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1
+ ---
2
+ pretty_name: Evaluation run of TheBloke/Wizard-Vicuna-13B-Uncensored-HF
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [TheBloke/Wizard-Vicuna-13B-Uncensored-HF](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF)\
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\
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+ \nTo load the details from a run, you can for instance do the following:\n```python\n\
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+ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_TheBloke__Wizard-Vicuna-13B-Uncensored-HF\"\
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+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
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+ \nThese are the latest results from run 2023-07-18T16:17:31.150663\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.48310655286823834,\n \"acc_stderr\"\
18
+ : 0.03495320176413445,\n \"acc_norm\": 0.4868601289719901,\n \"acc_norm_stderr\"\
19
+ : 0.03493437958018643,\n \"mc1\": 0.3635250917992656,\n \"mc1_stderr\"\
20
+ : 0.01683886288396583,\n \"mc2\": 0.5168692050626681,\n \"mc2_stderr\"\
21
+ : 0.015551742387661518\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.5656996587030717,\n \"acc_stderr\": 0.01448470304885736,\n \
23
+ \ \"acc_norm\": 0.5895904436860068,\n \"acc_norm_stderr\": 0.014374922192642666\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6218880701055567,\n\
25
+ \ \"acc_stderr\": 0.0048392473326060404,\n \"acc_norm\": 0.8194582752439753,\n\
26
+ \ \"acc_norm_stderr\": 0.0038385193358868794\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
28
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4666666666666667,\n\
30
+ \ \"acc_stderr\": 0.043097329010363554,\n \"acc_norm\": 0.4666666666666667,\n\
31
+ \ \"acc_norm_stderr\": 0.043097329010363554\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.04063302731486671,\n\
33
+ \ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.04063302731486671\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.49,\n\
35
+ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n \
36
+ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.4716981132075472,\n \"acc_stderr\": 0.030723535249006107,\n\
38
+ \ \"acc_norm\": 0.4716981132075472,\n \"acc_norm_stderr\": 0.030723535249006107\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4861111111111111,\n\
40
+ \ \"acc_stderr\": 0.041795966175810016,\n \"acc_norm\": 0.4861111111111111,\n\
41
+ \ \"acc_norm_stderr\": 0.041795966175810016\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
43
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
45
+ : 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.41,\n\
46
+ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \
48
+ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.4046242774566474,\n\
50
+ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.4046242774566474,\n\
51
+ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.042207736591714534,\n\
53
+ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.042207736591714534\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n\
56
+ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.41702127659574467,\n \"acc_stderr\": 0.032232762667117124,\n\
58
+ \ \"acc_norm\": 0.41702127659574467,\n \"acc_norm_stderr\": 0.032232762667117124\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
60
+ \ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
61
+ \ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04082482904638628,\n \
63
+ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04082482904638628\n },\n\
64
+ \ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.25396825396825395,\n\
65
+ \ \"acc_stderr\": 0.022418042891113946,\n \"acc_norm\": 0.25396825396825395,\n\
66
+ \ \"acc_norm_stderr\": 0.022418042891113946\n },\n \"harness|hendrycksTest-formal_logic|5\"\
67
+ : {\n \"acc\": 0.3492063492063492,\n \"acc_stderr\": 0.042639068927951315,\n\
68
+ \ \"acc_norm\": 0.3492063492063492,\n \"acc_norm_stderr\": 0.042639068927951315\n\
69
+ \ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.31,\n\
70
+ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
71
+ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_biology|5\"\
72
+ : {\n \"acc\": 0.5193548387096775,\n \"acc_stderr\": 0.028422687404312107,\n\
73
+ \ \"acc_norm\": 0.5193548387096775,\n \"acc_norm_stderr\": 0.028422687404312107\n\
74
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
75
+ : 0.32019704433497537,\n \"acc_stderr\": 0.032826493853041504,\n \"\
76
+ acc_norm\": 0.32019704433497537,\n \"acc_norm_stderr\": 0.032826493853041504\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\": 0.6242424242424243,\n \"acc_stderr\": 0.037818873532059816,\n\
81
+ \ \"acc_norm\": 0.6242424242424243,\n \"acc_norm_stderr\": 0.037818873532059816\n\
82
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
83
+ : 0.5555555555555556,\n \"acc_stderr\": 0.035402943770953675,\n \"\
84
+ acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.035402943770953675\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
86
+ \ \"acc\": 0.6632124352331606,\n \"acc_stderr\": 0.03410780251836183,\n\
87
+ \ \"acc_norm\": 0.6632124352331606,\n \"acc_norm_stderr\": 0.03410780251836183\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
89
+ \ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604234,\n \
90
+ \ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604234\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
92
+ acc\": 0.2111111111111111,\n \"acc_stderr\": 0.02488211685765509,\n \
93
+ \ \"acc_norm\": 0.2111111111111111,\n \"acc_norm_stderr\": 0.02488211685765509\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
95
+ \ \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.0322529423239964,\n \
96
+ \ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.0322529423239964\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
98
+ : 0.2251655629139073,\n \"acc_stderr\": 0.03410435282008937,\n \"\
99
+ acc_norm\": 0.2251655629139073,\n \"acc_norm_stderr\": 0.03410435282008937\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
101
+ : 0.6238532110091743,\n \"acc_stderr\": 0.02076923196820508,\n \"\
102
+ acc_norm\": 0.6238532110091743,\n \"acc_norm_stderr\": 0.02076923196820508\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
104
+ : 0.23148148148148148,\n \"acc_stderr\": 0.028765111718046955,\n \"\
105
+ acc_norm\": 0.23148148148148148,\n \"acc_norm_stderr\": 0.028765111718046955\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
107
+ : 0.6519607843137255,\n \"acc_stderr\": 0.03343311240488418,\n \"\
108
+ acc_norm\": 0.6519607843137255,\n \"acc_norm_stderr\": 0.03343311240488418\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
110
+ acc\": 0.6919831223628692,\n \"acc_stderr\": 0.030052389335605702,\n \
111
+ \ \"acc_norm\": 0.6919831223628692,\n \"acc_norm_stderr\": 0.030052389335605702\n\
112
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5695067264573991,\n\
113
+ \ \"acc_stderr\": 0.033231973029429394,\n \"acc_norm\": 0.5695067264573991,\n\
114
+ \ \"acc_norm_stderr\": 0.033231973029429394\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
115
+ : {\n \"acc\": 0.5954198473282443,\n \"acc_stderr\": 0.043046937953806645,\n\
116
+ \ \"acc_norm\": 0.5954198473282443,\n \"acc_norm_stderr\": 0.043046937953806645\n\
117
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
118
+ \ 0.6694214876033058,\n \"acc_stderr\": 0.04294340845212094,\n \"\
119
+ acc_norm\": 0.6694214876033058,\n \"acc_norm_stderr\": 0.04294340845212094\n\
120
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5462962962962963,\n\
121
+ \ \"acc_stderr\": 0.04812917324536823,\n \"acc_norm\": 0.5462962962962963,\n\
122
+ \ \"acc_norm_stderr\": 0.04812917324536823\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
123
+ : {\n \"acc\": 0.5460122699386503,\n \"acc_stderr\": 0.0391170190467718,\n\
124
+ \ \"acc_norm\": 0.5460122699386503,\n \"acc_norm_stderr\": 0.0391170190467718\n\
125
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.375,\n\
126
+ \ \"acc_stderr\": 0.04595091388086298,\n \"acc_norm\": 0.375,\n \
127
+ \ \"acc_norm_stderr\": 0.04595091388086298\n },\n \"harness|hendrycksTest-management|5\"\
128
+ : {\n \"acc\": 0.6019417475728155,\n \"acc_stderr\": 0.048467482539772386,\n\
129
+ \ \"acc_norm\": 0.6019417475728155,\n \"acc_norm_stderr\": 0.048467482539772386\n\
130
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7649572649572649,\n\
131
+ \ \"acc_stderr\": 0.027778835904935444,\n \"acc_norm\": 0.7649572649572649,\n\
132
+ \ \"acc_norm_stderr\": 0.027778835904935444\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
133
+ : {\n \"acc\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \
134
+ \ \"acc_norm\": 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n \
135
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6768837803320562,\n\
136
+ \ \"acc_stderr\": 0.016723726512343048,\n \"acc_norm\": 0.6768837803320562,\n\
137
+ \ \"acc_norm_stderr\": 0.016723726512343048\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
138
+ : {\n \"acc\": 0.5086705202312138,\n \"acc_stderr\": 0.026915047355369804,\n\
139
+ \ \"acc_norm\": 0.5086705202312138,\n \"acc_norm_stderr\": 0.026915047355369804\n\
140
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24804469273743016,\n\
141
+ \ \"acc_stderr\": 0.01444415780826144,\n \"acc_norm\": 0.24804469273743016,\n\
142
+ \ \"acc_norm_stderr\": 0.01444415780826144\n },\n \"harness|hendrycksTest-nutrition|5\"\
143
+ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.028629916715693413,\n \
144
+ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.028629916715693413\n \
145
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5530546623794212,\n\
146
+ \ \"acc_stderr\": 0.028237769422085335,\n \"acc_norm\": 0.5530546623794212,\n\
147
+ \ \"acc_norm_stderr\": 0.028237769422085335\n },\n \"harness|hendrycksTest-prehistory|5\"\
148
+ : {\n \"acc\": 0.5370370370370371,\n \"acc_stderr\": 0.027744313443376536,\n\
149
+ \ \"acc_norm\": 0.5370370370370371,\n \"acc_norm_stderr\": 0.027744313443376536\n\
150
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
151
+ acc\": 0.3617021276595745,\n \"acc_stderr\": 0.028663820147199495,\n \
152
+ \ \"acc_norm\": 0.3617021276595745,\n \"acc_norm_stderr\": 0.028663820147199495\n\
153
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.40547588005215124,\n\
154
+ \ \"acc_stderr\": 0.012539960672377207,\n \"acc_norm\": 0.40547588005215124,\n\
155
+ \ \"acc_norm_stderr\": 0.012539960672377207\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
156
+ : {\n \"acc\": 0.49264705882352944,\n \"acc_stderr\": 0.030369552523902173,\n\
157
+ \ \"acc_norm\": 0.49264705882352944,\n \"acc_norm_stderr\": 0.030369552523902173\n\
158
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
159
+ acc\": 0.5081699346405228,\n \"acc_stderr\": 0.020225134343057272,\n \
160
+ \ \"acc_norm\": 0.5081699346405228,\n \"acc_norm_stderr\": 0.020225134343057272\n\
161
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5272727272727272,\n\
162
+ \ \"acc_stderr\": 0.04782001791380061,\n \"acc_norm\": 0.5272727272727272,\n\
163
+ \ \"acc_norm_stderr\": 0.04782001791380061\n },\n \"harness|hendrycksTest-security_studies|5\"\
164
+ : {\n \"acc\": 0.5306122448979592,\n \"acc_stderr\": 0.031949171367580624,\n\
165
+ \ \"acc_norm\": 0.5306122448979592,\n \"acc_norm_stderr\": 0.031949171367580624\n\
166
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6368159203980099,\n\
167
+ \ \"acc_stderr\": 0.034005985055990146,\n \"acc_norm\": 0.6368159203980099,\n\
168
+ \ \"acc_norm_stderr\": 0.034005985055990146\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
169
+ : {\n \"acc\": 0.77,\n \"acc_stderr\": 0.04229525846816505,\n \
170
+ \ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.04229525846816505\n \
171
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.45180722891566266,\n\
172
+ \ \"acc_stderr\": 0.03874371556587953,\n \"acc_norm\": 0.45180722891566266,\n\
173
+ \ \"acc_norm_stderr\": 0.03874371556587953\n },\n \"harness|hendrycksTest-world_religions|5\"\
174
+ : {\n \"acc\": 0.6900584795321637,\n \"acc_stderr\": 0.035469769593931624,\n\
175
+ \ \"acc_norm\": 0.6900584795321637,\n \"acc_norm_stderr\": 0.035469769593931624\n\
176
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3635250917992656,\n\
177
+ \ \"mc1_stderr\": 0.01683886288396583,\n \"mc2\": 0.5168692050626681,\n\
178
+ \ \"mc2_stderr\": 0.015551742387661518\n }\n}\n```"
179
+ repo_url: https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF
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_2023-07-18T16:17:31.150663.parquet'
185
+ - config_name: harness_hellaswag_10
186
+ data_files: '**/details_harness|hellaswag|10_2023-07-18T16:17:31.150663.parquet'
187
+ - config_name: harness_hendrycksTest_abstract_algebra_5
188
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-18T16:17:31.150663.parquet'
189
+ - config_name: harness_hendrycksTest_anatomy_5
190
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-07-18T16:17:31.150663.parquet'
191
+ - config_name: harness_hendrycksTest_astronomy_5
192
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-07-18T16:17:31.150663.parquet'
193
+ - config_name: harness_hendrycksTest_business_ethics_5
194
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-07-18T16:17:31.150663.parquet'
195
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
196
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-18T16:17:31.150663.parquet'
197
+ - config_name: harness_hendrycksTest_college_biology_5
198
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-07-18T16:17:31.150663.parquet'
199
+ - config_name: harness_hendrycksTest_college_chemistry_5
200
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-18T16:17:31.150663.parquet'
201
+ - config_name: harness_hendrycksTest_college_computer_science_5
202
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-18T16:17:31.150663.parquet'
203
+ - config_name: harness_hendrycksTest_college_mathematics_5
204
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-18T16:17:31.150663.parquet'
205
+ - config_name: harness_hendrycksTest_college_medicine_5
206
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-07-18T16:17:31.150663.parquet'
207
+ - config_name: harness_hendrycksTest_college_physics_5
208
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-07-18T16:17:31.150663.parquet'
209
+ - config_name: harness_hendrycksTest_computer_security_5
210
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-07-18T16:17:31.150663.parquet'
211
+ - config_name: harness_hendrycksTest_conceptual_physics_5
212
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-18T16:17:31.150663.parquet'
213
+ - config_name: harness_hendrycksTest_econometrics_5
214
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-07-18T16:17:31.150663.parquet'
215
+ - config_name: harness_hendrycksTest_electrical_engineering_5
216
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-18T16:17:31.150663.parquet'
217
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
218
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-18T16:17:31.150663.parquet'
219
+ - config_name: harness_hendrycksTest_formal_logic_5
220
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-07-18T16:17:31.150663.parquet'
221
+ - config_name: harness_hendrycksTest_global_facts_5
222
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-07-18T16:17:31.150663.parquet'
223
+ - config_name: harness_hendrycksTest_high_school_biology_5
224
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-18T16:17:31.150663.parquet'
225
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
226
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-18T16:17:31.150663.parquet'
227
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
228
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-18T16:17:31.150663.parquet'
229
+ - config_name: harness_hendrycksTest_high_school_european_history_5
230
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-18T16:17:31.150663.parquet'
231
+ - config_name: harness_hendrycksTest_high_school_geography_5
232
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-18T16:17:31.150663.parquet'
233
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
234
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-18T16:17:31.150663.parquet'
235
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
236
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-18T16:17:31.150663.parquet'
237
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
238
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-18T16:17:31.150663.parquet'
239
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
240
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-18T16:17:31.150663.parquet'
241
+ - config_name: harness_hendrycksTest_high_school_physics_5
242
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-18T16:17:31.150663.parquet'
243
+ - config_name: harness_hendrycksTest_high_school_psychology_5
244
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-18T16:17:31.150663.parquet'
245
+ - config_name: harness_hendrycksTest_high_school_statistics_5
246
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-18T16:17:31.150663.parquet'
247
+ - config_name: harness_hendrycksTest_high_school_us_history_5
248
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-18T16:17:31.150663.parquet'
249
+ - config_name: harness_hendrycksTest_high_school_world_history_5
250
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-18T16:17:31.150663.parquet'
251
+ - config_name: harness_hendrycksTest_human_aging_5
252
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-07-18T16:17:31.150663.parquet'
253
+ - config_name: harness_hendrycksTest_human_sexuality_5
254
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-18T16:17:31.150663.parquet'
255
+ - config_name: harness_hendrycksTest_international_law_5
256
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-07-18T16:17:31.150663.parquet'
257
+ - config_name: harness_hendrycksTest_jurisprudence_5
258
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-18T16:17:31.150663.parquet'
259
+ - config_name: harness_hendrycksTest_logical_fallacies_5
260
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-18T16:17:31.150663.parquet'
261
+ - config_name: harness_hendrycksTest_machine_learning_5
262
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-07-18T16:17:31.150663.parquet'
263
+ - config_name: harness_hendrycksTest_management_5
264
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-07-18T16:17:31.150663.parquet'
265
+ - config_name: harness_hendrycksTest_marketing_5
266
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-07-18T16:17:31.150663.parquet'
267
+ - config_name: harness_hendrycksTest_medical_genetics_5
268
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-18T16:17:31.150663.parquet'
269
+ - config_name: harness_hendrycksTest_miscellaneous_5
270
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-18T16:17:31.150663.parquet'
271
+ - config_name: harness_hendrycksTest_moral_disputes_5
272
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-18T16:17:31.150663.parquet'
273
+ - config_name: harness_hendrycksTest_moral_scenarios_5
274
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-18T16:17:31.150663.parquet'
275
+ - config_name: harness_hendrycksTest_nutrition_5
276
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-07-18T16:17:31.150663.parquet'
277
+ - config_name: harness_hendrycksTest_philosophy_5
278
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-07-18T16:17:31.150663.parquet'
279
+ - config_name: harness_hendrycksTest_prehistory_5
280
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-07-18T16:17:31.150663.parquet'
281
+ - config_name: harness_hendrycksTest_professional_accounting_5
282
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-18T16:17:31.150663.parquet'
283
+ - config_name: harness_hendrycksTest_professional_law_5
284
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-07-18T16:17:31.150663.parquet'
285
+ - config_name: harness_hendrycksTest_professional_medicine_5
286
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-18T16:17:31.150663.parquet'
287
+ - config_name: harness_hendrycksTest_professional_psychology_5
288
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-18T16:17:31.150663.parquet'
289
+ - config_name: harness_hendrycksTest_public_relations_5
290
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-07-18T16:17:31.150663.parquet'
291
+ - config_name: harness_hendrycksTest_security_studies_5
292
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-07-18T16:17:31.150663.parquet'
293
+ - config_name: harness_hendrycksTest_sociology_5
294
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-07-18T16:17:31.150663.parquet'
295
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
296
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-18T16:17:31.150663.parquet'
297
+ - config_name: harness_hendrycksTest_virology_5
298
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-07-18T16:17:31.150663.parquet'
299
+ - config_name: harness_hendrycksTest_world_religions_5
300
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-07-18T16:17:31.150663.parquet'
301
+ - config_name: harness_truthfulqa_mc_0
302
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-07-18T16:17:31.150663.parquet'
303
+ - config_name: results
304
+ data_files: '**/results_2023-07-18T16:17:31.150663.json'
305
+ ---
306
+
307
+ # Dataset Card for Evaluation run of TheBloke/Wizard-Vicuna-13B-Uncensored-HF
308
+
309
+ ## Dataset Description
310
+
311
+ - **Homepage:**
312
+ - **Repository:** https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF
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 [TheBloke/Wizard-Vicuna-13B-Uncensored-HF](https://huggingface.co/TheBloke/Wizard-Vicuna-13B-Uncensored-HF) 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_TheBloke__Wizard-Vicuna-13B-Uncensored-HF",
331
+ "harness_truthfulqa_mc_0",
332
+ split="train")
333
+ ```
334
+
335
+ ## Latest results
336
+
337
+ These are the latest results from run 2023-07-18T16:17:31.150663
338
+
339
+ ```python
340
+ {
341
+ "all": {
342
+ "acc": 0.48310655286823834,
343
+ "acc_stderr": 0.03495320176413445,
344
+ "acc_norm": 0.4868601289719901,
345
+ "acc_norm_stderr": 0.03493437958018643,
346
+ "mc1": 0.3635250917992656,
347
+ "mc1_stderr": 0.01683886288396583,
348
+ "mc2": 0.5168692050626681,
349
+ "mc2_stderr": 0.015551742387661518
350
+ },
351
+ "harness|arc:challenge|25": {
352
+ "acc": 0.5656996587030717,
353
+ "acc_stderr": 0.01448470304885736,
354
+ "acc_norm": 0.5895904436860068,
355
+ "acc_norm_stderr": 0.014374922192642666
356
+ },
357
+ "harness|hellaswag|10": {
358
+ "acc": 0.6218880701055567,
359
+ "acc_stderr": 0.0048392473326060404,
360
+ "acc_norm": 0.8194582752439753,
361
+ "acc_norm_stderr": 0.0038385193358868794
362
+ },
363
+ "harness|hendrycksTest-abstract_algebra|5": {
364
+ "acc": 0.3,
365
+ "acc_stderr": 0.046056618647183814,
366
+ "acc_norm": 0.3,
367
+ "acc_norm_stderr": 0.046056618647183814
368
+ },
369
+ "harness|hendrycksTest-anatomy|5": {
370
+ "acc": 0.4666666666666667,
371
+ "acc_stderr": 0.043097329010363554,
372
+ "acc_norm": 0.4666666666666667,
373
+ "acc_norm_stderr": 0.043097329010363554
374
+ },
375
+ "harness|hendrycksTest-astronomy|5": {
376
+ "acc": 0.47368421052631576,
377
+ "acc_stderr": 0.04063302731486671,
378
+ "acc_norm": 0.47368421052631576,
379
+ "acc_norm_stderr": 0.04063302731486671
380
+ },
381
+ "harness|hendrycksTest-business_ethics|5": {
382
+ "acc": 0.49,
383
+ "acc_stderr": 0.05024183937956912,
384
+ "acc_norm": 0.49,
385
+ "acc_norm_stderr": 0.05024183937956912
386
+ },
387
+ "harness|hendrycksTest-clinical_knowledge|5": {
388
+ "acc": 0.4716981132075472,
389
+ "acc_stderr": 0.030723535249006107,
390
+ "acc_norm": 0.4716981132075472,
391
+ "acc_norm_stderr": 0.030723535249006107
392
+ },
393
+ "harness|hendrycksTest-college_biology|5": {
394
+ "acc": 0.4861111111111111,
395
+ "acc_stderr": 0.041795966175810016,
396
+ "acc_norm": 0.4861111111111111,
397
+ "acc_norm_stderr": 0.041795966175810016
398
+ },
399
+ "harness|hendrycksTest-college_chemistry|5": {
400
+ "acc": 0.3,
401
+ "acc_stderr": 0.046056618647183814,
402
+ "acc_norm": 0.3,
403
+ "acc_norm_stderr": 0.046056618647183814
404
+ },
405
+ "harness|hendrycksTest-college_computer_science|5": {
406
+ "acc": 0.41,
407
+ "acc_stderr": 0.049431107042371025,
408
+ "acc_norm": 0.41,
409
+ "acc_norm_stderr": 0.049431107042371025
410
+ },
411
+ "harness|hendrycksTest-college_mathematics|5": {
412
+ "acc": 0.32,
413
+ "acc_stderr": 0.04688261722621505,
414
+ "acc_norm": 0.32,
415
+ "acc_norm_stderr": 0.04688261722621505
416
+ },
417
+ "harness|hendrycksTest-college_medicine|5": {
418
+ "acc": 0.4046242774566474,
419
+ "acc_stderr": 0.03742461193887248,
420
+ "acc_norm": 0.4046242774566474,
421
+ "acc_norm_stderr": 0.03742461193887248
422
+ },
423
+ "harness|hendrycksTest-college_physics|5": {
424
+ "acc": 0.23529411764705882,
425
+ "acc_stderr": 0.042207736591714534,
426
+ "acc_norm": 0.23529411764705882,
427
+ "acc_norm_stderr": 0.042207736591714534
428
+ },
429
+ "harness|hendrycksTest-computer_security|5": {
430
+ "acc": 0.59,
431
+ "acc_stderr": 0.049431107042371025,
432
+ "acc_norm": 0.59,
433
+ "acc_norm_stderr": 0.049431107042371025
434
+ },
435
+ "harness|hendrycksTest-conceptual_physics|5": {
436
+ "acc": 0.41702127659574467,
437
+ "acc_stderr": 0.032232762667117124,
438
+ "acc_norm": 0.41702127659574467,
439
+ "acc_norm_stderr": 0.032232762667117124
440
+ },
441
+ "harness|hendrycksTest-econometrics|5": {
442
+ "acc": 0.2982456140350877,
443
+ "acc_stderr": 0.04303684033537315,
444
+ "acc_norm": 0.2982456140350877,
445
+ "acc_norm_stderr": 0.04303684033537315
446
+ },
447
+ "harness|hendrycksTest-electrical_engineering|5": {
448
+ "acc": 0.4,
449
+ "acc_stderr": 0.04082482904638628,
450
+ "acc_norm": 0.4,
451
+ "acc_norm_stderr": 0.04082482904638628
452
+ },
453
+ "harness|hendrycksTest-elementary_mathematics|5": {
454
+ "acc": 0.25396825396825395,
455
+ "acc_stderr": 0.022418042891113946,
456
+ "acc_norm": 0.25396825396825395,
457
+ "acc_norm_stderr": 0.022418042891113946
458
+ },
459
+ "harness|hendrycksTest-formal_logic|5": {
460
+ "acc": 0.3492063492063492,
461
+ "acc_stderr": 0.042639068927951315,
462
+ "acc_norm": 0.3492063492063492,
463
+ "acc_norm_stderr": 0.042639068927951315
464
+ },
465
+ "harness|hendrycksTest-global_facts|5": {
466
+ "acc": 0.31,
467
+ "acc_stderr": 0.04648231987117316,
468
+ "acc_norm": 0.31,
469
+ "acc_norm_stderr": 0.04648231987117316
470
+ },
471
+ "harness|hendrycksTest-high_school_biology|5": {
472
+ "acc": 0.5193548387096775,
473
+ "acc_stderr": 0.028422687404312107,
474
+ "acc_norm": 0.5193548387096775,
475
+ "acc_norm_stderr": 0.028422687404312107
476
+ },
477
+ "harness|hendrycksTest-high_school_chemistry|5": {
478
+ "acc": 0.32019704433497537,
479
+ "acc_stderr": 0.032826493853041504,
480
+ "acc_norm": 0.32019704433497537,
481
+ "acc_norm_stderr": 0.032826493853041504
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": 0.6242424242424243,
491
+ "acc_stderr": 0.037818873532059816,
492
+ "acc_norm": 0.6242424242424243,
493
+ "acc_norm_stderr": 0.037818873532059816
494
+ },
495
+ "harness|hendrycksTest-high_school_geography|5": {
496
+ "acc": 0.5555555555555556,
497
+ "acc_stderr": 0.035402943770953675,
498
+ "acc_norm": 0.5555555555555556,
499
+ "acc_norm_stderr": 0.035402943770953675
500
+ },
501
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
502
+ "acc": 0.6632124352331606,
503
+ "acc_stderr": 0.03410780251836183,
504
+ "acc_norm": 0.6632124352331606,
505
+ "acc_norm_stderr": 0.03410780251836183
506
+ },
507
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
508
+ "acc": 0.4230769230769231,
509
+ "acc_stderr": 0.02504919787604234,
510
+ "acc_norm": 0.4230769230769231,
511
+ "acc_norm_stderr": 0.02504919787604234
512
+ },
513
+ "harness|hendrycksTest-high_school_mathematics|5": {
514
+ "acc": 0.2111111111111111,
515
+ "acc_stderr": 0.02488211685765509,
516
+ "acc_norm": 0.2111111111111111,
517
+ "acc_norm_stderr": 0.02488211685765509
518
+ },
519
+ "harness|hendrycksTest-high_school_microeconomics|5": {
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561
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567
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573
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574
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579
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580
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585
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597
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603
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627
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633
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635
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639
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681
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+ "harness|hendrycksTest-virology|5": {
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699
+ "harness|hendrycksTest-world_religions|5": {
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+ "harness|truthfulqa:mc|0": {
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709
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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]