Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_h2oai__h2ogpt-oasst1-512-20b

Dataset card Files Community
thomwolf HF staff commited on
Commit
86afeb5
•
1 Parent(s): bb802e2

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +797 -0
README.md ADDED
@@ -0,0 +1,797 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of h2oai/h2ogpt-oasst1-512-20b
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [h2oai/h2ogpt-oasst1-512-20b](https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 60 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 agregated 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_h2oai__h2ogpt-oasst1-512-20b\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-07-19T21:43:07.012781\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.27000963699095726,\n \"acc_stderr\"\
18
+ : 0.03207462279029465,\n \"acc_norm\": 0.2738892269037556,\n \"acc_norm_stderr\"\
19
+ : 0.032067484735330685,\n \"mc1\": 0.24724602203182375,\n \"mc1_stderr\"\
20
+ : 0.015102404797359652,\n \"mc2\": 0.3749705897753555,\n \"mc2_stderr\"\
21
+ : 0.014205445237088549\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.4308873720136519,\n \"acc_stderr\": 0.014471133392642475,\n \
23
+ \ \"acc_norm\": 0.46928327645051193,\n \"acc_norm_stderr\": 0.014583792546304038\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5372435769766979,\n\
25
+ \ \"acc_stderr\": 0.004975919665116535,\n \"acc_norm\": 0.7277434773949413,\n\
26
+ \ \"acc_norm_stderr\": 0.004442115268580939\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847415,\n \
28
+ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847415\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.34814814814814815,\n\
30
+ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.34814814814814815,\n\
31
+ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.3223684210526316,\n \"acc_stderr\": 0.03803510248351585,\n\
33
+ \ \"acc_norm\": 0.3223684210526316,\n \"acc_norm_stderr\": 0.03803510248351585\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.37,\n\
35
+ \ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n \
36
+ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.25660377358490566,\n \"acc_stderr\": 0.026880647889051975,\n\
38
+ \ \"acc_norm\": 0.25660377358490566,\n \"acc_norm_stderr\": 0.026880647889051975\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2708333333333333,\n\
40
+ \ \"acc_stderr\": 0.03716177437566016,\n \"acc_norm\": 0.2708333333333333,\n\
41
+ \ \"acc_norm_stderr\": 0.03716177437566016\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036846,\n \
43
+ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\
44
+ \ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.26,\n\
45
+ \ \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\": 0.26,\n \
46
+ \ \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \
48
+ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816505\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2138728323699422,\n\
50
+ \ \"acc_stderr\": 0.031265112061730424,\n \"acc_norm\": 0.2138728323699422,\n\
51
+ \ \"acc_norm_stderr\": 0.031265112061730424\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237655,\n\
53
+ \ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237655\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n\
56
+ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.24680851063829787,\n \"acc_stderr\": 0.0281854413012341,\n\
58
+ \ \"acc_norm\": 0.24680851063829787,\n \"acc_norm_stderr\": 0.0281854413012341\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.22807017543859648,\n\
60
+ \ \"acc_stderr\": 0.03947152782669415,\n \"acc_norm\": 0.22807017543859648,\n\
61
+ \ \"acc_norm_stderr\": 0.03947152782669415\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.2689655172413793,\n \"acc_stderr\": 0.036951833116502325,\n\
63
+ \ \"acc_norm\": 0.2689655172413793,\n \"acc_norm_stderr\": 0.036951833116502325\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.2804232804232804,\n \"acc_stderr\": 0.023135287974325645,\n \"\
66
+ acc_norm\": 0.2804232804232804,\n \"acc_norm_stderr\": 0.023135287974325645\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\
68
+ \ \"acc_stderr\": 0.040735243221471276,\n \"acc_norm\": 0.29365079365079366,\n\
69
+ \ \"acc_norm_stderr\": 0.040735243221471276\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421255,\n \
71
+ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421255\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
73
+ : 0.20967741935483872,\n \"acc_stderr\": 0.023157879349083536,\n \"\
74
+ acc_norm\": 0.20967741935483872,\n \"acc_norm_stderr\": 0.023157879349083536\n\
75
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
76
+ : 0.18226600985221675,\n \"acc_stderr\": 0.02716334085964515,\n \"\
77
+ acc_norm\": 0.18226600985221675,\n \"acc_norm_stderr\": 0.02716334085964515\n\
78
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
79
+ \ \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \"acc_norm\"\
80
+ : 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
81
+ : {\n \"acc\": 0.24848484848484848,\n \"acc_stderr\": 0.03374402644139404,\n\
82
+ \ \"acc_norm\": 0.24848484848484848,\n \"acc_norm_stderr\": 0.03374402644139404\n\
83
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
84
+ : 0.23232323232323232,\n \"acc_stderr\": 0.03008862949021749,\n \"\
85
+ acc_norm\": 0.23232323232323232,\n \"acc_norm_stderr\": 0.03008862949021749\n\
86
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
87
+ \ \"acc\": 0.26424870466321243,\n \"acc_stderr\": 0.03182155050916647,\n\
88
+ \ \"acc_norm\": 0.26424870466321243,\n \"acc_norm_stderr\": 0.03182155050916647\n\
89
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
90
+ \ \"acc\": 0.20512820512820512,\n \"acc_stderr\": 0.02047323317355198,\n\
91
+ \ \"acc_norm\": 0.20512820512820512,\n \"acc_norm_stderr\": 0.02047323317355198\n\
92
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
93
+ acc\": 0.27037037037037037,\n \"acc_stderr\": 0.02708037281514565,\n \
94
+ \ \"acc_norm\": 0.27037037037037037,\n \"acc_norm_stderr\": 0.02708037281514565\n\
95
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
96
+ \ \"acc\": 0.21428571428571427,\n \"acc_stderr\": 0.02665353159671549,\n\
97
+ \ \"acc_norm\": 0.21428571428571427,\n \"acc_norm_stderr\": 0.02665353159671549\n\
98
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
99
+ : 0.2251655629139073,\n \"acc_stderr\": 0.03410435282008937,\n \"\
100
+ acc_norm\": 0.2251655629139073,\n \"acc_norm_stderr\": 0.03410435282008937\n\
101
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
102
+ : 0.21651376146788992,\n \"acc_stderr\": 0.01765871059444313,\n \"\
103
+ acc_norm\": 0.21651376146788992,\n \"acc_norm_stderr\": 0.01765871059444313\n\
104
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
105
+ : 0.1574074074074074,\n \"acc_stderr\": 0.024837173518242384,\n \"\
106
+ acc_norm\": 0.1574074074074074,\n \"acc_norm_stderr\": 0.024837173518242384\n\
107
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
108
+ : 0.27941176470588236,\n \"acc_stderr\": 0.031493281045079556,\n \"\
109
+ acc_norm\": 0.27941176470588236,\n \"acc_norm_stderr\": 0.031493281045079556\n\
110
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
111
+ acc\": 0.27848101265822783,\n \"acc_stderr\": 0.029178682304842544,\n \
112
+ \ \"acc_norm\": 0.27848101265822783,\n \"acc_norm_stderr\": 0.029178682304842544\n\
113
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.31390134529147984,\n\
114
+ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.31390134529147984,\n\
115
+ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
116
+ : {\n \"acc\": 0.2366412213740458,\n \"acc_stderr\": 0.037276735755969174,\n\
117
+ \ \"acc_norm\": 0.2366412213740458,\n \"acc_norm_stderr\": 0.037276735755969174\n\
118
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
119
+ \ 0.2975206611570248,\n \"acc_stderr\": 0.04173349148083497,\n \"\
120
+ acc_norm\": 0.2975206611570248,\n \"acc_norm_stderr\": 0.04173349148083497\n\
121
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.32407407407407407,\n\
122
+ \ \"acc_stderr\": 0.04524596007030048,\n \"acc_norm\": 0.32407407407407407,\n\
123
+ \ \"acc_norm_stderr\": 0.04524596007030048\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
124
+ : {\n \"acc\": 0.3067484662576687,\n \"acc_stderr\": 0.03623089915724148,\n\
125
+ \ \"acc_norm\": 0.3067484662576687,\n \"acc_norm_stderr\": 0.03623089915724148\n\
126
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.20535714285714285,\n\
127
+ \ \"acc_stderr\": 0.03834241021419073,\n \"acc_norm\": 0.20535714285714285,\n\
128
+ \ \"acc_norm_stderr\": 0.03834241021419073\n },\n \"harness|hendrycksTest-management|5\"\
129
+ : {\n \"acc\": 0.23300970873786409,\n \"acc_stderr\": 0.041858325989283136,\n\
130
+ \ \"acc_norm\": 0.23300970873786409,\n \"acc_norm_stderr\": 0.041858325989283136\n\
131
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.2606837606837607,\n\
132
+ \ \"acc_stderr\": 0.028760348956523414,\n \"acc_norm\": 0.2606837606837607,\n\
133
+ \ \"acc_norm_stderr\": 0.028760348956523414\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
134
+ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
135
+ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
136
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2796934865900383,\n\
137
+ \ \"acc_stderr\": 0.01605079214803653,\n \"acc_norm\": 0.2796934865900383,\n\
138
+ \ \"acc_norm_stderr\": 0.01605079214803653\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
139
+ : {\n \"acc\": 0.30057803468208094,\n \"acc_stderr\": 0.024685316867257803,\n\
140
+ \ \"acc_norm\": 0.30057803468208094,\n \"acc_norm_stderr\": 0.024685316867257803\n\
141
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\
142
+ \ \"acc_stderr\": 0.014422292204808836,\n \"acc_norm\": 0.24692737430167597,\n\
143
+ \ \"acc_norm_stderr\": 0.014422292204808836\n },\n \"harness|hendrycksTest-nutrition|5\"\
144
+ : {\n \"acc\": 0.28104575163398693,\n \"acc_stderr\": 0.02573885479781873,\n\
145
+ \ \"acc_norm\": 0.28104575163398693,\n \"acc_norm_stderr\": 0.02573885479781873\n\
146
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.31189710610932475,\n\
147
+ \ \"acc_stderr\": 0.026311858071854155,\n \"acc_norm\": 0.31189710610932475,\n\
148
+ \ \"acc_norm_stderr\": 0.026311858071854155\n },\n \"harness|hendrycksTest-prehistory|5\"\
149
+ : {\n \"acc\": 0.26851851851851855,\n \"acc_stderr\": 0.02465968518596727,\n\
150
+ \ \"acc_norm\": 0.26851851851851855,\n \"acc_norm_stderr\": 0.02465968518596727\n\
151
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
152
+ acc\": 0.25886524822695034,\n \"acc_stderr\": 0.026129572527180848,\n \
153
+ \ \"acc_norm\": 0.25886524822695034,\n \"acc_norm_stderr\": 0.026129572527180848\n\
154
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2438070404172099,\n\
155
+ \ \"acc_stderr\": 0.010966507972178475,\n \"acc_norm\": 0.2438070404172099,\n\
156
+ \ \"acc_norm_stderr\": 0.010966507972178475\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
157
+ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.024398192986654924,\n\
158
+ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.024398192986654924\n\
159
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
160
+ acc\": 0.26633986928104575,\n \"acc_stderr\": 0.01788318813466719,\n \
161
+ \ \"acc_norm\": 0.26633986928104575,\n \"acc_norm_stderr\": 0.01788318813466719\n\
162
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.22727272727272727,\n\
163
+ \ \"acc_stderr\": 0.040139645540727735,\n \"acc_norm\": 0.22727272727272727,\n\
164
+ \ \"acc_norm_stderr\": 0.040139645540727735\n },\n \"harness|hendrycksTest-security_studies|5\"\
165
+ : {\n \"acc\": 0.22040816326530613,\n \"acc_stderr\": 0.026537045312145277,\n\
166
+ \ \"acc_norm\": 0.22040816326530613,\n \"acc_norm_stderr\": 0.026537045312145277\n\
167
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.263681592039801,\n\
168
+ \ \"acc_stderr\": 0.03115715086935555,\n \"acc_norm\": 0.263681592039801,\n\
169
+ \ \"acc_norm_stderr\": 0.03115715086935555\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
170
+ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
171
+ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
172
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.25903614457831325,\n\
173
+ \ \"acc_stderr\": 0.03410646614071856,\n \"acc_norm\": 0.25903614457831325,\n\
174
+ \ \"acc_norm_stderr\": 0.03410646614071856\n },\n \"harness|hendrycksTest-world_religions|5\"\
175
+ : {\n \"acc\": 0.34502923976608185,\n \"acc_stderr\": 0.036459813773888065,\n\
176
+ \ \"acc_norm\": 0.34502923976608185,\n \"acc_norm_stderr\": 0.036459813773888065\n\
177
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.24724602203182375,\n\
178
+ \ \"mc1_stderr\": 0.015102404797359652,\n \"mc2\": 0.3749705897753555,\n\
179
+ \ \"mc2_stderr\": 0.014205445237088549\n }\n}\n```"
180
+ repo_url: https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b
181
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
182
+ point_of_contact: clementine@hf.co
183
+ configs:
184
+ - config_name: harness_arc_challenge_25
185
+ data_files: '**/details_harness|arc:challenge|25_2023-07-19T21:43:07.012781.parquet'
186
+ - config_name: harness_hellaswag_10
187
+ data_files: '**/details_harness|hellaswag|10_2023-07-19T21:43:07.012781.parquet'
188
+ - config_name: harness_hendrycksTest_abstract_algebra_5
189
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T21:43:07.012781.parquet'
190
+ - config_name: harness_hendrycksTest_anatomy_5
191
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T21:43:07.012781.parquet'
192
+ - config_name: harness_hendrycksTest_astronomy_5
193
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T21:43:07.012781.parquet'
194
+ - config_name: harness_hendrycksTest_business_ethics_5
195
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T21:43:07.012781.parquet'
196
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
197
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T21:43:07.012781.parquet'
198
+ - config_name: harness_hendrycksTest_college_biology_5
199
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T21:43:07.012781.parquet'
200
+ - config_name: harness_hendrycksTest_college_chemistry_5
201
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T21:43:07.012781.parquet'
202
+ - config_name: harness_hendrycksTest_college_computer_science_5
203
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T21:43:07.012781.parquet'
204
+ - config_name: harness_hendrycksTest_college_mathematics_5
205
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T21:43:07.012781.parquet'
206
+ - config_name: harness_hendrycksTest_college_medicine_5
207
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T21:43:07.012781.parquet'
208
+ - config_name: harness_hendrycksTest_college_physics_5
209
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T21:43:07.012781.parquet'
210
+ - config_name: harness_hendrycksTest_computer_security_5
211
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T21:43:07.012781.parquet'
212
+ - config_name: harness_hendrycksTest_conceptual_physics_5
213
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T21:43:07.012781.parquet'
214
+ - config_name: harness_hendrycksTest_econometrics_5
215
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T21:43:07.012781.parquet'
216
+ - config_name: harness_hendrycksTest_electrical_engineering_5
217
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T21:43:07.012781.parquet'
218
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
219
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T21:43:07.012781.parquet'
220
+ - config_name: harness_hendrycksTest_formal_logic_5
221
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T21:43:07.012781.parquet'
222
+ - config_name: harness_hendrycksTest_global_facts_5
223
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T21:43:07.012781.parquet'
224
+ - config_name: harness_hendrycksTest_high_school_biology_5
225
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T21:43:07.012781.parquet'
226
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
227
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T21:43:07.012781.parquet'
228
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
229
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T21:43:07.012781.parquet'
230
+ - config_name: harness_hendrycksTest_high_school_european_history_5
231
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T21:43:07.012781.parquet'
232
+ - config_name: harness_hendrycksTest_high_school_geography_5
233
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T21:43:07.012781.parquet'
234
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
235
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T21:43:07.012781.parquet'
236
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
237
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T21:43:07.012781.parquet'
238
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
239
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T21:43:07.012781.parquet'
240
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
241
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T21:43:07.012781.parquet'
242
+ - config_name: harness_hendrycksTest_high_school_physics_5
243
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T21:43:07.012781.parquet'
244
+ - config_name: harness_hendrycksTest_high_school_psychology_5
245
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T21:43:07.012781.parquet'
246
+ - config_name: harness_hendrycksTest_high_school_statistics_5
247
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T21:43:07.012781.parquet'
248
+ - config_name: harness_hendrycksTest_high_school_us_history_5
249
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T21:43:07.012781.parquet'
250
+ - config_name: harness_hendrycksTest_high_school_world_history_5
251
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T21:43:07.012781.parquet'
252
+ - config_name: harness_hendrycksTest_human_aging_5
253
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T21:43:07.012781.parquet'
254
+ - config_name: harness_hendrycksTest_human_sexuality_5
255
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T21:43:07.012781.parquet'
256
+ - config_name: harness_hendrycksTest_international_law_5
257
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-07-19T21:43:07.012781.parquet'
258
+ - config_name: harness_hendrycksTest_jurisprudence_5
259
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T21:43:07.012781.parquet'
260
+ - config_name: harness_hendrycksTest_logical_fallacies_5
261
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T21:43:07.012781.parquet'
262
+ - config_name: harness_hendrycksTest_machine_learning_5
263
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T21:43:07.012781.parquet'
264
+ - config_name: harness_hendrycksTest_management_5
265
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-07-19T21:43:07.012781.parquet'
266
+ - config_name: harness_hendrycksTest_marketing_5
267
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-07-19T21:43:07.012781.parquet'
268
+ - config_name: harness_hendrycksTest_medical_genetics_5
269
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T21:43:07.012781.parquet'
270
+ - config_name: harness_hendrycksTest_miscellaneous_5
271
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T21:43:07.012781.parquet'
272
+ - config_name: harness_hendrycksTest_moral_disputes_5
273
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T21:43:07.012781.parquet'
274
+ - config_name: harness_hendrycksTest_moral_scenarios_5
275
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T21:43:07.012781.parquet'
276
+ - config_name: harness_hendrycksTest_nutrition_5
277
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T21:43:07.012781.parquet'
278
+ - config_name: harness_hendrycksTest_philosophy_5
279
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T21:43:07.012781.parquet'
280
+ - config_name: harness_hendrycksTest_prehistory_5
281
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T21:43:07.012781.parquet'
282
+ - config_name: harness_hendrycksTest_professional_accounting_5
283
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T21:43:07.012781.parquet'
284
+ - config_name: harness_hendrycksTest_professional_law_5
285
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T21:43:07.012781.parquet'
286
+ - config_name: harness_hendrycksTest_professional_medicine_5
287
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T21:43:07.012781.parquet'
288
+ - config_name: harness_hendrycksTest_professional_psychology_5
289
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T21:43:07.012781.parquet'
290
+ - config_name: harness_hendrycksTest_public_relations_5
291
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T21:43:07.012781.parquet'
292
+ - config_name: harness_hendrycksTest_security_studies_5
293
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T21:43:07.012781.parquet'
294
+ - config_name: harness_hendrycksTest_sociology_5
295
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-07-19T21:43:07.012781.parquet'
296
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
297
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T21:43:07.012781.parquet'
298
+ - config_name: harness_hendrycksTest_virology_5
299
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-07-19T21:43:07.012781.parquet'
300
+ - config_name: harness_hendrycksTest_world_religions_5
301
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T21:43:07.012781.parquet'
302
+ - config_name: harness_truthfulqa_mc_0
303
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-07-19T21:43:07.012781.parquet'
304
+ - config_name: results
305
+ data_files: '**/results_2023-07-19T21:43:07.012781.json'
306
+ ---
307
+
308
+ # Dataset Card for Evaluation run of h2oai/h2ogpt-oasst1-512-20b
309
+
310
+ ## Dataset Description
311
+
312
+ - **Homepage:**
313
+ - **Repository:** https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b
314
+ - **Paper:**
315
+ - **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
316
+ - **Point of Contact:** clementine@hf.co
317
+
318
+ ### Dataset Summary
319
+
320
+ Dataset automatically created during the evaluation run of model [h2oai/h2ogpt-oasst1-512-20b](https://huggingface.co/h2oai/h2ogpt-oasst1-512-20b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
321
+
322
+ The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.
323
+
324
+ 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.
325
+
326
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
327
+
328
+ To load the details from a run, you can for instance do the following:
329
+ ```python
330
+ from datasets import load_dataset
331
+ data = load_dataset("open-llm-leaderboard/details_h2oai__h2ogpt-oasst1-512-20b",
332
+ "harness_truthfulqa_mc_0",
333
+ split="train")
334
+ ```
335
+
336
+ ## Latest results
337
+
338
+ These are the latest results from run 2023-07-19T21:43:07.012781
339
+
340
+ ```python
341
+ {
342
+ "all": {
343
+ "acc": 0.27000963699095726,
344
+ "acc_stderr": 0.03207462279029465,
345
+ "acc_norm": 0.2738892269037556,
346
+ "acc_norm_stderr": 0.032067484735330685,
347
+ "mc1": 0.24724602203182375,
348
+ "mc1_stderr": 0.015102404797359652,
349
+ "mc2": 0.3749705897753555,
350
+ "mc2_stderr": 0.014205445237088549
351
+ },
352
+ "harness|arc:challenge|25": {
353
+ "acc": 0.4308873720136519,
354
+ "acc_stderr": 0.014471133392642475,
355
+ "acc_norm": 0.46928327645051193,
356
+ "acc_norm_stderr": 0.014583792546304038
357
+ },
358
+ "harness|hellaswag|10": {
359
+ "acc": 0.5372435769766979,
360
+ "acc_stderr": 0.004975919665116535,
361
+ "acc_norm": 0.7277434773949413,
362
+ "acc_norm_stderr": 0.004442115268580939
363
+ },
364
+ "harness|hendrycksTest-abstract_algebra|5": {
365
+ "acc": 0.27,
366
+ "acc_stderr": 0.044619604333847415,
367
+ "acc_norm": 0.27,
368
+ "acc_norm_stderr": 0.044619604333847415
369
+ },
370
+ "harness|hendrycksTest-anatomy|5": {
371
+ "acc": 0.34814814814814815,
372
+ "acc_stderr": 0.041153246103369526,
373
+ "acc_norm": 0.34814814814814815,
374
+ "acc_norm_stderr": 0.041153246103369526
375
+ },
376
+ "harness|hendrycksTest-astronomy|5": {
377
+ "acc": 0.3223684210526316,
378
+ "acc_stderr": 0.03803510248351585,
379
+ "acc_norm": 0.3223684210526316,
380
+ "acc_norm_stderr": 0.03803510248351585
381
+ },
382
+ "harness|hendrycksTest-business_ethics|5": {
383
+ "acc": 0.37,
384
+ "acc_stderr": 0.04852365870939099,
385
+ "acc_norm": 0.37,
386
+ "acc_norm_stderr": 0.04852365870939099
387
+ },
388
+ "harness|hendrycksTest-clinical_knowledge|5": {
389
+ "acc": 0.25660377358490566,
390
+ "acc_stderr": 0.026880647889051975,
391
+ "acc_norm": 0.25660377358490566,
392
+ "acc_norm_stderr": 0.026880647889051975
393
+ },
394
+ "harness|hendrycksTest-college_biology|5": {
395
+ "acc": 0.2708333333333333,
396
+ "acc_stderr": 0.03716177437566016,
397
+ "acc_norm": 0.2708333333333333,
398
+ "acc_norm_stderr": 0.03716177437566016
399
+ },
400
+ "harness|hendrycksTest-college_chemistry|5": {
401
+ "acc": 0.2,
402
+ "acc_stderr": 0.04020151261036846,
403
+ "acc_norm": 0.2,
404
+ "acc_norm_stderr": 0.04020151261036846
405
+ },
406
+ "harness|hendrycksTest-college_computer_science|5": {
407
+ "acc": 0.26,
408
+ "acc_stderr": 0.044084400227680794,
409
+ "acc_norm": 0.26,
410
+ "acc_norm_stderr": 0.044084400227680794
411
+ },
412
+ "harness|hendrycksTest-college_mathematics|5": {
413
+ "acc": 0.23,
414
+ "acc_stderr": 0.04229525846816505,
415
+ "acc_norm": 0.23,
416
+ "acc_norm_stderr": 0.04229525846816505
417
+ },
418
+ "harness|hendrycksTest-college_medicine|5": {
419
+ "acc": 0.2138728323699422,
420
+ "acc_stderr": 0.031265112061730424,
421
+ "acc_norm": 0.2138728323699422,
422
+ "acc_norm_stderr": 0.031265112061730424
423
+ },
424
+ "harness|hendrycksTest-college_physics|5": {
425
+ "acc": 0.21568627450980393,
426
+ "acc_stderr": 0.04092563958237655,
427
+ "acc_norm": 0.21568627450980393,
428
+ "acc_norm_stderr": 0.04092563958237655
429
+ },
430
+ "harness|hendrycksTest-computer_security|5": {
431
+ "acc": 0.37,
432
+ "acc_stderr": 0.04852365870939099,
433
+ "acc_norm": 0.37,
434
+ "acc_norm_stderr": 0.04852365870939099
435
+ },
436
+ "harness|hendrycksTest-conceptual_physics|5": {
437
+ "acc": 0.24680851063829787,
438
+ "acc_stderr": 0.0281854413012341,
439
+ "acc_norm": 0.24680851063829787,
440
+ "acc_norm_stderr": 0.0281854413012341
441
+ },
442
+ "harness|hendrycksTest-econometrics|5": {
443
+ "acc": 0.22807017543859648,
444
+ "acc_stderr": 0.03947152782669415,
445
+ "acc_norm": 0.22807017543859648,
446
+ "acc_norm_stderr": 0.03947152782669415
447
+ },
448
+ "harness|hendrycksTest-electrical_engineering|5": {
449
+ "acc": 0.2689655172413793,
450
+ "acc_stderr": 0.036951833116502325,
451
+ "acc_norm": 0.2689655172413793,
452
+ "acc_norm_stderr": 0.036951833116502325
453
+ },
454
+ "harness|hendrycksTest-elementary_mathematics|5": {
455
+ "acc": 0.2804232804232804,
456
+ "acc_stderr": 0.023135287974325645,
457
+ "acc_norm": 0.2804232804232804,
458
+ "acc_norm_stderr": 0.023135287974325645
459
+ },
460
+ "harness|hendrycksTest-formal_logic|5": {
461
+ "acc": 0.29365079365079366,
462
+ "acc_stderr": 0.040735243221471276,
463
+ "acc_norm": 0.29365079365079366,
464
+ "acc_norm_stderr": 0.040735243221471276
465
+ },
466
+ "harness|hendrycksTest-global_facts|5": {
467
+ "acc": 0.28,
468
+ "acc_stderr": 0.045126085985421255,
469
+ "acc_norm": 0.28,
470
+ "acc_norm_stderr": 0.045126085985421255
471
+ },
472
+ "harness|hendrycksTest-high_school_biology|5": {
473
+ "acc": 0.20967741935483872,
474
+ "acc_stderr": 0.023157879349083536,
475
+ "acc_norm": 0.20967741935483872,
476
+ "acc_norm_stderr": 0.023157879349083536
477
+ },
478
+ "harness|hendrycksTest-high_school_chemistry|5": {
479
+ "acc": 0.18226600985221675,
480
+ "acc_stderr": 0.02716334085964515,
481
+ "acc_norm": 0.18226600985221675,
482
+ "acc_norm_stderr": 0.02716334085964515
483
+ },
484
+ "harness|hendrycksTest-high_school_computer_science|5": {
485
+ "acc": 0.27,
486
+ "acc_stderr": 0.04461960433384741,
487
+ "acc_norm": 0.27,
488
+ "acc_norm_stderr": 0.04461960433384741
489
+ },
490
+ "harness|hendrycksTest-high_school_european_history|5": {
491
+ "acc": 0.24848484848484848,
492
+ "acc_stderr": 0.03374402644139404,
493
+ "acc_norm": 0.24848484848484848,
494
+ "acc_norm_stderr": 0.03374402644139404
495
+ },
496
+ "harness|hendrycksTest-high_school_geography|5": {
497
+ "acc": 0.23232323232323232,
498
+ "acc_stderr": 0.03008862949021749,
499
+ "acc_norm": 0.23232323232323232,
500
+ "acc_norm_stderr": 0.03008862949021749
501
+ },
502
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
503
+ "acc": 0.26424870466321243,
504
+ "acc_stderr": 0.03182155050916647,
505
+ "acc_norm": 0.26424870466321243,
506
+ "acc_norm_stderr": 0.03182155050916647
507
+ },
508
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
509
+ "acc": 0.20512820512820512,
510
+ "acc_stderr": 0.02047323317355198,
511
+ "acc_norm": 0.20512820512820512,
512
+ "acc_norm_stderr": 0.02047323317355198
513
+ },
514
+ "harness|hendrycksTest-high_school_mathematics|5": {
515
+ "acc": 0.27037037037037037,
516
+ "acc_stderr": 0.02708037281514565,
517
+ "acc_norm": 0.27037037037037037,
518
+ "acc_norm_stderr": 0.02708037281514565
519
+ },
520
+ "harness|hendrycksTest-high_school_microeconomics|5": {
521
+ "acc": 0.21428571428571427,
522
+ "acc_stderr": 0.02665353159671549,
523
+ "acc_norm": 0.21428571428571427,
524
+ "acc_norm_stderr": 0.02665353159671549
525
+ },
526
+ "harness|hendrycksTest-high_school_physics|5": {
527
+ "acc": 0.2251655629139073,
528
+ "acc_stderr": 0.03410435282008937,
529
+ "acc_norm": 0.2251655629139073,
530
+ "acc_norm_stderr": 0.03410435282008937
531
+ },
532
+ "harness|hendrycksTest-high_school_psychology|5": {
533
+ "acc": 0.21651376146788992,
534
+ "acc_stderr": 0.01765871059444313,
535
+ "acc_norm": 0.21651376146788992,
536
+ "acc_norm_stderr": 0.01765871059444313
537
+ },
538
+ "harness|hendrycksTest-high_school_statistics|5": {
539
+ "acc": 0.1574074074074074,
540
+ "acc_stderr": 0.024837173518242384,
541
+ "acc_norm": 0.1574074074074074,
542
+ "acc_norm_stderr": 0.024837173518242384
543
+ },
544
+ "harness|hendrycksTest-high_school_us_history|5": {
545
+ "acc": 0.27941176470588236,
546
+ "acc_stderr": 0.031493281045079556,
547
+ "acc_norm": 0.27941176470588236,
548
+ "acc_norm_stderr": 0.031493281045079556
549
+ },
550
+ "harness|hendrycksTest-high_school_world_history|5": {
551
+ "acc": 0.27848101265822783,
552
+ "acc_stderr": 0.029178682304842544,
553
+ "acc_norm": 0.27848101265822783,
554
+ "acc_norm_stderr": 0.029178682304842544
555
+ },
556
+ "harness|hendrycksTest-human_aging|5": {
557
+ "acc": 0.31390134529147984,
558
+ "acc_stderr": 0.031146796482972465,
559
+ "acc_norm": 0.31390134529147984,
560
+ "acc_norm_stderr": 0.031146796482972465
561
+ },
562
+ "harness|hendrycksTest-human_sexuality|5": {
563
+ "acc": 0.2366412213740458,
564
+ "acc_stderr": 0.037276735755969174,
565
+ "acc_norm": 0.2366412213740458,
566
+ "acc_norm_stderr": 0.037276735755969174
567
+ },
568
+ "harness|hendrycksTest-international_law|5": {
569
+ "acc": 0.2975206611570248,
570
+ "acc_stderr": 0.04173349148083497,
571
+ "acc_norm": 0.2975206611570248,
572
+ "acc_norm_stderr": 0.04173349148083497
573
+ },
574
+ "harness|hendrycksTest-jurisprudence|5": {
575
+ "acc": 0.32407407407407407,
576
+ "acc_stderr": 0.04524596007030048,
577
+ "acc_norm": 0.32407407407407407,
578
+ "acc_norm_stderr": 0.04524596007030048
579
+ },
580
+ "harness|hendrycksTest-logical_fallacies|5": {
581
+ "acc": 0.3067484662576687,
582
+ "acc_stderr": 0.03623089915724148,
583
+ "acc_norm": 0.3067484662576687,
584
+ "acc_norm_stderr": 0.03623089915724148
585
+ },
586
+ "harness|hendrycksTest-machine_learning|5": {
587
+ "acc": 0.20535714285714285,
588
+ "acc_stderr": 0.03834241021419073,
589
+ "acc_norm": 0.20535714285714285,
590
+ "acc_norm_stderr": 0.03834241021419073
591
+ },
592
+ "harness|hendrycksTest-management|5": {
593
+ "acc": 0.23300970873786409,
594
+ "acc_stderr": 0.041858325989283136,
595
+ "acc_norm": 0.23300970873786409,
596
+ "acc_norm_stderr": 0.041858325989283136
597
+ },
598
+ "harness|hendrycksTest-marketing|5": {
599
+ "acc": 0.2606837606837607,
600
+ "acc_stderr": 0.028760348956523414,
601
+ "acc_norm": 0.2606837606837607,
602
+ "acc_norm_stderr": 0.028760348956523414
603
+ },
604
+ "harness|hendrycksTest-medical_genetics|5": {
605
+ "acc": 0.32,
606
+ "acc_stderr": 0.046882617226215034,
607
+ "acc_norm": 0.32,
608
+ "acc_norm_stderr": 0.046882617226215034
609
+ },
610
+ "harness|hendrycksTest-miscellaneous|5": {
611
+ "acc": 0.2796934865900383,
612
+ "acc_stderr": 0.01605079214803653,
613
+ "acc_norm": 0.2796934865900383,
614
+ "acc_norm_stderr": 0.01605079214803653
615
+ },
616
+ "harness|hendrycksTest-moral_disputes|5": {
617
+ "acc": 0.30057803468208094,
618
+ "acc_stderr": 0.024685316867257803,
619
+ "acc_norm": 0.30057803468208094,
620
+ "acc_norm_stderr": 0.024685316867257803
621
+ },
622
+ "harness|hendrycksTest-moral_scenarios|5": {
623
+ "acc": 0.24692737430167597,
624
+ "acc_stderr": 0.014422292204808836,
625
+ "acc_norm": 0.24692737430167597,
626
+ "acc_norm_stderr": 0.014422292204808836
627
+ },
628
+ "harness|hendrycksTest-nutrition|5": {
629
+ "acc": 0.28104575163398693,
630
+ "acc_stderr": 0.02573885479781873,
631
+ "acc_norm": 0.28104575163398693,
632
+ "acc_norm_stderr": 0.02573885479781873
633
+ },
634
+ "harness|hendrycksTest-philosophy|5": {
635
+ "acc": 0.31189710610932475,
636
+ "acc_stderr": 0.026311858071854155,
637
+ "acc_norm": 0.31189710610932475,
638
+ "acc_norm_stderr": 0.026311858071854155
639
+ },
640
+ "harness|hendrycksTest-prehistory|5": {
641
+ "acc": 0.26851851851851855,
642
+ "acc_stderr": 0.02465968518596727,
643
+ "acc_norm": 0.26851851851851855,
644
+ "acc_norm_stderr": 0.02465968518596727
645
+ },
646
+ "harness|hendrycksTest-professional_accounting|5": {
647
+ "acc": 0.25886524822695034,
648
+ "acc_stderr": 0.026129572527180848,
649
+ "acc_norm": 0.25886524822695034,
650
+ "acc_norm_stderr": 0.026129572527180848
651
+ },
652
+ "harness|hendrycksTest-professional_law|5": {
653
+ "acc": 0.2438070404172099,
654
+ "acc_stderr": 0.010966507972178475,
655
+ "acc_norm": 0.2438070404172099,
656
+ "acc_norm_stderr": 0.010966507972178475
657
+ },
658
+ "harness|hendrycksTest-professional_medicine|5": {
659
+ "acc": 0.20220588235294118,
660
+ "acc_stderr": 0.024398192986654924,
661
+ "acc_norm": 0.20220588235294118,
662
+ "acc_norm_stderr": 0.024398192986654924
663
+ },
664
+ "harness|hendrycksTest-professional_psychology|5": {
665
+ "acc": 0.26633986928104575,
666
+ "acc_stderr": 0.01788318813466719,
667
+ "acc_norm": 0.26633986928104575,
668
+ "acc_norm_stderr": 0.01788318813466719
669
+ },
670
+ "harness|hendrycksTest-public_relations|5": {
671
+ "acc": 0.22727272727272727,
672
+ "acc_stderr": 0.040139645540727735,
673
+ "acc_norm": 0.22727272727272727,
674
+ "acc_norm_stderr": 0.040139645540727735
675
+ },
676
+ "harness|hendrycksTest-security_studies|5": {
677
+ "acc": 0.22040816326530613,
678
+ "acc_stderr": 0.026537045312145277,
679
+ "acc_norm": 0.22040816326530613,
680
+ "acc_norm_stderr": 0.026537045312145277
681
+ },
682
+ "harness|hendrycksTest-sociology|5": {
683
+ "acc": 0.263681592039801,
684
+ "acc_stderr": 0.03115715086935555,
685
+ "acc_norm": 0.263681592039801,
686
+ "acc_norm_stderr": 0.03115715086935555
687
+ },
688
+ "harness|hendrycksTest-us_foreign_policy|5": {
689
+ "acc": 0.31,
690
+ "acc_stderr": 0.04648231987117316,
691
+ "acc_norm": 0.31,
692
+ "acc_norm_stderr": 0.04648231987117316
693
+ },
694
+ "harness|hendrycksTest-virology|5": {
695
+ "acc": 0.25903614457831325,
696
+ "acc_stderr": 0.03410646614071856,
697
+ "acc_norm": 0.25903614457831325,
698
+ "acc_norm_stderr": 0.03410646614071856
699
+ },
700
+ "harness|hendrycksTest-world_religions|5": {
701
+ "acc": 0.34502923976608185,
702
+ "acc_stderr": 0.036459813773888065,
703
+ "acc_norm": 0.34502923976608185,
704
+ "acc_norm_stderr": 0.036459813773888065
705
+ },
706
+ "harness|truthfulqa:mc|0": {
707
+ "mc1": 0.24724602203182375,
708
+ "mc1_stderr": 0.015102404797359652,
709
+ "mc2": 0.3749705897753555,
710
+ "mc2_stderr": 0.014205445237088549
711
+ }
712
+ }
713
+ ```
714
+
715
+ ### Supported Tasks and Leaderboards
716
+
717
+ [More Information Needed]
718
+
719
+ ### Languages
720
+
721
+ [More Information Needed]
722
+
723
+ ## Dataset Structure
724
+
725
+ ### Data Instances
726
+
727
+ [More Information Needed]
728
+
729
+ ### Data Fields
730
+
731
+ [More Information Needed]
732
+
733
+ ### Data Splits
734
+
735
+ [More Information Needed]
736
+
737
+ ## Dataset Creation
738
+
739
+ ### Curation Rationale
740
+
741
+ [More Information Needed]
742
+
743
+ ### Source Data
744
+
745
+ #### Initial Data Collection and Normalization
746
+
747
+ [More Information Needed]
748
+
749
+ #### Who are the source language producers?
750
+
751
+ [More Information Needed]
752
+
753
+ ### Annotations
754
+
755
+ #### Annotation process
756
+
757
+ [More Information Needed]
758
+
759
+ #### Who are the annotators?
760
+
761
+ [More Information Needed]
762
+
763
+ ### Personal and Sensitive Information
764
+
765
+ [More Information Needed]
766
+
767
+ ## Considerations for Using the Data
768
+
769
+ ### Social Impact of Dataset
770
+
771
+ [More Information Needed]
772
+
773
+ ### Discussion of Biases
774
+
775
+ [More Information Needed]
776
+
777
+ ### Other Known Limitations
778
+
779
+ [More Information Needed]
780
+
781
+ ## Additional Information
782
+
783
+ ### Dataset Curators
784
+
785
+ [More Information Needed]
786
+
787
+ ### Licensing Information
788
+
789
+ [More Information Needed]
790
+
791
+ ### Citation Information
792
+
793
+ [More Information Needed]
794
+
795
+ ### Contributions
796
+
797
+ [More Information Needed]