code: def parse_csv_with_idx(fn):
      rows = {}
      tags = []
      with open(fn) as csv_file:
          csv_reader = csv.reader(csv_file, delimiter=",")
          line = 0
          for row in csv_reader:
              if line == 0:
                  tags = row
              else:
                  escaped_row = [
                      r.encode("unicode_escape").decode("utf-8")
                      for r in row
                  ]
                  row_i = {}
                  for r in range(len(escaped_row)):
                      row_i[tags[r]] = escaped_row[r]
                  rows[row_i["metadata_example_idx"]] = row_i
              line += 1
      return rows, tags
  
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 4 for calling a global function with example usage: parse_csv_with_idx(fn) and returns: rows,  tags