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1
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[0.0, 0.35714285714285715, 0.0, 0.0, 0.0, 0.0, 0.0, 0.07142857142857142, 0.0, 0.0, 0.5714285714285714]
train
mnist
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53,975
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1337.png
0
0
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3
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[0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
train
mnist
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53,976
[ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 ]
2351.png
0.083333
0.5
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9
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[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666, 0.3333333333333333]
train
mnist
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53,990
[ 0, 0, 0, 0, 1, 0, 0, 0, 0, 0 ]
1339.png
0.033333
0.333333
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10
[0.0, 0.0, 0.0, 0.0, 0.3333333333333333, 0.0, 0.0, 0.0, 0.0, 0.0, 0.6666666666666666]
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0]
train
mnist
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53,999
[ 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 ]
1756.png
0.02
0.2
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]
8
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0]
[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.8, 0.0, 0.2]
train
mnist