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1 |
+
---
|
2 |
+
pretty_name: Evaluation run of gywy/llama2-13b-chinese-v1
|
3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
4 |
+
\ [gywy/llama2-13b-chinese-v1](https://huggingface.co/gywy/llama2-13b-chinese-v1)\
|
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_gywy__llama2-13b-chinese-v1\"\
|
15 |
+
,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
|
16 |
+
\nThese are the latest results from run 2023-07-26T15:10:00.921624\n\n```python\n\
|
17 |
+
{\n \"all\": {\n \"acc\": 0.5420814148370803,\n \"acc_stderr\"\
|
18 |
+
: 0.03472894201222865,\n \"acc_norm\": 0.5463875639849175,\n \"acc_norm_stderr\"\
|
19 |
+
: 0.03471430598894899,\n \"mc1\": 0.3182374541003672,\n \"mc1_stderr\"\
|
20 |
+
: 0.016305988648920612,\n \"mc2\": 0.45724154700953135,\n \"mc2_stderr\"\
|
21 |
+
: 0.015310459215672905\n },\n \"harness|arc:challenge|25\": {\n \"\
|
22 |
+
acc\": 0.5631399317406144,\n \"acc_stderr\": 0.014494421584256513,\n \
|
23 |
+
\ \"acc_norm\": 0.5981228668941979,\n \"acc_norm_stderr\": 0.014327268614578278\n\
|
24 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5381398127862975,\n\
|
25 |
+
\ \"acc_stderr\": 0.004975243508751998,\n \"acc_norm\": 0.7572196773551085,\n\
|
26 |
+
\ \"acc_norm_stderr\": 0.004278871104930374\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
27 |
+
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \
|
28 |
+
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\
|
29 |
+
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5037037037037037,\n\
|
30 |
+
\ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.5037037037037037,\n\
|
31 |
+
\ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
32 |
+
: {\n \"acc\": 0.5657894736842105,\n \"acc_stderr\": 0.04033565667848319,\n\
|
33 |
+
\ \"acc_norm\": 0.5657894736842105,\n \"acc_norm_stderr\": 0.04033565667848319\n\
|
34 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.5,\n\
|
35 |
+
\ \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\": 0.5,\n \
|
36 |
+
\ \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
37 |
+
: {\n \"acc\": 0.5924528301886792,\n \"acc_stderr\": 0.030242233800854494,\n\
|
38 |
+
\ \"acc_norm\": 0.5924528301886792,\n \"acc_norm_stderr\": 0.030242233800854494\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\": 0.04902071300001974,\n \
|
43 |
+
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
|
44 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
45 |
+
: 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.41,\n\
|
46 |
+
\ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
47 |
+
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
|
48 |
+
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
|
49 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5086705202312138,\n\
|
50 |
+
\ \"acc_stderr\": 0.03811890988940412,\n \"acc_norm\": 0.5086705202312138,\n\
|
51 |
+
\ \"acc_norm_stderr\": 0.03811890988940412\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
52 |
+
: {\n \"acc\": 0.3137254901960784,\n \"acc_stderr\": 0.04617034827006717,\n\
|
53 |
+
\ \"acc_norm\": 0.3137254901960784,\n \"acc_norm_stderr\": 0.04617034827006717\n\
|
54 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
55 |
+
\ 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\": 0.68,\n\
|
56 |
+
\ \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
57 |
+
: {\n \"acc\": 0.42127659574468085,\n \"acc_stderr\": 0.03227834510146268,\n\
|
58 |
+
\ \"acc_norm\": 0.42127659574468085,\n \"acc_norm_stderr\": 0.03227834510146268\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\": 0.503448275862069,\n \"acc_stderr\": 0.04166567577101579,\n\
|
63 |
+
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.04166567577101579\n\
|
64 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
65 |
+
: 0.3201058201058201,\n \"acc_stderr\": 0.024026846392873506,\n \"\
|
66 |
+
acc_norm\": 0.3201058201058201,\n \"acc_norm_stderr\": 0.024026846392873506\n\
|
67 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\
|
68 |
+
\ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\
|
69 |
+
\ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
70 |
+
: {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
|
71 |
+
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
|
72 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6612903225806451,\n\
|
73 |
+
\ \"acc_stderr\": 0.026923446059302837,\n \"acc_norm\": 0.6612903225806451,\n\
|
74 |
+
\ \"acc_norm_stderr\": 0.026923446059302837\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
75 |
+
: {\n \"acc\": 0.43349753694581283,\n \"acc_stderr\": 0.034867317274198714,\n\
|
76 |
+
\ \"acc_norm\": 0.43349753694581283,\n \"acc_norm_stderr\": 0.034867317274198714\n\
|
77 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
78 |
+
\ \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
|
79 |
+
: 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
80 |
+
: {\n \"acc\": 0.6727272727272727,\n \"acc_stderr\": 0.036639749943912434,\n\
|
81 |
+
\ \"acc_norm\": 0.6727272727272727,\n \"acc_norm_stderr\": 0.036639749943912434\n\
|
82 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
83 |
+
: 0.6868686868686869,\n \"acc_stderr\": 0.033042050878136525,\n \"\
|
84 |
+
acc_norm\": 0.6868686868686869,\n \"acc_norm_stderr\": 0.033042050878136525\n\
|
85 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
86 |
+
\ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\
|
87 |
+
\ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\
|
88 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
89 |
+
\ \"acc\": 0.4846153846153846,\n \"acc_stderr\": 0.025339003010106515,\n\
|
90 |
+
\ \"acc_norm\": 0.4846153846153846,\n \"acc_norm_stderr\": 0.025339003010106515\n\
|
91 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
92 |
+
acc\": 0.3037037037037037,\n \"acc_stderr\": 0.02803792996911499,\n \
|
93 |
+
\ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.02803792996911499\n\
|
94 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
95 |
+
\ \"acc\": 0.6008403361344538,\n \"acc_stderr\": 0.03181110032413926,\n \
|
96 |
+
\ \"acc_norm\": 0.6008403361344538,\n \"acc_norm_stderr\": 0.03181110032413926\n\
|
97 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
98 |
+
: 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\
|
99 |
+
acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\
|
100 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
101 |
+
: 0.7009174311926606,\n \"acc_stderr\": 0.019630417285415175,\n \"\
|
102 |
+
acc_norm\": 0.7009174311926606,\n \"acc_norm_stderr\": 0.019630417285415175\n\
|
103 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
104 |
+
: 0.4027777777777778,\n \"acc_stderr\": 0.03344887382997867,\n \"\
|
105 |
+
acc_norm\": 0.4027777777777778,\n \"acc_norm_stderr\": 0.03344887382997867\n\
|
106 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
107 |
+
: 0.7401960784313726,\n \"acc_stderr\": 0.03077855467869326,\n \"\
|
108 |
+
acc_norm\": 0.7401960784313726,\n \"acc_norm_stderr\": 0.03077855467869326\n\
|
109 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
110 |
+
acc\": 0.7426160337552743,\n \"acc_stderr\": 0.028458820991460302,\n \
|
111 |
+
\ \"acc_norm\": 0.7426160337552743,\n \"acc_norm_stderr\": 0.028458820991460302\n\
|
112 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6636771300448431,\n\
|
113 |
+
\ \"acc_stderr\": 0.031708824268455,\n \"acc_norm\": 0.6636771300448431,\n\
|
114 |
+
\ \"acc_norm_stderr\": 0.031708824268455\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
115 |
+
: {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.042258754519696365,\n\
|
116 |
+
\ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.042258754519696365\n\
|
117 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
118 |
+
\ 0.71900826446281,\n \"acc_stderr\": 0.04103203830514512,\n \"acc_norm\"\
|
119 |
+
: 0.71900826446281,\n \"acc_norm_stderr\": 0.04103203830514512\n },\n\
|
120 |
+
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\
|
121 |
+
\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\
|
122 |
+
\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
123 |
+
: {\n \"acc\": 0.6134969325153374,\n \"acc_stderr\": 0.03825825548848608,\n\
|
124 |
+
\ \"acc_norm\": 0.6134969325153374,\n \"acc_norm_stderr\": 0.03825825548848608\n\
|
125 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.30357142857142855,\n\
|
126 |
+
\ \"acc_stderr\": 0.04364226155841044,\n \"acc_norm\": 0.30357142857142855,\n\
|
127 |
+
\ \"acc_norm_stderr\": 0.04364226155841044\n },\n \"harness|hendrycksTest-management|5\"\
|
128 |
+
: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729245,\n\
|
129 |
+
\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729245\n\
|
130 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7564102564102564,\n\
|
131 |
+
\ \"acc_stderr\": 0.02812096650391442,\n \"acc_norm\": 0.7564102564102564,\n\
|
132 |
+
\ \"acc_norm_stderr\": 0.02812096650391442\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
133 |
+
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
|
134 |
+
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
|
135 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7254150702426565,\n\
|
136 |
+
\ \"acc_stderr\": 0.015959829933084025,\n \"acc_norm\": 0.7254150702426565,\n\
|
137 |
+
\ \"acc_norm_stderr\": 0.015959829933084025\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
138 |
+
: {\n \"acc\": 0.6098265895953757,\n \"acc_stderr\": 0.026261677607806636,\n\
|
139 |
+
\ \"acc_norm\": 0.6098265895953757,\n \"acc_norm_stderr\": 0.026261677607806636\n\
|
140 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.37094972067039106,\n\
|
141 |
+
\ \"acc_stderr\": 0.016155910721341774,\n \"acc_norm\": 0.37094972067039106,\n\
|
142 |
+
\ \"acc_norm_stderr\": 0.016155910721341774\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
143 |
+
: {\n \"acc\": 0.5784313725490197,\n \"acc_stderr\": 0.028275490156791455,\n\
|
144 |
+
\ \"acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.028275490156791455\n\
|
145 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6237942122186495,\n\
|
146 |
+
\ \"acc_stderr\": 0.02751392568354943,\n \"acc_norm\": 0.6237942122186495,\n\
|
147 |
+
\ \"acc_norm_stderr\": 0.02751392568354943\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
148 |
+
: {\n \"acc\": 0.5740740740740741,\n \"acc_stderr\": 0.02751374728437942,\n\
|
149 |
+
\ \"acc_norm\": 0.5740740740740741,\n \"acc_norm_stderr\": 0.02751374728437942\n\
|
150 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
151 |
+
acc\": 0.4432624113475177,\n \"acc_stderr\": 0.029634838473766,\n \
|
152 |
+
\ \"acc_norm\": 0.4432624113475177,\n \"acc_norm_stderr\": 0.029634838473766\n\
|
153 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3970013037809648,\n\
|
154 |
+
\ \"acc_stderr\": 0.012496346982909553,\n \"acc_norm\": 0.3970013037809648,\n\
|
155 |
+
\ \"acc_norm_stderr\": 0.012496346982909553\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
156 |
+
: {\n \"acc\": 0.5073529411764706,\n \"acc_stderr\": 0.030369552523902173,\n\
|
157 |
+
\ \"acc_norm\": 0.5073529411764706,\n \"acc_norm_stderr\": 0.030369552523902173\n\
|
158 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
159 |
+
acc\": 0.5375816993464052,\n \"acc_stderr\": 0.02017061497496976,\n \
|
160 |
+
\ \"acc_norm\": 0.5375816993464052,\n \"acc_norm_stderr\": 0.02017061497496976\n\
|
161 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
|
162 |
+
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
|
163 |
+
\ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
164 |
+
: {\n \"acc\": 0.6122448979591837,\n \"acc_stderr\": 0.031192230726795656,\n\
|
165 |
+
\ \"acc_norm\": 0.6122448979591837,\n \"acc_norm_stderr\": 0.031192230726795656\n\
|
166 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7263681592039801,\n\
|
167 |
+
\ \"acc_stderr\": 0.031524391865554016,\n \"acc_norm\": 0.7263681592039801,\n\
|
168 |
+
\ \"acc_norm_stderr\": 0.031524391865554016\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
169 |
+
: {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \
|
170 |
+
\ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816506\n \
|
171 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\
|
172 |
+
\ \"acc_stderr\": 0.038879718495972646,\n \"acc_norm\": 0.4759036144578313,\n\
|
173 |
+
\ \"acc_norm_stderr\": 0.038879718495972646\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
174 |
+
: {\n \"acc\": 0.7602339181286549,\n \"acc_stderr\": 0.03274485211946956,\n\
|
175 |
+
\ \"acc_norm\": 0.7602339181286549,\n \"acc_norm_stderr\": 0.03274485211946956\n\
|
176 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3182374541003672,\n\
|
177 |
+
\ \"mc1_stderr\": 0.016305988648920612,\n \"mc2\": 0.45724154700953135,\n\
|
178 |
+
\ \"mc2_stderr\": 0.015310459215672905\n }\n}\n```"
|
179 |
+
repo_url: https://huggingface.co/gywy/llama2-13b-chinese-v1
|
180 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
181 |
+
point_of_contact: clementine@hf.co
|
182 |
+
configs:
|
183 |
+
- config_name: harness_arc_challenge_25
|
184 |
+
data_files: '**/details_harness|arc:challenge|25_2023-07-26T15:10:00.921624.parquet'
|
185 |
+
- config_name: harness_hellaswag_10
|
186 |
+
data_files: '**/details_harness|hellaswag|10_2023-07-26T15:10:00.921624.parquet'
|
187 |
+
- config_name: harness_hendrycksTest_abstract_algebra_5
|
188 |
+
data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-26T15:10:00.921624.parquet'
|
189 |
+
- config_name: harness_hendrycksTest_anatomy_5
|
190 |
+
data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-07-26T15:10:00.921624.parquet'
|
191 |
+
- config_name: harness_hendrycksTest_astronomy_5
|
192 |
+
data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-07-26T15:10:00.921624.parquet'
|
193 |
+
- config_name: harness_hendrycksTest_business_ethics_5
|
194 |
+
data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-07-26T15:10:00.921624.parquet'
|
195 |
+
- config_name: harness_hendrycksTest_clinical_knowledge_5
|
196 |
+
data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-26T15:10:00.921624.parquet'
|
197 |
+
- config_name: harness_hendrycksTest_college_biology_5
|
198 |
+
data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-07-26T15:10:00.921624.parquet'
|
199 |
+
- config_name: harness_hendrycksTest_college_chemistry_5
|
200 |
+
data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-26T15:10:00.921624.parquet'
|
201 |
+
- config_name: harness_hendrycksTest_college_computer_science_5
|
202 |
+
data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-26T15:10:00.921624.parquet'
|
203 |
+
- config_name: harness_hendrycksTest_college_mathematics_5
|
204 |
+
data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-26T15:10:00.921624.parquet'
|
205 |
+
- config_name: harness_hendrycksTest_college_medicine_5
|
206 |
+
data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-07-26T15:10:00.921624.parquet'
|
207 |
+
- config_name: harness_hendrycksTest_college_physics_5
|
208 |
+
data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-07-26T15:10:00.921624.parquet'
|
209 |
+
- config_name: harness_hendrycksTest_computer_security_5
|
210 |
+
data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-07-26T15:10:00.921624.parquet'
|
211 |
+
- config_name: harness_hendrycksTest_conceptual_physics_5
|
212 |
+
data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-26T15:10:00.921624.parquet'
|
213 |
+
- config_name: harness_hendrycksTest_econometrics_5
|
214 |
+
data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-07-26T15:10:00.921624.parquet'
|
215 |
+
- config_name: harness_hendrycksTest_electrical_engineering_5
|
216 |
+
data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-26T15:10:00.921624.parquet'
|
217 |
+
- config_name: harness_hendrycksTest_elementary_mathematics_5
|
218 |
+
data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-26T15:10:00.921624.parquet'
|
219 |
+
- config_name: harness_hendrycksTest_formal_logic_5
|
220 |
+
data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-07-26T15:10:00.921624.parquet'
|
221 |
+
- config_name: harness_hendrycksTest_global_facts_5
|
222 |
+
data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-07-26T15:10:00.921624.parquet'
|
223 |
+
- config_name: harness_hendrycksTest_high_school_biology_5
|
224 |
+
data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-26T15:10:00.921624.parquet'
|
225 |
+
- config_name: harness_hendrycksTest_high_school_chemistry_5
|
226 |
+
data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-26T15:10:00.921624.parquet'
|
227 |
+
- config_name: harness_hendrycksTest_high_school_computer_science_5
|
228 |
+
data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-26T15:10:00.921624.parquet'
|
229 |
+
- config_name: harness_hendrycksTest_high_school_european_history_5
|
230 |
+
data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-26T15:10:00.921624.parquet'
|
231 |
+
- config_name: harness_hendrycksTest_high_school_geography_5
|
232 |
+
data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-26T15:10:00.921624.parquet'
|
233 |
+
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
|
234 |
+
data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-26T15:10:00.921624.parquet'
|
235 |
+
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
|
236 |
+
data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-26T15:10:00.921624.parquet'
|
237 |
+
- config_name: harness_hendrycksTest_high_school_mathematics_5
|
238 |
+
data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-26T15:10:00.921624.parquet'
|
239 |
+
- config_name: harness_hendrycksTest_high_school_microeconomics_5
|
240 |
+
data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-26T15:10:00.921624.parquet'
|
241 |
+
- config_name: harness_hendrycksTest_high_school_physics_5
|
242 |
+
data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-26T15:10:00.921624.parquet'
|
243 |
+
- config_name: harness_hendrycksTest_high_school_psychology_5
|
244 |
+
data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-26T15:10:00.921624.parquet'
|
245 |
+
- config_name: harness_hendrycksTest_high_school_statistics_5
|
246 |
+
data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-26T15:10:00.921624.parquet'
|
247 |
+
- config_name: harness_hendrycksTest_high_school_us_history_5
|
248 |
+
data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-26T15:10:00.921624.parquet'
|
249 |
+
- config_name: harness_hendrycksTest_high_school_world_history_5
|
250 |
+
data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-26T15:10:00.921624.parquet'
|
251 |
+
- config_name: harness_hendrycksTest_human_aging_5
|
252 |
+
data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-07-26T15:10:00.921624.parquet'
|
253 |
+
- config_name: harness_hendrycksTest_human_sexuality_5
|
254 |
+
data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-26T15:10:00.921624.parquet'
|
255 |
+
- config_name: harness_hendrycksTest_international_law_5
|
256 |
+
data_files: '**/details_harness|hendrycksTest-international_law|5_2023-07-26T15:10:00.921624.parquet'
|
257 |
+
- config_name: harness_hendrycksTest_jurisprudence_5
|
258 |
+
data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-26T15:10:00.921624.parquet'
|
259 |
+
- config_name: harness_hendrycksTest_logical_fallacies_5
|
260 |
+
data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-26T15:10:00.921624.parquet'
|
261 |
+
- config_name: harness_hendrycksTest_machine_learning_5
|
262 |
+
data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-07-26T15:10:00.921624.parquet'
|
263 |
+
- config_name: harness_hendrycksTest_management_5
|
264 |
+
data_files: '**/details_harness|hendrycksTest-management|5_2023-07-26T15:10:00.921624.parquet'
|
265 |
+
- config_name: harness_hendrycksTest_marketing_5
|
266 |
+
data_files: '**/details_harness|hendrycksTest-marketing|5_2023-07-26T15:10:00.921624.parquet'
|
267 |
+
- config_name: harness_hendrycksTest_medical_genetics_5
|
268 |
+
data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-26T15:10:00.921624.parquet'
|
269 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
270 |
+
data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-26T15:10:00.921624.parquet'
|
271 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
272 |
+
data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-26T15:10:00.921624.parquet'
|
273 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
274 |
+
data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-26T15:10:00.921624.parquet'
|
275 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
276 |
+
data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-07-26T15:10:00.921624.parquet'
|
277 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
278 |
+
data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-07-26T15:10:00.921624.parquet'
|
279 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
280 |
+
data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-07-26T15:10:00.921624.parquet'
|
281 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
282 |
+
data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-26T15:10:00.921624.parquet'
|
283 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
284 |
+
data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-07-26T15:10:00.921624.parquet'
|
285 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
286 |
+
data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-26T15:10:00.921624.parquet'
|
287 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
288 |
+
data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-26T15:10:00.921624.parquet'
|
289 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
290 |
+
data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-07-26T15:10:00.921624.parquet'
|
291 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
292 |
+
data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-07-26T15:10:00.921624.parquet'
|
293 |
+
- config_name: harness_hendrycksTest_sociology_5
|
294 |
+
data_files: '**/details_harness|hendrycksTest-sociology|5_2023-07-26T15:10:00.921624.parquet'
|
295 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
296 |
+
data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-26T15:10:00.921624.parquet'
|
297 |
+
- config_name: harness_hendrycksTest_virology_5
|
298 |
+
data_files: '**/details_harness|hendrycksTest-virology|5_2023-07-26T15:10:00.921624.parquet'
|
299 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
300 |
+
data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-07-26T15:10:00.921624.parquet'
|
301 |
+
- config_name: harness_truthfulqa_mc_0
|
302 |
+
data_files: '**/details_harness|truthfulqa:mc|0_2023-07-26T15:10:00.921624.parquet'
|
303 |
+
- config_name: results
|
304 |
+
data_files: '**/results_2023-07-26T15:10:00.921624.json'
|
305 |
+
---
|
306 |
+
|
307 |
+
# Dataset Card for Evaluation run of gywy/llama2-13b-chinese-v1
|
308 |
+
|
309 |
+
## Dataset Description
|
310 |
+
|
311 |
+
- **Homepage:**
|
312 |
+
- **Repository:** https://huggingface.co/gywy/llama2-13b-chinese-v1
|
313 |
+
- **Paper:**
|
314 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
315 |
+
- **Point of Contact:** clementine@hf.co
|
316 |
+
|
317 |
+
### Dataset Summary
|
318 |
+
|
319 |
+
Dataset automatically created during the evaluation run of model [gywy/llama2-13b-chinese-v1](https://huggingface.co/gywy/llama2-13b-chinese-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
320 |
+
|
321 |
+
The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.
|
322 |
+
|
323 |
+
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.
|
324 |
+
|
325 |
+
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)).
|
326 |
+
|
327 |
+
To load the details from a run, you can for instance do the following:
|
328 |
+
```python
|
329 |
+
from datasets import load_dataset
|
330 |
+
data = load_dataset("open-llm-leaderboard/details_gywy__llama2-13b-chinese-v1",
|
331 |
+
"harness_truthfulqa_mc_0",
|
332 |
+
split="train")
|
333 |
+
```
|
334 |
+
|
335 |
+
## Latest results
|
336 |
+
|
337 |
+
These are the latest results from run 2023-07-26T15:10:00.921624
|
338 |
+
|
339 |
+
```python
|
340 |
+
{
|
341 |
+
"all": {
|
342 |
+
"acc": 0.5420814148370803,
|
343 |
+
"acc_stderr": 0.03472894201222865,
|
344 |
+
"acc_norm": 0.5463875639849175,
|
345 |
+
"acc_norm_stderr": 0.03471430598894899,
|
346 |
+
"mc1": 0.3182374541003672,
|
347 |
+
"mc1_stderr": 0.016305988648920612,
|
348 |
+
"mc2": 0.45724154700953135,
|
349 |
+
"mc2_stderr": 0.015310459215672905
|
350 |
+
},
|
351 |
+
"harness|arc:challenge|25": {
|
352 |
+
"acc": 0.5631399317406144,
|
353 |
+
"acc_stderr": 0.014494421584256513,
|
354 |
+
"acc_norm": 0.5981228668941979,
|
355 |
+
"acc_norm_stderr": 0.014327268614578278
|
356 |
+
},
|
357 |
+
"harness|hellaswag|10": {
|
358 |
+
"acc": 0.5381398127862975,
|
359 |
+
"acc_stderr": 0.004975243508751998,
|
360 |
+
"acc_norm": 0.7572196773551085,
|
361 |
+
"acc_norm_stderr": 0.004278871104930374
|
362 |
+
},
|
363 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
364 |
+
"acc": 0.4,
|
365 |
+
"acc_stderr": 0.04923659639173309,
|
366 |
+
"acc_norm": 0.4,
|
367 |
+
"acc_norm_stderr": 0.04923659639173309
|
368 |
+
},
|
369 |
+
"harness|hendrycksTest-anatomy|5": {
|
370 |
+
"acc": 0.5037037037037037,
|
371 |
+
"acc_stderr": 0.04319223625811331,
|
372 |
+
"acc_norm": 0.5037037037037037,
|
373 |
+
"acc_norm_stderr": 0.04319223625811331
|
374 |
+
},
|
375 |
+
"harness|hendrycksTest-astronomy|5": {
|
376 |
+
"acc": 0.5657894736842105,
|
377 |
+
"acc_stderr": 0.04033565667848319,
|
378 |
+
"acc_norm": 0.5657894736842105,
|
379 |
+
"acc_norm_stderr": 0.04033565667848319
|
380 |
+
},
|
381 |
+
"harness|hendrycksTest-business_ethics|5": {
|
382 |
+
"acc": 0.5,
|
383 |
+
"acc_stderr": 0.050251890762960605,
|
384 |
+
"acc_norm": 0.5,
|
385 |
+
"acc_norm_stderr": 0.050251890762960605
|
386 |
+
},
|
387 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
388 |
+
"acc": 0.5924528301886792,
|
389 |
+
"acc_stderr": 0.030242233800854494,
|
390 |
+
"acc_norm": 0.5924528301886792,
|
391 |
+
"acc_norm_stderr": 0.030242233800854494
|
392 |
+
},
|
393 |
+
"harness|hendrycksTest-college_biology|5": {
|
394 |
+
"acc": 0.5555555555555556,
|
395 |
+
"acc_stderr": 0.041553199555931467,
|
396 |
+
"acc_norm": 0.5555555555555556,
|
397 |
+
"acc_norm_stderr": 0.041553199555931467
|
398 |
+
},
|
399 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
400 |
+
"acc": 0.39,
|
401 |
+
"acc_stderr": 0.04902071300001974,
|
402 |
+
"acc_norm": 0.39,
|
403 |
+
"acc_norm_stderr": 0.04902071300001974
|
404 |
+
},
|
405 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
406 |
+
"acc": 0.41,
|
407 |
+
"acc_stderr": 0.04943110704237102,
|
408 |
+
"acc_norm": 0.41,
|
409 |
+
"acc_norm_stderr": 0.04943110704237102
|
410 |
+
},
|
411 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
412 |
+
"acc": 0.27,
|
413 |
+
"acc_stderr": 0.044619604333847394,
|
414 |
+
"acc_norm": 0.27,
|
415 |
+
"acc_norm_stderr": 0.044619604333847394
|
416 |
+
},
|
417 |
+
"harness|hendrycksTest-college_medicine|5": {
|
418 |
+
"acc": 0.5086705202312138,
|
419 |
+
"acc_stderr": 0.03811890988940412,
|
420 |
+
"acc_norm": 0.5086705202312138,
|
421 |
+
"acc_norm_stderr": 0.03811890988940412
|
422 |
+
},
|
423 |
+
"harness|hendrycksTest-college_physics|5": {
|
424 |
+
"acc": 0.3137254901960784,
|
425 |
+
"acc_stderr": 0.04617034827006717,
|
426 |
+
"acc_norm": 0.3137254901960784,
|
427 |
+
"acc_norm_stderr": 0.04617034827006717
|
428 |
+
},
|
429 |
+
"harness|hendrycksTest-computer_security|5": {
|
430 |
+
"acc": 0.68,
|
431 |
+
"acc_stderr": 0.04688261722621504,
|
432 |
+
"acc_norm": 0.68,
|
433 |
+
"acc_norm_stderr": 0.04688261722621504
|
434 |
+
},
|
435 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
436 |
+
"acc": 0.42127659574468085,
|
437 |
+
"acc_stderr": 0.03227834510146268,
|
438 |
+
"acc_norm": 0.42127659574468085,
|
439 |
+
"acc_norm_stderr": 0.03227834510146268
|
440 |
+
},
|
441 |
+
"harness|hendrycksTest-econometrics|5": {
|
442 |
+
"acc": 0.2982456140350877,
|
443 |
+
"acc_stderr": 0.04303684033537314,
|
444 |
+
"acc_norm": 0.2982456140350877,
|
445 |
+
"acc_norm_stderr": 0.04303684033537314
|
446 |
+
},
|
447 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
448 |
+
"acc": 0.503448275862069,
|
449 |
+
"acc_stderr": 0.04166567577101579,
|
450 |
+
"acc_norm": 0.503448275862069,
|
451 |
+
"acc_norm_stderr": 0.04166567577101579
|
452 |
+
},
|
453 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
454 |
+
"acc": 0.3201058201058201,
|
455 |
+
"acc_stderr": 0.024026846392873506,
|
456 |
+
"acc_norm": 0.3201058201058201,
|
457 |
+
"acc_norm_stderr": 0.024026846392873506
|
458 |
+
},
|
459 |
+
"harness|hendrycksTest-formal_logic|5": {
|
460 |
+
"acc": 0.30952380952380953,
|
461 |
+
"acc_stderr": 0.04134913018303316,
|
462 |
+
"acc_norm": 0.30952380952380953,
|
463 |
+
"acc_norm_stderr": 0.04134913018303316
|
464 |
+
},
|
465 |
+
"harness|hendrycksTest-global_facts|5": {
|
466 |
+
"acc": 0.39,
|
467 |
+
"acc_stderr": 0.04902071300001975,
|
468 |
+
"acc_norm": 0.39,
|
469 |
+
"acc_norm_stderr": 0.04902071300001975
|
470 |
+
},
|
471 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
472 |
+
"acc": 0.6612903225806451,
|
473 |
+
"acc_stderr": 0.026923446059302837,
|
474 |
+
"acc_norm": 0.6612903225806451,
|
475 |
+
"acc_norm_stderr": 0.026923446059302837
|
476 |
+
},
|
477 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
478 |
+
"acc": 0.43349753694581283,
|
479 |
+
"acc_stderr": 0.034867317274198714,
|
480 |
+
"acc_norm": 0.43349753694581283,
|
481 |
+
"acc_norm_stderr": 0.034867317274198714
|
482 |
+
},
|
483 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
484 |
+
"acc": 0.52,
|
485 |
+
"acc_stderr": 0.050211673156867795,
|
486 |
+
"acc_norm": 0.52,
|
487 |
+
"acc_norm_stderr": 0.050211673156867795
|
488 |
+
},
|
489 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
490 |
+
"acc": 0.6727272727272727,
|
491 |
+
"acc_stderr": 0.036639749943912434,
|
492 |
+
"acc_norm": 0.6727272727272727,
|
493 |
+
"acc_norm_stderr": 0.036639749943912434
|
494 |
+
},
|
495 |
+
"harness|hendrycksTest-high_school_geography|5": {
|
496 |
+
"acc": 0.6868686868686869,
|
497 |
+
"acc_stderr": 0.033042050878136525,
|
498 |
+
"acc_norm": 0.6868686868686869,
|
499 |
+
"acc_norm_stderr": 0.033042050878136525
|
500 |
+
},
|
501 |
+
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
502 |
+
"acc": 0.7772020725388601,
|
503 |
+
"acc_stderr": 0.03003114797764154,
|
504 |
+
"acc_norm": 0.7772020725388601,
|
505 |
+
"acc_norm_stderr": 0.03003114797764154
|
506 |
+
},
|
507 |
+
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
508 |
+
"acc": 0.4846153846153846,
|
509 |
+
"acc_stderr": 0.025339003010106515,
|
510 |
+
"acc_norm": 0.4846153846153846,
|
511 |
+
"acc_norm_stderr": 0.025339003010106515
|
512 |
+
},
|
513 |
+
"harness|hendrycksTest-high_school_mathematics|5": {
|
514 |
+
"acc": 0.3037037037037037,
|
515 |
+
"acc_stderr": 0.02803792996911499,
|
516 |
+
"acc_norm": 0.3037037037037037,
|
517 |
+
"acc_norm_stderr": 0.02803792996911499
|
518 |
+
},
|
519 |
+
"harness|hendrycksTest-high_school_microeconomics|5": {
|
520 |
+
"acc": 0.6008403361344538,
|
521 |
+
"acc_stderr": 0.03181110032413926,
|
522 |
+
"acc_norm": 0.6008403361344538,
|
523 |
+
"acc_norm_stderr": 0.03181110032413926
|
524 |
+
},
|
525 |
+
"harness|hendrycksTest-high_school_physics|5": {
|
526 |
+
"acc": 0.31788079470198677,
|
527 |
+
"acc_stderr": 0.038020397601079024,
|
528 |
+
"acc_norm": 0.31788079470198677,
|
529 |
+
"acc_norm_stderr": 0.038020397601079024
|
530 |
+
},
|
531 |
+
"harness|hendrycksTest-high_school_psychology|5": {
|
532 |
+
"acc": 0.7009174311926606,
|
533 |
+
"acc_stderr": 0.019630417285415175,
|
534 |
+
"acc_norm": 0.7009174311926606,
|
535 |
+
"acc_norm_stderr": 0.019630417285415175
|
536 |
+
},
|
537 |
+
"harness|hendrycksTest-high_school_statistics|5": {
|
538 |
+
"acc": 0.4027777777777778,
|
539 |
+
"acc_stderr": 0.03344887382997867,
|
540 |
+
"acc_norm": 0.4027777777777778,
|
541 |
+
"acc_norm_stderr": 0.03344887382997867
|
542 |
+
},
|
543 |
+
"harness|hendrycksTest-high_school_us_history|5": {
|
544 |
+
"acc": 0.7401960784313726,
|
545 |
+
"acc_stderr": 0.03077855467869326,
|
546 |
+
"acc_norm": 0.7401960784313726,
|
547 |
+
"acc_norm_stderr": 0.03077855467869326
|
548 |
+
},
|
549 |
+
"harness|hendrycksTest-high_school_world_history|5": {
|
550 |
+
"acc": 0.7426160337552743,
|
551 |
+
"acc_stderr": 0.028458820991460302,
|
552 |
+
"acc_norm": 0.7426160337552743,
|
553 |
+
"acc_norm_stderr": 0.028458820991460302
|
554 |
+
},
|
555 |
+
"harness|hendrycksTest-human_aging|5": {
|
556 |
+
"acc": 0.6636771300448431,
|
557 |
+
"acc_stderr": 0.031708824268455,
|
558 |
+
"acc_norm": 0.6636771300448431,
|
559 |
+
"acc_norm_stderr": 0.031708824268455
|
560 |
+
},
|
561 |
+
"harness|hendrycksTest-human_sexuality|5": {
|
562 |
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564 |
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565 |
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566 |
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},
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567 |
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|
568 |
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569 |
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570 |
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571 |
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572 |
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573 |
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574 |
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575 |
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576 |
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577 |
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578 |
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},
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579 |
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"harness|hendrycksTest-logical_fallacies|5": {
|
580 |
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581 |
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582 |
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583 |
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584 |
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},
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585 |
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"harness|hendrycksTest-machine_learning|5": {
|
586 |
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587 |
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588 |
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589 |
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590 |
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},
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591 |
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"harness|hendrycksTest-management|5": {
|
592 |
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593 |
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594 |
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595 |
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596 |
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},
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597 |
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"harness|hendrycksTest-marketing|5": {
|
598 |
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599 |
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600 |
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601 |
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602 |
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},
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603 |
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"harness|hendrycksTest-medical_genetics|5": {
|
604 |
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"acc": 0.48,
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605 |
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606 |
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607 |
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608 |
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},
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609 |
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"harness|hendrycksTest-miscellaneous|5": {
|
610 |
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611 |
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612 |
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613 |
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614 |
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},
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615 |
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"harness|hendrycksTest-moral_disputes|5": {
|
616 |
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617 |
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618 |
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619 |
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620 |
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},
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621 |
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"harness|hendrycksTest-moral_scenarios|5": {
|
622 |
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623 |
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624 |
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625 |
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|
626 |
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},
|
627 |
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"harness|hendrycksTest-nutrition|5": {
|
628 |
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"acc": 0.5784313725490197,
|
629 |
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630 |
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|
631 |
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"acc_norm_stderr": 0.028275490156791455
|
632 |
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},
|
633 |
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"harness|hendrycksTest-philosophy|5": {
|
634 |
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"acc": 0.6237942122186495,
|
635 |
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|
636 |
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|
637 |
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"acc_norm_stderr": 0.02751392568354943
|
638 |
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},
|
639 |
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"harness|hendrycksTest-prehistory|5": {
|
640 |
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"acc": 0.5740740740740741,
|
641 |
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|
642 |
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|
643 |
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"acc_norm_stderr": 0.02751374728437942
|
644 |
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},
|
645 |
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"harness|hendrycksTest-professional_accounting|5": {
|
646 |
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"acc": 0.4432624113475177,
|
647 |
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|
648 |
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|
649 |
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"acc_norm_stderr": 0.029634838473766
|
650 |
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},
|
651 |
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"harness|hendrycksTest-professional_law|5": {
|
652 |
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|
653 |
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654 |
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"acc_norm": 0.3970013037809648,
|
655 |
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"acc_norm_stderr": 0.012496346982909553
|
656 |
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},
|
657 |
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"harness|hendrycksTest-professional_medicine|5": {
|
658 |
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|
659 |
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|
660 |
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|
661 |
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|
662 |
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},
|
663 |
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"harness|hendrycksTest-professional_psychology|5": {
|
664 |
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665 |
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666 |
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667 |
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|
668 |
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},
|
669 |
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"harness|hendrycksTest-public_relations|5": {
|
670 |
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|
671 |
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|
672 |
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"acc_norm": 0.6,
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673 |
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|
674 |
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},
|
675 |
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"harness|hendrycksTest-security_studies|5": {
|
676 |
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|
677 |
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|
678 |
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|
679 |
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|
680 |
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},
|
681 |
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"harness|hendrycksTest-sociology|5": {
|
682 |
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|
683 |
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|
684 |
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|
685 |
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"acc_norm_stderr": 0.031524391865554016
|
686 |
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},
|
687 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
688 |
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|
689 |
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|
690 |
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|
691 |
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|
692 |
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},
|
693 |
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"harness|hendrycksTest-virology|5": {
|
694 |
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"acc": 0.4759036144578313,
|
695 |
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|
696 |
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|
697 |
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"acc_norm_stderr": 0.038879718495972646
|
698 |
+
},
|
699 |
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"harness|hendrycksTest-world_religions|5": {
|
700 |
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"acc": 0.7602339181286549,
|
701 |
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|
702 |
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|
703 |
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"acc_norm_stderr": 0.03274485211946956
|
704 |
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},
|
705 |
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"harness|truthfulqa:mc|0": {
|
706 |
+
"mc1": 0.3182374541003672,
|
707 |
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"mc1_stderr": 0.016305988648920612,
|
708 |
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"mc2": 0.45724154700953135,
|
709 |
+
"mc2_stderr": 0.015310459215672905
|
710 |
+
}
|
711 |
+
}
|
712 |
+
```
|
713 |
+
|
714 |
+
### Supported Tasks and Leaderboards
|
715 |
+
|
716 |
+
[More Information Needed]
|
717 |
+
|
718 |
+
### Languages
|
719 |
+
|
720 |
+
[More Information Needed]
|
721 |
+
|
722 |
+
## Dataset Structure
|
723 |
+
|
724 |
+
### Data Instances
|
725 |
+
|
726 |
+
[More Information Needed]
|
727 |
+
|
728 |
+
### Data Fields
|
729 |
+
|
730 |
+
[More Information Needed]
|
731 |
+
|
732 |
+
### Data Splits
|
733 |
+
|
734 |
+
[More Information Needed]
|
735 |
+
|
736 |
+
## Dataset Creation
|
737 |
+
|
738 |
+
### Curation Rationale
|
739 |
+
|
740 |
+
[More Information Needed]
|
741 |
+
|
742 |
+
### Source Data
|
743 |
+
|
744 |
+
#### Initial Data Collection and Normalization
|
745 |
+
|
746 |
+
[More Information Needed]
|
747 |
+
|
748 |
+
#### Who are the source language producers?
|
749 |
+
|
750 |
+
[More Information Needed]
|
751 |
+
|
752 |
+
### Annotations
|
753 |
+
|
754 |
+
#### Annotation process
|
755 |
+
|
756 |
+
[More Information Needed]
|
757 |
+
|
758 |
+
#### Who are the annotators?
|
759 |
+
|
760 |
+
[More Information Needed]
|
761 |
+
|
762 |
+
### Personal and Sensitive Information
|
763 |
+
|
764 |
+
[More Information Needed]
|
765 |
+
|
766 |
+
## Considerations for Using the Data
|
767 |
+
|
768 |
+
### Social Impact of Dataset
|
769 |
+
|
770 |
+
[More Information Needed]
|
771 |
+
|
772 |
+
### Discussion of Biases
|
773 |
+
|
774 |
+
[More Information Needed]
|
775 |
+
|
776 |
+
### Other Known Limitations
|
777 |
+
|
778 |
+
[More Information Needed]
|
779 |
+
|
780 |
+
## Additional Information
|
781 |
+
|
782 |
+
### Dataset Curators
|
783 |
+
|
784 |
+
[More Information Needed]
|
785 |
+
|
786 |
+
### Licensing Information
|
787 |
+
|
788 |
+
[More Information Needed]
|
789 |
+
|
790 |
+
### Citation Information
|
791 |
+
|
792 |
+
[More Information Needed]
|
793 |
+
|
794 |
+
### Contributions
|
795 |
+
|
796 |
+
[More Information Needed]
|