Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_cognitivecomputations__yayi2-30b-llama

Dataset card Files Community
open-llm-bot commited on
Commit
68b2578
•
1 Parent(s): f67d8e2

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1352 -0
README.md ADDED
@@ -0,0 +1,1352 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of cognitivecomputations/yayi2-30b-llama
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [cognitivecomputations/yayi2-30b-llama](https://huggingface.co/cognitivecomputations/yayi2-30b-llama)\
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_cognitivecomputations__yayi2-30b-llama\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-01-10T16:19:39.763701](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__yayi2-30b-llama/blob/main/results_2024-01-10T16-19-39.763701.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\": 0.6858877636566363,\n\
20
+ \ \"acc_stderr\": 0.03180407855044079,\n \"acc_norm\": 0.6971813587179843,\n\
21
+ \ \"acc_norm_stderr\": 0.03247351510237223,\n \"mc1\": 0.32802937576499386,\n\
22
+ \ \"mc1_stderr\": 0.016435632932815025,\n \"mc2\": 0.4907923298242728,\n\
23
+ \ \"mc2_stderr\": 0.015239259549837077\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.33532423208191126,\n \"acc_stderr\": 0.013796182947785564,\n\
25
+ \ \"acc_norm\": 0.35665529010238906,\n \"acc_norm_stderr\": 0.013998056902620199\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.4402509460266879,\n\
27
+ \ \"acc_stderr\": 0.004954026775425773,\n \"acc_norm\": 0.5336586337382991,\n\
28
+ \ \"acc_norm_stderr\": 0.004978462690966908\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \
30
+ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \
32
+ \ \"acc_stderr\": 0.04232073695151589,\n \"acc_norm\": 0.6,\n \"\
33
+ acc_norm_stderr\": 0.04232073695151589\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.7960526315789473,\n \"acc_stderr\": 0.032790004063100515,\n\
35
+ \ \"acc_norm\": 0.7960526315789473,\n \"acc_norm_stderr\": 0.032790004063100515\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.79,\n\
37
+ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.79,\n \
38
+ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.7283018867924528,\n \"acc_stderr\": 0.027377706624670713,\n\
40
+ \ \"acc_norm\": 0.7283018867924528,\n \"acc_norm_stderr\": 0.027377706624670713\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6527777777777778,\n\
42
+ \ \"acc_stderr\": 0.039812405437178615,\n \"acc_norm\": 0.6527777777777778,\n\
43
+ \ \"acc_norm_stderr\": 0.039812405437178615\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \
45
+ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
46
+ \ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.74,\n\
47
+ \ \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.74,\n \
48
+ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237101,\n \
50
+ \ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.04943110704237101\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7052023121387283,\n\
52
+ \ \"acc_stderr\": 0.034765996075164785,\n \"acc_norm\": 0.7052023121387283,\n\
53
+ \ \"acc_norm_stderr\": 0.034765996075164785\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.04655010411319611,\n\
55
+ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.04655010411319611\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.8,\n \"acc_stderr\": 0.04020151261036846,\n \"acc_norm\": 0.8,\n\
58
+ \ \"acc_norm_stderr\": 0.04020151261036846\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.7063829787234043,\n \"acc_stderr\": 0.029771642712491227,\n\
60
+ \ \"acc_norm\": 0.7063829787234043,\n \"acc_norm_stderr\": 0.029771642712491227\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5964912280701754,\n\
62
+ \ \"acc_stderr\": 0.046151869625837054,\n \"acc_norm\": 0.5964912280701754,\n\
63
+ \ \"acc_norm_stderr\": 0.046151869625837054\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.7241379310344828,\n \"acc_stderr\": 0.037245636197746325,\n\
65
+ \ \"acc_norm\": 0.7241379310344828,\n \"acc_norm_stderr\": 0.037245636197746325\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.6534391534391535,\n \"acc_stderr\": 0.024508777521028424,\n \"\
68
+ acc_norm\": 0.6534391534391535,\n \"acc_norm_stderr\": 0.024508777521028424\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5476190476190477,\n\
70
+ \ \"acc_stderr\": 0.044518079590553275,\n \"acc_norm\": 0.5476190476190477,\n\
71
+ \ \"acc_norm_stderr\": 0.044518079590553275\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \
73
+ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
75
+ : 0.7161290322580646,\n \"acc_stderr\": 0.02564938106302926,\n \"\
76
+ acc_norm\": 0.7161290322580646,\n \"acc_norm_stderr\": 0.02564938106302926\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
78
+ : 0.6502463054187192,\n \"acc_stderr\": 0.03355400904969566,\n \"\
79
+ acc_norm\": 0.6502463054187192,\n \"acc_norm_stderr\": 0.03355400904969566\n\
80
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
81
+ \ \"acc\": 0.76,\n \"acc_stderr\": 0.04292346959909283,\n \"acc_norm\"\
82
+ : 0.76,\n \"acc_norm_stderr\": 0.04292346959909283\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
83
+ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\
84
+ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
86
+ : 0.8434343434343434,\n \"acc_stderr\": 0.025890520358141454,\n \"\
87
+ acc_norm\": 0.8434343434343434,\n \"acc_norm_stderr\": 0.025890520358141454\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
89
+ \ \"acc\": 0.7979274611398963,\n \"acc_stderr\": 0.028979089794296736,\n\
90
+ \ \"acc_norm\": 0.7979274611398963,\n \"acc_norm_stderr\": 0.028979089794296736\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
92
+ \ \"acc\": 0.7076923076923077,\n \"acc_stderr\": 0.023060438380857733,\n\
93
+ \ \"acc_norm\": 0.7076923076923077,\n \"acc_norm_stderr\": 0.023060438380857733\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
95
+ acc\": 0.5888888888888889,\n \"acc_stderr\": 0.02999992350870668,\n \
96
+ \ \"acc_norm\": 0.5888888888888889,\n \"acc_norm_stderr\": 0.02999992350870668\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
98
+ \ \"acc\": 0.7478991596638656,\n \"acc_stderr\": 0.028205545033277726,\n\
99
+ \ \"acc_norm\": 0.7478991596638656,\n \"acc_norm_stderr\": 0.028205545033277726\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
101
+ : 0.6688741721854304,\n \"acc_stderr\": 0.038425817186598696,\n \"\
102
+ acc_norm\": 0.6688741721854304,\n \"acc_norm_stderr\": 0.038425817186598696\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
104
+ : 0.744954128440367,\n \"acc_stderr\": 0.018688500856535856,\n \"\
105
+ acc_norm\": 0.744954128440367,\n \"acc_norm_stderr\": 0.018688500856535856\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
107
+ : 0.7037037037037037,\n \"acc_stderr\": 0.03114144782353604,\n \"\
108
+ acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.03114144782353604\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
110
+ : 0.7205882352941176,\n \"acc_stderr\": 0.03149328104507955,\n \"\
111
+ acc_norm\": 0.7205882352941176,\n \"acc_norm_stderr\": 0.03149328104507955\n\
112
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
113
+ acc\": 0.8354430379746836,\n \"acc_stderr\": 0.024135736240566932,\n \
114
+ \ \"acc_norm\": 0.8354430379746836,\n \"acc_norm_stderr\": 0.024135736240566932\n\
115
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7982062780269058,\n\
116
+ \ \"acc_stderr\": 0.026936111912802253,\n \"acc_norm\": 0.7982062780269058,\n\
117
+ \ \"acc_norm_stderr\": 0.026936111912802253\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
118
+ : {\n \"acc\": 0.7251908396946565,\n \"acc_stderr\": 0.03915345408847836,\n\
119
+ \ \"acc_norm\": 0.7251908396946565,\n \"acc_norm_stderr\": 0.03915345408847836\n\
120
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
121
+ \ 0.8347107438016529,\n \"acc_stderr\": 0.03390780612972776,\n \"\
122
+ acc_norm\": 0.8347107438016529,\n \"acc_norm_stderr\": 0.03390780612972776\n\
123
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7962962962962963,\n\
124
+ \ \"acc_stderr\": 0.03893542518824847,\n \"acc_norm\": 0.7962962962962963,\n\
125
+ \ \"acc_norm_stderr\": 0.03893542518824847\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
126
+ : {\n \"acc\": 0.6809815950920245,\n \"acc_stderr\": 0.03661997551073836,\n\
127
+ \ \"acc_norm\": 0.6809815950920245,\n \"acc_norm_stderr\": 0.03661997551073836\n\
128
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\
129
+ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\
130
+ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
131
+ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.039891398595317706,\n\
132
+ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.039891398595317706\n\
133
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8333333333333334,\n\
134
+ \ \"acc_stderr\": 0.024414947304543674,\n \"acc_norm\": 0.8333333333333334,\n\
135
+ \ \"acc_norm_stderr\": 0.024414947304543674\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
136
+ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \
137
+ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
138
+ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7471264367816092,\n\
139
+ \ \"acc_stderr\": 0.015543377313719681,\n \"acc_norm\": 0.7471264367816092,\n\
140
+ \ \"acc_norm_stderr\": 0.015543377313719681\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
141
+ : {\n \"acc\": 0.7774566473988439,\n \"acc_stderr\": 0.02239421566194282,\n\
142
+ \ \"acc_norm\": 0.7774566473988439,\n \"acc_norm_stderr\": 0.02239421566194282\n\
143
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5005586592178771,\n\
144
+ \ \"acc_stderr\": 0.01672249111407335,\n \"acc_norm\": 0.5005586592178771,\n\
145
+ \ \"acc_norm_stderr\": 0.01672249111407335\n },\n \"harness|hendrycksTest-nutrition|5\"\
146
+ : {\n \"acc\": 0.7712418300653595,\n \"acc_stderr\": 0.024051029739912255,\n\
147
+ \ \"acc_norm\": 0.7712418300653595,\n \"acc_norm_stderr\": 0.024051029739912255\n\
148
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7845659163987139,\n\
149
+ \ \"acc_stderr\": 0.023350225475471442,\n \"acc_norm\": 0.7845659163987139,\n\
150
+ \ \"acc_norm_stderr\": 0.023350225475471442\n },\n \"harness|hendrycksTest-prehistory|5\"\
151
+ : {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600713,\n\
152
+ \ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600713\n\
153
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
154
+ acc\": 0.6347517730496454,\n \"acc_stderr\": 0.028723863853281278,\n \
155
+ \ \"acc_norm\": 0.6347517730496454,\n \"acc_norm_stderr\": 0.028723863853281278\n\
156
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.6486310299869622,\n\
157
+ \ \"acc_stderr\": 0.01219296945748403,\n \"acc_norm\": 0.6486310299869622,\n\
158
+ \ \"acc_norm_stderr\": 0.01219296945748403\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
159
+ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.028418208619406755,\n\
160
+ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.028418208619406755\n\
161
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
162
+ acc\": 0.7173202614379085,\n \"acc_stderr\": 0.018217269552053435,\n \
163
+ \ \"acc_norm\": 0.7173202614379085,\n \"acc_norm_stderr\": 0.018217269552053435\n\
164
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7909090909090909,\n\
165
+ \ \"acc_stderr\": 0.03895091015724138,\n \"acc_norm\": 0.7909090909090909,\n\
166
+ \ \"acc_norm_stderr\": 0.03895091015724138\n },\n \"harness|hendrycksTest-security_studies|5\"\
167
+ : {\n \"acc\": 0.7877551020408163,\n \"acc_stderr\": 0.026176967197866767,\n\
168
+ \ \"acc_norm\": 0.7877551020408163,\n \"acc_norm_stderr\": 0.026176967197866767\n\
169
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8706467661691543,\n\
170
+ \ \"acc_stderr\": 0.023729830881018515,\n \"acc_norm\": 0.8706467661691543,\n\
171
+ \ \"acc_norm_stderr\": 0.023729830881018515\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
172
+ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \
173
+ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\n \
174
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.6265060240963856,\n\
175
+ \ \"acc_stderr\": 0.037658451171688624,\n \"acc_norm\": 0.6265060240963856,\n\
176
+ \ \"acc_norm_stderr\": 0.037658451171688624\n },\n \"harness|hendrycksTest-world_religions|5\"\
177
+ : {\n \"acc\": 0.695906432748538,\n \"acc_stderr\": 0.03528211258245232,\n\
178
+ \ \"acc_norm\": 0.695906432748538,\n \"acc_norm_stderr\": 0.03528211258245232\n\
179
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.32802937576499386,\n\
180
+ \ \"mc1_stderr\": 0.016435632932815025,\n \"mc2\": 0.4907923298242728,\n\
181
+ \ \"mc2_stderr\": 0.015239259549837077\n },\n \"harness|winogrande|5\"\
182
+ : {\n \"acc\": 0.6314127861089187,\n \"acc_stderr\": 0.013558447570099323\n\
183
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.18877937831690675,\n \
184
+ \ \"acc_stderr\": 0.010779262837202744\n }\n}\n```"
185
+ repo_url: https://huggingface.co/cognitivecomputations/yayi2-30b-llama
186
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
187
+ point_of_contact: clementine@hf.co
188
+ configs:
189
+ - config_name: harness_arc_challenge_25
190
+ data_files:
191
+ - split: 2024_01_10T16_19_39.763701
192
+ path:
193
+ - '**/details_harness|arc:challenge|25_2024-01-10T16-19-39.763701.parquet'
194
+ - split: latest
195
+ path:
196
+ - '**/details_harness|arc:challenge|25_2024-01-10T16-19-39.763701.parquet'
197
+ - config_name: harness_gsm8k_5
198
+ data_files:
199
+ - split: 2024_01_10T16_19_39.763701
200
+ path:
201
+ - '**/details_harness|gsm8k|5_2024-01-10T16-19-39.763701.parquet'
202
+ - split: latest
203
+ path:
204
+ - '**/details_harness|gsm8k|5_2024-01-10T16-19-39.763701.parquet'
205
+ - config_name: harness_hellaswag_10
206
+ data_files:
207
+ - split: 2024_01_10T16_19_39.763701
208
+ path:
209
+ - '**/details_harness|hellaswag|10_2024-01-10T16-19-39.763701.parquet'
210
+ - split: latest
211
+ path:
212
+ - '**/details_harness|hellaswag|10_2024-01-10T16-19-39.763701.parquet'
213
+ - config_name: harness_hendrycksTest_5
214
+ data_files:
215
+ - split: 2024_01_10T16_19_39.763701
216
+ path:
217
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-10T16-19-39.763701.parquet'
218
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-10T16-19-39.763701.parquet'
219
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-10T16-19-39.763701.parquet'
220
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-10T16-19-39.763701.parquet'
221
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-10T16-19-39.763701.parquet'
222
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-10T16-19-39.763701.parquet'
223
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-10T16-19-39.763701.parquet'
224
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-10T16-19-39.763701.parquet'
225
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-10T16-19-39.763701.parquet'
226
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-10T16-19-39.763701.parquet'
227
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-10T16-19-39.763701.parquet'
228
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-10T16-19-39.763701.parquet'
229
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-10T16-19-39.763701.parquet'
230
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-10T16-19-39.763701.parquet'
231
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-10T16-19-39.763701.parquet'
232
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-10T16-19-39.763701.parquet'
233
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-10T16-19-39.763701.parquet'
234
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-10T16-19-39.763701.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-10T16-19-39.763701.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-10T16-19-39.763701.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-10T16-19-39.763701.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-10T16-19-39.763701.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-10T16-19-39.763701.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-10T16-19-39.763701.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-10T16-19-39.763701.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-10T16-19-39.763701.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-10T16-19-39.763701.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-10T16-19-39.763701.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-10T16-19-39.763701.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-10T16-19-39.763701.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-10T16-19-39.763701.parquet'
248
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-10T16-19-39.763701.parquet'
249
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-10T16-19-39.763701.parquet'
250
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-10T16-19-39.763701.parquet'
251
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-10T16-19-39.763701.parquet'
252
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-10T16-19-39.763701.parquet'
253
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-10T16-19-39.763701.parquet'
254
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-10T16-19-39.763701.parquet'
255
+ - '**/details_harness|hendrycksTest-management|5_2024-01-10T16-19-39.763701.parquet'
256
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-10T16-19-39.763701.parquet'
257
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-10T16-19-39.763701.parquet'
258
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-10T16-19-39.763701.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-10T16-19-39.763701.parquet'
260
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-10T16-19-39.763701.parquet'
261
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-10T16-19-39.763701.parquet'
262
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-10T16-19-39.763701.parquet'
263
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-10T16-19-39.763701.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-10T16-19-39.763701.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-10T16-19-39.763701.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-10T16-19-39.763701.parquet'
267
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-10T16-19-39.763701.parquet'
268
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-10T16-19-39.763701.parquet'
269
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-10T16-19-39.763701.parquet'
270
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-10T16-19-39.763701.parquet'
271
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-10T16-19-39.763701.parquet'
272
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-10T16-19-39.763701.parquet'
273
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-10T16-19-39.763701.parquet'
274
+ - split: latest
275
+ path:
276
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-10T16-19-39.763701.parquet'
277
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-10T16-19-39.763701.parquet'
278
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-10T16-19-39.763701.parquet'
279
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-10T16-19-39.763701.parquet'
280
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-10T16-19-39.763701.parquet'
281
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-10T16-19-39.763701.parquet'
282
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-10T16-19-39.763701.parquet'
283
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-10T16-19-39.763701.parquet'
284
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-10T16-19-39.763701.parquet'
285
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-10T16-19-39.763701.parquet'
286
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-10T16-19-39.763701.parquet'
287
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-10T16-19-39.763701.parquet'
288
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-10T16-19-39.763701.parquet'
289
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-10T16-19-39.763701.parquet'
290
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-10T16-19-39.763701.parquet'
291
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-10T16-19-39.763701.parquet'
292
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-10T16-19-39.763701.parquet'
293
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-10T16-19-39.763701.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-10T16-19-39.763701.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-10T16-19-39.763701.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-10T16-19-39.763701.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-10T16-19-39.763701.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-10T16-19-39.763701.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-10T16-19-39.763701.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-10T16-19-39.763701.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-10T16-19-39.763701.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-10T16-19-39.763701.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-10T16-19-39.763701.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-10T16-19-39.763701.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-10T16-19-39.763701.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-10T16-19-39.763701.parquet'
307
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-10T16-19-39.763701.parquet'
308
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-10T16-19-39.763701.parquet'
309
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-10T16-19-39.763701.parquet'
310
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-10T16-19-39.763701.parquet'
311
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-10T16-19-39.763701.parquet'
312
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-10T16-19-39.763701.parquet'
313
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-10T16-19-39.763701.parquet'
314
+ - '**/details_harness|hendrycksTest-management|5_2024-01-10T16-19-39.763701.parquet'
315
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-10T16-19-39.763701.parquet'
316
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-10T16-19-39.763701.parquet'
317
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-10T16-19-39.763701.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-10T16-19-39.763701.parquet'
319
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-10T16-19-39.763701.parquet'
320
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-10T16-19-39.763701.parquet'
321
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-10T16-19-39.763701.parquet'
322
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-10T16-19-39.763701.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-10T16-19-39.763701.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-10T16-19-39.763701.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-10T16-19-39.763701.parquet'
326
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-10T16-19-39.763701.parquet'
327
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-10T16-19-39.763701.parquet'
328
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-10T16-19-39.763701.parquet'
329
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-10T16-19-39.763701.parquet'
330
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-10T16-19-39.763701.parquet'
331
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-10T16-19-39.763701.parquet'
332
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-10T16-19-39.763701.parquet'
333
+ - config_name: harness_hendrycksTest_abstract_algebra_5
334
+ data_files:
335
+ - split: 2024_01_10T16_19_39.763701
336
+ path:
337
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-10T16-19-39.763701.parquet'
338
+ - split: latest
339
+ path:
340
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-10T16-19-39.763701.parquet'
341
+ - config_name: harness_hendrycksTest_anatomy_5
342
+ data_files:
343
+ - split: 2024_01_10T16_19_39.763701
344
+ path:
345
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-10T16-19-39.763701.parquet'
346
+ - split: latest
347
+ path:
348
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-10T16-19-39.763701.parquet'
349
+ - config_name: harness_hendrycksTest_astronomy_5
350
+ data_files:
351
+ - split: 2024_01_10T16_19_39.763701
352
+ path:
353
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-10T16-19-39.763701.parquet'
354
+ - split: latest
355
+ path:
356
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-10T16-19-39.763701.parquet'
357
+ - config_name: harness_hendrycksTest_business_ethics_5
358
+ data_files:
359
+ - split: 2024_01_10T16_19_39.763701
360
+ path:
361
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-10T16-19-39.763701.parquet'
362
+ - split: latest
363
+ path:
364
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-10T16-19-39.763701.parquet'
365
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
366
+ data_files:
367
+ - split: 2024_01_10T16_19_39.763701
368
+ path:
369
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-10T16-19-39.763701.parquet'
370
+ - split: latest
371
+ path:
372
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-10T16-19-39.763701.parquet'
373
+ - config_name: harness_hendrycksTest_college_biology_5
374
+ data_files:
375
+ - split: 2024_01_10T16_19_39.763701
376
+ path:
377
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-10T16-19-39.763701.parquet'
378
+ - split: latest
379
+ path:
380
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-10T16-19-39.763701.parquet'
381
+ - config_name: harness_hendrycksTest_college_chemistry_5
382
+ data_files:
383
+ - split: 2024_01_10T16_19_39.763701
384
+ path:
385
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-10T16-19-39.763701.parquet'
386
+ - split: latest
387
+ path:
388
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-10T16-19-39.763701.parquet'
389
+ - config_name: harness_hendrycksTest_college_computer_science_5
390
+ data_files:
391
+ - split: 2024_01_10T16_19_39.763701
392
+ path:
393
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-10T16-19-39.763701.parquet'
394
+ - split: latest
395
+ path:
396
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-10T16-19-39.763701.parquet'
397
+ - config_name: harness_hendrycksTest_college_mathematics_5
398
+ data_files:
399
+ - split: 2024_01_10T16_19_39.763701
400
+ path:
401
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-10T16-19-39.763701.parquet'
402
+ - split: latest
403
+ path:
404
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-10T16-19-39.763701.parquet'
405
+ - config_name: harness_hendrycksTest_college_medicine_5
406
+ data_files:
407
+ - split: 2024_01_10T16_19_39.763701
408
+ path:
409
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-10T16-19-39.763701.parquet'
410
+ - split: latest
411
+ path:
412
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-10T16-19-39.763701.parquet'
413
+ - config_name: harness_hendrycksTest_college_physics_5
414
+ data_files:
415
+ - split: 2024_01_10T16_19_39.763701
416
+ path:
417
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-10T16-19-39.763701.parquet'
418
+ - split: latest
419
+ path:
420
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-10T16-19-39.763701.parquet'
421
+ - config_name: harness_hendrycksTest_computer_security_5
422
+ data_files:
423
+ - split: 2024_01_10T16_19_39.763701
424
+ path:
425
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-10T16-19-39.763701.parquet'
426
+ - split: latest
427
+ path:
428
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-10T16-19-39.763701.parquet'
429
+ - config_name: harness_hendrycksTest_conceptual_physics_5
430
+ data_files:
431
+ - split: 2024_01_10T16_19_39.763701
432
+ path:
433
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-10T16-19-39.763701.parquet'
434
+ - split: latest
435
+ path:
436
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-10T16-19-39.763701.parquet'
437
+ - config_name: harness_hendrycksTest_econometrics_5
438
+ data_files:
439
+ - split: 2024_01_10T16_19_39.763701
440
+ path:
441
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-10T16-19-39.763701.parquet'
442
+ - split: latest
443
+ path:
444
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-10T16-19-39.763701.parquet'
445
+ - config_name: harness_hendrycksTest_electrical_engineering_5
446
+ data_files:
447
+ - split: 2024_01_10T16_19_39.763701
448
+ path:
449
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-10T16-19-39.763701.parquet'
450
+ - split: latest
451
+ path:
452
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-10T16-19-39.763701.parquet'
453
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
454
+ data_files:
455
+ - split: 2024_01_10T16_19_39.763701
456
+ path:
457
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-10T16-19-39.763701.parquet'
458
+ - split: latest
459
+ path:
460
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-10T16-19-39.763701.parquet'
461
+ - config_name: harness_hendrycksTest_formal_logic_5
462
+ data_files:
463
+ - split: 2024_01_10T16_19_39.763701
464
+ path:
465
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-10T16-19-39.763701.parquet'
466
+ - split: latest
467
+ path:
468
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-10T16-19-39.763701.parquet'
469
+ - config_name: harness_hendrycksTest_global_facts_5
470
+ data_files:
471
+ - split: 2024_01_10T16_19_39.763701
472
+ path:
473
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-10T16-19-39.763701.parquet'
474
+ - split: latest
475
+ path:
476
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-10T16-19-39.763701.parquet'
477
+ - config_name: harness_hendrycksTest_high_school_biology_5
478
+ data_files:
479
+ - split: 2024_01_10T16_19_39.763701
480
+ path:
481
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-10T16-19-39.763701.parquet'
482
+ - split: latest
483
+ path:
484
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-10T16-19-39.763701.parquet'
485
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
486
+ data_files:
487
+ - split: 2024_01_10T16_19_39.763701
488
+ path:
489
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-10T16-19-39.763701.parquet'
490
+ - split: latest
491
+ path:
492
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-10T16-19-39.763701.parquet'
493
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
494
+ data_files:
495
+ - split: 2024_01_10T16_19_39.763701
496
+ path:
497
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-10T16-19-39.763701.parquet'
498
+ - split: latest
499
+ path:
500
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-10T16-19-39.763701.parquet'
501
+ - config_name: harness_hendrycksTest_high_school_european_history_5
502
+ data_files:
503
+ - split: 2024_01_10T16_19_39.763701
504
+ path:
505
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-10T16-19-39.763701.parquet'
506
+ - split: latest
507
+ path:
508
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-10T16-19-39.763701.parquet'
509
+ - config_name: harness_hendrycksTest_high_school_geography_5
510
+ data_files:
511
+ - split: 2024_01_10T16_19_39.763701
512
+ path:
513
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-10T16-19-39.763701.parquet'
514
+ - split: latest
515
+ path:
516
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-10T16-19-39.763701.parquet'
517
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
518
+ data_files:
519
+ - split: 2024_01_10T16_19_39.763701
520
+ path:
521
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-10T16-19-39.763701.parquet'
522
+ - split: latest
523
+ path:
524
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-10T16-19-39.763701.parquet'
525
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
526
+ data_files:
527
+ - split: 2024_01_10T16_19_39.763701
528
+ path:
529
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-10T16-19-39.763701.parquet'
530
+ - split: latest
531
+ path:
532
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-10T16-19-39.763701.parquet'
533
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
534
+ data_files:
535
+ - split: 2024_01_10T16_19_39.763701
536
+ path:
537
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-10T16-19-39.763701.parquet'
538
+ - split: latest
539
+ path:
540
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-10T16-19-39.763701.parquet'
541
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
542
+ data_files:
543
+ - split: 2024_01_10T16_19_39.763701
544
+ path:
545
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-10T16-19-39.763701.parquet'
546
+ - split: latest
547
+ path:
548
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-10T16-19-39.763701.parquet'
549
+ - config_name: harness_hendrycksTest_high_school_physics_5
550
+ data_files:
551
+ - split: 2024_01_10T16_19_39.763701
552
+ path:
553
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-10T16-19-39.763701.parquet'
554
+ - split: latest
555
+ path:
556
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-10T16-19-39.763701.parquet'
557
+ - config_name: harness_hendrycksTest_high_school_psychology_5
558
+ data_files:
559
+ - split: 2024_01_10T16_19_39.763701
560
+ path:
561
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-10T16-19-39.763701.parquet'
562
+ - split: latest
563
+ path:
564
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-10T16-19-39.763701.parquet'
565
+ - config_name: harness_hendrycksTest_high_school_statistics_5
566
+ data_files:
567
+ - split: 2024_01_10T16_19_39.763701
568
+ path:
569
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-10T16-19-39.763701.parquet'
570
+ - split: latest
571
+ path:
572
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-10T16-19-39.763701.parquet'
573
+ - config_name: harness_hendrycksTest_high_school_us_history_5
574
+ data_files:
575
+ - split: 2024_01_10T16_19_39.763701
576
+ path:
577
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-10T16-19-39.763701.parquet'
578
+ - split: latest
579
+ path:
580
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-10T16-19-39.763701.parquet'
581
+ - config_name: harness_hendrycksTest_high_school_world_history_5
582
+ data_files:
583
+ - split: 2024_01_10T16_19_39.763701
584
+ path:
585
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-10T16-19-39.763701.parquet'
586
+ - split: latest
587
+ path:
588
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-10T16-19-39.763701.parquet'
589
+ - config_name: harness_hendrycksTest_human_aging_5
590
+ data_files:
591
+ - split: 2024_01_10T16_19_39.763701
592
+ path:
593
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-10T16-19-39.763701.parquet'
594
+ - split: latest
595
+ path:
596
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-10T16-19-39.763701.parquet'
597
+ - config_name: harness_hendrycksTest_human_sexuality_5
598
+ data_files:
599
+ - split: 2024_01_10T16_19_39.763701
600
+ path:
601
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-10T16-19-39.763701.parquet'
602
+ - split: latest
603
+ path:
604
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-10T16-19-39.763701.parquet'
605
+ - config_name: harness_hendrycksTest_international_law_5
606
+ data_files:
607
+ - split: 2024_01_10T16_19_39.763701
608
+ path:
609
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-10T16-19-39.763701.parquet'
610
+ - split: latest
611
+ path:
612
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-10T16-19-39.763701.parquet'
613
+ - config_name: harness_hendrycksTest_jurisprudence_5
614
+ data_files:
615
+ - split: 2024_01_10T16_19_39.763701
616
+ path:
617
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-10T16-19-39.763701.parquet'
618
+ - split: latest
619
+ path:
620
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-10T16-19-39.763701.parquet'
621
+ - config_name: harness_hendrycksTest_logical_fallacies_5
622
+ data_files:
623
+ - split: 2024_01_10T16_19_39.763701
624
+ path:
625
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-10T16-19-39.763701.parquet'
626
+ - split: latest
627
+ path:
628
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-10T16-19-39.763701.parquet'
629
+ - config_name: harness_hendrycksTest_machine_learning_5
630
+ data_files:
631
+ - split: 2024_01_10T16_19_39.763701
632
+ path:
633
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-10T16-19-39.763701.parquet'
634
+ - split: latest
635
+ path:
636
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-10T16-19-39.763701.parquet'
637
+ - config_name: harness_hendrycksTest_management_5
638
+ data_files:
639
+ - split: 2024_01_10T16_19_39.763701
640
+ path:
641
+ - '**/details_harness|hendrycksTest-management|5_2024-01-10T16-19-39.763701.parquet'
642
+ - split: latest
643
+ path:
644
+ - '**/details_harness|hendrycksTest-management|5_2024-01-10T16-19-39.763701.parquet'
645
+ - config_name: harness_hendrycksTest_marketing_5
646
+ data_files:
647
+ - split: 2024_01_10T16_19_39.763701
648
+ path:
649
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-10T16-19-39.763701.parquet'
650
+ - split: latest
651
+ path:
652
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-10T16-19-39.763701.parquet'
653
+ - config_name: harness_hendrycksTest_medical_genetics_5
654
+ data_files:
655
+ - split: 2024_01_10T16_19_39.763701
656
+ path:
657
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-10T16-19-39.763701.parquet'
658
+ - split: latest
659
+ path:
660
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-10T16-19-39.763701.parquet'
661
+ - config_name: harness_hendrycksTest_miscellaneous_5
662
+ data_files:
663
+ - split: 2024_01_10T16_19_39.763701
664
+ path:
665
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-10T16-19-39.763701.parquet'
666
+ - split: latest
667
+ path:
668
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-10T16-19-39.763701.parquet'
669
+ - config_name: harness_hendrycksTest_moral_disputes_5
670
+ data_files:
671
+ - split: 2024_01_10T16_19_39.763701
672
+ path:
673
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-10T16-19-39.763701.parquet'
674
+ - split: latest
675
+ path:
676
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-10T16-19-39.763701.parquet'
677
+ - config_name: harness_hendrycksTest_moral_scenarios_5
678
+ data_files:
679
+ - split: 2024_01_10T16_19_39.763701
680
+ path:
681
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-10T16-19-39.763701.parquet'
682
+ - split: latest
683
+ path:
684
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-10T16-19-39.763701.parquet'
685
+ - config_name: harness_hendrycksTest_nutrition_5
686
+ data_files:
687
+ - split: 2024_01_10T16_19_39.763701
688
+ path:
689
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-10T16-19-39.763701.parquet'
690
+ - split: latest
691
+ path:
692
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-10T16-19-39.763701.parquet'
693
+ - config_name: harness_hendrycksTest_philosophy_5
694
+ data_files:
695
+ - split: 2024_01_10T16_19_39.763701
696
+ path:
697
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-10T16-19-39.763701.parquet'
698
+ - split: latest
699
+ path:
700
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-10T16-19-39.763701.parquet'
701
+ - config_name: harness_hendrycksTest_prehistory_5
702
+ data_files:
703
+ - split: 2024_01_10T16_19_39.763701
704
+ path:
705
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-10T16-19-39.763701.parquet'
706
+ - split: latest
707
+ path:
708
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-10T16-19-39.763701.parquet'
709
+ - config_name: harness_hendrycksTest_professional_accounting_5
710
+ data_files:
711
+ - split: 2024_01_10T16_19_39.763701
712
+ path:
713
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-10T16-19-39.763701.parquet'
714
+ - split: latest
715
+ path:
716
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-10T16-19-39.763701.parquet'
717
+ - config_name: harness_hendrycksTest_professional_law_5
718
+ data_files:
719
+ - split: 2024_01_10T16_19_39.763701
720
+ path:
721
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-10T16-19-39.763701.parquet'
722
+ - split: latest
723
+ path:
724
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-10T16-19-39.763701.parquet'
725
+ - config_name: harness_hendrycksTest_professional_medicine_5
726
+ data_files:
727
+ - split: 2024_01_10T16_19_39.763701
728
+ path:
729
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-10T16-19-39.763701.parquet'
730
+ - split: latest
731
+ path:
732
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-10T16-19-39.763701.parquet'
733
+ - config_name: harness_hendrycksTest_professional_psychology_5
734
+ data_files:
735
+ - split: 2024_01_10T16_19_39.763701
736
+ path:
737
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-10T16-19-39.763701.parquet'
738
+ - split: latest
739
+ path:
740
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-10T16-19-39.763701.parquet'
741
+ - config_name: harness_hendrycksTest_public_relations_5
742
+ data_files:
743
+ - split: 2024_01_10T16_19_39.763701
744
+ path:
745
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-10T16-19-39.763701.parquet'
746
+ - split: latest
747
+ path:
748
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-10T16-19-39.763701.parquet'
749
+ - config_name: harness_hendrycksTest_security_studies_5
750
+ data_files:
751
+ - split: 2024_01_10T16_19_39.763701
752
+ path:
753
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-10T16-19-39.763701.parquet'
754
+ - split: latest
755
+ path:
756
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-10T16-19-39.763701.parquet'
757
+ - config_name: harness_hendrycksTest_sociology_5
758
+ data_files:
759
+ - split: 2024_01_10T16_19_39.763701
760
+ path:
761
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-10T16-19-39.763701.parquet'
762
+ - split: latest
763
+ path:
764
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-10T16-19-39.763701.parquet'
765
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
766
+ data_files:
767
+ - split: 2024_01_10T16_19_39.763701
768
+ path:
769
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-10T16-19-39.763701.parquet'
770
+ - split: latest
771
+ path:
772
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-10T16-19-39.763701.parquet'
773
+ - config_name: harness_hendrycksTest_virology_5
774
+ data_files:
775
+ - split: 2024_01_10T16_19_39.763701
776
+ path:
777
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-10T16-19-39.763701.parquet'
778
+ - split: latest
779
+ path:
780
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-10T16-19-39.763701.parquet'
781
+ - config_name: harness_hendrycksTest_world_religions_5
782
+ data_files:
783
+ - split: 2024_01_10T16_19_39.763701
784
+ path:
785
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-10T16-19-39.763701.parquet'
786
+ - split: latest
787
+ path:
788
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-10T16-19-39.763701.parquet'
789
+ - config_name: harness_truthfulqa_mc_0
790
+ data_files:
791
+ - split: 2024_01_10T16_19_39.763701
792
+ path:
793
+ - '**/details_harness|truthfulqa:mc|0_2024-01-10T16-19-39.763701.parquet'
794
+ - split: latest
795
+ path:
796
+ - '**/details_harness|truthfulqa:mc|0_2024-01-10T16-19-39.763701.parquet'
797
+ - config_name: harness_winogrande_5
798
+ data_files:
799
+ - split: 2024_01_10T16_19_39.763701
800
+ path:
801
+ - '**/details_harness|winogrande|5_2024-01-10T16-19-39.763701.parquet'
802
+ - split: latest
803
+ path:
804
+ - '**/details_harness|winogrande|5_2024-01-10T16-19-39.763701.parquet'
805
+ - config_name: results
806
+ data_files:
807
+ - split: 2024_01_10T16_19_39.763701
808
+ path:
809
+ - results_2024-01-10T16-19-39.763701.parquet
810
+ - split: latest
811
+ path:
812
+ - results_2024-01-10T16-19-39.763701.parquet
813
+ ---
814
+
815
+ # Dataset Card for Evaluation run of cognitivecomputations/yayi2-30b-llama
816
+
817
+ <!-- Provide a quick summary of the dataset. -->
818
+
819
+ Dataset automatically created during the evaluation run of model [cognitivecomputations/yayi2-30b-llama](https://huggingface.co/cognitivecomputations/yayi2-30b-llama) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
820
+
821
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
822
+
823
+ 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.
824
+
825
+ 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)).
826
+
827
+ To load the details from a run, you can for instance do the following:
828
+ ```python
829
+ from datasets import load_dataset
830
+ data = load_dataset("open-llm-leaderboard/details_cognitivecomputations__yayi2-30b-llama",
831
+ "harness_winogrande_5",
832
+ split="train")
833
+ ```
834
+
835
+ ## Latest results
836
+
837
+ These are the [latest results from run 2024-01-10T16:19:39.763701](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__yayi2-30b-llama/blob/main/results_2024-01-10T16-19-39.763701.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):
838
+
839
+ ```python
840
+ {
841
+ "all": {
842
+ "acc": 0.6858877636566363,
843
+ "acc_stderr": 0.03180407855044079,
844
+ "acc_norm": 0.6971813587179843,
845
+ "acc_norm_stderr": 0.03247351510237223,
846
+ "mc1": 0.32802937576499386,
847
+ "mc1_stderr": 0.016435632932815025,
848
+ "mc2": 0.4907923298242728,
849
+ "mc2_stderr": 0.015239259549837077
850
+ },
851
+ "harness|arc:challenge|25": {
852
+ "acc": 0.33532423208191126,
853
+ "acc_stderr": 0.013796182947785564,
854
+ "acc_norm": 0.35665529010238906,
855
+ "acc_norm_stderr": 0.013998056902620199
856
+ },
857
+ "harness|hellaswag|10": {
858
+ "acc": 0.4402509460266879,
859
+ "acc_stderr": 0.004954026775425773,
860
+ "acc_norm": 0.5336586337382991,
861
+ "acc_norm_stderr": 0.004978462690966908
862
+ },
863
+ "harness|hendrycksTest-abstract_algebra|5": {
864
+ "acc": 0.43,
865
+ "acc_stderr": 0.04975698519562428,
866
+ "acc_norm": 0.43,
867
+ "acc_norm_stderr": 0.04975698519562428
868
+ },
869
+ "harness|hendrycksTest-anatomy|5": {
870
+ "acc": 0.6,
871
+ "acc_stderr": 0.04232073695151589,
872
+ "acc_norm": 0.6,
873
+ "acc_norm_stderr": 0.04232073695151589
874
+ },
875
+ "harness|hendrycksTest-astronomy|5": {
876
+ "acc": 0.7960526315789473,
877
+ "acc_stderr": 0.032790004063100515,
878
+ "acc_norm": 0.7960526315789473,
879
+ "acc_norm_stderr": 0.032790004063100515
880
+ },
881
+ "harness|hendrycksTest-business_ethics|5": {
882
+ "acc": 0.79,
883
+ "acc_stderr": 0.040936018074033256,
884
+ "acc_norm": 0.79,
885
+ "acc_norm_stderr": 0.040936018074033256
886
+ },
887
+ "harness|hendrycksTest-clinical_knowledge|5": {
888
+ "acc": 0.7283018867924528,
889
+ "acc_stderr": 0.027377706624670713,
890
+ "acc_norm": 0.7283018867924528,
891
+ "acc_norm_stderr": 0.027377706624670713
892
+ },
893
+ "harness|hendrycksTest-college_biology|5": {
894
+ "acc": 0.6527777777777778,
895
+ "acc_stderr": 0.039812405437178615,
896
+ "acc_norm": 0.6527777777777778,
897
+ "acc_norm_stderr": 0.039812405437178615
898
+ },
899
+ "harness|hendrycksTest-college_chemistry|5": {
900
+ "acc": 0.65,
901
+ "acc_stderr": 0.0479372485441102,
902
+ "acc_norm": 0.65,
903
+ "acc_norm_stderr": 0.0479372485441102
904
+ },
905
+ "harness|hendrycksTest-college_computer_science|5": {
906
+ "acc": 0.74,
907
+ "acc_stderr": 0.0440844002276808,
908
+ "acc_norm": 0.74,
909
+ "acc_norm_stderr": 0.0440844002276808
910
+ },
911
+ "harness|hendrycksTest-college_mathematics|5": {
912
+ "acc": 0.59,
913
+ "acc_stderr": 0.04943110704237101,
914
+ "acc_norm": 0.59,
915
+ "acc_norm_stderr": 0.04943110704237101
916
+ },
917
+ "harness|hendrycksTest-college_medicine|5": {
918
+ "acc": 0.7052023121387283,
919
+ "acc_stderr": 0.034765996075164785,
920
+ "acc_norm": 0.7052023121387283,
921
+ "acc_norm_stderr": 0.034765996075164785
922
+ },
923
+ "harness|hendrycksTest-college_physics|5": {
924
+ "acc": 0.6764705882352942,
925
+ "acc_stderr": 0.04655010411319611,
926
+ "acc_norm": 0.6764705882352942,
927
+ "acc_norm_stderr": 0.04655010411319611
928
+ },
929
+ "harness|hendrycksTest-computer_security|5": {
930
+ "acc": 0.8,
931
+ "acc_stderr": 0.04020151261036846,
932
+ "acc_norm": 0.8,
933
+ "acc_norm_stderr": 0.04020151261036846
934
+ },
935
+ "harness|hendrycksTest-conceptual_physics|5": {
936
+ "acc": 0.7063829787234043,
937
+ "acc_stderr": 0.029771642712491227,
938
+ "acc_norm": 0.7063829787234043,
939
+ "acc_norm_stderr": 0.029771642712491227
940
+ },
941
+ "harness|hendrycksTest-econometrics|5": {
942
+ "acc": 0.5964912280701754,
943
+ "acc_stderr": 0.046151869625837054,
944
+ "acc_norm": 0.5964912280701754,
945
+ "acc_norm_stderr": 0.046151869625837054
946
+ },
947
+ "harness|hendrycksTest-electrical_engineering|5": {
948
+ "acc": 0.7241379310344828,
949
+ "acc_stderr": 0.037245636197746325,
950
+ "acc_norm": 0.7241379310344828,
951
+ "acc_norm_stderr": 0.037245636197746325
952
+ },
953
+ "harness|hendrycksTest-elementary_mathematics|5": {
954
+ "acc": 0.6534391534391535,
955
+ "acc_stderr": 0.024508777521028424,
956
+ "acc_norm": 0.6534391534391535,
957
+ "acc_norm_stderr": 0.024508777521028424
958
+ },
959
+ "harness|hendrycksTest-formal_logic|5": {
960
+ "acc": 0.5476190476190477,
961
+ "acc_stderr": 0.044518079590553275,
962
+ "acc_norm": 0.5476190476190477,
963
+ "acc_norm_stderr": 0.044518079590553275
964
+ },
965
+ "harness|hendrycksTest-global_facts|5": {
966
+ "acc": 0.52,
967
+ "acc_stderr": 0.050211673156867795,
968
+ "acc_norm": 0.52,
969
+ "acc_norm_stderr": 0.050211673156867795
970
+ },
971
+ "harness|hendrycksTest-high_school_biology|5": {
972
+ "acc": 0.7161290322580646,
973
+ "acc_stderr": 0.02564938106302926,
974
+ "acc_norm": 0.7161290322580646,
975
+ "acc_norm_stderr": 0.02564938106302926
976
+ },
977
+ "harness|hendrycksTest-high_school_chemistry|5": {
978
+ "acc": 0.6502463054187192,
979
+ "acc_stderr": 0.03355400904969566,
980
+ "acc_norm": 0.6502463054187192,
981
+ "acc_norm_stderr": 0.03355400904969566
982
+ },
983
+ "harness|hendrycksTest-high_school_computer_science|5": {
984
+ "acc": 0.76,
985
+ "acc_stderr": 0.04292346959909283,
986
+ "acc_norm": 0.76,
987
+ "acc_norm_stderr": 0.04292346959909283
988
+ },
989
+ "harness|hendrycksTest-high_school_european_history|5": {
990
+ "acc": 0.6848484848484848,
991
+ "acc_stderr": 0.0362773057502241,
992
+ "acc_norm": 0.6848484848484848,
993
+ "acc_norm_stderr": 0.0362773057502241
994
+ },
995
+ "harness|hendrycksTest-high_school_geography|5": {
996
+ "acc": 0.8434343434343434,
997
+ "acc_stderr": 0.025890520358141454,
998
+ "acc_norm": 0.8434343434343434,
999
+ "acc_norm_stderr": 0.025890520358141454
1000
+ },
1001
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1002
+ "acc": 0.7979274611398963,
1003
+ "acc_stderr": 0.028979089794296736,
1004
+ "acc_norm": 0.7979274611398963,
1005
+ "acc_norm_stderr": 0.028979089794296736
1006
+ },
1007
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1008
+ "acc": 0.7076923076923077,
1009
+ "acc_stderr": 0.023060438380857733,
1010
+ "acc_norm": 0.7076923076923077,
1011
+ "acc_norm_stderr": 0.023060438380857733
1012
+ },
1013
+ "harness|hendrycksTest-high_school_mathematics|5": {
1014
+ "acc": 0.5888888888888889,
1015
+ "acc_stderr": 0.02999992350870668,
1016
+ "acc_norm": 0.5888888888888889,
1017
+ "acc_norm_stderr": 0.02999992350870668
1018
+ },
1019
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1020
+ "acc": 0.7478991596638656,
1021
+ "acc_stderr": 0.028205545033277726,
1022
+ "acc_norm": 0.7478991596638656,
1023
+ "acc_norm_stderr": 0.028205545033277726
1024
+ },
1025
+ "harness|hendrycksTest-high_school_physics|5": {
1026
+ "acc": 0.6688741721854304,
1027
+ "acc_stderr": 0.038425817186598696,
1028
+ "acc_norm": 0.6688741721854304,
1029
+ "acc_norm_stderr": 0.038425817186598696
1030
+ },
1031
+ "harness|hendrycksTest-high_school_psychology|5": {
1032
+ "acc": 0.744954128440367,
1033
+ "acc_stderr": 0.018688500856535856,
1034
+ "acc_norm": 0.744954128440367,
1035
+ "acc_norm_stderr": 0.018688500856535856
1036
+ },
1037
+ "harness|hendrycksTest-high_school_statistics|5": {
1038
+ "acc": 0.7037037037037037,
1039
+ "acc_stderr": 0.03114144782353604,
1040
+ "acc_norm": 0.7037037037037037,
1041
+ "acc_norm_stderr": 0.03114144782353604
1042
+ },
1043
+ "harness|hendrycksTest-high_school_us_history|5": {
1044
+ "acc": 0.7205882352941176,
1045
+ "acc_stderr": 0.03149328104507955,
1046
+ "acc_norm": 0.7205882352941176,
1047
+ "acc_norm_stderr": 0.03149328104507955
1048
+ },
1049
+ "harness|hendrycksTest-high_school_world_history|5": {
1050
+ "acc": 0.8354430379746836,
1051
+ "acc_stderr": 0.024135736240566932,
1052
+ "acc_norm": 0.8354430379746836,
1053
+ "acc_norm_stderr": 0.024135736240566932
1054
+ },
1055
+ "harness|hendrycksTest-human_aging|5": {
1056
+ "acc": 0.7982062780269058,
1057
+ "acc_stderr": 0.026936111912802253,
1058
+ "acc_norm": 0.7982062780269058,
1059
+ "acc_norm_stderr": 0.026936111912802253
1060
+ },
1061
+ "harness|hendrycksTest-human_sexuality|5": {
1062
+ "acc": 0.7251908396946565,
1063
+ "acc_stderr": 0.03915345408847836,
1064
+ "acc_norm": 0.7251908396946565,
1065
+ "acc_norm_stderr": 0.03915345408847836
1066
+ },
1067
+ "harness|hendrycksTest-international_law|5": {
1068
+ "acc": 0.8347107438016529,
1069
+ "acc_stderr": 0.03390780612972776,
1070
+ "acc_norm": 0.8347107438016529,
1071
+ "acc_norm_stderr": 0.03390780612972776
1072
+ },
1073
+ "harness|hendrycksTest-jurisprudence|5": {
1074
+ "acc": 0.7962962962962963,
1075
+ "acc_stderr": 0.03893542518824847,
1076
+ "acc_norm": 0.7962962962962963,
1077
+ "acc_norm_stderr": 0.03893542518824847
1078
+ },
1079
+ "harness|hendrycksTest-logical_fallacies|5": {
1080
+ "acc": 0.6809815950920245,
1081
+ "acc_stderr": 0.03661997551073836,
1082
+ "acc_norm": 0.6809815950920245,
1083
+ "acc_norm_stderr": 0.03661997551073836
1084
+ },
1085
+ "harness|hendrycksTest-machine_learning|5": {
1086
+ "acc": 0.4642857142857143,
1087
+ "acc_stderr": 0.04733667890053756,
1088
+ "acc_norm": 0.4642857142857143,
1089
+ "acc_norm_stderr": 0.04733667890053756
1090
+ },
1091
+ "harness|hendrycksTest-management|5": {
1092
+ "acc": 0.7961165048543689,
1093
+ "acc_stderr": 0.039891398595317706,
1094
+ "acc_norm": 0.7961165048543689,
1095
+ "acc_norm_stderr": 0.039891398595317706
1096
+ },
1097
+ "harness|hendrycksTest-marketing|5": {
1098
+ "acc": 0.8333333333333334,
1099
+ "acc_stderr": 0.024414947304543674,
1100
+ "acc_norm": 0.8333333333333334,
1101
+ "acc_norm_stderr": 0.024414947304543674
1102
+ },
1103
+ "harness|hendrycksTest-medical_genetics|5": {
1104
+ "acc": 0.65,
1105
+ "acc_stderr": 0.0479372485441102,
1106
+ "acc_norm": 0.65,
1107
+ "acc_norm_stderr": 0.0479372485441102
1108
+ },
1109
+ "harness|hendrycksTest-miscellaneous|5": {
1110
+ "acc": 0.7471264367816092,
1111
+ "acc_stderr": 0.015543377313719681,
1112
+ "acc_norm": 0.7471264367816092,
1113
+ "acc_norm_stderr": 0.015543377313719681
1114
+ },
1115
+ "harness|hendrycksTest-moral_disputes|5": {
1116
+ "acc": 0.7774566473988439,
1117
+ "acc_stderr": 0.02239421566194282,
1118
+ "acc_norm": 0.7774566473988439,
1119
+ "acc_norm_stderr": 0.02239421566194282
1120
+ },
1121
+ "harness|hendrycksTest-moral_scenarios|5": {
1122
+ "acc": 0.5005586592178771,
1123
+ "acc_stderr": 0.01672249111407335,
1124
+ "acc_norm": 0.5005586592178771,
1125
+ "acc_norm_stderr": 0.01672249111407335
1126
+ },
1127
+ "harness|hendrycksTest-nutrition|5": {
1128
+ "acc": 0.7712418300653595,
1129
+ "acc_stderr": 0.024051029739912255,
1130
+ "acc_norm": 0.7712418300653595,
1131
+ "acc_norm_stderr": 0.024051029739912255
1132
+ },
1133
+ "harness|hendrycksTest-philosophy|5": {
1134
+ "acc": 0.7845659163987139,
1135
+ "acc_stderr": 0.023350225475471442,
1136
+ "acc_norm": 0.7845659163987139,
1137
+ "acc_norm_stderr": 0.023350225475471442
1138
+ },
1139
+ "harness|hendrycksTest-prehistory|5": {
1140
+ "acc": 0.7469135802469136,
1141
+ "acc_stderr": 0.024191808600713,
1142
+ "acc_norm": 0.7469135802469136,
1143
+ "acc_norm_stderr": 0.024191808600713
1144
+ },
1145
+ "harness|hendrycksTest-professional_accounting|5": {
1146
+ "acc": 0.6347517730496454,
1147
+ "acc_stderr": 0.028723863853281278,
1148
+ "acc_norm": 0.6347517730496454,
1149
+ "acc_norm_stderr": 0.028723863853281278
1150
+ },
1151
+ "harness|hendrycksTest-professional_law|5": {
1152
+ "acc": 0.6486310299869622,
1153
+ "acc_stderr": 0.01219296945748403,
1154
+ "acc_norm": 0.6486310299869622,
1155
+ "acc_norm_stderr": 0.01219296945748403
1156
+ },
1157
+ "harness|hendrycksTest-professional_medicine|5": {
1158
+ "acc": 0.6764705882352942,
1159
+ "acc_stderr": 0.028418208619406755,
1160
+ "acc_norm": 0.6764705882352942,
1161
+ "acc_norm_stderr": 0.028418208619406755
1162
+ },
1163
+ "harness|hendrycksTest-professional_psychology|5": {
1164
+ "acc": 0.7173202614379085,
1165
+ "acc_stderr": 0.018217269552053435,
1166
+ "acc_norm": 0.7173202614379085,
1167
+ "acc_norm_stderr": 0.018217269552053435
1168
+ },
1169
+ "harness|hendrycksTest-public_relations|5": {
1170
+ "acc": 0.7909090909090909,
1171
+ "acc_stderr": 0.03895091015724138,
1172
+ "acc_norm": 0.7909090909090909,
1173
+ "acc_norm_stderr": 0.03895091015724138
1174
+ },
1175
+ "harness|hendrycksTest-security_studies|5": {
1176
+ "acc": 0.7877551020408163,
1177
+ "acc_stderr": 0.026176967197866767,
1178
+ "acc_norm": 0.7877551020408163,
1179
+ "acc_norm_stderr": 0.026176967197866767
1180
+ },
1181
+ "harness|hendrycksTest-sociology|5": {
1182
+ "acc": 0.8706467661691543,
1183
+ "acc_stderr": 0.023729830881018515,
1184
+ "acc_norm": 0.8706467661691543,
1185
+ "acc_norm_stderr": 0.023729830881018515
1186
+ },
1187
+ "harness|hendrycksTest-us_foreign_policy|5": {
1188
+ "acc": 0.81,
1189
+ "acc_stderr": 0.039427724440366255,
1190
+ "acc_norm": 0.81,
1191
+ "acc_norm_stderr": 0.039427724440366255
1192
+ },
1193
+ "harness|hendrycksTest-virology|5": {
1194
+ "acc": 0.6265060240963856,
1195
+ "acc_stderr": 0.037658451171688624,
1196
+ "acc_norm": 0.6265060240963856,
1197
+ "acc_norm_stderr": 0.037658451171688624
1198
+ },
1199
+ "harness|hendrycksTest-world_religions|5": {
1200
+ "acc": 0.695906432748538,
1201
+ "acc_stderr": 0.03528211258245232,
1202
+ "acc_norm": 0.695906432748538,
1203
+ "acc_norm_stderr": 0.03528211258245232
1204
+ },
1205
+ "harness|truthfulqa:mc|0": {
1206
+ "mc1": 0.32802937576499386,
1207
+ "mc1_stderr": 0.016435632932815025,
1208
+ "mc2": 0.4907923298242728,
1209
+ "mc2_stderr": 0.015239259549837077
1210
+ },
1211
+ "harness|winogrande|5": {
1212
+ "acc": 0.6314127861089187,
1213
+ "acc_stderr": 0.013558447570099323
1214
+ },
1215
+ "harness|gsm8k|5": {
1216
+ "acc": 0.18877937831690675,
1217
+ "acc_stderr": 0.010779262837202744
1218
+ }
1219
+ }
1220
+ ```
1221
+
1222
+ ## Dataset Details
1223
+
1224
+ ### Dataset Description
1225
+
1226
+ <!-- Provide a longer summary of what this dataset is. -->
1227
+
1228
+
1229
+
1230
+ - **Curated by:** [More Information Needed]
1231
+ - **Funded by [optional]:** [More Information Needed]
1232
+ - **Shared by [optional]:** [More Information Needed]
1233
+ - **Language(s) (NLP):** [More Information Needed]
1234
+ - **License:** [More Information Needed]
1235
+
1236
+ ### Dataset Sources [optional]
1237
+
1238
+ <!-- Provide the basic links for the dataset. -->
1239
+
1240
+ - **Repository:** [More Information Needed]
1241
+ - **Paper [optional]:** [More Information Needed]
1242
+ - **Demo [optional]:** [More Information Needed]
1243
+
1244
+ ## Uses
1245
+
1246
+ <!-- Address questions around how the dataset is intended to be used. -->
1247
+
1248
+ ### Direct Use
1249
+
1250
+ <!-- This section describes suitable use cases for the dataset. -->
1251
+
1252
+ [More Information Needed]
1253
+
1254
+ ### Out-of-Scope Use
1255
+
1256
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1257
+
1258
+ [More Information Needed]
1259
+
1260
+ ## Dataset Structure
1261
+
1262
+ <!-- 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. -->
1263
+
1264
+ [More Information Needed]
1265
+
1266
+ ## Dataset Creation
1267
+
1268
+ ### Curation Rationale
1269
+
1270
+ <!-- Motivation for the creation of this dataset. -->
1271
+
1272
+ [More Information Needed]
1273
+
1274
+ ### Source Data
1275
+
1276
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1277
+
1278
+ #### Data Collection and Processing
1279
+
1280
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1281
+
1282
+ [More Information Needed]
1283
+
1284
+ #### Who are the source data producers?
1285
+
1286
+ <!-- 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. -->
1287
+
1288
+ [More Information Needed]
1289
+
1290
+ ### Annotations [optional]
1291
+
1292
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1293
+
1294
+ #### Annotation process
1295
+
1296
+ <!-- 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. -->
1297
+
1298
+ [More Information Needed]
1299
+
1300
+ #### Who are the annotators?
1301
+
1302
+ <!-- This section describes the people or systems who created the annotations. -->
1303
+
1304
+ [More Information Needed]
1305
+
1306
+ #### Personal and Sensitive Information
1307
+
1308
+ <!-- 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. -->
1309
+
1310
+ [More Information Needed]
1311
+
1312
+ ## Bias, Risks, and Limitations
1313
+
1314
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1315
+
1316
+ [More Information Needed]
1317
+
1318
+ ### Recommendations
1319
+
1320
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1321
+
1322
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1323
+
1324
+ ## Citation [optional]
1325
+
1326
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1327
+
1328
+ **BibTeX:**
1329
+
1330
+ [More Information Needed]
1331
+
1332
+ **APA:**
1333
+
1334
+ [More Information Needed]
1335
+
1336
+ ## Glossary [optional]
1337
+
1338
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1339
+
1340
+ [More Information Needed]
1341
+
1342
+ ## More Information [optional]
1343
+
1344
+ [More Information Needed]
1345
+
1346
+ ## Dataset Card Authors [optional]
1347
+
1348
+ [More Information Needed]
1349
+
1350
+ ## Dataset Card Contact
1351
+
1352
+ [More Information Needed]