Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_Weyaxi__SauerkrautLM-UNA-SOLAR-Instruct

Dataset card Files Community
open-llm-bot commited on
Commit
f66ced7
•
1 Parent(s): d522f61

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1351 -0
README.md ADDED
@@ -0,0 +1,1351 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct](https://huggingface.co/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct)\
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__SauerkrautLM-UNA-SOLAR-Instruct\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-23T16:55:01.684484](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__SauerkrautLM-UNA-SOLAR-Instruct/blob/main/results_2023-12-23T16-55-01.684484.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\": 0.6653838410064873,\n\
20
+ \ \"acc_stderr\": 0.031640270521971985,\n \"acc_norm\": 0.6660954003934071,\n\
21
+ \ \"acc_norm_stderr\": 0.03228645429155969,\n \"mc1\": 0.5716034271725826,\n\
22
+ \ \"mc1_stderr\": 0.017323088597314743,\n \"mc2\": 0.7180055234145617,\n\
23
+ \ \"mc2_stderr\": 0.015031705179783715\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.6843003412969283,\n \"acc_stderr\": 0.013582571095815291,\n\
25
+ \ \"acc_norm\": 0.7090443686006825,\n \"acc_norm_stderr\": 0.013273077865907595\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7124078868751245,\n\
27
+ \ \"acc_stderr\": 0.004517148434180491,\n \"acc_norm\": 0.8829914359689305,\n\
28
+ \ \"acc_norm_stderr\": 0.0032077357692780416\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.0498887651569859,\n \
30
+ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.0498887651569859\n },\n\
31
+ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\
32
+ \ \"acc_stderr\": 0.04218506215368879,\n \"acc_norm\": 0.6074074074074074,\n\
33
+ \ \"acc_norm_stderr\": 0.04218506215368879\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.7302631578947368,\n \"acc_stderr\": 0.03611780560284898,\n\
35
+ \ \"acc_norm\": 0.7302631578947368,\n \"acc_norm_stderr\": 0.03611780560284898\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.73,\n\
37
+ \ \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\": 0.73,\n \
38
+ \ \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.6716981132075471,\n \"acc_stderr\": 0.02890159361241178,\n\
40
+ \ \"acc_norm\": 0.6716981132075471,\n \"acc_norm_stderr\": 0.02890159361241178\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7708333333333334,\n\
42
+ \ \"acc_stderr\": 0.03514697467862388,\n \"acc_norm\": 0.7708333333333334,\n\
43
+ \ \"acc_norm_stderr\": 0.03514697467862388\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
45
+ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
47
+ acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\
48
+ : 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\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\": 0.6647398843930635,\n\
52
+ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\
53
+ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107223,\n\
55
+ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107223\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\
58
+ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.625531914893617,\n \"acc_stderr\": 0.03163910665367291,\n\
60
+ \ \"acc_norm\": 0.625531914893617,\n \"acc_norm_stderr\": 0.03163910665367291\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\
62
+ \ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\
63
+ \ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.6482758620689655,\n \"acc_stderr\": 0.0397923663749741,\n\
65
+ \ \"acc_norm\": 0.6482758620689655,\n \"acc_norm_stderr\": 0.0397923663749741\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.49206349206349204,\n \"acc_stderr\": 0.02574806587167328,\n \"\
68
+ acc_norm\": 0.49206349206349204,\n \"acc_norm_stderr\": 0.02574806587167328\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\
70
+ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\
71
+ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \
73
+ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8129032258064516,\n\
75
+ \ \"acc_stderr\": 0.022185710092252252,\n \"acc_norm\": 0.8129032258064516,\n\
76
+ \ \"acc_norm_stderr\": 0.022185710092252252\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
77
+ : {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\
78
+ \ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\n\
79
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
80
+ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\"\
81
+ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
82
+ : {\n \"acc\": 0.806060606060606,\n \"acc_stderr\": 0.03087414513656209,\n\
83
+ \ \"acc_norm\": 0.806060606060606,\n \"acc_norm_stderr\": 0.03087414513656209\n\
84
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
85
+ : 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\
86
+ acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\
87
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
88
+ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.021995311963644244,\n\
89
+ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.021995311963644244\n\
90
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
91
+ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402534,\n\
92
+ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402534\n\
93
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
94
+ acc\": 0.37037037037037035,\n \"acc_stderr\": 0.02944316932303154,\n \
95
+ \ \"acc_norm\": 0.37037037037037035,\n \"acc_norm_stderr\": 0.02944316932303154\n\
96
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
97
+ \ \"acc\": 0.7184873949579832,\n \"acc_stderr\": 0.02921354941437217,\n \
98
+ \ \"acc_norm\": 0.7184873949579832,\n \"acc_norm_stderr\": 0.02921354941437217\n\
99
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
100
+ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\
101
+ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\
102
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
103
+ : 0.8440366972477065,\n \"acc_stderr\": 0.015555802713590177,\n \"\
104
+ acc_norm\": 0.8440366972477065,\n \"acc_norm_stderr\": 0.015555802713590177\n\
105
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
106
+ : 0.5740740740740741,\n \"acc_stderr\": 0.033723432716530624,\n \"\
107
+ acc_norm\": 0.5740740740740741,\n \"acc_norm_stderr\": 0.033723432716530624\n\
108
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
109
+ : 0.8578431372549019,\n \"acc_stderr\": 0.02450980392156862,\n \"\
110
+ acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.02450980392156862\n\
111
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
112
+ acc\": 0.8481012658227848,\n \"acc_stderr\": 0.023363878096632446,\n \
113
+ \ \"acc_norm\": 0.8481012658227848,\n \"acc_norm_stderr\": 0.023363878096632446\n\
114
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\
115
+ \ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\
116
+ \ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
117
+ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306086,\n\
118
+ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306086\n\
119
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
120
+ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\
121
+ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\
122
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\
123
+ \ \"acc_stderr\": 0.038260763248848646,\n \"acc_norm\": 0.8055555555555556,\n\
124
+ \ \"acc_norm_stderr\": 0.038260763248848646\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
125
+ : {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\
126
+ \ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\
127
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.45535714285714285,\n\
128
+ \ \"acc_stderr\": 0.04726835553719099,\n \"acc_norm\": 0.45535714285714285,\n\
129
+ \ \"acc_norm_stderr\": 0.04726835553719099\n },\n \"harness|hendrycksTest-management|5\"\
130
+ : {\n \"acc\": 0.8543689320388349,\n \"acc_stderr\": 0.03492606476623791,\n\
131
+ \ \"acc_norm\": 0.8543689320388349,\n \"acc_norm_stderr\": 0.03492606476623791\n\
132
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\
133
+ \ \"acc_stderr\": 0.022509033937077802,\n \"acc_norm\": 0.8632478632478633,\n\
134
+ \ \"acc_norm_stderr\": 0.022509033937077802\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
135
+ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
136
+ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
137
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8045977011494253,\n\
138
+ \ \"acc_stderr\": 0.014179171373424383,\n \"acc_norm\": 0.8045977011494253,\n\
139
+ \ \"acc_norm_stderr\": 0.014179171373424383\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
140
+ : {\n \"acc\": 0.7485549132947977,\n \"acc_stderr\": 0.023357365785874037,\n\
141
+ \ \"acc_norm\": 0.7485549132947977,\n \"acc_norm_stderr\": 0.023357365785874037\n\
142
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.39106145251396646,\n\
143
+ \ \"acc_stderr\": 0.016320763763808383,\n \"acc_norm\": 0.39106145251396646,\n\
144
+ \ \"acc_norm_stderr\": 0.016320763763808383\n },\n \"harness|hendrycksTest-nutrition|5\"\
145
+ : {\n \"acc\": 0.7581699346405228,\n \"acc_stderr\": 0.024518195641879334,\n\
146
+ \ \"acc_norm\": 0.7581699346405228,\n \"acc_norm_stderr\": 0.024518195641879334\n\
147
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7234726688102894,\n\
148
+ \ \"acc_stderr\": 0.025403832978179615,\n \"acc_norm\": 0.7234726688102894,\n\
149
+ \ \"acc_norm_stderr\": 0.025403832978179615\n },\n \"harness|hendrycksTest-prehistory|5\"\
150
+ : {\n \"acc\": 0.7808641975308642,\n \"acc_stderr\": 0.023016705640262192,\n\
151
+ \ \"acc_norm\": 0.7808641975308642,\n \"acc_norm_stderr\": 0.023016705640262192\n\
152
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
153
+ acc\": 0.5035460992907801,\n \"acc_stderr\": 0.02982674915328092,\n \
154
+ \ \"acc_norm\": 0.5035460992907801,\n \"acc_norm_stderr\": 0.02982674915328092\n\
155
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.49282920469361147,\n\
156
+ \ \"acc_stderr\": 0.012768922739553308,\n \"acc_norm\": 0.49282920469361147,\n\
157
+ \ \"acc_norm_stderr\": 0.012768922739553308\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
158
+ : {\n \"acc\": 0.7426470588235294,\n \"acc_stderr\": 0.026556519470041513,\n\
159
+ \ \"acc_norm\": 0.7426470588235294,\n \"acc_norm_stderr\": 0.026556519470041513\n\
160
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
161
+ acc\": 0.6830065359477124,\n \"acc_stderr\": 0.01882421951270621,\n \
162
+ \ \"acc_norm\": 0.6830065359477124,\n \"acc_norm_stderr\": 0.01882421951270621\n\
163
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
164
+ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\
165
+ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\
166
+ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.02812342933514278,\n\
167
+ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.02812342933514278\n\
168
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\
169
+ \ \"acc_stderr\": 0.02650859065623327,\n \"acc_norm\": 0.8308457711442786,\n\
170
+ \ \"acc_norm_stderr\": 0.02650859065623327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.91,\n \"acc_stderr\": 0.028762349126466108,\n \
172
+ \ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.028762349126466108\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5843373493975904,\n\
174
+ \ \"acc_stderr\": 0.03836722176598053,\n \"acc_norm\": 0.5843373493975904,\n\
175
+ \ \"acc_norm_stderr\": 0.03836722176598053\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.7777777777777778,\n \"acc_stderr\": 0.03188578017686398,\n\
177
+ \ \"acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.03188578017686398\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5716034271725826,\n\
179
+ \ \"mc1_stderr\": 0.017323088597314743,\n \"mc2\": 0.7180055234145617,\n\
180
+ \ \"mc2_stderr\": 0.015031705179783715\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.8374112075769534,\n \"acc_stderr\": 0.010370455551343338\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6467020470053071,\n \
183
+ \ \"acc_stderr\": 0.013166337192115683\n }\n}\n```"
184
+ repo_url: https://huggingface.co/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: clementine@hf.co
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_23T16_55_01.684484
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-23T16-55-01.684484.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-23T16-55-01.684484.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_23T16_55_01.684484
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-23T16-55-01.684484.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-23T16-55-01.684484.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_23T16_55_01.684484
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-23T16-55-01.684484.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-23T16-55-01.684484.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_23T16_55_01.684484
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T16-55-01.684484.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T16-55-01.684484.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T16-55-01.684484.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T16-55-01.684484.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T16-55-01.684484.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T16-55-01.684484.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T16-55-01.684484.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T16-55-01.684484.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T16-55-01.684484.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T16-55-01.684484.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T16-55-01.684484.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T16-55-01.684484.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T16-55-01.684484.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T16-55-01.684484.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T16-55-01.684484.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T16-55-01.684484.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T16-55-01.684484.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T16-55-01.684484.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T16-55-01.684484.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T16-55-01.684484.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T16-55-01.684484.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T16-55-01.684484.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T16-55-01.684484.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T16-55-01.684484.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T16-55-01.684484.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T16-55-01.684484.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T16-55-01.684484.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T16-55-01.684484.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T16-55-01.684484.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T16-55-01.684484.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T16-55-01.684484.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T16-55-01.684484.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T16-55-01.684484.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T16-55-01.684484.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T16-55-01.684484.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T16-55-01.684484.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T16-55-01.684484.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T16-55-01.684484.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T16-55-01.684484.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T16-55-01.684484.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T16-55-01.684484.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T16-55-01.684484.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T16-55-01.684484.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T16-55-01.684484.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T16-55-01.684484.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T16-55-01.684484.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T16-55-01.684484.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T16-55-01.684484.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T16-55-01.684484.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T16-55-01.684484.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T16-55-01.684484.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T16-55-01.684484.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T16-55-01.684484.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T16-55-01.684484.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T16-55-01.684484.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T16-55-01.684484.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T16-55-01.684484.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T16-55-01.684484.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T16-55-01.684484.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T16-55-01.684484.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T16-55-01.684484.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T16-55-01.684484.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T16-55-01.684484.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T16-55-01.684484.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T16-55-01.684484.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T16-55-01.684484.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T16-55-01.684484.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T16-55-01.684484.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T16-55-01.684484.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T16-55-01.684484.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T16-55-01.684484.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T16-55-01.684484.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T16-55-01.684484.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T16-55-01.684484.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T16-55-01.684484.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T16-55-01.684484.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T16-55-01.684484.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T16-55-01.684484.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T16-55-01.684484.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T16-55-01.684484.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T16-55-01.684484.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T16-55-01.684484.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T16-55-01.684484.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T16-55-01.684484.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T16-55-01.684484.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T16-55-01.684484.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T16-55-01.684484.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T16-55-01.684484.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T16-55-01.684484.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T16-55-01.684484.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T16-55-01.684484.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T16-55-01.684484.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T16-55-01.684484.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T16-55-01.684484.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T16-55-01.684484.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T16-55-01.684484.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T16-55-01.684484.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T16-55-01.684484.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T16-55-01.684484.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T16-55-01.684484.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T16-55-01.684484.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T16-55-01.684484.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T16-55-01.684484.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T16-55-01.684484.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T16-55-01.684484.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T16-55-01.684484.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T16-55-01.684484.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T16-55-01.684484.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T16-55-01.684484.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T16-55-01.684484.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T16-55-01.684484.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T16-55-01.684484.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T16-55-01.684484.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T16-55-01.684484.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_23T16_55_01.684484
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T16-55-01.684484.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T16-55-01.684484.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_23T16_55_01.684484
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T16-55-01.684484.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T16-55-01.684484.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_23T16_55_01.684484
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T16-55-01.684484.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T16-55-01.684484.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_23T16_55_01.684484
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T16-55-01.684484.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T16-55-01.684484.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_23T16_55_01.684484
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T16-55-01.684484.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T16-55-01.684484.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_23T16_55_01.684484
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T16-55-01.684484.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T16-55-01.684484.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_23T16_55_01.684484
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T16-55-01.684484.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T16-55-01.684484.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_23T16_55_01.684484
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T16-55-01.684484.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T16-55-01.684484.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_23T16_55_01.684484
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T16-55-01.684484.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T16-55-01.684484.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_23T16_55_01.684484
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T16-55-01.684484.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T16-55-01.684484.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_23T16_55_01.684484
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T16-55-01.684484.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T16-55-01.684484.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_23T16_55_01.684484
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T16-55-01.684484.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T16-55-01.684484.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_23T16_55_01.684484
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T16-55-01.684484.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T16-55-01.684484.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_23T16_55_01.684484
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T16-55-01.684484.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T16-55-01.684484.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_23T16_55_01.684484
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T16-55-01.684484.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T16-55-01.684484.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_23T16_55_01.684484
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T16-55-01.684484.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T16-55-01.684484.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_23T16_55_01.684484
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T16-55-01.684484.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T16-55-01.684484.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_23T16_55_01.684484
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T16-55-01.684484.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T16-55-01.684484.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_23T16_55_01.684484
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T16-55-01.684484.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T16-55-01.684484.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_23T16_55_01.684484
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T16-55-01.684484.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T16-55-01.684484.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_23T16_55_01.684484
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T16-55-01.684484.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T16-55-01.684484.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_23T16_55_01.684484
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T16-55-01.684484.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T16-55-01.684484.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_23T16_55_01.684484
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T16-55-01.684484.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T16-55-01.684484.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_23T16_55_01.684484
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T16-55-01.684484.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T16-55-01.684484.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_23T16_55_01.684484
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T16-55-01.684484.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T16-55-01.684484.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_23T16_55_01.684484
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T16-55-01.684484.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T16-55-01.684484.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_23T16_55_01.684484
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T16-55-01.684484.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T16-55-01.684484.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_23T16_55_01.684484
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T16-55-01.684484.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T16-55-01.684484.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_23T16_55_01.684484
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T16-55-01.684484.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T16-55-01.684484.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_23T16_55_01.684484
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T16-55-01.684484.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T16-55-01.684484.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_23T16_55_01.684484
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T16-55-01.684484.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T16-55-01.684484.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_23T16_55_01.684484
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T16-55-01.684484.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T16-55-01.684484.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_23T16_55_01.684484
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T16-55-01.684484.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T16-55-01.684484.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_23T16_55_01.684484
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T16-55-01.684484.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T16-55-01.684484.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_23T16_55_01.684484
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T16-55-01.684484.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T16-55-01.684484.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_23T16_55_01.684484
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T16-55-01.684484.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T16-55-01.684484.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_23T16_55_01.684484
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T16-55-01.684484.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T16-55-01.684484.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_23T16_55_01.684484
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T16-55-01.684484.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T16-55-01.684484.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_23T16_55_01.684484
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T16-55-01.684484.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T16-55-01.684484.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_23T16_55_01.684484
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T16-55-01.684484.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T16-55-01.684484.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_23T16_55_01.684484
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T16-55-01.684484.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T16-55-01.684484.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_23T16_55_01.684484
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T16-55-01.684484.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T16-55-01.684484.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_23T16_55_01.684484
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T16-55-01.684484.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T16-55-01.684484.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_23T16_55_01.684484
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T16-55-01.684484.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T16-55-01.684484.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_23T16_55_01.684484
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T16-55-01.684484.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T16-55-01.684484.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_23T16_55_01.684484
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T16-55-01.684484.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T16-55-01.684484.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_23T16_55_01.684484
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T16-55-01.684484.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T16-55-01.684484.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_23T16_55_01.684484
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T16-55-01.684484.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T16-55-01.684484.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_23T16_55_01.684484
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T16-55-01.684484.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T16-55-01.684484.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_23T16_55_01.684484
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T16-55-01.684484.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T16-55-01.684484.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_23T16_55_01.684484
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T16-55-01.684484.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T16-55-01.684484.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_23T16_55_01.684484
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T16-55-01.684484.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T16-55-01.684484.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_23T16_55_01.684484
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T16-55-01.684484.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T16-55-01.684484.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_23T16_55_01.684484
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T16-55-01.684484.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T16-55-01.684484.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_23T16_55_01.684484
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T16-55-01.684484.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T16-55-01.684484.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_23T16_55_01.684484
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T16-55-01.684484.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T16-55-01.684484.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_23T16_55_01.684484
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T16-55-01.684484.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T16-55-01.684484.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_23T16_55_01.684484
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-23T16-55-01.684484.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-23T16-55-01.684484.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_23T16_55_01.684484
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-23T16-55-01.684484.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-23T16-55-01.684484.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_23T16_55_01.684484
807
+ path:
808
+ - results_2023-12-23T16-55-01.684484.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-23T16-55-01.684484.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct](https://huggingface.co/Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
+
820
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
+
822
+ The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
823
+
824
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
825
+
826
+ To load the details from a run, you can for instance do the following:
827
+ ```python
828
+ from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_Weyaxi__SauerkrautLM-UNA-SOLAR-Instruct",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-23T16:55:01.684484](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__SauerkrautLM-UNA-SOLAR-Instruct/blob/main/results_2023-12-23T16-55-01.684484.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
837
+
838
+ ```python
839
+ {
840
+ "all": {
841
+ "acc": 0.6653838410064873,
842
+ "acc_stderr": 0.031640270521971985,
843
+ "acc_norm": 0.6660954003934071,
844
+ "acc_norm_stderr": 0.03228645429155969,
845
+ "mc1": 0.5716034271725826,
846
+ "mc1_stderr": 0.017323088597314743,
847
+ "mc2": 0.7180055234145617,
848
+ "mc2_stderr": 0.015031705179783715
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.6843003412969283,
852
+ "acc_stderr": 0.013582571095815291,
853
+ "acc_norm": 0.7090443686006825,
854
+ "acc_norm_stderr": 0.013273077865907595
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.7124078868751245,
858
+ "acc_stderr": 0.004517148434180491,
859
+ "acc_norm": 0.8829914359689305,
860
+ "acc_norm_stderr": 0.0032077357692780416
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.44,
864
+ "acc_stderr": 0.0498887651569859,
865
+ "acc_norm": 0.44,
866
+ "acc_norm_stderr": 0.0498887651569859
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.6074074074074074,
870
+ "acc_stderr": 0.04218506215368879,
871
+ "acc_norm": 0.6074074074074074,
872
+ "acc_norm_stderr": 0.04218506215368879
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.7302631578947368,
876
+ "acc_stderr": 0.03611780560284898,
877
+ "acc_norm": 0.7302631578947368,
878
+ "acc_norm_stderr": 0.03611780560284898
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.73,
882
+ "acc_stderr": 0.04461960433384741,
883
+ "acc_norm": 0.73,
884
+ "acc_norm_stderr": 0.04461960433384741
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.6716981132075471,
888
+ "acc_stderr": 0.02890159361241178,
889
+ "acc_norm": 0.6716981132075471,
890
+ "acc_norm_stderr": 0.02890159361241178
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.7708333333333334,
894
+ "acc_stderr": 0.03514697467862388,
895
+ "acc_norm": 0.7708333333333334,
896
+ "acc_norm_stderr": 0.03514697467862388
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.47,
900
+ "acc_stderr": 0.050161355804659205,
901
+ "acc_norm": 0.47,
902
+ "acc_norm_stderr": 0.050161355804659205
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.51,
906
+ "acc_stderr": 0.05024183937956912,
907
+ "acc_norm": 0.51,
908
+ "acc_norm_stderr": 0.05024183937956912
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.31,
912
+ "acc_stderr": 0.04648231987117316,
913
+ "acc_norm": 0.31,
914
+ "acc_norm_stderr": 0.04648231987117316
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.6647398843930635,
918
+ "acc_stderr": 0.03599586301247077,
919
+ "acc_norm": 0.6647398843930635,
920
+ "acc_norm_stderr": 0.03599586301247077
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.38235294117647056,
924
+ "acc_stderr": 0.04835503696107223,
925
+ "acc_norm": 0.38235294117647056,
926
+ "acc_norm_stderr": 0.04835503696107223
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.75,
930
+ "acc_stderr": 0.04351941398892446,
931
+ "acc_norm": 0.75,
932
+ "acc_norm_stderr": 0.04351941398892446
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.625531914893617,
936
+ "acc_stderr": 0.03163910665367291,
937
+ "acc_norm": 0.625531914893617,
938
+ "acc_norm_stderr": 0.03163910665367291
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.4824561403508772,
942
+ "acc_stderr": 0.04700708033551038,
943
+ "acc_norm": 0.4824561403508772,
944
+ "acc_norm_stderr": 0.04700708033551038
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.6482758620689655,
948
+ "acc_stderr": 0.0397923663749741,
949
+ "acc_norm": 0.6482758620689655,
950
+ "acc_norm_stderr": 0.0397923663749741
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.49206349206349204,
954
+ "acc_stderr": 0.02574806587167328,
955
+ "acc_norm": 0.49206349206349204,
956
+ "acc_norm_stderr": 0.02574806587167328
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.42063492063492064,
960
+ "acc_stderr": 0.04415438226743744,
961
+ "acc_norm": 0.42063492063492064,
962
+ "acc_norm_stderr": 0.04415438226743744
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.33,
966
+ "acc_stderr": 0.04725815626252604,
967
+ "acc_norm": 0.33,
968
+ "acc_norm_stderr": 0.04725815626252604
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.8129032258064516,
972
+ "acc_stderr": 0.022185710092252252,
973
+ "acc_norm": 0.8129032258064516,
974
+ "acc_norm_stderr": 0.022185710092252252
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.5073891625615764,
978
+ "acc_stderr": 0.035176035403610105,
979
+ "acc_norm": 0.5073891625615764,
980
+ "acc_norm_stderr": 0.035176035403610105
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.72,
984
+ "acc_stderr": 0.04512608598542128,
985
+ "acc_norm": 0.72,
986
+ "acc_norm_stderr": 0.04512608598542128
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.806060606060606,
990
+ "acc_stderr": 0.03087414513656209,
991
+ "acc_norm": 0.806060606060606,
992
+ "acc_norm_stderr": 0.03087414513656209
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.8636363636363636,
996
+ "acc_stderr": 0.024450155973189835,
997
+ "acc_norm": 0.8636363636363636,
998
+ "acc_norm_stderr": 0.024450155973189835
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.8963730569948186,
1002
+ "acc_stderr": 0.021995311963644244,
1003
+ "acc_norm": 0.8963730569948186,
1004
+ "acc_norm_stderr": 0.021995311963644244
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.6666666666666666,
1008
+ "acc_stderr": 0.023901157979402534,
1009
+ "acc_norm": 0.6666666666666666,
1010
+ "acc_norm_stderr": 0.023901157979402534
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.37037037037037035,
1014
+ "acc_stderr": 0.02944316932303154,
1015
+ "acc_norm": 0.37037037037037035,
1016
+ "acc_norm_stderr": 0.02944316932303154
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.7184873949579832,
1020
+ "acc_stderr": 0.02921354941437217,
1021
+ "acc_norm": 0.7184873949579832,
1022
+ "acc_norm_stderr": 0.02921354941437217
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.37748344370860926,
1026
+ "acc_stderr": 0.03958027231121569,
1027
+ "acc_norm": 0.37748344370860926,
1028
+ "acc_norm_stderr": 0.03958027231121569
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.8440366972477065,
1032
+ "acc_stderr": 0.015555802713590177,
1033
+ "acc_norm": 0.8440366972477065,
1034
+ "acc_norm_stderr": 0.015555802713590177
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.5740740740740741,
1038
+ "acc_stderr": 0.033723432716530624,
1039
+ "acc_norm": 0.5740740740740741,
1040
+ "acc_norm_stderr": 0.033723432716530624
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.8578431372549019,
1044
+ "acc_stderr": 0.02450980392156862,
1045
+ "acc_norm": 0.8578431372549019,
1046
+ "acc_norm_stderr": 0.02450980392156862
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.8481012658227848,
1050
+ "acc_stderr": 0.023363878096632446,
1051
+ "acc_norm": 0.8481012658227848,
1052
+ "acc_norm_stderr": 0.023363878096632446
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.6771300448430493,
1056
+ "acc_stderr": 0.03138147637575499,
1057
+ "acc_norm": 0.6771300448430493,
1058
+ "acc_norm_stderr": 0.03138147637575499
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.7480916030534351,
1062
+ "acc_stderr": 0.03807387116306086,
1063
+ "acc_norm": 0.7480916030534351,
1064
+ "acc_norm_stderr": 0.03807387116306086
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.7933884297520661,
1068
+ "acc_stderr": 0.03695980128098824,
1069
+ "acc_norm": 0.7933884297520661,
1070
+ "acc_norm_stderr": 0.03695980128098824
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.8055555555555556,
1074
+ "acc_stderr": 0.038260763248848646,
1075
+ "acc_norm": 0.8055555555555556,
1076
+ "acc_norm_stderr": 0.038260763248848646
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.7484662576687117,
1080
+ "acc_stderr": 0.03408997886857529,
1081
+ "acc_norm": 0.7484662576687117,
1082
+ "acc_norm_stderr": 0.03408997886857529
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.45535714285714285,
1086
+ "acc_stderr": 0.04726835553719099,
1087
+ "acc_norm": 0.45535714285714285,
1088
+ "acc_norm_stderr": 0.04726835553719099
1089
+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.8543689320388349,
1092
+ "acc_stderr": 0.03492606476623791,
1093
+ "acc_norm": 0.8543689320388349,
1094
+ "acc_norm_stderr": 0.03492606476623791
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.8632478632478633,
1098
+ "acc_stderr": 0.022509033937077802,
1099
+ "acc_norm": 0.8632478632478633,
1100
+ "acc_norm_stderr": 0.022509033937077802
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.71,
1104
+ "acc_stderr": 0.045604802157206845,
1105
+ "acc_norm": 0.71,
1106
+ "acc_norm_stderr": 0.045604802157206845
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.8045977011494253,
1110
+ "acc_stderr": 0.014179171373424383,
1111
+ "acc_norm": 0.8045977011494253,
1112
+ "acc_norm_stderr": 0.014179171373424383
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.7485549132947977,
1116
+ "acc_stderr": 0.023357365785874037,
1117
+ "acc_norm": 0.7485549132947977,
1118
+ "acc_norm_stderr": 0.023357365785874037
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.39106145251396646,
1122
+ "acc_stderr": 0.016320763763808383,
1123
+ "acc_norm": 0.39106145251396646,
1124
+ "acc_norm_stderr": 0.016320763763808383
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.7581699346405228,
1128
+ "acc_stderr": 0.024518195641879334,
1129
+ "acc_norm": 0.7581699346405228,
1130
+ "acc_norm_stderr": 0.024518195641879334
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.7234726688102894,
1134
+ "acc_stderr": 0.025403832978179615,
1135
+ "acc_norm": 0.7234726688102894,
1136
+ "acc_norm_stderr": 0.025403832978179615
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.7808641975308642,
1140
+ "acc_stderr": 0.023016705640262192,
1141
+ "acc_norm": 0.7808641975308642,
1142
+ "acc_norm_stderr": 0.023016705640262192
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.5035460992907801,
1146
+ "acc_stderr": 0.02982674915328092,
1147
+ "acc_norm": 0.5035460992907801,
1148
+ "acc_norm_stderr": 0.02982674915328092
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.49282920469361147,
1152
+ "acc_stderr": 0.012768922739553308,
1153
+ "acc_norm": 0.49282920469361147,
1154
+ "acc_norm_stderr": 0.012768922739553308
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.7426470588235294,
1158
+ "acc_stderr": 0.026556519470041513,
1159
+ "acc_norm": 0.7426470588235294,
1160
+ "acc_norm_stderr": 0.026556519470041513
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.6830065359477124,
1164
+ "acc_stderr": 0.01882421951270621,
1165
+ "acc_norm": 0.6830065359477124,
1166
+ "acc_norm_stderr": 0.01882421951270621
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.6818181818181818,
1170
+ "acc_stderr": 0.04461272175910509,
1171
+ "acc_norm": 0.6818181818181818,
1172
+ "acc_norm_stderr": 0.04461272175910509
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.7387755102040816,
1176
+ "acc_stderr": 0.02812342933514278,
1177
+ "acc_norm": 0.7387755102040816,
1178
+ "acc_norm_stderr": 0.02812342933514278
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.8308457711442786,
1182
+ "acc_stderr": 0.02650859065623327,
1183
+ "acc_norm": 0.8308457711442786,
1184
+ "acc_norm_stderr": 0.02650859065623327
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.91,
1188
+ "acc_stderr": 0.028762349126466108,
1189
+ "acc_norm": 0.91,
1190
+ "acc_norm_stderr": 0.028762349126466108
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.5843373493975904,
1194
+ "acc_stderr": 0.03836722176598053,
1195
+ "acc_norm": 0.5843373493975904,
1196
+ "acc_norm_stderr": 0.03836722176598053
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.7777777777777778,
1200
+ "acc_stderr": 0.03188578017686398,
1201
+ "acc_norm": 0.7777777777777778,
1202
+ "acc_norm_stderr": 0.03188578017686398
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.5716034271725826,
1206
+ "mc1_stderr": 0.017323088597314743,
1207
+ "mc2": 0.7180055234145617,
1208
+ "mc2_stderr": 0.015031705179783715
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.8374112075769534,
1212
+ "acc_stderr": 0.010370455551343338
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.6467020470053071,
1216
+ "acc_stderr": 0.013166337192115683
1217
+ }
1218
+ }
1219
+ ```
1220
+
1221
+ ## Dataset Details
1222
+
1223
+ ### Dataset Description
1224
+
1225
+ <!-- Provide a longer summary of what this dataset is. -->
1226
+
1227
+
1228
+
1229
+ - **Curated by:** [More Information Needed]
1230
+ - **Funded by [optional]:** [More Information Needed]
1231
+ - **Shared by [optional]:** [More Information Needed]
1232
+ - **Language(s) (NLP):** [More Information Needed]
1233
+ - **License:** [More Information Needed]
1234
+
1235
+ ### Dataset Sources [optional]
1236
+
1237
+ <!-- Provide the basic links for the dataset. -->
1238
+
1239
+ - **Repository:** [More Information Needed]
1240
+ - **Paper [optional]:** [More Information Needed]
1241
+ - **Demo [optional]:** [More Information Needed]
1242
+
1243
+ ## Uses
1244
+
1245
+ <!-- Address questions around how the dataset is intended to be used. -->
1246
+
1247
+ ### Direct Use
1248
+
1249
+ <!-- This section describes suitable use cases for the dataset. -->
1250
+
1251
+ [More Information Needed]
1252
+
1253
+ ### Out-of-Scope Use
1254
+
1255
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1256
+
1257
+ [More Information Needed]
1258
+
1259
+ ## Dataset Structure
1260
+
1261
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
1262
+
1263
+ [More Information Needed]
1264
+
1265
+ ## Dataset Creation
1266
+
1267
+ ### Curation Rationale
1268
+
1269
+ <!-- Motivation for the creation of this dataset. -->
1270
+
1271
+ [More Information Needed]
1272
+
1273
+ ### Source Data
1274
+
1275
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1276
+
1277
+ #### Data Collection and Processing
1278
+
1279
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1280
+
1281
+ [More Information Needed]
1282
+
1283
+ #### Who are the source data producers?
1284
+
1285
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
1286
+
1287
+ [More Information Needed]
1288
+
1289
+ ### Annotations [optional]
1290
+
1291
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1292
+
1293
+ #### Annotation process
1294
+
1295
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
1296
+
1297
+ [More Information Needed]
1298
+
1299
+ #### Who are the annotators?
1300
+
1301
+ <!-- This section describes the people or systems who created the annotations. -->
1302
+
1303
+ [More Information Needed]
1304
+
1305
+ #### Personal and Sensitive Information
1306
+
1307
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
1308
+
1309
+ [More Information Needed]
1310
+
1311
+ ## Bias, Risks, and Limitations
1312
+
1313
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1314
+
1315
+ [More Information Needed]
1316
+
1317
+ ### Recommendations
1318
+
1319
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1320
+
1321
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1322
+
1323
+ ## Citation [optional]
1324
+
1325
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1326
+
1327
+ **BibTeX:**
1328
+
1329
+ [More Information Needed]
1330
+
1331
+ **APA:**
1332
+
1333
+ [More Information Needed]
1334
+
1335
+ ## Glossary [optional]
1336
+
1337
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1338
+
1339
+ [More Information Needed]
1340
+
1341
+ ## More Information [optional]
1342
+
1343
+ [More Information Needed]
1344
+
1345
+ ## Dataset Card Authors [optional]
1346
+
1347
+ [More Information Needed]
1348
+
1349
+ ## Dataset Card Contact
1350
+
1351
+ [More Information Needed]