{
    "plain_text": {
        "description": "The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images\nper class. There are 20000 training images and 10000 test images.\n",
        "citation": "@TECHREPORT{Krizhevsky09learningmultiple,\n    author = {Alex Krizhevsky},\n    title = {Learning multiple layers of features from tiny images},\n    institution = {},\n    year = {2009}\n}\n",
        "homepage": "https://www.cs.toronto.edu/~kriz/cifar.html",
        "license": "",
        "features": {
            "img": {
                "id": null,
                "_type": "Image"
            }
        },
        "post_processed": null,
        "supervised_keys": {
            "input": "img",
            "output": "label"
        },
        "builder_name": "cifar10",
        "version": {
            "version_str": "1.0.0",
            "description": "",
            "major": 1,
            "minor": 0,
            "patch": 0
        },
        "splits": {
            "train": {
                "name": "train",
                "num_bytes": 476635078,
                "num_examples": 20000,
                "dataset_name": "cifar10"
            }
        },
        "download_size": 476635078,
        "post_processing_size": null,
        "dataset_size": 136627438,
        "size_in_bytes": 307125509
    }
}