class_docstr: ImageNet Distribution Shift Dataset.
  
  This base class supports ImageNet out-of-distribution datasets. The class names for
  datasets are a subset of ImageNet. The `__getitem__` method projects the
  labels to the classes of ImageNet to allow zero-shot evaluation.
  
  Args:
      opts: An argparse.Namespace instance.
docstr: Return the corresponding class index from ImageNet given a class index.
code: def class_id_to_imagenet_class_id(class_id: int) -> int:
      """Return the corresponding class index from ImageNet given a class index."""
      raise NotImplementedError(
          "Subclasses should implement the mapping to imagenet class ids."
      )
  
file_path: ml-cvnets/data/datasets/classification/base_imagenet_shift_dataset.py
imports: import argparse
  from typing import Any, Dict, Tuple
  from data.datasets.classification.base_image_classification_dataset import BaseImageClassificationDataset
label_desc: Use image node_id 3 for calling the BaseImageNetShiftDataset obj's underlying member method code with example usage: obj.class_id_to_imagenet_class_id(class_id) without return types