code: def numericalize(self, arr, device=None):
      if isinstance(arr[0][0], list):
          tmp = [
              super(BABI20Field, self)
              .numericalize(x, device=device)
              .data
              for x in arr
          ]
          arr = torch.stack(tmp)
          if self.sequential:
              arr = arr.contiguous()
          return arr
      else:
          return super(BABI20Field, self).numericalize(
              arr, device=device
          )
  
file_path: pytext/pytext/legacy/datasets/babi.py
imports: import os
  from io import open
  import torch
  from ..data import Dataset, Example, Field, Iterator
label_desc: Use image node_id 4 for calling the BABI20Field obj's underlying member method code with example usage: obj.numericalize(arr, device) and returns: arr, super