polypythias-evals
/
pythia-70m-seed6
/step2000
/EleutherAI__pythia-70m-seed6
/results_2024-07-09T10-30-19.675713.json
| { | |
| "results": { | |
| "blimp": { | |
| "acc,none": 0.7108805970149253, | |
| "acc_stderr,none": 0.0015122667002748986, | |
| "alias": "blimp" | |
| }, | |
| "blimp_adjunct_island": { | |
| "acc,none": 0.72, | |
| "acc_stderr,none": 0.014205696104091548, | |
| "alias": " - blimp_adjunct_island" | |
| }, | |
| "blimp_anaphor_gender_agreement": { | |
| "acc,none": 0.912, | |
| "acc_stderr,none": 0.008963053962592012, | |
| "alias": " - blimp_anaphor_gender_agreement" | |
| }, | |
| "blimp_anaphor_number_agreement": { | |
| "acc,none": 0.974, | |
| "acc_stderr,none": 0.005034813735318254, | |
| "alias": " - blimp_anaphor_number_agreement" | |
| }, | |
| "blimp_animate_subject_passive": { | |
| "acc,none": 0.775, | |
| "acc_stderr,none": 0.013211720158614833, | |
| "alias": " - blimp_animate_subject_passive" | |
| }, | |
| "blimp_animate_subject_trans": { | |
| "acc,none": 0.89, | |
| "acc_stderr,none": 0.00989939381972442, | |
| "alias": " - blimp_animate_subject_trans" | |
| }, | |
| "blimp_causative": { | |
| "acc,none": 0.674, | |
| "acc_stderr,none": 0.014830507204541049, | |
| "alias": " - blimp_causative" | |
| }, | |
| "blimp_complex_NP_island": { | |
| "acc,none": 0.36, | |
| "acc_stderr,none": 0.015186527932039985, | |
| "alias": " - blimp_complex_NP_island" | |
| }, | |
| "blimp_coordinate_structure_constraint_complex_left_branch": { | |
| "acc,none": 0.318, | |
| "acc_stderr,none": 0.014734079309311901, | |
| "alias": " - blimp_coordinate_structure_constraint_complex_left_branch" | |
| }, | |
| "blimp_coordinate_structure_constraint_object_extraction": { | |
| "acc,none": 0.739, | |
| "acc_stderr,none": 0.013895037677965183, | |
| "alias": " - blimp_coordinate_structure_constraint_object_extraction" | |
| }, | |
| "blimp_determiner_noun_agreement_1": { | |
| "acc,none": 0.936, | |
| "acc_stderr,none": 0.007743640226919376, | |
| "alias": " - blimp_determiner_noun_agreement_1" | |
| }, | |
| "blimp_determiner_noun_agreement_2": { | |
| "acc,none": 0.935, | |
| "acc_stderr,none": 0.007799733061832043, | |
| "alias": " - blimp_determiner_noun_agreement_2" | |
| }, | |
| "blimp_determiner_noun_agreement_irregular_1": { | |
| "acc,none": 0.813, | |
| "acc_stderr,none": 0.012336254828074168, | |
| "alias": " - blimp_determiner_noun_agreement_irregular_1" | |
| }, | |
| "blimp_determiner_noun_agreement_irregular_2": { | |
| "acc,none": 0.907, | |
| "acc_stderr,none": 0.009188875634996669, | |
| "alias": " - blimp_determiner_noun_agreement_irregular_2" | |
| }, | |
| "blimp_determiner_noun_agreement_with_adj_2": { | |
| "acc,none": 0.881, | |
| "acc_stderr,none": 0.01024421514533661, | |
| "alias": " - blimp_determiner_noun_agreement_with_adj_2" | |
| }, | |
| "blimp_determiner_noun_agreement_with_adj_irregular_1": { | |
| "acc,none": 0.76, | |
| "acc_stderr,none": 0.013512312258920847, | |
| "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1" | |
| }, | |
| "blimp_determiner_noun_agreement_with_adj_irregular_2": { | |
| "acc,none": 0.827, | |
| "acc_stderr,none": 0.011967214137559927, | |
| "alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2" | |
| }, | |
| "blimp_determiner_noun_agreement_with_adjective_1": { | |
| "acc,none": 0.879, | |
| "acc_stderr,none": 0.010318210380946179, | |
| "alias": " - blimp_determiner_noun_agreement_with_adjective_1" | |
| }, | |
| "blimp_distractor_agreement_relational_noun": { | |
| "acc,none": 0.601, | |
| "acc_stderr,none": 0.015493193313163012, | |
| "alias": " - blimp_distractor_agreement_relational_noun" | |
| }, | |
| "blimp_distractor_agreement_relative_clause": { | |
| "acc,none": 0.435, | |
| "acc_stderr,none": 0.015685057252717346, | |
| "alias": " - blimp_distractor_agreement_relative_clause" | |
| }, | |
| "blimp_drop_argument": { | |
| "acc,none": 0.746, | |
| "acc_stderr,none": 0.013772206565168622, | |
| "alias": " - blimp_drop_argument" | |
| }, | |
| "blimp_ellipsis_n_bar_1": { | |
| "acc,none": 0.74, | |
| "acc_stderr,none": 0.013877773329774218, | |
| "alias": " - blimp_ellipsis_n_bar_1" | |
| }, | |
| "blimp_ellipsis_n_bar_2": { | |
| "acc,none": 0.793, | |
| "acc_stderr,none": 0.012818553557844009, | |
| "alias": " - blimp_ellipsis_n_bar_2" | |
| }, | |
| "blimp_existential_there_object_raising": { | |
| "acc,none": 0.794, | |
| "acc_stderr,none": 0.012795613612786522, | |
| "alias": " - blimp_existential_there_object_raising" | |
| }, | |
| "blimp_existential_there_quantifiers_1": { | |
| "acc,none": 0.968, | |
| "acc_stderr,none": 0.005568393575081328, | |
| "alias": " - blimp_existential_there_quantifiers_1" | |
| }, | |
| "blimp_existential_there_quantifiers_2": { | |
| "acc,none": 0.534, | |
| "acc_stderr,none": 0.01578268332993769, | |
| "alias": " - blimp_existential_there_quantifiers_2" | |
| }, | |
| "blimp_existential_there_subject_raising": { | |
| "acc,none": 0.773, | |
| "acc_stderr,none": 0.013253174964763977, | |
| "alias": " - blimp_existential_there_subject_raising" | |
| }, | |
| "blimp_expletive_it_object_raising": { | |
| "acc,none": 0.748, | |
| "acc_stderr,none": 0.013736254390651213, | |
| "alias": " - blimp_expletive_it_object_raising" | |
| }, | |
| "blimp_inchoative": { | |
| "acc,none": 0.534, | |
| "acc_stderr,none": 0.01578268332993769, | |
| "alias": " - blimp_inchoative" | |
| }, | |
| "blimp_intransitive": { | |
| "acc,none": 0.698, | |
| "acc_stderr,none": 0.014526080235459496, | |
| "alias": " - blimp_intransitive" | |
| }, | |
| "blimp_irregular_past_participle_adjectives": { | |
| "acc,none": 0.982, | |
| "acc_stderr,none": 0.00420638724961144, | |
| "alias": " - blimp_irregular_past_participle_adjectives" | |
| }, | |
| "blimp_irregular_past_participle_verbs": { | |
| "acc,none": 0.895, | |
| "acc_stderr,none": 0.00969892102602496, | |
| "alias": " - blimp_irregular_past_participle_verbs" | |
| }, | |
| "blimp_irregular_plural_subject_verb_agreement_1": { | |
| "acc,none": 0.801, | |
| "acc_stderr,none": 0.01263164908309911, | |
| "alias": " - blimp_irregular_plural_subject_verb_agreement_1" | |
| }, | |
| "blimp_irregular_plural_subject_verb_agreement_2": { | |
| "acc,none": 0.82, | |
| "acc_stderr,none": 0.012155153135512022, | |
| "alias": " - blimp_irregular_plural_subject_verb_agreement_2" | |
| }, | |
| "blimp_left_branch_island_echo_question": { | |
| "acc,none": 0.371, | |
| "acc_stderr,none": 0.015283736211823096, | |
| "alias": " - blimp_left_branch_island_echo_question" | |
| }, | |
| "blimp_left_branch_island_simple_question": { | |
| "acc,none": 0.311, | |
| "acc_stderr,none": 0.014645596385722692, | |
| "alias": " - blimp_left_branch_island_simple_question" | |
| }, | |
| "blimp_matrix_question_npi_licensor_present": { | |
| "acc,none": 0.411, | |
| "acc_stderr,none": 0.01556667341859915, | |
| "alias": " - blimp_matrix_question_npi_licensor_present" | |
| }, | |
| "blimp_npi_present_1": { | |
| "acc,none": 0.322, | |
| "acc_stderr,none": 0.014782913600996744, | |
| "alias": " - blimp_npi_present_1" | |
| }, | |
| "blimp_npi_present_2": { | |
| "acc,none": 0.342, | |
| "acc_stderr,none": 0.015008706182121804, | |
| "alias": " - blimp_npi_present_2" | |
| }, | |
| "blimp_only_npi_licensor_present": { | |
| "acc,none": 0.988, | |
| "acc_stderr,none": 0.00344497719409982, | |
| "alias": " - blimp_only_npi_licensor_present" | |
| }, | |
| "blimp_only_npi_scope": { | |
| "acc,none": 0.817, | |
| "acc_stderr,none": 0.012233587399477745, | |
| "alias": " - blimp_only_npi_scope" | |
| }, | |
| "blimp_passive_1": { | |
| "acc,none": 0.893, | |
| "acc_stderr,none": 0.009779910359847203, | |
| "alias": " - blimp_passive_1" | |
| }, | |
| "blimp_passive_2": { | |
| "acc,none": 0.869, | |
| "acc_stderr,none": 0.0106748748448379, | |
| "alias": " - blimp_passive_2" | |
| }, | |
| "blimp_principle_A_c_command": { | |
| "acc,none": 0.641, | |
| "acc_stderr,none": 0.01517726422479853, | |
| "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": 0.842, | |
| "acc_stderr,none": 0.011539894677559635, | |
| "alias": " - blimp_principle_A_case_2" | |
| }, | |
| "blimp_principle_A_domain_1": { | |
| "acc,none": 0.941, | |
| "acc_stderr,none": 0.007454835650406693, | |
| "alias": " - blimp_principle_A_domain_1" | |
| }, | |
| "blimp_principle_A_domain_2": { | |
| "acc,none": 0.654, | |
| "acc_stderr,none": 0.01505026612756434, | |
| "alias": " - blimp_principle_A_domain_2" | |
| }, | |
| "blimp_principle_A_domain_3": { | |
| "acc,none": 0.551, | |
| "acc_stderr,none": 0.015736792768752044, | |
| "alias": " - blimp_principle_A_domain_3" | |
| }, | |
| "blimp_principle_A_reconstruction": { | |
| "acc,none": 0.448, | |
| "acc_stderr,none": 0.01573351656634789, | |
| "alias": " - blimp_principle_A_reconstruction" | |
| }, | |
| "blimp_regular_plural_subject_verb_agreement_1": { | |
| "acc,none": 0.894, | |
| "acc_stderr,none": 0.00973955126578524, | |
| "alias": " - blimp_regular_plural_subject_verb_agreement_1" | |
| }, | |
| "blimp_regular_plural_subject_verb_agreement_2": { | |
| "acc,none": 0.836, | |
| "acc_stderr,none": 0.011715000693181425, | |
| "alias": " - blimp_regular_plural_subject_verb_agreement_2" | |
| }, | |
| "blimp_sentential_negation_npi_licensor_present": { | |
| "acc,none": 1.0, | |
| "acc_stderr,none": 0.0, | |
| "alias": " - blimp_sentential_negation_npi_licensor_present" | |
| }, | |
| "blimp_sentential_negation_npi_scope": { | |
| "acc,none": 0.31, | |
| "acc_stderr,none": 0.014632638658632765, | |
| "alias": " - blimp_sentential_negation_npi_scope" | |
| }, | |
| "blimp_sentential_subject_island": { | |
| "acc,none": 0.264, | |
| "acc_stderr,none": 0.01394627184944057, | |
| "alias": " - blimp_sentential_subject_island" | |
| }, | |
| "blimp_superlative_quantifiers_1": { | |
| "acc,none": 0.866, | |
| "acc_stderr,none": 0.010777762298369738, | |
| "alias": " - blimp_superlative_quantifiers_1" | |
| }, | |
| "blimp_superlative_quantifiers_2": { | |
| "acc,none": 0.577, | |
| "acc_stderr,none": 0.015630589090476255, | |
| "alias": " - blimp_superlative_quantifiers_2" | |
| }, | |
| "blimp_tough_vs_raising_1": { | |
| "acc,none": 0.344, | |
| "acc_stderr,none": 0.015029633724408919, | |
| "alias": " - blimp_tough_vs_raising_1" | |
| }, | |
| "blimp_tough_vs_raising_2": { | |
| "acc,none": 0.821, | |
| "acc_stderr,none": 0.012128730605719056, | |
| "alias": " - blimp_tough_vs_raising_2" | |
| }, | |
| "blimp_transitive": { | |
| "acc,none": 0.786, | |
| "acc_stderr,none": 0.012975838021968847, | |
| "alias": " - blimp_transitive" | |
| }, | |
| "blimp_wh_island": { | |
| "acc,none": 0.677, | |
| "acc_stderr,none": 0.01479492784334854, | |
| "alias": " - blimp_wh_island" | |
| }, | |
| "blimp_wh_questions_object_gap": { | |
| "acc,none": 0.628, | |
| "acc_stderr,none": 0.01529214994204052, | |
| "alias": " - blimp_wh_questions_object_gap" | |
| }, | |
| "blimp_wh_questions_subject_gap": { | |
| "acc,none": 0.871, | |
| "acc_stderr,none": 0.010605256784796466, | |
| "alias": " - blimp_wh_questions_subject_gap" | |
| }, | |
| "blimp_wh_questions_subject_gap_long_distance": { | |
| "acc,none": 0.939, | |
| "acc_stderr,none": 0.007572076091557476, | |
| "alias": " - blimp_wh_questions_subject_gap_long_distance" | |
| }, | |
| "blimp_wh_vs_that_no_gap": { | |
| "acc,none": 0.922, | |
| "acc_stderr,none": 0.00848457353011853, | |
| "alias": " - blimp_wh_vs_that_no_gap" | |
| }, | |
| "blimp_wh_vs_that_no_gap_long_distance": { | |
| "acc,none": 0.963, | |
| "acc_stderr,none": 0.0059721576223896395, | |
| "alias": " - blimp_wh_vs_that_no_gap_long_distance" | |
| }, | |
| "blimp_wh_vs_that_with_gap": { | |
| "acc,none": 0.25, | |
| "acc_stderr,none": 0.013699915608779773, | |
| "alias": " - blimp_wh_vs_that_with_gap" | |
| }, | |
| "blimp_wh_vs_that_with_gap_long_distance": { | |
| "acc,none": 0.118, | |
| "acc_stderr,none": 0.010206869264381718, | |
| "alias": " - blimp_wh_vs_that_with_gap_long_distance" | |
| } | |
| }, | |
| "groups": { | |
| "blimp": { | |
| "acc,none": 0.7108805970149253, | |
| "acc_stderr,none": 0.0015122667002748986, | |
| "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-seed6,revision=step2000", | |
| "model_num_parameters": 70426624, | |
| "model_dtype": "torch.float16", | |
| "model_revision": "step2000", | |
| "model_sha": "ab137c7c9a6120932faf601f04bbabc8e76177a9", | |
| "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": 1720545864.0214574, | |
| "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-PCIE-32GB\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): 24\nOn-line CPU(s) list: 0-23\nThread(s) per core: 1\nCore(s) per socket: 12\nSocket(s): 2\nNUMA node(s): 2\nVendor ID: GenuineIntel\nCPU family: 6\nModel: 85\nModel name: Intel(R) Xeon(R) Gold 5118 CPU @ 2.30GHz\nStepping: 4\nCPU MHz: 2972.845\nCPU max MHz: 3200.0000\nCPU min MHz: 1000.0000\nBogoMIPS: 4600.00\nVirtualization: VT-x\nL1d cache: 32K\nL1i cache: 32K\nL2 cache: 1024K\nL3 cache: 16896K\nNUMA node0 CPU(s): 0,2,4,6,8,10,12,14,16,18,20,22\nNUMA node1 CPU(s): 1,3,5,7,9,11,13,15,17,19,21,23\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 art 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 intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke md_clear spec_ctrl intel_stibp flush_l1d arch_capabilities\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-seed6", | |
| "model_name_sanitized": "EleutherAI__pythia-70m-seed6", | |
| "start_time": 702153.697310613, | |
| "end_time": 702552.2317475, | |
| "total_evaluation_time_seconds": "398.5344368870137" | |
| } |