Update heloc.py

heloc.py

@@ -64,9 +64,7 @@ _BASE_FEATURE_NAMES = [
 DESCRIPTION = "Heloc dataset for trade insolvency risk prediction."
 _HOMEPAGE = "https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9=ca01a"
 _URLS = ("https://community.fico.com/s/explainable-machine-learning-challenge?tabset-158d9=ca01a")
-_CITATION = """
-
-"""
+_CITATION = """"""
 
 # Dataset info
 urls_per_split = {
@@ -115,14 +113,11 @@ class Heloc(datasets.GeneratorBasedBuilder):
     DEFAULT_CONFIG = "risk"
     BUILDER_CONFIGS = [
         HelocConfig(name="risk",
-                     description="Binary classification of trade risk."),
+                     description="Binary classification of trade risk.")
     ]
 
 
     def _info(self):
-        if self.config.name not in features_per_config:
-            raise ValueError(f"Unknown configuration: {self.config.name}")
-        
         info = datasets.DatasetInfo(description=DESCRIPTION, citation=_CITATION, homepage=_HOMEPAGE,
                                     features=features_per_config[self.config.name])
 
@@ -136,18 +131,15 @@ class Heloc(datasets.GeneratorBasedBuilder):
         ]
     
     def _generate_examples(self, filepath: str):
-        if self.config.name == "risk":
-            data = pandas.read_csv(filepath)
-            data.columns = _BASE_FEATURE_NAMES
-            data = self.preprocess(data, config=self.config.name)
-
-            for row_id, row in data.iterrows():
-                data_row = dict(row)
+        data = pandas.read_csv(filepath)
+        data.columns = _BASE_FEATURE_NAMES
+        data = self.preprocess(data, config=self.config.name)
 
-                yield row_id, data_row
-        else:
-            raise ValueError(f"Unknown config: {self.config.name}")
+        for row_id, row in data.iterrows():
+            data_row = dict(row)
 
+            yield row_id, data_row
+    
     def preprocess(self, data: pandas.DataFrame, config: str = "risk") -> pandas.DataFrame:
         data = data[list(features_types_per_config["risk"].keys())]