code: def create_dict(key_row, val_row, rows):
      return {row[key_row]: row[val_row] for row in rows}
  
imports: import json
  import pathlib
  import zipfile
  import numpy
  from tinygrad.helpers import fetch
  import pycocotools._mask
  from examples.mask_rcnn import Masker
  from pycocotools.coco import COCO
  from pycocotools.cocoeval import COCOeval
label_desc: Use image node_id 1 for calling a global function with example usage: create_dict(key_row, val_row, rows) and returns: unknown