SaylorTwift HF staff commited on
Commit
a0df837
1 Parent(s): 6863d16

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1351 -0
README.md ADDED
@@ -0,0 +1,1351 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of teilomillet/MiniMerlin-3B
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [teilomillet/MiniMerlin-3B](https://huggingface.co/teilomillet/MiniMerlin-3B)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
7
+ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
8
+ \ found as a specific split in each configuration, the split being named using the\
9
+ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
10
+ \nAn additional configuration \"results\" store all the aggregated results of the\
11
+ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
12
+ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
13
+ \nTo load the details from a run, you can for instance do the following:\n```python\n\
14
+ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_teilomillet__MiniMerlin-3B\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-16T15:00:53.060575](https://huggingface.co/datasets/open-llm-leaderboard/details_teilomillet__MiniMerlin-3B/blob/main/results_2023-12-16T15-00-53.060575.json)(note\
17
+ \ that their might be results for other tasks in the repos if successive evals didn't\
18
+ \ cover the same tasks. You find each in the results and the \"latest\" split for\
19
+ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.43207336851472694,\n\
20
+ \ \"acc_stderr\": 0.03462433250134428,\n \"acc_norm\": 0.4362304045175937,\n\
21
+ \ \"acc_norm_stderr\": 0.035382366587976055,\n \"mc1\": 0.28886168910648713,\n\
22
+ \ \"mc1_stderr\": 0.015866346401384308,\n \"mc2\": 0.4706617297468041,\n\
23
+ \ \"mc2_stderr\": 0.015095071415919299\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.38993174061433444,\n \"acc_stderr\": 0.014252959848892882,\n\
25
+ \ \"acc_norm\": 0.44368600682593856,\n \"acc_norm_stderr\": 0.014518421825670449\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.492531368253336,\n\
27
+ \ \"acc_stderr\": 0.004989224715784537,\n \"acc_norm\": 0.6656044612626967,\n\
28
+ \ \"acc_norm_stderr\": 0.0047081453934113915\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.0446196043338474,\n \
30
+ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.0446196043338474\n },\n\
31
+ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
32
+ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
33
+ \ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.4342105263157895,\n \"acc_stderr\": 0.04033565667848319,\n\
35
+ \ \"acc_norm\": 0.4342105263157895,\n \"acc_norm_stderr\": 0.04033565667848319\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.4,\n\
37
+ \ \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.4,\n \
38
+ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.5132075471698113,\n \"acc_stderr\": 0.03076213487450047,\n\
40
+ \ \"acc_norm\": 0.5132075471698113,\n \"acc_norm_stderr\": 0.03076213487450047\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4444444444444444,\n\
42
+ \ \"acc_stderr\": 0.04155319955593146,\n \"acc_norm\": 0.4444444444444444,\n\
43
+ \ \"acc_norm_stderr\": 0.04155319955593146\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
45
+ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
47
+ acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\"\
48
+ : 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
50
+ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3988439306358382,\n\
52
+ \ \"acc_stderr\": 0.037336266553835096,\n \"acc_norm\": 0.3988439306358382,\n\
53
+ \ \"acc_norm_stderr\": 0.037336266553835096\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.27450980392156865,\n \"acc_stderr\": 0.04440521906179326,\n\
55
+ \ \"acc_norm\": 0.27450980392156865,\n \"acc_norm_stderr\": 0.04440521906179326\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n\
58
+ \ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.3574468085106383,\n \"acc_stderr\": 0.03132941789476425,\n\
60
+ \ \"acc_norm\": 0.3574468085106383,\n \"acc_norm_stderr\": 0.03132941789476425\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\
62
+ \ \"acc_stderr\": 0.041424397194893624,\n \"acc_norm\": 0.2631578947368421,\n\
63
+ \ \"acc_norm_stderr\": 0.041424397194893624\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.4068965517241379,\n \"acc_stderr\": 0.040937939812662374,\n\
65
+ \ \"acc_norm\": 0.4068965517241379,\n \"acc_norm_stderr\": 0.040937939812662374\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.2698412698412698,\n \"acc_stderr\": 0.02286083830923207,\n \"\
68
+ acc_norm\": 0.2698412698412698,\n \"acc_norm_stderr\": 0.02286083830923207\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30158730158730157,\n\
70
+ \ \"acc_stderr\": 0.04104947269903394,\n \"acc_norm\": 0.30158730158730157,\n\
71
+ \ \"acc_norm_stderr\": 0.04104947269903394\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
73
+ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.5032258064516129,\n\
75
+ \ \"acc_stderr\": 0.028443414226438323,\n \"acc_norm\": 0.5032258064516129,\n\
76
+ \ \"acc_norm_stderr\": 0.028443414226438323\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
77
+ : {\n \"acc\": 0.3891625615763547,\n \"acc_stderr\": 0.03430462416103872,\n\
78
+ \ \"acc_norm\": 0.3891625615763547,\n \"acc_norm_stderr\": 0.03430462416103872\n\
79
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
80
+ \ \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\
81
+ : 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
82
+ : {\n \"acc\": 0.5212121212121212,\n \"acc_stderr\": 0.03900828913737302,\n\
83
+ \ \"acc_norm\": 0.5212121212121212,\n \"acc_norm_stderr\": 0.03900828913737302\n\
84
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
85
+ : 0.5252525252525253,\n \"acc_stderr\": 0.03557806245087314,\n \"\
86
+ acc_norm\": 0.5252525252525253,\n \"acc_norm_stderr\": 0.03557806245087314\n\
87
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
88
+ \ \"acc\": 0.5854922279792746,\n \"acc_stderr\": 0.03555300319557668,\n\
89
+ \ \"acc_norm\": 0.5854922279792746,\n \"acc_norm_stderr\": 0.03555300319557668\n\
90
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
91
+ \ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604235,\n \
92
+ \ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604235\n\
93
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
94
+ acc\": 0.25555555555555554,\n \"acc_stderr\": 0.026593939101844072,\n \
95
+ \ \"acc_norm\": 0.25555555555555554,\n \"acc_norm_stderr\": 0.026593939101844072\n\
96
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
97
+ \ \"acc\": 0.3949579831932773,\n \"acc_stderr\": 0.031753678460966245,\n\
98
+ \ \"acc_norm\": 0.3949579831932773,\n \"acc_norm_stderr\": 0.031753678460966245\n\
99
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
100
+ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\
101
+ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\
102
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
103
+ : 0.5908256880733945,\n \"acc_stderr\": 0.02108067026443373,\n \"\
104
+ acc_norm\": 0.5908256880733945,\n \"acc_norm_stderr\": 0.02108067026443373\n\
105
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
106
+ : 0.3472222222222222,\n \"acc_stderr\": 0.032468872436376486,\n \"\
107
+ acc_norm\": 0.3472222222222222,\n \"acc_norm_stderr\": 0.032468872436376486\n\
108
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
109
+ : 0.5196078431372549,\n \"acc_stderr\": 0.03506612560524866,\n \"\
110
+ acc_norm\": 0.5196078431372549,\n \"acc_norm_stderr\": 0.03506612560524866\n\
111
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
112
+ acc\": 0.5822784810126582,\n \"acc_stderr\": 0.032103530322412685,\n \
113
+ \ \"acc_norm\": 0.5822784810126582,\n \"acc_norm_stderr\": 0.032103530322412685\n\
114
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.39461883408071746,\n\
115
+ \ \"acc_stderr\": 0.03280400504755291,\n \"acc_norm\": 0.39461883408071746,\n\
116
+ \ \"acc_norm_stderr\": 0.03280400504755291\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
117
+ : {\n \"acc\": 0.5114503816793893,\n \"acc_stderr\": 0.043841400240780176,\n\
118
+ \ \"acc_norm\": 0.5114503816793893,\n \"acc_norm_stderr\": 0.043841400240780176\n\
119
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
120
+ \ 0.5867768595041323,\n \"acc_stderr\": 0.04495087843548408,\n \"\
121
+ acc_norm\": 0.5867768595041323,\n \"acc_norm_stderr\": 0.04495087843548408\n\
122
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.46296296296296297,\n\
123
+ \ \"acc_stderr\": 0.04820403072760628,\n \"acc_norm\": 0.46296296296296297,\n\
124
+ \ \"acc_norm_stderr\": 0.04820403072760628\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
125
+ : {\n \"acc\": 0.4539877300613497,\n \"acc_stderr\": 0.0391170190467718,\n\
126
+ \ \"acc_norm\": 0.4539877300613497,\n \"acc_norm_stderr\": 0.0391170190467718\n\
127
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2857142857142857,\n\
128
+ \ \"acc_stderr\": 0.042878587513404565,\n \"acc_norm\": 0.2857142857142857,\n\
129
+ \ \"acc_norm_stderr\": 0.042878587513404565\n },\n \"harness|hendrycksTest-management|5\"\
130
+ : {\n \"acc\": 0.5728155339805825,\n \"acc_stderr\": 0.04897957737781168,\n\
131
+ \ \"acc_norm\": 0.5728155339805825,\n \"acc_norm_stderr\": 0.04897957737781168\n\
132
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6623931623931624,\n\
133
+ \ \"acc_stderr\": 0.030980296992618558,\n \"acc_norm\": 0.6623931623931624,\n\
134
+ \ \"acc_norm_stderr\": 0.030980296992618558\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
135
+ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \
136
+ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \
137
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.4955300127713921,\n\
138
+ \ \"acc_stderr\": 0.017879248970584384,\n \"acc_norm\": 0.4955300127713921,\n\
139
+ \ \"acc_norm_stderr\": 0.017879248970584384\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
140
+ : {\n \"acc\": 0.45664739884393063,\n \"acc_stderr\": 0.026817718130348923,\n\
141
+ \ \"acc_norm\": 0.45664739884393063,\n \"acc_norm_stderr\": 0.026817718130348923\n\
142
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23128491620111732,\n\
143
+ \ \"acc_stderr\": 0.014102223623152579,\n \"acc_norm\": 0.23128491620111732,\n\
144
+ \ \"acc_norm_stderr\": 0.014102223623152579\n },\n \"harness|hendrycksTest-nutrition|5\"\
145
+ : {\n \"acc\": 0.5228758169934641,\n \"acc_stderr\": 0.028599936776089768,\n\
146
+ \ \"acc_norm\": 0.5228758169934641,\n \"acc_norm_stderr\": 0.028599936776089768\n\
147
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.4662379421221865,\n\
148
+ \ \"acc_stderr\": 0.02833327710956278,\n \"acc_norm\": 0.4662379421221865,\n\
149
+ \ \"acc_norm_stderr\": 0.02833327710956278\n },\n \"harness|hendrycksTest-prehistory|5\"\
150
+ : {\n \"acc\": 0.4444444444444444,\n \"acc_stderr\": 0.027648477877413327,\n\
151
+ \ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.027648477877413327\n\
152
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
153
+ acc\": 0.3120567375886525,\n \"acc_stderr\": 0.027640120545169927,\n \
154
+ \ \"acc_norm\": 0.3120567375886525,\n \"acc_norm_stderr\": 0.027640120545169927\n\
155
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3272490221642764,\n\
156
+ \ \"acc_stderr\": 0.011983819806464737,\n \"acc_norm\": 0.3272490221642764,\n\
157
+ \ \"acc_norm_stderr\": 0.011983819806464737\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
158
+ : {\n \"acc\": 0.33088235294117646,\n \"acc_stderr\": 0.02858270975389844,\n\
159
+ \ \"acc_norm\": 0.33088235294117646,\n \"acc_norm_stderr\": 0.02858270975389844\n\
160
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
161
+ acc\": 0.34967320261437906,\n \"acc_stderr\": 0.019291961895066368,\n \
162
+ \ \"acc_norm\": 0.34967320261437906,\n \"acc_norm_stderr\": 0.019291961895066368\n\
163
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.4909090909090909,\n\
164
+ \ \"acc_stderr\": 0.04788339768702862,\n \"acc_norm\": 0.4909090909090909,\n\
165
+ \ \"acc_norm_stderr\": 0.04788339768702862\n },\n \"harness|hendrycksTest-security_studies|5\"\
166
+ : {\n \"acc\": 0.5142857142857142,\n \"acc_stderr\": 0.03199615232806286,\n\
167
+ \ \"acc_norm\": 0.5142857142857142,\n \"acc_norm_stderr\": 0.03199615232806286\n\
168
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5771144278606966,\n\
169
+ \ \"acc_stderr\": 0.034932317774212816,\n \"acc_norm\": 0.5771144278606966,\n\
170
+ \ \"acc_norm_stderr\": 0.034932317774212816\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.62,\n \"acc_stderr\": 0.04878317312145632,\n \
172
+ \ \"acc_norm\": 0.62,\n \"acc_norm_stderr\": 0.04878317312145632\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4036144578313253,\n\
174
+ \ \"acc_stderr\": 0.038194861407583984,\n \"acc_norm\": 0.4036144578313253,\n\
175
+ \ \"acc_norm_stderr\": 0.038194861407583984\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.5029239766081871,\n \"acc_stderr\": 0.03834759370936839,\n\
177
+ \ \"acc_norm\": 0.5029239766081871,\n \"acc_norm_stderr\": 0.03834759370936839\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.28886168910648713,\n\
179
+ \ \"mc1_stderr\": 0.015866346401384308,\n \"mc2\": 0.4706617297468041,\n\
180
+ \ \"mc2_stderr\": 0.015095071415919299\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.6440410418310971,\n \"acc_stderr\": 0.013456740656273964\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.20166793025018953,\n \
183
+ \ \"acc_stderr\": 0.011052295889544378\n }\n}\n```"
184
+ repo_url: https://huggingface.co/teilomillet/MiniMerlin-3B
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: clementine@hf.co
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_16T15_00_53.060575
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-16T15-00-53.060575.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-16T15-00-53.060575.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_16T15_00_53.060575
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-16T15-00-53.060575.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-16T15-00-53.060575.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_16T15_00_53.060575
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-16T15-00-53.060575.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-16T15-00-53.060575.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_16T15_00_53.060575
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-00-53.060575.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-00-53.060575.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-00-53.060575.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-00-53.060575.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-00-53.060575.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-00-53.060575.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-00-53.060575.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-00-53.060575.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-00-53.060575.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-00-53.060575.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-00-53.060575.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-00-53.060575.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-00-53.060575.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-00-53.060575.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-00-53.060575.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-00-53.060575.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-00-53.060575.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-00-53.060575.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-00-53.060575.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-00-53.060575.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-00-53.060575.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-00-53.060575.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-00-53.060575.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-00-53.060575.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-00-53.060575.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-00-53.060575.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-00-53.060575.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-00-53.060575.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-00-53.060575.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-00-53.060575.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-00-53.060575.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-00-53.060575.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-00-53.060575.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-00-53.060575.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-00-53.060575.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-00-53.060575.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-00-53.060575.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-00-53.060575.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-00-53.060575.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-00-53.060575.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-00-53.060575.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-00-53.060575.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-00-53.060575.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-00-53.060575.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-00-53.060575.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-00-53.060575.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-00-53.060575.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-00-53.060575.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-00-53.060575.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-00-53.060575.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-00-53.060575.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-00-53.060575.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-00-53.060575.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-00-53.060575.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-00-53.060575.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-00-53.060575.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-00-53.060575.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-00-53.060575.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-00-53.060575.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-00-53.060575.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-00-53.060575.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-00-53.060575.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-00-53.060575.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-00-53.060575.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-00-53.060575.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-00-53.060575.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-00-53.060575.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-00-53.060575.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-00-53.060575.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-00-53.060575.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-00-53.060575.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-00-53.060575.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-00-53.060575.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-00-53.060575.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-00-53.060575.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-00-53.060575.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-00-53.060575.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-00-53.060575.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-00-53.060575.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-00-53.060575.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-00-53.060575.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-00-53.060575.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-00-53.060575.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-00-53.060575.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-00-53.060575.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-00-53.060575.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-00-53.060575.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-00-53.060575.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-00-53.060575.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-00-53.060575.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-00-53.060575.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-00-53.060575.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-00-53.060575.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-00-53.060575.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-00-53.060575.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-00-53.060575.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-00-53.060575.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-00-53.060575.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-00-53.060575.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-00-53.060575.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-00-53.060575.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-00-53.060575.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-00-53.060575.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-00-53.060575.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-00-53.060575.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-00-53.060575.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-00-53.060575.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-00-53.060575.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-00-53.060575.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-00-53.060575.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-00-53.060575.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-00-53.060575.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-00-53.060575.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-00-53.060575.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_16T15_00_53.060575
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-00-53.060575.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-00-53.060575.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_16T15_00_53.060575
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-00-53.060575.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-00-53.060575.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_16T15_00_53.060575
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-00-53.060575.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-00-53.060575.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_16T15_00_53.060575
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-00-53.060575.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-00-53.060575.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_16T15_00_53.060575
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-00-53.060575.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-00-53.060575.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_16T15_00_53.060575
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-00-53.060575.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-00-53.060575.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_16T15_00_53.060575
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-00-53.060575.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-00-53.060575.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_16T15_00_53.060575
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-00-53.060575.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-00-53.060575.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_16T15_00_53.060575
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-00-53.060575.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-00-53.060575.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_16T15_00_53.060575
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-00-53.060575.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-00-53.060575.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_16T15_00_53.060575
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-00-53.060575.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-00-53.060575.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_16T15_00_53.060575
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-00-53.060575.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-00-53.060575.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_16T15_00_53.060575
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-00-53.060575.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-00-53.060575.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_16T15_00_53.060575
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-00-53.060575.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-00-53.060575.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_16T15_00_53.060575
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-00-53.060575.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-00-53.060575.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_16T15_00_53.060575
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-00-53.060575.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-00-53.060575.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_16T15_00_53.060575
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-00-53.060575.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-00-53.060575.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_16T15_00_53.060575
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-00-53.060575.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-00-53.060575.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_16T15_00_53.060575
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-00-53.060575.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-00-53.060575.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_16T15_00_53.060575
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-00-53.060575.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-00-53.060575.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_16T15_00_53.060575
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-00-53.060575.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-00-53.060575.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_16T15_00_53.060575
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-00-53.060575.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-00-53.060575.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_16T15_00_53.060575
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-00-53.060575.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-00-53.060575.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_16T15_00_53.060575
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-00-53.060575.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-00-53.060575.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_16T15_00_53.060575
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-00-53.060575.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-00-53.060575.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_16T15_00_53.060575
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-00-53.060575.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-00-53.060575.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_16T15_00_53.060575
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-00-53.060575.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-00-53.060575.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_16T15_00_53.060575
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-00-53.060575.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-00-53.060575.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_16T15_00_53.060575
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-00-53.060575.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-00-53.060575.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_16T15_00_53.060575
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-00-53.060575.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-00-53.060575.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_16T15_00_53.060575
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-00-53.060575.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-00-53.060575.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_16T15_00_53.060575
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-00-53.060575.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-00-53.060575.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_16T15_00_53.060575
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-00-53.060575.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-00-53.060575.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_16T15_00_53.060575
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-00-53.060575.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-00-53.060575.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_16T15_00_53.060575
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-00-53.060575.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-00-53.060575.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_16T15_00_53.060575
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-00-53.060575.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-00-53.060575.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_16T15_00_53.060575
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-00-53.060575.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-00-53.060575.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_16T15_00_53.060575
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-00-53.060575.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-00-53.060575.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_16T15_00_53.060575
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-00-53.060575.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-00-53.060575.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_16T15_00_53.060575
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-00-53.060575.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-00-53.060575.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_16T15_00_53.060575
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-00-53.060575.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-00-53.060575.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_16T15_00_53.060575
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-00-53.060575.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-00-53.060575.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_16T15_00_53.060575
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-00-53.060575.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-00-53.060575.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_16T15_00_53.060575
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-00-53.060575.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-00-53.060575.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_16T15_00_53.060575
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-00-53.060575.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-00-53.060575.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_16T15_00_53.060575
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-00-53.060575.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-00-53.060575.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_16T15_00_53.060575
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-00-53.060575.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-00-53.060575.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_16T15_00_53.060575
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-00-53.060575.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-00-53.060575.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_16T15_00_53.060575
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-00-53.060575.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-00-53.060575.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_16T15_00_53.060575
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-00-53.060575.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-00-53.060575.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_16T15_00_53.060575
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-00-53.060575.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-00-53.060575.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_16T15_00_53.060575
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-00-53.060575.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-00-53.060575.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_16T15_00_53.060575
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-00-53.060575.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-00-53.060575.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_16T15_00_53.060575
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-00-53.060575.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-00-53.060575.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_16T15_00_53.060575
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-00-53.060575.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-00-53.060575.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_16T15_00_53.060575
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-00-53.060575.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-00-53.060575.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_16T15_00_53.060575
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-00-53.060575.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-00-53.060575.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_16T15_00_53.060575
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-00-53.060575.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-00-53.060575.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_16T15_00_53.060575
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-16T15-00-53.060575.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-16T15-00-53.060575.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_16T15_00_53.060575
807
+ path:
808
+ - results_2023-12-16T15-00-53.060575.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-16T15-00-53.060575.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of teilomillet/MiniMerlin-3B
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [teilomillet/MiniMerlin-3B](https://huggingface.co/teilomillet/MiniMerlin-3B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
+
820
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
+
822
+ The dataset has been created from 1 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.
823
+
824
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
825
+
826
+ To load the details from a run, you can for instance do the following:
827
+ ```python
828
+ from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_teilomillet__MiniMerlin-3B",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-16T15:00:53.060575](https://huggingface.co/datasets/open-llm-leaderboard/details_teilomillet__MiniMerlin-3B/blob/main/results_2023-12-16T15-00-53.060575.json)(note that their 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):
837
+
838
+ ```python
839
+ {
840
+ "all": {
841
+ "acc": 0.43207336851472694,
842
+ "acc_stderr": 0.03462433250134428,
843
+ "acc_norm": 0.4362304045175937,
844
+ "acc_norm_stderr": 0.035382366587976055,
845
+ "mc1": 0.28886168910648713,
846
+ "mc1_stderr": 0.015866346401384308,
847
+ "mc2": 0.4706617297468041,
848
+ "mc2_stderr": 0.015095071415919299
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.38993174061433444,
852
+ "acc_stderr": 0.014252959848892882,
853
+ "acc_norm": 0.44368600682593856,
854
+ "acc_norm_stderr": 0.014518421825670449
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.492531368253336,
858
+ "acc_stderr": 0.004989224715784537,
859
+ "acc_norm": 0.6656044612626967,
860
+ "acc_norm_stderr": 0.0047081453934113915
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.27,
864
+ "acc_stderr": 0.0446196043338474,
865
+ "acc_norm": 0.27,
866
+ "acc_norm_stderr": 0.0446196043338474
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.4222222222222222,
870
+ "acc_stderr": 0.04266763404099582,
871
+ "acc_norm": 0.4222222222222222,
872
+ "acc_norm_stderr": 0.04266763404099582
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.4342105263157895,
876
+ "acc_stderr": 0.04033565667848319,
877
+ "acc_norm": 0.4342105263157895,
878
+ "acc_norm_stderr": 0.04033565667848319
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.4,
882
+ "acc_stderr": 0.04923659639173309,
883
+ "acc_norm": 0.4,
884
+ "acc_norm_stderr": 0.04923659639173309
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.5132075471698113,
888
+ "acc_stderr": 0.03076213487450047,
889
+ "acc_norm": 0.5132075471698113,
890
+ "acc_norm_stderr": 0.03076213487450047
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.4444444444444444,
894
+ "acc_stderr": 0.04155319955593146,
895
+ "acc_norm": 0.4444444444444444,
896
+ "acc_norm_stderr": 0.04155319955593146
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.42,
900
+ "acc_stderr": 0.049604496374885836,
901
+ "acc_norm": 0.42,
902
+ "acc_norm_stderr": 0.049604496374885836
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.46,
906
+ "acc_stderr": 0.05009082659620332,
907
+ "acc_norm": 0.46,
908
+ "acc_norm_stderr": 0.05009082659620332
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.34,
912
+ "acc_stderr": 0.04760952285695235,
913
+ "acc_norm": 0.34,
914
+ "acc_norm_stderr": 0.04760952285695235
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.3988439306358382,
918
+ "acc_stderr": 0.037336266553835096,
919
+ "acc_norm": 0.3988439306358382,
920
+ "acc_norm_stderr": 0.037336266553835096
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.27450980392156865,
924
+ "acc_stderr": 0.04440521906179326,
925
+ "acc_norm": 0.27450980392156865,
926
+ "acc_norm_stderr": 0.04440521906179326
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.53,
930
+ "acc_stderr": 0.05016135580465919,
931
+ "acc_norm": 0.53,
932
+ "acc_norm_stderr": 0.05016135580465919
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.3574468085106383,
936
+ "acc_stderr": 0.03132941789476425,
937
+ "acc_norm": 0.3574468085106383,
938
+ "acc_norm_stderr": 0.03132941789476425
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.2631578947368421,
942
+ "acc_stderr": 0.041424397194893624,
943
+ "acc_norm": 0.2631578947368421,
944
+ "acc_norm_stderr": 0.041424397194893624
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.4068965517241379,
948
+ "acc_stderr": 0.040937939812662374,
949
+ "acc_norm": 0.4068965517241379,
950
+ "acc_norm_stderr": 0.040937939812662374
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.2698412698412698,
954
+ "acc_stderr": 0.02286083830923207,
955
+ "acc_norm": 0.2698412698412698,
956
+ "acc_norm_stderr": 0.02286083830923207
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.30158730158730157,
960
+ "acc_stderr": 0.04104947269903394,
961
+ "acc_norm": 0.30158730158730157,
962
+ "acc_norm_stderr": 0.04104947269903394
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.25,
966
+ "acc_stderr": 0.04351941398892446,
967
+ "acc_norm": 0.25,
968
+ "acc_norm_stderr": 0.04351941398892446
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.5032258064516129,
972
+ "acc_stderr": 0.028443414226438323,
973
+ "acc_norm": 0.5032258064516129,
974
+ "acc_norm_stderr": 0.028443414226438323
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.3891625615763547,
978
+ "acc_stderr": 0.03430462416103872,
979
+ "acc_norm": 0.3891625615763547,
980
+ "acc_norm_stderr": 0.03430462416103872
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.43,
984
+ "acc_stderr": 0.04975698519562428,
985
+ "acc_norm": 0.43,
986
+ "acc_norm_stderr": 0.04975698519562428
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.5212121212121212,
990
+ "acc_stderr": 0.03900828913737302,
991
+ "acc_norm": 0.5212121212121212,
992
+ "acc_norm_stderr": 0.03900828913737302
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.5252525252525253,
996
+ "acc_stderr": 0.03557806245087314,
997
+ "acc_norm": 0.5252525252525253,
998
+ "acc_norm_stderr": 0.03557806245087314
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.5854922279792746,
1002
+ "acc_stderr": 0.03555300319557668,
1003
+ "acc_norm": 0.5854922279792746,
1004
+ "acc_norm_stderr": 0.03555300319557668
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.4230769230769231,
1008
+ "acc_stderr": 0.02504919787604235,
1009
+ "acc_norm": 0.4230769230769231,
1010
+ "acc_norm_stderr": 0.02504919787604235
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.25555555555555554,
1014
+ "acc_stderr": 0.026593939101844072,
1015
+ "acc_norm": 0.25555555555555554,
1016
+ "acc_norm_stderr": 0.026593939101844072
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.3949579831932773,
1020
+ "acc_stderr": 0.031753678460966245,
1021
+ "acc_norm": 0.3949579831932773,
1022
+ "acc_norm_stderr": 0.031753678460966245
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.3576158940397351,
1026
+ "acc_stderr": 0.03913453431177258,
1027
+ "acc_norm": 0.3576158940397351,
1028
+ "acc_norm_stderr": 0.03913453431177258
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.5908256880733945,
1032
+ "acc_stderr": 0.02108067026443373,
1033
+ "acc_norm": 0.5908256880733945,
1034
+ "acc_norm_stderr": 0.02108067026443373
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.3472222222222222,
1038
+ "acc_stderr": 0.032468872436376486,
1039
+ "acc_norm": 0.3472222222222222,
1040
+ "acc_norm_stderr": 0.032468872436376486
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.5196078431372549,
1044
+ "acc_stderr": 0.03506612560524866,
1045
+ "acc_norm": 0.5196078431372549,
1046
+ "acc_norm_stderr": 0.03506612560524866
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.5822784810126582,
1050
+ "acc_stderr": 0.032103530322412685,
1051
+ "acc_norm": 0.5822784810126582,
1052
+ "acc_norm_stderr": 0.032103530322412685
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.39461883408071746,
1056
+ "acc_stderr": 0.03280400504755291,
1057
+ "acc_norm": 0.39461883408071746,
1058
+ "acc_norm_stderr": 0.03280400504755291
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.5114503816793893,
1062
+ "acc_stderr": 0.043841400240780176,
1063
+ "acc_norm": 0.5114503816793893,
1064
+ "acc_norm_stderr": 0.043841400240780176
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.5867768595041323,
1068
+ "acc_stderr": 0.04495087843548408,
1069
+ "acc_norm": 0.5867768595041323,
1070
+ "acc_norm_stderr": 0.04495087843548408
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.46296296296296297,
1074
+ "acc_stderr": 0.04820403072760628,
1075
+ "acc_norm": 0.46296296296296297,
1076
+ "acc_norm_stderr": 0.04820403072760628
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.4539877300613497,
1080
+ "acc_stderr": 0.0391170190467718,
1081
+ "acc_norm": 0.4539877300613497,
1082
+ "acc_norm_stderr": 0.0391170190467718
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.2857142857142857,
1086
+ "acc_stderr": 0.042878587513404565,
1087
+ "acc_norm": 0.2857142857142857,
1088
+ "acc_norm_stderr": 0.042878587513404565
1089
+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.5728155339805825,
1092
+ "acc_stderr": 0.04897957737781168,
1093
+ "acc_norm": 0.5728155339805825,
1094
+ "acc_norm_stderr": 0.04897957737781168
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.6623931623931624,
1098
+ "acc_stderr": 0.030980296992618558,
1099
+ "acc_norm": 0.6623931623931624,
1100
+ "acc_norm_stderr": 0.030980296992618558
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.47,
1104
+ "acc_stderr": 0.05016135580465919,
1105
+ "acc_norm": 0.47,
1106
+ "acc_norm_stderr": 0.05016135580465919
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.4955300127713921,
1110
+ "acc_stderr": 0.017879248970584384,
1111
+ "acc_norm": 0.4955300127713921,
1112
+ "acc_norm_stderr": 0.017879248970584384
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.45664739884393063,
1116
+ "acc_stderr": 0.026817718130348923,
1117
+ "acc_norm": 0.45664739884393063,
1118
+ "acc_norm_stderr": 0.026817718130348923
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.23128491620111732,
1122
+ "acc_stderr": 0.014102223623152579,
1123
+ "acc_norm": 0.23128491620111732,
1124
+ "acc_norm_stderr": 0.014102223623152579
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.5228758169934641,
1128
+ "acc_stderr": 0.028599936776089768,
1129
+ "acc_norm": 0.5228758169934641,
1130
+ "acc_norm_stderr": 0.028599936776089768
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.4662379421221865,
1134
+ "acc_stderr": 0.02833327710956278,
1135
+ "acc_norm": 0.4662379421221865,
1136
+ "acc_norm_stderr": 0.02833327710956278
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.4444444444444444,
1140
+ "acc_stderr": 0.027648477877413327,
1141
+ "acc_norm": 0.4444444444444444,
1142
+ "acc_norm_stderr": 0.027648477877413327
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.3120567375886525,
1146
+ "acc_stderr": 0.027640120545169927,
1147
+ "acc_norm": 0.3120567375886525,
1148
+ "acc_norm_stderr": 0.027640120545169927
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.3272490221642764,
1152
+ "acc_stderr": 0.011983819806464737,
1153
+ "acc_norm": 0.3272490221642764,
1154
+ "acc_norm_stderr": 0.011983819806464737
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.33088235294117646,
1158
+ "acc_stderr": 0.02858270975389844,
1159
+ "acc_norm": 0.33088235294117646,
1160
+ "acc_norm_stderr": 0.02858270975389844
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.34967320261437906,
1164
+ "acc_stderr": 0.019291961895066368,
1165
+ "acc_norm": 0.34967320261437906,
1166
+ "acc_norm_stderr": 0.019291961895066368
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.4909090909090909,
1170
+ "acc_stderr": 0.04788339768702862,
1171
+ "acc_norm": 0.4909090909090909,
1172
+ "acc_norm_stderr": 0.04788339768702862
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.5142857142857142,
1176
+ "acc_stderr": 0.03199615232806286,
1177
+ "acc_norm": 0.5142857142857142,
1178
+ "acc_norm_stderr": 0.03199615232806286
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.5771144278606966,
1182
+ "acc_stderr": 0.034932317774212816,
1183
+ "acc_norm": 0.5771144278606966,
1184
+ "acc_norm_stderr": 0.034932317774212816
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.62,
1188
+ "acc_stderr": 0.04878317312145632,
1189
+ "acc_norm": 0.62,
1190
+ "acc_norm_stderr": 0.04878317312145632
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.4036144578313253,
1194
+ "acc_stderr": 0.038194861407583984,
1195
+ "acc_norm": 0.4036144578313253,
1196
+ "acc_norm_stderr": 0.038194861407583984
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.5029239766081871,
1200
+ "acc_stderr": 0.03834759370936839,
1201
+ "acc_norm": 0.5029239766081871,
1202
+ "acc_norm_stderr": 0.03834759370936839
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.28886168910648713,
1206
+ "mc1_stderr": 0.015866346401384308,
1207
+ "mc2": 0.4706617297468041,
1208
+ "mc2_stderr": 0.015095071415919299
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.6440410418310971,
1212
+ "acc_stderr": 0.013456740656273964
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.20166793025018953,
1216
+ "acc_stderr": 0.011052295889544378
1217
+ }
1218
+ }
1219
+ ```
1220
+
1221
+ ## Dataset Details
1222
+
1223
+ ### Dataset Description
1224
+
1225
+ <!-- Provide a longer summary of what this dataset is. -->
1226
+
1227
+
1228
+
1229
+ - **Curated by:** [More Information Needed]
1230
+ - **Funded by [optional]:** [More Information Needed]
1231
+ - **Shared by [optional]:** [More Information Needed]
1232
+ - **Language(s) (NLP):** [More Information Needed]
1233
+ - **License:** [More Information Needed]
1234
+
1235
+ ### Dataset Sources [optional]
1236
+
1237
+ <!-- Provide the basic links for the dataset. -->
1238
+
1239
+ - **Repository:** [More Information Needed]
1240
+ - **Paper [optional]:** [More Information Needed]
1241
+ - **Demo [optional]:** [More Information Needed]
1242
+
1243
+ ## Uses
1244
+
1245
+ <!-- Address questions around how the dataset is intended to be used. -->
1246
+
1247
+ ### Direct Use
1248
+
1249
+ <!-- This section describes suitable use cases for the dataset. -->
1250
+
1251
+ [More Information Needed]
1252
+
1253
+ ### Out-of-Scope Use
1254
+
1255
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1256
+
1257
+ [More Information Needed]
1258
+
1259
+ ## Dataset Structure
1260
+
1261
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
1262
+
1263
+ [More Information Needed]
1264
+
1265
+ ## Dataset Creation
1266
+
1267
+ ### Curation Rationale
1268
+
1269
+ <!-- Motivation for the creation of this dataset. -->
1270
+
1271
+ [More Information Needed]
1272
+
1273
+ ### Source Data
1274
+
1275
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1276
+
1277
+ #### Data Collection and Processing
1278
+
1279
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1280
+
1281
+ [More Information Needed]
1282
+
1283
+ #### Who are the source data producers?
1284
+
1285
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
1286
+
1287
+ [More Information Needed]
1288
+
1289
+ ### Annotations [optional]
1290
+
1291
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1292
+
1293
+ #### Annotation process
1294
+
1295
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
1296
+
1297
+ [More Information Needed]
1298
+
1299
+ #### Who are the annotators?
1300
+
1301
+ <!-- This section describes the people or systems who created the annotations. -->
1302
+
1303
+ [More Information Needed]
1304
+
1305
+ #### Personal and Sensitive Information
1306
+
1307
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
1308
+
1309
+ [More Information Needed]
1310
+
1311
+ ## Bias, Risks, and Limitations
1312
+
1313
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1314
+
1315
+ [More Information Needed]
1316
+
1317
+ ### Recommendations
1318
+
1319
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1320
+
1321
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1322
+
1323
+ ## Citation [optional]
1324
+
1325
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1326
+
1327
+ **BibTeX:**
1328
+
1329
+ [More Information Needed]
1330
+
1331
+ **APA:**
1332
+
1333
+ [More Information Needed]
1334
+
1335
+ ## Glossary [optional]
1336
+
1337
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1338
+
1339
+ [More Information Needed]
1340
+
1341
+ ## More Information [optional]
1342
+
1343
+ [More Information Needed]
1344
+
1345
+ ## Dataset Card Authors [optional]
1346
+
1347
+ [More Information Needed]
1348
+
1349
+ ## Dataset Card Contact
1350
+
1351
+ [More Information Needed]