class_docstr: Memory-mapped text sequence to sequence dataset. Operates pre-tokenized binarized data files.
class_docstr_tok: ["Memory-mapped","text","sequence","to","sequence","dataset",".","Operates","pre-tokenized","binarized","data","files","."]
code: def _get_indexed_dataset(self, data_prefix, data_impl, skip_warmup):
      indexed_dataset = get_indexed_dataset_(
          data_prefix, data_impl, skip_warmup
      )
      return indexed_dataset
  
imports: import os
  import numpy
  import torch
  from nemo.collections.common.tokenizers.tokenizer_spec import TokenizerSpec
  from nemo.collections.nlp.data.language_modeling.megatron.dataset_utils import get_indexed_dataset_, get_samples_mapping
  from nemo.collections.nlp.data.language_modeling.text_memmap_dataset import TextMemMapDataset
  from nemo.core.classes import Dataset
  from nemo.utils import logging
label_desc: Use image node_id 4 for calling the BinarizedMemmapSequenceToSequenceDataset obj's underlying member method code with example usage: obj._get_indexed_dataset(data_prefix, data_impl, skip_warmup) and returns: indexed_dataset