class_docstr: The e-SNLI dataset [#]_ contains pairs of sentences 
  each accompanied by human-rationale annotations 
  as to which words are in each pairs are most
  important for matching.
  
  The sentence pairs are from the Stanford Natural
  Language Inference dataset with labels that indicate
  if the sentence pair is a logical entailment,
  contradiction or neutral.
  
  References:
      .. [#] `Camburu, Oana-Maria, Tim Rocktäschel, Thomas Lukasiewicz, and Phil Blunsom, 
        “E-SNLI: Natural Language Inference with Natural Language Explanations.”,
        2018
        <https://arxiv.org/abs/1812.01193>`_
docstr: Return an e-SNLI example.
  
  The example_id indexes the "docs.jsonl" file of the downloaded dataset.
  
  Args:
      example_id (str): the example index.
  
  Returns:
      e-SNLI example in dictionary form.
docstr_tok: ["Return","an","e-SNLI","example",".","The","example_id","indexes","the","``","docs.jsonl","''","file","of","the","downloaded","dataset",".","Args",":","example_id","(","str",")",":","the","example","index",".","Returns",":","e-SNLI","example","in","dictionary","form","."]
code: def get_example(self, example_id: str) -> Dict:
      """
      Return an e-SNLI example.
  
      The example_id indexes the "docs.jsonl" file of the downloaded dataset.
  
      Args:
          example_id (str): the example index.
  
      Returns:
          e-SNLI example in dictionary form.
      """
      return _example(
          os.path.join(self._dirpath, "docs.jsonl"),
          example_id,
      )
  
imports: import os
  from functools import lru_cache
  from typing import Dict
label_desc: Use image node_id 2 for calling the eSNLIDataset obj's underlying member method code with example usage: obj.get_example(example_id) and returns: _example