# hivetrace - ru / pii (1810 rows, 1667 spans, 378 negatives)

Main metric: **missed** - gold spans no predicted character touched. Score threshold 0.5; spans without a score always count. `hidden` - gold spans every character of which is covered: touching one character counts as detection, not as hiding. `hidden` is counted over normalized predictions - a prediction is stretched to whole words before it is compared, so it is what a masker that repeats the same normalization would hide; a masker that masks the raw offsets of the model hides no more than this. Char P / R / F1 are reference only. Trivial baseline, mask everything: 0 missed, 100% hidden, char P 0.195 (80.5% of the text over-masked). `rows touched` / `chars masked` count rows the source left without annotations where a mask touched something, and the characters masked in them; that absence of annotations is not evidence that those rows hold nothing sensitive, so this is not a false-alarm rate. The exact CSVs keep the technical column names `fp_rows` and `fp_chars`.

| model | missed | missed % [95% CI] | hidden | char F1 [95% CI] | P | R | entity exact | entity overlap | typed F1 | rows touched | chars masked | dropped spans | ms/row | params | train |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pplx+cpu-int8 | **14** | 0.8% [0.4%, 1.3%] | 97.9% | 0.812 [0.799, 0.825] | 0.688 | 0.991 | 0.442 | 0.798 | 0.775 | 113/378 | 1745 | 0 | 84 | 596M |  |
| nym-small | **15** | 0.9% [0.5%, 1.4%] | 75.9% | 0.940 [0.930, 0.949] | 0.979 | 0.905 | 0.625 | 0.967 | 0.352 | 17/378 | 113 | 0 | 322 | - |  |
| nym-base | **17** | 1.0% [0.6%, 1.5%] | 74.5% | 0.947 [0.941, 0.954] | 0.978 | 0.918 | 0.614 | 0.969 | 0.359 | 13/378 | 103 | 0 | 2 | 308M |  |
| nym-base+cpu-int8 | **22** | 1.3% [0.8%, 1.8%] | 74.7% | 0.948 [0.942, 0.955] | 0.982 | 0.917 | 0.617 | 0.970 | 0.372 | 16/378 | 119 | 0 | 15 | 308M |  |
| pplx | **45** | 2.7% [2.0%, 3.5%] | 95.1% | 0.915 [0.908, 0.923] | 0.860 | 0.979 | 0.685 | 0.926 | 0.871 | 33/378 | 321 | 0 | 57 | 596M |  |
| mmbert32k | **55** | 3.3% [2.5%, 4.2%] | 74.7% | 0.938 [0.930, 0.945] | 0.975 | 0.903 | 0.633 | 0.951 | 0.483 | 21/378 | 124 | 0 | 2 | 308M |  |
| opf-ru | **83** | 5.0% [4.0%, 6.1%] | 82.0% | 0.917 [0.907, 0.927] | 0.960 | 0.877 | 0.715 | 0.932 | 0.865 | 46/378 | 471 | 0 | 140 | 1.4B |  |
| apararti | **108** | 6.5% [5.3%, 7.7%] | 89.7% | 0.922 [0.913, 0.931] | 0.896 | 0.951 | 0.695 | 0.930 | 0.850 | 29/378 | 507 | 0 | 51 | 1.4B |  |
| gliner-nvidia-ru | **108** | 6.5% [5.3%, 7.7%] | 90.6% | 0.917 [0.904, 0.930] | 0.946 | 0.889 | 0.872 | 0.914 | 0.852 | 34/378 | 248 | 0 | 23 | 445M |  |
| opf-ru-v2 | **125** | 7.5% [6.2%, 8.7%] | 86.6% | 0.946 [0.938, 0.953] | 0.963 | 0.930 | 0.817 | 0.938 | 0.924 | 15/378 | 126 | 0 | 187 | 1.4B |  |
| opf-kz-ru | **125** | 7.5% [6.3%, 8.8%] | 83.8% | 0.889 [0.879, 0.899] | 0.878 | 0.901 | 0.549 | 0.923 | 0.842 | 24/378 | 299 | 0 | 44 | 1.4B |  |
| openmed-multilingual | **130** | 7.8% [6.5%, 9.1%] | 69.8% | 0.871 [0.857, 0.884] | 0.922 | 0.824 | 0.581 | 0.877 | 0.770 | 74/378 | 602 | 0 | 125 | 1.4B |  |
| openai-base-onnx | **165** | 9.9% [8.4%, 11.4%] | 87.0% | 0.910 [0.899, 0.919] | 0.890 | 0.930 | 0.666 | 0.921 | 0.843 | 23/378 | 550 | 0 | 54 | - |  |
| openai-base | **165** | 9.9% [8.5%, 11.3%] | 86.9% | 0.909 [0.899, 0.918] | 0.889 | 0.929 | 0.665 | 0.920 | 0.842 | 23/378 | 564 | 0 | 243 | 1.4B |  |
| ru-pii-ner | **166** | 10.0% [8.4%, 11.4%] | 88.4% | 0.856 [0.829, 0.882] | 0.976 | 0.762 | 0.879 | 0.931 | 0.415 | 23/378 | 136 | 0 | 46 | 358M |  |
| traciora | **170** | 10.2% [8.8%, 11.8%] | 85.7% | 0.928 [0.919, 0.936] | 0.919 | 0.938 | 0.760 | 0.901 | 0.899 | 50/378 | 520 | 0 | 196 | 1.4B |  |
| pii-shield-onnx | **171** | 10.3% [8.7%, 11.8%] | 78.8% | 0.941 [0.933, 0.948] | 0.986 | 0.900 | 0.727 | 0.930 | 0.893 | 15/378 | 93 | 0 | 456 | - |  |
| gliner2-fastino-ru | **172** | 10.3% [8.8%, 11.8%] | 87.9% | 0.822 [0.796, 0.851] | 0.986 | 0.705 | 0.913 | 0.935 | 0.777 | 8/378 | 39 | 0 | 12 | 307M |  |
| ru-legal-ner | **193** | 11.6% [10.1%, 13.1%] | 71.7% | 0.892 [0.883, 0.901] | 0.951 | 0.840 | 0.668 | 0.898 | 0.610 | 27/378 | 226 | 0 | 1 | 29M |  |
| ru-legal-ner+cpu-int8 | **197** | 11.8% [10.3%, 13.3%] | 71.0% | 0.888 [0.878, 0.898] | 0.943 | 0.839 | 0.652 | 0.887 | 0.602 | 39/378 | 338 | 0 | 2 | 29M |  |
| nuner-zero | **198** | 11.9% [10.4%, 13.5%] | 82.7% | 0.806 [0.790, 0.823] | 0.774 | 0.840 | 0.454 | 0.802 | 0.779 | 88/378 | 835 | 0 | 6 | 449M |  |
| gliner-nvidia | **200** | 12.0% [10.5%, 13.6%] | 84.6% | 0.796 [0.778, 0.812] | 0.739 | 0.863 | 0.572 | 0.739 | 0.770 | 116/378 | 2480 | 0 | 7 | 445M |  |
| gliner2-hivetrace-omni-ru | **203** | 12.2% [10.7%, 13.8%] | 84.0% | 0.794 [0.766, 0.820] | 0.965 | 0.674 | 0.859 | 0.909 | 0.779 | 20/378 | 194 | 0 | 6 | 307M |  |
| mmbert32k+cpu-int8 | **222** | 13.3% [11.8%, 15.1%] | 51.3% | 0.825 [0.808, 0.842] | 0.967 | 0.719 | 0.439 | 0.875 | 0.362 | 30/378 | 123 | 0 | 13 | 308M |  |
| gliner-stream-pii | **230** | 13.8% [12.2%, 15.5%] | 69.4% | 0.835 [0.814, 0.855] | 0.942 | 0.750 | 0.660 | 0.850 | 0.760 | 79/378 | 382 | 0 | 21 | 677M |  |
| bardsai-eu | **241** | 14.5% [12.7%, 16.4%] | 67.1% | 0.884 [0.872, 0.894] | 0.949 | 0.827 | 0.650 | 0.888 | 0.300 | 12/378 | 103 | 0 | 242 | - |  |
| gliner-pii-edge | **267** | 16.0% [14.3%, 17.8%] | 77.6% | 0.734 [0.708, 0.760] | 0.842 | 0.651 | 0.671 | 0.791 | 0.578 | 101/378 | 895 | 0 | 14 | 45M |  |
| gliner2-vladlinv-ru | **358** | 21.5% [19.4%, 23.6%] | 76.8% | 0.816 [0.788, 0.845] | 0.991 | 0.694 | 0.843 | 0.875 | 0.809 | 5/378 | 44 | 0 | 3 | 287M |  |
| gravitee-small+cpu-int8 | **363** | 21.8% [19.8%, 23.8%] | 69.6% | 0.541 [0.523, 0.559] | 0.443 | 0.695 | 0.271 | 0.623 | 0.415 | 171/378 | 3664 | 0 | 6 | 29M |  |
| openmed-nemotron | **378** | 22.7% [20.7%, 24.7%] | 53.3% | 0.773 [0.755, 0.788] | 0.761 | 0.785 | 0.407 | 0.686 | 0.640 | 123/378 | 1512 | 0 | 130 | 1.4B |  |
| gliner-urchade-ru | **382** | 22.9% [20.9%, 25.0%] | 76.1% | 0.770 [0.744, 0.799] | 0.965 | 0.641 | 0.830 | 0.850 | 0.770 | 19/378 | 192 | 0 | 5 | 289M |  |
| gravitee-small | **392** | 23.5% [21.6%, 25.4%] | 67.5% | 0.567 [0.548, 0.585] | 0.484 | 0.684 | 0.281 | 0.640 | 0.442 | 131/378 | 2624 | 0 | 2 | 29M |  |
| presidio-ru | **400** | 24.0% [22.0%, 26.1%] | 67.2% | 0.753 [0.726, 0.777] | 0.943 | 0.626 | 0.648 | 0.810 | 0.658 | 30/378 | 180 | 0 | 26 | - |  |
| gliner25-fastino-ru | **420** | 25.2% [23.2%, 27.3%] | 72.2% | 0.770 [0.741, 0.795] | 0.965 | 0.640 | 0.759 | 0.843 | 0.765 | 10/378 | 87 | 0 | 4 | 287M |  |
| gliner2-fastino | **451** | 27.1% [24.9%, 29.2%] | 71.7% | 0.732 [0.707, 0.759] | 0.927 | 0.605 | 0.763 | 0.803 | 0.685 | 46/378 | 379 | 0 | 4 | 307M |  |
| kalyan-ettin | **454** | 27.2% [25.0%, 29.5%] | 51.4% | 0.795 [0.776, 0.813] | 0.936 | 0.690 | 0.483 | 0.786 | 0.604 | 44/378 | 352 | 0 | 3 | 68M |  |
| gliner2-hivetrace-uni | **468** | 28.1% [25.9%, 30.2%] | 69.0% | 0.683 [0.655, 0.713] | 0.943 | 0.535 | 0.760 | 0.803 | 0.575 | 25/378 | 169 | 0 | 12 | 147M |  |
| gliner-urchade | **480** | 28.8% [26.6%, 31.1%] | 70.3% | 0.725 [0.698, 0.750] | 0.839 | 0.638 | 0.632 | 0.733 | 0.717 | 66/378 | 731 | 0 | 3 | 289M |  |
| gliner2-vladlinv | **487** | 29.2% [26.8%, 31.8%] | 68.9% | 0.777 [0.748, 0.805] | 0.987 | 0.640 | 0.781 | 0.823 | 0.766 | 8/378 | 57 | 0 | 4 | 287M |  |
| gliner2-hivetrace-omni | **523** | 31.4% [29.0%, 33.7%] | 65.9% | 0.743 [0.714, 0.771] | 0.957 | 0.607 | 0.749 | 0.787 | 0.723 | 18/378 | 140 | 0 | 3 | 307M |  |
| fef2-secret-ru | **537** | 32.2% [30.0%, 34.5%] | 56.4% | 0.765 [0.742, 0.784] | 0.915 | 0.657 | 0.486 | 0.758 | 0.195 | 7/378 | 74 | 0 | 2 | 177M |  |
| gliner2-large | **551** | 33.1% [30.6%, 35.4%] | 59.2% | 0.648 [0.623, 0.675] | 0.788 | 0.550 | 0.511 | 0.669 | 0.593 | 126/378 | 1104 | 0 | 4 | 486M |  |
| rules-ru | **595** | 35.7% [33.6%, 37.9%] | 64.3% | 0.732 [0.704, 0.756] | 0.995 | 0.579 | 0.780 | 0.780 | 0.732 | 0/378 | 0 | 0 | 0 | - |  |
| fef2-secret-ru+cpu-int8 | **690** | 41.4% [39.1%, 43.8%] | 46.5% | 0.701 [0.676, 0.725] | 0.912 | 0.569 | 0.427 | 0.688 | 0.197 | 9/378 | 67 | 0 | 11 | 177M |  |
| gliner25-fastino | **697** | 41.8% [39.2%, 44.4%] | 55.8% | 0.687 [0.656, 0.715] | 0.909 | 0.551 | 0.625 | 0.695 | 0.665 | 43/378 | 378 | 0 | 4 | 287M |  |
| gliner-multi-v21-ru | **738** | 44.3% [42.0%, 46.5%] | 41.6% | 0.568 [0.544, 0.595] | 0.803 | 0.440 | 0.314 | 0.607 | 0.522 | 29/378 | 352 | 0 | 6 | 289M |  |
| gliner-multi-v21 | **799** | 47.9% [45.6%, 50.5%] | 37.9% | 0.535 [0.509, 0.562] | 0.757 | 0.414 | 0.318 | 0.569 | 0.456 | 63/378 | 1005 | 0 | 3 | 289M |  |
| kalyan-ettin+cpu-int8 | **843** | 50.6% [47.8%, 53.2%] | 32.0% | 0.648 [0.616, 0.677] | 0.947 | 0.492 | 0.366 | 0.611 | 0.459 | 44/378 | 248 | 0 | 34 | 68M |  |
| gliner-pii-edge+cpu-int8 | **938** | 56.3% [53.8%, 58.7%] | 33.5% | 0.445 [0.418, 0.474] | 0.953 | 0.291 | 0.448 | 0.595 | 0.348 | 19/378 | 142 | 0 | 49 | 45M |  |
| gliner-pii-base | **954** | 57.2% [54.9%, 59.6%] | 41.0% | 0.585 [0.558, 0.611] | 0.928 | 0.427 | 0.521 | 0.568 | 0.580 | 39/378 | 278 | 0 | 2 | 166M |  |
| ner-ru-yqelz | **1037** | 62.2% [60.0%, 64.4%] | 26.9% | 0.422 [0.397, 0.447] | 0.591 | 0.329 | 0.222 | 0.423 | 0.134 | 144/378 | 1972 | 0 | 2 | 559M |  |
| stanza-ru | **1138** | 68.3% [66.1%, 70.5%] | 23.0% | 0.403 [0.375, 0.432] | 0.686 | 0.286 | 0.192 | 0.392 | 0.142 | 46/378 | 609 | 0 | 20 | - |  |
| ner-ru-gherman | **1162** | 69.7% [67.4%, 72.0%] | 0.9% | 0.423 [0.391, 0.455] | 0.972 | 0.270 | 0.010 | 0.458 | 0.121 | 4/378 | 35 | 0 | 2 | 177M |  |
| ner-ru-gherman-onnx | **1164** | 69.8% [67.6%, 72.1%] | 0.8% | 0.420 [0.388, 0.452] | 0.973 | 0.268 | 0.009 | 0.457 | 0.119 | 3/378 | 31 | 0 | 60 | - |  |
| ner-ru-gherman+cpu-int8 | **1181** | 70.8% [68.5%, 73.1%] | 0.8% | 0.400 [0.369, 0.432] | 0.976 | 0.252 | 0.010 | 0.446 | 0.116 | 3/378 | 28 | 0 | 11 | 177M |  |
| gliner2-hivetrace-uni-ru | **1182** | 70.9% [68.6%, 73.1%] | 29.0% | 0.327 [0.299, 0.357] | 0.939 | 0.198 | 0.415 | 0.440 | 0.265 | 15/378 | 78 | 0 | 10 | 147M |  |
| spacy-ru-lg | **1247** | 74.8% [72.8%, 76.8%] | 15.7% | 0.330 [0.304, 0.355] | 0.821 | 0.206 | 0.205 | 0.356 | 0.168 | 45/378 | 212 | 0 | 2 | - |  |
| davlan-mbert | **1257** | 75.4% [73.3%, 77.4%] | 14.1% | 0.341 [0.314, 0.368] | 0.886 | 0.211 | 0.202 | 0.368 | 0.164 | 8/378 | 60 | 0 | 2 | 177M |  |
| davlan-xlmr | **1265** | 75.9% [73.9%, 78.0%] | 14.6% | 0.356 [0.327, 0.384] | 0.932 | 0.220 | 0.215 | 0.373 | 0.169 | 4/378 | 36 | 0 | 1 | 277M |  |
| davlan-mbert+cpu-int8 | **1276** | 76.5% [74.5%, 78.5%] | 13.6% | 0.330 [0.302, 0.356] | 0.899 | 0.202 | 0.199 | 0.359 | 0.165 | 9/378 | 71 | 0 | 13 | 177M |  |
| spacy-alrosait | **1291** | 77.4% [75.4%, 79.6%] | 21.8% | 0.418 [0.384, 0.452] | 0.970 | 0.266 | 0.344 | 0.365 | 0.260 | 4/378 | 52 | 0 | 1 | - |  |
| davlan-xlmr+cpu-int8 | **1312** | 78.7% [76.7%, 80.7%] | 12.4% | 0.292 [0.264, 0.316] | 0.943 | 0.173 | 0.189 | 0.340 | 0.159 | 3/378 | 34 | 0 | 9 | 277M |  |
| natasha | **1318** | 79.1% [77.1%, 81.1%] | 14.1% | 0.272 [0.247, 0.297] | 0.878 | 0.161 | 0.209 | 0.331 | 0.170 | 8/378 | 64 | 0 | 0 | - |  |
| gliner-pii-base+cpu-int8 | **1609** | 96.5% [95.6%, 97.5%] | 3.5% | 0.049 [0.036, 0.063] | 1.000 | 0.025 | 0.067 | 0.067 | 0.044 | 0/378 | 0 | 0 | 20 | 166M |  |
| detect-secrets | **1641** | 98.4% [97.8%, 99.0%] | 1.6% | 0.190 [0.124, 0.253] | 0.759 | 0.109 | 0.000 | 0.031 | 0.190 | 0/378 | 0 | 0 | 8 | - |  |
| betterleaks | **1650** | 99.0% [98.5%, 99.5%] | 1.0% | 0.175 [0.102, 0.243] | 1.000 | 0.096 | 0.020 | 0.020 | 0.175 | 0/378 | 0 | 0 | 0 | - |  |
| gitleaks | **1650** | 99.0% [98.5%, 99.5%] | 1.0% | 0.175 [0.102, 0.243] | 1.000 | 0.096 | 0.020 | 0.020 | 0.175 | 0/378 | 0 | 0 | 0 | - |  |
| kingfisher | **1650** | 99.0% [98.5%, 99.5%] | 1.0% | 0.175 [0.102, 0.243] | 1.000 | 0.096 | 0.020 | 0.020 | 0.175 | 0/378 | 0 | 0 | 2 | - |  |
| noseyparker | **1650** | 99.0% [98.5%, 99.5%] | 1.0% | 0.175 [0.102, 0.243] | 1.000 | 0.096 | 0.020 | 0.020 | 0.175 | 0/378 | 0 | 0 | 2 | - |  |
| titus | **1650** | 99.0% [98.5%, 99.5%] | 1.0% | 0.175 [0.102, 0.243] | 1.000 | 0.096 | 0.020 | 0.020 | 0.175 | 0/378 | 0 | 0 | 0 | - |  |
| credsweeper-noml | **1656** | 99.3% [98.9%, 99.7%] | 0.7% | 0.091 [0.043, 0.148] | 0.999 | 0.048 | 0.012 | 0.013 | 0.091 | 0/378 | 0 | 0 | 2 | - |  |
| credsweeper | **1659** | 99.5% [99.1%, 99.8%] | 0.5% | 0.083 [0.034, 0.140] | 1.000 | 0.043 | 0.010 | 0.010 | 0.083 | 0/378 | 0 | 0 | 193 | - |  |
| trufflehog | **1666** | 99.9% [99.8%, 100.0%] | 0.1% | 0.011 [0.000, 0.035] | 1.000 | 0.006 | 0.001 | 0.001 | 0.011 | 0/378 | 0 | 0 | 12 | - |  |
| deepsecrets | **1666** | 99.9% [99.8%, 100.0%] | 0.1% | 0.011 [0.000, 0.034] | 1.000 | 0.005 | 0.001 | 0.001 | 0.011 | 0/378 | 0 | 0 | 24 | - |  |
| gliner-multi-v21+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 26 | 289M |  |
| gliner-multi-v21-ru+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 106 | 289M |  |
| gliner-nvidia+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 65 | 445M |  |
| gliner-nvidia-ru+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 483 | 445M |  |
| gliner-urchade+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 30 | 289M |  |
| gliner-urchade-ru+cpu-int8 | **1667** | 100.0% [100.0%, 100.0%] | 0.0% | 0.000 [0.000, 0.000] | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0/378 | 0 | 0 | 78 | 289M |  |

Neighbours by rank a paired bootstrap cannot tell apart (95%, missed %) - pairs, not a transitive chain, so `a ≈ b` and `b ≈ c` do not make `a ≈ c`: pplx+cpu-int8 ≈ nym-small; nym-small ≈ nym-base; nym-base ≈ nym-base+cpu-int8; pplx ≈ mmbert32k; apararti ≈ gliner-nvidia-ru; gliner-nvidia-ru ≈ opf-ru-v2; opf-ru-v2 ≈ opf-kz-ru; opf-kz-ru ≈ openmed-multilingual; openai-base-onnx ≈ openai-base; openai-base ≈ ru-pii-ner; ru-pii-ner ≈ traciora; traciora ≈ pii-shield-onnx; pii-shield-onnx ≈ gliner2-fastino-ru; gliner2-fastino-ru ≈ ru-legal-ner; ru-legal-ner ≈ ru-legal-ner+cpu-int8; ru-legal-ner+cpu-int8 ≈ nuner-zero; nuner-zero ≈ gliner-nvidia; gliner-nvidia ≈ gliner2-hivetrace-omni-ru; gliner2-hivetrace-omni-ru ≈ mmbert32k+cpu-int8; mmbert32k+cpu-int8 ≈ gliner-stream-pii; gliner-stream-pii ≈ bardsai-eu; bardsai-eu ≈ gliner-pii-edge; gliner2-vladlinv-ru ≈ gravitee-small+cpu-int8; gravitee-small+cpu-int8 ≈ openmed-nemotron; openmed-nemotron ≈ gliner-urchade-ru; gliner-urchade-ru ≈ gravitee-small; gravitee-small ≈ presidio-ru; presidio-ru ≈ gliner25-fastino-ru; gliner25-fastino-ru ≈ gliner2-fastino; gliner2-fastino ≈ kalyan-ettin; kalyan-ettin ≈ gliner2-hivetrace-uni; gliner2-hivetrace-uni ≈ gliner-urchade; gliner-urchade ≈ gliner2-vladlinv; gliner2-vladlinv ≈ gliner2-hivetrace-omni; gliner2-hivetrace-omni ≈ fef2-secret-ru; fef2-secret-ru ≈ gliner2-large; gliner2-large ≈ rules-ru; fef2-secret-ru+cpu-int8 ≈ gliner25-fastino; gliner25-fastino ≈ gliner-multi-v21-ru; gliner-multi-v21 ≈ kalyan-ettin+cpu-int8; gliner-pii-edge+cpu-int8 ≈ gliner-pii-base; stanza-ru ≈ ner-ru-gherman; ner-ru-gherman ≈ ner-ru-gherman-onnx; ner-ru-gherman+cpu-int8 ≈ gliner2-hivetrace-uni-ru; spacy-ru-lg ≈ davlan-mbert; davlan-mbert ≈ davlan-xlmr; davlan-xlmr ≈ davlan-mbert+cpu-int8; davlan-xlmr+cpu-int8 ≈ natasha; betterleaks ≈ gitleaks; gitleaks ≈ kingfisher; kingfisher ≈ noseyparker; noseyparker ≈ titus; titus ≈ credsweeper-noml; credsweeper-noml ≈ credsweeper; trufflehog ≈ deepsecrets; deepsecrets ≈ gliner-multi-v21+cpu-int8; gliner-multi-v21+cpu-int8 ≈ gliner-multi-v21-ru+cpu-int8; gliner-multi-v21-ru+cpu-int8 ≈ gliner-nvidia+cpu-int8; gliner-nvidia+cpu-int8 ≈ gliner-nvidia-ru+cpu-int8; gliner-nvidia-ru+cpu-int8 ≈ gliner-urchade+cpu-int8; gliner-urchade+cpu-int8 ≈ gliner-urchade-ru+cpu-int8

Legacy runs on this set: betterleaks, credsweeper, credsweeper-noml, deepsecrets, detect-secrets, kingfisher, noseyparker, presidio-ru, titus, trufflehog. Their meta carries no `protocol` and no `bench_sha256`, so the version of the text they were taken from is confirmed only by the row and character counts, not by a fingerprint.

detect-secrets, trufflehog mark a whole line at a time (`granularity` in the meta line), so their char P / R / F1 and entity exact are not comparable with the rest; their missed count is.

## Missed by group

| model | PERSON | ADDRESS | CONTACT | ID | SECRET |
|---|---|---|---|---|---|
| spans in gold | 228 | 176 | 390 | 778 | 95 |
| pplx+cpu-int8 | 2 (0.9%) | 2 (1.1%) | 1 (0.3%) | 9 (1.2%) | 0 (0.0%) |
| nym-small | 3 (1.3%) | 0 (0.0%) | 3 (0.8%) | 9 (1.2%) | 0 (0.0%) |
| nym-base | 1 (0.4%) | 0 (0.0%) | 10 (2.6%) | 5 (0.6%) | 1 (1.1%) |
| nym-base+cpu-int8 | 1 (0.4%) | 1 (0.6%) | 10 (2.6%) | 9 (1.2%) | 1 (1.1%) |
| pplx | 12 (5.3%) | 4 (2.3%) | 0 (0.0%) | 29 (3.7%) | 0 (0.0%) |
| mmbert32k | 5 (2.2%) | 3 (1.7%) | 0 (0.0%) | 45 (5.8%) | 2 (2.1%) |
| opf-ru | 5 (2.2%) | 17 (9.7%) | 8 (2.1%) | 52 (6.7%) | 1 (1.1%) |
| apararti | 28 (12.3%) | 19 (10.8%) | 5 (1.3%) | 56 (7.2%) | 0 (0.0%) |
| gliner-nvidia-ru | 1 (0.4%) | 53 (30.1%) | 10 (2.6%) | 34 (4.4%) | 10 (10.5%) |
| opf-ru-v2 | 24 (10.5%) | 22 (12.5%) | 21 (5.4%) | 57 (7.3%) | 1 (1.1%) |
| opf-kz-ru | 27 (11.8%) | 33 (18.8%) | 6 (1.5%) | 59 (7.6%) | 0 (0.0%) |
| openmed-multilingual | 46 (20.2%) | 13 (7.4%) | 2 (0.5%) | 64 (8.2%) | 5 (5.3%) |
| openai-base-onnx | 31 (13.6%) | 20 (11.4%) | 14 (3.6%) | 99 (12.7%) | 1 (1.1%) |
| openai-base | 31 (13.6%) | 19 (10.8%) | 15 (3.8%) | 99 (12.7%) | 1 (1.1%) |
| ru-pii-ner | 2 (0.9%) | 20 (11.4%) | 5 (1.3%) | 60 (7.7%) | 79 (83.2%) |
| traciora | 14 (6.1%) | 17 (9.7%) | 12 (3.1%) | 123 (15.8%) | 4 (4.2%) |
| pii-shield-onnx | 13 (5.7%) | 15 (8.5%) | 3 (0.8%) | 139 (17.9%) | 1 (1.1%) |
| gliner2-fastino-ru | 3 (1.3%) | 113 (64.2%) | 1 (0.3%) | 2 (0.3%) | 53 (55.8%) |
| ru-legal-ner | 4 (1.8%) | 27 (15.3%) | 30 (7.7%) | 128 (16.5%) | 4 (4.2%) |
| ru-legal-ner+cpu-int8 | 5 (2.2%) | 28 (15.9%) | 29 (7.4%) | 130 (16.7%) | 5 (5.3%) |
| nuner-zero | 0 (0.0%) | 2 (1.1%) | 12 (3.1%) | 151 (19.4%) | 33 (34.7%) |
| gliner-nvidia | 2 (0.9%) | 45 (25.6%) | 23 (5.9%) | 126 (16.2%) | 4 (4.2%) |
| gliner2-hivetrace-omni-ru | 0 (0.0%) | 47 (26.7%) | 25 (6.4%) | 52 (6.7%) | 79 (83.2%) |
| mmbert32k+cpu-int8 | 72 (31.6%) | 49 (27.8%) | 32 (8.2%) | 67 (8.6%) | 2 (2.1%) |
| gliner-stream-pii | 30 (13.2%) | 38 (21.6%) | 86 (22.1%) | 66 (8.5%) | 10 (10.5%) |
| bardsai-eu | 4 (1.8%) | 5 (2.8%) | 24 (6.2%) | 199 (25.6%) | 9 (9.5%) |
| gliner-pii-edge | 37 (16.2%) | 75 (42.6%) | 10 (2.6%) | 86 (11.1%) | 59 (62.1%) |
| gliner2-vladlinv-ru | 1 (0.4%) | 32 (18.2%) | 14 (3.6%) | 244 (31.4%) | 67 (70.5%) |
| gravitee-small+cpu-int8 | 57 (25.0%) | 10 (5.7%) | 45 (11.5%) | 186 (23.9%) | 65 (68.4%) |
| openmed-nemotron | 15 (6.6%) | 11 (6.2%) | 35 (9.0%) | 310 (39.8%) | 7 (7.4%) |
| gliner-urchade-ru | 140 (61.4%) | 48 (27.3%) | 40 (10.3%) | 89 (11.4%) | 65 (68.4%) |
| gravitee-small | 66 (28.9%) | 14 (8.0%) | 46 (11.8%) | 203 (26.1%) | 63 (66.3%) |
| presidio-ru | 3 (1.3%) | 19 (10.8%) | 12 (3.1%) | 280 (36.0%) | 86 (90.5%) |
| gliner25-fastino-ru | 0 (0.0%) | 12 (6.8%) | 11 (2.8%) | 304 (39.1%) | 93 (97.9%) |
| gliner2-fastino | 1 (0.4%) | 114 (64.8%) | 2 (0.5%) | 282 (36.2%) | 52 (54.7%) |
| kalyan-ettin | 16 (7.0%) | 59 (33.5%) | 33 (8.5%) | 342 (44.0%) | 4 (4.2%) |
| gliner2-hivetrace-uni | 10 (4.4%) | 129 (73.3%) | 16 (4.1%) | 226 (29.0%) | 87 (91.6%) |
| gliner-urchade | 0 (0.0%) | 44 (25.0%) | 23 (5.9%) | 351 (45.1%) | 62 (65.3%) |
| gliner2-vladlinv | 2 (0.9%) | 33 (18.8%) | 14 (3.6%) | 366 (47.0%) | 72 (75.8%) |
| gliner2-hivetrace-omni | 0 (0.0%) | 57 (32.4%) | 6 (1.5%) | 418 (53.7%) | 42 (44.2%) |
| fef2-secret-ru | 3 (1.3%) | 23 (13.1%) | 161 (41.3%) | 313 (40.2%) | 37 (38.9%) |
| gliner2-large | 50 (21.9%) | 22 (12.5%) | 16 (4.1%) | 382 (49.1%) | 81 (85.3%) |
| rules-ru | 228 (100.0%) | 176 (100.0%) | 12 (3.1%) | 102 (13.1%) | 77 (81.1%) |
| fef2-secret-ru+cpu-int8 | 2 (0.9%) | 36 (20.5%) | 178 (45.6%) | 423 (54.4%) | 51 (53.7%) |
| gliner25-fastino | 1 (0.4%) | 7 (4.0%) | 8 (2.1%) | 589 (75.7%) | 92 (96.8%) |
| gliner-multi-v21-ru | 2 (0.9%) | 6 (3.4%) | 150 (38.5%) | 488 (62.7%) | 92 (96.8%) |
| gliner-multi-v21 | 1 (0.4%) | 5 (2.8%) | 151 (38.7%) | 550 (70.7%) | 92 (96.8%) |
| kalyan-ettin+cpu-int8 | 54 (23.7%) | 128 (72.7%) | 123 (31.5%) | 527 (67.7%) | 11 (11.6%) |
| gliner-pii-edge+cpu-int8 | 195 (85.5%) | 136 (77.3%) | 223 (57.2%) | 296 (38.0%) | 88 (92.6%) |
| gliner-pii-base | 43 (18.9%) | 133 (75.6%) | 89 (22.8%) | 638 (82.0%) | 51 (53.7%) |
| ner-ru-yqelz | 0 (0.0%) | 0 (0.0%) | 346 (88.7%) | 647 (83.2%) | 44 (46.3%) |
| stanza-ru | 12 (5.3%) | 19 (10.8%) | 371 (95.1%) | 659 (84.7%) | 77 (81.1%) |
| ner-ru-gherman | 4 (1.8%) | 3 (1.7%) | 282 (72.3%) | 778 (100.0%) | 95 (100.0%) |
| ner-ru-gherman-onnx | 5 (2.2%) | 3 (1.7%) | 283 (72.6%) | 778 (100.0%) | 95 (100.0%) |
| ner-ru-gherman+cpu-int8 | 5 (2.2%) | 7 (4.0%) | 296 (75.9%) | 778 (100.0%) | 95 (100.0%) |
| gliner2-hivetrace-uni-ru | 124 (54.4%) | 174 (98.9%) | 357 (91.5%) | 455 (58.5%) | 72 (75.8%) |
| spacy-ru-lg | 1 (0.4%) | 10 (5.7%) | 373 (95.6%) | 775 (99.6%) | 88 (92.6%) |
| davlan-mbert | 10 (4.4%) | 7 (4.0%) | 367 (94.1%) | 778 (100.0%) | 95 (100.0%) |
| davlan-xlmr | 4 (1.8%) | 4 (2.3%) | 384 (98.5%) | 778 (100.0%) | 95 (100.0%) |
| davlan-mbert+cpu-int8 | 12 (5.3%) | 11 (6.2%) | 380 (97.4%) | 778 (100.0%) | 95 (100.0%) |
| spacy-alrosait | 14 (6.1%) | 16 (9.1%) | 388 (99.5%) | 778 (100.0%) | 95 (100.0%) |
| davlan-xlmr+cpu-int8 | 21 (9.2%) | 30 (17.0%) | 388 (99.5%) | 778 (100.0%) | 95 (100.0%) |
| natasha | 13 (5.7%) | 52 (29.5%) | 390 (100.0%) | 768 (98.7%) | 95 (100.0%) |
| gliner-pii-base+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 374 (95.9%) | 736 (94.6%) | 95 (100.0%) |
| detect-secrets | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 69 (72.6%) |
| betterleaks | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 78 (82.1%) |
| gitleaks | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 78 (82.1%) |
| kingfisher | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 78 (82.1%) |
| noseyparker | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 78 (82.1%) |
| titus | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 78 (82.1%) |
| credsweeper-noml | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 84 (88.4%) |
| credsweeper | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 87 (91.6%) |
| trufflehog | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 94 (98.9%) |
| deepsecrets | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 94 (98.9%) |
| gliner-multi-v21+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |
| gliner-multi-v21-ru+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |
| gliner-nvidia+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |
| gliner-nvidia-ru+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |
| gliner-urchade+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |
| gliner-urchade-ru+cpu-int8 | 228 (100.0%) | 176 (100.0%) | 390 (100.0%) | 778 (100.0%) | 95 (100.0%) |

## Char recall by gold type

| type | group | pplx+cpu-int8 | nym-small | nym-base | nym-base+cpu-int8 | pplx | mmbert32k | opf-ru | apararti | gliner-nvidia-ru | opf-ru-v2 | opf-kz-ru | openmed-multilingual | openai-base-onnx | openai-base | ru-pii-ner | traciora | pii-shield-onnx | gliner2-fastino-ru | ru-legal-ner | ru-legal-ner+cpu-int8 | nuner-zero | gliner-nvidia | gliner2-hivetrace-omni-ru | mmbert32k+cpu-int8 | gliner-stream-pii | bardsai-eu | gliner-pii-edge | gliner2-vladlinv-ru | gravitee-small+cpu-int8 | openmed-nemotron | gliner-urchade-ru | gravitee-small | presidio-ru | gliner25-fastino-ru | gliner2-fastino | kalyan-ettin | gliner2-hivetrace-uni | gliner-urchade | gliner2-vladlinv | gliner2-hivetrace-omni | fef2-secret-ru | gliner2-large | rules-ru | fef2-secret-ru+cpu-int8 | gliner25-fastino | gliner-multi-v21-ru | gliner-multi-v21 | kalyan-ettin+cpu-int8 | gliner-pii-edge+cpu-int8 | gliner-pii-base | ner-ru-yqelz | stanza-ru | ner-ru-gherman | ner-ru-gherman-onnx | ner-ru-gherman+cpu-int8 | gliner2-hivetrace-uni-ru | spacy-ru-lg | davlan-mbert | davlan-xlmr | davlan-mbert+cpu-int8 | spacy-alrosait | davlan-xlmr+cpu-int8 | natasha | gliner-pii-base+cpu-int8 | detect-secrets | betterleaks | gitleaks | kingfisher | noseyparker | titus | credsweeper-noml | credsweeper | trufflehog | deepsecrets | gliner-multi-v21+cpu-int8 | gliner-multi-v21-ru+cpu-int8 | gliner-nvidia+cpu-int8 | gliner-nvidia-ru+cpu-int8 | gliner-urchade+cpu-int8 | gliner-urchade-ru+cpu-int8 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ADDRESS | ADDRESS | 0.988 | 0.727 | 0.753 | 0.725 | 0.979 | 0.656 | 0.505 | 0.867 | 0.545 | 0.857 | 0.604 | 0.410 | 0.874 | 0.874 | 0.911 | 0.913 | 0.764 | 0.239 | 0.594 | 0.581 | 0.938 | 0.621 | 0.436 | 0.292 | 0.524 | 0.748 | 0.350 | 0.835 | 0.923 | 0.719 | 0.616 | 0.910 | 0.409 | 0.863 | 0.239 | 0.332 | 0.116 | 0.638 | 0.825 | 0.459 | 0.433 | 0.574 | 0.000 | 0.377 | 0.907 | 0.624 | 0.641 | 0.103 | 0.101 | 0.152 | 0.496 | 0.494 | 0.754 | 0.744 | 0.676 | 0.003 | 0.428 | 0.548 | 0.622 | 0.532 | 0.908 | 0.427 | 0.307 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| BANK_CARD_NUMBER | ID | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.981 | 0.999 | 1.000 | 0.989 | 0.979 | 0.999 | 0.989 | 0.914 | 0.914 | 1.000 | 0.914 | 1.000 | 0.989 | 0.985 | 0.971 | 0.920 | 0.968 | 0.851 | 0.958 | 0.889 | 0.742 | 1.000 | 0.873 | 0.920 | 0.905 | 0.404 | 0.896 | 0.000 | 0.174 | 0.989 | 0.895 | 0.607 | 0.340 | 0.804 | 0.733 | 0.437 | 0.572 | 1.000 | 0.361 | 0.162 | 0.000 | 0.000 | 0.390 | 0.469 | 0.381 | 0.135 | 0.085 | 0.000 | 0.000 | 0.000 | 0.397 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.053 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| CVC | ID | 0.883 | 0.896 | 0.961 | 0.961 | 0.623 | 0.506 | 0.390 | 0.351 | 0.727 | 0.351 | 0.273 | 0.805 | 0.286 | 0.286 | 0.831 | 0.078 | 0.481 | 1.000 | 0.000 | 0.013 | 0.545 | 0.675 | 0.922 | 0.325 | 0.987 | 0.117 | 0.714 | 0.909 | 0.610 | 0.338 | 0.792 | 0.571 | 0.000 | 0.182 | 0.805 | 0.351 | 0.506 | 0.351 | 0.571 | 0.519 | 0.091 | 0.416 | 0.000 | 0.065 | 0.026 | 0.078 | 0.130 | 0.091 | 0.208 | 0.130 | 0.403 | 0.143 | 0.000 | 0.000 | 0.000 | 0.636 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| EMAIL | CONTACT | 0.995 | 0.960 | 0.879 | 0.902 | 0.999 | 0.933 | 0.904 | 0.977 | 0.992 | 0.863 | 0.954 | 0.994 | 0.949 | 0.944 | 0.967 | 0.988 | 1.000 | 0.998 | 0.717 | 0.720 | 1.000 | 0.997 | 1.000 | 0.554 | 0.923 | 0.663 | 0.925 | 0.948 | 0.782 | 0.958 | 0.988 | 0.774 | 1.000 | 0.992 | 0.998 | 0.990 | 0.983 | 1.000 | 0.941 | 1.000 | 0.993 | 1.000 | 1.000 | 0.944 | 1.000 | 0.509 | 0.453 | 0.774 | 0.244 | 0.983 | 0.024 | 0.107 | 0.299 | 0.293 | 0.270 | 0.042 | 0.098 | 0.079 | 0.011 | 0.030 | 0.000 | 0.003 | 0.000 | 0.035 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| INN | ID | 1.000 | 1.000 | 0.993 | 0.985 | 1.000 | 0.993 | 0.993 | 0.991 | 1.000 | 1.000 | 1.000 | 0.956 | 0.937 | 0.944 | 0.947 | 0.897 | 0.713 | 1.000 | 0.950 | 0.959 | 0.824 | 0.901 | 1.000 | 0.975 | 0.857 | 0.862 | 0.782 | 0.790 | 0.575 | 0.515 | 1.000 | 0.538 | 1.000 | 0.957 | 0.931 | 0.372 | 0.562 | 0.756 | 0.384 | 0.329 | 0.635 | 0.197 | 1.000 | 0.540 | 0.132 | 0.240 | 0.404 | 0.194 | 0.524 | 0.040 | 0.229 | 0.290 | 0.000 | 0.000 | 0.000 | 0.204 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.035 | 0.032 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| KPP | ID | 1.000 | 0.989 | 0.989 | 0.968 | 1.000 | 0.989 | 0.989 | 0.957 | 0.968 | 0.957 | 0.979 | 0.947 | 0.851 | 0.851 | 0.840 | 0.830 | 0.851 | 1.000 | 0.734 | 0.723 | 0.979 | 0.691 | 1.000 | 0.957 | 0.883 | 0.734 | 0.936 | 0.021 | 0.745 | 0.553 | 0.989 | 0.723 | 0.000 | 1.000 | 0.117 | 0.447 | 0.521 | 0.043 | 0.000 | 0.319 | 0.723 | 0.489 | 1.000 | 0.553 | 0.096 | 1.000 | 0.447 | 0.415 | 0.734 | 0.309 | 0.000 | 0.489 | 0.000 | 0.000 | 0.000 | 0.394 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.053 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| NAME | PERSON | 0.982 | 0.923 | 0.932 | 0.928 | 0.902 | 0.961 | 0.931 | 0.865 | 0.982 | 0.883 | 0.874 | 0.697 | 0.855 | 0.855 | 0.996 | 0.927 | 0.910 | 0.990 | 0.985 | 0.984 | 1.000 | 0.912 | 0.998 | 0.497 | 0.863 | 0.990 | 0.813 | 0.995 | 0.706 | 0.854 | 0.379 | 0.676 | 0.993 | 0.998 | 0.994 | 0.801 | 0.954 | 1.000 | 0.991 | 0.998 | 0.986 | 0.749 | 0.000 | 0.988 | 0.996 | 0.996 | 0.998 | 0.621 | 0.119 | 0.796 | 0.997 | 0.955 | 0.917 | 0.915 | 0.912 | 0.443 | 0.997 | 0.964 | 0.991 | 0.957 | 0.944 | 0.889 | 0.951 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| OGRN | ID | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.989 | 0.989 | 1.000 | 0.968 | 1.000 | 1.000 | 0.849 | 0.892 | 0.892 | 0.753 | 0.957 | 0.882 | 0.989 | 0.978 | 0.978 | 0.785 | 0.914 | 0.925 | 1.000 | 0.903 | 0.892 | 0.968 | 0.011 | 0.763 | 0.355 | 0.892 | 0.720 | 1.000 | 0.161 | 0.355 | 0.398 | 0.839 | 0.753 | 0.086 | 0.312 | 0.753 | 0.376 | 1.000 | 0.634 | 0.075 | 0.753 | 0.355 | 0.355 | 0.731 | 0.075 | 0.430 | 0.054 | 0.000 | 0.000 | 0.000 | 0.247 | 0.022 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.065 | 0.151 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| OGRNIP | ID | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.989 | 1.000 | 1.000 | 0.954 | 1.000 | 1.000 | 0.805 | 0.977 | 0.966 | 1.000 | 0.954 | 0.954 | 1.000 | 0.989 | 0.989 | 0.724 | 0.931 | 0.862 | 0.989 | 0.759 | 0.862 | 1.000 | 0.874 | 0.943 | 0.644 | 1.000 | 0.943 | 1.000 | 0.092 | 0.115 | 0.678 | 0.747 | 0.885 | 0.747 | 0.034 | 0.632 | 0.230 | 1.000 | 0.345 | 0.023 | 0.816 | 0.379 | 0.322 | 0.862 | 0.023 | 0.011 | 0.057 | 0.000 | 0.000 | 0.000 | 0.310 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.092 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| PASSPORT_NUMBER | ID | 0.919 | 0.907 | 0.907 | 0.904 | 0.906 | 0.812 | 0.847 | 0.981 | 0.900 | 0.852 | 0.989 | 0.861 | 0.981 | 0.986 | 0.907 | 0.868 | 0.609 | 0.903 | 0.896 | 0.882 | 0.849 | 0.905 | 0.839 | 0.744 | 0.568 | 0.661 | 0.838 | 0.891 | 0.732 | 0.646 | 0.853 | 0.709 | 0.790 | 0.862 | 0.821 | 0.496 | 0.787 | 0.828 | 0.899 | 0.842 | 0.610 | 0.870 | 0.729 | 0.395 | 0.842 | 0.054 | 0.303 | 0.352 | 0.551 | 0.382 | 0.073 | 0.024 | 0.000 | 0.000 | 0.000 | 0.681 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.022 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| PHONE_NUMBER | CONTACT | 1.000 | 1.000 | 1.000 | 0.992 | 1.000 | 0.959 | 0.994 | 0.995 | 0.959 | 0.987 | 0.995 | 0.951 | 0.980 | 0.980 | 1.000 | 0.950 | 0.988 | 0.996 | 0.950 | 0.951 | 0.948 | 0.894 | 0.899 | 0.842 | 0.629 | 0.914 | 0.996 | 0.981 | 0.890 | 0.806 | 0.838 | 0.880 | 0.953 | 0.960 | 0.992 | 0.725 | 0.932 | 0.907 | 0.984 | 0.976 | 0.223 | 0.930 | 0.953 | 0.174 | 0.967 | 0.504 | 0.542 | 0.350 | 0.489 | 0.618 | 0.134 | 0.000 | 0.004 | 0.004 | 0.000 | 0.104 | 0.004 | 0.000 | 0.000 | 0.000 | 0.006 | 0.000 | 0.000 | 0.041 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| SNILS | ID | 1.000 | 1.000 | 1.000 | 0.999 | 1.000 | 0.967 | 0.994 | 0.995 | 0.991 | 0.997 | 0.974 | 0.939 | 0.971 | 0.971 | 0.973 | 0.954 | 0.971 | 1.000 | 0.907 | 0.898 | 0.728 | 0.544 | 0.953 | 0.865 | 0.824 | 0.708 | 0.751 | 0.978 | 0.822 | 0.572 | 0.986 | 0.813 | 1.000 | 0.998 | 0.754 | 0.418 | 0.934 | 0.208 | 0.586 | 0.434 | 0.649 | 0.751 | 1.000 | 0.441 | 0.290 | 0.134 | 0.243 | 0.162 | 0.607 | 0.029 | 0.017 | 0.055 | 0.000 | 0.000 | 0.000 | 0.362 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.026 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| TOKEN | SECRET | 1.000 | 0.870 | 0.952 | 0.969 | 1.000 | 0.989 | 0.999 | 1.000 | 0.955 | 0.999 | 1.000 | 0.990 | 0.999 | 0.999 | 0.059 | 0.996 | 0.999 | 0.278 | 0.907 | 0.923 | 0.563 | 0.986 | 0.096 | 0.980 | 0.760 | 0.960 | 0.185 | 0.157 | 0.225 | 0.962 | 0.205 | 0.241 | 0.192 | 0.013 | 0.302 | 0.984 | 0.008 | 0.231 | 0.114 | 0.380 | 0.756 | 0.077 | 0.474 | 0.658 | 0.019 | 0.019 | 0.019 | 0.942 | 0.017 | 0.438 | 0.369 | 0.206 | 0.000 | 0.000 | 0.000 | 0.116 | 0.046 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.526 | 0.464 | 0.464 | 0.464 | 0.464 | 0.464 | 0.230 | 0.210 | 0.028 | 0.026 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |

## char F1 by domain

| domain | n | pplx+cpu-int8 | nym-small | nym-base | nym-base+cpu-int8 | pplx | mmbert32k | opf-ru | apararti | gliner-nvidia-ru | opf-ru-v2 | opf-kz-ru | openmed-multilingual | openai-base-onnx | openai-base | ru-pii-ner | traciora | pii-shield-onnx | gliner2-fastino-ru | ru-legal-ner | ru-legal-ner+cpu-int8 | nuner-zero | gliner-nvidia | gliner2-hivetrace-omni-ru | mmbert32k+cpu-int8 | gliner-stream-pii | bardsai-eu | gliner-pii-edge | gliner2-vladlinv-ru | gravitee-small+cpu-int8 | openmed-nemotron | gliner-urchade-ru | gravitee-small | presidio-ru | gliner25-fastino-ru | gliner2-fastino | kalyan-ettin | gliner2-hivetrace-uni | gliner-urchade | gliner2-vladlinv | gliner2-hivetrace-omni | fef2-secret-ru | gliner2-large | rules-ru | fef2-secret-ru+cpu-int8 | gliner25-fastino | gliner-multi-v21-ru | gliner-multi-v21 | kalyan-ettin+cpu-int8 | gliner-pii-edge+cpu-int8 | gliner-pii-base | ner-ru-yqelz | stanza-ru | ner-ru-gherman | ner-ru-gherman-onnx | ner-ru-gherman+cpu-int8 | gliner2-hivetrace-uni-ru | spacy-ru-lg | davlan-mbert | davlan-xlmr | davlan-mbert+cpu-int8 | spacy-alrosait | davlan-xlmr+cpu-int8 | natasha | gliner-pii-base+cpu-int8 | detect-secrets | betterleaks | gitleaks | kingfisher | noseyparker | titus | credsweeper-noml | credsweeper | trufflehog | deepsecrets | gliner-multi-v21+cpu-int8 | gliner-multi-v21-ru+cpu-int8 | gliner-nvidia+cpu-int8 | gliner-nvidia-ru+cpu-int8 | gliner-urchade+cpu-int8 | gliner-urchade-ru+cpu-int8 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ADDRESS | 70 | 0.821 | 0.790 | 0.800 | 0.791 | 0.882 | 0.770 | 0.648 | 0.909 | 0.607 | 0.920 | 0.764 | 0.548 | 0.884 | 0.883 | 0.943 | 0.933 | 0.901 | 0.192 | 0.730 | 0.703 | 0.932 | 0.691 | 0.450 | 0.464 | 0.714 | 0.808 | 0.633 | 0.920 | 0.834 | 0.793 | 0.751 | 0.835 | 0.587 | 0.878 | 0.194 | 0.563 | 0.168 | 0.755 | 0.918 | 0.506 | 0.620 | 0.698 | 0.000 | 0.555 | 0.921 | 0.743 | 0.759 | 0.250 | 0.260 | 0.114 | 0.599 | 0.647 | 0.880 | 0.870 | 0.823 | 0.000 | 0.624 | 0.682 | 0.725 | 0.673 | 0.913 | 0.575 | 0.502 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| BANK_CARD_NUMBER | 70 | 0.931 | 1.000 | 1.000 | 1.000 | 0.982 | 0.993 | 1.000 | 0.981 | 0.991 | 0.986 | 0.936 | 0.988 | 0.919 | 0.919 | 1.000 | 0.947 | 0.998 | 0.993 | 1.000 | 1.000 | 0.890 | 0.982 | 0.884 | 0.983 | 0.998 | 0.838 | 0.979 | 0.963 | 0.584 | 0.855 | 0.353 | 0.587 | 0.000 | 0.313 | 0.993 | 0.966 | 0.824 | 0.271 | 0.939 | 0.793 | 0.600 | 0.678 | 1.000 | 0.511 | 0.158 | 0.000 | 0.000 | 0.627 | 0.651 | 0.443 | 0.140 | 0.148 | 0.000 | 0.000 | 0.000 | 0.557 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.108 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| CVC | 70 | 0.648 | 0.906 | 0.978 | 0.978 | 0.596 | 0.692 | 0.545 | 0.374 | 0.817 | 0.513 | 0.346 | 0.829 | 0.376 | 0.376 | 0.795 | 0.104 | 0.641 | 1.000 | 0.000 | 0.028 | 0.346 | 0.543 | 0.923 | 0.500 | 0.885 | 0.224 | 0.579 | 0.885 | 0.221 | 0.336 | 0.862 | 0.266 | 0.000 | 0.263 | 0.648 | 0.488 | 0.655 | 0.377 | 0.636 | 0.677 | 0.068 | 0.276 | 0.000 | 0.067 | 0.042 | 0.070 | 0.122 | 0.154 | 0.318 | 0.199 | 0.313 | 0.168 | 0.000 | 0.000 | 0.000 | 0.655 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| EMAIL | 70 | 0.868 | 0.984 | 0.933 | 0.958 | 0.920 | 0.959 | 0.952 | 0.979 | 0.967 | 0.927 | 0.967 | 0.989 | 0.970 | 0.968 | 0.985 | 0.976 | 1.000 | 0.994 | 0.787 | 0.786 | 0.944 | 0.958 | 0.994 | 0.794 | 0.969 | 0.747 | 0.950 | 0.971 | 0.660 | 0.886 | 1.000 | 0.671 | 0.989 | 0.994 | 0.994 | 0.983 | 0.991 | 0.994 | 0.977 | 0.994 | 0.989 | 0.991 | 1.000 | 0.990 | 0.994 | 0.691 | 0.565 | 0.876 | 0.481 | 0.984 | 0.029 | 0.307 | 0.442 | 0.431 | 0.422 | 0.028 | 0.154 | 0.037 | 0.008 | 0.020 | 0.000 | 0.016 | 0.000 | 0.083 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| INN | 70 | 0.766 | 0.997 | 0.984 | 0.984 | 0.906 | 0.994 | 0.976 | 0.902 | 0.964 | 0.984 | 0.833 | 0.924 | 0.868 | 0.868 | 1.000 | 0.909 | 0.898 | 1.000 | 0.973 | 0.982 | 0.758 | 0.703 | 0.984 | 0.990 | 0.887 | 0.862 | 0.747 | 0.986 | 0.382 | 0.562 | 0.992 | 0.426 | 0.977 | 1.000 | 0.936 | 0.552 | 0.727 | 0.750 | 0.641 | 0.572 | 0.736 | 0.174 | 1.000 | 0.675 | 0.161 | 0.201 | 0.592 | 0.378 | 0.675 | 0.000 | 0.365 | 0.418 | 0.000 | 0.000 | 0.000 | 0.333 | 0.026 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.077 | 0.056 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| KPP | 70 | 0.678 | 0.994 | 0.989 | 0.978 | 0.917 | 0.971 | 0.982 | 0.833 | 0.925 | 0.982 | 0.755 | 0.886 | 0.815 | 0.810 | 0.925 | 0.971 | 0.993 | 0.981 | 0.816 | 0.816 | 0.725 | 0.658 | 0.973 | 0.934 | 0.971 | 0.761 | 0.747 | 0.056 | 0.383 | 0.545 | 0.975 | 0.391 | 0.000 | 0.943 | 0.214 | 0.652 | 0.675 | 0.045 | 0.000 | 0.411 | 0.785 | 0.543 | 1.000 | 0.677 | 0.142 | 0.865 | 0.630 | 0.595 | 0.799 | 0.486 | 0.000 | 0.561 | 0.000 | 0.000 | 0.000 | 0.500 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.133 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| L-CHAT | 100 | 0.782 | 0.930 | 0.925 | 0.924 | 0.887 | 0.945 | 0.873 | 0.961 | 0.978 | 0.839 | 0.933 | 0.944 | 0.919 | 0.907 | 0.951 | 0.913 | 0.984 | 1.000 | 0.894 | 0.888 | 0.874 | 0.904 | 0.941 | 0.682 | 0.874 | 0.846 | 0.890 | 0.965 | 0.403 | 0.822 | 0.824 | 0.458 | 0.983 | 0.974 | 0.902 | 0.922 | 0.981 | 0.917 | 0.934 | 0.977 | 0.874 | 0.868 | 0.838 | 0.757 | 0.924 | 0.850 | 0.803 | 0.701 | 0.400 | 0.906 | 0.285 | 0.436 | 0.474 | 0.474 | 0.467 | 0.247 | 0.528 | 0.508 | 0.436 | 0.474 | 0.436 | 0.412 | 0.436 | 0.057 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| L-DIALOG | 100 | 0.422 | 0.868 | 0.892 | 0.876 | 0.784 | 0.788 | 0.723 | 0.689 | 0.831 | 0.829 | 0.696 | 0.592 | 0.699 | 0.698 | 0.905 | 0.730 | 0.877 | 0.848 | 0.736 | 0.680 | 0.792 | 0.372 | 0.834 | 0.546 | 0.621 | 0.832 | 0.612 | 0.861 | 0.458 | 0.504 | 0.903 | 0.451 | 0.703 | 0.866 | 0.807 | 0.614 | 0.638 | 0.704 | 0.850 | 0.827 | 0.518 | 0.613 | 0.756 | 0.506 | 0.882 | 0.446 | 0.316 | 0.392 | 0.176 | 0.689 | 0.413 | 0.240 | 0.505 | 0.502 | 0.428 | 0.184 | 0.375 | 0.430 | 0.461 | 0.384 | 0.497 | 0.338 | 0.150 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| NAME | 70 | 0.854 | 0.955 | 0.965 | 0.963 | 0.790 | 0.984 | 0.978 | 0.934 | 0.986 | 0.957 | 0.917 | 0.728 | 0.851 | 0.851 | 0.995 | 0.929 | 0.989 | 0.991 | 0.932 | 0.927 | 0.969 | 0.888 | 0.994 | 0.791 | 0.964 | 0.938 | 0.741 | 1.000 | 0.503 | 0.808 | 0.261 | 0.497 | 1.000 | 0.997 | 0.991 | 0.782 | 0.949 | 0.996 | 1.000 | 0.994 | 1.000 | 0.734 | 0.000 | 1.000 | 0.997 | 1.000 | 1.000 | 0.644 | 0.283 | 0.786 | 0.985 | 1.000 | 0.962 | 0.962 | 0.963 | 0.442 | 1.000 | 1.000 | 1.000 | 1.000 | 0.994 | 0.946 | 0.996 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| OGRN | 70 | 0.811 | 1.000 | 0.995 | 1.000 | 0.859 | 0.988 | 0.991 | 0.880 | 0.956 | 0.995 | 0.840 | 0.795 | 0.856 | 0.856 | 0.889 | 0.981 | 0.971 | 0.993 | 0.995 | 0.995 | 0.739 | 0.777 | 0.947 | 0.966 | 0.962 | 0.942 | 0.939 | 0.028 | 0.438 | 0.371 | 0.915 | 0.451 | 0.956 | 0.245 | 0.526 | 0.550 | 0.948 | 0.734 | 0.205 | 0.444 | 0.811 | 0.506 | 1.000 | 0.720 | 0.150 | 0.726 | 0.489 | 0.504 | 0.800 | 0.125 | 0.495 | 0.064 | 0.000 | 0.000 | 0.000 | 0.413 | 0.049 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.151 | 0.333 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| OGRNIP | 70 | 0.748 | 0.992 | 0.969 | 0.994 | 0.885 | 0.975 | 0.997 | 0.828 | 0.932 | 0.942 | 0.814 | 0.819 | 0.828 | 0.820 | 1.000 | 0.962 | 0.971 | 1.000 | 0.982 | 0.978 | 0.748 | 0.774 | 0.927 | 0.941 | 0.804 | 0.933 | 0.837 | 0.947 | 0.578 | 0.660 | 0.994 | 0.606 | 0.947 | 0.182 | 0.178 | 0.758 | 0.859 | 0.791 | 0.906 | 0.055 | 0.688 | 0.341 | 0.996 | 0.438 | 0.055 | 0.729 | 0.504 | 0.474 | 0.936 | 0.026 | 0.017 | 0.097 | 0.000 | 0.000 | 0.000 | 0.461 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.205 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| PASSPORT_NUMBER | 70 | 0.884 | 0.912 | 0.913 | 0.910 | 0.908 | 0.896 | 0.866 | 0.968 | 0.880 | 0.869 | 0.946 | 0.862 | 0.966 | 0.970 | 0.917 | 0.876 | 0.838 | 0.889 | 0.943 | 0.930 | 0.623 | 0.738 | 0.844 | 0.862 | 0.799 | 0.720 | 0.771 | 0.902 | 0.402 | 0.609 | 0.803 | 0.434 | 0.806 | 0.843 | 0.765 | 0.569 | 0.862 | 0.709 | 0.909 | 0.814 | 0.720 | 0.706 | 0.744 | 0.580 | 0.799 | 0.049 | 0.376 | 0.492 | 0.691 | 0.450 | 0.077 | 0.024 | 0.000 | 0.000 | 0.000 | 0.712 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.071 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| PHONE_NUMBER | 70 | 0.694 | 1.000 | 1.000 | 1.000 | 0.793 | 0.986 | 0.995 | 0.992 | 0.921 | 0.991 | 0.989 | 0.964 | 0.974 | 0.976 | 0.992 | 0.954 | 0.975 | 1.000 | 0.991 | 0.982 | 0.730 | 0.753 | 0.930 | 0.947 | 0.934 | 0.948 | 0.988 | 0.968 | 0.562 | 0.773 | 0.823 | 0.572 | 0.885 | 0.961 | 0.983 | 0.689 | 0.988 | 0.839 | 0.974 | 0.987 | 0.390 | 0.906 | 0.919 | 0.307 | 0.953 | 0.664 | 0.737 | 0.442 | 0.686 | 0.547 | 0.528 | 0.000 | 0.000 | 0.000 | 0.000 | 0.289 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.118 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-AUTO | 100 | 0.798 | 0.948 | 0.924 | 0.930 | 0.902 | 0.917 | 0.898 | 0.928 | 0.933 | 0.913 | 0.873 | 0.868 | 0.874 | 0.880 | 0.920 | 0.874 | 0.842 | 0.911 | 0.865 | 0.860 | 0.847 | 0.850 | 0.930 | 0.687 | 0.775 | 0.870 | 0.824 | 0.849 | 0.575 | 0.696 | 0.875 | 0.603 | 0.850 | 0.893 | 0.819 | 0.771 | 0.758 | 0.838 | 0.811 | 0.803 | 0.624 | 0.772 | 0.722 | 0.584 | 0.824 | 0.801 | 0.674 | 0.562 | 0.486 | 0.611 | 0.441 | 0.462 | 0.535 | 0.534 | 0.532 | 0.280 | 0.426 | 0.535 | 0.525 | 0.494 | 0.533 | 0.474 | 0.385 | 0.040 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-BANK | 100 | 0.857 | 0.983 | 0.988 | 0.987 | 0.939 | 0.974 | 0.955 | 0.961 | 0.968 | 0.972 | 0.916 | 0.955 | 0.953 | 0.952 | 0.984 | 0.950 | 0.922 | 0.962 | 0.909 | 0.906 | 0.797 | 0.840 | 0.947 | 0.850 | 0.776 | 0.876 | 0.899 | 0.959 | 0.555 | 0.810 | 0.978 | 0.611 | 0.867 | 0.847 | 0.856 | 0.819 | 0.852 | 0.873 | 0.867 | 0.835 | 0.761 | 0.811 | 0.893 | 0.701 | 0.712 | 0.541 | 0.454 | 0.579 | 0.645 | 0.623 | 0.258 | 0.300 | 0.337 | 0.335 | 0.337 | 0.515 | 0.222 | 0.255 | 0.262 | 0.230 | 0.271 | 0.231 | 0.181 | 0.048 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-DELIVERY | 100 | 0.833 | 0.939 | 0.948 | 0.922 | 0.910 | 0.912 | 0.788 | 0.869 | 0.951 | 0.834 | 0.848 | 0.769 | 0.884 | 0.883 | 0.958 | 0.860 | 0.865 | 0.922 | 0.789 | 0.786 | 0.925 | 0.911 | 0.947 | 0.628 | 0.805 | 0.911 | 0.736 | 0.946 | 0.794 | 0.833 | 0.825 | 0.817 | 0.818 | 0.947 | 0.919 | 0.674 | 0.733 | 0.945 | 0.937 | 0.951 | 0.693 | 0.782 | 0.321 | 0.674 | 0.938 | 0.847 | 0.855 | 0.484 | 0.285 | 0.711 | 0.712 | 0.719 | 0.757 | 0.760 | 0.713 | 0.306 | 0.654 | 0.713 | 0.743 | 0.706 | 0.884 | 0.611 | 0.594 | 0.013 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-HR | 100 | 0.885 | 0.964 | 0.968 | 0.965 | 0.961 | 0.913 | 0.904 | 0.903 | 0.935 | 0.916 | 0.873 | 0.893 | 0.899 | 0.899 | 0.954 | 0.895 | 0.918 | 0.947 | 0.869 | 0.859 | 0.822 | 0.730 | 0.968 | 0.721 | 0.823 | 0.801 | 0.801 | 0.967 | 0.537 | 0.741 | 0.937 | 0.593 | 0.956 | 0.977 | 0.888 | 0.821 | 0.903 | 0.862 | 0.928 | 0.888 | 0.808 | 0.883 | 0.805 | 0.707 | 0.843 | 0.576 | 0.628 | 0.581 | 0.492 | 0.710 | 0.426 | 0.309 | 0.488 | 0.488 | 0.477 | 0.484 | 0.436 | 0.440 | 0.465 | 0.394 | 0.363 | 0.363 | 0.345 | 0.029 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-RE | 100 | 0.847 | 0.905 | 0.921 | 0.912 | 0.960 | 0.908 | 0.856 | 0.927 | 0.748 | 0.980 | 0.861 | 0.796 | 0.906 | 0.906 | 0.980 | 0.908 | 0.847 | 0.768 | 0.923 | 0.917 | 0.812 | 0.617 | 0.748 | 0.687 | 0.679 | 0.884 | 0.696 | 0.881 | 0.650 | 0.724 | 0.690 | 0.690 | 0.811 | 0.916 | 0.656 | 0.653 | 0.587 | 0.638 | 0.870 | 0.636 | 0.594 | 0.667 | 0.668 | 0.562 | 0.859 | 0.712 | 0.667 | 0.459 | 0.419 | 0.563 | 0.361 | 0.428 | 0.618 | 0.611 | 0.594 | 0.356 | 0.381 | 0.437 | 0.486 | 0.432 | 0.661 | 0.419 | 0.348 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-SUPPORT | 100 | 0.816 | 0.991 | 0.960 | 0.963 | 0.962 | 0.975 | 1.000 | 0.995 | 0.956 | 0.987 | 0.984 | 0.965 | 0.995 | 0.995 | 0.788 | 0.982 | 0.987 | 0.834 | 0.949 | 0.952 | 0.849 | 0.962 | 0.728 | 0.885 | 0.932 | 0.953 | 0.844 | 0.969 | 0.500 | 0.924 | 0.900 | 0.541 | 0.696 | 0.714 | 0.855 | 0.957 | 0.683 | 0.909 | 0.921 | 0.901 | 0.908 | 0.663 | 0.565 | 0.893 | 0.709 | 0.496 | 0.486 | 0.790 | 0.297 | 0.891 | 0.442 | 0.533 | 0.373 | 0.373 | 0.357 | 0.507 | 0.330 | 0.248 | 0.257 | 0.259 | 0.244 | 0.235 | 0.242 | 0.037 | 0.264 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.152 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| S-TELECOM | 100 | 0.820 | 0.965 | 0.951 | 0.959 | 0.942 | 0.917 | 0.947 | 0.918 | 0.946 | 0.965 | 0.875 | 0.883 | 0.922 | 0.918 | 0.952 | 0.903 | 0.928 | 0.884 | 0.847 | 0.863 | 0.876 | 0.851 | 0.941 | 0.757 | 0.723 | 0.937 | 0.841 | 0.877 | 0.589 | 0.792 | 0.877 | 0.621 | 0.850 | 0.929 | 0.794 | 0.717 | 0.728 | 0.877 | 0.856 | 0.865 | 0.798 | 0.783 | 0.699 | 0.778 | 0.816 | 0.671 | 0.643 | 0.519 | 0.430 | 0.729 | 0.427 | 0.509 | 0.539 | 0.529 | 0.519 | 0.342 | 0.424 | 0.520 | 0.518 | 0.496 | 0.565 | 0.412 | 0.410 | 0.014 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| SNILS | 70 | 0.791 | 0.992 | 0.992 | 0.985 | 0.918 | 0.972 | 0.996 | 0.901 | 0.935 | 0.977 | 0.890 | 0.928 | 0.898 | 0.898 | 0.988 | 0.965 | 0.987 | 0.992 | 0.963 | 0.960 | 0.748 | 0.594 | 0.953 | 0.935 | 0.904 | 0.812 | 0.787 | 1.000 | 0.446 | 0.623 | 0.977 | 0.475 | 0.970 | 0.992 | 0.840 | 0.565 | 0.993 | 0.301 | 0.726 | 0.634 | 0.803 | 0.739 | 1.000 | 0.646 | 0.434 | 0.196 | 0.393 | 0.353 | 0.780 | 0.048 | 0.020 | 0.117 | 0.000 | 0.000 | 0.000 | 0.594 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.072 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
| TOKEN | 70 | 0.947 | 0.920 | 0.975 | 0.986 | 0.980 | 0.994 | 1.000 | 0.997 | 0.987 | 0.998 | 0.994 | 0.999 | 0.999 | 0.999 | 0.039 | 0.995 | 0.999 | 0.411 | 0.946 | 0.957 | 0.660 | 0.990 | 0.165 | 0.989 | 0.839 | 0.978 | 0.226 | 0.106 | 0.315 | 0.968 | 0.240 | 0.335 | 0.345 | 0.012 | 0.434 | 0.998 | 0.000 | 0.286 | 0.061 | 0.515 | 0.863 | 0.128 | 0.703 | 0.787 | 0.025 | 0.025 | 0.025 | 0.994 | 0.025 | 0.574 | 0.516 | 0.274 | 0.000 | 0.000 | 0.000 | 0.109 | 0.071 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.666 | 0.693 | 0.693 | 0.693 | 0.693 | 0.693 | 0.387 | 0.387 | 0.062 | 0.058 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |

## Missed at thresholds 0.5 / 0.3 / 0.2 / 0.1

Only models that return a score. A lower threshold keeps more spans: fewer misses, more masking.

| model | 0.5 | 0.3 | 0.2 | 0.1 |
|---|---|---|---|---|
| nym-small | 15 (0.9%) | 11 (0.7%) | 10 (0.6%) | 10 (0.6%) |
| nym-base | 17 (1.0%) | 13 (0.8%) | 13 (0.8%) | 13 (0.8%) |
| nym-base+cpu-int8 | 22 (1.3%) | 11 (0.7%) | 10 (0.6%) | 10 (0.6%) |
| mmbert32k | 55 (3.3%) | 14 (0.8%) | 11 (0.7%) | 11 (0.7%) |
| opf-ru | 83 (5.0%) | 76 (4.6%) | 75 (4.5%) | 75 (4.5%) |
| apararti | 108 (6.5%) | 106 (6.4%) | 106 (6.4%) | 106 (6.4%) |
| gliner-nvidia-ru | 108 (6.5%) | 63 (3.8%) | 46 (2.8%) | 37 (2.2%) |
| opf-ru-v2 | 125 (7.5%) | 116 (7.0%) | 115 (6.9%) | 115 (6.9%) |
| opf-kz-ru | 125 (7.5%) | 122 (7.3%) | 122 (7.3%) | 122 (7.3%) |
| openmed-multilingual | 130 (7.8%) | 40 (2.4%) | 34 (2.0%) | 34 (2.0%) |
| openai-base-onnx | 165 (9.9%) | 163 (9.8%) | 163 (9.8%) | 163 (9.8%) |
| openai-base | 165 (9.9%) | 164 (9.8%) | 164 (9.8%) | 164 (9.8%) |
| traciora | 170 (10.2%) | 159 (9.5%) | 158 (9.5%) | 158 (9.5%) |
| pii-shield-onnx | 171 (10.3%) | 88 (5.3%) | 82 (4.9%) | 82 (4.9%) |
| gliner2-fastino-ru | 172 (10.3%) | 101 (6.1%) | 77 (4.6%) | 56 (3.4%) |
| ru-legal-ner | 193 (11.6%) | 119 (7.1%) | 113 (6.8%) | 111 (6.7%) |
| ru-legal-ner+cpu-int8 | 197 (11.8%) | 118 (7.1%) | 110 (6.6%) | 108 (6.5%) |
| nuner-zero | 198 (11.9%) | 32 (1.9%) | 8 (0.5%) | 4 (0.2%) |
| gliner-nvidia | 200 (12.0%) | 106 (6.4%) | 69 (4.1%) | 40 (2.4%) |
| gliner2-hivetrace-omni-ru | 203 (12.2%) | 86 (5.2%) | 51 (3.1%) | 29 (1.7%) |
| mmbert32k+cpu-int8 | 222 (13.3%) | 71 (4.3%) | 57 (3.4%) | 56 (3.4%) |
| gliner-stream-pii | 230 (13.8%) | 118 (7.1%) | 74 (4.4%) | 33 (2.0%) |
| bardsai-eu | 241 (14.5%) | 105 (6.3%) | 102 (6.1%) | 102 (6.1%) |
| gliner-pii-edge | 267 (16.0%) | 10 (0.6%) | 0 (0.0%) | 0 (0.0%) |
| gliner2-vladlinv-ru | 358 (21.5%) | 350 (21.0%) | 343 (20.6%) | 331 (19.9%) |
| gravitee-small+cpu-int8 | 363 (21.8%) | 236 (14.2%) | 224 (13.4%) | 224 (13.4%) |
| openmed-nemotron | 378 (22.7%) | 284 (17.0%) | 276 (16.6%) | 276 (16.6%) |
| gliner-urchade-ru | 382 (22.9%) | 233 (14.0%) | 153 (9.2%) | 65 (3.9%) |
| gravitee-small | 392 (23.5%) | 264 (15.8%) | 257 (15.4%) | 257 (15.4%) |
| presidio-ru | 400 (24.0%) | 382 (22.9%) | 382 (22.9%) | 382 (22.9%) |
| gliner25-fastino-ru | 420 (25.2%) | 406 (24.4%) | 406 (24.4%) | 406 (24.4%) |
| gliner2-fastino | 451 (27.1%) | 294 (17.6%) | 207 (12.4%) | 107 (6.4%) |
| kalyan-ettin | 454 (27.2%) | 160 (9.6%) | 104 (6.2%) | 98 (5.9%) |
| gliner2-hivetrace-uni | 468 (28.1%) | 149 (8.9%) | 60 (3.6%) | 7 (0.4%) |
| gliner-urchade | 480 (28.8%) | 294 (17.6%) | 187 (11.2%) | 71 (4.3%) |
| gliner2-vladlinv | 487 (29.2%) | 483 (29.0%) | 477 (28.6%) | 464 (27.8%) |
| gliner2-hivetrace-omni | 523 (31.4%) | 226 (13.6%) | 90 (5.4%) | 43 (2.6%) |
| fef2-secret-ru | 537 (32.2%) | 517 (31.0%) | 515 (30.9%) | 515 (30.9%) |
| gliner2-large | 551 (33.1%) | 400 (24.0%) | 302 (18.1%) | 185 (11.1%) |
| fef2-secret-ru+cpu-int8 | 690 (41.4%) | 647 (38.8%) | 643 (38.6%) | 643 (38.6%) |
| gliner25-fastino | 697 (41.8%) | 662 (39.7%) | 654 (39.2%) | 653 (39.2%) |
| gliner-multi-v21-ru | 738 (44.3%) | 348 (20.9%) | 179 (10.7%) | 70 (4.2%) |
| gliner-multi-v21 | 799 (47.9%) | 318 (19.1%) | 162 (9.7%) | 64 (3.8%) |
| kalyan-ettin+cpu-int8 | 843 (50.6%) | 491 (29.5%) | 414 (24.8%) | 405 (24.3%) |
| gliner-pii-edge+cpu-int8 | 938 (56.3%) | 192 (11.5%) | 90 (5.4%) | 19 (1.1%) |
| gliner-pii-base | 954 (57.2%) | 256 (15.4%) | 28 (1.7%) | 0 (0.0%) |
| ner-ru-yqelz | 1037 (62.2%) | 1015 (60.9%) | 1015 (60.9%) | 1015 (60.9%) |
| ner-ru-gherman | 1162 (69.7%) | 1162 (69.7%) | 1162 (69.7%) | 1162 (69.7%) |
| ner-ru-gherman-onnx | 1164 (69.8%) | 1164 (69.8%) | 1164 (69.8%) | 1164 (69.8%) |
| ner-ru-gherman+cpu-int8 | 1181 (70.8%) | 1180 (70.8%) | 1180 (70.8%) | 1180 (70.8%) |
| gliner2-hivetrace-uni-ru | 1182 (70.9%) | 566 (34.0%) | 381 (22.9%) | 145 (8.7%) |
| davlan-mbert | 1257 (75.4%) | 1257 (75.4%) | 1257 (75.4%) | 1257 (75.4%) |
| davlan-xlmr | 1265 (75.9%) | 1263 (75.8%) | 1263 (75.8%) | 1263 (75.8%) |
| davlan-mbert+cpu-int8 | 1276 (76.5%) | 1276 (76.5%) | 1276 (76.5%) | 1276 (76.5%) |
| davlan-xlmr+cpu-int8 | 1312 (78.7%) | 1289 (77.3%) | 1286 (77.1%) | 1286 (77.1%) |
| gliner-pii-base+cpu-int8 | 1609 (96.5%) | 662 (39.7%) | 183 (11.0%) | 16 (1.0%) |
| gliner-multi-v21-ru+cpu-int8 | 1667 (100.0%) | 1667 (100.0%) | 1667 (100.0%) | 1667 (100.0%) |
| gliner-nvidia+cpu-int8 | 1667 (100.0%) | 1667 (100.0%) | 1667 (100.0%) | 1663 (99.8%) |
| gliner-urchade+cpu-int8 | 1667 (100.0%) | 1667 (100.0%) | 1667 (100.0%) | 1636 (98.1%) |
| gliner-urchade-ru+cpu-int8 | 1667 (100.0%) | 1667 (100.0%) | 1667 (100.0%) | 1598 (95.9%) |

Notes: the unit of counting is one gold span after boundary normalization - the same unit in `missed`, in the group table, in the threshold table and in the ensembles; two annotations that share boundaries but not type are two spans, so an empty answer misses 100%. Gold and predicted boundaries are normalized the same way (whitespace, word boundaries, merge of adjacent same-label pieces). `dropped spans` - predicted intervals outside the text: rejected, not clipped to fit. A run made before `run.py` started clipping span ends to the piece it fed the model can carry them; `meta.clipped` counts what the clipping fixes in newer runs. Zero-shot models get the taxonomy of the set as labels (the `labels` field of `meta.json`). `train` - the model was trained on the source of this set (its slices and corrupted copies included): its row is not comparable with the others and stays out of the pooled numbers; an empty `contaminated` list in `benchmark/models.toml` means no evidence of overlap was found, not proof of none. `hidden` - gold spans every character of which is covered; a touched span counts as detected, not as hidden. missed % and char F1 carry 95% bootstrap intervals over rows (1000 resamples, the same rows for every model of the set). The group of a gold type comes from `BENCH/<set>/meta.json`; a model label with no group falls into OTHER. ms/row is a median and includes chunking of long texts; hardware and batch are in the meta line of the prediction file.