Datasets:
omneity-labs
/
lid-benchmark

Dataset card Data Studio Files
xet
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1
model
large_stringclasses
17 values
benchmark
large_stringclasses
8 values
scope
large_stringclasses
6 values
accuracy
float64
0.09
1
f1_macro
float64
0.01
1
f1_weighted
float64
0.02
1
precision_macro
float64
0.01
1
recall_macro
float64
0.06
1
n_samples
int64
590
373k
n_classes
int64
1
275
elapsed_seconds
float64
0.02
798
samples_per_second
float64
320
280k
n_supported_languages
int64
36
2.1k
gherbal-v2
flores-devtest
full
0.151
0.0621
0.062
0.0465
0.1536
222,640
214
25.39
8,768.8
46
gherbal-v2
flores-devtest
v1
0.9312
0.9352
0.9352
0.9598
0.9312
34,408
34
25.39
8,768.8
46
gherbal-v2
flores-devtest
v2
0.889
0.9058
0.8952
0.9406
0.9038
37,444
36
25.39
8,768.8
46
gherbal-v2
flores-devtest
v3
0.3614
0.2431
0.245
0.1998
0.3615
92,092
90
25.39
8,768.8
46
gherbal-v2
flores-devtest
v4
0.1637
0.0702
0.0703
0.0529
0.166
205,436
198
25.39
8,768.8
46
gherbal-v2
flores-devtest
self
0.8744
0.8899
0.88
0.9225
0.8884
38,456
37
25.39
8,768.8
46
gherbal-v2
flores-dev
full
0.1483
0.06
0.0605
0.045
0.1497
224,325
220
24.81
9,041.7
46
gherbal-v2
flores-dev
v1
0.9303
0.9338
0.9338
0.9588
0.9303
33,898
34
24.81
9,041.7
46
gherbal-v2
flores-dev
v2
0.8939
0.9084
0.8998
0.9405
0.9068
36,889
36
24.81
9,041.7
46
gherbal-v2
flores-dev
v3
0.3634
0.2438
0.2464
0.2002
0.3627
90,727
90
24.81
9,041.7
46
gherbal-v2
flores-dev
v4
0.1652
0.0706
0.0713
0.0532
0.1664
201,394
198
24.81
9,041.7
46
gherbal-v2
flores-dev
self
0.8781
0.8911
0.8831
0.9209
0.8902
37,886
37
24.81
9,041.7
46
gherbal-v2
madar
full
0.5811
0.3499
0.5625
0.3583
0.3683
5,600
15
0.33
16,969.7
46
gherbal-v2
madar
v1
0.7487
0.8126
0.8069
0.8998
0.7639
2,077
3
0.33
16,969.7
46
gherbal-v2
madar
v2
0.6411
0.4993
0.6449
0.5342
0.5022
5,076
11
0.33
16,969.7
46
gherbal-v2
madar
v3
0.6051
0.4116
0.5954
0.429
0.4249
5,378
13
0.33
16,969.7
46
gherbal-v2
madar
v4
0.6051
0.4116
0.5954
0.429
0.4249
5,378
13
0.33
16,969.7
46
gherbal-v2
madar
self
0.6411
0.4993
0.6449
0.5342
0.5022
5,076
11
0.33
16,969.7
46
gherbal-v2
gherbal-multi
full
0.7961
0.8148
0.8132
0.8603
0.7945
184,994
36
14.18
13,046.1
46
gherbal-v2
gherbal-multi
v1
0.8055
0.8279
0.8263
0.877
0.8041
179,994
35
14.18
13,046.1
46
gherbal-v2
gherbal-multi
v2
0.8055
0.8279
0.8263
0.877
0.8041
179,994
35
14.18
13,046.1
46
gherbal-v2
gherbal-multi
v3
0.8055
0.8279
0.8263
0.877
0.8041
179,994
35
14.18
13,046.1
46
gherbal-v2
gherbal-multi
v4
0.7961
0.8148
0.8132
0.8603
0.7945
184,994
36
14.18
13,046.1
46
gherbal-v2
gherbal-multi
self
0.7961
0.8148
0.8132
0.8603
0.7945
184,994
36
14.18
13,046.1
46
gherbal-v2
atlasia-lid
full
0.6561
0.385
0.6199
0.3952
0.4191
234,327
15
149.18
1,570.8
46
gherbal-v2
atlasia-lid
v1
0.9532
0.9161
0.9675
0.9633
0.8768
117,533
3
149.18
1,570.8
46
gherbal-v2
atlasia-lid
v2
0.7099
0.466
0.6888
0.4971
0.4836
216,563
13
149.18
1,570.8
46
gherbal-v2
atlasia-lid
v3
0.6561
0.385
0.6199
0.3952
0.4191
234,327
15
149.18
1,570.8
46
gherbal-v2
atlasia-lid
v4
0.6561
0.385
0.6199
0.3952
0.4191
234,327
15
149.18
1,570.8
46
gherbal-v2
atlasia-lid
self
0.7099
0.466
0.6888
0.4971
0.4836
216,563
13
149.18
1,570.8
46
gherbal-v2
wili-2018
full
0.1277
0.049
0.0488
0.0362
0.1272
117,500
230
32.83
3,579
46
gherbal-v2
wili-2018
v1
0.9036
0.9033
0.9019
0.9296
0.9076
16,500
32
32.83
3,579
46
gherbal-v2
wili-2018
v2
0.9036
0.9033
0.9019
0.9296
0.9076
16,500
32
32.83
3,579
46
gherbal-v2
wili-2018
v3
0.4587
0.3417
0.3375
0.2938
0.461
32,500
63
32.83
3,579
46
gherbal-v2
wili-2018
v4
0.2175
0.1136
0.1127
0.0871
0.2183
69,000
134
32.83
3,579
46
gherbal-v2
wili-2018
self
0.8829
0.8773
0.8765
0.9024
0.8862
17,000
33
32.83
3,579
46
gherbal-v2
commonlid
full
0.5934
0.1667
0.5493
0.1524
0.2428
373,230
103
72.16
5,172.3
46
gherbal-v2
commonlid
v1
0.8532
0.7161
0.8689
0.7223
0.8033
257,022
30
72.16
5,172.3
46
gherbal-v2
commonlid
v2
0.8531
0.6821
0.8688
0.6874
0.776
257,064
32
72.16
5,172.3
46
gherbal-v2
commonlid
v3
0.8138
0.461
0.8168
0.4545
0.5518
269,480
45
72.16
5,172.3
46
gherbal-v2
commonlid
v4
0.6985
0.2384
0.6784
0.2277
0.3165
317,079
79
72.16
5,172.3
46
gherbal-v2
commonlid
self
0.8213
0.6425
0.8318
0.6483
0.7577
269,667
33
72.16
5,172.3
46
gherbal-v2
bouquet
full
0.1033
0.0325
0.0325
0.0227
0.1033
289,300
275
29.05
9,958.7
46
gherbal-v2
bouquet
v1
0.8913
0.9082
0.9082
0.9468
0.8913
32,612
31
29.05
9,958.7
46
gherbal-v2
bouquet
v2
0.8773
0.8968
0.8968
0.9384
0.8773
33,664
32
29.05
9,958.7
46
gherbal-v2
bouquet
v3
0.4387
0.3358
0.3358
0.2891
0.4387
67,328
64
29.05
9,958.7
46
gherbal-v2
bouquet
v4
0.1946
0.095
0.095
0.0723
0.1946
153,592
146
29.05
9,958.7
46
gherbal-v2
bouquet
self
0.8608
0.8806
0.8806
0.9208
0.8608
34,716
33
29.05
9,958.7
46
gherbal-v3
flores-devtest
full
0.3649
0.2593
0.2548
0.2316
0.3728
222,640
214
32.04
6,948.8
105
gherbal-v3
flores-devtest
v1
0.9596
0.9695
0.9695
0.9841
0.9596
34,408
34
32.04
6,948.8
105
gherbal-v3
flores-devtest
v2
0.9245
0.9426
0.9346
0.9622
0.9363
37,444
36
32.04
6,948.8
105
gherbal-v3
flores-devtest
v3
0.872
0.8706
0.8677
0.9103
0.8762
92,092
90
32.04
6,948.8
105
gherbal-v3
flores-devtest
v4
0.3954
0.2902
0.286
0.2623
0.4029
205,436
198
32.04
6,948.8
105
gherbal-v3
flores-devtest
self
0.8726
0.8708
0.868
0.9097
0.8767
93,104
91
32.04
6,948.8
105
gherbal-v3
flores-dev
full
0.3624
0.2537
0.2513
0.2219
0.3674
224,325
220
30.59
7,333.3
105
gherbal-v3
flores-dev
v1
0.9719
0.9789
0.9789
0.9876
0.9719
33,898
34
30.59
7,333.3
105
gherbal-v3
flores-dev
v2
0.9526
0.9635
0.9595
0.9726
0.9592
36,889
36
30.59
7,333.3
105
gherbal-v3
flores-dev
v3
0.886
0.8828
0.8815
0.9136
0.8879
90,727
90
30.59
7,333.3
105
gherbal-v3
flores-dev
v4
0.4037
0.2958
0.2937
0.2639
0.4082
201,394
198
30.59
7,333.3
105
gherbal-v3
flores-dev
self
0.8864
0.8829
0.8816
0.9131
0.8883
91,724
91
30.59
7,333.3
105
gherbal-v3
madar
full
0.5745
0.3363
0.5518
0.3808
0.3419
5,600
15
0.35
16,000
105
gherbal-v3
madar
v1
0.7848
0.8325
0.8243
0.9033
0.8029
2,077
3
0.35
16,000
105
gherbal-v3
madar
v2
0.6328
0.4742
0.6315
0.545
0.4641
5,076
11
0.35
16,000
105
gherbal-v3
madar
v3
0.5982
0.3952
0.5845
0.4562
0.3945
5,378
13
0.35
16,000
105
gherbal-v3
madar
v4
0.5982
0.3952
0.5845
0.4562
0.3945
5,378
13
0.35
16,000
105
gherbal-v3
madar
self
0.5982
0.3952
0.5845
0.4562
0.3945
5,378
13
0.35
16,000
105
gherbal-v3
gherbal-multi
full
0.8966
0.9031
0.9028
0.9103
0.898
184,994
36
17.02
10,869.2
105
gherbal-v3
gherbal-multi
v1
0.8957
0.9031
0.9028
0.9112
0.8971
179,994
35
17.02
10,869.2
105
gherbal-v3
gherbal-multi
v2
0.8957
0.9031
0.9028
0.9112
0.8971
179,994
35
17.02
10,869.2
105
gherbal-v3
gherbal-multi
v3
0.8957
0.9031
0.9028
0.9112
0.8971
179,994
35
17.02
10,869.2
105
gherbal-v3
gherbal-multi
v4
0.8966
0.9031
0.9028
0.9103
0.898
184,994
36
17.02
10,869.2
105
gherbal-v3
gherbal-multi
self
0.8966
0.9031
0.9028
0.9103
0.898
184,994
36
17.02
10,869.2
105
gherbal-v3
atlasia-lid
full
0.6561
0.3599
0.6252
0.3774
0.4273
234,327
15
158.92
1,474.5
105
gherbal-v3
atlasia-lid
v1
0.937
0.9115
0.9505
0.9203
0.9033
117,533
3
158.92
1,474.5
105
gherbal-v3
atlasia-lid
v2
0.7098
0.4356
0.6939
0.4609
0.4928
216,563
13
158.92
1,474.5
105
gherbal-v3
atlasia-lid
v3
0.6561
0.3599
0.6252
0.3774
0.4273
234,327
15
158.92
1,474.5
105
gherbal-v3
atlasia-lid
v4
0.6561
0.3599
0.6252
0.3774
0.4273
234,327
15
158.92
1,474.5
105
gherbal-v3
atlasia-lid
self
0.6561
0.3599
0.6252
0.3774
0.4273
234,327
15
158.92
1,474.5
105
gherbal-v3
wili-2018
full
0.2567
0.1574
0.1575
0.1276
0.2556
117,500
230
40.72
2,885.6
105
gherbal-v3
wili-2018
v1
0.9104
0.9356
0.9328
0.9659
0.9159
16,500
32
40.72
2,885.6
105
gherbal-v3
wili-2018
v2
0.9104
0.9356
0.9328
0.9659
0.9159
16,500
32
40.72
2,885.6
105
gherbal-v3
wili-2018
v3
0.915
0.9277
0.9247
0.9495
0.9197
32,500
63
40.72
2,885.6
105
gherbal-v3
wili-2018
v4
0.4371
0.3422
0.3409
0.3017
0.4388
69,000
134
40.72
2,885.6
105
gherbal-v3
wili-2018
self
0.914
0.9263
0.9235
0.9478
0.9186
33,000
64
40.72
2,885.6
105
gherbal-v3
commonlid
full
0.6418
0.263
0.6377
0.2539
0.3543
373,230
103
89.56
4,167.4
105
gherbal-v3
commonlid
v1
0.8653
0.7821
0.8948
0.785
0.8798
257,022
30
89.56
4,167.4
105
gherbal-v3
commonlid
v2
0.8652
0.7428
0.8947
0.7443
0.8465
257,064
32
89.56
4,167.4
105
gherbal-v3
commonlid
v3
0.8511
0.664
0.878
0.6847
0.7929
269,480
45
89.56
4,167.4
105
gherbal-v3
commonlid
v4
0.7555
0.3542
0.7606
0.3494
0.4619
317,079
79
89.56
4,167.4
105
gherbal-v3
commonlid
self
0.8492
0.6656
0.8766
0.6862
0.7932
282,083
46
89.56
4,167.4
105
gherbal-v3
bouquet
full
0.1998
0.111
0.111
0.0975
0.1998
289,300
275
35.98
8,040.6
105
gherbal-v3
bouquet
v1
0.9489
0.9597
0.9597
0.9762
0.9489
32,612
31
35.98
8,040.6
105
gherbal-v3
bouquet
v2
0.9356
0.9492
0.9492
0.9694
0.9356
33,664
32
35.98
8,040.6
105
gherbal-v3
bouquet
v3
0.8435
0.8547
0.8547
0.9313
0.8435
67,328
64
35.98
8,040.6
105
gherbal-v3
bouquet
v4
0.3763
0.278
0.278
0.2616
0.3763
153,592
146
35.98
8,040.6
105
gherbal-v3
bouquet
self
0.8452
0.8554
0.8554
0.9301
0.8452
68,380
65
35.98
8,040.6
105
gherbal-v4
flores-devtest
full
0.8523
0.8273
0.825
0.8287
0.856
222,640
214
38.06
5,849.7
212
gherbal-v4
flores-devtest
v1
0.9591
0.9682
0.9682
0.9832
0.9591
34,408
34
38.06
5,849.7
212
gherbal-v4
flores-devtest
v2
0.9213
0.9396
0.9309
0.9619
0.934
37,444
36
38.06
5,849.7
212
gherbal-v4
flores-devtest
v3
0.8916
0.8969
0.8936
0.9377
0.8964
92,092
90
38.06
5,849.7
212