code: def prepare_pothole(output_dir):
      print("Preparing Pothole dataset...")
      # urls = ["https://www.kaggle.com/datasets/andrewmvd/pothole-detection/download?datasetVersionNumber=1"]
      urls = [
          "https://automl-mm-bench.s3.amazonaws.com/object_detection/dataset/pothole.zip"
      ]
      prepare_dataset(
          output_dir=output_dir,
          new_folder_name=None,
          urls=urls,
          fnames=[],
      )
  
file_path: autogluon/multimodal/src/autogluon/multimodal/cli/prepare_detection_dataset.py
imports: import argparse
  import os
  import shutil
  import requests
label_desc: Use image node_id 13 for calling a global function with example usage: prepare_pothole(output_dir) without return types