code: def load_from_raw_file(raw_file):
      with open(raw_file) as f:
          rows = f.read().strip().split("\n\n")
      sentences = [
          UDSentence.load_from_raw_content(content) for content in rows
      ]
      dataset = UDDataset(sentences)
      return dataset
  
imports: from os.path import dirname, join, exists
  from torch.utils.data import Dataset
  from underthesea import pos_tag
  from underthesea import dependency_parse
  from underthesea.utils.col_analyzer import UDAnalyzer
label_desc: Use image node_id 7 for calling the UDDataset obj's underlying member method code with example usage: obj.load_from_raw_file(raw_file) and returns: dataset