class_docstr: The Pile corpus from this paper:
  https://arxiv.org/pdf/2101.00027.pdf
code: def load_and_cache_all_subsets(self):
      data_path = os.path.join(self.output_path, "data")
      subsets = {subset: [] for subset in self.pile_subsets}
  
      # Load all data into memory
      with htrack_block("Loading"):
          hlog(f"Loading all data from {data_path}")
          with open(data_path) as f:
              data = [json.loads(line) for line in f]
  
      # Classify the documents by subset
      hlog("Classifying the documents into subsets")
      for doc in data:
          subsets[doc["meta"]["pile_set_name"]].append([doc["text"]])
  
      # Write each subset to disk
      with htrack_block("Caching"):
          hlog(f"Caching subsets to {self.output_path}")
          for subset in subsets:
              subset_path = os.path.join(
                  self.output_path, subset + ".csv"
              )
              with open(subset_path, "w") as f:
                  writer = csv.writer(f)
                  writer.writerows(subsets[subset])
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/scenarios/the_pile_scenario.py
imports: import os
  import json
  import csv
  import sys
  import requests
  from typing import List
  from helm.common.general import ensure_file_downloaded
  from helm.common.hierarchical_logger import hlog, htrack, htrack_block
  from .scenario import Scenario, Instance, TEST_SPLIT, Input
label_desc: Use image node_id 2 for calling the ThePileScenario obj's underlying member method code with example usage: obj.load_and_cache_all_subsets() without return types