| { | |
| "config_general": { | |
| "lighteval_sha": "?", | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": 0, | |
| "start_time": 759.616964249, | |
| "end_time": 5530.081908392, | |
| "total_evaluation_time_secondes": "4770.464944142999", | |
| "model_name": "Qwen/Qwen2.5-7B-Instruct", | |
| "model_sha": "a09a35458c702b33eeacc393d103063234e8bc28", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "14.19 GB" | |
| }, | |
| "results": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "acc_norm": 0.32854578096947934, | |
| "acc_norm_stderr": 0.01991905611119292 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "acc_norm": 0.35940685820203894, | |
| "acc_norm_stderr": 0.006533243595055787 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "acc_norm": 0.39106145251396646, | |
| "acc_norm_stderr": 0.016320763763808383 | |
| }, | |
| "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": 0.5333333333333333, | |
| "acc_norm_stderr": 0.04087046889188089 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "acc_norm": 0.4266666666666667, | |
| "acc_norm_stderr": 0.040518636214537794 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "acc_norm": 0.774859287054409, | |
| "acc_norm_stderr": 0.004671500157902918 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "acc_norm": 0.533277731442869, | |
| "acc_norm_stderr": 0.006443882555369075 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "acc_norm": 0.4005813953488372, | |
| "acc_norm_stderr": 0.011818777544502406 | |
| }, | |
| "community|arabic_exams|0": { | |
| "acc_norm": 0.39664804469273746, | |
| "acc_norm_stderr": 0.02113029821107871 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "acc_norm": 0.4189189189189189, | |
| "acc_norm_stderr": 0.057746002446083286 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "acc_norm": 0.5032679738562091, | |
| "acc_norm_stderr": 0.020227402794434864 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.42191780821917807, | |
| "acc_norm_stderr": 0.02588558783359841 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "acc_norm": 0.30256410256410254, | |
| "acc_norm_stderr": 0.02329088805377274 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "acc_norm": 0.5925925925925926, | |
| "acc_norm_stderr": 0.09636202008710973 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "acc_norm": 0.5158730158730159, | |
| "acc_norm_stderr": 0.03154381303686603 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "acc_norm": 0.40099361249112847, | |
| "acc_norm_stderr": 0.013061201415237648 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "acc_norm": 0.40229885057471265, | |
| "acc_norm_stderr": 0.052877049732218045 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "acc_norm": 0.4491525423728814, | |
| "acc_norm_stderr": 0.03244730825493677 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "acc_norm": 0.578544061302682, | |
| "acc_norm_stderr": 0.03062369811575546 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "acc_norm": 0.5555555555555556, | |
| "acc_norm_stderr": 0.09745089103411436 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "acc_norm": 0.6684210526315789, | |
| "acc_norm_stderr": 0.03424424788761949 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "acc_norm": 0.515625, | |
| "acc_norm_stderr": 0.06296331249416676 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "acc_norm": 0.6399669694467383, | |
| "acc_norm_stderr": 0.01379930670985465 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "acc_norm": 0.5194444444444445, | |
| "acc_norm_stderr": 0.026369028510146796 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "acc_norm": 0.6091954022988506, | |
| "acc_norm_stderr": 0.052614920082724996 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "acc_norm": 0.45985401459854014, | |
| "acc_norm_stderr": 0.042736220677146664 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "acc_norm": 0.53125, | |
| "acc_norm_stderr": 0.01698692283813318 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "acc_norm": 0.4883720930232558, | |
| "acc_norm_stderr": 0.038225614615656336 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.03940552031195503 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "acc_norm": 0.44701348747591524, | |
| "acc_norm_stderr": 0.015439321285145247 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "acc_norm": 0.5735294117647058, | |
| "acc_norm_stderr": 0.030042615832714867 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "acc_norm": 0.5964912280701754, | |
| "acc_norm_stderr": 0.06555933012294902 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "acc_norm": 0.3986842105263158, | |
| "acc_norm_stderr": 0.017772353135495574 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "acc_norm": 0.5467980295566502, | |
| "acc_norm_stderr": 0.035025446508458714 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "acc_norm": 0.4019607843137255, | |
| "acc_norm_stderr": 0.04878608714466997 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "acc_norm": 0.37715179968701096, | |
| "acc_norm_stderr": 0.01918840427008932 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "acc_norm": 0.5239520958083832, | |
| "acc_norm_stderr": 0.0273683744354391 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "acc_norm": 0.5756302521008403, | |
| "acc_norm_stderr": 0.032104790510157764 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "acc_norm": 0.6336336336336337, | |
| "acc_norm_stderr": 0.015251467683303802 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "acc_norm": 0.6751592356687898, | |
| "acc_norm_stderr": 0.026470747140665826 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "acc_norm": 0.72, | |
| "acc_norm_stderr": 0.052195060344100805 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "acc_norm": 0.6112469437652812, | |
| "acc_norm_stderr": 0.024133214719617147 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "acc_norm": 0.5743801652892562, | |
| "acc_norm_stderr": 0.03184946380154992 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "acc_norm": 0.6755952380952381, | |
| "acc_norm_stderr": 0.025577877122318127 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "acc_norm": 0.5384615384615384, | |
| "acc_norm_stderr": 0.08087038200582258 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "acc_norm": 0.3411764705882353, | |
| "acc_norm_stderr": 0.02974796271097412 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "acc_norm": 0.5333333333333333, | |
| "acc_norm_stderr": 0.034508780443504965 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "acc_norm": 0.4149377593360996, | |
| "acc_norm_stderr": 0.0318043770057176 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "acc_norm": 0.6680851063829787, | |
| "acc_norm_stderr": 0.01774773501122679 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "acc_norm": 0.25, | |
| "acc_norm_stderr": 0.04351941398892446 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "acc_norm": 0.31851851851851853, | |
| "acc_norm_stderr": 0.04024778401977111 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "acc_norm": 0.4605263157894737, | |
| "acc_norm_stderr": 0.04056242252249034 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "acc_norm": 0.43, | |
| "acc_norm_stderr": 0.049756985195624284 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "acc_norm": 0.47547169811320755, | |
| "acc_norm_stderr": 0.030735822206205615 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "acc_norm": 0.3611111111111111, | |
| "acc_norm_stderr": 0.040166600304512336 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "acc_norm": 0.44, | |
| "acc_norm_stderr": 0.04988876515698589 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "acc_norm": 0.42, | |
| "acc_norm_stderr": 0.049604496374885836 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "acc_norm": 0.33, | |
| "acc_norm_stderr": 0.047258156262526045 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "acc_norm": 0.4393063583815029, | |
| "acc_norm_stderr": 0.03784271932887467 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "acc_norm": 0.3137254901960784, | |
| "acc_norm_stderr": 0.04617034827006718 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "acc_norm": 0.39, | |
| "acc_norm_stderr": 0.04902071300001975 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "acc_norm": 0.3829787234042553, | |
| "acc_norm_stderr": 0.03177821250236922 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "acc_norm": 0.2631578947368421, | |
| "acc_norm_stderr": 0.041424397194893624 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "acc_norm": 0.3448275862068966, | |
| "acc_norm_stderr": 0.039609335494512087 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "acc_norm": 0.36243386243386244, | |
| "acc_norm_stderr": 0.02475747390275206 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "acc_norm": 0.373015873015873, | |
| "acc_norm_stderr": 0.04325506042017086 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "acc_norm": 0.24, | |
| "acc_norm_stderr": 0.042923469599092816 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "acc_norm": 0.4311565696302124, | |
| "acc_norm_stderr": 0.008021164653363213 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "acc_norm": 0.425796812749004, | |
| "acc_norm_stderr": 0.007803532217460236 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "acc_norm": 0.37, | |
| "acc_norm_stderr": 0.048523658709391 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "acc_norm": 0.367639842983317, | |
| "acc_norm_stderr": 0.005340575864309508 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "acc_norm": 0.601010101010101, | |
| "acc_norm_stderr": 0.03488901616852732 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "acc_norm": 0.5284974093264249, | |
| "acc_norm_stderr": 0.03602573571288442 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "acc_norm": 0.4489795918367347, | |
| "acc_norm_stderr": 0.009252268363984675 | |
| }, | |
| "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": 0.4789915966386555, | |
| "acc_norm_stderr": 0.032449808499900284 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "acc_norm": 0.33774834437086093, | |
| "acc_norm_stderr": 0.038615575462551684 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "acc_norm": 0.5174311926605505, | |
| "acc_norm_stderr": 0.02142429187185316 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "acc_norm": 0.42745746691871456, | |
| "acc_norm_stderr": 0.00760551835528933 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "acc_norm": 0.38235294117647056, | |
| "acc_norm_stderr": 0.03410785338904719 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "acc_norm": 0.379746835443038, | |
| "acc_norm_stderr": 0.0315918875296585 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "acc_norm": 0.34080717488789236, | |
| "acc_norm_stderr": 0.0318114974705536 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "acc_norm": 0.4732824427480916, | |
| "acc_norm_stderr": 0.04379024936553894 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "acc_norm": 0.4214876033057851, | |
| "acc_norm_stderr": 0.045077322787750944 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "acc_norm": 0.42592592592592593, | |
| "acc_norm_stderr": 0.0478034362693679 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "acc_norm": 0.37423312883435583, | |
| "acc_norm_stderr": 0.038020681028996146 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "acc_norm": 0.26785714285714285, | |
| "acc_norm_stderr": 0.04203277291467762 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "acc_norm": 0.5048543689320388, | |
| "acc_norm_stderr": 0.049505043821289195 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "acc_norm": 0.5512820512820513, | |
| "acc_norm_stderr": 0.032583346493868806 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "acc_norm": 0.44, | |
| "acc_norm_stderr": 0.04988876515698589 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "acc_norm": 0.45, | |
| "acc_norm_stderr": 0.010115088047115969 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "acc_norm": 0.36127167630057805, | |
| "acc_norm_stderr": 0.025862201852277875 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "acc_norm": 0.293854748603352, | |
| "acc_norm_stderr": 0.015235075776719585 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "acc_norm": 0.47058823529411764, | |
| "acc_norm_stderr": 0.028580341065138286 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "acc_norm": 0.3504823151125402, | |
| "acc_norm_stderr": 0.027098652621301747 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "acc_norm": 0.36419753086419754, | |
| "acc_norm_stderr": 0.026774929899722327 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "acc_norm": 0.42024811696942843, | |
| "acc_norm_stderr": 0.0073475289390145405 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "acc_norm": 0.36747214223112556, | |
| "acc_norm_stderr": 0.005394949532219051 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "acc_norm": 0.4526572999389126, | |
| "acc_norm_stderr": 0.012306166302523213 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "acc_norm": 0.42963174421924066, | |
| "acc_norm_stderr": 0.008365035410113037 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "acc_norm": 0.41818181818181815, | |
| "acc_norm_stderr": 0.0472457740573157 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "acc_norm": 0.4775510204081633, | |
| "acc_norm_stderr": 0.03197694118713672 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "acc_norm": 0.527363184079602, | |
| "acc_norm_stderr": 0.035302355173346824 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "acc_norm": 0.59, | |
| "acc_norm_stderr": 0.04943110704237101 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "acc_norm": 0.2891566265060241, | |
| "acc_norm_stderr": 0.03529486801511115 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "acc_norm": 0.38011695906432746, | |
| "acc_norm_stderr": 0.037229657413855394 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "acc_norm": 0.4035947712418301, | |
| "acc_norm_stderr": 0.01984828016840116 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.34794520547945207, | |
| "acc_norm_stderr": 0.024965874481689573 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "acc_norm": 0.6833333333333333, | |
| "acc_norm_stderr": 0.060560781750670575 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "acc_norm": 0.9245283018867925, | |
| "acc_norm_stderr": 0.03663114503374153 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "acc_norm": 0.9078947368421053, | |
| "acc_norm_stderr": 0.033390993527498726 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "acc_norm": 0.5652173913043478, | |
| "acc_norm_stderr": 0.06011590421249698 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "acc_norm": 0.821917808219178, | |
| "acc_norm_stderr": 0.045087711548245445 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "acc_norm": 0.9298245614035088, | |
| "acc_norm_stderr": 0.03413493351347426 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "acc_norm": 0.7307692307692307, | |
| "acc_norm_stderr": 0.0505483646671362 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "acc_norm": 0.8909090909090909, | |
| "acc_norm_stderr": 0.04242424242424241 | |
| }, | |
| "community|alghafa:_average|0": { | |
| "acc_norm": 0.47419250061462226, | |
| "acc_norm_stderr": 0.02279707005957172 | |
| }, | |
| "community|arabic_mmlu:_average|0": { | |
| "acc_norm": 0.5225257183655623, | |
| "acc_norm_stderr": 0.036757618704136304 | |
| }, | |
| "community|arabic_mmlu_ht:_average|0": { | |
| "acc_norm": 0.4032673200886011, | |
| "acc_norm_stderr": 0.032889701188178425 | |
| }, | |
| "community|madinah_qa:_average|0": { | |
| "acc_norm": 0.37576998836064107, | |
| "acc_norm_stderr": 0.022407077325045367 | |
| }, | |
| "community|aratrust:_average|0": { | |
| "acc_norm": 0.8067993068334484, | |
| "acc_norm_stderr": 0.045361759584688265 | |
| }, | |
| "all": { | |
| "acc_norm": 0.4765605210366322, | |
| "acc_norm_stderr": 0.03400880235868754, | |
| "llm_as_judge": 0.7736942070275339, | |
| "llm_as_judge_stderr": 9.85322699325955e-05 | |
| }, | |
| "community|alrage_qa|0": { | |
| "llm_as_judge": 0.7736942070275339, | |
| "llm_as_judge_stderr": 9.85322699325955e-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": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 60, | |
| "effective_num_docs": 60, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Illegal": { | |
| "name": "aratrust:Illegal", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Illegal", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 53, | |
| "effective_num_docs": 53, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:MentalHealth": { | |
| "name": "aratrust:MentalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "MentalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 76, | |
| "effective_num_docs": 76, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Offensive": { | |
| "name": "aratrust:Offensive", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Offensive", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 69, | |
| "effective_num_docs": 69, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth": { | |
| "name": "aratrust:PhysicalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "PhysicalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 73, | |
| "effective_num_docs": 73, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Privacy": { | |
| "name": "aratrust:Privacy", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Privacy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Trustfulness": { | |
| "name": "aratrust:Trustfulness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Trustfulness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 78, | |
| "effective_num_docs": 78, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Unfairness": { | |
| "name": "aratrust:Unfairness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Unfairness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 55, | |
| "effective_num_docs": 55, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)": { | |
| "name": "madinah_qa:Arabic Language (General)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)": { | |
| "name": "madinah_qa:Arabic Language (Grammar)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alrage_qa": { | |
| "name": "alrage_qa", | |
| "prompt_function": "qa_prompt_arabic", | |
| "hf_repo": "OALL/ALRAGE", | |
| "hf_subset": null, | |
| "metric": [ | |
| { | |
| "metric_name": "llm_as_judge", | |
| "higher_is_better": true, | |
| "category": "7", | |
| "use_case": "10", | |
| "sample_level_fn": "_sample_level_fn", | |
| "corpus_level_fn": "aggregate_scores" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": 200, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2106, | |
| "effective_num_docs": 2106, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| } | |
| }, | |
| "summary_tasks": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "hashes": { | |
| "hash_examples": "c07a5e78c5c0b8fe", | |
| "hash_full_prompts": "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": "25bf94d05f737b63", | |
| "hash_full_prompts": "5c56043c8155627b", | |
| "hash_input_tokens": "449ebe5b21f264e0", | |
| "hash_cont_tokens": "05d3f2bc980e6cbb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2394, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "e65fe4df843f4380", | |
| "hash_full_prompts": "454a1d8530051200", | |
| "hash_input_tokens": "9744219e87e67cbb", | |
| "hash_cont_tokens": "ac1327c8a93a78f2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1581, | |
| "non_padded": 7, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "hashes": { | |
| "hash_examples": "5d32da36271c5eb4", | |
| "hash_full_prompts": "641aaa5a1d0a82cc", | |
| "hash_input_tokens": "41df0d7a53dafddf", | |
| "hash_cont_tokens": "67fe5dc315ef723c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 60, | |
| "padded": 180, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "hashes": { | |
| "hash_examples": "0c07f1f100f2d0e8", | |
| "hash_full_prompts": "9afdf7b67139ac4b", | |
| "hash_input_tokens": "078a38959544128f", | |
| "hash_cont_tokens": "2cc82a58b4d87abc" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 53, | |
| "padded": 159, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "8e5fc5c4704bd96b", | |
| "hash_full_prompts": "e1e262c050abe215", | |
| "hash_input_tokens": "1413fffc8d02a4d4", | |
| "hash_cont_tokens": "7b399d0f0a9124f1" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 76, | |
| "padded": 228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "hashes": { | |
| "hash_examples": "5ad4369b7dc5de46", | |
| "hash_full_prompts": "783eb34b50ddc3dc", | |
| "hash_input_tokens": "28abef033a0e7e22", | |
| "hash_cont_tokens": "0cd5015bc3370adf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 69, | |
| "padded": 207, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "dc2a632e2dcc86db", | |
| "hash_full_prompts": "8368558e325841b5", | |
| "hash_input_tokens": "d286528877a50694", | |
| "hash_cont_tokens": "cb8655dcad91858d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 73, | |
| "padded": 210, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "hashes": { | |
| "hash_examples": "295e35448a39e003", | |
| "hash_full_prompts": "099b63b7ccb2c9a9", | |
| "hash_input_tokens": "ebd5ae9b68922b08", | |
| "hash_cont_tokens": "7f23416c661e2ee5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 162, | |
| "non_padded": 9, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "hashes": { | |
| "hash_examples": "e79ac1ea5439e623", | |
| "hash_full_prompts": "fc6808c8672c7adf", | |
| "hash_input_tokens": "f1e2ab1163d7c1e0", | |
| "hash_cont_tokens": "ff874dba360c1ede" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 78, | |
| "padded": 228, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "hashes": { | |
| "hash_examples": "4ac5dccbfbdc5077", | |
| "hash_full_prompts": "74179b05a376e621", | |
| "hash_input_tokens": "5a105432971a1665", | |
| "hash_cont_tokens": "3e990fe3a474dbc5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 55, | |
| "padded": 159, | |
| "non_padded": 6, | |
| "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": "a3dc62e51f393dcb" | |
| }, | |
| "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": "72d7f21bfd94d8ab" | |
| }, | |
| "truncated": 324, | |
| "non_truncated": 91538, | |
| "padded": 333440, | |
| "non_padded": 3444, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |