Hugging Face's logo

Datasets:
open-llm-leaderboard
/
details_Weyaxi__MetaMath-Chupacabra-7B-v2.01-Slerp

Dataset card Files Community
open-llm-bot commited on
Commit
182f865
•
1 Parent(s): 88fac8a

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 Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp](https://huggingface.co/Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp)\
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_Weyaxi__MetaMath-Chupacabra-7B-v2.01-Slerp\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-01-05T22:05:07.784133](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-Chupacabra-7B-v2.01-Slerp/blob/main/results_2024-01-05T22-05-07.784133.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\": 0.6421917229806724,\n\
20
+ \ \"acc_stderr\": 0.03217202229009188,\n \"acc_norm\": 0.642221582577422,\n\
21
+ \ \"acc_norm_stderr\": 0.03283371099721053,\n \"mc1\": 0.3953488372093023,\n\
22
+ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5616453632542725,\n\
23
+ \ \"mc2_stderr\": 0.015418290156836063\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.6279863481228669,\n \"acc_stderr\": 0.014124597881844461,\n\
25
+ \ \"acc_norm\": 0.659556313993174,\n \"acc_norm_stderr\": 0.01384746051889298\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6671977693686517,\n\
27
+ \ \"acc_stderr\": 0.004702533775930292,\n \"acc_norm\": 0.8546106353316073,\n\
28
+ \ \"acc_norm_stderr\": 0.0035177257870177437\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
30
+ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
32
+ \ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\
33
+ \ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.6973684210526315,\n \"acc_stderr\": 0.03738520676119669,\n\
35
+ \ \"acc_norm\": 0.6973684210526315,\n \"acc_norm_stderr\": 0.03738520676119669\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.6,\n\
37
+ \ \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n \
38
+ \ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322663,\n\
40
+ \ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322663\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7291666666666666,\n\
42
+ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\
43
+ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \
45
+ \ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
47
+ : 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n\
48
+ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
50
+ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\
52
+ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\
53
+ \ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726366,\n\
55
+ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726366\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\
58
+ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.574468085106383,\n \"acc_stderr\": 0.03232146916224468,\n\
60
+ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.03232146916224468\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\
62
+ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\
63
+ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192118,\n\
65
+ \ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192118\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.4126984126984127,\n \"acc_stderr\": 0.02535574126305526,\n \"\
68
+ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.02535574126305526\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3968253968253968,\n\
70
+ \ \"acc_stderr\": 0.043758884927270605,\n \"acc_norm\": 0.3968253968253968,\n\
71
+ \ \"acc_norm_stderr\": 0.043758884927270605\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952344,\n \
73
+ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952344\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
75
+ : 0.7709677419354839,\n \"acc_stderr\": 0.023904914311782648,\n \"\
76
+ acc_norm\": 0.7709677419354839,\n \"acc_norm_stderr\": 0.023904914311782648\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
78
+ : 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n \"\
79
+ acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\
80
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
81
+ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\
82
+ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
83
+ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.03256866661681102,\n\
84
+ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.03256866661681102\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
86
+ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586818,\n \"\
87
+ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586818\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
89
+ \ \"acc\": 0.8808290155440415,\n \"acc_stderr\": 0.02338193534812143,\n\
90
+ \ \"acc_norm\": 0.8808290155440415,\n \"acc_norm_stderr\": 0.02338193534812143\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
92
+ \ \"acc\": 0.6538461538461539,\n \"acc_stderr\": 0.02412112541694119,\n \
93
+ \ \"acc_norm\": 0.6538461538461539,\n \"acc_norm_stderr\": 0.02412112541694119\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
95
+ acc\": 0.337037037037037,\n \"acc_stderr\": 0.02882088466625326,\n \
96
+ \ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.02882088466625326\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
98
+ \ \"acc\": 0.6848739495798319,\n \"acc_stderr\": 0.030176808288974337,\n\
99
+ \ \"acc_norm\": 0.6848739495798319,\n \"acc_norm_stderr\": 0.030176808288974337\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
101
+ : 0.32450331125827814,\n \"acc_stderr\": 0.038227469376587525,\n \"\
102
+ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.038227469376587525\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
104
+ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\
105
+ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
107
+ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\
108
+ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
110
+ : 0.8088235294117647,\n \"acc_stderr\": 0.027599174300640766,\n \"\
111
+ acc_norm\": 0.8088235294117647,\n \"acc_norm_stderr\": 0.027599174300640766\n\
112
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
113
+ acc\": 0.7974683544303798,\n \"acc_stderr\": 0.026160568246601446,\n \
114
+ \ \"acc_norm\": 0.7974683544303798,\n \"acc_norm_stderr\": 0.026160568246601446\n\
115
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\
116
+ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\
117
+ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
118
+ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.037683359597287434,\n\
119
+ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.037683359597287434\n\
120
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
121
+ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228733,\n \"\
122
+ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228733\n\
123
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\
124
+ \ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\
125
+ \ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
126
+ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\
127
+ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\
128
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.48214285714285715,\n\
129
+ \ \"acc_stderr\": 0.047427623612430116,\n \"acc_norm\": 0.48214285714285715,\n\
130
+ \ \"acc_norm_stderr\": 0.047427623612430116\n },\n \"harness|hendrycksTest-management|5\"\
131
+ : {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\
132
+ \ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\
133
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8760683760683761,\n\
134
+ \ \"acc_stderr\": 0.02158649400128138,\n \"acc_norm\": 0.8760683760683761,\n\
135
+ \ \"acc_norm_stderr\": 0.02158649400128138\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
136
+ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
137
+ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
138
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8212005108556832,\n\
139
+ \ \"acc_stderr\": 0.013702643715368982,\n \"acc_norm\": 0.8212005108556832,\n\
140
+ \ \"acc_norm_stderr\": 0.013702643715368982\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
141
+ : {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.023948512905468365,\n\
142
+ \ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.023948512905468365\n\
143
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.41564245810055866,\n\
144
+ \ \"acc_stderr\": 0.01648278218750067,\n \"acc_norm\": 0.41564245810055866,\n\
145
+ \ \"acc_norm_stderr\": 0.01648278218750067\n },\n \"harness|hendrycksTest-nutrition|5\"\
146
+ : {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818737,\n\
147
+ \ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818737\n\
148
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\
149
+ \ \"acc_stderr\": 0.02575586592263295,\n \"acc_norm\": 0.7106109324758842,\n\
150
+ \ \"acc_norm_stderr\": 0.02575586592263295\n },\n \"harness|hendrycksTest-prehistory|5\"\
151
+ : {\n \"acc\": 0.7253086419753086,\n \"acc_stderr\": 0.024836057868294677,\n\
152
+ \ \"acc_norm\": 0.7253086419753086,\n \"acc_norm_stderr\": 0.024836057868294677\n\
153
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
154
+ acc\": 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \
155
+ \ \"acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\
156
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45241199478487615,\n\
157
+ \ \"acc_stderr\": 0.012712265105889133,\n \"acc_norm\": 0.45241199478487615,\n\
158
+ \ \"acc_norm_stderr\": 0.012712265105889133\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
159
+ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\
160
+ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\
161
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
162
+ acc\": 0.6666666666666666,\n \"acc_stderr\": 0.0190709855896875,\n \
163
+ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.0190709855896875\n\
164
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\
165
+ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\
166
+ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\
167
+ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142783,\n\
168
+ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142783\n\
169
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.845771144278607,\n\
170
+ \ \"acc_stderr\": 0.025538433368578327,\n \"acc_norm\": 0.845771144278607,\n\
171
+ \ \"acc_norm_stderr\": 0.025538433368578327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
172
+ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \
173
+ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \
174
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5180722891566265,\n\
175
+ \ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\
176
+ \ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness|hendrycksTest-world_religions|5\"\
177
+ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\
178
+ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\
179
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3953488372093023,\n\
180
+ \ \"mc1_stderr\": 0.017115815632418197,\n \"mc2\": 0.5616453632542725,\n\
181
+ \ \"mc2_stderr\": 0.015418290156836063\n },\n \"harness|winogrande|5\"\
182
+ : {\n \"acc\": 0.8003157063930545,\n \"acc_stderr\": 0.011235328382625842\n\
183
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7012888551933283,\n \
184
+ \ \"acc_stderr\": 0.012607137125693627\n }\n}\n```"
185
+ repo_url: https://huggingface.co/Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp
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_05T22_05_07.784133
192
+ path:
193
+ - '**/details_harness|arc:challenge|25_2024-01-05T22-05-07.784133.parquet'
194
+ - split: latest
195
+ path:
196
+ - '**/details_harness|arc:challenge|25_2024-01-05T22-05-07.784133.parquet'
197
+ - config_name: harness_gsm8k_5
198
+ data_files:
199
+ - split: 2024_01_05T22_05_07.784133
200
+ path:
201
+ - '**/details_harness|gsm8k|5_2024-01-05T22-05-07.784133.parquet'
202
+ - split: latest
203
+ path:
204
+ - '**/details_harness|gsm8k|5_2024-01-05T22-05-07.784133.parquet'
205
+ - config_name: harness_hellaswag_10
206
+ data_files:
207
+ - split: 2024_01_05T22_05_07.784133
208
+ path:
209
+ - '**/details_harness|hellaswag|10_2024-01-05T22-05-07.784133.parquet'
210
+ - split: latest
211
+ path:
212
+ - '**/details_harness|hellaswag|10_2024-01-05T22-05-07.784133.parquet'
213
+ - config_name: harness_hendrycksTest_5
214
+ data_files:
215
+ - split: 2024_01_05T22_05_07.784133
216
+ path:
217
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T22-05-07.784133.parquet'
218
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T22-05-07.784133.parquet'
219
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T22-05-07.784133.parquet'
220
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T22-05-07.784133.parquet'
221
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T22-05-07.784133.parquet'
222
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T22-05-07.784133.parquet'
223
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T22-05-07.784133.parquet'
224
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T22-05-07.784133.parquet'
225
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T22-05-07.784133.parquet'
226
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T22-05-07.784133.parquet'
227
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T22-05-07.784133.parquet'
228
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T22-05-07.784133.parquet'
229
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T22-05-07.784133.parquet'
230
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T22-05-07.784133.parquet'
231
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T22-05-07.784133.parquet'
232
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T22-05-07.784133.parquet'
233
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T22-05-07.784133.parquet'
234
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T22-05-07.784133.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T22-05-07.784133.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T22-05-07.784133.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T22-05-07.784133.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T22-05-07.784133.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T22-05-07.784133.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T22-05-07.784133.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T22-05-07.784133.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T22-05-07.784133.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T22-05-07.784133.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T22-05-07.784133.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T22-05-07.784133.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T22-05-07.784133.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T22-05-07.784133.parquet'
248
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T22-05-07.784133.parquet'
249
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T22-05-07.784133.parquet'
250
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T22-05-07.784133.parquet'
251
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T22-05-07.784133.parquet'
252
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T22-05-07.784133.parquet'
253
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T22-05-07.784133.parquet'
254
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T22-05-07.784133.parquet'
255
+ - '**/details_harness|hendrycksTest-management|5_2024-01-05T22-05-07.784133.parquet'
256
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T22-05-07.784133.parquet'
257
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T22-05-07.784133.parquet'
258
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T22-05-07.784133.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T22-05-07.784133.parquet'
260
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T22-05-07.784133.parquet'
261
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T22-05-07.784133.parquet'
262
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T22-05-07.784133.parquet'
263
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T22-05-07.784133.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T22-05-07.784133.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T22-05-07.784133.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T22-05-07.784133.parquet'
267
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T22-05-07.784133.parquet'
268
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T22-05-07.784133.parquet'
269
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T22-05-07.784133.parquet'
270
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T22-05-07.784133.parquet'
271
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T22-05-07.784133.parquet'
272
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-05T22-05-07.784133.parquet'
273
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T22-05-07.784133.parquet'
274
+ - split: latest
275
+ path:
276
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T22-05-07.784133.parquet'
277
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T22-05-07.784133.parquet'
278
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T22-05-07.784133.parquet'
279
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T22-05-07.784133.parquet'
280
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T22-05-07.784133.parquet'
281
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T22-05-07.784133.parquet'
282
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T22-05-07.784133.parquet'
283
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T22-05-07.784133.parquet'
284
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T22-05-07.784133.parquet'
285
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T22-05-07.784133.parquet'
286
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T22-05-07.784133.parquet'
287
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T22-05-07.784133.parquet'
288
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T22-05-07.784133.parquet'
289
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T22-05-07.784133.parquet'
290
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T22-05-07.784133.parquet'
291
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T22-05-07.784133.parquet'
292
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T22-05-07.784133.parquet'
293
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T22-05-07.784133.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T22-05-07.784133.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T22-05-07.784133.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T22-05-07.784133.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T22-05-07.784133.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T22-05-07.784133.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T22-05-07.784133.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T22-05-07.784133.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T22-05-07.784133.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T22-05-07.784133.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T22-05-07.784133.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T22-05-07.784133.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T22-05-07.784133.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T22-05-07.784133.parquet'
307
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T22-05-07.784133.parquet'
308
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T22-05-07.784133.parquet'
309
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T22-05-07.784133.parquet'
310
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T22-05-07.784133.parquet'
311
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T22-05-07.784133.parquet'
312
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T22-05-07.784133.parquet'
313
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T22-05-07.784133.parquet'
314
+ - '**/details_harness|hendrycksTest-management|5_2024-01-05T22-05-07.784133.parquet'
315
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T22-05-07.784133.parquet'
316
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T22-05-07.784133.parquet'
317
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T22-05-07.784133.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T22-05-07.784133.parquet'
319
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T22-05-07.784133.parquet'
320
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T22-05-07.784133.parquet'
321
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T22-05-07.784133.parquet'
322
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T22-05-07.784133.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T22-05-07.784133.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T22-05-07.784133.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T22-05-07.784133.parquet'
326
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T22-05-07.784133.parquet'
327
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T22-05-07.784133.parquet'
328
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T22-05-07.784133.parquet'
329
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T22-05-07.784133.parquet'
330
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T22-05-07.784133.parquet'
331
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-05T22-05-07.784133.parquet'
332
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T22-05-07.784133.parquet'
333
+ - config_name: harness_hendrycksTest_abstract_algebra_5
334
+ data_files:
335
+ - split: 2024_01_05T22_05_07.784133
336
+ path:
337
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T22-05-07.784133.parquet'
338
+ - split: latest
339
+ path:
340
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T22-05-07.784133.parquet'
341
+ - config_name: harness_hendrycksTest_anatomy_5
342
+ data_files:
343
+ - split: 2024_01_05T22_05_07.784133
344
+ path:
345
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T22-05-07.784133.parquet'
346
+ - split: latest
347
+ path:
348
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T22-05-07.784133.parquet'
349
+ - config_name: harness_hendrycksTest_astronomy_5
350
+ data_files:
351
+ - split: 2024_01_05T22_05_07.784133
352
+ path:
353
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T22-05-07.784133.parquet'
354
+ - split: latest
355
+ path:
356
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T22-05-07.784133.parquet'
357
+ - config_name: harness_hendrycksTest_business_ethics_5
358
+ data_files:
359
+ - split: 2024_01_05T22_05_07.784133
360
+ path:
361
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T22-05-07.784133.parquet'
362
+ - split: latest
363
+ path:
364
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T22-05-07.784133.parquet'
365
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
366
+ data_files:
367
+ - split: 2024_01_05T22_05_07.784133
368
+ path:
369
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T22-05-07.784133.parquet'
370
+ - split: latest
371
+ path:
372
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T22-05-07.784133.parquet'
373
+ - config_name: harness_hendrycksTest_college_biology_5
374
+ data_files:
375
+ - split: 2024_01_05T22_05_07.784133
376
+ path:
377
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T22-05-07.784133.parquet'
378
+ - split: latest
379
+ path:
380
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T22-05-07.784133.parquet'
381
+ - config_name: harness_hendrycksTest_college_chemistry_5
382
+ data_files:
383
+ - split: 2024_01_05T22_05_07.784133
384
+ path:
385
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T22-05-07.784133.parquet'
386
+ - split: latest
387
+ path:
388
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T22-05-07.784133.parquet'
389
+ - config_name: harness_hendrycksTest_college_computer_science_5
390
+ data_files:
391
+ - split: 2024_01_05T22_05_07.784133
392
+ path:
393
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T22-05-07.784133.parquet'
394
+ - split: latest
395
+ path:
396
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T22-05-07.784133.parquet'
397
+ - config_name: harness_hendrycksTest_college_mathematics_5
398
+ data_files:
399
+ - split: 2024_01_05T22_05_07.784133
400
+ path:
401
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T22-05-07.784133.parquet'
402
+ - split: latest
403
+ path:
404
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T22-05-07.784133.parquet'
405
+ - config_name: harness_hendrycksTest_college_medicine_5
406
+ data_files:
407
+ - split: 2024_01_05T22_05_07.784133
408
+ path:
409
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T22-05-07.784133.parquet'
410
+ - split: latest
411
+ path:
412
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T22-05-07.784133.parquet'
413
+ - config_name: harness_hendrycksTest_college_physics_5
414
+ data_files:
415
+ - split: 2024_01_05T22_05_07.784133
416
+ path:
417
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T22-05-07.784133.parquet'
418
+ - split: latest
419
+ path:
420
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T22-05-07.784133.parquet'
421
+ - config_name: harness_hendrycksTest_computer_security_5
422
+ data_files:
423
+ - split: 2024_01_05T22_05_07.784133
424
+ path:
425
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T22-05-07.784133.parquet'
426
+ - split: latest
427
+ path:
428
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T22-05-07.784133.parquet'
429
+ - config_name: harness_hendrycksTest_conceptual_physics_5
430
+ data_files:
431
+ - split: 2024_01_05T22_05_07.784133
432
+ path:
433
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T22-05-07.784133.parquet'
434
+ - split: latest
435
+ path:
436
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T22-05-07.784133.parquet'
437
+ - config_name: harness_hendrycksTest_econometrics_5
438
+ data_files:
439
+ - split: 2024_01_05T22_05_07.784133
440
+ path:
441
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T22-05-07.784133.parquet'
442
+ - split: latest
443
+ path:
444
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T22-05-07.784133.parquet'
445
+ - config_name: harness_hendrycksTest_electrical_engineering_5
446
+ data_files:
447
+ - split: 2024_01_05T22_05_07.784133
448
+ path:
449
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T22-05-07.784133.parquet'
450
+ - split: latest
451
+ path:
452
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T22-05-07.784133.parquet'
453
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
454
+ data_files:
455
+ - split: 2024_01_05T22_05_07.784133
456
+ path:
457
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T22-05-07.784133.parquet'
458
+ - split: latest
459
+ path:
460
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T22-05-07.784133.parquet'
461
+ - config_name: harness_hendrycksTest_formal_logic_5
462
+ data_files:
463
+ - split: 2024_01_05T22_05_07.784133
464
+ path:
465
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T22-05-07.784133.parquet'
466
+ - split: latest
467
+ path:
468
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T22-05-07.784133.parquet'
469
+ - config_name: harness_hendrycksTest_global_facts_5
470
+ data_files:
471
+ - split: 2024_01_05T22_05_07.784133
472
+ path:
473
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T22-05-07.784133.parquet'
474
+ - split: latest
475
+ path:
476
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T22-05-07.784133.parquet'
477
+ - config_name: harness_hendrycksTest_high_school_biology_5
478
+ data_files:
479
+ - split: 2024_01_05T22_05_07.784133
480
+ path:
481
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T22-05-07.784133.parquet'
482
+ - split: latest
483
+ path:
484
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T22-05-07.784133.parquet'
485
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
486
+ data_files:
487
+ - split: 2024_01_05T22_05_07.784133
488
+ path:
489
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T22-05-07.784133.parquet'
490
+ - split: latest
491
+ path:
492
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T22-05-07.784133.parquet'
493
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
494
+ data_files:
495
+ - split: 2024_01_05T22_05_07.784133
496
+ path:
497
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T22-05-07.784133.parquet'
498
+ - split: latest
499
+ path:
500
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T22-05-07.784133.parquet'
501
+ - config_name: harness_hendrycksTest_high_school_european_history_5
502
+ data_files:
503
+ - split: 2024_01_05T22_05_07.784133
504
+ path:
505
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T22-05-07.784133.parquet'
506
+ - split: latest
507
+ path:
508
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T22-05-07.784133.parquet'
509
+ - config_name: harness_hendrycksTest_high_school_geography_5
510
+ data_files:
511
+ - split: 2024_01_05T22_05_07.784133
512
+ path:
513
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T22-05-07.784133.parquet'
514
+ - split: latest
515
+ path:
516
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T22-05-07.784133.parquet'
517
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
518
+ data_files:
519
+ - split: 2024_01_05T22_05_07.784133
520
+ path:
521
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T22-05-07.784133.parquet'
522
+ - split: latest
523
+ path:
524
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T22-05-07.784133.parquet'
525
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
526
+ data_files:
527
+ - split: 2024_01_05T22_05_07.784133
528
+ path:
529
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T22-05-07.784133.parquet'
530
+ - split: latest
531
+ path:
532
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T22-05-07.784133.parquet'
533
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
534
+ data_files:
535
+ - split: 2024_01_05T22_05_07.784133
536
+ path:
537
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T22-05-07.784133.parquet'
538
+ - split: latest
539
+ path:
540
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T22-05-07.784133.parquet'
541
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
542
+ data_files:
543
+ - split: 2024_01_05T22_05_07.784133
544
+ path:
545
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T22-05-07.784133.parquet'
546
+ - split: latest
547
+ path:
548
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T22-05-07.784133.parquet'
549
+ - config_name: harness_hendrycksTest_high_school_physics_5
550
+ data_files:
551
+ - split: 2024_01_05T22_05_07.784133
552
+ path:
553
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T22-05-07.784133.parquet'
554
+ - split: latest
555
+ path:
556
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T22-05-07.784133.parquet'
557
+ - config_name: harness_hendrycksTest_high_school_psychology_5
558
+ data_files:
559
+ - split: 2024_01_05T22_05_07.784133
560
+ path:
561
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T22-05-07.784133.parquet'
562
+ - split: latest
563
+ path:
564
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T22-05-07.784133.parquet'
565
+ - config_name: harness_hendrycksTest_high_school_statistics_5
566
+ data_files:
567
+ - split: 2024_01_05T22_05_07.784133
568
+ path:
569
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T22-05-07.784133.parquet'
570
+ - split: latest
571
+ path:
572
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T22-05-07.784133.parquet'
573
+ - config_name: harness_hendrycksTest_high_school_us_history_5
574
+ data_files:
575
+ - split: 2024_01_05T22_05_07.784133
576
+ path:
577
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T22-05-07.784133.parquet'
578
+ - split: latest
579
+ path:
580
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T22-05-07.784133.parquet'
581
+ - config_name: harness_hendrycksTest_high_school_world_history_5
582
+ data_files:
583
+ - split: 2024_01_05T22_05_07.784133
584
+ path:
585
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T22-05-07.784133.parquet'
586
+ - split: latest
587
+ path:
588
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T22-05-07.784133.parquet'
589
+ - config_name: harness_hendrycksTest_human_aging_5
590
+ data_files:
591
+ - split: 2024_01_05T22_05_07.784133
592
+ path:
593
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T22-05-07.784133.parquet'
594
+ - split: latest
595
+ path:
596
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T22-05-07.784133.parquet'
597
+ - config_name: harness_hendrycksTest_human_sexuality_5
598
+ data_files:
599
+ - split: 2024_01_05T22_05_07.784133
600
+ path:
601
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T22-05-07.784133.parquet'
602
+ - split: latest
603
+ path:
604
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T22-05-07.784133.parquet'
605
+ - config_name: harness_hendrycksTest_international_law_5
606
+ data_files:
607
+ - split: 2024_01_05T22_05_07.784133
608
+ path:
609
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T22-05-07.784133.parquet'
610
+ - split: latest
611
+ path:
612
+ - '**/details_harness|hendrycksTest-international_law|5_2024-01-05T22-05-07.784133.parquet'
613
+ - config_name: harness_hendrycksTest_jurisprudence_5
614
+ data_files:
615
+ - split: 2024_01_05T22_05_07.784133
616
+ path:
617
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T22-05-07.784133.parquet'
618
+ - split: latest
619
+ path:
620
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T22-05-07.784133.parquet'
621
+ - config_name: harness_hendrycksTest_logical_fallacies_5
622
+ data_files:
623
+ - split: 2024_01_05T22_05_07.784133
624
+ path:
625
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T22-05-07.784133.parquet'
626
+ - split: latest
627
+ path:
628
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T22-05-07.784133.parquet'
629
+ - config_name: harness_hendrycksTest_machine_learning_5
630
+ data_files:
631
+ - split: 2024_01_05T22_05_07.784133
632
+ path:
633
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T22-05-07.784133.parquet'
634
+ - split: latest
635
+ path:
636
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T22-05-07.784133.parquet'
637
+ - config_name: harness_hendrycksTest_management_5
638
+ data_files:
639
+ - split: 2024_01_05T22_05_07.784133
640
+ path:
641
+ - '**/details_harness|hendrycksTest-management|5_2024-01-05T22-05-07.784133.parquet'
642
+ - split: latest
643
+ path:
644
+ - '**/details_harness|hendrycksTest-management|5_2024-01-05T22-05-07.784133.parquet'
645
+ - config_name: harness_hendrycksTest_marketing_5
646
+ data_files:
647
+ - split: 2024_01_05T22_05_07.784133
648
+ path:
649
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T22-05-07.784133.parquet'
650
+ - split: latest
651
+ path:
652
+ - '**/details_harness|hendrycksTest-marketing|5_2024-01-05T22-05-07.784133.parquet'
653
+ - config_name: harness_hendrycksTest_medical_genetics_5
654
+ data_files:
655
+ - split: 2024_01_05T22_05_07.784133
656
+ path:
657
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T22-05-07.784133.parquet'
658
+ - split: latest
659
+ path:
660
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T22-05-07.784133.parquet'
661
+ - config_name: harness_hendrycksTest_miscellaneous_5
662
+ data_files:
663
+ - split: 2024_01_05T22_05_07.784133
664
+ path:
665
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T22-05-07.784133.parquet'
666
+ - split: latest
667
+ path:
668
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T22-05-07.784133.parquet'
669
+ - config_name: harness_hendrycksTest_moral_disputes_5
670
+ data_files:
671
+ - split: 2024_01_05T22_05_07.784133
672
+ path:
673
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T22-05-07.784133.parquet'
674
+ - split: latest
675
+ path:
676
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T22-05-07.784133.parquet'
677
+ - config_name: harness_hendrycksTest_moral_scenarios_5
678
+ data_files:
679
+ - split: 2024_01_05T22_05_07.784133
680
+ path:
681
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T22-05-07.784133.parquet'
682
+ - split: latest
683
+ path:
684
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T22-05-07.784133.parquet'
685
+ - config_name: harness_hendrycksTest_nutrition_5
686
+ data_files:
687
+ - split: 2024_01_05T22_05_07.784133
688
+ path:
689
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T22-05-07.784133.parquet'
690
+ - split: latest
691
+ path:
692
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T22-05-07.784133.parquet'
693
+ - config_name: harness_hendrycksTest_philosophy_5
694
+ data_files:
695
+ - split: 2024_01_05T22_05_07.784133
696
+ path:
697
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T22-05-07.784133.parquet'
698
+ - split: latest
699
+ path:
700
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T22-05-07.784133.parquet'
701
+ - config_name: harness_hendrycksTest_prehistory_5
702
+ data_files:
703
+ - split: 2024_01_05T22_05_07.784133
704
+ path:
705
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T22-05-07.784133.parquet'
706
+ - split: latest
707
+ path:
708
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T22-05-07.784133.parquet'
709
+ - config_name: harness_hendrycksTest_professional_accounting_5
710
+ data_files:
711
+ - split: 2024_01_05T22_05_07.784133
712
+ path:
713
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T22-05-07.784133.parquet'
714
+ - split: latest
715
+ path:
716
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T22-05-07.784133.parquet'
717
+ - config_name: harness_hendrycksTest_professional_law_5
718
+ data_files:
719
+ - split: 2024_01_05T22_05_07.784133
720
+ path:
721
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T22-05-07.784133.parquet'
722
+ - split: latest
723
+ path:
724
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T22-05-07.784133.parquet'
725
+ - config_name: harness_hendrycksTest_professional_medicine_5
726
+ data_files:
727
+ - split: 2024_01_05T22_05_07.784133
728
+ path:
729
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T22-05-07.784133.parquet'
730
+ - split: latest
731
+ path:
732
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T22-05-07.784133.parquet'
733
+ - config_name: harness_hendrycksTest_professional_psychology_5
734
+ data_files:
735
+ - split: 2024_01_05T22_05_07.784133
736
+ path:
737
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T22-05-07.784133.parquet'
738
+ - split: latest
739
+ path:
740
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T22-05-07.784133.parquet'
741
+ - config_name: harness_hendrycksTest_public_relations_5
742
+ data_files:
743
+ - split: 2024_01_05T22_05_07.784133
744
+ path:
745
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T22-05-07.784133.parquet'
746
+ - split: latest
747
+ path:
748
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T22-05-07.784133.parquet'
749
+ - config_name: harness_hendrycksTest_security_studies_5
750
+ data_files:
751
+ - split: 2024_01_05T22_05_07.784133
752
+ path:
753
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T22-05-07.784133.parquet'
754
+ - split: latest
755
+ path:
756
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T22-05-07.784133.parquet'
757
+ - config_name: harness_hendrycksTest_sociology_5
758
+ data_files:
759
+ - split: 2024_01_05T22_05_07.784133
760
+ path:
761
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T22-05-07.784133.parquet'
762
+ - split: latest
763
+ path:
764
+ - '**/details_harness|hendrycksTest-sociology|5_2024-01-05T22-05-07.784133.parquet'
765
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
766
+ data_files:
767
+ - split: 2024_01_05T22_05_07.784133
768
+ path:
769
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T22-05-07.784133.parquet'
770
+ - split: latest
771
+ path:
772
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T22-05-07.784133.parquet'
773
+ - config_name: harness_hendrycksTest_virology_5
774
+ data_files:
775
+ - split: 2024_01_05T22_05_07.784133
776
+ path:
777
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-05T22-05-07.784133.parquet'
778
+ - split: latest
779
+ path:
780
+ - '**/details_harness|hendrycksTest-virology|5_2024-01-05T22-05-07.784133.parquet'
781
+ - config_name: harness_hendrycksTest_world_religions_5
782
+ data_files:
783
+ - split: 2024_01_05T22_05_07.784133
784
+ path:
785
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T22-05-07.784133.parquet'
786
+ - split: latest
787
+ path:
788
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T22-05-07.784133.parquet'
789
+ - config_name: harness_truthfulqa_mc_0
790
+ data_files:
791
+ - split: 2024_01_05T22_05_07.784133
792
+ path:
793
+ - '**/details_harness|truthfulqa:mc|0_2024-01-05T22-05-07.784133.parquet'
794
+ - split: latest
795
+ path:
796
+ - '**/details_harness|truthfulqa:mc|0_2024-01-05T22-05-07.784133.parquet'
797
+ - config_name: harness_winogrande_5
798
+ data_files:
799
+ - split: 2024_01_05T22_05_07.784133
800
+ path:
801
+ - '**/details_harness|winogrande|5_2024-01-05T22-05-07.784133.parquet'
802
+ - split: latest
803
+ path:
804
+ - '**/details_harness|winogrande|5_2024-01-05T22-05-07.784133.parquet'
805
+ - config_name: results
806
+ data_files:
807
+ - split: 2024_01_05T22_05_07.784133
808
+ path:
809
+ - results_2024-01-05T22-05-07.784133.parquet
810
+ - split: latest
811
+ path:
812
+ - results_2024-01-05T22-05-07.784133.parquet
813
+ ---
814
+
815
+ # Dataset Card for Evaluation run of Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp
816
+
817
+ <!-- Provide a quick summary of the dataset. -->
818
+
819
+ Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp](https://huggingface.co/Weyaxi/MetaMath-Chupacabra-7B-v2.01-Slerp) 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_Weyaxi__MetaMath-Chupacabra-7B-v2.01-Slerp",
831
+ "harness_winogrande_5",
832
+ split="train")
833
+ ```
834
+
835
+ ## Latest results
836
+
837
+ These are the [latest results from run 2024-01-05T22:05:07.784133](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-Chupacabra-7B-v2.01-Slerp/blob/main/results_2024-01-05T22-05-07.784133.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": 0.6421917229806724,
843
+ "acc_stderr": 0.03217202229009188,
844
+ "acc_norm": 0.642221582577422,
845
+ "acc_norm_stderr": 0.03283371099721053,
846
+ "mc1": 0.3953488372093023,
847
+ "mc1_stderr": 0.017115815632418197,
848
+ "mc2": 0.5616453632542725,
849
+ "mc2_stderr": 0.015418290156836063
850
+ },
851
+ "harness|arc:challenge|25": {
852
+ "acc": 0.6279863481228669,
853
+ "acc_stderr": 0.014124597881844461,
854
+ "acc_norm": 0.659556313993174,
855
+ "acc_norm_stderr": 0.01384746051889298
856
+ },
857
+ "harness|hellaswag|10": {
858
+ "acc": 0.6671977693686517,
859
+ "acc_stderr": 0.004702533775930292,
860
+ "acc_norm": 0.8546106353316073,
861
+ "acc_norm_stderr": 0.0035177257870177437
862
+ },
863
+ "harness|hendrycksTest-abstract_algebra|5": {
864
+ "acc": 0.25,
865
+ "acc_stderr": 0.04351941398892446,
866
+ "acc_norm": 0.25,
867
+ "acc_norm_stderr": 0.04351941398892446
868
+ },
869
+ "harness|hendrycksTest-anatomy|5": {
870
+ "acc": 0.6222222222222222,
871
+ "acc_stderr": 0.04188307537595852,
872
+ "acc_norm": 0.6222222222222222,
873
+ "acc_norm_stderr": 0.04188307537595852
874
+ },
875
+ "harness|hendrycksTest-astronomy|5": {
876
+ "acc": 0.6973684210526315,
877
+ "acc_stderr": 0.03738520676119669,
878
+ "acc_norm": 0.6973684210526315,
879
+ "acc_norm_stderr": 0.03738520676119669
880
+ },
881
+ "harness|hendrycksTest-business_ethics|5": {
882
+ "acc": 0.6,
883
+ "acc_stderr": 0.04923659639173309,
884
+ "acc_norm": 0.6,
885
+ "acc_norm_stderr": 0.04923659639173309
886
+ },
887
+ "harness|hendrycksTest-clinical_knowledge|5": {
888
+ "acc": 0.6943396226415094,
889
+ "acc_stderr": 0.028353298073322663,
890
+ "acc_norm": 0.6943396226415094,
891
+ "acc_norm_stderr": 0.028353298073322663
892
+ },
893
+ "harness|hendrycksTest-college_biology|5": {
894
+ "acc": 0.7291666666666666,
895
+ "acc_stderr": 0.03716177437566017,
896
+ "acc_norm": 0.7291666666666666,
897
+ "acc_norm_stderr": 0.03716177437566017
898
+ },
899
+ "harness|hendrycksTest-college_chemistry|5": {
900
+ "acc": 0.46,
901
+ "acc_stderr": 0.05009082659620333,
902
+ "acc_norm": 0.46,
903
+ "acc_norm_stderr": 0.05009082659620333
904
+ },
905
+ "harness|hendrycksTest-college_computer_science|5": {
906
+ "acc": 0.52,
907
+ "acc_stderr": 0.050211673156867795,
908
+ "acc_norm": 0.52,
909
+ "acc_norm_stderr": 0.050211673156867795
910
+ },
911
+ "harness|hendrycksTest-college_mathematics|5": {
912
+ "acc": 0.34,
913
+ "acc_stderr": 0.04760952285695235,
914
+ "acc_norm": 0.34,
915
+ "acc_norm_stderr": 0.04760952285695235
916
+ },
917
+ "harness|hendrycksTest-college_medicine|5": {
918
+ "acc": 0.653179190751445,
919
+ "acc_stderr": 0.036291466701596636,
920
+ "acc_norm": 0.653179190751445,
921
+ "acc_norm_stderr": 0.036291466701596636
922
+ },
923
+ "harness|hendrycksTest-college_physics|5": {
924
+ "acc": 0.4117647058823529,
925
+ "acc_stderr": 0.04897104952726366,
926
+ "acc_norm": 0.4117647058823529,
927
+ "acc_norm_stderr": 0.04897104952726366
928
+ },
929
+ "harness|hendrycksTest-computer_security|5": {
930
+ "acc": 0.79,
931
+ "acc_stderr": 0.04093601807403326,
932
+ "acc_norm": 0.79,
933
+ "acc_norm_stderr": 0.04093601807403326
934
+ },
935
+ "harness|hendrycksTest-conceptual_physics|5": {
936
+ "acc": 0.574468085106383,
937
+ "acc_stderr": 0.03232146916224468,
938
+ "acc_norm": 0.574468085106383,
939
+ "acc_norm_stderr": 0.03232146916224468
940
+ },
941
+ "harness|hendrycksTest-econometrics|5": {
942
+ "acc": 0.49122807017543857,
943
+ "acc_stderr": 0.04702880432049615,
944
+ "acc_norm": 0.49122807017543857,
945
+ "acc_norm_stderr": 0.04702880432049615
946
+ },
947
+ "harness|hendrycksTest-electrical_engineering|5": {
948
+ "acc": 0.5448275862068965,
949
+ "acc_stderr": 0.04149886942192118,
950
+ "acc_norm": 0.5448275862068965,
951
+ "acc_norm_stderr": 0.04149886942192118
952
+ },
953
+ "harness|hendrycksTest-elementary_mathematics|5": {
954
+ "acc": 0.4126984126984127,
955
+ "acc_stderr": 0.02535574126305526,
956
+ "acc_norm": 0.4126984126984127,
957
+ "acc_norm_stderr": 0.02535574126305526
958
+ },
959
+ "harness|hendrycksTest-formal_logic|5": {
960
+ "acc": 0.3968253968253968,
961
+ "acc_stderr": 0.043758884927270605,
962
+ "acc_norm": 0.3968253968253968,
963
+ "acc_norm_stderr": 0.043758884927270605
964
+ },
965
+ "harness|hendrycksTest-global_facts|5": {
966
+ "acc": 0.34,
967
+ "acc_stderr": 0.047609522856952344,
968
+ "acc_norm": 0.34,
969
+ "acc_norm_stderr": 0.047609522856952344
970
+ },
971
+ "harness|hendrycksTest-high_school_biology|5": {
972
+ "acc": 0.7709677419354839,
973
+ "acc_stderr": 0.023904914311782648,
974
+ "acc_norm": 0.7709677419354839,
975
+ "acc_norm_stderr": 0.023904914311782648
976
+ },
977
+ "harness|hendrycksTest-high_school_chemistry|5": {
978
+ "acc": 0.47783251231527096,
979
+ "acc_stderr": 0.03514528562175008,
980
+ "acc_norm": 0.47783251231527096,
981
+ "acc_norm_stderr": 0.03514528562175008
982
+ },
983
+ "harness|hendrycksTest-high_school_computer_science|5": {
984
+ "acc": 0.68,
985
+ "acc_stderr": 0.04688261722621504,
986
+ "acc_norm": 0.68,
987
+ "acc_norm_stderr": 0.04688261722621504
988
+ },
989
+ "harness|hendrycksTest-high_school_european_history|5": {
990
+ "acc": 0.7757575757575758,
991
+ "acc_stderr": 0.03256866661681102,
992
+ "acc_norm": 0.7757575757575758,
993
+ "acc_norm_stderr": 0.03256866661681102
994
+ },
995
+ "harness|hendrycksTest-high_school_geography|5": {
996
+ "acc": 0.7878787878787878,
997
+ "acc_stderr": 0.029126522834586818,
998
+ "acc_norm": 0.7878787878787878,
999
+ "acc_norm_stderr": 0.029126522834586818
1000
+ },
1001
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1002
+ "acc": 0.8808290155440415,
1003
+ "acc_stderr": 0.02338193534812143,
1004
+ "acc_norm": 0.8808290155440415,
1005
+ "acc_norm_stderr": 0.02338193534812143
1006
+ },
1007
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1008
+ "acc": 0.6538461538461539,
1009
+ "acc_stderr": 0.02412112541694119,
1010
+ "acc_norm": 0.6538461538461539,
1011
+ "acc_norm_stderr": 0.02412112541694119
1012
+ },
1013
+ "harness|hendrycksTest-high_school_mathematics|5": {
1014
+ "acc": 0.337037037037037,
1015
+ "acc_stderr": 0.02882088466625326,
1016
+ "acc_norm": 0.337037037037037,
1017
+ "acc_norm_stderr": 0.02882088466625326
1018
+ },
1019
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1020
+ "acc": 0.6848739495798319,
1021
+ "acc_stderr": 0.030176808288974337,
1022
+ "acc_norm": 0.6848739495798319,
1023
+ "acc_norm_stderr": 0.030176808288974337
1024
+ },
1025
+ "harness|hendrycksTest-high_school_physics|5": {
1026
+ "acc": 0.32450331125827814,
1027
+ "acc_stderr": 0.038227469376587525,
1028
+ "acc_norm": 0.32450331125827814,
1029
+ "acc_norm_stderr": 0.038227469376587525
1030
+ },
1031
+ "harness|hendrycksTest-high_school_psychology|5": {
1032
+ "acc": 0.8458715596330275,
1033
+ "acc_stderr": 0.015480826865374303,
1034
+ "acc_norm": 0.8458715596330275,
1035
+ "acc_norm_stderr": 0.015480826865374303
1036
+ },
1037
+ "harness|hendrycksTest-high_school_statistics|5": {
1038
+ "acc": 0.5416666666666666,
1039
+ "acc_stderr": 0.03398110890294636,
1040
+ "acc_norm": 0.5416666666666666,
1041
+ "acc_norm_stderr": 0.03398110890294636
1042
+ },
1043
+ "harness|hendrycksTest-high_school_us_history|5": {
1044
+ "acc": 0.8088235294117647,
1045
+ "acc_stderr": 0.027599174300640766,
1046
+ "acc_norm": 0.8088235294117647,
1047
+ "acc_norm_stderr": 0.027599174300640766
1048
+ },
1049
+ "harness|hendrycksTest-high_school_world_history|5": {
1050
+ "acc": 0.7974683544303798,
1051
+ "acc_stderr": 0.026160568246601446,
1052
+ "acc_norm": 0.7974683544303798,
1053
+ "acc_norm_stderr": 0.026160568246601446
1054
+ },
1055
+ "harness|hendrycksTest-human_aging|5": {
1056
+ "acc": 0.6816143497757847,
1057
+ "acc_stderr": 0.03126580522513713,
1058
+ "acc_norm": 0.6816143497757847,
1059
+ "acc_norm_stderr": 0.03126580522513713
1060
+ },
1061
+ "harness|hendrycksTest-human_sexuality|5": {
1062
+ "acc": 0.7557251908396947,
1063
+ "acc_stderr": 0.037683359597287434,
1064
+ "acc_norm": 0.7557251908396947,
1065
+ "acc_norm_stderr": 0.037683359597287434
1066
+ },
1067
+ "harness|hendrycksTest-international_law|5": {
1068
+ "acc": 0.7768595041322314,
1069
+ "acc_stderr": 0.03800754475228733,
1070
+ "acc_norm": 0.7768595041322314,
1071
+ "acc_norm_stderr": 0.03800754475228733
1072
+ },
1073
+ "harness|hendrycksTest-jurisprudence|5": {
1074
+ "acc": 0.8333333333333334,
1075
+ "acc_stderr": 0.036028141763926456,
1076
+ "acc_norm": 0.8333333333333334,
1077
+ "acc_norm_stderr": 0.036028141763926456
1078
+ },
1079
+ "harness|hendrycksTest-logical_fallacies|5": {
1080
+ "acc": 0.7607361963190185,
1081
+ "acc_stderr": 0.0335195387952127,
1082
+ "acc_norm": 0.7607361963190185,
1083
+ "acc_norm_stderr": 0.0335195387952127
1084
+ },
1085
+ "harness|hendrycksTest-machine_learning|5": {
1086
+ "acc": 0.48214285714285715,
1087
+ "acc_stderr": 0.047427623612430116,
1088
+ "acc_norm": 0.48214285714285715,
1089
+ "acc_norm_stderr": 0.047427623612430116
1090
+ },
1091
+ "harness|hendrycksTest-management|5": {
1092
+ "acc": 0.7669902912621359,
1093
+ "acc_stderr": 0.04185832598928315,
1094
+ "acc_norm": 0.7669902912621359,
1095
+ "acc_norm_stderr": 0.04185832598928315
1096
+ },
1097
+ "harness|hendrycksTest-marketing|5": {
1098
+ "acc": 0.8760683760683761,
1099
+ "acc_stderr": 0.02158649400128138,
1100
+ "acc_norm": 0.8760683760683761,
1101
+ "acc_norm_stderr": 0.02158649400128138
1102
+ },
1103
+ "harness|hendrycksTest-medical_genetics|5": {
1104
+ "acc": 0.71,
1105
+ "acc_stderr": 0.045604802157206845,
1106
+ "acc_norm": 0.71,
1107
+ "acc_norm_stderr": 0.045604802157206845
1108
+ },
1109
+ "harness|hendrycksTest-miscellaneous|5": {
1110
+ "acc": 0.8212005108556832,
1111
+ "acc_stderr": 0.013702643715368982,
1112
+ "acc_norm": 0.8212005108556832,
1113
+ "acc_norm_stderr": 0.013702643715368982
1114
+ },
1115
+ "harness|hendrycksTest-moral_disputes|5": {
1116
+ "acc": 0.7283236994219653,
1117
+ "acc_stderr": 0.023948512905468365,
1118
+ "acc_norm": 0.7283236994219653,
1119
+ "acc_norm_stderr": 0.023948512905468365
1120
+ },
1121
+ "harness|hendrycksTest-moral_scenarios|5": {
1122
+ "acc": 0.41564245810055866,
1123
+ "acc_stderr": 0.01648278218750067,
1124
+ "acc_norm": 0.41564245810055866,
1125
+ "acc_norm_stderr": 0.01648278218750067
1126
+ },
1127
+ "harness|hendrycksTest-nutrition|5": {
1128
+ "acc": 0.7189542483660131,
1129
+ "acc_stderr": 0.025738854797818737,
1130
+ "acc_norm": 0.7189542483660131,
1131
+ "acc_norm_stderr": 0.025738854797818737
1132
+ },
1133
+ "harness|hendrycksTest-philosophy|5": {
1134
+ "acc": 0.7106109324758842,
1135
+ "acc_stderr": 0.02575586592263295,
1136
+ "acc_norm": 0.7106109324758842,
1137
+ "acc_norm_stderr": 0.02575586592263295
1138
+ },
1139
+ "harness|hendrycksTest-prehistory|5": {
1140
+ "acc": 0.7253086419753086,
1141
+ "acc_stderr": 0.024836057868294677,
1142
+ "acc_norm": 0.7253086419753086,
1143
+ "acc_norm_stderr": 0.024836057868294677
1144
+ },
1145
+ "harness|hendrycksTest-professional_accounting|5": {
1146
+ "acc": 0.4858156028368794,
1147
+ "acc_stderr": 0.02981549448368206,
1148
+ "acc_norm": 0.4858156028368794,
1149
+ "acc_norm_stderr": 0.02981549448368206
1150
+ },
1151
+ "harness|hendrycksTest-professional_law|5": {
1152
+ "acc": 0.45241199478487615,
1153
+ "acc_stderr": 0.012712265105889133,
1154
+ "acc_norm": 0.45241199478487615,
1155
+ "acc_norm_stderr": 0.012712265105889133
1156
+ },
1157
+ "harness|hendrycksTest-professional_medicine|5": {
1158
+ "acc": 0.6580882352941176,
1159
+ "acc_stderr": 0.028814722422254184,
1160
+ "acc_norm": 0.6580882352941176,
1161
+ "acc_norm_stderr": 0.028814722422254184
1162
+ },
1163
+ "harness|hendrycksTest-professional_psychology|5": {
1164
+ "acc": 0.6666666666666666,
1165
+ "acc_stderr": 0.0190709855896875,
1166
+ "acc_norm": 0.6666666666666666,
1167
+ "acc_norm_stderr": 0.0190709855896875
1168
+ },
1169
+ "harness|hendrycksTest-public_relations|5": {
1170
+ "acc": 0.6636363636363637,
1171
+ "acc_stderr": 0.04525393596302506,
1172
+ "acc_norm": 0.6636363636363637,
1173
+ "acc_norm_stderr": 0.04525393596302506
1174
+ },
1175
+ "harness|hendrycksTest-security_studies|5": {
1176
+ "acc": 0.7387755102040816,
1177
+ "acc_stderr": 0.028123429335142783,
1178
+ "acc_norm": 0.7387755102040816,
1179
+ "acc_norm_stderr": 0.028123429335142783
1180
+ },
1181
+ "harness|hendrycksTest-sociology|5": {
1182
+ "acc": 0.845771144278607,
1183
+ "acc_stderr": 0.025538433368578327,
1184
+ "acc_norm": 0.845771144278607,
1185
+ "acc_norm_stderr": 0.025538433368578327
1186
+ },
1187
+ "harness|hendrycksTest-us_foreign_policy|5": {
1188
+ "acc": 0.87,
1189
+ "acc_stderr": 0.033799766898963086,
1190
+ "acc_norm": 0.87,
1191
+ "acc_norm_stderr": 0.033799766898963086
1192
+ },
1193
+ "harness|hendrycksTest-virology|5": {
1194
+ "acc": 0.5180722891566265,
1195
+ "acc_stderr": 0.03889951252827216,
1196
+ "acc_norm": 0.5180722891566265,
1197
+ "acc_norm_stderr": 0.03889951252827216
1198
+ },
1199
+ "harness|hendrycksTest-world_religions|5": {
1200
+ "acc": 0.8187134502923976,
1201
+ "acc_stderr": 0.029547741687640044,
1202
+ "acc_norm": 0.8187134502923976,
1203
+ "acc_norm_stderr": 0.029547741687640044
1204
+ },
1205
+ "harness|truthfulqa:mc|0": {
1206
+ "mc1": 0.3953488372093023,
1207
+ "mc1_stderr": 0.017115815632418197,
1208
+ "mc2": 0.5616453632542725,
1209
+ "mc2_stderr": 0.015418290156836063
1210
+ },
1211
+ "harness|winogrande|5": {
1212
+ "acc": 0.8003157063930545,
1213
+ "acc_stderr": 0.011235328382625842
1214
+ },
1215
+ "harness|gsm8k|5": {
1216
+ "acc": 0.7012888551933283,
1217
+ "acc_stderr": 0.012607137125693627
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]