def make_feature_label_ph_pair(context):
  """Return a dict of feature placeholders paired with label placeholder.

  Args:
    context: a NeuralQueryContext

  Returns:
    a pair feature_ph_dict, labels_ph
  """
  question_name = get_text_module_input_name()
  feature_ph_dict = {
      question_name: dataset.placeholder_for_type(context, str),
      'seeds': dataset.placeholder_for_type(context, 'entity_t')
  }
  labels_ph = dataset.placeholder_for_type(context, 'entity_t')
  return feature_ph_dict, labels_ph
Return a dict of feature placeholders paired with label placeholder.

  Args:
    context: a NeuralQueryContext

  Returns:
    a pair feature_ph_dict, labels_ph
  
language/nql/demos/metaqa/metaqa.py