code: def enumerate_dataset(start=0):
      """A transformation that enumerates the elements of a dataset.
  
      It is similar to python's `enumerate`.
      For example:
  
      ```python
      # NOTE: The following examples use `{ ... }` to represent the
      # contents of a dataset.
      a = { 1, 2, 3 }
      b = { (7, 8), (9, 10) }
  
      # The nested structure of the `datasets` argument determines the
      # structure of elements in the resulting dataset.
      a.apply(tf.data.experimental.enumerate_dataset(start=5))
      => { (5, 1), (6, 2), (7, 3) }
      b.apply(tf.data.experimental.enumerate_dataset())
      => { (0, (7, 8)), (1, (9, 10)) }
      ```
  
      Args:
        start: A `tf.int64` scalar `tf.Tensor`, representing the start value for
          enumeration.
  
      Returns:
        A `Dataset` transformation function, which can be passed to
        `tf.data.Dataset.apply`.
      """
  
      def _apply_fn(dataset):
          return dataset.enumerate(start)
  
      return _apply_fn
  
label_desc: Use image node_id 1 for calling a global function with example usage: enumerate_dataset(start) and returns: _apply_fn, dataset