code: def preprocess_wsc(dataset: Dataset) -> Dict[str, List[str]]:
      """Forms proper sentences from spans1 that are always entities and spans2 that describe these entities.
  
      Args:
          dataset: A given dataset.
  
      Returns:
          Dict[str, List[str]]: Answers that form proper sentences from capitalized spans1 and spans2.
  
      """
      spans1: List[str] = dataset["span1_text"]
      spans2: List[str] = dataset["span2_text"]
      answers = [
          f"{s2.capitalize()} {s1}" for s1, s2 in zip(spans1, spans2)
      ]
      return {"answer": answers}
  
file_path: DeepPavlov/deeppavlov/dataset_readers/huggingface_dataset_reader.py
imports: import re
  from collections import Counter
  from math import floor
  from typing import Dict, Optional, List, Union
  from datasets import load_dataset, Dataset, Features, ClassLabel, concatenate_datasets
  from deeppavlov.core.common.registry import register
  from deeppavlov.core.data.dataset_reader import DatasetReader
label_desc: Use image node_id 9 for calling a global function with example usage: preprocess_wsc(dataset) and returns: dict