message: Define dataset elements and components in dataset overviews
diff: @@ -108,6 +108,25 @@ class DatasetV2(tracking_base.Trackable, composite_tensor.CompositeTensor):
  A `Dataset` can be used to represent an input pipeline as a
  collection of elements and a "logical plan" of transformations that act on
  those elements.
  +
  + A dataset contains elements that each have the same (nested) structure and the
  + individual components of the structure can be of any type representable by
  + `tf.TypeSpec`, including `tf.Tensor`, `tf.data.Dataset`, `tf.SparseTensor`,
  + `tf.RaggedTensor`, or `tf.TensorArray`.
  +
  + Example elements:
  + ```python
  + # Integer element
  + a = 1
  + # Float element
  + b = 2.0
  + # Tuple element with 2 components
  + c = (1, 2)
  + # Dict element with 3 components
  + d = {"a": (2, 2), "b": 3}
  + # Element containing a dataset
  + e = tf.data.Dataset.from_element(10)
  + ```
  """
  def __init__(self, variant_tensor):
  