| { | |
| "config_general": { | |
| "lighteval_sha": "?", | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": 0, | |
| "start_time": 698.088120888, | |
| "end_time": 9335.30358422, | |
| "total_evaluation_time_secondes": "8637.215463332", | |
| "model_name": "v000000/Qwen2.5-Lumen-14B", | |
| "model_sha": "a02b06be37b8eab9436a7653b4df9baf1660e417", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "27.51 GB" | |
| }, | |
| "results": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "acc_norm": 0.38061041292639136, | |
| "acc_norm_stderr": 0.02059135315217045 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "acc_norm": 0.38480074142724746, | |
| "acc_norm_stderr": 0.006624763528625984 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "acc_norm": 0.4100558659217877, | |
| "acc_norm_stderr": 0.016449708209026078 | |
| }, | |
| "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": 0.5866666666666667, | |
| "acc_norm_stderr": 0.040341569222180455 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "acc_norm": 0.46, | |
| "acc_norm_stderr": 0.040830308521485996 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "acc_norm": 0.8222639149468418, | |
| "acc_norm_stderr": 0.004275740591827227 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "acc_norm": 0.566138448707256, | |
| "acc_norm_stderr": 0.006401452663000131 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "acc_norm": 0.4174418604651163, | |
| "acc_norm_stderr": 0.011894048296224074 | |
| }, | |
| "community|arabic_exams|0": { | |
| "acc_norm": 0.5381750465549349, | |
| "acc_norm_stderr": 0.021533671386842226 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "acc_norm": 0.5135135135135135, | |
| "acc_norm_stderr": 0.0584991962188687 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "acc_norm": 0.44281045751633985, | |
| "acc_norm_stderr": 0.020095083154577354 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.29315068493150687, | |
| "acc_norm_stderr": 0.023859326790131495 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "acc_norm": 0.31794871794871793, | |
| "acc_norm_stderr": 0.02361088430892786 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "acc_norm": 0.7407407407407407, | |
| "acc_norm_stderr": 0.08594360757264022 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "acc_norm": 0.6428571428571429, | |
| "acc_norm_stderr": 0.030244148407373345 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "acc_norm": 0.44215755855216465, | |
| "acc_norm_stderr": 0.013235579952588283 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "acc_norm": 0.42528735632183906, | |
| "acc_norm_stderr": 0.05331106836455265 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "acc_norm": 0.461864406779661, | |
| "acc_norm_stderr": 0.03252139567611254 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "acc_norm": 0.6053639846743295, | |
| "acc_norm_stderr": 0.030312375660874163 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "acc_norm": 0.9259259259259259, | |
| "acc_norm_stderr": 0.051361129280113826 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "acc_norm": 0.7421052631578947, | |
| "acc_norm_stderr": 0.03182167920564397 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "acc_norm": 0.78125, | |
| "acc_norm_stderr": 0.052083333333333336 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "acc_norm": 0.6639141205615194, | |
| "acc_norm_stderr": 0.013579644498095874 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "acc_norm": 0.6055555555555555, | |
| "acc_norm_stderr": 0.02579423747976592 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "acc_norm": 0.7701149425287356, | |
| "acc_norm_stderr": 0.04537158185250774 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "acc_norm": 0.5182481751824818, | |
| "acc_norm_stderr": 0.042846082608231466 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "acc_norm": 0.6215277777777778, | |
| "acc_norm_stderr": 0.016509802531796895 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "acc_norm": 0.6976744186046512, | |
| "acc_norm_stderr": 0.0351209126342837 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "acc_norm": 0.7098765432098766, | |
| "acc_norm_stderr": 0.035765960830111604 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "acc_norm": 0.5664739884393064, | |
| "acc_norm_stderr": 0.015388921639277933 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "acc_norm": 0.7095588235294118, | |
| "acc_norm_stderr": 0.027576468622740522 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "acc_norm": 0.7017543859649122, | |
| "acc_norm_stderr": 0.06113439056466399 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "acc_norm": 0.45526315789473687, | |
| "acc_norm_stderr": 0.018076058564462767 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "acc_norm": 0.6600985221674877, | |
| "acc_norm_stderr": 0.033327690684107895 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "acc_norm": 0.6078431372549019, | |
| "acc_norm_stderr": 0.048580835742663434 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "acc_norm": 0.5289514866979655, | |
| "acc_norm_stderr": 0.019761977496536964 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "acc_norm": 0.6616766467065869, | |
| "acc_norm_stderr": 0.025927866089771195 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "acc_norm": 0.6470588235294118, | |
| "acc_norm_stderr": 0.031041941304059285 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "acc_norm": 0.7447447447447447, | |
| "acc_norm_stderr": 0.013801484407974244 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "acc_norm": 0.554140127388535, | |
| "acc_norm_stderr": 0.0280955038645063 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "acc_norm": 0.7066666666666667, | |
| "acc_norm_stderr": 0.05292637528870839 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "acc_norm": 0.6625916870415648, | |
| "acc_norm_stderr": 0.0234083498229536 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "acc_norm": 0.7479338842975206, | |
| "acc_norm_stderr": 0.02796921759454876 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "acc_norm": 0.8363095238095238, | |
| "acc_norm_stderr": 0.02021495708959982 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "acc_norm": 0.6666666666666666, | |
| "acc_norm_stderr": 0.07647191129018724 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "acc_norm": 0.4588235294117647, | |
| "acc_norm_stderr": 0.0312662240259695 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "acc_norm": 0.6142857142857143, | |
| "acc_norm_stderr": 0.03367014035794127 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "acc_norm": 0.5435684647302904, | |
| "acc_norm_stderr": 0.0321520987444214 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "acc_norm": 0.7716312056737589, | |
| "acc_norm_stderr": 0.01582110968016085 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "acc_norm": 0.29, | |
| "acc_norm_stderr": 0.045604802157206845 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "acc_norm": 0.43703703703703706, | |
| "acc_norm_stderr": 0.04284958639753399 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "acc_norm": 0.7236842105263158, | |
| "acc_norm_stderr": 0.03639057569952929 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "acc_norm": 0.71, | |
| "acc_norm_stderr": 0.04560480215720684 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "acc_norm": 0.5962264150943396, | |
| "acc_norm_stderr": 0.03019761160019795 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "acc_norm": 0.5625, | |
| "acc_norm_stderr": 0.04148415739394154 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "acc_norm": 0.39, | |
| "acc_norm_stderr": 0.04902071300001975 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "acc_norm": 0.47, | |
| "acc_norm_stderr": 0.05016135580465919 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "acc_norm": 0.27, | |
| "acc_norm_stderr": 0.04461960433384739 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "acc_norm": 0.5549132947976878, | |
| "acc_norm_stderr": 0.03789401760283648 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "acc_norm": 0.4019607843137255, | |
| "acc_norm_stderr": 0.04878608714466996 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "acc_norm": 0.61, | |
| "acc_norm_stderr": 0.04902071300001975 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "acc_norm": 0.5829787234042553, | |
| "acc_norm_stderr": 0.03223276266711712 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "acc_norm": 0.39473684210526316, | |
| "acc_norm_stderr": 0.04598188057816542 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "acc_norm": 0.503448275862069, | |
| "acc_norm_stderr": 0.04166567577101579 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "acc_norm": 0.4576719576719577, | |
| "acc_norm_stderr": 0.025658868862058315 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "acc_norm": 0.38095238095238093, | |
| "acc_norm_stderr": 0.043435254289490986 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "acc_norm": 0.36, | |
| "acc_norm_stderr": 0.048241815132442176 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "acc_norm": 0.6312614739050616, | |
| "acc_norm_stderr": 0.007814252749335544 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "acc_norm": 0.6227589641434262, | |
| "acc_norm_stderr": 0.0076493878790818625 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "acc_norm": 0.63, | |
| "acc_norm_stderr": 0.04852365870939099 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "acc_norm": 0.5123895976447498, | |
| "acc_norm_stderr": 0.00553644750686066 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "acc_norm": 0.7424242424242424, | |
| "acc_norm_stderr": 0.03115626951964682 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "acc_norm": 0.7253886010362695, | |
| "acc_norm_stderr": 0.03221024508041153 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "acc_norm": 0.6537530266343826, | |
| "acc_norm_stderr": 0.008850156036408721 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "acc_norm": 0.2518518518518518, | |
| "acc_norm_stderr": 0.026466117538959912 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "acc_norm": 0.6554621848739496, | |
| "acc_norm_stderr": 0.03086868260412163 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "acc_norm": 0.33112582781456956, | |
| "acc_norm_stderr": 0.038425817186598696 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "acc_norm": 0.7027522935779816, | |
| "acc_norm_stderr": 0.01959570722464353 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "acc_norm": 0.6150756143667296, | |
| "acc_norm_stderr": 0.0074804970243334675 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "acc_norm": 0.6470588235294118, | |
| "acc_norm_stderr": 0.03354092437591521 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "acc_norm": 0.7215189873417721, | |
| "acc_norm_stderr": 0.029178682304842534 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "acc_norm": 0.5605381165919282, | |
| "acc_norm_stderr": 0.033310925110381785 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "acc_norm": 0.6335877862595419, | |
| "acc_norm_stderr": 0.04225875451969637 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "acc_norm": 0.71900826446281, | |
| "acc_norm_stderr": 0.04103203830514511 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "acc_norm": 0.6203703703703703, | |
| "acc_norm_stderr": 0.04691521224077742 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "acc_norm": 0.5153374233128835, | |
| "acc_norm_stderr": 0.03926522378708843 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "acc_norm": 0.4375, | |
| "acc_norm_stderr": 0.04708567521880525 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "acc_norm": 0.7087378640776699, | |
| "acc_norm_stderr": 0.04498676320572924 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "acc_norm": 0.7051282051282052, | |
| "acc_norm_stderr": 0.029872577708891176 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "acc_norm": 0.54, | |
| "acc_norm_stderr": 0.05009082659620332 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "acc_norm": 0.6669421487603305, | |
| "acc_norm_stderr": 0.009582657939319967 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "acc_norm": 0.5549132947976878, | |
| "acc_norm_stderr": 0.02675625512966377 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "acc_norm": 0.4335195530726257, | |
| "acc_norm_stderr": 0.01657402721951764 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "acc_norm": 0.6568627450980392, | |
| "acc_norm_stderr": 0.02718449890994161 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "acc_norm": 0.5401929260450161, | |
| "acc_norm_stderr": 0.028306190403305696 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "acc_norm": 0.5493827160493827, | |
| "acc_norm_stderr": 0.0276847214156562 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "acc_norm": 0.601019051838724, | |
| "acc_norm_stderr": 0.007289328655361061 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "acc_norm": 0.5097032678101916, | |
| "acc_norm_stderr": 0.005594014083193279 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "acc_norm": 0.6585216860109957, | |
| "acc_norm_stderr": 0.01172397693297082 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "acc_norm": 0.6277476448758207, | |
| "acc_norm_stderr": 0.008168704806450638 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "acc_norm": 0.5909090909090909, | |
| "acc_norm_stderr": 0.04709306978661895 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "acc_norm": 0.6857142857142857, | |
| "acc_norm_stderr": 0.029719329422417465 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "acc_norm": 0.6915422885572139, | |
| "acc_norm_stderr": 0.03265819588512699 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "acc_norm": 0.74, | |
| "acc_norm_stderr": 0.0440844002276808 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "acc_norm": 0.46987951807228917, | |
| "acc_norm_stderr": 0.03885425420866766 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "acc_norm": 0.5847953216374269, | |
| "acc_norm_stderr": 0.03779275945503201 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "acc_norm": 0.41013071895424835, | |
| "acc_norm_stderr": 0.019898412717635896 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.3698630136986301, | |
| "acc_norm_stderr": 0.02530388737869379 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "f1": 0.0, | |
| "f1_stderr": 0.0 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "f1": 0.018867924528301886, | |
| "f1_stderr": 0.01886792452830187 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "f1": 0.013157894736842105, | |
| "f1_stderr": 0.01315789473684212 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "f1": 0.10144927536231885, | |
| "f1_stderr": 0.036613506004249646 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "f1": 0.0, | |
| "f1_stderr": 0.0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "f1": 0.0, | |
| "f1_stderr": 0.0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "f1": 0.01282051282051282, | |
| "f1_stderr": 0.01282051282051282 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "f1": 0.09090909090909091, | |
| "f1_stderr": 0.03912104390108501 | |
| }, | |
| "community|alghafa:_average|0": { | |
| "acc_norm": 0.505330879006812, | |
| "acc_norm_stderr": 0.022831805098492856 | |
| }, | |
| "community|arabic_mmlu:_average|0": { | |
| "acc_norm": 0.6191982118310463, | |
| "acc_norm_stderr": 0.03396251383089467 | |
| }, | |
| "community|arabic_mmlu_ht:_average|0": { | |
| "acc_norm": 0.5638734207081045, | |
| "acc_norm_stderr": 0.032632131763265834 | |
| }, | |
| "community|madinah_qa:_average|0": { | |
| "acc_norm": 0.38999686632643926, | |
| "acc_norm_stderr": 0.02260115004816484 | |
| }, | |
| "community|aratrust:_average|0": { | |
| "f1": 0.02965058729463332, | |
| "f1_stderr": 0.015072610248873932 | |
| }, | |
| "all": { | |
| "acc_norm": 0.5759161481089259, | |
| "acc_norm_stderr": 0.03202526863405088, | |
| "f1": 0.02965058729463332, | |
| "f1_stderr": 0.015072610248873932 | |
| }, | |
| "community|alrage_qa|0": { | |
| "llm_as_judge": 0.7884615384615299, | |
| "llm_as_judge_stderr": 8.559013436574539e-05 | |
| } | |
| }, | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f1", | |
| "higher_is_better": true, | |
| "category": "3", | |
| "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": "f02937ba204b1ad8", | |
| "hash_input_tokens": "c5d46caae299de3a", | |
| "hash_cont_tokens": "d6519f4be64b0b3f" | |
| }, | |
| "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": "697d1eedfdb9c04c", | |
| "hash_input_tokens": "b8f44fefcc762655", | |
| "hash_cont_tokens": "fe549766a0ce738a" | |
| }, | |
| "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": "3e3d8fb5dcd581d1", | |
| "hash_input_tokens": "1b90412e20fb6a54", | |
| "hash_cont_tokens": "0349d70fe949b783" | |
| }, | |
| "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": "8d202b92b5bbc680", | |
| "hash_input_tokens": "351024b1610dbe3f", | |
| "hash_cont_tokens": "65b9e8001c0d9d5e" | |
| }, | |
| "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": "abea4c437d96afea", | |
| "hash_input_tokens": "df82ce8e5f198ab4", | |
| "hash_cont_tokens": "707d382e7333be99" | |
| }, | |
| "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": "a0bcf40e918e6155", | |
| "hash_input_tokens": "1f3d0fb6dd6d6c07", | |
| "hash_cont_tokens": "b2739963cb832e04" | |
| }, | |
| "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": "439c16f6cb92a3c0", | |
| "hash_input_tokens": "23c3f6827c8bb35d", | |
| "hash_cont_tokens": "b5f274f703abc5b7" | |
| }, | |
| "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": "1030e11d7cf70b2d", | |
| "hash_input_tokens": "63bef6cbe37cafe3", | |
| "hash_cont_tokens": "87c18aae5cfd812b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5995, | |
| "padded": 17921, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "6fb0e254ea5945d8", | |
| "hash_full_prompts": "890f5941deb3c0f8", | |
| "hash_input_tokens": "f6723eaa4b629d8a", | |
| "hash_cont_tokens": "8e03dcc04ffbd0bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1720, | |
| "padded": 5096, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_exams|0": { | |
| "hashes": { | |
| "hash_examples": "6d721df351722656", | |
| "hash_full_prompts": "55e0657bdc4b57ec", | |
| "hash_input_tokens": "2de50619448b122c", | |
| "hash_cont_tokens": "a4ef65bc7bab8dcf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 537, | |
| "padded": 2096, | |
| "non_padded": 52, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "hashes": { | |
| "hash_examples": "30e09697562ff9e7", | |
| "hash_full_prompts": "4741945dc05c404c", | |
| "hash_input_tokens": "d9d440af4626d814", | |
| "hash_cont_tokens": "587bf4caea1658f4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 74, | |
| "padded": 256, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "defb906f381cfcd9", | |
| "hash_input_tokens": "84e79f77f9c8b247", | |
| "hash_cont_tokens": "95a234c727b7b43c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2400, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "070068c411fb3997", | |
| "hash_input_tokens": "45ae2faa900c93a1", | |
| "hash_cont_tokens": "98f874e7446c544b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1545, | |
| "non_padded": 43, | |
| "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": "b876f89bc9dcafa1", | |
| "hash_input_tokens": "6557f4b55024c336", | |
| "hash_cont_tokens": "3d676d0d2f081e05" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 390, | |
| "padded": 1505, | |
| "non_padded": 20, | |
| "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": "e677edecf0bd75d5", | |
| "hash_input_tokens": "2370a7df88f6ac3c", | |
| "hash_cont_tokens": "322ea7667dfc2c2d" | |
| }, | |
| "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": "94d49814387fbb4e", | |
| "hash_input_tokens": "19bc93cb59607162", | |
| "hash_cont_tokens": "f3c78f80ddea1519" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 252, | |
| "padded": 918, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "91ae6d22a0f0213d", | |
| "hash_full_prompts": "16e71c6d0e42d330", | |
| "hash_input_tokens": "a9c9e2f98f772743", | |
| "hash_cont_tokens": "aaa20fdc3c06d2c3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1409, | |
| "padded": 4968, | |
| "non_padded": 88, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "f27bf8791bea2bb9", | |
| "hash_full_prompts": "8094808a6f0fa9b9", | |
| "hash_input_tokens": "54340cd4cbcb0ed6", | |
| "hash_cont_tokens": "e02c7ebfec7f8df8" | |
| }, | |
| "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": "47c41a36aa6573c3", | |
| "hash_input_tokens": "65fd2ed38bf47e12", | |
| "hash_cont_tokens": "1ffdd9a463183bfa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 236, | |
| "padded": 940, | |
| "non_padded": 4, | |
| "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": "4191fc5811855ee4", | |
| "hash_input_tokens": "e3936fe5034fe2b4", | |
| "hash_cont_tokens": "821feca3d9004c98" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 261, | |
| "padded": 994, | |
| "non_padded": 12, | |
| "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": "bb0869b87598266f", | |
| "hash_input_tokens": "1175a53ab1bd5d04", | |
| "hash_cont_tokens": "8b4f299b6f012a83" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 100, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "d96fc1bc32473533", | |
| "hash_full_prompts": "7ed3631dd316f004", | |
| "hash_input_tokens": "0aba5ea716735f7a", | |
| "hash_cont_tokens": "1bc67f97b48b9ece" | |
| }, | |
| "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": "6250444a7b9604b2", | |
| "hash_input_tokens": "997e414c6928c648", | |
| "hash_cont_tokens": "e9d871459bc85f62" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 64, | |
| "padded": 247, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "hashes": { | |
| "hash_examples": "7a4c38a2c451d075", | |
| "hash_full_prompts": "45b7b936d82c1150", | |
| "hash_input_tokens": "2c88f259576e1eb8", | |
| "hash_cont_tokens": "cd411982b0f12d43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1211, | |
| "padded": 3606, | |
| "non_padded": 79, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c04c252836601279", | |
| "hash_full_prompts": "214ea55ed2547a5e", | |
| "hash_input_tokens": "96597af859f46d09", | |
| "hash_cont_tokens": "4bda66df90f2d4d8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 360, | |
| "padded": 1374, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "18fba1579406b3cc", | |
| "hash_full_prompts": "bf2e646324d90429", | |
| "hash_input_tokens": "2a1e021fa1be08ed", | |
| "hash_cont_tokens": "3ea283b0f50a72f5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 344, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "hashes": { | |
| "hash_examples": "7c9e86fba8151562", | |
| "hash_full_prompts": "cb280cc805670549", | |
| "hash_input_tokens": "c3a9aa441a9c0ec7", | |
| "hash_cont_tokens": "91cdb256248a5bdf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 137, | |
| "padded": 532, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "acfbe4e1f0314b85", | |
| "hash_full_prompts": "755f37afe33f7559", | |
| "hash_input_tokens": "9a53b78640fc569a", | |
| "hash_cont_tokens": "76d704fbedbe5ab8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 864, | |
| "padded": 3169, | |
| "non_padded": 44, | |
| "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": "900b57bd55d23559", | |
| "hash_input_tokens": "e3c925f37edea57c", | |
| "hash_cont_tokens": "aff2aed9268be2e2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 172, | |
| "padded": 607, | |
| "non_padded": 21, | |
| "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": "a0a424f0a3b0eac3", | |
| "hash_input_tokens": "cefe36a7c4833462", | |
| "hash_cont_tokens": "6c8978669cdc11fb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 162, | |
| "padded": 629, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "e2e329d2bdd9fb7b", | |
| "hash_full_prompts": "5e3f92a804772548", | |
| "hash_input_tokens": "30d57ff320b61c5e", | |
| "hash_cont_tokens": "37e2e9c548d8c904" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1038, | |
| "padded": 4052, | |
| "non_padded": 64, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "420b161444291989", | |
| "hash_full_prompts": "7b0ccab5b80729bd", | |
| "hash_input_tokens": "9b2afb2cfa9c884f", | |
| "hash_cont_tokens": "5e24bb4c8be23901" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 272, | |
| "padded": 966, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5bc5ca48a4210899", | |
| "hash_full_prompts": "492ea8c528d1a4ce", | |
| "hash_input_tokens": "e6a84cc7fbbea387", | |
| "hash_cont_tokens": "b9f45957a97d1ecf" | |
| }, | |
| "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": "3b1781c2884844f2", | |
| "hash_input_tokens": "33e94552f837f9fb", | |
| "hash_cont_tokens": "b16e65544485acae" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 760, | |
| "padded": 2886, | |
| "non_padded": 76, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "5b9f1973337153a2", | |
| "hash_full_prompts": "61496c59903567ab", | |
| "hash_input_tokens": "5f16dccac0a842f3", | |
| "hash_cont_tokens": "e3b355a58a286ee4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 203, | |
| "padded": 734, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "af2469847007c1fe", | |
| "hash_full_prompts": "bef057b12f592695", | |
| "hash_input_tokens": "976354c56818402b", | |
| "hash_cont_tokens": "a52a22630c3cb3f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "hashes": { | |
| "hash_examples": "c8da9b2f16a5ea0f", | |
| "hash_full_prompts": "0e5f1eb074dc0576", | |
| "hash_input_tokens": "bfc64f6f39074abb", | |
| "hash_cont_tokens": "1866597a67ff4424" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 639, | |
| "padded": 2493, | |
| "non_padded": 36, | |
| "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": "f744eb11c6b54d16", | |
| "hash_input_tokens": "08de9bc825a5d321", | |
| "hash_cont_tokens": "6b678abb2fd451bd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 334, | |
| "padded": 1281, | |
| "non_padded": 4, | |
| "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": "7813be863908efee", | |
| "hash_input_tokens": "463ec973157780e5", | |
| "hash_cont_tokens": "e0c922e595ad51cd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 867, | |
| "non_padded": 16, | |
| "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": "4aca4836da321f21", | |
| "hash_input_tokens": "99734f514241a3c7", | |
| "hash_cont_tokens": "97e2182a63c5686c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 999, | |
| "padded": 2969, | |
| "non_padded": 55, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "hashes": { | |
| "hash_examples": "e77f52c8fe4352b3", | |
| "hash_full_prompts": "a3be12bf791af8de", | |
| "hash_input_tokens": "c5c7dc6826385845", | |
| "hash_cont_tokens": "324cc46c561b417c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 314, | |
| "padded": 1223, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "hashes": { | |
| "hash_examples": "09682649b04b7327", | |
| "hash_full_prompts": "78d4da7370157ec4", | |
| "hash_input_tokens": "54d94ede5a933a47", | |
| "hash_cont_tokens": "1e98e1e2cd19a5e3" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 75, | |
| "padded": 200, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "edb027bfae7e76f1", | |
| "hash_full_prompts": "178f2eb46937183b", | |
| "hash_input_tokens": "75bfc213a86175e1", | |
| "hash_cont_tokens": "632401a080490684" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 409, | |
| "padded": 1290, | |
| "non_padded": 6, | |
| "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": "239009c63aea5254", | |
| "hash_input_tokens": "e7158be6feedd6b0", | |
| "hash_cont_tokens": "17e42af5dbb9eee1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 242, | |
| "padded": 924, | |
| "non_padded": 16, | |
| "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": "4944591b3477da56", | |
| "hash_input_tokens": "450d0c7980792e34", | |
| "hash_cont_tokens": "a7423721c9837336" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 336, | |
| "padded": 1206, | |
| "non_padded": 22, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "dc6ebd484a02fca5", | |
| "hash_full_prompts": "2e02d39134ca27b9", | |
| "hash_input_tokens": "f701902515c930b6", | |
| "hash_cont_tokens": "69b31fc6977897bf" | |
| }, | |
| "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": "8775cd855e0037a0", | |
| "hash_input_tokens": "cd4e875d7682e885", | |
| "hash_cont_tokens": "f9506aa86f66954d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 255, | |
| "padded": 996, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "07a4ed6aabbdfd1e", | |
| "hash_full_prompts": "37e2532e45ac8d56", | |
| "hash_input_tokens": "58d50b4224872505", | |
| "hash_cont_tokens": "4799b66f49438465" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 210, | |
| "padded": 688, | |
| "non_padded": 22, | |
| "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": "d16202ba6df674e8", | |
| "hash_input_tokens": "986dc1d7d3e7e2e4", | |
| "hash_cont_tokens": "4602cb88db99312d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 241, | |
| "padded": 919, | |
| "non_padded": 10, | |
| "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": "978eed85ae542f82", | |
| "hash_input_tokens": "6007527150145bcd", | |
| "hash_cont_tokens": "19e973e9f05c9c82" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 705, | |
| "padded": 2004, | |
| "non_padded": 39, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "hashes": { | |
| "hash_examples": "0b557911f2f6d919", | |
| "hash_full_prompts": "b9b74df23feeb3d4", | |
| "hash_input_tokens": "6e05db140b631116", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "hashes": { | |
| "hash_examples": "a552d8a0ef294061", | |
| "hash_full_prompts": "b06f5aaf0f85df9f", | |
| "hash_input_tokens": "67bf2803fb118238", | |
| "hash_cont_tokens": "96c000fa61c3bd55" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 135, | |
| "padded": 532, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "hashes": { | |
| "hash_examples": "c4a372d0af7da098", | |
| "hash_full_prompts": "3a822121db18d697", | |
| "hash_input_tokens": "85ddaf31cb466ab7", | |
| "hash_cont_tokens": "b13cc32205751d90" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 152, | |
| "padded": 604, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "hashes": { | |
| "hash_examples": "9f71d816abf8af7a", | |
| "hash_full_prompts": "9c3db18f134ba3a8", | |
| "hash_input_tokens": "2c9776a82304f1a9", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "38303cd765589ef3", | |
| "hash_full_prompts": "b5da720810123a41", | |
| "hash_input_tokens": "478e660a7611b19e", | |
| "hash_cont_tokens": "c771582839d4f30c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 265, | |
| "padded": 1028, | |
| "non_padded": 32, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "hashes": { | |
| "hash_examples": "dbd9b5d318e60b04", | |
| "hash_full_prompts": "35dc7c41ef73879a", | |
| "hash_input_tokens": "bb74627898cf6e30", | |
| "hash_cont_tokens": "ec774ac0d0ad658b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 144, | |
| "padded": 572, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "hashes": { | |
| "hash_examples": "6f88491d03db8a4c", | |
| "hash_full_prompts": "60538c856b87e6f8", | |
| "hash_input_tokens": "3f341647d141f2e3", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "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": "f5c6bef4fe087efc", | |
| "hash_input_tokens": "ae197f9f0b74255a", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "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": "23654f332df33413", | |
| "hash_input_tokens": "e9b2485f3b7317b1", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "51a5501373afb5a7", | |
| "hash_full_prompts": "cd2cef8530d399a0", | |
| "hash_input_tokens": "98980a58c0e39af0", | |
| "hash_cont_tokens": "1823a754e6394181" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 173, | |
| "padded": 680, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "hashes": { | |
| "hash_examples": "2d3e015989b108db", | |
| "hash_full_prompts": "e410e1b05e941a97", | |
| "hash_input_tokens": "917ff93aa3f4402f", | |
| "hash_cont_tokens": "ee5dc873d27b9e10" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 404, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "hashes": { | |
| "hash_examples": "f8810eddc38dfee4", | |
| "hash_full_prompts": "42cc7d49956effc3", | |
| "hash_input_tokens": "ff792b61c84db93f", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "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": "ff91fa0a4e67f9a8", | |
| "hash_input_tokens": "88eb2efb515a65bb", | |
| "hash_cont_tokens": "b7b580bbcf7e0afa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 235, | |
| "padded": 896, | |
| "non_padded": 44, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "hashes": { | |
| "hash_examples": "810023786b2484d2", | |
| "hash_full_prompts": "eb28f6258f649706", | |
| "hash_input_tokens": "c96c1f4df4664579", | |
| "hash_cont_tokens": "d44932b2a931e093" | |
| }, | |
| "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": "68e10a631a57f618", | |
| "hash_input_tokens": "60edabc0f14459e5", | |
| "hash_cont_tokens": "159f4cb1232d2a3c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 145, | |
| "padded": 544, | |
| "non_padded": 36, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "4c069aeee64dc227", | |
| "hash_full_prompts": "012257987ce861de", | |
| "hash_input_tokens": "f1145c2776587119", | |
| "hash_cont_tokens": "2bf44b70baf49dfa" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 378, | |
| "padded": 1500, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "hashes": { | |
| "hash_examples": "3cb0ccbf8e8a77ae", | |
| "hash_full_prompts": "1092202f23e61e35", | |
| "hash_input_tokens": "1efb064ea71f3f2c", | |
| "hash_cont_tokens": "8765c45f4711ebb8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 126, | |
| "padded": 504, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "hashes": { | |
| "hash_examples": "c1d039e64ea321b9", | |
| "hash_full_prompts": "7bfe9d88e40df3ee", | |
| "hash_input_tokens": "120c84337f637e6b", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 388, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "hashes": { | |
| "hash_examples": "ddcb8237bb4ba08a", | |
| "hash_full_prompts": "db5ce7a5a6f1dbc3", | |
| "hash_input_tokens": "faae5858a4dec0fe", | |
| "hash_cont_tokens": "49908817551a4513" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3813, | |
| "padded": 15100, | |
| "non_padded": 152, | |
| "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": "742ff8decec1118f", | |
| "hash_input_tokens": "f659ee3dbb9b8d63", | |
| "hash_cont_tokens": "a7f16a586e1cfe0f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4016, | |
| "padded": 15912, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "8d3405483d5fdcff", | |
| "hash_full_prompts": "544efc214e04a185", | |
| "hash_input_tokens": "5c72baed65799547", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "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": "36062098867d2fdf", | |
| "hash_input_tokens": "dbdc436363ab7ef7", | |
| "hash_cont_tokens": "5420388845898571" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 8152, | |
| "padded": 32448, | |
| "non_padded": 160, | |
| "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": "fc69d2030755028c", | |
| "hash_input_tokens": "c22e2cc72ad66a98", | |
| "hash_cont_tokens": "fa4a2c8384dfaaa5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 198, | |
| "padded": 768, | |
| "non_padded": 24, | |
| "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": "ea01912a5b3de0d4", | |
| "hash_input_tokens": "11c8a4bab7441292", | |
| "hash_cont_tokens": "682709d2fa91c75e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 193, | |
| "padded": 768, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "hashes": { | |
| "hash_examples": "694d3a01c6144ddb", | |
| "hash_full_prompts": "067fc8d5b4c2f558", | |
| "hash_input_tokens": "19e2a03c137c8970", | |
| "hash_cont_tokens": "4f2f97c723cb220f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2891, | |
| "padded": 11440, | |
| "non_padded": 124, | |
| "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": "1baa89b754304381", | |
| "hash_input_tokens": "e64a27ba52d9145a", | |
| "hash_cont_tokens": "8130a825e5a2ee3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 270, | |
| "padded": 1072, | |
| "non_padded": 8, | |
| "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": "45f2c96cec5cd28c", | |
| "hash_input_tokens": "d1383af8f0595dac", | |
| "hash_cont_tokens": "4f6974070ef28d29" | |
| }, | |
| "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": "9d8ce8051351cf76", | |
| "hash_input_tokens": "ce71fd09e5fefc38", | |
| "hash_cont_tokens": "5d32bcd7ba8252ba" | |
| }, | |
| "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": "63e76443cb7e9247", | |
| "hash_input_tokens": "c415415d338e3fdb", | |
| "hash_cont_tokens": "1512a6938229952b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 545, | |
| "padded": 2156, | |
| "non_padded": 24, | |
| "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": "31e18f289d3ff6bd", | |
| "hash_input_tokens": "0d165533ee3defd6", | |
| "hash_cont_tokens": "95cb29e5c31221c8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4232, | |
| "padded": 16776, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "hashes": { | |
| "hash_examples": "722ec9207e3b0e04", | |
| "hash_full_prompts": "a8049bd5bf8ffccf", | |
| "hash_input_tokens": "e503ed4f5fc40f1b", | |
| "hash_cont_tokens": "0c31c2de1e3429bf" | |
| }, | |
| "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": "51d86b4490ac7e71", | |
| "hash_input_tokens": "61ee1f212a3fa5f6", | |
| "hash_cont_tokens": "5e704d9d54138833" | |
| }, | |
| "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": "f863ba5d24da8adc", | |
| "hash_input_tokens": "316a13071b03a265", | |
| "hash_cont_tokens": "e5a3e63957647f04" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 223, | |
| "padded": 868, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "hashes": { | |
| "hash_examples": "47551ab4e5dcf6c5", | |
| "hash_full_prompts": "eb92874ade3ce5f1", | |
| "hash_input_tokens": "e5911f9ce5e0fd83", | |
| "hash_cont_tokens": "90a9b6d1231332f4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 131, | |
| "padded": 512, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "hashes": { | |
| "hash_examples": "da360336943398d5", | |
| "hash_full_prompts": "03f5f8d05ff8b8d3", | |
| "hash_input_tokens": "74e78058c57966e5", | |
| "hash_cont_tokens": "9ab33ab519d55748" | |
| }, | |
| "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": "a6713089705fd8ee", | |
| "hash_input_tokens": "ea98394e44abbc36", | |
| "hash_cont_tokens": "2cecb6db3790a23b" | |
| }, | |
| "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": "12f9bceb00903955", | |
| "hash_input_tokens": "a56af9a9e4b03e05", | |
| "hash_cont_tokens": "f5c60e363dd9fc3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 163, | |
| "padded": 640, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "hashes": { | |
| "hash_examples": "3ce756e6a22ffc48", | |
| "hash_full_prompts": "11f5a6e1e0c98e08", | |
| "hash_input_tokens": "7d0933c464b4381e", | |
| "hash_cont_tokens": "d41e7e44237c0a16" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 112, | |
| "padded": 444, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "hashes": { | |
| "hash_examples": "20fe769bb3276832", | |
| "hash_full_prompts": "7062687337a3a595", | |
| "hash_input_tokens": "a14e25be589a8970", | |
| "hash_cont_tokens": "372864196dbb4cad" | |
| }, | |
| "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": "9d23a14914d796f3", | |
| "hash_input_tokens": "a4f3cc7508d4e93b", | |
| "hash_cont_tokens": "ad74b6b4e88f6100" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 234, | |
| "padded": 932, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "hashes": { | |
| "hash_examples": "cbb0fa9df0f5435a", | |
| "hash_full_prompts": "9891ab73be820b06", | |
| "hash_input_tokens": "70af4afdc52c7941", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 384, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "hashes": { | |
| "hash_examples": "0a4134046c23cff9", | |
| "hash_full_prompts": "cb347937c22a0fcb", | |
| "hash_input_tokens": "a5984d60b5ab4a6c", | |
| "hash_cont_tokens": "f2831dc319b7001c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2420, | |
| "padded": 9580, | |
| "non_padded": 100, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "hashes": { | |
| "hash_examples": "1ac8a0967c82caa0", | |
| "hash_full_prompts": "49fadb27be0ce7aa", | |
| "hash_input_tokens": "df785a14b160f6d2", | |
| "hash_cont_tokens": "d6a32c4f89ec0e43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 346, | |
| "padded": 1368, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "hashes": { | |
| "hash_examples": "2c0670188bc5a789", | |
| "hash_full_prompts": "c4129c0b4487975b", | |
| "hash_input_tokens": "252322ad84c494d3", | |
| "hash_cont_tokens": "0abad6841e9b5dc1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3504, | |
| "non_padded": 76, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "hashes": { | |
| "hash_examples": "658628c0dcdfe201", | |
| "hash_full_prompts": "dc303807e16966cd", | |
| "hash_input_tokens": "cc46276a307de526", | |
| "hash_cont_tokens": "1947ff415070dfa5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 306, | |
| "padded": 1208, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "hashes": { | |
| "hash_examples": "8b6707b322affafd", | |
| "hash_full_prompts": "7a7cfceedd3d2ea9", | |
| "hash_input_tokens": "d1ec6f38f5a0a376", | |
| "hash_cont_tokens": "566ed263a8423f58" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 311, | |
| "padded": 1224, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "hashes": { | |
| "hash_examples": "0c85ffcdc9a7b367", | |
| "hash_full_prompts": "438b0c8c256bd402", | |
| "hash_input_tokens": "85e4ccbc62fc9f5e", | |
| "hash_cont_tokens": "69725bb3099f23d0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 324, | |
| "padded": 1272, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "hashes": { | |
| "hash_examples": "cce1ea2d5f544b2f", | |
| "hash_full_prompts": "0b347aee49687cec", | |
| "hash_input_tokens": "b4299b14a3ee4aa5", | |
| "hash_cont_tokens": "25802ac32c51a7f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4514, | |
| "padded": 17819, | |
| "non_padded": 237, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "hashes": { | |
| "hash_examples": "1c654b024b54eb4b", | |
| "hash_full_prompts": "5eaef9276cbb03a1", | |
| "hash_input_tokens": "4fb1579a4e12d007", | |
| "hash_cont_tokens": "7f2b1b7218a1ef40" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7987, | |
| "padded": 31596, | |
| "non_padded": 352, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "c621eaacfa662ebc", | |
| "hash_full_prompts": "827b2000a1b95969", | |
| "hash_input_tokens": "5bf5aaee785b701a", | |
| "hash_cont_tokens": "e1afe1503a5d02c5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1637, | |
| "padded": 6476, | |
| "non_padded": 72, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "bc14a28eaec87dc4", | |
| "hash_full_prompts": "ac74eed216ed2aa4", | |
| "hash_input_tokens": "479a3b289ebcb83c", | |
| "hash_cont_tokens": "1c41f3eeadeec685" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3503, | |
| "padded": 13760, | |
| "non_padded": 252, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "hashes": { | |
| "hash_examples": "de4989d9375885c4", | |
| "hash_full_prompts": "b2a1a4d76e245a88", | |
| "hash_input_tokens": "5452755b3b65e771", | |
| "hash_cont_tokens": "3914ab4a5d5b69e8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 110, | |
| "padded": 432, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "hashes": { | |
| "hash_examples": "3f84bfeec717c6de", | |
| "hash_full_prompts": "2bdaa60ae6cdb812", | |
| "hash_input_tokens": "ef897bb433a39d1b", | |
| "hash_cont_tokens": "1d2b199df736dea4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 245, | |
| "padded": 972, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "hashes": { | |
| "hash_examples": "10d7c2fae10bfcbc", | |
| "hash_full_prompts": "6dc64bcb9a8e74b3", | |
| "hash_input_tokens": "f1ff20fc6f81e8ca", | |
| "hash_cont_tokens": "3556cb090eda6dec" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 201, | |
| "padded": 788, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "hashes": { | |
| "hash_examples": "bb05f02c38ddaf1a", | |
| "hash_full_prompts": "2c78f15085fe5d18", | |
| "hash_input_tokens": "cf3e4b9434a54962", | |
| "hash_cont_tokens": "d35519013f781909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 376, | |
| "non_padded": 24, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "hashes": { | |
| "hash_examples": "290915a48884ede2", | |
| "hash_full_prompts": "6ac0831aaf7baaa6", | |
| "hash_input_tokens": "09df497a0f9981ea", | |
| "hash_cont_tokens": "cbf93f8f3bd5c82c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 166, | |
| "padded": 636, | |
| "non_padded": 28, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "hashes": { | |
| "hash_examples": "91cc5451c7284f75", | |
| "hash_full_prompts": "bc7e3635516606d1", | |
| "hash_input_tokens": "8ce068df9a307425", | |
| "hash_cont_tokens": "b5fbc024ac54a858" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 171, | |
| "padded": 672, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "defb906f381cfcd9", | |
| "hash_input_tokens": "cfd6f557e92b800e", | |
| "hash_cont_tokens": "05d3f2bc980e6cbb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2346, | |
| "non_padded": 57, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "070068c411fb3997", | |
| "hash_input_tokens": "f92e93204cd1dcfd", | |
| "hash_cont_tokens": "ac1327c8a93a78f2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1521, | |
| "non_padded": 67, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "hashes": { | |
| "hash_examples": "b77354655caca219", | |
| "hash_full_prompts": "3b6c35af9dd55ba5", | |
| "hash_input_tokens": "3f497e926dd77d76", | |
| "hash_cont_tokens": "ef0aae761dbc9563" | |
| }, | |
| "truncated": 36, | |
| "non_truncated": 24, | |
| "padded": 60, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "hashes": { | |
| "hash_examples": "daa90cfb03dd9ed8", | |
| "hash_full_prompts": "a1a797d500db526f", | |
| "hash_input_tokens": "28c17df2a02b1a45", | |
| "hash_cont_tokens": "9e4af615e4d8373c" | |
| }, | |
| "truncated": 37, | |
| "non_truncated": 16, | |
| "padded": 53, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "ca046355c96d95d9", | |
| "hash_full_prompts": "f0b0bf58012fc511", | |
| "hash_input_tokens": "c98394a996e20c73", | |
| "hash_cont_tokens": "55753deb743d2c3e" | |
| }, | |
| "truncated": 59, | |
| "non_truncated": 17, | |
| "padded": 76, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "hashes": { | |
| "hash_examples": "6ff77d23c0f3113d", | |
| "hash_full_prompts": "e44f96f8e6f119af", | |
| "hash_input_tokens": "6764872aaa2b5eec", | |
| "hash_cont_tokens": "0f15fbe9ae8d2ad9" | |
| }, | |
| "truncated": 40, | |
| "non_truncated": 29, | |
| "padded": 69, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "085db2421f8abf29", | |
| "hash_full_prompts": "76b6bac76dbaf06c", | |
| "hash_input_tokens": "4bb4cbf155e95693", | |
| "hash_cont_tokens": "86a3631c2986ee08" | |
| }, | |
| "truncated": 64, | |
| "non_truncated": 9, | |
| "padded": 73, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "hashes": { | |
| "hash_examples": "78f4d16753b18c49", | |
| "hash_full_prompts": "63c7263b4ad8a155", | |
| "hash_input_tokens": "97fef45f53c0229d", | |
| "hash_cont_tokens": "43ec4780893c5173" | |
| }, | |
| "truncated": 45, | |
| "non_truncated": 12, | |
| "padded": 56, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "hashes": { | |
| "hash_examples": "373f72b4e30243c4", | |
| "hash_full_prompts": "9b519b28f08eebb6", | |
| "hash_input_tokens": "3dba8d8a5c44be92", | |
| "hash_cont_tokens": "c74eba74aea9d584" | |
| }, | |
| "truncated": 2, | |
| "non_truncated": 76, | |
| "padded": 78, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "hashes": { | |
| "hash_examples": "51fa7940e42ffcc6", | |
| "hash_full_prompts": "d5ca4d44e29290d9", | |
| "hash_input_tokens": "42cf3a01f02df209", | |
| "hash_cont_tokens": "afde88bab374803e" | |
| }, | |
| "truncated": 41, | |
| "non_truncated": 14, | |
| "padded": 55, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alrage_qa|0": { | |
| "hashes": { | |
| "hash_examples": "3edbbe22cabd4160", | |
| "hash_full_prompts": "bbeddba8b85e29c5", | |
| "hash_input_tokens": "dbccd73d9313a2b1", | |
| "hash_cont_tokens": "ae543aaa202832d0" | |
| }, | |
| "truncated": 2106, | |
| "non_truncated": 0, | |
| "padded": 2106, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| } | |
| }, | |
| "summary_general": { | |
| "hashes": { | |
| "hash_examples": "b8b3b49631adcc40", | |
| "hash_full_prompts": "e48a7dc3cb64f4f5", | |
| "hash_input_tokens": "98ceab2143f4e323", | |
| "hash_cont_tokens": "786dfe8a7b41c516" | |
| }, | |
| "truncated": 324, | |
| "non_truncated": 91538, | |
| "padded": 333440, | |
| "non_padded": 3444, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |