|
{ |
|
"config_general": { |
|
"lighteval_sha": "?", |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": 0, |
|
"start_time": 844806.073808107, |
|
"end_time": 913940.796596755, |
|
"total_evaluation_time_secondes": "69134.7227886481", |
|
"model_name": "google/gemma-2-27b-it", |
|
"model_sha": "aaf20e6b9f4c0fcf043f6fb2a2068419086d77b0", |
|
"model_dtype": "torch.bfloat16", |
|
"model_size": "50.71 GB" |
|
}, |
|
"results": { |
|
"community|alghafa:mcq_exams_test_ar|0": { |
|
"acc_norm": 0.3500897666068223, |
|
"acc_norm_stderr": 0.020229213593146105 |
|
}, |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"acc_norm": 0.3608897126969416, |
|
"acc_norm_stderr": 0.006539125677117808 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"acc_norm": 0.4011173184357542, |
|
"acc_norm_stderr": 0.016392221899407065 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { |
|
"acc_norm": 0.52, |
|
"acc_norm_stderr": 0.05807730170189531 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { |
|
"acc_norm": 0.5666666666666667, |
|
"acc_norm_stderr": 0.04059586016811274 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { |
|
"acc_norm": 0.44666666666666666, |
|
"acc_norm_stderr": 0.04072790343023465 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { |
|
"acc_norm": 0.8547842401500938, |
|
"acc_norm_stderr": 0.003940515653483699 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": { |
|
"acc_norm": 0.5956630525437865, |
|
"acc_norm_stderr": 0.0063388967237741544 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"acc_norm": 0.4122093023255814, |
|
"acc_norm_stderr": 0.011872230233963381 |
|
}, |
|
"community|arabic_exams|0": { |
|
"acc_norm": 0.24394785847299813, |
|
"acc_norm_stderr": 0.018549917569286083 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"acc_norm": 0.33783783783783783, |
|
"acc_norm_stderr": 0.05535729934952122 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)|0": { |
|
"acc_norm": 0.32679738562091504, |
|
"acc_norm_stderr": 0.018975427920507208 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.273972602739726, |
|
"acc_norm_stderr": 0.02337649423370926 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"acc_norm": 0.3128205128205128, |
|
"acc_norm_stderr": 0.023507579020645354 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": { |
|
"acc_norm": 0.3333333333333333, |
|
"acc_norm_stderr": 0.09245003270420483 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": { |
|
"acc_norm": 0.3492063492063492, |
|
"acc_norm_stderr": 0.030090254334214264 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"acc_norm": 0.34776437189496096, |
|
"acc_norm_stderr": 0.012692391957016318 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"acc_norm": 0.26436781609195403, |
|
"acc_norm_stderr": 0.04755382188278443 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"acc_norm": 0.3093220338983051, |
|
"acc_norm_stderr": 0.03015152607148866 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"acc_norm": 0.367816091954023, |
|
"acc_norm_stderr": 0.029905454509792602 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"acc_norm": 0.37037037037037035, |
|
"acc_norm_stderr": 0.09470524295495535 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"acc_norm": 0.6263157894736842, |
|
"acc_norm_stderr": 0.03518990966860905 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)|0": { |
|
"acc_norm": 0.34375, |
|
"acc_norm_stderr": 0.05983919423477113 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"acc_norm": 0.49050371593724196, |
|
"acc_norm_stderr": 0.01437139665478236 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"acc_norm": 0.3888888888888889, |
|
"acc_norm_stderr": 0.02572916151091497 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"acc_norm": 0.2988505747126437, |
|
"acc_norm_stderr": 0.04936090495978012 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"acc_norm": 0.2846715328467153, |
|
"acc_norm_stderr": 0.03869504178921685 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"acc_norm": 0.3449074074074074, |
|
"acc_norm_stderr": 0.016180696327113237 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"acc_norm": 0.38372093023255816, |
|
"acc_norm_stderr": 0.03718762118238795 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"acc_norm": 0.2777777777777778, |
|
"acc_norm_stderr": 0.03529971794008837 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"acc_norm": 0.2774566473988439, |
|
"acc_norm_stderr": 0.013904012318277207 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"acc_norm": 0.3897058823529412, |
|
"acc_norm_stderr": 0.0296246635811597 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"acc_norm": 0.38596491228070173, |
|
"acc_norm_stderr": 0.06505437269382161 |
|
}, |
|
"community|arabic_mmlu:History (High School)|0": { |
|
"acc_norm": 0.3171052631578947, |
|
"acc_norm_stderr": 0.016891091712197062 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"acc_norm": 0.33004926108374383, |
|
"acc_norm_stderr": 0.03308530426228258 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"acc_norm": 0.24509803921568626, |
|
"acc_norm_stderr": 0.04280105837364396 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"acc_norm": 0.26604068857589985, |
|
"acc_norm_stderr": 0.017494425471198928 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": { |
|
"acc_norm": 0.3562874251497006, |
|
"acc_norm_stderr": 0.02624364335045722 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": { |
|
"acc_norm": 0.3697478991596639, |
|
"acc_norm_stderr": 0.03135709599613591 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": { |
|
"acc_norm": 0.5095095095095095, |
|
"acc_norm_stderr": 0.015824360650873233 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"acc_norm": 0.47770700636942676, |
|
"acc_norm_stderr": 0.028233566139982947 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"acc_norm": 0.7066666666666667, |
|
"acc_norm_stderr": 0.05292637528870839 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"acc_norm": 0.5036674816625917, |
|
"acc_norm_stderr": 0.024753022670357883 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": { |
|
"acc_norm": 0.3347107438016529, |
|
"acc_norm_stderr": 0.030397058562203243 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": { |
|
"acc_norm": 0.42857142857142855, |
|
"acc_norm_stderr": 0.027037727051850487 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"acc_norm": 0.358974358974359, |
|
"acc_norm_stderr": 0.07781756136754926 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)|0": { |
|
"acc_norm": 0.28627450980392155, |
|
"acc_norm_stderr": 0.028362211110152736 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"acc_norm": 0.37142857142857144, |
|
"acc_norm_stderr": 0.03342272296374861 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": { |
|
"acc_norm": 0.3278008298755187, |
|
"acc_norm_stderr": 0.030300401936858304 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": { |
|
"acc_norm": 0.5531914893617021, |
|
"acc_norm_stderr": 0.01873752105415627 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"acc_norm": 0.25, |
|
"acc_norm_stderr": 0.04351941398892446 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"acc_norm": 0.5333333333333333, |
|
"acc_norm_stderr": 0.043097329010363554 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"acc_norm": 0.7039473684210527, |
|
"acc_norm_stderr": 0.037150621549989056 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"acc_norm": 0.71, |
|
"acc_norm_stderr": 0.045604802157206845 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"acc_norm": 0.6415094339622641, |
|
"acc_norm_stderr": 0.029514703583981776 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology|0": { |
|
"acc_norm": 0.6805555555555556, |
|
"acc_norm_stderr": 0.03899073687357336 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"acc_norm": 0.5, |
|
"acc_norm_stderr": 0.050251890762960605 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"acc_norm": 0.45, |
|
"acc_norm_stderr": 0.049999999999999996 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics|0": { |
|
"acc_norm": 0.34, |
|
"acc_norm_stderr": 0.04760952285695235 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"acc_norm": 0.6184971098265896, |
|
"acc_norm_stderr": 0.03703851193099521 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"acc_norm": 0.4117647058823529, |
|
"acc_norm_stderr": 0.048971049527263666 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"acc_norm": 0.67, |
|
"acc_norm_stderr": 0.04725815626252609 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"acc_norm": 0.6638297872340425, |
|
"acc_norm_stderr": 0.030881618520676942 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"acc_norm": 0.5350877192982456, |
|
"acc_norm_stderr": 0.046920083813689104 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"acc_norm": 0.6068965517241379, |
|
"acc_norm_stderr": 0.040703290137070705 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"acc_norm": 0.43386243386243384, |
|
"acc_norm_stderr": 0.02552503438247489 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"acc_norm": 0.48412698412698413, |
|
"acc_norm_stderr": 0.04469881854072606 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"acc_norm": 0.43, |
|
"acc_norm_stderr": 0.049756985195624284 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology|0": { |
|
"acc_norm": 0.6821400472069237, |
|
"acc_norm_stderr": 0.007541855978892813 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": { |
|
"acc_norm": 0.6760458167330677, |
|
"acc_norm_stderr": 0.00738562216723855 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"acc_norm": 0.72, |
|
"acc_norm_stderr": 0.045126085985421276 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": { |
|
"acc_norm": 0.5504170755642787, |
|
"acc_norm_stderr": 0.0055099214390672046 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography|0": { |
|
"acc_norm": 0.7424242424242424, |
|
"acc_norm_stderr": 0.031156269519646836 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": { |
|
"acc_norm": 0.8031088082901554, |
|
"acc_norm_stderr": 0.028697873971860677 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": { |
|
"acc_norm": 0.6866136285022484, |
|
"acc_norm_stderr": 0.008628739170572912 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": { |
|
"acc_norm": 0.3333333333333333, |
|
"acc_norm_stderr": 0.028742040903948496 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": { |
|
"acc_norm": 0.6764705882352942, |
|
"acc_norm_stderr": 0.030388353551886793 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics|0": { |
|
"acc_norm": 0.4370860927152318, |
|
"acc_norm_stderr": 0.040500357222306355 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": { |
|
"acc_norm": 0.8018348623853211, |
|
"acc_norm_stderr": 0.017090573804217902 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": { |
|
"acc_norm": 0.6703686200378072, |
|
"acc_norm_stderr": 0.0072268593084120975 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"acc_norm": 0.75, |
|
"acc_norm_stderr": 0.03039153369274154 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": { |
|
"acc_norm": 0.7721518987341772, |
|
"acc_norm_stderr": 0.02730348459906942 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging|0": { |
|
"acc_norm": 0.6233183856502242, |
|
"acc_norm_stderr": 0.032521134899291884 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"acc_norm": 0.6717557251908397, |
|
"acc_norm_stderr": 0.04118438565806298 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"acc_norm": 0.7272727272727273, |
|
"acc_norm_stderr": 0.04065578140908705 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"acc_norm": 0.6481481481481481, |
|
"acc_norm_stderr": 0.04616631111801713 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"acc_norm": 0.6809815950920245, |
|
"acc_norm_stderr": 0.03661997551073836 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"acc_norm": 0.38392857142857145, |
|
"acc_norm_stderr": 0.04616143075028547 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"acc_norm": 0.6699029126213593, |
|
"acc_norm_stderr": 0.04656147110012352 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"acc_norm": 0.8076923076923077, |
|
"acc_norm_stderr": 0.025819233256483703 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"acc_norm": 0.68, |
|
"acc_norm_stderr": 0.046882617226215034 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"acc_norm": 0.6954545454545454, |
|
"acc_norm_stderr": 0.009357126520807607 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"acc_norm": 0.653179190751445, |
|
"acc_norm_stderr": 0.025624723994030457 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"acc_norm": 0.26033519553072626, |
|
"acc_norm_stderr": 0.014676252009319476 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"acc_norm": 0.7222222222222222, |
|
"acc_norm_stderr": 0.025646863097137904 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"acc_norm": 0.6527331189710611, |
|
"acc_norm_stderr": 0.027040745502307336 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"acc_norm": 0.5925925925925926, |
|
"acc_norm_stderr": 0.027339546640662737 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"acc_norm": 0.655959237926451, |
|
"acc_norm_stderr": 0.00707148639330064 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"acc_norm": 0.5471391010391887, |
|
"acc_norm_stderr": 0.0055701467287373714 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"acc_norm": 0.6860109957238851, |
|
"acc_norm_stderr": 0.011474429674312189 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"acc_norm": 0.6737082500713674, |
|
"acc_norm_stderr": 0.007922840418806174 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"acc_norm": 0.5818181818181818, |
|
"acc_norm_stderr": 0.04724577405731572 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"acc_norm": 0.6530612244897959, |
|
"acc_norm_stderr": 0.030472526026726496 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"acc_norm": 0.7910447761194029, |
|
"acc_norm_stderr": 0.028748298931728655 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"acc_norm": 0.77, |
|
"acc_norm_stderr": 0.042295258468165065 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"acc_norm": 0.45180722891566266, |
|
"acc_norm_stderr": 0.03874371556587953 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"acc_norm": 0.6549707602339181, |
|
"acc_norm_stderr": 0.036459813773888065 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"acc_norm": 0.6833333333333333, |
|
"acc_norm_stderr": 0.06056078175067058 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"acc_norm": 0.8490566037735849, |
|
"acc_norm_stderr": 0.0496447935456809 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"acc_norm": 0.7894736842105263, |
|
"acc_norm_stderr": 0.047075115315785 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"acc_norm": 0.9855072463768116, |
|
"acc_norm_stderr": 0.014492753623188399 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"acc_norm": 0.7945205479452054, |
|
"acc_norm_stderr": 0.04761793062697311 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"acc_norm": 0.7894736842105263, |
|
"acc_norm_stderr": 0.05447885994808057 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"acc_norm": 0.6923076923076923, |
|
"acc_norm_stderr": 0.05259718913521751 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"acc_norm": 0.8545454545454545, |
|
"acc_norm_stderr": 0.04797713974560773 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"acc_norm": 0.3937908496732026, |
|
"acc_norm_stderr": 0.019766211991073073 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.32054794520547947, |
|
"acc_norm_stderr": 0.02446105673894287 |
|
}, |
|
"community|alghafa:_average|0": { |
|
"acc_norm": 0.5008985251213681, |
|
"acc_norm_stderr": 0.022745918786792767 |
|
}, |
|
"community|arabic_mmlu:_average|0": { |
|
"acc_norm": 0.3707238484361408, |
|
"acc_norm_stderr": 0.03537218414405298 |
|
}, |
|
"community|arabic_mmlu_ht:_average|0": { |
|
"acc_norm": 0.6122884735499249, |
|
"acc_norm_stderr": 0.03195515840599496 |
|
}, |
|
"community|aratrust:_average|0": { |
|
"acc_norm": 0.8047772808378919, |
|
"acc_norm_stderr": 0.04680557046140048 |
|
}, |
|
"community|madinah_qa:_average|0": { |
|
"acc_norm": 0.35716939743934106, |
|
"acc_norm_stderr": 0.022113634365007972 |
|
}, |
|
"all": { |
|
"acc_norm": 0.5267862269738331, |
|
"acc_norm_stderr": 0.03314757618782455 |
|
}, |
|
"community|alrage_qa|0": { |
|
"llm_as_judge": 0.7989553656220219, |
|
"llm_as_judge_stderr": 0.00010532779443071906 |
|
} |
|
}, |
|
"versions": { |
|
"community|alghafa:mcq_exams_test_ar|0": 0, |
|
"community|alghafa:meta_ar_dialects|0": 0, |
|
"community|alghafa:meta_ar_msa|0": 0, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": 0, |
|
"community|alghafa:multiple_choice_sentiment_task|0": 0, |
|
"community|arabic_exams|0": 0, |
|
"community|arabic_mmlu:Accounting (University)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (General)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": 0, |
|
"community|arabic_mmlu:Biology (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (High School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (University)|0": 0, |
|
"community|arabic_mmlu:Driving Test|0": 0, |
|
"community|arabic_mmlu:Economics (High School)|0": 0, |
|
"community|arabic_mmlu:Economics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Economics (University)|0": 0, |
|
"community|arabic_mmlu:General Knowledge|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": 0, |
|
"community|arabic_mmlu:Geography (High School)|0": 0, |
|
"community|arabic_mmlu:Geography (Middle School)|0": 0, |
|
"community|arabic_mmlu:Geography (Primary School)|0": 0, |
|
"community|arabic_mmlu:History (High School)|0": 0, |
|
"community|arabic_mmlu:History (Middle School)|0": 0, |
|
"community|arabic_mmlu:History (Primary School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, |
|
"community|arabic_mmlu:Law (Professional)|0": 0, |
|
"community|arabic_mmlu:Management (University)|0": 0, |
|
"community|arabic_mmlu:Math (Primary School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Philosophy (High School)|0": 0, |
|
"community|arabic_mmlu:Physics (High School)|0": 0, |
|
"community|arabic_mmlu:Political Science (University)|0": 0, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": 0, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": 0, |
|
"community|arabic_mmlu_ht:anatomy|0": 0, |
|
"community|arabic_mmlu_ht:astronomy|0": 0, |
|
"community|arabic_mmlu_ht:business_ethics|0": 0, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": 0, |
|
"community|arabic_mmlu_ht:college_biology|0": 0, |
|
"community|arabic_mmlu_ht:college_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:college_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:college_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:college_medicine|0": 0, |
|
"community|arabic_mmlu_ht:college_physics|0": 0, |
|
"community|arabic_mmlu_ht:computer_security|0": 0, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": 0, |
|
"community|arabic_mmlu_ht:econometrics|0": 0, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": 0, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:formal_logic|0": 0, |
|
"community|arabic_mmlu_ht:global_facts|0": 0, |
|
"community|arabic_mmlu_ht:high_school_biology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_geography|0": 0, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_physics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": 0, |
|
"community|arabic_mmlu_ht:human_aging|0": 0, |
|
"community|arabic_mmlu_ht:human_sexuality|0": 0, |
|
"community|arabic_mmlu_ht:international_law|0": 0, |
|
"community|arabic_mmlu_ht:jurisprudence|0": 0, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": 0, |
|
"community|arabic_mmlu_ht:machine_learning|0": 0, |
|
"community|arabic_mmlu_ht:management|0": 0, |
|
"community|arabic_mmlu_ht:marketing|0": 0, |
|
"community|arabic_mmlu_ht:medical_genetics|0": 0, |
|
"community|arabic_mmlu_ht:miscellaneous|0": 0, |
|
"community|arabic_mmlu_ht:moral_disputes|0": 0, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": 0, |
|
"community|arabic_mmlu_ht:nutrition|0": 0, |
|
"community|arabic_mmlu_ht:philosophy|0": 0, |
|
"community|arabic_mmlu_ht:prehistory|0": 0, |
|
"community|arabic_mmlu_ht:professional_accounting|0": 0, |
|
"community|arabic_mmlu_ht:professional_law|0": 0, |
|
"community|arabic_mmlu_ht:professional_medicine|0": 0, |
|
"community|arabic_mmlu_ht:professional_psychology|0": 0, |
|
"community|arabic_mmlu_ht:public_relations|0": 0, |
|
"community|arabic_mmlu_ht:security_studies|0": 0, |
|
"community|arabic_mmlu_ht:sociology|0": 0, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": 0, |
|
"community|arabic_mmlu_ht:virology|0": 0, |
|
"community|arabic_mmlu_ht:world_religions|0": 0, |
|
"community|aratrust:Ethics|0": 0, |
|
"community|aratrust:Illegal|0": 0, |
|
"community|aratrust:MentalHealth|0": 0, |
|
"community|aratrust:Offensive|0": 0, |
|
"community|aratrust:PhysicalHealth|0": 0, |
|
"community|aratrust:Privacy|0": 0, |
|
"community|aratrust:Trustfulness|0": 0, |
|
"community|aratrust:Unfairness|0": 0, |
|
"community|madinah_qa:Arabic Language (General)|0": 0, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": 0, |
|
"community|alrage_qa|0": 0 |
|
}, |
|
"config_tasks": { |
|
"community|alghafa:mcq_exams_test_ar": { |
|
"name": "alghafa:mcq_exams_test_ar", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "mcq_exams_test_ar", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 557, |
|
"effective_num_docs": 557, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:meta_ar_dialects": { |
|
"name": "alghafa:meta_ar_dialects", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_dialects", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5395, |
|
"effective_num_docs": 5395, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:meta_ar_msa": { |
|
"name": "alghafa:meta_ar_msa", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_msa", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task": { |
|
"name": "alghafa:multiple_choice_facts_truefalse_balanced_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_facts_truefalse_balanced_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_soqal_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_soqal_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7995, |
|
"effective_num_docs": 7995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5995, |
|
"effective_num_docs": 5995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task": { |
|
"name": "alghafa:multiple_choice_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1720, |
|
"effective_num_docs": 1720, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_exams": { |
|
"name": "arabic_exams", |
|
"prompt_function": "arabic_exams_pfn", |
|
"hf_repo": "OALL/Arabic_EXAMS", |
|
"hf_subset": "default", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": null, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 537, |
|
"effective_num_docs": 537, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)": { |
|
"name": "arabic_mmlu:Accounting (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Accounting (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 74, |
|
"effective_num_docs": 74, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)": { |
|
"name": "arabic_mmlu:Arabic Language (General)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)": { |
|
"name": "arabic_mmlu:Arabic Language (Grammar)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)": { |
|
"name": "arabic_mmlu:Arabic Language (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 390, |
|
"effective_num_docs": 390, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)": { |
|
"name": "arabic_mmlu:Arabic Language (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)": { |
|
"name": "arabic_mmlu:Arabic Language (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 252, |
|
"effective_num_docs": 252, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)": { |
|
"name": "arabic_mmlu:Biology (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Biology (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1409, |
|
"effective_num_docs": 1409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)": { |
|
"name": "arabic_mmlu:Civics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)": { |
|
"name": "arabic_mmlu:Civics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 236, |
|
"effective_num_docs": 236, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)": { |
|
"name": "arabic_mmlu:Computer Science (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 261, |
|
"effective_num_docs": 261, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)": { |
|
"name": "arabic_mmlu:Computer Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)": { |
|
"name": "arabic_mmlu:Computer Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 190, |
|
"effective_num_docs": 190, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)": { |
|
"name": "arabic_mmlu:Computer Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 64, |
|
"effective_num_docs": 64, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Driving Test": { |
|
"name": "arabic_mmlu:Driving Test", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Driving Test", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1211, |
|
"effective_num_docs": 1211, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)": { |
|
"name": "arabic_mmlu:Economics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 360, |
|
"effective_num_docs": 360, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)": { |
|
"name": "arabic_mmlu:Economics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (University)": { |
|
"name": "arabic_mmlu:Economics (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 137, |
|
"effective_num_docs": 137, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge": { |
|
"name": "arabic_mmlu:General Knowledge", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 864, |
|
"effective_num_docs": 864, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)": { |
|
"name": "arabic_mmlu:General Knowledge (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 172, |
|
"effective_num_docs": 172, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)": { |
|
"name": "arabic_mmlu:General Knowledge (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 162, |
|
"effective_num_docs": 162, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)": { |
|
"name": "arabic_mmlu:Geography (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1038, |
|
"effective_num_docs": 1038, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)": { |
|
"name": "arabic_mmlu:Geography (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 272, |
|
"effective_num_docs": 272, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)": { |
|
"name": "arabic_mmlu:Geography (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (High School)": { |
|
"name": "arabic_mmlu:History (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 760, |
|
"effective_num_docs": 760, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)": { |
|
"name": "arabic_mmlu:History (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 203, |
|
"effective_num_docs": 203, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)": { |
|
"name": "arabic_mmlu:History (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies": { |
|
"name": "arabic_mmlu:Islamic Studies", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 639, |
|
"effective_num_docs": 639, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)": { |
|
"name": "arabic_mmlu:Islamic Studies (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 334, |
|
"effective_num_docs": 334, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 999, |
|
"effective_num_docs": 999, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)": { |
|
"name": "arabic_mmlu:Law (Professional)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Law (Professional)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 314, |
|
"effective_num_docs": 314, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)": { |
|
"name": "arabic_mmlu:Management (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Management (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)": { |
|
"name": "arabic_mmlu:Math (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Math (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 409, |
|
"effective_num_docs": 409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)": { |
|
"name": "arabic_mmlu:Natural Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 242, |
|
"effective_num_docs": 242, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)": { |
|
"name": "arabic_mmlu:Natural Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 336, |
|
"effective_num_docs": 336, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)": { |
|
"name": "arabic_mmlu:Philosophy (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Philosophy (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 39, |
|
"effective_num_docs": 39, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)": { |
|
"name": "arabic_mmlu:Physics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Physics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 255, |
|
"effective_num_docs": 255, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)": { |
|
"name": "arabic_mmlu:Political Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Political Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 210, |
|
"effective_num_docs": 210, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)": { |
|
"name": "arabic_mmlu:Social Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 241, |
|
"effective_num_docs": 241, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)": { |
|
"name": "arabic_mmlu:Social Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 705, |
|
"effective_num_docs": 705, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra": { |
|
"name": "arabic_mmlu_ht:abstract_algebra", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "abstract_algebra", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy": { |
|
"name": "arabic_mmlu_ht:anatomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "anatomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 135, |
|
"effective_num_docs": 135, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy": { |
|
"name": "arabic_mmlu_ht:astronomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "astronomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 152, |
|
"effective_num_docs": 152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics": { |
|
"name": "arabic_mmlu_ht:business_ethics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "business_ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge": { |
|
"name": "arabic_mmlu_ht:clinical_knowledge", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "clinical_knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 265, |
|
"effective_num_docs": 265, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology": { |
|
"name": "arabic_mmlu_ht:college_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 144, |
|
"effective_num_docs": 144, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry": { |
|
"name": "arabic_mmlu_ht:college_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science": { |
|
"name": "arabic_mmlu_ht:college_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics": { |
|
"name": "arabic_mmlu_ht:college_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine": { |
|
"name": "arabic_mmlu_ht:college_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 173, |
|
"effective_num_docs": 173, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics": { |
|
"name": "arabic_mmlu_ht:college_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security": { |
|
"name": "arabic_mmlu_ht:computer_security", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "computer_security", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics": { |
|
"name": "arabic_mmlu_ht:conceptual_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "conceptual_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 235, |
|
"effective_num_docs": 235, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics": { |
|
"name": "arabic_mmlu_ht:econometrics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "econometrics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 114, |
|
"effective_num_docs": 114, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering": { |
|
"name": "arabic_mmlu_ht:electrical_engineering", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "electrical_engineering", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 145, |
|
"effective_num_docs": 145, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics": { |
|
"name": "arabic_mmlu_ht:elementary_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "elementary_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 378, |
|
"effective_num_docs": 378, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic": { |
|
"name": "arabic_mmlu_ht:formal_logic", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "formal_logic", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 126, |
|
"effective_num_docs": 126, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts": { |
|
"name": "arabic_mmlu_ht:global_facts", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "global_facts", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology": { |
|
"name": "arabic_mmlu_ht:high_school_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3813, |
|
"effective_num_docs": 3813, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry": { |
|
"name": "arabic_mmlu_ht:high_school_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4016, |
|
"effective_num_docs": 4016, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science": { |
|
"name": "arabic_mmlu_ht:high_school_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history": { |
|
"name": "arabic_mmlu_ht:high_school_european_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_european_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 8152, |
|
"effective_num_docs": 8152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography": { |
|
"name": "arabic_mmlu_ht:high_school_geography", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_geography", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 198, |
|
"effective_num_docs": 198, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics": { |
|
"name": "arabic_mmlu_ht:high_school_government_and_politics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_government_and_politics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 193, |
|
"effective_num_docs": 193, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_macroeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_macroeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2891, |
|
"effective_num_docs": 2891, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics": { |
|
"name": "arabic_mmlu_ht:high_school_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 270, |
|
"effective_num_docs": 270, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_microeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_microeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics": { |
|
"name": "arabic_mmlu_ht:high_school_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 151, |
|
"effective_num_docs": 151, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology": { |
|
"name": "arabic_mmlu_ht:high_school_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 545, |
|
"effective_num_docs": 545, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics": { |
|
"name": "arabic_mmlu_ht:high_school_statistics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_statistics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4232, |
|
"effective_num_docs": 4232, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history": { |
|
"name": "arabic_mmlu_ht:high_school_us_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_us_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 204, |
|
"effective_num_docs": 204, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history": { |
|
"name": "arabic_mmlu_ht:high_school_world_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_world_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 237, |
|
"effective_num_docs": 237, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging": { |
|
"name": "arabic_mmlu_ht:human_aging", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_aging", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 223, |
|
"effective_num_docs": 223, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality": { |
|
"name": "arabic_mmlu_ht:human_sexuality", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_sexuality", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 131, |
|
"effective_num_docs": 131, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:international_law": { |
|
"name": "arabic_mmlu_ht:international_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "international_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 121, |
|
"effective_num_docs": 121, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence": { |
|
"name": "arabic_mmlu_ht:jurisprudence", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "jurisprudence", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 108, |
|
"effective_num_docs": 108, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies": { |
|
"name": "arabic_mmlu_ht:logical_fallacies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "logical_fallacies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 163, |
|
"effective_num_docs": 163, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning": { |
|
"name": "arabic_mmlu_ht:machine_learning", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "machine_learning", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 112, |
|
"effective_num_docs": 112, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management": { |
|
"name": "arabic_mmlu_ht:management", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "management", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 103, |
|
"effective_num_docs": 103, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing": { |
|
"name": "arabic_mmlu_ht:marketing", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "marketing", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 234, |
|
"effective_num_docs": 234, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics": { |
|
"name": "arabic_mmlu_ht:medical_genetics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "medical_genetics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous": { |
|
"name": "arabic_mmlu_ht:miscellaneous", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "miscellaneous", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2420, |
|
"effective_num_docs": 2420, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes": { |
|
"name": "arabic_mmlu_ht:moral_disputes", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_disputes", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 346, |
|
"effective_num_docs": 346, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios": { |
|
"name": "arabic_mmlu_ht:moral_scenarios", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_scenarios", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition": { |
|
"name": "arabic_mmlu_ht:nutrition", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "nutrition", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 306, |
|
"effective_num_docs": 306, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy": { |
|
"name": "arabic_mmlu_ht:philosophy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "philosophy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 311, |
|
"effective_num_docs": 311, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory": { |
|
"name": "arabic_mmlu_ht:prehistory", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "prehistory", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 324, |
|
"effective_num_docs": 324, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting": { |
|
"name": "arabic_mmlu_ht:professional_accounting", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_accounting", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4514, |
|
"effective_num_docs": 4514, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law": { |
|
"name": "arabic_mmlu_ht:professional_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7987, |
|
"effective_num_docs": 7987, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine": { |
|
"name": "arabic_mmlu_ht:professional_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1637, |
|
"effective_num_docs": 1637, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology": { |
|
"name": "arabic_mmlu_ht:professional_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3503, |
|
"effective_num_docs": 3503, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations": { |
|
"name": "arabic_mmlu_ht:public_relations", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "public_relations", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 110, |
|
"effective_num_docs": 110, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies": { |
|
"name": "arabic_mmlu_ht:security_studies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "security_studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 245, |
|
"effective_num_docs": 245, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology": { |
|
"name": "arabic_mmlu_ht:sociology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "sociology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 201, |
|
"effective_num_docs": 201, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy": { |
|
"name": "arabic_mmlu_ht:us_foreign_policy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "us_foreign_policy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology": { |
|
"name": "arabic_mmlu_ht:virology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "virology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 166, |
|
"effective_num_docs": 166, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions": { |
|
"name": "arabic_mmlu_ht:world_religions", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "world_religions", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 171, |
|
"effective_num_docs": 171, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Ethics": { |
|
"name": "aratrust:Ethics", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 60, |
|
"effective_num_docs": 60, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Illegal": { |
|
"name": "aratrust:Illegal", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Illegal", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 53, |
|
"effective_num_docs": 53, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:MentalHealth": { |
|
"name": "aratrust:MentalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "MentalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 76, |
|
"effective_num_docs": 76, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Offensive": { |
|
"name": "aratrust:Offensive", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Offensive", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 69, |
|
"effective_num_docs": 69, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth": { |
|
"name": "aratrust:PhysicalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "PhysicalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 73, |
|
"effective_num_docs": 73, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Privacy": { |
|
"name": "aratrust:Privacy", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Privacy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Trustfulness": { |
|
"name": "aratrust:Trustfulness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Trustfulness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 78, |
|
"effective_num_docs": 78, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Unfairness": { |
|
"name": "aratrust:Unfairness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Unfairness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 55, |
|
"effective_num_docs": 55, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)": { |
|
"name": "madinah_qa:Arabic Language (General)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)": { |
|
"name": "madinah_qa:Arabic Language (Grammar)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alrage_qa": { |
|
"name": "alrage_qa", |
|
"prompt_function": "qa_prompt_arabic", |
|
"hf_repo": "OALL/ALRAGE", |
|
"hf_subset": null, |
|
"metric": [ |
|
{ |
|
"metric_name": "llm_as_judge", |
|
"higher_is_better": true, |
|
"category": "7", |
|
"use_case": "10", |
|
"sample_level_fn": "_sample_level_fn", |
|
"corpus_level_fn": "aggregate_scores" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": 200, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2106, |
|
"effective_num_docs": 2106, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
} |
|
}, |
|
"summary_tasks": { |
|
"community|alghafa:mcq_exams_test_ar|0": { |
|
"hashes": { |
|
"hash_examples": "c07a5e78c5c0b8fe", |
|
"hash_full_prompts": "3aa44c0acc675498", |
|
"hash_input_tokens": "cfcba9176cf96114", |
|
"hash_cont_tokens": "a4b5cde07689a241" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 557, |
|
"padded": 2228, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"hashes": { |
|
"hash_examples": "c0b6081f83e14064", |
|
"hash_full_prompts": "432ee2ee192ab68f", |
|
"hash_input_tokens": "767db1c1e1cf0420", |
|
"hash_cont_tokens": "4fbb30b02cfeb5fc" |
|
}, |
|
"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": "ee21514e8434ea72", |
|
"hash_input_tokens": "b0dd0e9ed8f44ceb", |
|
"hash_cont_tokens": "78946fb56f7c208e" |
|
}, |
|
"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": "f1c6aac23a5fb263", |
|
"hash_input_tokens": "990a114c4aa3392e", |
|
"hash_cont_tokens": "13c2f57cade6f606" |
|
}, |
|
"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": "fa355419836084b6", |
|
"hash_input_tokens": "3b03d2bfb8c507a3", |
|
"hash_cont_tokens": "b996ea6d28976bee" |
|
}, |
|
"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": "209f420cfa14f92a", |
|
"hash_input_tokens": "d44602ba1b8d9762", |
|
"hash_cont_tokens": "bc720754176e304f" |
|
}, |
|
"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": "414a7b766b972084", |
|
"hash_input_tokens": "46000e7d8354db7e", |
|
"hash_cont_tokens": "e924c385f778b255" |
|
}, |
|
"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": "d8ba218478c2c0df", |
|
"hash_input_tokens": "fe9907fb36ea1b50", |
|
"hash_cont_tokens": "e9ddde446c261879" |
|
}, |
|
"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": "6a97b6ef16772e57", |
|
"hash_input_tokens": "d660e1b5df13748d", |
|
"hash_cont_tokens": "402ca55a36435f78" |
|
}, |
|
"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": "1cbccc26e316371d", |
|
"hash_input_tokens": "bfc9713fdae8329b", |
|
"hash_cont_tokens": "fca965456f1f6fd2" |
|
}, |
|
"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": "db499259618e7744", |
|
"hash_input_tokens": "81b41f0ecfa840c7", |
|
"hash_cont_tokens": "722e92e0ed8eef05" |
|
}, |
|
"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": "79c61a7ea6db10e1", |
|
"hash_input_tokens": "2aa5759c1185e88a", |
|
"hash_cont_tokens": "e0b98bf5e852b311" |
|
}, |
|
"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": "6e9b27321ba96f60", |
|
"hash_input_tokens": "a75efabdd15ba463", |
|
"hash_cont_tokens": "9b45f8df4797b70a" |
|
}, |
|
"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": "c18dc57fe61ea6ed", |
|
"hash_input_tokens": "1446448cec952688", |
|
"hash_cont_tokens": "6202201a407de8a6" |
|
}, |
|
"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": "00301b3fa4e42eb2", |
|
"hash_input_tokens": "7c6d3a2710c39035", |
|
"hash_cont_tokens": "29edad370d9b6d77" |
|
}, |
|
"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": "d14626826590eddb", |
|
"hash_input_tokens": "333c908851cc71b8", |
|
"hash_cont_tokens": "3da539ef53855623" |
|
}, |
|
"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": "4b45589c7c6c5c1f", |
|
"hash_input_tokens": "422543c547dc1448", |
|
"hash_cont_tokens": "d114e74b2bc98f2b" |
|
}, |
|
"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": "10393aef38b4319d", |
|
"hash_input_tokens": "a7e41051d526a312", |
|
"hash_cont_tokens": "528a5a2bdda00b42" |
|
}, |
|
"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": "f009cadac4266270", |
|
"hash_input_tokens": "887e788dc013e040", |
|
"hash_cont_tokens": "75d6d9fd3da64a8f" |
|
}, |
|
"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": "9470b61e26e8612f", |
|
"hash_input_tokens": "e3a63cc32927a557", |
|
"hash_cont_tokens": "82a19a756de7d8bc" |
|
}, |
|
"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": "52ebd80d62e91d27", |
|
"hash_input_tokens": "b0c4367bccab6337", |
|
"hash_cont_tokens": "2de48c62107e1bff" |
|
}, |
|
"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": "27b0bf8e59ab2d81", |
|
"hash_input_tokens": "8d743da08324f2a2", |
|
"hash_cont_tokens": "b4b8ad2c5c96a780" |
|
}, |
|
"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": "748c0b17d4ff0707", |
|
"hash_input_tokens": "d5f51f7c0b3632ff", |
|
"hash_cont_tokens": "916f5d493f4d8503" |
|
}, |
|
"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": "49b12bfa63322024", |
|
"hash_input_tokens": "555eed141a9f0815", |
|
"hash_cont_tokens": "d6cb5e7eca4cdbb0" |
|
}, |
|
"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": "248186d55e2ccc75", |
|
"hash_input_tokens": "f82c70c1b308fc1e", |
|
"hash_cont_tokens": "aed1084168b32733" |
|
}, |
|
"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": "192425c086aaf081", |
|
"hash_input_tokens": "72258f79ad62038d", |
|
"hash_cont_tokens": "1cf14304da0991a6" |
|
}, |
|
"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": "4b0b79ffd03fa62a", |
|
"hash_input_tokens": "ef91abf65f806d51", |
|
"hash_cont_tokens": "6d8eefac8441ae6f" |
|
}, |
|
"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": "3743d091f4324c15", |
|
"hash_input_tokens": "2189b941644b3ac2", |
|
"hash_cont_tokens": "0bbef8c66dfb12c2" |
|
}, |
|
"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": "69bb595dcf59d968", |
|
"hash_input_tokens": "22ed2207b840a67f", |
|
"hash_cont_tokens": "8cf21e849e75a6b6" |
|
}, |
|
"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": "da497d6ff99fa556", |
|
"hash_input_tokens": "3d5761732d40d74a", |
|
"hash_cont_tokens": "8dd7837f42ce56c1" |
|
}, |
|
"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": "66125f31bf96e756", |
|
"hash_input_tokens": "d4eb44d974287eec", |
|
"hash_cont_tokens": "b91a848eb3775a72" |
|
}, |
|
"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": "8a70a39448b96a2c", |
|
"hash_input_tokens": "5c73475126744798", |
|
"hash_cont_tokens": "0f1ee943a5ab6032" |
|
}, |
|
"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": "42a0870ef040583c", |
|
"hash_input_tokens": "639f46a5da503a7e", |
|
"hash_cont_tokens": "cc16316a5a4d2fd7" |
|
}, |
|
"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": "b39033f1f1bb605c", |
|
"hash_input_tokens": "bfbf1d8985681553", |
|
"hash_cont_tokens": "dbfe068cd109683f" |
|
}, |
|
"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": "894b115d0a9295dc", |
|
"hash_input_tokens": "a78f5d3b3129b1ac", |
|
"hash_cont_tokens": "6b9ee60d0401aa4a" |
|
}, |
|
"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": "066eefeab8067aaa", |
|
"hash_input_tokens": "05a5e0cc4c657704", |
|
"hash_cont_tokens": "17cf0e1bf91880c3" |
|
}, |
|
"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": "04d6f055bdf7e23d", |
|
"hash_input_tokens": "db22255bdbcd5ab0", |
|
"hash_cont_tokens": "3287e41b63d8d4c3" |
|
}, |
|
"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": "ac0501fc4830be10", |
|
"hash_input_tokens": "84d1c7f52248b902", |
|
"hash_cont_tokens": "773414d1333a19bb" |
|
}, |
|
"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": "1f57f8bb47add3f2", |
|
"hash_input_tokens": "b12961db01ad4203", |
|
"hash_cont_tokens": "c26f7323d0a2a9a8" |
|
}, |
|
"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": "68e224f62c374421", |
|
"hash_input_tokens": "784b419223a6b45d", |
|
"hash_cont_tokens": "5d0c2ae73a8231ab" |
|
}, |
|
"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": "492453fc57ea07d3", |
|
"hash_input_tokens": "01c046cee1959e2a", |
|
"hash_cont_tokens": "1d436b61561818b3" |
|
}, |
|
"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": "b4a18e0fa43fa072", |
|
"hash_input_tokens": "ef60bd5a6863a75a", |
|
"hash_cont_tokens": "1981e98962781f9a" |
|
}, |
|
"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": "d41edfb20a238968", |
|
"hash_input_tokens": "81c9b1724c17f946", |
|
"hash_cont_tokens": "d13ff3a1a2c6f760" |
|
}, |
|
"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": "9cb5320432a17cd9", |
|
"hash_input_tokens": "eff36a4aa19e7d63", |
|
"hash_cont_tokens": "e6b0b16caa92a2bb" |
|
}, |
|
"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": "df8584ce2c5d04f0", |
|
"hash_input_tokens": "c7111efda5b3adbb", |
|
"hash_cont_tokens": "37e9dbe21639fa2a" |
|
}, |
|
"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": "c3e11eac13c771c0", |
|
"hash_input_tokens": "459d53c73ac19883", |
|
"hash_cont_tokens": "0cf456155ad8748c" |
|
}, |
|
"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": "de9e751f8bc1ecec", |
|
"hash_input_tokens": "ffccf1361915c9a9", |
|
"hash_cont_tokens": "da8c90d9a7e0fe06" |
|
}, |
|
"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": "84f2f0f7f0da48ff", |
|
"hash_input_tokens": "06b96f1e133570d8", |
|
"hash_cont_tokens": "265a627fab96c32a" |
|
}, |
|
"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": "cdc0374d0c484e17", |
|
"hash_input_tokens": "2ed75d142b85f358", |
|
"hash_cont_tokens": "5660af9aaa36f96f" |
|
}, |
|
"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": "1d2eb0c40dfe5dcf", |
|
"hash_input_tokens": "6295a35ca123be76", |
|
"hash_cont_tokens": "244f555886b69fee" |
|
}, |
|
"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": "95933c4147bf257d", |
|
"hash_input_tokens": "2501f51aab81d5ab", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "e2b79dd85b4de89f", |
|
"hash_input_tokens": "5ea23cd5bd1c0a88", |
|
"hash_cont_tokens": "0628d49ae9f8b974" |
|
}, |
|
"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": "50746f7352b71882", |
|
"hash_input_tokens": "278cb930a05c57f2", |
|
"hash_cont_tokens": "b7a58f27972beb74" |
|
}, |
|
"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": "3f4b98a72ce423ce", |
|
"hash_input_tokens": "eeeb0f7accde4b02", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "8edd247d991f41b2", |
|
"hash_input_tokens": "4c0a52cb920f3cbe", |
|
"hash_cont_tokens": "82a0038e37a8fc52" |
|
}, |
|
"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": "f8e573da3c14e0ff", |
|
"hash_input_tokens": "9e9817ac13593c6a", |
|
"hash_cont_tokens": "23018926e60118b5" |
|
}, |
|
"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": "4b7100add9d02fd7", |
|
"hash_input_tokens": "3447033a9240714a", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "0e315a8a1f02c587", |
|
"hash_input_tokens": "fe7e4474abddaf17", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "c6c5a394084fa23d", |
|
"hash_input_tokens": "afb8eb11487a75ad", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "0d2efdee93ae2e7e", |
|
"hash_input_tokens": "546563a992eb2d23", |
|
"hash_cont_tokens": "9b1635576d7acead" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 173, |
|
"padded": 688, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"hashes": { |
|
"hash_examples": "2d3e015989b108db", |
|
"hash_full_prompts": "b8e3300134b40f96", |
|
"hash_input_tokens": "37bc84f213820a10", |
|
"hash_cont_tokens": "5ffe9183a1fcf79c" |
|
}, |
|
"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": "ff72c04340dc8156", |
|
"hash_input_tokens": "1ceaf0ecf2f38420", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "51181c403504f297", |
|
"hash_input_tokens": "e1ce9b873ec9169e", |
|
"hash_cont_tokens": "e45443c0f50960b4" |
|
}, |
|
"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": "9d3f23546cc1bb9a", |
|
"hash_input_tokens": "f91ba4eeeae737a4", |
|
"hash_cont_tokens": "f91d634b14c5e1c2" |
|
}, |
|
"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": "435a54e1ec43d62a", |
|
"hash_input_tokens": "d8010f96e8ad1406", |
|
"hash_cont_tokens": "9bd5af701df11a58" |
|
}, |
|
"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": "982c43fa30fc96d0", |
|
"hash_input_tokens": "32e1450181f7ff94", |
|
"hash_cont_tokens": "19dec52aa573ebe3" |
|
}, |
|
"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": "2f229b7bdce3b5b9", |
|
"hash_input_tokens": "cbabc91fd0b40c06", |
|
"hash_cont_tokens": "966dddf65896abf7" |
|
}, |
|
"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": "de25ad29edc4a007", |
|
"hash_input_tokens": "d79a34d7295bc316", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "61159725149f33fa", |
|
"hash_input_tokens": "25ca982ee1350e3f", |
|
"hash_cont_tokens": "c95c810b6bed184c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3813, |
|
"padded": 15252, |
|
"non_padded": 0, |
|
"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": "d3551056d52b4cf4", |
|
"hash_input_tokens": "75af5a9864cf136c", |
|
"hash_cont_tokens": "586db2a947a768e8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4016, |
|
"padded": 16064, |
|
"non_padded": 0, |
|
"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": "a459ba94cb4e2aba", |
|
"hash_input_tokens": "cc843a09e10c1df9", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": { |
|
"hashes": { |
|
"hash_examples": "031c49a430356414", |
|
"hash_full_prompts": "e32ed90e688af5f4", |
|
"hash_input_tokens": "d0508c269421e193", |
|
"hash_cont_tokens": "ea5fcf32fb65faef" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 8152, |
|
"padded": 32608, |
|
"non_padded": 0, |
|
"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": "c8fa73a760d6f411", |
|
"hash_input_tokens": "6543ef08bffef591", |
|
"hash_cont_tokens": "92409f576406eb4b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 198, |
|
"padded": 792, |
|
"non_padded": 0, |
|
"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": "19833a4ce9e0d0a3", |
|
"hash_input_tokens": "568db18e9c4b6781", |
|
"hash_cont_tokens": "305fb0ae0418294b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 193, |
|
"padded": 772, |
|
"non_padded": 0, |
|
"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": "e21b38a67eeaef7f", |
|
"hash_input_tokens": "73ba6f5abb27a45b", |
|
"hash_cont_tokens": "8892ec4dc85a392c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2891, |
|
"padded": 11564, |
|
"non_padded": 0, |
|
"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": "51a418ed81020eda", |
|
"hash_input_tokens": "7d68c5dd425ec4f8", |
|
"hash_cont_tokens": "f856e2d9fc6cfdfc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 270, |
|
"padded": 1080, |
|
"non_padded": 0, |
|
"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": "3a269c9c9c024138", |
|
"hash_input_tokens": "4555d70305d776e1", |
|
"hash_cont_tokens": "c5820c1aeb211d23" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 952, |
|
"non_padded": 0, |
|
"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": "60fc3516df7aa5cd", |
|
"hash_input_tokens": "fb15f891cac9f8e0", |
|
"hash_cont_tokens": "fb84853294b2b0d0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 151, |
|
"padded": 604, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": { |
|
"hashes": { |
|
"hash_examples": "323f7848fee32e58", |
|
"hash_full_prompts": "e2845300b716ce2d", |
|
"hash_input_tokens": "74f7479cf8d4d5cc", |
|
"hash_cont_tokens": "b558e30df7a1239f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 545, |
|
"padded": 2180, |
|
"non_padded": 0, |
|
"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": "5422220042084be4", |
|
"hash_input_tokens": "7a2c376ffc58d28e", |
|
"hash_cont_tokens": "000017053f382976" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4232, |
|
"padded": 16675, |
|
"non_padded": 253, |
|
"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": "3925bc0bd0fd0b01", |
|
"hash_input_tokens": "59f712735456c431", |
|
"hash_cont_tokens": "bcacce95ad24ca35" |
|
}, |
|
"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": "00298ee42f567512", |
|
"hash_input_tokens": "61e357fe756a39ae", |
|
"hash_cont_tokens": "81b85933ff75eada" |
|
}, |
|
"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": "1abce9fc7c4b3a2b", |
|
"hash_input_tokens": "717120b7b1f47a07", |
|
"hash_cont_tokens": "defb7fa0538591e9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 223, |
|
"padded": 856, |
|
"non_padded": 36, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"hashes": { |
|
"hash_examples": "47551ab4e5dcf6c5", |
|
"hash_full_prompts": "13aacd26782b8978", |
|
"hash_input_tokens": "fbc5cddf19ad2aa7", |
|
"hash_cont_tokens": "1549f2f21fc02698" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 131, |
|
"padded": 508, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"hashes": { |
|
"hash_examples": "da360336943398d5", |
|
"hash_full_prompts": "aa286f39924c51f1", |
|
"hash_input_tokens": "8c95829384888c4f", |
|
"hash_cont_tokens": "c1adbcb36434e9cc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 121, |
|
"padded": 480, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"hashes": { |
|
"hash_examples": "661d161a486fb035", |
|
"hash_full_prompts": "513c332feb5510c6", |
|
"hash_input_tokens": "38922068d69e7a09", |
|
"hash_cont_tokens": "78f6791d5b651593" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 108, |
|
"padded": 428, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"hashes": { |
|
"hash_examples": "5c3926384758bda7", |
|
"hash_full_prompts": "c6d490e10642408b", |
|
"hash_input_tokens": "86feb9acd5fe47f6", |
|
"hash_cont_tokens": "52f71f5e13bdb440" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 163, |
|
"padded": 632, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"hashes": { |
|
"hash_examples": "3ce756e6a22ffc48", |
|
"hash_full_prompts": "720953f45fae8f86", |
|
"hash_input_tokens": "b19e92a6ce31ac5d", |
|
"hash_cont_tokens": "e8f373ce528c59e0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 112, |
|
"padded": 436, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"hashes": { |
|
"hash_examples": "20fe769bb3276832", |
|
"hash_full_prompts": "01078dc3b1a4b16d", |
|
"hash_input_tokens": "1dffdce9414bb430", |
|
"hash_cont_tokens": "f579c92ec22a5e4f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 103, |
|
"padded": 364, |
|
"non_padded": 48, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"hashes": { |
|
"hash_examples": "6b19449559d987ce", |
|
"hash_full_prompts": "7bc59abc23f712cb", |
|
"hash_input_tokens": "09daca0e550cbe81", |
|
"hash_cont_tokens": "06b5e63365285b62" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 234, |
|
"padded": 916, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"hashes": { |
|
"hash_examples": "cbb0fa9df0f5435a", |
|
"hash_full_prompts": "f0e105a56893e8e9", |
|
"hash_input_tokens": "4c32e5fc9dd9b5c3", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"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": "229b4054aa9f34bb", |
|
"hash_input_tokens": "89843b1937203f51", |
|
"hash_cont_tokens": "ace4e42b79881976" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2420, |
|
"padded": 9464, |
|
"non_padded": 216, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"hashes": { |
|
"hash_examples": "1ac8a0967c82caa0", |
|
"hash_full_prompts": "ec3671cabecc6344", |
|
"hash_input_tokens": "cf8dfde25b32f4b0", |
|
"hash_cont_tokens": "343b198ebf398086" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 346, |
|
"padded": 1368, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"hashes": { |
|
"hash_examples": "2c0670188bc5a789", |
|
"hash_full_prompts": "b51dacb803bbe364", |
|
"hash_input_tokens": "f97d1f4a5e9c72db", |
|
"hash_cont_tokens": "486782219e185240" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3573, |
|
"non_padded": 7, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"hashes": { |
|
"hash_examples": "658628c0dcdfe201", |
|
"hash_full_prompts": "124ff236597b1dc6", |
|
"hash_input_tokens": "f3097ba78e78d2d4", |
|
"hash_cont_tokens": "e6b09983adb6beb8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 306, |
|
"padded": 1200, |
|
"non_padded": 24, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"hashes": { |
|
"hash_examples": "8b6707b322affafd", |
|
"hash_full_prompts": "1a0e5b3ca0b7ef29", |
|
"hash_input_tokens": "87f51ed884a34821", |
|
"hash_cont_tokens": "c62cb6bed228b362" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 311, |
|
"padded": 1188, |
|
"non_padded": 56, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"hashes": { |
|
"hash_examples": "0c85ffcdc9a7b367", |
|
"hash_full_prompts": "e4dfab2acb200855", |
|
"hash_input_tokens": "a5c0c63087a043da", |
|
"hash_cont_tokens": "6d4b228157c20260" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 324, |
|
"padded": 1256, |
|
"non_padded": 40, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"hashes": { |
|
"hash_examples": "cce1ea2d5f544b2f", |
|
"hash_full_prompts": "abe05004b8eb9a34", |
|
"hash_input_tokens": "6a312ae06ff6901e", |
|
"hash_cont_tokens": "7a6e201618ba8900" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4514, |
|
"padded": 17656, |
|
"non_padded": 400, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"hashes": { |
|
"hash_examples": "1c654b024b54eb4b", |
|
"hash_full_prompts": "1d19e58f3e63c298", |
|
"hash_input_tokens": "a51f7ec2a37536d1", |
|
"hash_cont_tokens": "7785b2f331961e0d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7987, |
|
"padded": 31516, |
|
"non_padded": 432, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "c621eaacfa662ebc", |
|
"hash_full_prompts": "42bd44ddd1447be1", |
|
"hash_input_tokens": "e78c96148167e587", |
|
"hash_cont_tokens": "4d39a5a8c106cbc1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1637, |
|
"padded": 6388, |
|
"non_padded": 160, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"hashes": { |
|
"hash_examples": "bc14a28eaec87dc4", |
|
"hash_full_prompts": "4984a7253d3bdca4", |
|
"hash_input_tokens": "0ac31669e5f9374d", |
|
"hash_cont_tokens": "ae3f2606ef4c8870" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3503, |
|
"padded": 13664, |
|
"non_padded": 348, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"hashes": { |
|
"hash_examples": "de4989d9375885c4", |
|
"hash_full_prompts": "45bc74f14aff98af", |
|
"hash_input_tokens": "577c9f45335eab3c", |
|
"hash_cont_tokens": "5c28d31f06f032c1" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 110, |
|
"padded": 436, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"hashes": { |
|
"hash_examples": "3f84bfeec717c6de", |
|
"hash_full_prompts": "466b6f63b3521792", |
|
"hash_input_tokens": "5e12fcc8d73ba300", |
|
"hash_cont_tokens": "cf0f49982dc87860" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 245, |
|
"padded": 976, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"hashes": { |
|
"hash_examples": "10d7c2fae10bfcbc", |
|
"hash_full_prompts": "26579be0b4a8a512", |
|
"hash_input_tokens": "d0c28628f1ee1e7d", |
|
"hash_cont_tokens": "ef42dead78077738" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 201, |
|
"padded": 788, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"hashes": { |
|
"hash_examples": "bb05f02c38ddaf1a", |
|
"hash_full_prompts": "9743da5f53d0f404", |
|
"hash_input_tokens": "49a279550e120580", |
|
"hash_cont_tokens": "093d8506794b6835" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"hashes": { |
|
"hash_examples": "290915a48884ede2", |
|
"hash_full_prompts": "7071db1866c5600d", |
|
"hash_input_tokens": "2a8f33f95efae399", |
|
"hash_cont_tokens": "2b1b1b04d8943fa0" |
|
}, |
|
"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": "fb2b7edc69ea37d6", |
|
"hash_input_tokens": "74e5d28434324a71", |
|
"hash_cont_tokens": "94e5474fab6f0c97" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 171, |
|
"padded": 664, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"hashes": { |
|
"hash_examples": "5d32da36271c5eb4", |
|
"hash_full_prompts": "f31e2a9d0ee85ae0", |
|
"hash_input_tokens": "38518139133afb11", |
|
"hash_cont_tokens": "9aabf6c5c20a98f8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 60, |
|
"padded": 177, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"hashes": { |
|
"hash_examples": "0c07f1f100f2d0e8", |
|
"hash_full_prompts": "3f08a7dcc3d61a88", |
|
"hash_input_tokens": "458f74ca33fe5f10", |
|
"hash_cont_tokens": "a9c10219111fa722" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 53, |
|
"padded": 153, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "8e5fc5c4704bd96b", |
|
"hash_full_prompts": "5b7a6875304c8aa5", |
|
"hash_input_tokens": "28935898bc7b7960", |
|
"hash_cont_tokens": "9d17480b8be66b0e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 76, |
|
"padded": 219, |
|
"non_padded": 9, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"hashes": { |
|
"hash_examples": "5ad4369b7dc5de46", |
|
"hash_full_prompts": "b8f269e833e3b21c", |
|
"hash_input_tokens": "6d9b7dc4206f6697", |
|
"hash_cont_tokens": "c2435af60a8a3ec9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 69, |
|
"padded": 195, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "dc2a632e2dcc86db", |
|
"hash_full_prompts": "2a2173c61f5ada9c", |
|
"hash_input_tokens": "a70c4e607c2bade3", |
|
"hash_cont_tokens": "c69678795d83ab16" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 73, |
|
"padded": 216, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"hashes": { |
|
"hash_examples": "295e35448a39e003", |
|
"hash_full_prompts": "d3190a2691a566f5", |
|
"hash_input_tokens": "746e75f48c0257a9", |
|
"hash_cont_tokens": "efbcab1627e2e5df" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 57, |
|
"padded": 168, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"hashes": { |
|
"hash_examples": "e79ac1ea5439e623", |
|
"hash_full_prompts": "2cf15c953c2df7af", |
|
"hash_input_tokens": "d9ed57247ccb19b5", |
|
"hash_cont_tokens": "2d3ddcbabe9a8f0e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 78, |
|
"padded": 234, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"hashes": { |
|
"hash_examples": "4ac5dccbfbdc5077", |
|
"hash_full_prompts": "9f87498ae4363faa", |
|
"hash_input_tokens": "0f09f642b487f19a", |
|
"hash_cont_tokens": "59878db838346c14" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 55, |
|
"padded": 162, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"hashes": { |
|
"hash_examples": "bef69fb8b3b75f28", |
|
"hash_full_prompts": "79c61a7ea6db10e1", |
|
"hash_input_tokens": "94910103b913dbca", |
|
"hash_cont_tokens": "3052f3111aefe0bf" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2362, |
|
"non_padded": 41, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "bd066a9e6a140a4b", |
|
"hash_full_prompts": "6e9b27321ba96f60", |
|
"hash_input_tokens": "87a15d8fe056f1a9", |
|
"hash_cont_tokens": "3f57c831d5d970fc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1536, |
|
"non_padded": 52, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alrage_qa|0": { |
|
"hashes": { |
|
"hash_examples": "3edbbe22cabd4160", |
|
"hash_full_prompts": "89517a5a74eb7e6d", |
|
"hash_input_tokens": "a92dd3db56418ef9", |
|
"hash_cont_tokens": "2d4a608007e43836" |
|
}, |
|
"truncated": 2106, |
|
"non_truncated": 0, |
|
"padded": 2106, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
} |
|
}, |
|
"summary_general": { |
|
"hashes": { |
|
"hash_examples": "a700a7984c46cac8", |
|
"hash_full_prompts": "73dd12aebd48c01b", |
|
"hash_input_tokens": "a72511233b7d5cfc", |
|
"hash_cont_tokens": "eab51be66eff3c3f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 91862, |
|
"padded": 335610, |
|
"non_padded": 2316, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |