| { | |
| "config_general": { | |
| "lighteval_sha": "?", | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": 0, | |
| "start_time": 766.649659, | |
| "end_time": 3137.206829604, | |
| "total_evaluation_time_secondes": "2370.557170604", | |
| "model_name": "Qwen/Qwen2-1.5B-Instruct", | |
| "model_sha": "ba1cf1846d7df0a0591d6c00649f57e798519da8", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "2.88 GB" | |
| }, | |
| "results": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "acc_norm": 0.236983842010772, | |
| "acc_norm_stderr": 0.018033866054896486 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "acc_norm": 0.2669138090824838, | |
| "acc_norm_stderr": 0.006022926590704126 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "acc_norm": 0.30502793296089387, | |
| "acc_norm_stderr": 0.015398723510916713 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { | |
| "acc_norm": 0.5866666666666667, | |
| "acc_norm_stderr": 0.05724401171194134 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { | |
| "acc_norm": 0.5333333333333333, | |
| "acc_norm_stderr": 0.04087046889188089 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "acc_norm": 0.32666666666666666, | |
| "acc_norm_stderr": 0.03842150156165227 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "acc_norm": 0.6741713570981863, | |
| "acc_norm_stderr": 0.005242008325469015 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "acc_norm": 0.5201000834028356, | |
| "acc_norm_stderr": 0.006452981642616404 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "acc_norm": 0.37732558139534883, | |
| "acc_norm_stderr": 0.011690974104866279 | |
| }, | |
| "community|arabic_exams|0": { | |
| "acc_norm": 0.35195530726256985, | |
| "acc_norm_stderr": 0.020628319224198808 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "acc_norm": 0.5675675675675675, | |
| "acc_norm_stderr": 0.057983774751431016 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "acc_norm": 0.4477124183006536, | |
| "acc_norm_stderr": 0.020116925347422425 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.41643835616438357, | |
| "acc_norm_stderr": 0.025838544110627464 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "acc_norm": 0.34102564102564104, | |
| "acc_norm_stderr": 0.02403548967633506 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "acc_norm": 0.5925925925925926, | |
| "acc_norm_stderr": 0.09636202008710973 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.031559720154890156 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "acc_norm": 0.37757274662881474, | |
| "acc_norm_stderr": 0.01291942818930566 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "acc_norm": 0.41379310344827586, | |
| "acc_norm_stderr": 0.0531089677299068 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "acc_norm": 0.4406779661016949, | |
| "acc_norm_stderr": 0.03238602905339785 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "acc_norm": 0.4521072796934866, | |
| "acc_norm_stderr": 0.030866105840801246 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "acc_norm": 0.7407407407407407, | |
| "acc_norm_stderr": 0.08594360757264022 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "acc_norm": 0.6157894736842106, | |
| "acc_norm_stderr": 0.03538097998767892 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "acc_norm": 0.609375, | |
| "acc_norm_stderr": 0.06146842128667525 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "acc_norm": 0.5928984310487201, | |
| "acc_norm_stderr": 0.014123712009109632 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "acc_norm": 0.45555555555555555, | |
| "acc_norm_stderr": 0.02628453114664512 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "acc_norm": 0.632183908045977, | |
| "acc_norm_stderr": 0.05199814559011102 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "acc_norm": 0.5474452554744526, | |
| "acc_norm_stderr": 0.04268118366696233 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "acc_norm": 0.4074074074074074, | |
| "acc_norm_stderr": 0.01672581049542393 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "acc_norm": 0.5465116279069767, | |
| "acc_norm_stderr": 0.03807016210250966 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "acc_norm": 0.5432098765432098, | |
| "acc_norm_stderr": 0.03925809696671447 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "acc_norm": 0.3699421965317919, | |
| "acc_norm_stderr": 0.01499228241697779 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "acc_norm": 0.5183823529411765, | |
| "acc_norm_stderr": 0.03035230339535196 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "acc_norm": 0.5087719298245614, | |
| "acc_norm_stderr": 0.06680502724442025 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "acc_norm": 0.3447368421052632, | |
| "acc_norm_stderr": 0.017251657872273226 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "acc_norm": 0.45320197044334976, | |
| "acc_norm_stderr": 0.03502544650845872 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "acc_norm": 0.37254901960784315, | |
| "acc_norm_stderr": 0.048108401480826346 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "acc_norm": 0.30672926447574334, | |
| "acc_norm_stderr": 0.018256549595117574 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "acc_norm": 0.46107784431137727, | |
| "acc_norm_stderr": 0.02731668718546301 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "acc_norm": 0.5336134453781513, | |
| "acc_norm_stderr": 0.03240501447690071 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "acc_norm": 0.5825825825825826, | |
| "acc_norm_stderr": 0.01560985111901792 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "acc_norm": 0.6178343949044586, | |
| "acc_norm_stderr": 0.02746563669913983 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "acc_norm": 0.6266666666666667, | |
| "acc_norm_stderr": 0.05622776504149495 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "acc_norm": 0.5036674816625917, | |
| "acc_norm_stderr": 0.02475302267035789 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "acc_norm": 0.4669421487603306, | |
| "acc_norm_stderr": 0.03213735939955238 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "acc_norm": 0.5565476190476191, | |
| "acc_norm_stderr": 0.027142650624533863 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "acc_norm": 0.4358974358974359, | |
| "acc_norm_stderr": 0.08044135838502685 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "acc_norm": 0.3411764705882353, | |
| "acc_norm_stderr": 0.02974796271097413 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "acc_norm": 0.44761904761904764, | |
| "acc_norm_stderr": 0.034395409440258 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "acc_norm": 0.4149377593360996, | |
| "acc_norm_stderr": 0.0318043770057176 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "acc_norm": 0.574468085106383, | |
| "acc_norm_stderr": 0.01863428323790881 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "acc_norm": 0.32, | |
| "acc_norm_stderr": 0.046882617226215034 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "acc_norm": 0.3333333333333333, | |
| "acc_norm_stderr": 0.04072314811876837 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "acc_norm": 0.42105263157894735, | |
| "acc_norm_stderr": 0.040179012759817494 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "acc_norm": 0.46, | |
| "acc_norm_stderr": 0.05009082659620332 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "acc_norm": 0.4188679245283019, | |
| "acc_norm_stderr": 0.03036505082911521 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "acc_norm": 0.3958333333333333, | |
| "acc_norm_stderr": 0.04089465449325582 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "acc_norm": 0.16, | |
| "acc_norm_stderr": 0.0368452949177471 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "acc_norm": 0.32, | |
| "acc_norm_stderr": 0.046882617226215034 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "acc_norm": 0.26, | |
| "acc_norm_stderr": 0.044084400227680794 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "acc_norm": 0.34104046242774566, | |
| "acc_norm_stderr": 0.036146654241808254 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "acc_norm": 0.20588235294117646, | |
| "acc_norm_stderr": 0.04023382273617746 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "acc_norm": 0.45, | |
| "acc_norm_stderr": 0.04999999999999999 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "acc_norm": 0.3191489361702128, | |
| "acc_norm_stderr": 0.03047297336338005 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "acc_norm": 0.23684210526315788, | |
| "acc_norm_stderr": 0.039994238792813365 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "acc_norm": 0.43448275862068964, | |
| "acc_norm_stderr": 0.04130740879555498 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "acc_norm": 0.3201058201058201, | |
| "acc_norm_stderr": 0.0240268463928735 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "acc_norm": 0.2222222222222222, | |
| "acc_norm_stderr": 0.037184890068181146 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "acc_norm": 0.32, | |
| "acc_norm_stderr": 0.04688261722621504 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "acc_norm": 0.35851035929714137, | |
| "acc_norm_stderr": 0.007767284850515419 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "acc_norm": 0.35582669322709165, | |
| "acc_norm_stderr": 0.007555754697223956 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "acc_norm": 0.44, | |
| "acc_norm_stderr": 0.04988876515698589 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "acc_norm": 0.33464180569185475, | |
| "acc_norm_stderr": 0.0052265174635088025 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.035623524993954825 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "acc_norm": 0.3005181347150259, | |
| "acc_norm_stderr": 0.033088185944157494 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "acc_norm": 0.36319612590799033, | |
| "acc_norm_stderr": 0.008945910125305448 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "acc_norm": 0.3111111111111111, | |
| "acc_norm_stderr": 0.028226446749683522 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "acc_norm": 0.36134453781512604, | |
| "acc_norm_stderr": 0.03120469122515002 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "acc_norm": 0.33112582781456956, | |
| "acc_norm_stderr": 0.038425817186598696 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "acc_norm": 0.3651376146788991, | |
| "acc_norm_stderr": 0.020642801454383998 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "acc_norm": 0.3518431001890359, | |
| "acc_norm_stderr": 0.007341639933802906 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "acc_norm": 0.37254901960784315, | |
| "acc_norm_stderr": 0.03393388584958404 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "acc_norm": 0.4767932489451477, | |
| "acc_norm_stderr": 0.032512152011410174 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "acc_norm": 0.3811659192825112, | |
| "acc_norm_stderr": 0.032596251184168264 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "acc_norm": 0.4198473282442748, | |
| "acc_norm_stderr": 0.04328577215262972 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "acc_norm": 0.512396694214876, | |
| "acc_norm_stderr": 0.045629515481807666 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "acc_norm": 0.4074074074074074, | |
| "acc_norm_stderr": 0.047500773411999854 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "acc_norm": 0.3558282208588957, | |
| "acc_norm_stderr": 0.03761521380046734 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "acc_norm": 0.2857142857142857, | |
| "acc_norm_stderr": 0.04287858751340456 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "acc_norm": 0.44660194174757284, | |
| "acc_norm_stderr": 0.04922424153458933 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "acc_norm": 0.5683760683760684, | |
| "acc_norm_stderr": 0.0324483553531149 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "acc_norm": 0.46, | |
| "acc_norm_stderr": 0.05009082659620332 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "acc_norm": 0.3611570247933884, | |
| "acc_norm_stderr": 0.009766234790044709 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "acc_norm": 0.407514450867052, | |
| "acc_norm_stderr": 0.0264545781469315 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "acc_norm": 0.24134078212290502, | |
| "acc_norm_stderr": 0.014310999547961459 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "acc_norm": 0.43790849673202614, | |
| "acc_norm_stderr": 0.02840830202033269 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "acc_norm": 0.40836012861736337, | |
| "acc_norm_stderr": 0.027917050748484634 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "acc_norm": 0.3734567901234568, | |
| "acc_norm_stderr": 0.026915003011380154 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "acc_norm": 0.35024368630926006, | |
| "acc_norm_stderr": 0.007101134604882401 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "acc_norm": 0.3332915988481282, | |
| "acc_norm_stderr": 0.005274915345672072 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "acc_norm": 0.3463653023824068, | |
| "acc_norm_stderr": 0.011763676940641649 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "acc_norm": 0.3591207536397374, | |
| "acc_norm_stderr": 0.00810681542252985 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "acc_norm": 0.37272727272727274, | |
| "acc_norm_stderr": 0.04631381319425463 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "acc_norm": 0.4775510204081633, | |
| "acc_norm_stderr": 0.03197694118713672 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "acc_norm": 0.47761194029850745, | |
| "acc_norm_stderr": 0.0353198793020873 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "acc_norm": 0.6, | |
| "acc_norm_stderr": 0.049236596391733084 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "acc_norm": 0.3373493975903614, | |
| "acc_norm_stderr": 0.0368078369072758 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "acc_norm": 0.42105263157894735, | |
| "acc_norm_stderr": 0.037867207062342145 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "acc_norm": 0.315359477124183, | |
| "acc_norm_stderr": 0.018798086284886883 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.3232876712328767, | |
| "acc_norm_stderr": 0.0245157917743514 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "acc_norm": 0.7, | |
| "acc_norm_stderr": 0.05966005392134928 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "acc_norm": 0.7169811320754716, | |
| "acc_norm_stderr": 0.062468328640514804 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "acc_norm": 0.8157894736842105, | |
| "acc_norm_stderr": 0.044762634463765154 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "acc_norm": 0.8260869565217391, | |
| "acc_norm_stderr": 0.045964707814863004 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "acc_norm": 0.6986301369863014, | |
| "acc_norm_stderr": 0.05407634375491785 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "acc_norm": 0.7192982456140351, | |
| "acc_norm_stderr": 0.06004585739704728 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "acc_norm": 0.47435897435897434, | |
| "acc_norm_stderr": 0.056905314133886616 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "acc_norm": 0.5636363636363636, | |
| "acc_norm_stderr": 0.06748805288278813 | |
| }, | |
| "community|alghafa:_average|0": { | |
| "acc_norm": 0.42524325251302075, | |
| "acc_norm_stderr": 0.022153051377215946 | |
| }, | |
| "community|arabic_mmlu:_average|0": { | |
| "acc_norm": 0.4919487376430266, | |
| "acc_norm_stderr": 0.036649617556886754 | |
| }, | |
| "community|arabic_mmlu_ht:_average|0": { | |
| "acc_norm": 0.37375085267387104, | |
| "acc_norm_stderr": 0.03242791181239233 | |
| }, | |
| "community|madinah_qa:_average|0": { | |
| "acc_norm": 0.31932357417852986, | |
| "acc_norm_stderr": 0.02165693902961914 | |
| }, | |
| "community|aratrust:_average|0": { | |
| "acc_norm": 0.689347660359637, | |
| "acc_norm_stderr": 0.05642141162614151 | |
| }, | |
| "all": { | |
| "acc_norm": 0.4201792645538397, | |
| "acc_norm_stderr": 0.03282289298403866, | |
| "f1": 0.6805890837976541, | |
| "f1_stderr": 0.056545566862291105 | |
| }, | |
| "community|alrage_qa|0": { | |
| "llm_as_judge": 0.5478632478632486, | |
| "llm_as_judge_stderr": 0.00017310745688187666 | |
| } | |
| }, | |
| "versions": { | |
| "community|alghafa:mcq_exams_test_ar|0": 0, | |
| "community|alghafa:meta_ar_dialects|0": 0, | |
| "community|alghafa:meta_ar_msa|0": 0, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": 0, | |
| "community|alghafa:multiple_choice_sentiment_task|0": 0, | |
| "community|arabic_exams|0": 0, | |
| "community|arabic_mmlu:Accounting (University)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (General)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": 0, | |
| "community|arabic_mmlu:Biology (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (High School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (University)|0": 0, | |
| "community|arabic_mmlu:Driving Test|0": 0, | |
| "community|arabic_mmlu:Economics (High School)|0": 0, | |
| "community|arabic_mmlu:Economics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Economics (University)|0": 0, | |
| "community|arabic_mmlu:General Knowledge|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": 0, | |
| "community|arabic_mmlu:Geography (High School)|0": 0, | |
| "community|arabic_mmlu:Geography (Middle School)|0": 0, | |
| "community|arabic_mmlu:Geography (Primary School)|0": 0, | |
| "community|arabic_mmlu:History (High School)|0": 0, | |
| "community|arabic_mmlu:History (Middle School)|0": 0, | |
| "community|arabic_mmlu:History (Primary School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, | |
| "community|arabic_mmlu:Law (Professional)|0": 0, | |
| "community|arabic_mmlu:Management (University)|0": 0, | |
| "community|arabic_mmlu:Math (Primary School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Philosophy (High School)|0": 0, | |
| "community|arabic_mmlu:Physics (High School)|0": 0, | |
| "community|arabic_mmlu:Political Science (University)|0": 0, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": 0, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": 0, | |
| "community|arabic_mmlu_ht:anatomy|0": 0, | |
| "community|arabic_mmlu_ht:astronomy|0": 0, | |
| "community|arabic_mmlu_ht:business_ethics|0": 0, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": 0, | |
| "community|arabic_mmlu_ht:college_biology|0": 0, | |
| "community|arabic_mmlu_ht:college_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:college_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:college_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:college_medicine|0": 0, | |
| "community|arabic_mmlu_ht:college_physics|0": 0, | |
| "community|arabic_mmlu_ht:computer_security|0": 0, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": 0, | |
| "community|arabic_mmlu_ht:econometrics|0": 0, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": 0, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:formal_logic|0": 0, | |
| "community|arabic_mmlu_ht:global_facts|0": 0, | |
| "community|arabic_mmlu_ht:high_school_biology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_geography|0": 0, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_physics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": 0, | |
| "community|arabic_mmlu_ht:human_aging|0": 0, | |
| "community|arabic_mmlu_ht:human_sexuality|0": 0, | |
| "community|arabic_mmlu_ht:international_law|0": 0, | |
| "community|arabic_mmlu_ht:jurisprudence|0": 0, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": 0, | |
| "community|arabic_mmlu_ht:machine_learning|0": 0, | |
| "community|arabic_mmlu_ht:management|0": 0, | |
| "community|arabic_mmlu_ht:marketing|0": 0, | |
| "community|arabic_mmlu_ht:medical_genetics|0": 0, | |
| "community|arabic_mmlu_ht:miscellaneous|0": 0, | |
| "community|arabic_mmlu_ht:moral_disputes|0": 0, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": 0, | |
| "community|arabic_mmlu_ht:nutrition|0": 0, | |
| "community|arabic_mmlu_ht:philosophy|0": 0, | |
| "community|arabic_mmlu_ht:prehistory|0": 0, | |
| "community|arabic_mmlu_ht:professional_accounting|0": 0, | |
| "community|arabic_mmlu_ht:professional_law|0": 0, | |
| "community|arabic_mmlu_ht:professional_medicine|0": 0, | |
| "community|arabic_mmlu_ht:professional_psychology|0": 0, | |
| "community|arabic_mmlu_ht:public_relations|0": 0, | |
| "community|arabic_mmlu_ht:security_studies|0": 0, | |
| "community|arabic_mmlu_ht:sociology|0": 0, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": 0, | |
| "community|arabic_mmlu_ht:virology|0": 0, | |
| "community|arabic_mmlu_ht:world_religions|0": 0, | |
| "community|aratrust:Ethics|0": 0, | |
| "community|aratrust:Illegal|0": 0, | |
| "community|aratrust:MentalHealth|0": 0, | |
| "community|aratrust:Offensive|0": 0, | |
| "community|aratrust:PhysicalHealth|0": 0, | |
| "community|aratrust:Privacy|0": 0, | |
| "community|aratrust:Trustfulness|0": 0, | |
| "community|aratrust:Unfairness|0": 0, | |
| "community|madinah_qa:Arabic Language (General)|0": 0, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": 0, | |
| "community|alrage_qa|0": 0 | |
| }, | |
| "config_tasks": { | |
| "community|alghafa:mcq_exams_test_ar": { | |
| "name": "alghafa:mcq_exams_test_ar", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "mcq_exams_test_ar", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 557, | |
| "effective_num_docs": 557, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects": { | |
| "name": "alghafa:meta_ar_dialects", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_dialects", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5395, | |
| "effective_num_docs": 5395, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa": { | |
| "name": "alghafa:meta_ar_msa", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_msa", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task": { | |
| "name": "alghafa:multiple_choice_facts_truefalse_balanced_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_facts_truefalse_balanced_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_soqal_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_soqal_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7995, | |
| "effective_num_docs": 7995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5995, | |
| "effective_num_docs": 5995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task": { | |
| "name": "alghafa:multiple_choice_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1720, | |
| "effective_num_docs": 1720, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_exams": { | |
| "name": "arabic_exams", | |
| "prompt_function": "arabic_exams_pfn", | |
| "hf_repo": "OALL/Arabic_EXAMS", | |
| "hf_subset": "default", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": null, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 537, | |
| "effective_num_docs": 537, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)": { | |
| "name": "arabic_mmlu:Accounting (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Accounting (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 74, | |
| "effective_num_docs": 74, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)": { | |
| "name": "arabic_mmlu:Arabic Language (General)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)": { | |
| "name": "arabic_mmlu:Arabic Language (Grammar)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)": { | |
| "name": "arabic_mmlu:Arabic Language (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 390, | |
| "effective_num_docs": 390, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)": { | |
| "name": "arabic_mmlu:Arabic Language (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)": { | |
| "name": "arabic_mmlu:Arabic Language (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 252, | |
| "effective_num_docs": 252, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)": { | |
| "name": "arabic_mmlu:Biology (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Biology (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1409, | |
| "effective_num_docs": 1409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)": { | |
| "name": "arabic_mmlu:Civics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)": { | |
| "name": "arabic_mmlu:Civics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 236, | |
| "effective_num_docs": 236, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)": { | |
| "name": "arabic_mmlu:Computer Science (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 261, | |
| "effective_num_docs": 261, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)": { | |
| "name": "arabic_mmlu:Computer Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)": { | |
| "name": "arabic_mmlu:Computer Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 190, | |
| "effective_num_docs": 190, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)": { | |
| "name": "arabic_mmlu:Computer Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 64, | |
| "effective_num_docs": 64, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test": { | |
| "name": "arabic_mmlu:Driving Test", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Driving Test", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1211, | |
| "effective_num_docs": 1211, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)": { | |
| "name": "arabic_mmlu:Economics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 360, | |
| "effective_num_docs": 360, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)": { | |
| "name": "arabic_mmlu:Economics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)": { | |
| "name": "arabic_mmlu:Economics (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 137, | |
| "effective_num_docs": 137, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge": { | |
| "name": "arabic_mmlu:General Knowledge", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 864, | |
| "effective_num_docs": 864, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)": { | |
| "name": "arabic_mmlu:General Knowledge (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 172, | |
| "effective_num_docs": 172, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)": { | |
| "name": "arabic_mmlu:General Knowledge (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 162, | |
| "effective_num_docs": 162, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)": { | |
| "name": "arabic_mmlu:Geography (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1038, | |
| "effective_num_docs": 1038, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)": { | |
| "name": "arabic_mmlu:Geography (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 272, | |
| "effective_num_docs": 272, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)": { | |
| "name": "arabic_mmlu:Geography (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)": { | |
| "name": "arabic_mmlu:History (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 760, | |
| "effective_num_docs": 760, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)": { | |
| "name": "arabic_mmlu:History (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 203, | |
| "effective_num_docs": 203, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)": { | |
| "name": "arabic_mmlu:History (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies": { | |
| "name": "arabic_mmlu:Islamic Studies", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 639, | |
| "effective_num_docs": 639, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)": { | |
| "name": "arabic_mmlu:Islamic Studies (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 334, | |
| "effective_num_docs": 334, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 999, | |
| "effective_num_docs": 999, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)": { | |
| "name": "arabic_mmlu:Law (Professional)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Law (Professional)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 314, | |
| "effective_num_docs": 314, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)": { | |
| "name": "arabic_mmlu:Management (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Management (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)": { | |
| "name": "arabic_mmlu:Math (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Math (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 409, | |
| "effective_num_docs": 409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)": { | |
| "name": "arabic_mmlu:Natural Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 242, | |
| "effective_num_docs": 242, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)": { | |
| "name": "arabic_mmlu:Natural Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 336, | |
| "effective_num_docs": 336, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)": { | |
| "name": "arabic_mmlu:Philosophy (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Philosophy (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 39, | |
| "effective_num_docs": 39, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)": { | |
| "name": "arabic_mmlu:Physics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Physics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 255, | |
| "effective_num_docs": 255, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)": { | |
| "name": "arabic_mmlu:Political Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Political Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 210, | |
| "effective_num_docs": 210, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)": { | |
| "name": "arabic_mmlu:Social Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 241, | |
| "effective_num_docs": 241, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)": { | |
| "name": "arabic_mmlu:Social Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 705, | |
| "effective_num_docs": 705, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra": { | |
| "name": "arabic_mmlu_ht:abstract_algebra", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "abstract_algebra", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy": { | |
| "name": "arabic_mmlu_ht:anatomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "anatomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 135, | |
| "effective_num_docs": 135, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy": { | |
| "name": "arabic_mmlu_ht:astronomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "astronomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 152, | |
| "effective_num_docs": 152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics": { | |
| "name": "arabic_mmlu_ht:business_ethics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "business_ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge": { | |
| "name": "arabic_mmlu_ht:clinical_knowledge", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "clinical_knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 265, | |
| "effective_num_docs": 265, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology": { | |
| "name": "arabic_mmlu_ht:college_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 144, | |
| "effective_num_docs": 144, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry": { | |
| "name": "arabic_mmlu_ht:college_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science": { | |
| "name": "arabic_mmlu_ht:college_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics": { | |
| "name": "arabic_mmlu_ht:college_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine": { | |
| "name": "arabic_mmlu_ht:college_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 173, | |
| "effective_num_docs": 173, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics": { | |
| "name": "arabic_mmlu_ht:college_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security": { | |
| "name": "arabic_mmlu_ht:computer_security", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "computer_security", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics": { | |
| "name": "arabic_mmlu_ht:conceptual_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "conceptual_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 235, | |
| "effective_num_docs": 235, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics": { | |
| "name": "arabic_mmlu_ht:econometrics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "econometrics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 114, | |
| "effective_num_docs": 114, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering": { | |
| "name": "arabic_mmlu_ht:electrical_engineering", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "electrical_engineering", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 145, | |
| "effective_num_docs": 145, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics": { | |
| "name": "arabic_mmlu_ht:elementary_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "elementary_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 378, | |
| "effective_num_docs": 378, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic": { | |
| "name": "arabic_mmlu_ht:formal_logic", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "formal_logic", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 126, | |
| "effective_num_docs": 126, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts": { | |
| "name": "arabic_mmlu_ht:global_facts", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "global_facts", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology": { | |
| "name": "arabic_mmlu_ht:high_school_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3813, | |
| "effective_num_docs": 3813, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry": { | |
| "name": "arabic_mmlu_ht:high_school_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4016, | |
| "effective_num_docs": 4016, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science": { | |
| "name": "arabic_mmlu_ht:high_school_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history": { | |
| "name": "arabic_mmlu_ht:high_school_european_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_european_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 8152, | |
| "effective_num_docs": 8152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography": { | |
| "name": "arabic_mmlu_ht:high_school_geography", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_geography", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 198, | |
| "effective_num_docs": 198, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics": { | |
| "name": "arabic_mmlu_ht:high_school_government_and_politics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_government_and_politics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 193, | |
| "effective_num_docs": 193, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_macroeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_macroeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2891, | |
| "effective_num_docs": 2891, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics": { | |
| "name": "arabic_mmlu_ht:high_school_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 270, | |
| "effective_num_docs": 270, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_microeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_microeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics": { | |
| "name": "arabic_mmlu_ht:high_school_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 151, | |
| "effective_num_docs": 151, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology": { | |
| "name": "arabic_mmlu_ht:high_school_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 545, | |
| "effective_num_docs": 545, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics": { | |
| "name": "arabic_mmlu_ht:high_school_statistics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_statistics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4232, | |
| "effective_num_docs": 4232, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history": { | |
| "name": "arabic_mmlu_ht:high_school_us_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_us_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 204, | |
| "effective_num_docs": 204, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history": { | |
| "name": "arabic_mmlu_ht:high_school_world_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_world_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 237, | |
| "effective_num_docs": 237, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging": { | |
| "name": "arabic_mmlu_ht:human_aging", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_aging", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 223, | |
| "effective_num_docs": 223, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality": { | |
| "name": "arabic_mmlu_ht:human_sexuality", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_sexuality", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 131, | |
| "effective_num_docs": 131, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law": { | |
| "name": "arabic_mmlu_ht:international_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "international_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 121, | |
| "effective_num_docs": 121, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence": { | |
| "name": "arabic_mmlu_ht:jurisprudence", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "jurisprudence", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 108, | |
| "effective_num_docs": 108, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies": { | |
| "name": "arabic_mmlu_ht:logical_fallacies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "logical_fallacies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 163, | |
| "effective_num_docs": 163, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning": { | |
| "name": "arabic_mmlu_ht:machine_learning", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "machine_learning", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 112, | |
| "effective_num_docs": 112, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management": { | |
| "name": "arabic_mmlu_ht:management", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "management", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 103, | |
| "effective_num_docs": 103, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing": { | |
| "name": "arabic_mmlu_ht:marketing", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "marketing", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 234, | |
| "effective_num_docs": 234, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics": { | |
| "name": "arabic_mmlu_ht:medical_genetics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "medical_genetics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous": { | |
| "name": "arabic_mmlu_ht:miscellaneous", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "miscellaneous", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2420, | |
| "effective_num_docs": 2420, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes": { | |
| "name": "arabic_mmlu_ht:moral_disputes", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_disputes", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 346, | |
| "effective_num_docs": 346, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios": { | |
| "name": "arabic_mmlu_ht:moral_scenarios", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_scenarios", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition": { | |
| "name": "arabic_mmlu_ht:nutrition", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "nutrition", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 306, | |
| "effective_num_docs": 306, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy": { | |
| "name": "arabic_mmlu_ht:philosophy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "philosophy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 311, | |
| "effective_num_docs": 311, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory": { | |
| "name": "arabic_mmlu_ht:prehistory", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "prehistory", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 324, | |
| "effective_num_docs": 324, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting": { | |
| "name": "arabic_mmlu_ht:professional_accounting", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_accounting", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4514, | |
| "effective_num_docs": 4514, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law": { | |
| "name": "arabic_mmlu_ht:professional_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7987, | |
| "effective_num_docs": 7987, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine": { | |
| "name": "arabic_mmlu_ht:professional_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1637, | |
| "effective_num_docs": 1637, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology": { | |
| "name": "arabic_mmlu_ht:professional_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3503, | |
| "effective_num_docs": 3503, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations": { | |
| "name": "arabic_mmlu_ht:public_relations", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "public_relations", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 110, | |
| "effective_num_docs": 110, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies": { | |
| "name": "arabic_mmlu_ht:security_studies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "security_studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 245, | |
| "effective_num_docs": 245, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology": { | |
| "name": "arabic_mmlu_ht:sociology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "sociology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 201, | |
| "effective_num_docs": 201, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy": { | |
| "name": "arabic_mmlu_ht:us_foreign_policy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "us_foreign_policy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology": { | |
| "name": "arabic_mmlu_ht:virology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "virology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 166, | |
| "effective_num_docs": 166, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions": { | |
| "name": "arabic_mmlu_ht:world_religions", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "world_religions", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 171, | |
| "effective_num_docs": 171, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Ethics": { | |
| "name": "aratrust:Ethics", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 60, | |
| "effective_num_docs": 60, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Illegal": { | |
| "name": "aratrust:Illegal", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Illegal", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 53, | |
| "effective_num_docs": 53, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:MentalHealth": { | |
| "name": "aratrust:MentalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "MentalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 76, | |
| "effective_num_docs": 76, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Offensive": { | |
| "name": "aratrust:Offensive", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Offensive", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 69, | |
| "effective_num_docs": 69, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth": { | |
| "name": "aratrust:PhysicalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "PhysicalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 73, | |
| "effective_num_docs": 73, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Privacy": { | |
| "name": "aratrust:Privacy", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Privacy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Trustfulness": { | |
| "name": "aratrust:Trustfulness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Trustfulness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 78, | |
| "effective_num_docs": 78, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Unfairness": { | |
| "name": "aratrust:Unfairness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Unfairness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 55, | |
| "effective_num_docs": 55, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)": { | |
| "name": "madinah_qa:Arabic Language (General)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)": { | |
| "name": "madinah_qa:Arabic Language (Grammar)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alrage_qa": { | |
| "name": "alrage_qa", | |
| "prompt_function": "qa_prompt_arabic", | |
| "hf_repo": "OALL/ALRAGE", | |
| "hf_subset": null, | |
| "metric": [ | |
| { | |
| "metric_name": "llm_as_judge", | |
| "higher_is_better": true, | |
| "category": "7", | |
| "use_case": "10", | |
| "sample_level_fn": "_sample_level_fn", | |
| "corpus_level_fn": "aggregate_scores" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": 200, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2106, | |
| "effective_num_docs": 2106, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| } | |
| }, | |
| "summary_tasks": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "hashes": { | |
| "hash_examples": "c07a5e78c5c0b8fe", | |
| "hash_full_prompts": "80a0e949a438f854", | |
| "hash_input_tokens": "988ea917e82b519c", | |
| "hash_cont_tokens": "d6519f4be64b0b3f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 557, | |
| "padded": 2228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "hashes": { | |
| "hash_examples": "c0b6081f83e14064", | |
| "hash_full_prompts": "6b2d3701471e4b1f", | |
| "hash_input_tokens": "f815a58e26d80be9", | |
| "hash_cont_tokens": "fe549766a0ce738a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5395, | |
| "padded": 21580, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "hashes": { | |
| "hash_examples": "64eb78a7c5b7484b", | |
| "hash_full_prompts": "1773c5ea6c776a5b", | |
| "hash_input_tokens": "5fe4b5d8f9dde2e8", | |
| "hash_cont_tokens": "0349d70fe949b783" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3580, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { | |
| "hashes": { | |
| "hash_examples": "54fc3502c1c02c06", | |
| "hash_full_prompts": "4e908353c5547baa", | |
| "hash_input_tokens": "774608b4ed9e406c", | |
| "hash_cont_tokens": "65b9e8001c0d9d5e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 75, | |
| "padded": 150, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { | |
| "hashes": { | |
| "hash_examples": "46572d83696552ae", | |
| "hash_full_prompts": "349c75cbe8ae8c36", | |
| "hash_input_tokens": "2f7508ec44525fb9", | |
| "hash_cont_tokens": "707d382e7333be99" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 750, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "hashes": { | |
| "hash_examples": "f430d97ff715bc1c", | |
| "hash_full_prompts": "dc3ef65ebcc67ea0", | |
| "hash_input_tokens": "70fc1c85f7086c73", | |
| "hash_cont_tokens": "b2739963cb832e04" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 750, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "hashes": { | |
| "hash_examples": "6b70a7416584f98c", | |
| "hash_full_prompts": "d322ffa50c152527", | |
| "hash_input_tokens": "a0cdd8d5f1c54f15", | |
| "hash_cont_tokens": "b5f274f703abc5b7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7995, | |
| "padded": 15990, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "bc2005cc9d2f436e", | |
| "hash_full_prompts": "dd56faca891efde6", | |
| "hash_input_tokens": "d460a837ba573265", | |
| "hash_cont_tokens": "87c18aae5cfd812b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5995, | |
| "padded": 17921, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "6fb0e254ea5945d8", | |
| "hash_full_prompts": "a24dad42606fd23e", | |
| "hash_input_tokens": "c1f97cafd2198eeb", | |
| "hash_cont_tokens": "8e03dcc04ffbd0bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1720, | |
| "padded": 5096, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_exams|0": { | |
| "hashes": { | |
| "hash_examples": "6d721df351722656", | |
| "hash_full_prompts": "f4c27f32ed1304f6", | |
| "hash_input_tokens": "f8f2eb441131fc1a", | |
| "hash_cont_tokens": "a4ef65bc7bab8dcf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 537, | |
| "padded": 2096, | |
| "non_padded": 52, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "hashes": { | |
| "hash_examples": "30e09697562ff9e7", | |
| "hash_full_prompts": "bff0c6fb19ead57e", | |
| "hash_input_tokens": "cb7801ff839a50c5", | |
| "hash_cont_tokens": "587bf4caea1658f4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 74, | |
| "padded": 256, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "fc669ccce0759520", | |
| "hash_input_tokens": "b43a56e5c29a9562", | |
| "hash_cont_tokens": "95a234c727b7b43c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2400, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "10bc873d02a1412a", | |
| "hash_input_tokens": "327c88cc198475e1", | |
| "hash_cont_tokens": "98f874e7446c544b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1545, | |
| "non_padded": 43, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "a9c2cd9a9929292a", | |
| "hash_full_prompts": "6724c0709f54c0c8", | |
| "hash_input_tokens": "603199e2da4fdda9", | |
| "hash_cont_tokens": "3d676d0d2f081e05" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 390, | |
| "padded": 1505, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "2f8a77bbbd0e21ff", | |
| "hash_full_prompts": "d217019db346cf56", | |
| "hash_input_tokens": "9c3f21c80f0c3c2e", | |
| "hash_cont_tokens": "322ea7667dfc2c2d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 105, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5eed3da47822539b", | |
| "hash_full_prompts": "281223ef2463441f", | |
| "hash_input_tokens": "352da821ec02cee4", | |
| "hash_cont_tokens": "f3c78f80ddea1519" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 252, | |
| "padded": 918, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "91ae6d22a0f0213d", | |
| "hash_full_prompts": "a45c742b98c0bb8e", | |
| "hash_input_tokens": "00f80b657e947bfc", | |
| "hash_cont_tokens": "aaa20fdc3c06d2c3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1409, | |
| "padded": 4968, | |
| "non_padded": 88, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "f27bf8791bea2bb9", | |
| "hash_full_prompts": "f45fd30a56e6ef8e", | |
| "hash_input_tokens": "61076ba701ef3d58", | |
| "hash_cont_tokens": "e02c7ebfec7f8df8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 312, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "74f5bb0098c8916f", | |
| "hash_full_prompts": "2e4ffd2c4ac72585", | |
| "hash_input_tokens": "5b2113db13a1f2f8", | |
| "hash_cont_tokens": "1ffdd9a463183bfa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 236, | |
| "padded": 940, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "a4278d7b525d46fe", | |
| "hash_full_prompts": "d08187d0557a9b3a", | |
| "hash_input_tokens": "df474cd947814596", | |
| "hash_cont_tokens": "821feca3d9004c98" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 261, | |
| "padded": 994, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "0cb6c07e4b80dfd4", | |
| "hash_full_prompts": "625cae891db27ba4", | |
| "hash_input_tokens": "62d164742bcf216f", | |
| "hash_cont_tokens": "8b4f299b6f012a83" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 100, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "d96fc1bc32473533", | |
| "hash_full_prompts": "20d97795e82f33c2", | |
| "hash_input_tokens": "ad9dc30f308e09ab", | |
| "hash_cont_tokens": "1bc67f97b48b9ece" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 190, | |
| "padded": 476, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "8835587e436cbaff", | |
| "hash_full_prompts": "d382f30efaa2caf2", | |
| "hash_input_tokens": "dda68b52a0f04a9d", | |
| "hash_cont_tokens": "e9d871459bc85f62" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 64, | |
| "padded": 247, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "hashes": { | |
| "hash_examples": "7a4c38a2c451d075", | |
| "hash_full_prompts": "d9e8596b43112533", | |
| "hash_input_tokens": "62f81d209588f640", | |
| "hash_cont_tokens": "cd411982b0f12d43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1211, | |
| "padded": 3606, | |
| "non_padded": 79, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c04c252836601279", | |
| "hash_full_prompts": "dd18a221bd0b756a", | |
| "hash_input_tokens": "217c31d00fb13f3e", | |
| "hash_cont_tokens": "4bda66df90f2d4d8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 360, | |
| "padded": 1374, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "18fba1579406b3cc", | |
| "hash_full_prompts": "bd91e2e91c10dbfb", | |
| "hash_input_tokens": "cb055817a1115b7a", | |
| "hash_cont_tokens": "3ea283b0f50a72f5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 344, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "hashes": { | |
| "hash_examples": "7c9e86fba8151562", | |
| "hash_full_prompts": "127e44dd5a0dc334", | |
| "hash_input_tokens": "d68cda9306fcf976", | |
| "hash_cont_tokens": "91cdb256248a5bdf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 137, | |
| "padded": 532, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "acfbe4e1f0314b85", | |
| "hash_full_prompts": "764f51eab95c84fc", | |
| "hash_input_tokens": "bf7dfe8da816b912", | |
| "hash_cont_tokens": "76d704fbedbe5ab8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 864, | |
| "padded": 3169, | |
| "non_padded": 44, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "03cd0ecf10224316", | |
| "hash_full_prompts": "37ad2c5bf7870920", | |
| "hash_input_tokens": "91769d1dd913df7a", | |
| "hash_cont_tokens": "aff2aed9268be2e2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 172, | |
| "padded": 607, | |
| "non_padded": 21, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "c3ee30196e05e122", | |
| "hash_full_prompts": "80e56ef0c04ed68c", | |
| "hash_input_tokens": "8f70b17a2fee569f", | |
| "hash_cont_tokens": "6c8978669cdc11fb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 162, | |
| "padded": 629, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "e2e329d2bdd9fb7b", | |
| "hash_full_prompts": "a4eb00d949311057", | |
| "hash_input_tokens": "12b4d28886126555", | |
| "hash_cont_tokens": "37e2e9c548d8c904" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1038, | |
| "padded": 4052, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "420b161444291989", | |
| "hash_full_prompts": "a66bba4fc02faba0", | |
| "hash_input_tokens": "123f45898a27a829", | |
| "hash_cont_tokens": "5e24bb4c8be23901" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 272, | |
| "padded": 966, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5bc5ca48a4210899", | |
| "hash_full_prompts": "cbda4d0ffc67d06b", | |
| "hash_input_tokens": "d569cd67c3772ade", | |
| "hash_cont_tokens": "b9f45957a97d1ecf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 216, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c7cc37f29311bea1", | |
| "hash_full_prompts": "88724da4a11d438f", | |
| "hash_input_tokens": "f1df2ac0d6a438f1", | |
| "hash_cont_tokens": "b16e65544485acae" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 760, | |
| "padded": 2886, | |
| "non_padded": 76, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "5b9f1973337153a2", | |
| "hash_full_prompts": "2d98d366c39f32a8", | |
| "hash_input_tokens": "c182977d1d11f918", | |
| "hash_cont_tokens": "e3b355a58a286ee4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 203, | |
| "padded": 734, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "af2469847007c1fe", | |
| "hash_full_prompts": "df3b23effab097a0", | |
| "hash_input_tokens": "89da2ebc10d8d424", | |
| "hash_cont_tokens": "a52a22630c3cb3f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "hashes": { | |
| "hash_examples": "c8da9b2f16a5ea0f", | |
| "hash_full_prompts": "a8a474da3abfdbdb", | |
| "hash_input_tokens": "4b677fd214caaca0", | |
| "hash_cont_tokens": "1866597a67ff4424" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 639, | |
| "padded": 2493, | |
| "non_padded": 36, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "efb11bc8ef398117", | |
| "hash_full_prompts": "9165dd4c8e696ae0", | |
| "hash_input_tokens": "4cf6de4862ddd06c", | |
| "hash_cont_tokens": "6b678abb2fd451bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 334, | |
| "padded": 1281, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "9e33ab030eebdb99", | |
| "hash_full_prompts": "e4fb7447e1b17c38", | |
| "hash_input_tokens": "f38150a86f3b67e9", | |
| "hash_cont_tokens": "e0c922e595ad51cd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 867, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "4167565d878b20eb", | |
| "hash_full_prompts": "2bf9da9ac8b969b6", | |
| "hash_input_tokens": "eacff23a804c5481", | |
| "hash_cont_tokens": "97e2182a63c5686c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 999, | |
| "padded": 2969, | |
| "non_padded": 55, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "hashes": { | |
| "hash_examples": "e77f52c8fe4352b3", | |
| "hash_full_prompts": "35364a07a6ccb7d0", | |
| "hash_input_tokens": "2c1e76376b16daf0", | |
| "hash_cont_tokens": "324cc46c561b417c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 314, | |
| "padded": 1223, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "hashes": { | |
| "hash_examples": "09682649b04b7327", | |
| "hash_full_prompts": "1f5a262586618a50", | |
| "hash_input_tokens": "5d7a6224db331bee", | |
| "hash_cont_tokens": "1e98e1e2cd19a5e3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 75, | |
| "padded": 200, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "edb027bfae7e76f1", | |
| "hash_full_prompts": "f41fb4acbf7affae", | |
| "hash_input_tokens": "1cb504e849eb9f91", | |
| "hash_cont_tokens": "632401a080490684" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 409, | |
| "padded": 1290, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "96e72c9094c2364c", | |
| "hash_full_prompts": "d0f723d3ce6ad0de", | |
| "hash_input_tokens": "f4ebef2dee8fce17", | |
| "hash_cont_tokens": "17e42af5dbb9eee1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 242, | |
| "padded": 924, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "69e35bad3dec5a4d", | |
| "hash_full_prompts": "2892d842afda3be6", | |
| "hash_input_tokens": "661bb7446a794af9", | |
| "hash_cont_tokens": "a7423721c9837336" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 336, | |
| "padded": 1206, | |
| "non_padded": 22, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "dc6ebd484a02fca5", | |
| "hash_full_prompts": "3a82da9c1ad5b47d", | |
| "hash_input_tokens": "2887e480819bd2de", | |
| "hash_cont_tokens": "69b31fc6977897bf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 39, | |
| "padded": 156, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "58a1722472c9e644", | |
| "hash_full_prompts": "085146655d8ef6dc", | |
| "hash_input_tokens": "d0408a46166a6195", | |
| "hash_cont_tokens": "f9506aa86f66954d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 255, | |
| "padded": 996, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "07a4ed6aabbdfd1e", | |
| "hash_full_prompts": "c179a3822417b264", | |
| "hash_input_tokens": "0fbd514d48c026c2", | |
| "hash_cont_tokens": "4799b66f49438465" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 210, | |
| "padded": 688, | |
| "non_padded": 22, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "8ca955902f304664", | |
| "hash_full_prompts": "7fc55350d4083674", | |
| "hash_input_tokens": "f9571a767e49249e", | |
| "hash_cont_tokens": "4602cb88db99312d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 241, | |
| "padded": 919, | |
| "non_padded": 10, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "934025ab3738123c", | |
| "hash_full_prompts": "ad76f074b992e2e0", | |
| "hash_input_tokens": "ef5cb7d63c15c552", | |
| "hash_cont_tokens": "19e973e9f05c9c82" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 705, | |
| "padded": 2004, | |
| "non_padded": 39, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "hashes": { | |
| "hash_examples": "0b557911f2f6d919", | |
| "hash_full_prompts": "e69f74a47413aebb", | |
| "hash_input_tokens": "8eb770d33cf2ea88", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "hashes": { | |
| "hash_examples": "a552d8a0ef294061", | |
| "hash_full_prompts": "9a06cc1bb7b5b499", | |
| "hash_input_tokens": "5c9baddfaf660ece", | |
| "hash_cont_tokens": "96c000fa61c3bd55" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 135, | |
| "padded": 532, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "hashes": { | |
| "hash_examples": "c4a372d0af7da098", | |
| "hash_full_prompts": "a94afb4ca0c2d256", | |
| "hash_input_tokens": "579d42c8c34dcfa5", | |
| "hash_cont_tokens": "b13cc32205751d90" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 152, | |
| "padded": 604, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "hashes": { | |
| "hash_examples": "9f71d816abf8af7a", | |
| "hash_full_prompts": "34d3001ccccff521", | |
| "hash_input_tokens": "71ab05a7953cb9f2", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "38303cd765589ef3", | |
| "hash_full_prompts": "1556725f5b45ac71", | |
| "hash_input_tokens": "7704b8aba5f15da2", | |
| "hash_cont_tokens": "c771582839d4f30c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 265, | |
| "padded": 1028, | |
| "non_padded": 32, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "hashes": { | |
| "hash_examples": "dbd9b5d318e60b04", | |
| "hash_full_prompts": "78f4e9cb9660d3ca", | |
| "hash_input_tokens": "c2e25c33e7c3a1f8", | |
| "hash_cont_tokens": "ec774ac0d0ad658b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 144, | |
| "padded": 572, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "hashes": { | |
| "hash_examples": "6f88491d03db8a4c", | |
| "hash_full_prompts": "2d0102fc2e009e99", | |
| "hash_input_tokens": "a73209098fb12f5b", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "ebfdee5ef2ed5e17", | |
| "hash_full_prompts": "aacfd01dc053d008", | |
| "hash_input_tokens": "9e107774ccf848e7", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "e3f22cd7712aae2f", | |
| "hash_full_prompts": "86a3d00a93e44a42", | |
| "hash_input_tokens": "3ab18429e0f8d79e", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "51a5501373afb5a7", | |
| "hash_full_prompts": "2d611f649df6bd4c", | |
| "hash_input_tokens": "6bab4bd746d0913b", | |
| "hash_cont_tokens": "1823a754e6394181" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 173, | |
| "padded": 680, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "hashes": { | |
| "hash_examples": "2d3e015989b108db", | |
| "hash_full_prompts": "8206c1d53c258116", | |
| "hash_input_tokens": "cc114104a0d11b1f", | |
| "hash_cont_tokens": "ee5dc873d27b9e10" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 404, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "hashes": { | |
| "hash_examples": "f8810eddc38dfee4", | |
| "hash_full_prompts": "aa67ba537bd6d9cb", | |
| "hash_input_tokens": "57a6e8a7be9fce1f", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "hashes": { | |
| "hash_examples": "211e32cc43c6b1dc", | |
| "hash_full_prompts": "5b26750c0a54b21a", | |
| "hash_input_tokens": "55e34156f2180f21", | |
| "hash_cont_tokens": "b7b580bbcf7e0afa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 235, | |
| "padded": 896, | |
| "non_padded": 44, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "hashes": { | |
| "hash_examples": "810023786b2484d2", | |
| "hash_full_prompts": "1554f608d8cbebad", | |
| "hash_input_tokens": "442dca32af0c83e9", | |
| "hash_cont_tokens": "d44932b2a931e093" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 114, | |
| "padded": 452, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "hashes": { | |
| "hash_examples": "a222760c93eaa1ee", | |
| "hash_full_prompts": "69acb104ef4c55c2", | |
| "hash_input_tokens": "73f1fa484eed0c8e", | |
| "hash_cont_tokens": "159f4cb1232d2a3c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 145, | |
| "padded": 544, | |
| "non_padded": 36, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "4c069aeee64dc227", | |
| "hash_full_prompts": "f53b58db6fd4b44a", | |
| "hash_input_tokens": "531de409d75643ff", | |
| "hash_cont_tokens": "2bf44b70baf49dfa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 378, | |
| "padded": 1500, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "hashes": { | |
| "hash_examples": "3cb0ccbf8e8a77ae", | |
| "hash_full_prompts": "c4a28d323f6cb522", | |
| "hash_input_tokens": "d6756a6a90e3b537", | |
| "hash_cont_tokens": "8765c45f4711ebb8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 126, | |
| "padded": 504, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "hashes": { | |
| "hash_examples": "c1d039e64ea321b9", | |
| "hash_full_prompts": "e5fed902d9227552", | |
| "hash_input_tokens": "5035363329928c7e", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 388, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "hashes": { | |
| "hash_examples": "ddcb8237bb4ba08a", | |
| "hash_full_prompts": "719c7f7a3c6baac4", | |
| "hash_input_tokens": "c6bea9c89c39854a", | |
| "hash_cont_tokens": "49908817551a4513" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3813, | |
| "padded": 15100, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "hashes": { | |
| "hash_examples": "07061b55c5c436d9", | |
| "hash_full_prompts": "1527546cad57c6e8", | |
| "hash_input_tokens": "32e3d4b83c66cfb3", | |
| "hash_cont_tokens": "a7f16a586e1cfe0f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4016, | |
| "padded": 15912, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "8d3405483d5fdcff", | |
| "hash_full_prompts": "52bddb525d63cfb6", | |
| "hash_input_tokens": "3ea0b21f87b03c76", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "hashes": { | |
| "hash_examples": "031c49a430356414", | |
| "hash_full_prompts": "a776b57861a8f770", | |
| "hash_input_tokens": "9d348e296a3c292e", | |
| "hash_cont_tokens": "5420388845898571" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 8152, | |
| "padded": 32448, | |
| "non_padded": 160, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "hashes": { | |
| "hash_examples": "d0ce2b019a66c1de", | |
| "hash_full_prompts": "c2feec8be4e1ff30", | |
| "hash_input_tokens": "e57d8eae391ffd72", | |
| "hash_cont_tokens": "fa4a2c8384dfaaa5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 198, | |
| "padded": 768, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "hashes": { | |
| "hash_examples": "7d7c6d476d0576b1", | |
| "hash_full_prompts": "a425a9deee8f47b5", | |
| "hash_input_tokens": "342f166873e21e8a", | |
| "hash_cont_tokens": "682709d2fa91c75e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 193, | |
| "padded": 768, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "hashes": { | |
| "hash_examples": "694d3a01c6144ddb", | |
| "hash_full_prompts": "ecbc56e8841a440f", | |
| "hash_input_tokens": "ed8c3da0a3b3f261", | |
| "hash_cont_tokens": "4f2f97c723cb220f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2891, | |
| "padded": 11440, | |
| "non_padded": 124, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "004f9c0a40b5ec10", | |
| "hash_full_prompts": "b062392cb5100ded", | |
| "hash_input_tokens": "1c43569f9032a36a", | |
| "hash_cont_tokens": "8130a825e5a2ee3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 270, | |
| "padded": 1072, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "hashes": { | |
| "hash_examples": "80cf03d462e6ccbc", | |
| "hash_full_prompts": "85d5dfb962fc6d98", | |
| "hash_input_tokens": "4086753e3056c5dd", | |
| "hash_cont_tokens": "4f6974070ef28d29" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 948, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "hashes": { | |
| "hash_examples": "92218def5b383845", | |
| "hash_full_prompts": "1c8559c031860760", | |
| "hash_input_tokens": "5010cd1eafb66faf", | |
| "hash_cont_tokens": "5d32bcd7ba8252ba" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 151, | |
| "padded": 604, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "323f7848fee32e58", | |
| "hash_full_prompts": "8035a60e22c7171e", | |
| "hash_input_tokens": "90657a781e4e3261", | |
| "hash_cont_tokens": "1512a6938229952b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 545, | |
| "padded": 2156, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "hashes": { | |
| "hash_examples": "d7bbe0d037cf31ec", | |
| "hash_full_prompts": "6158ad415c6366aa", | |
| "hash_input_tokens": "398c0ae7335b4e99", | |
| "hash_cont_tokens": "95cb29e5c31221c8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4232, | |
| "padded": 16776, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "hashes": { | |
| "hash_examples": "722ec9207e3b0e04", | |
| "hash_full_prompts": "5b4434e41ee5ad44", | |
| "hash_input_tokens": "7fc443b784a36a2b", | |
| "hash_cont_tokens": "0c31c2de1e3429bf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 204, | |
| "padded": 816, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "hashes": { | |
| "hash_examples": "b5eb675d3b578584", | |
| "hash_full_prompts": "9734067c4bba2d90", | |
| "hash_input_tokens": "cb39d47a21b6b1ff", | |
| "hash_cont_tokens": "5e704d9d54138833" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 237, | |
| "padded": 948, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "hashes": { | |
| "hash_examples": "713ac79cd2dd2d7b", | |
| "hash_full_prompts": "a7abe635cf733537", | |
| "hash_input_tokens": "f28d5cb964c3d6c1", | |
| "hash_cont_tokens": "e5a3e63957647f04" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 223, | |
| "padded": 868, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "hashes": { | |
| "hash_examples": "47551ab4e5dcf6c5", | |
| "hash_full_prompts": "1f816ff56cc17aa6", | |
| "hash_input_tokens": "32ef9a6c4bda75ec", | |
| "hash_cont_tokens": "90a9b6d1231332f4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 131, | |
| "padded": 512, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "hashes": { | |
| "hash_examples": "da360336943398d5", | |
| "hash_full_prompts": "fb06b1e1341ef7fd", | |
| "hash_input_tokens": "00e18b7cc18df78c", | |
| "hash_cont_tokens": "9ab33ab519d55748" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 121, | |
| "padded": 484, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "hashes": { | |
| "hash_examples": "661d161a486fb035", | |
| "hash_full_prompts": "c1f348bac6d3e718", | |
| "hash_input_tokens": "d7d4df070d09807e", | |
| "hash_cont_tokens": "2cecb6db3790a23b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 108, | |
| "padded": 432, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "hashes": { | |
| "hash_examples": "5c3926384758bda7", | |
| "hash_full_prompts": "0cde216cf861d61f", | |
| "hash_input_tokens": "477d683f3a34ab49", | |
| "hash_cont_tokens": "f5c60e363dd9fc3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 163, | |
| "padded": 640, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "hashes": { | |
| "hash_examples": "3ce756e6a22ffc48", | |
| "hash_full_prompts": "2e571d1b5320c81f", | |
| "hash_input_tokens": "ca99ea7495acfc66", | |
| "hash_cont_tokens": "d41e7e44237c0a16" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 112, | |
| "padded": 444, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "hashes": { | |
| "hash_examples": "20fe769bb3276832", | |
| "hash_full_prompts": "addddee958040e66", | |
| "hash_input_tokens": "7b8702d437bc6901", | |
| "hash_cont_tokens": "372864196dbb4cad" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 103, | |
| "padded": 396, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "hashes": { | |
| "hash_examples": "6b19449559d987ce", | |
| "hash_full_prompts": "fcc1001dcd8658fe", | |
| "hash_input_tokens": "a8d4c75abf86f719", | |
| "hash_cont_tokens": "ad74b6b4e88f6100" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 234, | |
| "padded": 932, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "hashes": { | |
| "hash_examples": "cbb0fa9df0f5435a", | |
| "hash_full_prompts": "b9d85ecf87796575", | |
| "hash_input_tokens": "5cecc6f873ef619c", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 384, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "hashes": { | |
| "hash_examples": "0a4134046c23cff9", | |
| "hash_full_prompts": "d46469b4de083b50", | |
| "hash_input_tokens": "9f9cb61cd9a789eb", | |
| "hash_cont_tokens": "f2831dc319b7001c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2420, | |
| "padded": 9580, | |
| "non_padded": 100, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "hashes": { | |
| "hash_examples": "1ac8a0967c82caa0", | |
| "hash_full_prompts": "7ccf1d3ae4eab339", | |
| "hash_input_tokens": "89493f1c4e8306bd", | |
| "hash_cont_tokens": "d6a32c4f89ec0e43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 346, | |
| "padded": 1368, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "hashes": { | |
| "hash_examples": "2c0670188bc5a789", | |
| "hash_full_prompts": "44466154f6fbec71", | |
| "hash_input_tokens": "f60cd1df7f66cd7a", | |
| "hash_cont_tokens": "0abad6841e9b5dc1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3504, | |
| "non_padded": 76, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "hashes": { | |
| "hash_examples": "658628c0dcdfe201", | |
| "hash_full_prompts": "2ebbbdaea80d9c0f", | |
| "hash_input_tokens": "f0ec440c8774ee18", | |
| "hash_cont_tokens": "1947ff415070dfa5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 306, | |
| "padded": 1208, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "hashes": { | |
| "hash_examples": "8b6707b322affafd", | |
| "hash_full_prompts": "72b1804dd62e9842", | |
| "hash_input_tokens": "09792b5775274599", | |
| "hash_cont_tokens": "566ed263a8423f58" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 311, | |
| "padded": 1224, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "hashes": { | |
| "hash_examples": "0c85ffcdc9a7b367", | |
| "hash_full_prompts": "70d2d35428e8ed51", | |
| "hash_input_tokens": "e6d344770642264d", | |
| "hash_cont_tokens": "69725bb3099f23d0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 324, | |
| "padded": 1272, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "hashes": { | |
| "hash_examples": "cce1ea2d5f544b2f", | |
| "hash_full_prompts": "1bef23608081ff7b", | |
| "hash_input_tokens": "cee38ca136d19009", | |
| "hash_cont_tokens": "25802ac32c51a7f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4514, | |
| "padded": 17819, | |
| "non_padded": 237, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "hashes": { | |
| "hash_examples": "1c654b024b54eb4b", | |
| "hash_full_prompts": "6525f44784846cab", | |
| "hash_input_tokens": "0a5b168437f89e8c", | |
| "hash_cont_tokens": "7f2b1b7218a1ef40" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7987, | |
| "padded": 31596, | |
| "non_padded": 352, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "c621eaacfa662ebc", | |
| "hash_full_prompts": "7875238389eeca83", | |
| "hash_input_tokens": "546c47dbdd0e550e", | |
| "hash_cont_tokens": "e1afe1503a5d02c5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1637, | |
| "padded": 6476, | |
| "non_padded": 72, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "bc14a28eaec87dc4", | |
| "hash_full_prompts": "3e80ba9be5ad5629", | |
| "hash_input_tokens": "3c4e1d4ff9109089", | |
| "hash_cont_tokens": "1c41f3eeadeec685" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3503, | |
| "padded": 13760, | |
| "non_padded": 252, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "hashes": { | |
| "hash_examples": "de4989d9375885c4", | |
| "hash_full_prompts": "79e175750959cd9e", | |
| "hash_input_tokens": "be94c578c81f1ead", | |
| "hash_cont_tokens": "3914ab4a5d5b69e8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 110, | |
| "padded": 432, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "hashes": { | |
| "hash_examples": "3f84bfeec717c6de", | |
| "hash_full_prompts": "5bf146758e2e0263", | |
| "hash_input_tokens": "71fea4ac2c6edca6", | |
| "hash_cont_tokens": "1d2b199df736dea4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 245, | |
| "padded": 972, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "hashes": { | |
| "hash_examples": "10d7c2fae10bfcbc", | |
| "hash_full_prompts": "fa261fced60e82fc", | |
| "hash_input_tokens": "ed6086c1da753b7d", | |
| "hash_cont_tokens": "3556cb090eda6dec" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 201, | |
| "padded": 788, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "hashes": { | |
| "hash_examples": "bb05f02c38ddaf1a", | |
| "hash_full_prompts": "0dfe513238bd0061", | |
| "hash_input_tokens": "cedca948696026ec", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 376, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "hashes": { | |
| "hash_examples": "290915a48884ede2", | |
| "hash_full_prompts": "694770ed73f5c26a", | |
| "hash_input_tokens": "6b0e773958a18bf5", | |
| "hash_cont_tokens": "cbf93f8f3bd5c82c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 166, | |
| "padded": 636, | |
| "non_padded": 28, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "hashes": { | |
| "hash_examples": "91cc5451c7284f75", | |
| "hash_full_prompts": "71844a79ee0d8a3d", | |
| "hash_input_tokens": "33d85cc0318b81b5", | |
| "hash_cont_tokens": "b5fbc024ac54a858" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 171, | |
| "padded": 672, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "fc669ccce0759520", | |
| "hash_input_tokens": "84cf84610a88790d", | |
| "hash_cont_tokens": "05d3f2bc980e6cbb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2346, | |
| "non_padded": 57, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "10bc873d02a1412a", | |
| "hash_input_tokens": "45e5a32c7838fd96", | |
| "hash_cont_tokens": "ac1327c8a93a78f2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1521, | |
| "non_padded": 67, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "hashes": { | |
| "hash_examples": "5d32da36271c5eb4", | |
| "hash_full_prompts": "bf216386871f979e", | |
| "hash_input_tokens": "ca3048884e5363dd", | |
| "hash_cont_tokens": "67fe5dc315ef723c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 60, | |
| "padded": 180, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "hashes": { | |
| "hash_examples": "0c07f1f100f2d0e8", | |
| "hash_full_prompts": "e8685254a9800856", | |
| "hash_input_tokens": "6584a5439057a846", | |
| "hash_cont_tokens": "2cc82a58b4d87abc" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 53, | |
| "padded": 159, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "8e5fc5c4704bd96b", | |
| "hash_full_prompts": "7bda37378742ecfe", | |
| "hash_input_tokens": "c1dd22d5d2e668ce", | |
| "hash_cont_tokens": "7b399d0f0a9124f1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 76, | |
| "padded": 228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "hashes": { | |
| "hash_examples": "5ad4369b7dc5de46", | |
| "hash_full_prompts": "5fb2efd23e5ac881", | |
| "hash_input_tokens": "66da6c3d5844dffd", | |
| "hash_cont_tokens": "0cd5015bc3370adf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 69, | |
| "padded": 207, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "dc2a632e2dcc86db", | |
| "hash_full_prompts": "bf54e2b8d0999424", | |
| "hash_input_tokens": "868b92d974ebd93d", | |
| "hash_cont_tokens": "cb8655dcad91858d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 73, | |
| "padded": 210, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "hashes": { | |
| "hash_examples": "295e35448a39e003", | |
| "hash_full_prompts": "e7c7f61380b9f5b3", | |
| "hash_input_tokens": "8e4ed2404fbe3efd", | |
| "hash_cont_tokens": "7f23416c661e2ee5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 162, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "hashes": { | |
| "hash_examples": "e79ac1ea5439e623", | |
| "hash_full_prompts": "d3bde62ee380527f", | |
| "hash_input_tokens": "eaa0417e35f3b7a0", | |
| "hash_cont_tokens": "ff874dba360c1ede" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 78, | |
| "padded": 228, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "hashes": { | |
| "hash_examples": "4ac5dccbfbdc5077", | |
| "hash_full_prompts": "88e12633a1dbe81d", | |
| "hash_input_tokens": "e5268e7139fe3ca8", | |
| "hash_cont_tokens": "3e990fe3a474dbc5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 55, | |
| "padded": 159, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alrage_qa|0": { | |
| "hashes": { | |
| "hash_examples": "3edbbe22cabd4160", | |
| "hash_full_prompts": "91c8d5ed9f9796ea", | |
| "hash_input_tokens": "dbccd73d9313a2b1", | |
| "hash_cont_tokens": "51e0b5ecd8302dc0" | |
| }, | |
| "truncated": 2106, | |
| "non_truncated": 0, | |
| "padded": 2106, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| } | |
| }, | |
| "summary_general": { | |
| "hashes": { | |
| "hash_examples": "b8b3b49631adcc40", | |
| "hash_full_prompts": "a49e21e87f93468f", | |
| "hash_input_tokens": "f8010e6a122010bf", | |
| "hash_cont_tokens": "c24e2465ac1af50f" | |
| }, | |
| "truncated": 219, | |
| "non_truncated": 91643, | |
| "padded": 333440, | |
| "non_padded": 3444, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |