Update difraud.py

difraud.py

@@ -34,38 +34,17 @@ _LICENSE = """
     IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
     """
 
-class DIFrauDConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        """
-        Args:
-        features: `list[string]`, list of the features that will appear in the
-            feature dict. Should not include "label".
-        data_url: `string`, url to download the zip file from.
-        citation: `string`, citation for the data set.
-        url: `string`, url for information about the data set.
-        **kwargs: keyword arguments forwarded to super.
-        """
-        
-        super(datasets.BuilderConfig, self).__init__(**kwargs)
-        self.name = name
-        self.features = datasets.Features(
-                {
-                    "text": datasets.Value("string"),
-                    "label": datasets.ClassLabel(num_classes=2, names=['non-deceptive', 'deceptive']),
-                }
-        )
-    
 class DIFrauD(datasets.GeneratorBasedBuilder):
     """Domain Independent Fraud Detection benchmarks -- a Large multi-domain english corpus of truthful and deceptive texts"""
     
     BUILDER_CONFIGS = [
-        DIFrauDConfig(name="fake_news", description="Fake News domain"),
-        DIFrauDConfig(name="job_scams", description="Online Job Scams"),
-        DIFrauDConfig(name="phishing", description="Email phishing attacks"),
-        DIFrauDConfig(name="political_statements", description="Statements by various politicians"),
-        DIFrauDConfig(name="product_reviews", description="Amazon product reviews"),
-        DIFrauDConfig(name="sms", description="SMS spam and phishing attacks"),
-        DIFrauDConfig(name="twitter_rumours", 
+        datasets.BuilderConfig(name="fake_news", description="Fake News domain"),
+        datasets.BuilderConfig(name="job_scams", description="Online Job Scams"),
+        datasets.BuilderConfig(name="phishing", description="Email phishing attacks"),
+        datasets.BuilderConfig(name="political_statements", description="Statements by various politicians"),
+        datasets.BuilderConfig(name="product_reviews", description="Amazon product reviews"),
+        datasets.BuilderConfig(name="sms", description="SMS spam and phishing attacks"),
+        datasets.BuilderConfig(name="twitter_rumours", 
                                description="Collection of rumours from twitter spanning several years and topics"),
     ]