def __init__(self,
               guid,
               text_a,
               text_b_list=None,
               text_b_guids=None,
               labels=None,
               scores=None):
    """Constructs a InputExample.

    Args:
      guid: Unique id for the example.
      text_a: string. The untokenized text of the first sequence. This is the
        query.
      text_b_list : list of string. A list of the untokenized texts of the
        second sequences. Only must be specified for sequence pair tasks.
      text_b_guids: indices of candidate passages.
      labels: (Optional) list of string. The relevance of each instance. This
        should be specified for train and dev examples, but not for test
        examples.
      scores: list of floats of scores according to a first-pass model
    """
    self.guid = guid
    self.text_a = text_a
    self.text_b_list = text_b_list
    self.text_b_guids = text_b_guids
    self.labels = labels
    self.scores = scores
Constructs a InputExample.

    Args:
      guid: Unique id for the example.
      text_a: string. The untokenized text of the first sequence. This is the
        query.
      text_b_list : list of string. A list of the untokenized texts of the
        second sequences. Only must be specified for sequence pair tasks.
      text_b_guids: indices of candidate passages.
      labels: (Optional) list of string. The relevance of each instance. This
        should be specified for train and dev examples, but not for test
        examples.
      scores: list of floats of scores according to a first-pass model
    
language/multivec/preprocessing/create_training_data.py