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--- |
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pretty_name: Evaluation run of rmdhirr/Multiparadigm_7B |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [rmdhirr/Multiparadigm_7B](https://huggingface.co/rmdhirr/Multiparadigm_7B) 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_rmdhirr__Multiparadigm_7B\"\ |
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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 2024-04-08T15:57:42.721486](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Multiparadigm_7B/blob/main/results_2024-04-08T15-57-42.721486.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\": 0.6492384600270824,\n\ |
|
|
\ \"acc_stderr\": 0.03213997069175205,\n \"acc_norm\": 0.6484518600050352,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03281127077758523,\n \"mc1\": 0.6119951040391677,\n\ |
|
|
\ \"mc1_stderr\": 0.017058761501347976,\n \"mc2\": 0.7686565410264001,\n\ |
|
|
\ \"mc2_stderr\": 0.01397549174325772\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.712457337883959,\n \"acc_stderr\": 0.013226719056266127,\n\ |
|
|
\ \"acc_norm\": 0.7320819112627986,\n \"acc_norm_stderr\": 0.012942030195136445\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7220673172674766,\n\ |
|
|
\ \"acc_stderr\": 0.004470644845242893,\n \"acc_norm\": 0.8894642501493726,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003129155503881716\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ |
|
|
\ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ |
|
|
\ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.7105263157894737,\n \"acc_stderr\": 0.03690677986137283,\n\ |
|
|
\ \"acc_norm\": 0.7105263157894737,\n \"acc_norm_stderr\": 0.03690677986137283\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ |
|
|
\ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7132075471698113,\n \"acc_stderr\": 0.02783491252754406,\n\ |
|
|
\ \"acc_norm\": 0.7132075471698113,\n \"acc_norm_stderr\": 0.02783491252754406\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ |
|
|
\ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03551446610810826\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ |
|
|
\ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\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\": 0.28,\n \"acc_stderr\": 0.04512608598542127,\n \ |
|
|
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542127\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6416184971098265,\n\ |
|
|
\ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.6416184971098265,\n\ |
|
|
\ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.04858083574266345,\n\ |
|
|
\ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.04858083574266345\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\ |
|
|
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.5574468085106383,\n \"acc_stderr\": 0.03246956919789958,\n\ |
|
|
\ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.03246956919789958\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ |
|
|
\ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ |
|
|
\ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5448275862068965,\n \"acc_stderr\": 0.04149886942192117,\n\ |
|
|
\ \"acc_norm\": 0.5448275862068965,\n \"acc_norm_stderr\": 0.04149886942192117\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778398,\n \"\ |
|
|
acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778398\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ |
|
|
\ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.7838709677419354,\n\ |
|
|
\ \"acc_stderr\": 0.02341529343356853,\n \"acc_norm\": 0.7838709677419354,\n\ |
|
|
\ \"acc_norm_stderr\": 0.02341529343356853\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.5073891625615764,\n \"acc_stderr\": 0.035176035403610105,\n\ |
|
|
\ \"acc_norm\": 0.5073891625615764,\n \"acc_norm_stderr\": 0.035176035403610105\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\": 0.7696969696969697,\n \"acc_stderr\": 0.032876667586034906,\n\ |
|
|
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.032876667586034906\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.8131313131313131,\n \"acc_stderr\": 0.027772533334218967,\n \"\ |
|
|
acc_norm\": 0.8131313131313131,\n \"acc_norm_stderr\": 0.027772533334218967\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.02150024957603346,\n\ |
|
|
\ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.02150024957603346\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.024078696580635477,\n\ |
|
|
\ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.024078696580635477\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.3148148148148148,\n \"acc_stderr\": 0.02831753349606649,\n \ |
|
|
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.02831753349606649\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886797,\n\ |
|
|
\ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886797\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ |
|
|
acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8366972477064221,\n \"acc_stderr\": 0.01584825580650155,\n \"\ |
|
|
acc_norm\": 0.8366972477064221,\n \"acc_norm_stderr\": 0.01584825580650155\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5,\n \"acc_stderr\": 0.034099716973523674,\n \"acc_norm\": 0.5,\n\ |
|
|
\ \"acc_norm_stderr\": 0.034099716973523674\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ |
|
|
: {\n \"acc\": 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n\ |
|
|
\ \"acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.810126582278481,\n \"acc_stderr\": 0.02553010046023349,\n \ |
|
|
\ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.02553010046023349\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ |
|
|
\ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.034981493854624714,\n\ |
|
|
\ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.034981493854624714\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.768595041322314,\n \"acc_stderr\": 0.03849856098794088,\n \"acc_norm\"\ |
|
|
: 0.768595041322314,\n \"acc_norm_stderr\": 0.03849856098794088\n },\n\ |
|
|
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ |
|
|
\ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ |
|
|
\ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\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\": 0.7572815533980582,\n \"acc_stderr\": 0.04245022486384495,\n\ |
|
|
\ \"acc_norm\": 0.7572815533980582,\n \"acc_norm_stderr\": 0.04245022486384495\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ |
|
|
\ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ |
|
|
\ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \ |
|
|
\ \"acc_norm\": 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\ |
|
|
\ \"acc_stderr\": 0.013816335389973127,\n \"acc_norm\": 0.8173690932311622,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013816335389973127\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7225433526011561,\n \"acc_stderr\": 0.024105712607754307,\n\ |
|
|
\ \"acc_norm\": 0.7225433526011561,\n \"acc_norm_stderr\": 0.024105712607754307\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4335195530726257,\n\ |
|
|
\ \"acc_stderr\": 0.01657402721951763,\n \"acc_norm\": 0.4335195530726257,\n\ |
|
|
\ \"acc_norm_stderr\": 0.01657402721951763\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.7287581699346405,\n \"acc_stderr\": 0.02545775669666788,\n\ |
|
|
\ \"acc_norm\": 0.7287581699346405,\n \"acc_norm_stderr\": 0.02545775669666788\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ |
|
|
\ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7253086419753086,\n \"acc_stderr\": 0.024836057868294677,\n\ |
|
|
\ \"acc_norm\": 0.7253086419753086,\n \"acc_norm_stderr\": 0.024836057868294677\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.5035460992907801,\n \"acc_stderr\": 0.02982674915328092,\n \ |
|
|
\ \"acc_norm\": 0.5035460992907801,\n \"acc_norm_stderr\": 0.02982674915328092\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.47196870925684486,\n\ |
|
|
\ \"acc_stderr\": 0.012750151802922436,\n \"acc_norm\": 0.47196870925684486,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012750151802922436\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6801470588235294,\n \"acc_stderr\": 0.028332959514031208,\n\ |
|
|
\ \"acc_norm\": 0.6801470588235294,\n \"acc_norm_stderr\": 0.028332959514031208\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6748366013071896,\n \"acc_stderr\": 0.018950886770806315,\n \ |
|
|
\ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.018950886770806315\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ |
|
|
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128448,\n\ |
|
|
\ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128448\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8208955223880597,\n\ |
|
|
\ \"acc_stderr\": 0.027113286753111837,\n \"acc_norm\": 0.8208955223880597,\n\ |
|
|
\ \"acc_norm_stderr\": 0.027113286753111837\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ |
|
|
\ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ |
|
|
\ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\ |
|
|
\ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.6119951040391677,\n\ |
|
|
\ \"mc1_stderr\": 0.017058761501347976,\n \"mc2\": 0.7686565410264001,\n\ |
|
|
\ \"mc2_stderr\": 0.01397549174325772\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8382004735595896,\n \"acc_stderr\": 0.010350128010292404\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6937073540561031,\n \ |
|
|
\ \"acc_stderr\": 0.012696930106562915\n }\n}\n```" |
|
|
repo_url: https://huggingface.co/rmdhirr/Multiparadigm_7B |
|
|
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
|
|
point_of_contact: [email protected] |
|
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configs: |
|
|
- config_name: harness_arc_challenge_25 |
|
|
data_files: |
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|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|arc:challenge|25_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-04-08T15-57-42.721486.parquet' |
|
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|gsm8k|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hellaswag|10_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hellaswag|10_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
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|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-econometrics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-global_facts|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-08T15-57-42.721486.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-08T15-57-42.721486.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-08T15-57-42.721486.parquet' |
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|
- config_name: harness_hendrycksTest_college_medicine_5 |
|
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data_files: |
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- split: 2024_04_08T15_57_42.721486 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-04-08T15-57-42.721486.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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data_files: |
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- config_name: harness_hendrycksTest_elementary_mathematics_5 |
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|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-04-08T15-57-42.721486.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_04_08T15_57_42.721486 |
|
|
path: |
|
|
- results_2024-04-08T15-57-42.721486.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-04-08T15-57-42.721486.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of rmdhirr/Multiparadigm_7B |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [rmdhirr/Multiparadigm_7B](https://huggingface.co/rmdhirr/Multiparadigm_7B) 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_rmdhirr__Multiparadigm_7B", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-04-08T15:57:42.721486](https://huggingface.co/datasets/open-llm-leaderboard/details_rmdhirr__Multiparadigm_7B/blob/main/results_2024-04-08T15-57-42.721486.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": 0.6492384600270824, |
|
|
"acc_stderr": 0.03213997069175205, |
|
|
"acc_norm": 0.6484518600050352, |
|
|
"acc_norm_stderr": 0.03281127077758523, |
|
|
"mc1": 0.6119951040391677, |
|
|
"mc1_stderr": 0.017058761501347976, |
|
|
"mc2": 0.7686565410264001, |
|
|
"mc2_stderr": 0.01397549174325772 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.712457337883959, |
|
|
"acc_stderr": 0.013226719056266127, |
|
|
"acc_norm": 0.7320819112627986, |
|
|
"acc_norm_stderr": 0.012942030195136445 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.7220673172674766, |
|
|
"acc_stderr": 0.004470644845242893, |
|
|
"acc_norm": 0.8894642501493726, |
|
|
"acc_norm_stderr": 0.003129155503881716 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.33, |
|
|
"acc_stderr": 0.04725815626252604, |
|
|
"acc_norm": 0.33, |
|
|
"acc_norm_stderr": 0.04725815626252604 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.6148148148148148, |
|
|
"acc_stderr": 0.04203921040156279, |
|
|
"acc_norm": 0.6148148148148148, |
|
|
"acc_norm_stderr": 0.04203921040156279 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.7105263157894737, |
|
|
"acc_stderr": 0.03690677986137283, |
|
|
"acc_norm": 0.7105263157894737, |
|
|
"acc_norm_stderr": 0.03690677986137283 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.64, |
|
|
"acc_stderr": 0.04824181513244218, |
|
|
"acc_norm": 0.64, |
|
|
"acc_norm_stderr": 0.04824181513244218 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7132075471698113, |
|
|
"acc_stderr": 0.02783491252754406, |
|
|
"acc_norm": 0.7132075471698113, |
|
|
"acc_norm_stderr": 0.02783491252754406 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7638888888888888, |
|
|
"acc_stderr": 0.03551446610810826, |
|
|
"acc_norm": 0.7638888888888888, |
|
|
"acc_norm_stderr": 0.03551446610810826 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.48, |
|
|
"acc_stderr": 0.050211673156867795, |
|
|
"acc_norm": 0.48, |
|
|
"acc_norm_stderr": 0.050211673156867795 |
|
|
}, |
|
|
"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": 0.28, |
|
|
"acc_stderr": 0.04512608598542127, |
|
|
"acc_norm": 0.28, |
|
|
"acc_norm_stderr": 0.04512608598542127 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.6416184971098265, |
|
|
"acc_stderr": 0.036563436533531585, |
|
|
"acc_norm": 0.6416184971098265, |
|
|
"acc_norm_stderr": 0.036563436533531585 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.39215686274509803, |
|
|
"acc_stderr": 0.04858083574266345, |
|
|
"acc_norm": 0.39215686274509803, |
|
|
"acc_norm_stderr": 0.04858083574266345 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.76, |
|
|
"acc_stderr": 0.042923469599092816, |
|
|
"acc_norm": 0.76, |
|
|
"acc_norm_stderr": 0.042923469599092816 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5574468085106383, |
|
|
"acc_stderr": 0.03246956919789958, |
|
|
"acc_norm": 0.5574468085106383, |
|
|
"acc_norm_stderr": 0.03246956919789958 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.5, |
|
|
"acc_stderr": 0.047036043419179864, |
|
|
"acc_norm": 0.5, |
|
|
"acc_norm_stderr": 0.047036043419179864 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5448275862068965, |
|
|
"acc_stderr": 0.04149886942192117, |
|
|
"acc_norm": 0.5448275862068965, |
|
|
"acc_norm_stderr": 0.04149886942192117 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.41534391534391535, |
|
|
"acc_stderr": 0.025379524910778398, |
|
|
"acc_norm": 0.41534391534391535, |
|
|
"acc_norm_stderr": 0.025379524910778398 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.47619047619047616, |
|
|
"acc_stderr": 0.04467062628403273, |
|
|
"acc_norm": 0.47619047619047616, |
|
|
"acc_norm_stderr": 0.04467062628403273 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.04688261722621505, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.04688261722621505 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7838709677419354, |
|
|
"acc_stderr": 0.02341529343356853, |
|
|
"acc_norm": 0.7838709677419354, |
|
|
"acc_norm_stderr": 0.02341529343356853 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.5073891625615764, |
|
|
"acc_stderr": 0.035176035403610105, |
|
|
"acc_norm": 0.5073891625615764, |
|
|
"acc_norm_stderr": 0.035176035403610105 |
|
|
}, |
|
|
"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": 0.7696969696969697, |
|
|
"acc_stderr": 0.032876667586034906, |
|
|
"acc_norm": 0.7696969696969697, |
|
|
"acc_norm_stderr": 0.032876667586034906 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.8131313131313131, |
|
|
"acc_stderr": 0.027772533334218967, |
|
|
"acc_norm": 0.8131313131313131, |
|
|
"acc_norm_stderr": 0.027772533334218967 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.9015544041450777, |
|
|
"acc_stderr": 0.02150024957603346, |
|
|
"acc_norm": 0.9015544041450777, |
|
|
"acc_norm_stderr": 0.02150024957603346 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6564102564102564, |
|
|
"acc_stderr": 0.024078696580635477, |
|
|
"acc_norm": 0.6564102564102564, |
|
|
"acc_norm_stderr": 0.024078696580635477 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.3148148148148148, |
|
|
"acc_stderr": 0.02831753349606649, |
|
|
"acc_norm": 0.3148148148148148, |
|
|
"acc_norm_stderr": 0.02831753349606649 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6764705882352942, |
|
|
"acc_stderr": 0.030388353551886797, |
|
|
"acc_norm": 0.6764705882352942, |
|
|
"acc_norm_stderr": 0.030388353551886797 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.37748344370860926, |
|
|
"acc_stderr": 0.03958027231121569, |
|
|
"acc_norm": 0.37748344370860926, |
|
|
"acc_norm_stderr": 0.03958027231121569 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8366972477064221, |
|
|
"acc_stderr": 0.01584825580650155, |
|
|
"acc_norm": 0.8366972477064221, |
|
|
"acc_norm_stderr": 0.01584825580650155 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5, |
|
|
"acc_stderr": 0.034099716973523674, |
|
|
"acc_norm": 0.5, |
|
|
"acc_norm_stderr": 0.034099716973523674 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.8382352941176471, |
|
|
"acc_stderr": 0.02584501798692692, |
|
|
"acc_norm": 0.8382352941176471, |
|
|
"acc_norm_stderr": 0.02584501798692692 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.810126582278481, |
|
|
"acc_stderr": 0.02553010046023349, |
|
|
"acc_norm": 0.810126582278481, |
|
|
"acc_norm_stderr": 0.02553010046023349 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6905829596412556, |
|
|
"acc_stderr": 0.03102441174057221, |
|
|
"acc_norm": 0.6905829596412556, |
|
|
"acc_norm_stderr": 0.03102441174057221 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.8015267175572519, |
|
|
"acc_stderr": 0.034981493854624714, |
|
|
"acc_norm": 0.8015267175572519, |
|
|
"acc_norm_stderr": 0.034981493854624714 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.768595041322314, |
|
|
"acc_stderr": 0.03849856098794088, |
|
|
"acc_norm": 0.768595041322314, |
|
|
"acc_norm_stderr": 0.03849856098794088 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7870370370370371, |
|
|
"acc_stderr": 0.0395783547198098, |
|
|
"acc_norm": 0.7870370370370371, |
|
|
"acc_norm_stderr": 0.0395783547198098 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7668711656441718, |
|
|
"acc_stderr": 0.0332201579577674, |
|
|
"acc_norm": 0.7668711656441718, |
|
|
"acc_norm_stderr": 0.0332201579577674 |
|
|
}, |
|
|
"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": 0.7572815533980582, |
|
|
"acc_stderr": 0.04245022486384495, |
|
|
"acc_norm": 0.7572815533980582, |
|
|
"acc_norm_stderr": 0.04245022486384495 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8803418803418803, |
|
|
"acc_stderr": 0.021262719400406957, |
|
|
"acc_norm": 0.8803418803418803, |
|
|
"acc_norm_stderr": 0.021262719400406957 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.67, |
|
|
"acc_stderr": 0.047258156262526094, |
|
|
"acc_norm": 0.67, |
|
|
"acc_norm_stderr": 0.047258156262526094 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.8173690932311622, |
|
|
"acc_stderr": 0.013816335389973127, |
|
|
"acc_norm": 0.8173690932311622, |
|
|
"acc_norm_stderr": 0.013816335389973127 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7225433526011561, |
|
|
"acc_stderr": 0.024105712607754307, |
|
|
"acc_norm": 0.7225433526011561, |
|
|
"acc_norm_stderr": 0.024105712607754307 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.4335195530726257, |
|
|
"acc_stderr": 0.01657402721951763, |
|
|
"acc_norm": 0.4335195530726257, |
|
|
"acc_norm_stderr": 0.01657402721951763 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.7287581699346405, |
|
|
"acc_stderr": 0.02545775669666788, |
|
|
"acc_norm": 0.7287581699346405, |
|
|
"acc_norm_stderr": 0.02545775669666788 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7138263665594855, |
|
|
"acc_stderr": 0.025670259242188933, |
|
|
"acc_norm": 0.7138263665594855, |
|
|
"acc_norm_stderr": 0.025670259242188933 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7253086419753086, |
|
|
"acc_stderr": 0.024836057868294677, |
|
|
"acc_norm": 0.7253086419753086, |
|
|
"acc_norm_stderr": 0.024836057868294677 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.5035460992907801, |
|
|
"acc_stderr": 0.02982674915328092, |
|
|
"acc_norm": 0.5035460992907801, |
|
|
"acc_norm_stderr": 0.02982674915328092 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.47196870925684486, |
|
|
"acc_stderr": 0.012750151802922436, |
|
|
"acc_norm": 0.47196870925684486, |
|
|
"acc_norm_stderr": 0.012750151802922436 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6801470588235294, |
|
|
"acc_stderr": 0.028332959514031208, |
|
|
"acc_norm": 0.6801470588235294, |
|
|
"acc_norm_stderr": 0.028332959514031208 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6748366013071896, |
|
|
"acc_stderr": 0.018950886770806315, |
|
|
"acc_norm": 0.6748366013071896, |
|
|
"acc_norm_stderr": 0.018950886770806315 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6727272727272727, |
|
|
"acc_stderr": 0.0449429086625209, |
|
|
"acc_norm": 0.6727272727272727, |
|
|
"acc_norm_stderr": 0.0449429086625209 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.726530612244898, |
|
|
"acc_stderr": 0.028535560337128448, |
|
|
"acc_norm": 0.726530612244898, |
|
|
"acc_norm_stderr": 0.028535560337128448 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8208955223880597, |
|
|
"acc_stderr": 0.027113286753111837, |
|
|
"acc_norm": 0.8208955223880597, |
|
|
"acc_norm_stderr": 0.027113286753111837 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.84, |
|
|
"acc_stderr": 0.03684529491774709, |
|
|
"acc_norm": 0.84, |
|
|
"acc_norm_stderr": 0.03684529491774709 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5421686746987951, |
|
|
"acc_stderr": 0.0387862677100236, |
|
|
"acc_norm": 0.5421686746987951, |
|
|
"acc_norm_stderr": 0.0387862677100236 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8362573099415205, |
|
|
"acc_stderr": 0.028380919596145866, |
|
|
"acc_norm": 0.8362573099415205, |
|
|
"acc_norm_stderr": 0.028380919596145866 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.6119951040391677, |
|
|
"mc1_stderr": 0.017058761501347976, |
|
|
"mc2": 0.7686565410264001, |
|
|
"mc2_stderr": 0.01397549174325772 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8382004735595896, |
|
|
"acc_stderr": 0.010350128010292404 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.6937073540561031, |
|
|
"acc_stderr": 0.012696930106562915 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
