class_docstr: Abstract parent class for HuggingFace teachers. Extend this class and specify the
  attributes below to use a different dataset.
  
  hf_path = path parameter passed into hugging face load_dataset function
  hf_name = name parameter passed into hugging face load_dataset function
  hf_text_fields = list of names of the data fields from the dataset to be included in the text/query
  hf_message_fields = [optional] list of names of the data fields from the dataset to be included in the message object but *not* text
  hf_label_field = name of the data field from the hf dataset that specifies the label of the episode
  hf_splits_mapping = dictionary mapping with the keys 'train', 'valid', and 'test', that map to the
  names of the splits of the hf dataset.
  render_text_field = bool where if True, will include the text field name in the query (e.g. "sentence: <sentence>")
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code: def _path(self, opt):
      if self.hf_name:
          return os.path.join(
              opt["datapath"],
              "huggingface",
              self.hf_path,
              self.hf_name,
              self.fold,
          )
      return os.path.join(
          opt["datapath"], "huggingface", self.hf_path, self.fold
      )
  
file_path: ParlAI/parlai/tasks/huggingface/agents.py
imports: from parlai.core.build_data import make_dir
  from parlai.core.teachers import DialogTeacher
  from parlai.utils.data import DatatypeHelper
  from typing import Dict, Iterable, List, Optional, Tuple
  from typing_extensions import TypedDict
  import os
  import datasets
label_desc: Use image node_id 2 for calling the AbstractHuggingFaceTeacher obj's underlying member method code with example usage: obj._path(opt) and returns: os, os