Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_Kiddyz__testlm-1-1

Dataset card Files Community
thomwolf HF staff commited on
Commit
96acf43
•
1 Parent(s): 6dc02cd

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 Kiddyz/testlm-1-1
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Kiddyz/testlm-1-1](https://huggingface.co/Kiddyz/testlm-1-1) on the [Open LLM\
5
+ \ 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_Kiddyz__testlm-1-1\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-08-16T10:49:10.911062\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.5128834307003443,\n \"acc_stderr\"\
18
+ : 0.03501260490290392,\n \"acc_norm\": 0.5166256154161327,\n \"acc_norm_stderr\"\
19
+ : 0.03500071412093006,\n \"mc1\": 0.32802937576499386,\n \"mc1_stderr\"\
20
+ : 0.01643563293281503,\n \"mc2\": 0.48413168566081527,\n \"mc2_stderr\"\
21
+ : 0.015167638286466481\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.5017064846416383,\n \"acc_stderr\": 0.014611305705056992,\n \
23
+ \ \"acc_norm\": 0.5349829351535836,\n \"acc_norm_stderr\": 0.014575583922019669\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5705038836885082,\n\
25
+ \ \"acc_stderr\": 0.004939925958728884,\n \"acc_norm\": 0.758016331408086,\n\
26
+ \ \"acc_norm_stderr\": 0.004274091605308121\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
28
+ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4740740740740741,\n\
30
+ \ \"acc_stderr\": 0.04313531696750573,\n \"acc_norm\": 0.4740740740740741,\n\
31
+ \ \"acc_norm_stderr\": 0.04313531696750573\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.5131578947368421,\n \"acc_stderr\": 0.04067533136309174,\n\
33
+ \ \"acc_norm\": 0.5131578947368421,\n \"acc_norm_stderr\": 0.04067533136309174\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\
35
+ \ \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.54,\n \
36
+ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.5433962264150943,\n \"acc_stderr\": 0.03065674869673943,\n\
38
+ \ \"acc_norm\": 0.5433962264150943,\n \"acc_norm_stderr\": 0.03065674869673943\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5555555555555556,\n\
40
+ \ \"acc_stderr\": 0.041553199555931467,\n \"acc_norm\": 0.5555555555555556,\n\
41
+ \ \"acc_norm_stderr\": 0.041553199555931467\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
43
+ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
45
+ : 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \"\
46
+ acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
48
+ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4624277456647399,\n\
50
+ \ \"acc_stderr\": 0.0380168510452446,\n \"acc_norm\": 0.4624277456647399,\n\
51
+ \ \"acc_norm_stderr\": 0.0380168510452446\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617747,\n\
53
+ \ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617747\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.67,\n \"acc_stderr\": 0.04725815626252609,\n \"acc_norm\": 0.67,\n\
56
+ \ \"acc_norm_stderr\": 0.04725815626252609\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.42127659574468085,\n \"acc_stderr\": 0.03227834510146267,\n\
58
+ \ \"acc_norm\": 0.42127659574468085,\n \"acc_norm_stderr\": 0.03227834510146267\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
60
+ \ \"acc_stderr\": 0.04303684033537314,\n \"acc_norm\": 0.2982456140350877,\n\
61
+ \ \"acc_norm_stderr\": 0.04303684033537314\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\
63
+ \ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.3333333333333333,\n \"acc_stderr\": 0.0242785680243077,\n \"acc_norm\"\
66
+ : 0.3333333333333333,\n \"acc_norm_stderr\": 0.0242785680243077\n },\n\
67
+ \ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.31746031746031744,\n\
68
+ \ \"acc_stderr\": 0.04163453031302859,\n \"acc_norm\": 0.31746031746031744,\n\
69
+ \ \"acc_norm_stderr\": 0.04163453031302859\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
71
+ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
73
+ : 0.5903225806451613,\n \"acc_stderr\": 0.027976054915347368,\n \"\
74
+ acc_norm\": 0.5903225806451613,\n \"acc_norm_stderr\": 0.027976054915347368\n\
75
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
76
+ : 0.35960591133004927,\n \"acc_stderr\": 0.033764582465095665,\n \"\
77
+ acc_norm\": 0.35960591133004927,\n \"acc_norm_stderr\": 0.033764582465095665\n\
78
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
79
+ \ \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
80
+ : 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
81
+ : {\n \"acc\": 0.6484848484848484,\n \"acc_stderr\": 0.037282069986826503,\n\
82
+ \ \"acc_norm\": 0.6484848484848484,\n \"acc_norm_stderr\": 0.037282069986826503\n\
83
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
84
+ : 0.6262626262626263,\n \"acc_stderr\": 0.03446897738659333,\n \"\
85
+ acc_norm\": 0.6262626262626263,\n \"acc_norm_stderr\": 0.03446897738659333\n\
86
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
87
+ \ \"acc\": 0.7202072538860104,\n \"acc_stderr\": 0.03239637046735704,\n\
88
+ \ \"acc_norm\": 0.7202072538860104,\n \"acc_norm_stderr\": 0.03239637046735704\n\
89
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
90
+ \ \"acc\": 0.49743589743589745,\n \"acc_stderr\": 0.025350672979412202,\n\
91
+ \ \"acc_norm\": 0.49743589743589745,\n \"acc_norm_stderr\": 0.025350672979412202\n\
92
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
93
+ acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073838,\n \
94
+ \ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073838\n\
95
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
96
+ \ \"acc\": 0.5210084033613446,\n \"acc_stderr\": 0.03244980849990029,\n \
97
+ \ \"acc_norm\": 0.5210084033613446,\n \"acc_norm_stderr\": 0.03244980849990029\n\
98
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
99
+ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\
100
+ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\
101
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
102
+ : 0.7119266055045872,\n \"acc_stderr\": 0.01941644589263603,\n \"\
103
+ acc_norm\": 0.7119266055045872,\n \"acc_norm_stderr\": 0.01941644589263603\n\
104
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
105
+ : 0.44907407407407407,\n \"acc_stderr\": 0.03392238405321616,\n \"\
106
+ acc_norm\": 0.44907407407407407,\n \"acc_norm_stderr\": 0.03392238405321616\n\
107
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
108
+ : 0.7156862745098039,\n \"acc_stderr\": 0.03166009679399813,\n \"\
109
+ acc_norm\": 0.7156862745098039,\n \"acc_norm_stderr\": 0.03166009679399813\n\
110
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
111
+ acc\": 0.7088607594936709,\n \"acc_stderr\": 0.02957160106575337,\n \
112
+ \ \"acc_norm\": 0.7088607594936709,\n \"acc_norm_stderr\": 0.02957160106575337\n\
113
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5919282511210763,\n\
114
+ \ \"acc_stderr\": 0.03298574607842822,\n \"acc_norm\": 0.5919282511210763,\n\
115
+ \ \"acc_norm_stderr\": 0.03298574607842822\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
116
+ : {\n \"acc\": 0.5801526717557252,\n \"acc_stderr\": 0.04328577215262972,\n\
117
+ \ \"acc_norm\": 0.5801526717557252,\n \"acc_norm_stderr\": 0.04328577215262972\n\
118
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
119
+ \ 0.6528925619834711,\n \"acc_stderr\": 0.043457245702925335,\n \"\
120
+ acc_norm\": 0.6528925619834711,\n \"acc_norm_stderr\": 0.043457245702925335\n\
121
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5833333333333334,\n\
122
+ \ \"acc_stderr\": 0.04766075165356461,\n \"acc_norm\": 0.5833333333333334,\n\
123
+ \ \"acc_norm_stderr\": 0.04766075165356461\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
124
+ : {\n \"acc\": 0.5705521472392638,\n \"acc_stderr\": 0.03889066619112722,\n\
125
+ \ \"acc_norm\": 0.5705521472392638,\n \"acc_norm_stderr\": 0.03889066619112722\n\
126
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.2857142857142857,\n\
127
+ \ \"acc_stderr\": 0.04287858751340456,\n \"acc_norm\": 0.2857142857142857,\n\
128
+ \ \"acc_norm_stderr\": 0.04287858751340456\n },\n \"harness|hendrycksTest-management|5\"\
129
+ : {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
130
+ \ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
131
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7649572649572649,\n\
132
+ \ \"acc_stderr\": 0.027778835904935434,\n \"acc_norm\": 0.7649572649572649,\n\
133
+ \ \"acc_norm_stderr\": 0.027778835904935434\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
134
+ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \
135
+ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \
136
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7088122605363985,\n\
137
+ \ \"acc_stderr\": 0.0162460870697014,\n \"acc_norm\": 0.7088122605363985,\n\
138
+ \ \"acc_norm_stderr\": 0.0162460870697014\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
139
+ : {\n \"acc\": 0.5173410404624278,\n \"acc_stderr\": 0.026902900458666647,\n\
140
+ \ \"acc_norm\": 0.5173410404624278,\n \"acc_norm_stderr\": 0.026902900458666647\n\
141
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.29720670391061454,\n\
142
+ \ \"acc_stderr\": 0.015285313353641602,\n \"acc_norm\": 0.29720670391061454,\n\
143
+ \ \"acc_norm_stderr\": 0.015285313353641602\n },\n \"harness|hendrycksTest-nutrition|5\"\
144
+ : {\n \"acc\": 0.5555555555555556,\n \"acc_stderr\": 0.028452639985088006,\n\
145
+ \ \"acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.028452639985088006\n\
146
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6045016077170418,\n\
147
+ \ \"acc_stderr\": 0.027770918531427838,\n \"acc_norm\": 0.6045016077170418,\n\
148
+ \ \"acc_norm_stderr\": 0.027770918531427838\n },\n \"harness|hendrycksTest-prehistory|5\"\
149
+ : {\n \"acc\": 0.5709876543209876,\n \"acc_stderr\": 0.027538925613470863,\n\
150
+ \ \"acc_norm\": 0.5709876543209876,\n \"acc_norm_stderr\": 0.027538925613470863\n\
151
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
152
+ acc\": 0.3971631205673759,\n \"acc_stderr\": 0.0291898056735871,\n \
153
+ \ \"acc_norm\": 0.3971631205673759,\n \"acc_norm_stderr\": 0.0291898056735871\n\
154
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3754889178617992,\n\
155
+ \ \"acc_stderr\": 0.012367945396728208,\n \"acc_norm\": 0.3754889178617992,\n\
156
+ \ \"acc_norm_stderr\": 0.012367945396728208\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
157
+ : {\n \"acc\": 0.4852941176470588,\n \"acc_stderr\": 0.03035969707904611,\n\
158
+ \ \"acc_norm\": 0.4852941176470588,\n \"acc_norm_stderr\": 0.03035969707904611\n\
159
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
160
+ acc\": 0.49836601307189543,\n \"acc_stderr\": 0.020227726838150124,\n \
161
+ \ \"acc_norm\": 0.49836601307189543,\n \"acc_norm_stderr\": 0.020227726838150124\n\
162
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
163
+ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
164
+ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
165
+ : {\n \"acc\": 0.6081632653061224,\n \"acc_stderr\": 0.031251275910891656,\n\
166
+ \ \"acc_norm\": 0.6081632653061224,\n \"acc_norm_stderr\": 0.031251275910891656\n\
167
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6716417910447762,\n\
168
+ \ \"acc_stderr\": 0.033206858897443244,\n \"acc_norm\": 0.6716417910447762,\n\
169
+ \ \"acc_norm_stderr\": 0.033206858897443244\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
170
+ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
171
+ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
172
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3795180722891566,\n\
173
+ \ \"acc_stderr\": 0.03777798822748018,\n \"acc_norm\": 0.3795180722891566,\n\
174
+ \ \"acc_norm_stderr\": 0.03777798822748018\n },\n \"harness|hendrycksTest-world_religions|5\"\
175
+ : {\n \"acc\": 0.6842105263157895,\n \"acc_stderr\": 0.03565079670708311,\n\
176
+ \ \"acc_norm\": 0.6842105263157895,\n \"acc_norm_stderr\": 0.03565079670708311\n\
177
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.32802937576499386,\n\
178
+ \ \"mc1_stderr\": 0.01643563293281503,\n \"mc2\": 0.48413168566081527,\n\
179
+ \ \"mc2_stderr\": 0.015167638286466481\n }\n}\n```"
180
+ repo_url: https://huggingface.co/Kiddyz/testlm-1-1
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_2023-08-16T10:49:10.911062.parquet'
186
+ - config_name: harness_hellaswag_10
187
+ data_files: '**/details_harness|hellaswag|10_2023-08-16T10:49:10.911062.parquet'
188
+ - config_name: harness_hendrycksTest_abstract_algebra_5
189
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-16T10:49:10.911062.parquet'
190
+ - config_name: harness_hendrycksTest_anatomy_5
191
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-08-16T10:49:10.911062.parquet'
192
+ - config_name: harness_hendrycksTest_astronomy_5
193
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-08-16T10:49:10.911062.parquet'
194
+ - config_name: harness_hendrycksTest_business_ethics_5
195
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-08-16T10:49:10.911062.parquet'
196
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
197
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-16T10:49:10.911062.parquet'
198
+ - config_name: harness_hendrycksTest_college_biology_5
199
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-08-16T10:49:10.911062.parquet'
200
+ - config_name: harness_hendrycksTest_college_chemistry_5
201
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-16T10:49:10.911062.parquet'
202
+ - config_name: harness_hendrycksTest_college_computer_science_5
203
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-16T10:49:10.911062.parquet'
204
+ - config_name: harness_hendrycksTest_college_mathematics_5
205
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-16T10:49:10.911062.parquet'
206
+ - config_name: harness_hendrycksTest_college_medicine_5
207
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-08-16T10:49:10.911062.parquet'
208
+ - config_name: harness_hendrycksTest_college_physics_5
209
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-08-16T10:49:10.911062.parquet'
210
+ - config_name: harness_hendrycksTest_computer_security_5
211
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-08-16T10:49:10.911062.parquet'
212
+ - config_name: harness_hendrycksTest_conceptual_physics_5
213
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-16T10:49:10.911062.parquet'
214
+ - config_name: harness_hendrycksTest_econometrics_5
215
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-08-16T10:49:10.911062.parquet'
216
+ - config_name: harness_hendrycksTest_electrical_engineering_5
217
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-16T10:49:10.911062.parquet'
218
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
219
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-16T10:49:10.911062.parquet'
220
+ - config_name: harness_hendrycksTest_formal_logic_5
221
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-08-16T10:49:10.911062.parquet'
222
+ - config_name: harness_hendrycksTest_global_facts_5
223
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-08-16T10:49:10.911062.parquet'
224
+ - config_name: harness_hendrycksTest_high_school_biology_5
225
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-16T10:49:10.911062.parquet'
226
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
227
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-16T10:49:10.911062.parquet'
228
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
229
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-16T10:49:10.911062.parquet'
230
+ - config_name: harness_hendrycksTest_high_school_european_history_5
231
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-16T10:49:10.911062.parquet'
232
+ - config_name: harness_hendrycksTest_high_school_geography_5
233
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-16T10:49:10.911062.parquet'
234
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
235
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-16T10:49:10.911062.parquet'
236
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
237
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-16T10:49:10.911062.parquet'
238
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
239
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-16T10:49:10.911062.parquet'
240
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
241
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-16T10:49:10.911062.parquet'
242
+ - config_name: harness_hendrycksTest_high_school_physics_5
243
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-16T10:49:10.911062.parquet'
244
+ - config_name: harness_hendrycksTest_high_school_psychology_5
245
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-16T10:49:10.911062.parquet'
246
+ - config_name: harness_hendrycksTest_high_school_statistics_5
247
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-16T10:49:10.911062.parquet'
248
+ - config_name: harness_hendrycksTest_high_school_us_history_5
249
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-16T10:49:10.911062.parquet'
250
+ - config_name: harness_hendrycksTest_high_school_world_history_5
251
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-16T10:49:10.911062.parquet'
252
+ - config_name: harness_hendrycksTest_human_aging_5
253
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-08-16T10:49:10.911062.parquet'
254
+ - config_name: harness_hendrycksTest_human_sexuality_5
255
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-16T10:49:10.911062.parquet'
256
+ - config_name: harness_hendrycksTest_international_law_5
257
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-08-16T10:49:10.911062.parquet'
258
+ - config_name: harness_hendrycksTest_jurisprudence_5
259
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-16T10:49:10.911062.parquet'
260
+ - config_name: harness_hendrycksTest_logical_fallacies_5
261
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-16T10:49:10.911062.parquet'
262
+ - config_name: harness_hendrycksTest_machine_learning_5
263
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-08-16T10:49:10.911062.parquet'
264
+ - config_name: harness_hendrycksTest_management_5
265
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-08-16T10:49:10.911062.parquet'
266
+ - config_name: harness_hendrycksTest_marketing_5
267
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-08-16T10:49:10.911062.parquet'
268
+ - config_name: harness_hendrycksTest_medical_genetics_5
269
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-16T10:49:10.911062.parquet'
270
+ - config_name: harness_hendrycksTest_miscellaneous_5
271
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-16T10:49:10.911062.parquet'
272
+ - config_name: harness_hendrycksTest_moral_disputes_5
273
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-16T10:49:10.911062.parquet'
274
+ - config_name: harness_hendrycksTest_moral_scenarios_5
275
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-16T10:49:10.911062.parquet'
276
+ - config_name: harness_hendrycksTest_nutrition_5
277
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-08-16T10:49:10.911062.parquet'
278
+ - config_name: harness_hendrycksTest_philosophy_5
279
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-08-16T10:49:10.911062.parquet'
280
+ - config_name: harness_hendrycksTest_prehistory_5
281
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-08-16T10:49:10.911062.parquet'
282
+ - config_name: harness_hendrycksTest_professional_accounting_5
283
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-16T10:49:10.911062.parquet'
284
+ - config_name: harness_hendrycksTest_professional_law_5
285
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-08-16T10:49:10.911062.parquet'
286
+ - config_name: harness_hendrycksTest_professional_medicine_5
287
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-16T10:49:10.911062.parquet'
288
+ - config_name: harness_hendrycksTest_professional_psychology_5
289
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-16T10:49:10.911062.parquet'
290
+ - config_name: harness_hendrycksTest_public_relations_5
291
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-08-16T10:49:10.911062.parquet'
292
+ - config_name: harness_hendrycksTest_security_studies_5
293
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-08-16T10:49:10.911062.parquet'
294
+ - config_name: harness_hendrycksTest_sociology_5
295
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-08-16T10:49:10.911062.parquet'
296
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
297
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-16T10:49:10.911062.parquet'
298
+ - config_name: harness_hendrycksTest_virology_5
299
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-08-16T10:49:10.911062.parquet'
300
+ - config_name: harness_hendrycksTest_world_religions_5
301
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-08-16T10:49:10.911062.parquet'
302
+ - config_name: harness_truthfulqa_mc_0
303
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-08-16T10:49:10.911062.parquet'
304
+ - config_name: results
305
+ data_files: '**/results_2023-08-16T10:49:10.911062.json'
306
+ ---
307
+
308
+ # Dataset Card for Evaluation run of Kiddyz/testlm-1-1
309
+
310
+ ## Dataset Description
311
+
312
+ - **Homepage:**
313
+ - **Repository:** https://huggingface.co/Kiddyz/testlm-1-1
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 [Kiddyz/testlm-1-1](https://huggingface.co/Kiddyz/testlm-1-1) 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_Kiddyz__testlm-1-1",
332
+ "harness_truthfulqa_mc_0",
333
+ split="train")
334
+ ```
335
+
336
+ ## Latest results
337
+
338
+ These are the latest results from run 2023-08-16T10:49:10.911062
339
+
340
+ ```python
341
+ {
342
+ "all": {
343
+ "acc": 0.5128834307003443,
344
+ "acc_stderr": 0.03501260490290392,
345
+ "acc_norm": 0.5166256154161327,
346
+ "acc_norm_stderr": 0.03500071412093006,
347
+ "mc1": 0.32802937576499386,
348
+ "mc1_stderr": 0.01643563293281503,
349
+ "mc2": 0.48413168566081527,
350
+ "mc2_stderr": 0.015167638286466481
351
+ },
352
+ "harness|arc:challenge|25": {
353
+ "acc": 0.5017064846416383,
354
+ "acc_stderr": 0.014611305705056992,
355
+ "acc_norm": 0.5349829351535836,
356
+ "acc_norm_stderr": 0.014575583922019669
357
+ },
358
+ "harness|hellaswag|10": {
359
+ "acc": 0.5705038836885082,
360
+ "acc_stderr": 0.004939925958728884,
361
+ "acc_norm": 0.758016331408086,
362
+ "acc_norm_stderr": 0.004274091605308121
363
+ },
364
+ "harness|hendrycksTest-abstract_algebra|5": {
365
+ "acc": 0.25,
366
+ "acc_stderr": 0.04351941398892446,
367
+ "acc_norm": 0.25,
368
+ "acc_norm_stderr": 0.04351941398892446
369
+ },
370
+ "harness|hendrycksTest-anatomy|5": {
371
+ "acc": 0.4740740740740741,
372
+ "acc_stderr": 0.04313531696750573,
373
+ "acc_norm": 0.4740740740740741,
374
+ "acc_norm_stderr": 0.04313531696750573
375
+ },
376
+ "harness|hendrycksTest-astronomy|5": {
377
+ "acc": 0.5131578947368421,
378
+ "acc_stderr": 0.04067533136309174,
379
+ "acc_norm": 0.5131578947368421,
380
+ "acc_norm_stderr": 0.04067533136309174
381
+ },
382
+ "harness|hendrycksTest-business_ethics|5": {
383
+ "acc": 0.54,
384
+ "acc_stderr": 0.05009082659620332,
385
+ "acc_norm": 0.54,
386
+ "acc_norm_stderr": 0.05009082659620332
387
+ },
388
+ "harness|hendrycksTest-clinical_knowledge|5": {
389
+ "acc": 0.5433962264150943,
390
+ "acc_stderr": 0.03065674869673943,
391
+ "acc_norm": 0.5433962264150943,
392
+ "acc_norm_stderr": 0.03065674869673943
393
+ },
394
+ "harness|hendrycksTest-college_biology|5": {
395
+ "acc": 0.5555555555555556,
396
+ "acc_stderr": 0.041553199555931467,
397
+ "acc_norm": 0.5555555555555556,
398
+ "acc_norm_stderr": 0.041553199555931467
399
+ },
400
+ "harness|hendrycksTest-college_chemistry|5": {
401
+ "acc": 0.39,
402
+ "acc_stderr": 0.04902071300001975,
403
+ "acc_norm": 0.39,
404
+ "acc_norm_stderr": 0.04902071300001975
405
+ },
406
+ "harness|hendrycksTest-college_computer_science|5": {
407
+ "acc": 0.45,
408
+ "acc_stderr": 0.05,
409
+ "acc_norm": 0.45,
410
+ "acc_norm_stderr": 0.05
411
+ },
412
+ "harness|hendrycksTest-college_mathematics|5": {
413
+ "acc": 0.37,
414
+ "acc_stderr": 0.04852365870939099,
415
+ "acc_norm": 0.37,
416
+ "acc_norm_stderr": 0.04852365870939099
417
+ },
418
+ "harness|hendrycksTest-college_medicine|5": {
419
+ "acc": 0.4624277456647399,
420
+ "acc_stderr": 0.0380168510452446,
421
+ "acc_norm": 0.4624277456647399,
422
+ "acc_norm_stderr": 0.0380168510452446
423
+ },
424
+ "harness|hendrycksTest-college_physics|5": {
425
+ "acc": 0.20588235294117646,
426
+ "acc_stderr": 0.04023382273617747,
427
+ "acc_norm": 0.20588235294117646,
428
+ "acc_norm_stderr": 0.04023382273617747
429
+ },
430
+ "harness|hendrycksTest-computer_security|5": {
431
+ "acc": 0.67,
432
+ "acc_stderr": 0.04725815626252609,
433
+ "acc_norm": 0.67,
434
+ "acc_norm_stderr": 0.04725815626252609
435
+ },
436
+ "harness|hendrycksTest-conceptual_physics|5": {
437
+ "acc": 0.42127659574468085,
438
+ "acc_stderr": 0.03227834510146267,
439
+ "acc_norm": 0.42127659574468085,
440
+ "acc_norm_stderr": 0.03227834510146267
441
+ },
442
+ "harness|hendrycksTest-econometrics|5": {
443
+ "acc": 0.2982456140350877,
444
+ "acc_stderr": 0.04303684033537314,
445
+ "acc_norm": 0.2982456140350877,
446
+ "acc_norm_stderr": 0.04303684033537314
447
+ },
448
+ "harness|hendrycksTest-electrical_engineering|5": {
449
+ "acc": 0.496551724137931,
450
+ "acc_stderr": 0.041665675771015785,
451
+ "acc_norm": 0.496551724137931,
452
+ "acc_norm_stderr": 0.041665675771015785
453
+ },
454
+ "harness|hendrycksTest-elementary_mathematics|5": {
455
+ "acc": 0.3333333333333333,
456
+ "acc_stderr": 0.0242785680243077,
457
+ "acc_norm": 0.3333333333333333,
458
+ "acc_norm_stderr": 0.0242785680243077
459
+ },
460
+ "harness|hendrycksTest-formal_logic|5": {
461
+ "acc": 0.31746031746031744,
462
+ "acc_stderr": 0.04163453031302859,
463
+ "acc_norm": 0.31746031746031744,
464
+ "acc_norm_stderr": 0.04163453031302859
465
+ },
466
+ "harness|hendrycksTest-global_facts|5": {
467
+ "acc": 0.35,
468
+ "acc_stderr": 0.047937248544110196,
469
+ "acc_norm": 0.35,
470
+ "acc_norm_stderr": 0.047937248544110196
471
+ },
472
+ "harness|hendrycksTest-high_school_biology|5": {
473
+ "acc": 0.5903225806451613,
474
+ "acc_stderr": 0.027976054915347368,
475
+ "acc_norm": 0.5903225806451613,
476
+ "acc_norm_stderr": 0.027976054915347368
477
+ },
478
+ "harness|hendrycksTest-high_school_chemistry|5": {
479
+ "acc": 0.35960591133004927,
480
+ "acc_stderr": 0.033764582465095665,
481
+ "acc_norm": 0.35960591133004927,
482
+ "acc_norm_stderr": 0.033764582465095665
483
+ },
484
+ "harness|hendrycksTest-high_school_computer_science|5": {
485
+ "acc": 0.48,
486
+ "acc_stderr": 0.050211673156867795,
487
+ "acc_norm": 0.48,
488
+ "acc_norm_stderr": 0.050211673156867795
489
+ },
490
+ "harness|hendrycksTest-high_school_european_history|5": {
491
+ "acc": 0.6484848484848484,
492
+ "acc_stderr": 0.037282069986826503,
493
+ "acc_norm": 0.6484848484848484,
494
+ "acc_norm_stderr": 0.037282069986826503
495
+ },
496
+ "harness|hendrycksTest-high_school_geography|5": {
497
+ "acc": 0.6262626262626263,
498
+ "acc_stderr": 0.03446897738659333,
499
+ "acc_norm": 0.6262626262626263,
500
+ "acc_norm_stderr": 0.03446897738659333
501
+ },
502
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
503
+ "acc": 0.7202072538860104,
504
+ "acc_stderr": 0.03239637046735704,
505
+ "acc_norm": 0.7202072538860104,
506
+ "acc_norm_stderr": 0.03239637046735704
507
+ },
508
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
509
+ "acc": 0.49743589743589745,
510
+ "acc_stderr": 0.025350672979412202,
511
+ "acc_norm": 0.49743589743589745,
512
+ "acc_norm_stderr": 0.025350672979412202
513
+ },
514
+ "harness|hendrycksTest-high_school_mathematics|5": {
515
+ "acc": 0.26666666666666666,
516
+ "acc_stderr": 0.026962424325073838,
517
+ "acc_norm": 0.26666666666666666,
518
+ "acc_norm_stderr": 0.026962424325073838
519
+ },
520
+ "harness|hendrycksTest-high_school_microeconomics|5": {
521
+ "acc": 0.5210084033613446,
522
+ "acc_stderr": 0.03244980849990029,
523
+ "acc_norm": 0.5210084033613446,
524
+ "acc_norm_stderr": 0.03244980849990029
525
+ },
526
+ "harness|hendrycksTest-high_school_physics|5": {
527
+ "acc": 0.3576158940397351,
528
+ "acc_stderr": 0.03913453431177258,
529
+ "acc_norm": 0.3576158940397351,
530
+ "acc_norm_stderr": 0.03913453431177258
531
+ },
532
+ "harness|hendrycksTest-high_school_psychology|5": {
533
+ "acc": 0.7119266055045872,
534
+ "acc_stderr": 0.01941644589263603,
535
+ "acc_norm": 0.7119266055045872,
536
+ "acc_norm_stderr": 0.01941644589263603
537
+ },
538
+ "harness|hendrycksTest-high_school_statistics|5": {
539
+ "acc": 0.44907407407407407,
540
+ "acc_stderr": 0.03392238405321616,
541
+ "acc_norm": 0.44907407407407407,
542
+ "acc_norm_stderr": 0.03392238405321616
543
+ },
544
+ "harness|hendrycksTest-high_school_us_history|5": {
545
+ "acc": 0.7156862745098039,
546
+ "acc_stderr": 0.03166009679399813,
547
+ "acc_norm": 0.7156862745098039,
548
+ "acc_norm_stderr": 0.03166009679399813
549
+ },
550
+ "harness|hendrycksTest-high_school_world_history|5": {
551
+ "acc": 0.7088607594936709,
552
+ "acc_stderr": 0.02957160106575337,
553
+ "acc_norm": 0.7088607594936709,
554
+ "acc_norm_stderr": 0.02957160106575337
555
+ },
556
+ "harness|hendrycksTest-human_aging|5": {
557
+ "acc": 0.5919282511210763,
558
+ "acc_stderr": 0.03298574607842822,
559
+ "acc_norm": 0.5919282511210763,
560
+ "acc_norm_stderr": 0.03298574607842822
561
+ },
562
+ "harness|hendrycksTest-human_sexuality|5": {
563
+ "acc": 0.5801526717557252,
564
+ "acc_stderr": 0.04328577215262972,
565
+ "acc_norm": 0.5801526717557252,
566
+ "acc_norm_stderr": 0.04328577215262972
567
+ },
568
+ "harness|hendrycksTest-international_law|5": {
569
+ "acc": 0.6528925619834711,
570
+ "acc_stderr": 0.043457245702925335,
571
+ "acc_norm": 0.6528925619834711,
572
+ "acc_norm_stderr": 0.043457245702925335
573
+ },
574
+ "harness|hendrycksTest-jurisprudence|5": {
575
+ "acc": 0.5833333333333334,
576
+ "acc_stderr": 0.04766075165356461,
577
+ "acc_norm": 0.5833333333333334,
578
+ "acc_norm_stderr": 0.04766075165356461
579
+ },
580
+ "harness|hendrycksTest-logical_fallacies|5": {
581
+ "acc": 0.5705521472392638,
582
+ "acc_stderr": 0.03889066619112722,
583
+ "acc_norm": 0.5705521472392638,
584
+ "acc_norm_stderr": 0.03889066619112722
585
+ },
586
+ "harness|hendrycksTest-machine_learning|5": {
587
+ "acc": 0.2857142857142857,
588
+ "acc_stderr": 0.04287858751340456,
589
+ "acc_norm": 0.2857142857142857,
590
+ "acc_norm_stderr": 0.04287858751340456
591
+ },
592
+ "harness|hendrycksTest-management|5": {
593
+ "acc": 0.6796116504854369,
594
+ "acc_stderr": 0.04620284082280041,
595
+ "acc_norm": 0.6796116504854369,
596
+ "acc_norm_stderr": 0.04620284082280041
597
+ },
598
+ "harness|hendrycksTest-marketing|5": {
599
+ "acc": 0.7649572649572649,
600
+ "acc_stderr": 0.027778835904935434,
601
+ "acc_norm": 0.7649572649572649,
602
+ "acc_norm_stderr": 0.027778835904935434
603
+ },
604
+ "harness|hendrycksTest-medical_genetics|5": {
605
+ "acc": 0.52,
606
+ "acc_stderr": 0.050211673156867795,
607
+ "acc_norm": 0.52,
608
+ "acc_norm_stderr": 0.050211673156867795
609
+ },
610
+ "harness|hendrycksTest-miscellaneous|5": {
611
+ "acc": 0.7088122605363985,
612
+ "acc_stderr": 0.0162460870697014,
613
+ "acc_norm": 0.7088122605363985,
614
+ "acc_norm_stderr": 0.0162460870697014
615
+ },
616
+ "harness|hendrycksTest-moral_disputes|5": {
617
+ "acc": 0.5173410404624278,
618
+ "acc_stderr": 0.026902900458666647,
619
+ "acc_norm": 0.5173410404624278,
620
+ "acc_norm_stderr": 0.026902900458666647
621
+ },
622
+ "harness|hendrycksTest-moral_scenarios|5": {
623
+ "acc": 0.29720670391061454,
624
+ "acc_stderr": 0.015285313353641602,
625
+ "acc_norm": 0.29720670391061454,
626
+ "acc_norm_stderr": 0.015285313353641602
627
+ },
628
+ "harness|hendrycksTest-nutrition|5": {
629
+ "acc": 0.5555555555555556,
630
+ "acc_stderr": 0.028452639985088006,
631
+ "acc_norm": 0.5555555555555556,
632
+ "acc_norm_stderr": 0.028452639985088006
633
+ },
634
+ "harness|hendrycksTest-philosophy|5": {
635
+ "acc": 0.6045016077170418,
636
+ "acc_stderr": 0.027770918531427838,
637
+ "acc_norm": 0.6045016077170418,
638
+ "acc_norm_stderr": 0.027770918531427838
639
+ },
640
+ "harness|hendrycksTest-prehistory|5": {
641
+ "acc": 0.5709876543209876,
642
+ "acc_stderr": 0.027538925613470863,
643
+ "acc_norm": 0.5709876543209876,
644
+ "acc_norm_stderr": 0.027538925613470863
645
+ },
646
+ "harness|hendrycksTest-professional_accounting|5": {
647
+ "acc": 0.3971631205673759,
648
+ "acc_stderr": 0.0291898056735871,
649
+ "acc_norm": 0.3971631205673759,
650
+ "acc_norm_stderr": 0.0291898056735871
651
+ },
652
+ "harness|hendrycksTest-professional_law|5": {
653
+ "acc": 0.3754889178617992,
654
+ "acc_stderr": 0.012367945396728208,
655
+ "acc_norm": 0.3754889178617992,
656
+ "acc_norm_stderr": 0.012367945396728208
657
+ },
658
+ "harness|hendrycksTest-professional_medicine|5": {
659
+ "acc": 0.4852941176470588,
660
+ "acc_stderr": 0.03035969707904611,
661
+ "acc_norm": 0.4852941176470588,
662
+ "acc_norm_stderr": 0.03035969707904611
663
+ },
664
+ "harness|hendrycksTest-professional_psychology|5": {
665
+ "acc": 0.49836601307189543,
666
+ "acc_stderr": 0.020227726838150124,
667
+ "acc_norm": 0.49836601307189543,
668
+ "acc_norm_stderr": 0.020227726838150124
669
+ },
670
+ "harness|hendrycksTest-public_relations|5": {
671
+ "acc": 0.6,
672
+ "acc_stderr": 0.0469237132203465,
673
+ "acc_norm": 0.6,
674
+ "acc_norm_stderr": 0.0469237132203465
675
+ },
676
+ "harness|hendrycksTest-security_studies|5": {
677
+ "acc": 0.6081632653061224,
678
+ "acc_stderr": 0.031251275910891656,
679
+ "acc_norm": 0.6081632653061224,
680
+ "acc_norm_stderr": 0.031251275910891656
681
+ },
682
+ "harness|hendrycksTest-sociology|5": {
683
+ "acc": 0.6716417910447762,
684
+ "acc_stderr": 0.033206858897443244,
685
+ "acc_norm": 0.6716417910447762,
686
+ "acc_norm_stderr": 0.033206858897443244
687
+ },
688
+ "harness|hendrycksTest-us_foreign_policy|5": {
689
+ "acc": 0.71,
690
+ "acc_stderr": 0.045604802157206845,
691
+ "acc_norm": 0.71,
692
+ "acc_norm_stderr": 0.045604802157206845
693
+ },
694
+ "harness|hendrycksTest-virology|5": {
695
+ "acc": 0.3795180722891566,
696
+ "acc_stderr": 0.03777798822748018,
697
+ "acc_norm": 0.3795180722891566,
698
+ "acc_norm_stderr": 0.03777798822748018
699
+ },
700
+ "harness|hendrycksTest-world_religions|5": {
701
+ "acc": 0.6842105263157895,
702
+ "acc_stderr": 0.03565079670708311,
703
+ "acc_norm": 0.6842105263157895,
704
+ "acc_norm_stderr": 0.03565079670708311
705
+ },
706
+ "harness|truthfulqa:mc|0": {
707
+ "mc1": 0.32802937576499386,
708
+ "mc1_stderr": 0.01643563293281503,
709
+ "mc2": 0.48413168566081527,
710
+ "mc2_stderr": 0.015167638286466481
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]