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--- |
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pretty_name: Evaluation run of defog/sqlcoder-34b-alpha |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [defog/sqlcoder-34b-alpha](https://huggingface.co/defog/sqlcoder-34b-alpha) on\ |
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\ 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_defog__sqlcoder-34b-alpha\"\ |
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ |
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These are the [latest results from run 2024-01-06T03:05:19.117137](https://huggingface.co/datasets/open-llm-leaderboard/details_defog__sqlcoder-34b-alpha/blob/main/results_2024-01-06T03-05-19.117137.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\": 0.5437604197711231,\n\ |
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|
\ \"acc_stderr\": 0.03413938521182267,\n \"acc_norm\": 0.5477802905591775,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03485141574526089,\n \"mc1\": 0.2594859241126071,\n\ |
|
|
\ \"mc1_stderr\": 0.015345409485557975,\n \"mc2\": 0.40633628492072343,\n\ |
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\ \"mc2_stderr\": 0.014173068278780471\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.5059726962457338,\n \"acc_stderr\": 0.014610348300255793,\n\ |
|
|
\ \"acc_norm\": 0.5418088737201365,\n \"acc_norm_stderr\": 0.0145602203087147\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5619398526190001,\n\ |
|
|
\ \"acc_stderr\": 0.004951346338164487,\n \"acc_norm\": 0.7593108942441744,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0042662819001443916\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621505,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621505\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4740740740740741,\n\ |
|
|
\ \"acc_stderr\": 0.04313531696750574,\n \"acc_norm\": 0.4740740740740741,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04313531696750574\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.5592105263157895,\n \"acc_stderr\": 0.04040311062490435,\n\ |
|
|
\ \"acc_norm\": 0.5592105263157895,\n \"acc_norm_stderr\": 0.04040311062490435\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\": 0.5320754716981132,\n \"acc_stderr\": 0.030709486992556545,\n\ |
|
|
\ \"acc_norm\": 0.5320754716981132,\n \"acc_norm_stderr\": 0.030709486992556545\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5277777777777778,\n\ |
|
|
\ \"acc_stderr\": 0.04174752578923185,\n \"acc_norm\": 0.5277777777777778,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04174752578923185\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \ |
|
|
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ |
|
|
acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\": 0.45,\n \ |
|
|
\ \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.44508670520231214,\n\ |
|
|
\ \"acc_stderr\": 0.03789401760283647,\n \"acc_norm\": 0.44508670520231214,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03789401760283647\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.04755129616062947,\n\ |
|
|
\ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.04755129616062947\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \"acc_norm\": 0.73,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04461960433384739\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.03257901482099835,\n\ |
|
|
\ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.03257901482099835\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.39473684210526316,\n\ |
|
|
\ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ |
|
|
\ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\ |
|
|
\ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.3968253968253968,\n \"acc_stderr\": 0.0251971010742465,\n \"acc_norm\"\ |
|
|
: 0.3968253968253968,\n \"acc_norm_stderr\": 0.0251971010742465\n },\n\ |
|
|
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\ |
|
|
\ \"acc_stderr\": 0.04415438226743743,\n \"acc_norm\": 0.42063492063492064,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04415438226743743\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ |
|
|
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6290322580645161,\n\ |
|
|
\ \"acc_stderr\": 0.027480541887953593,\n \"acc_norm\": 0.6290322580645161,\n\ |
|
|
\ \"acc_norm_stderr\": 0.027480541887953593\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.4039408866995074,\n \"acc_stderr\": 0.0345245390382204,\n\ |
|
|
\ \"acc_norm\": 0.4039408866995074,\n \"acc_norm_stderr\": 0.0345245390382204\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\"\ |
|
|
: 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7090909090909091,\n \"acc_stderr\": 0.03546563019624336,\n\ |
|
|
\ \"acc_norm\": 0.7090909090909091,\n \"acc_norm_stderr\": 0.03546563019624336\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.6818181818181818,\n \"acc_stderr\": 0.033184773338453294,\n \"\ |
|
|
acc_norm\": 0.6818181818181818,\n \"acc_norm_stderr\": 0.033184773338453294\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\ |
|
|
\ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.49230769230769234,\n \"acc_stderr\": 0.025348006031534788,\n\ |
|
|
\ \"acc_norm\": 0.49230769230769234,\n \"acc_norm_stderr\": 0.025348006031534788\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.3333333333333333,\n \"acc_stderr\": 0.028742040903948482,\n \ |
|
|
\ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.028742040903948482\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.5504201680672269,\n \"acc_stderr\": 0.03231293497137707,\n \ |
|
|
\ \"acc_norm\": 0.5504201680672269,\n \"acc_norm_stderr\": 0.03231293497137707\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ |
|
|
acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.689908256880734,\n \"acc_stderr\": 0.019830849684439756,\n \"\ |
|
|
acc_norm\": 0.689908256880734,\n \"acc_norm_stderr\": 0.019830849684439756\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n \"\ |
|
|
acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.7058823529411765,\n \"acc_stderr\": 0.03198001660115071,\n \"\ |
|
|
acc_norm\": 0.7058823529411765,\n \"acc_norm_stderr\": 0.03198001660115071\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7130801687763713,\n \"acc_stderr\": 0.02944377302259469,\n \ |
|
|
\ \"acc_norm\": 0.7130801687763713,\n \"acc_norm_stderr\": 0.02944377302259469\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5515695067264574,\n\ |
|
|
\ \"acc_stderr\": 0.03337883736255097,\n \"acc_norm\": 0.5515695067264574,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03337883736255097\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.5419847328244275,\n \"acc_stderr\": 0.04369802690578756,\n\ |
|
|
\ \"acc_norm\": 0.5419847328244275,\n \"acc_norm_stderr\": 0.04369802690578756\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.71900826446281,\n \"acc_stderr\": 0.04103203830514512,\n \"acc_norm\"\ |
|
|
: 0.71900826446281,\n \"acc_norm_stderr\": 0.04103203830514512\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\": 0.6932515337423313,\n \"acc_stderr\": 0.03623089915724146,\n\ |
|
|
\ \"acc_norm\": 0.6932515337423313,\n \"acc_norm_stderr\": 0.03623089915724146\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ |
|
|
\ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729224,\n\ |
|
|
\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8034188034188035,\n\ |
|
|
\ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.8034188034188035,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ |
|
|
: 0.55,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-miscellaneous|5\"\ |
|
|
: {\n \"acc\": 0.7075351213282248,\n \"acc_stderr\": 0.016267000684598645,\n\ |
|
|
\ \"acc_norm\": 0.7075351213282248,\n \"acc_norm_stderr\": 0.016267000684598645\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_disputes|5\": {\n \"acc\": 0.5578034682080925,\n\ |
|
|
\ \"acc_stderr\": 0.026738603643807403,\n \"acc_norm\": 0.5578034682080925,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026738603643807403\n },\n \"harness|hendrycksTest-moral_scenarios|5\"\ |
|
|
: {\n \"acc\": 0.2569832402234637,\n \"acc_stderr\": 0.014614465821966346,\n\ |
|
|
\ \"acc_norm\": 0.2569832402234637,\n \"acc_norm_stderr\": 0.014614465821966346\n\ |
|
|
\ },\n \"harness|hendrycksTest-nutrition|5\": {\n \"acc\": 0.5882352941176471,\n\ |
|
|
\ \"acc_stderr\": 0.028180596328259287,\n \"acc_norm\": 0.5882352941176471,\n\ |
|
|
\ \"acc_norm_stderr\": 0.028180596328259287\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\": 0.027339546640662734,\n \"acc_norm\": 0.5925925925925926,\n\ |
|
|
\ \"acc_norm_stderr\": 0.027339546640662734\n },\n \"harness|hendrycksTest-professional_accounting|5\"\ |
|
|
: {\n \"acc\": 0.38652482269503546,\n \"acc_stderr\": 0.029049190342543465,\n\ |
|
|
\ \"acc_norm\": 0.38652482269503546,\n \"acc_norm_stderr\": 0.029049190342543465\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.38722294654498046,\n\ |
|
|
\ \"acc_stderr\": 0.012441155326854924,\n \"acc_norm\": 0.38722294654498046,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012441155326854924\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121603,\n\ |
|
|
\ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121603\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.49019607843137253,\n \"acc_stderr\": 0.020223946005074305,\n \ |
|
|
\ \"acc_norm\": 0.49019607843137253,\n \"acc_norm_stderr\": 0.020223946005074305\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6,\n\ |
|
|
\ \"acc_stderr\": 0.0469237132203465,\n \"acc_norm\": 0.6,\n \ |
|
|
\ \"acc_norm_stderr\": 0.0469237132203465\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\": 0.7263681592039801,\n\ |
|
|
\ \"acc_stderr\": 0.03152439186555404,\n \"acc_norm\": 0.7263681592039801,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03152439186555404\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ |
|
|
\ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.43373493975903615,\n\ |
|
|
\ \"acc_stderr\": 0.03858158940685517,\n \"acc_norm\": 0.43373493975903615,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03858158940685517\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.7485380116959064,\n \"acc_stderr\": 0.033275044238468436,\n\ |
|
|
\ \"acc_norm\": 0.7485380116959064,\n \"acc_norm_stderr\": 0.033275044238468436\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2594859241126071,\n\ |
|
|
\ \"mc1_stderr\": 0.015345409485557975,\n \"mc2\": 0.40633628492072343,\n\ |
|
|
\ \"mc2_stderr\": 0.014173068278780471\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.7348066298342542,\n \"acc_stderr\": 0.01240654946619286\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.34874905231235787,\n \ |
|
|
\ \"acc_stderr\": 0.01312722705503586\n }\n}\n```" |
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|
repo_url: https://huggingface.co/defog/sqlcoder-34b-alpha |
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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_01_06T03_05_19.117137 |
|
|
path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-06T03-05-19.117137.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
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path: |
|
|
- '**/details_harness|gsm8k|5_2024-01-06T03-05-19.117137.parquet' |
|
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- split: latest |
|
|
path: |
|
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- '**/details_harness|gsm8k|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hellaswag_10 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hellaswag|10_2024-01-06T03-05-19.117137.parquet' |
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|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hellaswag|10_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-international_law|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-management|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-marketing|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-computer_security|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-econometrics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-global_facts|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-human_aging|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-international_law|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-management|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-marketing|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_abstract_algebra_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_anatomy_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-anatomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_astronomy_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-astronomy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_business_ethics_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-06T03-05-19.117137.parquet' |
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- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_clinical_knowledge_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_biology_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-06T03-05-19.117137.parquet' |
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- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_biology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_chemistry_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
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|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_computer_science_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
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|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_mathematics_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
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|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_medicine_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-06T03-05-19.117137.parquet' |
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|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_college_physics_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-college_physics|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_computer_security_5 |
|
|
data_files: |
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- config_name: harness_hendrycksTest_conceptual_physics_5 |
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- config_name: harness_hendrycksTest_elementary_mathematics_5 |
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- config_name: harness_hendrycksTest_formal_logic_5 |
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- config_name: harness_hendrycksTest_high_school_biology_5 |
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- config_name: harness_hendrycksTest_high_school_computer_science_5 |
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- config_name: harness_hendrycksTest_high_school_european_history_5 |
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- config_name: harness_hendrycksTest_high_school_mathematics_5 |
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- config_name: harness_hendrycksTest_high_school_us_history_5 |
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- config_name: harness_hendrycksTest_moral_scenarios_5 |
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- config_name: harness_hendrycksTest_nutrition_5 |
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- config_name: harness_hendrycksTest_philosophy_5 |
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path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-06T03-05-19.117137.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_01_06T03_05_19.117137 |
|
|
path: |
|
|
- results_2024-01-06T03-05-19.117137.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-01-06T03-05-19.117137.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of defog/sqlcoder-34b-alpha |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
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|
|
|
Dataset automatically created during the evaluation run of model [defog/sqlcoder-34b-alpha](https://huggingface.co/defog/sqlcoder-34b-alpha) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
|
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|
|
|
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. |
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|
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_defog__sqlcoder-34b-alpha", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-01-06T03:05:19.117137](https://huggingface.co/datasets/open-llm-leaderboard/details_defog__sqlcoder-34b-alpha/blob/main/results_2024-01-06T03-05-19.117137.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": 0.5437604197711231, |
|
|
"acc_stderr": 0.03413938521182267, |
|
|
"acc_norm": 0.5477802905591775, |
|
|
"acc_norm_stderr": 0.03485141574526089, |
|
|
"mc1": 0.2594859241126071, |
|
|
"mc1_stderr": 0.015345409485557975, |
|
|
"mc2": 0.40633628492072343, |
|
|
"mc2_stderr": 0.014173068278780471 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.5059726962457338, |
|
|
"acc_stderr": 0.014610348300255793, |
|
|
"acc_norm": 0.5418088737201365, |
|
|
"acc_norm_stderr": 0.0145602203087147 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.5619398526190001, |
|
|
"acc_stderr": 0.004951346338164487, |
|
|
"acc_norm": 0.7593108942441744, |
|
|
"acc_norm_stderr": 0.0042662819001443916 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.04688261722621505, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.04688261722621505 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.4740740740740741, |
|
|
"acc_stderr": 0.04313531696750574, |
|
|
"acc_norm": 0.4740740740740741, |
|
|
"acc_norm_stderr": 0.04313531696750574 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.5592105263157895, |
|
|
"acc_stderr": 0.04040311062490435, |
|
|
"acc_norm": 0.5592105263157895, |
|
|
"acc_norm_stderr": 0.04040311062490435 |
|
|
}, |
|
|
"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": 0.5320754716981132, |
|
|
"acc_stderr": 0.030709486992556545, |
|
|
"acc_norm": 0.5320754716981132, |
|
|
"acc_norm_stderr": 0.030709486992556545 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.5277777777777778, |
|
|
"acc_stderr": 0.04174752578923185, |
|
|
"acc_norm": 0.5277777777777778, |
|
|
"acc_norm_stderr": 0.04174752578923185 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.43, |
|
|
"acc_stderr": 0.049756985195624284, |
|
|
"acc_norm": 0.43, |
|
|
"acc_norm_stderr": 0.049756985195624284 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.45, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.45, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.046882617226215034, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.046882617226215034 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.44508670520231214, |
|
|
"acc_stderr": 0.03789401760283647, |
|
|
"acc_norm": 0.44508670520231214, |
|
|
"acc_norm_stderr": 0.03789401760283647 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.35294117647058826, |
|
|
"acc_stderr": 0.04755129616062947, |
|
|
"acc_norm": 0.35294117647058826, |
|
|
"acc_norm_stderr": 0.04755129616062947 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.73, |
|
|
"acc_stderr": 0.04461960433384739, |
|
|
"acc_norm": 0.73, |
|
|
"acc_norm_stderr": 0.04461960433384739 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.4595744680851064, |
|
|
"acc_stderr": 0.03257901482099835, |
|
|
"acc_norm": 0.4595744680851064, |
|
|
"acc_norm_stderr": 0.03257901482099835 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.39473684210526316, |
|
|
"acc_stderr": 0.045981880578165414, |
|
|
"acc_norm": 0.39473684210526316, |
|
|
"acc_norm_stderr": 0.045981880578165414 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5379310344827586, |
|
|
"acc_stderr": 0.041546596717075474, |
|
|
"acc_norm": 0.5379310344827586, |
|
|
"acc_norm_stderr": 0.041546596717075474 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.3968253968253968, |
|
|
"acc_stderr": 0.0251971010742465, |
|
|
"acc_norm": 0.3968253968253968, |
|
|
"acc_norm_stderr": 0.0251971010742465 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.42063492063492064, |
|
|
"acc_stderr": 0.04415438226743743, |
|
|
"acc_norm": 0.42063492063492064, |
|
|
"acc_norm_stderr": 0.04415438226743743 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.31, |
|
|
"acc_stderr": 0.04648231987117316, |
|
|
"acc_norm": 0.31, |
|
|
"acc_norm_stderr": 0.04648231987117316 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.6290322580645161, |
|
|
"acc_stderr": 0.027480541887953593, |
|
|
"acc_norm": 0.6290322580645161, |
|
|
"acc_norm_stderr": 0.027480541887953593 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.4039408866995074, |
|
|
"acc_stderr": 0.0345245390382204, |
|
|
"acc_norm": 0.4039408866995074, |
|
|
"acc_norm_stderr": 0.0345245390382204 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.74, |
|
|
"acc_stderr": 0.044084400227680794, |
|
|
"acc_norm": 0.74, |
|
|
"acc_norm_stderr": 0.044084400227680794 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7090909090909091, |
|
|
"acc_stderr": 0.03546563019624336, |
|
|
"acc_norm": 0.7090909090909091, |
|
|
"acc_norm_stderr": 0.03546563019624336 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.6818181818181818, |
|
|
"acc_stderr": 0.033184773338453294, |
|
|
"acc_norm": 0.6818181818181818, |
|
|
"acc_norm_stderr": 0.033184773338453294 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.7772020725388601, |
|
|
"acc_stderr": 0.03003114797764154, |
|
|
"acc_norm": 0.7772020725388601, |
|
|
"acc_norm_stderr": 0.03003114797764154 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.49230769230769234, |
|
|
"acc_stderr": 0.025348006031534788, |
|
|
"acc_norm": 0.49230769230769234, |
|
|
"acc_norm_stderr": 0.025348006031534788 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.3333333333333333, |
|
|
"acc_stderr": 0.028742040903948482, |
|
|
"acc_norm": 0.3333333333333333, |
|
|
"acc_norm_stderr": 0.028742040903948482 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.5504201680672269, |
|
|
"acc_stderr": 0.03231293497137707, |
|
|
"acc_norm": 0.5504201680672269, |
|
|
"acc_norm_stderr": 0.03231293497137707 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.3708609271523179, |
|
|
"acc_stderr": 0.03943966699183629, |
|
|
"acc_norm": 0.3708609271523179, |
|
|
"acc_norm_stderr": 0.03943966699183629 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.689908256880734, |
|
|
"acc_stderr": 0.019830849684439756, |
|
|
"acc_norm": 0.689908256880734, |
|
|
"acc_norm_stderr": 0.019830849684439756 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.4444444444444444, |
|
|
"acc_stderr": 0.03388857118502326, |
|
|
"acc_norm": 0.4444444444444444, |
|
|
"acc_norm_stderr": 0.03388857118502326 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.7058823529411765, |
|
|
"acc_stderr": 0.03198001660115071, |
|
|
"acc_norm": 0.7058823529411765, |
|
|
"acc_norm_stderr": 0.03198001660115071 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7130801687763713, |
|
|
"acc_stderr": 0.02944377302259469, |
|
|
"acc_norm": 0.7130801687763713, |
|
|
"acc_norm_stderr": 0.02944377302259469 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.5515695067264574, |
|
|
"acc_stderr": 0.03337883736255097, |
|
|
"acc_norm": 0.5515695067264574, |
|
|
"acc_norm_stderr": 0.03337883736255097 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.5419847328244275, |
|
|
"acc_stderr": 0.04369802690578756, |
|
|
"acc_norm": 0.5419847328244275, |
|
|
"acc_norm_stderr": 0.04369802690578756 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.71900826446281, |
|
|
"acc_stderr": 0.04103203830514512, |
|
|
"acc_norm": 0.71900826446281, |
|
|
"acc_norm_stderr": 0.04103203830514512 |
|
|
}, |
|
|
"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": 0.6932515337423313, |
|
|
"acc_stderr": 0.03623089915724146, |
|
|
"acc_norm": 0.6932515337423313, |
|
|
"acc_norm_stderr": 0.03623089915724146 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.4107142857142857, |
|
|
"acc_stderr": 0.04669510663875191, |
|
|
"acc_norm": 0.4107142857142857, |
|
|
"acc_norm_stderr": 0.04669510663875191 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7087378640776699, |
|
|
"acc_stderr": 0.044986763205729224, |
|
|
"acc_norm": 0.7087378640776699, |
|
|
"acc_norm_stderr": 0.044986763205729224 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8034188034188035, |
|
|
"acc_stderr": 0.02603538609895129, |
|
|
"acc_norm": 0.8034188034188035, |
|
|
"acc_norm_stderr": 0.02603538609895129 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.55, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.55, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.7075351213282248, |
|
|
"acc_stderr": 0.016267000684598645, |
|
|
"acc_norm": 0.7075351213282248, |
|
|
"acc_norm_stderr": 0.016267000684598645 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.5578034682080925, |
|
|
"acc_stderr": 0.026738603643807403, |
|
|
"acc_norm": 0.5578034682080925, |
|
|
"acc_norm_stderr": 0.026738603643807403 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.2569832402234637, |
|
|
"acc_stderr": 0.014614465821966346, |
|
|
"acc_norm": 0.2569832402234637, |
|
|
"acc_norm_stderr": 0.014614465821966346 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.5882352941176471, |
|
|
"acc_stderr": 0.028180596328259287, |
|
|
"acc_norm": 0.5882352941176471, |
|
|
"acc_norm_stderr": 0.028180596328259287 |
|
|
}, |
|
|
"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": 0.027339546640662734, |
|
|
"acc_norm": 0.5925925925925926, |
|
|
"acc_norm_stderr": 0.027339546640662734 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.38652482269503546, |
|
|
"acc_stderr": 0.029049190342543465, |
|
|
"acc_norm": 0.38652482269503546, |
|
|
"acc_norm_stderr": 0.029049190342543465 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.38722294654498046, |
|
|
"acc_stderr": 0.012441155326854924, |
|
|
"acc_norm": 0.38722294654498046, |
|
|
"acc_norm_stderr": 0.012441155326854924 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.4485294117647059, |
|
|
"acc_stderr": 0.030211479609121603, |
|
|
"acc_norm": 0.4485294117647059, |
|
|
"acc_norm_stderr": 0.030211479609121603 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.49019607843137253, |
|
|
"acc_stderr": 0.020223946005074305, |
|
|
"acc_norm": 0.49019607843137253, |
|
|
"acc_norm_stderr": 0.020223946005074305 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6, |
|
|
"acc_stderr": 0.0469237132203465, |
|
|
"acc_norm": 0.6, |
|
|
"acc_norm_stderr": 0.0469237132203465 |
|
|
}, |
|
|
"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": 0.7263681592039801, |
|
|
"acc_stderr": 0.03152439186555404, |
|
|
"acc_norm": 0.7263681592039801, |
|
|
"acc_norm_stderr": 0.03152439186555404 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.73, |
|
|
"acc_stderr": 0.044619604333847394, |
|
|
"acc_norm": 0.73, |
|
|
"acc_norm_stderr": 0.044619604333847394 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.43373493975903615, |
|
|
"acc_stderr": 0.03858158940685517, |
|
|
"acc_norm": 0.43373493975903615, |
|
|
"acc_norm_stderr": 0.03858158940685517 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.7485380116959064, |
|
|
"acc_stderr": 0.033275044238468436, |
|
|
"acc_norm": 0.7485380116959064, |
|
|
"acc_norm_stderr": 0.033275044238468436 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.2594859241126071, |
|
|
"mc1_stderr": 0.015345409485557975, |
|
|
"mc2": 0.40633628492072343, |
|
|
"mc2_stderr": 0.014173068278780471 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.7348066298342542, |
|
|
"acc_stderr": 0.01240654946619286 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.34874905231235787, |
|
|
"acc_stderr": 0.01312722705503586 |
|
|
} |
|
|
} |
|
|
``` |
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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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<!-- Provide the basic links for the dataset. --> |
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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] |
