{"autoevaluate--mnist-sample": { | |
"description": "The MNIST dataset consists of 70,000 28x28 black-and-white images in 10 classes (one for each digits), with 7,000\nimages per class. There are 60,000 training images and 10,000 test images.\n", | |
"citation": "@article{lecun2010mnist,\n title={MNIST handwritten digit database},\n author={LeCun, Yann and Cortes, Corinna and Burges, CJ},\n journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},\n volume={2},\n year={2010}\n}\n", | |
"homepage": "http://yann.lecun.com/exdb/mnist/", | |
"license": "", | |
"features": { | |
"image": { | |
"decode": true, | |
"id": null, | |
"_type": "Image" | |
}, | |
"label": { | |
"num_classes": 10, | |
"names": [ | |
"0", | |
"1", | |
"2", | |
"3", | |
"4", | |
"5", | |
"6", | |
"7", | |
"8", | |
"9" | |
], | |
"id": null, | |
"_type": "ClassLabel" | |
} | |
}, | |
"post_processed": null, | |
"supervised_keys": { | |
"input": "image", | |
"output": "label" | |
}, | |
"task_templates": [ | |
{ | |
"task": "image-classification", | |
"image_column": "image", | |
"label_column": "label" | |
} | |
], | |
"builder_name": "mnist", | |
"config_name": "mnist", | |
"version": { | |
"version_str": "1.0.0", | |
"description": null, | |
"major": 1, | |
"minor": 0, | |
"patch": 0 | |
}, | |
"splits": { | |
"test": { | |
"name": "test", | |
"num_bytes": 28664.32, | |
"num_examples": 100, | |
"dataset_name": "mnist-sample" | |
} | |
}, | |
"download_checksums": null, | |
"download_size": 26861, | |
"post_processing_size": null, | |
"dataset_size": 28664.32, | |
"size_in_bytes": 55525.32 | |
}} |