class_docstr: SQUAD: The Stanford Question Answering Dataset.
class_docstr_tok: ["SQUAD",":","The","Stanford","Question","Answering","Dataset","."]
code: def _info(self):
      if self.builder_config.name == "v1.1":
          features_dict = qa_utils.squadlike_features()
      elif self.builder_config.name == "v2.0":
          features_dict = _v2_features()
      else:
          raise AssertionError(
              "Dataset version should be either 1.1 or 2.0"
          )
  
      return self.dataset_info_from_configs(
          features=features_dict,
          # No default supervised_keys (as we have to pass both question
          # and context as input).
          supervised_keys=None,
          homepage=_HOMEPAGE_URL,
      )
  
file_path: datasets/tensorflow_datasets/datasets/squad/squad_dataset_builder.py
imports: from __future__ import annotations
  import json
  import os
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
  from tensorflow_datasets.question_answering import qa_utils
label_desc: Use image node_id 1 for calling the Builder obj's underlying member method code with example usage: obj._info() and returns: self