code: def main(opt):
      ### The line that constrcuts the context is:
      # context = "Premise: " + struct["premise"] + "\nHypothesis: " + struct["hypothesis"] + "\nExplanation: "
      ## The "Explanation" is followed by the GPT-3 generations
      datasets = opt["datasets"]
      path_to_data = opt["dataset_path"]
      path_to_generation = opt["generation_path"]
      output_path = opt["out_dir"]
  
      for dataset in datasets:
          input_file = os.path.join(path_to_data, dataset + ".txt")
          model_output_reasoning = os.path.join(
              path_to_generation, dataset + "_reasoning.txt"
          )
          save_file = os.path.join(output_path, dataset + ".json")
  
          if dataset == "drop":
              parse_drop(input_file, model_output_reasoning, save_file)
              print(f"Saved DROP dataset in {save_file}")
          elif dataset == "esnli":
              parse_esnli(input_file, model_output_reasoning, save_file)
              print(f"Saved E-SNLI dataset in {save_file}")
          elif dataset == "cosmos":
              parse_cosmos(
                  input_file, model_output_reasoning, save_file
              )
              print(f"Saved COSMOSQA dataset in {save_file}")
          elif dataset == "semevalcommonsense":
              parse_semeval(
                  input_file, model_output_reasoning, save_file
              )
              print(f"Saved SEMEVAL dataset in {save_file}")
          elif dataset == "gsm8k":
              parse_gsm8k(input_file, save_file)
              print(f"Saved GSM8K dataset in {save_file}")
          else:
              raise NotImplementedError(
                  f"Dataset {dataset} not recognized"
              )
  
file_path: ParlAI/projects/roscoe/roscoe_data/restore_annotated.py
imports: import json
  import csv
  import os
  import re
  import xmltodict
  from parlai.core.params import ParlaiParser
label_desc: Use image node_id 7 for calling a global function with example usage: main(opt) without return types