code: def labeled_table_rows_to_dataframe(
      table_rows: List[List[str]],
  ) -> pandas.DataFrame:
      return pandas.DataFrame(
          data=[r[1:] for r in table_rows[1:]],
          index=[r[0] for r in table_rows[1:]],
          columns=table_rows[0][1:],
      )
  
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 37 for calling a global function with example usage: labeled_table_rows_to_dataframe(table_rows) and returns: pandas