Commit
•
e6b0827
1
Parent(s):
d45fa09
Upload README.md with huggingface_hub
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README.md
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1 |
+
---
|
2 |
+
pretty_name: Evaluation run of CorticalStack/pastiche-crown-clown-7b-dare
|
3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
4 |
+
\ [CorticalStack/pastiche-crown-clown-7b-dare](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare)\
|
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_CorticalStack__pastiche-crown-clown-7b-dare\"\
|
15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
16 |
+
These are the [latest results from run 2024-02-29T11:22:41.104663](https://huggingface.co/datasets/open-llm-leaderboard/details_CorticalStack__pastiche-crown-clown-7b-dare/blob/main/results_2024-02-29T11-22-41.104663.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\": 0.6533455196286904,\n\
|
20 |
+
\ \"acc_stderr\": 0.03205109514509481,\n \"acc_norm\": 0.6527878751041697,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.03272288859268575,\n \"mc1\": 0.6242350061199511,\n\
|
22 |
+
\ \"mc1_stderr\": 0.016954584060214287,\n \"mc2\": 0.7725581659437346,\n\
|
23 |
+
\ \"mc2_stderr\": 0.01380134055052962\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.71160409556314,\n \"acc_stderr\": 0.013238394422428173,\n\
|
25 |
+
\ \"acc_norm\": 0.7295221843003413,\n \"acc_norm_stderr\": 0.012980954547659556\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7146982672774348,\n\
|
27 |
+
\ \"acc_stderr\": 0.004506351723820961,\n \"acc_norm\": 0.8888667596096396,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.003136547276689892\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
|
30 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6370370370370371,\n\
|
32 |
+
\ \"acc_stderr\": 0.04153948404742398,\n \"acc_norm\": 0.6370370370370371,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.04153948404742398\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137283,\n\
|
35 |
+
\ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137283\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\
|
37 |
+
\ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.02815283794249386,\n\
|
40 |
+
\ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.02815283794249386\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\
|
42 |
+
\ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \
|
45 |
+
\ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
47 |
+
: 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\
|
48 |
+
\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
|
50 |
+
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6705202312138728,\n\
|
52 |
+
\ \"acc_stderr\": 0.03583901754736412,\n \"acc_norm\": 0.6705202312138728,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03583901754736412\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.048580835742663454,\n\
|
55 |
+
\ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.048580835742663454\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\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\
|
60 |
+
\ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.47368421052631576,\n\
|
62 |
+
\ \"acc_stderr\": 0.046970851366478626,\n \"acc_norm\": 0.47368421052631576,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.046970851366478626\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.5724137931034483,\n \"acc_stderr\": 0.04122737111370332,\n\
|
65 |
+
\ \"acc_norm\": 0.5724137931034483,\n \"acc_norm_stderr\": 0.04122737111370332\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.41005291005291006,\n \"acc_stderr\": 0.025331202438944433,\n \"\
|
68 |
+
acc_norm\": 0.41005291005291006,\n \"acc_norm_stderr\": 0.025331202438944433\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\
|
70 |
+
\ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \
|
73 |
+
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7741935483870968,\n\
|
75 |
+
\ \"acc_stderr\": 0.023785577884181015,\n \"acc_norm\": 0.7741935483870968,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.023785577884181015\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n\
|
78 |
+
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
|
81 |
+
: 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\
|
83 |
+
\ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\
|
86 |
+
acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033484,\n\
|
89 |
+
\ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033484\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.6692307692307692,\n \"acc_stderr\": 0.023854795680971125,\n\
|
92 |
+
\ \"acc_norm\": 0.6692307692307692,\n \"acc_norm_stderr\": 0.023854795680971125\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.3148148148148148,\n \"acc_stderr\": 0.028317533496066485,\n \
|
95 |
+
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.028317533496066485\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.6680672268907563,\n \"acc_stderr\": 0.03058869701378364,\n \
|
98 |
+
\ \"acc_norm\": 0.6680672268907563,\n \"acc_norm_stderr\": 0.03058869701378364\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.3973509933774834,\n \"acc_stderr\": 0.0399552400768168,\n \"acc_norm\"\
|
101 |
+
: 0.3973509933774834,\n \"acc_norm_stderr\": 0.0399552400768168\n },\n\
|
102 |
+
\ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.8422018348623853,\n\
|
103 |
+
\ \"acc_stderr\": 0.01563002297009244,\n \"acc_norm\": 0.8422018348623853,\n\
|
104 |
+
\ \"acc_norm_stderr\": 0.01563002297009244\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\
|
105 |
+
: {\n \"acc\": 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n\
|
106 |
+
\ \"acc_norm\": 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n\
|
107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
108 |
+
: 0.8431372549019608,\n \"acc_stderr\": 0.02552472232455334,\n \"\
|
109 |
+
acc_norm\": 0.8431372549019608,\n \"acc_norm_stderr\": 0.02552472232455334\n\
|
110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
111 |
+
acc\": 0.8016877637130801,\n \"acc_stderr\": 0.02595502084162113,\n \
|
112 |
+
\ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.02595502084162113\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.695067264573991,\n\
|
114 |
+
\ \"acc_stderr\": 0.030898610882477515,\n \"acc_norm\": 0.695067264573991,\n\
|
115 |
+
\ \"acc_norm_stderr\": 0.030898610882477515\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
116 |
+
: {\n \"acc\": 0.8091603053435115,\n \"acc_stderr\": 0.03446513350752598,\n\
|
117 |
+
\ \"acc_norm\": 0.8091603053435115,\n \"acc_norm_stderr\": 0.03446513350752598\n\
|
118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
119 |
+
\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\
|
120 |
+
acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\
|
121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\
|
122 |
+
\ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\
|
123 |
+
\ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
124 |
+
: {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.03226219377286774,\n\
|
125 |
+
\ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.03226219377286774\n\
|
126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.41964285714285715,\n\
|
127 |
+
\ \"acc_stderr\": 0.04684099321077106,\n \"acc_norm\": 0.41964285714285715,\n\
|
128 |
+
\ \"acc_norm_stderr\": 0.04684099321077106\n },\n \"harness|hendrycksTest-management|5\"\
|
129 |
+
: {\n \"acc\": 0.7766990291262136,\n \"acc_stderr\": 0.04123553189891431,\n\
|
130 |
+
\ \"acc_norm\": 0.7766990291262136,\n \"acc_norm_stderr\": 0.04123553189891431\n\
|
131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\
|
132 |
+
\ \"acc_stderr\": 0.021262719400406974,\n \"acc_norm\": 0.8803418803418803,\n\
|
133 |
+
\ \"acc_norm_stderr\": 0.021262719400406974\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
134 |
+
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
|
135 |
+
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
|
136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8275862068965517,\n\
|
137 |
+
\ \"acc_stderr\": 0.013507943909371803,\n \"acc_norm\": 0.8275862068965517,\n\
|
138 |
+
\ \"acc_norm_stderr\": 0.013507943909371803\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
139 |
+
: {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.023948512905468358,\n\
|
140 |
+
\ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.023948512905468358\n\
|
141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4245810055865922,\n\
|
142 |
+
\ \"acc_stderr\": 0.016531170993278888,\n \"acc_norm\": 0.4245810055865922,\n\
|
143 |
+
\ \"acc_norm_stderr\": 0.016531170993278888\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
144 |
+
: {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818733,\n\
|
145 |
+
\ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818733\n\
|
146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\
|
147 |
+
\ \"acc_stderr\": 0.025755865922632945,\n \"acc_norm\": 0.7106109324758842,\n\
|
148 |
+
\ \"acc_norm_stderr\": 0.025755865922632945\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
149 |
+
: {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\
|
150 |
+
\ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\n\
|
151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
152 |
+
acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \
|
153 |
+
\ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.47392438070404175,\n\
|
155 |
+
\ \"acc_stderr\": 0.012752858346533127,\n \"acc_norm\": 0.47392438070404175,\n\
|
156 |
+
\ \"acc_norm_stderr\": 0.012752858346533127\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
157 |
+
: {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.028245687391462927,\n\
|
158 |
+
\ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.028245687391462927\n\
|
159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
160 |
+
acc\": 0.6781045751633987,\n \"acc_stderr\": 0.018901015322093092,\n \
|
161 |
+
\ \"acc_norm\": 0.6781045751633987,\n \"acc_norm_stderr\": 0.018901015322093092\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
|
163 |
+
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
|
164 |
+
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
165 |
+
: {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142777,\n\
|
166 |
+
\ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142777\n\
|
167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\
|
168 |
+
\ \"acc_stderr\": 0.025870646766169136,\n \"acc_norm\": 0.8407960199004975,\n\
|
169 |
+
\ \"acc_norm_stderr\": 0.025870646766169136\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
170 |
+
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \
|
171 |
+
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\
|
172 |
+
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\
|
173 |
+
\ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\
|
174 |
+
\ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
175 |
+
: {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\
|
176 |
+
\ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\
|
177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.6242350061199511,\n\
|
178 |
+
\ \"mc1_stderr\": 0.016954584060214287,\n \"mc2\": 0.7725581659437346,\n\
|
179 |
+
\ \"mc2_stderr\": 0.01380134055052962\n },\n \"harness|winogrande|5\"\
|
180 |
+
: {\n \"acc\": 0.8516179952644041,\n \"acc_stderr\": 0.00999070600518414\n\
|
181 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6800606520090978,\n \
|
182 |
+
\ \"acc_stderr\": 0.012848426555240763\n }\n}\n```"
|
183 |
+
repo_url: https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare
|
184 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
185 |
+
point_of_contact: clementine@hf.co
|
186 |
+
configs:
|
187 |
+
- config_name: harness_arc_challenge_25
|
188 |
+
data_files:
|
189 |
+
- split: 2024_02_29T11_22_41.104663
|
190 |
+
path:
|
191 |
+
- '**/details_harness|arc:challenge|25_2024-02-29T11-22-41.104663.parquet'
|
192 |
+
- split: latest
|
193 |
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path:
|
194 |
+
- '**/details_harness|arc:challenge|25_2024-02-29T11-22-41.104663.parquet'
|
195 |
+
- config_name: harness_gsm8k_5
|
196 |
+
data_files:
|
197 |
+
- split: 2024_02_29T11_22_41.104663
|
198 |
+
path:
|
199 |
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- '**/details_harness|gsm8k|5_2024-02-29T11-22-41.104663.parquet'
|
200 |
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- split: latest
|
201 |
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path:
|
202 |
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- '**/details_harness|gsm8k|5_2024-02-29T11-22-41.104663.parquet'
|
203 |
+
- config_name: harness_hellaswag_10
|
204 |
+
data_files:
|
205 |
+
- split: 2024_02_29T11_22_41.104663
|
206 |
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path:
|
207 |
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- '**/details_harness|hellaswag|10_2024-02-29T11-22-41.104663.parquet'
|
208 |
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- split: latest
|
209 |
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path:
|
210 |
+
- '**/details_harness|hellaswag|10_2024-02-29T11-22-41.104663.parquet'
|
211 |
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- config_name: harness_hendrycksTest_5
|
212 |
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data_files:
|
213 |
+
- split: 2024_02_29T11_22_41.104663
|
214 |
+
path:
|
215 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T11-22-41.104663.parquet'
|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
222 |
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|
223 |
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|
224 |
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|
225 |
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|
226 |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-29T11-22-41.104663.parquet'
|
227 |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-29T11-22-41.104663.parquet'
|
228 |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-29T11-22-41.104663.parquet'
|
229 |
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|
230 |
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|
231 |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-29T11-22-41.104663.parquet'
|
232 |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-29T11-22-41.104663.parquet'
|
233 |
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|
234 |
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|
235 |
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|
236 |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-29T11-22-41.104663.parquet'
|
237 |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-29T11-22-41.104663.parquet'
|
238 |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-29T11-22-41.104663.parquet'
|
239 |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-29T11-22-41.104663.parquet'
|
240 |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-29T11-22-41.104663.parquet'
|
241 |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-29T11-22-41.104663.parquet'
|
242 |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-29T11-22-41.104663.parquet'
|
243 |
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|
244 |
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|
245 |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-29T11-22-41.104663.parquet'
|
246 |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-29T11-22-41.104663.parquet'
|
247 |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-29T11-22-41.104663.parquet'
|
248 |
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|
249 |
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|
250 |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-29T11-22-41.104663.parquet'
|
251 |
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|
252 |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-29T11-22-41.104663.parquet'
|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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|
259 |
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|
260 |
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|
261 |
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|
262 |
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|
263 |
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|
265 |
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|
266 |
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|
267 |
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|
268 |
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|
269 |
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|
270 |
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|
271 |
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|
272 |
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- split: latest
|
273 |
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path:
|
274 |
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|
275 |
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|
276 |
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|
277 |
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|
278 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T11-22-41.104663.parquet'
|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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|
285 |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-29T11-22-41.104663.parquet'
|
286 |
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|
287 |
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|
288 |
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|
289 |
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|
290 |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-29T11-22-41.104663.parquet'
|
291 |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-29T11-22-41.104663.parquet'
|
292 |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-29T11-22-41.104663.parquet'
|
293 |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-29T11-22-41.104663.parquet'
|
294 |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-29T11-22-41.104663.parquet'
|
295 |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-29T11-22-41.104663.parquet'
|
296 |
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|
297 |
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|
298 |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-29T11-22-41.104663.parquet'
|
299 |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-29T11-22-41.104663.parquet'
|
300 |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-29T11-22-41.104663.parquet'
|
301 |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-29T11-22-41.104663.parquet'
|
302 |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-29T11-22-41.104663.parquet'
|
303 |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-29T11-22-41.104663.parquet'
|
304 |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-29T11-22-41.104663.parquet'
|
305 |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-29T11-22-41.104663.parquet'
|
306 |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-29T11-22-41.104663.parquet'
|
307 |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-29T11-22-41.104663.parquet'
|
308 |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-29T11-22-41.104663.parquet'
|
309 |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-29T11-22-41.104663.parquet'
|
310 |
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|
311 |
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|
312 |
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- '**/details_harness|hendrycksTest-management|5_2024-02-29T11-22-41.104663.parquet'
|
313 |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-29T11-22-41.104663.parquet'
|
314 |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-29T11-22-41.104663.parquet'
|
315 |
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|
316 |
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|
317 |
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|
318 |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-29T11-22-41.104663.parquet'
|
319 |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-29T11-22-41.104663.parquet'
|
320 |
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|
321 |
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|
322 |
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|
323 |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-29T11-22-41.104663.parquet'
|
324 |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T11-22-41.104663.parquet'
|
325 |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T11-22-41.104663.parquet'
|
326 |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T11-22-41.104663.parquet'
|
327 |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T11-22-41.104663.parquet'
|
328 |
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|
329 |
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|
330 |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T11-22-41.104663.parquet'
|
331 |
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- config_name: harness_hendrycksTest_abstract_algebra_5
|
332 |
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data_files:
|
333 |
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- split: 2024_02_29T11_22_41.104663
|
334 |
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path:
|
335 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T11-22-41.104663.parquet'
|
336 |
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- split: latest
|
337 |
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path:
|
338 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-29T11-22-41.104663.parquet'
|
339 |
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- config_name: harness_hendrycksTest_anatomy_5
|
340 |
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data_files:
|
341 |
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- split: 2024_02_29T11_22_41.104663
|
342 |
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path:
|
343 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T11-22-41.104663.parquet'
|
344 |
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- split: latest
|
345 |
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path:
|
346 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-29T11-22-41.104663.parquet'
|
347 |
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- config_name: harness_hendrycksTest_astronomy_5
|
348 |
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data_files:
|
349 |
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- split: 2024_02_29T11_22_41.104663
|
350 |
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path:
|
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|
352 |
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- split: latest
|
353 |
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path:
|
354 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-29T11-22-41.104663.parquet'
|
355 |
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- config_name: harness_hendrycksTest_business_ethics_5
|
356 |
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data_files:
|
357 |
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- split: 2024_02_29T11_22_41.104663
|
358 |
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path:
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T11-22-41.104663.parquet'
|
360 |
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- split: latest
|
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path:
|
362 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-29T11-22-41.104663.parquet'
|
363 |
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- config_name: harness_hendrycksTest_clinical_knowledge_5
|
364 |
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data_files:
|
365 |
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- split: 2024_02_29T11_22_41.104663
|
366 |
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path:
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T11-22-41.104663.parquet'
|
368 |
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- split: latest
|
369 |
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path:
|
370 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-29T11-22-41.104663.parquet'
|
371 |
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- config_name: harness_hendrycksTest_college_biology_5
|
372 |
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data_files:
|
373 |
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- split: 2024_02_29T11_22_41.104663
|
374 |
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path:
|
375 |
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|
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|
377 |
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|
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-29T11-22-41.104663.parquet'
|
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|
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|
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|
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|
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|
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|
385 |
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|
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-29T11-22-41.104663.parquet'
|
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|
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|
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|
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|
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|
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|
393 |
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|
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|
395 |
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- config_name: harness_hendrycksTest_college_mathematics_5
|
396 |
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|
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|
398 |
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|
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|
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|
401 |
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|
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|
403 |
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|
404 |
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|
405 |
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|
406 |
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|
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|
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|
409 |
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|
410 |
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|
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|
412 |
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|
413 |
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|
414 |
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|
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|
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|
417 |
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|
418 |
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|
419 |
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|
420 |
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|
421 |
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|
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|
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|
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|
425 |
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|
426 |
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|
427 |
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|
428 |
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|
429 |
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|
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|
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|
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|
433 |
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|
434 |
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|
435 |
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|
436 |
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|
437 |
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|
438 |
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|
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|
441 |
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|
442 |
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|
443 |
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|
444 |
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|
445 |
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|
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|
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|
448 |
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|
449 |
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|
450 |
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|
451 |
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|
452 |
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|
453 |
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|
454 |
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|
455 |
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|
456 |
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|
457 |
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|
458 |
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|
459 |
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|
460 |
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|
461 |
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|
462 |
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|
463 |
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|
464 |
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|
465 |
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|
466 |
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|
467 |
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|
468 |
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|
469 |
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|
470 |
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|
472 |
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|
473 |
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|
474 |
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|
475 |
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|
476 |
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|
477 |
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|
478 |
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479 |
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|
480 |
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|
481 |
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|
482 |
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|
483 |
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|
484 |
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|
485 |
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|
486 |
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487 |
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|
488 |
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
494 |
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495 |
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|
496 |
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
503 |
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|
504 |
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|
505 |
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|
506 |
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|
507 |
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|
508 |
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|
509 |
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|
510 |
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|
511 |
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|
512 |
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|
513 |
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|
514 |
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|
515 |
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|
516 |
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|
517 |
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|
518 |
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|
519 |
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|
520 |
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|
521 |
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|
522 |
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|
523 |
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|
524 |
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|
525 |
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|
526 |
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|
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|
528 |
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|
529 |
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|
530 |
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|
531 |
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|
532 |
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|
533 |
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|
534 |
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535 |
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|
536 |
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|
537 |
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|
538 |
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|
539 |
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|
540 |
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|
541 |
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|
542 |
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|
544 |
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|
545 |
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|
546 |
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|
547 |
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|
548 |
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|
549 |
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|
550 |
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551 |
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|
552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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|
557 |
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|
558 |
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559 |
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|
560 |
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|
561 |
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|
562 |
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|
563 |
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|
564 |
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|
565 |
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|
566 |
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|
568 |
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|
569 |
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|
570 |
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|
571 |
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|
572 |
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|
573 |
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|
574 |
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|
576 |
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|
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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|
584 |
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|
585 |
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|
586 |
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|
587 |
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|
588 |
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|
589 |
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|
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|
592 |
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|
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|
594 |
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|
595 |
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|
596 |
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|
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|
598 |
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|
600 |
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|
601 |
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
608 |
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|
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|
610 |
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|
611 |
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|
612 |
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|
613 |
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|
614 |
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|
616 |
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|
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618 |
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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623 |
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|
624 |
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|
625 |
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626 |
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|
627 |
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|
628 |
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|
629 |
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|
630 |
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631 |
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|
632 |
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|
633 |
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|
634 |
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|
635 |
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|
636 |
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|
637 |
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|
638 |
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|
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|
641 |
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|
642 |
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|
643 |
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|
644 |
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|
645 |
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|
646 |
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|
647 |
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|
648 |
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|
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|
650 |
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|
651 |
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|
652 |
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|
653 |
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|
654 |
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|
655 |
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|
656 |
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|
657 |
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|
658 |
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|
659 |
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|
660 |
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|
661 |
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|
662 |
+
path:
|
663 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-29T11-22-41.104663.parquet'
|
664 |
+
- split: latest
|
665 |
+
path:
|
666 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-29T11-22-41.104663.parquet'
|
667 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
668 |
+
data_files:
|
669 |
+
- split: 2024_02_29T11_22_41.104663
|
670 |
+
path:
|
671 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-29T11-22-41.104663.parquet'
|
672 |
+
- split: latest
|
673 |
+
path:
|
674 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-29T11-22-41.104663.parquet'
|
675 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
676 |
+
data_files:
|
677 |
+
- split: 2024_02_29T11_22_41.104663
|
678 |
+
path:
|
679 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-29T11-22-41.104663.parquet'
|
680 |
+
- split: latest
|
681 |
+
path:
|
682 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-29T11-22-41.104663.parquet'
|
683 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
684 |
+
data_files:
|
685 |
+
- split: 2024_02_29T11_22_41.104663
|
686 |
+
path:
|
687 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-29T11-22-41.104663.parquet'
|
688 |
+
- split: latest
|
689 |
+
path:
|
690 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-29T11-22-41.104663.parquet'
|
691 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
692 |
+
data_files:
|
693 |
+
- split: 2024_02_29T11_22_41.104663
|
694 |
+
path:
|
695 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-29T11-22-41.104663.parquet'
|
696 |
+
- split: latest
|
697 |
+
path:
|
698 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-29T11-22-41.104663.parquet'
|
699 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
700 |
+
data_files:
|
701 |
+
- split: 2024_02_29T11_22_41.104663
|
702 |
+
path:
|
703 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-29T11-22-41.104663.parquet'
|
704 |
+
- split: latest
|
705 |
+
path:
|
706 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-29T11-22-41.104663.parquet'
|
707 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
708 |
+
data_files:
|
709 |
+
- split: 2024_02_29T11_22_41.104663
|
710 |
+
path:
|
711 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-29T11-22-41.104663.parquet'
|
712 |
+
- split: latest
|
713 |
+
path:
|
714 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-29T11-22-41.104663.parquet'
|
715 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
716 |
+
data_files:
|
717 |
+
- split: 2024_02_29T11_22_41.104663
|
718 |
+
path:
|
719 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-29T11-22-41.104663.parquet'
|
720 |
+
- split: latest
|
721 |
+
path:
|
722 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-29T11-22-41.104663.parquet'
|
723 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
724 |
+
data_files:
|
725 |
+
- split: 2024_02_29T11_22_41.104663
|
726 |
+
path:
|
727 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-29T11-22-41.104663.parquet'
|
728 |
+
- split: latest
|
729 |
+
path:
|
730 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-29T11-22-41.104663.parquet'
|
731 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
732 |
+
data_files:
|
733 |
+
- split: 2024_02_29T11_22_41.104663
|
734 |
+
path:
|
735 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T11-22-41.104663.parquet'
|
736 |
+
- split: latest
|
737 |
+
path:
|
738 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-29T11-22-41.104663.parquet'
|
739 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
740 |
+
data_files:
|
741 |
+
- split: 2024_02_29T11_22_41.104663
|
742 |
+
path:
|
743 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T11-22-41.104663.parquet'
|
744 |
+
- split: latest
|
745 |
+
path:
|
746 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-29T11-22-41.104663.parquet'
|
747 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
748 |
+
data_files:
|
749 |
+
- split: 2024_02_29T11_22_41.104663
|
750 |
+
path:
|
751 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T11-22-41.104663.parquet'
|
752 |
+
- split: latest
|
753 |
+
path:
|
754 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-29T11-22-41.104663.parquet'
|
755 |
+
- config_name: harness_hendrycksTest_sociology_5
|
756 |
+
data_files:
|
757 |
+
- split: 2024_02_29T11_22_41.104663
|
758 |
+
path:
|
759 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T11-22-41.104663.parquet'
|
760 |
+
- split: latest
|
761 |
+
path:
|
762 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-02-29T11-22-41.104663.parquet'
|
763 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
764 |
+
data_files:
|
765 |
+
- split: 2024_02_29T11_22_41.104663
|
766 |
+
path:
|
767 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T11-22-41.104663.parquet'
|
768 |
+
- split: latest
|
769 |
+
path:
|
770 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-29T11-22-41.104663.parquet'
|
771 |
+
- config_name: harness_hendrycksTest_virology_5
|
772 |
+
data_files:
|
773 |
+
- split: 2024_02_29T11_22_41.104663
|
774 |
+
path:
|
775 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-02-29T11-22-41.104663.parquet'
|
776 |
+
- split: latest
|
777 |
+
path:
|
778 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-02-29T11-22-41.104663.parquet'
|
779 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
780 |
+
data_files:
|
781 |
+
- split: 2024_02_29T11_22_41.104663
|
782 |
+
path:
|
783 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T11-22-41.104663.parquet'
|
784 |
+
- split: latest
|
785 |
+
path:
|
786 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-29T11-22-41.104663.parquet'
|
787 |
+
- config_name: harness_truthfulqa_mc_0
|
788 |
+
data_files:
|
789 |
+
- split: 2024_02_29T11_22_41.104663
|
790 |
+
path:
|
791 |
+
- '**/details_harness|truthfulqa:mc|0_2024-02-29T11-22-41.104663.parquet'
|
792 |
+
- split: latest
|
793 |
+
path:
|
794 |
+
- '**/details_harness|truthfulqa:mc|0_2024-02-29T11-22-41.104663.parquet'
|
795 |
+
- config_name: harness_winogrande_5
|
796 |
+
data_files:
|
797 |
+
- split: 2024_02_29T11_22_41.104663
|
798 |
+
path:
|
799 |
+
- '**/details_harness|winogrande|5_2024-02-29T11-22-41.104663.parquet'
|
800 |
+
- split: latest
|
801 |
+
path:
|
802 |
+
- '**/details_harness|winogrande|5_2024-02-29T11-22-41.104663.parquet'
|
803 |
+
- config_name: results
|
804 |
+
data_files:
|
805 |
+
- split: 2024_02_29T11_22_41.104663
|
806 |
+
path:
|
807 |
+
- results_2024-02-29T11-22-41.104663.parquet
|
808 |
+
- split: latest
|
809 |
+
path:
|
810 |
+
- results_2024-02-29T11-22-41.104663.parquet
|
811 |
+
---
|
812 |
+
|
813 |
+
# Dataset Card for Evaluation run of CorticalStack/pastiche-crown-clown-7b-dare
|
814 |
+
|
815 |
+
<!-- Provide a quick summary of the dataset. -->
|
816 |
+
|
817 |
+
Dataset automatically created during the evaluation run of model [CorticalStack/pastiche-crown-clown-7b-dare](https://huggingface.co/CorticalStack/pastiche-crown-clown-7b-dare) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
818 |
+
|
819 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
820 |
+
|
821 |
+
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.
|
822 |
+
|
823 |
+
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)).
|
824 |
+
|
825 |
+
To load the details from a run, you can for instance do the following:
|
826 |
+
```python
|
827 |
+
from datasets import load_dataset
|
828 |
+
data = load_dataset("open-llm-leaderboard/details_CorticalStack__pastiche-crown-clown-7b-dare",
|
829 |
+
"harness_winogrande_5",
|
830 |
+
split="train")
|
831 |
+
```
|
832 |
+
|
833 |
+
## Latest results
|
834 |
+
|
835 |
+
These are the [latest results from run 2024-02-29T11:22:41.104663](https://huggingface.co/datasets/open-llm-leaderboard/details_CorticalStack__pastiche-crown-clown-7b-dare/blob/main/results_2024-02-29T11-22-41.104663.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):
|
836 |
+
|
837 |
+
```python
|
838 |
+
{
|
839 |
+
"all": {
|
840 |
+
"acc": 0.6533455196286904,
|
841 |
+
"acc_stderr": 0.03205109514509481,
|
842 |
+
"acc_norm": 0.6527878751041697,
|
843 |
+
"acc_norm_stderr": 0.03272288859268575,
|
844 |
+
"mc1": 0.6242350061199511,
|
845 |
+
"mc1_stderr": 0.016954584060214287,
|
846 |
+
"mc2": 0.7725581659437346,
|
847 |
+
"mc2_stderr": 0.01380134055052962
|
848 |
+
},
|
849 |
+
"harness|arc:challenge|25": {
|
850 |
+
"acc": 0.71160409556314,
|
851 |
+
"acc_stderr": 0.013238394422428173,
|
852 |
+
"acc_norm": 0.7295221843003413,
|
853 |
+
"acc_norm_stderr": 0.012980954547659556
|
854 |
+
},
|
855 |
+
"harness|hellaswag|10": {
|
856 |
+
"acc": 0.7146982672774348,
|
857 |
+
"acc_stderr": 0.004506351723820961,
|
858 |
+
"acc_norm": 0.8888667596096396,
|
859 |
+
"acc_norm_stderr": 0.003136547276689892
|
860 |
+
},
|
861 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
862 |
+
"acc": 0.35,
|
863 |
+
"acc_stderr": 0.047937248544110196,
|
864 |
+
"acc_norm": 0.35,
|
865 |
+
"acc_norm_stderr": 0.047937248544110196
|
866 |
+
},
|
867 |
+
"harness|hendrycksTest-anatomy|5": {
|
868 |
+
"acc": 0.6370370370370371,
|
869 |
+
"acc_stderr": 0.04153948404742398,
|
870 |
+
"acc_norm": 0.6370370370370371,
|
871 |
+
"acc_norm_stderr": 0.04153948404742398
|
872 |
+
},
|
873 |
+
"harness|hendrycksTest-astronomy|5": {
|
874 |
+
"acc": 0.7105263157894737,
|
875 |
+
"acc_stderr": 0.03690677986137283,
|
876 |
+
"acc_norm": 0.7105263157894737,
|
877 |
+
"acc_norm_stderr": 0.03690677986137283
|
878 |
+
},
|
879 |
+
"harness|hendrycksTest-business_ethics|5": {
|
880 |
+
"acc": 0.64,
|
881 |
+
"acc_stderr": 0.04824181513244218,
|
882 |
+
"acc_norm": 0.64,
|
883 |
+
"acc_norm_stderr": 0.04824181513244218
|
884 |
+
},
|
885 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
886 |
+
"acc": 0.7018867924528301,
|
887 |
+
"acc_stderr": 0.02815283794249386,
|
888 |
+
"acc_norm": 0.7018867924528301,
|
889 |
+
"acc_norm_stderr": 0.02815283794249386
|
890 |
+
},
|
891 |
+
"harness|hendrycksTest-college_biology|5": {
|
892 |
+
"acc": 0.7847222222222222,
|
893 |
+
"acc_stderr": 0.03437079344106135,
|
894 |
+
"acc_norm": 0.7847222222222222,
|
895 |
+
"acc_norm_stderr": 0.03437079344106135
|
896 |
+
},
|
897 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
898 |
+
"acc": 0.5,
|
899 |
+
"acc_stderr": 0.050251890762960605,
|
900 |
+
"acc_norm": 0.5,
|
901 |
+
"acc_norm_stderr": 0.050251890762960605
|
902 |
+
},
|
903 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
904 |
+
"acc": 0.54,
|
905 |
+
"acc_stderr": 0.05009082659620333,
|
906 |
+
"acc_norm": 0.54,
|
907 |
+
"acc_norm_stderr": 0.05009082659620333
|
908 |
+
},
|
909 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
910 |
+
"acc": 0.31,
|
911 |
+
"acc_stderr": 0.04648231987117316,
|
912 |
+
"acc_norm": 0.31,
|
913 |
+
"acc_norm_stderr": 0.04648231987117316
|
914 |
+
},
|
915 |
+
"harness|hendrycksTest-college_medicine|5": {
|
916 |
+
"acc": 0.6705202312138728,
|
917 |
+
"acc_stderr": 0.03583901754736412,
|
918 |
+
"acc_norm": 0.6705202312138728,
|
919 |
+
"acc_norm_stderr": 0.03583901754736412
|
920 |
+
},
|
921 |
+
"harness|hendrycksTest-college_physics|5": {
|
922 |
+
"acc": 0.39215686274509803,
|
923 |
+
"acc_stderr": 0.048580835742663454,
|
924 |
+
"acc_norm": 0.39215686274509803,
|
925 |
+
"acc_norm_stderr": 0.048580835742663454
|
926 |
+
},
|
927 |
+
"harness|hendrycksTest-computer_security|5": {
|
928 |
+
"acc": 0.75,
|
929 |
+
"acc_stderr": 0.04351941398892446,
|
930 |
+
"acc_norm": 0.75,
|
931 |
+
"acc_norm_stderr": 0.04351941398892446
|
932 |
+
},
|
933 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
934 |
+
"acc": 0.5531914893617021,
|
935 |
+
"acc_stderr": 0.0325005368436584,
|
936 |
+
"acc_norm": 0.5531914893617021,
|
937 |
+
"acc_norm_stderr": 0.0325005368436584
|
938 |
+
},
|
939 |
+
"harness|hendrycksTest-econometrics|5": {
|
940 |
+
"acc": 0.47368421052631576,
|
941 |
+
"acc_stderr": 0.046970851366478626,
|
942 |
+
"acc_norm": 0.47368421052631576,
|
943 |
+
"acc_norm_stderr": 0.046970851366478626
|
944 |
+
},
|
945 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
946 |
+
"acc": 0.5724137931034483,
|
947 |
+
"acc_stderr": 0.04122737111370332,
|
948 |
+
"acc_norm": 0.5724137931034483,
|
949 |
+
"acc_norm_stderr": 0.04122737111370332
|
950 |
+
},
|
951 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
952 |
+
"acc": 0.41005291005291006,
|
953 |
+
"acc_stderr": 0.025331202438944433,
|
954 |
+
"acc_norm": 0.41005291005291006,
|
955 |
+
"acc_norm_stderr": 0.025331202438944433
|
956 |
+
},
|
957 |
+
"harness|hendrycksTest-formal_logic|5": {
|
958 |
+
"acc": 0.4444444444444444,
|
959 |
+
"acc_stderr": 0.044444444444444495,
|
960 |
+
"acc_norm": 0.4444444444444444,
|
961 |
+
"acc_norm_stderr": 0.044444444444444495
|
962 |
+
},
|
963 |
+
"harness|hendrycksTest-global_facts|5": {
|
964 |
+
"acc": 0.33,
|
965 |
+
"acc_stderr": 0.04725815626252604,
|
966 |
+
"acc_norm": 0.33,
|
967 |
+
"acc_norm_stderr": 0.04725815626252604
|
968 |
+
},
|
969 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
970 |
+
"acc": 0.7741935483870968,
|
971 |
+
"acc_stderr": 0.023785577884181015,
|
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},
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},
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1100 |
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},
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1103 |
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},
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"harness|hendrycksTest-miscellaneous|5": {
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"acc": 0.8275862068965517,
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},
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"harness|hendrycksTest-moral_disputes|5": {
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},
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"harness|hendrycksTest-moral_scenarios|5": {
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1120 |
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"acc": 0.4245810055865922,
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1124 |
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},
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1125 |
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"harness|hendrycksTest-nutrition|5": {
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1126 |
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"acc": 0.7189542483660131,
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1130 |
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},
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"harness|hendrycksTest-philosophy|5": {
|
1132 |
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"acc": 0.7106109324758842,
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},
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"harness|hendrycksTest-prehistory|5": {
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1138 |
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"acc": 0.7376543209876543,
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1142 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
|
1144 |
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"acc": 0.49645390070921985,
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1148 |
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},
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"harness|hendrycksTest-professional_law|5": {
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1150 |
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"acc": 0.47392438070404175,
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1151 |
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1154 |
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},
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"harness|hendrycksTest-professional_medicine|5": {
|
1156 |
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"acc": 0.6838235294117647,
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1160 |
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},
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1161 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1162 |
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"acc": 0.6781045751633987,
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1163 |
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1165 |
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"acc_norm_stderr": 0.018901015322093092
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1166 |
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},
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1167 |
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"harness|hendrycksTest-public_relations|5": {
|
1168 |
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"acc": 0.6727272727272727,
|
1169 |
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1171 |
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1172 |
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},
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1173 |
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"harness|hendrycksTest-security_studies|5": {
|
1174 |
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"acc": 0.7387755102040816,
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1175 |
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1177 |
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1178 |
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},
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1179 |
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"harness|hendrycksTest-sociology|5": {
|
1180 |
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"acc": 0.8407960199004975,
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1181 |
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1184 |
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},
|
1185 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1186 |
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"acc": 0.85,
|
1187 |
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1188 |
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"acc_norm": 0.85,
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1189 |
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"acc_norm_stderr": 0.0358870281282637
|
1190 |
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},
|
1191 |
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"harness|hendrycksTest-virology|5": {
|
1192 |
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"acc": 0.5662650602409639,
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1193 |
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1195 |
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1196 |
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},
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1197 |
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"harness|hendrycksTest-world_religions|5": {
|
1198 |
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|
1199 |
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1200 |
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|
1201 |
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|
1202 |
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},
|
1203 |
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"harness|truthfulqa:mc|0": {
|
1204 |
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"mc1": 0.6242350061199511,
|
1205 |
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|
1206 |
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"mc2": 0.7725581659437346,
|
1207 |
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"mc2_stderr": 0.01380134055052962
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1208 |
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},
|
1209 |
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"harness|winogrande|5": {
|
1210 |
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"acc": 0.8516179952644041,
|
1211 |
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"acc_stderr": 0.00999070600518414
|
1212 |
+
},
|
1213 |
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"harness|gsm8k|5": {
|
1214 |
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"acc": 0.6800606520090978,
|
1215 |
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"acc_stderr": 0.012848426555240763
|
1216 |
+
}
|
1217 |
+
}
|
1218 |
+
```
|
1219 |
+
|
1220 |
+
## Dataset Details
|
1221 |
+
|
1222 |
+
### Dataset Description
|
1223 |
+
|
1224 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
1225 |
+
|
1226 |
+
|
1227 |
+
|
1228 |
+
- **Curated by:** [More Information Needed]
|
1229 |
+
- **Funded by [optional]:** [More Information Needed]
|
1230 |
+
- **Shared by [optional]:** [More Information Needed]
|
1231 |
+
- **Language(s) (NLP):** [More Information Needed]
|
1232 |
+
- **License:** [More Information Needed]
|
1233 |
+
|
1234 |
+
### Dataset Sources [optional]
|
1235 |
+
|
1236 |
+
<!-- Provide the basic links for the dataset. -->
|
1237 |
+
|
1238 |
+
- **Repository:** [More Information Needed]
|
1239 |
+
- **Paper [optional]:** [More Information Needed]
|
1240 |
+
- **Demo [optional]:** [More Information Needed]
|
1241 |
+
|
1242 |
+
## Uses
|
1243 |
+
|
1244 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
1245 |
+
|
1246 |
+
### Direct Use
|
1247 |
+
|
1248 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
1249 |
+
|
1250 |
+
[More Information Needed]
|
1251 |
+
|
1252 |
+
### Out-of-Scope Use
|
1253 |
+
|
1254 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
1255 |
+
|
1256 |
+
[More Information Needed]
|
1257 |
+
|
1258 |
+
## Dataset Structure
|
1259 |
+
|
1260 |
+
<!-- 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. -->
|
1261 |
+
|
1262 |
+
[More Information Needed]
|
1263 |
+
|
1264 |
+
## Dataset Creation
|
1265 |
+
|
1266 |
+
### Curation Rationale
|
1267 |
+
|
1268 |
+
<!-- Motivation for the creation of this dataset. -->
|
1269 |
+
|
1270 |
+
[More Information Needed]
|
1271 |
+
|
1272 |
+
### Source Data
|
1273 |
+
|
1274 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
1275 |
+
|
1276 |
+
#### Data Collection and Processing
|
1277 |
+
|
1278 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
1279 |
+
|
1280 |
+
[More Information Needed]
|
1281 |
+
|
1282 |
+
#### Who are the source data producers?
|
1283 |
+
|
1284 |
+
<!-- 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. -->
|
1285 |
+
|
1286 |
+
[More Information Needed]
|
1287 |
+
|
1288 |
+
### Annotations [optional]
|
1289 |
+
|
1290 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
1291 |
+
|
1292 |
+
#### Annotation process
|
1293 |
+
|
1294 |
+
<!-- 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. -->
|
1295 |
+
|
1296 |
+
[More Information Needed]
|
1297 |
+
|
1298 |
+
#### Who are the annotators?
|
1299 |
+
|
1300 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
1301 |
+
|
1302 |
+
[More Information Needed]
|
1303 |
+
|
1304 |
+
#### Personal and Sensitive Information
|
1305 |
+
|
1306 |
+
<!-- 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. -->
|
1307 |
+
|
1308 |
+
[More Information Needed]
|
1309 |
+
|
1310 |
+
## Bias, Risks, and Limitations
|
1311 |
+
|
1312 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
1313 |
+
|
1314 |
+
[More Information Needed]
|
1315 |
+
|
1316 |
+
### Recommendations
|
1317 |
+
|
1318 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
1319 |
+
|
1320 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
1321 |
+
|
1322 |
+
## Citation [optional]
|
1323 |
+
|
1324 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
1325 |
+
|
1326 |
+
**BibTeX:**
|
1327 |
+
|
1328 |
+
[More Information Needed]
|
1329 |
+
|
1330 |
+
**APA:**
|
1331 |
+
|
1332 |
+
[More Information Needed]
|
1333 |
+
|
1334 |
+
## Glossary [optional]
|
1335 |
+
|
1336 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
1337 |
+
|
1338 |
+
[More Information Needed]
|
1339 |
+
|
1340 |
+
## More Information [optional]
|
1341 |
+
|
1342 |
+
[More Information Needed]
|
1343 |
+
|
1344 |
+
## Dataset Card Authors [optional]
|
1345 |
+
|
1346 |
+
[More Information Needed]
|
1347 |
+
|
1348 |
+
## Dataset Card Contact
|
1349 |
+
|
1350 |
+
[More Information Needed]
|