class_docstr: Used to create an output widget for showing datasets. Used to render the examples
  box.
  Preprocessing: passes the selected sample either as a {list} of data (if type="value") or as an {int} index (if type="index")
  Postprocessing: expects a {list} of {lists} corresponding to the dataset data.
code: def postprocess(self, samples: list[list]) -> dict:
      return {
          "samples": samples,
          "__type__": "update",
      }
  
file_path: gradio/gradio/components/dataset.py
imports: from __future__ import annotations
  from typing import Any, Literal
  from gradio_client.documentation import document, set_documentation_group
  from gradio import processing_utils
  from gradio.components.base import Component, get_component_instance
  from gradio.events import Events
label_desc: Use image node_id 5 for calling the Dataset obj's underlying member method code with example usage: obj.postprocess(samples) and returns: dict