edbeeching's picture
edbeeching HF staff
Upload eval_results/HuggingFaceH4/qwen-1.5-1.8b-odpo/v0.7/mmlu/results_2024-03-23T19-51-03.979000.json with huggingface_hub
eb1fbf1 verified
raw
history blame
80.3 kB
{
"config_general": {
"lighteval_sha": "?",
"num_fewshot_seeds": 1,
"override_batch_size": 1,
"max_samples": null,
"job_id": "",
"start_time": 252050.097602778,
"end_time": 252952.075214083,
"total_evaluation_time_secondes": "901.9776113049884",
"model_name": "HuggingFaceH4/qwen-1.5-1.8b-odpo",
"model_sha": "73e4cefec4c20538e28b597ea3618585d1b0e758",
"model_dtype": "torch.bfloat16",
"model_size": "3.79 GB",
"config": null
},
"results": {
"leaderboard|mmlu:abstract_algebra|5": {
"acc": 0.3,
"acc_stderr": 0.046056618647183814
},
"leaderboard|mmlu:anatomy|5": {
"acc": 0.3851851851851852,
"acc_stderr": 0.042039210401562783
},
"leaderboard|mmlu:astronomy|5": {
"acc": 0.5131578947368421,
"acc_stderr": 0.04067533136309172
},
"leaderboard|mmlu:business_ethics|5": {
"acc": 0.47,
"acc_stderr": 0.05016135580465919
},
"leaderboard|mmlu:clinical_knowledge|5": {
"acc": 0.5320754716981132,
"acc_stderr": 0.03070948699255655
},
"leaderboard|mmlu:college_biology|5": {
"acc": 0.4513888888888889,
"acc_stderr": 0.04161402398403279
},
"leaderboard|mmlu:college_chemistry|5": {
"acc": 0.37,
"acc_stderr": 0.048523658709391
},
"leaderboard|mmlu:college_computer_science|5": {
"acc": 0.42,
"acc_stderr": 0.049604496374885836
},
"leaderboard|mmlu:college_mathematics|5": {
"acc": 0.29,
"acc_stderr": 0.045604802157206845
},
"leaderboard|mmlu:college_medicine|5": {
"acc": 0.5144508670520231,
"acc_stderr": 0.03810871630454764
},
"leaderboard|mmlu:college_physics|5": {
"acc": 0.3137254901960784,
"acc_stderr": 0.04617034827006718
},
"leaderboard|mmlu:computer_security|5": {
"acc": 0.58,
"acc_stderr": 0.049604496374885836
},
"leaderboard|mmlu:conceptual_physics|5": {
"acc": 0.4,
"acc_stderr": 0.03202563076101737
},
"leaderboard|mmlu:econometrics|5": {
"acc": 0.2543859649122807,
"acc_stderr": 0.040969851398436716
},
"leaderboard|mmlu:electrical_engineering|5": {
"acc": 0.496551724137931,
"acc_stderr": 0.041665675771015785
},
"leaderboard|mmlu:elementary_mathematics|5": {
"acc": 0.37037037037037035,
"acc_stderr": 0.024870815251057075
},
"leaderboard|mmlu:formal_logic|5": {
"acc": 0.30158730158730157,
"acc_stderr": 0.04104947269903394
},
"leaderboard|mmlu:global_facts|5": {
"acc": 0.36,
"acc_stderr": 0.048241815132442176
},
"leaderboard|mmlu:high_school_biology|5": {
"acc": 0.5774193548387097,
"acc_stderr": 0.02810096472427264
},
"leaderboard|mmlu:high_school_chemistry|5": {
"acc": 0.39901477832512317,
"acc_stderr": 0.03445487686264716
},
"leaderboard|mmlu:high_school_computer_science|5": {
"acc": 0.46,
"acc_stderr": 0.05009082659620333
},
"leaderboard|mmlu:high_school_european_history|5": {
"acc": 0.5818181818181818,
"acc_stderr": 0.03851716319398395
},
"leaderboard|mmlu:high_school_geography|5": {
"acc": 0.5303030303030303,
"acc_stderr": 0.03555804051763929
},
"leaderboard|mmlu:high_school_government_and_politics|5": {
"acc": 0.6217616580310881,
"acc_stderr": 0.03499807276193338
},
"leaderboard|mmlu:high_school_macroeconomics|5": {
"acc": 0.4512820512820513,
"acc_stderr": 0.02523038123893484
},
"leaderboard|mmlu:high_school_mathematics|5": {
"acc": 0.34074074074074073,
"acc_stderr": 0.02889774874113114
},
"leaderboard|mmlu:high_school_microeconomics|5": {
"acc": 0.4789915966386555,
"acc_stderr": 0.032449808499900284
},
"leaderboard|mmlu:high_school_physics|5": {
"acc": 0.2781456953642384,
"acc_stderr": 0.03658603262763744
},
"leaderboard|mmlu:high_school_psychology|5": {
"acc": 0.6073394495412844,
"acc_stderr": 0.020937505161201093
},
"leaderboard|mmlu:high_school_statistics|5": {
"acc": 0.33796296296296297,
"acc_stderr": 0.03225941352631295
},
"leaderboard|mmlu:high_school_us_history|5": {
"acc": 0.5245098039215687,
"acc_stderr": 0.03505093194348798
},
"leaderboard|mmlu:high_school_world_history|5": {
"acc": 0.6497890295358649,
"acc_stderr": 0.031052391937584346
},
"leaderboard|mmlu:human_aging|5": {
"acc": 0.47085201793721976,
"acc_stderr": 0.03350073248773404
},
"leaderboard|mmlu:human_sexuality|5": {
"acc": 0.5419847328244275,
"acc_stderr": 0.04369802690578756
},
"leaderboard|mmlu:international_law|5": {
"acc": 0.6198347107438017,
"acc_stderr": 0.04431324501968432
},
"leaderboard|mmlu:jurisprudence|5": {
"acc": 0.5555555555555556,
"acc_stderr": 0.04803752235190193
},
"leaderboard|mmlu:logical_fallacies|5": {
"acc": 0.4723926380368098,
"acc_stderr": 0.03922378290610991
},
"leaderboard|mmlu:machine_learning|5": {
"acc": 0.2857142857142857,
"acc_stderr": 0.042878587513404565
},
"leaderboard|mmlu:management|5": {
"acc": 0.6893203883495146,
"acc_stderr": 0.04582124160161551
},
"leaderboard|mmlu:marketing|5": {
"acc": 0.7521367521367521,
"acc_stderr": 0.0282863240755644
},
"leaderboard|mmlu:medical_genetics|5": {
"acc": 0.55,
"acc_stderr": 0.04999999999999999
},
"leaderboard|mmlu:miscellaneous|5": {
"acc": 0.5925925925925926,
"acc_stderr": 0.017570705239256548
},
"leaderboard|mmlu:moral_disputes|5": {
"acc": 0.4797687861271676,
"acc_stderr": 0.026897049996382868
},
"leaderboard|mmlu:moral_scenarios|5": {
"acc": 0.24134078212290502,
"acc_stderr": 0.014310999547961452
},
"leaderboard|mmlu:nutrition|5": {
"acc": 0.5718954248366013,
"acc_stderr": 0.028332397483664257
},
"leaderboard|mmlu:philosophy|5": {
"acc": 0.5080385852090032,
"acc_stderr": 0.028394421370984538
},
"leaderboard|mmlu:prehistory|5": {
"acc": 0.4783950617283951,
"acc_stderr": 0.02779476010500874
},
"leaderboard|mmlu:professional_accounting|5": {
"acc": 0.3617021276595745,
"acc_stderr": 0.028663820147199495
},
"leaderboard|mmlu:professional_law|5": {
"acc": 0.3500651890482399,
"acc_stderr": 0.012182552313215179
},
"leaderboard|mmlu:professional_medicine|5": {
"acc": 0.4632352941176471,
"acc_stderr": 0.030290619180485694
},
"leaderboard|mmlu:professional_psychology|5": {
"acc": 0.41013071895424835,
"acc_stderr": 0.019898412717635882
},
"leaderboard|mmlu:public_relations|5": {
"acc": 0.5636363636363636,
"acc_stderr": 0.04750185058907296
},
"leaderboard|mmlu:security_studies|5": {
"acc": 0.5836734693877551,
"acc_stderr": 0.03155782816556165
},
"leaderboard|mmlu:sociology|5": {
"acc": 0.6318407960199005,
"acc_stderr": 0.03410410565495302
},
"leaderboard|mmlu:us_foreign_policy|5": {
"acc": 0.68,
"acc_stderr": 0.046882617226215034
},
"leaderboard|mmlu:virology|5": {
"acc": 0.42168674698795183,
"acc_stderr": 0.03844453181770917
},
"leaderboard|mmlu:world_religions|5": {
"acc": 0.5789473684210527,
"acc_stderr": 0.03786720706234214
},
"leaderboard|mmlu:_average|5": {
"acc": 0.4739771557932681,
"acc_stderr": 0.03628654923174377
}
},
"versions": {
"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
},
"config_tasks": {
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
},
"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
}
},
"summary_tasks": {
"leaderboard|mmlu:abstract_algebra|5": {
"hashes": {
"hash_examples": "4c76229e00c9c0e9",
"hash_full_prompts": "a45d01c3409c889c",
"hash_input_tokens": "d0571b6ffb835507",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "e245c6600e03cc32",
"hash_input_tokens": "8dd20ec55e9ad889",
"hash_cont_tokens": "263324e6ce7f9b36"
},
"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": "390f9bddf857ad04",
"hash_input_tokens": "81e8167c0c820f24",
"hash_cont_tokens": "18ba399c6801138e"
},
"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": "5504f893bc4f2fa1",
"hash_input_tokens": "668443aa86633b73",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "106ad0bab4b90b78",
"hash_input_tokens": "726c176b444e3c55",
"hash_cont_tokens": "9d7500060e0dd995"
},
"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": "59f9bdf2695cb226",
"hash_input_tokens": "7535ef44daca8b2e",
"hash_cont_tokens": "78a731af5d2f6472"
},
"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": "3cac9b759fcff7a0",
"hash_input_tokens": "e98bdaf1fa27ef3b",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "010b0cca35070130",
"hash_input_tokens": "40494a193cf906d1",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "511422eb9eefc773",
"hash_input_tokens": "2f512892d24b0086",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "c8cc1a82a51a046e",
"hash_input_tokens": "41ba4385551feaf3",
"hash_cont_tokens": "699c8eb24e3e446b"
},
"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": "e40721b5059c5818",
"hash_input_tokens": "1f357d859f4e78c2",
"hash_cont_tokens": "075997110cbe055e"
},
"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": "946c9be5964ac44a",
"hash_input_tokens": "def9fb5a2fab003a",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "506a4f6094cc40c9",
"hash_input_tokens": "b398cceaff8512f7",
"hash_cont_tokens": "f22daa6d4818086f"
},
"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": "4ed2703f27f1ed05",
"hash_input_tokens": "cf227ca8af4bc815",
"hash_cont_tokens": "26791a0b1941b4c4"
},
"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": "d8f4b3e11c23653c",
"hash_input_tokens": "295e278cbce7ed04",
"hash_cont_tokens": "3e336577994f6c0d"
},
"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": "256d111bd15647ff",
"hash_input_tokens": "2474a420d7b931ff",
"hash_cont_tokens": "1d6bbfa8a67327c8"
},
"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": "1171d04f3b1a11f5",
"hash_input_tokens": "f269941d7dabea05",
"hash_cont_tokens": "60508d85eb7693a4"
},
"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": "a7e56dbc074c7529",
"hash_input_tokens": "2036a912407797e6",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "ad6e859ed978e04a",
"hash_input_tokens": "1bc8ad087ca8f65b",
"hash_cont_tokens": "d236ce982144e65f"
},
"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": "6eb9c04bcc8a8f2a",
"hash_input_tokens": "ead708921e3a1c93",
"hash_cont_tokens": "59f93238ec5aead6"
},
"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": "8e51bc91c81cf8dd",
"hash_input_tokens": "604f88a2f17d5159",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "664a1f16c9f3195c",
"hash_input_tokens": "1dfe455312f2e6cf",
"hash_cont_tokens": "7b7414d6a5da3d91"
},
"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": "f3acf911f4023c8a",
"hash_input_tokens": "1985ba6f69f57d66",
"hash_cont_tokens": "1b66289e10988f84"
},
"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": "066254feaa3158ae",
"hash_input_tokens": "e6960d7d906ffb15",
"hash_cont_tokens": "5ab3c3415b1d3a55"
},
"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": "19a7fa502aa85c95",
"hash_input_tokens": "4ea59b7b8c4856d2",
"hash_cont_tokens": "2f5457058d187374"
},
"truncated": 0,
"non_truncated": 390,
"padded": 1557,
"non_padded": 3,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_mathematics|5": {
"hashes": {
"hash_examples": "fd6646fdb5d58a1f",
"hash_full_prompts": "4f704e369778b5b0",
"hash_input_tokens": "7d39279726411bb3",
"hash_cont_tokens": "e35137cb972e1918"
},
"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": "4350f9e2240f8010",
"hash_input_tokens": "2be919ac2e73f3d1",
"hash_cont_tokens": "f756093278ebb83e"
},
"truncated": 0,
"non_truncated": 238,
"padded": 908,
"non_padded": 44,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_physics|5": {
"hashes": {
"hash_examples": "dc3ce06378548565",
"hash_full_prompts": "5dc0d6831b66188f",
"hash_input_tokens": "9b2e07d3183ade24",
"hash_cont_tokens": "9cf883ebf1c82176"
},
"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": "af2b097da6d50365",
"hash_input_tokens": "a0f7b561c0177eb7",
"hash_cont_tokens": "bda0f77331ebb21a"
},
"truncated": 0,
"non_truncated": 545,
"padded": 2178,
"non_padded": 2,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:high_school_statistics|5": {
"hashes": {
"hash_examples": "666c8759b98ee4ff",
"hash_full_prompts": "c757694421d6d68d",
"hash_input_tokens": "0e353fc06f61e59b",
"hash_cont_tokens": "4d04f014105a0bad"
},
"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": "e34a028d0ddeec5e",
"hash_input_tokens": "7c7f37778e6ccda2",
"hash_cont_tokens": "f4590c58f12f2766"
},
"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": "1fa3d51392765601",
"hash_input_tokens": "71993d416140265b",
"hash_cont_tokens": "db6bcddd891df5d9"
},
"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": "cac900721f9a1a94",
"hash_input_tokens": "b0fa52119d4303e9",
"hash_cont_tokens": "25cec8d640319105"
},
"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": "0d6567bafee0a13c",
"hash_input_tokens": "879018ae27bdf5b0",
"hash_cont_tokens": "6778302b4a10b645"
},
"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": "d018f9116479795e",
"hash_input_tokens": "be4409fc3ab936f3",
"hash_cont_tokens": "9eb54e1a46032749"
},
"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": "1487e89a10ec58b7",
"hash_input_tokens": "888c2eab4655e553",
"hash_cont_tokens": "f17d9a372cfd66b1"
},
"truncated": 0,
"non_truncated": 108,
"padded": 420,
"non_padded": 12,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:logical_fallacies|5": {
"hashes": {
"hash_examples": "956e0e6365ab79f1",
"hash_full_prompts": "677785b2181f9243",
"hash_input_tokens": "8cee26c610ab13a1",
"hash_cont_tokens": "cf44a68f5bca9a96"
},
"truncated": 0,
"non_truncated": 163,
"padded": 648,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:machine_learning|5": {
"hashes": {
"hash_examples": "397997cc6f4d581e",
"hash_full_prompts": "769ee14a2aea49bb",
"hash_input_tokens": "1d8a213f41f96aee",
"hash_cont_tokens": "eace00d420f4f32c"
},
"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": "cb1ff9dac9582144",
"hash_input_tokens": "44ba435973dce9d1",
"hash_cont_tokens": "b7c51d0250c252d8"
},
"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": "9fc2114a187ad9a2",
"hash_input_tokens": "e86c7f7e4f27bcb7",
"hash_cont_tokens": "086fb63f8b1d1339"
},
"truncated": 0,
"non_truncated": 234,
"padded": 924,
"non_padded": 12,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:medical_genetics|5": {
"hashes": {
"hash_examples": "182a71f4763d2cea",
"hash_full_prompts": "46a616fa51878959",
"hash_input_tokens": "84615035f844ffa0",
"hash_cont_tokens": "00520b0ec06da34f"
},
"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": "0813e1be36dbaae1",
"hash_input_tokens": "f816152d0e727938",
"hash_cont_tokens": "1827274fa6537077"
},
"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": "1d14adebb9b62519",
"hash_input_tokens": "53082748f1b5e440",
"hash_cont_tokens": "472c223f6f28cfc7"
},
"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": "b80d3d236165e3de",
"hash_input_tokens": "b5318303d9c36325",
"hash_cont_tokens": "e90dade00a092f9e"
},
"truncated": 0,
"non_truncated": 895,
"padded": 3567,
"non_padded": 13,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:nutrition|5": {
"hashes": {
"hash_examples": "71e55e2b829b6528",
"hash_full_prompts": "2bfb18e5fab8dea7",
"hash_input_tokens": "2ed8503c57d6afbf",
"hash_cont_tokens": "128e0ec97d96b165"
},
"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": "e8c0d5b6dae3ccc8",
"hash_input_tokens": "7e8ad59a08a00f3b",
"hash_cont_tokens": "cbfd7829a3e0f082"
},
"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": "4a6a1d3ab1bf28e4",
"hash_input_tokens": "8bba5be57a92c467",
"hash_cont_tokens": "9c0cf5a2f71afa7e"
},
"truncated": 0,
"non_truncated": 324,
"padded": 1284,
"non_padded": 12,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_accounting|5": {
"hashes": {
"hash_examples": "50f57ab32f5f6cea",
"hash_full_prompts": "e60129bd2d82ffc6",
"hash_input_tokens": "236927cb4e27f724",
"hash_cont_tokens": "50f011c2453517ee"
},
"truncated": 0,
"non_truncated": 282,
"padded": 1128,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:professional_law|5": {
"hashes": {
"hash_examples": "a8fdc85c64f4b215",
"hash_full_prompts": "0dbb1d9b72dcea03",
"hash_input_tokens": "7958ac5eb01fed27",
"hash_cont_tokens": "73527e852c24186c"
},
"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": "5e040f9ca68b089e",
"hash_input_tokens": "f520600f7896a87b",
"hash_cont_tokens": "ceb7af5e2e789abc"
},
"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": "b386ecda8b87150e",
"hash_input_tokens": "fb3f225a047d0f0f",
"hash_cont_tokens": "8cfdced8a9667380"
},
"truncated": 0,
"non_truncated": 612,
"padded": 2428,
"non_padded": 20,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:public_relations|5": {
"hashes": {
"hash_examples": "b66d52e28e7d14e0",
"hash_full_prompts": "fe43562263e25677",
"hash_input_tokens": "9dfb929ef5e3362b",
"hash_cont_tokens": "f8327461a9cc5123"
},
"truncated": 0,
"non_truncated": 110,
"padded": 436,
"non_padded": 4,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:security_studies|5": {
"hashes": {
"hash_examples": "514c14feaf000ad9",
"hash_full_prompts": "27d4a2ac541ef4b9",
"hash_input_tokens": "f620744b07919b24",
"hash_cont_tokens": "c30b0c4d52c2875d"
},
"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": "c072ea7d1a1524f2",
"hash_input_tokens": "76d03f98f30dbe11",
"hash_cont_tokens": "eef4bd16d536fbd6"
},
"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": "341a97ca3e4d699d",
"hash_input_tokens": "f0b4b93f91f3d7f4",
"hash_cont_tokens": "00520b0ec06da34f"
},
"truncated": 0,
"non_truncated": 100,
"padded": 400,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:virology|5": {
"hashes": {
"hash_examples": "bc52ffdc3f9b994a",
"hash_full_prompts": "651d471e2eb8b5e9",
"hash_input_tokens": "1c7d23a204c7cbf6",
"hash_cont_tokens": "f5fc195e049353c0"
},
"truncated": 0,
"non_truncated": 166,
"padded": 664,
"non_padded": 0,
"effective_few_shots": 5.0,
"num_truncated_few_shots": 0
},
"leaderboard|mmlu:world_religions|5": {
"hashes": {
"hash_examples": "ecdb4a4f94f62930",
"hash_full_prompts": "3773f03542ce44a3",
"hash_input_tokens": "be42fd2c9cc2da08",
"hash_cont_tokens": "ada548665e87b1e0"
},
"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": "a5c8f2b7ff4f5ae2",
"hash_input_tokens": "917c40aba1546e12",
"hash_cont_tokens": "3672212ca582e2d0"
},
"truncated": 0,
"non_truncated": 14042,
"padded": 56038,
"non_padded": 130,
"num_truncated_few_shots": 0
}
}