| { | |
| "config_general": { | |
| "lighteval_sha": "?", | |
| "num_fewshot_seeds": 1, | |
| "override_batch_size": 1, | |
| "max_samples": null, | |
| "job_id": 0, | |
| "start_time": 720.837081435, | |
| "end_time": 9380.405902124, | |
| "total_evaluation_time_secondes": "8659.568820688999", | |
| "model_name": "01-ai/Yi-1.5-9B", | |
| "model_sha": "80d5471b1eae28beae33e06eadbd4b48e74d4ce1", | |
| "model_dtype": "torch.bfloat16", | |
| "model_size": "16.45 GB" | |
| }, | |
| "results": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "acc_norm": 0.28186714542190305, | |
| "acc_norm_stderr": 0.01908038927675581 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "acc_norm": 0.27710843373493976, | |
| "acc_norm_stderr": 0.006094049531305961 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "acc_norm": 0.3094972067039106, | |
| "acc_norm_stderr": 0.015461169002371551 | |
| }, | |
| "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": 0.48, | |
| "acc_norm_stderr": 0.04092881363092387 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "acc_norm": 0.38, | |
| "acc_norm_stderr": 0.039764406869602295 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "acc_norm": 0.6241400875547217, | |
| "acc_norm_stderr": 0.00541716384105181 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "acc_norm": 0.4190158465387823, | |
| "acc_norm_stderr": 0.00637292779576649 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "acc_norm": 0.34244186046511627, | |
| "acc_norm_stderr": 0.011445178348395785 | |
| }, | |
| "community|arabic_exams|0": { | |
| "acc_norm": 0.2756052141527002, | |
| "acc_norm_stderr": 0.01929962976621455 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "acc_norm": 0.3783783783783784, | |
| "acc_norm_stderr": 0.05676292697547983 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "acc_norm": 0.4019607843137255, | |
| "acc_norm_stderr": 0.019835176484375387 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.3095890410958904, | |
| "acc_norm_stderr": 0.024232372472164622 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "acc_norm": 0.28717948717948716, | |
| "acc_norm_stderr": 0.022939925418530627 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "acc_norm": 0.4074074074074074, | |
| "acc_norm_stderr": 0.09636202008710973 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "acc_norm": 0.25, | |
| "acc_norm_stderr": 0.027331519390462633 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "acc_norm": 0.3569907735982967, | |
| "acc_norm_stderr": 0.012768379165286142 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "acc_norm": 0.367816091954023, | |
| "acc_norm_stderr": 0.05199814559011102 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "acc_norm": 0.2796610169491525, | |
| "acc_norm_stderr": 0.029278612668280996 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "acc_norm": 0.3524904214559387, | |
| "acc_norm_stderr": 0.029628528627097653 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "acc_norm": 0.3333333333333333, | |
| "acc_norm_stderr": 0.09245003270420483 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "acc_norm": 0.4, | |
| "acc_norm_stderr": 0.03563483225498986 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "acc_norm": 0.4375, | |
| "acc_norm_stderr": 0.0625 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "acc_norm": 0.3938893476465731, | |
| "acc_norm_stderr": 0.014046573343411682 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "acc_norm": 0.3611111111111111, | |
| "acc_norm_stderr": 0.025350461448729787 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "acc_norm": 0.45977011494252873, | |
| "acc_norm_stderr": 0.05374158196365769 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "acc_norm": 0.40145985401459855, | |
| "acc_norm_stderr": 0.04203376090830894 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "acc_norm": 0.30671296296296297, | |
| "acc_norm_stderr": 0.015697019862904154 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "acc_norm": 0.4011627906976744, | |
| "acc_norm_stderr": 0.03748147347872575 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "acc_norm": 0.4567901234567901, | |
| "acc_norm_stderr": 0.03925809696671448 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "acc_norm": 0.29672447013487474, | |
| "acc_norm_stderr": 0.014185676661047279 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "acc_norm": 0.45588235294117646, | |
| "acc_norm_stderr": 0.030254372573976677 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "acc_norm": 0.40350877192982454, | |
| "acc_norm_stderr": 0.06555933012294897 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "acc_norm": 0.26710526315789473, | |
| "acc_norm_stderr": 0.01605983711982197 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "acc_norm": 0.3694581280788177, | |
| "acc_norm_stderr": 0.03395970381998574 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "acc_norm": 0.2549019607843137, | |
| "acc_norm_stderr": 0.043364327079931785 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "acc_norm": 0.23630672926447574, | |
| "acc_norm_stderr": 0.01681849719545358 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "acc_norm": 0.40119760479041916, | |
| "acc_norm_stderr": 0.02685955501862139 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "acc_norm": 0.38235294117647056, | |
| "acc_norm_stderr": 0.031566630992154156 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "acc_norm": 0.36936936936936937, | |
| "acc_norm_stderr": 0.015277514301335013 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "acc_norm": 0.6910828025477707, | |
| "acc_norm_stderr": 0.026116436415099382 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "acc_norm": 0.5466666666666666, | |
| "acc_norm_stderr": 0.05787010410349153 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "acc_norm": 0.3569682151589242, | |
| "acc_norm_stderr": 0.023719247816351017 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "acc_norm": 0.35537190082644626, | |
| "acc_norm_stderr": 0.03083100186591067 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "acc_norm": 0.3898809523809524, | |
| "acc_norm_stderr": 0.0266471580267 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "acc_norm": 0.358974358974359, | |
| "acc_norm_stderr": 0.07781756136754925 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "acc_norm": 0.3058823529411765, | |
| "acc_norm_stderr": 0.028911917488053433 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "acc_norm": 0.3904761904761905, | |
| "acc_norm_stderr": 0.03374578018258081 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "acc_norm": 0.3900414937759336, | |
| "acc_norm_stderr": 0.031484726913019054 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "acc_norm": 0.425531914893617, | |
| "acc_norm_stderr": 0.018634283237908812 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "acc_norm": 0.36, | |
| "acc_norm_stderr": 0.04824181513244218 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "acc_norm": 0.2962962962962963, | |
| "acc_norm_stderr": 0.03944624162501116 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "acc_norm": 0.29605263157894735, | |
| "acc_norm_stderr": 0.03715062154998904 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "acc_norm": 0.38, | |
| "acc_norm_stderr": 0.04878317312145633 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "acc_norm": 0.30943396226415093, | |
| "acc_norm_stderr": 0.028450154794118627 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "acc_norm": 0.2777777777777778, | |
| "acc_norm_stderr": 0.03745554791462457 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "acc_norm": 0.2, | |
| "acc_norm_stderr": 0.04020151261036846 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "acc_norm": 0.24, | |
| "acc_norm_stderr": 0.04292346959909281 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "acc_norm": 0.3, | |
| "acc_norm_stderr": 0.046056618647183814 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "acc_norm": 0.2774566473988439, | |
| "acc_norm_stderr": 0.034140140070440354 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "acc_norm": 0.21568627450980393, | |
| "acc_norm_stderr": 0.04092563958237655 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "acc_norm": 0.45, | |
| "acc_norm_stderr": 0.04999999999999999 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "acc_norm": 0.3276595744680851, | |
| "acc_norm_stderr": 0.03068302084323101 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "acc_norm": 0.2719298245614035, | |
| "acc_norm_stderr": 0.041857744240220575 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "acc_norm": 0.3586206896551724, | |
| "acc_norm_stderr": 0.03996629574876719 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "acc_norm": 0.328042328042328, | |
| "acc_norm_stderr": 0.024180497164376896 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "acc_norm": 0.31746031746031744, | |
| "acc_norm_stderr": 0.0416345303130286 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "acc_norm": 0.28, | |
| "acc_norm_stderr": 0.045126085985421276 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "acc_norm": 0.32126934172567534, | |
| "acc_norm_stderr": 0.007563223407992823 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "acc_norm": 0.31822709163346613, | |
| "acc_norm_stderr": 0.007350987256472907 | |
| }, | |
| "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": 0.2968596663395486, | |
| "acc_norm_stderr": 0.0050604735156129345 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "acc_norm": 0.2828282828282828, | |
| "acc_norm_stderr": 0.03208779558786751 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "acc_norm": 0.24870466321243523, | |
| "acc_norm_stderr": 0.031195840877700304 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "acc_norm": 0.32756831546177795, | |
| "acc_norm_stderr": 0.008730238469005929 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "acc_norm": 0.2777777777777778, | |
| "acc_norm_stderr": 0.027309140588230182 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "acc_norm": 0.31932773109243695, | |
| "acc_norm_stderr": 0.0302839955258844 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "acc_norm": 0.271523178807947, | |
| "acc_norm_stderr": 0.036313298039696545 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "acc_norm": 0.29357798165137616, | |
| "acc_norm_stderr": 0.019525151122639667 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "acc_norm": 0.31474480151228734, | |
| "acc_norm_stderr": 0.007139765363962711 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "acc_norm": 0.3235294117647059, | |
| "acc_norm_stderr": 0.03283472056108567 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "acc_norm": 0.35443037974683544, | |
| "acc_norm_stderr": 0.031137304297185805 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "acc_norm": 0.3452914798206278, | |
| "acc_norm_stderr": 0.03191100192835794 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "acc_norm": 0.3282442748091603, | |
| "acc_norm_stderr": 0.04118438565806297 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "acc_norm": 0.4214876033057851, | |
| "acc_norm_stderr": 0.045077322787750944 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "acc_norm": 0.3333333333333333, | |
| "acc_norm_stderr": 0.04557239513497752 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "acc_norm": 0.34355828220858897, | |
| "acc_norm_stderr": 0.03731133519673893 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "acc_norm": 0.2767857142857143, | |
| "acc_norm_stderr": 0.04246624336697624 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "acc_norm": 0.2912621359223301, | |
| "acc_norm_stderr": 0.044986763205729224 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "acc_norm": 0.405982905982906, | |
| "acc_norm_stderr": 0.03217180182641087 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "acc_norm": 0.31, | |
| "acc_norm_stderr": 0.04648231987117316 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "acc_norm": 0.3347107438016529, | |
| "acc_norm_stderr": 0.009594495583856142 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "acc_norm": 0.3439306358381503, | |
| "acc_norm_stderr": 0.02557412378654665 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "acc_norm": 0.2424581005586592, | |
| "acc_norm_stderr": 0.01433352205921789 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "acc_norm": 0.3104575163398693, | |
| "acc_norm_stderr": 0.026493033225145894 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "acc_norm": 0.29260450160771706, | |
| "acc_norm_stderr": 0.025839898334877983 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "acc_norm": 0.32098765432098764, | |
| "acc_norm_stderr": 0.025976566010862744 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "acc_norm": 0.31103234381922906, | |
| "acc_norm_stderr": 0.006890798125569068 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "acc_norm": 0.2961061725303618, | |
| "acc_norm_stderr": 0.0051087265332822865 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "acc_norm": 0.32070861331704337, | |
| "acc_norm_stderr": 0.011539625540585605 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "acc_norm": 0.321153297173851, | |
| "acc_norm_stderr": 0.0078901267179571 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "acc_norm": 0.3181818181818182, | |
| "acc_norm_stderr": 0.04461272175910508 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "acc_norm": 0.24489795918367346, | |
| "acc_norm_stderr": 0.02752963744017492 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "acc_norm": 0.3283582089552239, | |
| "acc_norm_stderr": 0.03320685889744325 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "acc_norm": 0.39, | |
| "acc_norm_stderr": 0.04902071300001975 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "acc_norm": 0.3855421686746988, | |
| "acc_norm_stderr": 0.037891344246115496 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "acc_norm": 0.2982456140350877, | |
| "acc_norm_stderr": 0.03508771929824563 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "acc_norm": 0.315359477124183, | |
| "acc_norm_stderr": 0.018798086284886883 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "acc_norm": 0.2958904109589041, | |
| "acc_norm_stderr": 0.02392406001124469 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "acc_norm": 0.5, | |
| "acc_norm_stderr": 0.06509445549041193 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "acc_norm": 0.5283018867924528, | |
| "acc_norm_stderr": 0.06922635714201346 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "acc_norm": 0.6578947368421053, | |
| "acc_norm_stderr": 0.054780684196477164 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "acc_norm": 0.7391304347826086, | |
| "acc_norm_stderr": 0.053249777017025594 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "acc_norm": 0.5616438356164384, | |
| "acc_norm_stderr": 0.058476020433176665 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "acc_norm": 0.7543859649122807, | |
| "acc_norm_stderr": 0.057521390564052664 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "acc_norm": 0.3974358974358974, | |
| "acc_norm_stderr": 0.055768608782381664 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "acc_norm": 0.509090909090909, | |
| "acc_norm_stderr": 0.06803013430498075 | |
| }, | |
| "community|alghafa:_average|0": { | |
| "acc_norm": 0.403785620046597, | |
| "acc_norm_stderr": 0.022515711110896546 | |
| }, | |
| "community|arabic_mmlu:_average|0": { | |
| "acc_norm": 0.37477218701918874, | |
| "acc_norm_stderr": 0.035975377552812146 | |
| }, | |
| "community|arabic_mmlu_ht:_average|0": { | |
| "acc_norm": 0.31442291272937106, | |
| "acc_norm_stderr": 0.03150933652280809 | |
| }, | |
| "community|madinah_qa:_average|0": { | |
| "acc_norm": 0.30562494404154356, | |
| "acc_norm_stderr": 0.021361073148065787 | |
| }, | |
| "community|aratrust:_average|0": { | |
| "acc_norm": 0.5809854581840865, | |
| "acc_norm_stderr": 0.06026842849131499 | |
| }, | |
| "all": { | |
| "acc_norm": 0.3596735286706799, | |
| "acc_norm_stderr": 0.03403297340088445, | |
| "llm_as_judge": 0.7272554605887921, | |
| "llm_as_judge_stderr": 0.00021894919786254213 | |
| }, | |
| "community|alrage_qa|0": { | |
| "llm_as_judge": 0.7272554605887921, | |
| "llm_as_judge_stderr": 0.00021894919786254213 | |
| } | |
| }, | |
| "versions": { | |
| "community|alghafa:mcq_exams_test_ar|0": 0, | |
| "community|alghafa:meta_ar_dialects|0": 0, | |
| "community|alghafa:meta_ar_msa|0": 0, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": 0, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": 0, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": 0, | |
| "community|alghafa:multiple_choice_sentiment_task|0": 0, | |
| "community|arabic_exams|0": 0, | |
| "community|arabic_mmlu:Accounting (University)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (General)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": 0, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": 0, | |
| "community|arabic_mmlu:Biology (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (High School)|0": 0, | |
| "community|arabic_mmlu:Civics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (High School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Computer Science (University)|0": 0, | |
| "community|arabic_mmlu:Driving Test|0": 0, | |
| "community|arabic_mmlu:Economics (High School)|0": 0, | |
| "community|arabic_mmlu:Economics (Middle School)|0": 0, | |
| "community|arabic_mmlu:Economics (University)|0": 0, | |
| "community|arabic_mmlu:General Knowledge|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": 0, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": 0, | |
| "community|arabic_mmlu:Geography (High School)|0": 0, | |
| "community|arabic_mmlu:Geography (Middle School)|0": 0, | |
| "community|arabic_mmlu:Geography (Primary School)|0": 0, | |
| "community|arabic_mmlu:History (High School)|0": 0, | |
| "community|arabic_mmlu:History (Middle School)|0": 0, | |
| "community|arabic_mmlu:History (Primary School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": 0, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": 0, | |
| "community|arabic_mmlu:Law (Professional)|0": 0, | |
| "community|arabic_mmlu:Management (University)|0": 0, | |
| "community|arabic_mmlu:Math (Primary School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": 0, | |
| "community|arabic_mmlu:Philosophy (High School)|0": 0, | |
| "community|arabic_mmlu:Physics (High School)|0": 0, | |
| "community|arabic_mmlu:Political Science (University)|0": 0, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": 0, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": 0, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": 0, | |
| "community|arabic_mmlu_ht:anatomy|0": 0, | |
| "community|arabic_mmlu_ht:astronomy|0": 0, | |
| "community|arabic_mmlu_ht:business_ethics|0": 0, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": 0, | |
| "community|arabic_mmlu_ht:college_biology|0": 0, | |
| "community|arabic_mmlu_ht:college_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:college_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:college_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:college_medicine|0": 0, | |
| "community|arabic_mmlu_ht:college_physics|0": 0, | |
| "community|arabic_mmlu_ht:computer_security|0": 0, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": 0, | |
| "community|arabic_mmlu_ht:econometrics|0": 0, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": 0, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:formal_logic|0": 0, | |
| "community|arabic_mmlu_ht:global_facts|0": 0, | |
| "community|arabic_mmlu_ht:high_school_biology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": 0, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": 0, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_geography|0": 0, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_physics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": 0, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": 0, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": 0, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": 0, | |
| "community|arabic_mmlu_ht:human_aging|0": 0, | |
| "community|arabic_mmlu_ht:human_sexuality|0": 0, | |
| "community|arabic_mmlu_ht:international_law|0": 0, | |
| "community|arabic_mmlu_ht:jurisprudence|0": 0, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": 0, | |
| "community|arabic_mmlu_ht:machine_learning|0": 0, | |
| "community|arabic_mmlu_ht:management|0": 0, | |
| "community|arabic_mmlu_ht:marketing|0": 0, | |
| "community|arabic_mmlu_ht:medical_genetics|0": 0, | |
| "community|arabic_mmlu_ht:miscellaneous|0": 0, | |
| "community|arabic_mmlu_ht:moral_disputes|0": 0, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": 0, | |
| "community|arabic_mmlu_ht:nutrition|0": 0, | |
| "community|arabic_mmlu_ht:philosophy|0": 0, | |
| "community|arabic_mmlu_ht:prehistory|0": 0, | |
| "community|arabic_mmlu_ht:professional_accounting|0": 0, | |
| "community|arabic_mmlu_ht:professional_law|0": 0, | |
| "community|arabic_mmlu_ht:professional_medicine|0": 0, | |
| "community|arabic_mmlu_ht:professional_psychology|0": 0, | |
| "community|arabic_mmlu_ht:public_relations|0": 0, | |
| "community|arabic_mmlu_ht:security_studies|0": 0, | |
| "community|arabic_mmlu_ht:sociology|0": 0, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": 0, | |
| "community|arabic_mmlu_ht:virology|0": 0, | |
| "community|arabic_mmlu_ht:world_religions|0": 0, | |
| "community|aratrust:Ethics|0": 0, | |
| "community|aratrust:Illegal|0": 0, | |
| "community|aratrust:MentalHealth|0": 0, | |
| "community|aratrust:Offensive|0": 0, | |
| "community|aratrust:PhysicalHealth|0": 0, | |
| "community|aratrust:Privacy|0": 0, | |
| "community|aratrust:Trustfulness|0": 0, | |
| "community|aratrust:Unfairness|0": 0, | |
| "community|madinah_qa:Arabic Language (General)|0": 0, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": 0, | |
| "community|alrage_qa|0": 0 | |
| }, | |
| "config_tasks": { | |
| "community|alghafa:mcq_exams_test_ar": { | |
| "name": "alghafa:mcq_exams_test_ar", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "mcq_exams_test_ar", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 557, | |
| "effective_num_docs": 557, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects": { | |
| "name": "alghafa:meta_ar_dialects", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_dialects", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5395, | |
| "effective_num_docs": 5395, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa": { | |
| "name": "alghafa:meta_ar_msa", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "meta_ar_msa", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task": { | |
| "name": "alghafa:multiple_choice_facts_truefalse_balanced_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_facts_truefalse_balanced_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_soqal_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_soqal_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task": { | |
| "name": "alghafa:multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_grounded_statement_xglue_mlqa_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 150, | |
| "effective_num_docs": 150, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_no_neutral_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_no_neutral_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7995, | |
| "effective_num_docs": 7995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task": { | |
| "name": "alghafa:multiple_choice_rating_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_rating_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 5995, | |
| "effective_num_docs": 5995, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task": { | |
| "name": "alghafa:multiple_choice_sentiment_task", | |
| "prompt_function": "alghafa_pfn", | |
| "hf_repo": "OALL/AlGhafa-Arabic-LLM-Benchmark-Native", | |
| "hf_subset": "multiple_choice_sentiment_task", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1720, | |
| "effective_num_docs": 1720, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_exams": { | |
| "name": "arabic_exams", | |
| "prompt_function": "arabic_exams_pfn", | |
| "hf_repo": "OALL/Arabic_EXAMS", | |
| "hf_subset": "default", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test", | |
| "validation" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": "validation", | |
| "few_shots_select": "sequential", | |
| "generation_size": null, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 537, | |
| "effective_num_docs": 537, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)": { | |
| "name": "arabic_mmlu:Accounting (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Accounting (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 74, | |
| "effective_num_docs": 74, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)": { | |
| "name": "arabic_mmlu:Arabic Language (General)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)": { | |
| "name": "arabic_mmlu:Arabic Language (Grammar)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)": { | |
| "name": "arabic_mmlu:Arabic Language (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 390, | |
| "effective_num_docs": 390, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)": { | |
| "name": "arabic_mmlu:Arabic Language (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)": { | |
| "name": "arabic_mmlu:Arabic Language (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Arabic Language (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 252, | |
| "effective_num_docs": 252, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)": { | |
| "name": "arabic_mmlu:Biology (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Biology (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1409, | |
| "effective_num_docs": 1409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)": { | |
| "name": "arabic_mmlu:Civics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)": { | |
| "name": "arabic_mmlu:Civics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Civics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 236, | |
| "effective_num_docs": 236, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)": { | |
| "name": "arabic_mmlu:Computer Science (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 261, | |
| "effective_num_docs": 261, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)": { | |
| "name": "arabic_mmlu:Computer Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 27, | |
| "effective_num_docs": 27, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)": { | |
| "name": "arabic_mmlu:Computer Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 190, | |
| "effective_num_docs": 190, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)": { | |
| "name": "arabic_mmlu:Computer Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Computer Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 64, | |
| "effective_num_docs": 64, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test": { | |
| "name": "arabic_mmlu:Driving Test", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Driving Test", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1211, | |
| "effective_num_docs": 1211, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)": { | |
| "name": "arabic_mmlu:Economics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 360, | |
| "effective_num_docs": 360, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)": { | |
| "name": "arabic_mmlu:Economics (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 87, | |
| "effective_num_docs": 87, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)": { | |
| "name": "arabic_mmlu:Economics (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Economics (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 137, | |
| "effective_num_docs": 137, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge": { | |
| "name": "arabic_mmlu:General Knowledge", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 864, | |
| "effective_num_docs": 864, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)": { | |
| "name": "arabic_mmlu:General Knowledge (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 172, | |
| "effective_num_docs": 172, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)": { | |
| "name": "arabic_mmlu:General Knowledge (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "General Knowledge (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 162, | |
| "effective_num_docs": 162, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)": { | |
| "name": "arabic_mmlu:Geography (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1038, | |
| "effective_num_docs": 1038, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)": { | |
| "name": "arabic_mmlu:Geography (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 272, | |
| "effective_num_docs": 272, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)": { | |
| "name": "arabic_mmlu:Geography (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Geography (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)": { | |
| "name": "arabic_mmlu:History (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 760, | |
| "effective_num_docs": 760, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)": { | |
| "name": "arabic_mmlu:History (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 203, | |
| "effective_num_docs": 203, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)": { | |
| "name": "arabic_mmlu:History (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "History (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies": { | |
| "name": "arabic_mmlu:Islamic Studies", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 639, | |
| "effective_num_docs": 639, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)": { | |
| "name": "arabic_mmlu:Islamic Studies (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 334, | |
| "effective_num_docs": 334, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)": { | |
| "name": "arabic_mmlu:Islamic Studies (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Islamic Studies (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 999, | |
| "effective_num_docs": 999, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)": { | |
| "name": "arabic_mmlu:Law (Professional)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Law (Professional)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 314, | |
| "effective_num_docs": 314, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)": { | |
| "name": "arabic_mmlu:Management (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Management (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 75, | |
| "effective_num_docs": 75, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)": { | |
| "name": "arabic_mmlu:Math (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Math (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 409, | |
| "effective_num_docs": 409, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)": { | |
| "name": "arabic_mmlu:Natural Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 242, | |
| "effective_num_docs": 242, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)": { | |
| "name": "arabic_mmlu:Natural Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Natural Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 336, | |
| "effective_num_docs": 336, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)": { | |
| "name": "arabic_mmlu:Philosophy (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Philosophy (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 39, | |
| "effective_num_docs": 39, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)": { | |
| "name": "arabic_mmlu:Physics (High School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Physics (High School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 255, | |
| "effective_num_docs": 255, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)": { | |
| "name": "arabic_mmlu:Political Science (University)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Political Science (University)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 210, | |
| "effective_num_docs": 210, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)": { | |
| "name": "arabic_mmlu:Social Science (Middle School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Middle School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 241, | |
| "effective_num_docs": 241, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)": { | |
| "name": "arabic_mmlu:Social Science (Primary School)", | |
| "prompt_function": "arabic_mmlu_pfn", | |
| "hf_repo": "MBZUAI/ArabicMMLU", | |
| "hf_subset": "Social Science (Primary School)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 705, | |
| "effective_num_docs": 705, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra": { | |
| "name": "arabic_mmlu_ht:abstract_algebra", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "abstract_algebra", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy": { | |
| "name": "arabic_mmlu_ht:anatomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "anatomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 135, | |
| "effective_num_docs": 135, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy": { | |
| "name": "arabic_mmlu_ht:astronomy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "astronomy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 152, | |
| "effective_num_docs": 152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics": { | |
| "name": "arabic_mmlu_ht:business_ethics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "business_ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge": { | |
| "name": "arabic_mmlu_ht:clinical_knowledge", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "clinical_knowledge", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 265, | |
| "effective_num_docs": 265, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology": { | |
| "name": "arabic_mmlu_ht:college_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 144, | |
| "effective_num_docs": 144, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry": { | |
| "name": "arabic_mmlu_ht:college_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science": { | |
| "name": "arabic_mmlu_ht:college_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics": { | |
| "name": "arabic_mmlu_ht:college_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine": { | |
| "name": "arabic_mmlu_ht:college_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 173, | |
| "effective_num_docs": 173, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics": { | |
| "name": "arabic_mmlu_ht:college_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "college_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 102, | |
| "effective_num_docs": 102, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security": { | |
| "name": "arabic_mmlu_ht:computer_security", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "computer_security", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics": { | |
| "name": "arabic_mmlu_ht:conceptual_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "conceptual_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 235, | |
| "effective_num_docs": 235, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics": { | |
| "name": "arabic_mmlu_ht:econometrics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "econometrics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 114, | |
| "effective_num_docs": 114, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering": { | |
| "name": "arabic_mmlu_ht:electrical_engineering", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "electrical_engineering", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 145, | |
| "effective_num_docs": 145, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics": { | |
| "name": "arabic_mmlu_ht:elementary_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "elementary_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 378, | |
| "effective_num_docs": 378, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic": { | |
| "name": "arabic_mmlu_ht:formal_logic", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "formal_logic", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 126, | |
| "effective_num_docs": 126, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts": { | |
| "name": "arabic_mmlu_ht:global_facts", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "global_facts", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology": { | |
| "name": "arabic_mmlu_ht:high_school_biology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_biology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3813, | |
| "effective_num_docs": 3813, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry": { | |
| "name": "arabic_mmlu_ht:high_school_chemistry", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_chemistry", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4016, | |
| "effective_num_docs": 4016, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science": { | |
| "name": "arabic_mmlu_ht:high_school_computer_science", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_computer_science", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history": { | |
| "name": "arabic_mmlu_ht:high_school_european_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_european_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 8152, | |
| "effective_num_docs": 8152, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography": { | |
| "name": "arabic_mmlu_ht:high_school_geography", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_geography", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 198, | |
| "effective_num_docs": 198, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics": { | |
| "name": "arabic_mmlu_ht:high_school_government_and_politics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_government_and_politics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 193, | |
| "effective_num_docs": 193, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_macroeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_macroeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2891, | |
| "effective_num_docs": 2891, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics": { | |
| "name": "arabic_mmlu_ht:high_school_mathematics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_mathematics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 270, | |
| "effective_num_docs": 270, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics": { | |
| "name": "arabic_mmlu_ht:high_school_microeconomics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_microeconomics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 238, | |
| "effective_num_docs": 238, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics": { | |
| "name": "arabic_mmlu_ht:high_school_physics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_physics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 151, | |
| "effective_num_docs": 151, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology": { | |
| "name": "arabic_mmlu_ht:high_school_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 545, | |
| "effective_num_docs": 545, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics": { | |
| "name": "arabic_mmlu_ht:high_school_statistics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_statistics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4232, | |
| "effective_num_docs": 4232, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history": { | |
| "name": "arabic_mmlu_ht:high_school_us_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_us_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 204, | |
| "effective_num_docs": 204, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history": { | |
| "name": "arabic_mmlu_ht:high_school_world_history", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "high_school_world_history", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 237, | |
| "effective_num_docs": 237, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging": { | |
| "name": "arabic_mmlu_ht:human_aging", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_aging", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 223, | |
| "effective_num_docs": 223, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality": { | |
| "name": "arabic_mmlu_ht:human_sexuality", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "human_sexuality", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 131, | |
| "effective_num_docs": 131, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law": { | |
| "name": "arabic_mmlu_ht:international_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "international_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 121, | |
| "effective_num_docs": 121, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence": { | |
| "name": "arabic_mmlu_ht:jurisprudence", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "jurisprudence", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 108, | |
| "effective_num_docs": 108, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies": { | |
| "name": "arabic_mmlu_ht:logical_fallacies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "logical_fallacies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 163, | |
| "effective_num_docs": 163, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning": { | |
| "name": "arabic_mmlu_ht:machine_learning", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "machine_learning", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 112, | |
| "effective_num_docs": 112, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management": { | |
| "name": "arabic_mmlu_ht:management", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "management", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 103, | |
| "effective_num_docs": 103, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing": { | |
| "name": "arabic_mmlu_ht:marketing", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "marketing", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 234, | |
| "effective_num_docs": 234, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics": { | |
| "name": "arabic_mmlu_ht:medical_genetics", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "medical_genetics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous": { | |
| "name": "arabic_mmlu_ht:miscellaneous", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "miscellaneous", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2420, | |
| "effective_num_docs": 2420, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes": { | |
| "name": "arabic_mmlu_ht:moral_disputes", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_disputes", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 346, | |
| "effective_num_docs": 346, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios": { | |
| "name": "arabic_mmlu_ht:moral_scenarios", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "moral_scenarios", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 895, | |
| "effective_num_docs": 895, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition": { | |
| "name": "arabic_mmlu_ht:nutrition", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "nutrition", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 306, | |
| "effective_num_docs": 306, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy": { | |
| "name": "arabic_mmlu_ht:philosophy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "philosophy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 311, | |
| "effective_num_docs": 311, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory": { | |
| "name": "arabic_mmlu_ht:prehistory", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "prehistory", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 324, | |
| "effective_num_docs": 324, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting": { | |
| "name": "arabic_mmlu_ht:professional_accounting", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_accounting", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 4514, | |
| "effective_num_docs": 4514, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law": { | |
| "name": "arabic_mmlu_ht:professional_law", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_law", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 7987, | |
| "effective_num_docs": 7987, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine": { | |
| "name": "arabic_mmlu_ht:professional_medicine", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_medicine", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 1637, | |
| "effective_num_docs": 1637, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology": { | |
| "name": "arabic_mmlu_ht:professional_psychology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "professional_psychology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 3503, | |
| "effective_num_docs": 3503, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations": { | |
| "name": "arabic_mmlu_ht:public_relations", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "public_relations", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 110, | |
| "effective_num_docs": 110, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies": { | |
| "name": "arabic_mmlu_ht:security_studies", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "security_studies", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 245, | |
| "effective_num_docs": 245, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology": { | |
| "name": "arabic_mmlu_ht:sociology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "sociology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 201, | |
| "effective_num_docs": 201, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy": { | |
| "name": "arabic_mmlu_ht:us_foreign_policy", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "us_foreign_policy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 100, | |
| "effective_num_docs": 100, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology": { | |
| "name": "arabic_mmlu_ht:virology", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "virology", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 166, | |
| "effective_num_docs": 166, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions": { | |
| "name": "arabic_mmlu_ht:world_religions", | |
| "prompt_function": "arabic_mmlu_ht_pfn", | |
| "hf_repo": "MBZUAI/human_translated_arabic_mmlu", | |
| "hf_subset": "world_religions", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 171, | |
| "effective_num_docs": 171, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Ethics": { | |
| "name": "aratrust:Ethics", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Ethics", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 60, | |
| "effective_num_docs": 60, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Illegal": { | |
| "name": "aratrust:Illegal", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Illegal", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 53, | |
| "effective_num_docs": 53, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:MentalHealth": { | |
| "name": "aratrust:MentalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "MentalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 76, | |
| "effective_num_docs": 76, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Offensive": { | |
| "name": "aratrust:Offensive", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Offensive", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 69, | |
| "effective_num_docs": 69, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth": { | |
| "name": "aratrust:PhysicalHealth", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "PhysicalHealth", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 73, | |
| "effective_num_docs": 73, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Privacy": { | |
| "name": "aratrust:Privacy", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Privacy", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 57, | |
| "effective_num_docs": 57, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Trustfulness": { | |
| "name": "aratrust:Trustfulness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Trustfulness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 78, | |
| "effective_num_docs": 78, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|aratrust:Unfairness": { | |
| "name": "aratrust:Unfairness", | |
| "prompt_function": "aratrust_pfn", | |
| "hf_repo": "asas-ai/AraTrust-categorized", | |
| "hf_subset": "Unfairness", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 55, | |
| "effective_num_docs": 55, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)": { | |
| "name": "madinah_qa:Arabic Language (General)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (General)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 612, | |
| "effective_num_docs": 612, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)": { | |
| "name": "madinah_qa:Arabic Language (Grammar)", | |
| "prompt_function": "madinah_qa_pfn", | |
| "hf_repo": "MBZUAI/MadinahQA", | |
| "hf_subset": "Arabic Language (Grammar)", | |
| "metric": [ | |
| { | |
| "metric_name": "acc_norm", | |
| "higher_is_better": true, | |
| "category": "8", | |
| "use_case": "1", | |
| "sample_level_fn": "compute", | |
| "corpus_level_fn": "mean" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "test" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "test" | |
| ], | |
| "few_shots_split": [ | |
| "dev" | |
| ], | |
| "few_shots_select": "sequential", | |
| "generation_size": -1, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 365, | |
| "effective_num_docs": 365, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| }, | |
| "community|alrage_qa": { | |
| "name": "alrage_qa", | |
| "prompt_function": "qa_prompt_arabic", | |
| "hf_repo": "OALL/ALRAGE", | |
| "hf_subset": null, | |
| "metric": [ | |
| { | |
| "metric_name": "llm_as_judge", | |
| "higher_is_better": true, | |
| "category": "7", | |
| "use_case": "10", | |
| "sample_level_fn": "_sample_level_fn", | |
| "corpus_level_fn": "aggregate_scores" | |
| } | |
| ], | |
| "hf_revision": null, | |
| "hf_filter": null, | |
| "hf_avail_splits": [ | |
| "train" | |
| ], | |
| "trust_dataset": true, | |
| "evaluation_splits": [ | |
| "train" | |
| ], | |
| "few_shots_split": null, | |
| "few_shots_select": null, | |
| "generation_size": 200, | |
| "generation_grammar": null, | |
| "stop_sequence": [], | |
| "num_samples": null, | |
| "suite": [ | |
| "community" | |
| ], | |
| "original_num_docs": 2106, | |
| "effective_num_docs": 2106, | |
| "must_remove_duplicate_docs": false, | |
| "version": 0 | |
| } | |
| }, | |
| "summary_tasks": { | |
| "community|alghafa:mcq_exams_test_ar|0": { | |
| "hashes": { | |
| "hash_examples": "c07a5e78c5c0b8fe", | |
| "hash_full_prompts": "c07a5e78c5c0b8fe", | |
| "hash_input_tokens": "10f6e15678caebe3", | |
| "hash_cont_tokens": "d625c55cecf56c98" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 557, | |
| "padded": 2228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_dialects|0": { | |
| "hashes": { | |
| "hash_examples": "c0b6081f83e14064", | |
| "hash_full_prompts": "c0b6081f83e14064", | |
| "hash_input_tokens": "e0472831c0e95b92", | |
| "hash_cont_tokens": "dc457b275d6de4e2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5395, | |
| "padded": 21580, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:meta_ar_msa|0": { | |
| "hashes": { | |
| "hash_examples": "64eb78a7c5b7484b", | |
| "hash_full_prompts": "64eb78a7c5b7484b", | |
| "hash_input_tokens": "b152f9f55e537af0", | |
| "hash_cont_tokens": "046b55645def694d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3580, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_facts_truefalse_balanced_task|0": { | |
| "hashes": { | |
| "hash_examples": "54fc3502c1c02c06", | |
| "hash_full_prompts": "54fc3502c1c02c06", | |
| "hash_input_tokens": "a69300b78a0409d9", | |
| "hash_cont_tokens": "21a564f3caaf138d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 75, | |
| "padded": 150, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_soqal_task|0": { | |
| "hashes": { | |
| "hash_examples": "46572d83696552ae", | |
| "hash_full_prompts": "46572d83696552ae", | |
| "hash_input_tokens": "b1e33760dec23d3e", | |
| "hash_cont_tokens": "fb98c023b6c1db18" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 750, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_grounded_statement_xglue_mlqa_task|0": { | |
| "hashes": { | |
| "hash_examples": "f430d97ff715bc1c", | |
| "hash_full_prompts": "f430d97ff715bc1c", | |
| "hash_input_tokens": "a0e103a198012bc1", | |
| "hash_cont_tokens": "0f0bc76437c61af7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 150, | |
| "padded": 750, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_no_neutral_task|0": { | |
| "hashes": { | |
| "hash_examples": "6b70a7416584f98c", | |
| "hash_full_prompts": "6b70a7416584f98c", | |
| "hash_input_tokens": "4c70042ef87f3af1", | |
| "hash_cont_tokens": "b0cc8cf11c102265" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7995, | |
| "padded": 15990, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_rating_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "bc2005cc9d2f436e", | |
| "hash_full_prompts": "bc2005cc9d2f436e", | |
| "hash_input_tokens": "adad0e3c7fb9e876", | |
| "hash_cont_tokens": "7c4c9000eafebe43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 5995, | |
| "padded": 17931, | |
| "non_padded": 54, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alghafa:multiple_choice_sentiment_task|0": { | |
| "hashes": { | |
| "hash_examples": "6fb0e254ea5945d8", | |
| "hash_full_prompts": "6fb0e254ea5945d8", | |
| "hash_input_tokens": "58fbcd103213676c", | |
| "hash_cont_tokens": "02aed8bf71d25cfb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1720, | |
| "padded": 5129, | |
| "non_padded": 31, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_exams|0": { | |
| "hashes": { | |
| "hash_examples": "6d721df351722656", | |
| "hash_full_prompts": "6d721df351722656", | |
| "hash_input_tokens": "f0267e5f796484c4", | |
| "hash_cont_tokens": "75d35d1d02a02179" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 537, | |
| "padded": 2142, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Accounting (University)|0": { | |
| "hashes": { | |
| "hash_examples": "30e09697562ff9e7", | |
| "hash_full_prompts": "30e09697562ff9e7", | |
| "hash_input_tokens": "abf305aa812a4c1d", | |
| "hash_cont_tokens": "2b0e025b6779fb4c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 74, | |
| "padded": 252, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "bef69fb8b3b75f28", | |
| "hash_input_tokens": "9a5454ea1b7c6e39", | |
| "hash_cont_tokens": "f9a66a4bb5e87f60" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2392, | |
| "non_padded": 11, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "bd066a9e6a140a4b", | |
| "hash_input_tokens": "ea6bb1f8bb061855", | |
| "hash_cont_tokens": "76367e3409abf9b5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1587, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "a9c2cd9a9929292a", | |
| "hash_full_prompts": "a9c2cd9a9929292a", | |
| "hash_input_tokens": "42f8c3217994ecbe", | |
| "hash_cont_tokens": "a7be93d10fbe0e2a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 390, | |
| "padded": 1525, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "2f8a77bbbd0e21ff", | |
| "hash_full_prompts": "2f8a77bbbd0e21ff", | |
| "hash_input_tokens": "858df648f4891472", | |
| "hash_cont_tokens": "33bdfa5938c88401" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 105, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Arabic Language (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5eed3da47822539b", | |
| "hash_full_prompts": "5eed3da47822539b", | |
| "hash_input_tokens": "6903374ce32c0ab8", | |
| "hash_cont_tokens": "9d36a8633cd9671b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 252, | |
| "padded": 926, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Biology (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "91ae6d22a0f0213d", | |
| "hash_full_prompts": "91ae6d22a0f0213d", | |
| "hash_input_tokens": "b6316c0f9ec0cd90", | |
| "hash_cont_tokens": "5b06cfd5d307d9b0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1409, | |
| "padded": 5042, | |
| "non_padded": 14, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "f27bf8791bea2bb9", | |
| "hash_full_prompts": "f27bf8791bea2bb9", | |
| "hash_input_tokens": "7c5d45cf83d5d7b5", | |
| "hash_cont_tokens": "de32e8cbc3ca66d5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 312, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Civics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "74f5bb0098c8916f", | |
| "hash_full_prompts": "74f5bb0098c8916f", | |
| "hash_input_tokens": "28b4c0b430767149", | |
| "hash_cont_tokens": "298ae202709c2f3d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 236, | |
| "padded": 932, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "a4278d7b525d46fe", | |
| "hash_full_prompts": "a4278d7b525d46fe", | |
| "hash_input_tokens": "5a3849fda2f20600", | |
| "hash_cont_tokens": "689af2e3820c8afb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 261, | |
| "padded": 1002, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "0cb6c07e4b80dfd4", | |
| "hash_full_prompts": "0cb6c07e4b80dfd4", | |
| "hash_input_tokens": "2b3c65a2fbcb3b53", | |
| "hash_cont_tokens": "58b95f214c913d48" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 27, | |
| "padded": 98, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "d96fc1bc32473533", | |
| "hash_full_prompts": "d96fc1bc32473533", | |
| "hash_input_tokens": "0bc0b084900a6307", | |
| "hash_cont_tokens": "cbccf4a349087187" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 190, | |
| "padded": 476, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Computer Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "8835587e436cbaff", | |
| "hash_full_prompts": "8835587e436cbaff", | |
| "hash_input_tokens": "13b7ba40fb33e8ae", | |
| "hash_cont_tokens": "e913f7a58c94d730" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 64, | |
| "padded": 255, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Driving Test|0": { | |
| "hashes": { | |
| "hash_examples": "7a4c38a2c451d075", | |
| "hash_full_prompts": "7a4c38a2c451d075", | |
| "hash_input_tokens": "8d2510000b92ea48", | |
| "hash_cont_tokens": "61a40ef750fc7b6b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1211, | |
| "padded": 3668, | |
| "non_padded": 17, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c04c252836601279", | |
| "hash_full_prompts": "c04c252836601279", | |
| "hash_input_tokens": "428ec11bf1d1c2bf", | |
| "hash_cont_tokens": "3721d7ae12a76614" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 360, | |
| "padded": 1384, | |
| "non_padded": 6, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "18fba1579406b3cc", | |
| "hash_full_prompts": "18fba1579406b3cc", | |
| "hash_input_tokens": "cf4f707993f56a37", | |
| "hash_cont_tokens": "0f548718b7f61c44" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 87, | |
| "padded": 348, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Economics (University)|0": { | |
| "hashes": { | |
| "hash_examples": "7c9e86fba8151562", | |
| "hash_full_prompts": "7c9e86fba8151562", | |
| "hash_input_tokens": "b3ac71f135f96198", | |
| "hash_cont_tokens": "a0e7b3fe97f81348" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 137, | |
| "padded": 544, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "acfbe4e1f0314b85", | |
| "hash_full_prompts": "acfbe4e1f0314b85", | |
| "hash_input_tokens": "5a881107120551ef", | |
| "hash_cont_tokens": "13d69c3fb549ac82" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 864, | |
| "padded": 3211, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "03cd0ecf10224316", | |
| "hash_full_prompts": "03cd0ecf10224316", | |
| "hash_input_tokens": "aec6070a1040fa32", | |
| "hash_cont_tokens": "132f0e630750afd8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 172, | |
| "padded": 625, | |
| "non_padded": 3, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:General Knowledge (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "c3ee30196e05e122", | |
| "hash_full_prompts": "c3ee30196e05e122", | |
| "hash_input_tokens": "382f78c94fcab138", | |
| "hash_cont_tokens": "557a9d1dc4fb4909" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 162, | |
| "padded": 637, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "e2e329d2bdd9fb7b", | |
| "hash_full_prompts": "e2e329d2bdd9fb7b", | |
| "hash_input_tokens": "e423e2cd1258ca0f", | |
| "hash_cont_tokens": "47c77d05ce490413" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1038, | |
| "padded": 4108, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "420b161444291989", | |
| "hash_full_prompts": "420b161444291989", | |
| "hash_input_tokens": "513eccad5fb8947d", | |
| "hash_cont_tokens": "598dc2b72368309b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 272, | |
| "padded": 971, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Geography (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "5bc5ca48a4210899", | |
| "hash_full_prompts": "5bc5ca48a4210899", | |
| "hash_input_tokens": "28a35a38b56adbe0", | |
| "hash_cont_tokens": "60d29e4ad5ff6b61" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 216, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "c7cc37f29311bea1", | |
| "hash_full_prompts": "c7cc37f29311bea1", | |
| "hash_input_tokens": "22a908e3bd559c40", | |
| "hash_cont_tokens": "060483bd2b6ebc61" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 760, | |
| "padded": 2950, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "5b9f1973337153a2", | |
| "hash_full_prompts": "5b9f1973337153a2", | |
| "hash_input_tokens": "47bbedf2104577e9", | |
| "hash_cont_tokens": "fa56ea2258df19bf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 203, | |
| "padded": 746, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:History (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "af2469847007c1fe", | |
| "hash_full_prompts": "af2469847007c1fe", | |
| "hash_input_tokens": "5033431d1bc40372", | |
| "hash_cont_tokens": "3099e68f028e9ac6" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies|0": { | |
| "hashes": { | |
| "hash_examples": "c8da9b2f16a5ea0f", | |
| "hash_full_prompts": "c8da9b2f16a5ea0f", | |
| "hash_input_tokens": "f3393a9d071bddb4", | |
| "hash_cont_tokens": "910861117ccadc70" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 639, | |
| "padded": 2529, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "efb11bc8ef398117", | |
| "hash_full_prompts": "efb11bc8ef398117", | |
| "hash_input_tokens": "563c357b6010b109", | |
| "hash_cont_tokens": "5054706a254d5c16" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 334, | |
| "padded": 1283, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "9e33ab030eebdb99", | |
| "hash_full_prompts": "9e33ab030eebdb99", | |
| "hash_input_tokens": "2cb4d928382454e4", | |
| "hash_cont_tokens": "ded68b7a099be0a2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 881, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Islamic Studies (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "4167565d878b20eb", | |
| "hash_full_prompts": "4167565d878b20eb", | |
| "hash_input_tokens": "899a9fa43abc5d8a", | |
| "hash_cont_tokens": "9aba9601e5bf7a66" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 999, | |
| "padded": 3024, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Law (Professional)|0": { | |
| "hashes": { | |
| "hash_examples": "e77f52c8fe4352b3", | |
| "hash_full_prompts": "e77f52c8fe4352b3", | |
| "hash_input_tokens": "d0cf5faf54db1e21", | |
| "hash_cont_tokens": "cfe47a0e6d9d6156" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 314, | |
| "padded": 1228, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Management (University)|0": { | |
| "hashes": { | |
| "hash_examples": "09682649b04b7327", | |
| "hash_full_prompts": "09682649b04b7327", | |
| "hash_input_tokens": "68772de37604bb12", | |
| "hash_cont_tokens": "6e22e1727a1d5847" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 75, | |
| "padded": 199, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Math (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "edb027bfae7e76f1", | |
| "hash_full_prompts": "edb027bfae7e76f1", | |
| "hash_input_tokens": "944c8e8ba112955c", | |
| "hash_cont_tokens": "310dd4db68eb4dfe" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 409, | |
| "padded": 1296, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "96e72c9094c2364c", | |
| "hash_full_prompts": "96e72c9094c2364c", | |
| "hash_input_tokens": "8f651e0cf9893fd5", | |
| "hash_cont_tokens": "d6834ccf59725c90" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 242, | |
| "padded": 940, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Natural Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "69e35bad3dec5a4d", | |
| "hash_full_prompts": "69e35bad3dec5a4d", | |
| "hash_input_tokens": "052410bfc13432b0", | |
| "hash_cont_tokens": "51aa16edfc672fec" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 336, | |
| "padded": 1228, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Philosophy (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "dc6ebd484a02fca5", | |
| "hash_full_prompts": "dc6ebd484a02fca5", | |
| "hash_input_tokens": "4db12a50850d6e5a", | |
| "hash_cont_tokens": "1c136d81e729c297" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 39, | |
| "padded": 156, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Physics (High School)|0": { | |
| "hashes": { | |
| "hash_examples": "58a1722472c9e644", | |
| "hash_full_prompts": "58a1722472c9e644", | |
| "hash_input_tokens": "4055a565590354ad", | |
| "hash_cont_tokens": "7ad2cafad76ab184" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 255, | |
| "padded": 1016, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Political Science (University)|0": { | |
| "hashes": { | |
| "hash_examples": "07a4ed6aabbdfd1e", | |
| "hash_full_prompts": "07a4ed6aabbdfd1e", | |
| "hash_input_tokens": "3d9cd8b6b3208c7b", | |
| "hash_cont_tokens": "481dc76026218e77" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 210, | |
| "padded": 708, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Middle School)|0": { | |
| "hashes": { | |
| "hash_examples": "8ca955902f304664", | |
| "hash_full_prompts": "8ca955902f304664", | |
| "hash_input_tokens": "d2f82b4b8d7ce914", | |
| "hash_cont_tokens": "9fcc3360d79f2477" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 241, | |
| "padded": 925, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu:Social Science (Primary School)|0": { | |
| "hashes": { | |
| "hash_examples": "934025ab3738123c", | |
| "hash_full_prompts": "934025ab3738123c", | |
| "hash_input_tokens": "fb81966b1c9eff7f", | |
| "hash_cont_tokens": "c51a80917e14dcce" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 705, | |
| "padded": 2043, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:abstract_algebra|0": { | |
| "hashes": { | |
| "hash_examples": "0b557911f2f6d919", | |
| "hash_full_prompts": "0b557911f2f6d919", | |
| "hash_input_tokens": "1ba979d8b77d005a", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:anatomy|0": { | |
| "hashes": { | |
| "hash_examples": "a552d8a0ef294061", | |
| "hash_full_prompts": "a552d8a0ef294061", | |
| "hash_input_tokens": "20d9ca01e7c48606", | |
| "hash_cont_tokens": "abfaf04e7aa2511f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 135, | |
| "padded": 540, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:astronomy|0": { | |
| "hashes": { | |
| "hash_examples": "c4a372d0af7da098", | |
| "hash_full_prompts": "c4a372d0af7da098", | |
| "hash_input_tokens": "9a0080cd4a2f8321", | |
| "hash_cont_tokens": "4920d1e0af5e6ef4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 152, | |
| "padded": 608, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:business_ethics|0": { | |
| "hashes": { | |
| "hash_examples": "9f71d816abf8af7a", | |
| "hash_full_prompts": "9f71d816abf8af7a", | |
| "hash_input_tokens": "e2b9ae541948000c", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:clinical_knowledge|0": { | |
| "hashes": { | |
| "hash_examples": "38303cd765589ef3", | |
| "hash_full_prompts": "38303cd765589ef3", | |
| "hash_input_tokens": "2e13fb0964326e66", | |
| "hash_cont_tokens": "c43dfc0ffb59cd23" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 265, | |
| "padded": 1060, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_biology|0": { | |
| "hashes": { | |
| "hash_examples": "dbd9b5d318e60b04", | |
| "hash_full_prompts": "dbd9b5d318e60b04", | |
| "hash_input_tokens": "3a1872bd69df7329", | |
| "hash_cont_tokens": "d8f8963b370bcd35" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 144, | |
| "padded": 575, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_chemistry|0": { | |
| "hashes": { | |
| "hash_examples": "6f88491d03db8a4c", | |
| "hash_full_prompts": "6f88491d03db8a4c", | |
| "hash_input_tokens": "1c6e57c43609cd92", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "ebfdee5ef2ed5e17", | |
| "hash_full_prompts": "ebfdee5ef2ed5e17", | |
| "hash_input_tokens": "9fdcbc3d54fbb637", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "e3f22cd7712aae2f", | |
| "hash_full_prompts": "e3f22cd7712aae2f", | |
| "hash_input_tokens": "d73c925e5135ebbc", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 392, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "51a5501373afb5a7", | |
| "hash_full_prompts": "51a5501373afb5a7", | |
| "hash_input_tokens": "46bb0b027e9b84ca", | |
| "hash_cont_tokens": "83384884631d6dd9" | |
| }, | |
| "truncated": 20, | |
| "non_truncated": 153, | |
| "padded": 672, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:college_physics|0": { | |
| "hashes": { | |
| "hash_examples": "2d3e015989b108db", | |
| "hash_full_prompts": "2d3e015989b108db", | |
| "hash_input_tokens": "d84fceb976b8989f", | |
| "hash_cont_tokens": "6dad5081e53f5083" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 102, | |
| "padded": 408, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:computer_security|0": { | |
| "hashes": { | |
| "hash_examples": "f8810eddc38dfee4", | |
| "hash_full_prompts": "f8810eddc38dfee4", | |
| "hash_input_tokens": "abe704acd04ad27e", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:conceptual_physics|0": { | |
| "hashes": { | |
| "hash_examples": "211e32cc43c6b1dc", | |
| "hash_full_prompts": "211e32cc43c6b1dc", | |
| "hash_input_tokens": "baac93c3dc08663c", | |
| "hash_cont_tokens": "057b39462afe1874" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 235, | |
| "padded": 924, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:econometrics|0": { | |
| "hashes": { | |
| "hash_examples": "810023786b2484d2", | |
| "hash_full_prompts": "810023786b2484d2", | |
| "hash_input_tokens": "0fd981f7327ac0c6", | |
| "hash_cont_tokens": "f924281788311128" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 114, | |
| "padded": 452, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:electrical_engineering|0": { | |
| "hashes": { | |
| "hash_examples": "a222760c93eaa1ee", | |
| "hash_full_prompts": "a222760c93eaa1ee", | |
| "hash_input_tokens": "019a3be505112362", | |
| "hash_cont_tokens": "89164436bd468428" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 145, | |
| "padded": 572, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:elementary_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "4c069aeee64dc227", | |
| "hash_full_prompts": "4c069aeee64dc227", | |
| "hash_input_tokens": "a94bada7e699fb0e", | |
| "hash_cont_tokens": "bafa6b6e4aaa947f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 378, | |
| "padded": 1508, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:formal_logic|0": { | |
| "hashes": { | |
| "hash_examples": "3cb0ccbf8e8a77ae", | |
| "hash_full_prompts": "3cb0ccbf8e8a77ae", | |
| "hash_input_tokens": "839be712fb331b36", | |
| "hash_cont_tokens": "90a6c627b7a60fb9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 126, | |
| "padded": 492, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:global_facts|0": { | |
| "hashes": { | |
| "hash_examples": "c1d039e64ea321b9", | |
| "hash_full_prompts": "c1d039e64ea321b9", | |
| "hash_input_tokens": "9e712d53fe06a829", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_biology|0": { | |
| "hashes": { | |
| "hash_examples": "ddcb8237bb4ba08a", | |
| "hash_full_prompts": "ddcb8237bb4ba08a", | |
| "hash_input_tokens": "0b221bfd1258578d", | |
| "hash_cont_tokens": "0f931d3b18119c9b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3813, | |
| "padded": 15124, | |
| "non_padded": 128, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_chemistry|0": { | |
| "hashes": { | |
| "hash_examples": "07061b55c5c436d9", | |
| "hash_full_prompts": "07061b55c5c436d9", | |
| "hash_input_tokens": "16c3ae62ef97603b", | |
| "hash_cont_tokens": "2a9e0a5cd8023f63" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4016, | |
| "padded": 15936, | |
| "non_padded": 128, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_computer_science|0": { | |
| "hashes": { | |
| "hash_examples": "8d3405483d5fdcff", | |
| "hash_full_prompts": "8d3405483d5fdcff", | |
| "hash_input_tokens": "659f2e3391156a01", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_european_history|0": { | |
| "hashes": { | |
| "hash_examples": "031c49a430356414", | |
| "hash_full_prompts": "031c49a430356414", | |
| "hash_input_tokens": "ab569570cd4e8826", | |
| "hash_cont_tokens": "8c1001a9f1180f81" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 8152, | |
| "padded": 32480, | |
| "non_padded": 128, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_geography|0": { | |
| "hashes": { | |
| "hash_examples": "d0ce2b019a66c1de", | |
| "hash_full_prompts": "d0ce2b019a66c1de", | |
| "hash_input_tokens": "a6212144d5c32589", | |
| "hash_cont_tokens": "40987b9a15077588" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 198, | |
| "padded": 792, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_government_and_politics|0": { | |
| "hashes": { | |
| "hash_examples": "7d7c6d476d0576b1", | |
| "hash_full_prompts": "7d7c6d476d0576b1", | |
| "hash_input_tokens": "7403b16c2884d3a2", | |
| "hash_cont_tokens": "abd3954a25cf50e0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 193, | |
| "padded": 772, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_macroeconomics|0": { | |
| "hashes": { | |
| "hash_examples": "694d3a01c6144ddb", | |
| "hash_full_prompts": "694d3a01c6144ddb", | |
| "hash_input_tokens": "63e113e65e177410", | |
| "hash_cont_tokens": "877962c42c2d28f7" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2891, | |
| "padded": 11460, | |
| "non_padded": 104, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_mathematics|0": { | |
| "hashes": { | |
| "hash_examples": "004f9c0a40b5ec10", | |
| "hash_full_prompts": "004f9c0a40b5ec10", | |
| "hash_input_tokens": "cf25d169b0428aea", | |
| "hash_cont_tokens": "6dc421c74736dd98" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 270, | |
| "padded": 1064, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_microeconomics|0": { | |
| "hashes": { | |
| "hash_examples": "80cf03d462e6ccbc", | |
| "hash_full_prompts": "80cf03d462e6ccbc", | |
| "hash_input_tokens": "19a84eec2368cd71", | |
| "hash_cont_tokens": "e17c7cdf474c021a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 238, | |
| "padded": 948, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_physics|0": { | |
| "hashes": { | |
| "hash_examples": "92218def5b383845", | |
| "hash_full_prompts": "92218def5b383845", | |
| "hash_input_tokens": "ac20817e0a660896", | |
| "hash_cont_tokens": "bd5bbac3e9c80551" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 151, | |
| "padded": 604, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "323f7848fee32e58", | |
| "hash_full_prompts": "323f7848fee32e58", | |
| "hash_input_tokens": "3b7879f36c322648", | |
| "hash_cont_tokens": "c2513d13f286755a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 545, | |
| "padded": 2164, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_statistics|0": { | |
| "hashes": { | |
| "hash_examples": "d7bbe0d037cf31ec", | |
| "hash_full_prompts": "d7bbe0d037cf31ec", | |
| "hash_input_tokens": "13d1715b55903074", | |
| "hash_cont_tokens": "8cd3e5c775f58aa4" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4232, | |
| "padded": 16800, | |
| "non_padded": 128, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_us_history|0": { | |
| "hashes": { | |
| "hash_examples": "722ec9207e3b0e04", | |
| "hash_full_prompts": "722ec9207e3b0e04", | |
| "hash_input_tokens": "7e8999300da990a1", | |
| "hash_cont_tokens": "03a9abf054e5b64e" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 204, | |
| "padded": 816, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:high_school_world_history|0": { | |
| "hashes": { | |
| "hash_examples": "b5eb675d3b578584", | |
| "hash_full_prompts": "b5eb675d3b578584", | |
| "hash_input_tokens": "2168107c96491110", | |
| "hash_cont_tokens": "be7786343f79da97" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 237, | |
| "padded": 948, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_aging|0": { | |
| "hashes": { | |
| "hash_examples": "713ac79cd2dd2d7b", | |
| "hash_full_prompts": "713ac79cd2dd2d7b", | |
| "hash_input_tokens": "f5808dad45468fea", | |
| "hash_cont_tokens": "be35bcd9b60c1ef2" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 223, | |
| "padded": 880, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:human_sexuality|0": { | |
| "hashes": { | |
| "hash_examples": "47551ab4e5dcf6c5", | |
| "hash_full_prompts": "47551ab4e5dcf6c5", | |
| "hash_input_tokens": "82977517c096915e", | |
| "hash_cont_tokens": "3d0ee3120bbd6f7f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 131, | |
| "padded": 508, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:international_law|0": { | |
| "hashes": { | |
| "hash_examples": "da360336943398d5", | |
| "hash_full_prompts": "da360336943398d5", | |
| "hash_input_tokens": "2aae01424fdebb26", | |
| "hash_cont_tokens": "c001304b33ffbde0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 121, | |
| "padded": 484, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:jurisprudence|0": { | |
| "hashes": { | |
| "hash_examples": "661d161a486fb035", | |
| "hash_full_prompts": "661d161a486fb035", | |
| "hash_input_tokens": "367fcb072fc8ba32", | |
| "hash_cont_tokens": "5c157835f220622a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 108, | |
| "padded": 432, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:logical_fallacies|0": { | |
| "hashes": { | |
| "hash_examples": "5c3926384758bda7", | |
| "hash_full_prompts": "5c3926384758bda7", | |
| "hash_input_tokens": "c232ff54ce1f01bf", | |
| "hash_cont_tokens": "4e97d2bbf3d4e63c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 163, | |
| "padded": 648, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:machine_learning|0": { | |
| "hashes": { | |
| "hash_examples": "3ce756e6a22ffc48", | |
| "hash_full_prompts": "3ce756e6a22ffc48", | |
| "hash_input_tokens": "10b0250cbcf0084b", | |
| "hash_cont_tokens": "8086943613b59efd" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 112, | |
| "padded": 448, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:management|0": { | |
| "hashes": { | |
| "hash_examples": "20fe769bb3276832", | |
| "hash_full_prompts": "20fe769bb3276832", | |
| "hash_input_tokens": "a59a152ba8d63d97", | |
| "hash_cont_tokens": "684b6a5c5c575918" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 103, | |
| "padded": 396, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:marketing|0": { | |
| "hashes": { | |
| "hash_examples": "6b19449559d987ce", | |
| "hash_full_prompts": "6b19449559d987ce", | |
| "hash_input_tokens": "a3a004c932f5ac44", | |
| "hash_cont_tokens": "ea8538b2312de1e5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 234, | |
| "padded": 920, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:medical_genetics|0": { | |
| "hashes": { | |
| "hash_examples": "cbb0fa9df0f5435a", | |
| "hash_full_prompts": "cbb0fa9df0f5435a", | |
| "hash_input_tokens": "6bc9456980d403dc", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 400, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:miscellaneous|0": { | |
| "hashes": { | |
| "hash_examples": "0a4134046c23cff9", | |
| "hash_full_prompts": "0a4134046c23cff9", | |
| "hash_input_tokens": "18a13635807a38ea", | |
| "hash_cont_tokens": "1f3a2b000fa9df43" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 2420, | |
| "padded": 9592, | |
| "non_padded": 88, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_disputes|0": { | |
| "hashes": { | |
| "hash_examples": "1ac8a0967c82caa0", | |
| "hash_full_prompts": "1ac8a0967c82caa0", | |
| "hash_input_tokens": "55588466610c6281", | |
| "hash_cont_tokens": "520d6fa58d9a8c3f" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 346, | |
| "padded": 1380, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:moral_scenarios|0": { | |
| "hashes": { | |
| "hash_examples": "2c0670188bc5a789", | |
| "hash_full_prompts": "2c0670188bc5a789", | |
| "hash_input_tokens": "f739e47606b62f6e", | |
| "hash_cont_tokens": "33a54888b60c4a0b" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 895, | |
| "padded": 3564, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:nutrition|0": { | |
| "hashes": { | |
| "hash_examples": "658628c0dcdfe201", | |
| "hash_full_prompts": "658628c0dcdfe201", | |
| "hash_input_tokens": "de4738440cc6ada7", | |
| "hash_cont_tokens": "9a6bf2b6017bac11" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 306, | |
| "padded": 1216, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:philosophy|0": { | |
| "hashes": { | |
| "hash_examples": "8b6707b322affafd", | |
| "hash_full_prompts": "8b6707b322affafd", | |
| "hash_input_tokens": "48189e627b899eed", | |
| "hash_cont_tokens": "221efa8cc1f02170" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 311, | |
| "padded": 1228, | |
| "non_padded": 16, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:prehistory|0": { | |
| "hashes": { | |
| "hash_examples": "0c85ffcdc9a7b367", | |
| "hash_full_prompts": "0c85ffcdc9a7b367", | |
| "hash_input_tokens": "e42aa4bd9e4ddaa6", | |
| "hash_cont_tokens": "675569cb6497ea24" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 324, | |
| "padded": 1276, | |
| "non_padded": 20, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_accounting|0": { | |
| "hashes": { | |
| "hash_examples": "cce1ea2d5f544b2f", | |
| "hash_full_prompts": "cce1ea2d5f544b2f", | |
| "hash_input_tokens": "a201ce093e07d36b", | |
| "hash_cont_tokens": "81ab462dd8230d3a" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 4514, | |
| "padded": 17912, | |
| "non_padded": 144, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_law|0": { | |
| "hashes": { | |
| "hash_examples": "1c654b024b54eb4b", | |
| "hash_full_prompts": "1c654b024b54eb4b", | |
| "hash_input_tokens": "ac92a3f613477055", | |
| "hash_cont_tokens": "a4d4c9014fefacc9" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 7987, | |
| "padded": 31796, | |
| "non_padded": 152, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_medicine|0": { | |
| "hashes": { | |
| "hash_examples": "c621eaacfa662ebc", | |
| "hash_full_prompts": "c621eaacfa662ebc", | |
| "hash_input_tokens": "a587808ca33f09d8", | |
| "hash_cont_tokens": "ffe3affaaf945eff" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 1637, | |
| "padded": 6492, | |
| "non_padded": 56, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:professional_psychology|0": { | |
| "hashes": { | |
| "hash_examples": "bc14a28eaec87dc4", | |
| "hash_full_prompts": "bc14a28eaec87dc4", | |
| "hash_input_tokens": "7e529d57e6d2e10f", | |
| "hash_cont_tokens": "712188a3b4128833" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 3503, | |
| "padded": 13880, | |
| "non_padded": 132, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:public_relations|0": { | |
| "hashes": { | |
| "hash_examples": "de4989d9375885c4", | |
| "hash_full_prompts": "de4989d9375885c4", | |
| "hash_input_tokens": "1591aa8a8bca7b0a", | |
| "hash_cont_tokens": "24491b805f15ed2c" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 110, | |
| "padded": 440, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:security_studies|0": { | |
| "hashes": { | |
| "hash_examples": "3f84bfeec717c6de", | |
| "hash_full_prompts": "3f84bfeec717c6de", | |
| "hash_input_tokens": "55b4851a4abc8972", | |
| "hash_cont_tokens": "a1479f52659d7dfb" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 245, | |
| "padded": 980, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:sociology|0": { | |
| "hashes": { | |
| "hash_examples": "10d7c2fae10bfcbc", | |
| "hash_full_prompts": "10d7c2fae10bfcbc", | |
| "hash_input_tokens": "35a1693205109e3e", | |
| "hash_cont_tokens": "b006eb67a1d927dc" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 201, | |
| "padded": 800, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:us_foreign_policy|0": { | |
| "hashes": { | |
| "hash_examples": "bb05f02c38ddaf1a", | |
| "hash_full_prompts": "bb05f02c38ddaf1a", | |
| "hash_input_tokens": "35f1a9e27d07d63a", | |
| "hash_cont_tokens": "844bed714c379a88" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 100, | |
| "padded": 396, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:virology|0": { | |
| "hashes": { | |
| "hash_examples": "290915a48884ede2", | |
| "hash_full_prompts": "290915a48884ede2", | |
| "hash_input_tokens": "d405d7a87a61bbeb", | |
| "hash_cont_tokens": "56a704f3ce3acdf5" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 166, | |
| "padded": 660, | |
| "non_padded": 4, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|arabic_mmlu_ht:world_religions|0": { | |
| "hashes": { | |
| "hash_examples": "91cc5451c7284f75", | |
| "hash_full_prompts": "91cc5451c7284f75", | |
| "hash_input_tokens": "8fa730bc0fa1a89c", | |
| "hash_cont_tokens": "66439283772b1e5d" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 171, | |
| "padded": 676, | |
| "non_padded": 8, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (General)|0": { | |
| "hashes": { | |
| "hash_examples": "bef69fb8b3b75f28", | |
| "hash_full_prompts": "bef69fb8b3b75f28", | |
| "hash_input_tokens": "d9079a1b681fb64a", | |
| "hash_cont_tokens": "4e1d4bb70ac621cf" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 612, | |
| "padded": 2391, | |
| "non_padded": 12, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|madinah_qa:Arabic Language (Grammar)|0": { | |
| "hashes": { | |
| "hash_examples": "bd066a9e6a140a4b", | |
| "hash_full_prompts": "bd066a9e6a140a4b", | |
| "hash_input_tokens": "9731ebb2580dc40c", | |
| "hash_cont_tokens": "bd2eee43ab8f0f14" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 365, | |
| "padded": 1574, | |
| "non_padded": 14, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Ethics|0": { | |
| "hashes": { | |
| "hash_examples": "5d32da36271c5eb4", | |
| "hash_full_prompts": "5d32da36271c5eb4", | |
| "hash_input_tokens": "f1b82e1d0e7696c1", | |
| "hash_cont_tokens": "6c94212c04e1f590" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 60, | |
| "padded": 180, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Illegal|0": { | |
| "hashes": { | |
| "hash_examples": "0c07f1f100f2d0e8", | |
| "hash_full_prompts": "0c07f1f100f2d0e8", | |
| "hash_input_tokens": "9367f65e09bfd0a0", | |
| "hash_cont_tokens": "59e84b1c69960d17" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 53, | |
| "padded": 159, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:MentalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "8e5fc5c4704bd96b", | |
| "hash_full_prompts": "8e5fc5c4704bd96b", | |
| "hash_input_tokens": "ff0bc98efb2f2eac", | |
| "hash_cont_tokens": "4ad557898e67dca0" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 76, | |
| "padded": 227, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Offensive|0": { | |
| "hashes": { | |
| "hash_examples": "5ad4369b7dc5de46", | |
| "hash_full_prompts": "5ad4369b7dc5de46", | |
| "hash_input_tokens": "59c49abbfaeeb42a", | |
| "hash_cont_tokens": "692d897812830b96" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 69, | |
| "padded": 207, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:PhysicalHealth|0": { | |
| "hashes": { | |
| "hash_examples": "dc2a632e2dcc86db", | |
| "hash_full_prompts": "dc2a632e2dcc86db", | |
| "hash_input_tokens": "6b19f8fc20a92d25", | |
| "hash_cont_tokens": "ba508bee3726eeb8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 73, | |
| "padded": 218, | |
| "non_padded": 1, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Privacy|0": { | |
| "hashes": { | |
| "hash_examples": "295e35448a39e003", | |
| "hash_full_prompts": "295e35448a39e003", | |
| "hash_input_tokens": "022f3cadf8907c63", | |
| "hash_cont_tokens": "43238c29b2463525" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 57, | |
| "padded": 169, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Trustfulness|0": { | |
| "hashes": { | |
| "hash_examples": "e79ac1ea5439e623", | |
| "hash_full_prompts": "e79ac1ea5439e623", | |
| "hash_input_tokens": "f58a2ce69927023e", | |
| "hash_cont_tokens": "e75c30f548a8eee8" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 78, | |
| "padded": 234, | |
| "non_padded": 0, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|aratrust:Unfairness|0": { | |
| "hashes": { | |
| "hash_examples": "4ac5dccbfbdc5077", | |
| "hash_full_prompts": "4ac5dccbfbdc5077", | |
| "hash_input_tokens": "39c748894e71b4db", | |
| "hash_cont_tokens": "bbcef6d351ec5b82" | |
| }, | |
| "truncated": 0, | |
| "non_truncated": 55, | |
| "padded": 163, | |
| "non_padded": 2, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| }, | |
| "community|alrage_qa|0": { | |
| "hashes": { | |
| "hash_examples": "3edbbe22cabd4160", | |
| "hash_full_prompts": "3edbbe22cabd4160", | |
| "hash_input_tokens": "08a7a5cc1a0c69e7", | |
| "hash_cont_tokens": "3dfd1cb2524f5431" | |
| }, | |
| "truncated": 1148, | |
| "non_truncated": 958, | |
| "padded": 223, | |
| "non_padded": 1883, | |
| "effective_few_shots": 0.0, | |
| "num_truncated_few_shots": 0 | |
| } | |
| }, | |
| "summary_general": { | |
| "hashes": { | |
| "hash_examples": "b8b3b49631adcc40", | |
| "hash_full_prompts": "b8b3b49631adcc40", | |
| "hash_input_tokens": "43d696278ec765fe", | |
| "hash_cont_tokens": "8f4c8255db9f6dfd" | |
| }, | |
| "truncated": 20, | |
| "non_truncated": 91842, | |
| "padded": 335190, | |
| "non_padded": 1694, | |
| "num_truncated_few_shots": 0 | |
| } | |
| } |