class_docstr: Dataset for Causal Language modeling.
docstr: Returns train batch collate function for the PyTorch Dataloader.
  By default returns None that uses the default PyTorch collate
docstr_tok: ["Returns","train","batch","collate","function","for","the","PyTorch","Dataloader",".","By","default","returns","None","that","uses","the","default","PyTorch","collate"]
code: def get_train_collate_fn(self):
      """
      Returns train batch collate function for the PyTorch Dataloader.
      By default returns None that uses the default PyTorch collate
      """
  
      return None
  
imports: import codecs
  import collections.abc
  import logging
  from typing import Any, Dict, List, Tuple, Union
  import numpy
  import pandas
  import torch
  from torch.utils.data import Dataset
  from llm_studio.src.datasets.conversation_chain_handler import ConversationChainHandler
  from llm_studio.src.datasets.text_utils import get_tokenizer
label_desc: Use image node_id 8 for calling the CustomDataset obj's underlying member method code with example usage: obj.get_train_collate_fn() and returns: None