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1
+ ---
2
+ pretty_name: Evaluation run of yihan6324/llama2-7b-instructmining-40k-sharegpt
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [yihan6324/llama2-7b-instructmining-40k-sharegpt](https://huggingface.co/yihan6324/llama2-7b-instructmining-40k-sharegpt)\
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_yihan6324__llama2-7b-instructmining-40k-sharegpt\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-08-09T21:00:12.284244\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.506231001015833,\n \"acc_stderr\":\
18
+ \ 0.03505018845563652,\n \"acc_norm\": 0.5099522031118208,\n \"acc_norm_stderr\"\
19
+ : 0.035035258453899244,\n \"mc1\": 0.36474908200734396,\n \"mc1_stderr\"\
20
+ : 0.01685096106172012,\n \"mc2\": 0.5317717765572597,\n \"mc2_stderr\"\
21
+ : 0.015775374488304787\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.5170648464163823,\n \"acc_stderr\": 0.014602878388536595,\n \
23
+ \ \"acc_norm\": 0.5511945392491467,\n \"acc_norm_stderr\": 0.014534599585097664\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6041625174268074,\n\
25
+ \ \"acc_stderr\": 0.004880303863138504,\n \"acc_norm\": 0.7895837482573193,\n\
26
+ \ \"acc_norm_stderr\": 0.0040677125640782895\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
28
+ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.48148148148148145,\n\
30
+ \ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.48148148148148145,\n\
31
+ \ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.4605263157894737,\n \"acc_stderr\": 0.04056242252249034,\n\
33
+ \ \"acc_norm\": 0.4605263157894737,\n \"acc_norm_stderr\": 0.04056242252249034\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.51,\n\
35
+ \ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \
36
+ \ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.5245283018867924,\n \"acc_stderr\": 0.030735822206205608,\n\
38
+ \ \"acc_norm\": 0.5245283018867924,\n \"acc_norm_stderr\": 0.030735822206205608\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4930555555555556,\n\
40
+ \ \"acc_stderr\": 0.04180806750294938,\n \"acc_norm\": 0.4930555555555556,\n\
41
+ \ \"acc_norm_stderr\": 0.04180806750294938\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.36,\n \"acc_stderr\": 0.048241815132442176,\n \
43
+ \ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.048241815132442176\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
45
+ acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\
46
+ : 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\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\": 0.4682080924855491,\n\
50
+ \ \"acc_stderr\": 0.03804749744364763,\n \"acc_norm\": 0.4682080924855491,\n\
51
+ \ \"acc_norm_stderr\": 0.03804749744364763\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.17647058823529413,\n \"acc_stderr\": 0.03793281185307809,\n\
53
+ \ \"acc_norm\": 0.17647058823529413,\n \"acc_norm_stderr\": 0.03793281185307809\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n\
56
+ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.4723404255319149,\n \"acc_stderr\": 0.03263597118409769,\n\
58
+ \ \"acc_norm\": 0.4723404255319149,\n \"acc_norm_stderr\": 0.03263597118409769\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2543859649122807,\n\
60
+ \ \"acc_stderr\": 0.040969851398436716,\n \"acc_norm\": 0.2543859649122807,\n\
61
+ \ \"acc_norm_stderr\": 0.040969851398436716\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.04166567577101579,\n\
63
+ \ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.04166567577101579\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.3148148148148148,\n \"acc_stderr\": 0.02391998416404773,\n \"\
66
+ acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02391998416404773\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3492063492063492,\n\
68
+ \ \"acc_stderr\": 0.04263906892795133,\n \"acc_norm\": 0.3492063492063492,\n\
69
+ \ \"acc_norm_stderr\": 0.04263906892795133\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
71
+ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.532258064516129,\n\
73
+ \ \"acc_stderr\": 0.028384747788813332,\n \"acc_norm\": 0.532258064516129,\n\
74
+ \ \"acc_norm_stderr\": 0.028384747788813332\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
75
+ : {\n \"acc\": 0.35467980295566504,\n \"acc_stderr\": 0.0336612448905145,\n\
76
+ \ \"acc_norm\": 0.35467980295566504,\n \"acc_norm_stderr\": 0.0336612448905145\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
78
+ \ \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\"\
79
+ : 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
80
+ : {\n \"acc\": 0.6484848484848484,\n \"acc_stderr\": 0.037282069986826503,\n\
81
+ \ \"acc_norm\": 0.6484848484848484,\n \"acc_norm_stderr\": 0.037282069986826503\n\
82
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
83
+ : 0.5959595959595959,\n \"acc_stderr\": 0.034961309720561294,\n \"\
84
+ acc_norm\": 0.5959595959595959,\n \"acc_norm_stderr\": 0.034961309720561294\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
86
+ \ \"acc\": 0.7512953367875648,\n \"acc_stderr\": 0.031195840877700286,\n\
87
+ \ \"acc_norm\": 0.7512953367875648,\n \"acc_norm_stderr\": 0.031195840877700286\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
89
+ \ \"acc\": 0.4564102564102564,\n \"acc_stderr\": 0.025254485424799605,\n\
90
+ \ \"acc_norm\": 0.4564102564102564,\n \"acc_norm_stderr\": 0.025254485424799605\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
92
+ acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \
93
+ \ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
95
+ \ \"acc\": 0.42436974789915966,\n \"acc_stderr\": 0.03210479051015776,\n\
96
+ \ \"acc_norm\": 0.42436974789915966,\n \"acc_norm_stderr\": 0.03210479051015776\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
98
+ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\
99
+ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
101
+ : 0.6990825688073394,\n \"acc_stderr\": 0.019664751366802114,\n \"\
102
+ acc_norm\": 0.6990825688073394,\n \"acc_norm_stderr\": 0.019664751366802114\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
104
+ : 0.3425925925925926,\n \"acc_stderr\": 0.032365852526021574,\n \"\
105
+ acc_norm\": 0.3425925925925926,\n \"acc_norm_stderr\": 0.032365852526021574\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
107
+ : 0.6764705882352942,\n \"acc_stderr\": 0.032834720561085606,\n \"\
108
+ acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.032834720561085606\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
110
+ acc\": 0.7172995780590717,\n \"acc_stderr\": 0.029312814153955934,\n \
111
+ \ \"acc_norm\": 0.7172995780590717,\n \"acc_norm_stderr\": 0.029312814153955934\n\
112
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5964125560538116,\n\
113
+ \ \"acc_stderr\": 0.03292802819330314,\n \"acc_norm\": 0.5964125560538116,\n\
114
+ \ \"acc_norm_stderr\": 0.03292802819330314\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
115
+ : {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.0426073515764456,\n\
116
+ \ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.0426073515764456\n\
117
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
118
+ \ 0.6115702479338843,\n \"acc_stderr\": 0.044492703500683836,\n \"\
119
+ acc_norm\": 0.6115702479338843,\n \"acc_norm_stderr\": 0.044492703500683836\n\
120
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6111111111111112,\n\
121
+ \ \"acc_stderr\": 0.0471282125742677,\n \"acc_norm\": 0.6111111111111112,\n\
122
+ \ \"acc_norm_stderr\": 0.0471282125742677\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
123
+ : {\n \"acc\": 0.5828220858895705,\n \"acc_stderr\": 0.038741028598180814,\n\
124
+ \ \"acc_norm\": 0.5828220858895705,\n \"acc_norm_stderr\": 0.038741028598180814\n\
125
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\
126
+ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\
127
+ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\
128
+ : {\n \"acc\": 0.6601941747572816,\n \"acc_stderr\": 0.04689765937278135,\n\
129
+ \ \"acc_norm\": 0.6601941747572816,\n \"acc_norm_stderr\": 0.04689765937278135\n\
130
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7564102564102564,\n\
131
+ \ \"acc_stderr\": 0.028120966503914397,\n \"acc_norm\": 0.7564102564102564,\n\
132
+ \ \"acc_norm_stderr\": 0.028120966503914397\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
133
+ : {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \
134
+ \ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \
135
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6794380587484036,\n\
136
+ \ \"acc_stderr\": 0.01668889331080376,\n \"acc_norm\": 0.6794380587484036,\n\
137
+ \ \"acc_norm_stderr\": 0.01668889331080376\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
138
+ : {\n \"acc\": 0.5635838150289018,\n \"acc_stderr\": 0.02670054542494367,\n\
139
+ \ \"acc_norm\": 0.5635838150289018,\n \"acc_norm_stderr\": 0.02670054542494367\n\
140
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.264804469273743,\n\
141
+ \ \"acc_stderr\": 0.014756906483260659,\n \"acc_norm\": 0.264804469273743,\n\
142
+ \ \"acc_norm_stderr\": 0.014756906483260659\n },\n \"harness|hendrycksTest-nutrition|5\"\
143
+ : {\n \"acc\": 0.5196078431372549,\n \"acc_stderr\": 0.028607893699576066,\n\
144
+ \ \"acc_norm\": 0.5196078431372549,\n \"acc_norm_stderr\": 0.028607893699576066\n\
145
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5916398713826366,\n\
146
+ \ \"acc_stderr\": 0.027917050748484627,\n \"acc_norm\": 0.5916398713826366,\n\
147
+ \ \"acc_norm_stderr\": 0.027917050748484627\n },\n \"harness|hendrycksTest-prehistory|5\"\
148
+ : {\n \"acc\": 0.5216049382716049,\n \"acc_stderr\": 0.027794760105008736,\n\
149
+ \ \"acc_norm\": 0.5216049382716049,\n \"acc_norm_stderr\": 0.027794760105008736\n\
150
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
151
+ acc\": 0.39361702127659576,\n \"acc_stderr\": 0.02914454478159615,\n \
152
+ \ \"acc_norm\": 0.39361702127659576,\n \"acc_norm_stderr\": 0.02914454478159615\n\
153
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3820078226857888,\n\
154
+ \ \"acc_stderr\": 0.012409564470235565,\n \"acc_norm\": 0.3820078226857888,\n\
155
+ \ \"acc_norm_stderr\": 0.012409564470235565\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
156
+ : {\n \"acc\": 0.5257352941176471,\n \"acc_stderr\": 0.03033257809455504,\n\
157
+ \ \"acc_norm\": 0.5257352941176471,\n \"acc_norm_stderr\": 0.03033257809455504\n\
158
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
159
+ acc\": 0.4918300653594771,\n \"acc_stderr\": 0.02022513434305726,\n \
160
+ \ \"acc_norm\": 0.4918300653594771,\n \"acc_norm_stderr\": 0.02022513434305726\n\
161
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5909090909090909,\n\
162
+ \ \"acc_stderr\": 0.04709306978661896,\n \"acc_norm\": 0.5909090909090909,\n\
163
+ \ \"acc_norm_stderr\": 0.04709306978661896\n },\n \"harness|hendrycksTest-security_studies|5\"\
164
+ : {\n \"acc\": 0.5918367346938775,\n \"acc_stderr\": 0.03146465712827424,\n\
165
+ \ \"acc_norm\": 0.5918367346938775,\n \"acc_norm_stderr\": 0.03146465712827424\n\
166
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6915422885572139,\n\
167
+ \ \"acc_stderr\": 0.03265819588512698,\n \"acc_norm\": 0.6915422885572139,\n\
168
+ \ \"acc_norm_stderr\": 0.03265819588512698\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
169
+ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \
170
+ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n \
171
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.39156626506024095,\n\
172
+ \ \"acc_stderr\": 0.03799857454479636,\n \"acc_norm\": 0.39156626506024095,\n\
173
+ \ \"acc_norm_stderr\": 0.03799857454479636\n },\n \"harness|hendrycksTest-world_religions|5\"\
174
+ : {\n \"acc\": 0.7134502923976608,\n \"acc_stderr\": 0.03467826685703826,\n\
175
+ \ \"acc_norm\": 0.7134502923976608,\n \"acc_norm_stderr\": 0.03467826685703826\n\
176
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36474908200734396,\n\
177
+ \ \"mc1_stderr\": 0.01685096106172012,\n \"mc2\": 0.5317717765572597,\n\
178
+ \ \"mc2_stderr\": 0.015775374488304787\n }\n}\n```"
179
+ repo_url: https://huggingface.co/yihan6324/llama2-7b-instructmining-40k-sharegpt
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_2023-08-09T21:00:12.284244.parquet'
185
+ - config_name: harness_hellaswag_10
186
+ data_files: '**/details_harness|hellaswag|10_2023-08-09T21:00:12.284244.parquet'
187
+ - config_name: harness_hendrycksTest_abstract_algebra_5
188
+ data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T21:00:12.284244.parquet'
189
+ - config_name: harness_hendrycksTest_anatomy_5
190
+ data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T21:00:12.284244.parquet'
191
+ - config_name: harness_hendrycksTest_astronomy_5
192
+ data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T21:00:12.284244.parquet'
193
+ - config_name: harness_hendrycksTest_business_ethics_5
194
+ data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T21:00:12.284244.parquet'
195
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
196
+ data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T21:00:12.284244.parquet'
197
+ - config_name: harness_hendrycksTest_college_biology_5
198
+ data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T21:00:12.284244.parquet'
199
+ - config_name: harness_hendrycksTest_college_chemistry_5
200
+ data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T21:00:12.284244.parquet'
201
+ - config_name: harness_hendrycksTest_college_computer_science_5
202
+ data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T21:00:12.284244.parquet'
203
+ - config_name: harness_hendrycksTest_college_mathematics_5
204
+ data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T21:00:12.284244.parquet'
205
+ - config_name: harness_hendrycksTest_college_medicine_5
206
+ data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T21:00:12.284244.parquet'
207
+ - config_name: harness_hendrycksTest_college_physics_5
208
+ data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T21:00:12.284244.parquet'
209
+ - config_name: harness_hendrycksTest_computer_security_5
210
+ data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T21:00:12.284244.parquet'
211
+ - config_name: harness_hendrycksTest_conceptual_physics_5
212
+ data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T21:00:12.284244.parquet'
213
+ - config_name: harness_hendrycksTest_econometrics_5
214
+ data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T21:00:12.284244.parquet'
215
+ - config_name: harness_hendrycksTest_electrical_engineering_5
216
+ data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T21:00:12.284244.parquet'
217
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
218
+ data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T21:00:12.284244.parquet'
219
+ - config_name: harness_hendrycksTest_formal_logic_5
220
+ data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T21:00:12.284244.parquet'
221
+ - config_name: harness_hendrycksTest_global_facts_5
222
+ data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T21:00:12.284244.parquet'
223
+ - config_name: harness_hendrycksTest_high_school_biology_5
224
+ data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T21:00:12.284244.parquet'
225
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
226
+ data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T21:00:12.284244.parquet'
227
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
228
+ data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T21:00:12.284244.parquet'
229
+ - config_name: harness_hendrycksTest_high_school_european_history_5
230
+ data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T21:00:12.284244.parquet'
231
+ - config_name: harness_hendrycksTest_high_school_geography_5
232
+ data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T21:00:12.284244.parquet'
233
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
234
+ data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T21:00:12.284244.parquet'
235
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
236
+ data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T21:00:12.284244.parquet'
237
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
238
+ data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T21:00:12.284244.parquet'
239
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
240
+ data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T21:00:12.284244.parquet'
241
+ - config_name: harness_hendrycksTest_high_school_physics_5
242
+ data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T21:00:12.284244.parquet'
243
+ - config_name: harness_hendrycksTest_high_school_psychology_5
244
+ data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T21:00:12.284244.parquet'
245
+ - config_name: harness_hendrycksTest_high_school_statistics_5
246
+ data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T21:00:12.284244.parquet'
247
+ - config_name: harness_hendrycksTest_high_school_us_history_5
248
+ data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T21:00:12.284244.parquet'
249
+ - config_name: harness_hendrycksTest_high_school_world_history_5
250
+ data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T21:00:12.284244.parquet'
251
+ - config_name: harness_hendrycksTest_human_aging_5
252
+ data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T21:00:12.284244.parquet'
253
+ - config_name: harness_hendrycksTest_human_sexuality_5
254
+ data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T21:00:12.284244.parquet'
255
+ - config_name: harness_hendrycksTest_international_law_5
256
+ data_files: '**/details_harness|hendrycksTest-international_law|5_2023-08-09T21:00:12.284244.parquet'
257
+ - config_name: harness_hendrycksTest_jurisprudence_5
258
+ data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T21:00:12.284244.parquet'
259
+ - config_name: harness_hendrycksTest_logical_fallacies_5
260
+ data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T21:00:12.284244.parquet'
261
+ - config_name: harness_hendrycksTest_machine_learning_5
262
+ data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T21:00:12.284244.parquet'
263
+ - config_name: harness_hendrycksTest_management_5
264
+ data_files: '**/details_harness|hendrycksTest-management|5_2023-08-09T21:00:12.284244.parquet'
265
+ - config_name: harness_hendrycksTest_marketing_5
266
+ data_files: '**/details_harness|hendrycksTest-marketing|5_2023-08-09T21:00:12.284244.parquet'
267
+ - config_name: harness_hendrycksTest_medical_genetics_5
268
+ data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T21:00:12.284244.parquet'
269
+ - config_name: harness_hendrycksTest_miscellaneous_5
270
+ data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T21:00:12.284244.parquet'
271
+ - config_name: harness_hendrycksTest_moral_disputes_5
272
+ data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T21:00:12.284244.parquet'
273
+ - config_name: harness_hendrycksTest_moral_scenarios_5
274
+ data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T21:00:12.284244.parquet'
275
+ - config_name: harness_hendrycksTest_nutrition_5
276
+ data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T21:00:12.284244.parquet'
277
+ - config_name: harness_hendrycksTest_philosophy_5
278
+ data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T21:00:12.284244.parquet'
279
+ - config_name: harness_hendrycksTest_prehistory_5
280
+ data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T21:00:12.284244.parquet'
281
+ - config_name: harness_hendrycksTest_professional_accounting_5
282
+ data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T21:00:12.284244.parquet'
283
+ - config_name: harness_hendrycksTest_professional_law_5
284
+ data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T21:00:12.284244.parquet'
285
+ - config_name: harness_hendrycksTest_professional_medicine_5
286
+ data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T21:00:12.284244.parquet'
287
+ - config_name: harness_hendrycksTest_professional_psychology_5
288
+ data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T21:00:12.284244.parquet'
289
+ - config_name: harness_hendrycksTest_public_relations_5
290
+ data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T21:00:12.284244.parquet'
291
+ - config_name: harness_hendrycksTest_security_studies_5
292
+ data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T21:00:12.284244.parquet'
293
+ - config_name: harness_hendrycksTest_sociology_5
294
+ data_files: '**/details_harness|hendrycksTest-sociology|5_2023-08-09T21:00:12.284244.parquet'
295
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
296
+ data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T21:00:12.284244.parquet'
297
+ - config_name: harness_hendrycksTest_virology_5
298
+ data_files: '**/details_harness|hendrycksTest-virology|5_2023-08-09T21:00:12.284244.parquet'
299
+ - config_name: harness_hendrycksTest_world_religions_5
300
+ data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T21:00:12.284244.parquet'
301
+ - config_name: harness_truthfulqa_mc_0
302
+ data_files: '**/details_harness|truthfulqa:mc|0_2023-08-09T21:00:12.284244.parquet'
303
+ - config_name: results
304
+ data_files: '**/results_2023-08-09T21:00:12.284244.json'
305
+ ---
306
+
307
+ # Dataset Card for Evaluation run of yihan6324/llama2-7b-instructmining-40k-sharegpt
308
+
309
+ ## Dataset Description
310
+
311
+ - **Homepage:**
312
+ - **Repository:** https://huggingface.co/yihan6324/llama2-7b-instructmining-40k-sharegpt
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 [yihan6324/llama2-7b-instructmining-40k-sharegpt](https://huggingface.co/yihan6324/llama2-7b-instructmining-40k-sharegpt) 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_yihan6324__llama2-7b-instructmining-40k-sharegpt",
331
+ "harness_truthfulqa_mc_0",
332
+ split="train")
333
+ ```
334
+
335
+ ## Latest results
336
+
337
+ These are the latest results from run 2023-08-09T21:00:12.284244
338
+
339
+ ```python
340
+ {
341
+ "all": {
342
+ "acc": 0.506231001015833,
343
+ "acc_stderr": 0.03505018845563652,
344
+ "acc_norm": 0.5099522031118208,
345
+ "acc_norm_stderr": 0.035035258453899244,
346
+ "mc1": 0.36474908200734396,
347
+ "mc1_stderr": 0.01685096106172012,
348
+ "mc2": 0.5317717765572597,
349
+ "mc2_stderr": 0.015775374488304787
350
+ },
351
+ "harness|arc:challenge|25": {
352
+ "acc": 0.5170648464163823,
353
+ "acc_stderr": 0.014602878388536595,
354
+ "acc_norm": 0.5511945392491467,
355
+ "acc_norm_stderr": 0.014534599585097664
356
+ },
357
+ "harness|hellaswag|10": {
358
+ "acc": 0.6041625174268074,
359
+ "acc_stderr": 0.004880303863138504,
360
+ "acc_norm": 0.7895837482573193,
361
+ "acc_norm_stderr": 0.0040677125640782895
362
+ },
363
+ "harness|hendrycksTest-abstract_algebra|5": {
364
+ "acc": 0.29,
365
+ "acc_stderr": 0.045604802157206845,
366
+ "acc_norm": 0.29,
367
+ "acc_norm_stderr": 0.045604802157206845
368
+ },
369
+ "harness|hendrycksTest-anatomy|5": {
370
+ "acc": 0.48148148148148145,
371
+ "acc_stderr": 0.043163785995113245,
372
+ "acc_norm": 0.48148148148148145,
373
+ "acc_norm_stderr": 0.043163785995113245
374
+ },
375
+ "harness|hendrycksTest-astronomy|5": {
376
+ "acc": 0.4605263157894737,
377
+ "acc_stderr": 0.04056242252249034,
378
+ "acc_norm": 0.4605263157894737,
379
+ "acc_norm_stderr": 0.04056242252249034
380
+ },
381
+ "harness|hendrycksTest-business_ethics|5": {
382
+ "acc": 0.51,
383
+ "acc_stderr": 0.05024183937956912,
384
+ "acc_norm": 0.51,
385
+ "acc_norm_stderr": 0.05024183937956912
386
+ },
387
+ "harness|hendrycksTest-clinical_knowledge|5": {
388
+ "acc": 0.5245283018867924,
389
+ "acc_stderr": 0.030735822206205608,
390
+ "acc_norm": 0.5245283018867924,
391
+ "acc_norm_stderr": 0.030735822206205608
392
+ },
393
+ "harness|hendrycksTest-college_biology|5": {
394
+ "acc": 0.4930555555555556,
395
+ "acc_stderr": 0.04180806750294938,
396
+ "acc_norm": 0.4930555555555556,
397
+ "acc_norm_stderr": 0.04180806750294938
398
+ },
399
+ "harness|hendrycksTest-college_chemistry|5": {
400
+ "acc": 0.36,
401
+ "acc_stderr": 0.048241815132442176,
402
+ "acc_norm": 0.36,
403
+ "acc_norm_stderr": 0.048241815132442176
404
+ },
405
+ "harness|hendrycksTest-college_computer_science|5": {
406
+ "acc": 0.44,
407
+ "acc_stderr": 0.04988876515698589,
408
+ "acc_norm": 0.44,
409
+ "acc_norm_stderr": 0.04988876515698589
410
+ },
411
+ "harness|hendrycksTest-college_mathematics|5": {
412
+ "acc": 0.36,
413
+ "acc_stderr": 0.04824181513244218,
414
+ "acc_norm": 0.36,
415
+ "acc_norm_stderr": 0.04824181513244218
416
+ },
417
+ "harness|hendrycksTest-college_medicine|5": {
418
+ "acc": 0.4682080924855491,
419
+ "acc_stderr": 0.03804749744364763,
420
+ "acc_norm": 0.4682080924855491,
421
+ "acc_norm_stderr": 0.03804749744364763
422
+ },
423
+ "harness|hendrycksTest-college_physics|5": {
424
+ "acc": 0.17647058823529413,
425
+ "acc_stderr": 0.03793281185307809,
426
+ "acc_norm": 0.17647058823529413,
427
+ "acc_norm_stderr": 0.03793281185307809
428
+ },
429
+ "harness|hendrycksTest-computer_security|5": {
430
+ "acc": 0.63,
431
+ "acc_stderr": 0.04852365870939099,
432
+ "acc_norm": 0.63,
433
+ "acc_norm_stderr": 0.04852365870939099
434
+ },
435
+ "harness|hendrycksTest-conceptual_physics|5": {
436
+ "acc": 0.4723404255319149,
437
+ "acc_stderr": 0.03263597118409769,
438
+ "acc_norm": 0.4723404255319149,
439
+ "acc_norm_stderr": 0.03263597118409769
440
+ },
441
+ "harness|hendrycksTest-econometrics|5": {
442
+ "acc": 0.2543859649122807,
443
+ "acc_stderr": 0.040969851398436716,
444
+ "acc_norm": 0.2543859649122807,
445
+ "acc_norm_stderr": 0.040969851398436716
446
+ },
447
+ "harness|hendrycksTest-electrical_engineering|5": {
448
+ "acc": 0.496551724137931,
449
+ "acc_stderr": 0.04166567577101579,
450
+ "acc_norm": 0.496551724137931,
451
+ "acc_norm_stderr": 0.04166567577101579
452
+ },
453
+ "harness|hendrycksTest-elementary_mathematics|5": {
454
+ "acc": 0.3148148148148148,
455
+ "acc_stderr": 0.02391998416404773,
456
+ "acc_norm": 0.3148148148148148,
457
+ "acc_norm_stderr": 0.02391998416404773
458
+ },
459
+ "harness|hendrycksTest-formal_logic|5": {
460
+ "acc": 0.3492063492063492,
461
+ "acc_stderr": 0.04263906892795133,
462
+ "acc_norm": 0.3492063492063492,
463
+ "acc_norm_stderr": 0.04263906892795133
464
+ },
465
+ "harness|hendrycksTest-global_facts|5": {
466
+ "acc": 0.37,
467
+ "acc_stderr": 0.04852365870939099,
468
+ "acc_norm": 0.37,
469
+ "acc_norm_stderr": 0.04852365870939099
470
+ },
471
+ "harness|hendrycksTest-high_school_biology|5": {
472
+ "acc": 0.532258064516129,
473
+ "acc_stderr": 0.028384747788813332,
474
+ "acc_norm": 0.532258064516129,
475
+ "acc_norm_stderr": 0.028384747788813332
476
+ },
477
+ "harness|hendrycksTest-high_school_chemistry|5": {
478
+ "acc": 0.35467980295566504,
479
+ "acc_stderr": 0.0336612448905145,
480
+ "acc_norm": 0.35467980295566504,
481
+ "acc_norm_stderr": 0.0336612448905145
482
+ },
483
+ "harness|hendrycksTest-high_school_computer_science|5": {
484
+ "acc": 0.46,
485
+ "acc_stderr": 0.05009082659620332,
486
+ "acc_norm": 0.46,
487
+ "acc_norm_stderr": 0.05009082659620332
488
+ },
489
+ "harness|hendrycksTest-high_school_european_history|5": {
490
+ "acc": 0.6484848484848484,
491
+ "acc_stderr": 0.037282069986826503,
492
+ "acc_norm": 0.6484848484848484,
493
+ "acc_norm_stderr": 0.037282069986826503
494
+ },
495
+ "harness|hendrycksTest-high_school_geography|5": {
496
+ "acc": 0.5959595959595959,
497
+ "acc_stderr": 0.034961309720561294,
498
+ "acc_norm": 0.5959595959595959,
499
+ "acc_norm_stderr": 0.034961309720561294
500
+ },
501
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
502
+ "acc": 0.7512953367875648,
503
+ "acc_stderr": 0.031195840877700286,
504
+ "acc_norm": 0.7512953367875648,
505
+ "acc_norm_stderr": 0.031195840877700286
506
+ },
507
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
508
+ "acc": 0.4564102564102564,
509
+ "acc_stderr": 0.025254485424799605,
510
+ "acc_norm": 0.4564102564102564,
511
+ "acc_norm_stderr": 0.025254485424799605
512
+ },
513
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579
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633
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639
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+ "harness|hendrycksTest-us_foreign_policy|5": {
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699
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+ "harness|truthfulqa:mc|0": {
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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]