code: def get_nq_dataset(qa_data, split):
      args = get_args()
      tokenizer = get_tokenizer()
  
      dataset = NQDataset(
          "Google NQ {} Split".format(split),
          "Google Natural Questions",
          qa_data,
          tokenizer,
          args.retriever_seq_length,
      )
      return dataset
  
imports: from abc import ABC
  import csv
  from collections import OrderedDict
  import numpy
  import torch
  from torch.utils.data import DataLoader
  from torch.utils.data import Dataset, BatchSampler
  from megatron import print_rank_0, get_args, get_tokenizer
  from megatron.data.biencoder_dataset_utils import make_attention_mask
label_desc: Use image node_id 1 for calling a global function with example usage: get_nq_dataset(qa_data, split) and returns: dataset