Hugging Face's logo

Datasets:
open-llm-leaderboard
/
details_cognitivecomputations__MegaDolphin-120b

Dataset card Files Community
SaylorTwift HF staff commited on
Commit
ff43d49
•
1 Parent(s): a5a874a

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/MegaDolphin-120b
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [cognitivecomputations/MegaDolphin-120b](https://huggingface.co/cognitivecomputations/MegaDolphin-120b)\
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__MegaDolphin-120b\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-01-21T21:48:58.549252](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__MegaDolphin-120b/blob/main/results_2024-01-21T21-48-58.549252.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\": 0.6902282983987049,\n\
20
+ \ \"acc_stderr\": 0.03061680900457877,\n \"acc_norm\": 0.6956826713561578,\n\
21
+ \ \"acc_norm_stderr\": 0.03120808276540501,\n \"mc1\": 0.41370869033047736,\n\
22
+ \ \"mc1_stderr\": 0.017240861812099804,\n \"mc2\": 0.592821117756168,\n\
23
+ \ \"mc2_stderr\": 0.015249093012153285\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.643344709897611,\n \"acc_stderr\": 0.013998056902620196,\n\
25
+ \ \"acc_norm\": 0.6902730375426621,\n \"acc_norm_stderr\": 0.013512058415238361\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7026488747261501,\n\
27
+ \ \"acc_stderr\": 0.004561582009834577,\n \"acc_norm\": 0.8780123481378211,\n\
28
+ \ \"acc_norm_stderr\": 0.0032660269509226444\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
30
+ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\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\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882923,\n\
35
+ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882923\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.78,\n\
37
+ \ \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n \
38
+ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.7358490566037735,\n \"acc_stderr\": 0.0271342916287417,\n\
40
+ \ \"acc_norm\": 0.7358490566037735,\n \"acc_norm_stderr\": 0.0271342916287417\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8194444444444444,\n\
42
+ \ \"acc_stderr\": 0.03216600808802268,\n \"acc_norm\": 0.8194444444444444,\n\
43
+ \ \"acc_norm_stderr\": 0.03216600808802268\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
45
+ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
47
+ : 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"\
48
+ acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
50
+ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6936416184971098,\n\
52
+ \ \"acc_stderr\": 0.035149425512674394,\n \"acc_norm\": 0.6936416184971098,\n\
53
+ \ \"acc_norm_stderr\": 0.035149425512674394\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062946,\n\
55
+ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062946\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.77,\n \"acc_stderr\": 0.04229525846816507,\n \"acc_norm\": 0.77,\n\
58
+ \ \"acc_norm_stderr\": 0.04229525846816507\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.6893617021276596,\n \"acc_stderr\": 0.03025123757921317,\n\
60
+ \ \"acc_norm\": 0.6893617021276596,\n \"acc_norm_stderr\": 0.03025123757921317\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\
62
+ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \
63
+ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.6620689655172414,\n \"acc_stderr\": 0.039417076320648906,\n\
65
+ \ \"acc_norm\": 0.6620689655172414,\n \"acc_norm_stderr\": 0.039417076320648906\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.47619047619047616,\n \"acc_stderr\": 0.025722097064388525,\n \"\
68
+ acc_norm\": 0.47619047619047616,\n \"acc_norm_stderr\": 0.025722097064388525\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5238095238095238,\n\
70
+ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.5238095238095238,\n\
71
+ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
73
+ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
75
+ : 0.8290322580645161,\n \"acc_stderr\": 0.02141724293632158,\n \"\
76
+ acc_norm\": 0.8290322580645161,\n \"acc_norm_stderr\": 0.02141724293632158\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
78
+ : 0.5024630541871922,\n \"acc_stderr\": 0.03517945038691063,\n \"\
79
+ acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.03517945038691063\n\
80
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
81
+ \ \"acc\": 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\"\
82
+ : 0.74,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
83
+ : {\n \"acc\": 0.8484848484848485,\n \"acc_stderr\": 0.027998073798781678,\n\
84
+ \ \"acc_norm\": 0.8484848484848485,\n \"acc_norm_stderr\": 0.027998073798781678\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
86
+ : 0.8585858585858586,\n \"acc_stderr\": 0.02482590979334335,\n \"\
87
+ acc_norm\": 0.8585858585858586,\n \"acc_norm_stderr\": 0.02482590979334335\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
89
+ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\
90
+ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
92
+ \ \"acc\": 0.7461538461538462,\n \"acc_stderr\": 0.022066054378726257,\n\
93
+ \ \"acc_norm\": 0.7461538461538462,\n \"acc_norm_stderr\": 0.022066054378726257\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
95
+ acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606647,\n \
96
+ \ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606647\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
98
+ \ \"acc\": 0.7815126050420168,\n \"acc_stderr\": 0.02684151432295894,\n \
99
+ \ \"acc_norm\": 0.7815126050420168,\n \"acc_norm_stderr\": 0.02684151432295894\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
101
+ : 0.4370860927152318,\n \"acc_stderr\": 0.04050035722230636,\n \"\
102
+ acc_norm\": 0.4370860927152318,\n \"acc_norm_stderr\": 0.04050035722230636\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
104
+ : 0.8844036697247707,\n \"acc_stderr\": 0.01370874953417264,\n \"\
105
+ acc_norm\": 0.8844036697247707,\n \"acc_norm_stderr\": 0.01370874953417264\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
107
+ : 0.5787037037037037,\n \"acc_stderr\": 0.03367462138896078,\n \"\
108
+ acc_norm\": 0.5787037037037037,\n \"acc_norm_stderr\": 0.03367462138896078\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
110
+ : 0.9313725490196079,\n \"acc_stderr\": 0.017744453647073315,\n \"\
111
+ acc_norm\": 0.9313725490196079,\n \"acc_norm_stderr\": 0.017744453647073315\n\
112
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
113
+ acc\": 0.890295358649789,\n \"acc_stderr\": 0.020343400734868834,\n \
114
+ \ \"acc_norm\": 0.890295358649789,\n \"acc_norm_stderr\": 0.020343400734868834\n\
115
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7847533632286996,\n\
116
+ \ \"acc_stderr\": 0.02758406660220827,\n \"acc_norm\": 0.7847533632286996,\n\
117
+ \ \"acc_norm_stderr\": 0.02758406660220827\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
118
+ : {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494733,\n\
119
+ \ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494733\n\
120
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
121
+ \ 0.8842975206611571,\n \"acc_stderr\": 0.029199802455622814,\n \"\
122
+ acc_norm\": 0.8842975206611571,\n \"acc_norm_stderr\": 0.029199802455622814\n\
123
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8148148148148148,\n\
124
+ \ \"acc_stderr\": 0.03755265865037181,\n \"acc_norm\": 0.8148148148148148,\n\
125
+ \ \"acc_norm_stderr\": 0.03755265865037181\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
126
+ : {\n \"acc\": 0.8466257668711656,\n \"acc_stderr\": 0.028311601441438607,\n\
127
+ \ \"acc_norm\": 0.8466257668711656,\n \"acc_norm_stderr\": 0.028311601441438607\n\
128
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5714285714285714,\n\
129
+ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.5714285714285714,\n\
130
+ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\
131
+ : {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822582,\n\
132
+ \ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822582\n\
133
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.905982905982906,\n\
134
+ \ \"acc_stderr\": 0.019119892798924974,\n \"acc_norm\": 0.905982905982906,\n\
135
+ \ \"acc_norm_stderr\": 0.019119892798924974\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
136
+ : {\n \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252606,\n \
137
+ \ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.04725815626252606\n \
138
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8441890166028098,\n\
139
+ \ \"acc_stderr\": 0.012969269247762578,\n \"acc_norm\": 0.8441890166028098,\n\
140
+ \ \"acc_norm_stderr\": 0.012969269247762578\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
141
+ : {\n \"acc\": 0.7832369942196532,\n \"acc_stderr\": 0.022183477668412856,\n\
142
+ \ \"acc_norm\": 0.7832369942196532,\n \"acc_norm_stderr\": 0.022183477668412856\n\
143
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5150837988826815,\n\
144
+ \ \"acc_stderr\": 0.01671489037999606,\n \"acc_norm\": 0.5150837988826815,\n\
145
+ \ \"acc_norm_stderr\": 0.01671489037999606\n },\n \"harness|hendrycksTest-nutrition|5\"\
146
+ : {\n \"acc\": 0.738562091503268,\n \"acc_stderr\": 0.025160998214292456,\n\
147
+ \ \"acc_norm\": 0.738562091503268,\n \"acc_norm_stderr\": 0.025160998214292456\n\
148
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7684887459807074,\n\
149
+ \ \"acc_stderr\": 0.023956532766639133,\n \"acc_norm\": 0.7684887459807074,\n\
150
+ \ \"acc_norm_stderr\": 0.023956532766639133\n },\n \"harness|hendrycksTest-prehistory|5\"\
151
+ : {\n \"acc\": 0.8148148148148148,\n \"acc_stderr\": 0.02161380939522479,\n\
152
+ \ \"acc_norm\": 0.8148148148148148,\n \"acc_norm_stderr\": 0.02161380939522479\n\
153
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
154
+ acc\": 0.5567375886524822,\n \"acc_stderr\": 0.029634838473766006,\n \
155
+ \ \"acc_norm\": 0.5567375886524822,\n \"acc_norm_stderr\": 0.029634838473766006\n\
156
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5867014341590613,\n\
157
+ \ \"acc_stderr\": 0.012576779494860076,\n \"acc_norm\": 0.5867014341590613,\n\
158
+ \ \"acc_norm_stderr\": 0.012576779494860076\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
159
+ : {\n \"acc\": 0.7095588235294118,\n \"acc_stderr\": 0.027576468622740533,\n\
160
+ \ \"acc_norm\": 0.7095588235294118,\n \"acc_norm_stderr\": 0.027576468622740533\n\
161
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
162
+ acc\": 0.7565359477124183,\n \"acc_stderr\": 0.017362473762146606,\n \
163
+ \ \"acc_norm\": 0.7565359477124183,\n \"acc_norm_stderr\": 0.017362473762146606\n\
164
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\
165
+ \ \"acc_stderr\": 0.043091187099464585,\n \"acc_norm\": 0.7181818181818181,\n\
166
+ \ \"acc_norm_stderr\": 0.043091187099464585\n },\n \"harness|hendrycksTest-security_studies|5\"\
167
+ : {\n \"acc\": 0.7714285714285715,\n \"acc_stderr\": 0.02688214492230774,\n\
168
+ \ \"acc_norm\": 0.7714285714285715,\n \"acc_norm_stderr\": 0.02688214492230774\n\
169
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\
170
+ \ \"acc_stderr\": 0.024845753212306046,\n \"acc_norm\": 0.8557213930348259,\n\
171
+ \ \"acc_norm_stderr\": 0.024845753212306046\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
172
+ : {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197769,\n \
173
+ \ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197769\n \
174
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
175
+ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
176
+ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
177
+ : {\n \"acc\": 0.8421052631578947,\n \"acc_stderr\": 0.027966785859160896,\n\
178
+ \ \"acc_norm\": 0.8421052631578947,\n \"acc_norm_stderr\": 0.027966785859160896\n\
179
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.41370869033047736,\n\
180
+ \ \"mc1_stderr\": 0.017240861812099804,\n \"mc2\": 0.592821117756168,\n\
181
+ \ \"mc2_stderr\": 0.015249093012153285\n },\n \"harness|winogrande|5\"\
182
+ : {\n \"acc\": 0.8184688239936859,\n \"acc_stderr\": 0.010833276515007508\n\
183
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4624715693707354,\n \
184
+ \ \"acc_stderr\": 0.013733636059107756\n }\n}\n```"
185
+ repo_url: https://huggingface.co/cognitivecomputations/MegaDolphin-120b
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_21T21_48_58.549252
192
+ path:
193
+ - '**/details_harness|arc:challenge|25_2024-01-21T21-48-58.549252.parquet'
194
+ - split: latest
195
+ path:
196
+ - '**/details_harness|arc:challenge|25_2024-01-21T21-48-58.549252.parquet'
197
+ - config_name: harness_gsm8k_5
198
+ data_files:
199
+ - split: 2024_01_21T21_48_58.549252
200
+ path:
201
+ - '**/details_harness|gsm8k|5_2024-01-21T21-48-58.549252.parquet'
202
+ - split: latest
203
+ path:
204
+ - '**/details_harness|gsm8k|5_2024-01-21T21-48-58.549252.parquet'
205
+ - config_name: harness_hellaswag_10
206
+ data_files:
207
+ - split: 2024_01_21T21_48_58.549252
208
+ path:
209
+ - '**/details_harness|hellaswag|10_2024-01-21T21-48-58.549252.parquet'
210
+ - split: latest
211
+ path:
212
+ - '**/details_harness|hellaswag|10_2024-01-21T21-48-58.549252.parquet'
213
+ - config_name: harness_hendrycksTest_5
214
+ data_files:
215
+ - split: 2024_01_21T21_48_58.549252
216
+ path:
217
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T21-48-58.549252.parquet'
218
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T21-48-58.549252.parquet'
219
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T21-48-58.549252.parquet'
220
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T21-48-58.549252.parquet'
221
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T21-48-58.549252.parquet'
222
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T21-48-58.549252.parquet'
223
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T21-48-58.549252.parquet'
224
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T21-48-58.549252.parquet'
225
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T21-48-58.549252.parquet'
226
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T21-48-58.549252.parquet'
227
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T21-48-58.549252.parquet'
228
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T21-48-58.549252.parquet'
229
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T21-48-58.549252.parquet'
230
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T21-48-58.549252.parquet'
231
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T21-48-58.549252.parquet'
232
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T21-48-58.549252.parquet'
233
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T21-48-58.549252.parquet'
234
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T21-48-58.549252.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T21-48-58.549252.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T21-48-58.549252.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T21-48-58.549252.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T21-48-58.549252.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T21-48-58.549252.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T21-48-58.549252.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T21-48-58.549252.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T21-48-58.549252.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T21-48-58.549252.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T21-48-58.549252.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T21-48-58.549252.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T21-48-58.549252.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T21-48-58.549252.parquet'
248
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T21-48-58.549252.parquet'
249
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T21-48-58.549252.parquet'
250
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T21-48-58.549252.parquet'
251
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T21-48-58.549252.parquet'
252
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T21-48-58.549252.parquet'
253
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T21-48-58.549252.parquet'
254
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T21-48-58.549252.parquet'
255
+ - '**/details_harness|hendrycksTest-management|5_2024-01-21T21-48-58.549252.parquet'
256
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T21-48-58.549252.parquet'
257
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T21-48-58.549252.parquet'
258
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T21-48-58.549252.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T21-48-58.549252.parquet'
260
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T21-48-58.549252.parquet'
261
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T21-48-58.549252.parquet'
262
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T21-48-58.549252.parquet'
263
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T21-48-58.549252.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T21-48-58.549252.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T21-48-58.549252.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T21-48-58.549252.parquet'
267
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T21-48-58.549252.parquet'
268
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T21-48-58.549252.parquet'
269
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T21-48-58.549252.parquet'
270
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T21-48-58.549252.parquet'
271
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T21-48-58.549252.parquet'
272
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-21T21-48-58.549252.parquet'
273
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T21-48-58.549252.parquet'
274
+ - split: latest
275
+ path:
276
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T21-48-58.549252.parquet'
277
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T21-48-58.549252.parquet'
278
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T21-48-58.549252.parquet'
279
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T21-48-58.549252.parquet'
280
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T21-48-58.549252.parquet'
281
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T21-48-58.549252.parquet'
282
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T21-48-58.549252.parquet'
283
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T21-48-58.549252.parquet'
284
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T21-48-58.549252.parquet'
285
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T21-48-58.549252.parquet'
286
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T21-48-58.549252.parquet'
287
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T21-48-58.549252.parquet'
288
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T21-48-58.549252.parquet'
289
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T21-48-58.549252.parquet'
290
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T21-48-58.549252.parquet'
291
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T21-48-58.549252.parquet'
292
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T21-48-58.549252.parquet'
293
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T21-48-58.549252.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T21-48-58.549252.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T21-48-58.549252.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T21-48-58.549252.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T21-48-58.549252.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T21-48-58.549252.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T21-48-58.549252.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T21-48-58.549252.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T21-48-58.549252.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T21-48-58.549252.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T21-48-58.549252.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T21-48-58.549252.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T21-48-58.549252.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T21-48-58.549252.parquet'
307
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T21-48-58.549252.parquet'
308
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T21-48-58.549252.parquet'
309
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T21-48-58.549252.parquet'
310
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T21-48-58.549252.parquet'
311
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T21-48-58.549252.parquet'
312
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T21-48-58.549252.parquet'
313
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T21-48-58.549252.parquet'
314
+ - '**/details_harness|hendrycksTest-management|5_2024-01-21T21-48-58.549252.parquet'
315
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T21-48-58.549252.parquet'
316
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T21-48-58.549252.parquet'
317
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T21-48-58.549252.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T21-48-58.549252.parquet'
319
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T21-48-58.549252.parquet'
320
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T21-48-58.549252.parquet'
321
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T21-48-58.549252.parquet'
322
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T21-48-58.549252.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T21-48-58.549252.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T21-48-58.549252.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T21-48-58.549252.parquet'
326
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T21-48-58.549252.parquet'
327
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T21-48-58.549252.parquet'
328
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T21-48-58.549252.parquet'
329
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T21-48-58.549252.parquet'
330
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T21-48-58.549252.parquet'
331
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-21T21-48-58.549252.parquet'
332
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T21-48-58.549252.parquet'
333
+ - config_name: harness_hendrycksTest_abstract_algebra_5
334
+ data_files:
335
+ - split: 2024_01_21T21_48_58.549252
336
+ path:
337
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T21-48-58.549252.parquet'
338
+ - split: latest
339
+ path:
340
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-21T21-48-58.549252.parquet'
341
+ - config_name: harness_hendrycksTest_anatomy_5
342
+ data_files:
343
+ - split: 2024_01_21T21_48_58.549252
344
+ path:
345
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T21-48-58.549252.parquet'
346
+ - split: latest
347
+ path:
348
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-21T21-48-58.549252.parquet'
349
+ - config_name: harness_hendrycksTest_astronomy_5
350
+ data_files:
351
+ - split: 2024_01_21T21_48_58.549252
352
+ path:
353
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T21-48-58.549252.parquet'
354
+ - split: latest
355
+ path:
356
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-21T21-48-58.549252.parquet'
357
+ - config_name: harness_hendrycksTest_business_ethics_5
358
+ data_files:
359
+ - split: 2024_01_21T21_48_58.549252
360
+ path:
361
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T21-48-58.549252.parquet'
362
+ - split: latest
363
+ path:
364
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-21T21-48-58.549252.parquet'
365
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
366
+ data_files:
367
+ - split: 2024_01_21T21_48_58.549252
368
+ path:
369
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T21-48-58.549252.parquet'
370
+ - split: latest
371
+ path:
372
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-21T21-48-58.549252.parquet'
373
+ - config_name: harness_hendrycksTest_college_biology_5
374
+ data_files:
375
+ - split: 2024_01_21T21_48_58.549252
376
+ path:
377
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T21-48-58.549252.parquet'
378
+ - split: latest
379
+ path:
380
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-21T21-48-58.549252.parquet'
381
+ - config_name: harness_hendrycksTest_college_chemistry_5
382
+ data_files:
383
+ - split: 2024_01_21T21_48_58.549252
384
+ path:
385
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T21-48-58.549252.parquet'
386
+ - split: latest
387
+ path:
388
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-21T21-48-58.549252.parquet'
389
+ - config_name: harness_hendrycksTest_college_computer_science_5
390
+ data_files:
391
+ - split: 2024_01_21T21_48_58.549252
392
+ path:
393
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T21-48-58.549252.parquet'
394
+ - split: latest
395
+ path:
396
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-21T21-48-58.549252.parquet'
397
+ - config_name: harness_hendrycksTest_college_mathematics_5
398
+ data_files:
399
+ - split: 2024_01_21T21_48_58.549252
400
+ path:
401
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T21-48-58.549252.parquet'
402
+ - split: latest
403
+ path:
404
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-21T21-48-58.549252.parquet'
405
+ - config_name: harness_hendrycksTest_college_medicine_5
406
+ data_files:
407
+ - split: 2024_01_21T21_48_58.549252
408
+ path:
409
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T21-48-58.549252.parquet'
410
+ - split: latest
411
+ path:
412
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-21T21-48-58.549252.parquet'
413
+ - config_name: harness_hendrycksTest_college_physics_5
414
+ data_files:
415
+ - split: 2024_01_21T21_48_58.549252
416
+ path:
417
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T21-48-58.549252.parquet'
418
+ - split: latest
419
+ path:
420
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-21T21-48-58.549252.parquet'
421
+ - config_name: harness_hendrycksTest_computer_security_5
422
+ data_files:
423
+ - split: 2024_01_21T21_48_58.549252
424
+ path:
425
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T21-48-58.549252.parquet'
426
+ - split: latest
427
+ path:
428
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-21T21-48-58.549252.parquet'
429
+ - config_name: harness_hendrycksTest_conceptual_physics_5
430
+ data_files:
431
+ - split: 2024_01_21T21_48_58.549252
432
+ path:
433
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T21-48-58.549252.parquet'
434
+ - split: latest
435
+ path:
436
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-21T21-48-58.549252.parquet'
437
+ - config_name: harness_hendrycksTest_econometrics_5
438
+ data_files:
439
+ - split: 2024_01_21T21_48_58.549252
440
+ path:
441
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T21-48-58.549252.parquet'
442
+ - split: latest
443
+ path:
444
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-21T21-48-58.549252.parquet'
445
+ - config_name: harness_hendrycksTest_electrical_engineering_5
446
+ data_files:
447
+ - split: 2024_01_21T21_48_58.549252
448
+ path:
449
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T21-48-58.549252.parquet'
450
+ - split: latest
451
+ path:
452
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-21T21-48-58.549252.parquet'
453
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
454
+ data_files:
455
+ - split: 2024_01_21T21_48_58.549252
456
+ path:
457
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T21-48-58.549252.parquet'
458
+ - split: latest
459
+ path:
460
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-21T21-48-58.549252.parquet'
461
+ - config_name: harness_hendrycksTest_formal_logic_5
462
+ data_files:
463
+ - split: 2024_01_21T21_48_58.549252
464
+ path:
465
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T21-48-58.549252.parquet'
466
+ - split: latest
467
+ path:
468
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-21T21-48-58.549252.parquet'
469
+ - config_name: harness_hendrycksTest_global_facts_5
470
+ data_files:
471
+ - split: 2024_01_21T21_48_58.549252
472
+ path:
473
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T21-48-58.549252.parquet'
474
+ - split: latest
475
+ path:
476
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-21T21-48-58.549252.parquet'
477
+ - config_name: harness_hendrycksTest_high_school_biology_5
478
+ data_files:
479
+ - split: 2024_01_21T21_48_58.549252
480
+ path:
481
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T21-48-58.549252.parquet'
482
+ - split: latest
483
+ path:
484
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-21T21-48-58.549252.parquet'
485
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
486
+ data_files:
487
+ - split: 2024_01_21T21_48_58.549252
488
+ path:
489
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T21-48-58.549252.parquet'
490
+ - split: latest
491
+ path:
492
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-21T21-48-58.549252.parquet'
493
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
494
+ data_files:
495
+ - split: 2024_01_21T21_48_58.549252
496
+ path:
497
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T21-48-58.549252.parquet'
498
+ - split: latest
499
+ path:
500
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-21T21-48-58.549252.parquet'
501
+ - config_name: harness_hendrycksTest_high_school_european_history_5
502
+ data_files:
503
+ - split: 2024_01_21T21_48_58.549252
504
+ path:
505
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T21-48-58.549252.parquet'
506
+ - split: latest
507
+ path:
508
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-21T21-48-58.549252.parquet'
509
+ - config_name: harness_hendrycksTest_high_school_geography_5
510
+ data_files:
511
+ - split: 2024_01_21T21_48_58.549252
512
+ path:
513
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T21-48-58.549252.parquet'
514
+ - split: latest
515
+ path:
516
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-21T21-48-58.549252.parquet'
517
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
518
+ data_files:
519
+ - split: 2024_01_21T21_48_58.549252
520
+ path:
521
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T21-48-58.549252.parquet'
522
+ - split: latest
523
+ path:
524
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-21T21-48-58.549252.parquet'
525
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
526
+ data_files:
527
+ - split: 2024_01_21T21_48_58.549252
528
+ path:
529
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T21-48-58.549252.parquet'
530
+ - split: latest
531
+ path:
532
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-21T21-48-58.549252.parquet'
533
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
534
+ data_files:
535
+ - split: 2024_01_21T21_48_58.549252
536
+ path:
537
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T21-48-58.549252.parquet'
538
+ - split: latest
539
+ path:
540
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-21T21-48-58.549252.parquet'
541
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
542
+ data_files:
543
+ - split: 2024_01_21T21_48_58.549252
544
+ path:
545
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T21-48-58.549252.parquet'
546
+ - split: latest
547
+ path:
548
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-21T21-48-58.549252.parquet'
549
+ - config_name: harness_hendrycksTest_high_school_physics_5
550
+ data_files:
551
+ - split: 2024_01_21T21_48_58.549252
552
+ path:
553
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T21-48-58.549252.parquet'
554
+ - split: latest
555
+ path:
556
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-21T21-48-58.549252.parquet'
557
+ - config_name: harness_hendrycksTest_high_school_psychology_5
558
+ data_files:
559
+ - split: 2024_01_21T21_48_58.549252
560
+ path:
561
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T21-48-58.549252.parquet'
562
+ - split: latest
563
+ path:
564
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-21T21-48-58.549252.parquet'
565
+ - config_name: harness_hendrycksTest_high_school_statistics_5
566
+ data_files:
567
+ - split: 2024_01_21T21_48_58.549252
568
+ path:
569
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T21-48-58.549252.parquet'
570
+ - split: latest
571
+ path:
572
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-21T21-48-58.549252.parquet'
573
+ - config_name: harness_hendrycksTest_high_school_us_history_5
574
+ data_files:
575
+ - split: 2024_01_21T21_48_58.549252
576
+ path:
577
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T21-48-58.549252.parquet'
578
+ - split: latest
579
+ path:
580
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-21T21-48-58.549252.parquet'
581
+ - config_name: harness_hendrycksTest_high_school_world_history_5
582
+ data_files:
583
+ - split: 2024_01_21T21_48_58.549252
584
+ path:
585
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T21-48-58.549252.parquet'
586
+ - split: latest
587
+ path:
588
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-21T21-48-58.549252.parquet'
589
+ - config_name: harness_hendrycksTest_human_aging_5
590
+ data_files:
591
+ - split: 2024_01_21T21_48_58.549252
592
+ path:
593
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T21-48-58.549252.parquet'
594
+ - split: latest
595
+ path:
596
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-21T21-48-58.549252.parquet'
597
+ - config_name: harness_hendrycksTest_human_sexuality_5
598
+ data_files:
599
+ - split: 2024_01_21T21_48_58.549252
600
+ path:
601
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T21-48-58.549252.parquet'
602
+ - split: latest
603
+ path:
604
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-21T21-48-58.549252.parquet'
605
+ - config_name: harness_hendrycksTest_international_law_5
606
+ data_files:
607
+ - split: 2024_01_21T21_48_58.549252
608
+ path:
609
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T21-48-58.549252.parquet'
610
+ - split: latest
611
+ path:
612
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-21T21-48-58.549252.parquet'
613
+ - config_name: harness_hendrycksTest_jurisprudence_5
614
+ data_files:
615
+ - split: 2024_01_21T21_48_58.549252
616
+ path:
617
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T21-48-58.549252.parquet'
618
+ - split: latest
619
+ path:
620
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-21T21-48-58.549252.parquet'
621
+ - config_name: harness_hendrycksTest_logical_fallacies_5
622
+ data_files:
623
+ - split: 2024_01_21T21_48_58.549252
624
+ path:
625
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T21-48-58.549252.parquet'
626
+ - split: latest
627
+ path:
628
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-21T21-48-58.549252.parquet'
629
+ - config_name: harness_hendrycksTest_machine_learning_5
630
+ data_files:
631
+ - split: 2024_01_21T21_48_58.549252
632
+ path:
633
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T21-48-58.549252.parquet'
634
+ - split: latest
635
+ path:
636
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-21T21-48-58.549252.parquet'
637
+ - config_name: harness_hendrycksTest_management_5
638
+ data_files:
639
+ - split: 2024_01_21T21_48_58.549252
640
+ path:
641
+ - '**/details_harness|hendrycksTest-management|5_2024-01-21T21-48-58.549252.parquet'
642
+ - split: latest
643
+ path:
644
+ - '**/details_harness|hendrycksTest-management|5_2024-01-21T21-48-58.549252.parquet'
645
+ - config_name: harness_hendrycksTest_marketing_5
646
+ data_files:
647
+ - split: 2024_01_21T21_48_58.549252
648
+ path:
649
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T21-48-58.549252.parquet'
650
+ - split: latest
651
+ path:
652
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-21T21-48-58.549252.parquet'
653
+ - config_name: harness_hendrycksTest_medical_genetics_5
654
+ data_files:
655
+ - split: 2024_01_21T21_48_58.549252
656
+ path:
657
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T21-48-58.549252.parquet'
658
+ - split: latest
659
+ path:
660
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-21T21-48-58.549252.parquet'
661
+ - config_name: harness_hendrycksTest_miscellaneous_5
662
+ data_files:
663
+ - split: 2024_01_21T21_48_58.549252
664
+ path:
665
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T21-48-58.549252.parquet'
666
+ - split: latest
667
+ path:
668
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-21T21-48-58.549252.parquet'
669
+ - config_name: harness_hendrycksTest_moral_disputes_5
670
+ data_files:
671
+ - split: 2024_01_21T21_48_58.549252
672
+ path:
673
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T21-48-58.549252.parquet'
674
+ - split: latest
675
+ path:
676
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-21T21-48-58.549252.parquet'
677
+ - config_name: harness_hendrycksTest_moral_scenarios_5
678
+ data_files:
679
+ - split: 2024_01_21T21_48_58.549252
680
+ path:
681
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T21-48-58.549252.parquet'
682
+ - split: latest
683
+ path:
684
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-21T21-48-58.549252.parquet'
685
+ - config_name: harness_hendrycksTest_nutrition_5
686
+ data_files:
687
+ - split: 2024_01_21T21_48_58.549252
688
+ path:
689
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T21-48-58.549252.parquet'
690
+ - split: latest
691
+ path:
692
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-21T21-48-58.549252.parquet'
693
+ - config_name: harness_hendrycksTest_philosophy_5
694
+ data_files:
695
+ - split: 2024_01_21T21_48_58.549252
696
+ path:
697
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T21-48-58.549252.parquet'
698
+ - split: latest
699
+ path:
700
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-21T21-48-58.549252.parquet'
701
+ - config_name: harness_hendrycksTest_prehistory_5
702
+ data_files:
703
+ - split: 2024_01_21T21_48_58.549252
704
+ path:
705
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T21-48-58.549252.parquet'
706
+ - split: latest
707
+ path:
708
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-21T21-48-58.549252.parquet'
709
+ - config_name: harness_hendrycksTest_professional_accounting_5
710
+ data_files:
711
+ - split: 2024_01_21T21_48_58.549252
712
+ path:
713
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T21-48-58.549252.parquet'
714
+ - split: latest
715
+ path:
716
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-21T21-48-58.549252.parquet'
717
+ - config_name: harness_hendrycksTest_professional_law_5
718
+ data_files:
719
+ - split: 2024_01_21T21_48_58.549252
720
+ path:
721
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T21-48-58.549252.parquet'
722
+ - split: latest
723
+ path:
724
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-21T21-48-58.549252.parquet'
725
+ - config_name: harness_hendrycksTest_professional_medicine_5
726
+ data_files:
727
+ - split: 2024_01_21T21_48_58.549252
728
+ path:
729
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T21-48-58.549252.parquet'
730
+ - split: latest
731
+ path:
732
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-21T21-48-58.549252.parquet'
733
+ - config_name: harness_hendrycksTest_professional_psychology_5
734
+ data_files:
735
+ - split: 2024_01_21T21_48_58.549252
736
+ path:
737
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T21-48-58.549252.parquet'
738
+ - split: latest
739
+ path:
740
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-21T21-48-58.549252.parquet'
741
+ - config_name: harness_hendrycksTest_public_relations_5
742
+ data_files:
743
+ - split: 2024_01_21T21_48_58.549252
744
+ path:
745
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T21-48-58.549252.parquet'
746
+ - split: latest
747
+ path:
748
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-21T21-48-58.549252.parquet'
749
+ - config_name: harness_hendrycksTest_security_studies_5
750
+ data_files:
751
+ - split: 2024_01_21T21_48_58.549252
752
+ path:
753
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T21-48-58.549252.parquet'
754
+ - split: latest
755
+ path:
756
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-21T21-48-58.549252.parquet'
757
+ - config_name: harness_hendrycksTest_sociology_5
758
+ data_files:
759
+ - split: 2024_01_21T21_48_58.549252
760
+ path:
761
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T21-48-58.549252.parquet'
762
+ - split: latest
763
+ path:
764
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-21T21-48-58.549252.parquet'
765
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
766
+ data_files:
767
+ - split: 2024_01_21T21_48_58.549252
768
+ path:
769
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T21-48-58.549252.parquet'
770
+ - split: latest
771
+ path:
772
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-21T21-48-58.549252.parquet'
773
+ - config_name: harness_hendrycksTest_virology_5
774
+ data_files:
775
+ - split: 2024_01_21T21_48_58.549252
776
+ path:
777
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-21T21-48-58.549252.parquet'
778
+ - split: latest
779
+ path:
780
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-21T21-48-58.549252.parquet'
781
+ - config_name: harness_hendrycksTest_world_religions_5
782
+ data_files:
783
+ - split: 2024_01_21T21_48_58.549252
784
+ path:
785
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T21-48-58.549252.parquet'
786
+ - split: latest
787
+ path:
788
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-21T21-48-58.549252.parquet'
789
+ - config_name: harness_truthfulqa_mc_0
790
+ data_files:
791
+ - split: 2024_01_21T21_48_58.549252
792
+ path:
793
+ - '**/details_harness|truthfulqa:mc|0_2024-01-21T21-48-58.549252.parquet'
794
+ - split: latest
795
+ path:
796
+ - '**/details_harness|truthfulqa:mc|0_2024-01-21T21-48-58.549252.parquet'
797
+ - config_name: harness_winogrande_5
798
+ data_files:
799
+ - split: 2024_01_21T21_48_58.549252
800
+ path:
801
+ - '**/details_harness|winogrande|5_2024-01-21T21-48-58.549252.parquet'
802
+ - split: latest
803
+ path:
804
+ - '**/details_harness|winogrande|5_2024-01-21T21-48-58.549252.parquet'
805
+ - config_name: results
806
+ data_files:
807
+ - split: 2024_01_21T21_48_58.549252
808
+ path:
809
+ - results_2024-01-21T21-48-58.549252.parquet
810
+ - split: latest
811
+ path:
812
+ - results_2024-01-21T21-48-58.549252.parquet
813
+ ---
814
+
815
+ # Dataset Card for Evaluation run of cognitivecomputations/MegaDolphin-120b
816
+
817
+ <!-- Provide a quick summary of the dataset. -->
818
+
819
+ Dataset automatically created during the evaluation run of model [cognitivecomputations/MegaDolphin-120b](https://huggingface.co/cognitivecomputations/MegaDolphin-120b) 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__MegaDolphin-120b",
831
+ "harness_winogrande_5",
832
+ split="train")
833
+ ```
834
+
835
+ ## Latest results
836
+
837
+ These are the [latest results from run 2024-01-21T21:48:58.549252](https://huggingface.co/datasets/open-llm-leaderboard/details_cognitivecomputations__MegaDolphin-120b/blob/main/results_2024-01-21T21-48-58.549252.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": 0.6902282983987049,
843
+ "acc_stderr": 0.03061680900457877,
844
+ "acc_norm": 0.6956826713561578,
845
+ "acc_norm_stderr": 0.03120808276540501,
846
+ "mc1": 0.41370869033047736,
847
+ "mc1_stderr": 0.017240861812099804,
848
+ "mc2": 0.592821117756168,
849
+ "mc2_stderr": 0.015249093012153285
850
+ },
851
+ "harness|arc:challenge|25": {
852
+ "acc": 0.643344709897611,
853
+ "acc_stderr": 0.013998056902620196,
854
+ "acc_norm": 0.6902730375426621,
855
+ "acc_norm_stderr": 0.013512058415238361
856
+ },
857
+ "harness|hellaswag|10": {
858
+ "acc": 0.7026488747261501,
859
+ "acc_stderr": 0.004561582009834577,
860
+ "acc_norm": 0.8780123481378211,
861
+ "acc_norm_stderr": 0.0032660269509226444
862
+ },
863
+ "harness|hendrycksTest-abstract_algebra|5": {
864
+ "acc": 0.31,
865
+ "acc_stderr": 0.04648231987117316,
866
+ "acc_norm": 0.31,
867
+ "acc_norm_stderr": 0.04648231987117316
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": 0.7828947368421053,
877
+ "acc_stderr": 0.03355045304882923,
878
+ "acc_norm": 0.7828947368421053,
879
+ "acc_norm_stderr": 0.03355045304882923
880
+ },
881
+ "harness|hendrycksTest-business_ethics|5": {
882
+ "acc": 0.78,
883
+ "acc_stderr": 0.04163331998932261,
884
+ "acc_norm": 0.78,
885
+ "acc_norm_stderr": 0.04163331998932261
886
+ },
887
+ "harness|hendrycksTest-clinical_knowledge|5": {
888
+ "acc": 0.7358490566037735,
889
+ "acc_stderr": 0.0271342916287417,
890
+ "acc_norm": 0.7358490566037735,
891
+ "acc_norm_stderr": 0.0271342916287417
892
+ },
893
+ "harness|hendrycksTest-college_biology|5": {
894
+ "acc": 0.8194444444444444,
895
+ "acc_stderr": 0.03216600808802268,
896
+ "acc_norm": 0.8194444444444444,
897
+ "acc_norm_stderr": 0.03216600808802268
898
+ },
899
+ "harness|hendrycksTest-college_chemistry|5": {
900
+ "acc": 0.44,
901
+ "acc_stderr": 0.04988876515698589,
902
+ "acc_norm": 0.44,
903
+ "acc_norm_stderr": 0.04988876515698589
904
+ },
905
+ "harness|hendrycksTest-college_computer_science|5": {
906
+ "acc": 0.55,
907
+ "acc_stderr": 0.05,
908
+ "acc_norm": 0.55,
909
+ "acc_norm_stderr": 0.05
910
+ },
911
+ "harness|hendrycksTest-college_mathematics|5": {
912
+ "acc": 0.31,
913
+ "acc_stderr": 0.04648231987117316,
914
+ "acc_norm": 0.31,
915
+ "acc_norm_stderr": 0.04648231987117316
916
+ },
917
+ "harness|hendrycksTest-college_medicine|5": {
918
+ "acc": 0.6936416184971098,
919
+ "acc_stderr": 0.035149425512674394,
920
+ "acc_norm": 0.6936416184971098,
921
+ "acc_norm_stderr": 0.035149425512674394
922
+ },
923
+ "harness|hendrycksTest-college_physics|5": {
924
+ "acc": 0.35294117647058826,
925
+ "acc_stderr": 0.04755129616062946,
926
+ "acc_norm": 0.35294117647058826,
927
+ "acc_norm_stderr": 0.04755129616062946
928
+ },
929
+ "harness|hendrycksTest-computer_security|5": {
930
+ "acc": 0.77,
931
+ "acc_stderr": 0.04229525846816507,
932
+ "acc_norm": 0.77,
933
+ "acc_norm_stderr": 0.04229525846816507
934
+ },
935
+ "harness|hendrycksTest-conceptual_physics|5": {
936
+ "acc": 0.6893617021276596,
937
+ "acc_stderr": 0.03025123757921317,
938
+ "acc_norm": 0.6893617021276596,
939
+ "acc_norm_stderr": 0.03025123757921317
940
+ },
941
+ "harness|hendrycksTest-econometrics|5": {
942
+ "acc": 0.5,
943
+ "acc_stderr": 0.047036043419179864,
944
+ "acc_norm": 0.5,
945
+ "acc_norm_stderr": 0.047036043419179864
946
+ },
947
+ "harness|hendrycksTest-electrical_engineering|5": {
948
+ "acc": 0.6620689655172414,
949
+ "acc_stderr": 0.039417076320648906,
950
+ "acc_norm": 0.6620689655172414,
951
+ "acc_norm_stderr": 0.039417076320648906
952
+ },
953
+ "harness|hendrycksTest-elementary_mathematics|5": {
954
+ "acc": 0.47619047619047616,
955
+ "acc_stderr": 0.025722097064388525,
956
+ "acc_norm": 0.47619047619047616,
957
+ "acc_norm_stderr": 0.025722097064388525
958
+ },
959
+ "harness|hendrycksTest-formal_logic|5": {
960
+ "acc": 0.5238095238095238,
961
+ "acc_stderr": 0.04467062628403273,
962
+ "acc_norm": 0.5238095238095238,
963
+ "acc_norm_stderr": 0.04467062628403273
964
+ },
965
+ "harness|hendrycksTest-global_facts|5": {
966
+ "acc": 0.48,
967
+ "acc_stderr": 0.050211673156867795,
968
+ "acc_norm": 0.48,
969
+ "acc_norm_stderr": 0.050211673156867795
970
+ },
971
+ "harness|hendrycksTest-high_school_biology|5": {
972
+ "acc": 0.8290322580645161,
973
+ "acc_stderr": 0.02141724293632158,
974
+ "acc_norm": 0.8290322580645161,
975
+ "acc_norm_stderr": 0.02141724293632158
976
+ },
977
+ "harness|hendrycksTest-high_school_chemistry|5": {
978
+ "acc": 0.5024630541871922,
979
+ "acc_stderr": 0.03517945038691063,
980
+ "acc_norm": 0.5024630541871922,
981
+ "acc_norm_stderr": 0.03517945038691063
982
+ },
983
+ "harness|hendrycksTest-high_school_computer_science|5": {
984
+ "acc": 0.74,
985
+ "acc_stderr": 0.0440844002276808,
986
+ "acc_norm": 0.74,
987
+ "acc_norm_stderr": 0.0440844002276808
988
+ },
989
+ "harness|hendrycksTest-high_school_european_history|5": {
990
+ "acc": 0.8484848484848485,
991
+ "acc_stderr": 0.027998073798781678,
992
+ "acc_norm": 0.8484848484848485,
993
+ "acc_norm_stderr": 0.027998073798781678
994
+ },
995
+ "harness|hendrycksTest-high_school_geography|5": {
996
+ "acc": 0.8585858585858586,
997
+ "acc_stderr": 0.02482590979334335,
998
+ "acc_norm": 0.8585858585858586,
999
+ "acc_norm_stderr": 0.02482590979334335
1000
+ },
1001
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1002
+ "acc": 0.9119170984455959,
1003
+ "acc_stderr": 0.02045374660160103,
1004
+ "acc_norm": 0.9119170984455959,
1005
+ "acc_norm_stderr": 0.02045374660160103
1006
+ },
1007
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1008
+ "acc": 0.7461538461538462,
1009
+ "acc_stderr": 0.022066054378726257,
1010
+ "acc_norm": 0.7461538461538462,
1011
+ "acc_norm_stderr": 0.022066054378726257
1012
+ },
1013
+ "harness|hendrycksTest-high_school_mathematics|5": {
1014
+ "acc": 0.3148148148148148,
1015
+ "acc_stderr": 0.02831753349606647,
1016
+ "acc_norm": 0.3148148148148148,
1017
+ "acc_norm_stderr": 0.02831753349606647
1018
+ },
1019
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1020
+ "acc": 0.7815126050420168,
1021
+ "acc_stderr": 0.02684151432295894,
1022
+ "acc_norm": 0.7815126050420168,
1023
+ "acc_norm_stderr": 0.02684151432295894
1024
+ },
1025
+ "harness|hendrycksTest-high_school_physics|5": {
1026
+ "acc": 0.4370860927152318,
1027
+ "acc_stderr": 0.04050035722230636,
1028
+ "acc_norm": 0.4370860927152318,
1029
+ "acc_norm_stderr": 0.04050035722230636
1030
+ },
1031
+ "harness|hendrycksTest-high_school_psychology|5": {
1032
+ "acc": 0.8844036697247707,
1033
+ "acc_stderr": 0.01370874953417264,
1034
+ "acc_norm": 0.8844036697247707,
1035
+ "acc_norm_stderr": 0.01370874953417264
1036
+ },
1037
+ "harness|hendrycksTest-high_school_statistics|5": {
1038
+ "acc": 0.5787037037037037,
1039
+ "acc_stderr": 0.03367462138896078,
1040
+ "acc_norm": 0.5787037037037037,
1041
+ "acc_norm_stderr": 0.03367462138896078
1042
+ },
1043
+ "harness|hendrycksTest-high_school_us_history|5": {
1044
+ "acc": 0.9313725490196079,
1045
+ "acc_stderr": 0.017744453647073315,
1046
+ "acc_norm": 0.9313725490196079,
1047
+ "acc_norm_stderr": 0.017744453647073315
1048
+ },
1049
+ "harness|hendrycksTest-high_school_world_history|5": {
1050
+ "acc": 0.890295358649789,
1051
+ "acc_stderr": 0.020343400734868834,
1052
+ "acc_norm": 0.890295358649789,
1053
+ "acc_norm_stderr": 0.020343400734868834
1054
+ },
1055
+ "harness|hendrycksTest-human_aging|5": {
1056
+ "acc": 0.7847533632286996,
1057
+ "acc_stderr": 0.02758406660220827,
1058
+ "acc_norm": 0.7847533632286996,
1059
+ "acc_norm_stderr": 0.02758406660220827
1060
+ },
1061
+ "harness|hendrycksTest-human_sexuality|5": {
1062
+ "acc": 0.816793893129771,
1063
+ "acc_stderr": 0.03392770926494733,
1064
+ "acc_norm": 0.816793893129771,
1065
+ "acc_norm_stderr": 0.03392770926494733
1066
+ },
1067
+ "harness|hendrycksTest-international_law|5": {
1068
+ "acc": 0.8842975206611571,
1069
+ "acc_stderr": 0.029199802455622814,
1070
+ "acc_norm": 0.8842975206611571,
1071
+ "acc_norm_stderr": 0.029199802455622814
1072
+ },
1073
+ "harness|hendrycksTest-jurisprudence|5": {
1074
+ "acc": 0.8148148148148148,
1075
+ "acc_stderr": 0.03755265865037181,
1076
+ "acc_norm": 0.8148148148148148,
1077
+ "acc_norm_stderr": 0.03755265865037181
1078
+ },
1079
+ "harness|hendrycksTest-logical_fallacies|5": {
1080
+ "acc": 0.8466257668711656,
1081
+ "acc_stderr": 0.028311601441438607,
1082
+ "acc_norm": 0.8466257668711656,
1083
+ "acc_norm_stderr": 0.028311601441438607
1084
+ },
1085
+ "harness|hendrycksTest-machine_learning|5": {
1086
+ "acc": 0.5714285714285714,
1087
+ "acc_stderr": 0.04697113923010212,
1088
+ "acc_norm": 0.5714285714285714,
1089
+ "acc_norm_stderr": 0.04697113923010212
1090
+ },
1091
+ "harness|hendrycksTest-management|5": {
1092
+ "acc": 0.8058252427184466,
1093
+ "acc_stderr": 0.03916667762822582,
1094
+ "acc_norm": 0.8058252427184466,
1095
+ "acc_norm_stderr": 0.03916667762822582
1096
+ },
1097
+ "harness|hendrycksTest-marketing|5": {
1098
+ "acc": 0.905982905982906,
1099
+ "acc_stderr": 0.019119892798924974,
1100
+ "acc_norm": 0.905982905982906,
1101
+ "acc_norm_stderr": 0.019119892798924974
1102
+ },
1103
+ "harness|hendrycksTest-medical_genetics|5": {
1104
+ "acc": 0.67,
1105
+ "acc_stderr": 0.04725815626252606,
1106
+ "acc_norm": 0.67,
1107
+ "acc_norm_stderr": 0.04725815626252606
1108
+ },
1109
+ "harness|hendrycksTest-miscellaneous|5": {
1110
+ "acc": 0.8441890166028098,
1111
+ "acc_stderr": 0.012969269247762578,
1112
+ "acc_norm": 0.8441890166028098,
1113
+ "acc_norm_stderr": 0.012969269247762578
1114
+ },
1115
+ "harness|hendrycksTest-moral_disputes|5": {
1116
+ "acc": 0.7832369942196532,
1117
+ "acc_stderr": 0.022183477668412856,
1118
+ "acc_norm": 0.7832369942196532,
1119
+ "acc_norm_stderr": 0.022183477668412856
1120
+ },
1121
+ "harness|hendrycksTest-moral_scenarios|5": {
1122
+ "acc": 0.5150837988826815,
1123
+ "acc_stderr": 0.01671489037999606,
1124
+ "acc_norm": 0.5150837988826815,
1125
+ "acc_norm_stderr": 0.01671489037999606
1126
+ },
1127
+ "harness|hendrycksTest-nutrition|5": {
1128
+ "acc": 0.738562091503268,
1129
+ "acc_stderr": 0.025160998214292456,
1130
+ "acc_norm": 0.738562091503268,
1131
+ "acc_norm_stderr": 0.025160998214292456
1132
+ },
1133
+ "harness|hendrycksTest-philosophy|5": {
1134
+ "acc": 0.7684887459807074,
1135
+ "acc_stderr": 0.023956532766639133,
1136
+ "acc_norm": 0.7684887459807074,
1137
+ "acc_norm_stderr": 0.023956532766639133
1138
+ },
1139
+ "harness|hendrycksTest-prehistory|5": {
1140
+ "acc": 0.8148148148148148,
1141
+ "acc_stderr": 0.02161380939522479,
1142
+ "acc_norm": 0.8148148148148148,
1143
+ "acc_norm_stderr": 0.02161380939522479
1144
+ },
1145
+ "harness|hendrycksTest-professional_accounting|5": {
1146
+ "acc": 0.5567375886524822,
1147
+ "acc_stderr": 0.029634838473766006,
1148
+ "acc_norm": 0.5567375886524822,
1149
+ "acc_norm_stderr": 0.029634838473766006
1150
+ },
1151
+ "harness|hendrycksTest-professional_law|5": {
1152
+ "acc": 0.5867014341590613,
1153
+ "acc_stderr": 0.012576779494860076,
1154
+ "acc_norm": 0.5867014341590613,
1155
+ "acc_norm_stderr": 0.012576779494860076
1156
+ },
1157
+ "harness|hendrycksTest-professional_medicine|5": {
1158
+ "acc": 0.7095588235294118,
1159
+ "acc_stderr": 0.027576468622740533,
1160
+ "acc_norm": 0.7095588235294118,
1161
+ "acc_norm_stderr": 0.027576468622740533
1162
+ },
1163
+ "harness|hendrycksTest-professional_psychology|5": {
1164
+ "acc": 0.7565359477124183,
1165
+ "acc_stderr": 0.017362473762146606,
1166
+ "acc_norm": 0.7565359477124183,
1167
+ "acc_norm_stderr": 0.017362473762146606
1168
+ },
1169
+ "harness|hendrycksTest-public_relations|5": {
1170
+ "acc": 0.7181818181818181,
1171
+ "acc_stderr": 0.043091187099464585,
1172
+ "acc_norm": 0.7181818181818181,
1173
+ "acc_norm_stderr": 0.043091187099464585
1174
+ },
1175
+ "harness|hendrycksTest-security_studies|5": {
1176
+ "acc": 0.7714285714285715,
1177
+ "acc_stderr": 0.02688214492230774,
1178
+ "acc_norm": 0.7714285714285715,
1179
+ "acc_norm_stderr": 0.02688214492230774
1180
+ },
1181
+ "harness|hendrycksTest-sociology|5": {
1182
+ "acc": 0.8557213930348259,
1183
+ "acc_stderr": 0.024845753212306046,
1184
+ "acc_norm": 0.8557213930348259,
1185
+ "acc_norm_stderr": 0.024845753212306046
1186
+ },
1187
+ "harness|hendrycksTest-us_foreign_policy|5": {
1188
+ "acc": 0.86,
1189
+ "acc_stderr": 0.03487350880197769,
1190
+ "acc_norm": 0.86,
1191
+ "acc_norm_stderr": 0.03487350880197769
1192
+ },
1193
+ "harness|hendrycksTest-virology|5": {
1194
+ "acc": 0.5240963855421686,
1195
+ "acc_stderr": 0.03887971849597264,
1196
+ "acc_norm": 0.5240963855421686,
1197
+ "acc_norm_stderr": 0.03887971849597264
1198
+ },
1199
+ "harness|hendrycksTest-world_religions|5": {
1200
+ "acc": 0.8421052631578947,
1201
+ "acc_stderr": 0.027966785859160896,
1202
+ "acc_norm": 0.8421052631578947,
1203
+ "acc_norm_stderr": 0.027966785859160896
1204
+ },
1205
+ "harness|truthfulqa:mc|0": {
1206
+ "mc1": 0.41370869033047736,
1207
+ "mc1_stderr": 0.017240861812099804,
1208
+ "mc2": 0.592821117756168,
1209
+ "mc2_stderr": 0.015249093012153285
1210
+ },
1211
+ "harness|winogrande|5": {
1212
+ "acc": 0.8184688239936859,
1213
+ "acc_stderr": 0.010833276515007508
1214
+ },
1215
+ "harness|gsm8k|5": {
1216
+ "acc": 0.4624715693707354,
1217
+ "acc_stderr": 0.013733636059107756
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]