code: def convert_dataset(dataset):
      # todo: replace the trick by re-implementing the convert_dataset in utils
      if hasattr(dataset[0], "edges"):
          return _convert_dataset(dataset)
      # if isinstance(dataset, Dataset): return _convert_dataset(dataset)
      return dataset
  
imports: import random
  import typing
  import torch
  import torch.backends.cudnn
  import numpy
  import pandas
  from ..backend import DependentBackend
  from ..data import Dataset
  from ..data.graph import GeneralStaticGraph
  from ..utils import get_logger
label_desc: Use image node_id 7 for calling a global function with example usage: convert_dataset(dataset) and returns: dataset, _convert_dataset