code: def __getitem__(self, idx):
      return {
          "x": self.dataset["input_ids"][idx],
          "y": self.dataset["label"][idx],
      }
  
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 2 for calling the TextClassificationDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: dict