class_docstr: Field for parsed sentences data in NLI datasets.
  Expensive tokenization could be omitted from the pipeline as
  the parse tree annotations are already in tokenized form.
class_docstr_tok: ["Field","for","parsed","sentences","data","in","NLI","datasets",".","Expensive","tokenization","could","be","omitted","from","the","pipeline","as","the","parse","tree","annotations","are","already","in","tokenized","form","."]
code: def __init__(self, eos_token="<pad>", lower=False, reverse=False):
      if reverse:
          super(ParsedTextField, self).__init__(
              eos_token=eos_token,
              lower=lower,
              preprocessing=lambda parse: [
                  t for t in parse if t not in ("(", ")")
              ],
              postprocessing=lambda parse, _: [
                  list(reversed(p)) for p in parse
              ],
              include_lengths=True,
          )
      else:
          super(ParsedTextField, self).__init__(
              eos_token=eos_token,
              lower=lower,
              preprocessing=lambda parse: [
                  t for t in parse if t not in ("(", ")")
              ],
              include_lengths=True,
          )
  
imports: from ..None import data
label_desc: Use image node_id 1 to create a new ParsedTextField object from inherited base classes: data with example: obj = ParsedTextField(eos_token, lower, reverse)