Upload compas.py

compas.py

@@ -73,17 +73,15 @@ _BASE_FEATURE_NAMES = [
     "decile_score",
     "number_of_juvenile_misdemeanors",
     "number_of_other_juvenile_offenses",
-    "number_of_priors_offenses",
+    "number_of_prior_offenses",
     "days_before_screening_arrest",
     "is_recidivous",
+    # "days_in_jail_before_recidividity",
     "days_of_recidividity_after_arrest",
-    "days_in_jail_before_recidividity",
-    "days_in_custody",
     "is_violent_recidivous",
     "violence_decile_score",
-    "time_in_custody",
-    "priors_count",
-    "two_year_recidivous"
+    "two_year_recidivous",
+    "days_in_custody",
 ]
 DESCRIPTION = "COMPAS dataset for recidivism prediction."
 _HOMEPAGE = "https://github.com/propublica/compas-analysis"
@@ -262,6 +260,8 @@ class Compas(datasets.GeneratorBasedBuilder):
         data.drop("compas_screening_date", axis="columns", inplace=True)
         data.drop("decile_score.1", axis="columns", inplace=True)
         data.drop("priors_count.1", axis="columns", inplace=True)
+        data.drop("c_case_number", axis="columns", inplace=True)
+        data.drop("c_days_from_compas", axis="columns", inplace=True)
 
         # drop nan values
         data = data[~data.days_b_screening_arrest.isna()]