Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_ddobokki__Llama-2-70b-orca-200k

Dataset card Files Community
thomwolf HF staff commited on
Commit
e89a123
•
1 Parent(s): 7e60d87

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 ddobokki/Llama-2-70b-orca-200k
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k)\
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_ddobokki__Llama-2-70b-orca-200k\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-08-09T20:21:28.711089\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.6675525003199225,\n \"acc_stderr\"\
18
+ : 0.0320256356518761,\n \"acc_norm\": 0.6716808545277895,\n \"acc_norm_stderr\"\
19
+ : 0.03199912887877205,\n \"mc1\": 0.408812729498164,\n \"mc1_stderr\"\
20
+ : 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n \"mc2_stderr\"\
21
+ : 0.015000194909320638\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.5989761092150171,\n \"acc_stderr\": 0.014322255790719867,\n \
23
+ \ \"acc_norm\": 0.6484641638225256,\n \"acc_norm_stderr\": 0.013952413699600935\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6584345747858992,\n\
25
+ \ \"acc_stderr\": 0.004732654295724444,\n \"acc_norm\": 0.8525194184425413,\n\
26
+ \ \"acc_norm_stderr\": 0.0035385967737048313\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
28
+ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\
30
+ \ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\
31
+ \ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.7697368421052632,\n \"acc_stderr\": 0.03426059424403165,\n\
33
+ \ \"acc_norm\": 0.7697368421052632,\n \"acc_norm_stderr\": 0.03426059424403165\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.71,\n\
35
+ \ \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\": 0.71,\n \
36
+ \ \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\
38
+ \ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\
40
+ \ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.7847222222222222,\n\
41
+ \ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.04999999999999999,\n \
43
+ \ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.04999999999999999\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
45
+ : 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\
46
+ \ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
48
+ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\
50
+ \ \"acc_stderr\": 0.037143259063020656,\n \"acc_norm\": 0.6127167630057804,\n\
51
+ \ \"acc_norm_stderr\": 0.037143259063020656\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383888,\n\
53
+ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383888\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\
56
+ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.6127659574468085,\n \"acc_stderr\": 0.03184389265339526,\n\
58
+ \ \"acc_norm\": 0.6127659574468085,\n \"acc_norm_stderr\": 0.03184389265339526\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\
60
+ \ \"acc_stderr\": 0.04657047260594962,\n \"acc_norm\": 0.4298245614035088,\n\
61
+ \ \"acc_norm_stderr\": 0.04657047260594962\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\
63
+ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778408,\n \"\
66
+ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778408\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\
68
+ \ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\
69
+ \ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \
71
+ \ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
73
+ : 0.8129032258064516,\n \"acc_stderr\": 0.02218571009225225,\n \"\
74
+ acc_norm\": 0.8129032258064516,\n \"acc_norm_stderr\": 0.02218571009225225\n\
75
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
76
+ : 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n \"\
77
+ acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\
78
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
79
+ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
80
+ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
81
+ : {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\
82
+ \ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\
83
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
84
+ : 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\
85
+ acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\
86
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
87
+ \ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.0209868545932897,\n\
88
+ \ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.0209868545932897\n\
89
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
90
+ \ \"acc\": 0.6820512820512821,\n \"acc_stderr\": 0.02361088430892786,\n \
91
+ \ \"acc_norm\": 0.6820512820512821,\n \"acc_norm_stderr\": 0.02361088430892786\n\
92
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
93
+ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.02918571494985741,\n \
94
+ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.02918571494985741\n\
95
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
96
+ \ \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.029344572500634335,\n\
97
+ \ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.029344572500634335\n\
98
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
99
+ : 0.40397350993377484,\n \"acc_stderr\": 0.04006485685365343,\n \"\
100
+ acc_norm\": 0.40397350993377484,\n \"acc_norm_stderr\": 0.04006485685365343\n\
101
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
102
+ : 0.8568807339449541,\n \"acc_stderr\": 0.015014462497168585,\n \"\
103
+ acc_norm\": 0.8568807339449541,\n \"acc_norm_stderr\": 0.015014462497168585\n\
104
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
105
+ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\
106
+ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\
107
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
108
+ : 0.8725490196078431,\n \"acc_stderr\": 0.023405530480846315,\n \"\
109
+ acc_norm\": 0.8725490196078431,\n \"acc_norm_stderr\": 0.023405530480846315\n\
110
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
111
+ acc\": 0.8523206751054853,\n \"acc_stderr\": 0.0230943295825957,\n \
112
+ \ \"acc_norm\": 0.8523206751054853,\n \"acc_norm_stderr\": 0.0230943295825957\n\
113
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7488789237668162,\n\
114
+ \ \"acc_stderr\": 0.02910522083322462,\n \"acc_norm\": 0.7488789237668162,\n\
115
+ \ \"acc_norm_stderr\": 0.02910522083322462\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
116
+ : {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159465,\n\
117
+ \ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159465\n\
118
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
119
+ \ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035206,\n \"\
120
+ acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035206\n\
121
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\
122
+ \ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\
123
+ \ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
124
+ : {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.03226219377286775,\n\
125
+ \ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.03226219377286775\n\
126
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\
127
+ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\
128
+ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
129
+ : {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\
130
+ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\
131
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9017094017094017,\n\
132
+ \ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\
133
+ \ \"acc_norm_stderr\": 0.019503444900757567\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
134
+ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \
135
+ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \
136
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.859514687100894,\n\
137
+ \ \"acc_stderr\": 0.012426211353093438,\n \"acc_norm\": 0.859514687100894,\n\
138
+ \ \"acc_norm_stderr\": 0.012426211353093438\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
139
+ : {\n \"acc\": 0.7745664739884393,\n \"acc_stderr\": 0.022497230190967558,\n\
140
+ \ \"acc_norm\": 0.7745664739884393,\n \"acc_norm_stderr\": 0.022497230190967558\n\
141
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5363128491620112,\n\
142
+ \ \"acc_stderr\": 0.016678341894533162,\n \"acc_norm\": 0.5363128491620112,\n\
143
+ \ \"acc_norm_stderr\": 0.016678341894533162\n },\n \"harness|hendrycksTest-nutrition|5\"\
144
+ : {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.026493033225145898,\n\
145
+ \ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.026493033225145898\n\
146
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7395498392282959,\n\
147
+ \ \"acc_stderr\": 0.02492672322484554,\n \"acc_norm\": 0.7395498392282959,\n\
148
+ \ \"acc_norm_stderr\": 0.02492672322484554\n },\n \"harness|hendrycksTest-prehistory|5\"\
149
+ : {\n \"acc\": 0.7685185185185185,\n \"acc_stderr\": 0.023468429832451152,\n\
150
+ \ \"acc_norm\": 0.7685185185185185,\n \"acc_norm_stderr\": 0.023468429832451152\n\
151
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
152
+ acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \
153
+ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\
154
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5084745762711864,\n\
155
+ \ \"acc_stderr\": 0.012768401697269048,\n \"acc_norm\": 0.5084745762711864,\n\
156
+ \ \"acc_norm_stderr\": 0.012768401697269048\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
157
+ : {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.02824568739146292,\n\
158
+ \ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.02824568739146292\n\
159
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
160
+ acc\": 0.7075163398692811,\n \"acc_stderr\": 0.018403415710109793,\n \
161
+ \ \"acc_norm\": 0.7075163398692811,\n \"acc_norm_stderr\": 0.018403415710109793\n\
162
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\
163
+ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\
164
+ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\
165
+ : {\n \"acc\": 0.763265306122449,\n \"acc_stderr\": 0.027212835884073153,\n\
166
+ \ \"acc_norm\": 0.763265306122449,\n \"acc_norm_stderr\": 0.027212835884073153\n\
167
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\
168
+ \ \"acc_stderr\": 0.024845753212306042,\n \"acc_norm\": 0.8557213930348259,\n\
169
+ \ \"acc_norm_stderr\": 0.024845753212306042\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
170
+ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \
171
+ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \
172
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\
173
+ \ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\
174
+ \ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness|hendrycksTest-world_religions|5\"\
175
+ : {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061445,\n\
176
+ \ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061445\n\
177
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.408812729498164,\n\
178
+ \ \"mc1_stderr\": 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n\
179
+ \ \"mc2_stderr\": 0.015000194909320638\n }\n}\n```"
180
+ repo_url: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k
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_2023-08-09T20:21:28.711089.parquet'
186
+ - config_name: harness_hellaswag_10
187
+ data_files: '**/details_harness|hellaswag|10_2023-08-09T20:21:28.711089.parquet'
188
+ - config_name: harness_hendrycksTest_abstract_algebra_5
189
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T20:21:28.711089.parquet'
190
+ - config_name: harness_hendrycksTest_anatomy_5
191
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T20:21:28.711089.parquet'
192
+ - config_name: harness_hendrycksTest_astronomy_5
193
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T20:21:28.711089.parquet'
194
+ - config_name: harness_hendrycksTest_business_ethics_5
195
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T20:21:28.711089.parquet'
196
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
197
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T20:21:28.711089.parquet'
198
+ - config_name: harness_hendrycksTest_college_biology_5
199
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T20:21:28.711089.parquet'
200
+ - config_name: harness_hendrycksTest_college_chemistry_5
201
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T20:21:28.711089.parquet'
202
+ - config_name: harness_hendrycksTest_college_computer_science_5
203
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T20:21:28.711089.parquet'
204
+ - config_name: harness_hendrycksTest_college_mathematics_5
205
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T20:21:28.711089.parquet'
206
+ - config_name: harness_hendrycksTest_college_medicine_5
207
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T20:21:28.711089.parquet'
208
+ - config_name: harness_hendrycksTest_college_physics_5
209
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T20:21:28.711089.parquet'
210
+ - config_name: harness_hendrycksTest_computer_security_5
211
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T20:21:28.711089.parquet'
212
+ - config_name: harness_hendrycksTest_conceptual_physics_5
213
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T20:21:28.711089.parquet'
214
+ - config_name: harness_hendrycksTest_econometrics_5
215
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T20:21:28.711089.parquet'
216
+ - config_name: harness_hendrycksTest_electrical_engineering_5
217
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T20:21:28.711089.parquet'
218
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
219
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T20:21:28.711089.parquet'
220
+ - config_name: harness_hendrycksTest_formal_logic_5
221
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T20:21:28.711089.parquet'
222
+ - config_name: harness_hendrycksTest_global_facts_5
223
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T20:21:28.711089.parquet'
224
+ - config_name: harness_hendrycksTest_high_school_biology_5
225
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T20:21:28.711089.parquet'
226
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
227
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T20:21:28.711089.parquet'
228
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
229
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T20:21:28.711089.parquet'
230
+ - config_name: harness_hendrycksTest_high_school_european_history_5
231
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T20:21:28.711089.parquet'
232
+ - config_name: harness_hendrycksTest_high_school_geography_5
233
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T20:21:28.711089.parquet'
234
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
235
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T20:21:28.711089.parquet'
236
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
237
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T20:21:28.711089.parquet'
238
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
239
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T20:21:28.711089.parquet'
240
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
241
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T20:21:28.711089.parquet'
242
+ - config_name: harness_hendrycksTest_high_school_physics_5
243
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T20:21:28.711089.parquet'
244
+ - config_name: harness_hendrycksTest_high_school_psychology_5
245
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T20:21:28.711089.parquet'
246
+ - config_name: harness_hendrycksTest_high_school_statistics_5
247
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T20:21:28.711089.parquet'
248
+ - config_name: harness_hendrycksTest_high_school_us_history_5
249
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T20:21:28.711089.parquet'
250
+ - config_name: harness_hendrycksTest_high_school_world_history_5
251
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T20:21:28.711089.parquet'
252
+ - config_name: harness_hendrycksTest_human_aging_5
253
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T20:21:28.711089.parquet'
254
+ - config_name: harness_hendrycksTest_human_sexuality_5
255
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T20:21:28.711089.parquet'
256
+ - config_name: harness_hendrycksTest_international_law_5
257
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-08-09T20:21:28.711089.parquet'
258
+ - config_name: harness_hendrycksTest_jurisprudence_5
259
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T20:21:28.711089.parquet'
260
+ - config_name: harness_hendrycksTest_logical_fallacies_5
261
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T20:21:28.711089.parquet'
262
+ - config_name: harness_hendrycksTest_machine_learning_5
263
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T20:21:28.711089.parquet'
264
+ - config_name: harness_hendrycksTest_management_5
265
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-08-09T20:21:28.711089.parquet'
266
+ - config_name: harness_hendrycksTest_marketing_5
267
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-08-09T20:21:28.711089.parquet'
268
+ - config_name: harness_hendrycksTest_medical_genetics_5
269
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T20:21:28.711089.parquet'
270
+ - config_name: harness_hendrycksTest_miscellaneous_5
271
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T20:21:28.711089.parquet'
272
+ - config_name: harness_hendrycksTest_moral_disputes_5
273
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T20:21:28.711089.parquet'
274
+ - config_name: harness_hendrycksTest_moral_scenarios_5
275
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T20:21:28.711089.parquet'
276
+ - config_name: harness_hendrycksTest_nutrition_5
277
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T20:21:28.711089.parquet'
278
+ - config_name: harness_hendrycksTest_philosophy_5
279
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T20:21:28.711089.parquet'
280
+ - config_name: harness_hendrycksTest_prehistory_5
281
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T20:21:28.711089.parquet'
282
+ - config_name: harness_hendrycksTest_professional_accounting_5
283
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T20:21:28.711089.parquet'
284
+ - config_name: harness_hendrycksTest_professional_law_5
285
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T20:21:28.711089.parquet'
286
+ - config_name: harness_hendrycksTest_professional_medicine_5
287
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T20:21:28.711089.parquet'
288
+ - config_name: harness_hendrycksTest_professional_psychology_5
289
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T20:21:28.711089.parquet'
290
+ - config_name: harness_hendrycksTest_public_relations_5
291
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T20:21:28.711089.parquet'
292
+ - config_name: harness_hendrycksTest_security_studies_5
293
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T20:21:28.711089.parquet'
294
+ - config_name: harness_hendrycksTest_sociology_5
295
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-08-09T20:21:28.711089.parquet'
296
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
297
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T20:21:28.711089.parquet'
298
+ - config_name: harness_hendrycksTest_virology_5
299
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-08-09T20:21:28.711089.parquet'
300
+ - config_name: harness_hendrycksTest_world_religions_5
301
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T20:21:28.711089.parquet'
302
+ - config_name: harness_truthfulqa_mc_0
303
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-08-09T20:21:28.711089.parquet'
304
+ - config_name: results
305
+ data_files: '**/results_2023-08-09T20:21:28.711089.json'
306
+ ---
307
+
308
+ # Dataset Card for Evaluation run of ddobokki/Llama-2-70b-orca-200k
309
+
310
+ ## Dataset Description
311
+
312
+ - **Homepage:**
313
+ - **Repository:** https://huggingface.co/ddobokki/Llama-2-70b-orca-200k
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 [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k) 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_ddobokki__Llama-2-70b-orca-200k",
332
+ "harness_truthfulqa_mc_0",
333
+ split="train")
334
+ ```
335
+
336
+ ## Latest results
337
+
338
+ These are the latest results from run 2023-08-09T20:21:28.711089
339
+
340
+ ```python
341
+ {
342
+ "all": {
343
+ "acc": 0.6675525003199225,
344
+ "acc_stderr": 0.0320256356518761,
345
+ "acc_norm": 0.6716808545277895,
346
+ "acc_norm_stderr": 0.03199912887877205,
347
+ "mc1": 0.408812729498164,
348
+ "mc1_stderr": 0.01720995215164173,
349
+ "mc2": 0.5618014117500216,
350
+ "mc2_stderr": 0.015000194909320638
351
+ },
352
+ "harness|arc:challenge|25": {
353
+ "acc": 0.5989761092150171,
354
+ "acc_stderr": 0.014322255790719867,
355
+ "acc_norm": 0.6484641638225256,
356
+ "acc_norm_stderr": 0.013952413699600935
357
+ },
358
+ "harness|hellaswag|10": {
359
+ "acc": 0.6584345747858992,
360
+ "acc_stderr": 0.004732654295724444,
361
+ "acc_norm": 0.8525194184425413,
362
+ "acc_norm_stderr": 0.0035385967737048313
363
+ },
364
+ "harness|hendrycksTest-abstract_algebra|5": {
365
+ "acc": 0.38,
366
+ "acc_stderr": 0.048783173121456316,
367
+ "acc_norm": 0.38,
368
+ "acc_norm_stderr": 0.048783173121456316
369
+ },
370
+ "harness|hendrycksTest-anatomy|5": {
371
+ "acc": 0.6148148148148148,
372
+ "acc_stderr": 0.042039210401562783,
373
+ "acc_norm": 0.6148148148148148,
374
+ "acc_norm_stderr": 0.042039210401562783
375
+ },
376
+ "harness|hendrycksTest-astronomy|5": {
377
+ "acc": 0.7697368421052632,
378
+ "acc_stderr": 0.03426059424403165,
379
+ "acc_norm": 0.7697368421052632,
380
+ "acc_norm_stderr": 0.03426059424403165
381
+ },
382
+ "harness|hendrycksTest-business_ethics|5": {
383
+ "acc": 0.71,
384
+ "acc_stderr": 0.04560480215720684,
385
+ "acc_norm": 0.71,
386
+ "acc_norm_stderr": 0.04560480215720684
387
+ },
388
+ "harness|hendrycksTest-clinical_knowledge|5": {
389
+ "acc": 0.6981132075471698,
390
+ "acc_stderr": 0.02825420034443866,
391
+ "acc_norm": 0.6981132075471698,
392
+ "acc_norm_stderr": 0.02825420034443866
393
+ },
394
+ "harness|hendrycksTest-college_biology|5": {
395
+ "acc": 0.7847222222222222,
396
+ "acc_stderr": 0.034370793441061344,
397
+ "acc_norm": 0.7847222222222222,
398
+ "acc_norm_stderr": 0.034370793441061344
399
+ },
400
+ "harness|hendrycksTest-college_chemistry|5": {
401
+ "acc": 0.45,
402
+ "acc_stderr": 0.04999999999999999,
403
+ "acc_norm": 0.45,
404
+ "acc_norm_stderr": 0.04999999999999999
405
+ },
406
+ "harness|hendrycksTest-college_computer_science|5": {
407
+ "acc": 0.57,
408
+ "acc_stderr": 0.04975698519562428,
409
+ "acc_norm": 0.57,
410
+ "acc_norm_stderr": 0.04975698519562428
411
+ },
412
+ "harness|hendrycksTest-college_mathematics|5": {
413
+ "acc": 0.36,
414
+ "acc_stderr": 0.04824181513244218,
415
+ "acc_norm": 0.36,
416
+ "acc_norm_stderr": 0.04824181513244218
417
+ },
418
+ "harness|hendrycksTest-college_medicine|5": {
419
+ "acc": 0.6127167630057804,
420
+ "acc_stderr": 0.037143259063020656,
421
+ "acc_norm": 0.6127167630057804,
422
+ "acc_norm_stderr": 0.037143259063020656
423
+ },
424
+ "harness|hendrycksTest-college_physics|5": {
425
+ "acc": 0.3431372549019608,
426
+ "acc_stderr": 0.04724007352383888,
427
+ "acc_norm": 0.3431372549019608,
428
+ "acc_norm_stderr": 0.04724007352383888
429
+ },
430
+ "harness|hendrycksTest-computer_security|5": {
431
+ "acc": 0.74,
432
+ "acc_stderr": 0.04408440022768078,
433
+ "acc_norm": 0.74,
434
+ "acc_norm_stderr": 0.04408440022768078
435
+ },
436
+ "harness|hendrycksTest-conceptual_physics|5": {
437
+ "acc": 0.6127659574468085,
438
+ "acc_stderr": 0.03184389265339526,
439
+ "acc_norm": 0.6127659574468085,
440
+ "acc_norm_stderr": 0.03184389265339526
441
+ },
442
+ "harness|hendrycksTest-econometrics|5": {
443
+ "acc": 0.4298245614035088,
444
+ "acc_stderr": 0.04657047260594962,
445
+ "acc_norm": 0.4298245614035088,
446
+ "acc_norm_stderr": 0.04657047260594962
447
+ },
448
+ "harness|hendrycksTest-electrical_engineering|5": {
449
+ "acc": 0.593103448275862,
450
+ "acc_stderr": 0.04093793981266236,
451
+ "acc_norm": 0.593103448275862,
452
+ "acc_norm_stderr": 0.04093793981266236
453
+ },
454
+ "harness|hendrycksTest-elementary_mathematics|5": {
455
+ "acc": 0.41534391534391535,
456
+ "acc_stderr": 0.025379524910778408,
457
+ "acc_norm": 0.41534391534391535,
458
+ "acc_norm_stderr": 0.025379524910778408
459
+ },
460
+ "harness|hendrycksTest-formal_logic|5": {
461
+ "acc": 0.4365079365079365,
462
+ "acc_stderr": 0.04435932892851466,
463
+ "acc_norm": 0.4365079365079365,
464
+ "acc_norm_stderr": 0.04435932892851466
465
+ },
466
+ "harness|hendrycksTest-global_facts|5": {
467
+ "acc": 0.43,
468
+ "acc_stderr": 0.049756985195624284,
469
+ "acc_norm": 0.43,
470
+ "acc_norm_stderr": 0.049756985195624284
471
+ },
472
+ "harness|hendrycksTest-high_school_biology|5": {
473
+ "acc": 0.8129032258064516,
474
+ "acc_stderr": 0.02218571009225225,
475
+ "acc_norm": 0.8129032258064516,
476
+ "acc_norm_stderr": 0.02218571009225225
477
+ },
478
+ "harness|hendrycksTest-high_school_chemistry|5": {
479
+ "acc": 0.5123152709359606,
480
+ "acc_stderr": 0.035169204442208966,
481
+ "acc_norm": 0.5123152709359606,
482
+ "acc_norm_stderr": 0.035169204442208966
483
+ },
484
+ "harness|hendrycksTest-high_school_computer_science|5": {
485
+ "acc": 0.72,
486
+ "acc_stderr": 0.04512608598542127,
487
+ "acc_norm": 0.72,
488
+ "acc_norm_stderr": 0.04512608598542127
489
+ },
490
+ "harness|hendrycksTest-high_school_european_history|5": {
491
+ "acc": 0.8121212121212121,
492
+ "acc_stderr": 0.03050193405942914,
493
+ "acc_norm": 0.8121212121212121,
494
+ "acc_norm_stderr": 0.03050193405942914
495
+ },
496
+ "harness|hendrycksTest-high_school_geography|5": {
497
+ "acc": 0.8636363636363636,
498
+ "acc_stderr": 0.024450155973189835,
499
+ "acc_norm": 0.8636363636363636,
500
+ "acc_norm_stderr": 0.024450155973189835
501
+ },
502
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
503
+ "acc": 0.9067357512953368,
504
+ "acc_stderr": 0.0209868545932897,
505
+ "acc_norm": 0.9067357512953368,
506
+ "acc_norm_stderr": 0.0209868545932897
507
+ },
508
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
509
+ "acc": 0.6820512820512821,
510
+ "acc_stderr": 0.02361088430892786,
511
+ "acc_norm": 0.6820512820512821,
512
+ "acc_norm_stderr": 0.02361088430892786
513
+ },
514
+ "harness|hendrycksTest-high_school_mathematics|5": {
515
+ "acc": 0.35555555555555557,
516
+ "acc_stderr": 0.02918571494985741,
517
+ "acc_norm": 0.35555555555555557,
518
+ "acc_norm_stderr": 0.02918571494985741
519
+ },
520
+ "harness|hendrycksTest-high_school_microeconomics|5": {
521
+ "acc": 0.7142857142857143,
522
+ "acc_stderr": 0.029344572500634335,
523
+ "acc_norm": 0.7142857142857143,
524
+ "acc_norm_stderr": 0.029344572500634335
525
+ },
526
+ "harness|hendrycksTest-high_school_physics|5": {
527
+ "acc": 0.40397350993377484,
528
+ "acc_stderr": 0.04006485685365343,
529
+ "acc_norm": 0.40397350993377484,
530
+ "acc_norm_stderr": 0.04006485685365343
531
+ },
532
+ "harness|hendrycksTest-high_school_psychology|5": {
533
+ "acc": 0.8568807339449541,
534
+ "acc_stderr": 0.015014462497168585,
535
+ "acc_norm": 0.8568807339449541,
536
+ "acc_norm_stderr": 0.015014462497168585
537
+ },
538
+ "harness|hendrycksTest-high_school_statistics|5": {
539
+ "acc": 0.5416666666666666,
540
+ "acc_stderr": 0.03398110890294636,
541
+ "acc_norm": 0.5416666666666666,
542
+ "acc_norm_stderr": 0.03398110890294636
543
+ },
544
+ "harness|hendrycksTest-high_school_us_history|5": {
545
+ "acc": 0.8725490196078431,
546
+ "acc_stderr": 0.023405530480846315,
547
+ "acc_norm": 0.8725490196078431,
548
+ "acc_norm_stderr": 0.023405530480846315
549
+ },
550
+ "harness|hendrycksTest-high_school_world_history|5": {
551
+ "acc": 0.8523206751054853,
552
+ "acc_stderr": 0.0230943295825957,
553
+ "acc_norm": 0.8523206751054853,
554
+ "acc_norm_stderr": 0.0230943295825957
555
+ },
556
+ "harness|hendrycksTest-human_aging|5": {
557
+ "acc": 0.7488789237668162,
558
+ "acc_stderr": 0.02910522083322462,
559
+ "acc_norm": 0.7488789237668162,
560
+ "acc_norm_stderr": 0.02910522083322462
561
+ },
562
+ "harness|hendrycksTest-human_sexuality|5": {
563
+ "acc": 0.7938931297709924,
564
+ "acc_stderr": 0.03547771004159465,
565
+ "acc_norm": 0.7938931297709924,
566
+ "acc_norm_stderr": 0.03547771004159465
567
+ },
568
+ "harness|hendrycksTest-international_law|5": {
569
+ "acc": 0.8760330578512396,
570
+ "acc_stderr": 0.030083098716035206,
571
+ "acc_norm": 0.8760330578512396,
572
+ "acc_norm_stderr": 0.030083098716035206
573
+ },
574
+ "harness|hendrycksTest-jurisprudence|5": {
575
+ "acc": 0.8333333333333334,
576
+ "acc_stderr": 0.036028141763926456,
577
+ "acc_norm": 0.8333333333333334,
578
+ "acc_norm_stderr": 0.036028141763926456
579
+ },
580
+ "harness|hendrycksTest-logical_fallacies|5": {
581
+ "acc": 0.7852760736196319,
582
+ "acc_stderr": 0.03226219377286775,
583
+ "acc_norm": 0.7852760736196319,
584
+ "acc_norm_stderr": 0.03226219377286775
585
+ },
586
+ "harness|hendrycksTest-machine_learning|5": {
587
+ "acc": 0.4732142857142857,
588
+ "acc_stderr": 0.047389751192741546,
589
+ "acc_norm": 0.4732142857142857,
590
+ "acc_norm_stderr": 0.047389751192741546
591
+ },
592
+ "harness|hendrycksTest-management|5": {
593
+ "acc": 0.8155339805825242,
594
+ "acc_stderr": 0.03840423627288276,
595
+ "acc_norm": 0.8155339805825242,
596
+ "acc_norm_stderr": 0.03840423627288276
597
+ },
598
+ "harness|hendrycksTest-marketing|5": {
599
+ "acc": 0.9017094017094017,
600
+ "acc_stderr": 0.019503444900757567,
601
+ "acc_norm": 0.9017094017094017,
602
+ "acc_norm_stderr": 0.019503444900757567
603
+ },
604
+ "harness|hendrycksTest-medical_genetics|5": {
605
+ "acc": 0.72,
606
+ "acc_stderr": 0.04512608598542128,
607
+ "acc_norm": 0.72,
608
+ "acc_norm_stderr": 0.04512608598542128
609
+ },
610
+ "harness|hendrycksTest-miscellaneous|5": {
611
+ "acc": 0.859514687100894,
612
+ "acc_stderr": 0.012426211353093438,
613
+ "acc_norm": 0.859514687100894,
614
+ "acc_norm_stderr": 0.012426211353093438
615
+ },
616
+ "harness|hendrycksTest-moral_disputes|5": {
617
+ "acc": 0.7745664739884393,
618
+ "acc_stderr": 0.022497230190967558,
619
+ "acc_norm": 0.7745664739884393,
620
+ "acc_norm_stderr": 0.022497230190967558
621
+ },
622
+ "harness|hendrycksTest-moral_scenarios|5": {
623
+ "acc": 0.5363128491620112,
624
+ "acc_stderr": 0.016678341894533162,
625
+ "acc_norm": 0.5363128491620112,
626
+ "acc_norm_stderr": 0.016678341894533162
627
+ },
628
+ "harness|hendrycksTest-nutrition|5": {
629
+ "acc": 0.6895424836601307,
630
+ "acc_stderr": 0.026493033225145898,
631
+ "acc_norm": 0.6895424836601307,
632
+ "acc_norm_stderr": 0.026493033225145898
633
+ },
634
+ "harness|hendrycksTest-philosophy|5": {
635
+ "acc": 0.7395498392282959,
636
+ "acc_stderr": 0.02492672322484554,
637
+ "acc_norm": 0.7395498392282959,
638
+ "acc_norm_stderr": 0.02492672322484554
639
+ },
640
+ "harness|hendrycksTest-prehistory|5": {
641
+ "acc": 0.7685185185185185,
642
+ "acc_stderr": 0.023468429832451152,
643
+ "acc_norm": 0.7685185185185185,
644
+ "acc_norm_stderr": 0.023468429832451152
645
+ },
646
+ "harness|hendrycksTest-professional_accounting|5": {
647
+ "acc": 0.48936170212765956,
648
+ "acc_stderr": 0.029820747191422473,
649
+ "acc_norm": 0.48936170212765956,
650
+ "acc_norm_stderr": 0.029820747191422473
651
+ },
652
+ "harness|hendrycksTest-professional_law|5": {
653
+ "acc": 0.5084745762711864,
654
+ "acc_stderr": 0.012768401697269048,
655
+ "acc_norm": 0.5084745762711864,
656
+ "acc_norm_stderr": 0.012768401697269048
657
+ },
658
+ "harness|hendrycksTest-professional_medicine|5": {
659
+ "acc": 0.6838235294117647,
660
+ "acc_stderr": 0.02824568739146292,
661
+ "acc_norm": 0.6838235294117647,
662
+ "acc_norm_stderr": 0.02824568739146292
663
+ },
664
+ "harness|hendrycksTest-professional_psychology|5": {
665
+ "acc": 0.7075163398692811,
666
+ "acc_stderr": 0.018403415710109793,
667
+ "acc_norm": 0.7075163398692811,
668
+ "acc_norm_stderr": 0.018403415710109793
669
+ },
670
+ "harness|hendrycksTest-public_relations|5": {
671
+ "acc": 0.7363636363636363,
672
+ "acc_stderr": 0.04220224692971987,
673
+ "acc_norm": 0.7363636363636363,
674
+ "acc_norm_stderr": 0.04220224692971987
675
+ },
676
+ "harness|hendrycksTest-security_studies|5": {
677
+ "acc": 0.763265306122449,
678
+ "acc_stderr": 0.027212835884073153,
679
+ "acc_norm": 0.763265306122449,
680
+ "acc_norm_stderr": 0.027212835884073153
681
+ },
682
+ "harness|hendrycksTest-sociology|5": {
683
+ "acc": 0.8557213930348259,
684
+ "acc_stderr": 0.024845753212306042,
685
+ "acc_norm": 0.8557213930348259,
686
+ "acc_norm_stderr": 0.024845753212306042
687
+ },
688
+ "harness|hendrycksTest-us_foreign_policy|5": {
689
+ "acc": 0.85,
690
+ "acc_stderr": 0.035887028128263686,
691
+ "acc_norm": 0.85,
692
+ "acc_norm_stderr": 0.035887028128263686
693
+ },
694
+ "harness|hendrycksTest-virology|5": {
695
+ "acc": 0.5120481927710844,
696
+ "acc_stderr": 0.03891364495835817,
697
+ "acc_norm": 0.5120481927710844,
698
+ "acc_norm_stderr": 0.03891364495835817
699
+ },
700
+ "harness|hendrycksTest-world_religions|5": {
701
+ "acc": 0.847953216374269,
702
+ "acc_stderr": 0.027539122889061445,
703
+ "acc_norm": 0.847953216374269,
704
+ "acc_norm_stderr": 0.027539122889061445
705
+ },
706
+ "harness|truthfulqa:mc|0": {
707
+ "mc1": 0.408812729498164,
708
+ "mc1_stderr": 0.01720995215164173,
709
+ "mc2": 0.5618014117500216,
710
+ "mc2_stderr": 0.015000194909320638
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]