class_docstr: Loads the NQ Sample data for testing purposes.
class_docstr_tok: ["Loads","the","NQ","Sample","data","for","testing","purposes","."]
code: def get_fold_chunks(self, opt) -> List[int]:
      return list(range(1))
  
imports: import copy
  import os
  import json
  import jsonlines
  from typing import List, Optional, Tuple
  from parlai.core.teachers import ChunkTeacher, DialogTeacher
  from .build import build, DATASET_NAME_LOCAL, build_sample
  from .build_open import build
  from .utils.text_utils import simplify_nq_example
  from parlai.core.opt import Opt
  from parlai.core.message import Message
  from parlai.core.metrics import ExactMatchMetric, normalize_answer, AverageMetric
  from parlai.core.params import ParlaiParser
  from parlai.utils.data import DatatypeHelper
  from parlai.utils.io import PathManager
  import parlai.utils.logging
label_desc: Use image node_id 3 for calling the NaturalQuestionsSampleTeacher obj's underlying member method code with example usage: obj.get_fold_chunks(opt) and returns: list