|
{ |
|
"config_general": { |
|
"lighteval_sha": "?", |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": 0, |
|
"start_time": 718.346433015, |
|
"end_time": 4945.569198387, |
|
"total_evaluation_time_secondes": "4227.222765372", |
|
"model_name": "ALLaM-AI/ALLaM-7B-Instruct-preview", |
|
"model_sha": "661e616893aaa90a934e02de5b5030a8c0899e01", |
|
"model_dtype": "torch.bfloat16", |
|
"model_size": "13.04 GB" |
|
}, |
|
"results": { |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"acc_norm": 0.6239110287303058, |
|
"acc_norm_stderr": 0.006595552160200563 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"acc_norm": 0.7240223463687151, |
|
"acc_norm_stderr": 0.01495010300247536 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { |
|
"acc_norm": 0.9466666666666667, |
|
"acc_norm_stderr": 0.026120533728893863 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { |
|
"acc_norm": 0.7666666666666667, |
|
"acc_norm_stderr": 0.034649625823724106 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { |
|
"acc_norm": 0.8, |
|
"acc_norm_stderr": 0.032769276820761584 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { |
|
"acc_norm": 0.7599749843652283, |
|
"acc_norm_stderr": 0.0047768964812977 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": { |
|
"acc_norm": 0.5239366138448708, |
|
"acc_norm_stderr": 0.006450797305151195 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"acc_norm": 0.413953488372093, |
|
"acc_norm_stderr": 0.011879656347106292 |
|
}, |
|
"community|arabic_exams|0": { |
|
"acc_norm": 0.515828677839851, |
|
"acc_norm_stderr": 0.021585885942816248 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"acc_norm": 0.6486486486486487, |
|
"acc_norm_stderr": 0.05587456343550829 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)|0": { |
|
"acc_norm": 0.6372549019607843, |
|
"acc_norm_stderr": 0.019450768432505518 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.3041095890410959, |
|
"acc_norm_stderr": 0.024112086414249185 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"acc_norm": 0.441025641025641, |
|
"acc_norm_stderr": 0.025174048384000745 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": { |
|
"acc_norm": 0.5925925925925926, |
|
"acc_norm_stderr": 0.09636202008710973 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": { |
|
"acc_norm": 0.8174603174603174, |
|
"acc_norm_stderr": 0.02438232548727274 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"acc_norm": 0.4804826117814053, |
|
"acc_norm_stderr": 0.013314889125063314 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"acc_norm": 0.4482758620689655, |
|
"acc_norm_stderr": 0.05362711627041053 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"acc_norm": 0.5932203389830508, |
|
"acc_norm_stderr": 0.03204451480926517 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"acc_norm": 0.6398467432950191, |
|
"acc_norm_stderr": 0.029771106823548586 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"acc_norm": 0.9629629629629629, |
|
"acc_norm_stderr": 0.037037037037037035 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"acc_norm": 0.7473684210526316, |
|
"acc_norm_stderr": 0.03160678249711168 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)|0": { |
|
"acc_norm": 0.6875, |
|
"acc_norm_stderr": 0.058397074018894594 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"acc_norm": 0.6763005780346821, |
|
"acc_norm_stderr": 0.013450801266023117 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"acc_norm": 0.5916666666666667, |
|
"acc_norm_stderr": 0.025941718598624094 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"acc_norm": 0.6781609195402298, |
|
"acc_norm_stderr": 0.05037749206122548 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"acc_norm": 0.5620437956204379, |
|
"acc_norm_stderr": 0.04254327964356943 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"acc_norm": 0.6944444444444444, |
|
"acc_norm_stderr": 0.015680447339459797 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"acc_norm": 0.6744186046511628, |
|
"acc_norm_stderr": 0.03583410038767278 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"acc_norm": 0.7160493827160493, |
|
"acc_norm_stderr": 0.0355369341792062 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"acc_norm": 0.5173410404624278, |
|
"acc_norm_stderr": 0.015517411389628906 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"acc_norm": 0.6544117647058824, |
|
"acc_norm_stderr": 0.028888193103988644 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"acc_norm": 0.7719298245614035, |
|
"acc_norm_stderr": 0.056069817847611766 |
|
}, |
|
"community|arabic_mmlu:History (High School)|0": { |
|
"acc_norm": 0.45526315789473687, |
|
"acc_norm_stderr": 0.01807605856446277 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"acc_norm": 0.7339901477832512, |
|
"acc_norm_stderr": 0.03108982600293753 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"acc_norm": 0.6764705882352942, |
|
"acc_norm_stderr": 0.0465501041131961 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"acc_norm": 0.6619718309859155, |
|
"acc_norm_stderr": 0.018727761146649105 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": { |
|
"acc_norm": 0.655688622754491, |
|
"acc_norm_stderr": 0.026037686520768065 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": { |
|
"acc_norm": 0.7521008403361344, |
|
"acc_norm_stderr": 0.02804796722417689 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": { |
|
"acc_norm": 0.8478478478478478, |
|
"acc_norm_stderr": 0.011369274186978511 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"acc_norm": 0.7420382165605095, |
|
"acc_norm_stderr": 0.024729688908190262 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"acc_norm": 0.7066666666666667, |
|
"acc_norm_stderr": 0.052926375288708395 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"acc_norm": 0.6454767726161369, |
|
"acc_norm_stderr": 0.0236827742390917 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": { |
|
"acc_norm": 0.7479338842975206, |
|
"acc_norm_stderr": 0.02796921759454876 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": { |
|
"acc_norm": 0.8273809523809523, |
|
"acc_norm_stderr": 0.02064784416618027 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"acc_norm": 0.6666666666666666, |
|
"acc_norm_stderr": 0.07647191129018724 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)|0": { |
|
"acc_norm": 0.48627450980392156, |
|
"acc_norm_stderr": 0.03136096744694241 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"acc_norm": 0.5428571428571428, |
|
"acc_norm_stderr": 0.03445843938031585 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": { |
|
"acc_norm": 0.5020746887966805, |
|
"acc_norm_stderr": 0.03227458337365986 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": { |
|
"acc_norm": 0.7702127659574468, |
|
"acc_norm_stderr": 0.015855574241773723 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"acc_norm": 0.22, |
|
"acc_norm_stderr": 0.0416333199893227 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"acc_norm": 0.4740740740740741, |
|
"acc_norm_stderr": 0.04313531696750574 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"acc_norm": 0.631578947368421, |
|
"acc_norm_stderr": 0.03925523381052932 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"acc_norm": 0.64, |
|
"acc_norm_stderr": 0.04824181513244218 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"acc_norm": 0.5660377358490566, |
|
"acc_norm_stderr": 0.030503292013342592 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology|0": { |
|
"acc_norm": 0.5138888888888888, |
|
"acc_norm_stderr": 0.041795966175810016 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"acc_norm": 0.4, |
|
"acc_norm_stderr": 0.049236596391733084 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"acc_norm": 0.35, |
|
"acc_norm_stderr": 0.0479372485441102 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics|0": { |
|
"acc_norm": 0.29, |
|
"acc_norm_stderr": 0.04560480215720683 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"acc_norm": 0.5028901734104047, |
|
"acc_norm_stderr": 0.038124005659748335 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"acc_norm": 0.37254901960784315, |
|
"acc_norm_stderr": 0.04810840148082634 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"acc_norm": 0.61, |
|
"acc_norm_stderr": 0.04902071300001975 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"acc_norm": 0.5106382978723404, |
|
"acc_norm_stderr": 0.03267862331014063 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"acc_norm": 0.3684210526315789, |
|
"acc_norm_stderr": 0.04537815354939392 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"acc_norm": 0.4482758620689655, |
|
"acc_norm_stderr": 0.04144311810878151 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"acc_norm": 0.3888888888888889, |
|
"acc_norm_stderr": 0.02510742548113729 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"acc_norm": 0.42857142857142855, |
|
"acc_norm_stderr": 0.04426266681379909 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"acc_norm": 0.29, |
|
"acc_norm_stderr": 0.045604802157206845 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology|0": { |
|
"acc_norm": 0.5979543666404405, |
|
"acc_norm_stderr": 0.007941366686003534 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": { |
|
"acc_norm": 0.588894422310757, |
|
"acc_norm_stderr": 0.007765199720251905 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"acc_norm": 0.52, |
|
"acc_norm_stderr": 0.050211673156867795 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": { |
|
"acc_norm": 0.5029440628066733, |
|
"acc_norm_stderr": 0.0055380519982651906 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography|0": { |
|
"acc_norm": 0.7323232323232324, |
|
"acc_norm_stderr": 0.03154449888270286 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": { |
|
"acc_norm": 0.7098445595854922, |
|
"acc_norm_stderr": 0.03275264467791516 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": { |
|
"acc_norm": 0.6208924247665167, |
|
"acc_norm_stderr": 0.009024860351919767 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": { |
|
"acc_norm": 0.2962962962962963, |
|
"acc_norm_stderr": 0.02784081149587193 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": { |
|
"acc_norm": 0.5462184873949579, |
|
"acc_norm_stderr": 0.03233943468182087 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics|0": { |
|
"acc_norm": 0.304635761589404, |
|
"acc_norm_stderr": 0.03757949922943343 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": { |
|
"acc_norm": 0.6844036697247706, |
|
"acc_norm_stderr": 0.01992611751386967 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": { |
|
"acc_norm": 0.5810491493383743, |
|
"acc_norm_stderr": 0.007585189941614936 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"acc_norm": 0.6568627450980392, |
|
"acc_norm_stderr": 0.033321399446680854 |
|
}, |
|
"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": 0.5695067264573991, |
|
"acc_norm_stderr": 0.033231973029429394 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"acc_norm": 0.549618320610687, |
|
"acc_norm_stderr": 0.04363643698524779 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"acc_norm": 0.6694214876033058, |
|
"acc_norm_stderr": 0.04294340845212093 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"acc_norm": 0.6388888888888888, |
|
"acc_norm_stderr": 0.04643454608906276 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"acc_norm": 0.558282208588957, |
|
"acc_norm_stderr": 0.03901591825836184 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"acc_norm": 0.30357142857142855, |
|
"acc_norm_stderr": 0.04364226155841044 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"acc_norm": 0.6601941747572816, |
|
"acc_norm_stderr": 0.046897659372781335 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"acc_norm": 0.6837606837606838, |
|
"acc_norm_stderr": 0.03046365674734027 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"acc_norm": 0.55, |
|
"acc_norm_stderr": 0.05 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"acc_norm": 0.6347107438016529, |
|
"acc_norm_stderr": 0.009790129582830714 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"acc_norm": 0.5317919075144508, |
|
"acc_norm_stderr": 0.02686462436675665 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"acc_norm": 0.18659217877094972, |
|
"acc_norm_stderr": 0.013029631416358359 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"acc_norm": 0.6274509803921569, |
|
"acc_norm_stderr": 0.027684181883302895 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"acc_norm": 0.4983922829581994, |
|
"acc_norm_stderr": 0.02839794490780661 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"acc_norm": 0.5092592592592593, |
|
"acc_norm_stderr": 0.027815973433878014 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"acc_norm": 0.5686752326096588, |
|
"acc_norm_stderr": 0.007372277745370786 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"acc_norm": 0.5003130086390385, |
|
"acc_norm_stderr": 0.005595066675440828 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"acc_norm": 0.6139279169211973, |
|
"acc_norm_stderr": 0.01203652829067316 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"acc_norm": 0.5949186411647159, |
|
"acc_norm_stderr": 0.008295486231780587 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"acc_norm": 0.5181818181818182, |
|
"acc_norm_stderr": 0.04785964010794915 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"acc_norm": 0.6408163265306123, |
|
"acc_norm_stderr": 0.030713560455108493 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"acc_norm": 0.681592039800995, |
|
"acc_norm_stderr": 0.03294118479054095 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"acc_norm": 0.72, |
|
"acc_norm_stderr": 0.04512608598542128 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"acc_norm": 0.41566265060240964, |
|
"acc_norm_stderr": 0.038367221765980515 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"acc_norm": 0.6432748538011696, |
|
"acc_norm_stderr": 0.03674013002860954 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"acc_norm": 0.8333333333333334, |
|
"acc_norm_stderr": 0.0485185424782985 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"acc_norm": 0.8490566037735849, |
|
"acc_norm_stderr": 0.0496447935456809 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"acc_norm": 0.9210526315789473, |
|
"acc_norm_stderr": 0.031137262016313776 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"acc_norm": 0.9420289855072463, |
|
"acc_norm_stderr": 0.02833890901721171 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"acc_norm": 0.821917808219178, |
|
"acc_norm_stderr": 0.045087711548245445 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"acc_norm": 0.9298245614035088, |
|
"acc_norm_stderr": 0.03413493351347426 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"acc_norm": 0.8205128205128205, |
|
"acc_norm_stderr": 0.0437334802780739 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"acc_norm": 0.8363636363636363, |
|
"acc_norm_stderr": 0.050343174926776244 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"acc_norm": 0.761437908496732, |
|
"acc_norm_stderr": 0.017242385828779582 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.3232876712328767, |
|
"acc_norm_stderr": 0.0245157917743514 |
|
}, |
|
"community|alghafa:_average|0": { |
|
"acc_norm": 0.6948914743768183, |
|
"acc_norm_stderr": 0.017274055208701334 |
|
}, |
|
"community|arabic_mmlu:_average|0": { |
|
"acc_norm": 0.6489607738679455, |
|
"acc_norm_stderr": 0.03353176455819387 |
|
}, |
|
"community|arabic_mmlu_ht:_average|0": { |
|
"acc_norm": 0.5280786247559867, |
|
"acc_norm_stderr": 0.03273004827310625 |
|
}, |
|
"community|aratrust:_average|0": { |
|
"acc_norm": 0.8692612975865318, |
|
"acc_norm_stderr": 0.041367350915509346 |
|
}, |
|
"community|madinah_qa:_average|0": { |
|
"acc_norm": 0.5423627898648044, |
|
"acc_norm_stderr": 0.02087908880156549 |
|
}, |
|
"all": { |
|
"acc_norm": 0.6049369741300459, |
|
"acc_norm_stderr": 0.03223585040029693 |
|
} |
|
}, |
|
"versions": { |
|
"community|alghafa:meta_ar_dialects|0": 0, |
|
"community|alghafa:meta_ar_msa|0": 0, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": 0, |
|
"community|alghafa:multiple_choice_sentiment_task|0": 0, |
|
"community|arabic_exams|0": 0, |
|
"community|arabic_mmlu:Accounting (University)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (General)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": 0, |
|
"community|arabic_mmlu:Biology (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (High School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (University)|0": 0, |
|
"community|arabic_mmlu:Driving Test|0": 0, |
|
"community|arabic_mmlu:Economics (High School)|0": 0, |
|
"community|arabic_mmlu:Economics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Economics (University)|0": 0, |
|
"community|arabic_mmlu:General Knowledge|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": 0, |
|
"community|arabic_mmlu:Geography (High School)|0": 0, |
|
"community|arabic_mmlu:Geography (Middle School)|0": 0, |
|
"community|arabic_mmlu:Geography (Primary School)|0": 0, |
|
"community|arabic_mmlu:History (High School)|0": 0, |
|
"community|arabic_mmlu:History (Middle School)|0": 0, |
|
"community|arabic_mmlu:History (Primary School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, |
|
"community|arabic_mmlu:Law (Professional)|0": 0, |
|
"community|arabic_mmlu:Management (University)|0": 0, |
|
"community|arabic_mmlu:Math (Primary School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Philosophy (High School)|0": 0, |
|
"community|arabic_mmlu:Physics (High School)|0": 0, |
|
"community|arabic_mmlu:Political Science (University)|0": 0, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": 0, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": 0, |
|
"community|arabic_mmlu_ht:anatomy|0": 0, |
|
"community|arabic_mmlu_ht:astronomy|0": 0, |
|
"community|arabic_mmlu_ht:business_ethics|0": 0, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": 0, |
|
"community|arabic_mmlu_ht:college_biology|0": 0, |
|
"community|arabic_mmlu_ht:college_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:college_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:college_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:college_medicine|0": 0, |
|
"community|arabic_mmlu_ht:college_physics|0": 0, |
|
"community|arabic_mmlu_ht:computer_security|0": 0, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": 0, |
|
"community|arabic_mmlu_ht:econometrics|0": 0, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": 0, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:formal_logic|0": 0, |
|
"community|arabic_mmlu_ht:global_facts|0": 0, |
|
"community|arabic_mmlu_ht:high_school_biology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_geography|0": 0, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_physics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": 0, |
|
"community|arabic_mmlu_ht:human_aging|0": 0, |
|
"community|arabic_mmlu_ht:human_sexuality|0": 0, |
|
"community|arabic_mmlu_ht:international_law|0": 0, |
|
"community|arabic_mmlu_ht:jurisprudence|0": 0, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": 0, |
|
"community|arabic_mmlu_ht:machine_learning|0": 0, |
|
"community|arabic_mmlu_ht:management|0": 0, |
|
"community|arabic_mmlu_ht:marketing|0": 0, |
|
"community|arabic_mmlu_ht:medical_genetics|0": 0, |
|
"community|arabic_mmlu_ht:miscellaneous|0": 0, |
|
"community|arabic_mmlu_ht:moral_disputes|0": 0, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": 0, |
|
"community|arabic_mmlu_ht:nutrition|0": 0, |
|
"community|arabic_mmlu_ht:philosophy|0": 0, |
|
"community|arabic_mmlu_ht:prehistory|0": 0, |
|
"community|arabic_mmlu_ht:professional_accounting|0": 0, |
|
"community|arabic_mmlu_ht:professional_law|0": 0, |
|
"community|arabic_mmlu_ht:professional_medicine|0": 0, |
|
"community|arabic_mmlu_ht:professional_psychology|0": 0, |
|
"community|arabic_mmlu_ht:public_relations|0": 0, |
|
"community|arabic_mmlu_ht:security_studies|0": 0, |
|
"community|arabic_mmlu_ht:sociology|0": 0, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": 0, |
|
"community|arabic_mmlu_ht:virology|0": 0, |
|
"community|arabic_mmlu_ht:world_religions|0": 0, |
|
"community|aratrust:Ethics|0": 0, |
|
"community|aratrust:Illegal|0": 0, |
|
"community|aratrust:MentalHealth|0": 0, |
|
"community|aratrust:Offensive|0": 0, |
|
"community|aratrust:PhysicalHealth|0": 0, |
|
"community|aratrust:Privacy|0": 0, |
|
"community|aratrust:Trustfulness|0": 0, |
|
"community|aratrust:Unfairness|0": 0, |
|
"community|madinah_qa:Arabic Language (General)|0": 0, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": 0 |
|
}, |
|
"config_tasks": { |
|
"community|alghafa:meta_ar_dialects": { |
|
"name": "alghafa:meta_ar_dialects", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_dialects", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5395, |
|
"effective_num_docs": 5395, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:meta_ar_msa": { |
|
"name": "alghafa:meta_ar_msa", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_msa", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task": { |
|
"name": "alghafa:multiple_choice_facts_truefalse_balanced_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_facts_truefalse_balanced_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_soqal_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_soqal_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7995, |
|
"effective_num_docs": 7995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5995, |
|
"effective_num_docs": 5995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task": { |
|
"name": "alghafa:multiple_choice_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1720, |
|
"effective_num_docs": 1720, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_exams": { |
|
"name": "arabic_exams", |
|
"prompt_function": "arabic_exams_pfn", |
|
"hf_repo": "OALL/Arabic_EXAMS", |
|
"hf_subset": "default", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": null, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 537, |
|
"effective_num_docs": 537, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)": { |
|
"name": "arabic_mmlu:Accounting (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Accounting (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 74, |
|
"effective_num_docs": 74, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)": { |
|
"name": "arabic_mmlu:Arabic Language (General)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)": { |
|
"name": "arabic_mmlu:Arabic Language (Grammar)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)": { |
|
"name": "arabic_mmlu:Arabic Language (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 390, |
|
"effective_num_docs": 390, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)": { |
|
"name": "arabic_mmlu:Arabic Language (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)": { |
|
"name": "arabic_mmlu:Arabic Language (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 252, |
|
"effective_num_docs": 252, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)": { |
|
"name": "arabic_mmlu:Biology (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Biology (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1409, |
|
"effective_num_docs": 1409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)": { |
|
"name": "arabic_mmlu:Civics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)": { |
|
"name": "arabic_mmlu:Civics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 236, |
|
"effective_num_docs": 236, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)": { |
|
"name": "arabic_mmlu:Computer Science (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 261, |
|
"effective_num_docs": 261, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)": { |
|
"name": "arabic_mmlu:Computer Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)": { |
|
"name": "arabic_mmlu:Computer Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 190, |
|
"effective_num_docs": 190, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)": { |
|
"name": "arabic_mmlu:Computer Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 64, |
|
"effective_num_docs": 64, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Driving Test": { |
|
"name": "arabic_mmlu:Driving Test", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Driving Test", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1211, |
|
"effective_num_docs": 1211, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)": { |
|
"name": "arabic_mmlu:Economics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 360, |
|
"effective_num_docs": 360, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)": { |
|
"name": "arabic_mmlu:Economics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (University)": { |
|
"name": "arabic_mmlu:Economics (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 137, |
|
"effective_num_docs": 137, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge": { |
|
"name": "arabic_mmlu:General Knowledge", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 864, |
|
"effective_num_docs": 864, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)": { |
|
"name": "arabic_mmlu:General Knowledge (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 172, |
|
"effective_num_docs": 172, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)": { |
|
"name": "arabic_mmlu:General Knowledge (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 162, |
|
"effective_num_docs": 162, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)": { |
|
"name": "arabic_mmlu:Geography (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1038, |
|
"effective_num_docs": 1038, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)": { |
|
"name": "arabic_mmlu:Geography (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 272, |
|
"effective_num_docs": 272, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)": { |
|
"name": "arabic_mmlu:Geography (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (High School)": { |
|
"name": "arabic_mmlu:History (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 760, |
|
"effective_num_docs": 760, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)": { |
|
"name": "arabic_mmlu:History (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 203, |
|
"effective_num_docs": 203, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)": { |
|
"name": "arabic_mmlu:History (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies": { |
|
"name": "arabic_mmlu:Islamic Studies", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 639, |
|
"effective_num_docs": 639, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)": { |
|
"name": "arabic_mmlu:Islamic Studies (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 334, |
|
"effective_num_docs": 334, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 999, |
|
"effective_num_docs": 999, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)": { |
|
"name": "arabic_mmlu:Law (Professional)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Law (Professional)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 314, |
|
"effective_num_docs": 314, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)": { |
|
"name": "arabic_mmlu:Management (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Management (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)": { |
|
"name": "arabic_mmlu:Math (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Math (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 409, |
|
"effective_num_docs": 409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)": { |
|
"name": "arabic_mmlu:Natural Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 242, |
|
"effective_num_docs": 242, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)": { |
|
"name": "arabic_mmlu:Natural Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 336, |
|
"effective_num_docs": 336, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)": { |
|
"name": "arabic_mmlu:Philosophy (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Philosophy (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 39, |
|
"effective_num_docs": 39, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)": { |
|
"name": "arabic_mmlu:Physics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Physics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 255, |
|
"effective_num_docs": 255, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)": { |
|
"name": "arabic_mmlu:Political Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Political Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 210, |
|
"effective_num_docs": 210, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)": { |
|
"name": "arabic_mmlu:Social Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 241, |
|
"effective_num_docs": 241, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)": { |
|
"name": "arabic_mmlu:Social Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 705, |
|
"effective_num_docs": 705, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra": { |
|
"name": "arabic_mmlu_ht:abstract_algebra", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "abstract_algebra", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy": { |
|
"name": "arabic_mmlu_ht:anatomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "anatomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 135, |
|
"effective_num_docs": 135, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy": { |
|
"name": "arabic_mmlu_ht:astronomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "astronomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 152, |
|
"effective_num_docs": 152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics": { |
|
"name": "arabic_mmlu_ht:business_ethics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "business_ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge": { |
|
"name": "arabic_mmlu_ht:clinical_knowledge", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "clinical_knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 265, |
|
"effective_num_docs": 265, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology": { |
|
"name": "arabic_mmlu_ht:college_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 144, |
|
"effective_num_docs": 144, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry": { |
|
"name": "arabic_mmlu_ht:college_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science": { |
|
"name": "arabic_mmlu_ht:college_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics": { |
|
"name": "arabic_mmlu_ht:college_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine": { |
|
"name": "arabic_mmlu_ht:college_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 173, |
|
"effective_num_docs": 173, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics": { |
|
"name": "arabic_mmlu_ht:college_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security": { |
|
"name": "arabic_mmlu_ht:computer_security", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "computer_security", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics": { |
|
"name": "arabic_mmlu_ht:conceptual_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "conceptual_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 235, |
|
"effective_num_docs": 235, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics": { |
|
"name": "arabic_mmlu_ht:econometrics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "econometrics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 114, |
|
"effective_num_docs": 114, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering": { |
|
"name": "arabic_mmlu_ht:electrical_engineering", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "electrical_engineering", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 145, |
|
"effective_num_docs": 145, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics": { |
|
"name": "arabic_mmlu_ht:elementary_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "elementary_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 378, |
|
"effective_num_docs": 378, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic": { |
|
"name": "arabic_mmlu_ht:formal_logic", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "formal_logic", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 126, |
|
"effective_num_docs": 126, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts": { |
|
"name": "arabic_mmlu_ht:global_facts", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "global_facts", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology": { |
|
"name": "arabic_mmlu_ht:high_school_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3813, |
|
"effective_num_docs": 3813, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry": { |
|
"name": "arabic_mmlu_ht:high_school_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4016, |
|
"effective_num_docs": 4016, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science": { |
|
"name": "arabic_mmlu_ht:high_school_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history": { |
|
"name": "arabic_mmlu_ht:high_school_european_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_european_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 8152, |
|
"effective_num_docs": 8152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography": { |
|
"name": "arabic_mmlu_ht:high_school_geography", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_geography", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 198, |
|
"effective_num_docs": 198, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics": { |
|
"name": "arabic_mmlu_ht:high_school_government_and_politics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_government_and_politics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 193, |
|
"effective_num_docs": 193, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_macroeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_macroeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2891, |
|
"effective_num_docs": 2891, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics": { |
|
"name": "arabic_mmlu_ht:high_school_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 270, |
|
"effective_num_docs": 270, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_microeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_microeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics": { |
|
"name": "arabic_mmlu_ht:high_school_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 151, |
|
"effective_num_docs": 151, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology": { |
|
"name": "arabic_mmlu_ht:high_school_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 545, |
|
"effective_num_docs": 545, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics": { |
|
"name": "arabic_mmlu_ht:high_school_statistics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_statistics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4232, |
|
"effective_num_docs": 4232, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history": { |
|
"name": "arabic_mmlu_ht:high_school_us_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_us_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 204, |
|
"effective_num_docs": 204, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history": { |
|
"name": "arabic_mmlu_ht:high_school_world_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_world_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 237, |
|
"effective_num_docs": 237, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging": { |
|
"name": "arabic_mmlu_ht:human_aging", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_aging", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 223, |
|
"effective_num_docs": 223, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality": { |
|
"name": "arabic_mmlu_ht:human_sexuality", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_sexuality", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 131, |
|
"effective_num_docs": 131, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:international_law": { |
|
"name": "arabic_mmlu_ht:international_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "international_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 121, |
|
"effective_num_docs": 121, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence": { |
|
"name": "arabic_mmlu_ht:jurisprudence", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "jurisprudence", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 108, |
|
"effective_num_docs": 108, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies": { |
|
"name": "arabic_mmlu_ht:logical_fallacies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "logical_fallacies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 163, |
|
"effective_num_docs": 163, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning": { |
|
"name": "arabic_mmlu_ht:machine_learning", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "machine_learning", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 112, |
|
"effective_num_docs": 112, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management": { |
|
"name": "arabic_mmlu_ht:management", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "management", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 103, |
|
"effective_num_docs": 103, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing": { |
|
"name": "arabic_mmlu_ht:marketing", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "marketing", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 234, |
|
"effective_num_docs": 234, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics": { |
|
"name": "arabic_mmlu_ht:medical_genetics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "medical_genetics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous": { |
|
"name": "arabic_mmlu_ht:miscellaneous", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "miscellaneous", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2420, |
|
"effective_num_docs": 2420, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes": { |
|
"name": "arabic_mmlu_ht:moral_disputes", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_disputes", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 346, |
|
"effective_num_docs": 346, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios": { |
|
"name": "arabic_mmlu_ht:moral_scenarios", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_scenarios", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition": { |
|
"name": "arabic_mmlu_ht:nutrition", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "nutrition", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 306, |
|
"effective_num_docs": 306, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy": { |
|
"name": "arabic_mmlu_ht:philosophy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "philosophy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 311, |
|
"effective_num_docs": 311, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory": { |
|
"name": "arabic_mmlu_ht:prehistory", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "prehistory", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 324, |
|
"effective_num_docs": 324, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting": { |
|
"name": "arabic_mmlu_ht:professional_accounting", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_accounting", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4514, |
|
"effective_num_docs": 4514, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law": { |
|
"name": "arabic_mmlu_ht:professional_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7987, |
|
"effective_num_docs": 7987, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine": { |
|
"name": "arabic_mmlu_ht:professional_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1637, |
|
"effective_num_docs": 1637, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology": { |
|
"name": "arabic_mmlu_ht:professional_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3503, |
|
"effective_num_docs": 3503, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations": { |
|
"name": "arabic_mmlu_ht:public_relations", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "public_relations", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 110, |
|
"effective_num_docs": 110, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies": { |
|
"name": "arabic_mmlu_ht:security_studies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "security_studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 245, |
|
"effective_num_docs": 245, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology": { |
|
"name": "arabic_mmlu_ht:sociology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "sociology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 201, |
|
"effective_num_docs": 201, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy": { |
|
"name": "arabic_mmlu_ht:us_foreign_policy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "us_foreign_policy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology": { |
|
"name": "arabic_mmlu_ht:virology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "virology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 166, |
|
"effective_num_docs": 166, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions": { |
|
"name": "arabic_mmlu_ht:world_religions", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "world_religions", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 171, |
|
"effective_num_docs": 171, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Ethics": { |
|
"name": "aratrust:Ethics", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 60, |
|
"effective_num_docs": 60, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Illegal": { |
|
"name": "aratrust:Illegal", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Illegal", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 53, |
|
"effective_num_docs": 53, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:MentalHealth": { |
|
"name": "aratrust:MentalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "MentalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 76, |
|
"effective_num_docs": 76, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Offensive": { |
|
"name": "aratrust:Offensive", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Offensive", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 69, |
|
"effective_num_docs": 69, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth": { |
|
"name": "aratrust:PhysicalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "PhysicalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 73, |
|
"effective_num_docs": 73, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Privacy": { |
|
"name": "aratrust:Privacy", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Privacy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Trustfulness": { |
|
"name": "aratrust:Trustfulness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Trustfulness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 78, |
|
"effective_num_docs": 78, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Unfairness": { |
|
"name": "aratrust:Unfairness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Unfairness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 55, |
|
"effective_num_docs": 55, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)": { |
|
"name": "madinah_qa:Arabic Language (General)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)": { |
|
"name": "madinah_qa:Arabic Language (Grammar)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
} |
|
}, |
|
"summary_tasks": { |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"hashes": { |
|
"hash_examples": "c0b6081f83e14064", |
|
"hash_full_prompts": "4dcb0599d4e1d10f", |
|
"hash_input_tokens": "f438eb5b2941366f", |
|
"hash_cont_tokens": "0dbf37677ded809d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 5395, |
|
"padded": 21580, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"hashes": { |
|
"hash_examples": "64eb78a7c5b7484b", |
|
"hash_full_prompts": "44de500de4805970", |
|
"hash_input_tokens": "5fd6c49e8730c250", |
|
"hash_cont_tokens": "008d49d43c238636" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3580, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { |
|
"hashes": { |
|
"hash_examples": "54fc3502c1c02c06", |
|
"hash_full_prompts": "327f33dd2101c9df", |
|
"hash_input_tokens": "8317ef780109c517", |
|
"hash_cont_tokens": "32bf7571b70054fb" |
|
}, |
|
"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": "87a2062fee1abc36", |
|
"hash_input_tokens": "53f82d02b120dae5", |
|
"hash_cont_tokens": "7224b24e4df194c3" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 150, |
|
"padded": 750, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { |
|
"hashes": { |
|
"hash_examples": "f430d97ff715bc1c", |
|
"hash_full_prompts": "bb12fe5c7ebf22ab", |
|
"hash_input_tokens": "3a5d9fe624705f64", |
|
"hash_cont_tokens": "7224b24e4df194c3" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 150, |
|
"padded": 750, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { |
|
"hashes": { |
|
"hash_examples": "6b70a7416584f98c", |
|
"hash_full_prompts": "9671c6a4a891e4ed", |
|
"hash_input_tokens": "46b1e5c1a887eede", |
|
"hash_cont_tokens": "61602a54ab173fa0" |
|
}, |
|
"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": "f5101baeafa22014", |
|
"hash_input_tokens": "24239ab06e0b2899", |
|
"hash_cont_tokens": "e2d271ab008dc93d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 5995, |
|
"padded": 17985, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"hashes": { |
|
"hash_examples": "6fb0e254ea5945d8", |
|
"hash_full_prompts": "f1286a9bec834f8e", |
|
"hash_input_tokens": "491df0fbefe64f5d", |
|
"hash_cont_tokens": "cc48db644ad9ec5d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1720, |
|
"padded": 5160, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_exams|0": { |
|
"hashes": { |
|
"hash_examples": "6d721df351722656", |
|
"hash_full_prompts": "d92b59d43cc8f443", |
|
"hash_input_tokens": "9cbe243a9d1e6229", |
|
"hash_cont_tokens": "bea4e819b676e3c2" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 537, |
|
"padded": 2148, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"hashes": { |
|
"hash_examples": "30e09697562ff9e7", |
|
"hash_full_prompts": "f33528102d62e9c7", |
|
"hash_input_tokens": "3028ed33d64277e2", |
|
"hash_cont_tokens": "3cec9fae4f440218" |
|
}, |
|
"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": "adeb56f8c138f61d", |
|
"hash_input_tokens": "a17124fa2b16a52a", |
|
"hash_cont_tokens": "4221fa89d18784d7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2403, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "bd066a9e6a140a4b", |
|
"hash_full_prompts": "6b526ac61ec014ca", |
|
"hash_input_tokens": "d722ffd0c27b0913", |
|
"hash_cont_tokens": "29b680135a9af59f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1588, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "a9c2cd9a9929292a", |
|
"hash_full_prompts": "1d13855811bdf4f1", |
|
"hash_input_tokens": "bdbc35e902065398", |
|
"hash_cont_tokens": "f15640fa953da056" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 390, |
|
"padded": 1525, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "2f8a77bbbd0e21ff", |
|
"hash_full_prompts": "1309fe49201e59e6", |
|
"hash_input_tokens": "cefd82118d5ac60d", |
|
"hash_cont_tokens": "d4a32b9990ffe74b" |
|
}, |
|
"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": "dc5258e641bfcf6f", |
|
"hash_input_tokens": "df10219bc8c8ed26", |
|
"hash_cont_tokens": "db5afdcf9848bfc7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 252, |
|
"padded": 926, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "91ae6d22a0f0213d", |
|
"hash_full_prompts": "52d699491b6dcf58", |
|
"hash_input_tokens": "e4643498e5cb3ea0", |
|
"hash_cont_tokens": "7c100ed7d2d586fd" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1409, |
|
"padded": 5056, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "f27bf8791bea2bb9", |
|
"hash_full_prompts": "b4cf8b46ee15d5a8", |
|
"hash_input_tokens": "4f894837ecd45c19", |
|
"hash_cont_tokens": "665e1b93f6d14a5e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 87, |
|
"padded": 316, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "74f5bb0098c8916f", |
|
"hash_full_prompts": "d18af6072d3bd6a1", |
|
"hash_input_tokens": "5f99069f4ebba59f", |
|
"hash_cont_tokens": "f1d9c720dd343944" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 236, |
|
"padded": 944, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "a4278d7b525d46fe", |
|
"hash_full_prompts": "4602711d95fe0cee", |
|
"hash_input_tokens": "6ba611d059e61765", |
|
"hash_cont_tokens": "147228d6fcb99a25" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 261, |
|
"padded": 1006, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "0cb6c07e4b80dfd4", |
|
"hash_full_prompts": "d93c69835c1e679e", |
|
"hash_input_tokens": "2386876422898e88", |
|
"hash_cont_tokens": "4cc5233f0c7ea234" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 27, |
|
"padded": 100, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "d96fc1bc32473533", |
|
"hash_full_prompts": "dd6d61057965b0e7", |
|
"hash_input_tokens": "4d4e6846001b7d03", |
|
"hash_cont_tokens": "7be4f9dd3bcede03" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 190, |
|
"padded": 476, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)|0": { |
|
"hashes": { |
|
"hash_examples": "8835587e436cbaff", |
|
"hash_full_prompts": "4f1f2a6a7ca49483", |
|
"hash_input_tokens": "e3d578042be55694", |
|
"hash_cont_tokens": "1c16c8a7633f9772" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 64, |
|
"padded": 255, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"hashes": { |
|
"hash_examples": "7a4c38a2c451d075", |
|
"hash_full_prompts": "8f98b60b90e37a28", |
|
"hash_input_tokens": "dde215cddf0a0d38", |
|
"hash_cont_tokens": "3aeb7480a2e36c91" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1211, |
|
"padded": 3685, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "c04c252836601279", |
|
"hash_full_prompts": "165b15ab78c029d4", |
|
"hash_input_tokens": "993ec84e893c6e91", |
|
"hash_cont_tokens": "39878bd4927b78d0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 360, |
|
"padded": 1390, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "18fba1579406b3cc", |
|
"hash_full_prompts": "0770ff72ddf9af66", |
|
"hash_input_tokens": "db799d82458c9e88", |
|
"hash_cont_tokens": "b90d4a50776246bc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 87, |
|
"padded": 348, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"hashes": { |
|
"hash_examples": "7c9e86fba8151562", |
|
"hash_full_prompts": "574c1fe97549701c", |
|
"hash_input_tokens": "0d98d7f288b356d2", |
|
"hash_cont_tokens": "75576f61b9821f37" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 137, |
|
"padded": 544, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"hashes": { |
|
"hash_examples": "acfbe4e1f0314b85", |
|
"hash_full_prompts": "e4ef1d3945288b91", |
|
"hash_input_tokens": "bfdf2d7be7ba0d29", |
|
"hash_cont_tokens": "e7b39ed10888a0cf" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 864, |
|
"padded": 3213, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "03cd0ecf10224316", |
|
"hash_full_prompts": "7771a4e1f62176af", |
|
"hash_input_tokens": "54c950f4050bddad", |
|
"hash_cont_tokens": "3d1c6a529f30ce93" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 172, |
|
"padded": 628, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "c3ee30196e05e122", |
|
"hash_full_prompts": "9423fc8c3668d246", |
|
"hash_input_tokens": "56ce8dc8a2c272be", |
|
"hash_cont_tokens": "4ba2ce1a58730bc4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 162, |
|
"padded": 637, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "e2e329d2bdd9fb7b", |
|
"hash_full_prompts": "8410cccccf814d03", |
|
"hash_input_tokens": "6017b77926d40408", |
|
"hash_cont_tokens": "23b833a1d044ca18" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1038, |
|
"padded": 4116, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "420b161444291989", |
|
"hash_full_prompts": "7af8e5da25ee0559", |
|
"hash_input_tokens": "1b83d14e5641805d", |
|
"hash_cont_tokens": "649c664548c6e835" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 272, |
|
"padded": 975, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "5bc5ca48a4210899", |
|
"hash_full_prompts": "61f41f9eee5fc7ec", |
|
"hash_input_tokens": "29a94e2c3501c626", |
|
"hash_cont_tokens": "373bcdebef94ef36" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 57, |
|
"padded": 216, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "c7cc37f29311bea1", |
|
"hash_full_prompts": "17ef262d5e3da56c", |
|
"hash_input_tokens": "99c77896c698ead3", |
|
"hash_cont_tokens": "549d22eee613f8f4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 760, |
|
"padded": 2962, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "5b9f1973337153a2", |
|
"hash_full_prompts": "ae0f87460c0e08f8", |
|
"hash_input_tokens": "6efb38f8985840a1", |
|
"hash_cont_tokens": "40790cb0e2a40fa8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 203, |
|
"padded": 746, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "af2469847007c1fe", |
|
"hash_full_prompts": "b0a5124fc47fa74c", |
|
"hash_input_tokens": "66ff6118655659cf", |
|
"hash_cont_tokens": "3cd704562d79b5d4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 102, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"hashes": { |
|
"hash_examples": "c8da9b2f16a5ea0f", |
|
"hash_full_prompts": "3d964f77bd42e341", |
|
"hash_input_tokens": "e1c26465fca849af", |
|
"hash_cont_tokens": "3709b6ee4aa86f7a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 639, |
|
"padded": 2529, |
|
"non_padded": 0, |
|
"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": "281a25c23aad8a0d", |
|
"hash_input_tokens": "6ecd5062332ddfaf", |
|
"hash_cont_tokens": "5249f1cd6c2f254e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 334, |
|
"padded": 1285, |
|
"non_padded": 0, |
|
"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": "0fd06ef3a3607252", |
|
"hash_input_tokens": "aa1bfd7a6f5d2d49", |
|
"hash_cont_tokens": "63d2b03d9f089865" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 883, |
|
"non_padded": 0, |
|
"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": "e627f1d3332f1611", |
|
"hash_input_tokens": "13fd360cefd0bd11", |
|
"hash_cont_tokens": "a99dd8b84ba3e8c5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 999, |
|
"padded": 3024, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"hashes": { |
|
"hash_examples": "e77f52c8fe4352b3", |
|
"hash_full_prompts": "46ba40268bc7e78d", |
|
"hash_input_tokens": "2447d0fe263c1b51", |
|
"hash_cont_tokens": "258796b8acffa482" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 314, |
|
"padded": 1232, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"hashes": { |
|
"hash_examples": "09682649b04b7327", |
|
"hash_full_prompts": "a752c8eab807a36c", |
|
"hash_input_tokens": "72bb0ffe679fb7ba", |
|
"hash_cont_tokens": "c0a5385715725705" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 75, |
|
"padded": 200, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "edb027bfae7e76f1", |
|
"hash_full_prompts": "3815c217798409da", |
|
"hash_input_tokens": "003dbdc8cf59ee56", |
|
"hash_cont_tokens": "af50b02ad205f85c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 409, |
|
"padded": 1296, |
|
"non_padded": 0, |
|
"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": "90f46888f5ac6fe9", |
|
"hash_input_tokens": "4d39440b4b8413dd", |
|
"hash_cont_tokens": "59a948dca9479f16" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 242, |
|
"padded": 940, |
|
"non_padded": 0, |
|
"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": "90282b434a1f9113", |
|
"hash_input_tokens": "b400bd95bc5a1cc9", |
|
"hash_cont_tokens": "8dd16d979bbb2f2d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 336, |
|
"padded": 1228, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "dc6ebd484a02fca5", |
|
"hash_full_prompts": "4e7cc099681ddc8c", |
|
"hash_input_tokens": "51483154071a6b42", |
|
"hash_cont_tokens": "cfb5fe05494970c5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 39, |
|
"padded": 156, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "58a1722472c9e644", |
|
"hash_full_prompts": "06dfcc6f41c1e145", |
|
"hash_input_tokens": "1cec56431d0a91ab", |
|
"hash_cont_tokens": "c885a03297b45376" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 255, |
|
"padded": 1020, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"hashes": { |
|
"hash_examples": "07a4ed6aabbdfd1e", |
|
"hash_full_prompts": "e9b8fdd01d3b5dee", |
|
"hash_input_tokens": "87a59fe078950f95", |
|
"hash_cont_tokens": "14a3099d747c0640" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 210, |
|
"padded": 710, |
|
"non_padded": 0, |
|
"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": "81a50508991de7ff", |
|
"hash_input_tokens": "02665b1a8c063d50", |
|
"hash_cont_tokens": "c7f5a01c763c46c1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 241, |
|
"padded": 929, |
|
"non_padded": 0, |
|
"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": "992a898a2834c8f6", |
|
"hash_input_tokens": "4ad24a793a80248d", |
|
"hash_cont_tokens": "c31c5b231ed19fad" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 705, |
|
"padded": 2043, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"hashes": { |
|
"hash_examples": "0b557911f2f6d919", |
|
"hash_full_prompts": "c5ddb5071a5fdd3e", |
|
"hash_input_tokens": "3ae8780438ac016d", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"hashes": { |
|
"hash_examples": "a552d8a0ef294061", |
|
"hash_full_prompts": "f58d84984d72dede", |
|
"hash_input_tokens": "4e22c39667662346", |
|
"hash_cont_tokens": "39530d2040b380bb" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 135, |
|
"padded": 540, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"hashes": { |
|
"hash_examples": "c4a372d0af7da098", |
|
"hash_full_prompts": "6aa5ddc83a95edac", |
|
"hash_input_tokens": "27c14d5537d7a242", |
|
"hash_cont_tokens": "47c4a5568ba65704" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 152, |
|
"padded": 608, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"hashes": { |
|
"hash_examples": "9f71d816abf8af7a", |
|
"hash_full_prompts": "cbe6b9b71f7a60eb", |
|
"hash_input_tokens": "0d9afdd615373660", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"hashes": { |
|
"hash_examples": "38303cd765589ef3", |
|
"hash_full_prompts": "69c6a88fb7f2b4f7", |
|
"hash_input_tokens": "9d817b245bdf2f3a", |
|
"hash_cont_tokens": "e22ba419e98eb2d6" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 265, |
|
"padded": 1060, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology|0": { |
|
"hashes": { |
|
"hash_examples": "dbd9b5d318e60b04", |
|
"hash_full_prompts": "dece67979fb8febd", |
|
"hash_input_tokens": "11d0e46ee64d4611", |
|
"hash_cont_tokens": "57d71db2377394d1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 144, |
|
"padded": 576, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"hashes": { |
|
"hash_examples": "6f88491d03db8a4c", |
|
"hash_full_prompts": "80d240f2545eaa59", |
|
"hash_input_tokens": "e5de8976075470a9", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"hashes": { |
|
"hash_examples": "ebfdee5ef2ed5e17", |
|
"hash_full_prompts": "c83a271f48fb5772", |
|
"hash_input_tokens": "ab9c0408aaf1d22f", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"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": "d76f2cd3dab3a8fc", |
|
"hash_input_tokens": "1b6a15d9682bc00d", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "51a5501373afb5a7", |
|
"hash_full_prompts": "003404b88f4a164c", |
|
"hash_input_tokens": "b65fbd39d915a7ea", |
|
"hash_cont_tokens": "4b663a9ddc65f9d4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 173, |
|
"padded": 692, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"hashes": { |
|
"hash_examples": "2d3e015989b108db", |
|
"hash_full_prompts": "92ac3544f64597bf", |
|
"hash_input_tokens": "e3ac9a9516693718", |
|
"hash_cont_tokens": "be6bb369ef570f12" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 102, |
|
"padded": 408, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"hashes": { |
|
"hash_examples": "f8810eddc38dfee4", |
|
"hash_full_prompts": "516654212cc68e6b", |
|
"hash_input_tokens": "6bb27f2e3d0dce73", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"hashes": { |
|
"hash_examples": "211e32cc43c6b1dc", |
|
"hash_full_prompts": "4f8c2928e4db0a13", |
|
"hash_input_tokens": "a1c2a5188c30ebd3", |
|
"hash_cont_tokens": "38eead882fb009de" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 235, |
|
"padded": 940, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"hashes": { |
|
"hash_examples": "810023786b2484d2", |
|
"hash_full_prompts": "f6de02b47761b24c", |
|
"hash_input_tokens": "7258ec52462e00ad", |
|
"hash_cont_tokens": "97b913578a781e7c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 114, |
|
"padded": 456, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"hashes": { |
|
"hash_examples": "a222760c93eaa1ee", |
|
"hash_full_prompts": "8ef2b83cd355793b", |
|
"hash_input_tokens": "dae7d61973fde96f", |
|
"hash_cont_tokens": "fc116e69ddba513a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 145, |
|
"padded": 580, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"hashes": { |
|
"hash_examples": "4c069aeee64dc227", |
|
"hash_full_prompts": "b6a7d5c0ac48ce69", |
|
"hash_input_tokens": "91a7bdead2f15aa2", |
|
"hash_cont_tokens": "cb022ada0683f2b3" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 378, |
|
"padded": 1512, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"hashes": { |
|
"hash_examples": "3cb0ccbf8e8a77ae", |
|
"hash_full_prompts": "5ceb8d165c4c5584", |
|
"hash_input_tokens": "60291702ce996778", |
|
"hash_cont_tokens": "29665efd9ea01bb9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 126, |
|
"padded": 504, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"hashes": { |
|
"hash_examples": "c1d039e64ea321b9", |
|
"hash_full_prompts": "256aeef71ebb4ef5", |
|
"hash_input_tokens": "bcbf399588ff2bbb", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"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": "60e01469b844d917", |
|
"hash_input_tokens": "c7aed31d69310314", |
|
"hash_cont_tokens": "21e69f522584d0e6" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3813, |
|
"padded": 15147, |
|
"non_padded": 105, |
|
"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": "fce2f816b3aa9971", |
|
"hash_input_tokens": "29378bf14b2fc5c0", |
|
"hash_cont_tokens": "4e23706cf31f8c43" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4016, |
|
"padded": 15912, |
|
"non_padded": 152, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"hashes": { |
|
"hash_examples": "8d3405483d5fdcff", |
|
"hash_full_prompts": "ff17ff9cf994bf69", |
|
"hash_input_tokens": "9f868305b59572ad", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 396, |
|
"non_padded": 4, |
|
"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": "90bf513f2d98a1c9", |
|
"hash_input_tokens": "11df642ebb3f6a62", |
|
"hash_cont_tokens": "eeeaf38c33870da7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 8152, |
|
"padded": 32428, |
|
"non_padded": 180, |
|
"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": "c583518723956e7a", |
|
"hash_input_tokens": "43cf9bc2cdbb6075", |
|
"hash_cont_tokens": "c8bb91a0acb7e4db" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 198, |
|
"padded": 772, |
|
"non_padded": 20, |
|
"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": "fd733944422b3f4f", |
|
"hash_input_tokens": "8e2c54cfa19299dd", |
|
"hash_cont_tokens": "23d4c8e93b2fbf69" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 193, |
|
"padded": 760, |
|
"non_padded": 12, |
|
"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": "74e039f95ade5b25", |
|
"hash_input_tokens": "6987227ab6358391", |
|
"hash_cont_tokens": "75744168b581e1c1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2891, |
|
"padded": 11476, |
|
"non_padded": 88, |
|
"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": "610e5c7e59e612d7", |
|
"hash_input_tokens": "935cea66712d5949", |
|
"hash_cont_tokens": "1d84ad0d660814b7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 270, |
|
"padded": 1076, |
|
"non_padded": 4, |
|
"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": "1be5d6643ac4ae1a", |
|
"hash_input_tokens": "fc4a00e90f643d8d", |
|
"hash_cont_tokens": "5db77f02d4fd6077" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 940, |
|
"non_padded": 12, |
|
"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": "9ad274639a593ac3", |
|
"hash_input_tokens": "f8b92bf7f1e06e92", |
|
"hash_cont_tokens": "0b9ac64cc002a5ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 151, |
|
"padded": 596, |
|
"non_padded": 8, |
|
"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": "f46dd3ca3f16cddd", |
|
"hash_input_tokens": "ca5f51a560a6daa7", |
|
"hash_cont_tokens": "39aac422a73353d8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 545, |
|
"padded": 2152, |
|
"non_padded": 28, |
|
"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": "b32f13c15adc587e", |
|
"hash_input_tokens": "d2cf4c6b62a6ee44", |
|
"hash_cont_tokens": "18d08bed31c85f2e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4232, |
|
"padded": 16776, |
|
"non_padded": 152, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"hashes": { |
|
"hash_examples": "722ec9207e3b0e04", |
|
"hash_full_prompts": "096fd6be5829a28e", |
|
"hash_input_tokens": "2f8f300b9a8c0c98", |
|
"hash_cont_tokens": "d0d8dbfbff5056dc" |
|
}, |
|
"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": "4e3a003c9c59c7bd", |
|
"hash_input_tokens": "82e79235abee7e20", |
|
"hash_cont_tokens": "c2019472512e9146" |
|
}, |
|
"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": "b7ed6b9dea0d28db", |
|
"hash_input_tokens": "b4a40bdec226e061", |
|
"hash_cont_tokens": "4a7a665a846974d8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 223, |
|
"padded": 872, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"hashes": { |
|
"hash_examples": "47551ab4e5dcf6c5", |
|
"hash_full_prompts": "c9c63848fa9e27d8", |
|
"hash_input_tokens": "a38273851a17d17e", |
|
"hash_cont_tokens": "2b018d0fbb3fb883" |
|
}, |
|
"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": "a1fb133e68be1863", |
|
"hash_input_tokens": "7684fadc75e26413", |
|
"hash_cont_tokens": "541a479221a6ad15" |
|
}, |
|
"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": "e9b5c64f00b57860", |
|
"hash_input_tokens": "908b1a0d8f5c5392", |
|
"hash_cont_tokens": "2d428242d74f8880" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 108, |
|
"padded": 416, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"hashes": { |
|
"hash_examples": "5c3926384758bda7", |
|
"hash_full_prompts": "419454c2cc5b41d5", |
|
"hash_input_tokens": "bf783507ef37b7f0", |
|
"hash_cont_tokens": "a034061d093935d7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 163, |
|
"padded": 644, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"hashes": { |
|
"hash_examples": "3ce756e6a22ffc48", |
|
"hash_full_prompts": "abf02bf3ff78e94c", |
|
"hash_input_tokens": "ce8957f82b6ec5ef", |
|
"hash_cont_tokens": "ab4c99353b45f02c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 112, |
|
"padded": 444, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"hashes": { |
|
"hash_examples": "20fe769bb3276832", |
|
"hash_full_prompts": "7aced0a93c0485fe", |
|
"hash_input_tokens": "4439d922fc7ca89c", |
|
"hash_cont_tokens": "e30a694e4ef08899" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 103, |
|
"padded": 404, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"hashes": { |
|
"hash_examples": "6b19449559d987ce", |
|
"hash_full_prompts": "d4ffe7c0d0003ddb", |
|
"hash_input_tokens": "77f4c42adc55f84a", |
|
"hash_cont_tokens": "231915d361cf33d2" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 234, |
|
"padded": 912, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"hashes": { |
|
"hash_examples": "cbb0fa9df0f5435a", |
|
"hash_full_prompts": "0258fae203ee90e3", |
|
"hash_input_tokens": "3dadec1d64225656", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"hashes": { |
|
"hash_examples": "0a4134046c23cff9", |
|
"hash_full_prompts": "673bc31bb98cf784", |
|
"hash_input_tokens": "d4d90e3e746eb21f", |
|
"hash_cont_tokens": "2d94fb3f6e4ba878" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2420, |
|
"padded": 9632, |
|
"non_padded": 48, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"hashes": { |
|
"hash_examples": "1ac8a0967c82caa0", |
|
"hash_full_prompts": "07aaa9368ec88608", |
|
"hash_input_tokens": "5953f9da86eb9fab", |
|
"hash_cont_tokens": "5c0e89432250c883" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 346, |
|
"padded": 1360, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"hashes": { |
|
"hash_examples": "2c0670188bc5a789", |
|
"hash_full_prompts": "1594b69cb1406c4f", |
|
"hash_input_tokens": "d52d4b6fd2091247", |
|
"hash_cont_tokens": "b4e1483f9590de91" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3514, |
|
"non_padded": 66, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"hashes": { |
|
"hash_examples": "658628c0dcdfe201", |
|
"hash_full_prompts": "6db0dd7dda0b36bb", |
|
"hash_input_tokens": "25c971bef1d7b62d", |
|
"hash_cont_tokens": "f615daa873a62442" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 306, |
|
"padded": 1220, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"hashes": { |
|
"hash_examples": "8b6707b322affafd", |
|
"hash_full_prompts": "553a38a906331a70", |
|
"hash_input_tokens": "6cb52d7de4a2815f", |
|
"hash_cont_tokens": "9fde072f6ac44fb9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 311, |
|
"padded": 1212, |
|
"non_padded": 32, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"hashes": { |
|
"hash_examples": "0c85ffcdc9a7b367", |
|
"hash_full_prompts": "ac0be576594bc2ad", |
|
"hash_input_tokens": "5508024f47755fea", |
|
"hash_cont_tokens": "35ea37b2b3ca54f4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 324, |
|
"padded": 1272, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"hashes": { |
|
"hash_examples": "cce1ea2d5f544b2f", |
|
"hash_full_prompts": "7afd40bbc1ec0de0", |
|
"hash_input_tokens": "cca63ce768d349d0", |
|
"hash_cont_tokens": "d1d623301b086307" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4514, |
|
"padded": 17836, |
|
"non_padded": 220, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"hashes": { |
|
"hash_examples": "1c654b024b54eb4b", |
|
"hash_full_prompts": "e384d4611808a10c", |
|
"hash_input_tokens": "57e0b128585986ec", |
|
"hash_cont_tokens": "18fe6428ace7a51b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7987, |
|
"padded": 31450, |
|
"non_padded": 498, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "c621eaacfa662ebc", |
|
"hash_full_prompts": "de532b7abf1e2133", |
|
"hash_input_tokens": "9e5038595e8ce02b", |
|
"hash_cont_tokens": "0265772efd1ee774" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1637, |
|
"padded": 6344, |
|
"non_padded": 204, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"hashes": { |
|
"hash_examples": "bc14a28eaec87dc4", |
|
"hash_full_prompts": "e70091b0f85b68be", |
|
"hash_input_tokens": "91fe9b578def0451", |
|
"hash_cont_tokens": "5bcb8fd86a9e2062" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3503, |
|
"padded": 13528, |
|
"non_padded": 484, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"hashes": { |
|
"hash_examples": "de4989d9375885c4", |
|
"hash_full_prompts": "a5f0dc23f76f7dc7", |
|
"hash_input_tokens": "9fb7e9a76d3ceca1", |
|
"hash_cont_tokens": "ed262435c7903356" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 110, |
|
"padded": 412, |
|
"non_padded": 28, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"hashes": { |
|
"hash_examples": "3f84bfeec717c6de", |
|
"hash_full_prompts": "eb42f5b20db22ac6", |
|
"hash_input_tokens": "20a61b9880f46d71", |
|
"hash_cont_tokens": "3bf6dbd2e81d21f7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 245, |
|
"padded": 980, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"hashes": { |
|
"hash_examples": "10d7c2fae10bfcbc", |
|
"hash_full_prompts": "59e960c8334a1048", |
|
"hash_input_tokens": "8412dba877cc6ad0", |
|
"hash_cont_tokens": "a29c5f7ee03bc538" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 201, |
|
"padded": 784, |
|
"non_padded": 20, |
|
"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": "a1bdf7108e8842ec", |
|
"hash_input_tokens": "a99c3220418f5230", |
|
"hash_cont_tokens": "da490ccea124c2ce" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 376, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"hashes": { |
|
"hash_examples": "290915a48884ede2", |
|
"hash_full_prompts": "e4d1476cd7a00664", |
|
"hash_input_tokens": "adb70ece3ff47ce1", |
|
"hash_cont_tokens": "029fb121dbc0e304" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 166, |
|
"padded": 656, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"hashes": { |
|
"hash_examples": "91cc5451c7284f75", |
|
"hash_full_prompts": "a25096715e3eeb7c", |
|
"hash_input_tokens": "01ff5a6aea906063", |
|
"hash_cont_tokens": "805e04db5118751b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 171, |
|
"padded": 660, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"hashes": { |
|
"hash_examples": "b77354655caca219", |
|
"hash_full_prompts": "04bdc6d26fee35b4", |
|
"hash_input_tokens": "04cfe80365ba17c6", |
|
"hash_cont_tokens": "3f0aa3b044675451" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 60, |
|
"padded": 171, |
|
"non_padded": 9, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"hashes": { |
|
"hash_examples": "daa90cfb03dd9ed8", |
|
"hash_full_prompts": "aaf16bf36c6fc0f2", |
|
"hash_input_tokens": "8316464232c0bf48", |
|
"hash_cont_tokens": "684ff73d967c2b6e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 53, |
|
"padded": 144, |
|
"non_padded": 15, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "ca046355c96d95d9", |
|
"hash_full_prompts": "5c223e9a0d69252f", |
|
"hash_input_tokens": "0b1db8711c578414", |
|
"hash_cont_tokens": "8be242bc10b9de44" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 76, |
|
"padded": 222, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"hashes": { |
|
"hash_examples": "6ff77d23c0f3113d", |
|
"hash_full_prompts": "1b916bef0bfef0d7", |
|
"hash_input_tokens": "6e309d04ca5eb566", |
|
"hash_cont_tokens": "3d3fdfca9196709e" |
|
}, |
|
"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": "085db2421f8abf29", |
|
"hash_full_prompts": "9a7da4e1f7aa4ae2", |
|
"hash_input_tokens": "1e224096afb2e7fb", |
|
"hash_cont_tokens": "1cb98a58385bc45a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 73, |
|
"padded": 213, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"hashes": { |
|
"hash_examples": "78f4d16753b18c49", |
|
"hash_full_prompts": "9ac87b83d0b72320", |
|
"hash_input_tokens": "c8a82a29316ea3a7", |
|
"hash_cont_tokens": "58bd2e15a82e61fc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 57, |
|
"padded": 165, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"hashes": { |
|
"hash_examples": "373f72b4e30243c4", |
|
"hash_full_prompts": "2b36febb4a4e7774", |
|
"hash_input_tokens": "f5ca5e8d4d210ff3", |
|
"hash_cont_tokens": "79c2b457515b565a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 78, |
|
"padded": 228, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"hashes": { |
|
"hash_examples": "51fa7940e42ffcc6", |
|
"hash_full_prompts": "fd6ccd84897c1e6d", |
|
"hash_input_tokens": "e91b5ba536df41ae", |
|
"hash_cont_tokens": "5751bbf96b6eef3e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 55, |
|
"padded": 165, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"hashes": { |
|
"hash_examples": "25bf94d05f737b63", |
|
"hash_full_prompts": "d061dc670112776d", |
|
"hash_input_tokens": "a18bda283400aaa9", |
|
"hash_cont_tokens": "4221fa89d18784d7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2399, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "e65fe4df843f4380", |
|
"hash_full_prompts": "2bfcede5b775d51c", |
|
"hash_input_tokens": "c29d86c200314d4c", |
|
"hash_cont_tokens": "29b680135a9af59f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1489, |
|
"non_padded": 99, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
} |
|
}, |
|
"summary_general": { |
|
"hashes": { |
|
"hash_examples": "563b4287a89378f3", |
|
"hash_full_prompts": "612013bb748c1fb6", |
|
"hash_input_tokens": "d49cecf949d2bd62", |
|
"hash_cont_tokens": "945d0a8067fd3e89" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 91305, |
|
"padded": 332967, |
|
"non_padded": 2731, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |