Datasets:
omneity-labs
/
lid-benchmark

Dataset card Data Studio Files
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1
model
large_stringclasses
10 values
benchmark
large_stringclasses
8 values
scope
large_stringclasses
5 values
accuracy
float64
0
0.97
f1_macro
float64
0
0.93
f1_weighted
float64
0
0.98
precision_macro
float64
0
0.94
recall_macro
float64
0
0.93
n_samples
int64
2.08k
373k
n_classes
int64
3
275
gherbal-v2
flores-devtest
full
0.1495
0.0588
0.0616
0.0442
0.1452
222,640
214
gherbal-v2
flores-devtest
v1
0.9312
0.6912
0.9352
0.7094
0.6883
34,408
34
gherbal-v2
flores-devtest
v2
0.889
0.7089
0.8952
0.7361
0.7073
37,444
36
gherbal-v2
flores-devtest
v3
0.3614
0.2188
0.245
0.1798
0.3254
92,092
90
gherbal-v2
flores-devtest
v4
0.162
0.0662
0.0697
0.05
0.1564
205,436
198
gherbal-v2
flores-dev
full
0.147
0.0571
0.0602
0.0429
0.1419
224,325
220
gherbal-v2
flores-dev
v1
0.9303
0.7056
0.9338
0.7244
0.7029
33,898
34
gherbal-v2
flores-dev
v2
0.8939
0.7267
0.8998
0.7524
0.7254
36,889
36
gherbal-v2
flores-dev
v3
0.3634
0.2195
0.2464
0.1802
0.3264
90,727
90
gherbal-v2
flores-dev
v4
0.1637
0.0667
0.0709
0.0504
0.1569
201,394
198
gherbal-v2
madar
full
0.5811
0.1944
0.5625
0.1991
0.2046
5,600
15
gherbal-v2
madar
v1
0.7487
0.1219
0.8069
0.135
0.1146
2,077
3
gherbal-v2
madar
v2
0.6411
0.2388
0.6449
0.2555
0.2402
5,076
11
gherbal-v2
madar
v3
0.6051
0.214
0.5954
0.2231
0.221
5,378
13
gherbal-v2
madar
v4
0.6051
0.214
0.5954
0.2231
0.221
5,378
13
gherbal-v2
gherbal-multi
full
0.7961
0.6377
0.8132
0.6733
0.6217
184,994
36
gherbal-v2
gherbal-multi
v1
0.7961
0.6377
0.8132
0.6733
0.6217
184,994
36
gherbal-v2
gherbal-multi
v2
0.7961
0.6377
0.8132
0.6733
0.6217
184,994
36
gherbal-v2
gherbal-multi
v3
0.7961
0.6377
0.8132
0.6733
0.6217
184,994
36
gherbal-v2
gherbal-multi
v4
0.7961
0.6377
0.8132
0.6733
0.6217
184,994
36
gherbal-v2
atlasia-lid
full
0.6561
0.1481
0.6199
0.152
0.1612
234,327
15
gherbal-v2
atlasia-lid
v1
0.9532
0.1099
0.9675
0.1156
0.1052
117,533
3
gherbal-v2
atlasia-lid
v2
0.7099
0.1683
0.6888
0.1795
0.1746
216,563
13
gherbal-v2
atlasia-lid
v3
0.6561
0.1481
0.6199
0.152
0.1612
234,327
15
gherbal-v2
atlasia-lid
v4
0.6561
0.1481
0.6199
0.152
0.1612
234,327
15
gherbal-v2
wili-2018
full
0.2374
0.1173
0.1296
0.0909
0.2149
62,000
124
gherbal-v2
wili-2018
v1
0.8921
0.6493
0.8854
0.668
0.6542
16,500
33
gherbal-v2
wili-2018
v2
0.8921
0.6493
0.8854
0.668
0.6542
16,500
33
gherbal-v2
wili-2018
v3
0.4673
0.288
0.3474
0.249
0.3874
31,500
63
gherbal-v2
wili-2018
v4
0.2374
0.1173
0.1296
0.0909
0.2149
62,000
124
gherbal-v2
commonlid
full
0.5934
0.1506
0.5493
0.1377
0.2193
373,230
101
gherbal-v2
commonlid
v1
0.8214
0.4535
0.8319
0.4579
0.5276
269,625
31
gherbal-v2
commonlid
v2
0.8213
0.4609
0.8318
0.4651
0.5436
269,667
33
gherbal-v2
commonlid
v3
0.6819
0.3297
0.6563
0.3168
0.4311
324,781
45
gherbal-v2
commonlid
v4
0.6158
0.1972
0.5777
0.1829
0.2778
359,646
77
gherbal-v2
bouquet
full
0.0986
0.0297
0.0313
0.0209
0.0935
289,300
275
gherbal-v2
bouquet
v1
0.8887
0.618
0.9064
0.6455
0.6059
31,560
30
gherbal-v2
bouquet
v2
0.8743
0.6304
0.8948
0.661
0.616
32,612
31
gherbal-v2
bouquet
v3
0.4302
0.266
0.3293
0.2295
0.3475
66,276
63
gherbal-v2
bouquet
v4
0.1869
0.084
0.0927
0.0643
0.1694
152,540
145
gherbal-v3
flores-devtest
full
0.3605
0.2412
0.2548
0.216
0.3427
222,640
214
gherbal-v3
flores-devtest
v1
0.9596
0.4516
0.9695
0.4583
0.447
34,408
34
gherbal-v3
flores-devtest
v2
0.9245
0.4648
0.9346
0.4745
0.4618
37,444
36
gherbal-v3
flores-devtest
v3
0.8716
0.739
0.8675
0.773
0.7435
92,092
90
gherbal-v3
flores-devtest
v4
0.3907
0.2679
0.2853
0.2429
0.3683
205,436
198
gherbal-v3
flores-dev
full
0.3581
0.2366
0.2514
0.2075
0.3384
224,325
220
gherbal-v3
flores-dev
v1
0.9719
0.4824
0.9789
0.4866
0.4789
33,898
34
gherbal-v3
flores-dev
v2
0.9526
0.5027
0.9595
0.5075
0.5005
36,889
36
gherbal-v3
flores-dev
v3
0.8854
0.7493
0.8813
0.7758
0.7533
90,727
90
gherbal-v3
flores-dev
v4
0.3989
0.273
0.2929
0.2443
0.3732
201,394
198
gherbal-v3
madar
full
0.5745
0.2402
0.5518
0.272
0.2442
5,600
15
gherbal-v3
madar
v1
0.7848
0.1387
0.8243
0.1506
0.1338
2,077
3
gherbal-v3
madar
v2
0.6328
0.2745
0.6315
0.3155
0.2687
5,076
11
gherbal-v3
madar
v3
0.5982
0.2704
0.5845
0.3122
0.2699
5,378
13
gherbal-v3
madar
v4
0.5982
0.2704
0.5845
0.3122
0.2699
5,378
13
gherbal-v3
gherbal-multi
full
0.8966
0.3534
0.9028
0.3562
0.3514
184,994
36
gherbal-v3
gherbal-multi
v1
0.8966
0.3534
0.9028
0.3562
0.3514
184,994
36
gherbal-v3
gherbal-multi
v2
0.8966
0.3534
0.9028
0.3562
0.3514
184,994
36
gherbal-v3
gherbal-multi
v3
0.8966
0.3534
0.9028
0.3562
0.3514
184,994
36
gherbal-v3
gherbal-multi
v4
0.8966
0.3534
0.9028
0.3562
0.3514
184,994
36
gherbal-v3
atlasia-lid
full
0.6561
0.108
0.6252
0.1132
0.1282
234,327
15
gherbal-v3
atlasia-lid
v1
0.937
0.0829
0.9505
0.0837
0.0821
117,533
3
gherbal-v3
atlasia-lid
v2
0.7098
0.1287
0.6939
0.1362
0.1456
216,563
13
gherbal-v3
atlasia-lid
v3
0.6561
0.108
0.6252
0.1132
0.1282
234,327
15
gherbal-v3
atlasia-lid
v4
0.6561
0.108
0.6252
0.1132
0.1282
234,327
15
gherbal-v3
wili-2018
full
0.4695
0.2834
0.3771
0.2544
0.3529
62,000
124
gherbal-v3
wili-2018
v1
0.9209
0.4191
0.9399
0.4316
0.4107
16,500
33
gherbal-v3
wili-2018
v2
0.9209
0.4191
0.9399
0.4316
0.4107
16,500
33
gherbal-v3
wili-2018
v3
0.9242
0.6842
0.934
0.7014
0.677
31,500
63
gherbal-v3
wili-2018
v4
0.4695
0.2834
0.3771
0.2544
0.3529
62,000
124
gherbal-v3
commonlid
full
0.7441
0.1718
0.7457
0.1667
0.2198
373,230
101
gherbal-v3
commonlid
v1
0.8627
0.2552
0.8926
0.2564
0.2863
269,625
31
gherbal-v3
commonlid
v2
0.8626
0.2584
0.8925
0.2593
0.2937
269,667
33
gherbal-v3
commonlid
v3
0.8551
0.2972
0.8828
0.3046
0.3426
324,781
45
gherbal-v3
commonlid
v4
0.7722
0.2075
0.7808
0.204
0.2589
359,646
77
gherbal-v3
bouquet
full
0.1914
0.0939
0.1086
0.083
0.1655
289,300
275
gherbal-v3
bouquet
v1
0.9479
0.3837
0.9593
0.3907
0.3792
31,560
30
gherbal-v3
bouquet
v2
0.9343
0.3921
0.9485
0.4008
0.3862
32,612
31
gherbal-v3
bouquet
v3
0.8356
0.5098
0.8497
0.5592
0.5014
66,276
63
gherbal-v3
bouquet
v4
0.3631
0.2106
0.2731
0.2004
0.28
152,540
145
gherbal-v4
flores-devtest
full
0.85
0.7693
0.8245
0.7712
0.7943
222,640
214
gherbal-v4
flores-devtest
v1
0.9591
0.3465
0.9682
0.3519
0.3432
34,408
34
gherbal-v4
flores-devtest
v2
0.9213
0.3487
0.9309
0.357
0.3466
37,444
36
gherbal-v4
flores-devtest
v3
0.8914
0.4411
0.8936
0.4612
0.4407
92,092
90
gherbal-v4
flores-devtest
v4
0.9212
0.8505
0.9187
0.8686
0.8537
205,436
198
gherbal-v4
flores-dev
full
0.8334
0.7485
0.801
0.745
0.7798
224,325
220
gherbal-v4
flores-dev
v1
0.9654
0.3558
0.9732
0.3601
0.3529
33,898
34
gherbal-v4
flores-dev
v2
0.9344
0.3559
0.9423
0.3619
0.3543
36,889
36
gherbal-v4
flores-dev
v3
0.9007
0.4625
0.9019
0.4816
0.4625
90,727
90
gherbal-v4
flores-dev
v4
0.9282
0.8565
0.9252
0.873
0.86
201,394
198
gherbal-v4
madar
full
0.6298
0.2608
0.6169
0.316
0.2712
5,600
15
gherbal-v4
madar
v1
0.8411
0.1574
0.8898
0.1672
0.1495
2,077
3
gherbal-v4
madar
v2
0.6629
0.2595
0.6682
0.3354
0.2465
5,076
11
gherbal-v4
madar
v3
0.6558
0.2953
0.6516
0.3682
0.2984
5,378
13
gherbal-v4
madar
v4
0.6558
0.2953
0.6516
0.3682
0.2984
5,378
13
gherbal-v4
gherbal-multi
full
0.8699
0.163
0.8964
0.1684
0.1583
184,994
36
gherbal-v4
gherbal-multi
v1
0.8699
0.163
0.8964
0.1684
0.1583
184,994
36
gherbal-v4
gherbal-multi
v2
0.8699
0.163
0.8964
0.1684
0.1583
184,994
36
gherbal-v4
gherbal-multi
v3
0.8699
0.163
0.8964
0.1684
0.1583
184,994
36
gherbal-v4
gherbal-multi
v4
0.8699
0.163
0.8964
0.1684
0.1583
184,994
36