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For the categories 'semantic', 'instruction', 'mistranslation' and 'other' and the texts from the files, we get the following scores:
```
gitlab_semantic_addsubps
semantic: 0.974
instruction: 0.931
other: 0.732
mistranslation: 0.299
mail_semantic_vmovdqu
mistranslation: 0.648
instruction: 0.622
other: 0.589
semantic: 0.463
mail_semantic_1
instruction: 0.915
other: 0.684
semantic: 0.670
mistranslation: 0.198
mail_other_2
other: 0.952
instruction: 0.939
semantic: 0.879
mistranslation: 0.862
mail_other_3
other: 0.919
instruction: 0.680
mistranslation: 0.679
semantic: 0.662
mail_semantic_2
semantic: 0.997
instruction: 0.974
mistranslation: 0.637
other: 0.177
gitlab_semantic_bzhi
semantic: 0.920
instruction: 0.623
mistranslation: 0.171
other: 0.064
gitlab_semantic_bextr
semantic: 0.993
instruction: 0.944
mistranslation: 0.337
other: 0.099
gitlab_semantic_blsi
semantic: 0.983
instruction: 0.964
other: 0.609
mistranslation: 0.606
gitlab_semantic_adox
semantic: 0.990
instruction: 0.944
mistranslation: 0.452
other: 0.286
gitlab_semantic_blsmsk
semantic: 0.987
instruction: 0.962
mistranslation: 0.603
other: 0.269
mail_other_1
other: 0.927
semantic: 0.916
instruction: 0.910
mistranslation: 0.870
```
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