class_docstr: A single set of features of data.
code: def __init__(
      self,
      input_ids,
      input_mask,
      segment_ids,
      label_ids,
      token_type_ids,
  ):
      self.input_ids = input_ids
      self.input_mask = input_mask
      self.segment_ids = segment_ids
      self.label_ids = label_ids
      self.token_type_ids = token_type_ids
  
imports: from __future__ import absolute_import, division, print_function
  import json
  import logging
  import os
  import sys
  from copy import deepcopy
  from io import open
  from transformers import XLMRobertaTokenizer, BertTokenizer, RobertaTokenizer, AutoTokenizer
  from .utils_ee import read_by_lines, write_by_lines, load_dict, label_data, process_remained_pred_trigger, clear_wrong_tokens
  from torch.nn.utils.rnn import pad_sequence
  from tqdm import tqdm
label_desc: Use image node_id 1 to create a new InputFeatures object from inherited base classes: object with example: obj = InputFeatures(input_ids, input_mask, segment_ids, label_ids, token_type_ids)