code: def read_qnli(dir_path):
      df_dict = dict()
      for fold in ["train", "dev", "test"]:
          csv_file = os.path.join(dir_path, "{}.tsv".format(fold))
          df = read_tsv_glue(csv_file, 1, True)
          if fold == "test":
              df_dict[fold] = df[["question", "sentence"]]
          else:
              df_dict[fold] = df[["question", "sentence", "label"]]
      return df_dict, None
  
imports: import os
  import shutil
  import argparse
  import zipfile
  import json
  import pandas
  import pyarrow
  import pyarrow.json
  from autogluon_contrib_nlp.utils.misc import download, load_checksum_stats
  from autogluon_contrib_nlp.base import get_data_home_dir
  from autogluon_contrib_nlp.data.tokenizers import WhitespaceTokenizer
label_desc: Use image node_id 10 for calling a global function with example usage: read_qnli(dir_path) and returns: df_dict,  None