code: def __init__(self, dataset: Sequence[Any]) -> None:
      super().__init__()
      self.dataset = dataset
      self.range = range(len(self))
  
imports: import copy
  from typing import Any, Callable, Iterator, Optional, Sequence
  import torch
  from torch_geometric.data import Batch
  from torch_geometric.utils import from_smiles
label_desc: Use image node_id 1 to create a new DatasetAdapter object from inherited base classes: IterDataPipe with example: obj = DatasetAdapter(dataset)