Upload dga-detector.py

dga-detector.py

@@ -0,0 +1,49 @@
+from datasets import GeneratorBasedBuilder, DownloadConfig, SplitGenerator, SplitInfo, DatasetInfo
+import pandas as pd
+import os
+
+
+class MyDataset(GeneratorBasedBuilder):
+    def _info(self):
+
+        return datasets.DatasetInfo(
+            description="DESCRIPTION",
+            features=datasets.Features(
+                {"domain": datasets.Value("string"), "label": datasets.Value("string")}
+            ),
+            supervised_keys=("domain", "label"),
+            homepage="_HOMEPAGE",
+        )
+
+
+    def _split_generators(self, dl_manager: DownloadConfig):
+        # Load your local dataset file
+        csv_path = "/mnt/git-repos/deepDGAgen/rawdata/argencon.csv.gz"
+
+        return [
+            SplitGenerator(
+                name=split,
+                gen_kwargs={
+                    "filepath": csv_path,
+                    "split": split,
+                },
+            )
+            for split in ["train", "test", "validation"]
+        ]
+
+    def _generate_examples(
+        self,
+        filepath: str,
+        split: str,
+    ):
+        # Read your CSV dataset
+        dataset = pd.read_csv(filepath)
+
+        # You can filter or split your dataset based on the 'split' argument if necessary
+
+        # Generate examples
+        for index, row in dataset.iterrows():
+            yield index, {
+                "domain": row["domain"],
+                "label": row["label"],
+            }