code: def _get_answer(answer_dict):
      if answer_dict.get("number", ""):
          return answer_dict["number"]
      elif answer_dict.get("date", {}).get("day", ""):
          return (
              f'{answer_dict["date"]["year"]}-'
              f'{answer_dict["date"]["month"]}-{answer_dict["date"]["day"]}'
          )
      elif answer_dict.get("spans", []):
          return answer_dict["spans"][0]
      else:
          return ""
  
file_path: datasets/tensorflow_datasets/text/drop/drop.py
imports: import json
  import tensorflow_datasets.public_api
label_desc: Use image node_id 1 for calling a global function with example usage: _get_answer(answer_dict) and returns: answer_dict, answer_dict, str, answer_dict, str, answer_dict, answer_dict, str