code: def read_mrpc(dir_path):
      df_dict = dict()
      for fold in ["train", "dev", "test"]:
          tsv_file = os.path.join(dir_path, "{}.tsv".format(fold))
          df = read_tsv_glue(tsv_file)
          if fold == "test":
              df = df[[3, 4]]
              df.columns = ["sentence1", "sentence2"]
          else:
              df = df[[3, 4, 0]]
              df.columns = ["sentence1", "sentence2", "label"]
          df_dict[fold] = df
      return df_dict, None
  
imports: import os
  import shutil
  import argparse
  import zipfile
  import json
  import pandas
  import pyarrow
  import pyarrow.json
  from gluonnlp.utils.misc import download, load_checksum_stats
  from gluonnlp.base import get_data_home_dir
  from gluonnlp.data.tokenizers import WhitespaceTokenizer
label_desc: Use image node_id 5 for calling a global function with example usage: read_mrpc(dir_path) and returns: df_dict,  None