dataset_infos.json

{"huggingface--image-classification-test-sample": {"description": "The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images\nper class. There are 50000 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": {"decode": true, "id": null, "_type": "Image"}, "label": {"num_classes": 10, "names": ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"], "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "img", "output": "label"}, "task_templates": [{"task": "image-classification", "image_column": "img", "label_column": "label"}], "builder_name": "cifar10", "config_name": "plain_text", "version": {"version_str": "1.0.0", "description": "", "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 22730643.0, "num_examples": 10, "dataset_name": "image-classification-test-sample"}}, "download_checksums": null, "download_size": 39945, "post_processing_size": null, "dataset_size": 22730643.0, "size_in_bytes": 22770588.0}}