code: def output_types(self) -> Optional[Dict[str, NeuralType]]:
      return {
          "sentences": [NeuralType(("T"), StringType())],
          "labels": [NeuralType(("T"), StringLabel())],
      }
  
file_path: NeMo/nemo/collections/nlp/data/text_classification/ptune_text_classification_dataset.py
imports: import json
  import os
  from typing import Dict, List, Optional
  from nemo.core.classes import Dataset
  from nemo.core.neural_types import NeuralType, StringLabel, StringType
label_desc: Use image node_id 1 for calling the PTuneTextClassificationDataset obj's underlying member method code with example usage: obj.output_types() and returns: dict