Create gg.py

gg.py

@@ -0,0 +1,37 @@
+import datasets
+
+text_file = 'dateee.txt'
+
+class DailyDialog(datasets.GeneratorBasedBuilder):
+    """DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset"""
+
+    VERSION = datasets.Version("1.0.0")
+
+    __EOU__ = "__eou__"
+
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager):
+        # You should implement the logic here to split the text_file into TRAIN, VALIDATION, and TEST
+        # Example logic is provided below
+        with open(text_file, 'r', encoding='utf-8') as f:
+            lines = f.readlines()
+
+        train_size = int(0.8 * len(lines))
+        val_size = int(0.1 * len(lines))
+        test_size = len(lines) - train_size - val_size
+
+        train_data = lines[:train_size]
+        val_data = lines[train_size:train_size + val_size]
+        test_data = lines[train_size + val_size:]
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data": train_data}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"data": val_data}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"data": test_data}),
+        ]
+
+    def _generate_examples(self, data):
+        for idx, line in enumerate(data):
+            yield idx, {
+                "dialog": line.strip().split(self.__EOU__)[:-1]
+            }