class_docstr: Yahoo! Answers Topic Classification Dataset
  
  Examples:
  
  ..  code-block:: python
  
      from openprompt.data_utils.text_classification_dataset import PROCESSORS
  
      base_path = "datasets/TextClassification"
code: def __init__(self):
      super().__init__()
      self.labels = [
          "Society & Culture",
          "Science & Mathematics",
          "Health",
          "Education & Reference",
          "Computers & Internet",
          "Sports",
          "Business & Finance",
          "Entertainment & Music",
          "Family & Relationships",
          "Politics & Government",
      ]
  
imports: import os
  import json, csv
  from abc import ABC, abstractmethod
  from collections import defaultdict, Counter
  from typing import List, Dict, Callable
  from openprompt.utils.logging import logger
  from openprompt.data_utils.utils import InputExample
  from openprompt.data_utils.data_processor import DataProcessor
label_desc: Use image node_id 1 to create a new YahooProcessor object from inherited base classes: DataProcessor with example: obj = YahooProcessor()