class_docstr: A single set of features of data. Property names are the same names as the corresponding inputs to a model.
  
  Args:
      input_ids: Indices of input sequence tokens in the vocabulary.
      attention_mask: Mask to avoid performing attention on padding token indices.
          Mask values selected in `[0, 1]`: Usually `1` for tokens that are NOT MASKED, `0` for MASKED (padded)
          tokens.
      token_type_ids: (Optional) Segment token indices to indicate first and second
          portions of the inputs. Only some models use them.
      label: (Optional) Label corresponding to the input. Int for classification problems,
          float for regression problems.
class_docstr_tok: ["A","single","set","of","features","of","data",".","Property","names","are","the","same","names","as","the","corresponding","inputs","to","a","model",".","Args",":","input_ids",":","Indices","of","input","sequence","tokens","in","the","vocabulary",".","attention_mask",":","Mask","to","avoid","performing","attention","on","padding","token","indices",".","Mask","values","selected","in","`","[","0",",","1","]","`",":","Usually","`","1","`","for","tokens","that","are","NOT","MASKED",",","`","0","`","for","MASKED","(","padded",")","tokens",".","token_type_ids",":","(","Optional",")","Segment","token","indices","to","indicate","first","and","second","portions","of","the","inputs",".","Only","some","models","use","them",".","label",":","(","Optional",")","Label","corresponding","to","the","input",".","Int","for","classification","problems",",","float","for","regression","problems","."]
docstr: Serializes this instance to a JSON string.
docstr_tok: ["Serializes","this","instance","to","a","JSON","string","."]
code: def to_json_string(self):
      """Serializes this instance to a JSON string."""
      return json.dumps(dataclasses.asdict(self)) + "\n"
  
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 1 for calling the InputFeatures obj's underlying member method code with example usage: obj.to_json_string() and returns: unknown