lewtun's picture
lewtun HF staff
Upload eval_results/stabilityai/stablelm-zephyr-3b/main/mmlu/results_2024-03-05T21-42-00.735420.json with huggingface_hub
799732f verified
raw
history blame
78.1 kB
{
"config_general": {
"lighteval_sha": "?",
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null,
"job_id": "",
"start_time": 906482.381460705,
"end_time": 907202.984284406,
"total_evaluation_time_secondes": "720.6028237009887",
"model_name": "stabilityai/stablelm-zephyr-3b",
"model_sha": "8b471c751c0e78cb46cf9f47738dd0eb45392071",
"model_dtype": "torch.bfloat16",
"model_size": "5.22 GB",
"config": null
},
"results": {
"lighteval|mmlu:abstract_algebra|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814
},
"lighteval|mmlu:anatomy|5": {
"acc": 0.4,
"acc_stderr": 0.04232073695151589
},
"lighteval|mmlu:astronomy|5": {
"acc": 0.4276315789473684,
"acc_stderr": 0.04026097083296559
},
"lighteval|mmlu:business_ethics|5": {
"acc": 0.5,
"acc_stderr": 0.050251890762960605
},
"lighteval|mmlu:clinical_knowledge|5": {
"acc": 0.5056603773584906,
"acc_stderr": 0.030770900763851302
},
"lighteval|mmlu:college_biology|5": {
"acc": 0.3680555555555556,
"acc_stderr": 0.040329990539607195
},
"lighteval|mmlu:college_chemistry|5": {
"acc": 0.34,
"acc_stderr": 0.04760952285695235
},
"lighteval|mmlu:college_computer_science|5": {
"acc": 0.43,
"acc_stderr": 0.049756985195624284
},
"lighteval|mmlu:college_mathematics|5": {
"acc": 0.33,
"acc_stderr": 0.047258156262526045
},
"lighteval|mmlu:college_medicine|5": {
"acc": 0.4508670520231214,
"acc_stderr": 0.037940126746970296
},
"lighteval|mmlu:college_physics|5": {
"acc": 0.22549019607843138,
"acc_stderr": 0.041583075330832865
},
"lighteval|mmlu:computer_security|5": {
"acc": 0.55,
"acc_stderr": 0.04999999999999999
},
"lighteval|mmlu:conceptual_physics|5": {
"acc": 0.33191489361702126,
"acc_stderr": 0.03078373675774566
},
"lighteval|mmlu:econometrics|5": {
"acc": 0.3157894736842105,
"acc_stderr": 0.04372748290278008
},
"lighteval|mmlu:electrical_engineering|5": {
"acc": 0.41379310344827586,
"acc_stderr": 0.04104269211806232
},
"lighteval|mmlu:elementary_mathematics|5": {
"acc": 0.3386243386243386,
"acc_stderr": 0.024373197867983056
},
"lighteval|mmlu:formal_logic|5": {
"acc": 0.25396825396825395,
"acc_stderr": 0.03893259610604676
},
"lighteval|mmlu:global_facts|5": {
"acc": 0.37,
"acc_stderr": 0.04852365870939099
},
"lighteval|mmlu:high_school_biology|5": {
"acc": 0.5709677419354838,
"acc_stderr": 0.028156036538233193
},
"lighteval|mmlu:high_school_chemistry|5": {
"acc": 0.3054187192118227,
"acc_stderr": 0.032406615658684086
},
"lighteval|mmlu:high_school_computer_science|5": {
"acc": 0.47,
"acc_stderr": 0.05016135580465919
},
"lighteval|mmlu:high_school_european_history|5": {
"acc": 0.5575757575757576,
"acc_stderr": 0.03878372113711274
},
"lighteval|mmlu:high_school_geography|5": {
"acc": 0.5707070707070707,
"acc_stderr": 0.035265527246011986
},
"lighteval|mmlu:high_school_government_and_politics|5": {
"acc": 0.5751295336787565,
"acc_stderr": 0.035674713352125395
},
"lighteval|mmlu:high_school_macroeconomics|5": {
"acc": 0.37948717948717947,
"acc_stderr": 0.024603626924097406
},
"lighteval|mmlu:high_school_mathematics|5": {
"acc": 0.24444444444444444,
"acc_stderr": 0.026202766534652148
},
"lighteval|mmlu:high_school_microeconomics|5": {
"acc": 0.38235294117647056,
"acc_stderr": 0.03156663099215416
},
"lighteval|mmlu:high_school_physics|5": {
"acc": 0.2847682119205298,
"acc_stderr": 0.03684881521389023
},
"lighteval|mmlu:high_school_psychology|5": {
"acc": 0.6311926605504588,
"acc_stderr": 0.02068622756072956
},
"lighteval|mmlu:high_school_statistics|5": {
"acc": 0.3101851851851852,
"acc_stderr": 0.03154696285656629
},
"lighteval|mmlu:high_school_us_history|5": {
"acc": 0.5882352941176471,
"acc_stderr": 0.03454236585380609
},
"lighteval|mmlu:high_school_world_history|5": {
"acc": 0.620253164556962,
"acc_stderr": 0.031591887529658504
},
"lighteval|mmlu:human_aging|5": {
"acc": 0.49327354260089684,
"acc_stderr": 0.033554765962343545
},
"lighteval|mmlu:human_sexuality|5": {
"acc": 0.48854961832061067,
"acc_stderr": 0.043841400240780176
},
"lighteval|mmlu:international_law|5": {
"acc": 0.5206611570247934,
"acc_stderr": 0.04560456086387235
},
"lighteval|mmlu:jurisprudence|5": {
"acc": 0.5185185185185185,
"acc_stderr": 0.04830366024635331
},
"lighteval|mmlu:logical_fallacies|5": {
"acc": 0.4785276073619632,
"acc_stderr": 0.0392474687675113
},
"lighteval|mmlu:machine_learning|5": {
"acc": 0.36607142857142855,
"acc_stderr": 0.0457237235873743
},
"lighteval|mmlu:management|5": {
"acc": 0.6504854368932039,
"acc_stderr": 0.04721188506097172
},
"lighteval|mmlu:marketing|5": {
"acc": 0.6581196581196581,
"acc_stderr": 0.031075028526507762
},
"lighteval|mmlu:medical_genetics|5": {
"acc": 0.55,
"acc_stderr": 0.04999999999999999
},
"lighteval|mmlu:miscellaneous|5": {
"acc": 0.6028097062579821,
"acc_stderr": 0.017497905037159363
},
"lighteval|mmlu:moral_disputes|5": {
"acc": 0.4682080924855491,
"acc_stderr": 0.026864624366756646
},
"lighteval|mmlu:moral_scenarios|5": {
"acc": 0.25139664804469275,
"acc_stderr": 0.014508979453553977
},
"lighteval|mmlu:nutrition|5": {
"acc": 0.45098039215686275,
"acc_stderr": 0.028491993586171563
},
"lighteval|mmlu:philosophy|5": {
"acc": 0.4919614147909968,
"acc_stderr": 0.028394421370984545
},
"lighteval|mmlu:prehistory|5": {
"acc": 0.5061728395061729,
"acc_stderr": 0.027818623962583295
},
"lighteval|mmlu:professional_accounting|5": {
"acc": 0.35106382978723405,
"acc_stderr": 0.028473501272963764
},
"lighteval|mmlu:professional_law|5": {
"acc": 0.35658409387222945,
"acc_stderr": 0.01223364298927389
},
"lighteval|mmlu:professional_medicine|5": {
"acc": 0.40441176470588236,
"acc_stderr": 0.02981263070156974
},
"lighteval|mmlu:professional_psychology|5": {
"acc": 0.4542483660130719,
"acc_stderr": 0.020142974553795198
},
"lighteval|mmlu:public_relations|5": {
"acc": 0.5454545454545454,
"acc_stderr": 0.04769300568972745
},
"lighteval|mmlu:security_studies|5": {
"acc": 0.47346938775510206,
"acc_stderr": 0.03196412734523272
},
"lighteval|mmlu:sociology|5": {
"acc": 0.572139303482587,
"acc_stderr": 0.03498541988407795
},
"lighteval|mmlu:us_foreign_policy|5": {
"acc": 0.71,
"acc_stderr": 0.045604802157206845
},
"lighteval|mmlu:virology|5": {
"acc": 0.42771084337349397,
"acc_stderr": 0.038515976837185335
},
"lighteval|mmlu:world_religions|5": {
"acc": 0.6198830409356725,
"acc_stderr": 0.03722965741385539
},
"lighteval|mmlu:_average|5": {
"acc": 0.4518107712962454,
"acc_stderr": 0.03621674337602092
}
},
"versions": {
"lighteval|mmlu:abstract_algebra|5": 0,
"lighteval|mmlu:anatomy|5": 0,
"lighteval|mmlu:astronomy|5": 0,
"lighteval|mmlu:business_ethics|5": 0,
"lighteval|mmlu:clinical_knowledge|5": 0,
"lighteval|mmlu:college_biology|5": 0,
"lighteval|mmlu:college_chemistry|5": 0,
"lighteval|mmlu:college_computer_science|5": 0,
"lighteval|mmlu:college_mathematics|5": 0,
"lighteval|mmlu:college_medicine|5": 0,
"lighteval|mmlu:college_physics|5": 0,
"lighteval|mmlu:computer_security|5": 0,
"lighteval|mmlu:conceptual_physics|5": 0,
"lighteval|mmlu:econometrics|5": 0,
"lighteval|mmlu:electrical_engineering|5": 0,
"lighteval|mmlu:elementary_mathematics|5": 0,
"lighteval|mmlu:formal_logic|5": 0,
"lighteval|mmlu:global_facts|5": 0,
"lighteval|mmlu:high_school_biology|5": 0,
"lighteval|mmlu:high_school_chemistry|5": 0,
"lighteval|mmlu:high_school_computer_science|5": 0,
"lighteval|mmlu:high_school_european_history|5": 0,
"lighteval|mmlu:high_school_geography|5": 0,
"lighteval|mmlu:high_school_government_and_politics|5": 0,
"lighteval|mmlu:high_school_macroeconomics|5": 0,
"lighteval|mmlu:high_school_mathematics|5": 0,
"lighteval|mmlu:high_school_microeconomics|5": 0,
"lighteval|mmlu:high_school_physics|5": 0,
"lighteval|mmlu:high_school_psychology|5": 0,
"lighteval|mmlu:high_school_statistics|5": 0,
"lighteval|mmlu:high_school_us_history|5": 0,
"lighteval|mmlu:high_school_world_history|5": 0,
"lighteval|mmlu:human_aging|5": 0,
"lighteval|mmlu:human_sexuality|5": 0,
"lighteval|mmlu:international_law|5": 0,
"lighteval|mmlu:jurisprudence|5": 0,
"lighteval|mmlu:logical_fallacies|5": 0,
"lighteval|mmlu:machine_learning|5": 0,
"lighteval|mmlu:management|5": 0,
"lighteval|mmlu:marketing|5": 0,
"lighteval|mmlu:medical_genetics|5": 0,
"lighteval|mmlu:miscellaneous|5": 0,
"lighteval|mmlu:moral_disputes|5": 0,
"lighteval|mmlu:moral_scenarios|5": 0,
"lighteval|mmlu:nutrition|5": 0,
"lighteval|mmlu:philosophy|5": 0,
"lighteval|mmlu:prehistory|5": 0,
"lighteval|mmlu:professional_accounting|5": 0,
"lighteval|mmlu:professional_law|5": 0,
"lighteval|mmlu:professional_medicine|5": 0,
"lighteval|mmlu:professional_psychology|5": 0,
"lighteval|mmlu:public_relations|5": 0,
"lighteval|mmlu:security_studies|5": 0,
"lighteval|mmlu:sociology|5": 0,
"lighteval|mmlu:us_foreign_policy|5": 0,
"lighteval|mmlu:virology|5": 0,
"lighteval|mmlu:world_religions|5": 0
},
"config_tasks": {
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 135,
"effective_num_docs": 135
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 152,
"effective_num_docs": 152
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 265,
"effective_num_docs": 265
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 144,
"effective_num_docs": 144
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 173,
"effective_num_docs": 173
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 102,
"effective_num_docs": 102
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 235,
"effective_num_docs": 235
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 114,
"effective_num_docs": 114
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 145,
"effective_num_docs": 145
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 378,
"effective_num_docs": 378
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 126,
"effective_num_docs": 126
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 310,
"effective_num_docs": 310
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 203,
"effective_num_docs": 203
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 165,
"effective_num_docs": 165
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 198,
"effective_num_docs": 198
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 193,
"effective_num_docs": 193
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 390,
"effective_num_docs": 390
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 270,
"effective_num_docs": 270
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 238,
"effective_num_docs": 238
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 151,
"effective_num_docs": 151
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 545,
"effective_num_docs": 545
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 216,
"effective_num_docs": 216
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 204,
"effective_num_docs": 204
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 237,
"effective_num_docs": 237
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 223,
"effective_num_docs": 223
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 131,
"effective_num_docs": 131
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 121,
"effective_num_docs": 121
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 108,
"effective_num_docs": 108
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 163,
"effective_num_docs": 163
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 112,
"effective_num_docs": 112
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 103,
"effective_num_docs": 103
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 234,
"effective_num_docs": 234
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 783,
"effective_num_docs": 783
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 346,
"effective_num_docs": 346
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 895,
"effective_num_docs": 895
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 306,
"effective_num_docs": 306
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 311,
"effective_num_docs": 311
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 324,
"effective_num_docs": 324
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 282,
"effective_num_docs": 282
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 1534,
"effective_num_docs": 1534
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 272,
"effective_num_docs": 272
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 612,
"effective_num_docs": 612
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 110,
"effective_num_docs": 110
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 245,
"effective_num_docs": 245
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 201,
"effective_num_docs": 201
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 100,
"effective_num_docs": 100
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 166,
"effective_num_docs": 166
},
"lighteval|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": [
"lighteval",
"mmlu"
],
"original_num_docs": 171,
"effective_num_docs": 171
}
},
"summary_tasks": {
"lighteval|mmlu:abstract_algebra|5": {
"hashes": {
"hash_examples": "4c76229e00c9c0e9",
"hash_full_prompts": "7c9d9ba119b752af",
"hash_input_tokens": "75c7d54f6578e9fa",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:anatomy|5": {
"hashes": {
"hash_examples": "6a1f8104dccbd33b",
"hash_full_prompts": "631bdf6bc3f09d51",
"hash_input_tokens": "a26b05fcb6bed700",
"hash_cont_tokens": "decb7a6e57fe3ca3"
},
"truncated": 0,
"non_truncated": 135,
"padded": 540,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:astronomy|5": {
"hashes": {
"hash_examples": "1302effa3a76ce4c",
"hash_full_prompts": "da4c3751e1dd6326",
"hash_input_tokens": "7dd0e3fceaecc21c",
"hash_cont_tokens": "7ff0fe95d11430f4"
},
"truncated": 0,
"non_truncated": 152,
"padded": 608,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:business_ethics|5": {
"hashes": {
"hash_examples": "03cb8bce5336419a",
"hash_full_prompts": "b3c2ede0269b5d7a",
"hash_input_tokens": "861925f91888e927",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:clinical_knowledge|5": {
"hashes": {
"hash_examples": "ffbb9c7b2be257f9",
"hash_full_prompts": "da31d1e8dea61316",
"hash_input_tokens": "31d9ea62f21515c4",
"hash_cont_tokens": "f665edac0d9be625"
},
"truncated": 0,
"non_truncated": 265,
"padded": 1060,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_biology|5": {
"hashes": {
"hash_examples": "3ee77f176f38eb8e",
"hash_full_prompts": "0754a7a18e5bab3f",
"hash_input_tokens": "647d518c3ded39be",
"hash_cont_tokens": "4617991bb3d1351a"
},
"truncated": 0,
"non_truncated": 144,
"padded": 576,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_chemistry|5": {
"hashes": {
"hash_examples": "ce61a69c46d47aeb",
"hash_full_prompts": "1f84199594afc309",
"hash_input_tokens": "3e1ab5bc96ab8629",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_computer_science|5": {
"hashes": {
"hash_examples": "32805b52d7d5daab",
"hash_full_prompts": "e338460a75b194ca",
"hash_input_tokens": "6b8c8bf94166bfa4",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_mathematics|5": {
"hashes": {
"hash_examples": "55da1a0a0bd33722",
"hash_full_prompts": "f1d436b51a050ee0",
"hash_input_tokens": "1da67d18b741d3a2",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_medicine|5": {
"hashes": {
"hash_examples": "c33e143163049176",
"hash_full_prompts": "7bc815e341c46a75",
"hash_input_tokens": "2978db187297a1f6",
"hash_cont_tokens": "bd325b88c02348f1"
},
"truncated": 0,
"non_truncated": 173,
"padded": 692,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:college_physics|5": {
"hashes": {
"hash_examples": "ebdab1cdb7e555df",
"hash_full_prompts": "7418fe7c749f42ad",
"hash_input_tokens": "bb1414dac5a972c4",
"hash_cont_tokens": "e818f6ac32d68b15"
},
"truncated": 0,
"non_truncated": 102,
"padded": 408,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:computer_security|5": {
"hashes": {
"hash_examples": "a24fd7d08a560921",
"hash_full_prompts": "2998f22a584263c7",
"hash_input_tokens": "a62eb781cd42d3cf",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:conceptual_physics|5": {
"hashes": {
"hash_examples": "8300977a79386993",
"hash_full_prompts": "bf76ba09bd4d9188",
"hash_input_tokens": "1620d18b60f12256",
"hash_cont_tokens": "ed2202f924cddc4e"
},
"truncated": 0,
"non_truncated": 235,
"padded": 940,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:econometrics|5": {
"hashes": {
"hash_examples": "ddde36788a04a46f",
"hash_full_prompts": "4b5d05c7af133971",
"hash_input_tokens": "da7a4612c4545817",
"hash_cont_tokens": "792952748433f6d1"
},
"truncated": 0,
"non_truncated": 114,
"padded": 456,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:electrical_engineering|5": {
"hashes": {
"hash_examples": "acbc5def98c19b3f",
"hash_full_prompts": "435c82ba677eacce",
"hash_input_tokens": "55eb1d23c0b6b4ca",
"hash_cont_tokens": "799539fe7a7bd73d"
},
"truncated": 0,
"non_truncated": 145,
"padded": 580,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:elementary_mathematics|5": {
"hashes": {
"hash_examples": "146e61d07497a9bd",
"hash_full_prompts": "248a015237ddc9fe",
"hash_input_tokens": "55f29e974f92a33a",
"hash_cont_tokens": "bc61f0018e6517d5"
},
"truncated": 0,
"non_truncated": 378,
"padded": 1512,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:formal_logic|5": {
"hashes": {
"hash_examples": "8635216e1909a03f",
"hash_full_prompts": "1ba5a2de7d2cd8d5",
"hash_input_tokens": "986a57cfabdef747",
"hash_cont_tokens": "adcc4172d72cbdf2"
},
"truncated": 0,
"non_truncated": 126,
"padded": 504,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:global_facts|5": {
"hashes": {
"hash_examples": "30b315aa6353ee47",
"hash_full_prompts": "7d3f85dd426d8345",
"hash_input_tokens": "ed773ce4045ae786",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_biology|5": {
"hashes": {
"hash_examples": "c9136373af2180de",
"hash_full_prompts": "902b7a68fa61fc1f",
"hash_input_tokens": "f2a49937c39dfaf2",
"hash_cont_tokens": "7d9d3af2627a0493"
},
"truncated": 0,
"non_truncated": 310,
"padded": 1240,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_chemistry|5": {
"hashes": {
"hash_examples": "b0661bfa1add6404",
"hash_full_prompts": "6761eef4caf75655",
"hash_input_tokens": "8d03247e74644712",
"hash_cont_tokens": "e4d88f43dc166f96"
},
"truncated": 0,
"non_truncated": 203,
"padded": 812,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_computer_science|5": {
"hashes": {
"hash_examples": "80fc1d623a3d665f",
"hash_full_prompts": "82724051031d8a03",
"hash_input_tokens": "9e5ae7ff6e979f4f",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_european_history|5": {
"hashes": {
"hash_examples": "854da6e5af0fe1a1",
"hash_full_prompts": "58bb8a0e49ae7876",
"hash_input_tokens": "393aa37bf0b20089",
"hash_cont_tokens": "c6a5ba5bb82443be"
},
"truncated": 0,
"non_truncated": 165,
"padded": 656,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_geography|5": {
"hashes": {
"hash_examples": "7dc963c7acd19ad8",
"hash_full_prompts": "c757bb898063b587",
"hash_input_tokens": "bf438d1cce6f5147",
"hash_cont_tokens": "082ed9c44f51978d"
},
"truncated": 0,
"non_truncated": 198,
"padded": 792,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_government_and_politics|5": {
"hashes": {
"hash_examples": "1f675dcdebc9758f",
"hash_full_prompts": "863c5dfe4a2f2e59",
"hash_input_tokens": "0f349c66471d1b58",
"hash_cont_tokens": "04251113c9b13e3e"
},
"truncated": 0,
"non_truncated": 193,
"padded": 772,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_macroeconomics|5": {
"hashes": {
"hash_examples": "2fb32cf2d80f0b35",
"hash_full_prompts": "1486cdbb04a74586",
"hash_input_tokens": "fce1f68346ff104c",
"hash_cont_tokens": "20d8b70a24e326da"
},
"truncated": 0,
"non_truncated": 390,
"padded": 1560,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_mathematics|5": {
"hashes": {
"hash_examples": "fd6646fdb5d58a1f",
"hash_full_prompts": "32cc88b9a4f93484",
"hash_input_tokens": "aba35e5dd7b6a663",
"hash_cont_tokens": "e6486b2f60a4c9c5"
},
"truncated": 0,
"non_truncated": 270,
"padded": 1080,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_microeconomics|5": {
"hashes": {
"hash_examples": "2118f21f71d87d84",
"hash_full_prompts": "9a04289987a587ab",
"hash_input_tokens": "8661afcb1196f2b2",
"hash_cont_tokens": "bb7f88cdb94a1d06"
},
"truncated": 0,
"non_truncated": 238,
"padded": 941,
"non_padded": 11,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_physics|5": {
"hashes": {
"hash_examples": "dc3ce06378548565",
"hash_full_prompts": "fe54e7903284f607",
"hash_input_tokens": "2bc4290f1cb0ca26",
"hash_cont_tokens": "06e274c7d91752f6"
},
"truncated": 0,
"non_truncated": 151,
"padded": 594,
"non_padded": 10,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_psychology|5": {
"hashes": {
"hash_examples": "c8d1d98a40e11f2f",
"hash_full_prompts": "60281df9dcff5e18",
"hash_input_tokens": "75271862f49ee687",
"hash_cont_tokens": "f511e526872e16c6"
},
"truncated": 0,
"non_truncated": 545,
"padded": 2168,
"non_padded": 12,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_statistics|5": {
"hashes": {
"hash_examples": "666c8759b98ee4ff",
"hash_full_prompts": "550c19346d5b17a1",
"hash_input_tokens": "e1b46fdd3aabe928",
"hash_cont_tokens": "df3d595335ee8031"
},
"truncated": 0,
"non_truncated": 216,
"padded": 864,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_us_history|5": {
"hashes": {
"hash_examples": "95fef1c4b7d3f81e",
"hash_full_prompts": "e7722fac616f2bc7",
"hash_input_tokens": "b107620e8f0b6017",
"hash_cont_tokens": "0342cc2d391d1887"
},
"truncated": 0,
"non_truncated": 204,
"padded": 816,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:high_school_world_history|5": {
"hashes": {
"hash_examples": "7e5085b6184b0322",
"hash_full_prompts": "f7d557957068f832",
"hash_input_tokens": "13eceb74f8b84c17",
"hash_cont_tokens": "6e90de2a78358a9a"
},
"truncated": 0,
"non_truncated": 237,
"padded": 948,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:human_aging|5": {
"hashes": {
"hash_examples": "c17333e7c7c10797",
"hash_full_prompts": "ae274a35d2f1e859",
"hash_input_tokens": "90e88566a1ccf417",
"hash_cont_tokens": "93b9a45a73c2421a"
},
"truncated": 0,
"non_truncated": 223,
"padded": 892,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:human_sexuality|5": {
"hashes": {
"hash_examples": "4edd1e9045df5e3d",
"hash_full_prompts": "6bac1d457966897d",
"hash_input_tokens": "2c4c84837b6a0f69",
"hash_cont_tokens": "0c951883e05658a5"
},
"truncated": 0,
"non_truncated": 131,
"padded": 524,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:international_law|5": {
"hashes": {
"hash_examples": "db2fa00d771a062a",
"hash_full_prompts": "94a6166fd48d9c04",
"hash_input_tokens": "fe99ed0a9f9e7c58",
"hash_cont_tokens": "103f337a6d09c16d"
},
"truncated": 0,
"non_truncated": 121,
"padded": 484,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:jurisprudence|5": {
"hashes": {
"hash_examples": "e956f86b124076fe",
"hash_full_prompts": "e8598afd571b4398",
"hash_input_tokens": "38b698d460c70f7d",
"hash_cont_tokens": "ef67d4557cc9d27e"
},
"truncated": 0,
"non_truncated": 108,
"padded": 428,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:logical_fallacies|5": {
"hashes": {
"hash_examples": "956e0e6365ab79f1",
"hash_full_prompts": "6e85f5248cbb1ed3",
"hash_input_tokens": "6178a957d3082e0b",
"hash_cont_tokens": "29ad98c6a265e4b0"
},
"truncated": 0,
"non_truncated": 163,
"padded": 648,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:machine_learning|5": {
"hashes": {
"hash_examples": "397997cc6f4d581e",
"hash_full_prompts": "809aa23563504bd3",
"hash_input_tokens": "95c00eacd07d690d",
"hash_cont_tokens": "e8924508f2fa3911"
},
"truncated": 0,
"non_truncated": 112,
"padded": 448,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:management|5": {
"hashes": {
"hash_examples": "2bcbe6f6ca63d740",
"hash_full_prompts": "d4773d0f25c2f740",
"hash_input_tokens": "8126d4fa67a3ff80",
"hash_cont_tokens": "4e9536f766ed1acd"
},
"truncated": 0,
"non_truncated": 103,
"padded": 412,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:marketing|5": {
"hashes": {
"hash_examples": "8ddb20d964a1b065",
"hash_full_prompts": "3a4bca3d5678a20e",
"hash_input_tokens": "15f615ba0a66042d",
"hash_cont_tokens": "842caa104fbbd83a"
},
"truncated": 0,
"non_truncated": 234,
"padded": 936,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:medical_genetics|5": {
"hashes": {
"hash_examples": "182a71f4763d2cea",
"hash_full_prompts": "1d30abac80fbc825",
"hash_input_tokens": "5075165edc036ef8",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:miscellaneous|5": {
"hashes": {
"hash_examples": "4c404fdbb4ca57fc",
"hash_full_prompts": "3c35c5a7001c1556",
"hash_input_tokens": "c8880b49407d0d91",
"hash_cont_tokens": "106e2991446612f9"
},
"truncated": 0,
"non_truncated": 783,
"padded": 3132,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:moral_disputes|5": {
"hashes": {
"hash_examples": "60cbd2baa3fea5c9",
"hash_full_prompts": "b8386f82f58bdcb8",
"hash_input_tokens": "51262567d75bd68c",
"hash_cont_tokens": "5ec72693c51eb73a"
},
"truncated": 0,
"non_truncated": 346,
"padded": 1372,
"non_padded": 12,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:moral_scenarios|5": {
"hashes": {
"hash_examples": "fd8b0431fbdd75ef",
"hash_full_prompts": "ced5816c3c19a109",
"hash_input_tokens": "b7b035e6652c473c",
"hash_cont_tokens": "e87aff3328b2b886"
},
"truncated": 0,
"non_truncated": 895,
"padded": 3487,
"non_padded": 93,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:nutrition|5": {
"hashes": {
"hash_examples": "71e55e2b829b6528",
"hash_full_prompts": "e4811bc73fb55f93",
"hash_input_tokens": "34f448a7e3803e49",
"hash_cont_tokens": "f4976a9d8ee6e1a8"
},
"truncated": 0,
"non_truncated": 306,
"padded": 1224,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:philosophy|5": {
"hashes": {
"hash_examples": "a6d489a8d208fa4b",
"hash_full_prompts": "46563a2513cad867",
"hash_input_tokens": "4054204011f58a70",
"hash_cont_tokens": "154622d856e8f999"
},
"truncated": 0,
"non_truncated": 311,
"padded": 1244,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:prehistory|5": {
"hashes": {
"hash_examples": "6cc50f032a19acaa",
"hash_full_prompts": "902e10c1fd491a5e",
"hash_input_tokens": "5c5ae944b45be6ef",
"hash_cont_tokens": "4e2e5d12ba1e8e1d"
},
"truncated": 0,
"non_truncated": 324,
"padded": 1264,
"non_padded": 32,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:professional_accounting|5": {
"hashes": {
"hash_examples": "50f57ab32f5f6cea",
"hash_full_prompts": "39508d02873ff33d",
"hash_input_tokens": "80c53d6f4aab7861",
"hash_cont_tokens": "e7386873647b9650"
},
"truncated": 0,
"non_truncated": 282,
"padded": 1112,
"non_padded": 16,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:professional_law|5": {
"hashes": {
"hash_examples": "a8fdc85c64f4b215",
"hash_full_prompts": "b851131c935cbc94",
"hash_input_tokens": "a3a8685d520b83f2",
"hash_cont_tokens": "5d6b3b85a5450cce"
},
"truncated": 0,
"non_truncated": 1534,
"padded": 6136,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:professional_medicine|5": {
"hashes": {
"hash_examples": "c373a28a3050a73a",
"hash_full_prompts": "ff7105f07ce6ec3b",
"hash_input_tokens": "675231d040779f7e",
"hash_cont_tokens": "fe60425286ba5730"
},
"truncated": 0,
"non_truncated": 272,
"padded": 1088,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:professional_psychology|5": {
"hashes": {
"hash_examples": "bf5254fe818356af",
"hash_full_prompts": "cea1b4315e71e9d1",
"hash_input_tokens": "e9a2215b8db6c603",
"hash_cont_tokens": "657f9c0e15de6ca0"
},
"truncated": 0,
"non_truncated": 612,
"padded": 2440,
"non_padded": 8,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:public_relations|5": {
"hashes": {
"hash_examples": "b66d52e28e7d14e0",
"hash_full_prompts": "1b2b7726311215e3",
"hash_input_tokens": "fd73c575ca83af99",
"hash_cont_tokens": "e4c5fcac709f3a59"
},
"truncated": 0,
"non_truncated": 110,
"padded": 432,
"non_padded": 8,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:security_studies|5": {
"hashes": {
"hash_examples": "514c14feaf000ad9",
"hash_full_prompts": "7d17a8e20c60d97c",
"hash_input_tokens": "895c74db00c6a743",
"hash_cont_tokens": "a529372b15216169"
},
"truncated": 0,
"non_truncated": 245,
"padded": 980,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:sociology|5": {
"hashes": {
"hash_examples": "f6c9bc9d18c80870",
"hash_full_prompts": "ecca93b95e23c984",
"hash_input_tokens": "b8e4605b6d0d2bd5",
"hash_cont_tokens": "3705b7f2b83cfcbb"
},
"truncated": 0,
"non_truncated": 201,
"padded": 804,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:us_foreign_policy|5": {
"hashes": {
"hash_examples": "ed7b78629db6678f",
"hash_full_prompts": "13d6d2f5aff5be79",
"hash_input_tokens": "8c0ddc00cbe258e4",
"hash_cont_tokens": "873c8e846c423dcd"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:virology|5": {
"hashes": {
"hash_examples": "bc52ffdc3f9b994a",
"hash_full_prompts": "53db62b8ca08c2e4",
"hash_input_tokens": "72c0da01d3949de0",
"hash_cont_tokens": "ceee975befbadd57"
},
"truncated": 0,
"non_truncated": 166,
"padded": 664,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"lighteval|mmlu:world_religions|5": {
"hashes": {
"hash_examples": "ecdb4a4f94f62930",
"hash_full_prompts": "640f8a30cad5b30a",
"hash_input_tokens": "2ee21d840ebba8dc",
"hash_cont_tokens": "47af4cba3ad4d72b"
},
"truncated": 0,
"non_truncated": 171,
"padded": 684,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
}
},
"summary_general": {
"hashes": {
"hash_examples": "341a076d0beb7048",
"hash_full_prompts": "1c57e5e8895a9ccc",
"hash_input_tokens": "8ee3889bf1ffb521",
"hash_cont_tokens": "e993889140660bc5"
},
"truncated": 0,
"non_truncated": 14042,
"padded": 55954,
"non_padded": 214,
"num_truncated_few_shots": 0
}
}