class_docstr: FER 2013 Dataset
  homepage="https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge"
class_docstr_tok: ["FER","2013","Dataset","homepage=","''","https",":","\/\/www.kaggle.com\/c\/challenges-in-representation-learning-facial-expression-recognition-challenge","''"]
code: def __len__(self) -> int:
      return 28_709 if self._split == "train" else 3_589
  
file_path: vision/torchvision/prototype/datasets/_builtin/fer2013.py
imports: import pathlib
  from typing import Any, Dict, List, Union
  import torch
  from torchdata.datapipes.iter import CSVDictParser, IterDataPipe, Mapper
  from torchvision.prototype.datasets.utils import Dataset, KaggleDownloadResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import hint_sharding, hint_shuffling
  from torchvision.prototype.tv_tensors import Label
  from torchvision.tv_tensors import Image
  from .._api import register_dataset, register_info
label_desc: Use image node_id 5 for calling the FER2013 obj's underlying member method code with example usage: obj.__len__() and returns: unknown