code: def _add_data_args(parser):
      group = parser.add_argument_group(title="data and dataloader")
  
      group.add_argument(
          "--data-path",
          nargs="*",
          default=None,
          help="Path to the training dataset. Accepted format:"
          "1) a single data path, 2) multiple datasets in the"
          "form: dataset1-weight dataset1-path dataset2-weight "
          "dataset2-path ... It is used with --split when a "
          "single dataset used for all three: train, valid "
          "and test. It is exclusive to the other "
          "--*-data-path args",
      )
      group.add_argument(
          "--split",
          type=str,
          default="969, 30, 1",
          help="Comma-separated list of proportions for training,"
          " validation, and test split. For example the split "
          "`90,5,5` will use 90%% of data for training, 5%% for "
          "validation and 5%% for test.",
      )
      group.add_argument(
          "--train-data-path",
          nargs="*",
          default=None,
          help="Path to the training dataset. Accepted format:"
          "1) a single data path, 2) multiple datasets in the"
          "form: dataset1-weight dataset1-path dataset2-weight "
          "dataset2-path ...",
      )
      group.add_argument(
          "--valid-data-path",
          nargs="*",
          default=None,
          help="Path to the validation dataset. Accepted format:"
          "1) a single data path, 2) multiple datasets in the"
          "form: dataset1-weight dataset1-path dataset2-weight "
          "dataset2-path ...",
      )
      group.add_argument(
          "--test-data-path",
          nargs="*",
          default=None,
          help="Path to the test dataset. Accepted format:"
          "1) a single data path, 2) multiple datasets in the"
          "form: dataset1-weight dataset1-path dataset2-weight "
          "dataset2-path ...",
      )
      group.add_argument(
          "--data-cache-path",
          default=None,
          help="Path to a directory to hold cached index files.",
      )
  
      group.add_argument(
          "--vocab-size",
          type=int,
          default=None,
          help="Size of vocab before EOD or padding.",
      )
      group.add_argument(
          "--vocab-file",
          type=str,
          default=None,
          help="Path to the vocab file.",
      )
      group.add_argument(
          "--merge-file",
          type=str,
          default=None,
          help="Path to the BPE merge file.",
      )
      group.add_argument(
          "--vocab-extra-ids",
          type=int,
          default=0,
          help="Number of additional vocabulary tokens. "
          "They are used for span masking in the T5 model",
      )
      group.add_argument(
          "--seq-length",
          type=int,
          default=None,
          help="Maximum sequence length to process.",
      )
      group.add_argument(
          "--encoder-seq-length",
          type=int,
          default=None,
          help="Maximum encoder sequence length to process."
          "This should be exclusive of --seq-length",
      )
      group.add_argument(
          "--decoder-seq-length",
          type=int,
          default=None,
          help="Maximum decoder sequence length to process.",
      )
      group.add_argument(
          "--retriever-seq-length",
          type=int,
          default=256,
          help="Maximum sequence length for the biencoder model "
          "for retriever",
      )
      group.add_argument(
          "--sample-rate",
          type=float,
          default=1.0,
          help="sample rate for training data. Supposed to be 0 "
          " < sample_rate < 1",
      )
      group.add_argument(
          "--mask-prob",
          type=float,
          default=0.15,
          help="Probability of replacing a token with mask.",
      )
      group.add_argument(
          "--short-seq-prob",
          type=float,
          default=0.1,
          help="Probability of producing a short sequence.",
      )
      group.add_argument(
          "--num-workers",
          type=int,
          default=2,
          help="Dataloader number of workers.",
      )
      group.add_argument(
          "--tokenizer-type",
          type=str,
          default=None,
          choices=[
              "BertWordPieceLowerCase",
              "BertWordPieceCase",
              "GPT2BPETokenizer",
              "SentencePieceTokenizer",
              "GPTSentencePieceTokenizer",
              "Llama2Tokenizer",
              "NullTokenizer",
          ],
          help="What type of tokenizer to use.",
      )
      group.add_argument(
          "--tokenizer-model",
          type=str,
          default=None,
          help="Sentencepiece tokenizer model.",
      )
      group.add_argument(
          "--reset-position-ids",
          action="store_true",
          help="Reset posistion ids after end-of-document token.",
      )
      group.add_argument(
          "--reset-attention-mask",
          action="store_true",
          help="Reset self attention maske after "
          "end-of-document token.",
      )
      group.add_argument(
          "--eod-mask-loss",
          action="store_true",
          help="Mask loss for the end of document tokens.",
      )
  
      return parser
  
imports: import argparse
  import dataclasses
  import json
  import os
  import torch
  import types
  import torch.nn.functional
  from megatron.global_vars import set_retro_args, get_retro_args
  from tools.retro.utils import get_args_path
  from megatron.core.models.retro import RetroConfig
  from megatron.core.transformer import TransformerConfig
label_desc: Use image node_id 19 for calling a global function with example usage: _add_data_args(parser) and returns: parser