|
{ |
|
"config_general": { |
|
"lighteval_sha": "?", |
|
"num_fewshot_seeds": 1, |
|
"override_batch_size": 1, |
|
"max_samples": null, |
|
"job_id": 0, |
|
"start_time": 724.368745364, |
|
"end_time": 10451.555295954, |
|
"total_evaluation_time_secondes": "9727.18655059", |
|
"model_name": "01-ai/Yi-1.5-9B-32K", |
|
"model_sha": "c0239dbc923b8a2b5ca849763bdd592d39c60850", |
|
"model_dtype": "torch.bfloat16", |
|
"model_size": "16.45 GB" |
|
}, |
|
"results": { |
|
"community|alghafa:mcq_exams_test_ar|0": { |
|
"acc_norm": 0.2710951526032316, |
|
"acc_norm_stderr": 0.01885206374016009 |
|
}, |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"acc_norm": 0.2741427247451344, |
|
"acc_norm_stderr": 0.006073772326433624 |
|
}, |
|
"community|alghafa:meta_ar_msa|0": { |
|
"acc_norm": 0.30614525139664805, |
|
"acc_norm_stderr": 0.015414494487903208 |
|
}, |
|
"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": 0.4666666666666667, |
|
"acc_norm_stderr": 0.04087046889188089 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { |
|
"acc_norm": 0.34, |
|
"acc_norm_stderr": 0.038807734647314546 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { |
|
"acc_norm": 0.6420262664165103, |
|
"acc_norm_stderr": 0.00536191477492081 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": { |
|
"acc_norm": 0.4340283569641368, |
|
"acc_norm_stderr": 0.006401739814965827 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"acc_norm": 0.363953488372093, |
|
"acc_norm_stderr": 0.011604580414859263 |
|
}, |
|
"community|arabic_exams|0": { |
|
"acc_norm": 0.28305400372439476, |
|
"acc_norm_stderr": 0.019457878095071292 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"acc_norm": 0.3108108108108108, |
|
"acc_norm_stderr": 0.05416962838752886 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)|0": { |
|
"acc_norm": 0.380718954248366, |
|
"acc_norm_stderr": 0.019643801557924806 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.2958904109589041, |
|
"acc_norm_stderr": 0.02392406001124469 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"acc_norm": 0.2846153846153846, |
|
"acc_norm_stderr": 0.022878322799706287 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": { |
|
"acc_norm": 0.3333333333333333, |
|
"acc_norm_stderr": 0.09245003270420485 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": { |
|
"acc_norm": 0.2896825396825397, |
|
"acc_norm_stderr": 0.028631924753360995 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)|0": { |
|
"acc_norm": 0.3633782824698368, |
|
"acc_norm_stderr": 0.012817959100282852 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"acc_norm": 0.27586206896551724, |
|
"acc_norm_stderr": 0.048195602891152295 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"acc_norm": 0.2796610169491525, |
|
"acc_norm_stderr": 0.02927861266828099 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"acc_norm": 0.40229885057471265, |
|
"acc_norm_stderr": 0.030410934609937823 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"acc_norm": 0.48148148148148145, |
|
"acc_norm_stderr": 0.09799078929868857 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"acc_norm": 0.4263157894736842, |
|
"acc_norm_stderr": 0.03597255252302466 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)|0": { |
|
"acc_norm": 0.375, |
|
"acc_norm_stderr": 0.060993754559283325 |
|
}, |
|
"community|arabic_mmlu:Driving Test|0": { |
|
"acc_norm": 0.4318744838976053, |
|
"acc_norm_stderr": 0.014239942486877252 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"acc_norm": 0.3638888888888889, |
|
"acc_norm_stderr": 0.025392394921837737 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"acc_norm": 0.41379310344827586, |
|
"acc_norm_stderr": 0.0531089677299068 |
|
}, |
|
"community|arabic_mmlu:Economics (University)|0": { |
|
"acc_norm": 0.4306569343065693, |
|
"acc_norm_stderr": 0.04246032224326307 |
|
}, |
|
"community|arabic_mmlu:General Knowledge|0": { |
|
"acc_norm": 0.30092592592592593, |
|
"acc_norm_stderr": 0.015612987174740058 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"acc_norm": 0.4127906976744186, |
|
"acc_norm_stderr": 0.03764985943823199 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"acc_norm": 0.43209876543209874, |
|
"acc_norm_stderr": 0.03904046494035033 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)|0": { |
|
"acc_norm": 0.29383429672447015, |
|
"acc_norm_stderr": 0.014145398125610446 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"acc_norm": 0.4007352941176471, |
|
"acc_norm_stderr": 0.02976826352893311 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"acc_norm": 0.3157894736842105, |
|
"acc_norm_stderr": 0.06211545730021918 |
|
}, |
|
"community|arabic_mmlu:History (High School)|0": { |
|
"acc_norm": 0.24342105263157895, |
|
"acc_norm_stderr": 0.015577053313889635 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"acc_norm": 0.3448275862068966, |
|
"acc_norm_stderr": 0.03344283744280457 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)|0": { |
|
"acc_norm": 0.23529411764705882, |
|
"acc_norm_stderr": 0.04220773659171452 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies|0": { |
|
"acc_norm": 0.2347417840375587, |
|
"acc_norm_stderr": 0.016779880420754914 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": { |
|
"acc_norm": 0.38922155688622756, |
|
"acc_norm_stderr": 0.026718875499013715 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": { |
|
"acc_norm": 0.33613445378151263, |
|
"acc_norm_stderr": 0.030684737115135363 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": { |
|
"acc_norm": 0.4144144144144144, |
|
"acc_norm_stderr": 0.01559363429097814 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)|0": { |
|
"acc_norm": 0.6178343949044586, |
|
"acc_norm_stderr": 0.027465636699139834 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"acc_norm": 0.6266666666666667, |
|
"acc_norm_stderr": 0.05622776504149495 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"acc_norm": 0.39119804400978, |
|
"acc_norm_stderr": 0.024160519893034634 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": { |
|
"acc_norm": 0.3760330578512397, |
|
"acc_norm_stderr": 0.03120220476133042 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": { |
|
"acc_norm": 0.4107142857142857, |
|
"acc_norm_stderr": 0.026878835996945887 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)|0": { |
|
"acc_norm": 0.358974358974359, |
|
"acc_norm_stderr": 0.07781756136754923 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)|0": { |
|
"acc_norm": 0.24705882352941178, |
|
"acc_norm_stderr": 0.0270622467979771 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"acc_norm": 0.3476190476190476, |
|
"acc_norm_stderr": 0.03294043089165083 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": { |
|
"acc_norm": 0.36099585062240663, |
|
"acc_norm_stderr": 0.031002543340279062 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": { |
|
"acc_norm": 0.43829787234042555, |
|
"acc_norm_stderr": 0.01870042109707131 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": { |
|
"acc_norm": 0.29, |
|
"acc_norm_stderr": 0.04560480215720685 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy|0": { |
|
"acc_norm": 0.3037037037037037, |
|
"acc_norm_stderr": 0.039725528847851375 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy|0": { |
|
"acc_norm": 0.29605263157894735, |
|
"acc_norm_stderr": 0.03715062154998905 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics|0": { |
|
"acc_norm": 0.37, |
|
"acc_norm_stderr": 0.048523658709391 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": { |
|
"acc_norm": 0.3018867924528302, |
|
"acc_norm_stderr": 0.028254200344438655 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology|0": { |
|
"acc_norm": 0.2638888888888889, |
|
"acc_norm_stderr": 0.03685651095897532 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"acc_norm": 0.18, |
|
"acc_norm_stderr": 0.038612291966536955 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"acc_norm": 0.25, |
|
"acc_norm_stderr": 0.04351941398892446 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics|0": { |
|
"acc_norm": 0.29, |
|
"acc_norm_stderr": 0.045604802157206845 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"acc_norm": 0.23699421965317918, |
|
"acc_norm_stderr": 0.03242414757483098 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics|0": { |
|
"acc_norm": 0.24509803921568626, |
|
"acc_norm_stderr": 0.04280105837364396 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security|0": { |
|
"acc_norm": 0.35, |
|
"acc_norm_stderr": 0.0479372485441102 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"acc_norm": 0.30638297872340425, |
|
"acc_norm_stderr": 0.03013590647851756 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"acc_norm": 0.19298245614035087, |
|
"acc_norm_stderr": 0.037124548537213684 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"acc_norm": 0.32413793103448274, |
|
"acc_norm_stderr": 0.03900432069185553 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"acc_norm": 0.30158730158730157, |
|
"acc_norm_stderr": 0.0236369759961018 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"acc_norm": 0.2777777777777778, |
|
"acc_norm_stderr": 0.04006168083848878 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"acc_norm": 0.35, |
|
"acc_norm_stderr": 0.04793724854411019 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology|0": { |
|
"acc_norm": 0.30789404668240233, |
|
"acc_norm_stderr": 0.007476709248790885 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": { |
|
"acc_norm": 0.30776892430278885, |
|
"acc_norm_stderr": 0.007284422957054362 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"acc_norm": 0.36, |
|
"acc_norm_stderr": 0.048241815132442176 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": { |
|
"acc_norm": 0.2974730127576055, |
|
"acc_norm_stderr": 0.005063488703976587 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography|0": { |
|
"acc_norm": 0.2777777777777778, |
|
"acc_norm_stderr": 0.03191178226713547 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": { |
|
"acc_norm": 0.18134715025906736, |
|
"acc_norm_stderr": 0.02780703236068609 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": { |
|
"acc_norm": 0.3085437564856451, |
|
"acc_norm_stderr": 0.008591951388201792 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": { |
|
"acc_norm": 0.28888888888888886, |
|
"acc_norm_stderr": 0.027634907264178544 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": { |
|
"acc_norm": 0.25630252100840334, |
|
"acc_norm_stderr": 0.02835962087053395 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics|0": { |
|
"acc_norm": 0.31125827814569534, |
|
"acc_norm_stderr": 0.03780445850526733 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": { |
|
"acc_norm": 0.28256880733944956, |
|
"acc_norm_stderr": 0.019304243497707152 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": { |
|
"acc_norm": 0.3031663516068053, |
|
"acc_norm_stderr": 0.007066161232855782 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"acc_norm": 0.39215686274509803, |
|
"acc_norm_stderr": 0.03426712349247271 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": { |
|
"acc_norm": 0.38396624472573837, |
|
"acc_norm_stderr": 0.031658678064106674 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging|0": { |
|
"acc_norm": 0.3452914798206278, |
|
"acc_norm_stderr": 0.03191100192835795 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"acc_norm": 0.2824427480916031, |
|
"acc_norm_stderr": 0.03948406125768361 |
|
}, |
|
"community|arabic_mmlu_ht:international_law|0": { |
|
"acc_norm": 0.4049586776859504, |
|
"acc_norm_stderr": 0.044811377559424694 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"acc_norm": 0.3333333333333333, |
|
"acc_norm_stderr": 0.04557239513497752 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"acc_norm": 0.32515337423312884, |
|
"acc_norm_stderr": 0.0368035037128646 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"acc_norm": 0.24107142857142858, |
|
"acc_norm_stderr": 0.04059867246952686 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"acc_norm": 0.24271844660194175, |
|
"acc_norm_stderr": 0.04245022486384496 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"acc_norm": 0.4017094017094017, |
|
"acc_norm_stderr": 0.03211693751051622 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"acc_norm": 0.3, |
|
"acc_norm_stderr": 0.046056618647183814 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"acc_norm": 0.315702479338843, |
|
"acc_norm_stderr": 0.009450255390424964 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"acc_norm": 0.3179190751445087, |
|
"acc_norm_stderr": 0.025070713719153176 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"acc_norm": 0.23575418994413408, |
|
"acc_norm_stderr": 0.014196375686290804 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"acc_norm": 0.3431372549019608, |
|
"acc_norm_stderr": 0.027184498909941616 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"acc_norm": 0.2765273311897106, |
|
"acc_norm_stderr": 0.02540383297817962 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"acc_norm": 0.32098765432098764, |
|
"acc_norm_stderr": 0.02597656601086273 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"acc_norm": 0.3037217545414267, |
|
"acc_norm_stderr": 0.006845366361943427 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"acc_norm": 0.2968573932640541, |
|
"acc_norm_stderr": 0.00511247254988385 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"acc_norm": 0.2999389126450825, |
|
"acc_norm_stderr": 0.011329029972868032 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"acc_norm": 0.30545246931201825, |
|
"acc_norm_stderr": 0.007783317292169827 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"acc_norm": 0.35454545454545455, |
|
"acc_norm_stderr": 0.04582004841505416 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"acc_norm": 0.30612244897959184, |
|
"acc_norm_stderr": 0.029504896454595968 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"acc_norm": 0.31343283582089554, |
|
"acc_norm_stderr": 0.032801882053486414 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"acc_norm": 0.42, |
|
"acc_norm_stderr": 0.049604496374885836 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"acc_norm": 0.3493975903614458, |
|
"acc_norm_stderr": 0.0371172519074075 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"acc_norm": 0.2982456140350877, |
|
"acc_norm_stderr": 0.03508771929824562 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"acc_norm": 0.3480392156862745, |
|
"acc_norm_stderr": 0.019270998708223974 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"acc_norm": 0.3150684931506849, |
|
"acc_norm_stderr": 0.024348676982721328 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"acc_norm": 0.6, |
|
"acc_norm_stderr": 0.06377928041432807 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"acc_norm": 0.5471698113207547, |
|
"acc_norm_stderr": 0.06902828418342014 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"acc_norm": 0.6447368421052632, |
|
"acc_norm_stderr": 0.055263157894736854 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"acc_norm": 0.6666666666666666, |
|
"acc_norm_stderr": 0.05716619504750293 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"acc_norm": 0.5342465753424658, |
|
"acc_norm_stderr": 0.058787183514080965 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"acc_norm": 0.6491228070175439, |
|
"acc_norm_stderr": 0.06377448947368158 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"acc_norm": 0.41025641025641024, |
|
"acc_norm_stderr": 0.05605494615384831 |
|
}, |
|
"community|aratrust:Unfairness|0": { |
|
"acc_norm": 0.4727272727272727, |
|
"acc_norm_stderr": 0.06794008776080909 |
|
}, |
|
"community|alghafa:_average|0": { |
|
"acc_norm": 0.4020064341293801, |
|
"acc_norm_stderr": 0.02238489675559262 |
|
}, |
|
"community|arabic_mmlu:_average|0": { |
|
"acc_norm": 0.3667221038875291, |
|
"acc_norm_stderr": 0.035633873857883865 |
|
}, |
|
"community|arabic_mmlu_ht:_average|0": { |
|
"acc_norm": 0.3039302928399041, |
|
"acc_norm_stderr": 0.031148787328150466 |
|
}, |
|
"community|madinah_qa:_average|0": { |
|
"acc_norm": 0.33155385441847973, |
|
"acc_norm_stderr": 0.02180983784547265 |
|
}, |
|
"community|aratrust:_average|0": { |
|
"acc_norm": 0.5656157981795471, |
|
"acc_norm_stderr": 0.06147420305530099 |
|
}, |
|
"all": { |
|
"acc_norm": 0.35112869104733196, |
|
"acc_norm_stderr": 0.033821975051698205, |
|
"llm_as_judge": 0.3811016144349486, |
|
"llm_as_judge_stderr": 0.00020937227543805655 |
|
}, |
|
"community|alrage_qa|0": { |
|
"llm_as_judge": 0.3811016144349486, |
|
"llm_as_judge_stderr": 0.00020937227543805655 |
|
} |
|
}, |
|
"versions": { |
|
"community|alghafa:mcq_exams_test_ar|0": 0, |
|
"community|alghafa:meta_ar_dialects|0": 0, |
|
"community|alghafa:meta_ar_msa|0": 0, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": 0, |
|
"community|alghafa:multiple_choice_sentiment_task|0": 0, |
|
"community|arabic_exams|0": 0, |
|
"community|arabic_mmlu:Accounting (University)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (General)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Middle School)|0": 0, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": 0, |
|
"community|arabic_mmlu:Biology (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (High School)|0": 0, |
|
"community|arabic_mmlu:Civics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (High School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Computer Science (University)|0": 0, |
|
"community|arabic_mmlu:Driving Test|0": 0, |
|
"community|arabic_mmlu:Economics (High School)|0": 0, |
|
"community|arabic_mmlu:Economics (Middle School)|0": 0, |
|
"community|arabic_mmlu:Economics (University)|0": 0, |
|
"community|arabic_mmlu:General Knowledge|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": 0, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": 0, |
|
"community|arabic_mmlu:Geography (High School)|0": 0, |
|
"community|arabic_mmlu:Geography (Middle School)|0": 0, |
|
"community|arabic_mmlu:Geography (Primary School)|0": 0, |
|
"community|arabic_mmlu:History (High School)|0": 0, |
|
"community|arabic_mmlu:History (Middle School)|0": 0, |
|
"community|arabic_mmlu:History (Primary School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (High School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, |
|
"community|arabic_mmlu:Law (Professional)|0": 0, |
|
"community|arabic_mmlu:Management (University)|0": 0, |
|
"community|arabic_mmlu:Math (Primary School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Natural Science (Primary School)|0": 0, |
|
"community|arabic_mmlu:Philosophy (High School)|0": 0, |
|
"community|arabic_mmlu:Physics (High School)|0": 0, |
|
"community|arabic_mmlu:Political Science (University)|0": 0, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": 0, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": 0, |
|
"community|arabic_mmlu_ht:abstract_algebra|0": 0, |
|
"community|arabic_mmlu_ht:anatomy|0": 0, |
|
"community|arabic_mmlu_ht:astronomy|0": 0, |
|
"community|arabic_mmlu_ht:business_ethics|0": 0, |
|
"community|arabic_mmlu_ht:clinical_knowledge|0": 0, |
|
"community|arabic_mmlu_ht:college_biology|0": 0, |
|
"community|arabic_mmlu_ht:college_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:college_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:college_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:college_medicine|0": 0, |
|
"community|arabic_mmlu_ht:college_physics|0": 0, |
|
"community|arabic_mmlu_ht:computer_security|0": 0, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": 0, |
|
"community|arabic_mmlu_ht:econometrics|0": 0, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": 0, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:formal_logic|0": 0, |
|
"community|arabic_mmlu_ht:global_facts|0": 0, |
|
"community|arabic_mmlu_ht:high_school_biology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": 0, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": 0, |
|
"community|arabic_mmlu_ht:high_school_european_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_geography|0": 0, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_physics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_psychology|0": 0, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": 0, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": 0, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": 0, |
|
"community|arabic_mmlu_ht:human_aging|0": 0, |
|
"community|arabic_mmlu_ht:human_sexuality|0": 0, |
|
"community|arabic_mmlu_ht:international_law|0": 0, |
|
"community|arabic_mmlu_ht:jurisprudence|0": 0, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": 0, |
|
"community|arabic_mmlu_ht:machine_learning|0": 0, |
|
"community|arabic_mmlu_ht:management|0": 0, |
|
"community|arabic_mmlu_ht:marketing|0": 0, |
|
"community|arabic_mmlu_ht:medical_genetics|0": 0, |
|
"community|arabic_mmlu_ht:miscellaneous|0": 0, |
|
"community|arabic_mmlu_ht:moral_disputes|0": 0, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": 0, |
|
"community|arabic_mmlu_ht:nutrition|0": 0, |
|
"community|arabic_mmlu_ht:philosophy|0": 0, |
|
"community|arabic_mmlu_ht:prehistory|0": 0, |
|
"community|arabic_mmlu_ht:professional_accounting|0": 0, |
|
"community|arabic_mmlu_ht:professional_law|0": 0, |
|
"community|arabic_mmlu_ht:professional_medicine|0": 0, |
|
"community|arabic_mmlu_ht:professional_psychology|0": 0, |
|
"community|arabic_mmlu_ht:public_relations|0": 0, |
|
"community|arabic_mmlu_ht:security_studies|0": 0, |
|
"community|arabic_mmlu_ht:sociology|0": 0, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": 0, |
|
"community|arabic_mmlu_ht:virology|0": 0, |
|
"community|arabic_mmlu_ht:world_religions|0": 0, |
|
"community|aratrust:Ethics|0": 0, |
|
"community|aratrust:Illegal|0": 0, |
|
"community|aratrust:MentalHealth|0": 0, |
|
"community|aratrust:Offensive|0": 0, |
|
"community|aratrust:PhysicalHealth|0": 0, |
|
"community|aratrust:Privacy|0": 0, |
|
"community|aratrust:Trustfulness|0": 0, |
|
"community|aratrust:Unfairness|0": 0, |
|
"community|madinah_qa:Arabic Language (General)|0": 0, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": 0, |
|
"community|alrage_qa|0": 0 |
|
}, |
|
"config_tasks": { |
|
"community|alghafa:mcq_exams_test_ar": { |
|
"name": "alghafa:mcq_exams_test_ar", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "mcq_exams_test_ar", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 557, |
|
"effective_num_docs": 557, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:meta_ar_dialects": { |
|
"name": "alghafa:meta_ar_dialects", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_dialects", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5395, |
|
"effective_num_docs": 5395, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:meta_ar_msa": { |
|
"name": "alghafa:meta_ar_msa", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "meta_ar_msa", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_facts_truefalse_balanced_task": { |
|
"name": "alghafa:multiple_choice_facts_truefalse_balanced_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_facts_truefalse_balanced_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_soqal_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_soqal_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { |
|
"name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 150, |
|
"effective_num_docs": 150, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7995, |
|
"effective_num_docs": 7995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task": { |
|
"name": "alghafa:multiple_choice_rating_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_rating_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 5995, |
|
"effective_num_docs": 5995, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task": { |
|
"name": "alghafa:multiple_choice_sentiment_task", |
|
"prompt_function": "alghafa_pfn", |
|
"hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", |
|
"hf_subset": "multiple_choice_sentiment_task", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1720, |
|
"effective_num_docs": 1720, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_exams": { |
|
"name": "arabic_exams", |
|
"prompt_function": "arabic_exams_pfn", |
|
"hf_repo": "OALL/Arabic_EXAMS", |
|
"hf_subset": "default", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test", |
|
"validation" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": "validation", |
|
"few_shots_select": "sequential", |
|
"generation_size": null, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 537, |
|
"effective_num_docs": 537, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)": { |
|
"name": "arabic_mmlu:Accounting (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Accounting (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 74, |
|
"effective_num_docs": 74, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)": { |
|
"name": "arabic_mmlu:Arabic Language (General)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)": { |
|
"name": "arabic_mmlu:Arabic Language (Grammar)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)": { |
|
"name": "arabic_mmlu:Arabic Language (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 390, |
|
"effective_num_docs": 390, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Middle School)": { |
|
"name": "arabic_mmlu:Arabic Language (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)": { |
|
"name": "arabic_mmlu:Arabic Language (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Arabic Language (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 252, |
|
"effective_num_docs": 252, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Biology (High School)": { |
|
"name": "arabic_mmlu:Biology (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Biology (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1409, |
|
"effective_num_docs": 1409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)": { |
|
"name": "arabic_mmlu:Civics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)": { |
|
"name": "arabic_mmlu:Civics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Civics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 236, |
|
"effective_num_docs": 236, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)": { |
|
"name": "arabic_mmlu:Computer Science (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 261, |
|
"effective_num_docs": 261, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)": { |
|
"name": "arabic_mmlu:Computer Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 27, |
|
"effective_num_docs": 27, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)": { |
|
"name": "arabic_mmlu:Computer Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 190, |
|
"effective_num_docs": 190, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (University)": { |
|
"name": "arabic_mmlu:Computer Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Computer Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 64, |
|
"effective_num_docs": 64, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Driving Test": { |
|
"name": "arabic_mmlu:Driving Test", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Driving Test", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1211, |
|
"effective_num_docs": 1211, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)": { |
|
"name": "arabic_mmlu:Economics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 360, |
|
"effective_num_docs": 360, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)": { |
|
"name": "arabic_mmlu:Economics (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 87, |
|
"effective_num_docs": 87, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (University)": { |
|
"name": "arabic_mmlu:Economics (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Economics (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 137, |
|
"effective_num_docs": 137, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge": { |
|
"name": "arabic_mmlu:General Knowledge", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 864, |
|
"effective_num_docs": 864, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)": { |
|
"name": "arabic_mmlu:General Knowledge (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 172, |
|
"effective_num_docs": 172, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)": { |
|
"name": "arabic_mmlu:General Knowledge (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "General Knowledge (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 162, |
|
"effective_num_docs": 162, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (High School)": { |
|
"name": "arabic_mmlu:Geography (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1038, |
|
"effective_num_docs": 1038, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)": { |
|
"name": "arabic_mmlu:Geography (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 272, |
|
"effective_num_docs": 272, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)": { |
|
"name": "arabic_mmlu:Geography (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Geography (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (High School)": { |
|
"name": "arabic_mmlu:History (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 760, |
|
"effective_num_docs": 760, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)": { |
|
"name": "arabic_mmlu:History (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 203, |
|
"effective_num_docs": 203, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:History (Primary School)": { |
|
"name": "arabic_mmlu:History (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "History (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies": { |
|
"name": "arabic_mmlu:Islamic Studies", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 639, |
|
"effective_num_docs": 639, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (High School)": { |
|
"name": "arabic_mmlu:Islamic Studies (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 334, |
|
"effective_num_docs": 334, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)": { |
|
"name": "arabic_mmlu:Islamic Studies (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Islamic Studies (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 999, |
|
"effective_num_docs": 999, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Law (Professional)": { |
|
"name": "arabic_mmlu:Law (Professional)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Law (Professional)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 314, |
|
"effective_num_docs": 314, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)": { |
|
"name": "arabic_mmlu:Management (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Management (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 75, |
|
"effective_num_docs": 75, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)": { |
|
"name": "arabic_mmlu:Math (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Math (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 409, |
|
"effective_num_docs": 409, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Middle School)": { |
|
"name": "arabic_mmlu:Natural Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 242, |
|
"effective_num_docs": 242, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Natural Science (Primary School)": { |
|
"name": "arabic_mmlu:Natural Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Natural Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 336, |
|
"effective_num_docs": 336, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Philosophy (High School)": { |
|
"name": "arabic_mmlu:Philosophy (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Philosophy (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 39, |
|
"effective_num_docs": 39, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Physics (High School)": { |
|
"name": "arabic_mmlu:Physics (High School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Physics (High School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 255, |
|
"effective_num_docs": 255, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)": { |
|
"name": "arabic_mmlu:Political Science (University)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Political Science (University)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 210, |
|
"effective_num_docs": 210, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)": { |
|
"name": "arabic_mmlu:Social Science (Middle School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Middle School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 241, |
|
"effective_num_docs": 241, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)": { |
|
"name": "arabic_mmlu:Social Science (Primary School)", |
|
"prompt_function": "arabic_mmlu_pfn", |
|
"hf_repo": "MBZUAI/ArabicMMLU", |
|
"hf_subset": "Social Science (Primary School)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 705, |
|
"effective_num_docs": 705, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:abstract_algebra": { |
|
"name": "arabic_mmlu_ht:abstract_algebra", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "abstract_algebra", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:anatomy": { |
|
"name": "arabic_mmlu_ht:anatomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "anatomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 135, |
|
"effective_num_docs": 135, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:astronomy": { |
|
"name": "arabic_mmlu_ht:astronomy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "astronomy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 152, |
|
"effective_num_docs": 152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:business_ethics": { |
|
"name": "arabic_mmlu_ht:business_ethics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "business_ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:clinical_knowledge": { |
|
"name": "arabic_mmlu_ht:clinical_knowledge", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "clinical_knowledge", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 265, |
|
"effective_num_docs": 265, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_biology": { |
|
"name": "arabic_mmlu_ht:college_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 144, |
|
"effective_num_docs": 144, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry": { |
|
"name": "arabic_mmlu_ht:college_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science": { |
|
"name": "arabic_mmlu_ht:college_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics": { |
|
"name": "arabic_mmlu_ht:college_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine": { |
|
"name": "arabic_mmlu_ht:college_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 173, |
|
"effective_num_docs": 173, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_physics": { |
|
"name": "arabic_mmlu_ht:college_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "college_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 102, |
|
"effective_num_docs": 102, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:computer_security": { |
|
"name": "arabic_mmlu_ht:computer_security", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "computer_security", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics": { |
|
"name": "arabic_mmlu_ht:conceptual_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "conceptual_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 235, |
|
"effective_num_docs": 235, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics": { |
|
"name": "arabic_mmlu_ht:econometrics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "econometrics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 114, |
|
"effective_num_docs": 114, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering": { |
|
"name": "arabic_mmlu_ht:electrical_engineering", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "electrical_engineering", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 145, |
|
"effective_num_docs": 145, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics": { |
|
"name": "arabic_mmlu_ht:elementary_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "elementary_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 378, |
|
"effective_num_docs": 378, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic": { |
|
"name": "arabic_mmlu_ht:formal_logic", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "formal_logic", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 126, |
|
"effective_num_docs": 126, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts": { |
|
"name": "arabic_mmlu_ht:global_facts", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "global_facts", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology": { |
|
"name": "arabic_mmlu_ht:high_school_biology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_biology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3813, |
|
"effective_num_docs": 3813, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry": { |
|
"name": "arabic_mmlu_ht:high_school_chemistry", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_chemistry", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4016, |
|
"effective_num_docs": 4016, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science": { |
|
"name": "arabic_mmlu_ht:high_school_computer_science", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_computer_science", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_european_history": { |
|
"name": "arabic_mmlu_ht:high_school_european_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_european_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 8152, |
|
"effective_num_docs": 8152, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography": { |
|
"name": "arabic_mmlu_ht:high_school_geography", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_geography", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 198, |
|
"effective_num_docs": 198, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_government_and_politics": { |
|
"name": "arabic_mmlu_ht:high_school_government_and_politics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_government_and_politics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 193, |
|
"effective_num_docs": 193, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_macroeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_macroeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_macroeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2891, |
|
"effective_num_docs": 2891, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics": { |
|
"name": "arabic_mmlu_ht:high_school_mathematics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_mathematics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 270, |
|
"effective_num_docs": 270, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics": { |
|
"name": "arabic_mmlu_ht:high_school_microeconomics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_microeconomics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 238, |
|
"effective_num_docs": 238, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics": { |
|
"name": "arabic_mmlu_ht:high_school_physics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_physics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 151, |
|
"effective_num_docs": 151, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_psychology": { |
|
"name": "arabic_mmlu_ht:high_school_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 545, |
|
"effective_num_docs": 545, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics": { |
|
"name": "arabic_mmlu_ht:high_school_statistics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_statistics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4232, |
|
"effective_num_docs": 4232, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history": { |
|
"name": "arabic_mmlu_ht:high_school_us_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_us_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 204, |
|
"effective_num_docs": 204, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history": { |
|
"name": "arabic_mmlu_ht:high_school_world_history", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "high_school_world_history", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 237, |
|
"effective_num_docs": 237, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging": { |
|
"name": "arabic_mmlu_ht:human_aging", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_aging", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 223, |
|
"effective_num_docs": 223, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality": { |
|
"name": "arabic_mmlu_ht:human_sexuality", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "human_sexuality", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 131, |
|
"effective_num_docs": 131, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:international_law": { |
|
"name": "arabic_mmlu_ht:international_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "international_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 121, |
|
"effective_num_docs": 121, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence": { |
|
"name": "arabic_mmlu_ht:jurisprudence", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "jurisprudence", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 108, |
|
"effective_num_docs": 108, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies": { |
|
"name": "arabic_mmlu_ht:logical_fallacies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "logical_fallacies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 163, |
|
"effective_num_docs": 163, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning": { |
|
"name": "arabic_mmlu_ht:machine_learning", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "machine_learning", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 112, |
|
"effective_num_docs": 112, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management": { |
|
"name": "arabic_mmlu_ht:management", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "management", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 103, |
|
"effective_num_docs": 103, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing": { |
|
"name": "arabic_mmlu_ht:marketing", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "marketing", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 234, |
|
"effective_num_docs": 234, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics": { |
|
"name": "arabic_mmlu_ht:medical_genetics", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "medical_genetics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous": { |
|
"name": "arabic_mmlu_ht:miscellaneous", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "miscellaneous", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2420, |
|
"effective_num_docs": 2420, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes": { |
|
"name": "arabic_mmlu_ht:moral_disputes", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_disputes", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 346, |
|
"effective_num_docs": 346, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios": { |
|
"name": "arabic_mmlu_ht:moral_scenarios", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "moral_scenarios", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 895, |
|
"effective_num_docs": 895, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition": { |
|
"name": "arabic_mmlu_ht:nutrition", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "nutrition", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 306, |
|
"effective_num_docs": 306, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy": { |
|
"name": "arabic_mmlu_ht:philosophy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "philosophy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 311, |
|
"effective_num_docs": 311, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory": { |
|
"name": "arabic_mmlu_ht:prehistory", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "prehistory", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 324, |
|
"effective_num_docs": 324, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting": { |
|
"name": "arabic_mmlu_ht:professional_accounting", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_accounting", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 4514, |
|
"effective_num_docs": 4514, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law": { |
|
"name": "arabic_mmlu_ht:professional_law", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_law", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 7987, |
|
"effective_num_docs": 7987, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine": { |
|
"name": "arabic_mmlu_ht:professional_medicine", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_medicine", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 1637, |
|
"effective_num_docs": 1637, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology": { |
|
"name": "arabic_mmlu_ht:professional_psychology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "professional_psychology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 3503, |
|
"effective_num_docs": 3503, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations": { |
|
"name": "arabic_mmlu_ht:public_relations", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "public_relations", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 110, |
|
"effective_num_docs": 110, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies": { |
|
"name": "arabic_mmlu_ht:security_studies", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "security_studies", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 245, |
|
"effective_num_docs": 245, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology": { |
|
"name": "arabic_mmlu_ht:sociology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "sociology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 201, |
|
"effective_num_docs": 201, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy": { |
|
"name": "arabic_mmlu_ht:us_foreign_policy", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "us_foreign_policy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 100, |
|
"effective_num_docs": 100, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology": { |
|
"name": "arabic_mmlu_ht:virology", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "virology", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 166, |
|
"effective_num_docs": 166, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions": { |
|
"name": "arabic_mmlu_ht:world_religions", |
|
"prompt_function": "arabic_mmlu_ht_pfn", |
|
"hf_repo": "MBZUAI/human_translated_arabic_mmlu", |
|
"hf_subset": "world_religions", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 171, |
|
"effective_num_docs": 171, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Ethics": { |
|
"name": "aratrust:Ethics", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Ethics", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 60, |
|
"effective_num_docs": 60, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Illegal": { |
|
"name": "aratrust:Illegal", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Illegal", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 53, |
|
"effective_num_docs": 53, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:MentalHealth": { |
|
"name": "aratrust:MentalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "MentalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 76, |
|
"effective_num_docs": 76, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Offensive": { |
|
"name": "aratrust:Offensive", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Offensive", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 69, |
|
"effective_num_docs": 69, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth": { |
|
"name": "aratrust:PhysicalHealth", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "PhysicalHealth", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 73, |
|
"effective_num_docs": 73, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Privacy": { |
|
"name": "aratrust:Privacy", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Privacy", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 57, |
|
"effective_num_docs": 57, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Trustfulness": { |
|
"name": "aratrust:Trustfulness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Trustfulness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 78, |
|
"effective_num_docs": 78, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|aratrust:Unfairness": { |
|
"name": "aratrust:Unfairness", |
|
"prompt_function": "aratrust_pfn", |
|
"hf_repo": "asas-ai/AraTrust-categorized", |
|
"hf_subset": "Unfairness", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 55, |
|
"effective_num_docs": 55, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)": { |
|
"name": "madinah_qa:Arabic Language (General)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (General)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 612, |
|
"effective_num_docs": 612, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)": { |
|
"name": "madinah_qa:Arabic Language (Grammar)", |
|
"prompt_function": "madinah_qa_pfn", |
|
"hf_repo": "MBZUAI/MadinahQA", |
|
"hf_subset": "Arabic Language (Grammar)", |
|
"metric": [ |
|
{ |
|
"metric_name": "acc_norm", |
|
"higher_is_better": true, |
|
"category": "8", |
|
"use_case": "1", |
|
"sample_level_fn": "compute", |
|
"corpus_level_fn": "mean" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"test" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"test" |
|
], |
|
"few_shots_split": [ |
|
"dev" |
|
], |
|
"few_shots_select": "sequential", |
|
"generation_size": -1, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 365, |
|
"effective_num_docs": 365, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
}, |
|
"community|alrage_qa": { |
|
"name": "alrage_qa", |
|
"prompt_function": "qa_prompt_arabic", |
|
"hf_repo": "OALL/ALRAGE", |
|
"hf_subset": null, |
|
"metric": [ |
|
{ |
|
"metric_name": "llm_as_judge", |
|
"higher_is_better": true, |
|
"category": "7", |
|
"use_case": "10", |
|
"sample_level_fn": "_sample_level_fn", |
|
"corpus_level_fn": "aggregate_scores" |
|
} |
|
], |
|
"hf_revision": null, |
|
"hf_filter": null, |
|
"hf_avail_splits": [ |
|
"train" |
|
], |
|
"trust_dataset": true, |
|
"evaluation_splits": [ |
|
"train" |
|
], |
|
"few_shots_split": null, |
|
"few_shots_select": null, |
|
"generation_size": 200, |
|
"generation_grammar": null, |
|
"stop_sequence": [], |
|
"num_samples": null, |
|
"suite": [ |
|
"community" |
|
], |
|
"original_num_docs": 2106, |
|
"effective_num_docs": 2106, |
|
"must_remove_duplicate_docs": false, |
|
"version": 0 |
|
} |
|
}, |
|
"summary_tasks": { |
|
"community|alghafa:mcq_exams_test_ar|0": { |
|
"hashes": { |
|
"hash_examples": "c07a5e78c5c0b8fe", |
|
"hash_full_prompts": "c07a5e78c5c0b8fe", |
|
"hash_input_tokens": "d6548b4a7c851a35", |
|
"hash_cont_tokens": "d625c55cecf56c98" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 557, |
|
"padded": 2228, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:meta_ar_dialects|0": { |
|
"hashes": { |
|
"hash_examples": "c0b6081f83e14064", |
|
"hash_full_prompts": "c0b6081f83e14064", |
|
"hash_input_tokens": "e254f61d8912061d", |
|
"hash_cont_tokens": "dc457b275d6de4e2" |
|
}, |
|
"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": "64eb78a7c5b7484b", |
|
"hash_input_tokens": "4c7b635e226ef83d", |
|
"hash_cont_tokens": "046b55645def694d" |
|
}, |
|
"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": "54fc3502c1c02c06", |
|
"hash_input_tokens": "d3520cdf29411758", |
|
"hash_cont_tokens": "21a564f3caaf138d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 75, |
|
"padded": 150, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { |
|
"hashes": { |
|
"hash_examples": "46572d83696552ae", |
|
"hash_full_prompts": "46572d83696552ae", |
|
"hash_input_tokens": "9a47409d9d82d984", |
|
"hash_cont_tokens": "fb98c023b6c1db18" |
|
}, |
|
"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": "f430d97ff715bc1c", |
|
"hash_input_tokens": "3e598a4d2297d9c5", |
|
"hash_cont_tokens": "0f0bc76437c61af7" |
|
}, |
|
"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": "6b70a7416584f98c", |
|
"hash_input_tokens": "4c70042ef87f3af1", |
|
"hash_cont_tokens": "b0cc8cf11c102265" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7995, |
|
"padded": 15990, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_rating_sentiment_task|0": { |
|
"hashes": { |
|
"hash_examples": "bc2005cc9d2f436e", |
|
"hash_full_prompts": "bc2005cc9d2f436e", |
|
"hash_input_tokens": "adad0e3c7fb9e876", |
|
"hash_cont_tokens": "7c4c9000eafebe43" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 5995, |
|
"padded": 17931, |
|
"non_padded": 54, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alghafa:multiple_choice_sentiment_task|0": { |
|
"hashes": { |
|
"hash_examples": "6fb0e254ea5945d8", |
|
"hash_full_prompts": "6fb0e254ea5945d8", |
|
"hash_input_tokens": "58fbcd103213676c", |
|
"hash_cont_tokens": "02aed8bf71d25cfb" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1720, |
|
"padded": 5129, |
|
"non_padded": 31, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_exams|0": { |
|
"hashes": { |
|
"hash_examples": "6d721df351722656", |
|
"hash_full_prompts": "6d721df351722656", |
|
"hash_input_tokens": "6d7f049c297b83e0", |
|
"hash_cont_tokens": "75d35d1d02a02179" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 537, |
|
"padded": 2142, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Accounting (University)|0": { |
|
"hashes": { |
|
"hash_examples": "30e09697562ff9e7", |
|
"hash_full_prompts": "30e09697562ff9e7", |
|
"hash_input_tokens": "abf305aa812a4c1d", |
|
"hash_cont_tokens": "2b0e025b6779fb4c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 74, |
|
"padded": 252, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (General)|0": { |
|
"hashes": { |
|
"hash_examples": "bef69fb8b3b75f28", |
|
"hash_full_prompts": "bef69fb8b3b75f28", |
|
"hash_input_tokens": "bcd64198ddef52e3", |
|
"hash_cont_tokens": "f9a66a4bb5e87f60" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2392, |
|
"non_padded": 11, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "bd066a9e6a140a4b", |
|
"hash_full_prompts": "bd066a9e6a140a4b", |
|
"hash_input_tokens": "ea6bb1f8bb061855", |
|
"hash_cont_tokens": "76367e3409abf9b5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1587, |
|
"non_padded": 1, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "a9c2cd9a9929292a", |
|
"hash_full_prompts": "a9c2cd9a9929292a", |
|
"hash_input_tokens": "ed44e370d4da2530", |
|
"hash_cont_tokens": "a7be93d10fbe0e2a" |
|
}, |
|
"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": "2f8a77bbbd0e21ff", |
|
"hash_input_tokens": "858df648f4891472", |
|
"hash_cont_tokens": "33bdfa5938c88401" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 27, |
|
"padded": 105, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Arabic Language (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "5eed3da47822539b", |
|
"hash_full_prompts": "5eed3da47822539b", |
|
"hash_input_tokens": "6903374ce32c0ab8", |
|
"hash_cont_tokens": "9d36a8633cd9671b" |
|
}, |
|
"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": "91ae6d22a0f0213d", |
|
"hash_input_tokens": "e57d90f393a35d4a", |
|
"hash_cont_tokens": "5b06cfd5d307d9b0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1409, |
|
"padded": 5042, |
|
"non_padded": 14, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "f27bf8791bea2bb9", |
|
"hash_full_prompts": "f27bf8791bea2bb9", |
|
"hash_input_tokens": "7c5d45cf83d5d7b5", |
|
"hash_cont_tokens": "de32e8cbc3ca66d5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 87, |
|
"padded": 312, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Civics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "74f5bb0098c8916f", |
|
"hash_full_prompts": "74f5bb0098c8916f", |
|
"hash_input_tokens": "28b4c0b430767149", |
|
"hash_cont_tokens": "298ae202709c2f3d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 236, |
|
"padded": 932, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "a4278d7b525d46fe", |
|
"hash_full_prompts": "a4278d7b525d46fe", |
|
"hash_input_tokens": "5a3849fda2f20600", |
|
"hash_cont_tokens": "689af2e3820c8afb" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 261, |
|
"padded": 1002, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "0cb6c07e4b80dfd4", |
|
"hash_full_prompts": "0cb6c07e4b80dfd4", |
|
"hash_input_tokens": "2b3c65a2fbcb3b53", |
|
"hash_cont_tokens": "58b95f214c913d48" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 27, |
|
"padded": 98, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Computer Science (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "d96fc1bc32473533", |
|
"hash_full_prompts": "d96fc1bc32473533", |
|
"hash_input_tokens": "0bc0b084900a6307", |
|
"hash_cont_tokens": "cbccf4a349087187" |
|
}, |
|
"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": "8835587e436cbaff", |
|
"hash_input_tokens": "13b7ba40fb33e8ae", |
|
"hash_cont_tokens": "e913f7a58c94d730" |
|
}, |
|
"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": "7a4c38a2c451d075", |
|
"hash_input_tokens": "5cc6f500ee06e564", |
|
"hash_cont_tokens": "61a40ef750fc7b6b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1211, |
|
"padded": 3668, |
|
"non_padded": 17, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (High School)|0": { |
|
"hashes": { |
|
"hash_examples": "c04c252836601279", |
|
"hash_full_prompts": "c04c252836601279", |
|
"hash_input_tokens": "b97d6b9c521fa361", |
|
"hash_cont_tokens": "3721d7ae12a76614" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 360, |
|
"padded": 1384, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Economics (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "18fba1579406b3cc", |
|
"hash_full_prompts": "18fba1579406b3cc", |
|
"hash_input_tokens": "cf4f707993f56a37", |
|
"hash_cont_tokens": "0f548718b7f61c44" |
|
}, |
|
"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": "7c9e86fba8151562", |
|
"hash_input_tokens": "6cec9f091f3cb1c7", |
|
"hash_cont_tokens": "a0e7b3fe97f81348" |
|
}, |
|
"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": "acfbe4e1f0314b85", |
|
"hash_input_tokens": "5a881107120551ef", |
|
"hash_cont_tokens": "13d69c3fb549ac82" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 864, |
|
"padded": 3211, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "03cd0ecf10224316", |
|
"hash_full_prompts": "03cd0ecf10224316", |
|
"hash_input_tokens": "aec6070a1040fa32", |
|
"hash_cont_tokens": "132f0e630750afd8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 172, |
|
"padded": 625, |
|
"non_padded": 3, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:General Knowledge (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "c3ee30196e05e122", |
|
"hash_full_prompts": "c3ee30196e05e122", |
|
"hash_input_tokens": "382f78c94fcab138", |
|
"hash_cont_tokens": "557a9d1dc4fb4909" |
|
}, |
|
"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": "e2e329d2bdd9fb7b", |
|
"hash_input_tokens": "e423e2cd1258ca0f", |
|
"hash_cont_tokens": "47c77d05ce490413" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1038, |
|
"padded": 4108, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "420b161444291989", |
|
"hash_full_prompts": "420b161444291989", |
|
"hash_input_tokens": "513eccad5fb8947d", |
|
"hash_cont_tokens": "598dc2b72368309b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 272, |
|
"padded": 971, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Geography (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "5bc5ca48a4210899", |
|
"hash_full_prompts": "5bc5ca48a4210899", |
|
"hash_input_tokens": "28a35a38b56adbe0", |
|
"hash_cont_tokens": "60d29e4ad5ff6b61" |
|
}, |
|
"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": "c7cc37f29311bea1", |
|
"hash_input_tokens": "a3468f3b69848188", |
|
"hash_cont_tokens": "060483bd2b6ebc61" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 760, |
|
"padded": 2950, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:History (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "5b9f1973337153a2", |
|
"hash_full_prompts": "5b9f1973337153a2", |
|
"hash_input_tokens": "47bbedf2104577e9", |
|
"hash_cont_tokens": "fa56ea2258df19bf" |
|
}, |
|
"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": "af2469847007c1fe", |
|
"hash_input_tokens": "5033431d1bc40372", |
|
"hash_cont_tokens": "3099e68f028e9ac6" |
|
}, |
|
"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": "c8da9b2f16a5ea0f", |
|
"hash_input_tokens": "f3393a9d071bddb4", |
|
"hash_cont_tokens": "910861117ccadc70" |
|
}, |
|
"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": "efb11bc8ef398117", |
|
"hash_input_tokens": "ebdc04be939e7275", |
|
"hash_cont_tokens": "5054706a254d5c16" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 334, |
|
"padded": 1283, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "9e33ab030eebdb99", |
|
"hash_full_prompts": "9e33ab030eebdb99", |
|
"hash_input_tokens": "2cb4d928382454e4", |
|
"hash_cont_tokens": "ded68b7a099be0a2" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 881, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Islamic Studies (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "4167565d878b20eb", |
|
"hash_full_prompts": "4167565d878b20eb", |
|
"hash_input_tokens": "899a9fa43abc5d8a", |
|
"hash_cont_tokens": "9aba9601e5bf7a66" |
|
}, |
|
"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": "e77f52c8fe4352b3", |
|
"hash_input_tokens": "8d0f4f663e9d5a64", |
|
"hash_cont_tokens": "cfe47a0e6d9d6156" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 314, |
|
"padded": 1228, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Management (University)|0": { |
|
"hashes": { |
|
"hash_examples": "09682649b04b7327", |
|
"hash_full_prompts": "09682649b04b7327", |
|
"hash_input_tokens": "68772de37604bb12", |
|
"hash_cont_tokens": "6e22e1727a1d5847" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 75, |
|
"padded": 199, |
|
"non_padded": 1, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Math (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "edb027bfae7e76f1", |
|
"hash_full_prompts": "edb027bfae7e76f1", |
|
"hash_input_tokens": "944c8e8ba112955c", |
|
"hash_cont_tokens": "310dd4db68eb4dfe" |
|
}, |
|
"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": "96e72c9094c2364c", |
|
"hash_input_tokens": "8f651e0cf9893fd5", |
|
"hash_cont_tokens": "d6834ccf59725c90" |
|
}, |
|
"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": "69e35bad3dec5a4d", |
|
"hash_input_tokens": "052410bfc13432b0", |
|
"hash_cont_tokens": "51aa16edfc672fec" |
|
}, |
|
"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": "dc6ebd484a02fca5", |
|
"hash_input_tokens": "4db12a50850d6e5a", |
|
"hash_cont_tokens": "1c136d81e729c297" |
|
}, |
|
"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": "58a1722472c9e644", |
|
"hash_input_tokens": "4055a565590354ad", |
|
"hash_cont_tokens": "7ad2cafad76ab184" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 255, |
|
"padded": 1016, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Political Science (University)|0": { |
|
"hashes": { |
|
"hash_examples": "07a4ed6aabbdfd1e", |
|
"hash_full_prompts": "07a4ed6aabbdfd1e", |
|
"hash_input_tokens": "3d9cd8b6b3208c7b", |
|
"hash_cont_tokens": "481dc76026218e77" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 210, |
|
"padded": 708, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Middle School)|0": { |
|
"hashes": { |
|
"hash_examples": "8ca955902f304664", |
|
"hash_full_prompts": "8ca955902f304664", |
|
"hash_input_tokens": "dffc51235c6cd893", |
|
"hash_cont_tokens": "9fcc3360d79f2477" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 241, |
|
"padded": 925, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu:Social Science (Primary School)|0": { |
|
"hashes": { |
|
"hash_examples": "934025ab3738123c", |
|
"hash_full_prompts": "934025ab3738123c", |
|
"hash_input_tokens": "fb81966b1c9eff7f", |
|
"hash_cont_tokens": "c51a80917e14dcce" |
|
}, |
|
"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": "0b557911f2f6d919", |
|
"hash_input_tokens": "1ba979d8b77d005a", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"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": "a552d8a0ef294061", |
|
"hash_input_tokens": "b42349a5b5b5e18a", |
|
"hash_cont_tokens": "abfaf04e7aa2511f" |
|
}, |
|
"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": "c4a372d0af7da098", |
|
"hash_input_tokens": "862317a38b7849ee", |
|
"hash_cont_tokens": "4920d1e0af5e6ef4" |
|
}, |
|
"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": "9f71d816abf8af7a", |
|
"hash_input_tokens": "a5e7e0e6cffd7299", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"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": "38303cd765589ef3", |
|
"hash_input_tokens": "2e13fb0964326e66", |
|
"hash_cont_tokens": "c43dfc0ffb59cd23" |
|
}, |
|
"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": "dbd9b5d318e60b04", |
|
"hash_input_tokens": "05ef90407bda2ec9", |
|
"hash_cont_tokens": "d8f8963b370bcd35" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 144, |
|
"padded": 575, |
|
"non_padded": 1, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_chemistry|0": { |
|
"hashes": { |
|
"hash_examples": "6f88491d03db8a4c", |
|
"hash_full_prompts": "6f88491d03db8a4c", |
|
"hash_input_tokens": "fe126d6ea24c08f7", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 396, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_computer_science|0": { |
|
"hashes": { |
|
"hash_examples": "ebfdee5ef2ed5e17", |
|
"hash_full_prompts": "ebfdee5ef2ed5e17", |
|
"hash_input_tokens": "8a79cda1b2cf3390", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_mathematics|0": { |
|
"hashes": { |
|
"hash_examples": "e3f22cd7712aae2f", |
|
"hash_full_prompts": "e3f22cd7712aae2f", |
|
"hash_input_tokens": "7d83e57016dd895d", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 392, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:college_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "51a5501373afb5a7", |
|
"hash_full_prompts": "51a5501373afb5a7", |
|
"hash_input_tokens": "0a33ac3be7244d4d", |
|
"hash_cont_tokens": "83384884631d6dd9" |
|
}, |
|
"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": "2d3e015989b108db", |
|
"hash_input_tokens": "395be953729b1e30", |
|
"hash_cont_tokens": "6dad5081e53f5083" |
|
}, |
|
"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": "f8810eddc38dfee4", |
|
"hash_input_tokens": "3840591b06e802e6", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 396, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:conceptual_physics|0": { |
|
"hashes": { |
|
"hash_examples": "211e32cc43c6b1dc", |
|
"hash_full_prompts": "211e32cc43c6b1dc", |
|
"hash_input_tokens": "baac93c3dc08663c", |
|
"hash_cont_tokens": "057b39462afe1874" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 235, |
|
"padded": 924, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:econometrics|0": { |
|
"hashes": { |
|
"hash_examples": "810023786b2484d2", |
|
"hash_full_prompts": "810023786b2484d2", |
|
"hash_input_tokens": "963a949cdfd757d6", |
|
"hash_cont_tokens": "f924281788311128" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 114, |
|
"padded": 452, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:electrical_engineering|0": { |
|
"hashes": { |
|
"hash_examples": "a222760c93eaa1ee", |
|
"hash_full_prompts": "a222760c93eaa1ee", |
|
"hash_input_tokens": "019a3be505112362", |
|
"hash_cont_tokens": "89164436bd468428" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 145, |
|
"padded": 572, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:elementary_mathematics|0": { |
|
"hashes": { |
|
"hash_examples": "4c069aeee64dc227", |
|
"hash_full_prompts": "4c069aeee64dc227", |
|
"hash_input_tokens": "3e4063aec78e0729", |
|
"hash_cont_tokens": "bafa6b6e4aaa947f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 378, |
|
"padded": 1508, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:formal_logic|0": { |
|
"hashes": { |
|
"hash_examples": "3cb0ccbf8e8a77ae", |
|
"hash_full_prompts": "3cb0ccbf8e8a77ae", |
|
"hash_input_tokens": "3d923dac33e57d7b", |
|
"hash_cont_tokens": "90a6c627b7a60fb9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 126, |
|
"padded": 492, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:global_facts|0": { |
|
"hashes": { |
|
"hash_examples": "c1d039e64ea321b9", |
|
"hash_full_prompts": "c1d039e64ea321b9", |
|
"hash_input_tokens": "90c5980b044b5b5b", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_biology|0": { |
|
"hashes": { |
|
"hash_examples": "ddcb8237bb4ba08a", |
|
"hash_full_prompts": "ddcb8237bb4ba08a", |
|
"hash_input_tokens": "53e73701d322a531", |
|
"hash_cont_tokens": "0f931d3b18119c9b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3813, |
|
"padded": 15124, |
|
"non_padded": 128, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_chemistry|0": { |
|
"hashes": { |
|
"hash_examples": "07061b55c5c436d9", |
|
"hash_full_prompts": "07061b55c5c436d9", |
|
"hash_input_tokens": "c6e533d7f865f84e", |
|
"hash_cont_tokens": "2a9e0a5cd8023f63" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4016, |
|
"padded": 15936, |
|
"non_padded": 128, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_computer_science|0": { |
|
"hashes": { |
|
"hash_examples": "8d3405483d5fdcff", |
|
"hash_full_prompts": "8d3405483d5fdcff", |
|
"hash_input_tokens": "918a22135265ac4c", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"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": "031c49a430356414", |
|
"hash_input_tokens": "70650e51488d9e31", |
|
"hash_cont_tokens": "8c1001a9f1180f81" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 8152, |
|
"padded": 32480, |
|
"non_padded": 128, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_geography|0": { |
|
"hashes": { |
|
"hash_examples": "d0ce2b019a66c1de", |
|
"hash_full_prompts": "d0ce2b019a66c1de", |
|
"hash_input_tokens": "13f707a9ff7d3962", |
|
"hash_cont_tokens": "40987b9a15077588" |
|
}, |
|
"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": "7d7c6d476d0576b1", |
|
"hash_input_tokens": "699224d8ff74409a", |
|
"hash_cont_tokens": "abd3954a25cf50e0" |
|
}, |
|
"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": "694d3a01c6144ddb", |
|
"hash_input_tokens": "ba5dcce4a739643f", |
|
"hash_cont_tokens": "877962c42c2d28f7" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2891, |
|
"padded": 11460, |
|
"non_padded": 104, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_mathematics|0": { |
|
"hashes": { |
|
"hash_examples": "004f9c0a40b5ec10", |
|
"hash_full_prompts": "004f9c0a40b5ec10", |
|
"hash_input_tokens": "7f359e0811510079", |
|
"hash_cont_tokens": "6dc421c74736dd98" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 270, |
|
"padded": 1064, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_microeconomics|0": { |
|
"hashes": { |
|
"hash_examples": "80cf03d462e6ccbc", |
|
"hash_full_prompts": "80cf03d462e6ccbc", |
|
"hash_input_tokens": "0d6d4289a2da1c7d", |
|
"hash_cont_tokens": "e17c7cdf474c021a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 238, |
|
"padded": 948, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_physics|0": { |
|
"hashes": { |
|
"hash_examples": "92218def5b383845", |
|
"hash_full_prompts": "92218def5b383845", |
|
"hash_input_tokens": "9eae45fc83bca998", |
|
"hash_cont_tokens": "bd5bbac3e9c80551" |
|
}, |
|
"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": "323f7848fee32e58", |
|
"hash_input_tokens": "e9deb306306a1d4c", |
|
"hash_cont_tokens": "c2513d13f286755a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 545, |
|
"padded": 2164, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_statistics|0": { |
|
"hashes": { |
|
"hash_examples": "d7bbe0d037cf31ec", |
|
"hash_full_prompts": "d7bbe0d037cf31ec", |
|
"hash_input_tokens": "fc0e957febca3f6f", |
|
"hash_cont_tokens": "8cd3e5c775f58aa4" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4232, |
|
"padded": 16800, |
|
"non_padded": 128, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_us_history|0": { |
|
"hashes": { |
|
"hash_examples": "722ec9207e3b0e04", |
|
"hash_full_prompts": "722ec9207e3b0e04", |
|
"hash_input_tokens": "f06126d770771fed", |
|
"hash_cont_tokens": "03a9abf054e5b64e" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 204, |
|
"padded": 816, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:high_school_world_history|0": { |
|
"hashes": { |
|
"hash_examples": "b5eb675d3b578584", |
|
"hash_full_prompts": "b5eb675d3b578584", |
|
"hash_input_tokens": "82d601202225351a", |
|
"hash_cont_tokens": "be7786343f79da97" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 237, |
|
"padded": 948, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_aging|0": { |
|
"hashes": { |
|
"hash_examples": "713ac79cd2dd2d7b", |
|
"hash_full_prompts": "713ac79cd2dd2d7b", |
|
"hash_input_tokens": "f5808dad45468fea", |
|
"hash_cont_tokens": "be35bcd9b60c1ef2" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 223, |
|
"padded": 880, |
|
"non_padded": 12, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:human_sexuality|0": { |
|
"hashes": { |
|
"hash_examples": "47551ab4e5dcf6c5", |
|
"hash_full_prompts": "47551ab4e5dcf6c5", |
|
"hash_input_tokens": "d9570015a792fc10", |
|
"hash_cont_tokens": "3d0ee3120bbd6f7f" |
|
}, |
|
"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": "da360336943398d5", |
|
"hash_input_tokens": "eb66670cc7d39676", |
|
"hash_cont_tokens": "c001304b33ffbde0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 121, |
|
"padded": 484, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:jurisprudence|0": { |
|
"hashes": { |
|
"hash_examples": "661d161a486fb035", |
|
"hash_full_prompts": "661d161a486fb035", |
|
"hash_input_tokens": "15282aa1e1ef8270", |
|
"hash_cont_tokens": "5c157835f220622a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 108, |
|
"padded": 432, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:logical_fallacies|0": { |
|
"hashes": { |
|
"hash_examples": "5c3926384758bda7", |
|
"hash_full_prompts": "5c3926384758bda7", |
|
"hash_input_tokens": "410619118d813c80", |
|
"hash_cont_tokens": "4e97d2bbf3d4e63c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 163, |
|
"padded": 648, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:machine_learning|0": { |
|
"hashes": { |
|
"hash_examples": "3ce756e6a22ffc48", |
|
"hash_full_prompts": "3ce756e6a22ffc48", |
|
"hash_input_tokens": "de6c027f1b16d566", |
|
"hash_cont_tokens": "8086943613b59efd" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 112, |
|
"padded": 448, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:management|0": { |
|
"hashes": { |
|
"hash_examples": "20fe769bb3276832", |
|
"hash_full_prompts": "20fe769bb3276832", |
|
"hash_input_tokens": "a59a152ba8d63d97", |
|
"hash_cont_tokens": "684b6a5c5c575918" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 103, |
|
"padded": 396, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:marketing|0": { |
|
"hashes": { |
|
"hash_examples": "6b19449559d987ce", |
|
"hash_full_prompts": "6b19449559d987ce", |
|
"hash_input_tokens": "a3a004c932f5ac44", |
|
"hash_cont_tokens": "ea8538b2312de1e5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 234, |
|
"padded": 920, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:medical_genetics|0": { |
|
"hashes": { |
|
"hash_examples": "cbb0fa9df0f5435a", |
|
"hash_full_prompts": "cbb0fa9df0f5435a", |
|
"hash_input_tokens": "6bc9456980d403dc", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 400, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:miscellaneous|0": { |
|
"hashes": { |
|
"hash_examples": "0a4134046c23cff9", |
|
"hash_full_prompts": "0a4134046c23cff9", |
|
"hash_input_tokens": "f46b073a5a56dd8a", |
|
"hash_cont_tokens": "1f3a2b000fa9df43" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2420, |
|
"padded": 9592, |
|
"non_padded": 88, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_disputes|0": { |
|
"hashes": { |
|
"hash_examples": "1ac8a0967c82caa0", |
|
"hash_full_prompts": "1ac8a0967c82caa0", |
|
"hash_input_tokens": "33fb987054bfe447", |
|
"hash_cont_tokens": "520d6fa58d9a8c3f" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 346, |
|
"padded": 1380, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:moral_scenarios|0": { |
|
"hashes": { |
|
"hash_examples": "2c0670188bc5a789", |
|
"hash_full_prompts": "2c0670188bc5a789", |
|
"hash_input_tokens": "1167bba8a19a47bf", |
|
"hash_cont_tokens": "33a54888b60c4a0b" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 895, |
|
"padded": 3564, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:nutrition|0": { |
|
"hashes": { |
|
"hash_examples": "658628c0dcdfe201", |
|
"hash_full_prompts": "658628c0dcdfe201", |
|
"hash_input_tokens": "40f5c8be474a3fb3", |
|
"hash_cont_tokens": "9a6bf2b6017bac11" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 306, |
|
"padded": 1216, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:philosophy|0": { |
|
"hashes": { |
|
"hash_examples": "8b6707b322affafd", |
|
"hash_full_prompts": "8b6707b322affafd", |
|
"hash_input_tokens": "d97ad3ed58e26120", |
|
"hash_cont_tokens": "221efa8cc1f02170" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 311, |
|
"padded": 1228, |
|
"non_padded": 16, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:prehistory|0": { |
|
"hashes": { |
|
"hash_examples": "0c85ffcdc9a7b367", |
|
"hash_full_prompts": "0c85ffcdc9a7b367", |
|
"hash_input_tokens": "87aef15398b12d50", |
|
"hash_cont_tokens": "675569cb6497ea24" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 324, |
|
"padded": 1276, |
|
"non_padded": 20, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_accounting|0": { |
|
"hashes": { |
|
"hash_examples": "cce1ea2d5f544b2f", |
|
"hash_full_prompts": "cce1ea2d5f544b2f", |
|
"hash_input_tokens": "135317f1efe7d465", |
|
"hash_cont_tokens": "81ab462dd8230d3a" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 4514, |
|
"padded": 17912, |
|
"non_padded": 144, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_law|0": { |
|
"hashes": { |
|
"hash_examples": "1c654b024b54eb4b", |
|
"hash_full_prompts": "1c654b024b54eb4b", |
|
"hash_input_tokens": "5d637fa2b80bd9ba", |
|
"hash_cont_tokens": "a4d4c9014fefacc9" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 7987, |
|
"padded": 31796, |
|
"non_padded": 152, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_medicine|0": { |
|
"hashes": { |
|
"hash_examples": "c621eaacfa662ebc", |
|
"hash_full_prompts": "c621eaacfa662ebc", |
|
"hash_input_tokens": "641f8e44e07db4e0", |
|
"hash_cont_tokens": "ffe3affaaf945eff" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 1637, |
|
"padded": 6492, |
|
"non_padded": 56, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:professional_psychology|0": { |
|
"hashes": { |
|
"hash_examples": "bc14a28eaec87dc4", |
|
"hash_full_prompts": "bc14a28eaec87dc4", |
|
"hash_input_tokens": "424d0fb9494f999f", |
|
"hash_cont_tokens": "712188a3b4128833" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 3503, |
|
"padded": 13880, |
|
"non_padded": 132, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:public_relations|0": { |
|
"hashes": { |
|
"hash_examples": "de4989d9375885c4", |
|
"hash_full_prompts": "de4989d9375885c4", |
|
"hash_input_tokens": "f8e3e5702a69f202", |
|
"hash_cont_tokens": "24491b805f15ed2c" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 110, |
|
"padded": 440, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:security_studies|0": { |
|
"hashes": { |
|
"hash_examples": "3f84bfeec717c6de", |
|
"hash_full_prompts": "3f84bfeec717c6de", |
|
"hash_input_tokens": "22ec41b478bc9d85", |
|
"hash_cont_tokens": "a1479f52659d7dfb" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 245, |
|
"padded": 980, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:sociology|0": { |
|
"hashes": { |
|
"hash_examples": "10d7c2fae10bfcbc", |
|
"hash_full_prompts": "10d7c2fae10bfcbc", |
|
"hash_input_tokens": "941c36aef18bfbfa", |
|
"hash_cont_tokens": "b006eb67a1d927dc" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 201, |
|
"padded": 800, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:us_foreign_policy|0": { |
|
"hashes": { |
|
"hash_examples": "bb05f02c38ddaf1a", |
|
"hash_full_prompts": "bb05f02c38ddaf1a", |
|
"hash_input_tokens": "84bcdf70968ca66a", |
|
"hash_cont_tokens": "844bed714c379a88" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 100, |
|
"padded": 396, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:virology|0": { |
|
"hashes": { |
|
"hash_examples": "290915a48884ede2", |
|
"hash_full_prompts": "290915a48884ede2", |
|
"hash_input_tokens": "7bd2fa5cdd3a6bf7", |
|
"hash_cont_tokens": "56a704f3ce3acdf5" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 166, |
|
"padded": 660, |
|
"non_padded": 4, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|arabic_mmlu_ht:world_religions|0": { |
|
"hashes": { |
|
"hash_examples": "91cc5451c7284f75", |
|
"hash_full_prompts": "91cc5451c7284f75", |
|
"hash_input_tokens": "8fa730bc0fa1a89c", |
|
"hash_cont_tokens": "66439283772b1e5d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 171, |
|
"padded": 676, |
|
"non_padded": 8, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (General)|0": { |
|
"hashes": { |
|
"hash_examples": "25bf94d05f737b63", |
|
"hash_full_prompts": "25bf94d05f737b63", |
|
"hash_input_tokens": "a68197303b351d81", |
|
"hash_cont_tokens": "4e1d4bb70ac621cf" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 612, |
|
"padded": 2392, |
|
"non_padded": 11, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|madinah_qa:Arabic Language (Grammar)|0": { |
|
"hashes": { |
|
"hash_examples": "e65fe4df843f4380", |
|
"hash_full_prompts": "e65fe4df843f4380", |
|
"hash_input_tokens": "2d25ae4e6c2dd4ca", |
|
"hash_cont_tokens": "bd2eee43ab8f0f14" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 365, |
|
"padded": 1582, |
|
"non_padded": 6, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Ethics|0": { |
|
"hashes": { |
|
"hash_examples": "5d32da36271c5eb4", |
|
"hash_full_prompts": "5d32da36271c5eb4", |
|
"hash_input_tokens": "f1b82e1d0e7696c1", |
|
"hash_cont_tokens": "6c94212c04e1f590" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 60, |
|
"padded": 180, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Illegal|0": { |
|
"hashes": { |
|
"hash_examples": "0c07f1f100f2d0e8", |
|
"hash_full_prompts": "0c07f1f100f2d0e8", |
|
"hash_input_tokens": "9367f65e09bfd0a0", |
|
"hash_cont_tokens": "59e84b1c69960d17" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 53, |
|
"padded": 159, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:MentalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "8e5fc5c4704bd96b", |
|
"hash_full_prompts": "8e5fc5c4704bd96b", |
|
"hash_input_tokens": "ff0bc98efb2f2eac", |
|
"hash_cont_tokens": "4ad557898e67dca0" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 76, |
|
"padded": 227, |
|
"non_padded": 1, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Offensive|0": { |
|
"hashes": { |
|
"hash_examples": "5ad4369b7dc5de46", |
|
"hash_full_prompts": "5ad4369b7dc5de46", |
|
"hash_input_tokens": "59c49abbfaeeb42a", |
|
"hash_cont_tokens": "692d897812830b96" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 69, |
|
"padded": 207, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:PhysicalHealth|0": { |
|
"hashes": { |
|
"hash_examples": "dc2a632e2dcc86db", |
|
"hash_full_prompts": "dc2a632e2dcc86db", |
|
"hash_input_tokens": "6b19f8fc20a92d25", |
|
"hash_cont_tokens": "ba508bee3726eeb8" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 73, |
|
"padded": 218, |
|
"non_padded": 1, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Privacy|0": { |
|
"hashes": { |
|
"hash_examples": "295e35448a39e003", |
|
"hash_full_prompts": "295e35448a39e003", |
|
"hash_input_tokens": "022f3cadf8907c63", |
|
"hash_cont_tokens": "43238c29b2463525" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 57, |
|
"padded": 169, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|aratrust:Trustfulness|0": { |
|
"hashes": { |
|
"hash_examples": "e79ac1ea5439e623", |
|
"hash_full_prompts": "e79ac1ea5439e623", |
|
"hash_input_tokens": "f58a2ce69927023e", |
|
"hash_cont_tokens": "e75c30f548a8eee8" |
|
}, |
|
"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": "4ac5dccbfbdc5077", |
|
"hash_input_tokens": "39c748894e71b4db", |
|
"hash_cont_tokens": "bbcef6d351ec5b82" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 55, |
|
"padded": 163, |
|
"non_padded": 2, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
}, |
|
"community|alrage_qa|0": { |
|
"hashes": { |
|
"hash_examples": "3edbbe22cabd4160", |
|
"hash_full_prompts": "3edbbe22cabd4160", |
|
"hash_input_tokens": "8d2fa97cc93f5609", |
|
"hash_cont_tokens": "78c617bd7402b16d" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 2106, |
|
"padded": 2106, |
|
"non_padded": 0, |
|
"effective_few_shots": 0.0, |
|
"num_truncated_few_shots": 0 |
|
} |
|
}, |
|
"summary_general": { |
|
"hashes": { |
|
"hash_examples": "b8b3b49631adcc40", |
|
"hash_full_prompts": "b8b3b49631adcc40", |
|
"hash_input_tokens": "aefdc4f42ba479a3", |
|
"hash_cont_tokens": "1d72c5bca7ea7975" |
|
}, |
|
"truncated": 0, |
|
"non_truncated": 91862, |
|
"padded": 335206, |
|
"non_padded": 1678, |
|
"num_truncated_few_shots": 0 |
|
} |
|
} |