Create my_text_to_text_dataset.py

my_text_to_text_dataset.py

@@ -0,0 +1,26 @@
+# my_text_to_text_dataset.py
+
+from datasets import Dataset
+from text_generation import YourTextGenerationModel
+
+def generate_text_to_text_data():
+    # Your data generation logic here
+    prompts = ["Tell a story about", "Describe a scene with", "Explain the concept of"]
+
+    your_model = YourTextGenerationModel()
+    generated_texts = [your_model.generate_text(prompt) for prompt in prompts]
+
+    data = {
+        "input_text": prompts,
+        "target_text": generated_texts
+    }
+    return data
+
+def create_text_to_text_huggingface_dataset():
+    data = generate_text_to_text_data()
+    dataset = Dataset.from_dict(data)
+    return dataset
+
+if __name__ == "__main__":
+    text_to_text_huggingface_dataset = create_text_to_text_huggingface_dataset()
+    text_to_text_huggingface_dataset.save_to_disk("my_text_to_text_dataset")