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--- |
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pretty_name: Evaluation run of mlabonne/NeuralDaredevil-7B |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-7B)\ |
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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_mlabonne__NeuralDaredevil-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 2024-01-16T01:21:38.357937](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__NeuralDaredevil-7B/blob/main/results_2024-01-16T01-21-38.357937.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\": 0.6564539739507499,\n\ |
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|
\ \"acc_stderr\": 0.032046532668970576,\n \"acc_norm\": 0.6558352422789521,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03271651117623881,\n \"mc1\": 0.5152998776009792,\n\ |
|
|
\ \"mc1_stderr\": 0.0174953044731879,\n \"mc2\": 0.6685490621837052,\n\ |
|
|
\ \"mc2_stderr\": 0.014954458772938018\n },\n \"harness|arc:challenge|25\"\ |
|
|
: {\n \"acc\": 0.6749146757679181,\n \"acc_stderr\": 0.013688147309729124,\n\ |
|
|
\ \"acc_norm\": 0.6988054607508533,\n \"acc_norm_stderr\": 0.013406741767847638\n\ |
|
|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6970722963553077,\n\ |
|
|
\ \"acc_stderr\": 0.004585850835623566,\n \"acc_norm\": 0.8762198765186218,\n\ |
|
|
\ \"acc_norm_stderr\": 0.003286574812451194\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
|
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ |
|
|
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\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\": 0.63,\n\ |
|
|
\ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7433962264150943,\n \"acc_stderr\": 0.026880647889051975,\n\ |
|
|
\ \"acc_norm\": 0.7433962264150943,\n \"acc_norm_stderr\": 0.026880647889051975\n\ |
|
|
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\ |
|
|
\ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \ |
|
|
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ |
|
|
: 0.54,\n \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n\ |
|
|
\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ |
|
|
\ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6763005780346821,\n\ |
|
|
\ \"acc_stderr\": 0.035676037996391706,\n \"acc_norm\": 0.6763005780346821,\n\ |
|
|
\ \"acc_norm_stderr\": 0.035676037996391706\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.4411764705882353,\n \"acc_stderr\": 0.049406356306056595,\n\ |
|
|
\ \"acc_norm\": 0.4411764705882353,\n \"acc_norm_stderr\": 0.049406356306056595\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.77,\n \"acc_stderr\": 0.04229525846816508,\n \"acc_norm\": 0.77,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04229525846816508\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.5787234042553191,\n \"acc_stderr\": 0.03227834510146267,\n\ |
|
|
\ \"acc_norm\": 0.5787234042553191,\n \"acc_norm_stderr\": 0.03227834510146267\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4824561403508772,\n\ |
|
|
\ \"acc_stderr\": 0.04700708033551038,\n \"acc_norm\": 0.4824561403508772,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04700708033551038\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5793103448275863,\n \"acc_stderr\": 0.0411391498118926,\n\ |
|
|
\ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.0411391498118926\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.42857142857142855,\n \"acc_stderr\": 0.02548718714785938,\n \"\ |
|
|
acc_norm\": 0.42857142857142855,\n \"acc_norm_stderr\": 0.02548718714785938\n\ |
|
|
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.46825396825396826,\n\ |
|
|
\ \"acc_stderr\": 0.04463112720677172,\n \"acc_norm\": 0.46825396825396826,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04463112720677172\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411018,\n \ |
|
|
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411018\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7709677419354839,\n\ |
|
|
\ \"acc_stderr\": 0.023904914311782655,\n \"acc_norm\": 0.7709677419354839,\n\ |
|
|
\ \"acc_norm_stderr\": 0.023904914311782655\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.03517603540361008,\n\ |
|
|
\ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.03517603540361008\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ |
|
|
: 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ |
|
|
\ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267042,\n \"\ |
|
|
acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267042\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ |
|
|
\ \"acc\": 0.8860103626943006,\n \"acc_stderr\": 0.022935144053919436,\n\ |
|
|
\ \"acc_norm\": 0.8860103626943006,\n \"acc_norm_stderr\": 0.022935144053919436\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6717948717948717,\n \"acc_stderr\": 0.023807633198657262,\n\ |
|
|
\ \"acc_norm\": 0.6717948717948717,\n \"acc_norm_stderr\": 0.023807633198657262\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616255,\n \ |
|
|
\ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616255\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6638655462184874,\n \"acc_stderr\": 0.03068473711513536,\n \ |
|
|
\ \"acc_norm\": 0.6638655462184874,\n \"acc_norm_stderr\": 0.03068473711513536\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ |
|
|
acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8550458715596331,\n \"acc_stderr\": 0.015094215699700486,\n \"\ |
|
|
acc_norm\": 0.8550458715596331,\n \"acc_norm_stderr\": 0.015094215699700486\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.5462962962962963,\n \"acc_stderr\": 0.033953227263757976,\n \"\ |
|
|
acc_norm\": 0.5462962962962963,\n \"acc_norm_stderr\": 0.033953227263757976\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.8529411764705882,\n \"acc_stderr\": 0.024857478080250454,\n \"\ |
|
|
acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.024857478080250454\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621115,\n \ |
|
|
\ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621115\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ |
|
|
\ \"acc_stderr\": 0.031024411740572213,\n \"acc_norm\": 0.6905829596412556,\n\ |
|
|
\ \"acc_norm_stderr\": 0.031024411740572213\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.036412970813137296,\n\ |
|
|
\ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.036412970813137296\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\": 0.7870370370370371,\n\ |
|
|
\ \"acc_stderr\": 0.03957835471980979,\n \"acc_norm\": 0.7870370370370371,\n\ |
|
|
\ \"acc_norm_stderr\": 0.03957835471980979\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\": 0.4375,\n\ |
|
|
\ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ |
|
|
\ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7669902912621359,\n \"acc_stderr\": 0.04185832598928315,\n\ |
|
|
\ \"acc_norm\": 0.7669902912621359,\n \"acc_norm_stderr\": 0.04185832598928315\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ |
|
|
\ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ |
|
|
\ \"acc_norm_stderr\": 0.021262719400406964\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\": 0.8301404853128991,\n\ |
|
|
\ \"acc_stderr\": 0.013428186370608303,\n \"acc_norm\": 0.8301404853128991,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013428186370608303\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7398843930635838,\n \"acc_stderr\": 0.023618678310069367,\n\ |
|
|
\ \"acc_norm\": 0.7398843930635838,\n \"acc_norm_stderr\": 0.023618678310069367\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42905027932960893,\n\ |
|
|
\ \"acc_stderr\": 0.016553287863116033,\n \"acc_norm\": 0.42905027932960893,\n\ |
|
|
\ \"acc_norm_stderr\": 0.016553287863116033\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\": 0.7202572347266881,\n\ |
|
|
\ \"acc_stderr\": 0.025494259350694912,\n \"acc_norm\": 0.7202572347266881,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025494259350694912\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600712992,\n\ |
|
|
\ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600712992\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.5070921985815603,\n \"acc_stderr\": 0.02982449855912901,\n \ |
|
|
\ \"acc_norm\": 0.5070921985815603,\n \"acc_norm_stderr\": 0.02982449855912901\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46284224250325945,\n\ |
|
|
\ \"acc_stderr\": 0.012734923579532069,\n \"acc_norm\": 0.46284224250325945,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012734923579532069\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335303,\n\ |
|
|
\ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335303\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6748366013071896,\n \"acc_stderr\": 0.01895088677080631,\n \ |
|
|
\ \"acc_norm\": 0.6748366013071896,\n \"acc_norm_stderr\": 0.01895088677080631\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ |
|
|
\ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ |
|
|
\ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.746938775510204,\n \"acc_stderr\": 0.027833023871399677,\n\ |
|
|
\ \"acc_norm\": 0.746938775510204,\n \"acc_norm_stderr\": 0.027833023871399677\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8258706467661692,\n\ |
|
|
\ \"acc_stderr\": 0.026814951200421603,\n \"acc_norm\": 0.8258706467661692,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026814951200421603\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.86,\n \"acc_stderr\": 0.0348735088019777,\n \ |
|
|
\ \"acc_norm\": 0.86,\n \"acc_norm_stderr\": 0.0348735088019777\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\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061456,\n\ |
|
|
\ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061456\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5152998776009792,\n\ |
|
|
\ \"mc1_stderr\": 0.0174953044731879,\n \"mc2\": 0.6685490621837052,\n\ |
|
|
\ \"mc2_stderr\": 0.014954458772938018\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8208366219415943,\n \"acc_stderr\": 0.010777949156047986\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.731614859742229,\n \ |
|
|
\ \"acc_stderr\": 0.012205702688013673\n }\n}\n```" |
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repo_url: https://huggingface.co/mlabonne/NeuralDaredevil-7B |
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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: |
|
|
- config_name: harness_arc_challenge_25 |
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data_files: |
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- split: 2024_01_16T01_21_38.357937 |
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path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-16T01-21-38.357937.parquet' |
|
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- split: latest |
|
|
path: |
|
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- '**/details_harness|arc:challenge|25_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_gsm8k_5 |
|
|
data_files: |
|
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- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
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- '**/details_harness|gsm8k|5_2024-01-16T01-21-38.357937.parquet' |
|
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- split: latest |
|
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path: |
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- '**/details_harness|gsm8k|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hellaswag_10 |
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- '**/details_harness|hellaswag|10_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hellaswag|10_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_5 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T01-21-38.357937.parquet' |
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- split: latest |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
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- split: 2024_01_16T01_21_38.357937 |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-01-16T01-21-38.357937.parquet' |
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- config_name: harness_hendrycksTest_college_physics_5 |
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- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-01-16T01-21-38.357937.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_01_16T01_21_38.357937 |
|
|
path: |
|
|
- results_2024-01-16T01-21-38.357937.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-01-16T01-21-38.357937.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of mlabonne/NeuralDaredevil-7B |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [mlabonne/NeuralDaredevil-7B](https://huggingface.co/mlabonne/NeuralDaredevil-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_mlabonne__NeuralDaredevil-7B", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-01-16T01:21:38.357937](https://huggingface.co/datasets/open-llm-leaderboard/details_mlabonne__NeuralDaredevil-7B/blob/main/results_2024-01-16T01-21-38.357937.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": 0.6564539739507499, |
|
|
"acc_stderr": 0.032046532668970576, |
|
|
"acc_norm": 0.6558352422789521, |
|
|
"acc_norm_stderr": 0.03271651117623881, |
|
|
"mc1": 0.5152998776009792, |
|
|
"mc1_stderr": 0.0174953044731879, |
|
|
"mc2": 0.6685490621837052, |
|
|
"mc2_stderr": 0.014954458772938018 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.6749146757679181, |
|
|
"acc_stderr": 0.013688147309729124, |
|
|
"acc_norm": 0.6988054607508533, |
|
|
"acc_norm_stderr": 0.013406741767847638 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.6970722963553077, |
|
|
"acc_stderr": 0.004585850835623566, |
|
|
"acc_norm": 0.8762198765186218, |
|
|
"acc_norm_stderr": 0.003286574812451194 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.0479372485441102, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.0479372485441102 |
|
|
}, |
|
|
"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": 0.63, |
|
|
"acc_stderr": 0.04852365870939099, |
|
|
"acc_norm": 0.63, |
|
|
"acc_norm_stderr": 0.04852365870939099 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7433962264150943, |
|
|
"acc_stderr": 0.026880647889051975, |
|
|
"acc_norm": 0.7433962264150943, |
|
|
"acc_norm_stderr": 0.026880647889051975 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7847222222222222, |
|
|
"acc_stderr": 0.03437079344106135, |
|
|
"acc_norm": 0.7847222222222222, |
|
|
"acc_norm_stderr": 0.03437079344106135 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.49, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.49, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.54, |
|
|
"acc_stderr": 0.05009082659620333, |
|
|
"acc_norm": 0.54, |
|
|
"acc_norm_stderr": 0.05009082659620333 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.32, |
|
|
"acc_stderr": 0.04688261722621504, |
|
|
"acc_norm": 0.32, |
|
|
"acc_norm_stderr": 0.04688261722621504 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.6763005780346821, |
|
|
"acc_stderr": 0.035676037996391706, |
|
|
"acc_norm": 0.6763005780346821, |
|
|
"acc_norm_stderr": 0.035676037996391706 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.4411764705882353, |
|
|
"acc_stderr": 0.049406356306056595, |
|
|
"acc_norm": 0.4411764705882353, |
|
|
"acc_norm_stderr": 0.049406356306056595 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.77, |
|
|
"acc_stderr": 0.04229525846816508, |
|
|
"acc_norm": 0.77, |
|
|
"acc_norm_stderr": 0.04229525846816508 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5787234042553191, |
|
|
"acc_stderr": 0.03227834510146267, |
|
|
"acc_norm": 0.5787234042553191, |
|
|
"acc_norm_stderr": 0.03227834510146267 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.4824561403508772, |
|
|
"acc_stderr": 0.04700708033551038, |
|
|
"acc_norm": 0.4824561403508772, |
|
|
"acc_norm_stderr": 0.04700708033551038 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5793103448275863, |
|
|
"acc_stderr": 0.0411391498118926, |
|
|
"acc_norm": 0.5793103448275863, |
|
|
"acc_norm_stderr": 0.0411391498118926 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.02548718714785938, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.02548718714785938 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.46825396825396826, |
|
|
"acc_stderr": 0.04463112720677172, |
|
|
"acc_norm": 0.46825396825396826, |
|
|
"acc_norm_stderr": 0.04463112720677172 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.04793724854411018, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.04793724854411018 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7709677419354839, |
|
|
"acc_stderr": 0.023904914311782655, |
|
|
"acc_norm": 0.7709677419354839, |
|
|
"acc_norm_stderr": 0.023904914311782655 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.49261083743842365, |
|
|
"acc_stderr": 0.03517603540361008, |
|
|
"acc_norm": 0.49261083743842365, |
|
|
"acc_norm_stderr": 0.03517603540361008 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.71, |
|
|
"acc_stderr": 0.045604802157206845, |
|
|
"acc_norm": 0.71, |
|
|
"acc_norm_stderr": 0.045604802157206845 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7696969696969697, |
|
|
"acc_stderr": 0.0328766675860349, |
|
|
"acc_norm": 0.7696969696969697, |
|
|
"acc_norm_stderr": 0.0328766675860349 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.7929292929292929, |
|
|
"acc_stderr": 0.028869778460267042, |
|
|
"acc_norm": 0.7929292929292929, |
|
|
"acc_norm_stderr": 0.028869778460267042 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.8860103626943006, |
|
|
"acc_stderr": 0.022935144053919436, |
|
|
"acc_norm": 0.8860103626943006, |
|
|
"acc_norm_stderr": 0.022935144053919436 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6717948717948717, |
|
|
"acc_stderr": 0.023807633198657262, |
|
|
"acc_norm": 0.6717948717948717, |
|
|
"acc_norm_stderr": 0.023807633198657262 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.34814814814814815, |
|
|
"acc_stderr": 0.029045600290616255, |
|
|
"acc_norm": 0.34814814814814815, |
|
|
"acc_norm_stderr": 0.029045600290616255 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6638655462184874, |
|
|
"acc_stderr": 0.03068473711513536, |
|
|
"acc_norm": 0.6638655462184874, |
|
|
"acc_norm_stderr": 0.03068473711513536 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.3443708609271523, |
|
|
"acc_stderr": 0.038796870240733264, |
|
|
"acc_norm": 0.3443708609271523, |
|
|
"acc_norm_stderr": 0.038796870240733264 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8550458715596331, |
|
|
"acc_stderr": 0.015094215699700486, |
|
|
"acc_norm": 0.8550458715596331, |
|
|
"acc_norm_stderr": 0.015094215699700486 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.5462962962962963, |
|
|
"acc_stderr": 0.033953227263757976, |
|
|
"acc_norm": 0.5462962962962963, |
|
|
"acc_norm_stderr": 0.033953227263757976 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.8529411764705882, |
|
|
"acc_stderr": 0.024857478080250454, |
|
|
"acc_norm": 0.8529411764705882, |
|
|
"acc_norm_stderr": 0.024857478080250454 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.8016877637130801, |
|
|
"acc_stderr": 0.025955020841621115, |
|
|
"acc_norm": 0.8016877637130801, |
|
|
"acc_norm_stderr": 0.025955020841621115 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.6905829596412556, |
|
|
"acc_stderr": 0.031024411740572213, |
|
|
"acc_norm": 0.6905829596412556, |
|
|
"acc_norm_stderr": 0.031024411740572213 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.7786259541984732, |
|
|
"acc_stderr": 0.036412970813137296, |
|
|
"acc_norm": 0.7786259541984732, |
|
|
"acc_norm_stderr": 0.036412970813137296 |
|
|
}, |
|
|
"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": 0.7870370370370371, |
|
|
"acc_stderr": 0.03957835471980979, |
|
|
"acc_norm": 0.7870370370370371, |
|
|
"acc_norm_stderr": 0.03957835471980979 |
|
|
}, |
|
|
"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": 0.4375, |
|
|
"acc_stderr": 0.04708567521880525, |
|
|
"acc_norm": 0.4375, |
|
|
"acc_norm_stderr": 0.04708567521880525 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7669902912621359, |
|
|
"acc_stderr": 0.04185832598928315, |
|
|
"acc_norm": 0.7669902912621359, |
|
|
"acc_norm_stderr": 0.04185832598928315 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8803418803418803, |
|
|
"acc_stderr": 0.021262719400406964, |
|
|
"acc_norm": 0.8803418803418803, |
|
|
"acc_norm_stderr": 0.021262719400406964 |
|
|
}, |
|
|
"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": 0.8301404853128991, |
|
|
"acc_stderr": 0.013428186370608303, |
|
|
"acc_norm": 0.8301404853128991, |
|
|
"acc_norm_stderr": 0.013428186370608303 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7398843930635838, |
|
|
"acc_stderr": 0.023618678310069367, |
|
|
"acc_norm": 0.7398843930635838, |
|
|
"acc_norm_stderr": 0.023618678310069367 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.42905027932960893, |
|
|
"acc_stderr": 0.016553287863116033, |
|
|
"acc_norm": 0.42905027932960893, |
|
|
"acc_norm_stderr": 0.016553287863116033 |
|
|
}, |
|
|
"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": 0.7202572347266881, |
|
|
"acc_stderr": 0.025494259350694912, |
|
|
"acc_norm": 0.7202572347266881, |
|
|
"acc_norm_stderr": 0.025494259350694912 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.7469135802469136, |
|
|
"acc_stderr": 0.024191808600712992, |
|
|
"acc_norm": 0.7469135802469136, |
|
|
"acc_norm_stderr": 0.024191808600712992 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.5070921985815603, |
|
|
"acc_stderr": 0.02982449855912901, |
|
|
"acc_norm": 0.5070921985815603, |
|
|
"acc_norm_stderr": 0.02982449855912901 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.46284224250325945, |
|
|
"acc_stderr": 0.012734923579532069, |
|
|
"acc_norm": 0.46284224250325945, |
|
|
"acc_norm_stderr": 0.012734923579532069 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6654411764705882, |
|
|
"acc_stderr": 0.028661996202335303, |
|
|
"acc_norm": 0.6654411764705882, |
|
|
"acc_norm_stderr": 0.028661996202335303 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6748366013071896, |
|
|
"acc_stderr": 0.01895088677080631, |
|
|
"acc_norm": 0.6748366013071896, |
|
|
"acc_norm_stderr": 0.01895088677080631 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6909090909090909, |
|
|
"acc_stderr": 0.044262946482000985, |
|
|
"acc_norm": 0.6909090909090909, |
|
|
"acc_norm_stderr": 0.044262946482000985 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.746938775510204, |
|
|
"acc_stderr": 0.027833023871399677, |
|
|
"acc_norm": 0.746938775510204, |
|
|
"acc_norm_stderr": 0.027833023871399677 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8258706467661692, |
|
|
"acc_stderr": 0.026814951200421603, |
|
|
"acc_norm": 0.8258706467661692, |
|
|
"acc_norm_stderr": 0.026814951200421603 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.86, |
|
|
"acc_stderr": 0.0348735088019777, |
|
|
"acc_norm": 0.86, |
|
|
"acc_norm_stderr": 0.0348735088019777 |
|
|
}, |
|
|
"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": 0.847953216374269, |
|
|
"acc_stderr": 0.027539122889061456, |
|
|
"acc_norm": 0.847953216374269, |
|
|
"acc_norm_stderr": 0.027539122889061456 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.5152998776009792, |
|
|
"mc1_stderr": 0.0174953044731879, |
|
|
"mc2": 0.6685490621837052, |
|
|
"mc2_stderr": 0.014954458772938018 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8208366219415943, |
|
|
"acc_stderr": 0.010777949156047986 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.731614859742229, |
|
|
"acc_stderr": 0.012205702688013673 |
|
|
} |
|
|
} |
|
|
``` |
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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] |
