Upload compas.py

compas.py

@@ -116,7 +116,7 @@ features_types_per_config = {
     "two-years-recidividity": {
         "sex": datasets.Value("int64"),
         "age": datasets.Value("int64"),
-        "race": datasets.Value("int64"),
+        "race": datasets.Value("string"),
         "number_of_juvenile_fellonies": datasets.Value("int64"),
         "decile_score": datasets.Value("int64"),
         "number_of_juvenile_misdemeanors": datasets.Value("int64"),
@@ -149,7 +149,7 @@ features_types_per_config = {
     "priors-prediction": {
         "sex": datasets.Value("int64"),
         "age": datasets.Value("int64"),
-        "race": datasets.Value("int64"),
+        "race": datasets.Value("string"),
         "number_of_juvenile_fellonies": datasets.Value("int64"),
         "decile_score": datasets.Value("int64"),
         "number_of_juvenile_misdemeanors": datasets.Value("int64"),
@@ -248,6 +248,7 @@ class Compas(datasets.GeneratorBasedBuilder):
         else:
             data = pandas.read_csv(filepath)
             data = self.preprocess(data, config=self.config.name)
+        
         for row_id, row in data.iterrows():
             data_row = dict(row)