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{ |
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"plain_text": { |
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"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", |
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"citation": "@TECHREPORT{Krizhevsky09learningmultiple,\n author = {Alex Krizhevsky},\n title = {Learning multiple layers of features from tiny images},\n institution = {},\n year = {2009}\n}\n", |
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"homepage": "https://www.cs.toronto.edu/~kriz/cifar.html", |
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"license": "", |
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"features": { |
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"img": { |
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"id": null, |
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"_type": "Image" |
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} |
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"supervised_keys": { |
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"input": "img", |
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"output": "label" |
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}, |
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"builder_name": "cifar10", |
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"version": { |
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"version_str": "1.0.0", |
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"description": "", |
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"major": 1, |
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"minor": 0, |
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}, |
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"splits": { |
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"train": { |
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"name": "train", |
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"num_bytes": 476635078, |
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"num_examples": 20000, |
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"dataset_name": "cifar10" |
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} |
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