class_docstr: Sentence (or sentence pair) prediction (classification or regression) task.
  
  Args:
      dictionary (Dictionary): the dictionary for the input of the task
code: def max_positions(self):
      return self.cfg.max_positions
  
imports: import logging
  import os
  import contextlib
  from dataclasses import dataclass, field
  from typing import Optional
  from omegaconf import MISSING, II, open_dict, OmegaConf
  import numpy
  from fairseq.data import ConcatSentencesDataset, Dictionary, IdDataset, NestedDictionaryDataset, NumelDataset, NumSamplesDataset, OffsetTokensDataset, PrependTokenDataset, RawLabelDataset, RightPadDataset, RightPaddingMaskDataset, RollDataset, SortDataset, StripTokenDataset, data_utils
  from fairseq.data.shorten_dataset import maybe_shorten_dataset
  from fairseq.tasks import FairseqDataclass, FairseqTask, register_task
  from fairseq.dataclass import ChoiceEnum
label_desc: Use image node_id 6 for calling the SentencePredictionTask obj's underlying member method code with example usage: obj.max_positions() and returns: self