--- dataset_info: - config_name: cifar10 features: - name: img dtype: image - name: label dtype: class_label: names: '0': airplane '1': automobile '2': bird '3': cat '4': deer '5': dog '6': frog '7': horse '8': ship '9': truck splits: - name: train num_bytes: 113648310 num_examples: 50000 - name: test num_bytes: 22731580 num_examples: 10000 download_size: 136965956 dataset_size: 136379890 - config_name: cifar100 features: - name: img dtype: image - name: fine_label dtype: class_label: names: '0': apple '1': aquarium_fish '2': baby '3': bear '4': beaver '5': bed '6': bee '7': beetle '8': bicycle '9': bottle '10': bowl '11': boy '12': bridge '13': bus '14': butterfly '15': camel '16': can '17': castle '18': caterpillar '19': cattle '20': chair '21': chimpanzee '22': clock '23': cloud '24': cockroach '25': couch '26': cra '27': crocodile '28': cup '29': dinosaur '30': dolphin '31': elephant '32': flatfish '33': forest '34': fox '35': girl '36': hamster '37': house '38': kangaroo '39': keyboard '40': lamp '41': lawn_mower '42': leopard '43': lion '44': lizard '45': lobster '46': man '47': maple_tree '48': motorcycle '49': mountain '50': mouse '51': mushroom '52': oak_tree '53': orange '54': orchid '55': otter '56': palm_tree '57': pear '58': pickup_truck '59': pine_tree '60': plain '61': plate '62': poppy '63': porcupine '64': possum '65': rabbit '66': raccoon '67': ray '68': road '69': rocket '70': rose '71': sea '72': seal '73': shark '74': shrew '75': skunk '76': skyscraper '77': snail '78': snake '79': spider '80': squirrel '81': streetcar '82': sunflower '83': sweet_pepper '84': table '85': tank '86': telephone '87': television '88': tiger '89': tractor '90': train '91': trout '92': tulip '93': turtle '94': wardrobe '95': whale '96': willow_tree '97': wolf '98': woman '99': worm - name: coarse_label dtype: class_label: names: '0': aquatic_mammals '1': fish '2': flowers '3': food_containers '4': fruit_and_vegetables '5': household_electrical_devices '6': household_furniture '7': insects '8': large_carnivores '9': large_man-made_outdoor_things '10': large_natural_outdoor_scenes '11': large_omnivores_and_herbivores '12': medium_mammals '13': non-insect_invertebrates '14': people '15': reptiles '16': small_mammals '17': trees '18': vehicles_1 '19': vehicles_2 splits: - name: train num_bytes: 112545106 num_examples: 50000 - name: test num_bytes: 22564261 num_examples: 10000 download_size: 135257254 dataset_size: 135109367 - config_name: fashion_mnist features: - name: image dtype: image - name: label dtype: int64 splits: - name: test num_bytes: 524624 num_examples: 1000 download_size: 521736 dataset_size: 524624 - config_name: mnist features: - name: image dtype: image - name: label dtype: int64 splits: - name: test num_bytes: 276243 num_examples: 1000 download_size: 271274 dataset_size: 276243 - config_name: stl10 features: - name: image dtype: image - name: label dtype: int64 splits: - name: test num_bytes: 17819579 num_examples: 1000 download_size: 17814825 dataset_size: 17819579 - config_name: tiny_imagenet features: - name: image dtype: image - name: label dtype: class_label: names: '0': n01443537 '1': n01629819 '2': n01641577 '3': n01644900 '4': n01698640 '5': n01742172 '6': n01768244 '7': n01770393 '8': n01774384 '9': n01774750 '10': n01784675 '11': n01882714 '12': n01910747 '13': n01917289 '14': n01944390 '15': n01950731 '16': n01983481 '17': n01984695 '18': n02002724 '19': n02056570 '20': n02058221 '21': n02074367 '22': n02094433 '23': n02099601 '24': n02099712 '25': n02106662 '26': n02113799 '27': n02123045 '28': n02123394 '29': n02124075 '30': n02125311 '31': n02129165 '32': n02132136 '33': n02165456 '34': n02226429 '35': n02231487 '36': n02233338 '37': n02236044 '38': n02268443 '39': n02279972 '40': n02281406 '41': n02321529 '42': n02364673 '43': n02395406 '44': n02403003 '45': n02410509 '46': n02415577 '47': n02423022 '48': n02437312 '49': n02480495 '50': n02481823 '51': n02486410 '52': n02504458 '53': n02509815 '54': n02666347 '55': n02669723 '56': n02699494 '57': n02769748 '58': n02788148 '59': n02791270 '60': n02793495 '61': n02795169 '62': n02802426 '63': n02808440 '64': n02814533 '65': n02814860 '66': n02815834 '67': n02823428 '68': n02837789 '69': n02841315 '70': n02843684 '71': n02883205 '72': n02892201 '73': n02909870 '74': n02917067 '75': n02927161 '76': n02948072 '77': n02950826 '78': n02963159 '79': n02977058 '80': n02988304 '81': n03014705 '82': n03026506 '83': n03042490 '84': n03085013 '85': n03089624 '86': n03100240 '87': n03126707 '88': n03160309 '89': n03179701 '90': n03201208 '91': n03255030 '92': n03355925 '93': n03373237 '94': n03388043 '95': n03393912 '96': n03400231 '97': n03404251 '98': n03424325 '99': n03444034 '100': n03447447 '101': n03544143 '102': n03584254 '103': n03599486 '104': n03617480 '105': n03637318 '106': n03649909 '107': n03662601 '108': n03670208 '109': n03706229 '110': n03733131 '111': n03763968 '112': n03770439 '113': n03796401 '114': n03814639 '115': n03837869 '116': n03838899 '117': n03854065 '118': n03891332 '119': n03902125 '120': n03930313 '121': n03937543 '122': n03970156 '123': n03977966 '124': n03980874 '125': n03983396 '126': n03992509 '127': n04008634 '128': n04023962 '129': n04070727 '130': n04074963 '131': n04099969 '132': n04118538 '133': n04133789 '134': n04146614 '135': n04149813 '136': n04179913 '137': n04251144 '138': n04254777 '139': n04259630 '140': n04265275 '141': n04275548 '142': n04285008 '143': n04311004 '144': n04328186 '145': n04356056 '146': n04366367 '147': n04371430 '148': n04376876 '149': n04398044 '150': n04399382 '151': n04417672 '152': n04456115 '153': n04465666 '154': n04486054 '155': n04487081 '156': n04501370 '157': n04507155 '158': n04532106 '159': n04532670 '160': n04540053 '161': n04560804 '162': n04562935 '163': n04596742 '164': n04598010 '165': n06596364 '166': n07056680 '167': n07583066 '168': n07614500 '169': n07615774 '170': n07646821 '171': n07647870 '172': n07657664 '173': n07695742 '174': n07711569 '175': n07715103 '176': n07720875 '177': n07749582 '178': n07753592 '179': n07768694 '180': n07871810 '181': n07873807 '182': n07875152 '183': n07920052 '184': n07975909 '185': n08496334 '186': n08620881 '187': n08742578 '188': n09193705 '189': n09246464 '190': n09256479 '191': n09332890 '192': n09428293 '193': n12267677 '194': n12520864 '195': n13001041 '196': n13652335 '197': n13652994 '198': n13719102 '199': n14991210 splits: - name: test num_bytes: 3894514 num_examples: 2000 download_size: 3911011 dataset_size: 3894514 configs: - config_name: cifar10 data_files: - split: train path: cifar10/train-* - split: test path: cifar10/test-* - config_name: cifar100 data_files: - split: train path: cifar100/train-* - split: test path: cifar100/test-* - config_name: fashion_mnist data_files: - split: test path: fashion_mnist/test-* - config_name: mnist data_files: - split: test path: mnist/test-* - config_name: stl10 data_files: - split: test path: stl10/test-* - config_name: tiny_imagenet data_files: - split: test path: tiny_imagenet/test-* ---