code: def load_and_cache_examples(args, tokenizer):
      dataset = CNNDMDataset(args.documents_dir)
      return dataset
  
imports: import argparse
  import logging
  import os
  import sys
  from collections import namedtuple
  import torch
  from modeling_bertabs import BertAbs, build_predictor
  from torch.utils.data import DataLoader, SequentialSampler
  from tqdm import tqdm
  from transformers import BertTokenizer
  from .utils_summarization import CNNDMDataset, build_mask, compute_token_type_ids, encode_for_summarization, truncate_or_pad
label_desc: Use image node_id 7 for calling a global function with example usage: load_and_cache_examples(args, tokenizer) and returns: dataset