Datasets:
pfilonenko
/
ML_for_TwoSampleTesting

Dataset card Data Studio Files
xet
Community
1
iter
int64
0
7.65k
sample
stringclasses
1 value
H0_H1
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Hi
stringclasses
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1k
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84.2
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99.4
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1.438359
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2.071083
1.102415
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5
train
H0
H15
500
500
40
43.8
42.4
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0.981208
1.347337
1.353723
2.56514
6.927257
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1.353723
1.347337
0.074253
1.832567
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0.962788
2.423888
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5
train
H1
H15
500
500
40
42.8
41.6
0.487213
-0.690865
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1.487466
7.94868
2.058313
0.487213
0.690865
0.047084
0.003881
0.122006
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0.533844
0.617339
0.715944
5
train
H0
H15
1,000
1,000
40
39.8
39.7
0.756952
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0.624932
0.680421
0.599168
0.756952
0.782113
0.421034
0.448101
0.62444
0.611753
0.114885
0.114953
0.804628
5
train
H1
H15
1,000
1,000
40
38.6
41.3
1.080205
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1.427183
1.807932
1.570879
1.080205
1.092367
0.259812
0.695611
0.929822
1.193613
0.038276
0.0424
1.126835
5
train
H0
H15
20
20
50
65
45
-1.650352
1.696689
1.445089
1.444862
3.69976
4.387006
3.740113
1.444862
1.696689
0.080113
2.087626
2.530528
2.892149
0.297412
0.293671
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5
train
H1
H15
20
20
50
55
60
1.184763
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4.670101
4.681438
4.668236
1.184763
1.543837
0.096896
0.686187
1.637224
2.388676
0.111438
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1.61326
5
train
H0
H15
30
30
50
46.666667
53.333333
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0.642766
0.232422
0.232293
1.748204
2.135755
1.688843
0.232293
0.642766
0.429806
0.05396
0.233771
0.413781
0.192973
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5
train
H1
H15
30
30
50
53.333333
46.666667
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0.136873
0.343085
0.343547
0.735567
2.131868
0.669421
0.343547
0.343085
0.545493
0.118025
0.039502
0.018655
0.634069
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5
train
H0
H15
50
50
50
46
54
1.098651
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1.516773
2.799647
1.446519
1.098651
1.165996
0.228706
0.906426
1.286499
1.360253
0.111432
0.150277
1.2037
5
train
H1
H15
50
50
50
52
56
0.729107
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1.000935
1.077843
1.034151
0.729107
0.877884
0.351172
0.2747
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0.774319
0.032096
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5
train
H0
H15
75
75
50
37.333333
48
2.009616
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4.111009
4.362242
4.05712
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2.006361
0.039565
3.608541
4.119525
4.036686
1.372776
1.5498
2.05826
5
train
H1
H15
75
75
50
52
52
-0.20372
0.085222
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0.297361
0.178285
1.797407
0.214743
0.297361
0.297596
0.615499
0.088424
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0.007254
0.29136
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5
train
H0
H15
100
100
50
53
49
-0.587664
0.500961
0.626462
0.625353
0.40087
0.429803
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0.625353
0.626462
0.600834
0.391066
0.303147
0.250709
0.441581
0.456089
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5
train
H1
H15
100
100
50
44
51
0.135382
0.056109
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1.193308
1.282986
1.208189
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0.408292
0.546569
0.16554
0.018546
0.003147
0.699823
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5
train
H0
H15
150
150
50
51.333333
50.666667
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0.978312
0.076182
0.076336
5.576686
5.741787
5.521738
0.076336
0.978312
0.063237
0.005827
0.390213
0.957268
1.595618
1.594071
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5
train
H1
H15
150
150
50
54
41.333333
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0.461791
1.339859
1.343662
4.049006
6.517841
4.384498
1.343662
1.339859
0.088962
1.805429
0.813803
0.21319
4.213188
4.254296
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5
train
H0
H15
200
200
50
48
50
0.022807
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0.14582
0.145898
0.439581
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0.455326
0.022807
0.14582
0.796393
0.021286
0.000227
0.014794
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5
train
H1
H15
200
200
50
54
49
0.096421
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0.247521
1.542419
1.508736
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0.247521
0.247969
0.472056
0.061266
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0.055829
0.897009
0.848827
0.246141
5
train
H0
H15
300
300
50
42.333333
51.333333
1.804796
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3.558274
4.173155
3.552101
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1.885766
0.08359
3.549681
3.100248
2.799041
2.460093
2.469201
1.730224
5
train
H1
H15
300
300
50
50.333333
51.333333
1.42076
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2.901895
8.495011
3.2516
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1.594607
0.036816
1.210466
1.783882
2.546737
0.012758
0.009819
1.659848
5
train
H0
H15
500
500
50
50.6
50
-0.00616
0.011558
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0.078005
0.443445
0.097448
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0.072755
0.931128
0.005287
0.002142
0.000134
0.03607
0.035909
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5
train
H1
H15
500
500
50
49.6
50
1.643823
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9.79443
13.615271
10.610302
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2.073453
0.003478
0.731087
2.439595
4.305363
0.959893
0.960004
2.160306
5
train
H0
H15
1,000
1,000
50
49.6
47.4
-1.780637
1.872089
1.482854
1.483231
4.03908
4.075474
3.993592
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1.872089
0.052981
2.199975
3.152856
3.505629
0.252761
0.264123
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5
train
H1
H15
1,000
1,000
50
47.7
51
3.615354
-3.816776
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15.738288
18.270922
16.372062
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3.816776
0.00007
9.093
12.244353
14.58768
1.167265
1.201639
3.977184
5
train
H0
H16
20
20
0
0
0
-0.405751
0.405751
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1.017232
0.982615
1.082481
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0.405751
0.582026
0.008942
0.041832
0.163577
0.305476
0.256028
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5
train
H1
H16
20
20
0
0
0
-0.459852
0.459852
0.741308
0.737429
0.953076
2.50264
0.7557
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0.741308
0.474814
0.543802
0.281634
0.20961
0.951658
0.811394
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5
train
H0
H16
30
30
0
0
0
0.665299
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0.885879
6.322884
0.687046
0.665299
0.814365
0.096915
0.666249
0.416343
0.441441
0.546018
0.405991
0.670914
5
train
H1
H16
30
30
0
0
0
0.650515
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0.422142
0.914093
0.430304
0.650515
0.650515
0.511821
0.280276
0.400458
0.422546
0.048235
0.03578
0.656004
5
train
H0
H16
50
50
0
0
0
-2.647227
2.647227
2.234274
2.292541
8.061831
9.6398
7.175051
-2.647227
2.647227
0.007801
5.255742
7.303513
7.157885
1.000351
1.433551
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5
train
H1
H16
50
50
0
0
0
0.041363
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-0.353304
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0.240491
0.186494
0.415933
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0.353304
0.812234
0.122454
0.059672
0.001713
0.32222
0.313475
0.041571
5
train
H0
H16
75
75
0
0
0
1.960177
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4.042178
5.278963
4.152702
1.960177
1.966483
0.05075
3.945394
3.975838
3.86066
2.133382
2.064742
1.953588
5
train
H1
H16
75
75
0
0
0
0.603276
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0.988404
3.327926
1.155919
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0.954666
0.343775
0.913238
0.64968
0.363307
1.083353
1.277737
0.601248
5
train
H0
H16
100
100
0
0
0
-1.03844
1.03844
0.888797
0.884905
1.125073
1.273498
1.079311
0.884905
1.03844
0.297854
0.783058
1.062069
1.077691
0.2542
0.248924
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5
train
H1
H16
100
100
0
0
0
1.172827
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1.709956
2.538496
1.712584
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1.303792
0.239687
1.709172
1.601691
1.376095
1.178628
1.105835
1.17577
5
train
H0
H16
150
150
0
0
0
-0.592347
0.592347
1.033632
1.034657
1.139086
2.034922
1.470333
1.034657
1.033632
0.479426
1.070515
0.794393
0.350923
1.465981
1.513075
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5
train
H1
H16
150
150
0
0
0
-0.33411
0.33411
-0.712076
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3.077841
4.373263
4.30335
-0.33411
0.712076
0.116289
0.506898
0.022608
0.111695
2.57195
2.609092
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5
train
H0
H16
200
200
0
0
0
0.714444
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3.369576
3.230146
3.494023
-1.464482
1.458757
0.174294
2.144709
1.097563
0.510555
3.337603
3.29818
0.715339
5
train
H1
H16
200
200
0
0
0
-0.938465
0.938465
0.441039
0.441124
2.192061
3.919814
1.468259
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0.938465
0.270254
0.194591
0.741598
0.880635
0.038809
0.018399
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5
train
H0
H16
300
300
0
0
0
-1.084741
1.084741
0.331971
0.331114
1.827185
3.919004
2.683465
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1.084741
0.261392
0.109637
0.584919
1.176961
0.277258
0.310263
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5
train
H1
H16
300
300
0
0
0
1.519485
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3.980718
11.067829
4.135318
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1.9747
0.011365
3.947781
3.650313
2.311626
3.818207
4.126812
1.520753
5
train
H0
H16
500
500
0
0
0
0.872634
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0.972069
1.033394
0.956193
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0.977738
0.382625
0.953568
0.914615
0.761355
0.652671
0.646693
0.87307
5
train
H1
H16
500
500
0
0
0
-1.973663
1.973663
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16.171527
15.752403
18.754314
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1.973663
0.000085
0.030608
1.259227
3.902646
5.764509
5.69287
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5
train
H0
H16
1,000
1,000
0
0
0
0.493837
-0.493837
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6.031879
7.936595
4.726161
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1.468433
0.04734
2.170348
0.589834
0.243851
4.286229
4.203029
0.49396
5
train
H1
H16
1,000
1,000
0
0
0
0.015643
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7.953255
7.713856
8.453508
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1.448254
0.0146
2.107105
0.342676
0.000245
6.325746
6.281154
0.015647