Datasets:
leukas
/
cute_results

Dataset card Viewer Files Community
1
model
stringlengths
54
96
spell
float64
0.76
1
spell_inverse
float64
0.55
1
cont_char
float64
0.24
0.9
cont_word
float64
0.52
1
orth
float64
0.42
0.91
sem
float64
0.27
0.93
ins_char
float64
0.05
0.19
del_char
float64
0.13
0.83
sub_char
float64
0.03
0.64
swap_char
float64
0.02
0.16
ins_word
float64
0.11
0.97
del_word
float64
0.35
0.98
sub_word
float64
0.31
0.98
swap_word
float64
0.04
0.98
[meta-llama/Llama-2-7b-chat-hf](https://hf.co/meta-llama/Llama-2-7b-chat-hf)
0.955
0.846
0.67
0.782
0.417
0.76
0.091
0.13
0.111
0.035
0.201
0.348
0.729
0.109
[meta-llama/Llama-2-13b-chat-hf](https://hf.co/meta-llama/Llama-2-13b-chat-hf)
0.996
0.929
0.698
0.848
0.463
0.763
0.115
0.305
0.142
0.025
0.367
0.487
0.707
0.219
[meta-llama/Llama-2-70b-chat-hf](https://hf.co/meta-llama/Llama-2-70b-chat-hf)
0.999
0.927
0.701
0.946
0.426
0.826
0.073
0.264
0.196
0.056
0.316
0.468
0.866
0.369
[mistralai/Mistral-7B-Instruct-v0.2](https://hf.co/mistralai/Mistral-7B-Instruct-v0.2)
0.87
0.911
0.615
0.942
0.553
0.847
0.048
0.342
0.21
0.028
0.113
0.538
0.7
0.159
[mistralai/Mistral-8x7B-Instruct-v0.1](https://hf.co/mistralai/Mistral-8x7B-Instruct-v0.1)
0.984
0.957
0.681
0.908
0.508
0.818
0.159
0.478
0.346
0.064
0.408
0.565
0.907
0.378
[google/gemma-7b-it](https://hf.co/google/gemma-7b-it)
0.822
0.73
0.64
0.848
0.545
0.82
0.107
0.304
0.151
0.025
0.365
0.567
0.707
0.172
[CohereForAI/aya-23-8B](https://hf.co/CohereForAI/aya-23-8B)
0.952
0.916
0.56
0.776
0.516
0.265
0.065
0.275
0.151
0.035
0.133
0.675
0.586
0.146
[CohereForAI/aya-23-35B](https://hf.co/CohereForAI/aya-23-35B)
0.996
0.986
0.236
0.993
0.494
0.926
0.11
0.45
0.306
0.036
0.599
0.71
0.85
0.411
[CohereForAI/c4ai-command-r-v01](https://hf.co/CohereForAI/c4ai-command-r-v01)
0.989
0.978
0.689
0.874
0.434
0.817
0.073
0.377
0.287
0.053
0.422
0.558
0.758
0.283
[CohereForAI/c4ai-command-r-plus](https://hf.co/CohereForAI/c4ai-command-r-plus)
1
1
0.797
0.997
0.865
0.926
0.089
0.72
0.555
0.1
0.817
0.657
0.951
0.814
[databricks/dbrx-instruct](https://hf.co/databricks/dbrx-instruct)
0.999
0.999
0.478
0.972
0.476
0.903
0.099
0.64
0.477
0.075
0.532
0.863
0.936
0.603
[meta-llama/Meta-Llama-3-8B-Instruct](https://hf.co/meta-llama/Meta-Llama-3-8B-Instruct)
0.994
0.982
0.657
0.795
0.775
0.817
0.072
0.572
0.328
0.046
0.655
0.798
0.895
0.619
[meta-llama/Meta-Llama-3-70B-Instruct](https://hf.co/meta-llama/Meta-Llama-3-70B-Instruct)
1
0.998
0.731
0.993
0.914
0.885
0.089
0.74
0.537
0.131
0.778
0.933
0.969
0.83
[meta-llama/Meta-Llama-3.1-405B-Instruct](https://hf.co/meta-llama/Meta-Llama-3.1-405B-Instruct)
1
1
0.901
0.998
0.89
0.929
0.191
0.831
0.638
0.164
0.974
0.975
0.978
0.981
[microsoft/Phi-3-mini-4k-instruct](https://hf.co/microsoft/Phi-3-mini-4k-instruct)
0.76
0.691
0.675
0.858
0.488
0.834
0.077
0.325
0.166
0.052
0.55
0.781
0.813
0.188
[meta-llama/Llama-3.2-1B-Instruct](https://hf.co/meta-llama/Llama-3.2-1B-Instruct)
0.847
0.552
0.591
0.518
0.456
0.666
0.088
0.179
0.031
0.018
0.199
0.374
0.305
0.043