mnist
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References:
mnist
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:mnist/mnist')
The MNIST dataset consists of 70,000 28x28 black-and-white images in 10 classes (one for each digits), with 7,000
images per class. There are 60,000 training images and 10,000 test images.
- License: No known license
- Version: 1.0.0
- Splits:
Split |
Examples |
'test' |
10000 |
'train' |
60000 |
{
"image": {
"id": null,
"_type": "Image"
},
"label": {
"num_classes": 10,
"names": [
"0",
"1",
"2",
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"4",
"5",
"6",
"7",
"8",
"9"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}
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Last updated 2022-06-28 UTC.
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},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
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[{
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},{
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"id": "otherUp",
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}]
{"lastModified": "Last updated 2022-06-28 UTC."}
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