code: def import_tree_corpus(labels_path, parents_path, texts_path):
      
      with codecs.open(labels_path, "r", "UTF-8") as f:
          label_lines = f.readlines()
      with codecs.open(parents_path, "r", "UTF-8") as f:
          parent_lines = f.readlines()
      with codecs.open(texts_path, "r", "UTF-8") as f:
          word_lines = f.readlines()
      assert len(label_lines) == len(parent_lines)
      assert len(label_lines) == len(word_lines)
  
      trees = []
  
      for labels, parents, words in zip(label_lines, parent_lines, word_lines):
          labels  = [int(l) + 2 for l in labels.strip().split(" ")]
          parents = [int(l) for l in parents.strip().split(" ")]
          words   = words.strip().split(" ")
          assert len(labels) == len(parents)
          trees.append(read_tree(parents, labels, words))
      return trees
docs: Import dataset from the TreeLSTM data generation scrips.
  
      Arguments:
      ----------
          labels_path : str, where are labels are stored (should be in
              data/sst/labels.txt).
          parents_path : str, where the parent relationships are stored
              (should be in data/sst/parents.txt).
          texts_path : str, where are strings for each tree are stored
              (should be in data/sst/sents.txt).
  
      Returns:
      --------
          list<LabeledTree> : loaded example trees.