class_docstr: Dataset for Causal Language modeling.
docstr: Preprocesses the input dataframe
  
  Args:
      df: the full training dataframe
      cfg: config
      mode: the mode. One of {"train", "validation"}
  Returns:
      the processed dataframe
docstr_tok: ["Preprocesses","the","input","dataframe","Args",":","df",":","the","full","training","dataframe","cfg",":","config","mode",":","the","mode",".","One","of","{","``","train","''",",","``","validation","''","}","Returns",":","the","processed","dataframe"]
code: def preprocess_dataframe(
      df: pd.DataFrame, cfg: Any, mode: str
  ) -> pd.DataFrame:
      """
      Preprocesses the input dataframe
  
      Args:
          df: the full training dataframe
          cfg: config
          mode: the mode. One of {"train", "validation"}
      Returns:
          the processed dataframe
      """
  
      def personalize(text):
          text = text.replace(
              "Open Assistant", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "Open-Assistant", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "open-assistant", cfg.dataset.chatbot_name
          )
          text = text.replace("OpenAssistant", cfg.dataset.chatbot_name)
          text = text.replace(
              "open assistant", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "Open Assistand", cfg.dataset.chatbot_name
          )
          text = text.replace("Open Assitant", cfg.dataset.chatbot_name)
          text = text.replace(
              "Open Assistent", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "Open Assisstant", cfg.dataset.chatbot_name
          )
          text = text.replace("Open Assitent", cfg.dataset.chatbot_name)
          text = text.replace(
              "Open Assitiant", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "Open Assistiant", cfg.dataset.chatbot_name
          )
          text = text.replace(
              "Open Assitan ", cfg.dataset.chatbot_name + " "
          )
          text = text.replace(
              "Open Assistan ", cfg.dataset.chatbot_name + " "
          )
          text = text.replace("Open Asistant", cfg.dataset.chatbot_name)
          text = text.replace("Open Assiant", cfg.dataset.chatbot_name)
          text = text.replace("Assistant", cfg.dataset.chatbot_name)
          text = text.replace("LAION AI", cfg.dataset.chatbot_author)
          text = text.replace("LAION-AI", cfg.dataset.chatbot_author)
          text = text.replace(
              "LAION,", cfg.dataset.chatbot_author + ","
          )
          text = text.replace("LAION.ai", cfg.dataset.chatbot_author)
          text = text.replace(
              "LAION.", cfg.dataset.chatbot_author + "."
          )
          text = text.replace("LAION", cfg.dataset.chatbot_author)
          return text
  
      if cfg.dataset.personalize:
          for prompt_col in cfg.dataset.prompt_column:
              df[prompt_col] = df[prompt_col].apply(personalize)
          df[cfg.dataset.answer_column] = df[
              cfg.dataset.answer_column
          ].apply(personalize)
  
      return df
  
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 7 for calling the CustomDataset obj's underlying member method code with example usage: obj.preprocess_dataframe(df, cfg, mode) and returns: df, text