Update difraud.py

difraud.py

@@ -36,7 +36,7 @@ _LICENSE = """
 
 class DIFrauD(datasets.GeneratorBasedBuilder):
     """Domain Independent Fraud Detection benchmarks -- a Large multi-domain english corpus of truthful and deceptive texts"""
-    
+
     BUILDER_CONFIGS = [
         datasets.BuilderConfig(name="fake_news", description="Fake News domain"),
         datasets.BuilderConfig(name="job_scams", description="Online Job Scams"),
@@ -51,13 +51,18 @@ class DIFrauD(datasets.GeneratorBasedBuilder):
     DEFAULT_CONFIG_NAME = "phishing"
 
     def _info(self):
-            
+        self.features = datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                    "label": datasets.ClassLabel(num_classes=2, names=['non-deceptive', 'deceptive']),
+                }
+        )
         return datasets.DatasetInfo(
             config_name=self.config.name,
             # This is the description that will appear on the datasets page.
             description=_DESCRIPTION,
             # This defines the different columns of the dataset and their types
-            features=self.config.features,  # Here we define them above because they are different between the two configurations
+            features=self.features,  # Here we define them above because they are different between the two configurations
             # If there's a common (input, target) tuple from the features, uncomment supervised_keys line below and
             # specify them. They'll be used if as_supervised=True in builder.as_dataset.
             supervised_keys=("text", "label"),