Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
28
28
target
class label
10 classes
evaluation_predictions
sequencelengths
10
10
77
[ 0.60986328125, 0.47802734375, -0.2174072265625, -1.3134765625, 0.662109375, 1.560546875, -3.357421875, 5.2265625, -0.368408203125, 1.99609375 ]
77
[ -1.408203125, 7.3125, -0.21630859375, -2.484375, -2.4921875, 0.27587890625, -0.6064453125, 5.125, -2.099609375, 0.900390625 ]
55
[ -0.71875, -1.986328125, 0.11212158203125, 3.65625, -4.1875, 10.0703125, -2.6015625, 1.9599609375, -2.083984375, -2.126953125 ]
55
[ 1.70703125, -4.3984375, -0.50830078125, 2.822265625, -3.84375, 8.671875, -1.46484375, -0.366943359375, -1.85546875, 0.09808349609375 ]
55
[ -0.54296875, -4.2578125, 1.05078125, -0.10888671875, -5.1640625, 10.7734375, 1.0927734375, -1.6806640625, -1.73046875, -0.8046875 ]
88
[ -2.712890625, -2.806640625, 1.2431640625, 4.01953125, -3.962890625, -2.419921875, -1.9189453125, -4.01171875, 12.09375, 0.27197265625 ]
66
[ 1.8447265625, -2.05859375, 2.013671875, -4.109375, -1.28125, -0.3974609375, 11.171875, -4.3515625, -0.7568359375, -2.693359375 ]
55
[ -2.578125, -2.326171875, 2.4765625, 7.84765625, -5.05859375, 6.01171875, 1.166015625, -4.13671875, 0.8916015625, -2.345703125 ]
77
[ -2.9453125, 3.154296875, -0.52880859375, -1.359375, -0.1563720703125, 0.332275390625, -4.6953125, 9.640625, -2.638671875, 2.4140625 ]
66
[ 2.779296875, -1.734375, 1.6044921875, -3.958984375, 2.28125, -0.60400390625, 9.9375, -5.1484375, 0.0635986328125, -4.609375 ]
99
[ 1.455078125, -1, -2.673828125, -3.095703125, 1.681640625, -1.0693359375, -2.759765625, -0.7890625, -1.8193359375, 9.90625 ]
55
[ -0.619140625, -1.6796875, 1.7998046875, 2.7734375, -4.2734375, 8.0078125, 0.1207275390625, -0.350341796875, -2.603515625, -0.475341796875 ]
44
[ -3.015625, 1.6123046875, 0.310302734375, -1.0205078125, 7.60546875, -2.1953125, -2.06640625, 0.74072265625, -1.2451171875, 0.5625 ]
99
[ -1.8310546875, -1.228515625, -0.66650390625, -3.796875, 2.984375, -2.19921875, -2.138671875, 1.48046875, -0.280029296875, 10.5546875 ]
44
[ -2.41796875, 0.36962890625, -1.1298828125, -3.369140625, 11.4375, -1.275390625, -1.15625, 0.587890625, -0.08154296875, 1.2451171875 ]
00
[ 10.515625, -0.8544921875, -0.759765625, -2.662109375, -2.376953125, -1.0751953125, 1.9208984375, -0.59912109375, -1.453125, 0.475830078125 ]
11
[ -1.8115234375, 10.875, -2.046875, -4.6015625, 0.62353515625, -2.78515625, 0.6845703125, 1.1875, -1.14453125, 0.416259765625 ]
33
[ -1.8583984375, -3.69140625, -0.51025390625, 9.09375, -5.66796875, 7.421875, -1.6455078125, -1.982421875, 1.5732421875, -1.04296875 ]
11
[ -1.66796875, 11.125, -2.119140625, -3.6953125, 1.2080078125, -3.07421875, 0.43310546875, 1.0732421875, -0.7880859375, 1.1220703125 ]
00
[ 11.34375, -0.89599609375, -0.18701171875, -3.369140625, -2.98046875, -0.693359375, 0.92822265625, -0.88916015625, -1.6376953125, 0.1580810546875 ]
66
[ 1.421875, -2.421875, 2.8671875, -3.25, -0.011688232421875, -0.52294921875, 10.9609375, -5.20703125, -0.6044921875, -4.25 ]
33
[ 1.1787109375, -3.6015625, 1.0830078125, 6.0625, -4.23828125, 8.578125, -2.349609375, 0.446044921875, -1.763671875, -2.423828125 ]
99
[ 3.05078125, -2.22265625, 0.65966796875, -3.712890625, 0.057586669921875, -1.078125, -2.6484375, 0.483642578125, -1.0322265625, 9.484375 ]
22
[ -3.224609375, -2.501953125, 10.140625, -1.4716796875, -0.8935546875, -2.603515625, 2.607421875, -2.8125, 1.75, -1.876953125 ]
33
[ -2.9296875, -2.169921875, 2.158203125, 9.9921875, -5.16796875, 4.11328125, 0.032318115234375, -4.9296875, 2.90625, -3.328125 ]
11
[ -2.390625, 10.59375, -1.2783203125, -5.02734375, 0.73681640625, -3.662109375, 0.87548828125, 2.447265625, -2.25, 0.415283203125 ]
66
[ 0.96142578125, -1.705078125, 2.224609375, -4.60546875, 0.86328125, -0.5673828125, 11.0859375, -4.83203125, -0.8779296875, -3.349609375 ]
77
[ -1.40625, 1.119140625, -0.01023101806640625, -2.20703125, -0.64013671875, 2.76171875, -3.9765625, 10.5390625, -2.30078125, 0.469970703125 ]
66
[ -3.109375, -3.21875, 3.46484375, -0.8115234375, -1.09375, -0.7314453125, 4.12890625, -3.947265625, 7.375, -3.830078125 ]
88
[ -4.171875, -2.779296875, 0.95849609375, 0.1746826171875, -0.8681640625, -2.078125, -1.5380859375, -1.2744140625, 10.4921875, -1.3662109375 ]
66
[ -1.693359375, -3.5859375, 4.70703125, -2.591796875, -0.331298828125, -0.18359375, 8.9296875, -4.84375, 1.126953125, -3.2265625 ]
88
[ -4.02734375, -3.744140625, 2.888671875, -1.166015625, -0.9521484375, -2.072265625, 0.56640625, -2.158203125, 10.1484375, -1.0400390625 ]
00
[ 10.796875, -0.96044921875, -1.0546875, -3.12890625, -1.9296875, -1.18359375, 2.693359375, -1.4677734375, -0.8544921875, 0.65380859375 ]
99
[ 0.139404296875, -0.57421875, -1.984375, -3.4296875, 2.447265625, -1.71875, -4.03125, -0.444091796875, -0.227783203125, 11.6171875 ]
99
[ -2.09375, 0.385986328125, -1.6982421875, -2.62890625, 1.7607421875, -1.6396484375, -3.41796875, 2.048828125, -1.50390625, 10.6171875 ]
11
[ -1.2900390625, 10.5078125, -1.546875, -3.92578125, 0.3740234375, -2.71875, 0.74609375, 1.3896484375, -1.544921875, 0.1854248046875 ]
77
[ -2.4609375, 1.6708984375, 1.314453125, 0.62109375, -2.21484375, 3.185546875, -3.564453125, 9.5, -1.505859375, 0.556640625 ]
88
[ -1.953125, -2.0234375, 0.50439453125, 0.95068359375, -1.9365234375, -0.54052734375, -1.5673828125, -3.361328125, 9.5546875, 1.2919921875 ]
33
[ 1.291015625, -0.46728515625, 3.857421875, 7.41796875, -3.47265625, 4.15625, 0.50341796875, -3.203125, -3.615234375, -3.01953125 ]
99
[ 1.0322265625, -1.8076171875, -2.076171875, -2.419921875, 2.234375, -1.451171875, -1.8984375, -1.8349609375, 1.4580078125, 8.9609375 ]
66
[ 1.744140625, -2.8515625, 1.0908203125, -3.8671875, -2.296875, 2.09375, 10.4453125, -4.71875, 0.1964111328125, -2.2421875 ]
11
[ -2.037109375, 10.34375, -1.0673828125, -3.8984375, 0.183349609375, -3.408203125, 0.34912109375, 1.693359375, -1.5029296875, 0.07843017578125 ]
66
[ 0.3359375, -2.84765625, 2.814453125, -3.2265625, -1.6015625, 0.18359375, 11.8125, -4.00390625, -0.9267578125, -3.154296875 ]
88
[ -2.916015625, -3.005859375, 0.8740234375, 2.560546875, -3.0078125, -2.845703125, -2.18359375, -2.376953125, 11.96875, 1.2177734375 ]
11
[ -2.345703125, 10.5234375, -1.46484375, -4.6796875, 0.74169921875, -3.1953125, 1.048828125, 1.9052734375, -1.7109375, -0.03521728515625 ]
33
[ -2.220703125, -0.1700439453125, 2.267578125, 11.9375, -4.21875, 5.16015625, -1.83203125, -2.390625, 0.2147216796875, -3.318359375 ]
00
[ 11.171875, -0.83056640625, 0.1297607421875, -2.220703125, -3.958984375, -0.313720703125, 2.443359375, 0.5244140625, -1.63671875, -1.330078125 ]
00
[ 10.2734375, -1.580078125, -0.305908203125, -1.193359375, -3.435546875, -0.50732421875, 1.5498046875, -0.884765625, -0.97607421875, 0.61474609375 ]
55
[ -0.60888671875, -0.4970703125, -0.230712890625, 8.2734375, -4.05859375, 9.6796875, -2.171875, -0.1405029296875, -2.359375, -3.1328125 ]
00
[ 6.73828125, -1.5390625, 1.9482421875, -4.9296875, -4.46875, -0.1854248046875, 1.3427734375, -0.62255859375, 0.435302734375, 1.98828125 ]
44
[ -3.638671875, -0.01959228515625, -0.86181640625, -3.287109375, 10.9609375, -1.3857421875, -1.9521484375, 2.6640625, 1.20703125, -0.424560546875 ]
77
[ -1.3935546875, 2.359375, 1.337890625, -1.4814453125, -1.3701171875, 2.8203125, -4.69921875, 9.9921875, -2.95703125, 1.37109375 ]
22
[ 1.279296875, -3.62890625, 8.640625, -1.083984375, -3.734375, -0.420654296875, 1.9248046875, -1.0966796875, 2.837890625, -1.55078125 ]
55
[ -0.2108154296875, -3.318359375, 1.4677734375, 5.9453125, -5.5, 9.3203125, -1.5634765625, -1.0947265625, -1.5625, -0.30126953125 ]
99
[ -2.45703125, -1.857421875, -1.583984375, -2.923828125, 2.935546875, 0.39794921875, -2.037109375, -0.423583984375, 0.2288818359375, 7.984375 ]
55
[ -0.7685546875, 1.2763671875, 1.8515625, -2.080078125, -3.548828125, 5.7890625, 0.45849609375, 2.875, -2.337890625, -0.5341796875 ]
66
[ -0.4228515625, -3.435546875, 3.185546875, -3.314453125, -1.2607421875, 0.419189453125, 10.78125, -4.3203125, -0.77783203125, -2.81640625 ]
33
[ -2.71875, -2.259765625, 1.7587890625, 12, -5.875, 4.41015625, -4.24609375, -0.1907958984375, 1.24609375, -2.05078125 ]
99
[ -2.4140625, -0.63037109375, -1.583984375, -1.5234375, 2.017578125, -2.6796875, -4.2890625, 1.298828125, 3.005859375, 9.859375 ]
11
[ -1.7744140625, 11.1796875, -1.4287109375, -4.2578125, 0.82568359375, -3.755859375, 0.904296875, 1.6201171875, -1.39453125, 0.54736328125 ]
44
[ -3.109375, 1.10546875, -1.892578125, -3.751953125, 11.46875, -1.2578125, -2.29296875, 2.0625, -0.77490234375, 1.8037109375 ]
66
[ 1.0087890625, -3.85546875, 2.80078125, -3.853515625, -2.732421875, 0.62109375, 11.0234375, -3.578125, -0.471923828125, -2.4296875 ]
22
[ -4.82421875, 0.375, 7.3203125, 3.095703125, -3.05859375, 2.8984375, 1.4306640625, -0.8427734375, -0.98583984375, -4.94921875 ]
22
[ -2.990234375, -1.5126953125, 9.8203125, 1.1142578125, -3.0859375, -0.3779296875, -0.478515625, 1.025390625, 0.0693359375, -2.62890625 ]
11
[ -2.45703125, 9.9453125, -0.363525390625, -5.2734375, 0.346435546875, -3.49609375, 0.74560546875, 3.056640625, -2.564453125, 0.146240234375 ]
33
[ -2.294921875, -2.20703125, 2.435546875, 11.8359375, -4.76953125, 4.48828125, -1.11328125, -2.9140625, 1.7138671875, -3.2578125 ]
99
[ -2.37890625, -1.0419921875, -2.265625, -2.52734375, 2.509765625, -1.8310546875, -3.912109375, 0.493896484375, 0.6513671875, 11.1875 ]
66
[ 2.818359375, -1.21484375, 0.865234375, -4.0703125, 1.5615234375, -0.419921875, 10.328125, -5.24609375, 0.314697265625, -3.955078125 ]
22
[ -3.630859375, -0.44091796875, 11.5859375, 2.033203125, -3.328125, -1.4794921875, -0.445068359375, -0.1954345703125, -0.02020263671875, -3.4453125 ]
44
[ -3.37109375, -0.6591796875, -1.5029296875, -4.18359375, 10.953125, -1.7783203125, -0.2379150390625, -0.0298004150390625, 1.8876953125, -0.325439453125 ]
55
[ -0.469970703125, -3.708984375, 2.853515625, 1.97265625, -5.2109375, 8.4921875, 3.81640625, -3.578125, -1.97265625, -0.70068359375 ]
88
[ -2.494140625, -2.9453125, 1.701171875, 1.9453125, -3.361328125, -2.98046875, -2.291015625, -2.435546875, 12.0234375, 0.8720703125 ]
00
[ 10.234375, -1.009765625, -0.75732421875, -2.20703125, -2.15234375, -0.95361328125, 2.775390625, -0.86181640625, -1.376953125, 0.30859375 ]
99
[ -3.142578125, -0.86376953125, -2.8125, -2.193359375, 3.29296875, -2.166015625, -4.7890625, 1.138671875, 0.36767578125, 11.4453125 ]
66
[ 5.49609375, -1.5908203125, 2.181640625, -3.509765625, -3.982421875, 1.314453125, 7.4609375, -2.326171875, 0.271728515625, -0.07080078125 ]
99
[ -1.884765625, -0.79345703125, -3.54296875, -2.337890625, 4.39453125, -1.6572265625, -3.880859375, -0.2802734375, -0.70703125, 11.6484375 ]
00
[ 10.8203125, -0.441162109375, 0.455078125, -3.326171875, -3.60546875, -0.9453125, 0.044891357421875, 0.69287109375, -2.125, 0.94921875 ]
77
[ -2.49609375, 1.89453125, 2.849609375, -1.634765625, -2.5625, 0.426025390625, -3.01953125, 10.5, -3.2421875, 1.154296875 ]
66
[ 0.260009765625, -2.052734375, 1.287109375, -3.224609375, -0.5068359375, 0.73046875, 10.171875, -5.16796875, 0.7939453125, -2.13671875 ]
33
[ -2.560546875, -1.3818359375, 2.314453125, 12.71875, -4.26953125, 2.517578125, -2.962890625, -2.001953125, 1.779296875, -2.79296875 ]
55
[ 2.4453125, -2.94921875, -0.54052734375, 3.017578125, -3.49609375, 7.0234375, -0.251220703125, -1.7607421875, 0.919921875, -2.919921875 ]
77
[ -1.5185546875, 0.892578125, 1.6025390625, -2.69140625, -0.634765625, 1.03125, -3.8359375, 11.0234375, -2.416015625, 1.5888671875 ]
88
[ -2.353515625, -2.236328125, 0.9228515625, 4.81640625, -4.140625, -2.134765625, -1.970703125, -3.44921875, 11.234375, -1.0517578125 ]
66
[ 1.236328125, -2.12109375, 3.2421875, -4.18359375, -1.8974609375, 0.256103515625, 10.59375, -3.03125, -2.240234375, -1.955078125 ]
11
[ -2.072265625, 10.890625, -1.4892578125, -4.0234375, 0.255859375, -3.228515625, 1.0419921875, 1.3984375, -1.6845703125, 0.059722900390625 ]
11
[ -1.9619140625, 10.484375, -1.7978515625, -3.259765625, 1.5234375, -2.599609375, -0.104248046875, 1.3349609375, -0.66748046875, 0.6884765625 ]
22
[ -3.796875, -1.48046875, 10.6328125, 3.24609375, -3.185546875, -1.0771484375, -2.8125, 1.46875, 1.0615234375, -2.931640625 ]
99
[ -4.53515625, -1.228515625, -1.9033203125, 0.5751953125, 1.9404296875, -2.62890625, -5.46484375, 2.533203125, 3.52734375, 8.578125 ]
44
[ -2.66796875, 1.36328125, -3.048828125, -2.826171875, 8.1484375, -0.85498046875, 0.289794921875, -1.98828125, -0.249267578125, 2.208984375 ]
99
[ -2.279296875, 1.65234375, -1.56640625, 1.24609375, -0.1865234375, -2.271484375, -4.25, -0.3359375, 4.93359375, 6.58984375 ]
22
[ -0.49169921875, -2.35546875, 8.546875, 1.060546875, -5.91015625, 2.0625, 0.018951416015625, -0.6259765625, -1.0224609375, -1.021484375 ]
33
[ -3.466796875, -2.09765625, 4.21875, 9.25, -5.390625, 5.48828125, -2.6875, -1.55859375, 0.0257110595703125, -2.517578125 ]
66
[ 1.6796875, -2.779296875, 2.287109375, -3.189453125, -1.1064453125, -0.1949462890625, 11.3203125, -4.2578125, -0.6376953125, -3.982421875 ]
88
[ -2.4140625, -4.01171875, 0.90380859375, 3.517578125, -3.28125, -1.7919921875, -1.3037109375, -3.822265625, 10.09375, 1.8935546875 ]
55
[ -1.66015625, -0.1746826171875, 0.1146240234375, 3.904296875, -2.8671875, 4.72265625, -4.0546875, 4.9140625, -0.796875, 0.302001953125 ]
55
[ -0.5087890625, -3.48046875, 0.381591796875, 2.513671875, -4.625, 10.6875, -0.97216796875, -0.81982421875, -1.2919921875, -2.61328125 ]
44
[ -2.806640625, 0.449462890625, -0.2052001953125, -3.376953125, 9.5703125, -1.626953125, -0.0936279296875, 0.66015625, 0.54248046875, -1.349609375 ]
00
[ 10.6796875, -0.82421875, -0.642578125, -3.142578125, -2.63671875, -1.70703125, 2.298828125, -0.6943359375, -1.603515625, 0.583984375 ]
99
[ -0.99658203125, -0.9599609375, -2.9375, -3.083984375, 3.240234375, -1.7880859375, -4.0859375, -0.396240234375, 0.26123046875, 11.7734375 ]
11
[ -1.9765625, 10.6953125, -1.5009765625, -4.1796875, 0.40771484375, -3.15625, 1.1875, 1.7265625, -1.4658203125, 0.306396484375 ]

Dataset Card for AutoTrain Evaluator

This repository contains model predictions generated by AutoTrain for the following task and dataset:

  • Task: Multi-class Image Classification
  • Model: autoevaluate/image-multi-class-classification-not-evaluated
  • Dataset: autoevaluate/mnist-sample
  • Config: autoevaluate--mnist-sample
  • Split: test

To run new evaluation jobs, visit Hugging Face's automatic model evaluator.

Contributions

Thanks to @lewtun for evaluating this model.

Downloads last month
7