text: from spinn import util
  
  from spinn.data.dual_arithmetic.base import NUMBERS, FIXED_VOCABULARY
  
  SENTENCE_PAIR_DATA = True
  OUTPUTS = ["<", ">", "="]
  LABEL_MAP = {str(x): i for i, x in enumerate(OUTPUTS)}
  
  def load_data(path, lowercase=None):
      examples = []
      with open(path) as f:
          for pairID, line in enumerate(f):
              line = line.strip()
              label, s1, s2 = line.split('\t')
              tokens1, transitions1 = util.convert_binary_bracketed_seq(s1.split(' '))
              tokens2, transitions2 = util.convert_binary_bracketed_seq(s2.split(' '))
  
              example = {}
              example["label"] = label
              example["premise"] = s1
              example["premise_tokens"] = tokens1
              example["premise_transitions"] = transitions1
              example["hypothesis"] = s2
              example["hypothesis_tokens"] = tokens2
              example["hypothesis_transitions"] = transitions2
              example["example_id"] = str(pairID)
  
              examples.append(example)
      return examples, FIXED_VOCABULARY
  