code: def build(datapath):
      version = "v1.0"
      dpath = os.path.join(datapath, "safety_mix")
  
      if not build_data.built(dpath, version):
          logging.info("[building data: " + dpath + "]")
          if build_data.built(dpath):
              # An older version exists, so remove these outdated files.
              build_data.remove_dir(dpath)
          build_data.make_dir(dpath)
  
          # Download the data.
          for downloadable_file in RESOURCES:
              downloadable_file.download_file(dpath)
          random.seed(42)
          np.random.seed(42)
          # The number of user utterances for sampling
          random_nums = np.random.normal(loc=10, scale=2, size=100000)
          random_int_for_sample = np.round(random_nums)
          # load safety dataset
          with open(
              os.path.join(dpath, "single_turn_safety.json")
          ) as safety_file:
              safety_data = json.load(safety_file)
          for troll_type in TROLL_TYPES:
              # by default we do a 50% 50% mix with helpers and trolls
              ratios = {
                  "helper": 0.5,
                  "troll": 0.0,
                  "master_helper": 0.0,
                  "master_troll": 0.0,
                  "lazy_troll": 0.0,
                  "safe_troll": 0.0,
                  "unsafe_troll": 0.0,
                  "gaslight_troll": 0.0,
                  "happy_helper": 0.0,
              }
              # Set the troll type 50% accordingly
              ratios[troll_type] = 0.5
              # Set the noise ratio N for some type of trolls
              N = 0.8
              for generation_fold in ["train", "valid", "test"]:
                  # for deterministic data generation
                  random.seed(42)
                  np.random.seed(42)
                  dataset = generate_user_based_dataset(
                      N,
                      generation_fold,
                      safety_data,
                      ratios,
                      random_int_for_sample,
                  )
                  if generation_fold == "train":
                      logging.info(f"Stats for troll type {troll_type}")
                      analysis_dataset(dataset)
                  #         save_dataset(dataset)
                  save_dataset_for_two_class(
                      dataset, troll_type, dpath, generation_fold
                  )
                  # Mark the data as built.
                  build_data.mark_done(dpath, version)
  
file_path: ParlAI/parlai/tasks/safety_mix/build.py
imports: import copy
  import hashlib
  import json
  import os
  import random
  import numpy
  import parlai.core.build_data
  import parlai.utils.logging
  from parlai.core.build_data import DownloadableFile
label_desc: Use image node_id 10 for calling a global function with example usage: build(datapath) without return types