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--- |
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pretty_name: Evaluation run of yanolja/EEVE-Korean-Instruct-2.8B-v1.0 |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [yanolja/EEVE-Korean-Instruct-2.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0)\ |
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ |
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\nThe dataset is composed of 63 configuration, each one coresponding to one of the\ |
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\ |
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\ found as a specific split in each configuration, the split being named using the\ |
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ |
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\nAn additional configuration \"results\" store all the aggregated results of the\ |
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\ |
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\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ |
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\nTo load the details from a run, you can for instance do the following:\n```python\n\ |
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_yanolja__EEVE-Korean-Instruct-2.8B-v1.0\"\ |
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ |
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These are the [latest results from run 2024-02-24T12:23:11.293392](https://huggingface.co/datasets/open-llm-leaderboard/details_yanolja__EEVE-Korean-Instruct-2.8B-v1.0/blob/main/results_2024-02-24T12-23-11.293392.json)(note\ |
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\ that their might be results for other tasks in the repos if successive evals didn't\ |
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\ cover the same tasks. You find each in the results and the \"latest\" split for\ |
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\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.5359575580583875,\n\ |
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|
\ \"acc_stderr\": 0.03412496053756963,\n \"acc_norm\": 0.5375250512818304,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03483154089527838,\n \"mc1\": 0.3268053855569155,\n\ |
|
|
\ \"mc1_stderr\": 0.016419874731135032,\n \"mc2\": 0.483169553787504,\n\ |
|
|
\ \"mc2_stderr\": 0.01519249109360666\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.5435153583617748,\n \"acc_stderr\": 0.014555949760496439,\n\ |
|
|
\ \"acc_norm\": 0.5827645051194539,\n \"acc_norm_stderr\": 0.014409825518403084\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5435172276438957,\n\ |
|
|
\ \"acc_stderr\": 0.004970846697552311,\n \"acc_norm\": 0.7241585341565425,\n\ |
|
|
\ \"acc_norm_stderr\": 0.004460238879247421\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ |
|
|
\ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4148148148148148,\n\ |
|
|
\ \"acc_stderr\": 0.042561937679014075,\n \"acc_norm\": 0.4148148148148148,\n\ |
|
|
\ \"acc_norm_stderr\": 0.042561937679014075\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.5197368421052632,\n \"acc_stderr\": 0.040657710025626036,\n\ |
|
|
\ \"acc_norm\": 0.5197368421052632,\n \"acc_norm_stderr\": 0.040657710025626036\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ |
|
|
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ |
|
|
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.5358490566037736,\n \"acc_stderr\": 0.030693675018458003,\n\ |
|
|
\ \"acc_norm\": 0.5358490566037736,\n \"acc_norm_stderr\": 0.030693675018458003\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5972222222222222,\n\ |
|
|
\ \"acc_stderr\": 0.04101405519842425,\n \"acc_norm\": 0.5972222222222222,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04101405519842425\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ |
|
|
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.44,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ |
|
|
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5375722543352601,\n\ |
|
|
\ \"acc_stderr\": 0.0380168510452446,\n \"acc_norm\": 0.5375722543352601,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0380168510452446\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.047551296160629475,\n\ |
|
|
\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.047551296160629475\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.451063829787234,\n \"acc_stderr\": 0.03252909619613197,\n\ |
|
|
\ \"acc_norm\": 0.451063829787234,\n \"acc_norm_stderr\": 0.03252909619613197\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3684210526315789,\n\ |
|
|
\ \"acc_stderr\": 0.04537815354939392,\n \"acc_norm\": 0.3684210526315789,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04537815354939392\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\ |
|
|
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.4074074074074074,\n \"acc_stderr\": 0.02530590624159063,\n \"\ |
|
|
acc_norm\": 0.4074074074074074,\n \"acc_norm_stderr\": 0.02530590624159063\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3492063492063492,\n\ |
|
|
\ \"acc_stderr\": 0.04263906892795132,\n \"acc_norm\": 0.3492063492063492,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04263906892795132\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ |
|
|
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6806451612903226,\n\ |
|
|
\ \"acc_stderr\": 0.02652270967466777,\n \"acc_norm\": 0.6806451612903226,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02652270967466777\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.43349753694581283,\n \"acc_stderr\": 0.03486731727419872,\n\ |
|
|
\ \"acc_norm\": 0.43349753694581283,\n \"acc_norm_stderr\": 0.03486731727419872\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.59,\n \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\"\ |
|
|
: 0.59,\n \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.3090909090909091,\n \"acc_stderr\": 0.036085410115739666,\n\ |
|
|
\ \"acc_norm\": 0.3090909090909091,\n \"acc_norm_stderr\": 0.036085410115739666\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.6868686868686869,\n \"acc_stderr\": 0.033042050878136525,\n \"\ |
|
|
acc_norm\": 0.6868686868686869,\n \"acc_norm_stderr\": 0.033042050878136525\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.7202072538860104,\n \"acc_stderr\": 0.03239637046735704,\n\ |
|
|
\ \"acc_norm\": 0.7202072538860104,\n \"acc_norm_stderr\": 0.03239637046735704\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.541025641025641,\n \"acc_stderr\": 0.025265525491284295,\n \ |
|
|
\ \"acc_norm\": 0.541025641025641,\n \"acc_norm_stderr\": 0.025265525491284295\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.29259259259259257,\n \"acc_stderr\": 0.02773896963217609,\n \ |
|
|
\ \"acc_norm\": 0.29259259259259257,\n \"acc_norm_stderr\": 0.02773896963217609\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.5714285714285714,\n \"acc_stderr\": 0.032145368597886394,\n\ |
|
|
\ \"acc_norm\": 0.5714285714285714,\n \"acc_norm_stderr\": 0.032145368597886394\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.36423841059602646,\n \"acc_stderr\": 0.03929111781242742,\n \"\ |
|
|
acc_norm\": 0.36423841059602646,\n \"acc_norm_stderr\": 0.03929111781242742\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.7431192660550459,\n \"acc_stderr\": 0.018732492928342472,\n \"\ |
|
|
acc_norm\": 0.7431192660550459,\n \"acc_norm_stderr\": 0.018732492928342472\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.4027777777777778,\n \"acc_stderr\": 0.033448873829978666,\n \"\ |
|
|
acc_norm\": 0.4027777777777778,\n \"acc_norm_stderr\": 0.033448873829978666\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.35294117647058826,\n \"acc_stderr\": 0.033540924375915195,\n \"\ |
|
|
acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.033540924375915195\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7130801687763713,\n \"acc_stderr\": 0.029443773022594693,\n \ |
|
|
\ \"acc_norm\": 0.7130801687763713,\n \"acc_norm_stderr\": 0.029443773022594693\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6322869955156951,\n\ |
|
|
\ \"acc_stderr\": 0.03236198350928275,\n \"acc_norm\": 0.6322869955156951,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03236198350928275\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.04225875451969638,\n\ |
|
|
\ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.04225875451969638\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.7107438016528925,\n \"acc_stderr\": 0.04139112727635463,\n \"\ |
|
|
acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.04139112727635463\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6388888888888888,\n\ |
|
|
\ \"acc_stderr\": 0.04643454608906275,\n \"acc_norm\": 0.6388888888888888,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04643454608906275\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.6809815950920245,\n \"acc_stderr\": 0.03661997551073836,\n\ |
|
|
\ \"acc_norm\": 0.6809815950920245,\n \"acc_norm_stderr\": 0.03661997551073836\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5357142857142857,\n\ |
|
|
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.5357142857142857,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\ |
|
|
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8333333333333334,\n\ |
|
|
\ \"acc_stderr\": 0.024414947304543678,\n \"acc_norm\": 0.8333333333333334,\n\ |
|
|
\ \"acc_norm_stderr\": 0.024414947304543678\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.62,\n \"acc_stderr\": 0.048783173121456316,\n \ |
|
|
\ \"acc_norm\": 0.62,\n \"acc_norm_stderr\": 0.048783173121456316\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.6717752234993615,\n\ |
|
|
\ \"acc_stderr\": 0.016791685640192892,\n \"acc_norm\": 0.6717752234993615,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016791685640192892\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.6011560693641619,\n \"acc_stderr\": 0.02636243757454654,\n\ |
|
|
\ \"acc_norm\": 0.6011560693641619,\n \"acc_norm_stderr\": 0.02636243757454654\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2536312849162011,\n\ |
|
|
\ \"acc_stderr\": 0.014551553659369918,\n \"acc_norm\": 0.2536312849162011,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014551553659369918\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.5686274509803921,\n \"acc_stderr\": 0.02835895631342355,\n\ |
|
|
\ \"acc_norm\": 0.5686274509803921,\n \"acc_norm_stderr\": 0.02835895631342355\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6045016077170418,\n\ |
|
|
\ \"acc_stderr\": 0.027770918531427838,\n \"acc_norm\": 0.6045016077170418,\n\ |
|
|
\ \"acc_norm_stderr\": 0.027770918531427838\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.5925925925925926,\n \"acc_stderr\": 0.027339546640662737,\n\ |
|
|
\ \"acc_norm\": 0.5925925925925926,\n \"acc_norm_stderr\": 0.027339546640662737\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.3829787234042553,\n \"acc_stderr\": 0.02899908090480618,\n \ |
|
|
\ \"acc_norm\": 0.3829787234042553,\n \"acc_norm_stderr\": 0.02899908090480618\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.41003911342894395,\n\ |
|
|
\ \"acc_stderr\": 0.012561837621962047,\n \"acc_norm\": 0.41003911342894395,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012561837621962047\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.3860294117647059,\n \"acc_stderr\": 0.029573269134411124,\n\ |
|
|
\ \"acc_norm\": 0.3860294117647059,\n \"acc_norm_stderr\": 0.029573269134411124\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.5392156862745098,\n \"acc_stderr\": 0.02016552331390791,\n \ |
|
|
\ \"acc_norm\": 0.5392156862745098,\n \"acc_norm_stderr\": 0.02016552331390791\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ |
|
|
\ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.6693877551020408,\n \"acc_stderr\": 0.030116426296540603,\n\ |
|
|
\ \"acc_norm\": 0.6693877551020408,\n \"acc_norm_stderr\": 0.030116426296540603\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7661691542288557,\n\ |
|
|
\ \"acc_stderr\": 0.029929415408348384,\n \"acc_norm\": 0.7661691542288557,\n\ |
|
|
\ \"acc_norm_stderr\": 0.029929415408348384\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ |
|
|
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5060240963855421,\n\ |
|
|
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.5060240963855421,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.6549707602339181,\n \"acc_stderr\": 0.03645981377388806,\n\ |
|
|
\ \"acc_norm\": 0.6549707602339181,\n \"acc_norm_stderr\": 0.03645981377388806\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3268053855569155,\n\ |
|
|
\ \"mc1_stderr\": 0.016419874731135032,\n \"mc2\": 0.483169553787504,\n\ |
|
|
\ \"mc2_stderr\": 0.01519249109360666\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.7482241515390686,\n \"acc_stderr\": 0.012198489100259781\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.45109931766489764,\n \ |
|
|
\ \"acc_stderr\": 0.01370645880966482\n }\n}\n```" |
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repo_url: https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0 |
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
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point_of_contact: [email protected] |
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configs: |
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- config_name: harness_arc_challenge_25 |
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data_files: |
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- split: 2024_02_24T12_23_11.293392 |
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path: |
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- '**/details_harness|arc:challenge|25_2024-02-24T12-23-11.293392.parquet' |
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- split: latest |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-02-24T12-23-11.293392.parquet' |
|
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- config_name: harness_gsm8k_5 |
|
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data_files: |
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- split: 2024_02_24T12_23_11.293392 |
|
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path: |
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- '**/details_harness|gsm8k|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|gsm8k|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hellaswag|10_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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- split: 2024_02_24T12_23_11.293392 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2024_02_24T12_23_11.293392 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_02_24T12_23_11.293392 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-24T12-23-11.293392.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-24T12-23-11.293392.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_24T12_23_11.293392 |
|
|
path: |
|
|
- results_2024-02-24T12-23-11.293392.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-24T12-23-11.293392.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of yanolja/EEVE-Korean-Instruct-2.8B-v1.0 |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [yanolja/EEVE-Korean-Instruct-2.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-2.8B-v1.0) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
|
|
|
|
|
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. |
|
|
|
|
|
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. |
|
|
|
|
|
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)). |
|
|
|
|
|
To load the details from a run, you can for instance do the following: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
data = load_dataset("open-llm-leaderboard/details_yanolja__EEVE-Korean-Instruct-2.8B-v1.0", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-24T12:23:11.293392](https://huggingface.co/datasets/open-llm-leaderboard/details_yanolja__EEVE-Korean-Instruct-2.8B-v1.0/blob/main/results_2024-02-24T12-23-11.293392.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): |
|
|
|
|
|
```python |
|
|
{ |
|
|
"all": { |
|
|
"acc": 0.5359575580583875, |
|
|
"acc_stderr": 0.03412496053756963, |
|
|
"acc_norm": 0.5375250512818304, |
|
|
"acc_norm_stderr": 0.03483154089527838, |
|
|
"mc1": 0.3268053855569155, |
|
|
"mc1_stderr": 0.016419874731135032, |
|
|
"mc2": 0.483169553787504, |
|
|
"mc2_stderr": 0.01519249109360666 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.5435153583617748, |
|
|
"acc_stderr": 0.014555949760496439, |
|
|
"acc_norm": 0.5827645051194539, |
|
|
"acc_norm_stderr": 0.014409825518403084 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.5435172276438957, |
|
|
"acc_stderr": 0.004970846697552311, |
|
|
"acc_norm": 0.7241585341565425, |
|
|
"acc_norm_stderr": 0.004460238879247421 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.25, |
|
|
"acc_stderr": 0.04351941398892446, |
|
|
"acc_norm": 0.25, |
|
|
"acc_norm_stderr": 0.04351941398892446 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.4148148148148148, |
|
|
"acc_stderr": 0.042561937679014075, |
|
|
"acc_norm": 0.4148148148148148, |
|
|
"acc_norm_stderr": 0.042561937679014075 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.5197368421052632, |
|
|
"acc_stderr": 0.040657710025626036, |
|
|
"acc_norm": 0.5197368421052632, |
|
|
"acc_norm_stderr": 0.040657710025626036 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.57, |
|
|
"acc_stderr": 0.049756985195624284, |
|
|
"acc_norm": 0.57, |
|
|
"acc_norm_stderr": 0.049756985195624284 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.5358490566037736, |
|
|
"acc_stderr": 0.030693675018458003, |
|
|
"acc_norm": 0.5358490566037736, |
|
|
"acc_norm_stderr": 0.030693675018458003 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.5972222222222222, |
|
|
"acc_stderr": 0.04101405519842425, |
|
|
"acc_norm": 0.5972222222222222, |
|
|
"acc_norm_stderr": 0.04101405519842425 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.34, |
|
|
"acc_stderr": 0.04760952285695235, |
|
|
"acc_norm": 0.34, |
|
|
"acc_norm_stderr": 0.04760952285695235 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.44, |
|
|
"acc_stderr": 0.04988876515698589, |
|
|
"acc_norm": 0.44, |
|
|
"acc_norm_stderr": 0.04988876515698589 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.5375722543352601, |
|
|
"acc_stderr": 0.0380168510452446, |
|
|
"acc_norm": 0.5375722543352601, |
|
|
"acc_norm_stderr": 0.0380168510452446 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.35294117647058826, |
|
|
"acc_stderr": 0.047551296160629475, |
|
|
"acc_norm": 0.35294117647058826, |
|
|
"acc_norm_stderr": 0.047551296160629475 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.69, |
|
|
"acc_stderr": 0.04648231987117316, |
|
|
"acc_norm": 0.69, |
|
|
"acc_norm_stderr": 0.04648231987117316 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.451063829787234, |
|
|
"acc_stderr": 0.03252909619613197, |
|
|
"acc_norm": 0.451063829787234, |
|
|
"acc_norm_stderr": 0.03252909619613197 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.3684210526315789, |
|
|
"acc_stderr": 0.04537815354939392, |
|
|
"acc_norm": 0.3684210526315789, |
|
|
"acc_norm_stderr": 0.04537815354939392 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5172413793103449, |
|
|
"acc_stderr": 0.04164188720169375, |
|
|
"acc_norm": 0.5172413793103449, |
|
|
"acc_norm_stderr": 0.04164188720169375 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.4074074074074074, |
|
|
"acc_stderr": 0.02530590624159063, |
|
|
"acc_norm": 0.4074074074074074, |
|
|
"acc_norm_stderr": 0.02530590624159063 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.3492063492063492, |
|
|
"acc_stderr": 0.04263906892795132, |
|
|
"acc_norm": 0.3492063492063492, |
|
|
"acc_norm_stderr": 0.04263906892795132 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.34, |
|
|
"acc_stderr": 0.04760952285695235, |
|
|
"acc_norm": 0.34, |
|
|
"acc_norm_stderr": 0.04760952285695235 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.6806451612903226, |
|
|
"acc_stderr": 0.02652270967466777, |
|
|
"acc_norm": 0.6806451612903226, |
|
|
"acc_norm_stderr": 0.02652270967466777 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.43349753694581283, |
|
|
"acc_stderr": 0.03486731727419872, |
|
|
"acc_norm": 0.43349753694581283, |
|
|
"acc_norm_stderr": 0.03486731727419872 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.59, |
|
|
"acc_stderr": 0.04943110704237102, |
|
|
"acc_norm": 0.59, |
|
|
"acc_norm_stderr": 0.04943110704237102 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.3090909090909091, |
|
|
"acc_stderr": 0.036085410115739666, |
|
|
"acc_norm": 0.3090909090909091, |
|
|
"acc_norm_stderr": 0.036085410115739666 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.6868686868686869, |
|
|
"acc_stderr": 0.033042050878136525, |
|
|
"acc_norm": 0.6868686868686869, |
|
|
"acc_norm_stderr": 0.033042050878136525 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.7202072538860104, |
|
|
"acc_stderr": 0.03239637046735704, |
|
|
"acc_norm": 0.7202072538860104, |
|
|
"acc_norm_stderr": 0.03239637046735704 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.541025641025641, |
|
|
"acc_stderr": 0.025265525491284295, |
|
|
"acc_norm": 0.541025641025641, |
|
|
"acc_norm_stderr": 0.025265525491284295 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.29259259259259257, |
|
|
"acc_stderr": 0.02773896963217609, |
|
|
"acc_norm": 0.29259259259259257, |
|
|
"acc_norm_stderr": 0.02773896963217609 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.5714285714285714, |
|
|
"acc_stderr": 0.032145368597886394, |
|
|
"acc_norm": 0.5714285714285714, |
|
|
"acc_norm_stderr": 0.032145368597886394 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.36423841059602646, |
|
|
"acc_stderr": 0.03929111781242742, |
|
|
"acc_norm": 0.36423841059602646, |
|
|
"acc_norm_stderr": 0.03929111781242742 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.7431192660550459, |
|
|
"acc_stderr": 0.018732492928342472, |
|
|
"acc_norm": 0.7431192660550459, |
|
|
"acc_norm_stderr": 0.018732492928342472 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.4027777777777778, |
|
|
"acc_stderr": 0.033448873829978666, |
|
|
"acc_norm": 0.4027777777777778, |
|
|
"acc_norm_stderr": 0.033448873829978666 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.35294117647058826, |
|
|
"acc_stderr": 0.033540924375915195, |
|
|
"acc_norm": 0.35294117647058826, |
|
|
"acc_norm_stderr": 0.033540924375915195 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7130801687763713, |
|
|
"acc_stderr": 0.029443773022594693, |
|
|
"acc_norm": 0.7130801687763713, |
|
|
"acc_norm_stderr": 0.029443773022594693 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6322869955156951, |
|
|
"acc_stderr": 0.03236198350928275, |
|
|
"acc_norm": 0.6322869955156951, |
|
|
"acc_norm_stderr": 0.03236198350928275 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.6335877862595419, |
|
|
"acc_stderr": 0.04225875451969638, |
|
|
"acc_norm": 0.6335877862595419, |
|
|
"acc_norm_stderr": 0.04225875451969638 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.7107438016528925, |
|
|
"acc_stderr": 0.04139112727635463, |
|
|
"acc_norm": 0.7107438016528925, |
|
|
"acc_norm_stderr": 0.04139112727635463 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.6388888888888888, |
|
|
"acc_stderr": 0.04643454608906275, |
|
|
"acc_norm": 0.6388888888888888, |
|
|
"acc_norm_stderr": 0.04643454608906275 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.6809815950920245, |
|
|
"acc_stderr": 0.03661997551073836, |
|
|
"acc_norm": 0.6809815950920245, |
|
|
"acc_norm_stderr": 0.03661997551073836 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.5357142857142857, |
|
|
"acc_stderr": 0.04733667890053756, |
|
|
"acc_norm": 0.5357142857142857, |
|
|
"acc_norm_stderr": 0.04733667890053756 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.6796116504854369, |
|
|
"acc_stderr": 0.04620284082280041, |
|
|
"acc_norm": 0.6796116504854369, |
|
|
"acc_norm_stderr": 0.04620284082280041 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8333333333333334, |
|
|
"acc_stderr": 0.024414947304543678, |
|
|
"acc_norm": 0.8333333333333334, |
|
|
"acc_norm_stderr": 0.024414947304543678 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.62, |
|
|
"acc_stderr": 0.048783173121456316, |
|
|
"acc_norm": 0.62, |
|
|
"acc_norm_stderr": 0.048783173121456316 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.6717752234993615, |
|
|
"acc_stderr": 0.016791685640192892, |
|
|
"acc_norm": 0.6717752234993615, |
|
|
"acc_norm_stderr": 0.016791685640192892 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.6011560693641619, |
|
|
"acc_stderr": 0.02636243757454654, |
|
|
"acc_norm": 0.6011560693641619, |
|
|
"acc_norm_stderr": 0.02636243757454654 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.2536312849162011, |
|
|
"acc_stderr": 0.014551553659369918, |
|
|
"acc_norm": 0.2536312849162011, |
|
|
"acc_norm_stderr": 0.014551553659369918 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.5686274509803921, |
|
|
"acc_stderr": 0.02835895631342355, |
|
|
"acc_norm": 0.5686274509803921, |
|
|
"acc_norm_stderr": 0.02835895631342355 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.6045016077170418, |
|
|
"acc_stderr": 0.027770918531427838, |
|
|
"acc_norm": 0.6045016077170418, |
|
|
"acc_norm_stderr": 0.027770918531427838 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.5925925925925926, |
|
|
"acc_stderr": 0.027339546640662737, |
|
|
"acc_norm": 0.5925925925925926, |
|
|
"acc_norm_stderr": 0.027339546640662737 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.3829787234042553, |
|
|
"acc_stderr": 0.02899908090480618, |
|
|
"acc_norm": 0.3829787234042553, |
|
|
"acc_norm_stderr": 0.02899908090480618 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.41003911342894395, |
|
|
"acc_stderr": 0.012561837621962047, |
|
|
"acc_norm": 0.41003911342894395, |
|
|
"acc_norm_stderr": 0.012561837621962047 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.3860294117647059, |
|
|
"acc_stderr": 0.029573269134411124, |
|
|
"acc_norm": 0.3860294117647059, |
|
|
"acc_norm_stderr": 0.029573269134411124 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.5392156862745098, |
|
|
"acc_stderr": 0.02016552331390791, |
|
|
"acc_norm": 0.5392156862745098, |
|
|
"acc_norm_stderr": 0.02016552331390791 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6818181818181818, |
|
|
"acc_stderr": 0.04461272175910509, |
|
|
"acc_norm": 0.6818181818181818, |
|
|
"acc_norm_stderr": 0.04461272175910509 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.6693877551020408, |
|
|
"acc_stderr": 0.030116426296540603, |
|
|
"acc_norm": 0.6693877551020408, |
|
|
"acc_norm_stderr": 0.030116426296540603 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.7661691542288557, |
|
|
"acc_stderr": 0.029929415408348384, |
|
|
"acc_norm": 0.7661691542288557, |
|
|
"acc_norm_stderr": 0.029929415408348384 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.72, |
|
|
"acc_stderr": 0.045126085985421276, |
|
|
"acc_norm": 0.72, |
|
|
"acc_norm_stderr": 0.045126085985421276 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5060240963855421, |
|
|
"acc_stderr": 0.03892212195333045, |
|
|
"acc_norm": 0.5060240963855421, |
|
|
"acc_norm_stderr": 0.03892212195333045 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.6549707602339181, |
|
|
"acc_stderr": 0.03645981377388806, |
|
|
"acc_norm": 0.6549707602339181, |
|
|
"acc_norm_stderr": 0.03645981377388806 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.3268053855569155, |
|
|
"mc1_stderr": 0.016419874731135032, |
|
|
"mc2": 0.483169553787504, |
|
|
"mc2_stderr": 0.01519249109360666 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.7482241515390686, |
|
|
"acc_stderr": 0.012198489100259781 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.45109931766489764, |
|
|
"acc_stderr": 0.01370645880966482 |
|
|
} |
|
|
} |
|
|
``` |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Dataset Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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[More Information Needed] |
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## Dataset Structure |
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<!-- 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. --> |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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[More Information Needed] |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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#### Who are the source data producers? |
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<!-- 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. --> |
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[More Information Needed] |
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### Annotations [optional] |
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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#### Annotation process |
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<!-- 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. --> |
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[More Information Needed] |
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#### Who are the annotators? |
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<!-- This section describes the people or systems who created the annotations. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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<!-- 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. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Dataset Card Authors [optional] |
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[More Information Needed] |
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## Dataset Card Contact |
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[More Information Needed] |
