class_docstr: - **homepage**: https://github.com/openai/CLIP/blob/main/data/country211.md
class_docstr_tok: ["-","*","*","homepage","*","*",":","https",":","\/\/github.com\/openai\/CLIP\/blob\/main\/data\/country211.md"]
code: def __init__(
      self,
      root: Union[str, pathlib.Path],
      *,
      split: str = "train",
      skip_integrity_check: bool = False,
  ) -> None:
      self._split = self._verify_str_arg(
          split, "split", ("train", "val", "test")
      )
      self._split_folder_name = "valid" if split == "val" else split
  
      self._categories = _info()["categories"]
  
      super().__init__(root, skip_integrity_check=skip_integrity_check)
  
file_path: vision/torchvision/prototype/datasets/_builtin/country211.py
imports: import pathlib
  from typing import Any, Dict, List, Tuple, Union
  from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper
  from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling, path_comparator, read_categories_file
  from torchvision.prototype.tv_tensors import Label
  from .._api import register_dataset, register_info
label_desc: Use image node_id 1 to create a new Country211 object from inherited base classes: Dataset with example: obj = Country211(root)