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: H2O/h2o_flexgen/benchmark/third_party/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
  import transformers
  from transformers import AutoConfig, AutoModelForSequenceClassification, AutoTokenizer, HfArgumentParser, Trainer, TrainingArguments, default_data_collator, set_seed
  from transformers.trainer_utils import is_main_process
  from utils_hans import HansDataset, InputFeatures, hans_processors, hans_tasks_num_labels
label_desc: Use image node_id 1 for calling a global function with example usage: hans_data_collator(features) and returns: batch