llama3-Mirage-Walker-8b / results_2024-04-22T00-31-29.434502.json
taozi555's picture
Upload results_2024-04-22T00-31-29.434502.json
4ea016f verified
raw
history blame contribute delete
No virus
90.2 kB
{
"config_general": {
"lighteval_sha": "?",
"num_fewshot_seeds": 1,
"override_batch_size": -1,
"max_samples": null,
"job_id": "",
"start_time": 6506311.714952203,
"end_time": 6527604.5975109,
"total_evaluation_time_secondes": "21292.882558696903",
"model_name": "taozi555/llama3-Mirage-Walker-8b",
"model_sha": "f14b1a5faecce896e7f12c601756ed2aa3680cac",
"model_dtype": "torch.bfloat16",
"model_size": "15.08 GB",
"config": null
},
"results": {
"leaderboard|arc:challenge|25": {
"acc": 0.5767918088737202,
"acc_stderr": 0.01443803622084802,
"acc_norm": 0.5810580204778157,
"acc_norm_stderr": 0.014418106953639013
},
"leaderboard|hellaswag|10": {
"acc": 0.6086436964748058,
"acc_stderr": 0.004870563921220625,
"acc_norm": 0.783608842859988,
"acc_norm_stderr": 0.004109423832097878
},
"leaderboard|mmlu:abstract_algebra|5": {
"acc": 0.43,
"acc_stderr": 0.049756985195624284
},
"leaderboard|mmlu:anatomy|5": {
"acc": 0.674074074074074,
"acc_stderr": 0.040491220417025055
},
"leaderboard|mmlu:astronomy|5": {
"acc": 0.7631578947368421,
"acc_stderr": 0.03459777606810536
},
"leaderboard|mmlu:business_ethics|5": {
"acc": 0.69,
"acc_stderr": 0.04648231987117316
},
"leaderboard|mmlu:clinical_knowledge|5": {
"acc": 0.7509433962264151,
"acc_stderr": 0.026616482980501704
},
"leaderboard|mmlu:college_biology|5": {
"acc": 0.8333333333333334,
"acc_stderr": 0.031164899666948617
},
"leaderboard|mmlu:college_chemistry|5": {
"acc": 0.48,
"acc_stderr": 0.050211673156867795
},
"leaderboard|mmlu:college_computer_science|5": {
"acc": 0.62,
"acc_stderr": 0.048783173121456316
},
"leaderboard|mmlu:college_mathematics|5": {
"acc": 0.4,
"acc_stderr": 0.04923659639173309
},
"leaderboard|mmlu:college_medicine|5": {
"acc": 0.6705202312138728,
"acc_stderr": 0.03583901754736412
},
"leaderboard|mmlu:college_physics|5": {
"acc": 0.45098039215686275,
"acc_stderr": 0.049512182523962625
},
"leaderboard|mmlu:computer_security|5": {
"acc": 0.79,
"acc_stderr": 0.04093601807403326
},
"leaderboard|mmlu:conceptual_physics|5": {
"acc": 0.6085106382978723,
"acc_stderr": 0.03190701242326812
},
"leaderboard|mmlu:econometrics|5": {
"acc": 0.5,
"acc_stderr": 0.047036043419179864
},
"leaderboard|mmlu:electrical_engineering|5": {
"acc": 0.6275862068965518,
"acc_stderr": 0.0402873153294756
},
"leaderboard|mmlu:elementary_mathematics|5": {
"acc": 0.47619047619047616,
"acc_stderr": 0.02572209706438853
},
"leaderboard|mmlu:formal_logic|5": {
"acc": 0.5476190476190477,
"acc_stderr": 0.044518079590553275
},
"leaderboard|mmlu:global_facts|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620332
},
"leaderboard|mmlu:high_school_biology|5": {
"acc": 0.8129032258064516,
"acc_stderr": 0.022185710092252252
},
"leaderboard|mmlu:high_school_chemistry|5": {
"acc": 0.5862068965517241,
"acc_stderr": 0.03465304488406795
},
"leaderboard|mmlu:high_school_computer_science|5": {
"acc": 0.72,
"acc_stderr": 0.04512608598542127
},
"leaderboard|mmlu:high_school_european_history|5": {
"acc": 0.7454545454545455,
"acc_stderr": 0.03401506715249039
},
"leaderboard|mmlu:high_school_geography|5": {
"acc": 0.8383838383838383,
"acc_stderr": 0.02622591986362928
},
"leaderboard|mmlu:high_school_government_and_politics|5": {
"acc": 0.917098445595855,
"acc_stderr": 0.01989934131572178
},
"leaderboard|mmlu:high_school_macroeconomics|5": {
"acc": 0.6717948717948717,
"acc_stderr": 0.02380763319865726
},
"leaderboard|mmlu:high_school_mathematics|5": {
"acc": 0.3888888888888889,
"acc_stderr": 0.029723278961476664
},
"leaderboard|mmlu:high_school_microeconomics|5": {
"acc": 0.7605042016806722,
"acc_stderr": 0.027722065493361252
},
"leaderboard|mmlu:high_school_physics|5": {
"acc": 0.4304635761589404,
"acc_stderr": 0.04042809961395634
},
"leaderboard|mmlu:high_school_psychology|5": {
"acc": 0.8642201834862385,
"acc_stderr": 0.014686907556340022
},
"leaderboard|mmlu:high_school_statistics|5": {
"acc": 0.5416666666666666,
"acc_stderr": 0.033981108902946366
},
"leaderboard|mmlu:high_school_us_history|5": {
"acc": 0.8578431372549019,
"acc_stderr": 0.02450980392156861
},
"leaderboard|mmlu:high_school_world_history|5": {
"acc": 0.8396624472573839,
"acc_stderr": 0.02388438092596567
},
"leaderboard|mmlu:human_aging|5": {
"acc": 0.695067264573991,
"acc_stderr": 0.030898610882477518
},
"leaderboard|mmlu:human_sexuality|5": {
"acc": 0.7786259541984732,
"acc_stderr": 0.03641297081313729
},
"leaderboard|mmlu:international_law|5": {
"acc": 0.8264462809917356,
"acc_stderr": 0.03457272836917669
},
"leaderboard|mmlu:jurisprudence|5": {
"acc": 0.8148148148148148,
"acc_stderr": 0.03755265865037181
},
"leaderboard|mmlu:logical_fallacies|5": {
"acc": 0.7484662576687117,
"acc_stderr": 0.034089978868575295
},
"leaderboard|mmlu:machine_learning|5": {
"acc": 0.5089285714285714,
"acc_stderr": 0.04745033255489123
},
"leaderboard|mmlu:management|5": {
"acc": 0.8349514563106796,
"acc_stderr": 0.036756688322331886
},
"leaderboard|mmlu:marketing|5": {
"acc": 0.8846153846153846,
"acc_stderr": 0.020930193185179326
},
"leaderboard|mmlu:medical_genetics|5": {
"acc": 0.81,
"acc_stderr": 0.03942772444036623
},
"leaderboard|mmlu:miscellaneous|5": {
"acc": 0.8454661558109834,
"acc_stderr": 0.012925773495095974
},
"leaderboard|mmlu:moral_disputes|5": {
"acc": 0.7254335260115607,
"acc_stderr": 0.024027745155265012
},
"leaderboard|mmlu:moral_scenarios|5": {
"acc": 0.41787709497206704,
"acc_stderr": 0.01649540063582008
},
"leaderboard|mmlu:nutrition|5": {
"acc": 0.7712418300653595,
"acc_stderr": 0.024051029739912248
},
"leaderboard|mmlu:philosophy|5": {
"acc": 0.7427652733118971,
"acc_stderr": 0.024826171289250888
},
"leaderboard|mmlu:prehistory|5": {
"acc": 0.7438271604938271,
"acc_stderr": 0.024288533637726095
},
"leaderboard|mmlu:professional_accounting|5": {
"acc": 0.5070921985815603,
"acc_stderr": 0.02982449855912901
},
"leaderboard|mmlu:professional_law|5": {
"acc": 0.4810951760104302,
"acc_stderr": 0.012761104871472658
},
"leaderboard|mmlu:professional_medicine|5": {
"acc": 0.75,
"acc_stderr": 0.026303648393696036
},
"leaderboard|mmlu:professional_psychology|5": {
"acc": 0.6993464052287581,
"acc_stderr": 0.01855063450295296
},
"leaderboard|mmlu:public_relations|5": {
"acc": 0.6545454545454545,
"acc_stderr": 0.04554619617541054
},
"leaderboard|mmlu:security_studies|5": {
"acc": 0.7510204081632653,
"acc_stderr": 0.027682979522960227
},
"leaderboard|mmlu:sociology|5": {
"acc": 0.8308457711442786,
"acc_stderr": 0.026508590656233268
},
"leaderboard|mmlu:us_foreign_policy|5": {
"acc": 0.86,
"acc_stderr": 0.03487350880197769
},
"leaderboard|mmlu:virology|5": {
"acc": 0.5120481927710844,
"acc_stderr": 0.03891364495835817
},
"leaderboard|mmlu:world_religions|5": {
"acc": 0.8245614035087719,
"acc_stderr": 0.029170885500727665
},
"leaderboard|truthfulqa:mc|0": {
"truthfulqa_mc1": 0.34761321909424725,
"truthfulqa_mc1_stderr": 0.016670769188897306,
"truthfulqa_mc2": 0.5156373144783575,
"truthfulqa_mc2_stderr": 0.015703082442877
},
"leaderboard|winogrande|5": {
"acc": 0.7529597474348856,
"acc_stderr": 0.012121402942855576
},
"leaderboard|gsm8k|5": {
"qem": 0.6724791508718726,
"qem_stderr": 0.012927102210426719
},
"leaderboard|mmlu:_average|5": {
"acc": 0.6801243622973331,
"acc_stderr": 0.03296281402260026
},
"all": {
"acc": 0.6784247317288568,
"acc_stderr": 0.03183850670621899,
"acc_norm": 0.6823334316689018,
"acc_norm_stderr": 0.009263765392868446,
"truthfulqa_mc1": 0.34761321909424725,
"truthfulqa_mc1_stderr": 0.016670769188897306,
"truthfulqa_mc2": 0.5156373144783575,
"truthfulqa_mc2_stderr": 0.015703082442877,
"qem": 0.6724791508718726,
"qem_stderr": 0.012927102210426719
}
},
"versions": {
"leaderboard|arc:challenge|25": 0,
"leaderboard|gsm8k|5": 0,
"leaderboard|hellaswag|10": 0,
"leaderboard|mmlu:abstract_algebra|5": 0,
"leaderboard|mmlu:anatomy|5": 0,
"leaderboard|mmlu:astronomy|5": 0,
"leaderboard|mmlu:business_ethics|5": 0,
"leaderboard|mmlu:clinical_knowledge|5": 0,
"leaderboard|mmlu:college_biology|5": 0,
"leaderboard|mmlu:college_chemistry|5": 0,
"leaderboard|mmlu:college_computer_science|5": 0,
"leaderboard|mmlu:college_mathematics|5": 0,
"leaderboard|mmlu:college_medicine|5": 0,
"leaderboard|mmlu:college_physics|5": 0,
"leaderboard|mmlu:computer_security|5": 0,
"leaderboard|mmlu:conceptual_physics|5": 0,
"leaderboard|mmlu:econometrics|5": 0,
"leaderboard|mmlu:electrical_engineering|5": 0,
"leaderboard|mmlu:elementary_mathematics|5": 0,
"leaderboard|mmlu:formal_logic|5": 0,
"leaderboard|mmlu:global_facts|5": 0,
"leaderboard|mmlu:high_school_biology|5": 0,
"leaderboard|mmlu:high_school_chemistry|5": 0,
"leaderboard|mmlu:high_school_computer_science|5": 0,
"leaderboard|mmlu:high_school_european_history|5": 0,
"leaderboard|mmlu:high_school_geography|5": 0,
"leaderboard|mmlu:high_school_government_and_politics|5": 0,
"leaderboard|mmlu:high_school_macroeconomics|5": 0,
"leaderboard|mmlu:high_school_mathematics|5": 0,
"leaderboard|mmlu:high_school_microeconomics|5": 0,
"leaderboard|mmlu:high_school_physics|5": 0,
"leaderboard|mmlu:high_school_psychology|5": 0,
"leaderboard|mmlu:high_school_statistics|5": 0,
"leaderboard|mmlu:high_school_us_history|5": 0,
"leaderboard|mmlu:high_school_world_history|5": 0,
"leaderboard|mmlu:human_aging|5": 0,
"leaderboard|mmlu:human_sexuality|5": 0,
"leaderboard|mmlu:international_law|5": 0,
"leaderboard|mmlu:jurisprudence|5": 0,
"leaderboard|mmlu:logical_fallacies|5": 0,
"leaderboard|mmlu:machine_learning|5": 0,
"leaderboard|mmlu:management|5": 0,
"leaderboard|mmlu:marketing|5": 0,
"leaderboard|mmlu:medical_genetics|5": 0,
"leaderboard|mmlu:miscellaneous|5": 0,
"leaderboard|mmlu:moral_disputes|5": 0,
"leaderboard|mmlu:moral_scenarios|5": 0,
"leaderboard|mmlu:nutrition|5": 0,
"leaderboard|mmlu:philosophy|5": 0,
"leaderboard|mmlu:prehistory|5": 0,
"leaderboard|mmlu:professional_accounting|5": 0,
"leaderboard|mmlu:professional_law|5": 0,
"leaderboard|mmlu:professional_medicine|5": 0,
"leaderboard|mmlu:professional_psychology|5": 0,
"leaderboard|mmlu:public_relations|5": 0,
"leaderboard|mmlu:security_studies|5": 0,
"leaderboard|mmlu:sociology|5": 0,
"leaderboard|mmlu:us_foreign_policy|5": 0,
"leaderboard|mmlu:virology|5": 0,
"leaderboard|mmlu:world_religions|5": 0,
"leaderboard|truthfulqa:mc|0": 0,
"leaderboard|winogrande|5": 0
},
"config_tasks": {
"leaderboard|arc:challenge": {
"name": "arc:challenge",
"prompt_function": "arc",
"hf_repo": "ai2_arc",
"hf_subset": "ARC-Challenge",
"metric": [
"loglikelihood_acc",
"loglikelihood_acc_norm_nospace"
],
"hf_avail_splits": [
"train",
"test"
],
"evaluation_splits": [
"test"
],
"few_shots_split": null,
"few_shots_select": "random_sampling_from_train",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"arc"
],
"original_num_docs": 1172,
"effective_num_docs": 1172,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|gsm8k": {
"name": "gsm8k",
"prompt_function": "gsm8k",
"hf_repo": "gsm8k",
"hf_subset": "main",
"metric": [
"quasi_exact_match_gsm8k"
],
"hf_avail_splits": [
"train",
"test"
],
"evaluation_splits": [
"test"
],
"few_shots_split": null,
"few_shots_select": "random_sampling_from_train",
"generation_size": 256,
"stop_sequence": [
"Question:",
"Question",
":"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard"
],
"original_num_docs": 1319,
"effective_num_docs": 1319,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|hellaswag": {
"name": "hellaswag",
"prompt_function": "hellaswag_harness",
"hf_repo": "hellaswag",
"hf_subset": "default",
"metric": [
"loglikelihood_acc",
"loglikelihood_acc_norm"
],
"hf_avail_splits": [
"train",
"test",
"validation"
],
"evaluation_splits": [
"validation"
],
"few_shots_split": null,
"few_shots_select": "random_sampling_from_train",
"generation_size": -1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard"
],
"original_num_docs": 10042,
"effective_num_docs": 10042,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:abstract_algebra": {
"name": "mmlu:abstract_algebra",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "abstract_algebra",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:anatomy": {
"name": "mmlu:anatomy",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "anatomy",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 135,
"effective_num_docs": 135,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:astronomy": {
"name": "mmlu:astronomy",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "astronomy",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 152,
"effective_num_docs": 152,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:business_ethics": {
"name": "mmlu:business_ethics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "business_ethics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:clinical_knowledge": {
"name": "mmlu:clinical_knowledge",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "clinical_knowledge",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 265,
"effective_num_docs": 265,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_biology": {
"name": "mmlu:college_biology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_biology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 144,
"effective_num_docs": 144,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_chemistry": {
"name": "mmlu:college_chemistry",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_chemistry",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_computer_science": {
"name": "mmlu:college_computer_science",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_computer_science",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_mathematics": {
"name": "mmlu:college_mathematics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_mathematics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_medicine": {
"name": "mmlu:college_medicine",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_medicine",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 173,
"effective_num_docs": 173,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:college_physics": {
"name": "mmlu:college_physics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "college_physics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 102,
"effective_num_docs": 102,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:computer_security": {
"name": "mmlu:computer_security",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "computer_security",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:conceptual_physics": {
"name": "mmlu:conceptual_physics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "conceptual_physics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 235,
"effective_num_docs": 235,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:econometrics": {
"name": "mmlu:econometrics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "econometrics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 114,
"effective_num_docs": 114,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:electrical_engineering": {
"name": "mmlu:electrical_engineering",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "electrical_engineering",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 145,
"effective_num_docs": 145,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:elementary_mathematics": {
"name": "mmlu:elementary_mathematics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "elementary_mathematics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 378,
"effective_num_docs": 378,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:formal_logic": {
"name": "mmlu:formal_logic",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "formal_logic",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 126,
"effective_num_docs": 126,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:global_facts": {
"name": "mmlu:global_facts",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "global_facts",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_biology": {
"name": "mmlu:high_school_biology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_biology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 310,
"effective_num_docs": 310,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_chemistry": {
"name": "mmlu:high_school_chemistry",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_chemistry",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 203,
"effective_num_docs": 203,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_computer_science": {
"name": "mmlu:high_school_computer_science",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_computer_science",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_european_history": {
"name": "mmlu:high_school_european_history",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_european_history",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 165,
"effective_num_docs": 165,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_geography": {
"name": "mmlu:high_school_geography",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_geography",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 198,
"effective_num_docs": 198,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_government_and_politics": {
"name": "mmlu:high_school_government_and_politics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_government_and_politics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 193,
"effective_num_docs": 193,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_macroeconomics": {
"name": "mmlu:high_school_macroeconomics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_macroeconomics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 390,
"effective_num_docs": 390,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_mathematics": {
"name": "mmlu:high_school_mathematics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_mathematics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 270,
"effective_num_docs": 270,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_microeconomics": {
"name": "mmlu:high_school_microeconomics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_microeconomics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 238,
"effective_num_docs": 238,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_physics": {
"name": "mmlu:high_school_physics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_physics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 151,
"effective_num_docs": 151,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_psychology": {
"name": "mmlu:high_school_psychology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_psychology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 545,
"effective_num_docs": 545,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_statistics": {
"name": "mmlu:high_school_statistics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_statistics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 216,
"effective_num_docs": 216,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_us_history": {
"name": "mmlu:high_school_us_history",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_us_history",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 204,
"effective_num_docs": 204,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:high_school_world_history": {
"name": "mmlu:high_school_world_history",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "high_school_world_history",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 237,
"effective_num_docs": 237,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:human_aging": {
"name": "mmlu:human_aging",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "human_aging",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 223,
"effective_num_docs": 223,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:human_sexuality": {
"name": "mmlu:human_sexuality",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "human_sexuality",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 131,
"effective_num_docs": 131,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:international_law": {
"name": "mmlu:international_law",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "international_law",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 121,
"effective_num_docs": 121,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:jurisprudence": {
"name": "mmlu:jurisprudence",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "jurisprudence",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 108,
"effective_num_docs": 108,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:logical_fallacies": {
"name": "mmlu:logical_fallacies",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "logical_fallacies",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 163,
"effective_num_docs": 163,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:machine_learning": {
"name": "mmlu:machine_learning",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "machine_learning",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 112,
"effective_num_docs": 112,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:management": {
"name": "mmlu:management",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "management",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 103,
"effective_num_docs": 103,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:marketing": {
"name": "mmlu:marketing",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "marketing",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 234,
"effective_num_docs": 234,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:medical_genetics": {
"name": "mmlu:medical_genetics",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "medical_genetics",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:miscellaneous": {
"name": "mmlu:miscellaneous",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "miscellaneous",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 783,
"effective_num_docs": 783,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:moral_disputes": {
"name": "mmlu:moral_disputes",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "moral_disputes",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 346,
"effective_num_docs": 346,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:moral_scenarios": {
"name": "mmlu:moral_scenarios",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "moral_scenarios",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 895,
"effective_num_docs": 895,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:nutrition": {
"name": "mmlu:nutrition",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "nutrition",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 306,
"effective_num_docs": 306,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:philosophy": {
"name": "mmlu:philosophy",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "philosophy",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 311,
"effective_num_docs": 311,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:prehistory": {
"name": "mmlu:prehistory",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "prehistory",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 324,
"effective_num_docs": 324,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:professional_accounting": {
"name": "mmlu:professional_accounting",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "professional_accounting",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 282,
"effective_num_docs": 282,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:professional_law": {
"name": "mmlu:professional_law",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "professional_law",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 1534,
"effective_num_docs": 1534,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:professional_medicine": {
"name": "mmlu:professional_medicine",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "professional_medicine",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 272,
"effective_num_docs": 272,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:professional_psychology": {
"name": "mmlu:professional_psychology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "professional_psychology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 612,
"effective_num_docs": 612,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:public_relations": {
"name": "mmlu:public_relations",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "public_relations",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 110,
"effective_num_docs": 110,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:security_studies": {
"name": "mmlu:security_studies",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "security_studies",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 245,
"effective_num_docs": 245,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:sociology": {
"name": "mmlu:sociology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "sociology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 201,
"effective_num_docs": 201,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:us_foreign_policy": {
"name": "mmlu:us_foreign_policy",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "us_foreign_policy",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:virology": {
"name": "mmlu:virology",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "virology",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 166,
"effective_num_docs": 166,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|mmlu:world_religions": {
"name": "mmlu:world_religions",
"prompt_function": "mmlu_harness",
"hf_repo": "lighteval/mmlu",
"hf_subset": "world_religions",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"auxiliary_train",
"test",
"validation",
"dev"
],
"evaluation_splits": [
"test"
],
"few_shots_split": "dev",
"few_shots_select": "sequential",
"generation_size": 1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard",
"mmlu"
],
"original_num_docs": 171,
"effective_num_docs": 171,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|truthfulqa:mc": {
"name": "truthfulqa:mc",
"prompt_function": "truthful_qa_multiple_choice",
"hf_repo": "truthful_qa",
"hf_subset": "multiple_choice",
"metric": [
"truthfulqa_mc_metrics"
],
"hf_avail_splits": [
"validation"
],
"evaluation_splits": [
"validation"
],
"few_shots_split": null,
"few_shots_select": null,
"generation_size": -1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard"
],
"original_num_docs": 817,
"effective_num_docs": 817,
"trust_dataset": true,
"must_remove_duplicate_docs": null
},
"leaderboard|winogrande": {
"name": "winogrande",
"prompt_function": "winogrande",
"hf_repo": "winogrande",
"hf_subset": "winogrande_xl",
"metric": [
"loglikelihood_acc"
],
"hf_avail_splits": [
"train",
"test",
"validation"
],
"evaluation_splits": [
"validation"
],
"few_shots_split": null,
"few_shots_select": "random_sampling",
"generation_size": -1,
"stop_sequence": [
"\n"
],
"output_regex": null,
"frozen": false,
"suite": [
"leaderboard"
],
"original_num_docs": 1267,
"effective_num_docs": 1267,
"trust_dataset": true,
"must_remove_duplicate_docs": null
}
},
"summary_tasks": {
"leaderboard|arc:challenge|25": {
"hashes": {
"hash_examples": "17b0cae357c0259e",
"hash_full_prompts": "4aeb23a740784b86",
"hash_input_tokens": "6327b032f3de83c4",
"hash_cont_tokens": "c77636140035b318"
},
"truncated": 0,
"non_truncated": 1172,
"padded": 4687,
"non_padded": 0,
"effective_few_shots": 25.0,
"num_truncated_few_shots": 0
},
"leaderboard|hellaswag|10": {
"hashes": {
"hash_examples": "31985c805c3a737e",
"hash_full_prompts": "3c2d3440e190b07b",
"hash_input_tokens": "bb027c2cf1da51d3",
"hash_cont_tokens": "2d70b9577ac439d0"
},
"truncated": 0,
"non_truncated": 10042,
"padded": 40105,
"non_padded": 63,
"effective_few_shots": 10.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:abstract_algebra|5": {
"hashes": {
"hash_examples": "4c76229e00c9c0e9",
"hash_full_prompts": "faefa0cccb952fe0",
"hash_input_tokens": "c7100cded1fd23c7",
"hash_cont_tokens": "a886b3552371a98b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:anatomy|5": {
"hashes": {
"hash_examples": "6a1f8104dccbd33b",
"hash_full_prompts": "eacd03e46972fa59",
"hash_input_tokens": "66c3858c5e24e62f",
"hash_cont_tokens": "9be31d13c42ead00"
},
"truncated": 0,
"non_truncated": 135,
"padded": 540,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:astronomy|5": {
"hashes": {
"hash_examples": "1302effa3a76ce4c",
"hash_full_prompts": "826cacbdf1f6bfd0",
"hash_input_tokens": "5c83cc7051903092",
"hash_cont_tokens": "5da09bc77752f437"
},
"truncated": 0,
"non_truncated": 152,
"padded": 608,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:business_ethics|5": {
"hashes": {
"hash_examples": "03cb8bce5336419a",
"hash_full_prompts": "518511169382ac39",
"hash_input_tokens": "7aeea403244c4473",
"hash_cont_tokens": "03b2ebbdc5224bb0"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:clinical_knowledge|5": {
"hashes": {
"hash_examples": "ffbb9c7b2be257f9",
"hash_full_prompts": "0b07b0bc774fdfd9",
"hash_input_tokens": "ec0c6a5f110eb99d",
"hash_cont_tokens": "40dd7263ce5af5de"
},
"truncated": 0,
"non_truncated": 265,
"padded": 1060,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_biology|5": {
"hashes": {
"hash_examples": "3ee77f176f38eb8e",
"hash_full_prompts": "22cbe0e8dabf98b1",
"hash_input_tokens": "98495e6d43b43601",
"hash_cont_tokens": "78048b26c5552ac3"
},
"truncated": 0,
"non_truncated": 144,
"padded": 576,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_chemistry|5": {
"hashes": {
"hash_examples": "ce61a69c46d47aeb",
"hash_full_prompts": "9c1288940a4afb59",
"hash_input_tokens": "6d15ae51e4fb0734",
"hash_cont_tokens": "e27ea803720e4f81"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_computer_science|5": {
"hashes": {
"hash_examples": "32805b52d7d5daab",
"hash_full_prompts": "9522781d0cdf1a43",
"hash_input_tokens": "d067a9964676ea01",
"hash_cont_tokens": "00f531b5784e741a"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_mathematics|5": {
"hashes": {
"hash_examples": "55da1a0a0bd33722",
"hash_full_prompts": "72fe6f46a57e6ca4",
"hash_input_tokens": "cd2d6c5695665f54",
"hash_cont_tokens": "7a6c30f41cc94aa7"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_medicine|5": {
"hashes": {
"hash_examples": "c33e143163049176",
"hash_full_prompts": "dee0989b2c8993f4",
"hash_input_tokens": "976ce2b55b7907d5",
"hash_cont_tokens": "5f84bdb85e243e5d"
},
"truncated": 0,
"non_truncated": 173,
"padded": 692,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:college_physics|5": {
"hashes": {
"hash_examples": "ebdab1cdb7e555df",
"hash_full_prompts": "a1be6b64ea1948c3",
"hash_input_tokens": "2bf98ac7bc989c60",
"hash_cont_tokens": "f32a0cc41acb4bf8"
},
"truncated": 0,
"non_truncated": 102,
"padded": 408,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:computer_security|5": {
"hashes": {
"hash_examples": "a24fd7d08a560921",
"hash_full_prompts": "01bc3fdfdefe67a4",
"hash_input_tokens": "239fad08f7e25672",
"hash_cont_tokens": "a886b3552371a98b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:conceptual_physics|5": {
"hashes": {
"hash_examples": "8300977a79386993",
"hash_full_prompts": "b39315a8ada3ca79",
"hash_input_tokens": "8fd1fa091cf77da8",
"hash_cont_tokens": "6408f70f3d9ada31"
},
"truncated": 0,
"non_truncated": 235,
"padded": 940,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:econometrics|5": {
"hashes": {
"hash_examples": "ddde36788a04a46f",
"hash_full_prompts": "70bab37ca5fcc48f",
"hash_input_tokens": "75797ac68b074a88",
"hash_cont_tokens": "2fab100ce81d11e3"
},
"truncated": 0,
"non_truncated": 114,
"padded": 456,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:electrical_engineering|5": {
"hashes": {
"hash_examples": "acbc5def98c19b3f",
"hash_full_prompts": "86a4747481c11c61",
"hash_input_tokens": "d30b3949f1a869bc",
"hash_cont_tokens": "e75df8f470aa4973"
},
"truncated": 0,
"non_truncated": 145,
"padded": 580,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:elementary_mathematics|5": {
"hashes": {
"hash_examples": "146e61d07497a9bd",
"hash_full_prompts": "1fe56333735325fa",
"hash_input_tokens": "b14ababf1fdaf847",
"hash_cont_tokens": "4ea4b4978c1fb85a"
},
"truncated": 0,
"non_truncated": 378,
"padded": 1512,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:formal_logic|5": {
"hashes": {
"hash_examples": "8635216e1909a03f",
"hash_full_prompts": "cc83c1ede45f974c",
"hash_input_tokens": "0dee944c92ba09fd",
"hash_cont_tokens": "bd7b90f7fcc6628b"
},
"truncated": 0,
"non_truncated": 126,
"padded": 504,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:global_facts|5": {
"hashes": {
"hash_examples": "30b315aa6353ee47",
"hash_full_prompts": "3a2ec1e2785c69a5",
"hash_input_tokens": "5ba3e5396bf746e6",
"hash_cont_tokens": "a886b3552371a98b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_biology|5": {
"hashes": {
"hash_examples": "c9136373af2180de",
"hash_full_prompts": "27646a569cf2a6f8",
"hash_input_tokens": "4f3e8567ca1086f0",
"hash_cont_tokens": "d294ad795a4ba989"
},
"truncated": 0,
"non_truncated": 310,
"padded": 1240,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_chemistry|5": {
"hashes": {
"hash_examples": "b0661bfa1add6404",
"hash_full_prompts": "6905c6ca76f7b2b7",
"hash_input_tokens": "d06720f4af19fcde",
"hash_cont_tokens": "208aff39cfca671a"
},
"truncated": 0,
"non_truncated": 203,
"padded": 812,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_computer_science|5": {
"hashes": {
"hash_examples": "80fc1d623a3d665f",
"hash_full_prompts": "b80092241e8b6c06",
"hash_input_tokens": "4b42a8ce6184222f",
"hash_cont_tokens": "3b482b98e18c249b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_european_history|5": {
"hashes": {
"hash_examples": "854da6e5af0fe1a1",
"hash_full_prompts": "a3bc32a5dc022ce7",
"hash_input_tokens": "9829b92f11e38c39",
"hash_cont_tokens": "7b6f4c22b304c3cc"
},
"truncated": 0,
"non_truncated": 165,
"padded": 656,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_geography|5": {
"hashes": {
"hash_examples": "7dc963c7acd19ad8",
"hash_full_prompts": "53f91beae305905d",
"hash_input_tokens": "a6e83c8e9a37451f",
"hash_cont_tokens": "1a85c9e696d91a66"
},
"truncated": 0,
"non_truncated": 198,
"padded": 792,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_government_and_politics|5": {
"hashes": {
"hash_examples": "1f675dcdebc9758f",
"hash_full_prompts": "623fd7e3495f243f",
"hash_input_tokens": "70d3312474815a5e",
"hash_cont_tokens": "a47a4530b8790081"
},
"truncated": 0,
"non_truncated": 193,
"padded": 772,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_macroeconomics|5": {
"hashes": {
"hash_examples": "2fb32cf2d80f0b35",
"hash_full_prompts": "378ac13c8abb6c5f",
"hash_input_tokens": "f580d17a3214af15",
"hash_cont_tokens": "e71e7c6acf44c3e5"
},
"truncated": 0,
"non_truncated": 390,
"padded": 1560,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_mathematics|5": {
"hashes": {
"hash_examples": "fd6646fdb5d58a1f",
"hash_full_prompts": "14d34e0b34750627",
"hash_input_tokens": "361a779f3e9723b0",
"hash_cont_tokens": "0a886cdd21b224a6"
},
"truncated": 0,
"non_truncated": 270,
"padded": 1080,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_microeconomics|5": {
"hashes": {
"hash_examples": "2118f21f71d87d84",
"hash_full_prompts": "9ac09e5d4da991c9",
"hash_input_tokens": "b5bcfd3df743cee0",
"hash_cont_tokens": "a5f61d5beba13cc2"
},
"truncated": 0,
"non_truncated": 238,
"padded": 952,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_physics|5": {
"hashes": {
"hash_examples": "dc3ce06378548565",
"hash_full_prompts": "b4832a554d47d224",
"hash_input_tokens": "4caf36cb75ba8552",
"hash_cont_tokens": "c4135c191e57e8e6"
},
"truncated": 0,
"non_truncated": 151,
"padded": 604,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_psychology|5": {
"hashes": {
"hash_examples": "c8d1d98a40e11f2f",
"hash_full_prompts": "1e8cd27064546274",
"hash_input_tokens": "9f7a7525450c0b5b",
"hash_cont_tokens": "287bec936450f9c6"
},
"truncated": 0,
"non_truncated": 545,
"padded": 2180,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_statistics|5": {
"hashes": {
"hash_examples": "666c8759b98ee4ff",
"hash_full_prompts": "e05ab41077ec0afa",
"hash_input_tokens": "dbb29057733d0628",
"hash_cont_tokens": "7e446857c7d6d869"
},
"truncated": 0,
"non_truncated": 216,
"padded": 864,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_us_history|5": {
"hashes": {
"hash_examples": "95fef1c4b7d3f81e",
"hash_full_prompts": "a4b275996a416b4a",
"hash_input_tokens": "d2c8de257e0f76fa",
"hash_cont_tokens": "8b827fc7dfd3c1c5"
},
"truncated": 0,
"non_truncated": 204,
"padded": 816,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_world_history|5": {
"hashes": {
"hash_examples": "7e5085b6184b0322",
"hash_full_prompts": "8adf16361f0f320a",
"hash_input_tokens": "c5e010d66997c529",
"hash_cont_tokens": "74875ba92d6648af"
},
"truncated": 0,
"non_truncated": 237,
"padded": 948,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:human_aging|5": {
"hashes": {
"hash_examples": "c17333e7c7c10797",
"hash_full_prompts": "918d91a3141aac4d",
"hash_input_tokens": "05e6f5df9e81a997",
"hash_cont_tokens": "ca87074f1dc39668"
},
"truncated": 0,
"non_truncated": 223,
"padded": 892,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:human_sexuality|5": {
"hashes": {
"hash_examples": "4edd1e9045df5e3d",
"hash_full_prompts": "bcee39ecea32fcc8",
"hash_input_tokens": "9604ec0f5616cd26",
"hash_cont_tokens": "491a0ab53f54aeb9"
},
"truncated": 0,
"non_truncated": 131,
"padded": 524,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:international_law|5": {
"hashes": {
"hash_examples": "db2fa00d771a062a",
"hash_full_prompts": "ffe12a3b5bf350c2",
"hash_input_tokens": "727bb86160a250d9",
"hash_cont_tokens": "8c75cab59d57904d"
},
"truncated": 0,
"non_truncated": 121,
"padded": 484,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:jurisprudence|5": {
"hashes": {
"hash_examples": "e956f86b124076fe",
"hash_full_prompts": "b4293c3c08bebaf7",
"hash_input_tokens": "013c7941768fda49",
"hash_cont_tokens": "4c69d7671fa1ab1c"
},
"truncated": 0,
"non_truncated": 108,
"padded": 432,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:logical_fallacies|5": {
"hashes": {
"hash_examples": "956e0e6365ab79f1",
"hash_full_prompts": "8c1b7733e98cbe81",
"hash_input_tokens": "8e4f39d6d98efdc5",
"hash_cont_tokens": "57e78d3d09b7db81"
},
"truncated": 0,
"non_truncated": 163,
"padded": 652,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:machine_learning|5": {
"hashes": {
"hash_examples": "397997cc6f4d581e",
"hash_full_prompts": "24a206a1c639ab8d",
"hash_input_tokens": "202eb581c240b8f3",
"hash_cont_tokens": "8669a529b8d281b3"
},
"truncated": 0,
"non_truncated": 112,
"padded": 448,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:management|5": {
"hashes": {
"hash_examples": "2bcbe6f6ca63d740",
"hash_full_prompts": "77e1c79d988beecc",
"hash_input_tokens": "5349fe24ec6c3315",
"hash_cont_tokens": "79499fecb18f1cb1"
},
"truncated": 0,
"non_truncated": 103,
"padded": 412,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:marketing|5": {
"hashes": {
"hash_examples": "8ddb20d964a1b065",
"hash_full_prompts": "83cec2fa6b681d9d",
"hash_input_tokens": "2d35adb4e63840cc",
"hash_cont_tokens": "c5e9cd86b1a58fac"
},
"truncated": 0,
"non_truncated": 234,
"padded": 936,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:medical_genetics|5": {
"hashes": {
"hash_examples": "182a71f4763d2cea",
"hash_full_prompts": "195eb7ff99749730",
"hash_input_tokens": "012f4687f48a688b",
"hash_cont_tokens": "a886b3552371a98b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:miscellaneous|5": {
"hashes": {
"hash_examples": "4c404fdbb4ca57fc",
"hash_full_prompts": "33539955c9a96851",
"hash_input_tokens": "4089d35aa35d7c39",
"hash_cont_tokens": "8578b82c42cc7026"
},
"truncated": 0,
"non_truncated": 783,
"padded": 3132,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:moral_disputes|5": {
"hashes": {
"hash_examples": "60cbd2baa3fea5c9",
"hash_full_prompts": "009b7d0e7f819eff",
"hash_input_tokens": "92852a9aaaa68ac1",
"hash_cont_tokens": "26b0f808ec46464d"
},
"truncated": 0,
"non_truncated": 346,
"padded": 1384,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:moral_scenarios|5": {
"hashes": {
"hash_examples": "fd8b0431fbdd75ef",
"hash_full_prompts": "f6e63c9fb9d3bff0",
"hash_input_tokens": "05add168b9a55fbc",
"hash_cont_tokens": "24ce197370bb5b07"
},
"truncated": 0,
"non_truncated": 895,
"padded": 3580,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:nutrition|5": {
"hashes": {
"hash_examples": "71e55e2b829b6528",
"hash_full_prompts": "8294d5e3ad435377",
"hash_input_tokens": "742231f73012b1e2",
"hash_cont_tokens": "4745352f3c85c108"
},
"truncated": 0,
"non_truncated": 306,
"padded": 1224,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:philosophy|5": {
"hashes": {
"hash_examples": "a6d489a8d208fa4b",
"hash_full_prompts": "db68c0f4503e4793",
"hash_input_tokens": "cad5ce61a647bc46",
"hash_cont_tokens": "8c34ab2fa65c3b6e"
},
"truncated": 0,
"non_truncated": 311,
"padded": 1244,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:prehistory|5": {
"hashes": {
"hash_examples": "6cc50f032a19acaa",
"hash_full_prompts": "3972bcfa8c80e964",
"hash_input_tokens": "32a29cc657790558",
"hash_cont_tokens": "ab44396c679556f3"
},
"truncated": 0,
"non_truncated": 324,
"padded": 1296,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_accounting|5": {
"hashes": {
"hash_examples": "50f57ab32f5f6cea",
"hash_full_prompts": "25f0becc2483bd32",
"hash_input_tokens": "cacacb04b2a59c5a",
"hash_cont_tokens": "e3eb8866fd5dce77"
},
"truncated": 0,
"non_truncated": 282,
"padded": 1120,
"non_padded": 8,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_law|5": {
"hashes": {
"hash_examples": "a8fdc85c64f4b215",
"hash_full_prompts": "7a6f6c5706f00c7d",
"hash_input_tokens": "4b463ba71a1b650f",
"hash_cont_tokens": "2ae4ea5b043b942a"
},
"truncated": 0,
"non_truncated": 1534,
"padded": 6136,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_medicine|5": {
"hashes": {
"hash_examples": "c373a28a3050a73a",
"hash_full_prompts": "a74b6ac7c5c545d2",
"hash_input_tokens": "b2744b569a6a32fc",
"hash_cont_tokens": "fc82ad9eca8a7b98"
},
"truncated": 0,
"non_truncated": 272,
"padded": 1088,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_psychology|5": {
"hashes": {
"hash_examples": "bf5254fe818356af",
"hash_full_prompts": "c53fa139ec25f502",
"hash_input_tokens": "3775c049ee940ea3",
"hash_cont_tokens": "0cc4c9bd9df094ef"
},
"truncated": 0,
"non_truncated": 612,
"padded": 2448,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:public_relations|5": {
"hashes": {
"hash_examples": "b66d52e28e7d14e0",
"hash_full_prompts": "55b5eff05aa6bf13",
"hash_input_tokens": "be078a9672a35a48",
"hash_cont_tokens": "680235f5ede0b353"
},
"truncated": 0,
"non_truncated": 110,
"padded": 440,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:security_studies|5": {
"hashes": {
"hash_examples": "514c14feaf000ad9",
"hash_full_prompts": "6690ecdc054f7b0c",
"hash_input_tokens": "3022dd1ffded02a9",
"hash_cont_tokens": "2119792a6103cc24"
},
"truncated": 0,
"non_truncated": 245,
"padded": 980,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:sociology|5": {
"hashes": {
"hash_examples": "f6c9bc9d18c80870",
"hash_full_prompts": "945fbdd091c72d64",
"hash_input_tokens": "4762d7cdcc303fe1",
"hash_cont_tokens": "2178ff937c0c1a29"
},
"truncated": 0,
"non_truncated": 201,
"padded": 804,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:us_foreign_policy|5": {
"hashes": {
"hash_examples": "ed7b78629db6678f",
"hash_full_prompts": "ebba6ea6eca4ae53",
"hash_input_tokens": "880355a94d9fe5b1",
"hash_cont_tokens": "a886b3552371a98b"
},
"truncated": 0,
"non_truncated": 100,
"padded": 392,
"non_padded": 8,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:virology|5": {
"hashes": {
"hash_examples": "bc52ffdc3f9b994a",
"hash_full_prompts": "a2ee4984d6877fe3",
"hash_input_tokens": "65c8ea545351aa14",
"hash_cont_tokens": "ec5c187546c7c842"
},
"truncated": 0,
"non_truncated": 166,
"padded": 660,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:world_religions|5": {
"hashes": {
"hash_examples": "ecdb4a4f94f62930",
"hash_full_prompts": "a89c8dddd1d8ced0",
"hash_input_tokens": "0d36fd4bf3b571e1",
"hash_cont_tokens": "65bc44ac97c3227a"
},
"truncated": 0,
"non_truncated": 171,
"padded": 684,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|truthfulqa:mc|0": {
"hashes": {
"hash_examples": "36a6d90e75d92d4a",
"hash_full_prompts": "8d9ca0a8bd458a1c",
"hash_input_tokens": "89f619d8a8d594e0",
"hash_cont_tokens": "8eaf3b80e9854172"
},
"truncated": 0,
"non_truncated": 817,
"padded": 9996,
"non_padded": 0,
"effective_few_shots": 0.0,
"num_truncated_few_shots": 0
},
"leaderboard|winogrande|5": {
"hashes": {
"hash_examples": "087d5d1a1afd4c7b",
"hash_full_prompts": "35da55e47222e0e1",
"hash_input_tokens": "25973bc571721c55",
"hash_cont_tokens": "39be0da00f68561c"
},
"truncated": 0,
"non_truncated": 1267,
"padded": 2534,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|gsm8k|5": {
"hashes": {
"hash_examples": "0ed016e24e7512fd",
"hash_full_prompts": "f7ab209f6467841e",
"hash_input_tokens": "650eb62258948f16",
"hash_cont_tokens": "bd3608724a4cf68d"
},
"truncated": 1319,
"non_truncated": 0,
"padded": 487,
"non_padded": 832,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
}
},
"summary_general": {
"hashes": {
"hash_examples": "670666fa3a90ce5d",
"hash_full_prompts": "56c005e427046302",
"hash_input_tokens": "3d48c4bd6b9d4a57",
"hash_cont_tokens": "9c01009736bb767d"
},
"truncated": 1319,
"non_truncated": 27340,
"padded": 113953,
"non_padded": 919,
"num_truncated_few_shots": 0
}
}