code: def __init__(
      self, path, fields, encoding="utf-8", separator="\t", **kwargs
  ):
      examples = []
      columns = [[], []]
      column_map = {1: 0, 6: 1}
      with open(path, encoding=encoding) as input_file:
          for line in input_file:
              line = line.strip()
              if line == "":
                  if columns:
                      examples.append(
                          data.Example.fromlist(columns, fields)
                      )
                  columns = [[], []]
              else:
                  for i, column in enumerate(line.split(separator)):
                      if i in column_map:
                          columns[column_map[i]].append(column)
  
          if columns:
              examples.append(data.Example.fromlist(columns, fields))
      super(ConllXDataset, self).__init__(examples, fields, **kwargs)
  
file_path: pytorch-struct/examples/data/trees.py
imports: import torchtext.data
  import torch
label_desc: Use image node_id 1 to create a new ConllXDataset object from inherited base classes: data with example: obj = ConllXDataset(path, fields, encoding, separator)