text: def section1():
      """
      Since a recipe is linked with an ontology, it allows for making changes with labels and attributes. When the recipe is set as the default one for a dataset, the same applies for the dataset entity - it can be used for making changes with the labels and attributes which are ultimately linked to it through the recipe and its ontology.
      ## Working With Recipes
  
      """
  
  
  def section2():
      """
      ## Cloning Recipes
      When you want to create a new recipe that’s only slightly different from an existing recipe, it can be easier to start by cloning the original recipe and then making changes on its clone.
      shallow: If True, link to existing ontology,
                    If false clone all ontologies that are links to the recipe as well.
  
  
      """
  
  
  def section3():
      """
      ## View Dataset Labels
  
      """
  
  
  def section4():
      """
      ## Add Labels by Dataset
      Working with dataset labels can be done one-by-one or as a list.
      The Dataset entity documentation details all label options - read <a href="https://console.dataloop.ai/sdk-docs/dtlpy.entities.html#dtlpy.entities.dataset.Dataset.add_label" target="_blank">here</a>.
  
      """
  
  
  def section5():
      """
      ## Add Labels Using Label Object
  
      """
  
  
  def section6():
      """
      ## Add a Label and Sub-Labels
  
      """
  
  
  def section7():
      """
      ## Add Hierarchy Labels with Nested
      Different options for hierarchy label creation.
  
      """
  
  
  def section8():
      """
      ## Delete Labels by Dataset
      """
  
  
  def section9():
      """
      ## Update Label Features
  
      """
  