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1
+ ---
2
+ pretty_name: Evaluation run of liuda1/dm7b_sft_gpt88w_merge
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [liuda1/dm7b_sft_gpt88w_merge](https://huggingface.co/liuda1/dm7b_sft_gpt88w_merge)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 63 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 aggregated 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_liuda1__dm7b_sft_gpt88w_merge\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-29T13:58:07.444331](https://huggingface.co/datasets/open-llm-leaderboard/details_liuda1__dm7b_sft_gpt88w_merge/blob/main/results_2023-12-29T13-58-07.444331.json)(note\
17
+ \ that their might be results for other tasks in the repos if successive evals didn't\
18
+ \ cover the same tasks. You find each in the results and the \"latest\" split for\
19
+ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6127437181058283,\n\
20
+ \ \"acc_stderr\": 0.0327777601045524,\n \"acc_norm\": 0.6172340800294932,\n\
21
+ \ \"acc_norm_stderr\": 0.03343821473181721,\n \"mc1\": 0.37454100367197063,\n\
22
+ \ \"mc1_stderr\": 0.016943535128405338,\n \"mc2\": 0.5332886572328565,\n\
23
+ \ \"mc2_stderr\": 0.014981874154728991\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216386,\n\
25
+ \ \"acc_norm\": 0.6228668941979523,\n \"acc_norm_stderr\": 0.014163366896192601\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6270663214499104,\n\
27
+ \ \"acc_stderr\": 0.004825963768772224,\n \"acc_norm\": 0.8247361083449513,\n\
28
+ \ \"acc_norm_stderr\": 0.0037941565512722712\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.045126085985421296,\n \
30
+ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.045126085985421296\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5925925925925926,\n\
32
+ \ \"acc_stderr\": 0.04244633238353227,\n \"acc_norm\": 0.5925925925925926,\n\
33
+ \ \"acc_norm_stderr\": 0.04244633238353227\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395268,\n\
35
+ \ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395268\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.63,\n\
37
+ \ \"acc_stderr\": 0.048523658709391,\n \"acc_norm\": 0.63,\n \
38
+ \ \"acc_norm_stderr\": 0.048523658709391\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.6641509433962264,\n \"acc_stderr\": 0.02906722014664483,\n\
40
+ \ \"acc_norm\": 0.6641509433962264,\n \"acc_norm_stderr\": 0.02906722014664483\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6805555555555556,\n\
42
+ \ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.6805555555555556,\n\
43
+ \ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
45
+ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
47
+ acc\": 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\"\
48
+ : 0.57,\n \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \
50
+ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\
52
+ \ \"acc_stderr\": 0.03714325906302065,\n \"acc_norm\": 0.6127167630057804,\n\
53
+ \ \"acc_norm_stderr\": 0.03714325906302065\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201942,\n\
55
+ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201942\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.75,\n \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n\
58
+ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.5234042553191489,\n \"acc_stderr\": 0.03265019475033582,\n\
60
+ \ \"acc_norm\": 0.5234042553191489,\n \"acc_norm_stderr\": 0.03265019475033582\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.42105263157894735,\n\
62
+ \ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.42105263157894735,\n\
63
+ \ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\
65
+ \ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"\
68
+ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4126984126984127,\n\
70
+ \ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.4126984126984127,\n\
71
+ \ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \
73
+ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7387096774193549,\n\
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+ \ \"acc_stderr\": 0.024993053397764812,\n \"acc_norm\": 0.7387096774193549,\n\
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+ \ \"acc_norm_stderr\": 0.024993053397764812\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
77
+ : {\n \"acc\": 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n\
78
+ \ \"acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\
79
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
80
+ \ \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\"\
81
+ : 0.68,\n \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
82
+ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
83
+ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
84
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
85
+ : 0.7626262626262627,\n \"acc_stderr\": 0.030313710538198892,\n \"\
86
+ acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.030313710538198892\n\
87
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
88
+ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.02614848346915332,\n\
89
+ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.02614848346915332\n\
90
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
91
+ \ \"acc\": 0.6205128205128205,\n \"acc_stderr\": 0.02460362692409742,\n \
92
+ \ \"acc_norm\": 0.6205128205128205,\n \"acc_norm_stderr\": 0.02460362692409742\n\
93
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
94
+ acc\": 0.3111111111111111,\n \"acc_stderr\": 0.028226446749683515,\n \
95
+ \ \"acc_norm\": 0.3111111111111111,\n \"acc_norm_stderr\": 0.028226446749683515\n\
96
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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+ \ \"acc\": 0.6218487394957983,\n \"acc_stderr\": 0.03149930577784906,\n \
98
+ \ \"acc_norm\": 0.6218487394957983,\n \"acc_norm_stderr\": 0.03149930577784906\n\
99
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
100
+ : 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\
101
+ acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\
102
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
103
+ : 0.7963302752293578,\n \"acc_stderr\": 0.01726674208763079,\n \"\
104
+ acc_norm\": 0.7963302752293578,\n \"acc_norm_stderr\": 0.01726674208763079\n\
105
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
106
+ : 0.4583333333333333,\n \"acc_stderr\": 0.03398110890294636,\n \"\
107
+ acc_norm\": 0.4583333333333333,\n \"acc_norm_stderr\": 0.03398110890294636\n\
108
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
109
+ : 0.7843137254901961,\n \"acc_stderr\": 0.028867431449849313,\n \"\
110
+ acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.028867431449849313\n\
111
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
112
+ acc\": 0.7679324894514767,\n \"acc_stderr\": 0.02747974455080851,\n \
113
+ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.02747974455080851\n\
114
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\
115
+ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\
116
+ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
117
+ : {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\
118
+ \ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\
119
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
120
+ \ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\
121
+ acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\
122
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\
123
+ \ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\
124
+ \ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
125
+ : {\n \"acc\": 0.7239263803680982,\n \"acc_stderr\": 0.035123852837050475,\n\
126
+ \ \"acc_norm\": 0.7239263803680982,\n \"acc_norm_stderr\": 0.035123852837050475\n\
127
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\
128
+ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\
129
+ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\
130
+ : {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\
131
+ \ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\
132
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\
133
+ \ \"acc_stderr\": 0.020930193185179333,\n \"acc_norm\": 0.8846153846153846,\n\
134
+ \ \"acc_norm_stderr\": 0.020930193185179333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
135
+ : {\n \"acc\": 0.71,\n \"acc_stderr\": 0.04560480215720684,\n \
136
+ \ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.04560480215720684\n \
137
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\
138
+ \ \"acc_stderr\": 0.01403694585038139,\n \"acc_norm\": 0.80970625798212,\n\
139
+ \ \"acc_norm_stderr\": 0.01403694585038139\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
140
+ : {\n \"acc\": 0.6763005780346821,\n \"acc_stderr\": 0.025190181327608408,\n\
141
+ \ \"acc_norm\": 0.6763005780346821,\n \"acc_norm_stderr\": 0.025190181327608408\n\
142
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.27150837988826815,\n\
143
+ \ \"acc_stderr\": 0.01487425216809526,\n \"acc_norm\": 0.27150837988826815,\n\
144
+ \ \"acc_norm_stderr\": 0.01487425216809526\n },\n \"harness|hendrycksTest-nutrition|5\"\
145
+ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.026336613469046626,\n\
146
+ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.026336613469046626\n\
147
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6752411575562701,\n\
148
+ \ \"acc_stderr\": 0.026596782287697043,\n \"acc_norm\": 0.6752411575562701,\n\
149
+ \ \"acc_norm_stderr\": 0.026596782287697043\n },\n \"harness|hendrycksTest-prehistory|5\"\
150
+ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\
151
+ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\
152
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
153
+ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \
154
+ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\
155
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.43546284224250326,\n\
156
+ \ \"acc_stderr\": 0.01266341210124834,\n \"acc_norm\": 0.43546284224250326,\n\
157
+ \ \"acc_norm_stderr\": 0.01266341210124834\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
158
+ : {\n \"acc\": 0.6102941176470589,\n \"acc_stderr\": 0.029624663581159703,\n\
159
+ \ \"acc_norm\": 0.6102941176470589,\n \"acc_norm_stderr\": 0.029624663581159703\n\
160
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
161
+ acc\": 0.6160130718954249,\n \"acc_stderr\": 0.019675808135281508,\n \
162
+ \ \"acc_norm\": 0.6160130718954249,\n \"acc_norm_stderr\": 0.019675808135281508\n\
163
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\
164
+ \ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \
165
+ \ \"acc_norm_stderr\": 0.0469237132203465\n },\n \"harness|hendrycksTest-security_studies|5\"\
166
+ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.02927956741106568,\n\
167
+ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.02927956741106568\n\
168
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8258706467661692,\n\
169
+ \ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\
170
+ \ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \
172
+ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5180722891566265,\n\
174
+ \ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\
175
+ \ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.8011695906432749,\n \"acc_stderr\": 0.03061111655743253,\n\
177
+ \ \"acc_norm\": 0.8011695906432749,\n \"acc_norm_stderr\": 0.03061111655743253\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.37454100367197063,\n\
179
+ \ \"mc1_stderr\": 0.016943535128405338,\n \"mc2\": 0.5332886572328565,\n\
180
+ \ \"mc2_stderr\": 0.014981874154728991\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.7758484609313339,\n \"acc_stderr\": 0.011720400740774104\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.42077331311599697,\n \
183
+ \ \"acc_stderr\": 0.013598489497182838\n }\n}\n```"
184
+ repo_url: https://huggingface.co/liuda1/dm7b_sft_gpt88w_merge
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: clementine@hf.co
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_29T13_58_07.444331
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-29T13-58-07.444331.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-29T13-58-07.444331.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_29T13_58_07.444331
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-29T13-58-07.444331.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-29T13-58-07.444331.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_29T13_58_07.444331
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-29T13-58-07.444331.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-29T13-58-07.444331.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_29T13_58_07.444331
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T13-58-07.444331.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T13-58-07.444331.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T13-58-07.444331.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T13-58-07.444331.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T13-58-07.444331.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T13-58-07.444331.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T13-58-07.444331.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T13-58-07.444331.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T13-58-07.444331.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T13-58-07.444331.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T13-58-07.444331.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T13-58-07.444331.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T13-58-07.444331.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T13-58-07.444331.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T13-58-07.444331.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T13-58-07.444331.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T13-58-07.444331.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T13-58-07.444331.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T13-58-07.444331.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T13-58-07.444331.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T13-58-07.444331.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T13-58-07.444331.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T13-58-07.444331.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T13-58-07.444331.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T13-58-07.444331.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T13-58-07.444331.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T13-58-07.444331.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T13-58-07.444331.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T13-58-07.444331.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T13-58-07.444331.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T13-58-07.444331.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T13-58-07.444331.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T13-58-07.444331.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T13-58-07.444331.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T13-58-07.444331.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T13-58-07.444331.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T13-58-07.444331.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T13-58-07.444331.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T13-58-07.444331.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T13-58-07.444331.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T13-58-07.444331.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T13-58-07.444331.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T13-58-07.444331.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T13-58-07.444331.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T13-58-07.444331.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T13-58-07.444331.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T13-58-07.444331.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T13-58-07.444331.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T13-58-07.444331.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T13-58-07.444331.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T13-58-07.444331.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T13-58-07.444331.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T13-58-07.444331.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T13-58-07.444331.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T13-58-07.444331.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T13-58-07.444331.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T13-58-07.444331.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T13-58-07.444331.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T13-58-07.444331.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T13-58-07.444331.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T13-58-07.444331.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T13-58-07.444331.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T13-58-07.444331.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T13-58-07.444331.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T13-58-07.444331.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T13-58-07.444331.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T13-58-07.444331.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T13-58-07.444331.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T13-58-07.444331.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T13-58-07.444331.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T13-58-07.444331.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T13-58-07.444331.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T13-58-07.444331.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T13-58-07.444331.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T13-58-07.444331.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T13-58-07.444331.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T13-58-07.444331.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T13-58-07.444331.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T13-58-07.444331.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T13-58-07.444331.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T13-58-07.444331.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T13-58-07.444331.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T13-58-07.444331.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T13-58-07.444331.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T13-58-07.444331.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T13-58-07.444331.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T13-58-07.444331.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T13-58-07.444331.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T13-58-07.444331.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T13-58-07.444331.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T13-58-07.444331.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T13-58-07.444331.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T13-58-07.444331.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T13-58-07.444331.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T13-58-07.444331.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T13-58-07.444331.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T13-58-07.444331.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T13-58-07.444331.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T13-58-07.444331.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T13-58-07.444331.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T13-58-07.444331.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T13-58-07.444331.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T13-58-07.444331.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T13-58-07.444331.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T13-58-07.444331.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T13-58-07.444331.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T13-58-07.444331.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T13-58-07.444331.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T13-58-07.444331.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T13-58-07.444331.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T13-58-07.444331.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T13-58-07.444331.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T13-58-07.444331.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T13-58-07.444331.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_29T13_58_07.444331
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T13-58-07.444331.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-29T13-58-07.444331.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_29T13_58_07.444331
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T13-58-07.444331.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-29T13-58-07.444331.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_29T13_58_07.444331
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T13-58-07.444331.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-29T13-58-07.444331.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_29T13_58_07.444331
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T13-58-07.444331.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-29T13-58-07.444331.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_29T13_58_07.444331
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T13-58-07.444331.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-29T13-58-07.444331.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_29T13_58_07.444331
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T13-58-07.444331.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-29T13-58-07.444331.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_29T13_58_07.444331
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T13-58-07.444331.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-29T13-58-07.444331.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_29T13_58_07.444331
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T13-58-07.444331.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-29T13-58-07.444331.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_29T13_58_07.444331
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T13-58-07.444331.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-29T13-58-07.444331.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_29T13_58_07.444331
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T13-58-07.444331.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-29T13-58-07.444331.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_29T13_58_07.444331
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T13-58-07.444331.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-29T13-58-07.444331.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_29T13_58_07.444331
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T13-58-07.444331.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-29T13-58-07.444331.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_29T13_58_07.444331
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T13-58-07.444331.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-29T13-58-07.444331.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_29T13_58_07.444331
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T13-58-07.444331.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-29T13-58-07.444331.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_29T13_58_07.444331
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T13-58-07.444331.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-29T13-58-07.444331.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_29T13_58_07.444331
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T13-58-07.444331.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-29T13-58-07.444331.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_29T13_58_07.444331
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T13-58-07.444331.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-29T13-58-07.444331.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_29T13_58_07.444331
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T13-58-07.444331.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-29T13-58-07.444331.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_29T13_58_07.444331
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T13-58-07.444331.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-29T13-58-07.444331.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_29T13_58_07.444331
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T13-58-07.444331.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-29T13-58-07.444331.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_29T13_58_07.444331
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T13-58-07.444331.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-29T13-58-07.444331.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_29T13_58_07.444331
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T13-58-07.444331.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-29T13-58-07.444331.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_29T13_58_07.444331
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T13-58-07.444331.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-29T13-58-07.444331.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_29T13_58_07.444331
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T13-58-07.444331.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-29T13-58-07.444331.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_29T13_58_07.444331
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T13-58-07.444331.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-29T13-58-07.444331.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_29T13_58_07.444331
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T13-58-07.444331.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-29T13-58-07.444331.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_29T13_58_07.444331
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T13-58-07.444331.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-29T13-58-07.444331.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_29T13_58_07.444331
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T13-58-07.444331.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-29T13-58-07.444331.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_29T13_58_07.444331
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T13-58-07.444331.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-29T13-58-07.444331.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_29T13_58_07.444331
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T13-58-07.444331.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-29T13-58-07.444331.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_29T13_58_07.444331
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T13-58-07.444331.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-29T13-58-07.444331.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_29T13_58_07.444331
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T13-58-07.444331.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-29T13-58-07.444331.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_29T13_58_07.444331
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T13-58-07.444331.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-29T13-58-07.444331.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_29T13_58_07.444331
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T13-58-07.444331.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-29T13-58-07.444331.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_29T13_58_07.444331
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T13-58-07.444331.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-29T13-58-07.444331.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_29T13_58_07.444331
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T13-58-07.444331.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-29T13-58-07.444331.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_29T13_58_07.444331
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T13-58-07.444331.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-29T13-58-07.444331.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_29T13_58_07.444331
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T13-58-07.444331.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-29T13-58-07.444331.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_29T13_58_07.444331
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T13-58-07.444331.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-29T13-58-07.444331.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_29T13_58_07.444331
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T13-58-07.444331.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-29T13-58-07.444331.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_29T13_58_07.444331
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T13-58-07.444331.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-29T13-58-07.444331.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_29T13_58_07.444331
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T13-58-07.444331.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-29T13-58-07.444331.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_29T13_58_07.444331
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T13-58-07.444331.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-29T13-58-07.444331.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_29T13_58_07.444331
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T13-58-07.444331.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-29T13-58-07.444331.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_29T13_58_07.444331
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T13-58-07.444331.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-29T13-58-07.444331.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_29T13_58_07.444331
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T13-58-07.444331.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-29T13-58-07.444331.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_29T13_58_07.444331
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T13-58-07.444331.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-29T13-58-07.444331.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_29T13_58_07.444331
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T13-58-07.444331.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-29T13-58-07.444331.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_29T13_58_07.444331
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T13-58-07.444331.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-29T13-58-07.444331.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_29T13_58_07.444331
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T13-58-07.444331.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-29T13-58-07.444331.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_29T13_58_07.444331
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T13-58-07.444331.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-29T13-58-07.444331.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_29T13_58_07.444331
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T13-58-07.444331.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-29T13-58-07.444331.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_29T13_58_07.444331
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T13-58-07.444331.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-29T13-58-07.444331.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_29T13_58_07.444331
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T13-58-07.444331.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-29T13-58-07.444331.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_29T13_58_07.444331
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T13-58-07.444331.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-29T13-58-07.444331.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_29T13_58_07.444331
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T13-58-07.444331.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-29T13-58-07.444331.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_29T13_58_07.444331
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T13-58-07.444331.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-29T13-58-07.444331.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_29T13_58_07.444331
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T13-58-07.444331.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-29T13-58-07.444331.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_29T13_58_07.444331
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-29T13-58-07.444331.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-29T13-58-07.444331.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_29T13_58_07.444331
807
+ path:
808
+ - results_2023-12-29T13-58-07.444331.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-29T13-58-07.444331.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of liuda1/dm7b_sft_gpt88w_merge
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [liuda1/dm7b_sft_gpt88w_merge](https://huggingface.co/liuda1/dm7b_sft_gpt88w_merge) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
+
820
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
+
822
+ 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.
823
+
824
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
825
+
826
+ To load the details from a run, you can for instance do the following:
827
+ ```python
828
+ from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_liuda1__dm7b_sft_gpt88w_merge",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-29T13:58:07.444331](https://huggingface.co/datasets/open-llm-leaderboard/details_liuda1__dm7b_sft_gpt88w_merge/blob/main/results_2023-12-29T13-58-07.444331.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
837
+
838
+ ```python
839
+ {
840
+ "all": {
841
+ "acc": 0.6127437181058283,
842
+ "acc_stderr": 0.0327777601045524,
843
+ "acc_norm": 0.6172340800294932,
844
+ "acc_norm_stderr": 0.03343821473181721,
845
+ "mc1": 0.37454100367197063,
846
+ "mc1_stderr": 0.016943535128405338,
847
+ "mc2": 0.5332886572328565,
848
+ "mc2_stderr": 0.014981874154728991
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.5844709897610921,
852
+ "acc_stderr": 0.014401366641216386,
853
+ "acc_norm": 0.6228668941979523,
854
+ "acc_norm_stderr": 0.014163366896192601
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.6270663214499104,
858
+ "acc_stderr": 0.004825963768772224,
859
+ "acc_norm": 0.8247361083449513,
860
+ "acc_norm_stderr": 0.0037941565512722712
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.28,
864
+ "acc_stderr": 0.045126085985421296,
865
+ "acc_norm": 0.28,
866
+ "acc_norm_stderr": 0.045126085985421296
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.5925925925925926,
870
+ "acc_stderr": 0.04244633238353227,
871
+ "acc_norm": 0.5925925925925926,
872
+ "acc_norm_stderr": 0.04244633238353227
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.6644736842105263,
876
+ "acc_stderr": 0.03842498559395268,
877
+ "acc_norm": 0.6644736842105263,
878
+ "acc_norm_stderr": 0.03842498559395268
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.63,
882
+ "acc_stderr": 0.048523658709391,
883
+ "acc_norm": 0.63,
884
+ "acc_norm_stderr": 0.048523658709391
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.6641509433962264,
888
+ "acc_stderr": 0.02906722014664483,
889
+ "acc_norm": 0.6641509433962264,
890
+ "acc_norm_stderr": 0.02906722014664483
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.6805555555555556,
894
+ "acc_stderr": 0.038990736873573344,
895
+ "acc_norm": 0.6805555555555556,
896
+ "acc_norm_stderr": 0.038990736873573344
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.47,
900
+ "acc_stderr": 0.050161355804659205,
901
+ "acc_norm": 0.47,
902
+ "acc_norm_stderr": 0.050161355804659205
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.57,
906
+ "acc_stderr": 0.049756985195624284,
907
+ "acc_norm": 0.57,
908
+ "acc_norm_stderr": 0.049756985195624284
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.39,
912
+ "acc_stderr": 0.04902071300001974,
913
+ "acc_norm": 0.39,
914
+ "acc_norm_stderr": 0.04902071300001974
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.6127167630057804,
918
+ "acc_stderr": 0.03714325906302065,
919
+ "acc_norm": 0.6127167630057804,
920
+ "acc_norm_stderr": 0.03714325906302065
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.3333333333333333,
924
+ "acc_stderr": 0.04690650298201942,
925
+ "acc_norm": 0.3333333333333333,
926
+ "acc_norm_stderr": 0.04690650298201942
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.75,
930
+ "acc_stderr": 0.04351941398892446,
931
+ "acc_norm": 0.75,
932
+ "acc_norm_stderr": 0.04351941398892446
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.5234042553191489,
936
+ "acc_stderr": 0.03265019475033582,
937
+ "acc_norm": 0.5234042553191489,
938
+ "acc_norm_stderr": 0.03265019475033582
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.42105263157894735,
942
+ "acc_stderr": 0.046446020912223177,
943
+ "acc_norm": 0.42105263157894735,
944
+ "acc_norm_stderr": 0.046446020912223177
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.5310344827586206,
948
+ "acc_stderr": 0.04158632762097828,
949
+ "acc_norm": 0.5310344827586206,
950
+ "acc_norm_stderr": 0.04158632762097828
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.38095238095238093,
954
+ "acc_stderr": 0.025010749116137595,
955
+ "acc_norm": 0.38095238095238093,
956
+ "acc_norm_stderr": 0.025010749116137595
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.4126984126984127,
960
+ "acc_stderr": 0.04403438954768176,
961
+ "acc_norm": 0.4126984126984127,
962
+ "acc_norm_stderr": 0.04403438954768176
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.33,
966
+ "acc_stderr": 0.04725815626252606,
967
+ "acc_norm": 0.33,
968
+ "acc_norm_stderr": 0.04725815626252606
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.7387096774193549,
972
+ "acc_stderr": 0.024993053397764812,
973
+ "acc_norm": 0.7387096774193549,
974
+ "acc_norm_stderr": 0.024993053397764812
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.4630541871921182,
978
+ "acc_stderr": 0.035083705204426656,
979
+ "acc_norm": 0.4630541871921182,
980
+ "acc_norm_stderr": 0.035083705204426656
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.68,
984
+ "acc_stderr": 0.04688261722621505,
985
+ "acc_norm": 0.68,
986
+ "acc_norm_stderr": 0.04688261722621505
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.7696969696969697,
990
+ "acc_stderr": 0.0328766675860349,
991
+ "acc_norm": 0.7696969696969697,
992
+ "acc_norm_stderr": 0.0328766675860349
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.7626262626262627,
996
+ "acc_stderr": 0.030313710538198892,
997
+ "acc_norm": 0.7626262626262627,
998
+ "acc_norm_stderr": 0.030313710538198892
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.844559585492228,
1002
+ "acc_stderr": 0.02614848346915332,
1003
+ "acc_norm": 0.844559585492228,
1004
+ "acc_norm_stderr": 0.02614848346915332
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.6205128205128205,
1008
+ "acc_stderr": 0.02460362692409742,
1009
+ "acc_norm": 0.6205128205128205,
1010
+ "acc_norm_stderr": 0.02460362692409742
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.3111111111111111,
1014
+ "acc_stderr": 0.028226446749683515,
1015
+ "acc_norm": 0.3111111111111111,
1016
+ "acc_norm_stderr": 0.028226446749683515
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.6218487394957983,
1020
+ "acc_stderr": 0.03149930577784906,
1021
+ "acc_norm": 0.6218487394957983,
1022
+ "acc_norm_stderr": 0.03149930577784906
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.2980132450331126,
1026
+ "acc_stderr": 0.037345356767871984,
1027
+ "acc_norm": 0.2980132450331126,
1028
+ "acc_norm_stderr": 0.037345356767871984
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.7963302752293578,
1032
+ "acc_stderr": 0.01726674208763079,
1033
+ "acc_norm": 0.7963302752293578,
1034
+ "acc_norm_stderr": 0.01726674208763079
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.4583333333333333,
1038
+ "acc_stderr": 0.03398110890294636,
1039
+ "acc_norm": 0.4583333333333333,
1040
+ "acc_norm_stderr": 0.03398110890294636
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.7843137254901961,
1044
+ "acc_stderr": 0.028867431449849313,
1045
+ "acc_norm": 0.7843137254901961,
1046
+ "acc_norm_stderr": 0.028867431449849313
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.7679324894514767,
1050
+ "acc_stderr": 0.02747974455080851,
1051
+ "acc_norm": 0.7679324894514767,
1052
+ "acc_norm_stderr": 0.02747974455080851
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.6547085201793722,
1056
+ "acc_stderr": 0.03191100192835794,
1057
+ "acc_norm": 0.6547085201793722,
1058
+ "acc_norm_stderr": 0.03191100192835794
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.7404580152671756,
1062
+ "acc_stderr": 0.03844876139785271,
1063
+ "acc_norm": 0.7404580152671756,
1064
+ "acc_norm_stderr": 0.03844876139785271
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.8016528925619835,
1068
+ "acc_stderr": 0.036401182719909456,
1069
+ "acc_norm": 0.8016528925619835,
1070
+ "acc_norm_stderr": 0.036401182719909456
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.7592592592592593,
1074
+ "acc_stderr": 0.04133119440243838,
1075
+ "acc_norm": 0.7592592592592593,
1076
+ "acc_norm_stderr": 0.04133119440243838
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.7239263803680982,
1080
+ "acc_stderr": 0.035123852837050475,
1081
+ "acc_norm": 0.7239263803680982,
1082
+ "acc_norm_stderr": 0.035123852837050475
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.5089285714285714,
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+ "acc_stderr": 0.04745033255489123,
1087
+ "acc_norm": 0.5089285714285714,
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+ "acc_norm_stderr": 0.04745033255489123
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+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.7572815533980582,
1092
+ "acc_stderr": 0.04245022486384495,
1093
+ "acc_norm": 0.7572815533980582,
1094
+ "acc_norm_stderr": 0.04245022486384495
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.8846153846153846,
1098
+ "acc_stderr": 0.020930193185179333,
1099
+ "acc_norm": 0.8846153846153846,
1100
+ "acc_norm_stderr": 0.020930193185179333
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.71,
1104
+ "acc_stderr": 0.04560480215720684,
1105
+ "acc_norm": 0.71,
1106
+ "acc_norm_stderr": 0.04560480215720684
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.80970625798212,
1110
+ "acc_stderr": 0.01403694585038139,
1111
+ "acc_norm": 0.80970625798212,
1112
+ "acc_norm_stderr": 0.01403694585038139
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.6763005780346821,
1116
+ "acc_stderr": 0.025190181327608408,
1117
+ "acc_norm": 0.6763005780346821,
1118
+ "acc_norm_stderr": 0.025190181327608408
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.27150837988826815,
1122
+ "acc_stderr": 0.01487425216809526,
1123
+ "acc_norm": 0.27150837988826815,
1124
+ "acc_norm_stderr": 0.01487425216809526
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.696078431372549,
1128
+ "acc_stderr": 0.026336613469046626,
1129
+ "acc_norm": 0.696078431372549,
1130
+ "acc_norm_stderr": 0.026336613469046626
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.6752411575562701,
1134
+ "acc_stderr": 0.026596782287697043,
1135
+ "acc_norm": 0.6752411575562701,
1136
+ "acc_norm_stderr": 0.026596782287697043
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.7037037037037037,
1140
+ "acc_stderr": 0.025407197798890162,
1141
+ "acc_norm": 0.7037037037037037,
1142
+ "acc_norm_stderr": 0.025407197798890162
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.4929078014184397,
1146
+ "acc_stderr": 0.02982449855912901,
1147
+ "acc_norm": 0.4929078014184397,
1148
+ "acc_norm_stderr": 0.02982449855912901
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.43546284224250326,
1152
+ "acc_stderr": 0.01266341210124834,
1153
+ "acc_norm": 0.43546284224250326,
1154
+ "acc_norm_stderr": 0.01266341210124834
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.6102941176470589,
1158
+ "acc_stderr": 0.029624663581159703,
1159
+ "acc_norm": 0.6102941176470589,
1160
+ "acc_norm_stderr": 0.029624663581159703
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.6160130718954249,
1164
+ "acc_stderr": 0.019675808135281508,
1165
+ "acc_norm": 0.6160130718954249,
1166
+ "acc_norm_stderr": 0.019675808135281508
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.6,
1170
+ "acc_stderr": 0.0469237132203465,
1171
+ "acc_norm": 0.6,
1172
+ "acc_norm_stderr": 0.0469237132203465
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.7020408163265306,
1176
+ "acc_stderr": 0.02927956741106568,
1177
+ "acc_norm": 0.7020408163265306,
1178
+ "acc_norm_stderr": 0.02927956741106568
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.8258706467661692,
1182
+ "acc_stderr": 0.026814951200421603,
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+ "acc_norm": 0.8258706467661692,
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+ "acc_norm_stderr": 0.026814951200421603
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.84,
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+ "acc_norm": 0.84,
1190
+ "acc_norm_stderr": 0.03684529491774708
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.5180722891566265,
1194
+ "acc_stderr": 0.03889951252827216,
1195
+ "acc_norm": 0.5180722891566265,
1196
+ "acc_norm_stderr": 0.03889951252827216
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.8011695906432749,
1200
+ "acc_stderr": 0.03061111655743253,
1201
+ "acc_norm": 0.8011695906432749,
1202
+ "acc_norm_stderr": 0.03061111655743253
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.37454100367197063,
1206
+ "mc1_stderr": 0.016943535128405338,
1207
+ "mc2": 0.5332886572328565,
1208
+ "mc2_stderr": 0.014981874154728991
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.7758484609313339,
1212
+ "acc_stderr": 0.011720400740774104
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.42077331311599697,
1216
+ "acc_stderr": 0.013598489497182838
1217
+ }
1218
+ }
1219
+ ```
1220
+
1221
+ ## Dataset Details
1222
+
1223
+ ### Dataset Description
1224
+
1225
+ <!-- Provide a longer summary of what this dataset is. -->
1226
+
1227
+
1228
+
1229
+ - **Curated by:** [More Information Needed]
1230
+ - **Funded by [optional]:** [More Information Needed]
1231
+ - **Shared by [optional]:** [More Information Needed]
1232
+ - **Language(s) (NLP):** [More Information Needed]
1233
+ - **License:** [More Information Needed]
1234
+
1235
+ ### Dataset Sources [optional]
1236
+
1237
+ <!-- Provide the basic links for the dataset. -->
1238
+
1239
+ - **Repository:** [More Information Needed]
1240
+ - **Paper [optional]:** [More Information Needed]
1241
+ - **Demo [optional]:** [More Information Needed]
1242
+
1243
+ ## Uses
1244
+
1245
+ <!-- Address questions around how the dataset is intended to be used. -->
1246
+
1247
+ ### Direct Use
1248
+
1249
+ <!-- This section describes suitable use cases for the dataset. -->
1250
+
1251
+ [More Information Needed]
1252
+
1253
+ ### Out-of-Scope Use
1254
+
1255
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1256
+
1257
+ [More Information Needed]
1258
+
1259
+ ## Dataset Structure
1260
+
1261
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
1262
+
1263
+ [More Information Needed]
1264
+
1265
+ ## Dataset Creation
1266
+
1267
+ ### Curation Rationale
1268
+
1269
+ <!-- Motivation for the creation of this dataset. -->
1270
+
1271
+ [More Information Needed]
1272
+
1273
+ ### Source Data
1274
+
1275
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1276
+
1277
+ #### Data Collection and Processing
1278
+
1279
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1280
+
1281
+ [More Information Needed]
1282
+
1283
+ #### Who are the source data producers?
1284
+
1285
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
1286
+
1287
+ [More Information Needed]
1288
+
1289
+ ### Annotations [optional]
1290
+
1291
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1292
+
1293
+ #### Annotation process
1294
+
1295
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
1296
+
1297
+ [More Information Needed]
1298
+
1299
+ #### Who are the annotators?
1300
+
1301
+ <!-- This section describes the people or systems who created the annotations. -->
1302
+
1303
+ [More Information Needed]
1304
+
1305
+ #### Personal and Sensitive Information
1306
+
1307
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
1308
+
1309
+ [More Information Needed]
1310
+
1311
+ ## Bias, Risks, and Limitations
1312
+
1313
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1314
+
1315
+ [More Information Needed]
1316
+
1317
+ ### Recommendations
1318
+
1319
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1320
+
1321
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1322
+
1323
+ ## Citation [optional]
1324
+
1325
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1326
+
1327
+ **BibTeX:**
1328
+
1329
+ [More Information Needed]
1330
+
1331
+ **APA:**
1332
+
1333
+ [More Information Needed]
1334
+
1335
+ ## Glossary [optional]
1336
+
1337
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1338
+
1339
+ [More Information Needed]
1340
+
1341
+ ## More Information [optional]
1342
+
1343
+ [More Information Needed]
1344
+
1345
+ ## Dataset Card Authors [optional]
1346
+
1347
+ [More Information Needed]
1348
+
1349
+ ## Dataset Card Contact
1350
+
1351
+ [More Information Needed]