Datasets:
AITeamUIT
/
eval-gliner2-fold2-20260708

Dataset card Data Studio Files
xet
 Community
label
stringclasses
44 values
precision
float64
0.84
1
recall
float64
0.69
1
f1
float64
0.79
1
support
int64
52
14.5k
tp
int64
52
14.3k
fp
int64
0
763
fn
int64
0
460
NATIONALITY
0.975842
0.988139
0.981952
1,349
1,333
33
16
NATIONAL_ID
0.988095
0.96325
0.975514
517
498
6
19
ORGANIZATION
0.974572
0.9733
0.973936
8,427
8,202
214
225
PASSPORT
0.98441
0.982222
0.983315
450
442
7
8
PASSWORD
0.988889
0.980716
0.984786
363
356
4
7
PERSON
0.993898
0.988687
0.991286
14,497
14,333
88
164
PHONE
0.995093
0.990234
0.992657
2,867
2,839
14
28
PIN
0.895216
0.96088
0.926887
409
393
46
16
PLATE
0.953632
0.979365
0.966327
630
617
30
13
PREFIX
0.969682
0.945637
0.957508
2,097
1,983
62
114
RELIGION
0.965785
0.992013
0.978723
626
621
22
5
SWIFT
0.973034
0.921277
0.946448
470
433
12
37
TICKET_ID
0.945038
0.981761
0.963049
2,522
2,476
144
46
TIME
0.981458
0.893051
0.93517
3,497
3,123
59
374
TIN
0.994371
0.986047
0.990191
1,075
1,060
6
15
TRADE_UNION
0.972772
0.984962
0.978829
399
393
11
6
URL
0.989414
0.993622
0.991513
1,411
1,402
15
9
USERNAME
0.979412
0.979412
0.979412
1,360
1,332
28
28
WALLET
0.971347
0.988338
0.979769
343
339
10
4
ZIP_CODE
0.986289
0.989001
0.987643
1,091
1,079
15
12
ACCOUNT_ID
0.970994
0.97379
0.97239
3,472
3,381
101
91
ADDRESS
0.946478
0.933664
0.940027
2,216
2,069
117
147
AGE
0.960499
0.976744
0.968553
473
462
19
11
API_KEY
0.9933
0.996639
0.994966
595
593
4
2
BANK_ACCOUNT
0.980525
0.963394
0.971884
1,202
1,158
23
44
BIRTHDATE
0.972125
0.980094
0.976093
854
837
24
17
CARD_ISSUER
0.955772
0.966641
0.961176
1,319
1,275
59
44
CARD_NUMBER
0.959381
0.96875
0.964043
512
496
21
16
COORDINATE
0.97774
0.958054
0.967797
596
571
13
25
CVV
0.959259
0.938406
0.948718
276
259
11
17
DATE
0.967472
0.975875
0.971655
8,290
8,090
272
200
EMAIL
0.987421
0.982852
0.985132
3,674
3,611
46
63
EMPLOYEE_ID
0.947084
0.975528
0.961096
899
877
49
22
ETHNICITY
0.961081
0.960043
0.960562
926
889
36
37
GENDER
0.985975
0.985975
0.985975
713
703
10
10
IBAN
0.963303
0.992439
0.977654
529
525
20
4
INSURANCE_ID
0.971284
0.953566
0.962343
603
575
17
28
IP
0.985274
0.982644
0.983957
749
736
11
13
JOB_TITLE
0.865834
0.927482
0.895598
5,309
4,924
763
385
LICENSE
0.968586
0.974967
0.971766
759
740
24
19
LOCATION
0.937691
0.940409
0.939048
6,209
5,839
388
370
MARITAL
0.990099
0.994036
0.992063
503
500
5
3
MEDICAL_INFO
0.940966
0.958106
0.949458
549
526
33
23
MONEY
0.977937
0.979949
0.978942
1,945
1,906
43
39
NATIONALITY
0.969985
0.982209
0.976059
1,349
1,325
41
24
NATIONAL_ID
0.984127
0.959381
0.971596
517
496
8
21
ORGANIZATION
0.965542
0.964281
0.964911
8,427
8,126
290
301
PASSPORT
0.979955
0.977778
0.978865
450
440
9
10
PASSWORD
0.983333
0.975207
0.979253
363
354
6
9
PERSON
0.982387
0.977237
0.979805
14,497
14,167
254
330
PHONE
0.991237
0.986397
0.988811
2,867
2,828
25
39
PIN
0.888383
0.953545
0.919811
409
390
49
19
PLATE
0.950541
0.97619
0.963195
630
615
32
15
PREFIX
0.964792
0.940868
0.95268
2,097
1,973
72
124
RELIGION
0.956454
0.982428
0.969267
626
615
28
11
SWIFT
0.973034
0.921277
0.946448
470
433
12
37
TICKET_ID
0.941221
0.977795
0.95916
2,522
2,466
154
56
TIME
0.954431
0.868459
0.909418
3,497
3,037
145
460
TIN
0.992495
0.984186
0.988323
1,075
1,058
8
17
TRADE_UNION
0.930693
0.942356
0.936488
399
376
28
23
URL
0.986591
0.990787
0.988685
1,411
1,398
19
13
USERNAME
0.970588
0.970588
0.970588
1,360
1,320
40
40
WALLET
0.968481
0.985423
0.976879
343
338
11
5
ZIP_CODE
0.97989
0.982585
0.981236
1,091
1,072
22
19
ACCOUNT_ID
0.972951
0.981803
0.977357
1,209
1,187
33
22
ADDRESS
0.985194
0.965402
0.975197
896
865
13
31
AGE
1
0.994318
0.997151
176
175
0
1
API_KEY
0.995984
0.995984
0.995984
249
248
1
1
BANK_ACCOUNT
0.998047
0.971483
0.984586
526
511
1
15
BIRTHDATE
0.967456
0.987915
0.977578
331
327
11
4
CARD_ISSUER
0.959574
0.986871
0.973031
457
451
19
6
CARD_NUMBER
0.986842
0.967742
0.977199
155
150
2
5
COORDINATE
1
0.945652
0.972067
92
87
0
5
CVV
1
1
1
62
62
0
0
DATE
0.978308
0.983857
0.981075
2,292
2,255
50
37
EMAIL
1
0.995313
0.997651
1,280
1,274
0
6
EMPLOYEE_ID
0.962712
0.982699
0.972603
289
284
11
5
ETHNICITY
0.97463
0.976695
0.975661
472
461
12
11
GENDER
0.990476
0.985782
0.988124
211
208
2
3
IBAN
0.968
1
0.98374
121
121
4
0
INSURANCE_ID
0.980545
0.94382
0.961832
267
252
5
15
IP
0.993289
0.986667
0.989967
150
148
1
2
JOB_TITLE
0.898185
0.917742
0.907858
1,240
1,138
129
102
LICENSE
0.996933
0.981873
0.989346
331
325
1
6
LOCATION
0.96128
0.955852
0.958559
1,948
1,862
75
86
MARITAL
0.988636
0.988636
0.988636
176
174
2
2
MEDICAL_INFO
0.954248
0.948052
0.95114
154
146
7
8
MONEY
0.990347
0.994186
0.992263
516
513
5
3
NATIONALITY
0.979263
0.981524
0.980392
433
425
9
8
NATIONAL_ID
0.989189
0.983871
0.986523
186
183
2
3
ORGANIZATION
0.977513
0.976222
0.976867
3,028
2,956
68
72
PASSPORT
0.984733
0.977273
0.980989
132
129
2
3
PASSWORD
1
1
1
90
90
0
0
PERSON
0.993563
0.98352
0.988516
4,551
4,476
29
75
PHONE
0.9975
0.994186
0.99584
1,204
1,197
3
7
PIN
0.971963
0.990476
0.981132
105
104
3
1
PLATE
0.976744
0.984375
0.980545
256
252
6
4
PREFIX
0.945111
0.916805
0.930743
601
551
32
50
RELIGION
0.948454
1
0.973545
184
184
10
0
SWIFT
1
0.922581
0.959732
155
143
0
12