code: def load_data(pathlike):
      data_d = {}
      with open(pathlike) as f:
          reader = csv.DictReader(f)
          for i, row in enumerate(reader):
              clean_row = {k: pre_process(v) for (k, v) in row.items()}
              data_d[str(pathlike) + str(i)] = clean_row
  
      return data_d
  
file_path: dedupe/benchmarks/benchmarks/common.py
imports: import csv
  import logging
  import optparse
  import re
  from dataclasses import dataclass
  from itertools import groupby
  from pathlib import Path
label_desc: Use image node_id 2 for calling a global function with example usage: load_data(pathlike) and returns: data_d