code: def batch_to_inputs(batch):
      inputs = {
          "input_ids": batch[0],
          "attention_mask": batch[1],
          "token_type_ids": batch[2],
          "labels": batch[3],
      }
  
      return inputs
  
imports: from __future__ import print_function, unicode_literals
  import random
  from contextlib import closing
  from multiprocessing import Pool
  import numpy
  import pandas
  import torch
  from torch.utils.data import DataLoader, RandomSampler, SequentialSampler, TensorDataset, random_split
  from torchtext.legacy import data
  from tqdm import tqdm
label_desc: Use image node_id 4 for calling a global function with example usage: batch_to_inputs(batch) and returns: inputs