| { | |
| "config_general": { | |
| "lighteval_sha": "?", | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": 0, | |
| "start_time": 737.529863328, | |
| "end_time": 13174.002132227, | |
| "total_evaluation_time_secondes": "12436.472268899", | |
| "model_name": "FreedomIntelligence/AceGPT-v1.5-13B-Chat", | |
| "model_sha": "a239b055af463e1cc299b6d62ad2a3864aa887b4", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "24.49 GB" | |
| }, | |
| "results": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "acc_norm": 0.3770197486535009, | |
| "acc_norm_stderr": 0.020553311001569808 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "acc_norm": 0.38313253012048193, | |
| "acc_norm_stderr": 0.006619344389669438 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "acc_norm": 0.42905027932960893, | |
| "acc_norm_stderr": 0.016553287863116044 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { | |
| "acc_norm": 0.9333333333333333, | |
| "acc_norm_stderr": 0.028997255746722645 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { | |
| "acc_norm": 0.6066666666666667, | |
| "acc_norm_stderr": 0.040018638461474625 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "acc_norm": 0.48, | |
| "acc_norm_stderr": 0.04092881363092387 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "acc_norm": 0.7438398999374609, | |
| "acc_norm_stderr": 0.004882175706540578 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "acc_norm": 0.5284403669724771, | |
| "acc_norm_stderr": 0.0064477461968318476 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "acc_norm": 0.3784883720930233, | |
| "acc_norm_stderr": 0.011698036217990484 | |
| }, | |
| "community|arabic_exams|0": { | |
| "acc_norm": 0.44692737430167595, | |
| "acc_norm_stderr": 0.021474702941383872 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "acc_norm": 0.6486486486486487, | |
| "acc_norm_stderr": 0.05587456343550829 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "acc_norm": 0.4918300653594771, | |
| "acc_norm_stderr": 0.02022513434305727 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.273972602739726, | |
| "acc_norm_stderr": 0.023376494233709258 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "acc_norm": 0.4, | |
| "acc_norm_stderr": 0.024838811988033165 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "acc_norm": 0.6296296296296297, | |
| "acc_norm_stderr": 0.09470524295495535 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "acc_norm": 0.6150793650793651, | |
| "acc_norm_stderr": 0.030712439550759984 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "acc_norm": 0.4038325053229241, | |
| "acc_norm_stderr": 0.013076257244642836 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "acc_norm": 0.41379310344827586, | |
| "acc_norm_stderr": 0.0531089677299068 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "acc_norm": 0.559322033898305, | |
| "acc_norm_stderr": 0.032386029053397845 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "acc_norm": 0.5977011494252874, | |
| "acc_norm_stderr": 0.030410934609937823 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "acc_norm": 0.7777777777777778, | |
| "acc_norm_stderr": 0.08153326507837144 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "acc_norm": 0.6947368421052632, | |
| "acc_norm_stderr": 0.03349781342677419 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "acc_norm": 0.59375, | |
| "acc_norm_stderr": 0.061876853828249374 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "acc_norm": 0.643270024772915, | |
| "acc_norm_stderr": 0.013771263048526324 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "acc_norm": 0.6138888888888889, | |
| "acc_norm_stderr": 0.02569530706139818 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "acc_norm": 0.7931034482758621, | |
| "acc_norm_stderr": 0.04368097459950702 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "acc_norm": 0.5474452554744526, | |
| "acc_norm_stderr": 0.04268118366696233 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "acc_norm": 0.5625, | |
| "acc_norm_stderr": 0.016886704129626052 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "acc_norm": 0.622093023255814, | |
| "acc_norm_stderr": 0.037078492187232796 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "acc_norm": 0.691358024691358, | |
| "acc_norm_stderr": 0.036405421272814084 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "acc_norm": 0.4865125240847784, | |
| "acc_norm_stderr": 0.01552110231776629 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "acc_norm": 0.5772058823529411, | |
| "acc_norm_stderr": 0.030008562845003472 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "acc_norm": 0.5964912280701754, | |
| "acc_norm_stderr": 0.06555933012294902 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "acc_norm": 0.46710526315789475, | |
| "acc_norm_stderr": 0.018109531199734717 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "acc_norm": 0.6157635467980296, | |
| "acc_norm_stderr": 0.03422398565657551 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "acc_norm": 0.5784313725490197, | |
| "acc_norm_stderr": 0.049135952012745024 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "acc_norm": 0.47104851330203446, | |
| "acc_norm_stderr": 0.019761977496536937 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "acc_norm": 0.6317365269461078, | |
| "acc_norm_stderr": 0.02643170629191453 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "acc_norm": 0.6554621848739496, | |
| "acc_norm_stderr": 0.030868682604121633 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "acc_norm": 0.7557557557557557, | |
| "acc_norm_stderr": 0.01359995997127363 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "acc_norm": 0.7292993630573248, | |
| "acc_norm_stderr": 0.02511454920546942 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "acc_norm": 0.7333333333333333, | |
| "acc_norm_stderr": 0.051406640063737345 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "acc_norm": 0.4963325183374083, | |
| "acc_norm_stderr": 0.02475302267035789 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "acc_norm": 0.6776859504132231, | |
| "acc_norm_stderr": 0.03010546489766193 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "acc_norm": 0.7380952380952381, | |
| "acc_norm_stderr": 0.024021797166191464 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "acc_norm": 0.5641025641025641, | |
| "acc_norm_stderr": 0.08044135838502685 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "acc_norm": 0.38823529411764707, | |
| "acc_norm_stderr": 0.030578970343036065 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "acc_norm": 0.580952380952381, | |
| "acc_norm_stderr": 0.03412941259257986 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "acc_norm": 0.4854771784232365, | |
| "acc_norm_stderr": 0.03226124401232391 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "acc_norm": 0.7304964539007093, | |
| "acc_norm_stderr": 0.016722644926049357 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "acc_norm": 0.27, | |
| "acc_norm_stderr": 0.044619604333847394 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "acc_norm": 0.42962962962962964, | |
| "acc_norm_stderr": 0.04276349494376599 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "acc_norm": 0.46710526315789475, | |
| "acc_norm_stderr": 0.040601270352363966 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "acc_norm": 0.44, | |
| "acc_norm_stderr": 0.049888765156985884 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "acc_norm": 0.44528301886792454, | |
| "acc_norm_stderr": 0.030588052974270658 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "acc_norm": 0.3472222222222222, | |
| "acc_norm_stderr": 0.039812405437178615 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "acc_norm": 0.33, | |
| "acc_norm_stderr": 0.04725815626252605 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "acc_norm": 0.33, | |
| "acc_norm_stderr": 0.04725815626252605 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "acc_norm": 0.27, | |
| "acc_norm_stderr": 0.04461960433384741 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "acc_norm": 0.3988439306358382, | |
| "acc_norm_stderr": 0.03733626655383509 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "acc_norm": 0.2647058823529412, | |
| "acc_norm_stderr": 0.04389869956808778 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "acc_norm": 0.59, | |
| "acc_norm_stderr": 0.04943110704237101 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "acc_norm": 0.37872340425531914, | |
| "acc_norm_stderr": 0.03170995606040655 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "acc_norm": 0.3333333333333333, | |
| "acc_norm_stderr": 0.044346007015849245 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "acc_norm": 0.4689655172413793, | |
| "acc_norm_stderr": 0.04158632762097828 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "acc_norm": 0.3306878306878307, | |
| "acc_norm_stderr": 0.024229965298425072 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "acc_norm": 0.30952380952380953, | |
| "acc_norm_stderr": 0.041349130183033156 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "acc_norm": 0.27, | |
| "acc_norm_stderr": 0.044619604333847394 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "acc_norm": 0.49147652766850247, | |
| "acc_norm_stderr": 0.008097117594022821 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "acc_norm": 0.48580677290836655, | |
| "acc_norm_stderr": 0.0078877326812265 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "acc_norm": 0.54, | |
| "acc_norm_stderr": 0.05009082659620333 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "acc_norm": 0.43314524043179586, | |
| "acc_norm_stderr": 0.005488418574789709 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "acc_norm": 0.6464646464646465, | |
| "acc_norm_stderr": 0.03406086723547155 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "acc_norm": 0.6010362694300518, | |
| "acc_norm_stderr": 0.03533999094065696 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "acc_norm": 0.5070909719820131, | |
| "acc_norm_stderr": 0.009299881275358477 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "acc_norm": 0.2851851851851852, | |
| "acc_norm_stderr": 0.027528599210340492 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "acc_norm": 0.4579831932773109, | |
| "acc_norm_stderr": 0.03236361111951941 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "acc_norm": 0.3708609271523179, | |
| "acc_norm_stderr": 0.03943966699183629 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "acc_norm": 0.5834862385321101, | |
| "acc_norm_stderr": 0.021136376504030874 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "acc_norm": 0.4825141776937618, | |
| "acc_norm_stderr": 0.007682149500302539 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "acc_norm": 0.6029411764705882, | |
| "acc_norm_stderr": 0.03434131164719129 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "acc_norm": 0.6835443037974683, | |
| "acc_norm_stderr": 0.03027497488021898 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "acc_norm": 0.45739910313901344, | |
| "acc_norm_stderr": 0.033435777055830646 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "acc_norm": 0.4732824427480916, | |
| "acc_norm_stderr": 0.04379024936553893 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "acc_norm": 0.6198347107438017, | |
| "acc_norm_stderr": 0.04431324501968432 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "acc_norm": 0.5370370370370371, | |
| "acc_norm_stderr": 0.04820403072760627 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "acc_norm": 0.48466257668711654, | |
| "acc_norm_stderr": 0.03926522378708843 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "acc_norm": 0.25, | |
| "acc_norm_stderr": 0.04109974682633932 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "acc_norm": 0.5922330097087378, | |
| "acc_norm_stderr": 0.04865777570410769 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "acc_norm": 0.7008547008547008, | |
| "acc_norm_stderr": 0.02999695185834948 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "acc_norm": 0.34, | |
| "acc_norm_stderr": 0.047609522856952365 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "acc_norm": 0.5136363636363637, | |
| "acc_norm_stderr": 0.010162264527826191 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "acc_norm": 0.49421965317919075, | |
| "acc_norm_stderr": 0.026917296179149116 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "acc_norm": 0.24804469273743016, | |
| "acc_norm_stderr": 0.014444157808261436 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "acc_norm": 0.5392156862745098, | |
| "acc_norm_stderr": 0.028541722692618874 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "acc_norm": 0.5337620578778135, | |
| "acc_norm_stderr": 0.028333277109562807 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "acc_norm": 0.5061728395061729, | |
| "acc_norm_stderr": 0.02781862396258329 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "acc_norm": 0.4743021710234825, | |
| "acc_norm_stderr": 0.007432980291134689 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "acc_norm": 0.4291974458495054, | |
| "acc_norm_stderr": 0.005538687538135698 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "acc_norm": 0.4917532070861332, | |
| "acc_norm_stderr": 0.012360022867504539 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "acc_norm": 0.48958035969169283, | |
| "acc_norm_stderr": 0.008447294030684806 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "acc_norm": 0.5636363636363636, | |
| "acc_norm_stderr": 0.04750185058907296 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "acc_norm": 0.5959183673469388, | |
| "acc_norm_stderr": 0.03141470802586589 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "acc_norm": 0.6865671641791045, | |
| "acc_norm_stderr": 0.03280188205348643 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "acc_norm": 0.71, | |
| "acc_norm_stderr": 0.045604802157206845 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "acc_norm": 0.3493975903614458, | |
| "acc_norm_stderr": 0.0371172519074075 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "acc_norm": 0.5555555555555556, | |
| "acc_norm_stderr": 0.0381107966983353 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "acc_norm": 0.41013071895424835, | |
| "acc_norm_stderr": 0.0198984127176359 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.3561643835616438, | |
| "acc_norm_stderr": 0.025099325515421978 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "acc_norm": 0.7166666666666667, | |
| "acc_norm_stderr": 0.058665318423131226 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "acc_norm": 0.8679245283018868, | |
| "acc_norm_stderr": 0.046951599766681604 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "acc_norm": 0.9210526315789473, | |
| "acc_norm_stderr": 0.03113726201631373 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "acc_norm": 0.5942028985507246, | |
| "acc_norm_stderr": 0.05954802978721339 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "acc_norm": 0.7671232876712328, | |
| "acc_norm_stderr": 0.04981147084308546 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "acc_norm": 0.8245614035087719, | |
| "acc_norm_stderr": 0.05082531275857955 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "acc_norm": 0.5769230769230769, | |
| "acc_norm_stderr": 0.05630192728549231 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "acc_norm": 0.8545454545454545, | |
| "acc_norm_stderr": 0.04797713974560773 | |
| }, | |
| "community|alghafa:_average|0": { | |
| "acc_norm": 0.5399967996785058, | |
| "acc_norm_stderr": 0.019633178801648818 | |
| }, | |
| "community|arabic_mmlu:_average|0": { | |
| "acc_norm": 0.5883313865354431, | |
| "acc_norm_stderr": 0.03561445120561064 | |
| }, | |
| "community|arabic_mmlu_ht:_average|0": { | |
| "acc_norm": 0.4645933784519728, | |
| "acc_norm_stderr": 0.03276961824781839 | |
| }, | |
| "community|madinah_qa:_average|0": { | |
| "acc_norm": 0.3831475512579461, | |
| "acc_norm_stderr": 0.022498869116528937 | |
| }, | |
| "community|aratrust:_average|0": { | |
| "acc_norm": 0.7653749934683451, | |
| "acc_norm_stderr": 0.05015225757826313 | |
| }, | |
| "all": { | |
| "acc_norm": 0.5145713000651769, | |
| "acc_norm_stderr": 0.0324368563187097, | |
| "f1": 0.777380355177452, | |
| "f1_stderr": 0.04571853102499062 | |
| }, | |
| "community|alrage_qa|0": { | |
| "llm_as_judge": 0.6647673314339974, | |
| "llm_as_judge_stderr": 0.00017379086836830128 | |
| } | |
| }, | |
| "versions": { | |
| "community|alghafa:mcq_exams_test_ar|0": 0, | |
| "community|alghafa:meta_ar_dialects|0": 0, | |
| "community|alghafa:meta_ar_msa|0": 0, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": 0, | |
| "community|alghafa:multiple_choice_sentiment_task|0": 0, | |
| "community|arabic_exams|0": 0, | |
| "community|arabic_mmlu:Accounting (University)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (General)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": 0, | |
| "community|arabic_mmlu:Biology (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (High School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (University)|0": 0, | |
| "community|arabic_mmlu:Driving Test|0": 0, | |
| "community|arabic_mmlu:Economics (High School)|0": 0, | |
| "community|arabic_mmlu:Economics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Economics (University)|0": 0, | |
| "community|arabic_mmlu:General Knowledge|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": 0, | |
| "community|arabic_mmlu:Geography (High School)|0": 0, | |
| "community|arabic_mmlu:Geography (Middle School)|0": 0, | |
| "community|arabic_mmlu:Geography (Primary School)|0": 0, | |
| "community|arabic_mmlu:History (High School)|0": 0, | |
| "community|arabic_mmlu:History (Middle School)|0": 0, | |
| "community|arabic_mmlu:History (Primary School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, | |
| "community|arabic_mmlu:Law (Professional)|0": 0, | |
| "community|arabic_mmlu:Management (University)|0": 0, | |
| "community|arabic_mmlu:Math (Primary School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Philosophy (High School)|0": 0, | |
| "community|arabic_mmlu:Physics (High School)|0": 0, | |
| "community|arabic_mmlu:Political Science (University)|0": 0, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": 0, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": 0, | |
| "community|arabic_mmlu_ht:anatomy|0": 0, | |
| "community|arabic_mmlu_ht:astronomy|0": 0, | |
| "community|arabic_mmlu_ht:business_ethics|0": 0, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": 0, | |
| "community|arabic_mmlu_ht:college_biology|0": 0, | |
| "community|arabic_mmlu_ht:college_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:college_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:college_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:college_medicine|0": 0, | |
| "community|arabic_mmlu_ht:college_physics|0": 0, | |
| "community|arabic_mmlu_ht:computer_security|0": 0, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": 0, | |
| "community|arabic_mmlu_ht:econometrics|0": 0, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": 0, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:formal_logic|0": 0, | |
| "community|arabic_mmlu_ht:global_facts|0": 0, | |
| "community|arabic_mmlu_ht:high_school_biology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_geography|0": 0, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_physics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": 0, | |
| "community|arabic_mmlu_ht:human_aging|0": 0, | |
| "community|arabic_mmlu_ht:human_sexuality|0": 0, | |
| "community|arabic_mmlu_ht:international_law|0": 0, | |
| "community|arabic_mmlu_ht:jurisprudence|0": 0, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": 0, | |
| "community|arabic_mmlu_ht:machine_learning|0": 0, | |
| "community|arabic_mmlu_ht:management|0": 0, | |
| "community|arabic_mmlu_ht:marketing|0": 0, | |
| "community|arabic_mmlu_ht:medical_genetics|0": 0, | |
| "community|arabic_mmlu_ht:miscellaneous|0": 0, | |
| "community|arabic_mmlu_ht:moral_disputes|0": 0, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": 0, | |
| "community|arabic_mmlu_ht:nutrition|0": 0, | |
| "community|arabic_mmlu_ht:philosophy|0": 0, | |
| "community|arabic_mmlu_ht:prehistory|0": 0, | |
| "community|arabic_mmlu_ht:professional_accounting|0": 0, | |
| "community|arabic_mmlu_ht:professional_law|0": 0, | |
| "community|arabic_mmlu_ht:professional_medicine|0": 0, | |
| "community|arabic_mmlu_ht:professional_psychology|0": 0, | |
| "community|arabic_mmlu_ht:public_relations|0": 0, | |
| "community|arabic_mmlu_ht:security_studies|0": 0, | |
| "community|arabic_mmlu_ht:sociology|0": 0, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": 0, | |
| "community|arabic_mmlu_ht:virology|0": 0, | |
| "community|arabic_mmlu_ht:world_religions|0": 0, | |
| "community|aratrust:Ethics|0": 0, | |
| "community|aratrust:Illegal|0": 0, | |
| "community|aratrust:MentalHealth|0": 0, | |
| "community|aratrust:Offensive|0": 0, | |
| "community|aratrust:PhysicalHealth|0": 0, | |
| "community|aratrust:Privacy|0": 0, | |
| "community|aratrust:Trustfulness|0": 0, | |
| "community|aratrust:Unfairness|0": 0, | |
| "community|madinah_qa:Arabic Language (General)|0": 0, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": 0, | |
| "community|alrage_qa|0": 0 | |
| }, | |
| "config_tasks": { | |
| "community|alghafa:mcq_exams_test_ar": { | |
| "name": "alghafa:mcq_exams_test_ar", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "mcq_exams_test_ar", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 557, | |
| "effective_num_docs": 557, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects": { | |
| "name": "alghafa:meta_ar_dialects", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_dialects", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5395, | |
| "effective_num_docs": 5395, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa": { | |
| "name": "alghafa:meta_ar_msa", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_msa", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task": { | |
| "name": "alghafa:multiple_choice_facts_truefalse_balanced_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_facts_truefalse_balanced_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_soqal_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_soqal_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7995, | |
| "effective_num_docs": 7995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5995, | |
| "effective_num_docs": 5995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task": { | |
| "name": "alghafa:multiple_choice_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1720, | |
| "effective_num_docs": 1720, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_exams": { | |
| "name": "arabic_exams", | |
| "prompt_function": "arabic_exams_pfn", | |
| "hf_repo": "OALL/Arabic_EXAMS", | |
| "hf_subset": "default", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": null, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 537, | |
| "effective_num_docs": 537, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)": { | |
| "name": "arabic_mmlu:Accounting (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Accounting (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 74, | |
| "effective_num_docs": 74, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)": { | |
| "name": "arabic_mmlu:Arabic Language (General)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)": { | |
| "name": "arabic_mmlu:Arabic Language (Grammar)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)": { | |
| "name": "arabic_mmlu:Arabic Language (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 390, | |
| "effective_num_docs": 390, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)": { | |
| "name": "arabic_mmlu:Arabic Language (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)": { | |
| "name": "arabic_mmlu:Arabic Language (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 252, | |
| "effective_num_docs": 252, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)": { | |
| "name": "arabic_mmlu:Biology (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Biology (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1409, | |
| "effective_num_docs": 1409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)": { | |
| "name": "arabic_mmlu:Civics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)": { | |
| "name": "arabic_mmlu:Civics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 236, | |
| "effective_num_docs": 236, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)": { | |
| "name": "arabic_mmlu:Computer Science (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 261, | |
| "effective_num_docs": 261, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)": { | |
| "name": "arabic_mmlu:Computer Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)": { | |
| "name": "arabic_mmlu:Computer Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 190, | |
| "effective_num_docs": 190, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)": { | |
| "name": "arabic_mmlu:Computer Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 64, | |
| "effective_num_docs": 64, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test": { | |
| "name": "arabic_mmlu:Driving Test", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Driving Test", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1211, | |
| "effective_num_docs": 1211, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)": { | |
| "name": "arabic_mmlu:Economics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 360, | |
| "effective_num_docs": 360, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)": { | |
| "name": "arabic_mmlu:Economics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)": { | |
| "name": "arabic_mmlu:Economics (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 137, | |
| "effective_num_docs": 137, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge": { | |
| "name": "arabic_mmlu:General Knowledge", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 864, | |
| "effective_num_docs": 864, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)": { | |
| "name": "arabic_mmlu:General Knowledge (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 172, | |
| "effective_num_docs": 172, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)": { | |
| "name": "arabic_mmlu:General Knowledge (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 162, | |
| "effective_num_docs": 162, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)": { | |
| "name": "arabic_mmlu:Geography (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1038, | |
| "effective_num_docs": 1038, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)": { | |
| "name": "arabic_mmlu:Geography (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 272, | |
| "effective_num_docs": 272, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)": { | |
| "name": "arabic_mmlu:Geography (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)": { | |
| "name": "arabic_mmlu:History (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 760, | |
| "effective_num_docs": 760, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)": { | |
| "name": "arabic_mmlu:History (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 203, | |
| "effective_num_docs": 203, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)": { | |
| "name": "arabic_mmlu:History (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies": { | |
| "name": "arabic_mmlu:Islamic Studies", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 639, | |
| "effective_num_docs": 639, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)": { | |
| "name": "arabic_mmlu:Islamic Studies (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 334, | |
| "effective_num_docs": 334, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 999, | |
| "effective_num_docs": 999, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)": { | |
| "name": "arabic_mmlu:Law (Professional)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Law (Professional)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 314, | |
| "effective_num_docs": 314, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)": { | |
| "name": "arabic_mmlu:Management (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Management (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)": { | |
| "name": "arabic_mmlu:Math (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Math (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 409, | |
| "effective_num_docs": 409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)": { | |
| "name": "arabic_mmlu:Natural Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 242, | |
| "effective_num_docs": 242, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)": { | |
| "name": "arabic_mmlu:Natural Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 336, | |
| "effective_num_docs": 336, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)": { | |
| "name": "arabic_mmlu:Philosophy (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Philosophy (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 39, | |
| "effective_num_docs": 39, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)": { | |
| "name": "arabic_mmlu:Physics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Physics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 255, | |
| "effective_num_docs": 255, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)": { | |
| "name": "arabic_mmlu:Political Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Political Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 210, | |
| "effective_num_docs": 210, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)": { | |
| "name": "arabic_mmlu:Social Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 241, | |
| "effective_num_docs": 241, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)": { | |
| "name": "arabic_mmlu:Social Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 705, | |
| "effective_num_docs": 705, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra": { | |
| "name": "arabic_mmlu_ht:abstract_algebra", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "abstract_algebra", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy": { | |
| "name": "arabic_mmlu_ht:anatomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "anatomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 135, | |
| "effective_num_docs": 135, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy": { | |
| "name": "arabic_mmlu_ht:astronomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "astronomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 152, | |
| "effective_num_docs": 152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics": { | |
| "name": "arabic_mmlu_ht:business_ethics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "business_ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge": { | |
| "name": "arabic_mmlu_ht:clinical_knowledge", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "clinical_knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 265, | |
| "effective_num_docs": 265, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology": { | |
| "name": "arabic_mmlu_ht:college_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 144, | |
| "effective_num_docs": 144, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry": { | |
| "name": "arabic_mmlu_ht:college_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science": { | |
| "name": "arabic_mmlu_ht:college_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics": { | |
| "name": "arabic_mmlu_ht:college_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine": { | |
| "name": "arabic_mmlu_ht:college_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 173, | |
| "effective_num_docs": 173, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics": { | |
| "name": "arabic_mmlu_ht:college_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security": { | |
| "name": "arabic_mmlu_ht:computer_security", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "computer_security", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics": { | |
| "name": "arabic_mmlu_ht:conceptual_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "conceptual_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 235, | |
| "effective_num_docs": 235, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics": { | |
| "name": "arabic_mmlu_ht:econometrics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "econometrics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 114, | |
| "effective_num_docs": 114, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering": { | |
| "name": "arabic_mmlu_ht:electrical_engineering", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "electrical_engineering", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 145, | |
| "effective_num_docs": 145, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics": { | |
| "name": "arabic_mmlu_ht:elementary_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "elementary_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 378, | |
| "effective_num_docs": 378, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic": { | |
| "name": "arabic_mmlu_ht:formal_logic", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "formal_logic", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 126, | |
| "effective_num_docs": 126, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts": { | |
| "name": "arabic_mmlu_ht:global_facts", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "global_facts", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology": { | |
| "name": "arabic_mmlu_ht:high_school_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3813, | |
| "effective_num_docs": 3813, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry": { | |
| "name": "arabic_mmlu_ht:high_school_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4016, | |
| "effective_num_docs": 4016, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science": { | |
| "name": "arabic_mmlu_ht:high_school_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history": { | |
| "name": "arabic_mmlu_ht:high_school_european_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_european_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 8152, | |
| "effective_num_docs": 8152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography": { | |
| "name": "arabic_mmlu_ht:high_school_geography", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_geography", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 198, | |
| "effective_num_docs": 198, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics": { | |
| "name": "arabic_mmlu_ht:high_school_government_and_politics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_government_and_politics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 193, | |
| "effective_num_docs": 193, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_macroeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_macroeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2891, | |
| "effective_num_docs": 2891, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics": { | |
| "name": "arabic_mmlu_ht:high_school_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 270, | |
| "effective_num_docs": 270, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_microeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_microeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics": { | |
| "name": "arabic_mmlu_ht:high_school_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 151, | |
| "effective_num_docs": 151, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology": { | |
| "name": "arabic_mmlu_ht:high_school_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 545, | |
| "effective_num_docs": 545, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics": { | |
| "name": "arabic_mmlu_ht:high_school_statistics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_statistics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4232, | |
| "effective_num_docs": 4232, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history": { | |
| "name": "arabic_mmlu_ht:high_school_us_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_us_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 204, | |
| "effective_num_docs": 204, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history": { | |
| "name": "arabic_mmlu_ht:high_school_world_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_world_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 237, | |
| "effective_num_docs": 237, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging": { | |
| "name": "arabic_mmlu_ht:human_aging", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_aging", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 223, | |
| "effective_num_docs": 223, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality": { | |
| "name": "arabic_mmlu_ht:human_sexuality", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_sexuality", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 131, | |
| "effective_num_docs": 131, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law": { | |
| "name": "arabic_mmlu_ht:international_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "international_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 121, | |
| "effective_num_docs": 121, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence": { | |
| "name": "arabic_mmlu_ht:jurisprudence", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "jurisprudence", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 108, | |
| "effective_num_docs": 108, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies": { | |
| "name": "arabic_mmlu_ht:logical_fallacies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "logical_fallacies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 163, | |
| "effective_num_docs": 163, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning": { | |
| "name": "arabic_mmlu_ht:machine_learning", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "machine_learning", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 112, | |
| "effective_num_docs": 112, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management": { | |
| "name": "arabic_mmlu_ht:management", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "management", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 103, | |
| "effective_num_docs": 103, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing": { | |
| "name": "arabic_mmlu_ht:marketing", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "marketing", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 234, | |
| "effective_num_docs": 234, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics": { | |
| "name": "arabic_mmlu_ht:medical_genetics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "medical_genetics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous": { | |
| "name": "arabic_mmlu_ht:miscellaneous", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "miscellaneous", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2420, | |
| "effective_num_docs": 2420, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes": { | |
| "name": "arabic_mmlu_ht:moral_disputes", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_disputes", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 346, | |
| "effective_num_docs": 346, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios": { | |
| "name": "arabic_mmlu_ht:moral_scenarios", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_scenarios", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition": { | |
| "name": "arabic_mmlu_ht:nutrition", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "nutrition", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 306, | |
| "effective_num_docs": 306, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy": { | |
| "name": "arabic_mmlu_ht:philosophy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "philosophy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 311, | |
| "effective_num_docs": 311, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory": { | |
| "name": "arabic_mmlu_ht:prehistory", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "prehistory", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 324, | |
| "effective_num_docs": 324, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting": { | |
| "name": "arabic_mmlu_ht:professional_accounting", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_accounting", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4514, | |
| "effective_num_docs": 4514, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law": { | |
| "name": "arabic_mmlu_ht:professional_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7987, | |
| "effective_num_docs": 7987, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine": { | |
| "name": "arabic_mmlu_ht:professional_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1637, | |
| "effective_num_docs": 1637, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology": { | |
| "name": "arabic_mmlu_ht:professional_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3503, | |
| "effective_num_docs": 3503, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations": { | |
| "name": "arabic_mmlu_ht:public_relations", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "public_relations", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 110, | |
| "effective_num_docs": 110, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies": { | |
| "name": "arabic_mmlu_ht:security_studies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "security_studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 245, | |
| "effective_num_docs": 245, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology": { | |
| "name": "arabic_mmlu_ht:sociology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "sociology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 201, | |
| "effective_num_docs": 201, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy": { | |
| "name": "arabic_mmlu_ht:us_foreign_policy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "us_foreign_policy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology": { | |
| "name": "arabic_mmlu_ht:virology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "virology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 166, | |
| "effective_num_docs": 166, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions": { | |
| "name": "arabic_mmlu_ht:world_religions", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "world_religions", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 171, | |
| "effective_num_docs": 171, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Ethics": { | |
| "name": "aratrust:Ethics", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 60, | |
| "effective_num_docs": 60, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Illegal": { | |
| "name": "aratrust:Illegal", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Illegal", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 53, | |
| "effective_num_docs": 53, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:MentalHealth": { | |
| "name": "aratrust:MentalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "MentalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 76, | |
| "effective_num_docs": 76, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Offensive": { | |
| "name": "aratrust:Offensive", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Offensive", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 69, | |
| "effective_num_docs": 69, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth": { | |
| "name": "aratrust:PhysicalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "PhysicalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 73, | |
| "effective_num_docs": 73, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Privacy": { | |
| "name": "aratrust:Privacy", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Privacy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Trustfulness": { | |
| "name": "aratrust:Trustfulness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Trustfulness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 78, | |
| "effective_num_docs": 78, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Unfairness": { | |
| "name": "aratrust:Unfairness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Unfairness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 55, | |
| "effective_num_docs": 55, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)": { | |
| "name": "madinah_qa:Arabic Language (General)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)": { | |
| "name": "madinah_qa:Arabic Language (Grammar)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alrage_qa": { | |
| "name": "alrage_qa", | |
| "prompt_function": "qa_prompt_arabic", | |
| "hf_repo": "OALL/ALRAGE", | |
| "hf_subset": null, | |
| "metric": [ | |
| { | |
| "metric_name": "llm_as_judge", | |
| "higher_is_better": true, | |
| "category": "7", | |
| "use_case": "10", | |
| "sample_level_fn": "_sample_level_fn", | |
| "corpus_level_fn": "aggregate_scores" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": 200, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2106, | |
| "effective_num_docs": 2106, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| } | |
| }, | |
| "summary_tasks": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "hashes": { | |
| "hash_examples": "c07a5e78c5c0b8fe", | |
| "hash_full_prompts": "c07a5e78c5c0b8fe", | |
| "hash_input_tokens": "8e151c22dfeaf718", | |
| "hash_cont_tokens": "2ffdde31b3056742" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 557, | |
| "padded": 2228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "hashes": { | |
| "hash_examples": "c0b6081f83e14064", | |
| "hash_full_prompts": "c0b6081f83e14064", | |
| "hash_input_tokens": "46ea1456e0808911", | |
| "hash_cont_tokens": "03cf757fe4b5e018" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5395, | |
| "padded": 21562, | |
| "non_padded": 18, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "hashes": { | |
| "hash_examples": "64eb78a7c5b7484b", | |
| "hash_full_prompts": "64eb78a7c5b7484b", | |
| "hash_input_tokens": "541f3eb4d4ff74f5", | |
| "hash_cont_tokens": "1901d6d6d747317f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3559, | |
| "non_padded": 21, | |
| "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": "54fc3502c1c02c06", | |
| "hash_input_tokens": "1f7f951332066b45", | |
| "hash_cont_tokens": "5dd347744cb002d3" | |
| }, | |
| "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": "46572d83696552ae", | |
| "hash_input_tokens": "3fc00553c83795e5", | |
| "hash_cont_tokens": "42c9717b90a12b23" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 748, | |
| "non_padded": 2, | |
| "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": "f430d97ff715bc1c", | |
| "hash_input_tokens": "4174c12ce4e64d38", | |
| "hash_cont_tokens": "cc66eb7c735be490" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 746, | |
| "non_padded": 4, | |
| "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": "6b70a7416584f98c", | |
| "hash_input_tokens": "ca75969a33227643", | |
| "hash_cont_tokens": "d0a734e46b9668c3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7995, | |
| "padded": 15990, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "bc2005cc9d2f436e", | |
| "hash_full_prompts": "bc2005cc9d2f436e", | |
| "hash_input_tokens": "99b27e4888644e0f", | |
| "hash_cont_tokens": "8a10deda0293f6f0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5995, | |
| "padded": 17982, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "6fb0e254ea5945d8", | |
| "hash_full_prompts": "6fb0e254ea5945d8", | |
| "hash_input_tokens": "ad51ddec54ebd084", | |
| "hash_cont_tokens": "e7f8a623f5487d6e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1720, | |
| "padded": 5067, | |
| "non_padded": 93, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_exams|0": { | |
| "hashes": { | |
| "hash_examples": "6d721df351722656", | |
| "hash_full_prompts": "6d721df351722656", | |
| "hash_input_tokens": "fff53e2739defdf7", | |
| "hash_cont_tokens": "cd403399a6437d4c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 537, | |
| "padded": 2084, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "hashes": { | |
| "hash_examples": "30e09697562ff9e7", | |
| "hash_full_prompts": "30e09697562ff9e7", | |
| "hash_input_tokens": "6601b48cc819b9f5", | |
| "hash_cont_tokens": "b9fdce757fa0e0b5" | |
| }, | |
| "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": "bef69fb8b3b75f28", | |
| "hash_input_tokens": "988e63d8b54853fe", | |
| "hash_cont_tokens": "0ad97638daccd837" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2400, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "bd066a9e6a140a4b", | |
| "hash_input_tokens": "83cf9d7f6db6fb9e", | |
| "hash_cont_tokens": "b2b42393d50c7a40" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1550, | |
| "non_padded": 38, | |
| "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": "a9c2cd9a9929292a", | |
| "hash_input_tokens": "f6d4dd62ef21d5cf", | |
| "hash_cont_tokens": "c7952627e22bd429" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 390, | |
| "padded": 1513, | |
| "non_padded": 12, | |
| "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": "2f8a77bbbd0e21ff", | |
| "hash_input_tokens": "b0681faa9323cfff", | |
| "hash_cont_tokens": "e0675947a1769915" | |
| }, | |
| "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": "5eed3da47822539b", | |
| "hash_input_tokens": "0cd854cb7ed3947a", | |
| "hash_cont_tokens": "532da4ef100771b5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 252, | |
| "padded": 916, | |
| "non_padded": 10, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "91ae6d22a0f0213d", | |
| "hash_full_prompts": "91ae6d22a0f0213d", | |
| "hash_input_tokens": "4c47319d43942b4f", | |
| "hash_cont_tokens": "5c1b9d95d3ef90f1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1409, | |
| "padded": 4884, | |
| "non_padded": 172, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "f27bf8791bea2bb9", | |
| "hash_full_prompts": "f27bf8791bea2bb9", | |
| "hash_input_tokens": "8d678e32402c0f52", | |
| "hash_cont_tokens": "af4dfe07e12b339c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 314, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "74f5bb0098c8916f", | |
| "hash_full_prompts": "74f5bb0098c8916f", | |
| "hash_input_tokens": "2b0e9fc738b2e9d6", | |
| "hash_cont_tokens": "a8abefb3f54002fa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 236, | |
| "padded": 902, | |
| "non_padded": 42, | |
| "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": "a4278d7b525d46fe", | |
| "hash_input_tokens": "dcb59b64c20413c1", | |
| "hash_cont_tokens": "305fa7f1176c0a96" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 261, | |
| "padded": 954, | |
| "non_padded": 52, | |
| "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": "0cb6c07e4b80dfd4", | |
| "hash_input_tokens": "e409cd78867d0fc1", | |
| "hash_cont_tokens": "7057adc8d70acae8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 92, | |
| "non_padded": 8, | |
| "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": "d96fc1bc32473533", | |
| "hash_input_tokens": "f428af6512ecea59", | |
| "hash_cont_tokens": "f243dc70d7a662b6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 190, | |
| "padded": 472, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "8835587e436cbaff", | |
| "hash_full_prompts": "8835587e436cbaff", | |
| "hash_input_tokens": "39f7fd77b97400e5", | |
| "hash_cont_tokens": "622c2a9754ec4992" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 64, | |
| "padded": 243, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "hashes": { | |
| "hash_examples": "7a4c38a2c451d075", | |
| "hash_full_prompts": "7a4c38a2c451d075", | |
| "hash_input_tokens": "fc2267a68d7e13af", | |
| "hash_cont_tokens": "fd342bd446c9f657" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1211, | |
| "padded": 3541, | |
| "non_padded": 144, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c04c252836601279", | |
| "hash_full_prompts": "c04c252836601279", | |
| "hash_input_tokens": "f5954de57d1aaf47", | |
| "hash_cont_tokens": "11b1f2af01d8f664" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 360, | |
| "padded": 1322, | |
| "non_padded": 68, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "18fba1579406b3cc", | |
| "hash_full_prompts": "18fba1579406b3cc", | |
| "hash_input_tokens": "85fdb16482c753fe", | |
| "hash_cont_tokens": "a1c0249e1d783d40" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 328, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "hashes": { | |
| "hash_examples": "7c9e86fba8151562", | |
| "hash_full_prompts": "7c9e86fba8151562", | |
| "hash_input_tokens": "b3d27f49216d486b", | |
| "hash_cont_tokens": "43716155729a2357" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 137, | |
| "padded": 532, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "acfbe4e1f0314b85", | |
| "hash_full_prompts": "acfbe4e1f0314b85", | |
| "hash_input_tokens": "44dcfcc2c7434386", | |
| "hash_cont_tokens": "0515b7d769710412" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 864, | |
| "padded": 3154, | |
| "non_padded": 59, | |
| "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": "03cd0ecf10224316", | |
| "hash_input_tokens": "93d2474fe80041d4", | |
| "hash_cont_tokens": "3b575fe4c129b755" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 172, | |
| "padded": 589, | |
| "non_padded": 39, | |
| "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": "c3ee30196e05e122", | |
| "hash_input_tokens": "bbebc4a8ad5cf18d", | |
| "hash_cont_tokens": "39d764dbe032cf64" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 162, | |
| "padded": 633, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "e2e329d2bdd9fb7b", | |
| "hash_full_prompts": "e2e329d2bdd9fb7b", | |
| "hash_input_tokens": "a75443d0d0e3a54b", | |
| "hash_cont_tokens": "81fc08ebe2325b45" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1038, | |
| "padded": 3956, | |
| "non_padded": 160, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "420b161444291989", | |
| "hash_full_prompts": "420b161444291989", | |
| "hash_input_tokens": "7b7883b04bceb64f", | |
| "hash_cont_tokens": "1d8526a8e3525ac7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 272, | |
| "padded": 955, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5bc5ca48a4210899", | |
| "hash_full_prompts": "5bc5ca48a4210899", | |
| "hash_input_tokens": "0445d93c6dc3553f", | |
| "hash_cont_tokens": "e29f9ba389dbecad" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 212, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c7cc37f29311bea1", | |
| "hash_full_prompts": "c7cc37f29311bea1", | |
| "hash_input_tokens": "a3b88365f03df468", | |
| "hash_cont_tokens": "5cc4ad52f8bbceda" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 760, | |
| "padded": 2822, | |
| "non_padded": 140, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "5b9f1973337153a2", | |
| "hash_full_prompts": "5b9f1973337153a2", | |
| "hash_input_tokens": "a3f8596c7e10120a", | |
| "hash_cont_tokens": "db8951a6b39b43cb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 203, | |
| "padded": 718, | |
| "non_padded": 28, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "af2469847007c1fe", | |
| "hash_full_prompts": "af2469847007c1fe", | |
| "hash_input_tokens": "b67091edd6d6165c", | |
| "hash_cont_tokens": "a5ea7c8630fc7498" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 376, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "hashes": { | |
| "hash_examples": "c8da9b2f16a5ea0f", | |
| "hash_full_prompts": "c8da9b2f16a5ea0f", | |
| "hash_input_tokens": "e3b49e227b1bf11e", | |
| "hash_cont_tokens": "c3cb3f831a3a523c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 639, | |
| "padded": 2431, | |
| "non_padded": 98, | |
| "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": "efb11bc8ef398117", | |
| "hash_input_tokens": "e9035160cd532acc", | |
| "hash_cont_tokens": "c943e3ef46640a33" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 334, | |
| "padded": 1234, | |
| "non_padded": 51, | |
| "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": "9e33ab030eebdb99", | |
| "hash_input_tokens": "8a5f2795fb4bd1f0", | |
| "hash_cont_tokens": "04d3cf3eb50b6a87" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 863, | |
| "non_padded": 20, | |
| "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": "4167565d878b20eb", | |
| "hash_input_tokens": "5ec156ed758b5bf3", | |
| "hash_cont_tokens": "7abd556988f36623" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 999, | |
| "padded": 2945, | |
| "non_padded": 79, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "hashes": { | |
| "hash_examples": "e77f52c8fe4352b3", | |
| "hash_full_prompts": "e77f52c8fe4352b3", | |
| "hash_input_tokens": "b0280904882905d7", | |
| "hash_cont_tokens": "3a938176e614a705" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 314, | |
| "padded": 1219, | |
| "non_padded": 13, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "hashes": { | |
| "hash_examples": "09682649b04b7327", | |
| "hash_full_prompts": "09682649b04b7327", | |
| "hash_input_tokens": "94293ea5613518f1", | |
| "hash_cont_tokens": "4355754fb9b395f1" | |
| }, | |
| "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": "edb027bfae7e76f1", | |
| "hash_input_tokens": "f9ae8e04134382c2", | |
| "hash_cont_tokens": "d17e44f35c7daef9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 409, | |
| "padded": 1262, | |
| "non_padded": 34, | |
| "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": "96e72c9094c2364c", | |
| "hash_input_tokens": "7f77cf456dab2a88", | |
| "hash_cont_tokens": "6395fa16036a74a6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 242, | |
| "padded": 912, | |
| "non_padded": 28, | |
| "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": "69e35bad3dec5a4d", | |
| "hash_input_tokens": "efe860e2333ce027", | |
| "hash_cont_tokens": "9947a0f508d1b991" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 336, | |
| "padded": 1180, | |
| "non_padded": 48, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "dc6ebd484a02fca5", | |
| "hash_full_prompts": "dc6ebd484a02fca5", | |
| "hash_input_tokens": "fd5f34b122a5466f", | |
| "hash_cont_tokens": "713a5834636f4b0a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 39, | |
| "padded": 152, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "58a1722472c9e644", | |
| "hash_full_prompts": "58a1722472c9e644", | |
| "hash_input_tokens": "ad0b2c706948dcda", | |
| "hash_cont_tokens": "dfc88c66832d89f6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 255, | |
| "padded": 960, | |
| "non_padded": 60, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "07a4ed6aabbdfd1e", | |
| "hash_full_prompts": "07a4ed6aabbdfd1e", | |
| "hash_input_tokens": "e6a0ecf90b714c82", | |
| "hash_cont_tokens": "fa92540465daf162" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 210, | |
| "padded": 666, | |
| "non_padded": 44, | |
| "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": "8ca955902f304664", | |
| "hash_input_tokens": "e3474f4371bba963", | |
| "hash_cont_tokens": "669ee413663be3c9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 241, | |
| "padded": 905, | |
| "non_padded": 24, | |
| "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": "934025ab3738123c", | |
| "hash_input_tokens": "3fea8e22b33da51b", | |
| "hash_cont_tokens": "ddc6ab0a1f14ad8d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 705, | |
| "padded": 2011, | |
| "non_padded": 32, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "hashes": { | |
| "hash_examples": "0b557911f2f6d919", | |
| "hash_full_prompts": "0b557911f2f6d919", | |
| "hash_input_tokens": "0b149eec6fff8ad2", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "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": "a552d8a0ef294061", | |
| "hash_input_tokens": "9a7cc692c5475182", | |
| "hash_cont_tokens": "4122c22f70611a71" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 135, | |
| "padded": 516, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "hashes": { | |
| "hash_examples": "c4a372d0af7da098", | |
| "hash_full_prompts": "c4a372d0af7da098", | |
| "hash_input_tokens": "21433503a35b7b9f", | |
| "hash_cont_tokens": "9e115bbb4624dab2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 152, | |
| "padded": 576, | |
| "non_padded": 32, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "hashes": { | |
| "hash_examples": "9f71d816abf8af7a", | |
| "hash_full_prompts": "9f71d816abf8af7a", | |
| "hash_input_tokens": "7145e3687c6d3d30", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 392, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "38303cd765589ef3", | |
| "hash_full_prompts": "38303cd765589ef3", | |
| "hash_input_tokens": "320386d3ebeaf540", | |
| "hash_cont_tokens": "dfb057c876d7b7d1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 265, | |
| "padded": 1016, | |
| "non_padded": 44, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "hashes": { | |
| "hash_examples": "dbd9b5d318e60b04", | |
| "hash_full_prompts": "dbd9b5d318e60b04", | |
| "hash_input_tokens": "67c5cb29590edaa7", | |
| "hash_cont_tokens": "71fe5c602815d71c" | |
| }, | |
| "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": "6f88491d03db8a4c", | |
| "hash_input_tokens": "cde1022e65e5b151", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "ebfdee5ef2ed5e17", | |
| "hash_full_prompts": "ebfdee5ef2ed5e17", | |
| "hash_input_tokens": "2ed84d2868e720c6", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "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": "e3f22cd7712aae2f", | |
| "hash_input_tokens": "a9e4c611772c57fd", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 388, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "51a5501373afb5a7", | |
| "hash_full_prompts": "51a5501373afb5a7", | |
| "hash_input_tokens": "c609a46b89db9a01", | |
| "hash_cont_tokens": "67dc34623443a1e7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 173, | |
| "padded": 660, | |
| "non_padded": 32, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "hashes": { | |
| "hash_examples": "2d3e015989b108db", | |
| "hash_full_prompts": "2d3e015989b108db", | |
| "hash_input_tokens": "5e3a4fc872f609b4", | |
| "hash_cont_tokens": "c3d82396534571b1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 396, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "hashes": { | |
| "hash_examples": "f8810eddc38dfee4", | |
| "hash_full_prompts": "f8810eddc38dfee4", | |
| "hash_input_tokens": "7d7f0463b5f9876c", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 384, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "hashes": { | |
| "hash_examples": "211e32cc43c6b1dc", | |
| "hash_full_prompts": "211e32cc43c6b1dc", | |
| "hash_input_tokens": "b4b857a9d81fa59e", | |
| "hash_cont_tokens": "528cfb1d10170a06" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 235, | |
| "padded": 900, | |
| "non_padded": 40, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "hashes": { | |
| "hash_examples": "810023786b2484d2", | |
| "hash_full_prompts": "810023786b2484d2", | |
| "hash_input_tokens": "ea9b0d784ed6d3b4", | |
| "hash_cont_tokens": "a24a775906af93a7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 114, | |
| "padded": 448, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "hashes": { | |
| "hash_examples": "a222760c93eaa1ee", | |
| "hash_full_prompts": "a222760c93eaa1ee", | |
| "hash_input_tokens": "2e527949fd3973e7", | |
| "hash_cont_tokens": "67859ce4caabcbf6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 145, | |
| "padded": 560, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "4c069aeee64dc227", | |
| "hash_full_prompts": "4c069aeee64dc227", | |
| "hash_input_tokens": "b44742a404cae1f9", | |
| "hash_cont_tokens": "4db107de29530e88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 378, | |
| "padded": 1500, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "hashes": { | |
| "hash_examples": "3cb0ccbf8e8a77ae", | |
| "hash_full_prompts": "3cb0ccbf8e8a77ae", | |
| "hash_input_tokens": "dcac683f6dd9217f", | |
| "hash_cont_tokens": "7e8a9a604a690f7d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 126, | |
| "padded": 496, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "hashes": { | |
| "hash_examples": "c1d039e64ea321b9", | |
| "hash_full_prompts": "c1d039e64ea321b9", | |
| "hash_input_tokens": "879cd94bf0b7cd6d", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "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_biology|0": { | |
| "hashes": { | |
| "hash_examples": "ddcb8237bb4ba08a", | |
| "hash_full_prompts": "ddcb8237bb4ba08a", | |
| "hash_input_tokens": "c5327ecdad6bbc76", | |
| "hash_cont_tokens": "0efe1e830248e6bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3813, | |
| "padded": 14848, | |
| "non_padded": 404, | |
| "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": "07061b55c5c436d9", | |
| "hash_input_tokens": "0bd4339d9db4ec81", | |
| "hash_cont_tokens": "7d8f7102fdcdee06" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4016, | |
| "padded": 15636, | |
| "non_padded": 428, | |
| "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": "8d3405483d5fdcff", | |
| "hash_input_tokens": "6c53178cd983edf6", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 388, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "hashes": { | |
| "hash_examples": "031c49a430356414", | |
| "hash_full_prompts": "031c49a430356414", | |
| "hash_input_tokens": "83904c35466c15ef", | |
| "hash_cont_tokens": "7065798e4be561c9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 8152, | |
| "padded": 32124, | |
| "non_padded": 484, | |
| "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": "d0ce2b019a66c1de", | |
| "hash_input_tokens": "5a351a3dd8774a2f", | |
| "hash_cont_tokens": "7dcb2b397f2899dc" | |
| }, | |
| "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": "7d7c6d476d0576b1", | |
| "hash_input_tokens": "aa648432c2238e3f", | |
| "hash_cont_tokens": "1e5c1142db714c00" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 193, | |
| "padded": 764, | |
| "non_padded": 8, | |
| "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": "694d3a01c6144ddb", | |
| "hash_input_tokens": "de781dc85022558d", | |
| "hash_cont_tokens": "52ef1df59ddc4b6e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2891, | |
| "padded": 11248, | |
| "non_padded": 316, | |
| "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": "004f9c0a40b5ec10", | |
| "hash_input_tokens": "cd9deac49809e6e0", | |
| "hash_cont_tokens": "8e39aba941948a67" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 270, | |
| "padded": 1044, | |
| "non_padded": 36, | |
| "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": "80cf03d462e6ccbc", | |
| "hash_input_tokens": "86b5ff81a755baca", | |
| "hash_cont_tokens": "fb290d2239a20213" | |
| }, | |
| "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": "92218def5b383845", | |
| "hash_input_tokens": "7eadd6169ee0bcab", | |
| "hash_cont_tokens": "85a8c5003a5c3167" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 151, | |
| "padded": 600, | |
| "non_padded": 4, | |
| "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": "323f7848fee32e58", | |
| "hash_input_tokens": "e935029f11605583", | |
| "hash_cont_tokens": "879a27397842c6ca" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 545, | |
| "padded": 2132, | |
| "non_padded": 48, | |
| "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": "d7bbe0d037cf31ec", | |
| "hash_input_tokens": "a480f3478798a365", | |
| "hash_cont_tokens": "10dc12ad013a60b0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4232, | |
| "padded": 16496, | |
| "non_padded": 432, | |
| "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": "722ec9207e3b0e04", | |
| "hash_input_tokens": "b5679293cae67afd", | |
| "hash_cont_tokens": "b1b9db54238dfbb8" | |
| }, | |
| "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": "b5eb675d3b578584", | |
| "hash_input_tokens": "a7c7a65568b7cf28", | |
| "hash_cont_tokens": "9ccd5f151ae77cab" | |
| }, | |
| "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": "713ac79cd2dd2d7b", | |
| "hash_input_tokens": "8ea67eaee2e41bc3", | |
| "hash_cont_tokens": "a2becbf3e3e77f4f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 223, | |
| "padded": 824, | |
| "non_padded": 68, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "hashes": { | |
| "hash_examples": "47551ab4e5dcf6c5", | |
| "hash_full_prompts": "47551ab4e5dcf6c5", | |
| "hash_input_tokens": "e889b3f28e736268", | |
| "hash_cont_tokens": "0fa1ff2729277dca" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 131, | |
| "padded": 520, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "hashes": { | |
| "hash_examples": "da360336943398d5", | |
| "hash_full_prompts": "da360336943398d5", | |
| "hash_input_tokens": "52b352bd72700580", | |
| "hash_cont_tokens": "58257f147c7dcefa" | |
| }, | |
| "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": "661d161a486fb035", | |
| "hash_input_tokens": "ceaedf4732f46e17", | |
| "hash_cont_tokens": "693ea75cc37656ed" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 108, | |
| "padded": 428, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "hashes": { | |
| "hash_examples": "5c3926384758bda7", | |
| "hash_full_prompts": "5c3926384758bda7", | |
| "hash_input_tokens": "a31b51284a8ce4bc", | |
| "hash_cont_tokens": "239166980021cf9f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 163, | |
| "padded": 616, | |
| "non_padded": 36, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "hashes": { | |
| "hash_examples": "3ce756e6a22ffc48", | |
| "hash_full_prompts": "3ce756e6a22ffc48", | |
| "hash_input_tokens": "ff63ff95276a1e7e", | |
| "hash_cont_tokens": "6bce033cb0089aa1" | |
| }, | |
| "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": "20fe769bb3276832", | |
| "hash_input_tokens": "5afeb6342dad13c3", | |
| "hash_cont_tokens": "e7399dc664d5411e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 103, | |
| "padded": 400, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "hashes": { | |
| "hash_examples": "6b19449559d987ce", | |
| "hash_full_prompts": "6b19449559d987ce", | |
| "hash_input_tokens": "b4d7f29193c56927", | |
| "hash_cont_tokens": "edca4400522e2a1c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 234, | |
| "padded": 896, | |
| "non_padded": 40, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "hashes": { | |
| "hash_examples": "cbb0fa9df0f5435a", | |
| "hash_full_prompts": "cbb0fa9df0f5435a", | |
| "hash_input_tokens": "2fd41278ee782177", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 380, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "hashes": { | |
| "hash_examples": "0a4134046c23cff9", | |
| "hash_full_prompts": "0a4134046c23cff9", | |
| "hash_input_tokens": "f2b11b1a4c0f4e3f", | |
| "hash_cont_tokens": "d981b1fa928a1f6d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2420, | |
| "padded": 9392, | |
| "non_padded": 288, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "hashes": { | |
| "hash_examples": "1ac8a0967c82caa0", | |
| "hash_full_prompts": "1ac8a0967c82caa0", | |
| "hash_input_tokens": "61ef222788b43263", | |
| "hash_cont_tokens": "56f6132ef0181ee7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 346, | |
| "padded": 1340, | |
| "non_padded": 44, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "hashes": { | |
| "hash_examples": "2c0670188bc5a789", | |
| "hash_full_prompts": "2c0670188bc5a789", | |
| "hash_input_tokens": "d3b249994d3bf651", | |
| "hash_cont_tokens": "4f0f1c52461a0fbb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3580, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "hashes": { | |
| "hash_examples": "658628c0dcdfe201", | |
| "hash_full_prompts": "658628c0dcdfe201", | |
| "hash_input_tokens": "5d9813a6cada1aa8", | |
| "hash_cont_tokens": "7481b847aa476714" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 306, | |
| "padded": 1204, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "hashes": { | |
| "hash_examples": "8b6707b322affafd", | |
| "hash_full_prompts": "8b6707b322affafd", | |
| "hash_input_tokens": "4cb1e0187aa5719c", | |
| "hash_cont_tokens": "6dca32c173424c87" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 311, | |
| "padded": 1196, | |
| "non_padded": 48, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "hashes": { | |
| "hash_examples": "0c85ffcdc9a7b367", | |
| "hash_full_prompts": "0c85ffcdc9a7b367", | |
| "hash_input_tokens": "74b96cffba063fb4", | |
| "hash_cont_tokens": "30fed1f015e456bc" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 324, | |
| "padded": 1248, | |
| "non_padded": 48, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "hashes": { | |
| "hash_examples": "cce1ea2d5f544b2f", | |
| "hash_full_prompts": "cce1ea2d5f544b2f", | |
| "hash_input_tokens": "3525977e16c8d717", | |
| "hash_cont_tokens": "e061e57ab7ea7c3e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4514, | |
| "padded": 17604, | |
| "non_padded": 452, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "hashes": { | |
| "hash_examples": "1c654b024b54eb4b", | |
| "hash_full_prompts": "1c654b024b54eb4b", | |
| "hash_input_tokens": "9ac71f69015e3d4a", | |
| "hash_cont_tokens": "9b17d1196f37f64e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7987, | |
| "padded": 31464, | |
| "non_padded": 484, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "c621eaacfa662ebc", | |
| "hash_full_prompts": "c621eaacfa662ebc", | |
| "hash_input_tokens": "0eab1d5b4ae518df", | |
| "hash_cont_tokens": "b1f3abcac825e9c1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1637, | |
| "padded": 6376, | |
| "non_padded": 172, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "bc14a28eaec87dc4", | |
| "hash_full_prompts": "bc14a28eaec87dc4", | |
| "hash_input_tokens": "a64704069293e614", | |
| "hash_cont_tokens": "751f0e72cd8b5d53" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3503, | |
| "padded": 13640, | |
| "non_padded": 372, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "hashes": { | |
| "hash_examples": "de4989d9375885c4", | |
| "hash_full_prompts": "de4989d9375885c4", | |
| "hash_input_tokens": "6d36de3d12d4da33", | |
| "hash_cont_tokens": "d87ce21c2641acbc" | |
| }, | |
| "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": "3f84bfeec717c6de", | |
| "hash_input_tokens": "60eff91f000ae2a8", | |
| "hash_cont_tokens": "c6fd8ead17c21369" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 245, | |
| "padded": 976, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "hashes": { | |
| "hash_examples": "10d7c2fae10bfcbc", | |
| "hash_full_prompts": "10d7c2fae10bfcbc", | |
| "hash_input_tokens": "5203086a50076d4a", | |
| "hash_cont_tokens": "b9119e5745ee6117" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 201, | |
| "padded": 792, | |
| "non_padded": 12, | |
| "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": "bb05f02c38ddaf1a", | |
| "hash_input_tokens": "03bc04727f0549bb", | |
| "hash_cont_tokens": "3c119595d829a161" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 392, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "hashes": { | |
| "hash_examples": "290915a48884ede2", | |
| "hash_full_prompts": "290915a48884ede2", | |
| "hash_input_tokens": "26098f5d756e0692", | |
| "hash_cont_tokens": "75c09075014f1114" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 166, | |
| "padded": 644, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "hashes": { | |
| "hash_examples": "91cc5451c7284f75", | |
| "hash_full_prompts": "91cc5451c7284f75", | |
| "hash_input_tokens": "ae568499ad052b0f", | |
| "hash_cont_tokens": "ecb299c479136706" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 171, | |
| "padded": 628, | |
| "non_padded": 56, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "bef69fb8b3b75f28", | |
| "hash_input_tokens": "be12cf58af002207", | |
| "hash_cont_tokens": "bd9c5ee9da4be55d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2313, | |
| "non_padded": 90, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "bd066a9e6a140a4b", | |
| "hash_input_tokens": "02602f59a464fa12", | |
| "hash_cont_tokens": "457ed85be3e36aff" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1541, | |
| "non_padded": 47, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "hashes": { | |
| "hash_examples": "5d32da36271c5eb4", | |
| "hash_full_prompts": "5d32da36271c5eb4", | |
| "hash_input_tokens": "01d16e65cde907e6", | |
| "hash_cont_tokens": "9403afe6be071fd3" | |
| }, | |
| "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": "0c07f1f100f2d0e8", | |
| "hash_input_tokens": "d7f56a58533d0d87", | |
| "hash_cont_tokens": "c4c1d582c3de428f" | |
| }, | |
| "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": "8e5fc5c4704bd96b", | |
| "hash_input_tokens": "e347746ad4169b12", | |
| "hash_cont_tokens": "ddece1b0a9316221" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 76, | |
| "padded": 223, | |
| "non_padded": 5, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "hashes": { | |
| "hash_examples": "5ad4369b7dc5de46", | |
| "hash_full_prompts": "5ad4369b7dc5de46", | |
| "hash_input_tokens": "256c3bdc2b586b58", | |
| "hash_cont_tokens": "a7133b9cc89b9225" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 69, | |
| "padded": 192, | |
| "non_padded": 15, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "dc2a632e2dcc86db", | |
| "hash_full_prompts": "dc2a632e2dcc86db", | |
| "hash_input_tokens": "f42c012c7a130ed1", | |
| "hash_cont_tokens": "638273625d8ef1dc" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 73, | |
| "padded": 216, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "hashes": { | |
| "hash_examples": "295e35448a39e003", | |
| "hash_full_prompts": "295e35448a39e003", | |
| "hash_input_tokens": "059c18dd5b51365b", | |
| "hash_cont_tokens": "1dc5174807ee41ed" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 159, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "hashes": { | |
| "hash_examples": "e79ac1ea5439e623", | |
| "hash_full_prompts": "e79ac1ea5439e623", | |
| "hash_input_tokens": "4bfdd5a10ca79604", | |
| "hash_cont_tokens": "cc05ef6e19e62e40" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 78, | |
| "padded": 231, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "hashes": { | |
| "hash_examples": "4ac5dccbfbdc5077", | |
| "hash_full_prompts": "4ac5dccbfbdc5077", | |
| "hash_input_tokens": "ead63c6ec3b29465", | |
| "hash_cont_tokens": "1cf99947d87c13f3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 55, | |
| "padded": 158, | |
| "non_padded": 7, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alrage_qa|0": { | |
| "hashes": { | |
| "hash_examples": "3edbbe22cabd4160", | |
| "hash_full_prompts": "3edbbe22cabd4160", | |
| "hash_input_tokens": "51ded40dc06ffd51", | |
| "hash_cont_tokens": "ca57d8b40fbd9f82" | |
| }, | |
| "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": "b8b3b49631adcc40", | |
| "hash_input_tokens": "3167c70ef251cd67", | |
| "hash_cont_tokens": "c85281cda6207bab" | |
| }, | |
| "truncated": 56, | |
| "non_truncated": 91806, | |
| "padded": 330199, | |
| "non_padded": 6685, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |