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1
  ---
2
- pretty_name: Evaluation run of openai/gemma-4-E4B-20260610190427-v2-bf16
3
  dataset_summary: "Dataset automatically created during the evaluation run of model\
4
- \ openai/gemma-4-E4B-20260610190427-v2-bf16\nThe dataset is composed of 53 configuration(s),\
5
  \ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
6
- \ from 30 run(s). Each run can be found as a specific split in each configuration,\
7
  \ the split being named using the timestamp of the run.The \"train\" split is always\
8
  \ pointing to the latest results.\n\nAn additional configuration \"results\" store\
9
  \ all the aggregated results of the run.\n\nTo load the details from a run, you\
10
  \ can for instance do the following:\n## Latest results\n\nThese are the [latest\
11
- \ results from run 2026-06-11T05-09-37.300579](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v2-bf16/results_2026-06-11T05-09-37.300579.json)\
12
  \ (note that there might be results for other tasks in the repos if successive evals\
13
  \ didn't cover the same tasks. You find each in the results and the \"latest\" split\
14
  \ for each eval):\n\n```python\n{\n \"all\": {\n \"mmlu_prox_de_nothink_biology\"\
15
  : {\n \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\"\
16
  : \"biology\",\n \"sample_len\": 717,\n \"exact_match,custom-extract\"\
17
- : 0.6485355648535565,\n \"exact_match_stderr,custom-extract\": 0.01784230997104475\n\
18
  \ },\n \"mmlu_prox_de_nothink_business\": {\n \"name\"\
19
  : \"mmlu_prox_de_nothink_business\",\n \"alias\": \"business\",\n \
20
- \ \"sample_len\": 789,\n \"exact_match,custom-extract\": 0.3929024081115336,\n\
21
- \ \"exact_match_stderr,custom-extract\": 0.017398367163733375\n \
22
- \ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"\
23
- mmlu_prox_de_nothink_chemistry\",\n \"alias\": \"chemistry\",\n \
24
- \ \"sample_len\": 1132,\n \"exact_match,custom-extract\": 0.23851590106007067,\n\
25
- \ \"exact_match_stderr,custom-extract\": 0.012672368278000414\n \
26
- \ },\n \"mmlu_prox_de_nothink_computer_science\": {\n \"name\"\
27
- : \"mmlu_prox_de_nothink_computer_science\",\n \"alias\": \"computer_science\"\
28
- ,\n \"sample_len\": 410,\n \"exact_match,custom-extract\"\
29
- : 0.43902439024390244,\n \"exact_match_stderr,custom-extract\": 0.024538875649248372\n\
30
- \ },\n \"mmlu_prox_de_nothink_economics\": {\n \"name\"\
31
- : \"mmlu_prox_de_nothink_economics\",\n \"alias\": \"economics\",\n \
32
- \ \"sample_len\": 844,\n \"exact_match,custom-extract\": 0.5213270142180095,\n\
33
- \ \"exact_match_stderr,custom-extract\": 0.01720524205149316\n \
34
- \ },\n \"mmlu_prox_de_nothink_engineering\": {\n \"name\": \"\
35
- mmlu_prox_de_nothink_engineering\",\n \"alias\": \"engineering\",\n \
36
- \ \"sample_len\": 969,\n \"exact_match,custom-extract\": 0.17543859649122806,\n\
37
- \ \"exact_match_stderr,custom-extract\": 0.012224648896934594\n \
38
- \ },\n \"mmlu_prox_de_nothink_health\": {\n \"name\": \"mmlu_prox_de_nothink_health\"\
39
- ,\n \"alias\": \"health\",\n \"sample_len\": 687,\n \
40
- \ \"exact_match,custom-extract\": 0.37700145560407566,\n \"exact_match_stderr,custom-extract\"\
41
- : 0.01850346110860866\n },\n \"mmlu_prox_de_nothink_history\": {\n\
42
- \ \"name\": \"mmlu_prox_de_nothink_history\",\n \"alias\"\
43
- : \"history\",\n \"sample_len\": 381,\n \"exact_match,custom-extract\"\
44
- : 0.34120734908136485,\n \"exact_match_stderr,custom-extract\": 0.024321578788686744\n\
45
- \ },\n \"mmlu_prox_de_nothink_law\": {\n \"name\": \"mmlu_prox_de_nothink_law\"\
46
- ,\n \"alias\": \"law\",\n \"sample_len\": 959,\n \
47
- \ \"exact_match,custom-extract\": 0.2283628779979145,\n \"exact_match_stderr,custom-extract\"\
48
- : 0.013562400205050151\n },\n \"mmlu_prox_de_nothink_math\": {\n \
49
- \ \"name\": \"mmlu_prox_de_nothink_math\",\n \"alias\": \"\
50
- math\",\n \"sample_len\": 1351,\n \"exact_match,custom-extract\"\
51
- : 0.4478164322723908,\n \"exact_match_stderr,custom-extract\": 0.013533959352220994\n\
52
- \ },\n \"mmlu_prox_de_nothink_other\": {\n \"name\": \"\
53
- mmlu_prox_de_nothink_other\",\n \"alias\": \"other\",\n \"\
54
- sample_len\": 924,\n \"exact_match,custom-extract\": 0.34523809523809523,\n\
55
- \ \"exact_match_stderr,custom-extract\": 0.01564949065573122\n \
56
- \ },\n \"mmlu_prox_de_nothink_philosophy\": {\n \"name\": \"\
57
- mmlu_prox_de_nothink_philosophy\",\n \"alias\": \"philosophy\",\n \
58
- \ \"sample_len\": 499,\n \"exact_match,custom-extract\": 0.33867735470941884,\n\
59
- \ \"exact_match_stderr,custom-extract\": 0.021207286583858273\n \
60
- \ },\n \"mmlu_prox_de_nothink_physics\": {\n \"name\": \"mmlu_prox_de_nothink_physics\"\
61
- ,\n \"alias\": \"physics\",\n \"sample_len\": 1299,\n \
62
- \ \"exact_match,custom-extract\": 0.28714395688991534,\n \"exact_match_stderr,custom-extract\"\
63
- : 0.012557795659551714\n },\n \"mmlu_prox_de_nothink_psychology\"\
64
- : {\n \"name\": \"mmlu_prox_de_nothink_psychology\",\n \"\
65
- alias\": \"psychology\",\n \"sample_len\": 798,\n \"exact_match,custom-extract\"\
66
- : 0.5037593984962406,\n \"exact_match_stderr,custom-extract\": 0.017710408048045963\n\
67
- \ },\n \"mmlu_prox_de_nothink\": {\n \"alias\": \"mmlu_prox_de_nothink\"\
68
  ,\n \"name\": \"mmlu_prox_de_nothink\",\n \"sample_len\":\
69
- \ 11759,\n \"exact_match,custom-extract\": 0.3666128072114976,\n \
70
- \ \"exact_match_stderr,custom-extract\": 0.0042927795031935485,\n \
71
  \ \"sample_count\": {\n \"exact_match,custom-extract\": 11759\n\
72
  \ }\n }\n },\n \"mmlu_prox_de_nothink_biology\": {\n \
73
  \ \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\": \"biology\"\
74
- ,\n \"sample_len\": 717,\n \"exact_match,custom-extract\": 0.6485355648535565,\n\
75
- \ \"exact_match_stderr,custom-extract\": 0.01784230997104475\n },\n \
76
- \ \"mmlu_prox_de_nothink_business\": {\n \"name\": \"mmlu_prox_de_nothink_business\"\
77
  ,\n \"alias\": \"business\",\n \"sample_len\": 789,\n \"exact_match,custom-extract\"\
78
- : 0.3929024081115336,\n \"exact_match_stderr,custom-extract\": 0.017398367163733375\n\
79
  \ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
80
  ,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \"\
81
- exact_match,custom-extract\": 0.23851590106007067,\n \"exact_match_stderr,custom-extract\"\
82
- : 0.012672368278000414\n },\n \"mmlu_prox_de_nothink_computer_science\": {\n\
83
  \ \"name\": \"mmlu_prox_de_nothink_computer_science\",\n \"alias\"\
84
  : \"computer_science\",\n \"sample_len\": 410,\n \"exact_match,custom-extract\"\
85
- : 0.43902439024390244,\n \"exact_match_stderr,custom-extract\": 0.024538875649248372\n\
86
  \ },\n \"mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
87
  ,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \"exact_match,custom-extract\"\
88
- : 0.5213270142180095,\n \"exact_match_stderr,custom-extract\": 0.01720524205149316\n\
89
  \ },\n \"mmlu_prox_de_nothink_engineering\": {\n \"name\": \"mmlu_prox_de_nothink_engineering\"\
90
  ,\n \"alias\": \"engineering\",\n \"sample_len\": 969,\n \"\
91
- exact_match,custom-extract\": 0.17543859649122806,\n \"exact_match_stderr,custom-extract\"\
92
- : 0.012224648896934594\n },\n \"mmlu_prox_de_nothink_health\": {\n \
93
- \ \"name\": \"mmlu_prox_de_nothink_health\",\n \"alias\": \"health\",\n \
94
- \ \"sample_len\": 687,\n \"exact_match,custom-extract\": 0.37700145560407566,\n\
95
- \ \"exact_match_stderr,custom-extract\": 0.01850346110860866\n },\n \
96
- \ \"mmlu_prox_de_nothink_history\": {\n \"name\": \"mmlu_prox_de_nothink_history\"\
97
  ,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \"exact_match,custom-extract\"\
98
- : 0.34120734908136485,\n \"exact_match_stderr,custom-extract\": 0.024321578788686744\n\
99
  \ },\n \"mmlu_prox_de_nothink_law\": {\n \"name\": \"mmlu_prox_de_nothink_law\"\
100
  ,\n \"alias\": \"law\",\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
101
- : 0.2283628779979145,\n \"exact_match_stderr,custom-extract\": 0.013562400205050151\n\
102
  \ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"mmlu_prox_de_nothink_math\"\
103
  ,\n \"alias\": \"math\",\n \"sample_len\": 1351,\n \"exact_match,custom-extract\"\
104
- : 0.4478164322723908,\n \"exact_match_stderr,custom-extract\": 0.013533959352220994\n\
105
  \ },\n \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
106
  ,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \"exact_match,custom-extract\"\
107
- : 0.34523809523809523,\n \"exact_match_stderr,custom-extract\": 0.01564949065573122\n\
108
  \ },\n \"mmlu_prox_de_nothink_philosophy\": {\n \"name\": \"mmlu_prox_de_nothink_philosophy\"\
109
  ,\n \"alias\": \"philosophy\",\n \"sample_len\": 499,\n \"\
110
- exact_match,custom-extract\": 0.33867735470941884,\n \"exact_match_stderr,custom-extract\"\
111
- : 0.021207286583858273\n },\n \"mmlu_prox_de_nothink_physics\": {\n \
112
  \ \"name\": \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n\
113
- \ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.28714395688991534,\n\
114
- \ \"exact_match_stderr,custom-extract\": 0.012557795659551714\n },\n \
115
- \ \"mmlu_prox_de_nothink_psychology\": {\n \"name\": \"mmlu_prox_de_nothink_psychology\"\
116
  ,\n \"alias\": \"psychology\",\n \"sample_len\": 798,\n \"\
117
- exact_match,custom-extract\": 0.5037593984962406,\n \"exact_match_stderr,custom-extract\"\
118
- : 0.017710408048045963\n },\n \"mmlu_prox_de_nothink\": {\n \"alias\"\
119
  : \"mmlu_prox_de_nothink\",\n \"name\": \"mmlu_prox_de_nothink\",\n \
120
- \ \"sample_len\": 11759,\n \"exact_match,custom-extract\": 0.3666128072114976,\n\
121
- \ \"exact_match_stderr,custom-extract\": 0.0042927795031935485,\n \
122
- \ \"sample_count\": {\n \"exact_match,custom-extract\": 11759\n \
123
- \ }\n }\n}\n```"
124
- repo_url: https://huggingface.co/openai/gemma-4-E4B-20260610190427-v2-bf16
125
  leaderboard_url: ''
126
  point_of_contact: ''
127
  configs:
@@ -133,6 +133,118 @@ configs:
133
  - split: latest
134
  path:
135
  - '**/samples_include_de_2026-06-10T22-32-58.767355.jsonl'
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
136
  - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__sb10k_de
137
  data_files:
138
  - split: 2026_06_10T22_35_22.260911
@@ -559,21 +671,21 @@ configs:
559
  - '**/samples_scala_de_2026-06-11T00-43-59.881898.jsonl'
560
  ---
561
 
562
- # Dataset Card for Evaluation run of openai/gemma-4-E4B-20260610190427-v2-bf16
563
 
564
  <!-- Provide a quick summary of the dataset. -->
565
 
566
- Dataset automatically created during the evaluation run of model openai/gemma-4-E4B-20260610190427-v2-bf16
567
- The dataset is composed of 53 configuration(s), each one corresponding to one of the evaluated task.
568
 
569
- The dataset has been created from 30 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
570
 
571
  An additional configuration "results" store all the aggregated results of the run.
572
 
573
  To load the details from a run, you can for instance do the following:
574
  ## Latest results
575
 
576
- These are the [latest results from run 2026-06-11T05-09-37.300579](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v2-bf16/results_2026-06-11T05-09-37.300579.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
577
 
578
  ```python
579
  {
@@ -582,106 +694,106 @@ These are the [latest results from run 2026-06-11T05-09-37.300579](https://huggi
582
  "name": "mmlu_prox_de_nothink_biology",
583
  "alias": "biology",
584
  "sample_len": 717,
585
- "exact_match,custom-extract": 0.6485355648535565,
586
- "exact_match_stderr,custom-extract": 0.01784230997104475
587
  },
588
  "mmlu_prox_de_nothink_business": {
589
  "name": "mmlu_prox_de_nothink_business",
590
  "alias": "business",
591
  "sample_len": 789,
592
- "exact_match,custom-extract": 0.3929024081115336,
593
- "exact_match_stderr,custom-extract": 0.017398367163733375
594
  },
595
  "mmlu_prox_de_nothink_chemistry": {
596
  "name": "mmlu_prox_de_nothink_chemistry",
597
  "alias": "chemistry",
598
  "sample_len": 1132,
599
- "exact_match,custom-extract": 0.23851590106007067,
600
- "exact_match_stderr,custom-extract": 0.012672368278000414
601
  },
602
  "mmlu_prox_de_nothink_computer_science": {
603
  "name": "mmlu_prox_de_nothink_computer_science",
604
  "alias": "computer_science",
605
  "sample_len": 410,
606
- "exact_match,custom-extract": 0.43902439024390244,
607
- "exact_match_stderr,custom-extract": 0.024538875649248372
608
  },
609
  "mmlu_prox_de_nothink_economics": {
610
  "name": "mmlu_prox_de_nothink_economics",
611
  "alias": "economics",
612
  "sample_len": 844,
613
- "exact_match,custom-extract": 0.5213270142180095,
614
- "exact_match_stderr,custom-extract": 0.01720524205149316
615
  },
616
  "mmlu_prox_de_nothink_engineering": {
617
  "name": "mmlu_prox_de_nothink_engineering",
618
  "alias": "engineering",
619
  "sample_len": 969,
620
- "exact_match,custom-extract": 0.17543859649122806,
621
- "exact_match_stderr,custom-extract": 0.012224648896934594
622
  },
623
  "mmlu_prox_de_nothink_health": {
624
  "name": "mmlu_prox_de_nothink_health",
625
  "alias": "health",
626
  "sample_len": 687,
627
- "exact_match,custom-extract": 0.37700145560407566,
628
- "exact_match_stderr,custom-extract": 0.01850346110860866
629
  },
630
  "mmlu_prox_de_nothink_history": {
631
  "name": "mmlu_prox_de_nothink_history",
632
  "alias": "history",
633
  "sample_len": 381,
634
- "exact_match,custom-extract": 0.34120734908136485,
635
- "exact_match_stderr,custom-extract": 0.024321578788686744
636
  },
637
  "mmlu_prox_de_nothink_law": {
638
  "name": "mmlu_prox_de_nothink_law",
639
  "alias": "law",
640
  "sample_len": 959,
641
- "exact_match,custom-extract": 0.2283628779979145,
642
- "exact_match_stderr,custom-extract": 0.013562400205050151
643
  },
644
  "mmlu_prox_de_nothink_math": {
645
  "name": "mmlu_prox_de_nothink_math",
646
  "alias": "math",
647
  "sample_len": 1351,
648
- "exact_match,custom-extract": 0.4478164322723908,
649
- "exact_match_stderr,custom-extract": 0.013533959352220994
650
  },
651
  "mmlu_prox_de_nothink_other": {
652
  "name": "mmlu_prox_de_nothink_other",
653
  "alias": "other",
654
  "sample_len": 924,
655
- "exact_match,custom-extract": 0.34523809523809523,
656
- "exact_match_stderr,custom-extract": 0.01564949065573122
657
  },
658
  "mmlu_prox_de_nothink_philosophy": {
659
  "name": "mmlu_prox_de_nothink_philosophy",
660
  "alias": "philosophy",
661
  "sample_len": 499,
662
- "exact_match,custom-extract": 0.33867735470941884,
663
- "exact_match_stderr,custom-extract": 0.021207286583858273
664
  },
665
  "mmlu_prox_de_nothink_physics": {
666
  "name": "mmlu_prox_de_nothink_physics",
667
  "alias": "physics",
668
  "sample_len": 1299,
669
- "exact_match,custom-extract": 0.28714395688991534,
670
- "exact_match_stderr,custom-extract": 0.012557795659551714
671
  },
672
  "mmlu_prox_de_nothink_psychology": {
673
  "name": "mmlu_prox_de_nothink_psychology",
674
  "alias": "psychology",
675
  "sample_len": 798,
676
- "exact_match,custom-extract": 0.5037593984962406,
677
- "exact_match_stderr,custom-extract": 0.017710408048045963
678
  },
679
  "mmlu_prox_de_nothink": {
680
  "alias": "mmlu_prox_de_nothink",
681
  "name": "mmlu_prox_de_nothink",
682
  "sample_len": 11759,
683
- "exact_match,custom-extract": 0.3666128072114976,
684
- "exact_match_stderr,custom-extract": 0.0042927795031935485,
685
  "sample_count": {
686
  "exact_match,custom-extract": 11759
687
  }
@@ -691,106 +803,106 @@ These are the [latest results from run 2026-06-11T05-09-37.300579](https://huggi
691
  "name": "mmlu_prox_de_nothink_biology",
692
  "alias": "biology",
693
  "sample_len": 717,
694
- "exact_match,custom-extract": 0.6485355648535565,
695
- "exact_match_stderr,custom-extract": 0.01784230997104475
696
  },
697
  "mmlu_prox_de_nothink_business": {
698
  "name": "mmlu_prox_de_nothink_business",
699
  "alias": "business",
700
  "sample_len": 789,
701
- "exact_match,custom-extract": 0.3929024081115336,
702
- "exact_match_stderr,custom-extract": 0.017398367163733375
703
  },
704
  "mmlu_prox_de_nothink_chemistry": {
705
  "name": "mmlu_prox_de_nothink_chemistry",
706
  "alias": "chemistry",
707
  "sample_len": 1132,
708
- "exact_match,custom-extract": 0.23851590106007067,
709
- "exact_match_stderr,custom-extract": 0.012672368278000414
710
  },
711
  "mmlu_prox_de_nothink_computer_science": {
712
  "name": "mmlu_prox_de_nothink_computer_science",
713
  "alias": "computer_science",
714
  "sample_len": 410,
715
- "exact_match,custom-extract": 0.43902439024390244,
716
- "exact_match_stderr,custom-extract": 0.024538875649248372
717
  },
718
  "mmlu_prox_de_nothink_economics": {
719
  "name": "mmlu_prox_de_nothink_economics",
720
  "alias": "economics",
721
  "sample_len": 844,
722
- "exact_match,custom-extract": 0.5213270142180095,
723
- "exact_match_stderr,custom-extract": 0.01720524205149316
724
  },
725
  "mmlu_prox_de_nothink_engineering": {
726
  "name": "mmlu_prox_de_nothink_engineering",
727
  "alias": "engineering",
728
  "sample_len": 969,
729
- "exact_match,custom-extract": 0.17543859649122806,
730
- "exact_match_stderr,custom-extract": 0.012224648896934594
731
  },
732
  "mmlu_prox_de_nothink_health": {
733
  "name": "mmlu_prox_de_nothink_health",
734
  "alias": "health",
735
  "sample_len": 687,
736
- "exact_match,custom-extract": 0.37700145560407566,
737
- "exact_match_stderr,custom-extract": 0.01850346110860866
738
  },
739
  "mmlu_prox_de_nothink_history": {
740
  "name": "mmlu_prox_de_nothink_history",
741
  "alias": "history",
742
  "sample_len": 381,
743
- "exact_match,custom-extract": 0.34120734908136485,
744
- "exact_match_stderr,custom-extract": 0.024321578788686744
745
  },
746
  "mmlu_prox_de_nothink_law": {
747
  "name": "mmlu_prox_de_nothink_law",
748
  "alias": "law",
749
  "sample_len": 959,
750
- "exact_match,custom-extract": 0.2283628779979145,
751
- "exact_match_stderr,custom-extract": 0.013562400205050151
752
  },
753
  "mmlu_prox_de_nothink_math": {
754
  "name": "mmlu_prox_de_nothink_math",
755
  "alias": "math",
756
  "sample_len": 1351,
757
- "exact_match,custom-extract": 0.4478164322723908,
758
- "exact_match_stderr,custom-extract": 0.013533959352220994
759
  },
760
  "mmlu_prox_de_nothink_other": {
761
  "name": "mmlu_prox_de_nothink_other",
762
  "alias": "other",
763
  "sample_len": 924,
764
- "exact_match,custom-extract": 0.34523809523809523,
765
- "exact_match_stderr,custom-extract": 0.01564949065573122
766
  },
767
  "mmlu_prox_de_nothink_philosophy": {
768
  "name": "mmlu_prox_de_nothink_philosophy",
769
  "alias": "philosophy",
770
  "sample_len": 499,
771
- "exact_match,custom-extract": 0.33867735470941884,
772
- "exact_match_stderr,custom-extract": 0.021207286583858273
773
  },
774
  "mmlu_prox_de_nothink_physics": {
775
  "name": "mmlu_prox_de_nothink_physics",
776
  "alias": "physics",
777
  "sample_len": 1299,
778
- "exact_match,custom-extract": 0.28714395688991534,
779
- "exact_match_stderr,custom-extract": 0.012557795659551714
780
  },
781
  "mmlu_prox_de_nothink_psychology": {
782
  "name": "mmlu_prox_de_nothink_psychology",
783
  "alias": "psychology",
784
  "sample_len": 798,
785
- "exact_match,custom-extract": 0.5037593984962406,
786
- "exact_match_stderr,custom-extract": 0.017710408048045963
787
  },
788
  "mmlu_prox_de_nothink": {
789
  "alias": "mmlu_prox_de_nothink",
790
  "name": "mmlu_prox_de_nothink",
791
  "sample_len": 11759,
792
- "exact_match,custom-extract": 0.3666128072114976,
793
- "exact_match_stderr,custom-extract": 0.0042927795031935485,
794
  "sample_count": {
795
  "exact_match,custom-extract": 11759
796
  }
 
1
  ---
2
+ pretty_name: Evaluation run of openai/gemma-4-E4B-20260610190427-v1-bf16
3
  dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ openai/gemma-4-E4B-20260610190427-v1-bf16\nThe dataset is composed of 67 configuration(s),\
5
  \ each one corresponding to one of the evaluated task.\n\nThe dataset has been created\
6
+ \ from 32 run(s). Each run can be found as a specific split in each configuration,\
7
  \ the split being named using the timestamp of the run.The \"train\" split is always\
8
  \ pointing to the latest results.\n\nAn additional configuration \"results\" store\
9
  \ all the aggregated results of the run.\n\nTo load the details from a run, you\
10
  \ can for instance do the following:\n## Latest results\n\nThese are the [latest\
11
+ \ results from run 2026-06-11T05-37-36.712298](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v1-bf16/results_2026-06-11T05-37-36.712298.json)\
12
  \ (note that there might be results for other tasks in the repos if successive evals\
13
  \ didn't cover the same tasks. You find each in the results and the \"latest\" split\
14
  \ for each eval):\n\n```python\n{\n \"all\": {\n \"mmlu_prox_de_nothink_biology\"\
15
  : {\n \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\"\
16
  : \"biology\",\n \"sample_len\": 717,\n \"exact_match,custom-extract\"\
17
+ : 0.6471408647140865,\n \"exact_match_stderr,custom-extract\": 0.017858442674663324\n\
18
  \ },\n \"mmlu_prox_de_nothink_business\": {\n \"name\"\
19
  : \"mmlu_prox_de_nothink_business\",\n \"alias\": \"business\",\n \
20
+ \ \"sample_len\": 789,\n \"exact_match,custom-extract\": 0.39543726235741444,\n\
21
+ \ \"exact_match_stderr,custom-extract\": 0.01741792333110886\n \
22
+ \ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
23
+ ,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \
24
+ \ \"exact_match,custom-extract\": 0.23233215547703182,\n \"\
25
+ exact_match_stderr,custom-extract\": 0.012557697961009957\n },\n \"\
26
+ mmlu_prox_de_nothink_computer_science\": {\n \"name\": \"mmlu_prox_de_nothink_computer_science\"\
27
+ ,\n \"alias\": \"computer_science\",\n \"sample_len\": 410,\n\
28
+ \ \"exact_match,custom-extract\": 0.4634146341463415,\n \"\
29
+ exact_match_stderr,custom-extract\": 0.02465713597594657\n },\n \"\
30
+ mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
31
+ ,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \
32
+ \ \"exact_match,custom-extract\": 0.5319905213270142,\n \"exact_match_stderr,custom-extract\"\
33
+ : 0.017185631068934174\n },\n \"mmlu_prox_de_nothink_engineering\"\
34
+ : {\n \"name\": \"mmlu_prox_de_nothink_engineering\",\n \"\
35
+ alias\": \"engineering\",\n \"sample_len\": 969,\n \"exact_match,custom-extract\"\
36
+ : 0.19607843137254902,\n \"exact_match_stderr,custom-extract\": 0.01276098133981857\n\
37
+ \ },\n \"mmlu_prox_de_nothink_health\": {\n \"name\": \"\
38
+ mmlu_prox_de_nothink_health\",\n \"alias\": \"health\",\n \
39
+ \ \"sample_len\": 687,\n \"exact_match,custom-extract\": 0.3682678311499272,\n\
40
+ \ \"exact_match_stderr,custom-extract\": 0.018415619388146082\n \
41
+ \ },\n \"mmlu_prox_de_nothink_history\": {\n \"name\": \"mmlu_prox_de_nothink_history\"\
42
+ ,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \
43
+ \ \"exact_match,custom-extract\": 0.35170603674540685,\n \"exact_match_stderr,custom-extract\"\
44
+ : 0.024495375528231108\n },\n \"mmlu_prox_de_nothink_law\": {\n \
45
+ \ \"name\": \"mmlu_prox_de_nothink_law\",\n \"alias\": \"law\"\
46
+ ,\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
47
+ : 0.205422314911366,\n \"exact_match_stderr,custom-extract\": 0.013052966909628755\n\
48
+ \ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"\
49
+ mmlu_prox_de_nothink_math\",\n \"alias\": \"math\",\n \"sample_len\"\
50
+ : 1351,\n \"exact_match,custom-extract\": 0.4537379718726869,\n \
51
+ \ \"exact_match_stderr,custom-extract\": 0.01354990295861251\n },\n\
52
+ \ \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
53
+ ,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \
54
+ \ \"exact_match,custom-extract\": 0.3430735930735931,\n \"exact_match_stderr,custom-extract\"\
55
+ : 0.015626119992246876\n },\n \"mmlu_prox_de_nothink_philosophy\"\
56
+ : {\n \"name\": \"mmlu_prox_de_nothink_philosophy\",\n \"\
57
+ alias\": \"philosophy\",\n \"sample_len\": 499,\n \"exact_match,custom-extract\"\
58
+ : 0.3186372745490982,\n \"exact_match_stderr,custom-extract\": 0.020879630252280033\n\
59
+ \ },\n \"mmlu_prox_de_nothink_physics\": {\n \"name\":\
60
+ \ \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n \
61
+ \ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.302540415704388,\n\
62
+ \ \"exact_match_stderr,custom-extract\": 0.01275010838860862\n \
63
+ \ },\n \"mmlu_prox_de_nothink_psychology\": {\n \"name\": \"\
64
+ mmlu_prox_de_nothink_psychology\",\n \"alias\": \"psychology\",\n \
65
+ \ \"sample_len\": 798,\n \"exact_match,custom-extract\": 0.5300751879699248,\n\
66
+ \ \"exact_match_stderr,custom-extract\": 0.017678840007925144\n \
67
+ \ },\n \"mmlu_prox_de_nothink\": {\n \"alias\": \"mmlu_prox_de_nothink\"\
68
  ,\n \"name\": \"mmlu_prox_de_nothink\",\n \"sample_len\":\
69
+ \ 11759,\n \"exact_match,custom-extract\": 0.37052470448167363,\n \
70
+ \ \"exact_match_stderr,custom-extract\": 0.004294092147584978,\n \
71
  \ \"sample_count\": {\n \"exact_match,custom-extract\": 11759\n\
72
  \ }\n }\n },\n \"mmlu_prox_de_nothink_biology\": {\n \
73
  \ \"name\": \"mmlu_prox_de_nothink_biology\",\n \"alias\": \"biology\"\
74
+ ,\n \"sample_len\": 717,\n \"exact_match,custom-extract\": 0.6471408647140865,\n\
75
+ \ \"exact_match_stderr,custom-extract\": 0.017858442674663324\n },\n \
76
+ \ \"mmlu_prox_de_nothink_business\": {\n \"name\": \"mmlu_prox_de_nothink_business\"\
77
  ,\n \"alias\": \"business\",\n \"sample_len\": 789,\n \"exact_match,custom-extract\"\
78
+ : 0.39543726235741444,\n \"exact_match_stderr,custom-extract\": 0.01741792333110886\n\
79
  \ },\n \"mmlu_prox_de_nothink_chemistry\": {\n \"name\": \"mmlu_prox_de_nothink_chemistry\"\
80
  ,\n \"alias\": \"chemistry\",\n \"sample_len\": 1132,\n \"\
81
+ exact_match,custom-extract\": 0.23233215547703182,\n \"exact_match_stderr,custom-extract\"\
82
+ : 0.012557697961009957\n },\n \"mmlu_prox_de_nothink_computer_science\": {\n\
83
  \ \"name\": \"mmlu_prox_de_nothink_computer_science\",\n \"alias\"\
84
  : \"computer_science\",\n \"sample_len\": 410,\n \"exact_match,custom-extract\"\
85
+ : 0.4634146341463415,\n \"exact_match_stderr,custom-extract\": 0.02465713597594657\n\
86
  \ },\n \"mmlu_prox_de_nothink_economics\": {\n \"name\": \"mmlu_prox_de_nothink_economics\"\
87
  ,\n \"alias\": \"economics\",\n \"sample_len\": 844,\n \"exact_match,custom-extract\"\
88
+ : 0.5319905213270142,\n \"exact_match_stderr,custom-extract\": 0.017185631068934174\n\
89
  \ },\n \"mmlu_prox_de_nothink_engineering\": {\n \"name\": \"mmlu_prox_de_nothink_engineering\"\
90
  ,\n \"alias\": \"engineering\",\n \"sample_len\": 969,\n \"\
91
+ exact_match,custom-extract\": 0.19607843137254902,\n \"exact_match_stderr,custom-extract\"\
92
+ : 0.01276098133981857\n },\n \"mmlu_prox_de_nothink_health\": {\n \"\
93
+ name\": \"mmlu_prox_de_nothink_health\",\n \"alias\": \"health\",\n \
94
+ \ \"sample_len\": 687,\n \"exact_match,custom-extract\": 0.3682678311499272,\n\
95
+ \ \"exact_match_stderr,custom-extract\": 0.018415619388146082\n },\n \
96
+ \ \"mmlu_prox_de_nothink_history\": {\n \"name\": \"mmlu_prox_de_nothink_history\"\
97
  ,\n \"alias\": \"history\",\n \"sample_len\": 381,\n \"exact_match,custom-extract\"\
98
+ : 0.35170603674540685,\n \"exact_match_stderr,custom-extract\": 0.024495375528231108\n\
99
  \ },\n \"mmlu_prox_de_nothink_law\": {\n \"name\": \"mmlu_prox_de_nothink_law\"\
100
  ,\n \"alias\": \"law\",\n \"sample_len\": 959,\n \"exact_match,custom-extract\"\
101
+ : 0.205422314911366,\n \"exact_match_stderr,custom-extract\": 0.013052966909628755\n\
102
  \ },\n \"mmlu_prox_de_nothink_math\": {\n \"name\": \"mmlu_prox_de_nothink_math\"\
103
  ,\n \"alias\": \"math\",\n \"sample_len\": 1351,\n \"exact_match,custom-extract\"\
104
+ : 0.4537379718726869,\n \"exact_match_stderr,custom-extract\": 0.01354990295861251\n\
105
  \ },\n \"mmlu_prox_de_nothink_other\": {\n \"name\": \"mmlu_prox_de_nothink_other\"\
106
  ,\n \"alias\": \"other\",\n \"sample_len\": 924,\n \"exact_match,custom-extract\"\
107
+ : 0.3430735930735931,\n \"exact_match_stderr,custom-extract\": 0.015626119992246876\n\
108
  \ },\n \"mmlu_prox_de_nothink_philosophy\": {\n \"name\": \"mmlu_prox_de_nothink_philosophy\"\
109
  ,\n \"alias\": \"philosophy\",\n \"sample_len\": 499,\n \"\
110
+ exact_match,custom-extract\": 0.3186372745490982,\n \"exact_match_stderr,custom-extract\"\
111
+ : 0.020879630252280033\n },\n \"mmlu_prox_de_nothink_physics\": {\n \
112
  \ \"name\": \"mmlu_prox_de_nothink_physics\",\n \"alias\": \"physics\",\n\
113
+ \ \"sample_len\": 1299,\n \"exact_match,custom-extract\": 0.302540415704388,\n\
114
+ \ \"exact_match_stderr,custom-extract\": 0.01275010838860862\n },\n \
115
+ \ \"mmlu_prox_de_nothink_psychology\": {\n \"name\": \"mmlu_prox_de_nothink_psychology\"\
116
  ,\n \"alias\": \"psychology\",\n \"sample_len\": 798,\n \"\
117
+ exact_match,custom-extract\": 0.5300751879699248,\n \"exact_match_stderr,custom-extract\"\
118
+ : 0.017678840007925144\n },\n \"mmlu_prox_de_nothink\": {\n \"alias\"\
119
  : \"mmlu_prox_de_nothink\",\n \"name\": \"mmlu_prox_de_nothink\",\n \
120
+ \ \"sample_len\": 11759,\n \"exact_match,custom-extract\": 0.37052470448167363,\n\
121
+ \ \"exact_match_stderr,custom-extract\": 0.004294092147584978,\n \"\
122
+ sample_count\": {\n \"exact_match,custom-extract\": 11759\n }\n\
123
+ \ }\n}\n```"
124
+ repo_url: https://huggingface.co/openai/gemma-4-E4B-20260610190427-v1-bf16
125
  leaderboard_url: ''
126
  point_of_contact: ''
127
  configs:
 
133
  - split: latest
134
  path:
135
  - '**/samples_include_de_2026-06-10T22-32-58.767355.jsonl'
136
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_biology
137
+ data_files:
138
+ - split: 2026_06_11T05_37_36.712298
139
+ path:
140
+ - '**/samples_mmlu_prox_de_nothink_biology_2026-06-11T05-37-36.712298.jsonl'
141
+ - split: latest
142
+ path:
143
+ - '**/samples_mmlu_prox_de_nothink_biology_2026-06-11T05-37-36.712298.jsonl'
144
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_business
145
+ data_files:
146
+ - split: 2026_06_11T05_37_36.712298
147
+ path:
148
+ - '**/samples_mmlu_prox_de_nothink_business_2026-06-11T05-37-36.712298.jsonl'
149
+ - split: latest
150
+ path:
151
+ - '**/samples_mmlu_prox_de_nothink_business_2026-06-11T05-37-36.712298.jsonl'
152
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_chemistry
153
+ data_files:
154
+ - split: 2026_06_11T05_37_36.712298
155
+ path:
156
+ - '**/samples_mmlu_prox_de_nothink_chemistry_2026-06-11T05-37-36.712298.jsonl'
157
+ - split: latest
158
+ path:
159
+ - '**/samples_mmlu_prox_de_nothink_chemistry_2026-06-11T05-37-36.712298.jsonl'
160
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_computer_science
161
+ data_files:
162
+ - split: 2026_06_11T05_37_36.712298
163
+ path:
164
+ - '**/samples_mmlu_prox_de_nothink_computer_science_2026-06-11T05-37-36.712298.jsonl'
165
+ - split: latest
166
+ path:
167
+ - '**/samples_mmlu_prox_de_nothink_computer_science_2026-06-11T05-37-36.712298.jsonl'
168
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_economics
169
+ data_files:
170
+ - split: 2026_06_11T05_37_36.712298
171
+ path:
172
+ - '**/samples_mmlu_prox_de_nothink_economics_2026-06-11T05-37-36.712298.jsonl'
173
+ - split: latest
174
+ path:
175
+ - '**/samples_mmlu_prox_de_nothink_economics_2026-06-11T05-37-36.712298.jsonl'
176
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_engineering
177
+ data_files:
178
+ - split: 2026_06_11T05_37_36.712298
179
+ path:
180
+ - '**/samples_mmlu_prox_de_nothink_engineering_2026-06-11T05-37-36.712298.jsonl'
181
+ - split: latest
182
+ path:
183
+ - '**/samples_mmlu_prox_de_nothink_engineering_2026-06-11T05-37-36.712298.jsonl'
184
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_health
185
+ data_files:
186
+ - split: 2026_06_11T05_37_36.712298
187
+ path:
188
+ - '**/samples_mmlu_prox_de_nothink_health_2026-06-11T05-37-36.712298.jsonl'
189
+ - split: latest
190
+ path:
191
+ - '**/samples_mmlu_prox_de_nothink_health_2026-06-11T05-37-36.712298.jsonl'
192
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_history
193
+ data_files:
194
+ - split: 2026_06_11T05_37_36.712298
195
+ path:
196
+ - '**/samples_mmlu_prox_de_nothink_history_2026-06-11T05-37-36.712298.jsonl'
197
+ - split: latest
198
+ path:
199
+ - '**/samples_mmlu_prox_de_nothink_history_2026-06-11T05-37-36.712298.jsonl'
200
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_law
201
+ data_files:
202
+ - split: 2026_06_11T05_37_36.712298
203
+ path:
204
+ - '**/samples_mmlu_prox_de_nothink_law_2026-06-11T05-37-36.712298.jsonl'
205
+ - split: latest
206
+ path:
207
+ - '**/samples_mmlu_prox_de_nothink_law_2026-06-11T05-37-36.712298.jsonl'
208
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_math
209
+ data_files:
210
+ - split: 2026_06_11T05_37_36.712298
211
+ path:
212
+ - '**/samples_mmlu_prox_de_nothink_math_2026-06-11T05-37-36.712298.jsonl'
213
+ - split: latest
214
+ path:
215
+ - '**/samples_mmlu_prox_de_nothink_math_2026-06-11T05-37-36.712298.jsonl'
216
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_other
217
+ data_files:
218
+ - split: 2026_06_11T05_37_36.712298
219
+ path:
220
+ - '**/samples_mmlu_prox_de_nothink_other_2026-06-11T05-37-36.712298.jsonl'
221
+ - split: latest
222
+ path:
223
+ - '**/samples_mmlu_prox_de_nothink_other_2026-06-11T05-37-36.712298.jsonl'
224
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_philosophy
225
+ data_files:
226
+ - split: 2026_06_11T05_37_36.712298
227
+ path:
228
+ - '**/samples_mmlu_prox_de_nothink_philosophy_2026-06-11T05-37-36.712298.jsonl'
229
+ - split: latest
230
+ path:
231
+ - '**/samples_mmlu_prox_de_nothink_philosophy_2026-06-11T05-37-36.712298.jsonl'
232
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_physics
233
+ data_files:
234
+ - split: 2026_06_11T05_37_36.712298
235
+ path:
236
+ - '**/samples_mmlu_prox_de_nothink_physics_2026-06-11T05-37-36.712298.jsonl'
237
+ - split: latest
238
+ path:
239
+ - '**/samples_mmlu_prox_de_nothink_physics_2026-06-11T05-37-36.712298.jsonl'
240
+ - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__mmlu_prox_de_nothink_psychology
241
+ data_files:
242
+ - split: 2026_06_11T05_37_36.712298
243
+ path:
244
+ - '**/samples_mmlu_prox_de_nothink_psychology_2026-06-11T05-37-36.712298.jsonl'
245
+ - split: latest
246
+ path:
247
+ - '**/samples_mmlu_prox_de_nothink_psychology_2026-06-11T05-37-36.712298.jsonl'
248
  - config_name: openai__gemma-4-E4B-20260610190427-v1-bf16__sb10k_de
249
  data_files:
250
  - split: 2026_06_10T22_35_22.260911
 
671
  - '**/samples_scala_de_2026-06-11T00-43-59.881898.jsonl'
672
  ---
673
 
674
+ # Dataset Card for Evaluation run of openai/gemma-4-E4B-20260610190427-v1-bf16
675
 
676
  <!-- Provide a quick summary of the dataset. -->
677
 
678
+ Dataset automatically created during the evaluation run of model openai/gemma-4-E4B-20260610190427-v1-bf16
679
+ The dataset is composed of 67 configuration(s), each one corresponding to one of the evaluated task.
680
 
681
+ The dataset has been created from 32 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
682
 
683
  An additional configuration "results" store all the aggregated results of the run.
684
 
685
  To load the details from a run, you can for instance do the following:
686
  ## Latest results
687
 
688
+ These are the [latest results from run 2026-06-11T05-37-36.712298](https://huggingface.co/datasets/peerbench/gemma4-results/blob/main/openai/gemma-4-E4B-20260610190427-v1-bf16/results_2026-06-11T05-37-36.712298.json) (note that there might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
689
 
690
  ```python
691
  {
 
694
  "name": "mmlu_prox_de_nothink_biology",
695
  "alias": "biology",
696
  "sample_len": 717,
697
+ "exact_match,custom-extract": 0.6471408647140865,
698
+ "exact_match_stderr,custom-extract": 0.017858442674663324
699
  },
700
  "mmlu_prox_de_nothink_business": {
701
  "name": "mmlu_prox_de_nothink_business",
702
  "alias": "business",
703
  "sample_len": 789,
704
+ "exact_match,custom-extract": 0.39543726235741444,
705
+ "exact_match_stderr,custom-extract": 0.01741792333110886
706
  },
707
  "mmlu_prox_de_nothink_chemistry": {
708
  "name": "mmlu_prox_de_nothink_chemistry",
709
  "alias": "chemistry",
710
  "sample_len": 1132,
711
+ "exact_match,custom-extract": 0.23233215547703182,
712
+ "exact_match_stderr,custom-extract": 0.012557697961009957
713
  },
714
  "mmlu_prox_de_nothink_computer_science": {
715
  "name": "mmlu_prox_de_nothink_computer_science",
716
  "alias": "computer_science",
717
  "sample_len": 410,
718
+ "exact_match,custom-extract": 0.4634146341463415,
719
+ "exact_match_stderr,custom-extract": 0.02465713597594657
720
  },
721
  "mmlu_prox_de_nothink_economics": {
722
  "name": "mmlu_prox_de_nothink_economics",
723
  "alias": "economics",
724
  "sample_len": 844,
725
+ "exact_match,custom-extract": 0.5319905213270142,
726
+ "exact_match_stderr,custom-extract": 0.017185631068934174
727
  },
728
  "mmlu_prox_de_nothink_engineering": {
729
  "name": "mmlu_prox_de_nothink_engineering",
730
  "alias": "engineering",
731
  "sample_len": 969,
732
+ "exact_match,custom-extract": 0.19607843137254902,
733
+ "exact_match_stderr,custom-extract": 0.01276098133981857
734
  },
735
  "mmlu_prox_de_nothink_health": {
736
  "name": "mmlu_prox_de_nothink_health",
737
  "alias": "health",
738
  "sample_len": 687,
739
+ "exact_match,custom-extract": 0.3682678311499272,
740
+ "exact_match_stderr,custom-extract": 0.018415619388146082
741
  },
742
  "mmlu_prox_de_nothink_history": {
743
  "name": "mmlu_prox_de_nothink_history",
744
  "alias": "history",
745
  "sample_len": 381,
746
+ "exact_match,custom-extract": 0.35170603674540685,
747
+ "exact_match_stderr,custom-extract": 0.024495375528231108
748
  },
749
  "mmlu_prox_de_nothink_law": {
750
  "name": "mmlu_prox_de_nothink_law",
751
  "alias": "law",
752
  "sample_len": 959,
753
+ "exact_match,custom-extract": 0.205422314911366,
754
+ "exact_match_stderr,custom-extract": 0.013052966909628755
755
  },
756
  "mmlu_prox_de_nothink_math": {
757
  "name": "mmlu_prox_de_nothink_math",
758
  "alias": "math",
759
  "sample_len": 1351,
760
+ "exact_match,custom-extract": 0.4537379718726869,
761
+ "exact_match_stderr,custom-extract": 0.01354990295861251
762
  },
763
  "mmlu_prox_de_nothink_other": {
764
  "name": "mmlu_prox_de_nothink_other",
765
  "alias": "other",
766
  "sample_len": 924,
767
+ "exact_match,custom-extract": 0.3430735930735931,
768
+ "exact_match_stderr,custom-extract": 0.015626119992246876
769
  },
770
  "mmlu_prox_de_nothink_philosophy": {
771
  "name": "mmlu_prox_de_nothink_philosophy",
772
  "alias": "philosophy",
773
  "sample_len": 499,
774
+ "exact_match,custom-extract": 0.3186372745490982,
775
+ "exact_match_stderr,custom-extract": 0.020879630252280033
776
  },
777
  "mmlu_prox_de_nothink_physics": {
778
  "name": "mmlu_prox_de_nothink_physics",
779
  "alias": "physics",
780
  "sample_len": 1299,
781
+ "exact_match,custom-extract": 0.302540415704388,
782
+ "exact_match_stderr,custom-extract": 0.01275010838860862
783
  },
784
  "mmlu_prox_de_nothink_psychology": {
785
  "name": "mmlu_prox_de_nothink_psychology",
786
  "alias": "psychology",
787
  "sample_len": 798,
788
+ "exact_match,custom-extract": 0.5300751879699248,
789
+ "exact_match_stderr,custom-extract": 0.017678840007925144
790
  },
791
  "mmlu_prox_de_nothink": {
792
  "alias": "mmlu_prox_de_nothink",
793
  "name": "mmlu_prox_de_nothink",
794
  "sample_len": 11759,
795
+ "exact_match,custom-extract": 0.37052470448167363,
796
+ "exact_match_stderr,custom-extract": 0.004294092147584978,
797
  "sample_count": {
798
  "exact_match,custom-extract": 11759
799
  }
 
803
  "name": "mmlu_prox_de_nothink_biology",
804
  "alias": "biology",
805
  "sample_len": 717,
806
+ "exact_match,custom-extract": 0.6471408647140865,
807
+ "exact_match_stderr,custom-extract": 0.017858442674663324
808
  },
809
  "mmlu_prox_de_nothink_business": {
810
  "name": "mmlu_prox_de_nothink_business",
811
  "alias": "business",
812
  "sample_len": 789,
813
+ "exact_match,custom-extract": 0.39543726235741444,
814
+ "exact_match_stderr,custom-extract": 0.01741792333110886
815
  },
816
  "mmlu_prox_de_nothink_chemistry": {
817
  "name": "mmlu_prox_de_nothink_chemistry",
818
  "alias": "chemistry",
819
  "sample_len": 1132,
820
+ "exact_match,custom-extract": 0.23233215547703182,
821
+ "exact_match_stderr,custom-extract": 0.012557697961009957
822
  },
823
  "mmlu_prox_de_nothink_computer_science": {
824
  "name": "mmlu_prox_de_nothink_computer_science",
825
  "alias": "computer_science",
826
  "sample_len": 410,
827
+ "exact_match,custom-extract": 0.4634146341463415,
828
+ "exact_match_stderr,custom-extract": 0.02465713597594657
829
  },
830
  "mmlu_prox_de_nothink_economics": {
831
  "name": "mmlu_prox_de_nothink_economics",
832
  "alias": "economics",
833
  "sample_len": 844,
834
+ "exact_match,custom-extract": 0.5319905213270142,
835
+ "exact_match_stderr,custom-extract": 0.017185631068934174
836
  },
837
  "mmlu_prox_de_nothink_engineering": {
838
  "name": "mmlu_prox_de_nothink_engineering",
839
  "alias": "engineering",
840
  "sample_len": 969,
841
+ "exact_match,custom-extract": 0.19607843137254902,
842
+ "exact_match_stderr,custom-extract": 0.01276098133981857
843
  },
844
  "mmlu_prox_de_nothink_health": {
845
  "name": "mmlu_prox_de_nothink_health",
846
  "alias": "health",
847
  "sample_len": 687,
848
+ "exact_match,custom-extract": 0.3682678311499272,
849
+ "exact_match_stderr,custom-extract": 0.018415619388146082
850
  },
851
  "mmlu_prox_de_nothink_history": {
852
  "name": "mmlu_prox_de_nothink_history",
853
  "alias": "history",
854
  "sample_len": 381,
855
+ "exact_match,custom-extract": 0.35170603674540685,
856
+ "exact_match_stderr,custom-extract": 0.024495375528231108
857
  },
858
  "mmlu_prox_de_nothink_law": {
859
  "name": "mmlu_prox_de_nothink_law",
860
  "alias": "law",
861
  "sample_len": 959,
862
+ "exact_match,custom-extract": 0.205422314911366,
863
+ "exact_match_stderr,custom-extract": 0.013052966909628755
864
  },
865
  "mmlu_prox_de_nothink_math": {
866
  "name": "mmlu_prox_de_nothink_math",
867
  "alias": "math",
868
  "sample_len": 1351,
869
+ "exact_match,custom-extract": 0.4537379718726869,
870
+ "exact_match_stderr,custom-extract": 0.01354990295861251
871
  },
872
  "mmlu_prox_de_nothink_other": {
873
  "name": "mmlu_prox_de_nothink_other",
874
  "alias": "other",
875
  "sample_len": 924,
876
+ "exact_match,custom-extract": 0.3430735930735931,
877
+ "exact_match_stderr,custom-extract": 0.015626119992246876
878
  },
879
  "mmlu_prox_de_nothink_philosophy": {
880
  "name": "mmlu_prox_de_nothink_philosophy",
881
  "alias": "philosophy",
882
  "sample_len": 499,
883
+ "exact_match,custom-extract": 0.3186372745490982,
884
+ "exact_match_stderr,custom-extract": 0.020879630252280033
885
  },
886
  "mmlu_prox_de_nothink_physics": {
887
  "name": "mmlu_prox_de_nothink_physics",
888
  "alias": "physics",
889
  "sample_len": 1299,
890
+ "exact_match,custom-extract": 0.302540415704388,
891
+ "exact_match_stderr,custom-extract": 0.01275010838860862
892
  },
893
  "mmlu_prox_de_nothink_psychology": {
894
  "name": "mmlu_prox_de_nothink_psychology",
895
  "alias": "psychology",
896
  "sample_len": 798,
897
+ "exact_match,custom-extract": 0.5300751879699248,
898
+ "exact_match_stderr,custom-extract": 0.017678840007925144
899
  },
900
  "mmlu_prox_de_nothink": {
901
  "alias": "mmlu_prox_de_nothink",
902
  "name": "mmlu_prox_de_nothink",
903
  "sample_len": 11759,
904
+ "exact_match,custom-extract": 0.37052470448167363,
905
+ "exact_match_stderr,custom-extract": 0.004294092147584978,
906
  "sample_count": {
907
  "exact_match,custom-extract": 11759
908
  }