code: def _parse_benchmark_group(row):
      parts = row["group"].split(",")
      if len(parts) > 1:
          suite, name = parts[0], ",".join(parts[1:])
      else:
          suite, name = row["group"], row["group"]
      return suite.strip(), name.strip()
  
file_path: arrow-datafusion/conbench/_criterion.py
imports: import collections
  import csv
  import os
  import pathlib
  import subprocess
  import conbench.runner
  from conbench.machine_info import github_info
label_desc: Use image node_id 2 for calling a global function with example usage: _parse_benchmark_group(row) and returns: suite,  name