cifar10

ds = tfds.load('huggingface:cifar10/plain_text')

The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images
per class. There are 50000 training images and 10000 test images.

{
    "img": {
        "id": null,
        "_type": "Image"
    },
    "label": {
        "num_classes": 10,
        "names": [
            "airplane",
            "automobile",
            "bird",
            "cat",
            "deer",
            "dog",
            "frog",
            "horse",
            "ship",
            "truck"
        ],
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"
    }
}