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•
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Parent(s):
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Upload README.md with huggingface_hub
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README.md
CHANGED
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@@ -3,8 +3,8 @@ pretty_name: Evaluation run of ehartford/dolphin-llama2-7b
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [ehartford/dolphin-llama2-7b](https://huggingface.co/ehartford/dolphin-llama2-7b)\
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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
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\ evaluated task.\n\nThe dataset has been created from
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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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@@ -12,172 +12,20 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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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_ehartford__dolphin-llama2-7b\"\
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,\n\t\"
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\
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\ },\n \"harness|
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\ \"
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\
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: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.046482319871173156,\n \
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\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.046482319871173156\n \
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\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4222222222222222,\n\
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\ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.4222222222222222,\n\
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\ \"acc_norm_stderr\": 0.04266763404099582\n },\n \"harness|hendrycksTest-astronomy|5\"\
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: {\n \"acc\": 0.47368421052631576,\n \"acc_stderr\": 0.04063302731486671,\n\
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\ \"acc_norm\": 0.47368421052631576,\n \"acc_norm_stderr\": 0.04063302731486671\n\
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\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.53,\n\
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\ \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.53,\n \
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\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
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: {\n \"acc\": 0.5547169811320755,\n \"acc_stderr\": 0.030588052974270658,\n\
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\ \"acc_norm\": 0.5547169811320755,\n \"acc_norm_stderr\": 0.030588052974270658\n\
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5,\n\
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\ \"acc_stderr\": 0.04181210050035455,\n \"acc_norm\": 0.5,\n \
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\ \"acc_norm_stderr\": 0.04181210050035455\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
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\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
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acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \"acc_norm\"\
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: 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
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: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
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\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
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\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.42196531791907516,\n\
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\ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.42196531791907516,\n\
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\ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness|hendrycksTest-college_physics|5\"\
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: {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\
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\ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\
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\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
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\ 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\
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\ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
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: {\n \"acc\": 0.4553191489361702,\n \"acc_stderr\": 0.03255525359340355,\n\
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\ \"acc_norm\": 0.4553191489361702,\n \"acc_norm_stderr\": 0.03255525359340355\n\
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\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2982456140350877,\n\
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\ \"acc_stderr\": 0.04303684033537315,\n \"acc_norm\": 0.2982456140350877,\n\
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\ \"acc_norm_stderr\": 0.04303684033537315\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
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: {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\
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\ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\
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\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
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: 0.291005291005291,\n \"acc_stderr\": 0.02339382650048487,\n \"acc_norm\"\
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: 0.291005291005291,\n \"acc_norm_stderr\": 0.02339382650048487\n },\n\
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\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\
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\ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\
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\ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\
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: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695236,\n \
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\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695236\n \
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\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.5774193548387097,\n\
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\ \"acc_stderr\": 0.02810096472427264,\n \"acc_norm\": 0.5774193548387097,\n\
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\ \"acc_norm_stderr\": 0.02810096472427264\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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: {\n \"acc\": 0.33497536945812806,\n \"acc_stderr\": 0.033208527423483104,\n\
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\ \"acc_norm\": 0.33497536945812806,\n \"acc_norm_stderr\": 0.033208527423483104\n\
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\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
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\ \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\"\
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: 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
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: {\n \"acc\": 0.6787878787878788,\n \"acc_stderr\": 0.03646204963253812,\n\
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\ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.03646204963253812\n\
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\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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: 0.6161616161616161,\n \"acc_stderr\": 0.03464881675016339,\n \"\
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acc_norm\": 0.6161616161616161,\n \"acc_norm_stderr\": 0.03464881675016339\n\
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\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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\ \"acc\": 0.7098445595854922,\n \"acc_stderr\": 0.03275264467791516,\n\
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\ \"acc_norm\": 0.7098445595854922,\n \"acc_norm_stderr\": 0.03275264467791516\n\
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\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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\ \"acc\": 0.4256410256410256,\n \"acc_stderr\": 0.02506909438729654,\n \
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\ \"acc_norm\": 0.4256410256410256,\n \"acc_norm_stderr\": 0.02506909438729654\n\
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\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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acc\": 0.337037037037037,\n \"acc_stderr\": 0.028820884666253255,\n \
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\ \"acc_norm\": 0.337037037037037,\n \"acc_norm_stderr\": 0.028820884666253255\n\
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\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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\ \"acc\": 0.48739495798319327,\n \"acc_stderr\": 0.03246816765752174,\n\
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\ \"acc_norm\": 0.48739495798319327,\n \"acc_norm_stderr\": 0.03246816765752174\n\
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\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
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: 0.31125827814569534,\n \"acc_stderr\": 0.03780445850526733,\n \"\
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acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.03780445850526733\n\
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\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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: 0.6403669724770642,\n \"acc_stderr\": 0.02057523466012378,\n \"\
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acc_norm\": 0.6403669724770642,\n \"acc_norm_stderr\": 0.02057523466012378\n\
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\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
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: 0.39351851851851855,\n \"acc_stderr\": 0.03331747876370312,\n \"\
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acc_norm\": 0.39351851851851855,\n \"acc_norm_stderr\": 0.03331747876370312\n\
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\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
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: 0.5833333333333334,\n \"acc_stderr\": 0.03460228327239172,\n \"\
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acc_norm\": 0.5833333333333334,\n \"acc_norm_stderr\": 0.03460228327239172\n\
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\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
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acc\": 0.7215189873417721,\n \"acc_stderr\": 0.029178682304842548,\n \
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\ \"acc_norm\": 0.7215189873417721,\n \"acc_norm_stderr\": 0.029178682304842548\n\
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\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5022421524663677,\n\
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\ \"acc_stderr\": 0.033557465352232634,\n \"acc_norm\": 0.5022421524663677,\n\
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\ \"acc_norm_stderr\": 0.033557465352232634\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
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: {\n \"acc\": 0.5343511450381679,\n \"acc_stderr\": 0.04374928560599738,\n\
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\ \"acc_norm\": 0.5343511450381679,\n \"acc_norm_stderr\": 0.04374928560599738\n\
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\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
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\ 0.6859504132231405,\n \"acc_stderr\": 0.04236964753041019,\n \"\
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acc_norm\": 0.6859504132231405,\n \"acc_norm_stderr\": 0.04236964753041019\n\
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\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6018518518518519,\n\
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\ \"acc_stderr\": 0.04732332615978814,\n \"acc_norm\": 0.6018518518518519,\n\
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\ \"acc_norm_stderr\": 0.04732332615978814\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
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: {\n \"acc\": 0.4785276073619632,\n \"acc_stderr\": 0.0392474687675113,\n\
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\ \"acc_norm\": 0.4785276073619632,\n \"acc_norm_stderr\": 0.0392474687675113\n\
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\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.375,\n\
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\ \"acc_stderr\": 0.04595091388086298,\n \"acc_norm\": 0.375,\n \
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\ \"acc_norm_stderr\": 0.04595091388086298\n },\n \"harness|hendrycksTest-management|5\"\
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: {\n \"acc\": 0.6407766990291263,\n \"acc_stderr\": 0.047504583990416946,\n\
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\ \"acc_norm\": 0.6407766990291263,\n \"acc_norm_stderr\": 0.047504583990416946\n\
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\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.6581196581196581,\n\
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\ \"acc_stderr\": 0.031075028526507755,\n \"acc_norm\": 0.6581196581196581,\n\
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\ \"acc_norm_stderr\": 0.031075028526507755\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
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\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\n \
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\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.5925925925925926,\n\
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\ \"acc_stderr\": 0.017570705239256555,\n \"acc_norm\": 0.5925925925925926,\n\
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\ \"acc_norm_stderr\": 0.017570705239256555\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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: {\n \"acc\": 0.5289017341040463,\n \"acc_stderr\": 0.026874085883518348,\n\
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\ \"acc_norm\": 0.5289017341040463,\n \"acc_norm_stderr\": 0.026874085883518348\n\
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\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2581005586592179,\n\
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\ \"acc_stderr\": 0.014635185616527826,\n \"acc_norm\": 0.2581005586592179,\n\
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\ \"acc_norm_stderr\": 0.014635185616527826\n },\n \"harness|hendrycksTest-nutrition|5\"\
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: {\n \"acc\": 0.5163398692810458,\n \"acc_stderr\": 0.02861462475280544,\n\
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\ \"acc_norm\": 0.5163398692810458,\n \"acc_norm_stderr\": 0.02861462475280544\n\
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\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5401929260450161,\n\
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\ \"acc_stderr\": 0.028306190403305693,\n \"acc_norm\": 0.5401929260450161,\n\
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\ \"acc_norm_stderr\": 0.028306190403305693\n },\n \"harness|hendrycksTest-prehistory|5\"\
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: {\n \"acc\": 0.5277777777777778,\n \"acc_stderr\": 0.027777777777777797,\n\
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\ \"acc_norm\": 0.5277777777777778,\n \"acc_norm_stderr\": 0.027777777777777797\n\
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\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
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-
acc\": 0.32978723404255317,\n \"acc_stderr\": 0.028045946942042405,\n \
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\ \"acc_norm\": 0.32978723404255317,\n \"acc_norm_stderr\": 0.028045946942042405\n\
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\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.3709256844850065,\n\
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\ \"acc_stderr\": 0.01233739168453031,\n \"acc_norm\": 0.3709256844850065,\n\
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\ \"acc_norm_stderr\": 0.01233739168453031\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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: {\n \"acc\": 0.40808823529411764,\n \"acc_stderr\": 0.029855261393483924,\n\
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\ \"acc_norm\": 0.40808823529411764,\n \"acc_norm_stderr\": 0.029855261393483924\n\
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\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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acc\": 0.3937908496732026,\n \"acc_stderr\": 0.01976621199107306,\n \
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\ \"acc_norm\": 0.3937908496732026,\n \"acc_norm_stderr\": 0.01976621199107306\n\
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\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5454545454545454,\n\
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\ \"acc_stderr\": 0.04769300568972744,\n \"acc_norm\": 0.5454545454545454,\n\
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\ \"acc_norm_stderr\": 0.04769300568972744\n },\n \"harness|hendrycksTest-security_studies|5\"\
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: {\n \"acc\": 0.6408163265306123,\n \"acc_stderr\": 0.030713560455108493,\n\
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\ \"acc_norm\": 0.6408163265306123,\n \"acc_norm_stderr\": 0.030713560455108493\n\
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\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6119402985074627,\n\
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-
\ \"acc_stderr\": 0.034457899643627506,\n \"acc_norm\": 0.6119402985074627,\n\
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| 170 |
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\ \"acc_norm_stderr\": 0.034457899643627506\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
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: {\n \"acc\": 0.74,\n \"acc_stderr\": 0.0440844002276808,\n \
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\ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\
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\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42771084337349397,\n\
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\ \"acc_stderr\": 0.038515976837185335,\n \"acc_norm\": 0.42771084337349397,\n\
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\ \"acc_norm_stderr\": 0.038515976837185335\n },\n \"harness|hendrycksTest-world_religions|5\"\
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: {\n \"acc\": 0.5672514619883041,\n \"acc_stderr\": 0.03799978644370607,\n\
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\ \"acc_norm\": 0.5672514619883041,\n \"acc_norm_stderr\": 0.03799978644370607\n\
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\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.33047735618115054,\n\
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\ \"mc1_stderr\": 0.016466769613698296,\n \"mc2\": 0.4971825631415876,\n\
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\ \"mc2_stderr\": 0.016107199171239445\n }\n}\n```"
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repo_url: https://huggingface.co/ehartford/dolphin-llama2-7b
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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point_of_contact: clementine@hf.co
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- split: latest
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path:
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- '**/details_harness|arc:challenge|25_2023-08-09T13:40:29.466575.parquet'
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- config_name: harness_hellaswag_10
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data_files:
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- split: 2023_08_09T13_40_29.466575
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- split: latest
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path:
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- '**/details_harness|truthfulqa:mc|0_2023-08-09T13:40:29.466575.parquet'
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- config_name: results
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data_files:
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- split: 2023_08_09T13_40_29.466575
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path:
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- results_2023-08-09T13:40:29.466575.parquet
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- split: latest
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path:
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-
- results_2023-
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---
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# Dataset Card for Evaluation run of ehartford/dolphin-llama2-7b
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Dataset automatically created during the evaluation run of model [ehartford/dolphin-llama2-7b](https://huggingface.co/ehartford/dolphin-llama2-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
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The dataset is composed of
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The dataset has been created from
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An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
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```python
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from datasets import load_dataset
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data = load_dataset("open-llm-leaderboard/details_ehartford__dolphin-llama2-7b",
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"
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split="train")
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```
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## Latest results
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-
These are the [latest results from run 2023-
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```python
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{
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"all": {
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| 1090 |
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| 1102 |
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|
| 1114 |
-
},
|
| 1115 |
-
"harness|hendrycksTest-nutrition|5": {
|
| 1116 |
-
"acc": 0.5163398692810458,
|
| 1117 |
-
"acc_stderr": 0.02861462475280544,
|
| 1118 |
-
"acc_norm": 0.5163398692810458,
|
| 1119 |
-
"acc_norm_stderr": 0.02861462475280544
|
| 1120 |
-
},
|
| 1121 |
-
"harness|hendrycksTest-philosophy|5": {
|
| 1122 |
-
"acc": 0.5401929260450161,
|
| 1123 |
-
"acc_stderr": 0.028306190403305693,
|
| 1124 |
-
"acc_norm": 0.5401929260450161,
|
| 1125 |
-
"acc_norm_stderr": 0.028306190403305693
|
| 1126 |
-
},
|
| 1127 |
-
"harness|hendrycksTest-prehistory|5": {
|
| 1128 |
-
"acc": 0.5277777777777778,
|
| 1129 |
-
"acc_stderr": 0.027777777777777797,
|
| 1130 |
-
"acc_norm": 0.5277777777777778,
|
| 1131 |
-
"acc_norm_stderr": 0.027777777777777797
|
| 1132 |
-
},
|
| 1133 |
-
"harness|hendrycksTest-professional_accounting|5": {
|
| 1134 |
-
"acc": 0.32978723404255317,
|
| 1135 |
-
"acc_stderr": 0.028045946942042405,
|
| 1136 |
-
"acc_norm": 0.32978723404255317,
|
| 1137 |
-
"acc_norm_stderr": 0.028045946942042405
|
| 1138 |
-
},
|
| 1139 |
-
"harness|hendrycksTest-professional_law|5": {
|
| 1140 |
-
"acc": 0.3709256844850065,
|
| 1141 |
-
"acc_stderr": 0.01233739168453031,
|
| 1142 |
-
"acc_norm": 0.3709256844850065,
|
| 1143 |
-
"acc_norm_stderr": 0.01233739168453031
|
| 1144 |
-
},
|
| 1145 |
-
"harness|hendrycksTest-professional_medicine|5": {
|
| 1146 |
-
"acc": 0.40808823529411764,
|
| 1147 |
-
"acc_stderr": 0.029855261393483924,
|
| 1148 |
-
"acc_norm": 0.40808823529411764,
|
| 1149 |
-
"acc_norm_stderr": 0.029855261393483924
|
| 1150 |
-
},
|
| 1151 |
-
"harness|hendrycksTest-professional_psychology|5": {
|
| 1152 |
-
"acc": 0.3937908496732026,
|
| 1153 |
-
"acc_stderr": 0.01976621199107306,
|
| 1154 |
-
"acc_norm": 0.3937908496732026,
|
| 1155 |
-
"acc_norm_stderr": 0.01976621199107306
|
| 1156 |
-
},
|
| 1157 |
-
"harness|hendrycksTest-public_relations|5": {
|
| 1158 |
-
"acc": 0.5454545454545454,
|
| 1159 |
-
"acc_stderr": 0.04769300568972744,
|
| 1160 |
-
"acc_norm": 0.5454545454545454,
|
| 1161 |
-
"acc_norm_stderr": 0.04769300568972744
|
| 1162 |
-
},
|
| 1163 |
-
"harness|hendrycksTest-security_studies|5": {
|
| 1164 |
-
"acc": 0.6408163265306123,
|
| 1165 |
-
"acc_stderr": 0.030713560455108493,
|
| 1166 |
-
"acc_norm": 0.6408163265306123,
|
| 1167 |
-
"acc_norm_stderr": 0.030713560455108493
|
| 1168 |
-
},
|
| 1169 |
-
"harness|hendrycksTest-sociology|5": {
|
| 1170 |
-
"acc": 0.6119402985074627,
|
| 1171 |
-
"acc_stderr": 0.034457899643627506,
|
| 1172 |
-
"acc_norm": 0.6119402985074627,
|
| 1173 |
-
"acc_norm_stderr": 0.034457899643627506
|
| 1174 |
-
},
|
| 1175 |
-
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1176 |
-
"acc": 0.74,
|
| 1177 |
-
"acc_stderr": 0.0440844002276808,
|
| 1178 |
-
"acc_norm": 0.74,
|
| 1179 |
-
"acc_norm_stderr": 0.0440844002276808
|
| 1180 |
-
},
|
| 1181 |
-
"harness|hendrycksTest-virology|5": {
|
| 1182 |
-
"acc": 0.42771084337349397,
|
| 1183 |
-
"acc_stderr": 0.038515976837185335,
|
| 1184 |
-
"acc_norm": 0.42771084337349397,
|
| 1185 |
-
"acc_norm_stderr": 0.038515976837185335
|
| 1186 |
-
},
|
| 1187 |
-
"harness|hendrycksTest-world_religions|5": {
|
| 1188 |
-
"acc": 0.5672514619883041,
|
| 1189 |
-
"acc_stderr": 0.03799978644370607,
|
| 1190 |
-
"acc_norm": 0.5672514619883041,
|
| 1191 |
-
"acc_norm_stderr": 0.03799978644370607
|
| 1192 |
-
},
|
| 1193 |
-
"harness|truthfulqa:mc|0": {
|
| 1194 |
-
"mc1": 0.33047735618115054,
|
| 1195 |
-
"mc1_stderr": 0.016466769613698296,
|
| 1196 |
-
"mc2": 0.4971825631415876,
|
| 1197 |
-
"mc2_stderr": 0.016107199171239445
|
| 1198 |
}
|
| 1199 |
}
|
| 1200 |
```
|
|
|
|
| 3 |
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
\ [ehartford/dolphin-llama2-7b](https://huggingface.co/ehartford/dolphin-llama2-7b)\
|
| 5 |
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 64 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\
|
| 8 |
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
\nAn additional configuration \"results\" store all the aggregated results of the\
|
|
|
|
| 12 |
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_ehartford__dolphin-llama2-7b\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2023-10-22T06:19:33.334508](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__dolphin-llama2-7b/blob/main/results_2023-10-22T06-19-33.334508.json)(note\
|
| 17 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"em\": 0.03387164429530201,\n\
|
| 20 |
+
\ \"em_stderr\": 0.0018525724686931102,\n \"f1\": 0.11525377516778465,\n\
|
| 21 |
+
\ \"f1_stderr\": 0.0024425047696980885,\n \"acc\": 0.34729408624959834,\n\
|
| 22 |
+
\ \"acc_stderr\": 0.009943822859176079\n },\n \"harness|drop|3\": {\n\
|
| 23 |
+
\ \"em\": 0.03387164429530201,\n \"em_stderr\": 0.0018525724686931102,\n\
|
| 24 |
+
\ \"f1\": 0.11525377516778465,\n \"f1_stderr\": 0.0024425047696980885\n\
|
| 25 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.05686125852918878,\n \
|
| 26 |
+
\ \"acc_stderr\": 0.006378790242099651\n },\n \"harness|winogrande|5\"\
|
| 27 |
+
: {\n \"acc\": 0.6377269139700079,\n \"acc_stderr\": 0.013508855476252508\n\
|
| 28 |
+
\ }\n}\n```"
|
|
|
|
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|
|
| 29 |
repo_url: https://huggingface.co/ehartford/dolphin-llama2-7b
|
| 30 |
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 31 |
point_of_contact: clementine@hf.co
|
|
|
|
| 38 |
- split: latest
|
| 39 |
path:
|
| 40 |
- '**/details_harness|arc:challenge|25_2023-08-09T13:40:29.466575.parquet'
|
| 41 |
+
- config_name: harness_drop_3
|
| 42 |
+
data_files:
|
| 43 |
+
- split: 2023_10_22T06_19_33.334508
|
| 44 |
+
path:
|
| 45 |
+
- '**/details_harness|drop|3_2023-10-22T06-19-33.334508.parquet'
|
| 46 |
+
- split: latest
|
| 47 |
+
path:
|
| 48 |
+
- '**/details_harness|drop|3_2023-10-22T06-19-33.334508.parquet'
|
| 49 |
+
- config_name: harness_gsm8k_5
|
| 50 |
+
data_files:
|
| 51 |
+
- split: 2023_10_22T06_19_33.334508
|
| 52 |
+
path:
|
| 53 |
+
- '**/details_harness|gsm8k|5_2023-10-22T06-19-33.334508.parquet'
|
| 54 |
+
- split: latest
|
| 55 |
+
path:
|
| 56 |
+
- '**/details_harness|gsm8k|5_2023-10-22T06-19-33.334508.parquet'
|
| 57 |
- config_name: harness_hellaswag_10
|
| 58 |
data_files:
|
| 59 |
- split: 2023_08_09T13_40_29.466575
|
|
|
|
| 646 |
- split: latest
|
| 647 |
path:
|
| 648 |
- '**/details_harness|truthfulqa:mc|0_2023-08-09T13:40:29.466575.parquet'
|
| 649 |
+
- config_name: harness_winogrande_5
|
| 650 |
+
data_files:
|
| 651 |
+
- split: 2023_10_22T06_19_33.334508
|
| 652 |
+
path:
|
| 653 |
+
- '**/details_harness|winogrande|5_2023-10-22T06-19-33.334508.parquet'
|
| 654 |
+
- split: latest
|
| 655 |
+
path:
|
| 656 |
+
- '**/details_harness|winogrande|5_2023-10-22T06-19-33.334508.parquet'
|
| 657 |
- config_name: results
|
| 658 |
data_files:
|
| 659 |
- split: 2023_08_09T13_40_29.466575
|
| 660 |
path:
|
| 661 |
- results_2023-08-09T13:40:29.466575.parquet
|
| 662 |
+
- split: 2023_10_22T06_19_33.334508
|
| 663 |
+
path:
|
| 664 |
+
- results_2023-10-22T06-19-33.334508.parquet
|
| 665 |
- split: latest
|
| 666 |
path:
|
| 667 |
+
- results_2023-10-22T06-19-33.334508.parquet
|
| 668 |
---
|
| 669 |
|
| 670 |
# Dataset Card for Evaluation run of ehartford/dolphin-llama2-7b
|
|
|
|
| 681 |
|
| 682 |
Dataset automatically created during the evaluation run of model [ehartford/dolphin-llama2-7b](https://huggingface.co/ehartford/dolphin-llama2-7b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 683 |
|
| 684 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
| 685 |
|
| 686 |
+
The dataset has been created from 2 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.
|
| 687 |
|
| 688 |
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
| 689 |
|
|
|
|
| 691 |
```python
|
| 692 |
from datasets import load_dataset
|
| 693 |
data = load_dataset("open-llm-leaderboard/details_ehartford__dolphin-llama2-7b",
|
| 694 |
+
"harness_winogrande_5",
|
| 695 |
split="train")
|
| 696 |
```
|
| 697 |
|
| 698 |
## Latest results
|
| 699 |
|
| 700 |
+
These are the [latest results from run 2023-10-22T06:19:33.334508](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__dolphin-llama2-7b/blob/main/results_2023-10-22T06-19-33.334508.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):
|
| 701 |
|
| 702 |
```python
|
| 703 |
{
|
| 704 |
"all": {
|
| 705 |
+
"em": 0.03387164429530201,
|
| 706 |
+
"em_stderr": 0.0018525724686931102,
|
| 707 |
+
"f1": 0.11525377516778465,
|
| 708 |
+
"f1_stderr": 0.0024425047696980885,
|
| 709 |
+
"acc": 0.34729408624959834,
|
| 710 |
+
"acc_stderr": 0.009943822859176079
|
| 711 |
+
},
|
| 712 |
+
"harness|drop|3": {
|
| 713 |
+
"em": 0.03387164429530201,
|
| 714 |
+
"em_stderr": 0.0018525724686931102,
|
| 715 |
+
"f1": 0.11525377516778465,
|
| 716 |
+
"f1_stderr": 0.0024425047696980885
|
| 717 |
+
},
|
| 718 |
+
"harness|gsm8k|5": {
|
| 719 |
+
"acc": 0.05686125852918878,
|
| 720 |
+
"acc_stderr": 0.006378790242099651
|
| 721 |
+
},
|
| 722 |
+
"harness|winogrande|5": {
|
| 723 |
+
"acc": 0.6377269139700079,
|
| 724 |
+
"acc_stderr": 0.013508855476252508
|
|
|
|
|
|
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| 725 |
}
|
| 726 |
}
|
| 727 |
```
|