code: def __init__(self, dataset):
      super(TextClassificationDataset, self).__init__()
      self.dataset = dataset
      self.set_attrs(total_len=len(dataset))
  
imports: import os
  import sys
  import time
  from datasets import load_dataset
  from datasets import DatasetDict
  import jittor
  from jittor import nn, Module
  from jittor.dataset import Dataset
  from fastNLP.core.controllers.trainer import Trainer
  from fastNLP.core.metrics.accuracy import Accuracy
  from fastNLP.core.vocabulary import Vocabulary
  from fastNLP.core.callbacks.progress_callback import RichCallback
  from fastNLP.core.callbacks.callback import Callback
  from fastNLP.core.dataloaders.jittor_dataloader.fdl import JittorDataLoader
label_desc: Use image node_id 1 to create a new TextClassificationDataset object from inherited base classes: Dataset with example: obj = TextClassificationDataset(dataset)