class_docstr: Retro's customized GPT dataset.
  
  Args:
      indexed_dataset (MMapIndexedDataset): The MMapIndexedDataset around which to build the
      MegatronDataset
  
      indexed_indices (numpy.ndarray): The set of the documents indices to expose
  
      num_samples (int): The number of samples to draw from the indexed dataset
  
      index_split (Split): The indexed_indices Split
  
      config (MultiSplitGPTDatasetConfig): The Retro-specific container for all config sourced parameters
class_docstr_tok: ["Retro","'s","customized","GPT","dataset",".","Args",":","indexed_dataset","(","MMapIndexedDataset",")",":","The","MMapIndexedDataset","around","which","to","build","the","MegatronDataset","indexed_indices","(","numpy.ndarray",")",":","The","set","of","the","documents","indices","to","expose","num_samples","(","int",")",":","The","number","of","samples","to","draw","from","the","indexed","dataset","index_split","(","Split",")",":","The","indexed_indices","Split","config","(","MultiSplitGPTDatasetConfig",")",":","The","Retro-specific","container","for","all","config","sourced","parameters"]
docstr: Inherited method implementation
  
  The preprocessing split used for preprocessing will constrain the samples available for 
  pretraining.
  
  Returns:
      List[str]: The key config attributes
docstr_tok: ["Inherited","method","implementation","The","preprocessing","split","used","for","preprocessing","will","constrain","the","samples","available","for","pretraining",".","Returns",":","List","[","str","]",":","The","key","config","attributes"]
code: def _key_config_attributes() -> List[str]:
      """Inherited method implementation
  
      The preprocessing split used for preprocessing will constrain the samples available for
      pretraining.
  
      Returns:
          List[str]: The key config attributes
      """
      return super(
          MultiSplitGPTDataset, MultiSplitGPTDataset
      )._key_config_attributes() + ["split_preprocessing"]
  
file_path: megatron-lm/tools/retro/query/multi_split_gpt_dataset.py
imports: import logging
  from dataclasses import dataclass
  from typing import Dict, List
  import numpy
  import torch
  from megatron.core.datasets.blended_megatron_dataset_config import convert_split_vector_to_split_matrix, parse_and_normalize_split
  from megatron.core.datasets.gpt_dataset import GPTDataset, GPTDatasetConfig
  from megatron.core.datasets.indexed_dataset import MMapIndexedDataset
  from megatron.core.datasets.utils import Split, log_single_rank
label_desc: Use image node_id 3 for calling the MultiSplitGPTDataset obj's underlying member method code with example usage: obj._key_config_attributes() and returns: unknown