code: def load_human(cls, dataset) -> List[Example]:
      with open(INPUT_DATA_FILES_HUMAN[dataset]) as f:
          raw = f.readlines()
  
      def parse_to_example(line):
          def normalize_SyntheticChain(s):
              return " ".join(sent_tokenize(s))
  
          def normalize_ParsedChain(s):
              return " ".join(s)
  
          jline = json.loads(line)
          r_chain = None
          # following kept in sync with `real_scorer.py`
          # We use the normalize functions as described above since baselines do not operate on steps, but we need to take
          # into account any characters that get changed when `real_scorer.py` parses things into steps.
          # Conflusingly, `real_scorer.py` uses "SyntheticChain" when it's real data...
          h_chain = normalize_SyntheticChain(jline["gpt-3"])
          context = normalize_SyntheticChain(
              jline["premise"] + " " + jline["hypothesis"]
          )
          if "gsm8k" in dataset:
              context = normalize_ParsedChain(
                  sent_tokenize(jline["premise"])
              )
              h_chain = normalize_ParsedChain(
                  split_gsm8k_gpt3_generations_to_steps(jline["gpt-3"])
              )
              r_chain = normalize_ParsedChain(
                  jline["hypothesis"]
                  .split(
                      "IGNORE THIS. Ground truth here for reference. "
                  )[1]
                  .split("\n")
              )
          if "esnli" in dataset:
              r_chain = normalize_SyntheticChain(
                  jline["explanation_1"]
                  + " "
                  + jline["explanation_2"]
                  + " "
                  + jline["explanation_3"]
              )
          return Example(context, h_chain, r_chain)
  
      return [parse_to_example(x) for x in raw]
  
file_path: ParlAI/projects/roscoe/baselines/run.py
imports: import argparse
  import glob
  import os
  from typing import Dict, List
  import pandas
  import json
  from projects.roscoe.utils import split_gsm8k_gpt3_generations_to_steps
  from projects.roscoe.synthetic_evaluation.synthetic_roscoe import SyntheticChain
  from projects.roscoe.baselines.constants import Example, UseRef, BASELINE_SCORES, INPUT_DATA_SYNTHETIC, INPUT_DATA_FILES_HUMAN, INPUT_DATA_HUMAN, ALL_DATASETS, PERTURBATIONS
  from projects.roscoe.baselines.scores import SCORES_TO_CLASS
  from nltk import sent_tokenize
label_desc: Use image node_id 1 for calling the BaselineDataLoader obj's underlying member method code with example usage: obj.load_human(cls, dataset) and returns: unknown, Example, str, str