{
  "citation": "@inproceedings{wei2022learning,\n  title={Human uncertainty makes classification more robust},\n  author={Joshua C. Peterson and Ruairidh M. Battleday and Thomas L. Griffiths\n  and Olga Russakovsky},\n  booktitle={IEEE International Conference on Computer Vision and Pattern\n  Recognition (CVPR)},\n  year={2019}\n}",
  "description": "A re-labeled version of CIFAR-10's test set with soft-labels\ncoming from real human annotators. For every pair (image, label) in the\noriginal CIFAR-10 test set, it provides several additional labels given by real\nhuman annotators as well as the average soft-label. The training set is\nidentical to the one of the original dataset.",
  "downloadSize": "181324731",
  "fileFormat": "tfrecord",
  "location": {
    "urls": [
      "https://github.com/jcpeterson/cifar-10h"
    ]
  },
  "moduleName": "tensorflow_datasets.image_classification.cifar10_h.cifar10_h",
  "name": "cifar10_h",
  "releaseNotes": {
    "1.0.0": "Initial release."
  },
  "splits": [
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "train",
      "numBytes": "122900776",
      "shardLengths": [
        "50000"
      ]
    },
    {
      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
      "name": "test",
      "numBytes": "28981347",
      "shardLengths": [
        "10000"
      ]
    }
  ],
  "version": "1.0.0"
}