,2.7,2.2,2.5,3.1,4,4.4,4.6,5.6,5.4,5.2,4.4,3.5,2.7,2.9,3.9,4.1,4.6,5.6,3.5,16.6,16.7,16.7,16.8,16.8,16.8,16.9,16.9,17.1,17.6,19.1,21.3,21.8,22,22.1,22.2,21.3,19.8,18.6,18,18,18.2,18.3,18.4,22.2,18.7,9,0.56,0.89,10.17,1568.5,0.9,0.54,3.8,4.42,3160,-15.9,0.6,6.94,9.8,5790,17.9,41.3,10235,-40,0,0.

ozone.py

@@ -289,9 +289,9 @@ class Ozone(datasets.GeneratorBasedBuilder):
         ]
     
     def _generate_examples(self, filepath: str):
-        data = pandas.read_csv(filepath, header=None)
-        data.columns = _BASE_FEATURE_NAMES
+        data = pandas.read_csv(filepath)
         data.drop("Date", axis="columns", inplace=True)
+        data.loc[:, "Class"] = data.Class.astype(int)
 
         for row_id, row in data.iterrows():
             data_row = dict(row)