original_docstring: 
      Convert the CSV file of the text to a
      Dask Dataframe
      
docstring: Convert the CSV file of the text to a
  Dask Dataframe
docstring_tokens: Convert the CSV file of the text to a Dask Dataframe
code: def convert_jesc_to_dataframe():
      """
      Convert the CSV file of the text to a
      Dask Dataframe
      """
      dataset_path = paths.DATASET_TEXT_FOLDER
      print("Loading data and converting to Dask Dataframe")
      filename = "raw.txt"
      df = dd.read_csv(dataset_path + filename, sep="\t")
      df.columns = paths.LANGUAGES_SUPPORTED
  
      print("Saving data as Parquet archive")
      df.to_parquet(paths.DATASET_TEXT_JESC_DIALOGUES_FOLDER)
      os.remove(dataset_path + filename)
      os.remove(paths.DATASET_TEXT_RAW_JESC_DIALOGUES_FILE)
code_tokens: def convert_jesc_to_dataframe ( ) : dataset_path = paths . DATASET_TEXT_FOLDER print ( "Loading data and converting to Dask Dataframe" ) filename = "raw.txt" df = dd . read_csv ( dataset_path + filename , sep = "\t" ) df . columns = paths . LANGUAGES_SUPPORTED print ( "Saving data as Parquet archive" ) df . to_parquet ( paths . DATASET_TEXT_JESC_DIALOGUES_FOLDER ) os . remove ( dataset_path + filename ) os . remove ( paths . DATASET_TEXT_RAW_JESC_DIALOGUES_FILE )
short_docstring: Convert the CSV file of the text to a
  Dask Dataframe
short_docstring_tokens: Convert the CSV file of the text to a Dask Dataframe
comment: """
      Convert the CSV file of the text to a
      Dask Dataframe
      """