mnist-sample / dataset_infos.json
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{"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
}}