class_docstr: `The Country211 Data Set <https://github.com/openai/CLIP/blob/main/data/country211.md>`_ from OpenAI.
  
  This dataset was built by filtering the images from the YFCC100m dataset
  that have GPS coordinate corresponding to a ISO-3166 country code. The
  dataset is balanced by sampling 150 train images, 50 validation images, and
  100 test images for each country.
  
  Args:
      root (string): Root directory of the dataset.
      split (string, optional): The dataset split, supports ``"train"`` (default), ``"valid"`` and ``"test"``.
      transform (callable, optional): A function/transform that takes in a PIL image and returns a transformed
          version. E.g, ``transforms.RandomCrop``.
      target_transform (callable, optional): A function/transform that takes in the target and transforms it.
      download (bool, optional): If True, downloads the dataset from the internet and puts it into
          ``root/country211/``. If dataset is already downloaded, it is not downloaded again.
code: def _check_exists(self) -> bool:
      return self._base_folder.exists() and self._base_folder.is_dir()
  
file_path: vision/torchvision/datasets/country211.py
imports: from pathlib import Path
  from typing import Callable, Optional
  from .folder import ImageFolder
  from .utils import download_and_extract_archive, verify_str_arg
label_desc: Use image node_id 2 for calling the Country211 obj's underlying member method code with example usage: obj._check_exists() and returns: unknown