code: def parse_scorers_baseline(fn, rows):
      tsvtags = []
      newrows = {}
      with open(fn) as tsv_file:
          csv_reader = csv.reader(tsv_file, delimiter=",")
          line = 0
          for row in csv_reader:
              if line == 0:
                  tsvtags = row
              else:
                  if str(line - 1) in rows:
                      newrows[str(line - 1)] = rows[str(line - 1)]
                      for r in range(len(row)):
                          newrows[str(line - 1)][tsvtags[r]] = row[r]
              line += 1
      return newrows, tsvtags
  
imports: import argparse
  from collections import defaultdict
  import csv
  import math
  import os
  import pathlib
  from typing import Dict, Iterable, List, Optional, Set, Tuple, Union
  import pandas
  from projects.roscoe.meta_evaluation.correlations import Analyzer
  from projects.roscoe.score import ROSCOE_SA, ROSCOE_SS, ROSCOE_LI, ROSCOE_LC, SUPERVISED_SCORES, UNSUPERVISED_SCORES
  from projects.roscoe.utils import assert_all_elements_same_length, ordered_union, split_list
  from projects.roscoe.meta_evaluation.table_file_writing import ANNOTATION_COLUMN_ORDER, COLUMN_RENAMES, MODELS, ROSCOE_SECTIONS, STEP_COLUMN_RENAMES, section_rows, write_every_dataset_summary_table_tex, write_every_dataset_final_summary_table_tex, write_granular_summary_tex
label_desc: Use image node_id 5 for calling a global function with example usage: parse_scorers_baseline(fn, rows) and returns: newrows,  tsvtags