code: def read(self, file_in: str):
      save_file = (
          file_in.split(".json")[0]
          + "_"
          + self.transformers
          + "_"
          + self.dataset
          + ".pkl"
      )
      if self.dataset == "docred":
          return read_docred(
              self.args,
              self.transformers,
              file_in,
              save_file,
              self.tokenizer,
              self.max_seq_Length,
          )
      else:
          raise RuntimeError("No read func for this dataset.")
  
file_path: DeepKE/src/deepke/relation_extraction/document/prepro.py
imports: from tqdm import tqdm
  import torch.nn.functional
  import ujson
  import os
  import pickle
  import numpy
  import torch
label_desc: Use image node_id 2 for calling the ReadDataset obj's underlying member method code with example usage: obj.read(file_in) and returns: read_docred