Update difraud.py

difraud.py

@@ -3,6 +3,7 @@ import json
 import os
 import sys
 import datasets
+from datasets.tasks import TextClassification
 
 
 # TODO: Add BibTeX citation
@@ -73,17 +74,18 @@ class DIFrauD(datasets.GeneratorBasedBuilder):
     DEFAULT_CONFIG_NAME = "phishing"
 
     def _info(self):
-        # This method specifies the datasets.DatasetInfo object which contains informations and typings for the dataset
-        features = self.config
-            )
+            
         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=features,  # Here we define them above because they are different between the two configurations
+            features=self.config.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"),
+            # specify standard binary classification task for datasets to setup easier
+            task_templates=[TextClassification(text_column="text", label_column="label")],
             # Homepage of the dataset for documentation
             homepage=_HOMEPAGE,
             # License for the dataset if available
@@ -140,6 +142,6 @@ class DIFrauD(datasets.GeneratorBasedBuilder):
                 data = json.loads(row)
                 yield key, {
                     "text": data["text"],
-                    "label": "" if split == "test" else data["label"],
+                    "label": int(data["label"]),
                 }