polypythias-evals
/
pythia-70m-seed8
/step256
/EleutherAI__pythia-70m-seed8
/results_2024-07-11T19-33-19.932957.json
{ | |
"results": { | |
"blimp": { | |
"acc,none": 0.5579402985074627, | |
"acc_stderr,none": 0.0016813855590647195, | |
"alias": "blimp" | |
}, | |
"blimp_adjunct_island": { | |
"acc,none": 0.648, | |
"acc_stderr,none": 0.015110404505648562, | |
"alias": " - blimp_adjunct_island" | |
}, | |
"blimp_anaphor_gender_agreement": { | |
"acc,none": 0.29, | |
"acc_stderr,none": 0.014356395999905621, | |
"alias": " - blimp_anaphor_gender_agreement" | |
}, | |
"blimp_anaphor_number_agreement": { | |
"acc,none": 0.468, | |
"acc_stderr,none": 0.015786868759359002, | |
"alias": " - blimp_anaphor_number_agreement" | |
}, | |
"blimp_animate_subject_passive": { | |
"acc,none": 0.628, | |
"acc_stderr,none": 0.01529214994204052, | |
"alias": " - blimp_animate_subject_passive" | |
}, | |
"blimp_animate_subject_trans": { | |
"acc,none": 0.78, | |
"acc_stderr,none": 0.013106173040661862, | |
"alias": " - blimp_animate_subject_trans" | |
}, | |
"blimp_causative": { | |
"acc,none": 0.441, | |
"acc_stderr,none": 0.015708779894242766, | |
"alias": " - blimp_causative" | |
}, | |
"blimp_complex_NP_island": { | |
"acc,none": 0.438, | |
"acc_stderr,none": 0.01569721001969466, | |
"alias": " - blimp_complex_NP_island" | |
}, | |
"blimp_coordinate_structure_constraint_complex_left_branch": { | |
"acc,none": 0.227, | |
"acc_stderr,none": 0.013253174964763978, | |
"alias": " - blimp_coordinate_structure_constraint_complex_left_branch" | |
}, | |
"blimp_coordinate_structure_constraint_object_extraction": { | |
"acc,none": 0.598, | |
"acc_stderr,none": 0.015512467135714959, | |
"alias": " - blimp_coordinate_structure_constraint_object_extraction" | |
}, | |
"blimp_determiner_noun_agreement_1": { | |
"acc,none": 0.628, | |
"acc_stderr,none": 0.01529214994204052, | |
"alias": " - blimp_determiner_noun_agreement_1" | |
}, | |
"blimp_determiner_noun_agreement_2": { | |
"acc,none": 0.572, | |
"acc_stderr,none": 0.015654426245029267, | |
"alias": " - blimp_determiner_noun_agreement_2" | |
}, | |
"blimp_determiner_noun_agreement_irregular_1": { | |
"acc,none": 0.55, | |
"acc_stderr,none": 0.015740004693383918, | |
"alias": " - blimp_determiner_noun_agreement_irregular_1" | |
}, | |
"blimp_determiner_noun_agreement_irregular_2": { | |
"acc,none": 0.58, | |
"acc_stderr,none": 0.015615500115072966, | |
"alias": " - blimp_determiner_noun_agreement_irregular_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_2": { | |
"acc,none": 0.521, | |
"acc_stderr,none": 0.015805341148131185, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_1": { | |
"acc,none": 0.482, | |
"acc_stderr,none": 0.01580904569940659, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_2": { | |
"acc,none": 0.532, | |
"acc_stderr,none": 0.015786868759359002, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adjective_1": { | |
"acc,none": 0.533, | |
"acc_stderr,none": 0.015784807891138876, | |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1" | |
}, | |
"blimp_distractor_agreement_relational_noun": { | |
"acc,none": 0.341, | |
"acc_stderr,none": 0.01499813134840284, | |
"alias": " - blimp_distractor_agreement_relational_noun" | |
}, | |
"blimp_distractor_agreement_relative_clause": { | |
"acc,none": 0.395, | |
"acc_stderr,none": 0.015466551464829328, | |
"alias": " - blimp_distractor_agreement_relative_clause" | |
}, | |
"blimp_drop_argument": { | |
"acc,none": 0.726, | |
"acc_stderr,none": 0.01411109928825969, | |
"alias": " - blimp_drop_argument" | |
}, | |
"blimp_ellipsis_n_bar_1": { | |
"acc,none": 0.196, | |
"acc_stderr,none": 0.012559527926707349, | |
"alias": " - blimp_ellipsis_n_bar_1" | |
}, | |
"blimp_ellipsis_n_bar_2": { | |
"acc,none": 0.348, | |
"acc_stderr,none": 0.015070604603768328, | |
"alias": " - blimp_ellipsis_n_bar_2" | |
}, | |
"blimp_existential_there_object_raising": { | |
"acc,none": 0.805, | |
"acc_stderr,none": 0.012535235623319256, | |
"alias": " - blimp_existential_there_object_raising" | |
}, | |
"blimp_existential_there_quantifiers_1": { | |
"acc,none": 0.803, | |
"acc_stderr,none": 0.012583693787968196, | |
"alias": " - blimp_existential_there_quantifiers_1" | |
}, | |
"blimp_existential_there_quantifiers_2": { | |
"acc,none": 0.013, | |
"acc_stderr,none": 0.003583830889403662, | |
"alias": " - blimp_existential_there_quantifiers_2" | |
}, | |
"blimp_existential_there_subject_raising": { | |
"acc,none": 0.551, | |
"acc_stderr,none": 0.015736792768752044, | |
"alias": " - blimp_existential_there_subject_raising" | |
}, | |
"blimp_expletive_it_object_raising": { | |
"acc,none": 0.712, | |
"acc_stderr,none": 0.01432694179723158, | |
"alias": " - blimp_expletive_it_object_raising" | |
}, | |
"blimp_inchoative": { | |
"acc,none": 0.373, | |
"acc_stderr,none": 0.015300493622922927, | |
"alias": " - blimp_inchoative" | |
}, | |
"blimp_intransitive": { | |
"acc,none": 0.555, | |
"acc_stderr,none": 0.015723301886761007, | |
"alias": " - blimp_intransitive" | |
}, | |
"blimp_irregular_past_participle_adjectives": { | |
"acc,none": 0.803, | |
"acc_stderr,none": 0.012583693787968196, | |
"alias": " - blimp_irregular_past_participle_adjectives" | |
}, | |
"blimp_irregular_past_participle_verbs": { | |
"acc,none": 0.681, | |
"acc_stderr,none": 0.014746404865473363, | |
"alias": " - blimp_irregular_past_participle_verbs" | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_1": { | |
"acc,none": 0.556, | |
"acc_stderr,none": 0.015719768163402127, | |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1" | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_2": { | |
"acc,none": 0.602, | |
"acc_stderr,none": 0.015486634102859016, | |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2" | |
}, | |
"blimp_left_branch_island_echo_question": { | |
"acc,none": 0.696, | |
"acc_stderr,none": 0.014553205687950535, | |
"alias": " - blimp_left_branch_island_echo_question" | |
}, | |
"blimp_left_branch_island_simple_question": { | |
"acc,none": 0.328, | |
"acc_stderr,none": 0.01485384248727031, | |
"alias": " - blimp_left_branch_island_simple_question" | |
}, | |
"blimp_matrix_question_npi_licensor_present": { | |
"acc,none": 0.013, | |
"acc_stderr,none": 0.003583830889403662, | |
"alias": " - blimp_matrix_question_npi_licensor_present" | |
}, | |
"blimp_npi_present_1": { | |
"acc,none": 0.451, | |
"acc_stderr,none": 0.015743152379585443, | |
"alias": " - blimp_npi_present_1" | |
}, | |
"blimp_npi_present_2": { | |
"acc,none": 0.549, | |
"acc_stderr,none": 0.015743152379585443, | |
"alias": " - blimp_npi_present_2" | |
}, | |
"blimp_only_npi_licensor_present": { | |
"acc,none": 0.14, | |
"acc_stderr,none": 0.010978183844357888, | |
"alias": " - blimp_only_npi_licensor_present" | |
}, | |
"blimp_only_npi_scope": { | |
"acc,none": 0.509, | |
"acc_stderr,none": 0.0158167369950053, | |
"alias": " - blimp_only_npi_scope" | |
}, | |
"blimp_passive_1": { | |
"acc,none": 0.786, | |
"acc_stderr,none": 0.012975838021968847, | |
"alias": " - blimp_passive_1" | |
}, | |
"blimp_passive_2": { | |
"acc,none": 0.671, | |
"acc_stderr,none": 0.014865395385928355, | |
"alias": " - blimp_passive_2" | |
}, | |
"blimp_principle_A_c_command": { | |
"acc,none": 0.645, | |
"acc_stderr,none": 0.015139491543780598, | |
"alias": " - blimp_principle_A_c_command" | |
}, | |
"blimp_principle_A_case_1": { | |
"acc,none": 1.0, | |
"acc_stderr,none": 0.0, | |
"alias": " - blimp_principle_A_case_1" | |
}, | |
"blimp_principle_A_case_2": { | |
"acc,none": 0.515, | |
"acc_stderr,none": 0.01581217964181488, | |
"alias": " - blimp_principle_A_case_2" | |
}, | |
"blimp_principle_A_domain_1": { | |
"acc,none": 0.97, | |
"acc_stderr,none": 0.0053971408290991564, | |
"alias": " - blimp_principle_A_domain_1" | |
}, | |
"blimp_principle_A_domain_2": { | |
"acc,none": 0.582, | |
"acc_stderr,none": 0.015605111967541904, | |
"alias": " - blimp_principle_A_domain_2" | |
}, | |
"blimp_principle_A_domain_3": { | |
"acc,none": 0.53, | |
"acc_stderr,none": 0.015790799515836725, | |
"alias": " - blimp_principle_A_domain_3" | |
}, | |
"blimp_principle_A_reconstruction": { | |
"acc,none": 0.361, | |
"acc_stderr,none": 0.015195720118175049, | |
"alias": " - blimp_principle_A_reconstruction" | |
}, | |
"blimp_regular_plural_subject_verb_agreement_1": { | |
"acc,none": 0.518, | |
"acc_stderr,none": 0.01580904569940659, | |
"alias": " - blimp_regular_plural_subject_verb_agreement_1" | |
}, | |
"blimp_regular_plural_subject_verb_agreement_2": { | |
"acc,none": 0.583, | |
"acc_stderr,none": 0.015599819048769583, | |
"alias": " - blimp_regular_plural_subject_verb_agreement_2" | |
}, | |
"blimp_sentential_negation_npi_licensor_present": { | |
"acc,none": 0.996, | |
"acc_stderr,none": 0.001996994739098726, | |
"alias": " - blimp_sentential_negation_npi_licensor_present" | |
}, | |
"blimp_sentential_negation_npi_scope": { | |
"acc,none": 0.422, | |
"acc_stderr,none": 0.015625625112620622, | |
"alias": " - blimp_sentential_negation_npi_scope" | |
}, | |
"blimp_sentential_subject_island": { | |
"acc,none": 0.606, | |
"acc_stderr,none": 0.015459721957493382, | |
"alias": " - blimp_sentential_subject_island" | |
}, | |
"blimp_superlative_quantifiers_1": { | |
"acc,none": 0.524, | |
"acc_stderr,none": 0.01580106558665186, | |
"alias": " - blimp_superlative_quantifiers_1" | |
}, | |
"blimp_superlative_quantifiers_2": { | |
"acc,none": 0.605, | |
"acc_stderr,none": 0.015466551464829328, | |
"alias": " - blimp_superlative_quantifiers_2" | |
}, | |
"blimp_tough_vs_raising_1": { | |
"acc,none": 0.3, | |
"acc_stderr,none": 0.014498627873361335, | |
"alias": " - blimp_tough_vs_raising_1" | |
}, | |
"blimp_tough_vs_raising_2": { | |
"acc,none": 0.727, | |
"acc_stderr,none": 0.014095022868717513, | |
"alias": " - blimp_tough_vs_raising_2" | |
}, | |
"blimp_transitive": { | |
"acc,none": 0.655, | |
"acc_stderr,none": 0.015039986742055365, | |
"alias": " - blimp_transitive" | |
}, | |
"blimp_wh_island": { | |
"acc,none": 0.848, | |
"acc_stderr,none": 0.01135891830347525, | |
"alias": " - blimp_wh_island" | |
}, | |
"blimp_wh_questions_object_gap": { | |
"acc,none": 0.596, | |
"acc_stderr,none": 0.015524980677122437, | |
"alias": " - blimp_wh_questions_object_gap" | |
}, | |
"blimp_wh_questions_subject_gap": { | |
"acc,none": 0.929, | |
"acc_stderr,none": 0.008125578442487959, | |
"alias": " - blimp_wh_questions_subject_gap" | |
}, | |
"blimp_wh_questions_subject_gap_long_distance": { | |
"acc,none": 0.949, | |
"acc_stderr,none": 0.0069604200625714725, | |
"alias": " - blimp_wh_questions_subject_gap_long_distance" | |
}, | |
"blimp_wh_vs_that_no_gap": { | |
"acc,none": 0.991, | |
"acc_stderr,none": 0.0029879638431426726, | |
"alias": " - blimp_wh_vs_that_no_gap" | |
}, | |
"blimp_wh_vs_that_no_gap_long_distance": { | |
"acc,none": 0.996, | |
"acc_stderr,none": 0.001996994739098726, | |
"alias": " - blimp_wh_vs_that_no_gap_long_distance" | |
}, | |
"blimp_wh_vs_that_with_gap": { | |
"acc,none": 0.012, | |
"acc_stderr,none": 0.00344497719409982, | |
"alias": " - blimp_wh_vs_that_with_gap" | |
}, | |
"blimp_wh_vs_that_with_gap_long_distance": { | |
"acc,none": 0.003, | |
"acc_stderr,none": 0.0017303161543469432, | |
"alias": " - blimp_wh_vs_that_with_gap_long_distance" | |
} | |
}, | |
"groups": { | |
"blimp": { | |
"acc,none": 0.5579402985074627, | |
"acc_stderr,none": 0.0016813855590647195, | |
"alias": "blimp" | |
} | |
}, | |
"group_subtasks": { | |
"blimp": [ | |
"blimp_causative", | |
"blimp_determiner_noun_agreement_irregular_2", | |
"blimp_passive_1", | |
"blimp_wh_questions_subject_gap", | |
"blimp_irregular_plural_subject_verb_agreement_1", | |
"blimp_wh_vs_that_no_gap", | |
"blimp_complex_NP_island", | |
"blimp_principle_A_reconstruction", | |
"blimp_anaphor_number_agreement", | |
"blimp_principle_A_domain_3", | |
"blimp_anaphor_gender_agreement", | |
"blimp_irregular_past_participle_adjectives", | |
"blimp_regular_plural_subject_verb_agreement_1", | |
"blimp_sentential_subject_island", | |
"blimp_left_branch_island_simple_question", | |
"blimp_distractor_agreement_relative_clause", | |
"blimp_irregular_plural_subject_verb_agreement_2", | |
"blimp_left_branch_island_echo_question", | |
"blimp_wh_vs_that_no_gap_long_distance", | |
"blimp_ellipsis_n_bar_1", | |
"blimp_determiner_noun_agreement_1", | |
"blimp_superlative_quantifiers_2", | |
"blimp_ellipsis_n_bar_2", | |
"blimp_adjunct_island", | |
"blimp_expletive_it_object_raising", | |
"blimp_principle_A_c_command", | |
"blimp_principle_A_domain_1", | |
"blimp_superlative_quantifiers_1", | |
"blimp_only_npi_scope", | |
"blimp_tough_vs_raising_1", | |
"blimp_transitive", | |
"blimp_intransitive", | |
"blimp_wh_questions_object_gap", | |
"blimp_only_npi_licensor_present", | |
"blimp_wh_vs_that_with_gap", | |
"blimp_existential_there_quantifiers_1", | |
"blimp_coordinate_structure_constraint_complex_left_branch", | |
"blimp_principle_A_domain_2", | |
"blimp_determiner_noun_agreement_with_adj_2", | |
"blimp_wh_island", | |
"blimp_existential_there_quantifiers_2", | |
"blimp_existential_there_object_raising", | |
"blimp_determiner_noun_agreement_with_adj_irregular_1", | |
"blimp_npi_present_2", | |
"blimp_animate_subject_passive", | |
"blimp_wh_questions_subject_gap_long_distance", | |
"blimp_existential_there_subject_raising", | |
"blimp_principle_A_case_2", | |
"blimp_principle_A_case_1", | |
"blimp_wh_vs_that_with_gap_long_distance", | |
"blimp_determiner_noun_agreement_irregular_1", | |
"blimp_drop_argument", | |
"blimp_sentential_negation_npi_scope", | |
"blimp_coordinate_structure_constraint_object_extraction", | |
"blimp_determiner_noun_agreement_2", | |
"blimp_irregular_past_participle_verbs", | |
"blimp_tough_vs_raising_2", | |
"blimp_sentential_negation_npi_licensor_present", | |
"blimp_distractor_agreement_relational_noun", | |
"blimp_passive_2", | |
"blimp_determiner_noun_agreement_with_adjective_1", | |
"blimp_inchoative", | |
"blimp_animate_subject_trans", | |
"blimp_regular_plural_subject_verb_agreement_2", | |
"blimp_npi_present_1", | |
"blimp_determiner_noun_agreement_with_adj_irregular_2", | |
"blimp_matrix_question_npi_licensor_present" | |
] | |
}, | |
"configs": { | |
"blimp_adjunct_island": { | |
"task": "blimp_adjunct_island", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "adjunct_island", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_anaphor_gender_agreement": { | |
"task": "blimp_anaphor_gender_agreement", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "anaphor_gender_agreement", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_anaphor_number_agreement": { | |
"task": "blimp_anaphor_number_agreement", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "anaphor_number_agreement", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_animate_subject_passive": { | |
"task": "blimp_animate_subject_passive", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "animate_subject_passive", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_animate_subject_trans": { | |
"task": "blimp_animate_subject_trans", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "animate_subject_trans", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_causative": { | |
"task": "blimp_causative", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "causative", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_complex_NP_island": { | |
"task": "blimp_complex_NP_island", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "complex_NP_island", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_coordinate_structure_constraint_complex_left_branch": { | |
"task": "blimp_coordinate_structure_constraint_complex_left_branch", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "coordinate_structure_constraint_complex_left_branch", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_coordinate_structure_constraint_object_extraction": { | |
"task": "blimp_coordinate_structure_constraint_object_extraction", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "coordinate_structure_constraint_object_extraction", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_1": { | |
"task": "blimp_determiner_noun_agreement_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_2": { | |
"task": "blimp_determiner_noun_agreement_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_irregular_1": { | |
"task": "blimp_determiner_noun_agreement_irregular_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_irregular_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_irregular_2": { | |
"task": "blimp_determiner_noun_agreement_irregular_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_irregular_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_with_adj_2": { | |
"task": "blimp_determiner_noun_agreement_with_adj_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_with_adj_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_1": { | |
"task": "blimp_determiner_noun_agreement_with_adj_irregular_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_with_adj_irregular_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_2": { | |
"task": "blimp_determiner_noun_agreement_with_adj_irregular_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_with_adj_irregular_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_determiner_noun_agreement_with_adjective_1": { | |
"task": "blimp_determiner_noun_agreement_with_adjective_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "determiner_noun_agreement_with_adjective_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_distractor_agreement_relational_noun": { | |
"task": "blimp_distractor_agreement_relational_noun", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "distractor_agreement_relational_noun", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_distractor_agreement_relative_clause": { | |
"task": "blimp_distractor_agreement_relative_clause", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "distractor_agreement_relative_clause", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_drop_argument": { | |
"task": "blimp_drop_argument", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "drop_argument", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_ellipsis_n_bar_1": { | |
"task": "blimp_ellipsis_n_bar_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "ellipsis_n_bar_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_ellipsis_n_bar_2": { | |
"task": "blimp_ellipsis_n_bar_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "ellipsis_n_bar_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_existential_there_object_raising": { | |
"task": "blimp_existential_there_object_raising", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "existential_there_object_raising", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_existential_there_quantifiers_1": { | |
"task": "blimp_existential_there_quantifiers_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "existential_there_quantifiers_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_existential_there_quantifiers_2": { | |
"task": "blimp_existential_there_quantifiers_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "existential_there_quantifiers_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_existential_there_subject_raising": { | |
"task": "blimp_existential_there_subject_raising", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "existential_there_subject_raising", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_expletive_it_object_raising": { | |
"task": "blimp_expletive_it_object_raising", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "expletive_it_object_raising", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_inchoative": { | |
"task": "blimp_inchoative", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "inchoative", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_intransitive": { | |
"task": "blimp_intransitive", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "intransitive", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_irregular_past_participle_adjectives": { | |
"task": "blimp_irregular_past_participle_adjectives", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "irregular_past_participle_adjectives", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_irregular_past_participle_verbs": { | |
"task": "blimp_irregular_past_participle_verbs", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "irregular_past_participle_verbs", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_1": { | |
"task": "blimp_irregular_plural_subject_verb_agreement_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "irregular_plural_subject_verb_agreement_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_2": { | |
"task": "blimp_irregular_plural_subject_verb_agreement_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "irregular_plural_subject_verb_agreement_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_left_branch_island_echo_question": { | |
"task": "blimp_left_branch_island_echo_question", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "left_branch_island_echo_question", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_left_branch_island_simple_question": { | |
"task": "blimp_left_branch_island_simple_question", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "left_branch_island_simple_question", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_matrix_question_npi_licensor_present": { | |
"task": "blimp_matrix_question_npi_licensor_present", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "matrix_question_npi_licensor_present", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_npi_present_1": { | |
"task": "blimp_npi_present_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "npi_present_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_npi_present_2": { | |
"task": "blimp_npi_present_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "npi_present_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_only_npi_licensor_present": { | |
"task": "blimp_only_npi_licensor_present", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "only_npi_licensor_present", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_only_npi_scope": { | |
"task": "blimp_only_npi_scope", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "only_npi_scope", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_passive_1": { | |
"task": "blimp_passive_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "passive_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_passive_2": { | |
"task": "blimp_passive_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "passive_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_c_command": { | |
"task": "blimp_principle_A_c_command", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_c_command", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_case_1": { | |
"task": "blimp_principle_A_case_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_case_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_case_2": { | |
"task": "blimp_principle_A_case_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_case_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_domain_1": { | |
"task": "blimp_principle_A_domain_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_domain_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_domain_2": { | |
"task": "blimp_principle_A_domain_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_domain_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_domain_3": { | |
"task": "blimp_principle_A_domain_3", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_domain_3", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_principle_A_reconstruction": { | |
"task": "blimp_principle_A_reconstruction", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "principle_A_reconstruction", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_regular_plural_subject_verb_agreement_1": { | |
"task": "blimp_regular_plural_subject_verb_agreement_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "regular_plural_subject_verb_agreement_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_regular_plural_subject_verb_agreement_2": { | |
"task": "blimp_regular_plural_subject_verb_agreement_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "regular_plural_subject_verb_agreement_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_sentential_negation_npi_licensor_present": { | |
"task": "blimp_sentential_negation_npi_licensor_present", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "sentential_negation_npi_licensor_present", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_sentential_negation_npi_scope": { | |
"task": "blimp_sentential_negation_npi_scope", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "sentential_negation_npi_scope", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_sentential_subject_island": { | |
"task": "blimp_sentential_subject_island", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "sentential_subject_island", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_superlative_quantifiers_1": { | |
"task": "blimp_superlative_quantifiers_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "superlative_quantifiers_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_superlative_quantifiers_2": { | |
"task": "blimp_superlative_quantifiers_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "superlative_quantifiers_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_tough_vs_raising_1": { | |
"task": "blimp_tough_vs_raising_1", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "tough_vs_raising_1", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_tough_vs_raising_2": { | |
"task": "blimp_tough_vs_raising_2", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "tough_vs_raising_2", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_transitive": { | |
"task": "blimp_transitive", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "transitive", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_island": { | |
"task": "blimp_wh_island", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_island", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_questions_object_gap": { | |
"task": "blimp_wh_questions_object_gap", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_questions_object_gap", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_questions_subject_gap": { | |
"task": "blimp_wh_questions_subject_gap", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_questions_subject_gap", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_questions_subject_gap_long_distance": { | |
"task": "blimp_wh_questions_subject_gap_long_distance", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_questions_subject_gap_long_distance", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_vs_that_no_gap": { | |
"task": "blimp_wh_vs_that_no_gap", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_vs_that_no_gap", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_vs_that_no_gap_long_distance": { | |
"task": "blimp_wh_vs_that_no_gap_long_distance", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_vs_that_no_gap_long_distance", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_vs_that_with_gap": { | |
"task": "blimp_wh_vs_that_with_gap", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_vs_that_with_gap", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
}, | |
"blimp_wh_vs_that_with_gap_long_distance": { | |
"task": "blimp_wh_vs_that_with_gap_long_distance", | |
"group": "blimp", | |
"dataset_path": "blimp", | |
"dataset_name": "wh_vs_that_with_gap_long_distance", | |
"validation_split": "train", | |
"doc_to_text": "", | |
"doc_to_target": 0, | |
"doc_to_choice": "{{[sentence_good, sentence_bad]}}", | |
"description": "", | |
"target_delimiter": " ", | |
"fewshot_delimiter": "\n\n", | |
"num_fewshot": 0, | |
"metric_list": [ | |
{ | |
"metric": "acc" | |
} | |
], | |
"output_type": "multiple_choice", | |
"repeats": 1, | |
"should_decontaminate": true, | |
"doc_to_decontamination_query": "{{sentence_good}} {{sentence_bad}}", | |
"metadata": { | |
"version": 1.0 | |
} | |
} | |
}, | |
"versions": { | |
"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 | |
}, | |
"n-shot": { | |
"blimp": 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, | |
"blimp_sentential_negation_npi_scope": 0, | |
"blimp_sentential_subject_island": 0, | |
"blimp_superlative_quantifiers_1": 0, | |
"blimp_superlative_quantifiers_2": 0, | |
"blimp_tough_vs_raising_1": 0, | |
"blimp_tough_vs_raising_2": 0, | |
"blimp_transitive": 0, | |
"blimp_wh_island": 0, | |
"blimp_wh_questions_object_gap": 0, | |
"blimp_wh_questions_subject_gap": 0, | |
"blimp_wh_questions_subject_gap_long_distance": 0, | |
"blimp_wh_vs_that_no_gap": 0, | |
"blimp_wh_vs_that_no_gap_long_distance": 0, | |
"blimp_wh_vs_that_with_gap": 0, | |
"blimp_wh_vs_that_with_gap_long_distance": 0 | |
}, | |
"n-samples": { | |
"blimp_causative": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_irregular_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_passive_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_questions_subject_gap": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_vs_that_no_gap": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_complex_NP_island": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_reconstruction": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_anaphor_number_agreement": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_domain_3": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_anaphor_gender_agreement": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_irregular_past_participle_adjectives": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_regular_plural_subject_verb_agreement_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_sentential_subject_island": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_left_branch_island_simple_question": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_distractor_agreement_relative_clause": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_left_branch_island_echo_question": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_vs_that_no_gap_long_distance": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_ellipsis_n_bar_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_superlative_quantifiers_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_ellipsis_n_bar_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_adjunct_island": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_expletive_it_object_raising": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_c_command": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_domain_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_superlative_quantifiers_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_only_npi_scope": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_tough_vs_raising_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_transitive": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_intransitive": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_questions_object_gap": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_only_npi_licensor_present": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_vs_that_with_gap": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_existential_there_quantifiers_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_coordinate_structure_constraint_complex_left_branch": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_domain_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_with_adj_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_island": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_existential_there_quantifiers_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_existential_there_object_raising": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_npi_present_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_animate_subject_passive": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_questions_subject_gap_long_distance": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_existential_there_subject_raising": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_case_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_principle_A_case_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_wh_vs_that_with_gap_long_distance": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_irregular_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_drop_argument": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_sentential_negation_npi_scope": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_coordinate_structure_constraint_object_extraction": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_irregular_past_participle_verbs": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_tough_vs_raising_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_sentential_negation_npi_licensor_present": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_distractor_agreement_relational_noun": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_passive_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_with_adjective_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_inchoative": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_animate_subject_trans": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_regular_plural_subject_verb_agreement_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_npi_present_1": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_2": { | |
"original": 1000, | |
"effective": 1000 | |
}, | |
"blimp_matrix_question_npi_licensor_present": { | |
"original": 1000, | |
"effective": 1000 | |
} | |
}, | |
"config": { | |
"model": "hf", | |
"model_args": "pretrained=EleutherAI/pythia-70m-seed8,revision=step256,", | |
"model_num_parameters": 70426624, | |
"model_dtype": "torch.float16", | |
"model_revision": "step256", | |
"model_sha": "5e4133923ec33a034fa8c0b24158e6414993965c", | |
"batch_size": "1024", | |
"batch_sizes": [], | |
"device": "cuda", | |
"use_cache": null, | |
"limit": null, | |
"bootstrap_iters": 100000, | |
"gen_kwargs": null, | |
"random_seed": 0, | |
"numpy_seed": 1234, | |
"torch_seed": 1234, | |
"fewshot_seed": 1234 | |
}, | |
"git_hash": "51a7ca9", | |
"date": 1720750980.5988576, | |
"pretty_env_info": "PyTorch version: 2.3.0+cu121\nIs debug build: False\nCUDA used to build PyTorch: 12.1\nROCM used to build PyTorch: N/A\n\nOS: CentOS Linux release 7.9.2009 (Core) (x86_64)\nGCC version: (GCC) 12.1.0\nClang version: Could not collect\nCMake version: Could not collect\nLibc version: glibc-2.17\n\nPython version: 3.12.1 (main, Jan 12 2024, 16:49:08) [GCC 12.1.0] (64-bit runtime)\nPython platform: Linux-3.10.0-1160.119.1.el7.x86_64-x86_64-with-glibc2.17\nIs CUDA available: True\nCUDA runtime version: 12.4.99\nCUDA_MODULE_LOADING set to: LAZY\nGPU models and configuration: GPU 0: Tesla V100-SXM2-16GB\nNvidia driver version: 550.90.07\ncuDNN version: Could not collect\nHIP runtime version: N/A\nMIOpen runtime version: N/A\nIs XNNPACK available: True\n\nCPU:\nArchitecture: x86_64\nCPU op-mode(s): 32-bit, 64-bit\nByte Order: Little Endian\nCPU(s): 20\nOn-line CPU(s) list: 0-19\nThread(s) per core: 1\nCore(s) per socket: 10\nSocket(s): 2\nNUMA node(s): 2\nVendor ID: GenuineIntel\nCPU family: 6\nModel: 79\nModel name: Intel(R) Xeon(R) CPU E5-2640 v4 @ 2.40GHz\nStepping: 1\nCPU MHz: 2336.279\nCPU max MHz: 3400.0000\nCPU min MHz: 1200.0000\nBogoMIPS: 4799.68\nVirtualization: VT-x\nL1d cache: 32K\nL1i cache: 32K\nL2 cache: 256K\nL3 cache: 25600K\nNUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18\nNUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19\nFlags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf eagerfpu pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch epb cat_l3 cdp_l3 invpcid_single ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear spec_ctrl intel_stibp flush_l1d\n\nVersions of relevant libraries:\n[pip3] numpy==1.26.4\n[pip3] torch==2.3.0\n[conda] Could not collect", | |
"transformers_version": "4.40.2", | |
"upper_git_hash": null, | |
"task_hashes": {}, | |
"model_source": "hf", | |
"model_name": "EleutherAI/pythia-70m-seed8", | |
"model_name_sanitized": "EleutherAI__pythia-70m-seed8", | |
"start_time": 992175.315380273, | |
"end_time": 992830.157680489, | |
"total_evaluation_time_seconds": "654.8423002159689" | |
} |