code: def hans_data_collator(
      features: List[InputFeatures],
  ) -> Dict[str, torch.Tensor]:
      """
      Data collator that removes the "pairID" key if present.
      """
      batch = default_data_collator(features)
      _ = batch.pop("pairID", None)
      return batch
  
file_path: transformers/examples/research_projects/adversarial/run_hans.py
imports: import logging
  import os
  from dataclasses import dataclass, field
  from typing import Dict, List, Optional
  import numpy
  import torch
  from utils_hans import HansDataset, InputFeatures, hans_processors, hans_tasks_num_labels
  import transformers
  from transformers import AutoConfig, AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Trainer, TrainingArguments, default_data_collator, set_seed
  from transformers.trainer_utils import is_main_process
label_desc: Use image node_id 1 for calling a global function with example usage: hans_data_collator(features) and returns: batch