Update balance_scale.py

balance_scale.py

@@ -39,7 +39,14 @@ features_types_per_config = {
         "right_weight": datasets.Value("int64"),
         "right_distance": datasets.Value("int64"),
         "balance": datasets.ClassLabel(num_classes=3, names=("tips_left", "balanced", "tips_right"))
-    }
+    },
+    "is_balanced": {
+        "left_weight": datasets.Value("int64"),
+        "left_distance": datasets.Value("int64"),
+        "right_weight": datasets.Value("int64"),
+        "right_distance": datasets.Value("int64"),
+        "is_balanced": datasets.ClassLabel(num_classes=2, names=("no", "yes"))
+    },
 }
 features_per_config = {k: datasets.Features(features_types_per_config[k]) for k in features_types_per_config}
 
@@ -54,8 +61,8 @@ class Balance_Scale(datasets.GeneratorBasedBuilder):
     # dataset versions
     DEFAULT_CONFIG = "balance"
     BUILDER_CONFIGS = [
-        Balance_ScaleConfig(name="balance",
-                    description="Multiclass classification of the scale balance."),
+        Balance_ScaleConfig(name="balance", description="Multiclass classification of the scale balance."),
+        Balance_ScaleConfig(name="is_balanced", description="Binary classification of the scale balance."),
     ]
 
 
@@ -75,8 +82,12 @@ class Balance_Scale(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath: str):
         data = pandas.read_csv(filepath, header=None)
         data.columns = _BASE_FEATURE_NAMES
+        
         data = data[["left_weight", "left_distance", "right_weight", "right_distance", "balance"]]
-        data.loc[:, "balance"] = data.balance.apply(lambda x: 0 if x == "L" else 1 if x == "B" else 2)
+        data["balance"] = data.balance.apply(lambda x: 0 if x == "L" else 1 if x == "B" else 2)
+        if self.config.name == "is_balanced":
+            data["balance"] = data.balance.apply(lambda x: 1 if x == 1 else 0)
+            data = data.rename(columns={"balance": "is_balanced"})
 
         for row_id, row in data.iterrows():
             data_row = dict(row)