class_docstr: This teacher inherits from the core Dialog Teacher, which just requires it to define
  an iterator over its data `setup_data` in order to inherit basic metrics, a default
  `act` function, and enables Hogwild training with shared memory with no extra work.
class_docstr_tok: ["This","teacher","inherits","from","the","core","Dialog","Teacher",",","which","just","requires","it","to","define","an","iterator","over","its","data","`","setup_data","`","in","order","to","inherit","basic","metrics",",","a","default","`","act","`","function",",","and","enables","Hogwild","training","with","shared","memory","with","no","extra","work","."]
code: def __init__(self, opt, shared=None):
      self.datatype = opt["datatype"]
      build(opt)
      opt["datafile"] = os.path.join(
          opt["datapath"],
          "Ubuntu",
          opt["datatype"].split(":")[0] + ".csv",
      )
      super().__init__(opt, shared)
  
imports: from parlai.core.teachers import DialogTeacher, FixedDialogTeacher
  from parlai.utils.io import PathManager
  from .build import build
  import csv
  import random
  import os
label_desc: Use image node_id 1 to create a new UbuntuTeacher object from inherited base classes: DialogTeacher with example: obj = UbuntuTeacher(opt, shared)