class_docstr: Base class for data converters for sequence classification data sets.
class_docstr_tok: ["Base","class","for","data","converters","for","sequence","classification","data","sets","."]
docstr: Gets the list of labels for this data set.
docstr_tok: ["Gets","the","list","of","labels","for","this","data","set","."]
code: def get_labels(self):
      """Gets the list of labels for this data set."""
      raise NotImplementedError()
  
imports: import csv
  import dataclasses
  import json
  from dataclasses import dataclass
  from typing import List, Optional, Union
  from ...utils import is_tf_available, is_torch_available, logging
label_desc: Use image node_id 5 for calling the DataProcessor obj's underlying member method code with example usage: obj.get_labels() without return types