|
{ |
|
"results": { |
|
"arc_challenge": { |
|
"alias": "arc_challenge", |
|
"acc,none": 0.2022184300341297, |
|
"acc_stderr,none": 0.011737454431872105, |
|
"acc_norm,none": 0.23720136518771331, |
|
"acc_norm_stderr,none": 0.012430399829260846 |
|
}, |
|
"arc_easy": { |
|
"alias": "arc_easy", |
|
"acc,none": 0.26725589225589225, |
|
"acc_stderr,none": 0.00908046324601747, |
|
"acc_norm,none": 0.27525252525252525, |
|
"acc_norm_stderr,none": 0.009164888895174743 |
|
}, |
|
"blimp": { |
|
"acc,none": 0.5329104477611942, |
|
"acc_stderr,none": 0.0017067954895005194, |
|
"alias": "blimp" |
|
}, |
|
"blimp_adjunct_island": { |
|
"alias": " - blimp_adjunct_island", |
|
"acc,none": 0.496, |
|
"acc_stderr,none": 0.01581879370351089 |
|
}, |
|
"blimp_anaphor_gender_agreement": { |
|
"alias": " - blimp_anaphor_gender_agreement", |
|
"acc,none": 0.291, |
|
"acc_stderr,none": 0.014370995982377935 |
|
}, |
|
"blimp_anaphor_number_agreement": { |
|
"alias": " - blimp_anaphor_number_agreement", |
|
"acc,none": 0.404, |
|
"acc_stderr,none": 0.015524980677122584 |
|
}, |
|
"blimp_animate_subject_passive": { |
|
"alias": " - blimp_animate_subject_passive", |
|
"acc,none": 0.661, |
|
"acc_stderr,none": 0.014976758771620344 |
|
}, |
|
"blimp_animate_subject_trans": { |
|
"alias": " - blimp_animate_subject_trans", |
|
"acc,none": 0.789, |
|
"acc_stderr,none": 0.012909130321042099 |
|
}, |
|
"blimp_causative": { |
|
"alias": " - blimp_causative", |
|
"acc,none": 0.43, |
|
"acc_stderr,none": 0.015663503610155283 |
|
}, |
|
"blimp_complex_NP_island": { |
|
"alias": " - blimp_complex_NP_island", |
|
"acc,none": 0.424, |
|
"acc_stderr,none": 0.015635487471405186 |
|
}, |
|
"blimp_coordinate_structure_constraint_complex_left_branch": { |
|
"alias": " - blimp_coordinate_structure_constraint_complex_left_branch", |
|
"acc,none": 0.088, |
|
"acc_stderr,none": 0.008963053962592078 |
|
}, |
|
"blimp_coordinate_structure_constraint_object_extraction": { |
|
"alias": " - blimp_coordinate_structure_constraint_object_extraction", |
|
"acc,none": 0.655, |
|
"acc_stderr,none": 0.015039986742055237 |
|
}, |
|
"blimp_determiner_noun_agreement_1": { |
|
"alias": " - blimp_determiner_noun_agreement_1", |
|
"acc,none": 0.528, |
|
"acc_stderr,none": 0.015794475789511476 |
|
}, |
|
"blimp_determiner_noun_agreement_2": { |
|
"alias": " - blimp_determiner_noun_agreement_2", |
|
"acc,none": 0.491, |
|
"acc_stderr,none": 0.015816736995005392 |
|
}, |
|
"blimp_determiner_noun_agreement_irregular_1": { |
|
"alias": " - blimp_determiner_noun_agreement_irregular_1", |
|
"acc,none": 0.502, |
|
"acc_stderr,none": 0.015819173374302702 |
|
}, |
|
"blimp_determiner_noun_agreement_irregular_2": { |
|
"alias": " - blimp_determiner_noun_agreement_irregular_2", |
|
"acc,none": 0.528, |
|
"acc_stderr,none": 0.01579447578951148 |
|
}, |
|
"blimp_determiner_noun_agreement_with_adj_2": { |
|
"alias": " - blimp_determiner_noun_agreement_with_adj_2", |
|
"acc,none": 0.479, |
|
"acc_stderr,none": 0.015805341148131296 |
|
}, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_1": { |
|
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1", |
|
"acc,none": 0.441, |
|
"acc_stderr,none": 0.015708779894242676 |
|
}, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_2": { |
|
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2", |
|
"acc,none": 0.53, |
|
"acc_stderr,none": 0.015790799515836763 |
|
}, |
|
"blimp_determiner_noun_agreement_with_adjective_1": { |
|
"alias": " - blimp_determiner_noun_agreement_with_adjective_1", |
|
"acc,none": 0.523, |
|
"acc_stderr,none": 0.015802554246726098 |
|
}, |
|
"blimp_distractor_agreement_relational_noun": { |
|
"alias": " - blimp_distractor_agreement_relational_noun", |
|
"acc,none": 0.468, |
|
"acc_stderr,none": 0.015786868759359005 |
|
}, |
|
"blimp_distractor_agreement_relative_clause": { |
|
"alias": " - blimp_distractor_agreement_relative_clause", |
|
"acc,none": 0.523, |
|
"acc_stderr,none": 0.015802554246726098 |
|
}, |
|
"blimp_drop_argument": { |
|
"alias": " - blimp_drop_argument", |
|
"acc,none": 0.699, |
|
"acc_stderr,none": 0.014512395033543147 |
|
}, |
|
"blimp_ellipsis_n_bar_1": { |
|
"alias": " - blimp_ellipsis_n_bar_1", |
|
"acc,none": 0.168, |
|
"acc_stderr,none": 0.011828605831454257 |
|
}, |
|
"blimp_ellipsis_n_bar_2": { |
|
"alias": " - blimp_ellipsis_n_bar_2", |
|
"acc,none": 0.3, |
|
"acc_stderr,none": 0.014498627873361427 |
|
}, |
|
"blimp_existential_there_object_raising": { |
|
"alias": " - blimp_existential_there_object_raising", |
|
"acc,none": 0.719, |
|
"acc_stderr,none": 0.014221154708434934 |
|
}, |
|
"blimp_existential_there_quantifiers_1": { |
|
"alias": " - blimp_existential_there_quantifiers_1", |
|
"acc,none": 0.727, |
|
"acc_stderr,none": 0.014095022868717588 |
|
}, |
|
"blimp_existential_there_quantifiers_2": { |
|
"alias": " - blimp_existential_there_quantifiers_2", |
|
"acc,none": 0.277, |
|
"acc_stderr,none": 0.014158794845306263 |
|
}, |
|
"blimp_existential_there_subject_raising": { |
|
"alias": " - blimp_existential_there_subject_raising", |
|
"acc,none": 0.491, |
|
"acc_stderr,none": 0.015816736995005392 |
|
}, |
|
"blimp_expletive_it_object_raising": { |
|
"alias": " - blimp_expletive_it_object_raising", |
|
"acc,none": 0.644, |
|
"acc_stderr,none": 0.015149042659306628 |
|
}, |
|
"blimp_inchoative": { |
|
"alias": " - blimp_inchoative", |
|
"acc,none": 0.391, |
|
"acc_stderr,none": 0.015438826294681787 |
|
}, |
|
"blimp_intransitive": { |
|
"alias": " - blimp_intransitive", |
|
"acc,none": 0.575, |
|
"acc_stderr,none": 0.015640320317040105 |
|
}, |
|
"blimp_irregular_past_participle_adjectives": { |
|
"alias": " - blimp_irregular_past_participle_adjectives", |
|
"acc,none": 0.662, |
|
"acc_stderr,none": 0.014965960710224482 |
|
}, |
|
"blimp_irregular_past_participle_verbs": { |
|
"alias": " - blimp_irregular_past_participle_verbs", |
|
"acc,none": 0.58, |
|
"acc_stderr,none": 0.015615500115072957 |
|
}, |
|
"blimp_irregular_plural_subject_verb_agreement_1": { |
|
"alias": " - blimp_irregular_plural_subject_verb_agreement_1", |
|
"acc,none": 0.53, |
|
"acc_stderr,none": 0.015790799515836763 |
|
}, |
|
"blimp_irregular_plural_subject_verb_agreement_2": { |
|
"alias": " - blimp_irregular_plural_subject_verb_agreement_2", |
|
"acc,none": 0.523, |
|
"acc_stderr,none": 0.0158025542467261 |
|
}, |
|
"blimp_left_branch_island_echo_question": { |
|
"alias": " - blimp_left_branch_island_echo_question", |
|
"acc,none": 0.781, |
|
"acc_stderr,none": 0.013084731950262024 |
|
}, |
|
"blimp_left_branch_island_simple_question": { |
|
"alias": " - blimp_left_branch_island_simple_question", |
|
"acc,none": 0.275, |
|
"acc_stderr,none": 0.014127086556490528 |
|
}, |
|
"blimp_matrix_question_npi_licensor_present": { |
|
"alias": " - blimp_matrix_question_npi_licensor_present", |
|
"acc,none": 0.012, |
|
"acc_stderr,none": 0.003444977194099852 |
|
}, |
|
"blimp_npi_present_1": { |
|
"alias": " - blimp_npi_present_1", |
|
"acc,none": 0.576, |
|
"acc_stderr,none": 0.01563548747140519 |
|
}, |
|
"blimp_npi_present_2": { |
|
"alias": " - blimp_npi_present_2", |
|
"acc,none": 0.49, |
|
"acc_stderr,none": 0.015816135752773203 |
|
}, |
|
"blimp_only_npi_licensor_present": { |
|
"alias": " - blimp_only_npi_licensor_present", |
|
"acc,none": 0.841, |
|
"acc_stderr,none": 0.011569479368271293 |
|
}, |
|
"blimp_only_npi_scope": { |
|
"alias": " - blimp_only_npi_scope", |
|
"acc,none": 0.489, |
|
"acc_stderr,none": 0.015815471195292682 |
|
}, |
|
"blimp_passive_1": { |
|
"alias": " - blimp_passive_1", |
|
"acc,none": 0.706, |
|
"acc_stderr,none": 0.014414290540008222 |
|
}, |
|
"blimp_passive_2": { |
|
"alias": " - blimp_passive_2", |
|
"acc,none": 0.596, |
|
"acc_stderr,none": 0.015524980677122581 |
|
}, |
|
"blimp_principle_A_c_command": { |
|
"alias": " - blimp_principle_A_c_command", |
|
"acc,none": 0.501, |
|
"acc_stderr,none": 0.015819268290576817 |
|
}, |
|
"blimp_principle_A_case_1": { |
|
"alias": " - blimp_principle_A_case_1", |
|
"acc,none": 1.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"blimp_principle_A_case_2": { |
|
"alias": " - blimp_principle_A_case_2", |
|
"acc,none": 0.408, |
|
"acc_stderr,none": 0.015549205052920678 |
|
}, |
|
"blimp_principle_A_domain_1": { |
|
"alias": " - blimp_principle_A_domain_1", |
|
"acc,none": 1.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"blimp_principle_A_domain_2": { |
|
"alias": " - blimp_principle_A_domain_2", |
|
"acc,none": 0.59, |
|
"acc_stderr,none": 0.015560917136921664 |
|
}, |
|
"blimp_principle_A_domain_3": { |
|
"alias": " - blimp_principle_A_domain_3", |
|
"acc,none": 0.515, |
|
"acc_stderr,none": 0.015812179641814895 |
|
}, |
|
"blimp_principle_A_reconstruction": { |
|
"alias": " - blimp_principle_A_reconstruction", |
|
"acc,none": 0.208, |
|
"acc_stderr,none": 0.012841374572096914 |
|
}, |
|
"blimp_regular_plural_subject_verb_agreement_1": { |
|
"alias": " - blimp_regular_plural_subject_verb_agreement_1", |
|
"acc,none": 0.449, |
|
"acc_stderr,none": 0.015736792768752034 |
|
}, |
|
"blimp_regular_plural_subject_verb_agreement_2": { |
|
"alias": " - blimp_regular_plural_subject_verb_agreement_2", |
|
"acc,none": 0.503, |
|
"acc_stderr,none": 0.015819015179246724 |
|
}, |
|
"blimp_sentential_negation_npi_licensor_present": { |
|
"alias": " - blimp_sentential_negation_npi_licensor_present", |
|
"acc,none": 1.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"blimp_sentential_negation_npi_scope": { |
|
"alias": " - blimp_sentential_negation_npi_scope", |
|
"acc,none": 0.511, |
|
"acc_stderr,none": 0.015815471195292686 |
|
}, |
|
"blimp_sentential_subject_island": { |
|
"alias": " - blimp_sentential_subject_island", |
|
"acc,none": 0.402, |
|
"acc_stderr,none": 0.015512467135715077 |
|
}, |
|
"blimp_superlative_quantifiers_1": { |
|
"alias": " - blimp_superlative_quantifiers_1", |
|
"acc,none": 0.509, |
|
"acc_stderr,none": 0.015816736995005392 |
|
}, |
|
"blimp_superlative_quantifiers_2": { |
|
"alias": " - blimp_superlative_quantifiers_2", |
|
"acc,none": 0.288, |
|
"acc_stderr,none": 0.01432694179723156 |
|
}, |
|
"blimp_tough_vs_raising_1": { |
|
"alias": " - blimp_tough_vs_raising_1", |
|
"acc,none": 0.388, |
|
"acc_stderr,none": 0.015417317979911076 |
|
}, |
|
"blimp_tough_vs_raising_2": { |
|
"alias": " - blimp_tough_vs_raising_2", |
|
"acc,none": 0.651, |
|
"acc_stderr,none": 0.015080663991563098 |
|
}, |
|
"blimp_transitive": { |
|
"alias": " - blimp_transitive", |
|
"acc,none": 0.612, |
|
"acc_stderr,none": 0.015417317979911077 |
|
}, |
|
"blimp_wh_island": { |
|
"alias": " - blimp_wh_island", |
|
"acc,none": 0.521, |
|
"acc_stderr,none": 0.015805341148131296 |
|
}, |
|
"blimp_wh_questions_object_gap": { |
|
"alias": " - blimp_wh_questions_object_gap", |
|
"acc,none": 0.443, |
|
"acc_stderr,none": 0.015716169953204108 |
|
}, |
|
"blimp_wh_questions_subject_gap": { |
|
"alias": " - blimp_wh_questions_subject_gap", |
|
"acc,none": 0.933, |
|
"acc_stderr,none": 0.007910345983177547 |
|
}, |
|
"blimp_wh_questions_subject_gap_long_distance": { |
|
"alias": " - blimp_wh_questions_subject_gap_long_distance", |
|
"acc,none": 0.969, |
|
"acc_stderr,none": 0.005483527064679197 |
|
}, |
|
"blimp_wh_vs_that_no_gap": { |
|
"alias": " - blimp_wh_vs_that_no_gap", |
|
"acc,none": 0.996, |
|
"acc_stderr,none": 0.0019969947390987295 |
|
}, |
|
"blimp_wh_vs_that_no_gap_long_distance": { |
|
"alias": " - blimp_wh_vs_that_no_gap_long_distance", |
|
"acc,none": 0.999, |
|
"acc_stderr,none": 0.001000000000000003 |
|
}, |
|
"blimp_wh_vs_that_with_gap": { |
|
"alias": " - blimp_wh_vs_that_with_gap", |
|
"acc,none": 0.005, |
|
"acc_stderr,none": 0.002231586874844885 |
|
}, |
|
"blimp_wh_vs_that_with_gap_long_distance": { |
|
"alias": " - blimp_wh_vs_that_with_gap_long_distance", |
|
"acc,none": 0.001, |
|
"acc_stderr,none": 0.0010000000000000104 |
|
}, |
|
"lambada_openai": { |
|
"alias": "lambada_openai", |
|
"perplexity,none": 1665764.6025645111, |
|
"perplexity_stderr,none": 131850.14060112563, |
|
"acc,none": 0.0, |
|
"acc_stderr,none": 0.0 |
|
}, |
|
"logiqa": { |
|
"alias": "logiqa", |
|
"acc,none": 0.20276497695852536, |
|
"acc_stderr,none": 0.015770046635584567, |
|
"acc_norm,none": 0.22734254992319508, |
|
"acc_norm_stderr,none": 0.01643906767511775 |
|
}, |
|
"mmlu": { |
|
"acc,none": 0.2293832787352229, |
|
"acc_stderr,none": 0.0035425013856205598, |
|
"alias": "mmlu" |
|
}, |
|
"mmlu_humanities": { |
|
"acc,none": 0.24187035069075452, |
|
"acc_stderr,none": 0.006241084497338493, |
|
"alias": " - humanities" |
|
}, |
|
"mmlu_formal_logic": { |
|
"alias": " - formal_logic", |
|
"acc,none": 0.2777777777777778, |
|
"acc_stderr,none": 0.040061680838488774 |
|
}, |
|
"mmlu_high_school_european_history": { |
|
"alias": " - high_school_european_history", |
|
"acc,none": 0.21818181818181817, |
|
"acc_stderr,none": 0.03225078108306289 |
|
}, |
|
"mmlu_high_school_us_history": { |
|
"alias": " - high_school_us_history", |
|
"acc,none": 0.25, |
|
"acc_stderr,none": 0.03039153369274154 |
|
}, |
|
"mmlu_high_school_world_history": { |
|
"alias": " - high_school_world_history", |
|
"acc,none": 0.270042194092827, |
|
"acc_stderr,none": 0.028900721906293426 |
|
}, |
|
"mmlu_international_law": { |
|
"alias": " - international_law", |
|
"acc,none": 0.2396694214876033, |
|
"acc_stderr,none": 0.03896878985070417 |
|
}, |
|
"mmlu_jurisprudence": { |
|
"alias": " - jurisprudence", |
|
"acc,none": 0.25925925925925924, |
|
"acc_stderr,none": 0.04236511258094634 |
|
}, |
|
"mmlu_logical_fallacies": { |
|
"alias": " - logical_fallacies", |
|
"acc,none": 0.22085889570552147, |
|
"acc_stderr,none": 0.032591773927421776 |
|
}, |
|
"mmlu_moral_disputes": { |
|
"alias": " - moral_disputes", |
|
"acc,none": 0.24855491329479767, |
|
"acc_stderr,none": 0.023267528432100174 |
|
}, |
|
"mmlu_moral_scenarios": { |
|
"alias": " - moral_scenarios", |
|
"acc,none": 0.23798882681564246, |
|
"acc_stderr,none": 0.014242630070574885 |
|
}, |
|
"mmlu_philosophy": { |
|
"alias": " - philosophy", |
|
"acc,none": 0.1864951768488746, |
|
"acc_stderr,none": 0.02212243977248077 |
|
}, |
|
"mmlu_prehistory": { |
|
"alias": " - prehistory", |
|
"acc,none": 0.21604938271604937, |
|
"acc_stderr,none": 0.022899162918445813 |
|
}, |
|
"mmlu_professional_law": { |
|
"alias": " - professional_law", |
|
"acc,none": 0.2457627118644068, |
|
"acc_stderr,none": 0.01099615663514269 |
|
}, |
|
"mmlu_world_religions": { |
|
"alias": " - world_religions", |
|
"acc,none": 0.3216374269005848, |
|
"acc_stderr,none": 0.03582529442573122 |
|
}, |
|
"mmlu_other": { |
|
"acc,none": 0.23945928548439008, |
|
"acc_stderr,none": 0.007638668301160984, |
|
"alias": " - other" |
|
}, |
|
"mmlu_business_ethics": { |
|
"alias": " - business_ethics", |
|
"acc,none": 0.3, |
|
"acc_stderr,none": 0.046056618647183814 |
|
}, |
|
"mmlu_clinical_knowledge": { |
|
"alias": " - clinical_knowledge", |
|
"acc,none": 0.21509433962264152, |
|
"acc_stderr,none": 0.025288394502891377 |
|
}, |
|
"mmlu_college_medicine": { |
|
"alias": " - college_medicine", |
|
"acc,none": 0.20809248554913296, |
|
"acc_stderr,none": 0.030952890217749884 |
|
}, |
|
"mmlu_global_facts": { |
|
"alias": " - global_facts", |
|
"acc,none": 0.18, |
|
"acc_stderr,none": 0.038612291966536955 |
|
}, |
|
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"alias": "mmlu" |
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"alias": " - social sciences" |
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"arc_easy": [], |
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"arc_challenge": [], |
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"blimp": [ |
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"blimp_adjunct_island", |
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"blimp_anaphor_gender_agreement", |
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"blimp_anaphor_number_agreement", |
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"blimp_animate_subject_passive", |
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"blimp_animate_subject_trans", |
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"blimp_causative", |
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"blimp_complex_NP_island", |
|
"blimp_coordinate_structure_constraint_complex_left_branch", |
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"blimp_coordinate_structure_constraint_object_extraction", |
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"blimp_determiner_noun_agreement_1", |
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"blimp_determiner_noun_agreement_2", |
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"blimp_determiner_noun_agreement_irregular_1", |
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"blimp_determiner_noun_agreement_irregular_2", |
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"blimp_determiner_noun_agreement_with_adj_2", |
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"blimp_determiner_noun_agreement_with_adj_irregular_1", |
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"blimp_determiner_noun_agreement_with_adj_irregular_2", |
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"blimp_determiner_noun_agreement_with_adjective_1", |
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"blimp_distractor_agreement_relational_noun", |
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"blimp_distractor_agreement_relative_clause", |
|
"blimp_drop_argument", |
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"blimp_ellipsis_n_bar_2", |
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"blimp_existential_there_object_raising", |
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"blimp_existential_there_quantifiers_1", |
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"blimp_existential_there_quantifiers_2", |
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"blimp_existential_there_subject_raising", |
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"blimp_expletive_it_object_raising", |
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"blimp_inchoative", |
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"blimp_intransitive", |
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"blimp_irregular_past_participle_adjectives", |
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"blimp_irregular_past_participle_verbs", |
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"blimp_irregular_plural_subject_verb_agreement_1", |
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"blimp_left_branch_island_echo_question", |
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"blimp_left_branch_island_simple_question", |
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"blimp_matrix_question_npi_licensor_present", |
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"blimp_npi_present_1", |
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"blimp_npi_present_2", |
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"blimp_only_npi_licensor_present", |
|
"blimp_only_npi_scope", |
|
"blimp_passive_1", |
|
"blimp_passive_2", |
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"blimp_principle_A_c_command", |
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"blimp_principle_A_case_1", |
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"blimp_principle_A_case_2", |
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"blimp_principle_A_domain_1", |
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"blimp_principle_A_domain_2", |
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"blimp_principle_A_domain_3", |
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"blimp_principle_A_reconstruction", |
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"blimp_regular_plural_subject_verb_agreement_1", |
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"blimp_regular_plural_subject_verb_agreement_2", |
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"blimp_sentential_negation_npi_licensor_present", |
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"blimp_sentential_negation_npi_scope", |
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"blimp_sentential_subject_island", |
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"blimp_superlative_quantifiers_1", |
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"blimp_superlative_quantifiers_2", |
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"blimp_tough_vs_raising_1", |
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"blimp_tough_vs_raising_2", |
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"blimp_transitive", |
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"blimp_wh_island", |
|
"blimp_wh_questions_object_gap", |
|
"blimp_wh_questions_subject_gap", |
|
"blimp_wh_questions_subject_gap_long_distance", |
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"blimp_wh_vs_that_no_gap", |
|
"blimp_wh_vs_that_no_gap_long_distance", |
|
"blimp_wh_vs_that_with_gap", |
|
"blimp_wh_vs_that_with_gap_long_distance" |
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], |
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"lambada_openai": [], |
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"logiqa": [], |
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"mmlu_humanities": [ |
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"mmlu_moral_disputes", |
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"mmlu_high_school_world_history", |
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"mmlu_philosophy", |
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"mmlu_high_school_us_history", |
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], |
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"mmlu_medical_genetics", |
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"mmlu_miscellaneous", |
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"mmlu_nutrition", |
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"mmlu_human_aging", |
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"mmlu_professional_accounting", |
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"mmlu_marketing", |
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"mmlu_professional_medicine", |
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"mmlu_virology", |
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], |
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"mmlu_high_school_computer_science", |
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"mmlu_high_school_physics", |
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"mmlu_high_school_mathematics", |
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"mmlu_computer_security", |
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"mmlu_conceptual_physics", |
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"mmlu_high_school_statistics", |
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"mmlu_college_computer_science", |
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"mmlu_anatomy", |
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"mmlu_high_school_chemistry", |
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"mmlu_abstract_algebra" |
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], |
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"mmlu_humanities" |
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], |
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"piqa": [], |
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"winogrande": [], |
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"wsc": [] |
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}, |
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"configs": { |
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"arc_challenge": { |
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"task": "arc_challenge", |
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"tag": [ |
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], |
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"dataset_path": "allenai/ai2_arc", |
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"dataset_name": "ARC-Challenge", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"doc_to_text": "Question: {{question}}\nAnswer:", |
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"doc_to_target": "{{choices.label.index(answerKey)}}", |
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"doc_to_choice": "{{choices.text}}", |
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"description": "", |
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"target_delimiter": " ", |
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"fewshot_delimiter": "\n\n", |
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"num_fewshot": 0, |
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"metric_list": [ |
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{ |
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"metric": "acc", |
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"aggregation": "mean", |
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"higher_is_better": true |
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}, |
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{ |
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"metric": "acc_norm", |
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"aggregation": "mean", |
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"higher_is_better": true |
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} |
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], |
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"output_type": "multiple_choice", |
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"repeats": 1, |
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"should_decontaminate": true, |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:", |
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"metadata": { |
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} |
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}, |
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"task": "arc_easy", |
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"tag": [ |
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], |
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"dataset_path": "allenai/ai2_arc", |
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"dataset_name": "ARC-Easy", |
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"training_split": "train", |
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"validation_split": "validation", |
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"test_split": "test", |
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"doc_to_text": "Question: {{question}}\nAnswer:", |
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"doc_to_target": "{{choices.label.index(answerKey)}}", |
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"doc_to_choice": "{{choices.text}}", |
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"description": "", |
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{ |
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} |
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"doc_to_decontamination_query": "Question: {{question}}\nAnswer:", |
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"metadata": { |
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} |
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}, |
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|
"task": "blimp_adjunct_island", |
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"dataset_name": "adjunct_island", |
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"validation_split": "train", |
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"doc_to_text": "", |
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"task": "logiqa", |
|
"dataset_path": "EleutherAI/logiqa", |
|
"dataset_name": "logiqa", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Passage: <passage>\n Question: <question>\n Choices:\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n Answer:\n \"\"\"\n choices = [\"a\", \"b\", \"c\", \"d\"]\n prompt = \"Passage: \" + doc[\"context\"] + \"\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n", |
|
"doc_to_target": "def doc_to_target(doc) -> int:\n choices = [\"a\", \"b\", \"c\", \"d\"]\n return choices.index(doc[\"label\"].strip())\n", |
|
"doc_to_choice": "{{options}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{context}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_abstract_algebra": { |
|
"task": "mmlu_abstract_algebra", |
|
"task_alias": "abstract_algebra", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "abstract_algebra", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_anatomy": { |
|
"task": "mmlu_anatomy", |
|
"task_alias": "anatomy", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "anatomy", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about anatomy.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_astronomy": { |
|
"task": "mmlu_astronomy", |
|
"task_alias": "astronomy", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "astronomy", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about astronomy.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_business_ethics": { |
|
"task": "mmlu_business_ethics", |
|
"task_alias": "business_ethics", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "business_ethics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about business ethics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_clinical_knowledge": { |
|
"task": "mmlu_clinical_knowledge", |
|
"task_alias": "clinical_knowledge", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "clinical_knowledge", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_biology": { |
|
"task": "mmlu_college_biology", |
|
"task_alias": "college_biology", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_biology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college biology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_chemistry": { |
|
"task": "mmlu_college_chemistry", |
|
"task_alias": "college_chemistry", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_chemistry", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college chemistry.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_computer_science": { |
|
"task": "mmlu_college_computer_science", |
|
"task_alias": "college_computer_science", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_computer_science", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college computer science.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_mathematics": { |
|
"task": "mmlu_college_mathematics", |
|
"task_alias": "college_mathematics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_mathematics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college mathematics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_medicine": { |
|
"task": "mmlu_college_medicine", |
|
"task_alias": "college_medicine", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_medicine", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college medicine.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_college_physics": { |
|
"task": "mmlu_college_physics", |
|
"task_alias": "college_physics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "college_physics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about college physics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_computer_security": { |
|
"task": "mmlu_computer_security", |
|
"task_alias": "computer_security", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "computer_security", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about computer security.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_conceptual_physics": { |
|
"task": "mmlu_conceptual_physics", |
|
"task_alias": "conceptual_physics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "conceptual_physics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_econometrics": { |
|
"task": "mmlu_econometrics", |
|
"task_alias": "econometrics", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "econometrics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about econometrics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_electrical_engineering": { |
|
"task": "mmlu_electrical_engineering", |
|
"task_alias": "electrical_engineering", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "electrical_engineering", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_elementary_mathematics": { |
|
"task": "mmlu_elementary_mathematics", |
|
"task_alias": "elementary_mathematics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "elementary_mathematics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_formal_logic": { |
|
"task": "mmlu_formal_logic", |
|
"task_alias": "formal_logic", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "formal_logic", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about formal logic.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_global_facts": { |
|
"task": "mmlu_global_facts", |
|
"task_alias": "global_facts", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "global_facts", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about global facts.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_biology": { |
|
"task": "mmlu_high_school_biology", |
|
"task_alias": "high_school_biology", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_biology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school biology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_chemistry": { |
|
"task": "mmlu_high_school_chemistry", |
|
"task_alias": "high_school_chemistry", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_chemistry", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_computer_science": { |
|
"task": "mmlu_high_school_computer_science", |
|
"task_alias": "high_school_computer_science", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_computer_science", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school computer science.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_european_history": { |
|
"task": "mmlu_high_school_european_history", |
|
"task_alias": "high_school_european_history", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_european_history", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school european history.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_geography": { |
|
"task": "mmlu_high_school_geography", |
|
"task_alias": "high_school_geography", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_geography", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school geography.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_government_and_politics": { |
|
"task": "mmlu_high_school_government_and_politics", |
|
"task_alias": "high_school_government_and_politics", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_government_and_politics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_macroeconomics": { |
|
"task": "mmlu_high_school_macroeconomics", |
|
"task_alias": "high_school_macroeconomics", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_macroeconomics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_mathematics": { |
|
"task": "mmlu_high_school_mathematics", |
|
"task_alias": "high_school_mathematics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_mathematics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_microeconomics": { |
|
"task": "mmlu_high_school_microeconomics", |
|
"task_alias": "high_school_microeconomics", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_microeconomics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_physics": { |
|
"task": "mmlu_high_school_physics", |
|
"task_alias": "high_school_physics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_physics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school physics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_psychology": { |
|
"task": "mmlu_high_school_psychology", |
|
"task_alias": "high_school_psychology", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_psychology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school psychology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_statistics": { |
|
"task": "mmlu_high_school_statistics", |
|
"task_alias": "high_school_statistics", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_statistics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school statistics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_us_history": { |
|
"task": "mmlu_high_school_us_history", |
|
"task_alias": "high_school_us_history", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_us_history", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school us history.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_high_school_world_history": { |
|
"task": "mmlu_high_school_world_history", |
|
"task_alias": "high_school_world_history", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "high_school_world_history", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about high school world history.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_human_aging": { |
|
"task": "mmlu_human_aging", |
|
"task_alias": "human_aging", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "human_aging", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about human aging.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_human_sexuality": { |
|
"task": "mmlu_human_sexuality", |
|
"task_alias": "human_sexuality", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "human_sexuality", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about human sexuality.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_international_law": { |
|
"task": "mmlu_international_law", |
|
"task_alias": "international_law", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "international_law", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about international law.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_jurisprudence": { |
|
"task": "mmlu_jurisprudence", |
|
"task_alias": "jurisprudence", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "jurisprudence", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_logical_fallacies": { |
|
"task": "mmlu_logical_fallacies", |
|
"task_alias": "logical_fallacies", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "logical_fallacies", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_machine_learning": { |
|
"task": "mmlu_machine_learning", |
|
"task_alias": "machine_learning", |
|
"tag": "mmlu_stem_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "machine_learning", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about machine learning.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_management": { |
|
"task": "mmlu_management", |
|
"task_alias": "management", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "management", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about management.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_marketing": { |
|
"task": "mmlu_marketing", |
|
"task_alias": "marketing", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "marketing", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about marketing.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_medical_genetics": { |
|
"task": "mmlu_medical_genetics", |
|
"task_alias": "medical_genetics", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "medical_genetics", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about medical genetics.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_miscellaneous": { |
|
"task": "mmlu_miscellaneous", |
|
"task_alias": "miscellaneous", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "miscellaneous", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_moral_disputes": { |
|
"task": "mmlu_moral_disputes", |
|
"task_alias": "moral_disputes", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "moral_disputes", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about moral disputes.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_moral_scenarios": { |
|
"task": "mmlu_moral_scenarios", |
|
"task_alias": "moral_scenarios", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "moral_scenarios", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_nutrition": { |
|
"task": "mmlu_nutrition", |
|
"task_alias": "nutrition", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "nutrition", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about nutrition.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_philosophy": { |
|
"task": "mmlu_philosophy", |
|
"task_alias": "philosophy", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "philosophy", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about philosophy.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_prehistory": { |
|
"task": "mmlu_prehistory", |
|
"task_alias": "prehistory", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "prehistory", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about prehistory.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_professional_accounting": { |
|
"task": "mmlu_professional_accounting", |
|
"task_alias": "professional_accounting", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "professional_accounting", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about professional accounting.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_professional_law": { |
|
"task": "mmlu_professional_law", |
|
"task_alias": "professional_law", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "professional_law", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about professional law.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_professional_medicine": { |
|
"task": "mmlu_professional_medicine", |
|
"task_alias": "professional_medicine", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "professional_medicine", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about professional medicine.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_professional_psychology": { |
|
"task": "mmlu_professional_psychology", |
|
"task_alias": "professional_psychology", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "professional_psychology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about professional psychology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_public_relations": { |
|
"task": "mmlu_public_relations", |
|
"task_alias": "public_relations", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "public_relations", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about public relations.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_security_studies": { |
|
"task": "mmlu_security_studies", |
|
"task_alias": "security_studies", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "security_studies", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about security studies.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_sociology": { |
|
"task": "mmlu_sociology", |
|
"task_alias": "sociology", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "sociology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about sociology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_us_foreign_policy": { |
|
"task": "mmlu_us_foreign_policy", |
|
"task_alias": "us_foreign_policy", |
|
"tag": "mmlu_social_sciences_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "us_foreign_policy", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_virology": { |
|
"task": "mmlu_virology", |
|
"task_alias": "virology", |
|
"tag": "mmlu_other_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "virology", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about virology.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"mmlu_world_religions": { |
|
"task": "mmlu_world_religions", |
|
"task_alias": "world_religions", |
|
"tag": "mmlu_humanities_tasks", |
|
"dataset_path": "hails/mmlu_no_train", |
|
"dataset_name": "world_religions", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"test_split": "test", |
|
"fewshot_split": "dev", |
|
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:", |
|
"doc_to_target": "answer", |
|
"doc_to_choice": [ |
|
"A", |
|
"B", |
|
"C", |
|
"D" |
|
], |
|
"description": "The following are multiple choice questions (with answers) about world religions.\n\n", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"fewshot_config": { |
|
"sampler": "first_n" |
|
}, |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"piqa": { |
|
"task": "piqa", |
|
"dataset_path": "piqa", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "Question: {{goal}}\nAnswer:", |
|
"doc_to_target": "label", |
|
"doc_to_choice": "{{[sol1, sol2]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "goal", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"sciq": { |
|
"task": "sciq", |
|
"dataset_path": "sciq", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "{{support.lstrip()}}\nQuestion: {{question}}\nAnswer:", |
|
"doc_to_target": 3, |
|
"doc_to_choice": "{{[distractor1, distractor2, distractor3, correct_answer]}}", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
}, |
|
{ |
|
"metric": "acc_norm", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{support}} {{question}}", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"wikitext": { |
|
"task": "wikitext", |
|
"dataset_path": "EleutherAI/wikitext_document_level", |
|
"dataset_name": "wikitext-2-raw-v1", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"test_split": "test", |
|
"doc_to_text": "", |
|
"doc_to_target": "def wikitext_detokenizer(doc):\n string = doc[\"page\"]\n # contractions\n string = string.replace(\"s '\", \"s'\")\n string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n # number separators\n string = string.replace(\" @-@ \", \"-\")\n string = string.replace(\" @,@ \", \",\")\n string = string.replace(\" @.@ \", \".\")\n # punctuation\n string = string.replace(\" : \", \": \")\n string = string.replace(\" ; \", \"; \")\n string = string.replace(\" . \", \". \")\n string = string.replace(\" ! \", \"! \")\n string = string.replace(\" ? \", \"? \")\n string = string.replace(\" , \", \", \")\n # double brackets\n string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n # miscellaneous\n string = string.replace(\"= = = =\", \"====\")\n string = string.replace(\"= = =\", \"===\")\n string = string.replace(\"= =\", \"==\")\n string = string.replace(\" \" + chr(176) + \" \", chr(176))\n string = string.replace(\" \\n\", \"\\n\")\n string = string.replace(\"\\n \", \"\\n\")\n string = string.replace(\" N \", \" 1 \")\n string = string.replace(\" 's\", \"'s\")\n\n return string\n", |
|
"process_results": "def process_results(doc, results):\n (loglikelihood,) = results\n # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n return {\n \"word_perplexity\": (loglikelihood, _words),\n \"byte_perplexity\": (loglikelihood, _bytes),\n \"bits_per_byte\": (loglikelihood, _bytes),\n }\n", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "word_perplexity" |
|
}, |
|
{ |
|
"metric": "byte_perplexity" |
|
}, |
|
{ |
|
"metric": "bits_per_byte" |
|
} |
|
], |
|
"output_type": "loglikelihood_rolling", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "{{page}}", |
|
"metadata": { |
|
"version": 2.0 |
|
} |
|
}, |
|
"winogrande": { |
|
"task": "winogrande", |
|
"dataset_path": "winogrande", |
|
"dataset_name": "winogrande_xl", |
|
"dataset_kwargs": { |
|
"trust_remote_code": true |
|
}, |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "def doc_to_text(doc):\n answer_to_num = {\"1\": 0, \"2\": 1}\n return answer_to_num[doc[\"answer\"]]\n", |
|
"doc_to_target": "def doc_to_target(doc):\n idx = doc[\"sentence\"].index(\"_\") + 1\n return doc[\"sentence\"][idx:].strip()\n", |
|
"doc_to_choice": "def doc_to_choice(doc):\n idx = doc[\"sentence\"].index(\"_\")\n options = [doc[\"option1\"], doc[\"option2\"]]\n return [doc[\"sentence\"][:idx] + opt for opt in options]\n", |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc", |
|
"aggregation": "mean", |
|
"higher_is_better": true |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": true, |
|
"doc_to_decontamination_query": "sentence", |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
}, |
|
"wsc": { |
|
"task": "wsc", |
|
"tag": [ |
|
"super-glue-lm-eval-v1" |
|
], |
|
"dataset_path": "super_glue", |
|
"dataset_name": "wsc.fixed", |
|
"training_split": "train", |
|
"validation_split": "validation", |
|
"doc_to_text": "def default_doc_to_text(x):\n raw_passage = x[\"text\"]\n # NOTE: HuggingFace span indices are word-based not character-based.\n pre = \" \".join(raw_passage.split()[: x[\"span2_index\"]])\n post = raw_passage[len(pre) + len(x[\"span2_text\"]) + 1 :]\n passage = general_detokenize(pre + \" *{}*\".format(x[\"span2_text\"]) + post)\n noun = x[\"span1_text\"]\n pronoun = x[\"span2_text\"]\n text = (\n f\"Passage: {passage}\\n\"\n + f'Question: In the passage above, does the pronoun \"*{pronoun}*\" refer to \"*{noun}*\"?\\n'\n + \"Answer:\"\n )\n return text\n", |
|
"doc_to_target": "label", |
|
"doc_to_choice": [ |
|
"no", |
|
"yes" |
|
], |
|
"description": "", |
|
"target_delimiter": " ", |
|
"fewshot_delimiter": "\n\n", |
|
"num_fewshot": 0, |
|
"metric_list": [ |
|
{ |
|
"metric": "acc" |
|
} |
|
], |
|
"output_type": "multiple_choice", |
|
"repeats": 1, |
|
"should_decontaminate": false, |
|
"metadata": { |
|
"version": 1.0 |
|
} |
|
} |
|
}, |
|
"versions": { |
|
"arc_challenge": 1.0, |
|
"arc_easy": 1.0, |
|
"blimp": 2.0, |
|
"blimp_adjunct_island": 1.0, |
|
"blimp_anaphor_gender_agreement": 1.0, |
|
"blimp_anaphor_number_agreement": 1.0, |
|
"blimp_animate_subject_passive": 1.0, |
|
"blimp_animate_subject_trans": 1.0, |
|
"blimp_causative": 1.0, |
|
"blimp_complex_NP_island": 1.0, |
|
"blimp_coordinate_structure_constraint_complex_left_branch": 1.0, |
|
"blimp_coordinate_structure_constraint_object_extraction": 1.0, |
|
"blimp_determiner_noun_agreement_1": 1.0, |
|
"blimp_determiner_noun_agreement_2": 1.0, |
|
"blimp_determiner_noun_agreement_irregular_1": 1.0, |
|
"blimp_determiner_noun_agreement_irregular_2": 1.0, |
|
"blimp_determiner_noun_agreement_with_adj_2": 1.0, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_1": 1.0, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_2": 1.0, |
|
"blimp_determiner_noun_agreement_with_adjective_1": 1.0, |
|
"blimp_distractor_agreement_relational_noun": 1.0, |
|
"blimp_distractor_agreement_relative_clause": 1.0, |
|
"blimp_drop_argument": 1.0, |
|
"blimp_ellipsis_n_bar_1": 1.0, |
|
"blimp_ellipsis_n_bar_2": 1.0, |
|
"blimp_existential_there_object_raising": 1.0, |
|
"blimp_existential_there_quantifiers_1": 1.0, |
|
"blimp_existential_there_quantifiers_2": 1.0, |
|
"blimp_existential_there_subject_raising": 1.0, |
|
"blimp_expletive_it_object_raising": 1.0, |
|
"blimp_inchoative": 1.0, |
|
"blimp_intransitive": 1.0, |
|
"blimp_irregular_past_participle_adjectives": 1.0, |
|
"blimp_irregular_past_participle_verbs": 1.0, |
|
"blimp_irregular_plural_subject_verb_agreement_1": 1.0, |
|
"blimp_irregular_plural_subject_verb_agreement_2": 1.0, |
|
"blimp_left_branch_island_echo_question": 1.0, |
|
"blimp_left_branch_island_simple_question": 1.0, |
|
"blimp_matrix_question_npi_licensor_present": 1.0, |
|
"blimp_npi_present_1": 1.0, |
|
"blimp_npi_present_2": 1.0, |
|
"blimp_only_npi_licensor_present": 1.0, |
|
"blimp_only_npi_scope": 1.0, |
|
"blimp_passive_1": 1.0, |
|
"blimp_passive_2": 1.0, |
|
"blimp_principle_A_c_command": 1.0, |
|
"blimp_principle_A_case_1": 1.0, |
|
"blimp_principle_A_case_2": 1.0, |
|
"blimp_principle_A_domain_1": 1.0, |
|
"blimp_principle_A_domain_2": 1.0, |
|
"blimp_principle_A_domain_3": 1.0, |
|
"blimp_principle_A_reconstruction": 1.0, |
|
"blimp_regular_plural_subject_verb_agreement_1": 1.0, |
|
"blimp_regular_plural_subject_verb_agreement_2": 1.0, |
|
"blimp_sentential_negation_npi_licensor_present": 1.0, |
|
"blimp_sentential_negation_npi_scope": 1.0, |
|
"blimp_sentential_subject_island": 1.0, |
|
"blimp_superlative_quantifiers_1": 1.0, |
|
"blimp_superlative_quantifiers_2": 1.0, |
|
"blimp_tough_vs_raising_1": 1.0, |
|
"blimp_tough_vs_raising_2": 1.0, |
|
"blimp_transitive": 1.0, |
|
"blimp_wh_island": 1.0, |
|
"blimp_wh_questions_object_gap": 1.0, |
|
"blimp_wh_questions_subject_gap": 1.0, |
|
"blimp_wh_questions_subject_gap_long_distance": 1.0, |
|
"blimp_wh_vs_that_no_gap": 1.0, |
|
"blimp_wh_vs_that_no_gap_long_distance": 1.0, |
|
"blimp_wh_vs_that_with_gap": 1.0, |
|
"blimp_wh_vs_that_with_gap_long_distance": 1.0, |
|
"lambada_openai": 1.0, |
|
"logiqa": 1.0, |
|
"mmlu": 2, |
|
"mmlu_abstract_algebra": 1.0, |
|
"mmlu_anatomy": 1.0, |
|
"mmlu_astronomy": 1.0, |
|
"mmlu_business_ethics": 1.0, |
|
"mmlu_clinical_knowledge": 1.0, |
|
"mmlu_college_biology": 1.0, |
|
"mmlu_college_chemistry": 1.0, |
|
"mmlu_college_computer_science": 1.0, |
|
"mmlu_college_mathematics": 1.0, |
|
"mmlu_college_medicine": 1.0, |
|
"mmlu_college_physics": 1.0, |
|
"mmlu_computer_security": 1.0, |
|
"mmlu_conceptual_physics": 1.0, |
|
"mmlu_econometrics": 1.0, |
|
"mmlu_electrical_engineering": 1.0, |
|
"mmlu_elementary_mathematics": 1.0, |
|
"mmlu_formal_logic": 1.0, |
|
"mmlu_global_facts": 1.0, |
|
"mmlu_high_school_biology": 1.0, |
|
"mmlu_high_school_chemistry": 1.0, |
|
"mmlu_high_school_computer_science": 1.0, |
|
"mmlu_high_school_european_history": 1.0, |
|
"mmlu_high_school_geography": 1.0, |
|
"mmlu_high_school_government_and_politics": 1.0, |
|
"mmlu_high_school_macroeconomics": 1.0, |
|
"mmlu_high_school_mathematics": 1.0, |
|
"mmlu_high_school_microeconomics": 1.0, |
|
"mmlu_high_school_physics": 1.0, |
|
"mmlu_high_school_psychology": 1.0, |
|
"mmlu_high_school_statistics": 1.0, |
|
"mmlu_high_school_us_history": 1.0, |
|
"mmlu_high_school_world_history": 1.0, |
|
"mmlu_human_aging": 1.0, |
|
"mmlu_human_sexuality": 1.0, |
|
"mmlu_humanities": 2, |
|
"mmlu_international_law": 1.0, |
|
"mmlu_jurisprudence": 1.0, |
|
"mmlu_logical_fallacies": 1.0, |
|
"mmlu_machine_learning": 1.0, |
|
"mmlu_management": 1.0, |
|
"mmlu_marketing": 1.0, |
|
"mmlu_medical_genetics": 1.0, |
|
"mmlu_miscellaneous": 1.0, |
|
"mmlu_moral_disputes": 1.0, |
|
"mmlu_moral_scenarios": 1.0, |
|
"mmlu_nutrition": 1.0, |
|
"mmlu_other": 2, |
|
"mmlu_philosophy": 1.0, |
|
"mmlu_prehistory": 1.0, |
|
"mmlu_professional_accounting": 1.0, |
|
"mmlu_professional_law": 1.0, |
|
"mmlu_professional_medicine": 1.0, |
|
"mmlu_professional_psychology": 1.0, |
|
"mmlu_public_relations": 1.0, |
|
"mmlu_security_studies": 1.0, |
|
"mmlu_social_sciences": 2, |
|
"mmlu_sociology": 1.0, |
|
"mmlu_stem": 2, |
|
"mmlu_us_foreign_policy": 1.0, |
|
"mmlu_virology": 1.0, |
|
"mmlu_world_religions": 1.0, |
|
"piqa": 1.0, |
|
"sciq": 1.0, |
|
"wikitext": 2.0, |
|
"winogrande": 1.0, |
|
"wsc": 1.0 |
|
}, |
|
"n-shot": { |
|
"arc_challenge": 0, |
|
"arc_easy": 0, |
|
"blimp_adjunct_island": 0, |
|
"blimp_anaphor_gender_agreement": 0, |
|
"blimp_anaphor_number_agreement": 0, |
|
"blimp_animate_subject_passive": 0, |
|
"blimp_animate_subject_trans": 0, |
|
"blimp_causative": 0, |
|
"blimp_complex_NP_island": 0, |
|
"blimp_coordinate_structure_constraint_complex_left_branch": 0, |
|
"blimp_coordinate_structure_constraint_object_extraction": 0, |
|
"blimp_determiner_noun_agreement_1": 0, |
|
"blimp_determiner_noun_agreement_2": 0, |
|
"blimp_determiner_noun_agreement_irregular_1": 0, |
|
"blimp_determiner_noun_agreement_irregular_2": 0, |
|
"blimp_determiner_noun_agreement_with_adj_2": 0, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_1": 0, |
|
"blimp_determiner_noun_agreement_with_adj_irregular_2": 0, |
|
"blimp_determiner_noun_agreement_with_adjective_1": 0, |
|
"blimp_distractor_agreement_relational_noun": 0, |
|
"blimp_distractor_agreement_relative_clause": 0, |
|
"blimp_drop_argument": 0, |
|
"blimp_ellipsis_n_bar_1": 0, |
|
"blimp_ellipsis_n_bar_2": 0, |
|
"blimp_existential_there_object_raising": 0, |
|
"blimp_existential_there_quantifiers_1": 0, |
|
"blimp_existential_there_quantifiers_2": 0, |
|
"blimp_existential_there_subject_raising": 0, |
|
"blimp_expletive_it_object_raising": 0, |
|
"blimp_inchoative": 0, |
|
"blimp_intransitive": 0, |
|
"blimp_irregular_past_participle_adjectives": 0, |
|
"blimp_irregular_past_participle_verbs": 0, |
|
"blimp_irregular_plural_subject_verb_agreement_1": 0, |
|
"blimp_irregular_plural_subject_verb_agreement_2": 0, |
|
"blimp_left_branch_island_echo_question": 0, |
|
"blimp_left_branch_island_simple_question": 0, |
|
"blimp_matrix_question_npi_licensor_present": 0, |
|
"blimp_npi_present_1": 0, |
|
"blimp_npi_present_2": 0, |
|
"blimp_only_npi_licensor_present": 0, |
|
"blimp_only_npi_scope": 0, |
|
"blimp_passive_1": 0, |
|
"blimp_passive_2": 0, |
|
"blimp_principle_A_c_command": 0, |
|
"blimp_principle_A_case_1": 0, |
|
"blimp_principle_A_case_2": 0, |
|
"blimp_principle_A_domain_1": 0, |
|
"blimp_principle_A_domain_2": 0, |
|
"blimp_principle_A_domain_3": 0, |
|
"blimp_principle_A_reconstruction": 0, |
|
"blimp_regular_plural_subject_verb_agreement_1": 0, |
|
"blimp_regular_plural_subject_verb_agreement_2": 0, |
|
"blimp_sentential_negation_npi_licensor_present": 0, |
|
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