code: def main():
      manager = StorageManager()
  
      print("STEP1 : Downloading CSV dataset")
      csv_file_path = manager.get_local_copy(
          remote_url="https://allegro-datasets.s3.amazonaws.com/datasets/Iris_Species.csv"
      )
  
      print("STEP2 : Creating a dataset")
      # By default, clearml data uploads to the clearml fileserver. Adding output_uri argument to the create() method
      # allows you to specify custom storage like s3 \ gcs \ azure \ local storage
      simple_dataset = Dataset.create(
          dataset_project="dataset_examples", dataset_name="CSV_Dataset"
      )
  
      print("STEP3 : Adding CSV file to the Dataset")
      simple_dataset.add_files(path=csv_file_path)
  
      print("STEP4 : Upload and finalize")
      simple_dataset.upload()
      simple_dataset.finalize()
  
      print("We are done, have a great day :)")
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types