code: def _v2_features():
      return tfds.features.FeaturesDict(
          {
              "id": np.str_,
              "title": tfds.features.Text(),
              "context": tfds.features.Text(),
              "plausible_answers": tfds.features.Sequence(
                  {
                      "text": tfds.features.Text(),
                      "answer_start": np.int32,
                  }
              ),
              "question": tfds.features.Text(),
              "is_impossible": np.bool_,
              "answers": tfds.features.Sequence(
                  {
                      "text": tfds.features.Text(),
                      "answer_start": np.int32,
                  }
              ),
          }
      )
  
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 a global function with example usage: _v2_features() and returns: tfds