code: def load_from_file(path, fmt=None, is_training=True):
      """
      load data from file
      """
      if fmt is None:
          fmt = "squad"
      assert fmt in [
          "squad",
          "csv",
      ], "input format must be squad or csv"
      qp_pairs = []
      if fmt == "squad":
          with open(path) as data_file:
              data = json.load(data_file)["data"]
              for doc in data:
                  for paragraph in doc["paragraphs"]:
                      passage = paragraph["context"]
                      for qa_pair in paragraph["qas"]:
                          question = qa_pair["question"]
                          qa_id = qa_pair["id"]
                          if not is_training:
                              qp_pairs.append(
                                  {
                                      "passage": passage,
                                      "question": question,
                                      "id": qa_id,
                                  }
                              )
                          else:
                              for answer in qa_pair["answers"]:
                                  answer_begin = int(
                                      answer["answer_start"]
                                  )
                                  answer_end = answer_begin + len(
                                      answer["text"]
                                  )
                                  qp_pairs.append(
                                      {
                                          "passage": passage,
                                          "question": question,
                                          "id": qa_id,
                                          "answer_begin": answer_begin,
                                          "answer_end": answer_end,
                                      }
                                  )
      else:
          with open(path, newline="") as csvfile:
              reader = csv.reader(csvfile, delimiter="\t")
              line_num = 0
              for row in reader:
                  qp_pairs.append(
                      {
                          "passage": row[1],
                          "question": row[0],
                          "id": line_num,
                      }
                  )
                  line_num += 1
      return qp_pairs
  
file_path: nni/examples/trials/ga_squad/data.py
imports: import csv
  import json
  from random import shuffle
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: load_from_file(path, fmt, is_training) and returns: qp_pairs