code: def read_examples(self, path, set_type):
      input_data = read_json(path, encoding="utf-8")["data"]
  
      is_training = set_type == PHASE.TRAIN
      examples = []
      data = take_one(input_data)
      for paragraph in maybe_tqdm(data["paragraphs"]):
          for qa in paragraph["qas"]:
              qas_id = qa["id"]
              # Because answers can also come from questions, we're going to abuse notation
              #   slightly and put the entire background+situation+question into the "context"
              #   and leave nothing for the "question"
              question_text = " "
              if self.include_background:
                  context_segments = [
                      paragraph["background"],
                      paragraph["situation"],
                      qa["question"],
                  ]
              else:
                  context_segments = [
                      paragraph["situation"],
                      qa["question"],
                  ]
              full_context = " ".join(
                  segment.strip() for segment in context_segments
              )
  
              if is_training:
                  answer = qa["answers"][0]
                  start_position_character = full_context.find(
                      answer["text"]
                  )
                  answer_text = answer["text"]
                  answers = []
              else:
                  start_position_character = None
                  answer_text = None
                  answers = [
                      {
                          "text": answer["text"],
                          "answer_start": full_context.find(
                              answer["text"]
                          ),
                      }
                      for answer in qa["answers"]
                  ]
  
              example = Example(
                  qas_id=qas_id,
                  question_text=question_text,
                  context_text=full_context,
                  answer_text=answer_text,
                  start_position_character=start_position_character,
                  title="",
                  is_impossible=False,
                  answers=answers,
                  background_text=paragraph["background"],
                  situation_text=paragraph["situation"],
              )
              examples.append(example)
      return examples
  
imports: import logging
  import numpy
  from dataclasses import dataclass
  from typing import Optional
  from jiant.shared.constants import PHASE
  from jiant.tasks.lib.templates.squad_style import core
  from jiant.utils.python.io import read_json
  from jiant.utils.display import maybe_tqdm
  from jiant.utils.python.datastructures import take_one
label_desc: Use image node_id 5 for calling the RopesTask obj's underlying member method code with example usage: obj.read_examples(path, set_type) and returns: examples