|
{ |
|
"config_general": { |
|
"lighteval_sha": "?", |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": 0, |
|
"start_time": 698.346514737, |
|
"end_time": 6939.611155811, |
|
"total_evaluation_time_secondes": "6241.264641074", |
|
"model_name": "VAGOsolutions/SauerkrautLM-Nemo-12b-Instruct", |
|
"model_sha": "fcb056465084ab2c71503a0760f46e4be79c985c", |
|
"model_dtype": "torch.bfloat16", |
|
"model_size": "22.81 GB" |
|
}, |
|
"results": { |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"acc_norm": 0.657645968489342, |
|
"acc_norm_stderr": 0.006460681523698526 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"acc_norm": 0.841340782122905, |
|
"acc_norm_stderr": 0.012219399549341509 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { |
|
"acc_norm": 0.88, |
|
"acc_norm_stderr": 0.03777601126412142 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { |
|
"acc_norm": 0.8733333333333333, |
|
"acc_norm_stderr": 0.027247587445967607 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { |
|
"acc_norm": 0.88, |
|
"acc_norm_stderr": 0.02662188633840145 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { |
|
"acc_norm": 0.8132582864290181, |
|
"acc_norm_stderr": 0.004358658529418818 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": { |
|
"acc_norm": 0.5451209341117598, |
|
"acc_norm_stderr": 0.006431851905665731 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"acc_norm": 0.4122093023255814, |
|
"acc_norm_stderr": 0.011872230233963376 |
|
}, |
|
"community|arabic_exams|0": { |
|
"acc_norm": 0.4264432029795158, |
|
"acc_norm_stderr": 0.021361729869269146 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"acc_norm": 0.3783783783783784, |
|
"acc_norm_stderr": 0.05676292697547984 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)|0": { |
|
"acc_norm": 0.41013071895424835, |
|
"acc_norm_stderr": 0.019898412717635892 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.5315068493150685, |
|
"acc_norm_stderr": 0.026155038514356393 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"acc_norm": 0.32051282051282054, |
|
"acc_norm_stderr": 0.023661296393964283 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": { |
|
"acc_norm": 0.4074074074074074, |
|
"acc_norm_stderr": 0.09636202008710973 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": { |
|
"acc_norm": 0.5873015873015873, |
|
"acc_norm_stderr": 0.03107492762519089 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"acc_norm": 0.36195883605393897, |
|
"acc_norm_stderr": 0.012807153459202717 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"acc_norm": 0.4367816091954023, |
|
"acc_norm_stderr": 0.05348368965287097 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"acc_norm": 0.3686440677966102, |
|
"acc_norm_stderr": 0.0314707306823461 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"acc_norm": 0.4482758620689655, |
|
"acc_norm_stderr": 0.030842316931031653 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"acc_norm": 0.5555555555555556, |
|
"acc_norm_stderr": 0.09745089103411436 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"acc_norm": 0.5947368421052631, |
|
"acc_norm_stderr": 0.03571084126496387 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)|0": { |
|
"acc_norm": 0.484375, |
|
"acc_norm_stderr": 0.06296331249416676 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"acc_norm": 0.5623451692815855, |
|
"acc_norm_stderr": 0.014261810528811312 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"acc_norm": 0.4166666666666667, |
|
"acc_norm_stderr": 0.026019895727930134 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"acc_norm": 0.5862068965517241, |
|
"acc_norm_stderr": 0.053108967729906795 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"acc_norm": 0.35036496350364965, |
|
"acc_norm_stderr": 0.04090963462070426 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"acc_norm": 0.4305555555555556, |
|
"acc_norm_stderr": 0.016855237679644565 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"acc_norm": 0.4476744186046512, |
|
"acc_norm_stderr": 0.03802600168672209 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"acc_norm": 0.49382716049382713, |
|
"acc_norm_stderr": 0.03940251718575993 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"acc_norm": 0.39980732177263967, |
|
"acc_norm_stderr": 0.01521182568037195 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"acc_norm": 0.48161764705882354, |
|
"acc_norm_stderr": 0.030352303395351964 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"acc_norm": 0.49122807017543857, |
|
"acc_norm_stderr": 0.06680502724442025 |
|
}, |
|
"community|arabic_mmlu:History (High School)|0": { |
|
"acc_norm": 0.375, |
|
"acc_norm_stderr": 0.017572548659860417 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"acc_norm": 0.4039408866995074, |
|
"acc_norm_stderr": 0.03452453903822039 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"acc_norm": 0.45098039215686275, |
|
"acc_norm_stderr": 0.04951218252396262 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"acc_norm": 0.3755868544600939, |
|
"acc_norm_stderr": 0.01917259379960079 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": { |
|
"acc_norm": 0.46407185628742514, |
|
"acc_norm_stderr": 0.027329002540304237 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": { |
|
"acc_norm": 0.5084033613445378, |
|
"acc_norm_stderr": 0.03247390276569669 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": { |
|
"acc_norm": 0.6216216216216216, |
|
"acc_norm_stderr": 0.015351857875664413 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"acc_norm": 0.25796178343949044, |
|
"acc_norm_stderr": 0.02472968890819025 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"acc_norm": 0.6666666666666666, |
|
"acc_norm_stderr": 0.05479966243511907 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"acc_norm": 0.49144254278728605, |
|
"acc_norm_stderr": 0.024750062879997956 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": { |
|
"acc_norm": 0.5619834710743802, |
|
"acc_norm_stderr": 0.031959391330987276 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": { |
|
"acc_norm": 0.5982142857142857, |
|
"acc_norm_stderr": 0.02678571428571425 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"acc_norm": 0.48717948717948717, |
|
"acc_norm_stderr": 0.08108404256842 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)|0": { |
|
"acc_norm": 0.36470588235294116, |
|
"acc_norm_stderr": 0.03020243391989206 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"acc_norm": 0.48095238095238096, |
|
"acc_norm_stderr": 0.034560617865111484 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": { |
|
"acc_norm": 0.4315352697095436, |
|
"acc_norm_stderr": 0.03197085786998418 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": { |
|
"acc_norm": 0.577304964539007, |
|
"acc_norm_stderr": 0.018617865566806304 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"acc_norm": 0.32, |
|
"acc_norm_stderr": 0.04688261722621504 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"acc_norm": 0.34814814814814815, |
|
"acc_norm_stderr": 0.041153246103369526 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"acc_norm": 0.5131578947368421, |
|
"acc_norm_stderr": 0.04067533136309173 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"acc_norm": 0.53, |
|
"acc_norm_stderr": 0.05016135580465919 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"acc_norm": 0.5132075471698113, |
|
"acc_norm_stderr": 0.030762134874500476 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology|0": { |
|
"acc_norm": 0.4583333333333333, |
|
"acc_norm_stderr": 0.04166666666666666 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"acc_norm": 0.37, |
|
"acc_norm_stderr": 0.048523658709391 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"acc_norm": 0.4, |
|
"acc_norm_stderr": 0.04923659639173309 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics|0": { |
|
"acc_norm": 0.33, |
|
"acc_norm_stderr": 0.047258156262526045 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"acc_norm": 0.5144508670520231, |
|
"acc_norm_stderr": 0.03810871630454764 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"acc_norm": 0.3137254901960784, |
|
"acc_norm_stderr": 0.04617034827006717 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"acc_norm": 0.54, |
|
"acc_norm_stderr": 0.05009082659620333 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"acc_norm": 0.4297872340425532, |
|
"acc_norm_stderr": 0.03236214467715564 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"acc_norm": 0.37719298245614036, |
|
"acc_norm_stderr": 0.04559522141958216 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"acc_norm": 0.38620689655172413, |
|
"acc_norm_stderr": 0.04057324734419034 |
|
}, |
|
"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": 0.4603174603174603, |
|
"acc_norm_stderr": 0.04458029125470973 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"acc_norm": 0.37, |
|
"acc_norm_stderr": 0.04852365870939099 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology|0": { |
|
"acc_norm": 0.5179648570679255, |
|
"acc_norm_stderr": 0.008093065443090174 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": { |
|
"acc_norm": 0.5084661354581673, |
|
"acc_norm_stderr": 0.007889781283721144 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"acc_norm": 0.58, |
|
"acc_norm_stderr": 0.04960449637488583 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": { |
|
"acc_norm": 0.44087340529931307, |
|
"acc_norm_stderr": 0.005499289453428171 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography|0": { |
|
"acc_norm": 0.6313131313131313, |
|
"acc_norm_stderr": 0.034373055019806184 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": { |
|
"acc_norm": 0.6321243523316062, |
|
"acc_norm_stderr": 0.034801756684660366 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": { |
|
"acc_norm": 0.5295745416810792, |
|
"acc_norm_stderr": 0.00928453240804907 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": { |
|
"acc_norm": 0.22592592592592592, |
|
"acc_norm_stderr": 0.02549753263960955 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": { |
|
"acc_norm": 0.49159663865546216, |
|
"acc_norm_stderr": 0.03247390276569669 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics|0": { |
|
"acc_norm": 0.2781456953642384, |
|
"acc_norm_stderr": 0.03658603262763743 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": { |
|
"acc_norm": 0.6, |
|
"acc_norm_stderr": 0.021004201260420075 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": { |
|
"acc_norm": 0.500945179584121, |
|
"acc_norm_stderr": 0.007686837774979779 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"acc_norm": 0.6421568627450981, |
|
"acc_norm_stderr": 0.033644872860882996 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": { |
|
"acc_norm": 0.7426160337552743, |
|
"acc_norm_stderr": 0.0284588209914603 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging|0": { |
|
"acc_norm": 0.5336322869955157, |
|
"acc_norm_stderr": 0.033481800170603065 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"acc_norm": 0.5038167938931297, |
|
"acc_norm_stderr": 0.043851623256015534 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"acc_norm": 0.6859504132231405, |
|
"acc_norm_stderr": 0.042369647530410184 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"acc_norm": 0.5555555555555556, |
|
"acc_norm_stderr": 0.04803752235190193 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"acc_norm": 0.44171779141104295, |
|
"acc_norm_stderr": 0.03901591825836184 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"acc_norm": 0.30357142857142855, |
|
"acc_norm_stderr": 0.04364226155841044 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"acc_norm": 0.5631067961165048, |
|
"acc_norm_stderr": 0.04911147107365777 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"acc_norm": 0.6025641025641025, |
|
"acc_norm_stderr": 0.03205953453789293 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"acc_norm": 0.47, |
|
"acc_norm_stderr": 0.050161355804659205 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"acc_norm": 0.5413223140495868, |
|
"acc_norm_stderr": 0.01013126877601306 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"acc_norm": 0.5289017341040463, |
|
"acc_norm_stderr": 0.02687408588351835 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"acc_norm": 0.2558659217877095, |
|
"acc_norm_stderr": 0.01459362092321074 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"acc_norm": 0.5424836601307189, |
|
"acc_norm_stderr": 0.028526383452142638 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"acc_norm": 0.5305466237942122, |
|
"acc_norm_stderr": 0.028345045864840622 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"acc_norm": 0.5061728395061729, |
|
"acc_norm_stderr": 0.027818623962583295 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"acc_norm": 0.4915817456801063, |
|
"acc_norm_stderr": 0.007441761967569784 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"acc_norm": 0.43721046700888944, |
|
"acc_norm_stderr": 0.005550775058485586 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"acc_norm": 0.5339034819792303, |
|
"acc_norm_stderr": 0.012333253444715725 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"acc_norm": 0.5118469882957465, |
|
"acc_norm_stderr": 0.008446756832677418 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"acc_norm": 0.4909090909090909, |
|
"acc_norm_stderr": 0.04788339768702861 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"acc_norm": 0.5673469387755102, |
|
"acc_norm_stderr": 0.03171752824062664 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"acc_norm": 0.6218905472636815, |
|
"acc_norm_stderr": 0.034288678487786564 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"acc_norm": 0.66, |
|
"acc_norm_stderr": 0.04760952285695237 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"acc_norm": 0.4578313253012048, |
|
"acc_norm_stderr": 0.0387862677100236 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"acc_norm": 0.543859649122807, |
|
"acc_norm_stderr": 0.03820042586602967 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"acc_norm": 0.5898692810457516, |
|
"acc_norm_stderr": 0.019898412717635903 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.547945205479452, |
|
"acc_norm_stderr": 0.026086355811749208 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"acc_norm": 0.65, |
|
"acc_norm_stderr": 0.06209615288719447 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"acc_norm": 0.6792452830188679, |
|
"acc_norm_stderr": 0.06472889149775837 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"acc_norm": 0.6578947368421053, |
|
"acc_norm_stderr": 0.054780684196477164 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"acc_norm": 0.4492753623188406, |
|
"acc_norm_stderr": 0.060321078543480566 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"acc_norm": 0.5753424657534246, |
|
"acc_norm_stderr": 0.05825274348024232 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"acc_norm": 0.7368421052631579, |
|
"acc_norm_stderr": 0.058843894144731304 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"acc_norm": 0.6282051282051282, |
|
"acc_norm_stderr": 0.05507532564433871 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"acc_norm": 0.7636363636363637, |
|
"acc_norm_stderr": 0.057814497055572435 |
|
}, |
|
"community|alghafa:_average|0": { |
|
"acc_norm": 0.7378635758514923, |
|
"acc_norm_stderr": 0.016623538348822305 |
|
}, |
|
"community|arabic_mmlu:_average|0": { |
|
"acc_norm": 0.466585277782383, |
|
"acc_norm_stderr": 0.036874843603639726 |
|
}, |
|
"community|arabic_mmlu_ht:_average|0": { |
|
"acc_norm": 0.48592850753211264, |
|
"acc_norm_stderr": 0.03318469778097049 |
|
}, |
|
"community|madinah_qa:_average|0": { |
|
"acc_norm": 0.5689072432626019, |
|
"acc_norm_stderr": 0.022992384264692557 |
|
}, |
|
"community|aratrust:_average|0": { |
|
"acc_norm": 0.642555180629736, |
|
"acc_norm_stderr": 0.05898915843122442 |
|
}, |
|
"all": { |
|
"acc_norm": 0.5083529636377608, |
|
"acc_norm_stderr": 0.03481697922672358, |
|
"llm_as_judge": 0.7026115859449167, |
|
"llm_as_judge_stderr": 0.00014123648493977916 |
|
}, |
|
"community|alrage_qa|0": { |
|
"llm_as_judge": 0.7026115859449167, |
|
"llm_as_judge_stderr": 0.00014123648493977916 |
|
} |
|
}, |
|
"versions": { |
|
"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: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:meta_ar_dialects|0": { |
|
"hashes": { |
|
"hash_examples": "c0b6081f83e14064", |
|
"hash_full_prompts": "53bfefb6beb56870", |
|
"hash_input_tokens": "1de5c580a6b99136", |
|
"hash_cont_tokens": "f0ae07ec50f150a8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 5395, |
|
"padded": 21372, |
|
"non_padded": 208, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"hashes": { |
|
"hash_examples": "64eb78a7c5b7484b", |
|
"hash_full_prompts": "2e7ce18dbe94ba5e", |
|
"hash_input_tokens": "c35fa8b0fe6955f8", |
|
"hash_cont_tokens": "bb884d242602ea69" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3528, |
|
"non_padded": 52, |
|
"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": "bfee840a3dbb609d", |
|
"hash_input_tokens": "16bc4ca294a46162", |
|
"hash_cont_tokens": "ccbf6d0140d540a9" |
|
}, |
|
"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": "6b4acd4626f57bf7", |
|
"hash_input_tokens": "904415ef78642d50", |
|
"hash_cont_tokens": "5520363950f5db54" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 150, |
|
"padded": 745, |
|
"non_padded": 5, |
|
"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": "9c1ceb90367fbb38", |
|
"hash_input_tokens": "570824007eb2c67c", |
|
"hash_cont_tokens": "5520363950f5db54" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 150, |
|
"padded": 735, |
|
"non_padded": 15, |
|
"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": "449ce521a1e7d0ab", |
|
"hash_input_tokens": "ee74b211b94fedba", |
|
"hash_cont_tokens": "094fe6bc20f87fd1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7995, |
|
"padded": 15571, |
|
"non_padded": 419, |
|
"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": "3984d441aae8d4ca", |
|
"hash_input_tokens": "ef839e28e16a508c", |
|
"hash_cont_tokens": "811bcbf02600821f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 5995, |
|
"padded": 16920, |
|
"non_padded": 1065, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"hashes": { |
|
"hash_examples": "6fb0e254ea5945d8", |
|
"hash_full_prompts": "b86814ca3270a3c6", |
|
"hash_input_tokens": "367583a3a174ed5a", |
|
"hash_cont_tokens": "d8bf2e1d64b68854" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1720, |
|
"padded": 4998, |
|
"non_padded": 162, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_exams|0": { |
|
"hashes": { |
|
"hash_examples": "6d721df351722656", |
|
"hash_full_prompts": "04f91f65e6a2ba34", |
|
"hash_input_tokens": "1181bacffc11172e", |
|
"hash_cont_tokens": "fa534e604a7d85e8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 537, |
|
"padded": 2148, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"hashes": { |
|
"hash_examples": "30e09697562ff9e7", |
|
"hash_full_prompts": "9d01d5d172f81e26", |
|
"hash_input_tokens": "b2930a41f57e7bb2", |
|
"hash_cont_tokens": "342befbb22447393" |
|
}, |
|
"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": "ea7b162c43fc8715", |
|
"hash_input_tokens": "47e4d5f8787f34b3", |
|
"hash_cont_tokens": "2a18caf50303eeb1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2403, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "bd066a9e6a140a4b", |
|
"hash_full_prompts": "1e451d80730813ba", |
|
"hash_input_tokens": "da674d4a829928a2", |
|
"hash_cont_tokens": "e2da4a1a2a401723" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1588, |
|
"non_padded": 0, |
|
"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": "e2704f19a8f454d3", |
|
"hash_input_tokens": "ae3bacd866d066f8", |
|
"hash_cont_tokens": "a99724522990229f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 390, |
|
"padded": 1525, |
|
"non_padded": 0, |
|
"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": "981621d2c47756ca", |
|
"hash_input_tokens": "da738a7069755caa", |
|
"hash_cont_tokens": "c847ca33ad9bee94" |
|
}, |
|
"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": "b34731f738d623e2", |
|
"hash_input_tokens": "aa7f6276f2add5ad", |
|
"hash_cont_tokens": "87bcf06c7579203a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 252, |
|
"padded": 926, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "91ae6d22a0f0213d", |
|
"hash_full_prompts": "29d2c559efa918f0", |
|
"hash_input_tokens": "5f2e39fc7f24960c", |
|
"hash_cont_tokens": "5a605cc5184af307" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1409, |
|
"padded": 5056, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "f27bf8791bea2bb9", |
|
"hash_full_prompts": "8d10a77c23af5227", |
|
"hash_input_tokens": "d7f0dd9cbb2d91c9", |
|
"hash_cont_tokens": "e9ed5b0082a3d869" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 87, |
|
"padded": 316, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "74f5bb0098c8916f", |
|
"hash_full_prompts": "413d95029976bdc0", |
|
"hash_input_tokens": "2a640b6627085dba", |
|
"hash_cont_tokens": "5f6692b817c63688" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 236, |
|
"padded": 944, |
|
"non_padded": 0, |
|
"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": "eb352946334ff8d1", |
|
"hash_input_tokens": "54cdccf160a20279", |
|
"hash_cont_tokens": "8a5cb8bf94f5623e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 261, |
|
"padded": 1006, |
|
"non_padded": 0, |
|
"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": "2a452d54ff193c66", |
|
"hash_input_tokens": "039f20afe5e97c18", |
|
"hash_cont_tokens": "9ebc85c909e55335" |
|
}, |
|
"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": "b4720b8e1fc455d0", |
|
"hash_input_tokens": "4a4add1b6424bb61", |
|
"hash_cont_tokens": "1d3a56002edf1106" |
|
}, |
|
"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": "f9c618d57bf91f27", |
|
"hash_input_tokens": "bcdebab2dbacc028", |
|
"hash_cont_tokens": "18d15f68e23ba94e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 64, |
|
"padded": 255, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"hashes": { |
|
"hash_examples": "7a4c38a2c451d075", |
|
"hash_full_prompts": "8c05228be2a8705b", |
|
"hash_input_tokens": "e4e509bd1019623b", |
|
"hash_cont_tokens": "ba9a4485783009f9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1211, |
|
"padded": 3685, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "c04c252836601279", |
|
"hash_full_prompts": "cc6639642a88871b", |
|
"hash_input_tokens": "0554f772237ea65d", |
|
"hash_cont_tokens": "1d8025b28753ee9c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 360, |
|
"padded": 1390, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "18fba1579406b3cc", |
|
"hash_full_prompts": "ba7a112b5c3425f3", |
|
"hash_input_tokens": "a8d06ccf2cbb664d", |
|
"hash_cont_tokens": "f4b4c6700721a710" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 87, |
|
"padded": 348, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"hashes": { |
|
"hash_examples": "7c9e86fba8151562", |
|
"hash_full_prompts": "c0cd152fbb5965e0", |
|
"hash_input_tokens": "48e7db0e1bf6951a", |
|
"hash_cont_tokens": "0550d96917b1eeb0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 137, |
|
"padded": 544, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"hashes": { |
|
"hash_examples": "acfbe4e1f0314b85", |
|
"hash_full_prompts": "b29ad0d02df6bc39", |
|
"hash_input_tokens": "571a1e5f0c87fbb0", |
|
"hash_cont_tokens": "96f49116cfcf3e1e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 864, |
|
"padded": 3213, |
|
"non_padded": 0, |
|
"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": "89eaab4aa27b0ac7", |
|
"hash_input_tokens": "d403417ec6704221", |
|
"hash_cont_tokens": "d7fce9e4228eef28" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 172, |
|
"padded": 628, |
|
"non_padded": 0, |
|
"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": "88daf259cabc9359", |
|
"hash_input_tokens": "a1d6e24f75815f44", |
|
"hash_cont_tokens": "59bc07afae13d3cf" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 162, |
|
"padded": 637, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "e2e329d2bdd9fb7b", |
|
"hash_full_prompts": "96c0aeca8f5df988", |
|
"hash_input_tokens": "196b0e8f7dada5f8", |
|
"hash_cont_tokens": "6c249a9d763a0ba7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1038, |
|
"padded": 4116, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "420b161444291989", |
|
"hash_full_prompts": "8bc6f140899af10a", |
|
"hash_input_tokens": "41a60c012b1289f2", |
|
"hash_cont_tokens": "66d3d90a3e942c0f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 272, |
|
"padded": 975, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "5bc5ca48a4210899", |
|
"hash_full_prompts": "ef1f8e28e1223a1b", |
|
"hash_input_tokens": "8b9032c5ed5c276b", |
|
"hash_cont_tokens": "e3e0c471e6e6fd2f" |
|
}, |
|
"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": "cdc54fdc40b5d53b", |
|
"hash_input_tokens": "5be7f97079c55f5d", |
|
"hash_cont_tokens": "a34daccf81b0dc22" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 760, |
|
"padded": 2962, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "5b9f1973337153a2", |
|
"hash_full_prompts": "c45a89827b9abe14", |
|
"hash_input_tokens": "2b3095cc24d93532", |
|
"hash_cont_tokens": "6cbffa9a615aec7e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 203, |
|
"padded": 746, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "af2469847007c1fe", |
|
"hash_full_prompts": "b64535cba44f5cbf", |
|
"hash_input_tokens": "3f31220a3b17aa95", |
|
"hash_cont_tokens": "21b5c69bf5dce722" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 102, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"hashes": { |
|
"hash_examples": "c8da9b2f16a5ea0f", |
|
"hash_full_prompts": "ffdbb853175ea1df", |
|
"hash_input_tokens": "6bfd3b9ba32c799a", |
|
"hash_cont_tokens": "b3c4f717eb151149" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 639, |
|
"padded": 2417, |
|
"non_padded": 112, |
|
"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": "2d654937ce0dbed7", |
|
"hash_input_tokens": "3f090b8492812a4f", |
|
"hash_cont_tokens": "d2792da8490bbc52" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 334, |
|
"padded": 1271, |
|
"non_padded": 14, |
|
"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": "7f0f281ecdd71a10", |
|
"hash_input_tokens": "b0f8b351307d2a05", |
|
"hash_cont_tokens": "a858e3ec81179e99" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 875, |
|
"non_padded": 8, |
|
"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": "65a56b796fd9e273", |
|
"hash_input_tokens": "29ddfdd492a2ac53", |
|
"hash_cont_tokens": "9c5231b501ad57bc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 999, |
|
"padded": 2957, |
|
"non_padded": 67, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"hashes": { |
|
"hash_examples": "e77f52c8fe4352b3", |
|
"hash_full_prompts": "0ebe9bc78a617dff", |
|
"hash_input_tokens": "a08103bb85948624", |
|
"hash_cont_tokens": "ae554ca47f12b7bb" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 314, |
|
"padded": 1218, |
|
"non_padded": 14, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"hashes": { |
|
"hash_examples": "09682649b04b7327", |
|
"hash_full_prompts": "c49239704968534a", |
|
"hash_input_tokens": "ca6ff2223b8d8653", |
|
"hash_cont_tokens": "9edd3fb6e164a2a0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 75, |
|
"padded": 198, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "edb027bfae7e76f1", |
|
"hash_full_prompts": "5fe3be92a077f421", |
|
"hash_input_tokens": "981cc9db385cfab6", |
|
"hash_cont_tokens": "adf3cbc277150b60" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 409, |
|
"padded": 1288, |
|
"non_padded": 8, |
|
"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": "3d24b123e4c1d90a", |
|
"hash_input_tokens": "e7998b4ec76ce625", |
|
"hash_cont_tokens": "8442fedff4c71c35" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 242, |
|
"padded": 901, |
|
"non_padded": 39, |
|
"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": "33b5b7a36c7679ba", |
|
"hash_input_tokens": "a03cac06127e5af4", |
|
"hash_cont_tokens": "117cd7c8e245ca23" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 336, |
|
"padded": 1200, |
|
"non_padded": 28, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "dc6ebd484a02fca5", |
|
"hash_full_prompts": "d81ff2aa253e9427", |
|
"hash_input_tokens": "8f923cf3d631b6f8", |
|
"hash_cont_tokens": "ae7709efd90706c0" |
|
}, |
|
"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": "934c9c652a79fc0c", |
|
"hash_input_tokens": "30a96709dad2a7d0", |
|
"hash_cont_tokens": "9003d4d7fa29a1f5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 255, |
|
"padded": 1004, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"hashes": { |
|
"hash_examples": "07a4ed6aabbdfd1e", |
|
"hash_full_prompts": "9f9dfb5bec0ca5b2", |
|
"hash_input_tokens": "e750418b3ea7d20f", |
|
"hash_cont_tokens": "87ff36f2bcaae1a1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 210, |
|
"padded": 694, |
|
"non_padded": 16, |
|
"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": "51eea9eeec583ff3", |
|
"hash_input_tokens": "935095204e0844d8", |
|
"hash_cont_tokens": "04638b69db9423e4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 241, |
|
"padded": 897, |
|
"non_padded": 32, |
|
"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": "a78926fcdeeaf957", |
|
"hash_input_tokens": "e69308f92932a5ea", |
|
"hash_cont_tokens": "24fdcd8edf051539" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 705, |
|
"padded": 2021, |
|
"non_padded": 22, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"hashes": { |
|
"hash_examples": "0b557911f2f6d919", |
|
"hash_full_prompts": "537ddcb0dc5fff4b", |
|
"hash_input_tokens": "69fa734fc5d87d5b", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"hashes": { |
|
"hash_examples": "a552d8a0ef294061", |
|
"hash_full_prompts": "325cfde162f99b1b", |
|
"hash_input_tokens": "a6ee2aad69306955", |
|
"hash_cont_tokens": "8591107a7e21e0e1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 135, |
|
"padded": 528, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"hashes": { |
|
"hash_examples": "c4a372d0af7da098", |
|
"hash_full_prompts": "1cb49d59a4ccf34b", |
|
"hash_input_tokens": "e9651ec04de23dad", |
|
"hash_cont_tokens": "5843245898eb2155" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 152, |
|
"padded": 600, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"hashes": { |
|
"hash_examples": "9f71d816abf8af7a", |
|
"hash_full_prompts": "5d1b0f2b004a8f41", |
|
"hash_input_tokens": "53d4b7aed21b3324", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"hashes": { |
|
"hash_examples": "38303cd765589ef3", |
|
"hash_full_prompts": "0a8a7fde2e0da430", |
|
"hash_input_tokens": "6931fb15bc10facb", |
|
"hash_cont_tokens": "44a5c466de15a1c4" |
|
}, |
|
"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": "708ce36d6ef63422", |
|
"hash_input_tokens": "25c503ba058aa5d3", |
|
"hash_cont_tokens": "7117d3ebecc64126" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 144, |
|
"padded": 560, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"hashes": { |
|
"hash_examples": "6f88491d03db8a4c", |
|
"hash_full_prompts": "2c8471078b7c67ac", |
|
"hash_input_tokens": "a1d96763b40e3e90", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"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_computer_science|0": { |
|
"hashes": { |
|
"hash_examples": "ebfdee5ef2ed5e17", |
|
"hash_full_prompts": "eb20bca7b855b3ca", |
|
"hash_input_tokens": "912801f7746b1e90", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"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": "70331dfb3742700c", |
|
"hash_input_tokens": "8f7317c6065794b6", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"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_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "51a5501373afb5a7", |
|
"hash_full_prompts": "5da7e73f90b53ea3", |
|
"hash_input_tokens": "3c3cb82f25a3f8db", |
|
"hash_cont_tokens": "a0d371a62f4fe910" |
|
}, |
|
"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": "382c4af5d90cd200", |
|
"hash_input_tokens": "9ea5905c723fa30f", |
|
"hash_cont_tokens": "cd66500fb80753a8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 102, |
|
"padded": 400, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"hashes": { |
|
"hash_examples": "f8810eddc38dfee4", |
|
"hash_full_prompts": "04510e9bd6ea61b7", |
|
"hash_input_tokens": "90c5d9b30af89c98", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"hashes": { |
|
"hash_examples": "211e32cc43c6b1dc", |
|
"hash_full_prompts": "92235bd938dee2d1", |
|
"hash_input_tokens": "55c88a75138627eb", |
|
"hash_cont_tokens": "3fb8b72098e9d1bf" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 235, |
|
"padded": 916, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"hashes": { |
|
"hash_examples": "810023786b2484d2", |
|
"hash_full_prompts": "d31753e57a56dc47", |
|
"hash_input_tokens": "b41efbebc8bc4eb1", |
|
"hash_cont_tokens": "0718a8bee001d25f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 114, |
|
"padded": 456, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"hashes": { |
|
"hash_examples": "a222760c93eaa1ee", |
|
"hash_full_prompts": "419c9a56bed9542a", |
|
"hash_input_tokens": "34fc04528ddad356", |
|
"hash_cont_tokens": "9471f6be5b3379d2" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 145, |
|
"padded": 556, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"hashes": { |
|
"hash_examples": "4c069aeee64dc227", |
|
"hash_full_prompts": "8e39acf5b5048507", |
|
"hash_input_tokens": "ac2ecd2aba5744bb", |
|
"hash_cont_tokens": "dcb92147e7f469ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 378, |
|
"padded": 1504, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"hashes": { |
|
"hash_examples": "3cb0ccbf8e8a77ae", |
|
"hash_full_prompts": "f0b67e0ec8d2dc4f", |
|
"hash_input_tokens": "c8e02a88c377384f", |
|
"hash_cont_tokens": "d8faf920edf64892" |
|
}, |
|
"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": "a9cb2140d7213eec", |
|
"hash_input_tokens": "7e7246500a4fa36c", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 380, |
|
"non_padded": 20, |
|
"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": "b679b36c38219a39", |
|
"hash_input_tokens": "67a8f46b61ef0487", |
|
"hash_cont_tokens": "a331c89c5167d403" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3813, |
|
"padded": 14876, |
|
"non_padded": 376, |
|
"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": "55fc136b2a9488ca", |
|
"hash_input_tokens": "c6fb4b83b57a478b", |
|
"hash_cont_tokens": "f6719edc5357946c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4016, |
|
"padded": 15676, |
|
"non_padded": 388, |
|
"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": "4237dc8e8b00fe5d", |
|
"hash_input_tokens": "279bdb9d08de51f8", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"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": "0b51a3c1437d77ba", |
|
"hash_input_tokens": "2a881381bdae669c", |
|
"hash_cont_tokens": "46603149b66a63d0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 8152, |
|
"padded": 32204, |
|
"non_padded": 404, |
|
"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": "3e251dea398b3fc0", |
|
"hash_input_tokens": "326b37c74d793e0a", |
|
"hash_cont_tokens": "16d1335254cc9dca" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 198, |
|
"padded": 776, |
|
"non_padded": 16, |
|
"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": "ccd6c95339baaf6f", |
|
"hash_input_tokens": "da91beb5c9d75ec2", |
|
"hash_cont_tokens": "34af4de745cd3896" |
|
}, |
|
"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": "fd4e3bfd02986301", |
|
"hash_input_tokens": "c82817270c3e4be3", |
|
"hash_cont_tokens": "6eebb5dbd8f631ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2891, |
|
"padded": 11236, |
|
"non_padded": 328, |
|
"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": "100d27a6c0b457b3", |
|
"hash_input_tokens": "752edcb48b8bf925", |
|
"hash_cont_tokens": "8b2a776de0c4fad4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 270, |
|
"padded": 1056, |
|
"non_padded": 24, |
|
"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": "e5c574c50e162551", |
|
"hash_input_tokens": "ce98155caea06d83", |
|
"hash_cont_tokens": "eef54aef8840d823" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 944, |
|
"non_padded": 8, |
|
"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": "25c688da22866724", |
|
"hash_input_tokens": "dc00aef07fa0bb37", |
|
"hash_cont_tokens": "210dbf00ee35d635" |
|
}, |
|
"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": "0c168bd61a0567b2", |
|
"hash_input_tokens": "9c8b81d8e92569af", |
|
"hash_cont_tokens": "deb129cb0eb65ff0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 545, |
|
"padded": 2108, |
|
"non_padded": 72, |
|
"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": "39529656c9a0567e", |
|
"hash_input_tokens": "8db22cbd0da7ae67", |
|
"hash_cont_tokens": "6f03af8c01057e01" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4232, |
|
"padded": 16540, |
|
"non_padded": 388, |
|
"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": "1d12383c1ee7ef11", |
|
"hash_input_tokens": "1adfaa17df1855a9", |
|
"hash_cont_tokens": "73a316d22a909fbb" |
|
}, |
|
"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": "7b4a222f852a9320", |
|
"hash_input_tokens": "915f78688a26908c", |
|
"hash_cont_tokens": "3682103cd67810ba" |
|
}, |
|
"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": "1432b26758d08a34", |
|
"hash_input_tokens": "9f1ec4ccf144496f", |
|
"hash_cont_tokens": "e811edf1b9bb2e59" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 223, |
|
"padded": 864, |
|
"non_padded": 28, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"hashes": { |
|
"hash_examples": "47551ab4e5dcf6c5", |
|
"hash_full_prompts": "91dd5645c2c62f38", |
|
"hash_input_tokens": "d8d54800fb4fefc2", |
|
"hash_cont_tokens": "1a26de8b90484f4e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 131, |
|
"padded": 516, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"hashes": { |
|
"hash_examples": "da360336943398d5", |
|
"hash_full_prompts": "6b10ab1448592612", |
|
"hash_input_tokens": "eba2704eeb0ff4ab", |
|
"hash_cont_tokens": "f630cb6ba9f2b948" |
|
}, |
|
"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": "3c515a9030d3f0f3", |
|
"hash_input_tokens": "299ca02151e073bd", |
|
"hash_cont_tokens": "bb24fdca0dbe87c1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 108, |
|
"padded": 424, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"hashes": { |
|
"hash_examples": "5c3926384758bda7", |
|
"hash_full_prompts": "af35fd62cec33750", |
|
"hash_input_tokens": "54f9992fb879bf6a", |
|
"hash_cont_tokens": "daa9c6952a05fc29" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 163, |
|
"padded": 644, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"hashes": { |
|
"hash_examples": "3ce756e6a22ffc48", |
|
"hash_full_prompts": "ff7cbc399741bade", |
|
"hash_input_tokens": "a5cacea49d897f52", |
|
"hash_cont_tokens": "4e39caed94f085e7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 112, |
|
"padded": 440, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"hashes": { |
|
"hash_examples": "20fe769bb3276832", |
|
"hash_full_prompts": "b229a3771f490404", |
|
"hash_input_tokens": "76e98912b78d6386", |
|
"hash_cont_tokens": "f48b3503cd067121" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 103, |
|
"padded": 408, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"hashes": { |
|
"hash_examples": "6b19449559d987ce", |
|
"hash_full_prompts": "83fa7e018c334e7e", |
|
"hash_input_tokens": "08ec4ed2933639bf", |
|
"hash_cont_tokens": "81fe5b7f8e80ab93" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 234, |
|
"padded": 916, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"hashes": { |
|
"hash_examples": "cbb0fa9df0f5435a", |
|
"hash_full_prompts": "da4ddb055eeecdde", |
|
"hash_input_tokens": "b40a51ed7f2b6ead", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"hashes": { |
|
"hash_examples": "0a4134046c23cff9", |
|
"hash_full_prompts": "ed3eef9b6543d862", |
|
"hash_input_tokens": "c036c247f8778dcb", |
|
"hash_cont_tokens": "16127c4832df7430" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2420, |
|
"padded": 9360, |
|
"non_padded": 320, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"hashes": { |
|
"hash_examples": "1ac8a0967c82caa0", |
|
"hash_full_prompts": "9b94a204b28b8f17", |
|
"hash_input_tokens": "8f83d31b6c954f3f", |
|
"hash_cont_tokens": "f640b272dc9f7641" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 346, |
|
"padded": 1352, |
|
"non_padded": 32, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"hashes": { |
|
"hash_examples": "2c0670188bc5a789", |
|
"hash_full_prompts": "9e77443c00622387", |
|
"hash_input_tokens": "f1ef5d1971f3790f", |
|
"hash_cont_tokens": "38a1c9a1e2fad678" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3513, |
|
"non_padded": 67, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"hashes": { |
|
"hash_examples": "658628c0dcdfe201", |
|
"hash_full_prompts": "334a49d368aee510", |
|
"hash_input_tokens": "c7402996610430c2", |
|
"hash_cont_tokens": "2fd812196fd7cb3c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 306, |
|
"padded": 1192, |
|
"non_padded": 32, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"hashes": { |
|
"hash_examples": "8b6707b322affafd", |
|
"hash_full_prompts": "882f013d65321c3f", |
|
"hash_input_tokens": "a22634d37c42f7f3", |
|
"hash_cont_tokens": "d1a9706128e9f3fd" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 311, |
|
"padded": 1200, |
|
"non_padded": 44, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"hashes": { |
|
"hash_examples": "0c85ffcdc9a7b367", |
|
"hash_full_prompts": "30b71d97eb504689", |
|
"hash_input_tokens": "9785e364e4295087", |
|
"hash_cont_tokens": "b9b0e792030ad0c0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 324, |
|
"padded": 1276, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"hashes": { |
|
"hash_examples": "cce1ea2d5f544b2f", |
|
"hash_full_prompts": "d704cb42078dac84", |
|
"hash_input_tokens": "341bdd2f8df9d31f", |
|
"hash_cont_tokens": "455e41dd5142bd9d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4514, |
|
"padded": 17620, |
|
"non_padded": 436, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"hashes": { |
|
"hash_examples": "1c654b024b54eb4b", |
|
"hash_full_prompts": "49f95ed5d97e195d", |
|
"hash_input_tokens": "351b741b3a8e6ad3", |
|
"hash_cont_tokens": "712ab17fbdfdb1b4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7987, |
|
"padded": 31488, |
|
"non_padded": 460, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "c621eaacfa662ebc", |
|
"hash_full_prompts": "2635a5d9ac75c272", |
|
"hash_input_tokens": "7f43b5fa48961a41", |
|
"hash_cont_tokens": "ee6abe9dfb9aae6e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1637, |
|
"padded": 6368, |
|
"non_padded": 180, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"hashes": { |
|
"hash_examples": "bc14a28eaec87dc4", |
|
"hash_full_prompts": "813bff24f22f25c2", |
|
"hash_input_tokens": "f1bbcaba8c72b9a0", |
|
"hash_cont_tokens": "179e572acda3dc77" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3503, |
|
"padded": 13612, |
|
"non_padded": 400, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"hashes": { |
|
"hash_examples": "de4989d9375885c4", |
|
"hash_full_prompts": "25ab68f5f410d451", |
|
"hash_input_tokens": "271629aaf1c7a0f9", |
|
"hash_cont_tokens": "78efbda56054114c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 110, |
|
"padded": 424, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"hashes": { |
|
"hash_examples": "3f84bfeec717c6de", |
|
"hash_full_prompts": "db8db3c23a5b2493", |
|
"hash_input_tokens": "4e6a2ad905cef96a", |
|
"hash_cont_tokens": "8d74a59b8ccf9ddd" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 245, |
|
"padded": 968, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"hashes": { |
|
"hash_examples": "10d7c2fae10bfcbc", |
|
"hash_full_prompts": "e90c867e33588230", |
|
"hash_input_tokens": "6942721e7ea729b1", |
|
"hash_cont_tokens": "2b60214bbecb9723" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 201, |
|
"padded": 796, |
|
"non_padded": 8, |
|
"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": "452534aae5d1b4bf", |
|
"hash_input_tokens": "20b66625effc42f8", |
|
"hash_cont_tokens": "b87d00110975e890" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 388, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"hashes": { |
|
"hash_examples": "290915a48884ede2", |
|
"hash_full_prompts": "6497bae6788341df", |
|
"hash_input_tokens": "ed905fdc13b81d4e", |
|
"hash_cont_tokens": "54c3643ec1321bea" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 166, |
|
"padded": 656, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"hashes": { |
|
"hash_examples": "91cc5451c7284f75", |
|
"hash_full_prompts": "47a8c16108937232", |
|
"hash_input_tokens": "bc2c2437ecb2b28f", |
|
"hash_cont_tokens": "8f671290307f2707" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 171, |
|
"padded": 656, |
|
"non_padded": 28, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"hashes": { |
|
"hash_examples": "25bf94d05f737b63", |
|
"hash_full_prompts": "8bc509322e8909fd", |
|
"hash_input_tokens": "3bd4bd8ea367b7e8", |
|
"hash_cont_tokens": "2a18caf50303eeb1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2399, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "e65fe4df843f4380", |
|
"hash_full_prompts": "609ed2f4d13378fb", |
|
"hash_input_tokens": "868b9eea0a64cfb1", |
|
"hash_cont_tokens": "e2da4a1a2a401723" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1538, |
|
"non_padded": 50, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"hashes": { |
|
"hash_examples": "5d32da36271c5eb4", |
|
"hash_full_prompts": "2b4a6a7eef278de8", |
|
"hash_input_tokens": "9d5913e4ead52b06", |
|
"hash_cont_tokens": "2c577001ed65c555" |
|
}, |
|
"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": "19c97f3a8e4e2f8b", |
|
"hash_input_tokens": "cd1c2ae4b5610c35", |
|
"hash_cont_tokens": "76116a72452a5f58" |
|
}, |
|
"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": "0d53ad96a8cbb97c", |
|
"hash_input_tokens": "f6d7a582195e5d42", |
|
"hash_cont_tokens": "d0c0f41c9ecd0110" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 76, |
|
"padded": 226, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"hashes": { |
|
"hash_examples": "5ad4369b7dc5de46", |
|
"hash_full_prompts": "40e1eeb05ff61cb1", |
|
"hash_input_tokens": "d3ccc9fec376b328", |
|
"hash_cont_tokens": "8c0057bcb724025f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 69, |
|
"padded": 204, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "dc2a632e2dcc86db", |
|
"hash_full_prompts": "175f6e585f98a454", |
|
"hash_input_tokens": "d916126fd098eba3", |
|
"hash_cont_tokens": "5344abc95968b799" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 73, |
|
"padded": 213, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"hashes": { |
|
"hash_examples": "295e35448a39e003", |
|
"hash_full_prompts": "b0c72466750568ad", |
|
"hash_input_tokens": "f415d50e76f951fc", |
|
"hash_cont_tokens": "bd7149fd487c416e" |
|
}, |
|
"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": "b58f80817870683b", |
|
"hash_input_tokens": "47d381a7461b5a37", |
|
"hash_cont_tokens": "e4c76abdefc668b8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 78, |
|
"padded": 225, |
|
"non_padded": 9, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"hashes": { |
|
"hash_examples": "4ac5dccbfbdc5077", |
|
"hash_full_prompts": "16a3efcf2678caf4", |
|
"hash_input_tokens": "413f53e5f9d2d943", |
|
"hash_cont_tokens": "3744873663874059" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 55, |
|
"padded": 146, |
|
"non_padded": 19, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alrage_qa|0": { |
|
"hashes": { |
|
"hash_examples": "3edbbe22cabd4160", |
|
"hash_full_prompts": "4195dab62f606354", |
|
"hash_input_tokens": "c57c8a1a171efe6a", |
|
"hash_cont_tokens": "bfa24e303e54d42c" |
|
}, |
|
"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": "87503c3d4e811cb3", |
|
"hash_input_tokens": "b5f23625e00e4616", |
|
"hash_cont_tokens": "dfafb2ea7d99817d" |
|
}, |
|
"truncated": 129, |
|
"non_truncated": 91733, |
|
"padded": 331989, |
|
"non_padded": 4895, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |