brucoder/winter-dataset-training

1from datasets import load_dataset2import gradio as gr3 4# Load your dataset5ds = load_dataset("greghavens/fable-5-coding-and-debugging-traces")6 7 8def get_dataset_info():9  split_info = "Loaded split: train\n"10  total_rows = f"Total rows: {len(ds['train'])}\n"11  columns = f"Columns: {', '.join(ds['train'].column_names)}"12  return split_info + total_rows + columns13 14 15demo = gr.Interface(16    fn=get_dataset_info,17    inputs=[],18    outputs="text",19    title="Dataset Inspector",20    description="Inspect fable-5-coding-and-debugging-traces dataset",21)22 23if __name__ == "__main__":24  demo.launch()