class_docstr: The low-level interface dataset class
  
  Args:
      path_prefix (str): The index (.idx) and data (.bin) prefix
  
      multimodal (bool, optional): Whether the dataset is multimodal. Defaults to False.
class_docstr_tok: ["The","low-level","interface","dataset","class","Args",":","path_prefix","(","str",")",":","The","index","(",".idx",")","and","data","(",".bin",")","prefix","multimodal","(","bool",",","optional",")",":","Whether","the","dataset","is","multimodal",".","Defaults","to","False","."]
docstr: Set the document indices
  
  This method is slated for deprecation.
  
  Args:
      document_indices (numpy.ndarray): The document indices
docstr_tok: ["Set","the","document","indices","This","method","is","slated","for","deprecation",".","Args",":","document_indices","(","numpy.ndarray",")",":","The","document","indices"]
code: def set_document_indices(
      self, document_indices: numpy.ndarray
  ) -> None:
      """Set the document indices
  
      This method is slated for deprecation.
  
      Args:
          document_indices (numpy.ndarray): The document indices
      """
      self.index.document_indices = document_indices
  
imports: import logging
  import os
  import shutil
  import struct
  import time
  from enum import Enum
  from functools import lru_cache
  from itertools import accumulate
  from types import TracebackType
  from typing import List, Optional, Tuple, Type, Union
  import numpy
  import torch
  from megatron.core.datasets.utils import log_single_rank
label_desc: Use image node_id 12 for calling the MMapIndexedDataset obj's underlying member method code with example usage: obj.set_document_indices(document_indices) without return types