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a1c0a9d
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Parent(s):
2c1e0bb
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README.md
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1 |
+
---
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+
pretty_name: Evaluation run of qiyinmiss/My_GPT2
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [qiyinmiss/My_GPT2](https://huggingface.co/qiyinmiss/My_GPT2) on the [Open LLM\
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+
\ 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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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_qiyinmiss__My_GPT2\"\
|
15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
16 |
+
These are the [latest results from run 2023-12-04T18:10:51.654289](https://huggingface.co/datasets/open-llm-leaderboard/details_qiyinmiss__My_GPT2/blob/main/results_2023-12-04T18-10-51.654289.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\": 0.2578870030806924,\n\
|
20 |
+
\ \"acc_stderr\": 0.030639295152135662,\n \"acc_norm\": 0.2586921012373598,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.031410248419889694,\n \"mc1\": 0.22766217870257038,\n\
|
22 |
+
\ \"mc1_stderr\": 0.01467925503211107,\n \"mc2\": 0.4073203809998297,\n\
|
23 |
+
\ \"mc2_stderr\": 0.014931113118872399\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.19880546075085323,\n \"acc_stderr\": 0.011662850198175539,\n\
|
25 |
+
\ \"acc_norm\": 0.21928327645051193,\n \"acc_norm_stderr\": 0.012091245787615723\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.29267078271260705,\n\
|
27 |
+
\ \"acc_stderr\": 0.004540586983229993,\n \"acc_norm\": 0.3158733320055766,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.004639126951051421\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.21,\n \"acc_stderr\": 0.040936018074033256,\n \
|
30 |
+
\ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.040936018074033256\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.23703703703703705,\n\
|
32 |
+
\ \"acc_stderr\": 0.03673731683969506,\n \"acc_norm\": 0.23703703703703705,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.03673731683969506\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.16447368421052633,\n \"acc_stderr\": 0.0301675334686327,\n\
|
35 |
+
\ \"acc_norm\": 0.16447368421052633,\n \"acc_norm_stderr\": 0.0301675334686327\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.16,\n\
|
37 |
+
\ \"acc_stderr\": 0.03684529491774711,\n \"acc_norm\": 0.16,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.03684529491774711\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.23773584905660378,\n \"acc_stderr\": 0.02619980880756194,\n\
|
40 |
+
\ \"acc_norm\": 0.23773584905660378,\n \"acc_norm_stderr\": 0.02619980880756194\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2222222222222222,\n\
|
42 |
+
\ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.2222222222222222,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.19,\n \"acc_stderr\": 0.039427724440366234,\n \
|
45 |
+
\ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.039427724440366234\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
|
47 |
+
acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\"\
|
48 |
+
: 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
|
50 |
+
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.23699421965317918,\n\
|
52 |
+
\ \"acc_stderr\": 0.03242414757483098,\n \"acc_norm\": 0.23699421965317918,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03242414757483098\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.043364327079931785,\n\
|
55 |
+
\ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.043364327079931785\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.16,\n \"acc_stderr\": 0.03684529491774709,\n \"acc_norm\": 0.16,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.03684529491774709\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.2765957446808511,\n \"acc_stderr\": 0.029241883869628834,\n\
|
60 |
+
\ \"acc_norm\": 0.2765957446808511,\n \"acc_norm_stderr\": 0.029241883869628834\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\
|
62 |
+
\ \"acc_stderr\": 0.042270544512322,\n \"acc_norm\": 0.2807017543859649,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.042270544512322\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.03565998174135302,\n\
|
65 |
+
\ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.03565998174135302\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.25396825396825395,\n \"acc_stderr\": 0.022418042891113942,\n \"\
|
68 |
+
acc_norm\": 0.25396825396825395,\n \"acc_norm_stderr\": 0.022418042891113942\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.14285714285714285,\n\
|
70 |
+
\ \"acc_stderr\": 0.0312984318574381,\n \"acc_norm\": 0.14285714285714285,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.0312984318574381\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.15,\n \"acc_stderr\": 0.035887028128263686,\n \
|
73 |
+
\ \"acc_norm\": 0.15,\n \"acc_norm_stderr\": 0.035887028128263686\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
|
75 |
+
: 0.3,\n \"acc_stderr\": 0.026069362295335137,\n \"acc_norm\": 0.3,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.026069362295335137\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.26108374384236455,\n \"acc_stderr\": 0.030903796952114475,\n\
|
78 |
+
\ \"acc_norm\": 0.26108374384236455,\n \"acc_norm_stderr\": 0.030903796952114475\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768079,\n \"acc_norm\"\
|
81 |
+
: 0.26,\n \"acc_norm_stderr\": 0.04408440022768079\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\
|
83 |
+
\ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.35353535353535354,\n \"acc_stderr\": 0.03406086723547153,\n \"\
|
86 |
+
acc_norm\": 0.35353535353535354,\n \"acc_norm_stderr\": 0.03406086723547153\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.36787564766839376,\n \"acc_stderr\": 0.03480175668466036,\n\
|
89 |
+
\ \"acc_norm\": 0.36787564766839376,\n \"acc_norm_stderr\": 0.03480175668466036\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.2794871794871795,\n \"acc_stderr\": 0.022752388839776826,\n\
|
92 |
+
\ \"acc_norm\": 0.2794871794871795,\n \"acc_norm_stderr\": 0.022752388839776826\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073838,\n \
|
95 |
+
\ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073838\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.28991596638655465,\n \"acc_stderr\": 0.029472485833136098,\n\
|
98 |
+
\ \"acc_norm\": 0.28991596638655465,\n \"acc_norm_stderr\": 0.029472485833136098\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763744,\n \"\
|
101 |
+
acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763744\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.3486238532110092,\n \"acc_stderr\": 0.020431254090714328,\n \"\
|
104 |
+
acc_norm\": 0.3486238532110092,\n \"acc_norm_stderr\": 0.020431254090714328\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.4722222222222222,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\
|
107 |
+
: 0.4722222222222222,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\
|
108 |
+
\ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.2549019607843137,\n\
|
109 |
+
\ \"acc_stderr\": 0.030587591351604243,\n \"acc_norm\": 0.2549019607843137,\n\
|
110 |
+
\ \"acc_norm_stderr\": 0.030587591351604243\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
|
111 |
+
: {\n \"acc\": 0.2489451476793249,\n \"acc_stderr\": 0.028146970599422644,\n\
|
112 |
+
\ \"acc_norm\": 0.2489451476793249,\n \"acc_norm_stderr\": 0.028146970599422644\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.3004484304932735,\n\
|
114 |
+
\ \"acc_stderr\": 0.030769352008229143,\n \"acc_norm\": 0.3004484304932735,\n\
|
115 |
+
\ \"acc_norm_stderr\": 0.030769352008229143\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
116 |
+
: {\n \"acc\": 0.26717557251908397,\n \"acc_stderr\": 0.038808483010823944,\n\
|
117 |
+
\ \"acc_norm\": 0.26717557251908397,\n \"acc_norm_stderr\": 0.038808483010823944\n\
|
118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
119 |
+
\ 0.32231404958677684,\n \"acc_stderr\": 0.04266416363352168,\n \"\
|
120 |
+
acc_norm\": 0.32231404958677684,\n \"acc_norm_stderr\": 0.04266416363352168\n\
|
121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.21296296296296297,\n\
|
122 |
+
\ \"acc_stderr\": 0.03957835471980981,\n \"acc_norm\": 0.21296296296296297,\n\
|
123 |
+
\ \"acc_norm_stderr\": 0.03957835471980981\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
124 |
+
: {\n \"acc\": 0.25766871165644173,\n \"acc_stderr\": 0.03436150827846917,\n\
|
125 |
+
\ \"acc_norm\": 0.25766871165644173,\n \"acc_norm_stderr\": 0.03436150827846917\n\
|
126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\
|
127 |
+
\ \"acc_stderr\": 0.04059867246952688,\n \"acc_norm\": 0.24107142857142858,\n\
|
128 |
+
\ \"acc_norm_stderr\": 0.04059867246952688\n },\n \"harness|hendrycksTest-management|5\"\
|
129 |
+
: {\n \"acc\": 0.34951456310679613,\n \"acc_stderr\": 0.04721188506097173,\n\
|
130 |
+
\ \"acc_norm\": 0.34951456310679613,\n \"acc_norm_stderr\": 0.04721188506097173\n\
|
131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.1752136752136752,\n\
|
132 |
+
\ \"acc_stderr\": 0.02490443909891822,\n \"acc_norm\": 0.1752136752136752,\n\
|
133 |
+
\ \"acc_norm_stderr\": 0.02490443909891822\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
134 |
+
: {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \
|
135 |
+
\ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \
|
136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.21839080459770116,\n\
|
137 |
+
\ \"acc_stderr\": 0.01477435831993449,\n \"acc_norm\": 0.21839080459770116,\n\
|
138 |
+
\ \"acc_norm_stderr\": 0.01477435831993449\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
139 |
+
: {\n \"acc\": 0.23699421965317918,\n \"acc_stderr\": 0.02289408248992599,\n\
|
140 |
+
\ \"acc_norm\": 0.23699421965317918,\n \"acc_norm_stderr\": 0.02289408248992599\n\
|
141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n\
|
142 |
+
\ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\
|
143 |
+
\ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
144 |
+
: {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.023805186524888146,\n\
|
145 |
+
\ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.023805186524888146\n\
|
146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.24758842443729903,\n\
|
147 |
+
\ \"acc_stderr\": 0.024513879973621967,\n \"acc_norm\": 0.24758842443729903,\n\
|
148 |
+
\ \"acc_norm_stderr\": 0.024513879973621967\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
149 |
+
: {\n \"acc\": 0.22530864197530864,\n \"acc_stderr\": 0.023246202647819746,\n\
|
150 |
+
\ \"acc_norm\": 0.22530864197530864,\n \"acc_norm_stderr\": 0.023246202647819746\n\
|
151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
152 |
+
acc\": 0.26595744680851063,\n \"acc_stderr\": 0.026358065698880592,\n \
|
153 |
+
\ \"acc_norm\": 0.26595744680851063,\n \"acc_norm_stderr\": 0.026358065698880592\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24771838331160365,\n\
|
155 |
+
\ \"acc_stderr\": 0.011025499291443737,\n \"acc_norm\": 0.24771838331160365,\n\
|
156 |
+
\ \"acc_norm_stderr\": 0.011025499291443737\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
157 |
+
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.030161911930767102,\n\
|
158 |
+
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.030161911930767102\n\
|
159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
160 |
+
acc\": 0.2647058823529412,\n \"acc_stderr\": 0.017848089574913222,\n \
|
161 |
+
\ \"acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.017848089574913222\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.21818181818181817,\n\
|
163 |
+
\ \"acc_stderr\": 0.03955932861795833,\n \"acc_norm\": 0.21818181818181817,\n\
|
164 |
+
\ \"acc_norm_stderr\": 0.03955932861795833\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
165 |
+
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.031362502409358936,\n \
|
166 |
+
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.031362502409358936\n \
|
167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.22885572139303484,\n\
|
168 |
+
\ \"acc_stderr\": 0.029705284056772426,\n \"acc_norm\": 0.22885572139303484,\n\
|
169 |
+
\ \"acc_norm_stderr\": 0.029705284056772426\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
170 |
+
: {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768079,\n \
|
171 |
+
\ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768079\n \
|
172 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.1927710843373494,\n\
|
173 |
+
\ \"acc_stderr\": 0.030709824050565274,\n \"acc_norm\": 0.1927710843373494,\n\
|
174 |
+
\ \"acc_norm_stderr\": 0.030709824050565274\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
175 |
+
: {\n \"acc\": 0.21052631578947367,\n \"acc_stderr\": 0.0312678171466318,\n\
|
176 |
+
\ \"acc_norm\": 0.21052631578947367,\n \"acc_norm_stderr\": 0.0312678171466318\n\
|
177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.22766217870257038,\n\
|
178 |
+
\ \"mc1_stderr\": 0.01467925503211107,\n \"mc2\": 0.4073203809998297,\n\
|
179 |
+
\ \"mc2_stderr\": 0.014931113118872399\n },\n \"harness|winogrande|5\"\
|
180 |
+
: {\n \"acc\": 0.505130228887135,\n \"acc_stderr\": 0.014051745961790513\n\
|
181 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.006823351023502654,\n \
|
182 |
+
\ \"acc_stderr\": 0.0022675371022544736\n }\n}\n```"
|
183 |
+
repo_url: https://huggingface.co/qiyinmiss/My_GPT2
|
184 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
185 |
+
point_of_contact: clementine@hf.co
|
186 |
+
configs:
|
187 |
+
- config_name: harness_arc_challenge_25
|
188 |
+
data_files:
|
189 |
+
- split: 2023_12_04T18_10_51.654289
|
190 |
+
path:
|
191 |
+
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|
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- config_name: harness_hendrycksTest_college_computer_science_5
|
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|
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|
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path:
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-04T18-10-51.654289.parquet'
|
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|
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|
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|
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- config_name: harness_hendrycksTest_college_mathematics_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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|
403 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
441 |
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|
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|
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|
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|
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|
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|
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|
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|
449 |
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|
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|
451 |
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|
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|
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|
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|
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|
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|
457 |
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|
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|
459 |
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|
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|
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|
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|
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|
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|
465 |
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|
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|
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|
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|
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|
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|
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|
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|
473 |
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|
474 |
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|
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|
476 |
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|
477 |
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|
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|
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|
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|
481 |
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|
482 |
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|
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|
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|
485 |
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|
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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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|
494 |
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495 |
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|
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
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|
504 |
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|
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|
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|
507 |
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|
508 |
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|
509 |
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|
510 |
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|
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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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|
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|
519 |
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|
520 |
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|
521 |
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|
522 |
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|
523 |
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|
524 |
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|
525 |
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|
526 |
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|
527 |
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|
528 |
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|
529 |
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|
530 |
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|
531 |
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|
532 |
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|
533 |
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|
534 |
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535 |
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|
536 |
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|
537 |
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|
538 |
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|
539 |
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|
540 |
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|
541 |
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|
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543 |
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|
544 |
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|
545 |
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|
546 |
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|
547 |
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|
548 |
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|
549 |
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|
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551 |
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|
552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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|
557 |
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|
558 |
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559 |
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|
560 |
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|
561 |
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|
562 |
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|
563 |
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|
564 |
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|
565 |
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|
566 |
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|
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|
569 |
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|
570 |
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|
571 |
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|
572 |
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|
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|
574 |
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|
576 |
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|
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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|
583 |
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|
584 |
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|
585 |
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|
586 |
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|
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|
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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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|
596 |
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|
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|
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|
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|
601 |
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
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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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|
612 |
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|
613 |
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|
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|
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|
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618 |
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|
619 |
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|
620 |
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|
621 |
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|
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623 |
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|
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|
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626 |
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|
627 |
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|
628 |
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|
629 |
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|
630 |
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631 |
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|
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|
633 |
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|
634 |
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|
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|
636 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
650 |
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|
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|
652 |
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|
653 |
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|
654 |
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|
655 |
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|
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|
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|
658 |
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|
659 |
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|
660 |
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|
661 |
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|
662 |
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|
663 |
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|
664 |
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|
665 |
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|
666 |
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|
667 |
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|
668 |
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|
669 |
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|
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|
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|
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|
673 |
+
path:
|
674 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-04T18-10-51.654289.parquet'
|
675 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
676 |
+
data_files:
|
677 |
+
- split: 2023_12_04T18_10_51.654289
|
678 |
+
path:
|
679 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-10-51.654289.parquet'
|
680 |
+
- split: latest
|
681 |
+
path:
|
682 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-04T18-10-51.654289.parquet'
|
683 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
684 |
+
data_files:
|
685 |
+
- split: 2023_12_04T18_10_51.654289
|
686 |
+
path:
|
687 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-10-51.654289.parquet'
|
688 |
+
- split: latest
|
689 |
+
path:
|
690 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-04T18-10-51.654289.parquet'
|
691 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
692 |
+
data_files:
|
693 |
+
- split: 2023_12_04T18_10_51.654289
|
694 |
+
path:
|
695 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-10-51.654289.parquet'
|
696 |
+
- split: latest
|
697 |
+
path:
|
698 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-04T18-10-51.654289.parquet'
|
699 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
700 |
+
data_files:
|
701 |
+
- split: 2023_12_04T18_10_51.654289
|
702 |
+
path:
|
703 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-10-51.654289.parquet'
|
704 |
+
- split: latest
|
705 |
+
path:
|
706 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-04T18-10-51.654289.parquet'
|
707 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
708 |
+
data_files:
|
709 |
+
- split: 2023_12_04T18_10_51.654289
|
710 |
+
path:
|
711 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-10-51.654289.parquet'
|
712 |
+
- split: latest
|
713 |
+
path:
|
714 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-04T18-10-51.654289.parquet'
|
715 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
716 |
+
data_files:
|
717 |
+
- split: 2023_12_04T18_10_51.654289
|
718 |
+
path:
|
719 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-10-51.654289.parquet'
|
720 |
+
- split: latest
|
721 |
+
path:
|
722 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-04T18-10-51.654289.parquet'
|
723 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
724 |
+
data_files:
|
725 |
+
- split: 2023_12_04T18_10_51.654289
|
726 |
+
path:
|
727 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-10-51.654289.parquet'
|
728 |
+
- split: latest
|
729 |
+
path:
|
730 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-04T18-10-51.654289.parquet'
|
731 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
732 |
+
data_files:
|
733 |
+
- split: 2023_12_04T18_10_51.654289
|
734 |
+
path:
|
735 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-10-51.654289.parquet'
|
736 |
+
- split: latest
|
737 |
+
path:
|
738 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-04T18-10-51.654289.parquet'
|
739 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
740 |
+
data_files:
|
741 |
+
- split: 2023_12_04T18_10_51.654289
|
742 |
+
path:
|
743 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-10-51.654289.parquet'
|
744 |
+
- split: latest
|
745 |
+
path:
|
746 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-04T18-10-51.654289.parquet'
|
747 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
748 |
+
data_files:
|
749 |
+
- split: 2023_12_04T18_10_51.654289
|
750 |
+
path:
|
751 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-10-51.654289.parquet'
|
752 |
+
- split: latest
|
753 |
+
path:
|
754 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-04T18-10-51.654289.parquet'
|
755 |
+
- config_name: harness_hendrycksTest_sociology_5
|
756 |
+
data_files:
|
757 |
+
- split: 2023_12_04T18_10_51.654289
|
758 |
+
path:
|
759 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-10-51.654289.parquet'
|
760 |
+
- split: latest
|
761 |
+
path:
|
762 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-04T18-10-51.654289.parquet'
|
763 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
764 |
+
data_files:
|
765 |
+
- split: 2023_12_04T18_10_51.654289
|
766 |
+
path:
|
767 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-10-51.654289.parquet'
|
768 |
+
- split: latest
|
769 |
+
path:
|
770 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-04T18-10-51.654289.parquet'
|
771 |
+
- config_name: harness_hendrycksTest_virology_5
|
772 |
+
data_files:
|
773 |
+
- split: 2023_12_04T18_10_51.654289
|
774 |
+
path:
|
775 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-10-51.654289.parquet'
|
776 |
+
- split: latest
|
777 |
+
path:
|
778 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-04T18-10-51.654289.parquet'
|
779 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
780 |
+
data_files:
|
781 |
+
- split: 2023_12_04T18_10_51.654289
|
782 |
+
path:
|
783 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-10-51.654289.parquet'
|
784 |
+
- split: latest
|
785 |
+
path:
|
786 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-04T18-10-51.654289.parquet'
|
787 |
+
- config_name: harness_truthfulqa_mc_0
|
788 |
+
data_files:
|
789 |
+
- split: 2023_12_04T18_10_51.654289
|
790 |
+
path:
|
791 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-10-51.654289.parquet'
|
792 |
+
- split: latest
|
793 |
+
path:
|
794 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-04T18-10-51.654289.parquet'
|
795 |
+
- config_name: harness_winogrande_5
|
796 |
+
data_files:
|
797 |
+
- split: 2023_12_04T18_10_51.654289
|
798 |
+
path:
|
799 |
+
- '**/details_harness|winogrande|5_2023-12-04T18-10-51.654289.parquet'
|
800 |
+
- split: latest
|
801 |
+
path:
|
802 |
+
- '**/details_harness|winogrande|5_2023-12-04T18-10-51.654289.parquet'
|
803 |
+
- config_name: results
|
804 |
+
data_files:
|
805 |
+
- split: 2023_12_04T18_10_51.654289
|
806 |
+
path:
|
807 |
+
- results_2023-12-04T18-10-51.654289.parquet
|
808 |
+
- split: latest
|
809 |
+
path:
|
810 |
+
- results_2023-12-04T18-10-51.654289.parquet
|
811 |
+
---
|
812 |
+
|
813 |
+
# Dataset Card for Evaluation run of qiyinmiss/My_GPT2
|
814 |
+
|
815 |
+
## Dataset Description
|
816 |
+
|
817 |
+
- **Homepage:**
|
818 |
+
- **Repository:** https://huggingface.co/qiyinmiss/My_GPT2
|
819 |
+
- **Paper:**
|
820 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
821 |
+
- **Point of Contact:** clementine@hf.co
|
822 |
+
|
823 |
+
### Dataset Summary
|
824 |
+
|
825 |
+
Dataset automatically created during the evaluation run of model [qiyinmiss/My_GPT2](https://huggingface.co/qiyinmiss/My_GPT2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
826 |
+
|
827 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
828 |
+
|
829 |
+
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.
|
830 |
+
|
831 |
+
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)).
|
832 |
+
|
833 |
+
To load the details from a run, you can for instance do the following:
|
834 |
+
```python
|
835 |
+
from datasets import load_dataset
|
836 |
+
data = load_dataset("open-llm-leaderboard/details_qiyinmiss__My_GPT2",
|
837 |
+
"harness_winogrande_5",
|
838 |
+
split="train")
|
839 |
+
```
|
840 |
+
|
841 |
+
## Latest results
|
842 |
+
|
843 |
+
These are the [latest results from run 2023-12-04T18:10:51.654289](https://huggingface.co/datasets/open-llm-leaderboard/details_qiyinmiss__My_GPT2/blob/main/results_2023-12-04T18-10-51.654289.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):
|
844 |
+
|
845 |
+
```python
|
846 |
+
{
|
847 |
+
"all": {
|
848 |
+
"acc": 0.2578870030806924,
|
849 |
+
"acc_stderr": 0.030639295152135662,
|
850 |
+
"acc_norm": 0.2586921012373598,
|
851 |
+
"acc_norm_stderr": 0.031410248419889694,
|
852 |
+
"mc1": 0.22766217870257038,
|
853 |
+
"mc1_stderr": 0.01467925503211107,
|
854 |
+
"mc2": 0.4073203809998297,
|
855 |
+
"mc2_stderr": 0.014931113118872399
|
856 |
+
},
|
857 |
+
"harness|arc:challenge|25": {
|
858 |
+
"acc": 0.19880546075085323,
|
859 |
+
"acc_stderr": 0.011662850198175539,
|
860 |
+
"acc_norm": 0.21928327645051193,
|
861 |
+
"acc_norm_stderr": 0.012091245787615723
|
862 |
+
},
|
863 |
+
"harness|hellaswag|10": {
|
864 |
+
"acc": 0.29267078271260705,
|
865 |
+
"acc_stderr": 0.004540586983229993,
|
866 |
+
"acc_norm": 0.3158733320055766,
|
867 |
+
"acc_norm_stderr": 0.004639126951051421
|
868 |
+
},
|
869 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
870 |
+
"acc": 0.21,
|
871 |
+
"acc_stderr": 0.040936018074033256,
|
872 |
+
"acc_norm": 0.21,
|
873 |
+
"acc_norm_stderr": 0.040936018074033256
|
874 |
+
},
|
875 |
+
"harness|hendrycksTest-anatomy|5": {
|
876 |
+
"acc": 0.23703703703703705,
|
877 |
+
"acc_stderr": 0.03673731683969506,
|
878 |
+
"acc_norm": 0.23703703703703705,
|
879 |
+
"acc_norm_stderr": 0.03673731683969506
|
880 |
+
},
|
881 |
+
"harness|hendrycksTest-astronomy|5": {
|
882 |
+
"acc": 0.16447368421052633,
|
883 |
+
"acc_stderr": 0.0301675334686327,
|
884 |
+
"acc_norm": 0.16447368421052633,
|
885 |
+
"acc_norm_stderr": 0.0301675334686327
|
886 |
+
},
|
887 |
+
"harness|hendrycksTest-business_ethics|5": {
|
888 |
+
"acc": 0.16,
|
889 |
+
"acc_stderr": 0.03684529491774711,
|
890 |
+
"acc_norm": 0.16,
|
891 |
+
"acc_norm_stderr": 0.03684529491774711
|
892 |
+
},
|
893 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
894 |
+
"acc": 0.23773584905660378,
|
895 |
+
"acc_stderr": 0.02619980880756194,
|
896 |
+
"acc_norm": 0.23773584905660378,
|
897 |
+
"acc_norm_stderr": 0.02619980880756194
|
898 |
+
},
|
899 |
+
"harness|hendrycksTest-college_biology|5": {
|
900 |
+
"acc": 0.2222222222222222,
|
901 |
+
"acc_stderr": 0.03476590104304134,
|
902 |
+
"acc_norm": 0.2222222222222222,
|
903 |
+
"acc_norm_stderr": 0.03476590104304134
|
904 |
+
},
|
905 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
906 |
+
"acc": 0.19,
|
907 |
+
"acc_stderr": 0.039427724440366234,
|
908 |
+
"acc_norm": 0.19,
|
909 |
+
"acc_norm_stderr": 0.039427724440366234
|
910 |
+
},
|
911 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
912 |
+
"acc": 0.29,
|
913 |
+
"acc_stderr": 0.04560480215720684,
|
914 |
+
"acc_norm": 0.29,
|
915 |
+
"acc_norm_stderr": 0.04560480215720684
|
916 |
+
},
|
917 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
918 |
+
"acc": 0.3,
|
919 |
+
"acc_stderr": 0.046056618647183814,
|
920 |
+
"acc_norm": 0.3,
|
921 |
+
"acc_norm_stderr": 0.046056618647183814
|
922 |
+
},
|
923 |
+
"harness|hendrycksTest-college_medicine|5": {
|
924 |
+
"acc": 0.23699421965317918,
|
925 |
+
"acc_stderr": 0.03242414757483098,
|
926 |
+
"acc_norm": 0.23699421965317918,
|
927 |
+
"acc_norm_stderr": 0.03242414757483098
|
928 |
+
},
|
929 |
+
"harness|hendrycksTest-college_physics|5": {
|
930 |
+
"acc": 0.2549019607843137,
|
931 |
+
"acc_stderr": 0.043364327079931785,
|
932 |
+
"acc_norm": 0.2549019607843137,
|
933 |
+
"acc_norm_stderr": 0.043364327079931785
|
934 |
+
},
|
935 |
+
"harness|hendrycksTest-computer_security|5": {
|
936 |
+
"acc": 0.16,
|
937 |
+
"acc_stderr": 0.03684529491774709,
|
938 |
+
"acc_norm": 0.16,
|
939 |
+
"acc_norm_stderr": 0.03684529491774709
|
940 |
+
},
|
941 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
942 |
+
"acc": 0.2765957446808511,
|
943 |
+
"acc_stderr": 0.029241883869628834,
|
944 |
+
"acc_norm": 0.2765957446808511,
|
945 |
+
"acc_norm_stderr": 0.029241883869628834
|
946 |
+
},
|
947 |
+
"harness|hendrycksTest-econometrics|5": {
|
948 |
+
"acc": 0.2807017543859649,
|
949 |
+
"acc_stderr": 0.042270544512322,
|
950 |
+
"acc_norm": 0.2807017543859649,
|
951 |
+
"acc_norm_stderr": 0.042270544512322
|
952 |
+
},
|
953 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
954 |
+
"acc": 0.2413793103448276,
|
955 |
+
"acc_stderr": 0.03565998174135302,
|
956 |
+
"acc_norm": 0.2413793103448276,
|
957 |
+
"acc_norm_stderr": 0.03565998174135302
|
958 |
+
},
|
959 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
960 |
+
"acc": 0.25396825396825395,
|
961 |
+
"acc_stderr": 0.022418042891113942,
|
962 |
+
"acc_norm": 0.25396825396825395,
|
963 |
+
"acc_norm_stderr": 0.022418042891113942
|
964 |
+
},
|
965 |
+
"harness|hendrycksTest-formal_logic|5": {
|
966 |
+
"acc": 0.14285714285714285,
|
967 |
+
"acc_stderr": 0.0312984318574381,
|
968 |
+
"acc_norm": 0.14285714285714285,
|
969 |
+
"acc_norm_stderr": 0.0312984318574381
|
970 |
+
},
|
971 |
+
"harness|hendrycksTest-global_facts|5": {
|
972 |
+
"acc": 0.15,
|
973 |
+
"acc_stderr": 0.035887028128263686,
|
974 |
+
"acc_norm": 0.15,
|
975 |
+
"acc_norm_stderr": 0.035887028128263686
|
976 |
+
},
|
977 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
978 |
+
"acc": 0.3,
|
979 |
+
"acc_stderr": 0.026069362295335137,
|
980 |
+
"acc_norm": 0.3,
|
981 |
+
"acc_norm_stderr": 0.026069362295335137
|
982 |
+
},
|
983 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
984 |
+
"acc": 0.26108374384236455,
|
985 |
+
"acc_stderr": 0.030903796952114475,
|
986 |
+
"acc_norm": 0.26108374384236455,
|
987 |
+
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1080 |
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"harness|hendrycksTest-management|5": {
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},
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"harness|hendrycksTest-medical_genetics|5": {
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1111 |
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"harness|hendrycksTest-miscellaneous|5": {
|
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1120 |
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"harness|hendrycksTest-moral_scenarios|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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1144 |
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},
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1145 |
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"harness|hendrycksTest-prehistory|5": {
|
1146 |
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1150 |
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},
|
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"harness|hendrycksTest-professional_accounting|5": {
|
1152 |
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1156 |
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},
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1157 |
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"harness|hendrycksTest-professional_law|5": {
|
1158 |
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1162 |
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"harness|hendrycksTest-professional_medicine|5": {
|
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1168 |
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},
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1169 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1170 |
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1174 |
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"harness|hendrycksTest-public_relations|5": {
|
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|
1177 |
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|
1180 |
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},
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1181 |
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"harness|hendrycksTest-security_studies|5": {
|
1182 |
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|
1183 |
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1186 |
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},
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1187 |
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"harness|hendrycksTest-sociology|5": {
|
1188 |
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1191 |
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1192 |
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},
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1193 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1194 |
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|
1195 |
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|
1196 |
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|
1197 |
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|
1198 |
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},
|
1199 |
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"harness|hendrycksTest-virology|5": {
|
1200 |
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|
1201 |
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1202 |
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1204 |
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},
|
1205 |
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"harness|hendrycksTest-world_religions|5": {
|
1206 |
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|
1207 |
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1210 |
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},
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1211 |
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"harness|truthfulqa:mc|0": {
|
1212 |
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"mc1": 0.22766217870257038,
|
1213 |
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1214 |
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"mc2": 0.4073203809998297,
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1215 |
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1216 |
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},
|
1217 |
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"harness|winogrande|5": {
|
1218 |
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1219 |
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|
1220 |
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},
|
1221 |
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"harness|gsm8k|5": {
|
1222 |
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|
1223 |
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|
1224 |
+
}
|
1225 |
+
}
|
1226 |
+
```
|
1227 |
+
|
1228 |
+
### Supported Tasks and Leaderboards
|
1229 |
+
|
1230 |
+
[More Information Needed]
|
1231 |
+
|
1232 |
+
### Languages
|
1233 |
+
|
1234 |
+
[More Information Needed]
|
1235 |
+
|
1236 |
+
## Dataset Structure
|
1237 |
+
|
1238 |
+
### Data Instances
|
1239 |
+
|
1240 |
+
[More Information Needed]
|
1241 |
+
|
1242 |
+
### Data Fields
|
1243 |
+
|
1244 |
+
[More Information Needed]
|
1245 |
+
|
1246 |
+
### Data Splits
|
1247 |
+
|
1248 |
+
[More Information Needed]
|
1249 |
+
|
1250 |
+
## Dataset Creation
|
1251 |
+
|
1252 |
+
### Curation Rationale
|
1253 |
+
|
1254 |
+
[More Information Needed]
|
1255 |
+
|
1256 |
+
### Source Data
|
1257 |
+
|
1258 |
+
#### Initial Data Collection and Normalization
|
1259 |
+
|
1260 |
+
[More Information Needed]
|
1261 |
+
|
1262 |
+
#### Who are the source language producers?
|
1263 |
+
|
1264 |
+
[More Information Needed]
|
1265 |
+
|
1266 |
+
### Annotations
|
1267 |
+
|
1268 |
+
#### Annotation process
|
1269 |
+
|
1270 |
+
[More Information Needed]
|
1271 |
+
|
1272 |
+
#### Who are the annotators?
|
1273 |
+
|
1274 |
+
[More Information Needed]
|
1275 |
+
|
1276 |
+
### Personal and Sensitive Information
|
1277 |
+
|
1278 |
+
[More Information Needed]
|
1279 |
+
|
1280 |
+
## Considerations for Using the Data
|
1281 |
+
|
1282 |
+
### Social Impact of Dataset
|
1283 |
+
|
1284 |
+
[More Information Needed]
|
1285 |
+
|
1286 |
+
### Discussion of Biases
|
1287 |
+
|
1288 |
+
[More Information Needed]
|
1289 |
+
|
1290 |
+
### Other Known Limitations
|
1291 |
+
|
1292 |
+
[More Information Needed]
|
1293 |
+
|
1294 |
+
## Additional Information
|
1295 |
+
|
1296 |
+
### Dataset Curators
|
1297 |
+
|
1298 |
+
[More Information Needed]
|
1299 |
+
|
1300 |
+
### Licensing Information
|
1301 |
+
|
1302 |
+
[More Information Needed]
|
1303 |
+
|
1304 |
+
### Citation Information
|
1305 |
+
|
1306 |
+
[More Information Needed]
|
1307 |
+
|
1308 |
+
### Contributions
|
1309 |
+
|
1310 |
+
[More Information Needed]
|