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--- |
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pretty_name: Evaluation run of MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1 |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1](https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1)\ |
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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_MaziyarPanahi__TheTop-5x7B-Instruct-T-v0.1\"\ |
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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 2024-02-18T23:28:39.721195](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__TheTop-5x7B-Instruct-T-v0.1/blob/main/results_2024-02-18T23-28-39.721195.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\": 0.6487801278765712,\n\ |
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\ \"acc_stderr\": 0.03219011246717665,\n \"acc_norm\": 0.6479445077777353,\n\ |
|
|
\ \"acc_norm_stderr\": 0.032868022907407396,\n \"mc1\": 0.5862913096695227,\n\ |
|
|
\ \"mc1_stderr\": 0.0172408618120998,\n \"mc2\": 0.7078078883926877,\n\ |
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|
\ \"mc2_stderr\": 0.015097515102384168\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.7167235494880546,\n \"acc_stderr\": 0.013167478735134575,\n\ |
|
|
\ \"acc_norm\": 0.7363481228668942,\n \"acc_norm_stderr\": 0.012875929151297044\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7321250746863175,\n\ |
|
|
\ \"acc_stderr\": 0.004419469983939178,\n \"acc_norm\": 0.8884684325831508,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0031414591751392717\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6518518518518519,\n\ |
|
|
\ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ |
|
|
\ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.7039473684210527,\n \"acc_stderr\": 0.03715062154998904,\n\ |
|
|
\ \"acc_norm\": 0.7039473684210527,\n \"acc_norm_stderr\": 0.03715062154998904\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.61,\n\ |
|
|
\ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7132075471698113,\n \"acc_stderr\": 0.02783491252754407,\n\ |
|
|
\ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.02783491252754407\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\ |
|
|
\ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \ |
|
|
\ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620333,\n \ |
|
|
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620333\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ |
|
|
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6589595375722543,\n\ |
|
|
\ \"acc_stderr\": 0.036146654241808254,\n \"acc_norm\": 0.6589595375722543,\n\ |
|
|
\ \"acc_norm_stderr\": 0.036146654241808254\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ |
|
|
\ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.77,\n \"acc_stderr\": 0.04229525846816506,\n \"acc_norm\": 0.77,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04229525846816506\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ |
|
|
\ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ |
|
|
\ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ |
|
|
\ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055277,\n \"\ |
|
|
acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055277\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ |
|
|
\ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ |
|
|
\ \"acc_norm_stderr\": 0.044715725362943486\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\ |
|
|
: 0.7967741935483871,\n \"acc_stderr\": 0.02289168798455496,\n \"\ |
|
|
acc_norm\": 0.7967741935483871,\n \"acc_norm_stderr\": 0.02289168798455496\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ |
|
|
: 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n \"\ |
|
|
acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ |
|
|
: 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ |
|
|
\ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.803030303030303,\n \"acc_stderr\": 0.028335609732463362,\n \"\ |
|
|
acc_norm\": 0.803030303030303,\n \"acc_norm_stderr\": 0.028335609732463362\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.020986854593289733,\n\ |
|
|
\ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.020986854593289733\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6487179487179487,\n \"acc_stderr\": 0.024203665177902803,\n\ |
|
|
\ \"acc_norm\": 0.6487179487179487,\n \"acc_norm_stderr\": 0.024203665177902803\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.3333333333333333,\n \"acc_stderr\": 0.02874204090394848,\n \ |
|
|
\ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.02874204090394848\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6554621848739496,\n \"acc_stderr\": 0.03086868260412162,\n \ |
|
|
\ \"acc_norm\": 0.6554621848739496,\n \"acc_norm_stderr\": 0.03086868260412162\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.32450331125827814,\n \"acc_stderr\": 0.038227469376587525,\n \"\ |
|
|
acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.038227469376587525\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8403669724770643,\n \"acc_stderr\": 0.015703498348461763,\n \"\ |
|
|
acc_norm\": 0.8403669724770643,\n \"acc_norm_stderr\": 0.015703498348461763\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5046296296296297,\n \"acc_stderr\": 0.03409825519163572,\n \"\ |
|
|
acc_norm\": 0.5046296296296297,\n \"acc_norm_stderr\": 0.03409825519163572\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.8235294117647058,\n \"acc_stderr\": 0.026756401538078962,\n \"\ |
|
|
acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.026756401538078962\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7721518987341772,\n \"acc_stderr\": 0.02730348459906944,\n \ |
|
|
\ \"acc_norm\": 0.7721518987341772,\n \"acc_norm_stderr\": 0.02730348459906944\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ |
|
|
\ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.7862595419847328,\n \"acc_stderr\": 0.0359546161177469,\n\ |
|
|
\ \"acc_norm\": 0.7862595419847328,\n \"acc_norm_stderr\": 0.0359546161177469\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ |
|
|
acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ |
|
|
\ \"acc_stderr\": 0.0401910747255735,\n \"acc_norm\": 0.7777777777777778,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0401910747255735\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7423312883435583,\n \"acc_stderr\": 0.03436150827846917,\n\ |
|
|
\ \"acc_norm\": 0.7423312883435583,\n \"acc_norm_stderr\": 0.03436150827846917\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ |
|
|
\ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ |
|
|
\ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8846153846153846,\n\ |
|
|
\ \"acc_stderr\": 0.02093019318517933,\n \"acc_norm\": 0.8846153846153846,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02093019318517933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ |
|
|
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.80970625798212,\n\ |
|
|
\ \"acc_stderr\": 0.014036945850381396,\n \"acc_norm\": 0.80970625798212,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014036945850381396\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258172,\n\ |
|
|
\ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258172\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.47150837988826816,\n\ |
|
|
\ \"acc_stderr\": 0.016695329746015796,\n \"acc_norm\": 0.47150837988826816,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016695329746015796\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.7189542483660131,\n \"acc_stderr\": 0.025738854797818733,\n\ |
|
|
\ \"acc_norm\": 0.7189542483660131,\n \"acc_norm_stderr\": 0.025738854797818733\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7170418006430869,\n\ |
|
|
\ \"acc_stderr\": 0.025583062489984813,\n \"acc_norm\": 0.7170418006430869,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025583062489984813\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035457,\n\ |
|
|
\ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035457\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.475177304964539,\n \"acc_stderr\": 0.029790719243829727,\n \ |
|
|
\ \"acc_norm\": 0.475177304964539,\n \"acc_norm_stderr\": 0.029790719243829727\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.470013037809648,\n\ |
|
|
\ \"acc_stderr\": 0.01274724896707906,\n \"acc_norm\": 0.470013037809648,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01274724896707906\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6691176470588235,\n \"acc_stderr\": 0.028582709753898445,\n\ |
|
|
\ \"acc_norm\": 0.6691176470588235,\n \"acc_norm_stderr\": 0.028582709753898445\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6584967320261438,\n \"acc_stderr\": 0.019184639328092487,\n \ |
|
|
\ \"acc_norm\": 0.6584967320261438,\n \"acc_norm_stderr\": 0.019184639328092487\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\ |
|
|
\ \"acc_stderr\": 0.044612721759105085,\n \"acc_norm\": 0.6818181818181818,\n\ |
|
|
\ \"acc_norm_stderr\": 0.044612721759105085\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7306122448979592,\n \"acc_stderr\": 0.02840125202902294,\n\ |
|
|
\ \"acc_norm\": 0.7306122448979592,\n \"acc_norm_stderr\": 0.02840125202902294\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\ |
|
|
\ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.03588702812826371,\n \ |
|
|
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.03588702812826371\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5542168674698795,\n\ |
|
|
\ \"acc_stderr\": 0.03869543323472101,\n \"acc_norm\": 0.5542168674698795,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03869543323472101\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ |
|
|
\ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5862913096695227,\n\ |
|
|
\ \"mc1_stderr\": 0.0172408618120998,\n \"mc2\": 0.7078078883926877,\n\ |
|
|
\ \"mc2_stderr\": 0.015097515102384168\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8579321231254933,\n \"acc_stderr\": 0.009812000391679367\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6648976497346475,\n \ |
|
|
\ \"acc_stderr\": 0.013001948176422954\n }\n}\n```" |
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repo_url: https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1 |
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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_18T23_28_39.721195 |
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path: |
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- '**/details_harness|arc:challenge|25_2024-02-18T23-28-39.721195.parquet' |
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- split: latest |
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|
path: |
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- '**/details_harness|arc:challenge|25_2024-02-18T23-28-39.721195.parquet' |
|
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- config_name: harness_gsm8k_5 |
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data_files: |
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- split: 2024_02_18T23_28_39.721195 |
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path: |
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- '**/details_harness|gsm8k|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|gsm8k|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hellaswag|10_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T23-28-39.721195.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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- split: 2024_02_18T23_28_39.721195 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_02_18T23_28_39.721195 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_02_18T23_28_39.721195 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-18T23-28-39.721195.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-18T23-28-39.721195.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-18T23-28-39.721195.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_18T23_28_39.721195 |
|
|
path: |
|
|
- results_2024-02-18T23-28-39.721195.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-18T23-28-39.721195.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1 |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1](https://huggingface.co/MaziyarPanahi/TheTop-5x7B-Instruct-T-v0.1) 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_MaziyarPanahi__TheTop-5x7B-Instruct-T-v0.1", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-18T23:28:39.721195](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__TheTop-5x7B-Instruct-T-v0.1/blob/main/results_2024-02-18T23-28-39.721195.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": 0.6487801278765712, |
|
|
"acc_stderr": 0.03219011246717665, |
|
|
"acc_norm": 0.6479445077777353, |
|
|
"acc_norm_stderr": 0.032868022907407396, |
|
|
"mc1": 0.5862913096695227, |
|
|
"mc1_stderr": 0.0172408618120998, |
|
|
"mc2": 0.7078078883926877, |
|
|
"mc2_stderr": 0.015097515102384168 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.7167235494880546, |
|
|
"acc_stderr": 0.013167478735134575, |
|
|
"acc_norm": 0.7363481228668942, |
|
|
"acc_norm_stderr": 0.012875929151297044 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.7321250746863175, |
|
|
"acc_stderr": 0.004419469983939178, |
|
|
"acc_norm": 0.8884684325831508, |
|
|
"acc_norm_stderr": 0.0031414591751392717 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.31, |
|
|
"acc_stderr": 0.04648231987117316, |
|
|
"acc_norm": 0.31, |
|
|
"acc_norm_stderr": 0.04648231987117316 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.6518518518518519, |
|
|
"acc_stderr": 0.041153246103369526, |
|
|
"acc_norm": 0.6518518518518519, |
|
|
"acc_norm_stderr": 0.041153246103369526 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.7039473684210527, |
|
|
"acc_stderr": 0.03715062154998904, |
|
|
"acc_norm": 0.7039473684210527, |
|
|
"acc_norm_stderr": 0.03715062154998904 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.61, |
|
|
"acc_stderr": 0.04902071300001975, |
|
|
"acc_norm": 0.61, |
|
|
"acc_norm_stderr": 0.04902071300001975 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7132075471698113, |
|
|
"acc_stderr": 0.02783491252754407, |
|
|
"acc_norm": 0.7132075471698113, |
|
|
"acc_norm_stderr": 0.02783491252754407 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.75, |
|
|
"acc_stderr": 0.03621034121889507, |
|
|
"acc_norm": 0.75, |
|
|
"acc_norm_stderr": 0.03621034121889507 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.46, |
|
|
"acc_stderr": 0.05009082659620333, |
|
|
"acc_norm": 0.46, |
|
|
"acc_norm_stderr": 0.05009082659620333 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.55, |
|
|
"acc_stderr": 0.05, |
|
|
"acc_norm": 0.55, |
|
|
"acc_norm_stderr": 0.05 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.3, |
|
|
"acc_stderr": 0.046056618647183814, |
|
|
"acc_norm": 0.3, |
|
|
"acc_norm_stderr": 0.046056618647183814 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.6589595375722543, |
|
|
"acc_stderr": 0.036146654241808254, |
|
|
"acc_norm": 0.6589595375722543, |
|
|
"acc_norm_stderr": 0.036146654241808254 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.43137254901960786, |
|
|
"acc_stderr": 0.04928099597287534, |
|
|
"acc_norm": 0.43137254901960786, |
|
|
"acc_norm_stderr": 0.04928099597287534 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.77, |
|
|
"acc_stderr": 0.04229525846816506, |
|
|
"acc_norm": 0.77, |
|
|
"acc_norm_stderr": 0.04229525846816506 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.548936170212766, |
|
|
"acc_stderr": 0.032529096196131965, |
|
|
"acc_norm": 0.548936170212766, |
|
|
"acc_norm_stderr": 0.032529096196131965 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.49122807017543857, |
|
|
"acc_stderr": 0.04702880432049615, |
|
|
"acc_norm": 0.49122807017543857, |
|
|
"acc_norm_stderr": 0.04702880432049615 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5517241379310345, |
|
|
"acc_stderr": 0.04144311810878152, |
|
|
"acc_norm": 0.5517241379310345, |
|
|
"acc_norm_stderr": 0.04144311810878152 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.4126984126984127, |
|
|
"acc_stderr": 0.025355741263055277, |
|
|
"acc_norm": 0.4126984126984127, |
|
|
"acc_norm_stderr": 0.025355741263055277 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.49206349206349204, |
|
|
"acc_stderr": 0.044715725362943486, |
|
|
"acc_norm": 0.49206349206349204, |
|
|
"acc_norm_stderr": 0.044715725362943486 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7967741935483871, |
|
|
"acc_stderr": 0.02289168798455496, |
|
|
"acc_norm": 0.7967741935483871, |
|
|
"acc_norm_stderr": 0.02289168798455496 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.5024630541871922, |
|
|
"acc_stderr": 0.035179450386910616, |
|
|
"acc_norm": 0.5024630541871922, |
|
|
"acc_norm_stderr": 0.035179450386910616 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.7, |
|
|
"acc_stderr": 0.046056618647183814, |
|
|
"acc_norm": 0.7, |
|
|
"acc_norm_stderr": 0.046056618647183814 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7575757575757576, |
|
|
"acc_stderr": 0.03346409881055953, |
|
|
"acc_norm": 0.7575757575757576, |
|
|
"acc_norm_stderr": 0.03346409881055953 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.803030303030303, |
|
|
"acc_stderr": 0.028335609732463362, |
|
|
"acc_norm": 0.803030303030303, |
|
|
"acc_norm_stderr": 0.028335609732463362 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.9067357512953368, |
|
|
"acc_stderr": 0.020986854593289733, |
|
|
"acc_norm": 0.9067357512953368, |
|
|
"acc_norm_stderr": 0.020986854593289733 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6487179487179487, |
|
|
"acc_stderr": 0.024203665177902803, |
|
|
"acc_norm": 0.6487179487179487, |
|
|
"acc_norm_stderr": 0.024203665177902803 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.3333333333333333, |
|
|
"acc_stderr": 0.02874204090394848, |
|
|
"acc_norm": 0.3333333333333333, |
|
|
"acc_norm_stderr": 0.02874204090394848 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6554621848739496, |
|
|
"acc_stderr": 0.03086868260412162, |
|
|
"acc_norm": 0.6554621848739496, |
|
|
"acc_norm_stderr": 0.03086868260412162 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.32450331125827814, |
|
|
"acc_stderr": 0.038227469376587525, |
|
|
"acc_norm": 0.32450331125827814, |
|
|
"acc_norm_stderr": 0.038227469376587525 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8403669724770643, |
|
|
"acc_stderr": 0.015703498348461763, |
|
|
"acc_norm": 0.8403669724770643, |
|
|
"acc_norm_stderr": 0.015703498348461763 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5046296296296297, |
|
|
"acc_stderr": 0.03409825519163572, |
|
|
"acc_norm": 0.5046296296296297, |
|
|
"acc_norm_stderr": 0.03409825519163572 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.8235294117647058, |
|
|
"acc_stderr": 0.026756401538078962, |
|
|
"acc_norm": 0.8235294117647058, |
|
|
"acc_norm_stderr": 0.026756401538078962 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7721518987341772, |
|
|
"acc_stderr": 0.02730348459906944, |
|
|
"acc_norm": 0.7721518987341772, |
|
|
"acc_norm_stderr": 0.02730348459906944 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6816143497757847, |
|
|
"acc_stderr": 0.03126580522513713, |
|
|
"acc_norm": 0.6816143497757847, |
|
|
"acc_norm_stderr": 0.03126580522513713 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.7862595419847328, |
|
|
"acc_stderr": 0.0359546161177469, |
|
|
"acc_norm": 0.7862595419847328, |
|
|
"acc_norm_stderr": 0.0359546161177469 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.7851239669421488, |
|
|
"acc_stderr": 0.037494924487096966, |
|
|
"acc_norm": 0.7851239669421488, |
|
|
"acc_norm_stderr": 0.037494924487096966 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7777777777777778, |
|
|
"acc_stderr": 0.0401910747255735, |
|
|
"acc_norm": 0.7777777777777778, |
|
|
"acc_norm_stderr": 0.0401910747255735 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7423312883435583, |
|
|
"acc_stderr": 0.03436150827846917, |
|
|
"acc_norm": 0.7423312883435583, |
|
|
"acc_norm_stderr": 0.03436150827846917 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.04697113923010212, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.04697113923010212 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7475728155339806, |
|
|
"acc_stderr": 0.04301250399690878, |
|
|
"acc_norm": 0.7475728155339806, |
|
|
"acc_norm_stderr": 0.04301250399690878 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8846153846153846, |
|
|
"acc_stderr": 0.02093019318517933, |
|
|
"acc_norm": 0.8846153846153846, |
|
|
"acc_norm_stderr": 0.02093019318517933 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.7, |
|
|
"acc_stderr": 0.046056618647183814, |
|
|
"acc_norm": 0.7, |
|
|
"acc_norm_stderr": 0.046056618647183814 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.80970625798212, |
|
|
"acc_stderr": 0.014036945850381396, |
|
|
"acc_norm": 0.80970625798212, |
|
|
"acc_norm_stderr": 0.014036945850381396 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7369942196531792, |
|
|
"acc_stderr": 0.023703099525258172, |
|
|
"acc_norm": 0.7369942196531792, |
|
|
"acc_norm_stderr": 0.023703099525258172 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.47150837988826816, |
|
|
"acc_stderr": 0.016695329746015796, |
|
|
"acc_norm": 0.47150837988826816, |
|
|
"acc_norm_stderr": 0.016695329746015796 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.7189542483660131, |
|
|
"acc_stderr": 0.025738854797818733, |
|
|
"acc_norm": 0.7189542483660131, |
|
|
"acc_norm_stderr": 0.025738854797818733 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7170418006430869, |
|
|
"acc_stderr": 0.025583062489984813, |
|
|
"acc_norm": 0.7170418006430869, |
|
|
"acc_norm_stderr": 0.025583062489984813 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7407407407407407, |
|
|
"acc_stderr": 0.024383665531035457, |
|
|
"acc_norm": 0.7407407407407407, |
|
|
"acc_norm_stderr": 0.024383665531035457 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.475177304964539, |
|
|
"acc_stderr": 0.029790719243829727, |
|
|
"acc_norm": 0.475177304964539, |
|
|
"acc_norm_stderr": 0.029790719243829727 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.470013037809648, |
|
|
"acc_stderr": 0.01274724896707906, |
|
|
"acc_norm": 0.470013037809648, |
|
|
"acc_norm_stderr": 0.01274724896707906 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6691176470588235, |
|
|
"acc_stderr": 0.028582709753898445, |
|
|
"acc_norm": 0.6691176470588235, |
|
|
"acc_norm_stderr": 0.028582709753898445 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6584967320261438, |
|
|
"acc_stderr": 0.019184639328092487, |
|
|
"acc_norm": 0.6584967320261438, |
|
|
"acc_norm_stderr": 0.019184639328092487 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6818181818181818, |
|
|
"acc_stderr": 0.044612721759105085, |
|
|
"acc_norm": 0.6818181818181818, |
|
|
"acc_norm_stderr": 0.044612721759105085 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7306122448979592, |
|
|
"acc_stderr": 0.02840125202902294, |
|
|
"acc_norm": 0.7306122448979592, |
|
|
"acc_norm_stderr": 0.02840125202902294 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.835820895522388, |
|
|
"acc_stderr": 0.026193923544454125, |
|
|
"acc_norm": 0.835820895522388, |
|
|
"acc_norm_stderr": 0.026193923544454125 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.85, |
|
|
"acc_stderr": 0.03588702812826371, |
|
|
"acc_norm": 0.85, |
|
|
"acc_norm_stderr": 0.03588702812826371 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5542168674698795, |
|
|
"acc_stderr": 0.03869543323472101, |
|
|
"acc_norm": 0.5542168674698795, |
|
|
"acc_norm_stderr": 0.03869543323472101 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8245614035087719, |
|
|
"acc_stderr": 0.029170885500727665, |
|
|
"acc_norm": 0.8245614035087719, |
|
|
"acc_norm_stderr": 0.029170885500727665 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.5862913096695227, |
|
|
"mc1_stderr": 0.0172408618120998, |
|
|
"mc2": 0.7078078883926877, |
|
|
"mc2_stderr": 0.015097515102384168 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8579321231254933, |
|
|
"acc_stderr": 0.009812000391679367 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.6648976497346475, |
|
|
"acc_stderr": 0.013001948176422954 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
