Upload dataset_infos.json

dataset_infos.json

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+{"plain_text": {"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": {"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"}}, "post_processed": null, "supervised_keys": {"input": "img", "output": "label"}, "task_templates": [{"task": "image-classification", "image_column": "img", "label_column": "label", "labels": ["airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"]}], "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": 113854600, "num_examples": 50000, "dataset_name": "cifar10"}, "test": {"name": "test", "num_bytes": 22772838, "num_examples": 10000, "dataset_name": "cifar10"}}, "download_checksums": {"https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz": {"num_bytes": 170498071, "checksum": "6d958be074577803d12ecdefd02955f39262c83c16fe9348329d7fe0b5c001ce"}}, "download_size": 170498071, "post_processing_size": null, "dataset_size": 136627438, "size_in_bytes": 307125509}}