Datasets:
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Delete dataset_info.json
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dataset_info.json
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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 50000 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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"label": {
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"num_classes": 10,
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"names": [
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"airplane",
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"automobile",
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"bird",
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"cat",
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"deer",
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"dog",
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"frog",
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"horse",
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"ship",
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"truck"
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],
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"names_file": null,
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"id": null,
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"_type": "ClassLabel"
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}
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},
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"post_processed": null,
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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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"task_templates": [
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{
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"task": "image-classification",
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"image_column": "img",
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"label_column": "label",
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"labels": [
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"airplane",
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"automobile",
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"bird",
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"cat",
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"deer",
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"dog",
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"frog",
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"horse",
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"ship",
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"truck"
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]
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}
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],
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"builder_name": "cifar10",
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"config_name": "plain_text",
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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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"patch": 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": 113854600,
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"num_examples": 50000,
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"dataset_name": "cifar10"
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},
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"test": {
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"name": "test",
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"num_bytes": 22772838,
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"num_examples": 10000,
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"dataset_name": "cifar10"
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}
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},
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"download_checksums": {
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"https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz": {
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"num_bytes": 170498071,
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"checksum": "6d958be074577803d12ecdefd02955f39262c83c16fe9348329d7fe0b5c001ce"
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}
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},
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"download_size": 170498071,
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"post_processing_size": null,
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"dataset_size": 136627438,
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"size_in_bytes": 307125509
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}
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}
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