Update dga-detector.py

dga-detector.py

@@ -31,7 +31,7 @@ class MyDataset(datasets.GeneratorBasedBuilder):
             for split in ["train", "test", "validation"]
         ]
 
-    def _generate_examples(
+    def _generate_examples_old(
         self,
         filepath: str,
         split: str,
@@ -47,3 +47,39 @@ class MyDataset(datasets.GeneratorBasedBuilder):
                 "domain": row["domain"],
                 "label": row["label"],
             }
+
+    
+    def _generate_examples(
+        self,
+        filepath: str,
+        split: str,
+    ):
+        # Read your CSV dataset
+        dataset = pd.read_csv(filepath)
+
+        # Get the total number of rows
+        total_rows = len(dataset)
+
+        # Define the ratio for train, test, and validation splits
+        train_ratio = 0.7
+        test_ratio = 0.2
+
+        # Calculate the indices for each split
+        train_end = int(train_ratio * total_rows)
+        test_end = train_end + int(test_ratio * total_rows)
+
+        # Filter your dataset based on the 'split' argument
+        if split == "train":
+            dataset = dataset.iloc[:train_end]
+        elif split == "test":
+            dataset = dataset.iloc[train_end:test_end]
+        elif split == "validation":
+            dataset = dataset.iloc[test_end:]
+
+        # Generate examples
+        for index, row in dataset.iterrows():
+            yield index, {
+                "domain": row["domain"],
+                "label": row["label"],
+            }
+