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127b2ab
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Parent(s):
06e1bda
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README.md
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1 |
+
---
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pretty_name: Evaluation run of Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties](https://huggingface.co/Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties)\
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\ 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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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_Weyaxi__MetaMath-una-cybertron-v2-bf16-Ties\"\
|
15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
16 |
+
These are the [latest results from run 2023-12-09T16:17:55.430276](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-una-cybertron-v2-bf16-Ties/blob/main/results_2023-12-09T16-17-55.430276.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\": 0.6301095117404198,\n\
|
20 |
+
\ \"acc_stderr\": 0.03256047711626452,\n \"acc_norm\": 0.629798681344077,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.03322922327648027,\n \"mc1\": 0.3990208078335373,\n\
|
22 |
+
\ \"mc1_stderr\": 0.017142825728496767,\n \"mc2\": 0.555200832195947,\n\
|
23 |
+
\ \"mc2_stderr\": 0.01590653396629896\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.6305460750853242,\n \"acc_stderr\": 0.014104578366491887,\n\
|
25 |
+
\ \"acc_norm\": 0.6501706484641638,\n \"acc_norm_stderr\": 0.013936809212158296\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6700856403106951,\n\
|
27 |
+
\ \"acc_stderr\": 0.0046922082796905925,\n \"acc_norm\": 0.8367855008962358,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.0036880598312390156\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
|
30 |
+
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
|
32 |
+
\ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.6776315789473685,\n \"acc_stderr\": 0.03803510248351585,\n\
|
35 |
+
\ \"acc_norm\": 0.6776315789473685,\n \"acc_norm_stderr\": 0.03803510248351585\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n\
|
37 |
+
\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.028727502957880267,\n\
|
40 |
+
\ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.028727502957880267\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7083333333333334,\n\
|
42 |
+
\ \"acc_stderr\": 0.038009680605548594,\n \"acc_norm\": 0.7083333333333334,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.038009680605548594\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\
|
45 |
+
: 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\
|
46 |
+
: {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \
|
47 |
+
\ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \
|
48 |
+
\ },\n \"harness|hendrycksTest-college_mathematics|5\": {\n \"acc\": 0.39,\n\
|
49 |
+
\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n \
|
50 |
+
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-college_medicine|5\"\
|
51 |
+
: {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.0368122963339432,\n\
|
52 |
+
\ \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.0368122963339432\n\
|
53 |
+
\ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.37254901960784315,\n\
|
54 |
+
\ \"acc_stderr\": 0.048108401480826346,\n \"acc_norm\": 0.37254901960784315,\n\
|
55 |
+
\ \"acc_norm_stderr\": 0.048108401480826346\n },\n \"harness|hendrycksTest-computer_security|5\"\
|
56 |
+
: {\n \"acc\": 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \
|
57 |
+
\ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.04163331998932261\n \
|
58 |
+
\ },\n \"harness|hendrycksTest-conceptual_physics|5\": {\n \"acc\": 0.574468085106383,\n\
|
59 |
+
\ \"acc_stderr\": 0.03232146916224469,\n \"acc_norm\": 0.574468085106383,\n\
|
60 |
+
\ \"acc_norm_stderr\": 0.03232146916224469\n },\n \"harness|hendrycksTest-econometrics|5\"\
|
61 |
+
: {\n \"acc\": 0.4473684210526316,\n \"acc_stderr\": 0.04677473004491199,\n\
|
62 |
+
\ \"acc_norm\": 0.4473684210526316,\n \"acc_norm_stderr\": 0.04677473004491199\n\
|
63 |
+
\ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\
|
64 |
+
: 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n \"acc_norm\"\
|
65 |
+
: 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n },\n\
|
66 |
+
\ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.3968253968253968,\n\
|
67 |
+
\ \"acc_stderr\": 0.025197101074246477,\n \"acc_norm\": 0.3968253968253968,\n\
|
68 |
+
\ \"acc_norm_stderr\": 0.025197101074246477\n },\n \"harness|hendrycksTest-formal_logic|5\"\
|
69 |
+
: {\n \"acc\": 0.4126984126984127,\n \"acc_stderr\": 0.04403438954768176,\n\
|
70 |
+
\ \"acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.04403438954768176\n\
|
71 |
+
\ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.35,\n\
|
72 |
+
\ \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\": 0.35,\n \
|
73 |
+
\ \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness|hendrycksTest-high_school_biology|5\"\
|
74 |
+
: {\n \"acc\": 0.7516129032258064,\n \"acc_stderr\": 0.024580028921481003,\n\
|
75 |
+
\ \"acc_norm\": 0.7516129032258064,\n \"acc_norm_stderr\": 0.024580028921481003\n\
|
76 |
+
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
|
77 |
+
: 0.47783251231527096,\n \"acc_stderr\": 0.03514528562175008,\n \"\
|
78 |
+
acc_norm\": 0.47783251231527096,\n \"acc_norm_stderr\": 0.03514528562175008\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\"\
|
81 |
+
: 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\
|
83 |
+
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\
|
86 |
+
acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919443,\n\
|
89 |
+
\ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919443\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062153,\n\
|
92 |
+
\ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062153\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028593,\n \
|
95 |
+
\ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028593\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.02995382389188704,\n \
|
98 |
+
\ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.02995382389188704\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.31125827814569534,\n \"acc_stderr\": 0.03780445850526733,\n \"\
|
101 |
+
acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.03780445850526733\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.8385321100917431,\n \"acc_stderr\": 0.015776239256163224,\n \"\
|
104 |
+
acc_norm\": 0.8385321100917431,\n \"acc_norm_stderr\": 0.015776239256163224\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.5555555555555556,\n \"acc_stderr\": 0.03388857118502325,\n \"\
|
107 |
+
acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.03388857118502325\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.7794117647058824,\n \"acc_stderr\": 0.02910225438967408,\n \"\
|
110 |
+
acc_norm\": 0.7794117647058824,\n \"acc_norm_stderr\": 0.02910225438967408\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.7721518987341772,\n \"acc_stderr\": 0.027303484599069436,\n \
|
113 |
+
\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.027303484599069436\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\
|
115 |
+
\ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.7099236641221374,\n \"acc_stderr\": 0.03980066246467766,\n\
|
118 |
+
\ \"acc_norm\": 0.7099236641221374,\n \"acc_norm_stderr\": 0.03980066246467766\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\
|
121 |
+
: 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\
|
122 |
+
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\
|
123 |
+
\ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.7685185185185185,\n\
|
124 |
+
\ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.7055214723926381,\n \"acc_stderr\": 0.03581165790474082,\n\
|
126 |
+
\ \"acc_norm\": 0.7055214723926381,\n \"acc_norm_stderr\": 0.03581165790474082\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.44642857142857145,\n\
|
128 |
+
\ \"acc_stderr\": 0.04718471485219588,\n \"acc_norm\": 0.44642857142857145,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.04718471485219588\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.8058252427184466,\n \"acc_stderr\": 0.03916667762822584,\n\
|
131 |
+
\ \"acc_norm\": 0.8058252427184466,\n \"acc_norm_stderr\": 0.03916667762822584\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\
|
133 |
+
\ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\
|
134 |
+
\ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
135 |
+
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \
|
136 |
+
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \
|
137 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8084291187739464,\n\
|
138 |
+
\ \"acc_stderr\": 0.014072859310451949,\n \"acc_norm\": 0.8084291187739464,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.014072859310451949\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.7023121387283237,\n \"acc_stderr\": 0.024617055388677006,\n\
|
141 |
+
\ \"acc_norm\": 0.7023121387283237,\n \"acc_norm_stderr\": 0.024617055388677006\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42793296089385474,\n\
|
143 |
+
\ \"acc_stderr\": 0.01654788799741611,\n \"acc_norm\": 0.42793296089385474,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.01654788799741611\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.6797385620915033,\n \"acc_stderr\": 0.02671611838015685,\n\
|
146 |
+
\ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.02671611838015685\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7106109324758842,\n\
|
148 |
+
\ \"acc_stderr\": 0.025755865922632952,\n \"acc_norm\": 0.7106109324758842,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.025755865922632952\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.7129629629629629,\n \"acc_stderr\": 0.025171041915309684,\n\
|
151 |
+
\ \"acc_norm\": 0.7129629629629629,\n \"acc_norm_stderr\": 0.025171041915309684\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.44680851063829785,\n \"acc_stderr\": 0.029658235097666907,\n \
|
154 |
+
\ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.029658235097666907\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.455019556714472,\n\
|
156 |
+
\ \"acc_stderr\": 0.012718456618701772,\n \"acc_norm\": 0.455019556714472,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012718456618701772\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.6397058823529411,\n \"acc_stderr\": 0.02916312857067073,\n\
|
159 |
+
\ \"acc_norm\": 0.6397058823529411,\n \"acc_norm_stderr\": 0.02916312857067073\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.6470588235294118,\n \"acc_stderr\": 0.01933314202079716,\n \
|
162 |
+
\ \"acc_norm\": 0.6470588235294118,\n \"acc_norm_stderr\": 0.01933314202079716\n\
|
163 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6181818181818182,\n\
|
164 |
+
\ \"acc_stderr\": 0.046534298079135075,\n \"acc_norm\": 0.6181818181818182,\n\
|
165 |
+
\ \"acc_norm_stderr\": 0.046534298079135075\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
166 |
+
: {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\
|
167 |
+
\ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\
|
168 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8059701492537313,\n\
|
169 |
+
\ \"acc_stderr\": 0.027962677604768907,\n \"acc_norm\": 0.8059701492537313,\n\
|
170 |
+
\ \"acc_norm_stderr\": 0.027962677604768907\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
171 |
+
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.03487350880197771,\n \
|
172 |
+
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.03487350880197771\n \
|
173 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5301204819277109,\n\
|
174 |
+
\ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.5301204819277109,\n\
|
175 |
+
\ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
176 |
+
: {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\
|
177 |
+
\ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\
|
178 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3990208078335373,\n\
|
179 |
+
\ \"mc1_stderr\": 0.017142825728496767,\n \"mc2\": 0.555200832195947,\n\
|
180 |
+
\ \"mc2_stderr\": 0.01590653396629896\n },\n \"harness|winogrande|5\"\
|
181 |
+
: {\n \"acc\": 0.7726913970007893,\n \"acc_stderr\": 0.011778612167091088\n\
|
182 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6921910538286581,\n \
|
183 |
+
\ \"acc_stderr\": 0.012714401009923647\n }\n}\n```"
|
184 |
+
repo_url: https://huggingface.co/Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties
|
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
|
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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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- split: latest
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T16-17-55.430276.parquet'
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- config_name: harness_hendrycksTest_college_computer_science_5
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- split: 2023_12_09T16_17_55.430276
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- split: latest
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path:
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T16-17-55.430276.parquet'
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- config_name: harness_hendrycksTest_college_mathematics_5
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data_files:
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T16-17-55.430276.parquet'
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- split: latest
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|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T16-17-55.430276.parquet'
|
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- config_name: harness_hendrycksTest_college_medicine_5
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T16-17-55.430276.parquet'
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path:
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T16-17-55.430276.parquet'
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- config_name: harness_hendrycksTest_college_physics_5
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T16-17-55.430276.parquet'
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|
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path:
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T16-17-55.430276.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T16-17-55.430276.parquet'
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path:
|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T16-17-55.430276.parquet'
|
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- config_name: harness_hendrycksTest_conceptual_physics_5
|
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|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T16-17-55.430276.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T16-17-55.430276.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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|
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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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|
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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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|
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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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|
531 |
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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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|
541 |
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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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|
581 |
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|
582 |
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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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|
605 |
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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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|
619 |
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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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|
629 |
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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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|
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- config_name: harness_hendrycksTest_moral_disputes_5
|
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data_files:
|
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|
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path:
|
672 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T16-17-55.430276.parquet'
|
673 |
+
- split: latest
|
674 |
+
path:
|
675 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T16-17-55.430276.parquet'
|
676 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
677 |
+
data_files:
|
678 |
+
- split: 2023_12_09T16_17_55.430276
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T16-17-55.430276.parquet'
|
681 |
+
- split: latest
|
682 |
+
path:
|
683 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T16-17-55.430276.parquet'
|
684 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
685 |
+
data_files:
|
686 |
+
- split: 2023_12_09T16_17_55.430276
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T16-17-55.430276.parquet'
|
689 |
+
- split: latest
|
690 |
+
path:
|
691 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T16-17-55.430276.parquet'
|
692 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
693 |
+
data_files:
|
694 |
+
- split: 2023_12_09T16_17_55.430276
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T16-17-55.430276.parquet'
|
697 |
+
- split: latest
|
698 |
+
path:
|
699 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T16-17-55.430276.parquet'
|
700 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
701 |
+
data_files:
|
702 |
+
- split: 2023_12_09T16_17_55.430276
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T16-17-55.430276.parquet'
|
705 |
+
- split: latest
|
706 |
+
path:
|
707 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T16-17-55.430276.parquet'
|
708 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
709 |
+
data_files:
|
710 |
+
- split: 2023_12_09T16_17_55.430276
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T16-17-55.430276.parquet'
|
713 |
+
- split: latest
|
714 |
+
path:
|
715 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T16-17-55.430276.parquet'
|
716 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
717 |
+
data_files:
|
718 |
+
- split: 2023_12_09T16_17_55.430276
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T16-17-55.430276.parquet'
|
721 |
+
- split: latest
|
722 |
+
path:
|
723 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T16-17-55.430276.parquet'
|
724 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
725 |
+
data_files:
|
726 |
+
- split: 2023_12_09T16_17_55.430276
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T16-17-55.430276.parquet'
|
729 |
+
- split: latest
|
730 |
+
path:
|
731 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T16-17-55.430276.parquet'
|
732 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
733 |
+
data_files:
|
734 |
+
- split: 2023_12_09T16_17_55.430276
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T16-17-55.430276.parquet'
|
737 |
+
- split: latest
|
738 |
+
path:
|
739 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T16-17-55.430276.parquet'
|
740 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
741 |
+
data_files:
|
742 |
+
- split: 2023_12_09T16_17_55.430276
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T16-17-55.430276.parquet'
|
745 |
+
- split: latest
|
746 |
+
path:
|
747 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T16-17-55.430276.parquet'
|
748 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
749 |
+
data_files:
|
750 |
+
- split: 2023_12_09T16_17_55.430276
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T16-17-55.430276.parquet'
|
753 |
+
- split: latest
|
754 |
+
path:
|
755 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T16-17-55.430276.parquet'
|
756 |
+
- config_name: harness_hendrycksTest_sociology_5
|
757 |
+
data_files:
|
758 |
+
- split: 2023_12_09T16_17_55.430276
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-09T16-17-55.430276.parquet'
|
761 |
+
- split: latest
|
762 |
+
path:
|
763 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-09T16-17-55.430276.parquet'
|
764 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
765 |
+
data_files:
|
766 |
+
- split: 2023_12_09T16_17_55.430276
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T16-17-55.430276.parquet'
|
769 |
+
- split: latest
|
770 |
+
path:
|
771 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T16-17-55.430276.parquet'
|
772 |
+
- config_name: harness_hendrycksTest_virology_5
|
773 |
+
data_files:
|
774 |
+
- split: 2023_12_09T16_17_55.430276
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-09T16-17-55.430276.parquet'
|
777 |
+
- split: latest
|
778 |
+
path:
|
779 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-09T16-17-55.430276.parquet'
|
780 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
781 |
+
data_files:
|
782 |
+
- split: 2023_12_09T16_17_55.430276
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T16-17-55.430276.parquet'
|
785 |
+
- split: latest
|
786 |
+
path:
|
787 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T16-17-55.430276.parquet'
|
788 |
+
- config_name: harness_truthfulqa_mc_0
|
789 |
+
data_files:
|
790 |
+
- split: 2023_12_09T16_17_55.430276
|
791 |
+
path:
|
792 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-09T16-17-55.430276.parquet'
|
793 |
+
- split: latest
|
794 |
+
path:
|
795 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-09T16-17-55.430276.parquet'
|
796 |
+
- config_name: harness_winogrande_5
|
797 |
+
data_files:
|
798 |
+
- split: 2023_12_09T16_17_55.430276
|
799 |
+
path:
|
800 |
+
- '**/details_harness|winogrande|5_2023-12-09T16-17-55.430276.parquet'
|
801 |
+
- split: latest
|
802 |
+
path:
|
803 |
+
- '**/details_harness|winogrande|5_2023-12-09T16-17-55.430276.parquet'
|
804 |
+
- config_name: results
|
805 |
+
data_files:
|
806 |
+
- split: 2023_12_09T16_17_55.430276
|
807 |
+
path:
|
808 |
+
- results_2023-12-09T16-17-55.430276.parquet
|
809 |
+
- split: latest
|
810 |
+
path:
|
811 |
+
- results_2023-12-09T16-17-55.430276.parquet
|
812 |
+
---
|
813 |
+
|
814 |
+
# Dataset Card for Evaluation run of Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties
|
815 |
+
|
816 |
+
## Dataset Description
|
817 |
+
|
818 |
+
- **Homepage:**
|
819 |
+
- **Repository:** https://huggingface.co/Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties
|
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 [Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties](https://huggingface.co/Weyaxi/MetaMath-una-cybertron-v2-bf16-Ties) 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_Weyaxi__MetaMath-una-cybertron-v2-bf16-Ties",
|
838 |
+
"harness_winogrande_5",
|
839 |
+
split="train")
|
840 |
+
```
|
841 |
+
|
842 |
+
## Latest results
|
843 |
+
|
844 |
+
These are the [latest results from run 2023-12-09T16:17:55.430276](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-una-cybertron-v2-bf16-Ties/blob/main/results_2023-12-09T16-17-55.430276.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": 0.6301095117404198,
|
850 |
+
"acc_stderr": 0.03256047711626452,
|
851 |
+
"acc_norm": 0.629798681344077,
|
852 |
+
"acc_norm_stderr": 0.03322922327648027,
|
853 |
+
"mc1": 0.3990208078335373,
|
854 |
+
"mc1_stderr": 0.017142825728496767,
|
855 |
+
"mc2": 0.555200832195947,
|
856 |
+
"mc2_stderr": 0.01590653396629896
|
857 |
+
},
|
858 |
+
"harness|arc:challenge|25": {
|
859 |
+
"acc": 0.6305460750853242,
|
860 |
+
"acc_stderr": 0.014104578366491887,
|
861 |
+
"acc_norm": 0.6501706484641638,
|
862 |
+
"acc_norm_stderr": 0.013936809212158296
|
863 |
+
},
|
864 |
+
"harness|hellaswag|10": {
|
865 |
+
"acc": 0.6700856403106951,
|
866 |
+
"acc_stderr": 0.0046922082796905925,
|
867 |
+
"acc_norm": 0.8367855008962358,
|
868 |
+
"acc_norm_stderr": 0.0036880598312390156
|
869 |
+
},
|
870 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
871 |
+
"acc": 0.25,
|
872 |
+
"acc_stderr": 0.04351941398892446,
|
873 |
+
"acc_norm": 0.25,
|
874 |
+
"acc_norm_stderr": 0.04351941398892446
|
875 |
+
},
|
876 |
+
"harness|hendrycksTest-anatomy|5": {
|
877 |
+
"acc": 0.6222222222222222,
|
878 |
+
"acc_stderr": 0.04188307537595852,
|
879 |
+
"acc_norm": 0.6222222222222222,
|
880 |
+
"acc_norm_stderr": 0.04188307537595852
|
881 |
+
},
|
882 |
+
"harness|hendrycksTest-astronomy|5": {
|
883 |
+
"acc": 0.6776315789473685,
|
884 |
+
"acc_stderr": 0.03803510248351585,
|
885 |
+
"acc_norm": 0.6776315789473685,
|
886 |
+
"acc_norm_stderr": 0.03803510248351585
|
887 |
+
},
|
888 |
+
"harness|hendrycksTest-business_ethics|5": {
|
889 |
+
"acc": 0.61,
|
890 |
+
"acc_stderr": 0.04902071300001975,
|
891 |
+
"acc_norm": 0.61,
|
892 |
+
"acc_norm_stderr": 0.04902071300001975
|
893 |
+
},
|
894 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
895 |
+
"acc": 0.6792452830188679,
|
896 |
+
"acc_stderr": 0.028727502957880267,
|
897 |
+
"acc_norm": 0.6792452830188679,
|
898 |
+
"acc_norm_stderr": 0.028727502957880267
|
899 |
+
},
|
900 |
+
"harness|hendrycksTest-college_biology|5": {
|
901 |
+
"acc": 0.7083333333333334,
|
902 |
+
"acc_stderr": 0.038009680605548594,
|
903 |
+
"acc_norm": 0.7083333333333334,
|
904 |
+
"acc_norm_stderr": 0.038009680605548594
|
905 |
+
},
|
906 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
907 |
+
"acc": 0.45,
|
908 |
+
"acc_stderr": 0.05,
|
909 |
+
"acc_norm": 0.45,
|
910 |
+
"acc_norm_stderr": 0.05
|
911 |
+
},
|
912 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
913 |
+
"acc": 0.51,
|
914 |
+
"acc_stderr": 0.05024183937956912,
|
915 |
+
"acc_norm": 0.51,
|
916 |
+
"acc_norm_stderr": 0.05024183937956912
|
917 |
+
},
|
918 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
919 |
+
"acc": 0.39,
|
920 |
+
"acc_stderr": 0.04902071300001975,
|
921 |
+
"acc_norm": 0.39,
|
922 |
+
"acc_norm_stderr": 0.04902071300001975
|
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": 0.37254901960784315,
|
932 |
+
"acc_stderr": 0.048108401480826346,
|
933 |
+
"acc_norm": 0.37254901960784315,
|
934 |
+
"acc_norm_stderr": 0.048108401480826346
|
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": 0.574468085106383,
|
944 |
+
"acc_stderr": 0.03232146916224469,
|
945 |
+
"acc_norm": 0.574468085106383,
|
946 |
+
"acc_norm_stderr": 0.03232146916224469
|
947 |
+
},
|
948 |
+
"harness|hendrycksTest-econometrics|5": {
|
949 |
+
"acc": 0.4473684210526316,
|
950 |
+
"acc_stderr": 0.04677473004491199,
|
951 |
+
"acc_norm": 0.4473684210526316,
|
952 |
+
"acc_norm_stderr": 0.04677473004491199
|
953 |
+
},
|
954 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
955 |
+
"acc": 0.5241379310344828,
|
956 |
+
"acc_stderr": 0.0416180850350153,
|
957 |
+
"acc_norm": 0.5241379310344828,
|
958 |
+
"acc_norm_stderr": 0.0416180850350153
|
959 |
+
},
|
960 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
961 |
+
"acc": 0.3968253968253968,
|
962 |
+
"acc_stderr": 0.025197101074246477,
|
963 |
+
"acc_norm": 0.3968253968253968,
|
964 |
+
"acc_norm_stderr": 0.025197101074246477
|
965 |
+
},
|
966 |
+
"harness|hendrycksTest-formal_logic|5": {
|
967 |
+
"acc": 0.4126984126984127,
|
968 |
+
"acc_stderr": 0.04403438954768176,
|
969 |
+
"acc_norm": 0.4126984126984127,
|
970 |
+
"acc_norm_stderr": 0.04403438954768176
|
971 |
+
},
|
972 |
+
"harness|hendrycksTest-global_facts|5": {
|
973 |
+
"acc": 0.35,
|
974 |
+
"acc_stderr": 0.04793724854411019,
|
975 |
+
"acc_norm": 0.35,
|
976 |
+
"acc_norm_stderr": 0.04793724854411019
|
977 |
+
},
|
978 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
979 |
+
"acc": 0.7516129032258064,
|
980 |
+
"acc_stderr": 0.024580028921481003,
|
981 |
+
"acc_norm": 0.7516129032258064,
|
982 |
+
"acc_norm_stderr": 0.024580028921481003
|
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"harness|hendrycksTest-management|5": {
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"harness|hendrycksTest-moral_disputes|5": {
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},
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"harness|hendrycksTest-nutrition|5": {
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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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"harness|hendrycksTest-prehistory|5": {
|
1147 |
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1151 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
|
1153 |
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1157 |
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},
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"harness|hendrycksTest-professional_law|5": {
|
1159 |
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1160 |
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1163 |
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},
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"harness|hendrycksTest-professional_medicine|5": {
|
1165 |
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1169 |
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1170 |
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"harness|hendrycksTest-professional_psychology|5": {
|
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},
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"harness|hendrycksTest-public_relations|5": {
|
1177 |
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1181 |
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},
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"harness|hendrycksTest-security_studies|5": {
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1187 |
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},
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"harness|hendrycksTest-sociology|5": {
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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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|
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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|
1205 |
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},
|
1206 |
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"harness|hendrycksTest-world_religions|5": {
|
1207 |
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|
1211 |
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},
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1212 |
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"harness|truthfulqa:mc|0": {
|
1213 |
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1214 |
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1215 |
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"mc2": 0.555200832195947,
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1217 |
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},
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1218 |
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"harness|winogrande|5": {
|
1219 |
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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]
|