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README.md
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1 |
+
---
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pretty_name: Evaluation run of AA051610/AZG
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [AA051610/AZG](https://huggingface.co/AA051610/AZG) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
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\ found as a specific split in each configuration, the split being named using the\
|
8 |
+
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
9 |
+
\nAn additional configuration \"results\" store all the aggregated results of the\
|
10 |
+
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
|
11 |
+
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
12 |
+
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
13 |
+
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_AA051610__AZG\"\
|
14 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
15 |
+
These are the [latest results from run 2023-12-09T22:11:18.691101](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__AZG/blob/main/results_2023-12-09T22-11-18.691101.json)(note\
|
16 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
17 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
18 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6997224830510826,\n\
|
19 |
+
\ \"acc_stderr\": 0.03037702672483155,\n \"acc_norm\": 0.7036495225534056,\n\
|
20 |
+
\ \"acc_norm_stderr\": 0.030966589072480434,\n \"mc1\": 0.38310893512851896,\n\
|
21 |
+
\ \"mc1_stderr\": 0.017018461679389855,\n \"mc2\": 0.538427969031974,\n\
|
22 |
+
\ \"mc2_stderr\": 0.015499026242399048\n },\n \"harness|arc:challenge|25\"\
|
23 |
+
: {\n \"acc\": 0.5981228668941979,\n \"acc_stderr\": 0.014327268614578274,\n\
|
24 |
+
\ \"acc_norm\": 0.628839590443686,\n \"acc_norm_stderr\": 0.014117971901142822\n\
|
25 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.619398526190002,\n\
|
26 |
+
\ \"acc_stderr\": 0.0048454245247640405,\n \"acc_norm\": 0.8201553475403306,\n\
|
27 |
+
\ \"acc_norm_stderr\": 0.003832731017592104\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
28 |
+
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \
|
29 |
+
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \
|
30 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
|
31 |
+
\ \"acc_stderr\": 0.04188307537595853,\n \"acc_norm\": 0.6222222222222222,\n\
|
32 |
+
\ \"acc_norm_stderr\": 0.04188307537595853\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
33 |
+
: {\n \"acc\": 0.8289473684210527,\n \"acc_stderr\": 0.030643607071677088,\n\
|
34 |
+
\ \"acc_norm\": 0.8289473684210527,\n \"acc_norm_stderr\": 0.030643607071677088\n\
|
35 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.75,\n\
|
36 |
+
\ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n \
|
37 |
+
\ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
38 |
+
: {\n \"acc\": 0.7358490566037735,\n \"acc_stderr\": 0.027134291628741706,\n\
|
39 |
+
\ \"acc_norm\": 0.7358490566037735,\n \"acc_norm_stderr\": 0.027134291628741706\n\
|
40 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7986111111111112,\n\
|
41 |
+
\ \"acc_stderr\": 0.033536474697138406,\n \"acc_norm\": 0.7986111111111112,\n\
|
42 |
+
\ \"acc_norm_stderr\": 0.033536474697138406\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
43 |
+
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
|
44 |
+
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
|
45 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
|
46 |
+
acc\": 0.64,\n \"acc_stderr\": 0.048241815132442176,\n \"acc_norm\"\
|
47 |
+
: 0.64,\n \"acc_norm_stderr\": 0.048241815132442176\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
48 |
+
: {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \
|
49 |
+
\ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \
|
50 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n\
|
51 |
+
\ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\
|
52 |
+
\ \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
53 |
+
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\
|
54 |
+
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\
|
55 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
56 |
+
\ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\
|
57 |
+
\ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
58 |
+
: {\n \"acc\": 0.7063829787234043,\n \"acc_stderr\": 0.029771642712491227,\n\
|
59 |
+
\ \"acc_norm\": 0.7063829787234043,\n \"acc_norm_stderr\": 0.029771642712491227\n\
|
60 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.543859649122807,\n\
|
61 |
+
\ \"acc_stderr\": 0.046854730419077895,\n \"acc_norm\": 0.543859649122807,\n\
|
62 |
+
\ \"acc_norm_stderr\": 0.046854730419077895\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
63 |
+
: {\n \"acc\": 0.7103448275862069,\n \"acc_stderr\": 0.03780019230438015,\n\
|
64 |
+
\ \"acc_norm\": 0.7103448275862069,\n \"acc_norm_stderr\": 0.03780019230438015\n\
|
65 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
66 |
+
: 0.5423280423280423,\n \"acc_stderr\": 0.02565886886205833,\n \"\
|
67 |
+
acc_norm\": 0.5423280423280423,\n \"acc_norm_stderr\": 0.02565886886205833\n\
|
68 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\
|
69 |
+
\ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\
|
70 |
+
\ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
71 |
+
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.049999999999999996,\n \
|
72 |
+
\ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.049999999999999996\n \
|
73 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
|
74 |
+
: 0.8387096774193549,\n \"acc_stderr\": 0.020923327006423298,\n \"\
|
75 |
+
acc_norm\": 0.8387096774193549,\n \"acc_norm_stderr\": 0.020923327006423298\n\
|
76 |
+
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
|
77 |
+
: 0.5665024630541872,\n \"acc_stderr\": 0.03486731727419872,\n \"\
|
78 |
+
acc_norm\": 0.5665024630541872,\n \"acc_norm_stderr\": 0.03486731727419872\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \"acc_norm\"\
|
81 |
+
: 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.7878787878787878,\n \"acc_stderr\": 0.03192271569548301,\n\
|
83 |
+
\ \"acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.03192271569548301\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.8939393939393939,\n \"acc_stderr\": 0.021938047738853113,\n \"\
|
86 |
+
acc_norm\": 0.8939393939393939,\n \"acc_norm_stderr\": 0.021938047738853113\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.9326424870466321,\n \"acc_stderr\": 0.018088393839078912,\n\
|
89 |
+
\ \"acc_norm\": 0.9326424870466321,\n \"acc_norm_stderr\": 0.018088393839078912\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.7538461538461538,\n \"acc_stderr\": 0.021840866990423084,\n\
|
92 |
+
\ \"acc_norm\": 0.7538461538461538,\n \"acc_norm_stderr\": 0.021840866990423084\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.34814814814814815,\n \"acc_stderr\": 0.02904560029061626,\n \
|
95 |
+
\ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.02904560029061626\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.7983193277310925,\n \"acc_stderr\": 0.026064313406304527,\n\
|
98 |
+
\ \"acc_norm\": 0.7983193277310925,\n \"acc_norm_stderr\": 0.026064313406304527\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.4304635761589404,\n \"acc_stderr\": 0.04042809961395634,\n \"\
|
101 |
+
acc_norm\": 0.4304635761589404,\n \"acc_norm_stderr\": 0.04042809961395634\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.8862385321100917,\n \"acc_stderr\": 0.013613614800232808,\n \"\
|
104 |
+
acc_norm\": 0.8862385321100917,\n \"acc_norm_stderr\": 0.013613614800232808\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\
|
107 |
+
acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.8823529411764706,\n \"acc_stderr\": 0.022613286601132012,\n \"\
|
110 |
+
acc_norm\": 0.8823529411764706,\n \"acc_norm_stderr\": 0.022613286601132012\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.8818565400843882,\n \"acc_stderr\": 0.021011052659878463,\n \
|
113 |
+
\ \"acc_norm\": 0.8818565400843882,\n \"acc_norm_stderr\": 0.021011052659878463\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.757847533632287,\n\
|
115 |
+
\ \"acc_stderr\": 0.028751392398694755,\n \"acc_norm\": 0.757847533632287,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.028751392398694755\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.8625954198473282,\n \"acc_stderr\": 0.030194823996804475,\n\
|
118 |
+
\ \"acc_norm\": 0.8625954198473282,\n \"acc_norm_stderr\": 0.030194823996804475\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.8264462809917356,\n \"acc_stderr\": 0.03457272836917669,\n \"\
|
121 |
+
acc_norm\": 0.8264462809917356,\n \"acc_norm_stderr\": 0.03457272836917669\n\
|
122 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8703703703703703,\n\
|
123 |
+
\ \"acc_stderr\": 0.032472243899179465,\n \"acc_norm\": 0.8703703703703703,\n\
|
124 |
+
\ \"acc_norm_stderr\": 0.032472243899179465\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.8220858895705522,\n \"acc_stderr\": 0.03004735765580664,\n\
|
126 |
+
\ \"acc_norm\": 0.8220858895705522,\n \"acc_norm_stderr\": 0.03004735765580664\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5982142857142857,\n\
|
128 |
+
\ \"acc_stderr\": 0.04653333146973647,\n \"acc_norm\": 0.5982142857142857,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.04653333146973647\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.0376017800602662,\n\
|
131 |
+
\ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.0376017800602662\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9102564102564102,\n\
|
133 |
+
\ \"acc_stderr\": 0.018724301741941632,\n \"acc_norm\": 0.9102564102564102,\n\
|
134 |
+
\ \"acc_norm_stderr\": 0.018724301741941632\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
135 |
+
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \
|
136 |
+
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\
|
137 |
+
\ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.879948914431673,\n\
|
138 |
+
\ \"acc_stderr\": 0.011622736692041263,\n \"acc_norm\": 0.879948914431673,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.011622736692041263\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.7658959537572254,\n \"acc_stderr\": 0.022797110278071124,\n\
|
141 |
+
\ \"acc_norm\": 0.7658959537572254,\n \"acc_norm_stderr\": 0.022797110278071124\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.41675977653631285,\n\
|
143 |
+
\ \"acc_stderr\": 0.016489134962438954,\n \"acc_norm\": 0.41675977653631285,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.016489134962438954\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.7745098039215687,\n \"acc_stderr\": 0.023929155517351298,\n\
|
146 |
+
\ \"acc_norm\": 0.7745098039215687,\n \"acc_norm_stderr\": 0.023929155517351298\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7717041800643086,\n\
|
148 |
+
\ \"acc_stderr\": 0.023839303311398188,\n \"acc_norm\": 0.7717041800643086,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.023839303311398188\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.7839506172839507,\n \"acc_stderr\": 0.022899162918445796,\n\
|
151 |
+
\ \"acc_norm\": 0.7839506172839507,\n \"acc_norm_stderr\": 0.022899162918445796\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.5390070921985816,\n \"acc_stderr\": 0.02973659252642444,\n \
|
154 |
+
\ \"acc_norm\": 0.5390070921985816,\n \"acc_norm_stderr\": 0.02973659252642444\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5286831812255541,\n\
|
156 |
+
\ \"acc_stderr\": 0.012749206007657459,\n \"acc_norm\": 0.5286831812255541,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012749206007657459\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.7022058823529411,\n \"acc_stderr\": 0.027778298701545436,\n\
|
159 |
+
\ \"acc_norm\": 0.7022058823529411,\n \"acc_norm_stderr\": 0.027778298701545436\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.75,\n \"acc_stderr\": 0.01751781884501444,\n \"acc_norm\"\
|
162 |
+
: 0.75,\n \"acc_norm_stderr\": 0.01751781884501444\n },\n \"harness|hendrycksTest-public_relations|5\"\
|
163 |
+
: {\n \"acc\": 0.7272727272727273,\n \"acc_stderr\": 0.04265792110940589,\n\
|
164 |
+
\ \"acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.04265792110940589\n\
|
165 |
+
\ },\n \"harness|hendrycksTest-security_studies|5\": {\n \"acc\": 0.7591836734693878,\n\
|
166 |
+
\ \"acc_stderr\": 0.02737294220178816,\n \"acc_norm\": 0.7591836734693878,\n\
|
167 |
+
\ \"acc_norm_stderr\": 0.02737294220178816\n },\n \"harness|hendrycksTest-sociology|5\"\
|
168 |
+
: {\n \"acc\": 0.8557213930348259,\n \"acc_stderr\": 0.024845753212306053,\n\
|
169 |
+
\ \"acc_norm\": 0.8557213930348259,\n \"acc_norm_stderr\": 0.024845753212306053\n\
|
170 |
+
\ },\n \"harness|hendrycksTest-us_foreign_policy|5\": {\n \"acc\":\
|
171 |
+
\ 0.91,\n \"acc_stderr\": 0.028762349126466125,\n \"acc_norm\": 0.91,\n\
|
172 |
+
\ \"acc_norm_stderr\": 0.028762349126466125\n },\n \"harness|hendrycksTest-virology|5\"\
|
173 |
+
: {\n \"acc\": 0.5602409638554217,\n \"acc_stderr\": 0.03864139923699122,\n\
|
174 |
+
\ \"acc_norm\": 0.5602409638554217,\n \"acc_norm_stderr\": 0.03864139923699122\n\
|
175 |
+
\ },\n \"harness|hendrycksTest-world_religions|5\": {\n \"acc\": 0.8596491228070176,\n\
|
176 |
+
\ \"acc_stderr\": 0.026640582539133196,\n \"acc_norm\": 0.8596491228070176,\n\
|
177 |
+
\ \"acc_norm_stderr\": 0.026640582539133196\n },\n \"harness|truthfulqa:mc|0\"\
|
178 |
+
: {\n \"mc1\": 0.38310893512851896,\n \"mc1_stderr\": 0.017018461679389855,\n\
|
179 |
+
\ \"mc2\": 0.538427969031974,\n \"mc2_stderr\": 0.015499026242399048\n\
|
180 |
+
\ },\n \"harness|winogrande|5\": {\n \"acc\": 0.7995264404104183,\n\
|
181 |
+
\ \"acc_stderr\": 0.011251958281205069\n },\n \"harness|gsm8k|5\":\
|
182 |
+
\ {\n \"acc\": 0.599696739954511,\n \"acc_stderr\": 0.013495926436566441\n\
|
183 |
+
\ }\n}\n```"
|
184 |
+
repo_url: https://huggingface.co/AA051610/AZG
|
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_09T22_11_18.691101
|
191 |
+
path:
|
192 |
+
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
434 |
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|
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|
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437 |
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|
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|
442 |
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|
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|
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|
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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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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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|
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|
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|
466 |
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|
467 |
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|
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|
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|
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|
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|
474 |
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475 |
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|
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|
477 |
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|
478 |
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|
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|
482 |
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|
483 |
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|
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|
486 |
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|
487 |
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|
489 |
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490 |
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491 |
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|
492 |
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494 |
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|
495 |
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497 |
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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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505 |
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|
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|
508 |
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509 |
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|
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|
511 |
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513 |
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514 |
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515 |
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|
516 |
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|
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518 |
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|
519 |
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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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|
527 |
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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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539 |
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540 |
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|
541 |
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542 |
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|
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545 |
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548 |
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|
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556 |
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|
559 |
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561 |
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564 |
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|
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|
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|
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|
569 |
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|
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580 |
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|
581 |
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|
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|
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|
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|
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|
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613 |
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|
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621 |
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|
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|
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|
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|
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|
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|
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|
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653 |
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|
654 |
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|
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|
661 |
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|
662 |
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|
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665 |
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|
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|
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668 |
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669 |
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|
670 |
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|
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674 |
+
path:
|
675 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T22-11-18.691101.parquet'
|
676 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
677 |
+
data_files:
|
678 |
+
- split: 2023_12_09T22_11_18.691101
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T22-11-18.691101.parquet'
|
681 |
+
- split: latest
|
682 |
+
path:
|
683 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T22-11-18.691101.parquet'
|
684 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
685 |
+
data_files:
|
686 |
+
- split: 2023_12_09T22_11_18.691101
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T22-11-18.691101.parquet'
|
689 |
+
- split: latest
|
690 |
+
path:
|
691 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T22-11-18.691101.parquet'
|
692 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
693 |
+
data_files:
|
694 |
+
- split: 2023_12_09T22_11_18.691101
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T22-11-18.691101.parquet'
|
697 |
+
- split: latest
|
698 |
+
path:
|
699 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T22-11-18.691101.parquet'
|
700 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
701 |
+
data_files:
|
702 |
+
- split: 2023_12_09T22_11_18.691101
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T22-11-18.691101.parquet'
|
705 |
+
- split: latest
|
706 |
+
path:
|
707 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T22-11-18.691101.parquet'
|
708 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
709 |
+
data_files:
|
710 |
+
- split: 2023_12_09T22_11_18.691101
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T22-11-18.691101.parquet'
|
713 |
+
- split: latest
|
714 |
+
path:
|
715 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T22-11-18.691101.parquet'
|
716 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
717 |
+
data_files:
|
718 |
+
- split: 2023_12_09T22_11_18.691101
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T22-11-18.691101.parquet'
|
721 |
+
- split: latest
|
722 |
+
path:
|
723 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T22-11-18.691101.parquet'
|
724 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
725 |
+
data_files:
|
726 |
+
- split: 2023_12_09T22_11_18.691101
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T22-11-18.691101.parquet'
|
729 |
+
- split: latest
|
730 |
+
path:
|
731 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T22-11-18.691101.parquet'
|
732 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
733 |
+
data_files:
|
734 |
+
- split: 2023_12_09T22_11_18.691101
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T22-11-18.691101.parquet'
|
737 |
+
- split: latest
|
738 |
+
path:
|
739 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T22-11-18.691101.parquet'
|
740 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
741 |
+
data_files:
|
742 |
+
- split: 2023_12_09T22_11_18.691101
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T22-11-18.691101.parquet'
|
745 |
+
- split: latest
|
746 |
+
path:
|
747 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T22-11-18.691101.parquet'
|
748 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
749 |
+
data_files:
|
750 |
+
- split: 2023_12_09T22_11_18.691101
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T22-11-18.691101.parquet'
|
753 |
+
- split: latest
|
754 |
+
path:
|
755 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T22-11-18.691101.parquet'
|
756 |
+
- config_name: harness_hendrycksTest_sociology_5
|
757 |
+
data_files:
|
758 |
+
- split: 2023_12_09T22_11_18.691101
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-09T22-11-18.691101.parquet'
|
761 |
+
- split: latest
|
762 |
+
path:
|
763 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-09T22-11-18.691101.parquet'
|
764 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
765 |
+
data_files:
|
766 |
+
- split: 2023_12_09T22_11_18.691101
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T22-11-18.691101.parquet'
|
769 |
+
- split: latest
|
770 |
+
path:
|
771 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T22-11-18.691101.parquet'
|
772 |
+
- config_name: harness_hendrycksTest_virology_5
|
773 |
+
data_files:
|
774 |
+
- split: 2023_12_09T22_11_18.691101
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-09T22-11-18.691101.parquet'
|
777 |
+
- split: latest
|
778 |
+
path:
|
779 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-09T22-11-18.691101.parquet'
|
780 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
781 |
+
data_files:
|
782 |
+
- split: 2023_12_09T22_11_18.691101
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T22-11-18.691101.parquet'
|
785 |
+
- split: latest
|
786 |
+
path:
|
787 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T22-11-18.691101.parquet'
|
788 |
+
- config_name: harness_truthfulqa_mc_0
|
789 |
+
data_files:
|
790 |
+
- split: 2023_12_09T22_11_18.691101
|
791 |
+
path:
|
792 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-09T22-11-18.691101.parquet'
|
793 |
+
- split: latest
|
794 |
+
path:
|
795 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-09T22-11-18.691101.parquet'
|
796 |
+
- config_name: harness_winogrande_5
|
797 |
+
data_files:
|
798 |
+
- split: 2023_12_09T22_11_18.691101
|
799 |
+
path:
|
800 |
+
- '**/details_harness|winogrande|5_2023-12-09T22-11-18.691101.parquet'
|
801 |
+
- split: latest
|
802 |
+
path:
|
803 |
+
- '**/details_harness|winogrande|5_2023-12-09T22-11-18.691101.parquet'
|
804 |
+
- config_name: results
|
805 |
+
data_files:
|
806 |
+
- split: 2023_12_09T22_11_18.691101
|
807 |
+
path:
|
808 |
+
- results_2023-12-09T22-11-18.691101.parquet
|
809 |
+
- split: latest
|
810 |
+
path:
|
811 |
+
- results_2023-12-09T22-11-18.691101.parquet
|
812 |
+
---
|
813 |
+
|
814 |
+
# Dataset Card for Evaluation run of AA051610/AZG
|
815 |
+
|
816 |
+
## Dataset Description
|
817 |
+
|
818 |
+
- **Homepage:**
|
819 |
+
- **Repository:** https://huggingface.co/AA051610/AZG
|
820 |
+
- **Paper:**
|
821 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
822 |
+
- **Point of Contact:** clementine@hf.co
|
823 |
+
|
824 |
+
### Dataset Summary
|
825 |
+
|
826 |
+
Dataset automatically created during the evaluation run of model [AA051610/AZG](https://huggingface.co/AA051610/AZG) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
827 |
+
|
828 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
829 |
+
|
830 |
+
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.
|
831 |
+
|
832 |
+
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)).
|
833 |
+
|
834 |
+
To load the details from a run, you can for instance do the following:
|
835 |
+
```python
|
836 |
+
from datasets import load_dataset
|
837 |
+
data = load_dataset("open-llm-leaderboard/details_AA051610__AZG",
|
838 |
+
"harness_winogrande_5",
|
839 |
+
split="train")
|
840 |
+
```
|
841 |
+
|
842 |
+
## Latest results
|
843 |
+
|
844 |
+
These are the [latest results from run 2023-12-09T22:11:18.691101](https://huggingface.co/datasets/open-llm-leaderboard/details_AA051610__AZG/blob/main/results_2023-12-09T22-11-18.691101.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):
|
845 |
+
|
846 |
+
```python
|
847 |
+
{
|
848 |
+
"all": {
|
849 |
+
"acc": 0.6997224830510826,
|
850 |
+
"acc_stderr": 0.03037702672483155,
|
851 |
+
"acc_norm": 0.7036495225534056,
|
852 |
+
"acc_norm_stderr": 0.030966589072480434,
|
853 |
+
"mc1": 0.38310893512851896,
|
854 |
+
"mc1_stderr": 0.017018461679389855,
|
855 |
+
"mc2": 0.538427969031974,
|
856 |
+
"mc2_stderr": 0.015499026242399048
|
857 |
+
},
|
858 |
+
"harness|arc:challenge|25": {
|
859 |
+
"acc": 0.5981228668941979,
|
860 |
+
"acc_stderr": 0.014327268614578274,
|
861 |
+
"acc_norm": 0.628839590443686,
|
862 |
+
"acc_norm_stderr": 0.014117971901142822
|
863 |
+
},
|
864 |
+
"harness|hellaswag|10": {
|
865 |
+
"acc": 0.619398526190002,
|
866 |
+
"acc_stderr": 0.0048454245247640405,
|
867 |
+
"acc_norm": 0.8201553475403306,
|
868 |
+
"acc_norm_stderr": 0.003832731017592104
|
869 |
+
},
|
870 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
871 |
+
"acc": 0.32,
|
872 |
+
"acc_stderr": 0.046882617226215034,
|
873 |
+
"acc_norm": 0.32,
|
874 |
+
"acc_norm_stderr": 0.046882617226215034
|
875 |
+
},
|
876 |
+
"harness|hendrycksTest-anatomy|5": {
|
877 |
+
"acc": 0.6222222222222222,
|
878 |
+
"acc_stderr": 0.04188307537595853,
|
879 |
+
"acc_norm": 0.6222222222222222,
|
880 |
+
"acc_norm_stderr": 0.04188307537595853
|
881 |
+
},
|
882 |
+
"harness|hendrycksTest-astronomy|5": {
|
883 |
+
"acc": 0.8289473684210527,
|
884 |
+
"acc_stderr": 0.030643607071677088,
|
885 |
+
"acc_norm": 0.8289473684210527,
|
886 |
+
"acc_norm_stderr": 0.030643607071677088
|
887 |
+
},
|
888 |
+
"harness|hendrycksTest-business_ethics|5": {
|
889 |
+
"acc": 0.75,
|
890 |
+
"acc_stderr": 0.04351941398892446,
|
891 |
+
"acc_norm": 0.75,
|
892 |
+
"acc_norm_stderr": 0.04351941398892446
|
893 |
+
},
|
894 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
895 |
+
"acc": 0.7358490566037735,
|
896 |
+
"acc_stderr": 0.027134291628741706,
|
897 |
+
"acc_norm": 0.7358490566037735,
|
898 |
+
"acc_norm_stderr": 0.027134291628741706
|
899 |
+
},
|
900 |
+
"harness|hendrycksTest-college_biology|5": {
|
901 |
+
"acc": 0.7986111111111112,
|
902 |
+
"acc_stderr": 0.033536474697138406,
|
903 |
+
"acc_norm": 0.7986111111111112,
|
904 |
+
"acc_norm_stderr": 0.033536474697138406
|
905 |
+
},
|
906 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
907 |
+
"acc": 0.48,
|
908 |
+
"acc_stderr": 0.050211673156867795,
|
909 |
+
"acc_norm": 0.48,
|
910 |
+
"acc_norm_stderr": 0.050211673156867795
|
911 |
+
},
|
912 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
913 |
+
"acc": 0.64,
|
914 |
+
"acc_stderr": 0.048241815132442176,
|
915 |
+
"acc_norm": 0.64,
|
916 |
+
"acc_norm_stderr": 0.048241815132442176
|
917 |
+
},
|
918 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
919 |
+
"acc": 0.44,
|
920 |
+
"acc_stderr": 0.04988876515698589,
|
921 |
+
"acc_norm": 0.44,
|
922 |
+
"acc_norm_stderr": 0.04988876515698589
|
923 |
+
},
|
924 |
+
"harness|hendrycksTest-college_medicine|5": {
|
925 |
+
"acc": 0.630057803468208,
|
926 |
+
"acc_stderr": 0.0368122963339432,
|
927 |
+
"acc_norm": 0.630057803468208,
|
928 |
+
"acc_norm_stderr": 0.0368122963339432
|
929 |
+
},
|
930 |
+
"harness|hendrycksTest-college_physics|5": {
|
931 |
+
"acc": 0.4411764705882353,
|
932 |
+
"acc_stderr": 0.049406356306056595,
|
933 |
+
"acc_norm": 0.4411764705882353,
|
934 |
+
"acc_norm_stderr": 0.049406356306056595
|
935 |
+
},
|
936 |
+
"harness|hendrycksTest-computer_security|5": {
|
937 |
+
"acc": 0.78,
|
938 |
+
"acc_stderr": 0.04163331998932261,
|
939 |
+
"acc_norm": 0.78,
|
940 |
+
"acc_norm_stderr": 0.04163331998932261
|
941 |
+
},
|
942 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
943 |
+
"acc": 0.7063829787234043,
|
944 |
+
"acc_stderr": 0.029771642712491227,
|
945 |
+
"acc_norm": 0.7063829787234043,
|
946 |
+
"acc_norm_stderr": 0.029771642712491227
|
947 |
+
},
|
948 |
+
"harness|hendrycksTest-econometrics|5": {
|
949 |
+
"acc": 0.543859649122807,
|
950 |
+
"acc_stderr": 0.046854730419077895,
|
951 |
+
"acc_norm": 0.543859649122807,
|
952 |
+
"acc_norm_stderr": 0.046854730419077895
|
953 |
+
},
|
954 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
955 |
+
"acc": 0.7103448275862069,
|
956 |
+
"acc_stderr": 0.03780019230438015,
|
957 |
+
"acc_norm": 0.7103448275862069,
|
958 |
+
"acc_norm_stderr": 0.03780019230438015
|
959 |
+
},
|
960 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
961 |
+
"acc": 0.5423280423280423,
|
962 |
+
"acc_stderr": 0.02565886886205833,
|
963 |
+
"acc_norm": 0.5423280423280423,
|
964 |
+
"acc_norm_stderr": 0.02565886886205833
|
965 |
+
},
|
966 |
+
"harness|hendrycksTest-formal_logic|5": {
|
967 |
+
"acc": 0.47619047619047616,
|
968 |
+
"acc_stderr": 0.04467062628403273,
|
969 |
+
"acc_norm": 0.47619047619047616,
|
970 |
+
"acc_norm_stderr": 0.04467062628403273
|
971 |
+
},
|
972 |
+
"harness|hendrycksTest-global_facts|5": {
|
973 |
+
"acc": 0.45,
|
974 |
+
"acc_stderr": 0.049999999999999996,
|
975 |
+
"acc_norm": 0.45,
|
976 |
+
"acc_norm_stderr": 0.049999999999999996
|
977 |
+
},
|
978 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
979 |
+
"acc": 0.8387096774193549,
|
980 |
+
"acc_stderr": 0.020923327006423298,
|
981 |
+
"acc_norm": 0.8387096774193549,
|
982 |
+
"acc_norm_stderr": 0.020923327006423298
|
983 |
+
},
|
984 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
985 |
+
"acc": 0.5665024630541872,
|
986 |
+
"acc_stderr": 0.03486731727419872,
|
987 |
+
"acc_norm": 0.5665024630541872,
|
988 |
+
"acc_norm_stderr": 0.03486731727419872
|
989 |
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"harness|hendrycksTest-management|5": {
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"harness|hendrycksTest-marketing|5": {
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1110 |
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"harness|hendrycksTest-medical_genetics|5": {
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},
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"harness|hendrycksTest-moral_disputes|5": {
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1123 |
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"harness|hendrycksTest-moral_scenarios|5": {
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1133 |
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},
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"harness|hendrycksTest-nutrition|5": {
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1139 |
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},
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"harness|hendrycksTest-philosophy|5": {
|
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1145 |
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},
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1146 |
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"harness|hendrycksTest-prehistory|5": {
|
1147 |
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1148 |
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|
1151 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
|
1153 |
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1154 |
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1157 |
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},
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1158 |
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"harness|hendrycksTest-professional_law|5": {
|
1159 |
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|
1160 |
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1163 |
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"harness|hendrycksTest-professional_medicine|5": {
|
1165 |
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1169 |
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},
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1170 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1171 |
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1172 |
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1175 |
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},
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1176 |
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"harness|hendrycksTest-public_relations|5": {
|
1177 |
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1178 |
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1181 |
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},
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1182 |
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"harness|hendrycksTest-security_studies|5": {
|
1183 |
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|
1187 |
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},
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1188 |
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"harness|hendrycksTest-sociology|5": {
|
1189 |
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1190 |
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1193 |
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},
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1194 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1195 |
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|
1196 |
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1197 |
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1198 |
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|
1199 |
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},
|
1200 |
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"harness|hendrycksTest-virology|5": {
|
1201 |
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|
1202 |
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1203 |
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1204 |
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|
1205 |
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},
|
1206 |
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"harness|hendrycksTest-world_religions|5": {
|
1207 |
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1208 |
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|
1211 |
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},
|
1212 |
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"harness|truthfulqa:mc|0": {
|
1213 |
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"mc1": 0.38310893512851896,
|
1214 |
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1215 |
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"mc2": 0.538427969031974,
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1217 |
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},
|
1218 |
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"harness|winogrande|5": {
|
1219 |
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1220 |
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|
1221 |
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},
|
1222 |
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"harness|gsm8k|5": {
|
1223 |
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|
1224 |
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|
1225 |
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}
|
1226 |
+
}
|
1227 |
+
```
|
1228 |
+
|
1229 |
+
### Supported Tasks and Leaderboards
|
1230 |
+
|
1231 |
+
[More Information Needed]
|
1232 |
+
|
1233 |
+
### Languages
|
1234 |
+
|
1235 |
+
[More Information Needed]
|
1236 |
+
|
1237 |
+
## Dataset Structure
|
1238 |
+
|
1239 |
+
### Data Instances
|
1240 |
+
|
1241 |
+
[More Information Needed]
|
1242 |
+
|
1243 |
+
### Data Fields
|
1244 |
+
|
1245 |
+
[More Information Needed]
|
1246 |
+
|
1247 |
+
### Data Splits
|
1248 |
+
|
1249 |
+
[More Information Needed]
|
1250 |
+
|
1251 |
+
## Dataset Creation
|
1252 |
+
|
1253 |
+
### Curation Rationale
|
1254 |
+
|
1255 |
+
[More Information Needed]
|
1256 |
+
|
1257 |
+
### Source Data
|
1258 |
+
|
1259 |
+
#### Initial Data Collection and Normalization
|
1260 |
+
|
1261 |
+
[More Information Needed]
|
1262 |
+
|
1263 |
+
#### Who are the source language producers?
|
1264 |
+
|
1265 |
+
[More Information Needed]
|
1266 |
+
|
1267 |
+
### Annotations
|
1268 |
+
|
1269 |
+
#### Annotation process
|
1270 |
+
|
1271 |
+
[More Information Needed]
|
1272 |
+
|
1273 |
+
#### Who are the annotators?
|
1274 |
+
|
1275 |
+
[More Information Needed]
|
1276 |
+
|
1277 |
+
### Personal and Sensitive Information
|
1278 |
+
|
1279 |
+
[More Information Needed]
|
1280 |
+
|
1281 |
+
## Considerations for Using the Data
|
1282 |
+
|
1283 |
+
### Social Impact of Dataset
|
1284 |
+
|
1285 |
+
[More Information Needed]
|
1286 |
+
|
1287 |
+
### Discussion of Biases
|
1288 |
+
|
1289 |
+
[More Information Needed]
|
1290 |
+
|
1291 |
+
### Other Known Limitations
|
1292 |
+
|
1293 |
+
[More Information Needed]
|
1294 |
+
|
1295 |
+
## Additional Information
|
1296 |
+
|
1297 |
+
### Dataset Curators
|
1298 |
+
|
1299 |
+
[More Information Needed]
|
1300 |
+
|
1301 |
+
### Licensing Information
|
1302 |
+
|
1303 |
+
[More Information Needed]
|
1304 |
+
|
1305 |
+
### Citation Information
|
1306 |
+
|
1307 |
+
[More Information Needed]
|
1308 |
+
|
1309 |
+
### Contributions
|
1310 |
+
|
1311 |
+
[More Information Needed]
|