code: def read_rte_superglue(dir_path):
      df_dict = dict()
      for fold in ["train", "val", "test"]:
          if fold == "test":
              columns = ["premise", "hypothesis"]
          else:
              columns = ["premise", "hypothesis", "label"]
          jsonl_path = os.path.join(dir_path, "{}.jsonl".format(fold))
          df = read_jsonl_superglue(jsonl_path)
          df = df[columns]
          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 17 for calling a global function with example usage: read_rte_superglue(dir_path) and returns: df_dict,  None