cartoonset / 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 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
}
}