open-llm-bot
commited on
Commit
•
019f624
1
Parent(s):
210ccc0
Upload README.md with huggingface_hub
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README.md
ADDED
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---
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pretty_name: Evaluation run of Weyaxi/MetaMath-Tulpar-7b-v2-Slerp
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [Weyaxi/MetaMath-Tulpar-7b-v2-Slerp](https://huggingface.co/Weyaxi/MetaMath-Tulpar-7b-v2-Slerp)\
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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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+
\ 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\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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+
\nAn additional configuration \"results\" store all the aggregated results of the\
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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+
\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Weyaxi__MetaMath-Tulpar-7b-v2-Slerp\"\
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
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These are the [latest results from run 2024-01-05T14:51:30.669474](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-Tulpar-7b-v2-Slerp/blob/main/results_2024-01-05T14-51-30.669474.json)(note\
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6379672317121475,\n\
|
20 |
+
\ \"acc_stderr\": 0.032268482670470874,\n \"acc_norm\": 0.6378521186236827,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.0329317188618121,\n \"mc1\": 0.4039167686658507,\n\
|
22 |
+
\ \"mc1_stderr\": 0.017177276822584284,\n \"mc2\": 0.5644227760342831,\n\
|
23 |
+
\ \"mc2_stderr\": 0.015511434380507188\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.6305460750853242,\n \"acc_stderr\": 0.01410457836649189,\n\
|
25 |
+
\ \"acc_norm\": 0.659556313993174,\n \"acc_norm_stderr\": 0.013847460518892978\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6676956781517626,\n\
|
27 |
+
\ \"acc_stderr\": 0.004700767741735563,\n \"acc_norm\": 0.8511252738498307,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.0035523745313052004\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \
|
30 |
+
\ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\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\": 0.7171052631578947,\n \"acc_stderr\": 0.03665349695640767,\n\
|
35 |
+
\ \"acc_norm\": 0.7171052631578947,\n \"acc_norm_stderr\": 0.03665349695640767\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\": 0.7132075471698113,\n \"acc_stderr\": 0.027834912527544067,\n\
|
40 |
+
\ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.027834912527544067\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7013888888888888,\n\
|
42 |
+
\ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.7013888888888888,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.04975698519562428,\n \
|
45 |
+
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.04975698519562428\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
47 |
+
: 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.49,\n\
|
48 |
+
\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
|
50 |
+
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\
|
52 |
+
\ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.048786087144669955,\n\
|
55 |
+
\ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.048786087144669955\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.79,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.79,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.5829787234042553,\n \"acc_stderr\": 0.03223276266711712,\n\
|
60 |
+
\ \"acc_norm\": 0.5829787234042553,\n \"acc_norm_stderr\": 0.03223276266711712\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\
|
62 |
+
\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\
|
65 |
+
\ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.41005291005291006,\n \"acc_stderr\": 0.025331202438944433,\n \"\
|
68 |
+
acc_norm\": 0.41005291005291006,\n \"acc_norm_stderr\": 0.025331202438944433\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\
|
70 |
+
\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411019,\n \
|
73 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411019\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7806451612903226,\n\
|
75 |
+
\ \"acc_stderr\": 0.023540799358723292,\n \"acc_norm\": 0.7806451612903226,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.023540799358723292\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n\
|
78 |
+
\ \"acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\"\
|
81 |
+
: 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\
|
83 |
+
\ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.7777777777777778,\n \"acc_stderr\": 0.02962022787479048,\n \"\
|
86 |
+
acc_norm\": 0.7777777777777778,\n \"acc_norm_stderr\": 0.02962022787479048\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.02381447708659355,\n\
|
89 |
+
\ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.02381447708659355\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.6358974358974359,\n \"acc_stderr\": 0.02439667298509476,\n \
|
92 |
+
\ \"acc_norm\": 0.6358974358974359,\n \"acc_norm_stderr\": 0.02439667298509476\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.34074074074074073,\n \"acc_stderr\": 0.02889774874113115,\n \
|
95 |
+
\ \"acc_norm\": 0.34074074074074073,\n \"acc_norm_stderr\": 0.02889774874113115\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.6722689075630253,\n \"acc_stderr\": 0.03048991141767323,\n \
|
98 |
+
\ \"acc_norm\": 0.6722689075630253,\n \"acc_norm_stderr\": 0.03048991141767323\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\
|
101 |
+
acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.8366972477064221,\n \"acc_stderr\": 0.015848255806501534,\n \"\
|
104 |
+
acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.015848255806501534\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.5138888888888888,\n \"acc_stderr\": 0.03408655867977749,\n \"\
|
107 |
+
acc_norm\": 0.5138888888888888,\n \"acc_norm_stderr\": 0.03408655867977749\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.7941176470588235,\n \"acc_stderr\": 0.028379449451588667,\n \"\
|
110 |
+
acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.028379449451588667\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.7890295358649789,\n \"acc_stderr\": 0.02655837250266192,\n \
|
113 |
+
\ \"acc_norm\": 0.7890295358649789,\n \"acc_norm_stderr\": 0.02655837250266192\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\
|
115 |
+
\ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\
|
118 |
+
\ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.8016528925619835,\n \"acc_stderr\": 0.036401182719909456,\n \"\
|
121 |
+
acc_norm\": 0.8016528925619835,\n \"acc_norm_stderr\": 0.036401182719909456\n\
|
122 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8055555555555556,\n\
|
123 |
+
\ \"acc_stderr\": 0.03826076324884866,\n \"acc_norm\": 0.8055555555555556,\n\
|
124 |
+
\ \"acc_norm_stderr\": 0.03826076324884866\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\
|
126 |
+
\ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\
|
128 |
+
\ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\
|
131 |
+
\ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\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\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
|
136 |
+
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
137 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8250319284802043,\n\
|
138 |
+
\ \"acc_stderr\": 0.01358661921990333,\n \"acc_norm\": 0.8250319284802043,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.01358661921990333\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.7225433526011561,\n \"acc_stderr\": 0.024105712607754307,\n\
|
141 |
+
\ \"acc_norm\": 0.7225433526011561,\n \"acc_norm_stderr\": 0.024105712607754307\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.41899441340782123,\n\
|
143 |
+
\ \"acc_stderr\": 0.016501579306861674,\n \"acc_norm\": 0.41899441340782123,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.016501579306861674\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.7156862745098039,\n \"acc_stderr\": 0.025829163272757485,\n\
|
146 |
+
\ \"acc_norm\": 0.7156862745098039,\n \"acc_norm_stderr\": 0.025829163272757485\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\
|
148 |
+
\ \"acc_stderr\": 0.02567025924218893,\n \"acc_norm\": 0.7138263665594855,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.02567025924218893\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.7283950617283951,\n \"acc_stderr\": 0.02474862449053737,\n\
|
151 |
+
\ \"acc_norm\": 0.7283950617283951,\n \"acc_norm_stderr\": 0.02474862449053737\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.475177304964539,\n \"acc_stderr\": 0.02979071924382972,\n \
|
154 |
+
\ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.02979071924382972\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4602346805736636,\n\
|
156 |
+
\ \"acc_stderr\": 0.012729785386598557,\n \"acc_norm\": 0.4602346805736636,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012729785386598557\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\
|
159 |
+
\ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.6650326797385621,\n \"acc_stderr\": 0.019094228167000328,\n \
|
162 |
+
\ \"acc_norm\": 0.6650326797385621,\n \"acc_norm_stderr\": 0.019094228167000328\n\
|
163 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\
|
164 |
+
\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\
|
165 |
+
\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
166 |
+
: {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\
|
167 |
+
\ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\
|
168 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\
|
169 |
+
\ \"acc_stderr\": 0.025870646766169143,\n \"acc_norm\": 0.8407960199004975,\n\
|
170 |
+
\ \"acc_norm_stderr\": 0.025870646766169143\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
171 |
+
: {\n \"acc\": 0.87,\n \"acc_stderr\": 0.03379976689896309,\n \
|
172 |
+
\ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.03379976689896309\n \
|
173 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5180722891566265,\n\
|
174 |
+
\ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\
|
175 |
+
\ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
176 |
+
: {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\
|
177 |
+
\ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\
|
178 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4039167686658507,\n\
|
179 |
+
\ \"mc1_stderr\": 0.017177276822584284,\n \"mc2\": 0.5644227760342831,\n\
|
180 |
+
\ \"mc2_stderr\": 0.015511434380507188\n },\n \"harness|winogrande|5\"\
|
181 |
+
: {\n \"acc\": 0.7908445146014207,\n \"acc_stderr\": 0.011430450045881578\n\
|
182 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7043214556482184,\n \
|
183 |
+
\ \"acc_stderr\": 0.012570068947898767\n }\n}\n```"
|
184 |
+
repo_url: https://huggingface.co/Weyaxi/MetaMath-Tulpar-7b-v2-Slerp
|
185 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
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+
point_of_contact: clementine@hf.co
|
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+
configs:
|
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+
- config_name: harness_arc_challenge_25
|
189 |
+
data_files:
|
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+
- split: 2024_01_05T14_51_30.669474
|
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+
path:
|
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+
- '**/details_harness|arc:challenge|25_2024-01-05T14-51-30.669474.parquet'
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- split: latest
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path:
|
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- '**/details_harness|arc:challenge|25_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_gsm8k_5
|
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data_files:
|
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|gsm8k|5_2024-01-05T14-51-30.669474.parquet'
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path:
|
203 |
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- '**/details_harness|gsm8k|5_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_hellaswag_10
|
205 |
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data_files:
|
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hellaswag|10_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hellaswag|10_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_hendrycksTest_5
|
213 |
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data_files:
|
214 |
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T14-51-30.669474.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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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-management|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T14-51-30.669474.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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- '**/details_harness|hendrycksTest-virology|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T14-51-30.669474.parquet'
|
276 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T14-51-30.669474.parquet'
|
278 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T14-51-30.669474.parquet'
|
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|
281 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-management|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T14-51-30.669474.parquet'
|
324 |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T14-51-30.669474.parquet'
|
325 |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T14-51-30.669474.parquet'
|
326 |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T14-51-30.669474.parquet'
|
327 |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T14-51-30.669474.parquet'
|
328 |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T14-51-30.669474.parquet'
|
329 |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T14-51-30.669474.parquet'
|
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- '**/details_harness|hendrycksTest-virology|5_2024-01-05T14-51-30.669474.parquet'
|
331 |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T14-51-30.669474.parquet'
|
332 |
+
- config_name: harness_hendrycksTest_abstract_algebra_5
|
333 |
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data_files:
|
334 |
+
- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T14-51-30.669474.parquet'
|
340 |
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- config_name: harness_hendrycksTest_anatomy_5
|
341 |
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data_files:
|
342 |
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T14-51-30.669474.parquet'
|
348 |
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- config_name: harness_hendrycksTest_astronomy_5
|
349 |
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data_files:
|
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_hendrycksTest_business_ethics_5
|
357 |
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data_files:
|
358 |
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T14-51-30.669474.parquet'
|
364 |
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- config_name: harness_hendrycksTest_clinical_knowledge_5
|
365 |
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data_files:
|
366 |
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- split: 2024_01_05T14_51_30.669474
|
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path:
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-05T14-51-30.669474.parquet'
|
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|
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|
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|
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path:
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T14-51-30.669474.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_hendrycksTest_college_chemistry_5
|
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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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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T14-51-30.669474.parquet'
|
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- config_name: harness_hendrycksTest_college_computer_science_5
|
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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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|
438 |
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|
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|
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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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|
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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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|
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|
453 |
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|
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|
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|
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|
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|
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|
459 |
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|
460 |
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|
461 |
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|
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|
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|
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|
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|
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|
467 |
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|
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|
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|
470 |
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|
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|
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|
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|
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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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|
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|
481 |
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|
482 |
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|
483 |
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|
484 |
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|
485 |
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|
486 |
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|
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|
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
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|
495 |
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|
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|
498 |
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|
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|
500 |
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|
501 |
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|
502 |
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|
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|
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|
505 |
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|
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|
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|
508 |
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|
509 |
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|
510 |
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|
511 |
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|
512 |
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|
513 |
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|
514 |
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|
515 |
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|
516 |
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|
517 |
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|
518 |
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|
519 |
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|
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|
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|
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|
524 |
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|
525 |
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|
526 |
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|
527 |
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|
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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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|
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|
538 |
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|
539 |
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|
540 |
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|
541 |
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|
542 |
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|
543 |
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|
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|
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|
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|
548 |
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|
549 |
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|
550 |
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|
551 |
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|
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|
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555 |
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|
556 |
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|
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|
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|
559 |
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|
561 |
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|
562 |
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|
563 |
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|
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|
565 |
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|
566 |
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|
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|
569 |
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|
570 |
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|
571 |
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|
572 |
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|
573 |
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|
574 |
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|
575 |
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|
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|
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|
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|
580 |
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|
581 |
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|
582 |
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|
583 |
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|
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|
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|
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|
588 |
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|
589 |
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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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|
597 |
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|
598 |
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|
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|
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|
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
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|
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|
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|
610 |
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|
611 |
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|
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|
613 |
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|
614 |
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|
615 |
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|
617 |
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|
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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|
623 |
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|
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|
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|
627 |
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|
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|
629 |
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|
630 |
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|
631 |
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|
632 |
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|
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|
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|
635 |
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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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|
645 |
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|
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|
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|
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|
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|
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|
651 |
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|
652 |
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- config_name: harness_hendrycksTest_medical_genetics_5
|
653 |
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|
654 |
+
- split: 2024_01_05T14_51_30.669474
|
655 |
+
path:
|
656 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T14-51-30.669474.parquet'
|
657 |
+
- split: latest
|
658 |
+
path:
|
659 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T14-51-30.669474.parquet'
|
660 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
661 |
+
data_files:
|
662 |
+
- split: 2024_01_05T14_51_30.669474
|
663 |
+
path:
|
664 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T14-51-30.669474.parquet'
|
665 |
+
- split: latest
|
666 |
+
path:
|
667 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T14-51-30.669474.parquet'
|
668 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
669 |
+
data_files:
|
670 |
+
- split: 2024_01_05T14_51_30.669474
|
671 |
+
path:
|
672 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T14-51-30.669474.parquet'
|
673 |
+
- split: latest
|
674 |
+
path:
|
675 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T14-51-30.669474.parquet'
|
676 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
677 |
+
data_files:
|
678 |
+
- split: 2024_01_05T14_51_30.669474
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T14-51-30.669474.parquet'
|
681 |
+
- split: latest
|
682 |
+
path:
|
683 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T14-51-30.669474.parquet'
|
684 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
685 |
+
data_files:
|
686 |
+
- split: 2024_01_05T14_51_30.669474
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T14-51-30.669474.parquet'
|
689 |
+
- split: latest
|
690 |
+
path:
|
691 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T14-51-30.669474.parquet'
|
692 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
693 |
+
data_files:
|
694 |
+
- split: 2024_01_05T14_51_30.669474
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T14-51-30.669474.parquet'
|
697 |
+
- split: latest
|
698 |
+
path:
|
699 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T14-51-30.669474.parquet'
|
700 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
701 |
+
data_files:
|
702 |
+
- split: 2024_01_05T14_51_30.669474
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T14-51-30.669474.parquet'
|
705 |
+
- split: latest
|
706 |
+
path:
|
707 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T14-51-30.669474.parquet'
|
708 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
709 |
+
data_files:
|
710 |
+
- split: 2024_01_05T14_51_30.669474
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T14-51-30.669474.parquet'
|
713 |
+
- split: latest
|
714 |
+
path:
|
715 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T14-51-30.669474.parquet'
|
716 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
717 |
+
data_files:
|
718 |
+
- split: 2024_01_05T14_51_30.669474
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T14-51-30.669474.parquet'
|
721 |
+
- split: latest
|
722 |
+
path:
|
723 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T14-51-30.669474.parquet'
|
724 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
725 |
+
data_files:
|
726 |
+
- split: 2024_01_05T14_51_30.669474
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T14-51-30.669474.parquet'
|
729 |
+
- split: latest
|
730 |
+
path:
|
731 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T14-51-30.669474.parquet'
|
732 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
733 |
+
data_files:
|
734 |
+
- split: 2024_01_05T14_51_30.669474
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T14-51-30.669474.parquet'
|
737 |
+
- split: latest
|
738 |
+
path:
|
739 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T14-51-30.669474.parquet'
|
740 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
741 |
+
data_files:
|
742 |
+
- split: 2024_01_05T14_51_30.669474
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T14-51-30.669474.parquet'
|
745 |
+
- split: latest
|
746 |
+
path:
|
747 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T14-51-30.669474.parquet'
|
748 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
749 |
+
data_files:
|
750 |
+
- split: 2024_01_05T14_51_30.669474
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T14-51-30.669474.parquet'
|
753 |
+
- split: latest
|
754 |
+
path:
|
755 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T14-51-30.669474.parquet'
|
756 |
+
- config_name: harness_hendrycksTest_sociology_5
|
757 |
+
data_files:
|
758 |
+
- split: 2024_01_05T14_51_30.669474
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T14-51-30.669474.parquet'
|
761 |
+
- split: latest
|
762 |
+
path:
|
763 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T14-51-30.669474.parquet'
|
764 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
765 |
+
data_files:
|
766 |
+
- split: 2024_01_05T14_51_30.669474
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T14-51-30.669474.parquet'
|
769 |
+
- split: latest
|
770 |
+
path:
|
771 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T14-51-30.669474.parquet'
|
772 |
+
- config_name: harness_hendrycksTest_virology_5
|
773 |
+
data_files:
|
774 |
+
- split: 2024_01_05T14_51_30.669474
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T14-51-30.669474.parquet'
|
777 |
+
- split: latest
|
778 |
+
path:
|
779 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T14-51-30.669474.parquet'
|
780 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
781 |
+
data_files:
|
782 |
+
- split: 2024_01_05T14_51_30.669474
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T14-51-30.669474.parquet'
|
785 |
+
- split: latest
|
786 |
+
path:
|
787 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T14-51-30.669474.parquet'
|
788 |
+
- config_name: harness_truthfulqa_mc_0
|
789 |
+
data_files:
|
790 |
+
- split: 2024_01_05T14_51_30.669474
|
791 |
+
path:
|
792 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T14-51-30.669474.parquet'
|
793 |
+
- split: latest
|
794 |
+
path:
|
795 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T14-51-30.669474.parquet'
|
796 |
+
- config_name: harness_winogrande_5
|
797 |
+
data_files:
|
798 |
+
- split: 2024_01_05T14_51_30.669474
|
799 |
+
path:
|
800 |
+
- '**/details_harness|winogrande|5_2024-01-05T14-51-30.669474.parquet'
|
801 |
+
- split: latest
|
802 |
+
path:
|
803 |
+
- '**/details_harness|winogrande|5_2024-01-05T14-51-30.669474.parquet'
|
804 |
+
- config_name: results
|
805 |
+
data_files:
|
806 |
+
- split: 2024_01_05T14_51_30.669474
|
807 |
+
path:
|
808 |
+
- results_2024-01-05T14-51-30.669474.parquet
|
809 |
+
- split: latest
|
810 |
+
path:
|
811 |
+
- results_2024-01-05T14-51-30.669474.parquet
|
812 |
+
---
|
813 |
+
|
814 |
+
# Dataset Card for Evaluation run of Weyaxi/MetaMath-Tulpar-7b-v2-Slerp
|
815 |
+
|
816 |
+
<!-- Provide a quick summary of the dataset. -->
|
817 |
+
|
818 |
+
Dataset automatically created during the evaluation run of model [Weyaxi/MetaMath-Tulpar-7b-v2-Slerp](https://huggingface.co/Weyaxi/MetaMath-Tulpar-7b-v2-Slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
819 |
+
|
820 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
821 |
+
|
822 |
+
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
|
823 |
+
|
824 |
+
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
825 |
+
|
826 |
+
To load the details from a run, you can for instance do the following:
|
827 |
+
```python
|
828 |
+
from datasets import load_dataset
|
829 |
+
data = load_dataset("open-llm-leaderboard/details_Weyaxi__MetaMath-Tulpar-7b-v2-Slerp",
|
830 |
+
"harness_winogrande_5",
|
831 |
+
split="train")
|
832 |
+
```
|
833 |
+
|
834 |
+
## Latest results
|
835 |
+
|
836 |
+
These are the [latest results from run 2024-01-05T14:51:30.669474](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__MetaMath-Tulpar-7b-v2-Slerp/blob/main/results_2024-01-05T14-51-30.669474.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
|
837 |
+
|
838 |
+
```python
|
839 |
+
{
|
840 |
+
"all": {
|
841 |
+
"acc": 0.6379672317121475,
|
842 |
+
"acc_stderr": 0.032268482670470874,
|
843 |
+
"acc_norm": 0.6378521186236827,
|
844 |
+
"acc_norm_stderr": 0.0329317188618121,
|
845 |
+
"mc1": 0.4039167686658507,
|
846 |
+
"mc1_stderr": 0.017177276822584284,
|
847 |
+
"mc2": 0.5644227760342831,
|
848 |
+
"mc2_stderr": 0.015511434380507188
|
849 |
+
},
|
850 |
+
"harness|arc:challenge|25": {
|
851 |
+
"acc": 0.6305460750853242,
|
852 |
+
"acc_stderr": 0.01410457836649189,
|
853 |
+
"acc_norm": 0.659556313993174,
|
854 |
+
"acc_norm_stderr": 0.013847460518892978
|
855 |
+
},
|
856 |
+
"harness|hellaswag|10": {
|
857 |
+
"acc": 0.6676956781517626,
|
858 |
+
"acc_stderr": 0.004700767741735563,
|
859 |
+
"acc_norm": 0.8511252738498307,
|
860 |
+
"acc_norm_stderr": 0.0035523745313052004
|
861 |
+
},
|
862 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
863 |
+
"acc": 0.24,
|
864 |
+
"acc_stderr": 0.042923469599092816,
|
865 |
+
"acc_norm": 0.24,
|
866 |
+
"acc_norm_stderr": 0.042923469599092816
|
867 |
+
},
|
868 |
+
"harness|hendrycksTest-anatomy|5": {
|
869 |
+
"acc": 0.6222222222222222,
|
870 |
+
"acc_stderr": 0.04188307537595852,
|
871 |
+
"acc_norm": 0.6222222222222222,
|
872 |
+
"acc_norm_stderr": 0.04188307537595852
|
873 |
+
},
|
874 |
+
"harness|hendrycksTest-astronomy|5": {
|
875 |
+
"acc": 0.7171052631578947,
|
876 |
+
"acc_stderr": 0.03665349695640767,
|
877 |
+
"acc_norm": 0.7171052631578947,
|
878 |
+
"acc_norm_stderr": 0.03665349695640767
|
879 |
+
},
|
880 |
+
"harness|hendrycksTest-business_ethics|5": {
|
881 |
+
"acc": 0.61,
|
882 |
+
"acc_stderr": 0.04902071300001975,
|
883 |
+
"acc_norm": 0.61,
|
884 |
+
"acc_norm_stderr": 0.04902071300001975
|
885 |
+
},
|
886 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
887 |
+
"acc": 0.7132075471698113,
|
888 |
+
"acc_stderr": 0.027834912527544067,
|
889 |
+
"acc_norm": 0.7132075471698113,
|
890 |
+
"acc_norm_stderr": 0.027834912527544067
|
891 |
+
},
|
892 |
+
"harness|hendrycksTest-college_biology|5": {
|
893 |
+
"acc": 0.7013888888888888,
|
894 |
+
"acc_stderr": 0.03827052357950756,
|
895 |
+
"acc_norm": 0.7013888888888888,
|
896 |
+
"acc_norm_stderr": 0.03827052357950756
|
897 |
+
},
|
898 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
899 |
+
"acc": 0.43,
|
900 |
+
"acc_stderr": 0.04975698519562428,
|
901 |
+
"acc_norm": 0.43,
|
902 |
+
"acc_norm_stderr": 0.04975698519562428
|
903 |
+
},
|
904 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
905 |
+
"acc": 0.49,
|
906 |
+
"acc_stderr": 0.05024183937956912,
|
907 |
+
"acc_norm": 0.49,
|
908 |
+
"acc_norm_stderr": 0.05024183937956912
|
909 |
+
},
|
910 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
911 |
+
"acc": 0.31,
|
912 |
+
"acc_stderr": 0.04648231987117316,
|
913 |
+
"acc_norm": 0.31,
|
914 |
+
"acc_norm_stderr": 0.04648231987117316
|
915 |
+
},
|
916 |
+
"harness|hendrycksTest-college_medicine|5": {
|
917 |
+
"acc": 0.653179190751445,
|
918 |
+
"acc_stderr": 0.036291466701596636,
|
919 |
+
"acc_norm": 0.653179190751445,
|
920 |
+
"acc_norm_stderr": 0.036291466701596636
|
921 |
+
},
|
922 |
+
"harness|hendrycksTest-college_physics|5": {
|
923 |
+
"acc": 0.4019607843137255,
|
924 |
+
"acc_stderr": 0.048786087144669955,
|
925 |
+
"acc_norm": 0.4019607843137255,
|
926 |
+
"acc_norm_stderr": 0.048786087144669955
|
927 |
+
},
|
928 |
+
"harness|hendrycksTest-computer_security|5": {
|
929 |
+
"acc": 0.79,
|
930 |
+
"acc_stderr": 0.04093601807403326,
|
931 |
+
"acc_norm": 0.79,
|
932 |
+
"acc_norm_stderr": 0.04093601807403326
|
933 |
+
},
|
934 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
935 |
+
"acc": 0.5829787234042553,
|
936 |
+
"acc_stderr": 0.03223276266711712,
|
937 |
+
"acc_norm": 0.5829787234042553,
|
938 |
+
"acc_norm_stderr": 0.03223276266711712
|
939 |
+
},
|
940 |
+
"harness|hendrycksTest-econometrics|5": {
|
941 |
+
"acc": 0.4824561403508772,
|
942 |
+
"acc_stderr": 0.04700708033551038,
|
943 |
+
"acc_norm": 0.4824561403508772,
|
944 |
+
"acc_norm_stderr": 0.04700708033551038
|
945 |
+
},
|
946 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
947 |
+
"acc": 0.5241379310344828,
|
948 |
+
"acc_stderr": 0.0416180850350153,
|
949 |
+
"acc_norm": 0.5241379310344828,
|
950 |
+
"acc_norm_stderr": 0.0416180850350153
|
951 |
+
},
|
952 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
953 |
+
"acc": 0.41005291005291006,
|
954 |
+
"acc_stderr": 0.025331202438944433,
|
955 |
+
"acc_norm": 0.41005291005291006,
|
956 |
+
"acc_norm_stderr": 0.025331202438944433
|
957 |
+
},
|
958 |
+
"harness|hendrycksTest-formal_logic|5": {
|
959 |
+
"acc": 0.4365079365079365,
|
960 |
+
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},
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},
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"harness|hendrycksTest-medical_genetics|5": {
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},
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"harness|hendrycksTest-miscellaneous|5": {
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"acc": 0.8250319284802043,
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1110 |
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},
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1115 |
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},
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1120 |
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"harness|hendrycksTest-moral_scenarios|5": {
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1121 |
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1125 |
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},
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1126 |
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"harness|hendrycksTest-nutrition|5": {
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"acc": 0.7156862745098039,
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},
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1133 |
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"acc": 0.7138263665594855,
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1137 |
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},
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"harness|hendrycksTest-prehistory|5": {
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"acc": 0.7283950617283951,
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1143 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
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1145 |
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"acc": 0.475177304964539,
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1146 |
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1149 |
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},
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"harness|hendrycksTest-professional_law|5": {
|
1151 |
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"acc": 0.4602346805736636,
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1154 |
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1155 |
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},
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"harness|hendrycksTest-professional_medicine|5": {
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"acc": 0.6580882352941176,
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1161 |
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},
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1162 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1163 |
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"acc": 0.6650326797385621,
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1164 |
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1166 |
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"acc_norm_stderr": 0.019094228167000328
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1167 |
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},
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1168 |
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"harness|hendrycksTest-public_relations|5": {
|
1169 |
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"acc": 0.6545454545454545,
|
1170 |
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1172 |
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1173 |
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},
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1174 |
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"harness|hendrycksTest-security_studies|5": {
|
1175 |
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"acc": 0.7306122448979592,
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1176 |
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1177 |
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1178 |
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1179 |
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},
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1180 |
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"harness|hendrycksTest-sociology|5": {
|
1181 |
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"acc": 0.8407960199004975,
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1182 |
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1185 |
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},
|
1186 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1187 |
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"acc": 0.87,
|
1188 |
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1189 |
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"acc_norm": 0.87,
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1190 |
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|
1191 |
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},
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1192 |
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"harness|hendrycksTest-virology|5": {
|
1193 |
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"acc": 0.5180722891566265,
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1194 |
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1196 |
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1197 |
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},
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1198 |
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"harness|hendrycksTest-world_religions|5": {
|
1199 |
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"acc": 0.8070175438596491,
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1200 |
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1201 |
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|
1203 |
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},
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1204 |
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"harness|truthfulqa:mc|0": {
|
1205 |
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"mc1": 0.4039167686658507,
|
1206 |
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1207 |
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"mc2": 0.5644227760342831,
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1208 |
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"mc2_stderr": 0.015511434380507188
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1209 |
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},
|
1210 |
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"harness|winogrande|5": {
|
1211 |
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"acc": 0.7908445146014207,
|
1212 |
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|
1213 |
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},
|
1214 |
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"harness|gsm8k|5": {
|
1215 |
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"acc": 0.7043214556482184,
|
1216 |
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"acc_stderr": 0.012570068947898767
|
1217 |
+
}
|
1218 |
+
}
|
1219 |
+
```
|
1220 |
+
|
1221 |
+
## Dataset Details
|
1222 |
+
|
1223 |
+
### Dataset Description
|
1224 |
+
|
1225 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
1226 |
+
|
1227 |
+
|
1228 |
+
|
1229 |
+
- **Curated by:** [More Information Needed]
|
1230 |
+
- **Funded by [optional]:** [More Information Needed]
|
1231 |
+
- **Shared by [optional]:** [More Information Needed]
|
1232 |
+
- **Language(s) (NLP):** [More Information Needed]
|
1233 |
+
- **License:** [More Information Needed]
|
1234 |
+
|
1235 |
+
### Dataset Sources [optional]
|
1236 |
+
|
1237 |
+
<!-- Provide the basic links for the dataset. -->
|
1238 |
+
|
1239 |
+
- **Repository:** [More Information Needed]
|
1240 |
+
- **Paper [optional]:** [More Information Needed]
|
1241 |
+
- **Demo [optional]:** [More Information Needed]
|
1242 |
+
|
1243 |
+
## Uses
|
1244 |
+
|
1245 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
1246 |
+
|
1247 |
+
### Direct Use
|
1248 |
+
|
1249 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
1250 |
+
|
1251 |
+
[More Information Needed]
|
1252 |
+
|
1253 |
+
### Out-of-Scope Use
|
1254 |
+
|
1255 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
1256 |
+
|
1257 |
+
[More Information Needed]
|
1258 |
+
|
1259 |
+
## Dataset Structure
|
1260 |
+
|
1261 |
+
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
|
1262 |
+
|
1263 |
+
[More Information Needed]
|
1264 |
+
|
1265 |
+
## Dataset Creation
|
1266 |
+
|
1267 |
+
### Curation Rationale
|
1268 |
+
|
1269 |
+
<!-- Motivation for the creation of this dataset. -->
|
1270 |
+
|
1271 |
+
[More Information Needed]
|
1272 |
+
|
1273 |
+
### Source Data
|
1274 |
+
|
1275 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
1276 |
+
|
1277 |
+
#### Data Collection and Processing
|
1278 |
+
|
1279 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
1280 |
+
|
1281 |
+
[More Information Needed]
|
1282 |
+
|
1283 |
+
#### Who are the source data producers?
|
1284 |
+
|
1285 |
+
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
|
1286 |
+
|
1287 |
+
[More Information Needed]
|
1288 |
+
|
1289 |
+
### Annotations [optional]
|
1290 |
+
|
1291 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
1292 |
+
|
1293 |
+
#### Annotation process
|
1294 |
+
|
1295 |
+
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
|
1296 |
+
|
1297 |
+
[More Information Needed]
|
1298 |
+
|
1299 |
+
#### Who are the annotators?
|
1300 |
+
|
1301 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
1302 |
+
|
1303 |
+
[More Information Needed]
|
1304 |
+
|
1305 |
+
#### Personal and Sensitive Information
|
1306 |
+
|
1307 |
+
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
|
1308 |
+
|
1309 |
+
[More Information Needed]
|
1310 |
+
|
1311 |
+
## Bias, Risks, and Limitations
|
1312 |
+
|
1313 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
1314 |
+
|
1315 |
+
[More Information Needed]
|
1316 |
+
|
1317 |
+
### Recommendations
|
1318 |
+
|
1319 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
1320 |
+
|
1321 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
1322 |
+
|
1323 |
+
## Citation [optional]
|
1324 |
+
|
1325 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
1326 |
+
|
1327 |
+
**BibTeX:**
|
1328 |
+
|
1329 |
+
[More Information Needed]
|
1330 |
+
|
1331 |
+
**APA:**
|
1332 |
+
|
1333 |
+
[More Information Needed]
|
1334 |
+
|
1335 |
+
## Glossary [optional]
|
1336 |
+
|
1337 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
1338 |
+
|
1339 |
+
[More Information Needed]
|
1340 |
+
|
1341 |
+
## More Information [optional]
|
1342 |
+
|
1343 |
+
[More Information Needed]
|
1344 |
+
|
1345 |
+
## Dataset Card Authors [optional]
|
1346 |
+
|
1347 |
+
[More Information Needed]
|
1348 |
+
|
1349 |
+
## Dataset Card Contact
|
1350 |
+
|
1351 |
+
[More Information Needed]
|