code: def squadlike_features():
      return tfds.features.FeaturesDict(
          {
              "id": np.str_,
              "title": tfds.features.Text(),
              "context": tfds.features.Text(),
              "question": tfds.features.Text(),
              "answers": tfds.features.Sequence(
                  {
                      "text": tfds.features.Text(),
                      "answer_start": np.int32,
                  }
              ),
          }
      )
  
file_path: datasets/tensorflow_datasets/question_answering/qa_utils.py
imports: from __future__ import annotations
  import json
  from absl import logging
  from etils import epath
  import numpy
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: squadlike_features() and returns: tfds