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README.md
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|
| 1 |
+
---
|
| 2 |
+
pretty_name: Evaluation run of shuvom/yuj-v1
|
| 3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
+
\ [shuvom/yuj-v1](https://huggingface.co/shuvom/yuj-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 5 |
+
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
|
| 6 |
+
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
|
| 7 |
+
\ found as a specific split in each configuration, the split being named using the\
|
| 8 |
+
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 9 |
+
\nAn additional configuration \"results\" store all the aggregated results of the\
|
| 10 |
+
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
|
| 11 |
+
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 12 |
+
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 13 |
+
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_shuvom__yuj-v1\"\
|
| 14 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 15 |
+
These are the [latest results from run 2024-02-13T14:45:38.399135](https://huggingface.co/datasets/open-llm-leaderboard/details_shuvom__yuj-v1/blob/main/results_2024-02-13T14-45-38.399135.json)(note\
|
| 16 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 17 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 18 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.4368690144541721,\n\
|
| 19 |
+
\ \"acc_stderr\": 0.03434467285481173,\n \"acc_norm\": 0.44258872704716845,\n\
|
| 20 |
+
\ \"acc_norm_stderr\": 0.03518630942288087,\n \"mc1\": 0.2582619339045288,\n\
|
| 21 |
+
\ \"mc1_stderr\": 0.015321821688476194,\n \"mc2\": 0.4169072304332008,\n\
|
| 22 |
+
\ \"mc2_stderr\": 0.015264102154015026\n },\n \"harness|arc:challenge|25\"\
|
| 23 |
+
: {\n \"acc\": 0.41638225255972694,\n \"acc_stderr\": 0.014405618279436172,\n\
|
| 24 |
+
\ \"acc_norm\": 0.4564846416382253,\n \"acc_norm_stderr\": 0.014555949760496437\n\
|
| 25 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5310695080661223,\n\
|
| 26 |
+
\ \"acc_stderr\": 0.004980138679161042,\n \"acc_norm\": 0.700955984863573,\n\
|
| 27 |
+
\ \"acc_norm_stderr\": 0.004569034613332594\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
| 28 |
+
: {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909284,\n \
|
| 29 |
+
\ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909284\n \
|
| 30 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4148148148148148,\n\
|
| 31 |
+
\ \"acc_stderr\": 0.04256193767901407,\n \"acc_norm\": 0.4148148148148148,\n\
|
| 32 |
+
\ \"acc_norm_stderr\": 0.04256193767901407\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
| 33 |
+
: {\n \"acc\": 0.45394736842105265,\n \"acc_stderr\": 0.04051646342874143,\n\
|
| 34 |
+
\ \"acc_norm\": 0.45394736842105265,\n \"acc_norm_stderr\": 0.04051646342874143\n\
|
| 35 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.52,\n\
|
| 36 |
+
\ \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n \
|
| 37 |
+
\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
| 38 |
+
: {\n \"acc\": 0.47547169811320755,\n \"acc_stderr\": 0.030735822206205615,\n\
|
| 39 |
+
\ \"acc_norm\": 0.47547169811320755,\n \"acc_norm_stderr\": 0.030735822206205615\n\
|
| 40 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.4305555555555556,\n\
|
| 41 |
+
\ \"acc_stderr\": 0.04140685639111503,\n \"acc_norm\": 0.4305555555555556,\n\
|
| 42 |
+
\ \"acc_norm_stderr\": 0.04140685639111503\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
| 43 |
+
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
|
| 44 |
+
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
|
| 45 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
| 46 |
+
: 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\
|
| 47 |
+
\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
| 48 |
+
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
|
| 49 |
+
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
| 50 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.3468208092485549,\n\
|
| 51 |
+
\ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.3468208092485549,\n\
|
| 52 |
+
\ \"acc_norm_stderr\": 0.036291466701596636\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
| 53 |
+
: {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237657,\n\
|
| 54 |
+
\ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237657\n\
|
| 55 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
| 56 |
+
\ 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.46,\n\
|
| 57 |
+
\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
| 58 |
+
: {\n \"acc\": 0.39148936170212767,\n \"acc_stderr\": 0.031907012423268113,\n\
|
| 59 |
+
\ \"acc_norm\": 0.39148936170212767,\n \"acc_norm_stderr\": 0.031907012423268113\n\
|
| 60 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
|
| 61 |
+
\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
|
| 62 |
+
\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
| 63 |
+
: {\n \"acc\": 0.41379310344827586,\n \"acc_stderr\": 0.04104269211806232,\n\
|
| 64 |
+
\ \"acc_norm\": 0.41379310344827586,\n \"acc_norm_stderr\": 0.04104269211806232\n\
|
| 65 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
| 66 |
+
: 0.30423280423280424,\n \"acc_stderr\": 0.023695415009463087,\n \"\
|
| 67 |
+
acc_norm\": 0.30423280423280424,\n \"acc_norm_stderr\": 0.023695415009463087\n\
|
| 68 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2857142857142857,\n\
|
| 69 |
+
\ \"acc_stderr\": 0.0404061017820884,\n \"acc_norm\": 0.2857142857142857,\n\
|
| 70 |
+
\ \"acc_norm_stderr\": 0.0404061017820884\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
| 71 |
+
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
|
| 72 |
+
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
|
| 73 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.4870967741935484,\n\
|
| 74 |
+
\ \"acc_stderr\": 0.028434533152681855,\n \"acc_norm\": 0.4870967741935484,\n\
|
| 75 |
+
\ \"acc_norm_stderr\": 0.028434533152681855\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
| 76 |
+
: {\n \"acc\": 0.27586206896551724,\n \"acc_stderr\": 0.03144712581678242,\n\
|
| 77 |
+
\ \"acc_norm\": 0.27586206896551724,\n \"acc_norm_stderr\": 0.03144712581678242\n\
|
| 78 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
| 79 |
+
\ \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\"\
|
| 80 |
+
: 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
| 81 |
+
: {\n \"acc\": 0.5878787878787879,\n \"acc_stderr\": 0.03843566993588717,\n\
|
| 82 |
+
\ \"acc_norm\": 0.5878787878787879,\n \"acc_norm_stderr\": 0.03843566993588717\n\
|
| 83 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
| 84 |
+
: 0.5252525252525253,\n \"acc_stderr\": 0.03557806245087314,\n \"\
|
| 85 |
+
acc_norm\": 0.5252525252525253,\n \"acc_norm_stderr\": 0.03557806245087314\n\
|
| 86 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
| 87 |
+
\ \"acc\": 0.6321243523316062,\n \"acc_stderr\": 0.034801756684660366,\n\
|
| 88 |
+
\ \"acc_norm\": 0.6321243523316062,\n \"acc_norm_stderr\": 0.034801756684660366\n\
|
| 89 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
| 90 |
+
\ \"acc\": 0.4230769230769231,\n \"acc_stderr\": 0.02504919787604234,\n \
|
| 91 |
+
\ \"acc_norm\": 0.4230769230769231,\n \"acc_norm_stderr\": 0.02504919787604234\n\
|
| 92 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
| 93 |
+
acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \
|
| 94 |
+
\ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\
|
| 95 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
| 96 |
+
\ \"acc\": 0.40756302521008403,\n \"acc_stderr\": 0.03191863374478465,\n\
|
| 97 |
+
\ \"acc_norm\": 0.40756302521008403,\n \"acc_norm_stderr\": 0.03191863374478465\n\
|
| 98 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
| 99 |
+
: 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658754,\n \"\
|
| 100 |
+
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658754\n\
|
| 101 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
| 102 |
+
: 0.6201834862385321,\n \"acc_stderr\": 0.020808825617866244,\n \"\
|
| 103 |
+
acc_norm\": 0.6201834862385321,\n \"acc_norm_stderr\": 0.020808825617866244\n\
|
| 104 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
| 105 |
+
: 0.3287037037037037,\n \"acc_stderr\": 0.03203614084670058,\n \"\
|
| 106 |
+
acc_norm\": 0.3287037037037037,\n \"acc_norm_stderr\": 0.03203614084670058\n\
|
| 107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
| 108 |
+
: 0.5735294117647058,\n \"acc_stderr\": 0.03471157907953427,\n \"\
|
| 109 |
+
acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.03471157907953427\n\
|
| 110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
| 111 |
+
acc\": 0.6329113924050633,\n \"acc_stderr\": 0.031376240725616185,\n \
|
| 112 |
+
\ \"acc_norm\": 0.6329113924050633,\n \"acc_norm_stderr\": 0.031376240725616185\n\
|
| 113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5246636771300448,\n\
|
| 114 |
+
\ \"acc_stderr\": 0.03351695167652628,\n \"acc_norm\": 0.5246636771300448,\n\
|
| 115 |
+
\ \"acc_norm_stderr\": 0.03351695167652628\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
| 116 |
+
: {\n \"acc\": 0.48091603053435117,\n \"acc_stderr\": 0.04382094705550988,\n\
|
| 117 |
+
\ \"acc_norm\": 0.48091603053435117,\n \"acc_norm_stderr\": 0.04382094705550988\n\
|
| 118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
| 119 |
+
\ 0.4214876033057851,\n \"acc_stderr\": 0.04507732278775094,\n \"\
|
| 120 |
+
acc_norm\": 0.4214876033057851,\n \"acc_norm_stderr\": 0.04507732278775094\n\
|
| 121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.5,\n\
|
| 122 |
+
\ \"acc_stderr\": 0.04833682445228318,\n \"acc_norm\": 0.5,\n \
|
| 123 |
+
\ \"acc_norm_stderr\": 0.04833682445228318\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
| 124 |
+
: {\n \"acc\": 0.50920245398773,\n \"acc_stderr\": 0.03927705600787443,\n\
|
| 125 |
+
\ \"acc_norm\": 0.50920245398773,\n \"acc_norm_stderr\": 0.03927705600787443\n\
|
| 126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\
|
| 127 |
+
\ \"acc_stderr\": 0.0457237235873743,\n \"acc_norm\": 0.36607142857142855,\n\
|
| 128 |
+
\ \"acc_norm_stderr\": 0.0457237235873743\n },\n \"harness|hendrycksTest-management|5\"\
|
| 129 |
+
: {\n \"acc\": 0.6699029126213593,\n \"acc_stderr\": 0.0465614711001235,\n\
|
| 130 |
+
\ \"acc_norm\": 0.6699029126213593,\n \"acc_norm_stderr\": 0.0465614711001235\n\
|
| 131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7008547008547008,\n\
|
| 132 |
+
\ \"acc_stderr\": 0.02999695185834948,\n \"acc_norm\": 0.7008547008547008,\n\
|
| 133 |
+
\ \"acc_norm_stderr\": 0.02999695185834948\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
| 134 |
+
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \
|
| 135 |
+
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \
|
| 136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.5644955300127714,\n\
|
| 137 |
+
\ \"acc_stderr\": 0.01773058992792659,\n \"acc_norm\": 0.5644955300127714,\n\
|
| 138 |
+
\ \"acc_norm_stderr\": 0.01773058992792659\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
| 139 |
+
: {\n \"acc\": 0.4624277456647399,\n \"acc_stderr\": 0.026842985519615375,\n\
|
| 140 |
+
\ \"acc_norm\": 0.4624277456647399,\n \"acc_norm_stderr\": 0.026842985519615375\n\
|
| 141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2569832402234637,\n\
|
| 142 |
+
\ \"acc_stderr\": 0.014614465821966353,\n \"acc_norm\": 0.2569832402234637,\n\
|
| 143 |
+
\ \"acc_norm_stderr\": 0.014614465821966353\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
| 144 |
+
: {\n \"acc\": 0.40522875816993464,\n \"acc_stderr\": 0.028110928492809068,\n\
|
| 145 |
+
\ \"acc_norm\": 0.40522875816993464,\n \"acc_norm_stderr\": 0.028110928492809068\n\
|
| 146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.4919614147909968,\n\
|
| 147 |
+
\ \"acc_stderr\": 0.028394421370984548,\n \"acc_norm\": 0.4919614147909968,\n\
|
| 148 |
+
\ \"acc_norm_stderr\": 0.028394421370984548\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
| 149 |
+
: {\n \"acc\": 0.46296296296296297,\n \"acc_stderr\": 0.02774431344337654,\n\
|
| 150 |
+
\ \"acc_norm\": 0.46296296296296297,\n \"acc_norm_stderr\": 0.02774431344337654\n\
|
| 151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
| 152 |
+
acc\": 0.3120567375886525,\n \"acc_stderr\": 0.027640120545169934,\n \
|
| 153 |
+
\ \"acc_norm\": 0.3120567375886525,\n \"acc_norm_stderr\": 0.027640120545169934\n\
|
| 154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3604954367666232,\n\
|
| 155 |
+
\ \"acc_stderr\": 0.012263110237299233,\n \"acc_norm\": 0.3604954367666232,\n\
|
| 156 |
+
\ \"acc_norm_stderr\": 0.012263110237299233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
| 157 |
+
: {\n \"acc\": 0.3713235294117647,\n \"acc_stderr\": 0.02934980313976587,\n\
|
| 158 |
+
\ \"acc_norm\": 0.3713235294117647,\n \"acc_norm_stderr\": 0.02934980313976587\n\
|
| 159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
| 160 |
+
acc\": 0.42810457516339867,\n \"acc_stderr\": 0.0200176292142131,\n \
|
| 161 |
+
\ \"acc_norm\": 0.42810457516339867,\n \"acc_norm_stderr\": 0.0200176292142131\n\
|
| 162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5636363636363636,\n\
|
| 163 |
+
\ \"acc_stderr\": 0.04750185058907296,\n \"acc_norm\": 0.5636363636363636,\n\
|
| 164 |
+
\ \"acc_norm_stderr\": 0.04750185058907296\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
| 165 |
+
: {\n \"acc\": 0.42857142857142855,\n \"acc_stderr\": 0.031680911612338825,\n\
|
| 166 |
+
\ \"acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.031680911612338825\n\
|
| 167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.5572139303482587,\n\
|
| 168 |
+
\ \"acc_stderr\": 0.03512310964123936,\n \"acc_norm\": 0.5572139303482587,\n\
|
| 169 |
+
\ \"acc_norm_stderr\": 0.03512310964123936\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
| 170 |
+
: {\n \"acc\": 0.63,\n \"acc_stderr\": 0.048523658709391,\n \
|
| 171 |
+
\ \"acc_norm\": 0.63,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\
|
| 172 |
+
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3795180722891566,\n\
|
| 173 |
+
\ \"acc_stderr\": 0.03777798822748018,\n \"acc_norm\": 0.3795180722891566,\n\
|
| 174 |
+
\ \"acc_norm_stderr\": 0.03777798822748018\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
| 175 |
+
: {\n \"acc\": 0.5847953216374269,\n \"acc_stderr\": 0.03779275945503201,\n\
|
| 176 |
+
\ \"acc_norm\": 0.5847953216374269,\n \"acc_norm_stderr\": 0.03779275945503201\n\
|
| 177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2582619339045288,\n\
|
| 178 |
+
\ \"mc1_stderr\": 0.015321821688476194,\n \"mc2\": 0.4169072304332008,\n\
|
| 179 |
+
\ \"mc2_stderr\": 0.015264102154015026\n },\n \"harness|winogrande|5\"\
|
| 180 |
+
: {\n \"acc\": 0.6985003946329913,\n \"acc_stderr\": 0.012897628072546683\n\
|
| 181 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.047763457164518575,\n \
|
| 182 |
+
\ \"acc_stderr\": 0.005874387536229317\n }\n}\n```"
|
| 183 |
+
repo_url: https://huggingface.co/shuvom/yuj-v1
|
| 184 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 185 |
+
point_of_contact: [email protected]
|
| 186 |
+
configs:
|
| 187 |
+
- config_name: harness_arc_challenge_25
|
| 188 |
+
data_files:
|
| 189 |
+
- split: 2024_02_13T14_45_38.399135
|
| 190 |
+
path:
|
| 191 |
+
- '**/details_harness|arc:challenge|25_2024-02-13T14-45-38.399135.parquet'
|
| 192 |
+
- split: latest
|
| 193 |
+
path:
|
| 194 |
+
- '**/details_harness|arc:challenge|25_2024-02-13T14-45-38.399135.parquet'
|
| 195 |
+
- config_name: harness_gsm8k_5
|
| 196 |
+
data_files:
|
| 197 |
+
- split: 2024_02_13T14_45_38.399135
|
| 198 |
+
path:
|
| 199 |
+
- '**/details_harness|gsm8k|5_2024-02-13T14-45-38.399135.parquet'
|
| 200 |
+
- split: latest
|
| 201 |
+
path:
|
| 202 |
+
- '**/details_harness|gsm8k|5_2024-02-13T14-45-38.399135.parquet'
|
| 203 |
+
- config_name: harness_hellaswag_10
|
| 204 |
+
data_files:
|
| 205 |
+
- split: 2024_02_13T14_45_38.399135
|
| 206 |
+
path:
|
| 207 |
+
- '**/details_harness|hellaswag|10_2024-02-13T14-45-38.399135.parquet'
|
| 208 |
+
- split: latest
|
| 209 |
+
path:
|
| 210 |
+
- '**/details_harness|hellaswag|10_2024-02-13T14-45-38.399135.parquet'
|
| 211 |
+
- config_name: harness_hendrycksTest_5
|
| 212 |
+
data_files:
|
| 213 |
+
- split: 2024_02_13T14_45_38.399135
|
| 214 |
+
path:
|
| 215 |
+
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T14-45-38.399135.parquet'
|
| 216 |
+
- '**/details_harness|hendrycksTest-anatomy|5_2024-02-13T14-45-38.399135.parquet'
|
| 217 |
+
- '**/details_harness|hendrycksTest-astronomy|5_2024-02-13T14-45-38.399135.parquet'
|
| 218 |
+
- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-13T14-45-38.399135.parquet'
|
| 219 |
+
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T14-45-38.399135.parquet'
|
| 220 |
+
- '**/details_harness|hendrycksTest-college_biology|5_2024-02-13T14-45-38.399135.parquet'
|
| 221 |
+
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T14-45-38.399135.parquet'
|
| 222 |
+
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T14-45-38.399135.parquet'
|
| 223 |
+
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T14-45-38.399135.parquet'
|
| 224 |
+
- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-13T14-45-38.399135.parquet'
|
| 225 |
+
- '**/details_harness|hendrycksTest-college_physics|5_2024-02-13T14-45-38.399135.parquet'
|
| 226 |
+
- '**/details_harness|hendrycksTest-computer_security|5_2024-02-13T14-45-38.399135.parquet'
|
| 227 |
+
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T14-45-38.399135.parquet'
|
| 228 |
+
- '**/details_harness|hendrycksTest-econometrics|5_2024-02-13T14-45-38.399135.parquet'
|
| 229 |
+
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T14-45-38.399135.parquet'
|
| 230 |
+
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T14-45-38.399135.parquet'
|
| 231 |
+
- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-13T14-45-38.399135.parquet'
|
| 232 |
+
- '**/details_harness|hendrycksTest-global_facts|5_2024-02-13T14-45-38.399135.parquet'
|
| 233 |
+
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T14-45-38.399135.parquet'
|
| 234 |
+
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T14-45-38.399135.parquet'
|
| 235 |
+
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T14-45-38.399135.parquet'
|
| 236 |
+
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T14-45-38.399135.parquet'
|
| 237 |
+
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T14-45-38.399135.parquet'
|
| 238 |
+
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T14-45-38.399135.parquet'
|
| 239 |
+
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T14-45-38.399135.parquet'
|
| 240 |
+
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T14-45-38.399135.parquet'
|
| 241 |
+
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T14-45-38.399135.parquet'
|
| 242 |
+
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T14-45-38.399135.parquet'
|
| 243 |
+
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T14-45-38.399135.parquet'
|
| 244 |
+
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T14-45-38.399135.parquet'
|
| 245 |
+
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T14-45-38.399135.parquet'
|
| 246 |
+
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T14-45-38.399135.parquet'
|
| 247 |
+
- '**/details_harness|hendrycksTest-human_aging|5_2024-02-13T14-45-38.399135.parquet'
|
| 248 |
+
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T14-45-38.399135.parquet'
|
| 249 |
+
- '**/details_harness|hendrycksTest-international_law|5_2024-02-13T14-45-38.399135.parquet'
|
| 250 |
+
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T14-45-38.399135.parquet'
|
| 251 |
+
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T14-45-38.399135.parquet'
|
| 252 |
+
- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-13T14-45-38.399135.parquet'
|
| 253 |
+
- '**/details_harness|hendrycksTest-management|5_2024-02-13T14-45-38.399135.parquet'
|
| 254 |
+
- '**/details_harness|hendrycksTest-marketing|5_2024-02-13T14-45-38.399135.parquet'
|
| 255 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T14-45-38.399135.parquet'
|
| 256 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T14-45-38.399135.parquet'
|
| 257 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T14-45-38.399135.parquet'
|
| 258 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T14-45-38.399135.parquet'
|
| 259 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-02-13T14-45-38.399135.parquet'
|
| 260 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-02-13T14-45-38.399135.parquet'
|
| 261 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-02-13T14-45-38.399135.parquet'
|
| 262 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T14-45-38.399135.parquet'
|
| 263 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-02-13T14-45-38.399135.parquet'
|
| 264 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T14-45-38.399135.parquet'
|
| 265 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T14-45-38.399135.parquet'
|
| 266 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-13T14-45-38.399135.parquet'
|
| 267 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-13T14-45-38.399135.parquet'
|
| 268 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-02-13T14-45-38.399135.parquet'
|
| 269 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T14-45-38.399135.parquet'
|
| 270 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-02-13T14-45-38.399135.parquet'
|
| 271 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T14-45-38.399135.parquet'
|
| 272 |
+
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|
| 507 |
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|
| 508 |
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|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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|
| 515 |
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- config_name: harness_hendrycksTest_high_school_government_and_politics_5
|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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| 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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|
| 536 |
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|
| 537 |
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| 538 |
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|
| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 544 |
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|
| 545 |
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| 546 |
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|
| 547 |
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|
| 548 |
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|
| 549 |
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|
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| 552 |
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|
| 553 |
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| 554 |
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|
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|
| 556 |
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| 557 |
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|
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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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|
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|
| 568 |
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|
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|
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|
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|
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|
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|
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|
| 585 |
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|
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|
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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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|
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|
| 608 |
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| 610 |
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|
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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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|
| 622 |
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|
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|
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|
| 627 |
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|
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|
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|
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|
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| 636 |
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|
| 638 |
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|
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|
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|
| 644 |
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| 645 |
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|
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|
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|
| 651 |
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|
| 652 |
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|
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|
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|
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| 660 |
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|
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|
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|
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|
| 668 |
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|
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|
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|
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|
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|
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|
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|
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| 690 |
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|
| 691 |
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|
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|
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|
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|
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|
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| 698 |
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|
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|
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|
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|
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|
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|
| 708 |
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|
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|
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|
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|
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|
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|
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|
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| 722 |
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|
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|
| 724 |
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|
| 725 |
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|
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|
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|
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|
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|
| 733 |
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|
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|
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|
| 739 |
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|
| 740 |
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|
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|
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|
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|
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| 746 |
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|
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|
| 748 |
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|
| 749 |
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|
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|
| 752 |
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|
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|
| 755 |
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|
| 756 |
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| 757 |
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|
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|
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| 762 |
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|
| 763 |
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|
| 764 |
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|
| 765 |
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|
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| 771 |
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| 772 |
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|
| 773 |
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|
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|
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| 778 |
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| 779 |
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|
| 780 |
+
data_files:
|
| 781 |
+
- split: 2024_02_13T14_45_38.399135
|
| 782 |
+
path:
|
| 783 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T14-45-38.399135.parquet'
|
| 784 |
+
- split: latest
|
| 785 |
+
path:
|
| 786 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-13T14-45-38.399135.parquet'
|
| 787 |
+
- config_name: harness_truthfulqa_mc_0
|
| 788 |
+
data_files:
|
| 789 |
+
- split: 2024_02_13T14_45_38.399135
|
| 790 |
+
path:
|
| 791 |
+
- '**/details_harness|truthfulqa:mc|0_2024-02-13T14-45-38.399135.parquet'
|
| 792 |
+
- split: latest
|
| 793 |
+
path:
|
| 794 |
+
- '**/details_harness|truthfulqa:mc|0_2024-02-13T14-45-38.399135.parquet'
|
| 795 |
+
- config_name: harness_winogrande_5
|
| 796 |
+
data_files:
|
| 797 |
+
- split: 2024_02_13T14_45_38.399135
|
| 798 |
+
path:
|
| 799 |
+
- '**/details_harness|winogrande|5_2024-02-13T14-45-38.399135.parquet'
|
| 800 |
+
- split: latest
|
| 801 |
+
path:
|
| 802 |
+
- '**/details_harness|winogrande|5_2024-02-13T14-45-38.399135.parquet'
|
| 803 |
+
- config_name: results
|
| 804 |
+
data_files:
|
| 805 |
+
- split: 2024_02_13T14_45_38.399135
|
| 806 |
+
path:
|
| 807 |
+
- results_2024-02-13T14-45-38.399135.parquet
|
| 808 |
+
- split: latest
|
| 809 |
+
path:
|
| 810 |
+
- results_2024-02-13T14-45-38.399135.parquet
|
| 811 |
+
---
|
| 812 |
+
|
| 813 |
+
# Dataset Card for Evaluation run of shuvom/yuj-v1
|
| 814 |
+
|
| 815 |
+
<!-- Provide a quick summary of the dataset. -->
|
| 816 |
+
|
| 817 |
+
Dataset automatically created during the evaluation run of model [shuvom/yuj-v1](https://huggingface.co/shuvom/yuj-v1) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 818 |
+
|
| 819 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
| 820 |
+
|
| 821 |
+
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
|
| 822 |
+
|
| 823 |
+
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 824 |
+
|
| 825 |
+
To load the details from a run, you can for instance do the following:
|
| 826 |
+
```python
|
| 827 |
+
from datasets import load_dataset
|
| 828 |
+
data = load_dataset("open-llm-leaderboard/details_shuvom__yuj-v1",
|
| 829 |
+
"harness_winogrande_5",
|
| 830 |
+
split="train")
|
| 831 |
+
```
|
| 832 |
+
|
| 833 |
+
## Latest results
|
| 834 |
+
|
| 835 |
+
These are the [latest results from run 2024-02-13T14:45:38.399135](https://huggingface.co/datasets/open-llm-leaderboard/details_shuvom__yuj-v1/blob/main/results_2024-02-13T14-45-38.399135.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
|
| 836 |
+
|
| 837 |
+
```python
|
| 838 |
+
{
|
| 839 |
+
"all": {
|
| 840 |
+
"acc": 0.4368690144541721,
|
| 841 |
+
"acc_stderr": 0.03434467285481173,
|
| 842 |
+
"acc_norm": 0.44258872704716845,
|
| 843 |
+
"acc_norm_stderr": 0.03518630942288087,
|
| 844 |
+
"mc1": 0.2582619339045288,
|
| 845 |
+
"mc1_stderr": 0.015321821688476194,
|
| 846 |
+
"mc2": 0.4169072304332008,
|
| 847 |
+
"mc2_stderr": 0.015264102154015026
|
| 848 |
+
},
|
| 849 |
+
"harness|arc:challenge|25": {
|
| 850 |
+
"acc": 0.41638225255972694,
|
| 851 |
+
"acc_stderr": 0.014405618279436172,
|
| 852 |
+
"acc_norm": 0.4564846416382253,
|
| 853 |
+
"acc_norm_stderr": 0.014555949760496437
|
| 854 |
+
},
|
| 855 |
+
"harness|hellaswag|10": {
|
| 856 |
+
"acc": 0.5310695080661223,
|
| 857 |
+
"acc_stderr": 0.004980138679161042,
|
| 858 |
+
"acc_norm": 0.700955984863573,
|
| 859 |
+
"acc_norm_stderr": 0.004569034613332594
|
| 860 |
+
},
|
| 861 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
| 862 |
+
"acc": 0.24,
|
| 863 |
+
"acc_stderr": 0.04292346959909284,
|
| 864 |
+
"acc_norm": 0.24,
|
| 865 |
+
"acc_norm_stderr": 0.04292346959909284
|
| 866 |
+
},
|
| 867 |
+
"harness|hendrycksTest-anatomy|5": {
|
| 868 |
+
"acc": 0.4148148148148148,
|
| 869 |
+
"acc_stderr": 0.04256193767901407,
|
| 870 |
+
"acc_norm": 0.4148148148148148,
|
| 871 |
+
"acc_norm_stderr": 0.04256193767901407
|
| 872 |
+
},
|
| 873 |
+
"harness|hendrycksTest-astronomy|5": {
|
| 874 |
+
"acc": 0.45394736842105265,
|
| 875 |
+
"acc_stderr": 0.04051646342874143,
|
| 876 |
+
"acc_norm": 0.45394736842105265,
|
| 877 |
+
"acc_norm_stderr": 0.04051646342874143
|
| 878 |
+
},
|
| 879 |
+
"harness|hendrycksTest-business_ethics|5": {
|
| 880 |
+
"acc": 0.52,
|
| 881 |
+
"acc_stderr": 0.050211673156867795,
|
| 882 |
+
"acc_norm": 0.52,
|
| 883 |
+
"acc_norm_stderr": 0.050211673156867795
|
| 884 |
+
},
|
| 885 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 886 |
+
"acc": 0.47547169811320755,
|
| 887 |
+
"acc_stderr": 0.030735822206205615,
|
| 888 |
+
"acc_norm": 0.47547169811320755,
|
| 889 |
+
"acc_norm_stderr": 0.030735822206205615
|
| 890 |
+
},
|
| 891 |
+
"harness|hendrycksTest-college_biology|5": {
|
| 892 |
+
"acc": 0.4305555555555556,
|
| 893 |
+
"acc_stderr": 0.04140685639111503,
|
| 894 |
+
"acc_norm": 0.4305555555555556,
|
| 895 |
+
"acc_norm_stderr": 0.04140685639111503
|
| 896 |
+
},
|
| 897 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
| 898 |
+
"acc": 0.34,
|
| 899 |
+
"acc_stderr": 0.04760952285695235,
|
| 900 |
+
"acc_norm": 0.34,
|
| 901 |
+
"acc_norm_stderr": 0.04760952285695235
|
| 902 |
+
},
|
| 903 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
| 904 |
+
"acc": 0.3,
|
| 905 |
+
"acc_stderr": 0.046056618647183814,
|
| 906 |
+
"acc_norm": 0.3,
|
| 907 |
+
"acc_norm_stderr": 0.046056618647183814
|
| 908 |
+
},
|
| 909 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
| 910 |
+
"acc": 0.3,
|
| 911 |
+
"acc_stderr": 0.046056618647183814,
|
| 912 |
+
"acc_norm": 0.3,
|
| 913 |
+
"acc_norm_stderr": 0.046056618647183814
|
| 914 |
+
},
|
| 915 |
+
"harness|hendrycksTest-college_medicine|5": {
|
| 916 |
+
"acc": 0.3468208092485549,
|
| 917 |
+
"acc_stderr": 0.036291466701596636,
|
| 918 |
+
"acc_norm": 0.3468208092485549,
|
| 919 |
+
"acc_norm_stderr": 0.036291466701596636
|
| 920 |
+
},
|
| 921 |
+
"harness|hendrycksTest-college_physics|5": {
|
| 922 |
+
"acc": 0.21568627450980393,
|
| 923 |
+
"acc_stderr": 0.04092563958237657,
|
| 924 |
+
"acc_norm": 0.21568627450980393,
|
| 925 |
+
"acc_norm_stderr": 0.04092563958237657
|
| 926 |
+
},
|
| 927 |
+
"harness|hendrycksTest-computer_security|5": {
|
| 928 |
+
"acc": 0.46,
|
| 929 |
+
"acc_stderr": 0.05009082659620333,
|
| 930 |
+
"acc_norm": 0.46,
|
| 931 |
+
"acc_norm_stderr": 0.05009082659620333
|
| 932 |
+
},
|
| 933 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
| 934 |
+
"acc": 0.39148936170212767,
|
| 935 |
+
"acc_stderr": 0.031907012423268113,
|
| 936 |
+
"acc_norm": 0.39148936170212767,
|
| 937 |
+
"acc_norm_stderr": 0.031907012423268113
|
| 938 |
+
},
|
| 939 |
+
"harness|hendrycksTest-econometrics|5": {
|
| 940 |
+
"acc": 0.2982456140350877,
|
| 941 |
+
"acc_stderr": 0.04303684033537315,
|
| 942 |
+
"acc_norm": 0.2982456140350877,
|
| 943 |
+
"acc_norm_stderr": 0.04303684033537315
|
| 944 |
+
},
|
| 945 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
| 946 |
+
"acc": 0.41379310344827586,
|
| 947 |
+
"acc_stderr": 0.04104269211806232,
|
| 948 |
+
"acc_norm": 0.41379310344827586,
|
| 949 |
+
"acc_norm_stderr": 0.04104269211806232
|
| 950 |
+
},
|
| 951 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
| 952 |
+
"acc": 0.30423280423280424,
|
| 953 |
+
"acc_stderr": 0.023695415009463087,
|
| 954 |
+
"acc_norm": 0.30423280423280424,
|
| 955 |
+
"acc_norm_stderr": 0.023695415009463087
|
| 956 |
+
},
|
| 957 |
+
"harness|hendrycksTest-formal_logic|5": {
|
| 958 |
+
"acc": 0.2857142857142857,
|
| 959 |
+
"acc_stderr": 0.0404061017820884,
|
| 960 |
+
"acc_norm": 0.2857142857142857,
|
| 961 |
+
"acc_norm_stderr": 0.0404061017820884
|
| 962 |
+
},
|
| 963 |
+
"harness|hendrycksTest-global_facts|5": {
|
| 964 |
+
"acc": 0.38,
|
| 965 |
+
"acc_stderr": 0.04878317312145632,
|
| 966 |
+
"acc_norm": 0.38,
|
| 967 |
+
"acc_norm_stderr": 0.04878317312145632
|
| 968 |
+
},
|
| 969 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
| 970 |
+
"acc": 0.4870967741935484,
|
| 971 |
+
"acc_stderr": 0.028434533152681855,
|
| 972 |
+
"acc_norm": 0.4870967741935484,
|
| 973 |
+
"acc_norm_stderr": 0.028434533152681855
|
| 974 |
+
},
|
| 975 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
| 976 |
+
"acc": 0.27586206896551724,
|
| 977 |
+
"acc_stderr": 0.03144712581678242,
|
| 978 |
+
"acc_norm": 0.27586206896551724,
|
| 979 |
+
"acc_norm_stderr": 0.03144712581678242
|
| 980 |
+
},
|
| 981 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
| 982 |
+
"acc": 0.41,
|
| 983 |
+
"acc_stderr": 0.049431107042371025,
|
| 984 |
+
"acc_norm": 0.41,
|
| 985 |
+
"acc_norm_stderr": 0.049431107042371025
|
| 986 |
+
},
|
| 987 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
| 988 |
+
"acc": 0.5878787878787879,
|
| 989 |
+
"acc_stderr": 0.03843566993588717,
|
| 990 |
+
"acc_norm": 0.5878787878787879,
|
| 991 |
+
"acc_norm_stderr": 0.03843566993588717
|
| 992 |
+
},
|
| 993 |
+
"harness|hendrycksTest-high_school_geography|5": {
|
| 994 |
+
"acc": 0.5252525252525253,
|
| 995 |
+
"acc_stderr": 0.03557806245087314,
|
| 996 |
+
"acc_norm": 0.5252525252525253,
|
| 997 |
+
"acc_norm_stderr": 0.03557806245087314
|
| 998 |
+
},
|
| 999 |
+
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 1000 |
+
"acc": 0.6321243523316062,
|
| 1001 |
+
"acc_stderr": 0.034801756684660366,
|
| 1002 |
+
"acc_norm": 0.6321243523316062,
|
| 1003 |
+
"acc_norm_stderr": 0.034801756684660366
|
| 1004 |
+
},
|
| 1005 |
+
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 1006 |
+
"acc": 0.4230769230769231,
|
| 1007 |
+
"acc_stderr": 0.02504919787604234,
|
| 1008 |
+
"acc_norm": 0.4230769230769231,
|
| 1009 |
+
"acc_norm_stderr": 0.02504919787604234
|
| 1010 |
+
},
|
| 1011 |
+
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1012 |
+
"acc": 0.26296296296296295,
|
| 1013 |
+
"acc_stderr": 0.02684205787383371,
|
| 1014 |
+
"acc_norm": 0.26296296296296295,
|
| 1015 |
+
"acc_norm_stderr": 0.02684205787383371
|
| 1016 |
+
},
|
| 1017 |
+
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1018 |
+
"acc": 0.40756302521008403,
|
| 1019 |
+
"acc_stderr": 0.03191863374478465,
|
| 1020 |
+
"acc_norm": 0.40756302521008403,
|
| 1021 |
+
"acc_norm_stderr": 0.03191863374478465
|
| 1022 |
+
},
|
| 1023 |
+
"harness|hendrycksTest-high_school_physics|5": {
|
| 1024 |
+
"acc": 0.32450331125827814,
|
| 1025 |
+
"acc_stderr": 0.03822746937658754,
|
| 1026 |
+
"acc_norm": 0.32450331125827814,
|
| 1027 |
+
"acc_norm_stderr": 0.03822746937658754
|
| 1028 |
+
},
|
| 1029 |
+
"harness|hendrycksTest-high_school_psychology|5": {
|
| 1030 |
+
"acc": 0.6201834862385321,
|
| 1031 |
+
"acc_stderr": 0.020808825617866244,
|
| 1032 |
+
"acc_norm": 0.6201834862385321,
|
| 1033 |
+
"acc_norm_stderr": 0.020808825617866244
|
| 1034 |
+
},
|
| 1035 |
+
"harness|hendrycksTest-high_school_statistics|5": {
|
| 1036 |
+
"acc": 0.3287037037037037,
|
| 1037 |
+
"acc_stderr": 0.03203614084670058,
|
| 1038 |
+
"acc_norm": 0.3287037037037037,
|
| 1039 |
+
"acc_norm_stderr": 0.03203614084670058
|
| 1040 |
+
},
|
| 1041 |
+
"harness|hendrycksTest-high_school_us_history|5": {
|
| 1042 |
+
"acc": 0.5735294117647058,
|
| 1043 |
+
"acc_stderr": 0.03471157907953427,
|
| 1044 |
+
"acc_norm": 0.5735294117647058,
|
| 1045 |
+
"acc_norm_stderr": 0.03471157907953427
|
| 1046 |
+
},
|
| 1047 |
+
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1048 |
+
"acc": 0.6329113924050633,
|
| 1049 |
+
"acc_stderr": 0.031376240725616185,
|
| 1050 |
+
"acc_norm": 0.6329113924050633,
|
| 1051 |
+
"acc_norm_stderr": 0.031376240725616185
|
| 1052 |
+
},
|
| 1053 |
+
"harness|hendrycksTest-human_aging|5": {
|
| 1054 |
+
"acc": 0.5246636771300448,
|
| 1055 |
+
"acc_stderr": 0.03351695167652628,
|
| 1056 |
+
"acc_norm": 0.5246636771300448,
|
| 1057 |
+
"acc_norm_stderr": 0.03351695167652628
|
| 1058 |
+
},
|
| 1059 |
+
"harness|hendrycksTest-human_sexuality|5": {
|
| 1060 |
+
"acc": 0.48091603053435117,
|
| 1061 |
+
"acc_stderr": 0.04382094705550988,
|
| 1062 |
+
"acc_norm": 0.48091603053435117,
|
| 1063 |
+
"acc_norm_stderr": 0.04382094705550988
|
| 1064 |
+
},
|
| 1065 |
+
"harness|hendrycksTest-international_law|5": {
|
| 1066 |
+
"acc": 0.4214876033057851,
|
| 1067 |
+
"acc_stderr": 0.04507732278775094,
|
| 1068 |
+
"acc_norm": 0.4214876033057851,
|
| 1069 |
+
"acc_norm_stderr": 0.04507732278775094
|
| 1070 |
+
},
|
| 1071 |
+
"harness|hendrycksTest-jurisprudence|5": {
|
| 1072 |
+
"acc": 0.5,
|
| 1073 |
+
"acc_stderr": 0.04833682445228318,
|
| 1074 |
+
"acc_norm": 0.5,
|
| 1075 |
+
"acc_norm_stderr": 0.04833682445228318
|
| 1076 |
+
},
|
| 1077 |
+
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1078 |
+
"acc": 0.50920245398773,
|
| 1079 |
+
"acc_stderr": 0.03927705600787443,
|
| 1080 |
+
"acc_norm": 0.50920245398773,
|
| 1081 |
+
"acc_norm_stderr": 0.03927705600787443
|
| 1082 |
+
},
|
| 1083 |
+
"harness|hendrycksTest-machine_learning|5": {
|
| 1084 |
+
"acc": 0.36607142857142855,
|
| 1085 |
+
"acc_stderr": 0.0457237235873743,
|
| 1086 |
+
"acc_norm": 0.36607142857142855,
|
| 1087 |
+
"acc_norm_stderr": 0.0457237235873743
|
| 1088 |
+
},
|
| 1089 |
+
"harness|hendrycksTest-management|5": {
|
| 1090 |
+
"acc": 0.6699029126213593,
|
| 1091 |
+
"acc_stderr": 0.0465614711001235,
|
| 1092 |
+
"acc_norm": 0.6699029126213593,
|
| 1093 |
+
"acc_norm_stderr": 0.0465614711001235
|
| 1094 |
+
},
|
| 1095 |
+
"harness|hendrycksTest-marketing|5": {
|
| 1096 |
+
"acc": 0.7008547008547008,
|
| 1097 |
+
"acc_stderr": 0.02999695185834948,
|
| 1098 |
+
"acc_norm": 0.7008547008547008,
|
| 1099 |
+
"acc_norm_stderr": 0.02999695185834948
|
| 1100 |
+
},
|
| 1101 |
+
"harness|hendrycksTest-medical_genetics|5": {
|
| 1102 |
+
"acc": 0.46,
|
| 1103 |
+
"acc_stderr": 0.05009082659620333,
|
| 1104 |
+
"acc_norm": 0.46,
|
| 1105 |
+
"acc_norm_stderr": 0.05009082659620333
|
| 1106 |
+
},
|
| 1107 |
+
"harness|hendrycksTest-miscellaneous|5": {
|
| 1108 |
+
"acc": 0.5644955300127714,
|
| 1109 |
+
"acc_stderr": 0.01773058992792659,
|
| 1110 |
+
"acc_norm": 0.5644955300127714,
|
| 1111 |
+
"acc_norm_stderr": 0.01773058992792659
|
| 1112 |
+
},
|
| 1113 |
+
"harness|hendrycksTest-moral_disputes|5": {
|
| 1114 |
+
"acc": 0.4624277456647399,
|
| 1115 |
+
"acc_stderr": 0.026842985519615375,
|
| 1116 |
+
"acc_norm": 0.4624277456647399,
|
| 1117 |
+
"acc_norm_stderr": 0.026842985519615375
|
| 1118 |
+
},
|
| 1119 |
+
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1120 |
+
"acc": 0.2569832402234637,
|
| 1121 |
+
"acc_stderr": 0.014614465821966353,
|
| 1122 |
+
"acc_norm": 0.2569832402234637,
|
| 1123 |
+
"acc_norm_stderr": 0.014614465821966353
|
| 1124 |
+
},
|
| 1125 |
+
"harness|hendrycksTest-nutrition|5": {
|
| 1126 |
+
"acc": 0.40522875816993464,
|
| 1127 |
+
"acc_stderr": 0.028110928492809068,
|
| 1128 |
+
"acc_norm": 0.40522875816993464,
|
| 1129 |
+
"acc_norm_stderr": 0.028110928492809068
|
| 1130 |
+
},
|
| 1131 |
+
"harness|hendrycksTest-philosophy|5": {
|
| 1132 |
+
"acc": 0.4919614147909968,
|
| 1133 |
+
"acc_stderr": 0.028394421370984548,
|
| 1134 |
+
"acc_norm": 0.4919614147909968,
|
| 1135 |
+
"acc_norm_stderr": 0.028394421370984548
|
| 1136 |
+
},
|
| 1137 |
+
"harness|hendrycksTest-prehistory|5": {
|
| 1138 |
+
"acc": 0.46296296296296297,
|
| 1139 |
+
"acc_stderr": 0.02774431344337654,
|
| 1140 |
+
"acc_norm": 0.46296296296296297,
|
| 1141 |
+
"acc_norm_stderr": 0.02774431344337654
|
| 1142 |
+
},
|
| 1143 |
+
"harness|hendrycksTest-professional_accounting|5": {
|
| 1144 |
+
"acc": 0.3120567375886525,
|
| 1145 |
+
"acc_stderr": 0.027640120545169934,
|
| 1146 |
+
"acc_norm": 0.3120567375886525,
|
| 1147 |
+
"acc_norm_stderr": 0.027640120545169934
|
| 1148 |
+
},
|
| 1149 |
+
"harness|hendrycksTest-professional_law|5": {
|
| 1150 |
+
"acc": 0.3604954367666232,
|
| 1151 |
+
"acc_stderr": 0.012263110237299233,
|
| 1152 |
+
"acc_norm": 0.3604954367666232,
|
| 1153 |
+
"acc_norm_stderr": 0.012263110237299233
|
| 1154 |
+
},
|
| 1155 |
+
"harness|hendrycksTest-professional_medicine|5": {
|
| 1156 |
+
"acc": 0.3713235294117647,
|
| 1157 |
+
"acc_stderr": 0.02934980313976587,
|
| 1158 |
+
"acc_norm": 0.3713235294117647,
|
| 1159 |
+
"acc_norm_stderr": 0.02934980313976587
|
| 1160 |
+
},
|
| 1161 |
+
"harness|hendrycksTest-professional_psychology|5": {
|
| 1162 |
+
"acc": 0.42810457516339867,
|
| 1163 |
+
"acc_stderr": 0.0200176292142131,
|
| 1164 |
+
"acc_norm": 0.42810457516339867,
|
| 1165 |
+
"acc_norm_stderr": 0.0200176292142131
|
| 1166 |
+
},
|
| 1167 |
+
"harness|hendrycksTest-public_relations|5": {
|
| 1168 |
+
"acc": 0.5636363636363636,
|
| 1169 |
+
"acc_stderr": 0.04750185058907296,
|
| 1170 |
+
"acc_norm": 0.5636363636363636,
|
| 1171 |
+
"acc_norm_stderr": 0.04750185058907296
|
| 1172 |
+
},
|
| 1173 |
+
"harness|hendrycksTest-security_studies|5": {
|
| 1174 |
+
"acc": 0.42857142857142855,
|
| 1175 |
+
"acc_stderr": 0.031680911612338825,
|
| 1176 |
+
"acc_norm": 0.42857142857142855,
|
| 1177 |
+
"acc_norm_stderr": 0.031680911612338825
|
| 1178 |
+
},
|
| 1179 |
+
"harness|hendrycksTest-sociology|5": {
|
| 1180 |
+
"acc": 0.5572139303482587,
|
| 1181 |
+
"acc_stderr": 0.03512310964123936,
|
| 1182 |
+
"acc_norm": 0.5572139303482587,
|
| 1183 |
+
"acc_norm_stderr": 0.03512310964123936
|
| 1184 |
+
},
|
| 1185 |
+
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1186 |
+
"acc": 0.63,
|
| 1187 |
+
"acc_stderr": 0.048523658709391,
|
| 1188 |
+
"acc_norm": 0.63,
|
| 1189 |
+
"acc_norm_stderr": 0.048523658709391
|
| 1190 |
+
},
|
| 1191 |
+
"harness|hendrycksTest-virology|5": {
|
| 1192 |
+
"acc": 0.3795180722891566,
|
| 1193 |
+
"acc_stderr": 0.03777798822748018,
|
| 1194 |
+
"acc_norm": 0.3795180722891566,
|
| 1195 |
+
"acc_norm_stderr": 0.03777798822748018
|
| 1196 |
+
},
|
| 1197 |
+
"harness|hendrycksTest-world_religions|5": {
|
| 1198 |
+
"acc": 0.5847953216374269,
|
| 1199 |
+
"acc_stderr": 0.03779275945503201,
|
| 1200 |
+
"acc_norm": 0.5847953216374269,
|
| 1201 |
+
"acc_norm_stderr": 0.03779275945503201
|
| 1202 |
+
},
|
| 1203 |
+
"harness|truthfulqa:mc|0": {
|
| 1204 |
+
"mc1": 0.2582619339045288,
|
| 1205 |
+
"mc1_stderr": 0.015321821688476194,
|
| 1206 |
+
"mc2": 0.4169072304332008,
|
| 1207 |
+
"mc2_stderr": 0.015264102154015026
|
| 1208 |
+
},
|
| 1209 |
+
"harness|winogrande|5": {
|
| 1210 |
+
"acc": 0.6985003946329913,
|
| 1211 |
+
"acc_stderr": 0.012897628072546683
|
| 1212 |
+
},
|
| 1213 |
+
"harness|gsm8k|5": {
|
| 1214 |
+
"acc": 0.047763457164518575,
|
| 1215 |
+
"acc_stderr": 0.005874387536229317
|
| 1216 |
+
}
|
| 1217 |
+
}
|
| 1218 |
+
```
|
| 1219 |
+
|
| 1220 |
+
## Dataset Details
|
| 1221 |
+
|
| 1222 |
+
### Dataset Description
|
| 1223 |
+
|
| 1224 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
| 1225 |
+
|
| 1226 |
+
|
| 1227 |
+
|
| 1228 |
+
- **Curated by:** [More Information Needed]
|
| 1229 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 1230 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 1231 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 1232 |
+
- **License:** [More Information Needed]
|
| 1233 |
+
|
| 1234 |
+
### Dataset Sources [optional]
|
| 1235 |
+
|
| 1236 |
+
<!-- Provide the basic links for the dataset. -->
|
| 1237 |
+
|
| 1238 |
+
- **Repository:** [More Information Needed]
|
| 1239 |
+
- **Paper [optional]:** [More Information Needed]
|
| 1240 |
+
- **Demo [optional]:** [More Information Needed]
|
| 1241 |
+
|
| 1242 |
+
## Uses
|
| 1243 |
+
|
| 1244 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
| 1245 |
+
|
| 1246 |
+
### Direct Use
|
| 1247 |
+
|
| 1248 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
| 1249 |
+
|
| 1250 |
+
[More Information Needed]
|
| 1251 |
+
|
| 1252 |
+
### Out-of-Scope Use
|
| 1253 |
+
|
| 1254 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
| 1255 |
+
|
| 1256 |
+
[More Information Needed]
|
| 1257 |
+
|
| 1258 |
+
## Dataset Structure
|
| 1259 |
+
|
| 1260 |
+
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
|
| 1261 |
+
|
| 1262 |
+
[More Information Needed]
|
| 1263 |
+
|
| 1264 |
+
## Dataset Creation
|
| 1265 |
+
|
| 1266 |
+
### Curation Rationale
|
| 1267 |
+
|
| 1268 |
+
<!-- Motivation for the creation of this dataset. -->
|
| 1269 |
+
|
| 1270 |
+
[More Information Needed]
|
| 1271 |
+
|
| 1272 |
+
### Source Data
|
| 1273 |
+
|
| 1274 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
| 1275 |
+
|
| 1276 |
+
#### Data Collection and Processing
|
| 1277 |
+
|
| 1278 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
| 1279 |
+
|
| 1280 |
+
[More Information Needed]
|
| 1281 |
+
|
| 1282 |
+
#### Who are the source data producers?
|
| 1283 |
+
|
| 1284 |
+
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
|
| 1285 |
+
|
| 1286 |
+
[More Information Needed]
|
| 1287 |
+
|
| 1288 |
+
### Annotations [optional]
|
| 1289 |
+
|
| 1290 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
| 1291 |
+
|
| 1292 |
+
#### Annotation process
|
| 1293 |
+
|
| 1294 |
+
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
|
| 1295 |
+
|
| 1296 |
+
[More Information Needed]
|
| 1297 |
+
|
| 1298 |
+
#### Who are the annotators?
|
| 1299 |
+
|
| 1300 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
| 1301 |
+
|
| 1302 |
+
[More Information Needed]
|
| 1303 |
+
|
| 1304 |
+
#### Personal and Sensitive Information
|
| 1305 |
+
|
| 1306 |
+
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
|
| 1307 |
+
|
| 1308 |
+
[More Information Needed]
|
| 1309 |
+
|
| 1310 |
+
## Bias, Risks, and Limitations
|
| 1311 |
+
|
| 1312 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 1313 |
+
|
| 1314 |
+
[More Information Needed]
|
| 1315 |
+
|
| 1316 |
+
### Recommendations
|
| 1317 |
+
|
| 1318 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 1319 |
+
|
| 1320 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
| 1321 |
+
|
| 1322 |
+
## Citation [optional]
|
| 1323 |
+
|
| 1324 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
| 1325 |
+
|
| 1326 |
+
**BibTeX:**
|
| 1327 |
+
|
| 1328 |
+
[More Information Needed]
|
| 1329 |
+
|
| 1330 |
+
**APA:**
|
| 1331 |
+
|
| 1332 |
+
[More Information Needed]
|
| 1333 |
+
|
| 1334 |
+
## Glossary [optional]
|
| 1335 |
+
|
| 1336 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
| 1337 |
+
|
| 1338 |
+
[More Information Needed]
|
| 1339 |
+
|
| 1340 |
+
## More Information [optional]
|
| 1341 |
+
|
| 1342 |
+
[More Information Needed]
|
| 1343 |
+
|
| 1344 |
+
## Dataset Card Authors [optional]
|
| 1345 |
+
|
| 1346 |
+
[More Information Needed]
|
| 1347 |
+
|
| 1348 |
+
## Dataset Card Contact
|
| 1349 |
+
|
| 1350 |
+
[More Information Needed]
|