code: def load_data(url, filepath, stage="train"):
      """
      Load QuoraQP data.
  
      :param path: `None` for download from quora, specific path for
          downloaded data.
      :param stage: One of `train`, `dev`, and `test`.
      :param task: Could be one of `ranking`, `classification` or a
          :class:`matchzoo.engine.BaseTask` instance.
      :param return_classes: Whether return classes for classification task.
      :return: A DataPack if `ranking`, a tuple of (DataPack, classes) if
          `classification`.
      """
  
      data_root = _download_data(url, filepath)
      file_path = data_root.joinpath("{}.tsv".format(stage))
  
file_path: delta/egs/quora_qp/match/v1/local/load_data.py
imports: import typing
  from pathlib import Path
  import keras
  import pandas
  import csv
  import sys
  from absl import logging
label_desc: Use image node_id 1 for calling a global function with example usage: load_data(url, filepath, stage) without return types