class_docstr: Full Wikipedia teacher that splits the chunks into train/valid/test.
class_docstr_tok: ["Full","Wikipedia","teacher","that","splits","the","chunks","into","train\/valid\/test","."]
docstr: Return the number of samples given the datatype.
docstr_tok: ["Return","the","number","of","samples","given","the","datatype","."]
code: def get_num_samples(self, opt) -> Tuple[int, int]:
      """
      Return the number of samples given the datatype.
      """
      datatype = opt["datatype"]
      if "train" in datatype:
          return self.TRAINSIZE, self.TRAINSIZE
      elif "valid" in datatype:
          return self.VALIDSIZE, self.VALIDSIZE
      else:
          # test
          return self.TESTSIZE, self.TESTSIZE
  
imports: from parlai.core.teachers import DialogTeacher, ChunkTeacher, ChunkOutput
  from parlai.utils.io import PathManager
  from parlai.core.message import Message
  from .build import build
  import json
  import os
  from typing import List, Tuple
label_desc: Use image node_id 3 for calling the FullSplitTeacher obj's underlying member method code with example usage: obj.get_num_samples(opt) and returns: self,  self, self,  self, self,  self