polypythias-evals
/
pythia-70m-seed9
/step2000
/EleutherAI__pythia-70m-seed9
/results_2024-07-09T11-19-27.763937.json
{ | |
"results": { | |
"blimp": { | |
"acc,none": 0.6917313432835821, | |
"acc_stderr,none": 0.001542081644090247, | |
"alias": "blimp" | |
}, | |
"blimp_adjunct_island": { | |
"acc,none": 0.645, | |
"acc_stderr,none": 0.015139491543780598, | |
"alias": " - blimp_adjunct_island" | |
}, | |
"blimp_anaphor_gender_agreement": { | |
"acc,none": 0.914, | |
"acc_stderr,none": 0.008870325962594761, | |
"alias": " - blimp_anaphor_gender_agreement" | |
}, | |
"blimp_anaphor_number_agreement": { | |
"acc,none": 0.943, | |
"acc_stderr,none": 0.007335175853706905, | |
"alias": " - blimp_anaphor_number_agreement" | |
}, | |
"blimp_animate_subject_passive": { | |
"acc,none": 0.697, | |
"acc_stderr,none": 0.014539683710535193, | |
"alias": " - blimp_animate_subject_passive" | |
}, | |
"blimp_animate_subject_trans": { | |
"acc,none": 0.894, | |
"acc_stderr,none": 0.00973955126578524, | |
"alias": " - blimp_animate_subject_trans" | |
}, | |
"blimp_causative": { | |
"acc,none": 0.694, | |
"acc_stderr,none": 0.014580006055436898, | |
"alias": " - blimp_causative" | |
}, | |
"blimp_complex_NP_island": { | |
"acc,none": 0.437, | |
"acc_stderr,none": 0.015693223928730425, | |
"alias": " - blimp_complex_NP_island" | |
}, | |
"blimp_coordinate_structure_constraint_complex_left_branch": { | |
"acc,none": 0.182, | |
"acc_stderr,none": 0.0122075806376622, | |
"alias": " - blimp_coordinate_structure_constraint_complex_left_branch" | |
}, | |
"blimp_coordinate_structure_constraint_object_extraction": { | |
"acc,none": 0.648, | |
"acc_stderr,none": 0.015110404505648562, | |
"alias": " - blimp_coordinate_structure_constraint_object_extraction" | |
}, | |
"blimp_determiner_noun_agreement_1": { | |
"acc,none": 0.919, | |
"acc_stderr,none": 0.008632121032139986, | |
"alias": " - blimp_determiner_noun_agreement_1" | |
}, | |
"blimp_determiner_noun_agreement_2": { | |
"acc,none": 0.942, | |
"acc_stderr,none": 0.0073953154557929906, | |
"alias": " - blimp_determiner_noun_agreement_2" | |
}, | |
"blimp_determiner_noun_agreement_irregular_1": { | |
"acc,none": 0.801, | |
"acc_stderr,none": 0.01263164908309911, | |
"alias": " - blimp_determiner_noun_agreement_irregular_1" | |
}, | |
"blimp_determiner_noun_agreement_irregular_2": { | |
"acc,none": 0.901, | |
"acc_stderr,none": 0.009449248027662746, | |
"alias": " - blimp_determiner_noun_agreement_irregular_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_2": { | |
"acc,none": 0.877, | |
"acc_stderr,none": 0.010391293421849803, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_1": { | |
"acc,none": 0.707, | |
"acc_stderr,none": 0.01439994299844129, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1" | |
}, | |
"blimp_determiner_noun_agreement_with_adj_irregular_2": { | |
"acc,none": 0.819, | |
"acc_stderr,none": 0.012181436179178027, | |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_2" | |
}, | |
"blimp_determiner_noun_agreement_with_adjective_1": { | |
"acc,none": 0.85, | |
"acc_stderr,none": 0.011297239823409418, | |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1" | |
}, | |
"blimp_distractor_agreement_relational_noun": { | |
"acc,none": 0.646, | |
"acc_stderr,none": 0.015129868238451812, | |
"alias": " - blimp_distractor_agreement_relational_noun" | |
}, | |
"blimp_distractor_agreement_relative_clause": { | |
"acc,none": 0.445, | |
"acc_stderr,none": 0.015723301886761007, | |
"alias": " - blimp_distractor_agreement_relative_clause" | |
}, | |
"blimp_drop_argument": { | |
"acc,none": 0.711, | |
"acc_stderr,none": 0.014341711358296287, | |
"alias": " - blimp_drop_argument" | |
}, | |
"blimp_ellipsis_n_bar_1": { | |
"acc,none": 0.699, | |
"acc_stderr,none": 0.01451239503354321, | |
"alias": " - blimp_ellipsis_n_bar_1" | |
}, | |
"blimp_ellipsis_n_bar_2": { | |
"acc,none": 0.801, | |
"acc_stderr,none": 0.01263164908309911, | |
"alias": " - blimp_ellipsis_n_bar_2" | |
}, | |
"blimp_existential_there_object_raising": { | |
"acc,none": 0.704, | |
"acc_stderr,none": 0.01444273494157504, | |
"alias": " - blimp_existential_there_object_raising" | |
}, | |
"blimp_existential_there_quantifiers_1": { | |
"acc,none": 0.978, | |
"acc_stderr,none": 0.004640855259274689, | |
"alias": " - blimp_existential_there_quantifiers_1" | |
}, | |
"blimp_existential_there_quantifiers_2": { | |
"acc,none": 0.332, | |
"acc_stderr,none": 0.014899597242811565, | |
"alias": " - blimp_existential_there_quantifiers_2" | |
}, | |
"blimp_existential_there_subject_raising": { | |
"acc,none": 0.79, | |
"acc_stderr,none": 0.012886662332274642, | |
"alias": " - blimp_existential_there_subject_raising" | |
}, | |
"blimp_expletive_it_object_raising": { | |
"acc,none": 0.723, | |
"acc_stderr,none": 0.014158794845306273, | |
"alias": " - blimp_expletive_it_object_raising" | |
}, | |
"blimp_inchoative": { | |
"acc,none": 0.537, | |
"acc_stderr,none": 0.015775927227262426, | |
"alias": " - blimp_inchoative" | |
}, | |
"blimp_intransitive": { | |
"acc,none": 0.689, | |
"acc_stderr,none": 0.01464559638572269, | |
"alias": " - blimp_intransitive" | |
}, | |
"blimp_irregular_past_participle_adjectives": { | |
"acc,none": 0.941, | |
"acc_stderr,none": 0.007454835650406693, | |
"alias": " - blimp_irregular_past_participle_adjectives" | |
}, | |
"blimp_irregular_past_participle_verbs": { | |
"acc,none": 0.886, | |
"acc_stderr,none": 0.010055103435823278, | |
"alias": " - blimp_irregular_past_participle_verbs" | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_1": { | |
"acc,none": 0.821, | |
"acc_stderr,none": 0.012128730605719056, | |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1" | |
}, | |
"blimp_irregular_plural_subject_verb_agreement_2": { | |
"acc,none": 0.885, | |
"acc_stderr,none": 0.010093407594904551, | |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2" | |
}, | |
"blimp_left_branch_island_echo_question": { | |
"acc,none": 0.524, | |
"acc_stderr,none": 0.01580106558665186, | |
"alias": " - blimp_left_branch_island_echo_question" | |
}, | |
"blimp_left_branch_island_simple_question": { | |
"acc,none": 0.253, | |
"acc_stderr,none": 0.013754278613587126, | |
"alias": " - blimp_left_branch_island_simple_question" | |
}, | |
"blimp_matrix_question_npi_licensor_present": { | |
"acc,none": 0.29, | |
"acc_stderr,none": 0.014356395999905621, | |
"alias": " - blimp_matrix_question_npi_licensor_present" | |
}, | |
"blimp_npi_present_1": { | |
"acc,none": 0.34, | |
"acc_stderr,none": 0.014987482264363972, | |
"alias": " - blimp_npi_present_1" | |
}, | |
"blimp_npi_present_2": { | |
"acc,none": 0.361, | |
"acc_stderr,none": 0.015195720118175049, | |
"alias": " - blimp_npi_present_2" | |
}, | |
"blimp_only_npi_licensor_present": { | |
"acc,none": 0.722, | |
"acc_stderr,none": 0.014174516461485272, | |
"alias": " - blimp_only_npi_licensor_present" | |
}, | |
"blimp_only_npi_scope": { | |
"acc,none": 0.574, | |
"acc_stderr,none": 0.015645087688113762, | |
"alias": " - blimp_only_npi_scope" | |
}, | |
"blimp_passive_1": { | |
"acc,none": 0.89, | |
"acc_stderr,none": 0.00989939381972442, | |
"alias": " - blimp_passive_1" | |
}, | |
"blimp_passive_2": { | |
"acc,none": 0.882, | |
"acc_stderr,none": 0.010206869264381718, | |
"alias": " - blimp_passive_2" | |
}, | |
"blimp_principle_A_c_command": { | |
"acc,none": 0.63, | |
"acc_stderr,none": 0.015275252316519466, | |
"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": 0.857, | |
"acc_stderr,none": 0.011075814808567074, | |
"alias": " - blimp_principle_A_case_2" | |
}, | |
"blimp_principle_A_domain_1": { | |
"acc,none": 0.993, | |
"acc_stderr,none": 0.002637794146243781, | |
"alias": " - blimp_principle_A_domain_1" | |
}, | |
"blimp_principle_A_domain_2": { | |
"acc,none": 0.691, | |
"acc_stderr,none": 0.014619600977206347, | |
"alias": " - blimp_principle_A_domain_2" | |
}, | |
"blimp_principle_A_domain_3": { | |
"acc,none": 0.568, | |
"acc_stderr,none": 0.01567232023733632, | |
"alias": " - blimp_principle_A_domain_3" | |
}, | |
"blimp_principle_A_reconstruction": { | |
"acc,none": 0.414, | |
"acc_stderr,none": 0.015583544104177552, | |
"alias": " - blimp_principle_A_reconstruction" | |
}, | |
"blimp_regular_plural_subject_verb_agreement_1": { | |
"acc,none": 0.898, | |
"acc_stderr,none": 0.009575368801653944, | |
"alias": " - blimp_regular_plural_subject_verb_agreement_1" | |
}, | |
"blimp_regular_plural_subject_verb_agreement_2": { | |
"acc,none": 0.917, | |
"acc_stderr,none": 0.008728527206074756, | |
"alias": " - blimp_regular_plural_subject_verb_agreement_2" | |
}, | |
"blimp_sentential_negation_npi_licensor_present": { | |
"acc,none": 0.984, | |
"acc_stderr,none": 0.003969856390319398, | |
"alias": " - blimp_sentential_negation_npi_licensor_present" | |
}, | |
"blimp_sentential_negation_npi_scope": { | |
"acc,none": 0.319, | |
"acc_stderr,none": 0.014746404865473364, | |
"alias": " - blimp_sentential_negation_npi_scope" | |
}, | |
"blimp_sentential_subject_island": { | |
"acc,none": 0.357, | |
"acc_stderr,none": 0.01515852172148659, | |
"alias": " - blimp_sentential_subject_island" | |
}, | |
"blimp_superlative_quantifiers_1": { | |
"acc,none": 0.646, | |
"acc_stderr,none": 0.015129868238451812, | |
"alias": " - blimp_superlative_quantifiers_1" | |
}, | |
"blimp_superlative_quantifiers_2": { | |
"acc,none": 0.56, | |
"acc_stderr,none": 0.015704987954361718, | |
"alias": " - blimp_superlative_quantifiers_2" | |
}, | |
"blimp_tough_vs_raising_1": { | |
"acc,none": 0.403, | |
"acc_stderr,none": 0.015518757419066512, | |
"alias": " - blimp_tough_vs_raising_1" | |
}, | |
"blimp_tough_vs_raising_2": { | |
"acc,none": 0.831, | |
"acc_stderr,none": 0.011856625977890152, | |
"alias": " - blimp_tough_vs_raising_2" | |
}, | |
"blimp_transitive": { | |
"acc,none": 0.809, | |
"acc_stderr,none": 0.012436787112179482, | |
"alias": " - blimp_transitive" | |
}, | |
"blimp_wh_island": { | |
"acc,none": 0.574, | |
"acc_stderr,none": 0.015645087688113762, | |
"alias": " - blimp_wh_island" | |
}, | |
"blimp_wh_questions_object_gap": { | |
"acc,none": 0.558, | |
"acc_stderr,none": 0.01571250721186415, | |
"alias": " - blimp_wh_questions_object_gap" | |
}, | |
"blimp_wh_questions_subject_gap": { | |
"acc,none": 0.888, | |
"acc_stderr,none": 0.009977753031397177, | |
"alias": " - blimp_wh_questions_subject_gap" | |
}, | |
"blimp_wh_questions_subject_gap_long_distance": { | |
"acc,none": 0.923, | |
"acc_stderr,none": 0.00843458014024066, | |
"alias": " - blimp_wh_questions_subject_gap_long_distance" | |
}, | |
"blimp_wh_vs_that_no_gap": { | |
"acc,none": 0.95, | |
"acc_stderr,none": 0.006895472974897918, | |
"alias": " - blimp_wh_vs_that_no_gap" | |
}, | |
"blimp_wh_vs_that_no_gap_long_distance": { | |
"acc,none": 0.965, | |
"acc_stderr,none": 0.005814534272734903, | |
"alias": " - blimp_wh_vs_that_no_gap_long_distance" | |
}, | |
"blimp_wh_vs_that_with_gap": { | |
"acc,none": 0.209, | |
"acc_stderr,none": 0.012864077288499339, | |
"alias": " - blimp_wh_vs_that_with_gap" | |
}, | |
"blimp_wh_vs_that_with_gap_long_distance": { | |
"acc,none": 0.108, | |
"acc_stderr,none": 0.009820001651345708, | |
"alias": " - blimp_wh_vs_that_with_gap_long_distance" | |
} | |
}, | |
"groups": { | |
"blimp": { | |
"acc,none": 0.6917313432835821, | |
"acc_stderr,none": 0.001542081644090247, | |
"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-seed9,revision=step2000", | |
"model_num_parameters": 70426624, | |
"model_dtype": "torch.float16", | |
"model_revision": "step2000", | |
"model_sha": "9cb03983e6514a74ad0cf8ecb08e0894f9cfd48e", | |
"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": 1720548797.9647222, | |
"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: 3081.152\nCPU max MHz: 3400.0000\nCPU min MHz: 1200.0000\nBogoMIPS: 4800.12\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-seed9", | |
"model_name_sanitized": "EleutherAI__pythia-70m-seed9", | |
"start_time": 715058.887520681, | |
"end_time": 715503.869858027, | |
"total_evaluation_time_seconds": "444.98233734595124" | |
} |