idx
int64
split
string
label
int64
pred
int64
correct
int64
entropy
float64
seq_len
int64
logit0
float64
prob0
float64
logit1
float64
prob1
float64
0
train
0
0
1
0.603648
14
0.535391
0.708321
-0.351852
0.291679
1
train
1
1
1
0.198742
7
-1.538761
0.050077
1.404057
0.949923
2
train
1
0
0
0.691298
22
0.078467
0.530399
-0.043279
0.469601
3
train
1
1
1
0.17122
14
-1.628123
0.041035
1.523306
0.958965
4
train
1
1
1
0.195043
7
-1.505393
0.048826
1.46405
0.951174
5
train
1
1
1
0.19897
12
-1.53028
0.050155
1.41091
0.949845
6
train
0
0
1
0.686672
12
0.15438
0.55684
-0.073968
0.44316
7
train
1
1
1
0.692882
14
-0.023673
0.488487
0.022386
0.511513
8
train
1
1
1
0.226225
15
-1.448976
0.05973
1.307353
0.94027
9
train
0
0
1
0.590589
10
0.566318
0.722487
-0.390515
0.277513
10
train
1
1
1
0.269163
11
-1.424614
0.07611
1.071804
0.92389
11
train
1
1
1
0.197864
14
-1.534548
0.049779
1.414556
0.950221
12
train
1
1
1
0.176297
12
-1.630998
0.042657
1.479984
0.957343
13
train
1
0
0
0.654131
17
0.314938
0.638755
-0.255026
0.361245
14
train
1
1
1
0.244751
11
-1.400945
0.066599
1.2392
0.933401
15
train
0
0
1
0.593843
6
0.560746
0.719056
-0.379037
0.280944
16
train
1
1
1
0.175916
7
-1.616892
0.042534
1.497093
0.957466
17
train
1
1
1
0.19896
12
-1.538643
0.050151
1.402622
0.949849
18
train
1
1
1
0.172405
8
-1.635251
0.041412
1.506646
0.958588
19
train
1
1
1
0.297575
7
-1.189335
0.087867
1.150627
0.912133
20
train
0
1
0
0.198762
9
-1.485449
0.050084
1.457224
0.949916
21
train
0
0
1
0.664216
19
0.287538
0.619689
-0.200689
0.380311
22
train
1
1
1
0.191844
10
-1.562997
0.047753
1.429794
0.952247
23
train
1
1
1
0.174353
11
-1.598764
0.042033
1.527591
0.957967
24
train
1
1
1
0.518411
7
-0.704289
0.213388
0.600337
0.786612
25
train
1
1
1
0.513206
30
-0.738107
0.209435
0.59023
0.790565
26
train
1
1
1
0.253225
15
-1.428973
0.06984
1.160174
0.93016
27
train
1
1
1
0.301572
20
-1.316856
0.089583
1.001883
0.910417
28
train
1
0
0
0.615668
7
0.46078
0.694238
-0.359227
0.305762
29
train
0
0
1
0.602253
14
0.534452
0.709887
-0.360381
0.290113
30
train
1
1
1
0.255928
16
-1.381786
0.070887
1.191355
0.929113
31
train
0
0
1
0.596764
10
0.548262
0.715922
-0.37606
0.284078
32
train
0
0
1
0.610997
11
0.511137
0.699843
-0.335413
0.300157
33
train
1
1
1
0.162009
9
-1.630611
0.038147
1.596809
0.961853
34
train
0
1
0
0.202759
11
-1.545656
0.051449
1.368695
0.948551
35
train
1
1
1
0.493868
6
-0.745247
0.195335
0.67046
0.804665
36
train
0
0
1
0.640996
22
0.385966
0.66006
-0.277596
0.33994
37
train
1
1
1
0.17349
6
-1.61072
0.041757
1.522503
0.958243
38
train
1
1
1
0.16301
10
-1.625008
0.038457
1.593984
0.961543
39
train
0
0
1
0.596388
10
0.558978
0.716328
-0.36734
0.283672
40
train
1
1
1
0.185387
9
-1.58356
0.045612
1.457335
0.954388
41
train
0
0
1
0.605826
11
0.526075
0.70585
-0.349239
0.29415
42
train
0
0
1
0.607248
8
0.501706
0.704218
-0.365761
0.295782
43
train
1
0
0
0.61222
13
0.507333
0.698392
-0.332321
0.301608
44
train
1
1
1
0.186183
9
-1.485373
0.045874
1.54952
0.954126
45
train
0
0
1
0.596271
8
0.54101
0.716454
-0.385931
0.283546
46
train
0
1
0
0.42299
22
-0.976014
0.150162
0.757317
0.849838
47
train
1
1
1
0.162628
10
-1.660414
0.038339
1.561789
0.961661
48
train
1
1
1
0.169058
8
-1.601967
0.040351
1.566985
0.959649
49
train
1
1
1
0.270742
13
-1.375897
0.076743
1.111545
0.923257
50
train
1
1
1
0.368813
23
-1.068908
0.12095
0.914561
0.87905
51
train
1
1
1
0.17341
8
-1.633446
0.041732
1.500412
0.958268
52
train
1
1
1
0.223862
16
-1.493847
0.058875
1.277804
0.941124
53
train
1
1
1
0.218844
11
-1.478118
0.057076
1.326491
0.942924
54
train
1
1
1
0.167695
10
-1.638099
0.039922
1.541996
0.960078
55
train
0
1
0
0.266488
10
-1.297698
0.075041
1.214016
0.924959
56
train
1
1
1
0.401221
17
-1.024831
0.137948
0.807608
0.862052
57
train
1
1
1
0.247739
11
-1.37287
0.067735
1.24915
0.932265
58
train
1
1
1
0.19128
10
-1.513289
0.047564
1.483649
0.952436
59
train
0
0
1
0.596301
6
0.552881
0.716422
-0.3739
0.283578
60
train
1
1
1
0.447731
9
-0.870933
0.164915
0.751169
0.835085
61
train
0
0
1
0.680059
16
0.18502
0.580718
-0.140703
0.419282
62
train
1
1
1
0.213203
11
-1.49949
0.055078
1.342866
0.944922
63
train
0
0
1
0.60196
8
0.520633
0.710214
-0.37579
0.289786
64
train
0
0
1
0.618124
8
0.473062
0.691216
-0.33275
0.308784
65
train
0
0
1
0.678952
23
0.190104
0.584048
-0.14931
0.415952
66
train
0
0
1
0.640106
10
0.395774
0.661394
-0.273739
0.338606
67
train
1
1
1
0.235431
12
-1.435969
0.063106
1.261779
0.936894
68
train
0
0
1
0.623888
11
0.458653
0.683908
-0.313139
0.316092
69
train
0
0
1
0.60256
9
0.537733
0.709544
-0.355434
0.290457
70
train
1
1
1
0.175766
10
-1.56947
0.042486
1.545693
0.957514
71
train
1
1
1
0.163093
11
-1.628526
0.038483
1.589768
0.961517
72
train
0
0
1
0.608905
10
0.509782
0.702298
-0.348481
0.297702
73
train
0
0
1
0.668045
22
0.262533
0.61156
-0.19134
0.38844
74
train
0
0
1
0.600325
10
0.538012
0.712029
-0.367248
0.287971
75
train
1
1
1
0.226573
16
-1.511275
0.059857
1.242805
0.940143
76
train
0
0
1
0.670059
12
0.262825
0.607027
-0.172007
0.392973
77
train
1
1
1
0.34639
22
-1.125049
0.10994
0.966302
0.89006
78
train
1
1
1
0.287988
10
-1.320245
0.083814
1.071368
0.916186
79
train
1
1
1
0.175163
12
-1.650055
0.042293
1.469878
0.957708
80
train
1
1
1
0.174263
9
-1.595771
0.042005
1.531296
0.957995
81
train
1
1
1
0.238257
12
-1.443852
0.064157
1.236256
0.935843
82
train
1
1
1
0.28065
8
-1.328697
0.080772
1.103212
0.919228
83
train
1
1
1
0.199144
12
-1.538707
0.050214
1.40124
0.949786
84
train
1
1
1
0.158304
10
-1.678677
0.037004
1.580336
0.962996
85
train
1
1
1
0.224689
9
-1.409479
0.059174
1.356797
0.940826
86
train
1
1
1
0.187106
7
-1.515668
0.046179
1.512291
0.953821
87
train
1
1
1
0.196203
5
-1.529885
0.049217
1.431167
0.950783
88
train
1
1
1
0.184492
14
-1.60379
0.045318
1.443881
0.954682
89
train
1
1
1
0.161167
10
-1.658526
0.037886
1.576022
0.962114
90
train
0
0
1
0.607501
14
0.527499
0.703926
-0.338565
0.296074
91
train
1
1
1
0.181607
17
-1.598422
0.044375
1.471266
0.955625
92
train
1
1
1
0.478451
28
-0.83842
0.184703
0.646381
0.815297
93
train
0
1
0
0.676844
14
-0.21135
0.40996
0.152781
0.59004
94
train
1
1
1
0.175895
9
-1.573781
0.042527
1.540368
0.957473
95
train
1
1
1
0.167535
11
-1.614174
0.039871
1.56724
0.960129
96
train
0
1
0
0.500377
10
-0.719496
0.199981
0.666914
0.800019
97
train
1
1
1
0.176551
11
-1.618849
0.042738
1.490134
0.957262
98
train
1
1
1
0.18277
8
-1.601157
0.044754
1.459621
0.955246
99
train
1
1
1
0.237299
7
-1.363975
0.063801
1.322092
0.9362