| { | |
| "results": { | |
| "polish": { | |
| "acc,none": 0.3072715967681741, | |
| "acc_stderr,none": 0.01969090193138441, | |
| "acc_norm,none": 0.2568383472880424, | |
| "acc_norm_stderr,none": 0.025431041932479657, | |
| "f1,score-first": 0.005671732362664017, | |
| "f1_stderr,score-first": 0.0060835998620534645, | |
| "accuracy,score-first": 0.005671732362664017, | |
| "accuracy_stderr,score-first": 0.0060835998620534645, | |
| "alias": "polish" | |
| }, | |
| "belebele_pol_Latn": { | |
| "acc,none": 0.25666666666666665, | |
| "acc_stderr,none": 0.014567891342380032, | |
| "acc_norm,none": 0.25666666666666665, | |
| "acc_norm_stderr,none": 0.014567891342380032, | |
| "alias": " - belebele_pol_Latn" | |
| }, | |
| "polemo2_in": { | |
| "f1,score-first": 0.0, | |
| "f1_stderr,score-first": 0.0, | |
| "accuracy,score-first": 0.0, | |
| "accuracy_stderr,score-first": 0.0, | |
| "alias": " - polemo2_in" | |
| }, | |
| "polemo2_in_multiple_choice": { | |
| "acc,none": 0.389196675900277, | |
| "acc_stderr,none": 0.018157983819187574, | |
| "acc_norm,none": 0.2673130193905817, | |
| "acc_norm_stderr,none": 0.016481686935413936, | |
| "alias": " - polemo2_in_multiple_choice" | |
| }, | |
| "polemo2_out": { | |
| "f1,score-first": 0.0, | |
| "f1_stderr,score-first": 0.0, | |
| "accuracy,score-first": 0.0, | |
| "accuracy_stderr,score-first": 0.0, | |
| "alias": " - polemo2_out" | |
| }, | |
| "polemo2_out_multiple_choice": { | |
| "acc,none": 0.37449392712550605, | |
| "acc_stderr,none": 0.021797901981018206, | |
| "acc_norm,none": 0.36639676113360325, | |
| "acc_norm_stderr,none": 0.021700065645408245, | |
| "alias": " - polemo2_out_multiple_choice" | |
| }, | |
| "polish_8tags_multiple_choice": { | |
| "acc,none": 0.20288197621225984, | |
| "acc_stderr,none": 0.00608264743751534, | |
| "acc_norm,none": 0.11939615736505033, | |
| "acc_norm_stderr,none": 0.004904503623515018, | |
| "alias": " - polish_8tags_multiple_choice" | |
| }, | |
| "polish_8tags_regex": { | |
| "f1,score-first": 0.01989935956084172, | |
| "f1_stderr,score-first": 0.0021123432094103728, | |
| "accuracy,score-first": 0.01989935956084172, | |
| "accuracy_stderr,score-first": 0.0021123432094103728, | |
| "alias": " - polish_8tags_regex" | |
| }, | |
| "polish_belebele_regex": { | |
| "f1,score-first": 0.0011111111111111111, | |
| "f1_stderr,score-first": 0.0011111111111111124, | |
| "accuracy,score-first": 0.0011111111111111111, | |
| "accuracy_stderr,score-first": 0.0011111111111111124, | |
| "alias": " - polish_belebele_regex" | |
| }, | |
| "polish_dyk_multiple_choice": { | |
| "acc,none": 0.7677356656948494, | |
| "acc_stderr,none": 0.013170448486721168, | |
| "acc_norm,none": 0.7677356656948494, | |
| "acc_norm_stderr,none": 0.013170448486721168, | |
| "alias": " - polish_dyk_multiple_choice" | |
| }, | |
| "polish_dyk_regex": { | |
| "f1,score-first": 0.0009718172983479105, | |
| "f1_stderr,score-first": 0.0009718172983479058, | |
| "accuracy,score-first": 0.0009718172983479105, | |
| "accuracy_stderr,score-first": 0.0009718172983479058, | |
| "alias": " - polish_dyk_regex" | |
| }, | |
| "polish_ppc_multiple_choice": { | |
| "acc,none": 0.329, | |
| "acc_stderr,none": 0.014865395385928367, | |
| "acc_norm,none": 0.329, | |
| "acc_norm_stderr,none": 0.014865395385928367, | |
| "alias": " - polish_ppc_multiple_choice" | |
| }, | |
| "polish_ppc_regex": { | |
| "f1,score-first": 0.0, | |
| "f1_stderr,score-first": 0.0, | |
| "accuracy,score-first": 0.0, | |
| "accuracy_stderr,score-first": 0.0, | |
| "alias": " - polish_ppc_regex" | |
| }, | |
| "polish_psc_multiple_choice": { | |
| "acc,none": 0.588126159554731, | |
| "acc_stderr,none": 0.014997176459791973, | |
| "acc_norm,none": 0.588126159554731, | |
| "acc_norm_stderr,none": 0.014997176459791973, | |
| "alias": " - polish_psc_multiple_choice" | |
| }, | |
| "polish_psc_regex": { | |
| "f1,score-first": 0.0, | |
| "f1_stderr,score-first": 0.0, | |
| "accuracy,score-first": 0.0, | |
| "accuracy_stderr,score-first": 0.0, | |
| "alias": " - polish_psc_regex" | |
| } | |
| }, | |
| "groups": { | |
| "polish": { | |
| "acc,none": 0.3072715967681741, | |
| "acc_stderr,none": 0.01969090193138441, | |
| "acc_norm,none": 0.2568383472880424, | |
| "acc_norm_stderr,none": 0.025431041932479657, | |
| "f1,score-first": 0.005671732362664017, | |
| "f1_stderr,score-first": 0.0060835998620534645, | |
| "accuracy,score-first": 0.005671732362664017, | |
| "accuracy_stderr,score-first": 0.0060835998620534645, | |
| "alias": "polish" | |
| } | |
| }, | |
| "configs": { | |
| "belebele_pol_Latn": { | |
| "task": "belebele_pol_Latn", | |
| "group": "belebele", | |
| "dataset_path": "facebook/belebele", | |
| "test_split": "pol_Latn", | |
| "fewshot_split": "pol_Latn", | |
| "doc_to_text": "P: {{flores_passage}}\nQ: {{question.strip()}}\nA: {{mc_answer1}}\nB: {{mc_answer2}}\nC: {{mc_answer3}}\nD: {{mc_answer4}}\nAnswer：", | |
| "doc_to_target": "{{['1', '2', '3', '4'].index(correct_answer_num)}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n" | |
| }, | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{question}}", | |
| "metadata": { | |
| "version": 0.0 | |
| } | |
| }, | |
| "polemo2_in": { | |
| "task": "polemo2_in", | |
| "group": [ | |
| "polemo2" | |
| ], | |
| "dataset_path": "allegro/klej-polemo2-in", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}", | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "polemo2_in_multiple_choice": { | |
| "task": "polemo2_in_multiple_choice", | |
| "group": [ | |
| "polemo2_mc" | |
| ], | |
| "dataset_path": "allegro/klej-polemo2-in", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:", | |
| "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}", | |
| "doc_to_choice": [ | |
| "Neutralny", | |
| "Negatywny", | |
| "Pozytywny", | |
| "Niejednoznaczny" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}" | |
| }, | |
| "polemo2_out": { | |
| "task": "polemo2_out", | |
| "group": [ | |
| "polemo2" | |
| ], | |
| "dataset_path": "allegro/klej-polemo2-out", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii. Możliwe odpowiedzi:\nA - Neutralny\nB - Negatywny\nC - Pozytywny\nD - Niejednoznaczny\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}", | |
| "metadata": { | |
| "version": 1.0 | |
| } | |
| }, | |
| "polemo2_out_multiple_choice": { | |
| "task": "polemo2_out_multiple_choice", | |
| "group": [ | |
| "polemo2_mc" | |
| ], | |
| "dataset_path": "allegro/klej-polemo2-out", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Opinia: \"{{sentence}}\"\nOkreśl sentyment podanej opinii: Neutralny, Negatywny, Pozytywny, Niejednoznaczny.\nSentyment:", | |
| "doc_to_target": "{{['__label__meta_zero', '__label__meta_minus_m', '__label__meta_plus_m', '__label__meta_amb'].index(target)}}", | |
| "doc_to_choice": [ | |
| "Neutralny", | |
| "Negatywny", | |
| "Pozytywny", | |
| "Niejednoznaczny" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}" | |
| }, | |
| "polish_8tags_multiple_choice": { | |
| "task": "polish_8tags_multiple_choice", | |
| "dataset_path": "djstrong/8tags", | |
| "training_split": "train", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Tytuł: \"{{sentence}}\"\nDo podanego tytułu przyporządkuj jedną najlepiej pasującą kategorię z podanych: Film, Historia, Jedzenie, Medycyna, Motoryzacja, Praca, Sport, Technologie.\nKategoria:", | |
| "doc_to_target": "{{label|int}}", | |
| "doc_to_choice": [ | |
| "Film", | |
| "Historia", | |
| "Jedzenie", | |
| "Medycyna", | |
| "Motoryzacja", | |
| "Praca", | |
| "Sport", | |
| "Technologie" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}" | |
| }, | |
| "polish_8tags_regex": { | |
| "task": "polish_8tags_regex", | |
| "dataset_path": "djstrong/8tags", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Tytuł: \"{{sentence}}\"\nPytanie: jaka kategoria najlepiej pasuje do podanego tytułu?\nMożliwe odpowiedzi:\nA - film\nB - historia\nC - jedzenie\nD - medycyna\nE - motoryzacja\nF - praca\nG - sport\nH - technologie\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{label|int}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCDEFGH]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3, | |
| "E": 4, | |
| "F": 5, | |
| "G": 6, | |
| "H": 7 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence}}" | |
| }, | |
| "polish_belebele_regex": { | |
| "task": "polish_belebele_regex", | |
| "dataset_path": "facebook/belebele", | |
| "test_split": "pol_Latn", | |
| "doc_to_text": "Fragment: \"{{flores_passage}}\"\nPytanie: \"{{question}}\"\nMożliwe odpowiedzi:\nA - {{mc_answer1}}\nB - {{mc_answer2}}\nC - {{mc_answer3}}\nD - {{mc_answer4}}\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{correct_answer_num|int - 1}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{flores_passage}} {{question}} {{mc_answer1}} {{mc_answer2}} {{mc_answer3}} {{mc_answer4}}" | |
| }, | |
| "polish_dyk_multiple_choice": { | |
| "task": "polish_dyk_multiple_choice", | |
| "dataset_path": "allegro/klej-dyk", | |
| "training_split": "train", | |
| "test_split": "test", | |
| "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nPytanie: Czy sugerowana odpowiedź na zadane pytanie jest poprawna?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:", | |
| "doc_to_target": "{{target|int}}", | |
| "doc_to_choice": [ | |
| "Nie", | |
| "Tak" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{question}} {{answer}}" | |
| }, | |
| "polish_dyk_regex": { | |
| "task": "polish_dyk_regex", | |
| "dataset_path": "allegro/klej-dyk", | |
| "training_split": "train", | |
| "test_split": "test", | |
| "doc_to_text": "Pytanie: \"{{question}}\"\nSugerowana odpowiedź: \"{{answer}}\"\nCzy sugerowana odpowiedź na zadane pytanie jest poprawna? Możliwe opcje:\nA - brakuje sugerowanej odpowiedzi\nB - nie, sugerowana odpowiedź nie jest poprawna\nC - tak, sugerowana odpowiedź jest poprawna\nD - brakuje pytania\nPrawidłowa opcja:", | |
| "doc_to_target": "{{target|int+1}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{question}} {{answer}}" | |
| }, | |
| "polish_ppc_multiple_choice": { | |
| "task": "polish_ppc_multiple_choice", | |
| "dataset_path": "djstrong/ppc", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - znaczą dokładnie to samo\nB - mają podobne znaczenie\nC - mają różne znaczenie\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{label|int - 1}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}" | |
| }, | |
| "polish_ppc_regex": { | |
| "task": "polish_ppc_regex", | |
| "dataset_path": "djstrong/ppc", | |
| "training_split": "train", | |
| "validation_split": "validation", | |
| "test_split": "test", | |
| "doc_to_text": "Zdanie A: \"{{sentence_A}}\"\nZdanie B: \"{{sentence_B}}\"\nPytanie: jaka jest zależność między zdaniami A i B? Możliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - znaczą dokładnie to samo\nC - mają podobne znaczenie\nD - mają różne znaczenie\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{label|int}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{sentence_A}} {{sentence_B}}" | |
| }, | |
| "polish_psc_multiple_choice": { | |
| "task": "polish_psc_multiple_choice", | |
| "dataset_path": "allegro/klej-psc", | |
| "training_split": "train", | |
| "test_split": "test", | |
| "doc_to_text": "Tekst: \"{{extract_text}}\"\nPodsumowanie: \"{{summary_text}}\"\nPytanie: Czy podsumowanie dla podanego tekstu jest poprawne?\nOdpowiedz krótko \"Tak\" lub \"Nie\". Prawidłowa odpowiedź:", | |
| "doc_to_target": "{{label|int}}", | |
| "doc_to_choice": [ | |
| "Nie", | |
| "Tak" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}" | |
| }, | |
| "polish_psc_regex": { | |
| "task": "polish_psc_regex", | |
| "dataset_path": "allegro/klej-psc", | |
| "training_split": "train", | |
| "test_split": "test", | |
| "doc_to_text": "Fragment 1: \"{{extract_text}}\"\nFragment 2: \"{{summary_text}}\"\nPytanie: jaka jest zależność między fragmentami 1 i 2?\nMożliwe odpowiedzi:\nA - wszystkie odpowiedzi poprawne\nB - dotyczą tego samego artykułu\nC - dotyczą różnych artykułów\nD - brak poprawnej odpowiedzi\nPrawidłowa odpowiedź:", | |
| "doc_to_target": "{{label|int + 1}}", | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "num_fewshot": 5, | |
| "metric_list": [ | |
| { | |
| "metric": "f1", | |
| "aggregation": "mean", | |
| "higher_is_better": true, | |
| "hf_evaluate": true, | |
| "average": "micro" | |
| }, | |
| { | |
| "metric": "accuracy", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "until": [ | |
| ".", | |
| "," | |
| ], | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "max_gen_toks": 50 | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "score-first", | |
| "filter": [ | |
| { | |
| "function": "regex", | |
| "regex_pattern": "(\\b[ABCD]\\b)" | |
| }, | |
| { | |
| "function": "take_first" | |
| }, | |
| { | |
| "function": "map", | |
| "mapping_dict": { | |
| "A": 0, | |
| "B": 1, | |
| "C": 2, | |
| "D": 3 | |
| }, | |
| "default_value": -1 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "{{extract_text}} {{summary_text}}" | |
| } | |
| }, | |
| "versions": { | |
| "belebele_pol_Latn": 0.0, | |
| "polemo2_in": 1.0, | |
| "polemo2_in_multiple_choice": "Yaml", | |
| "polemo2_out": 1.0, | |
| "polemo2_out_multiple_choice": "Yaml", | |
| "polish": "N/A", | |
| "polish_8tags_multiple_choice": "Yaml", | |
| "polish_8tags_regex": "Yaml", | |
| "polish_belebele_regex": "Yaml", | |
| "polish_dyk_multiple_choice": "Yaml", | |
| "polish_dyk_regex": "Yaml", | |
| "polish_ppc_multiple_choice": "Yaml", | |
| "polish_ppc_regex": "Yaml", | |
| "polish_psc_multiple_choice": "Yaml", | |
| "polish_psc_regex": "Yaml" | |
| }, | |
| "n-shot": { | |
| "belebele_pol_Latn": 5, | |
| "polemo2_in": 5, | |
| "polemo2_in_multiple_choice": 5, | |
| "polemo2_out": 5, | |
| "polemo2_out_multiple_choice": 5, | |
| "polish": 5, | |
| "polish_8tags_multiple_choice": 5, | |
| "polish_8tags_regex": 5, | |
| "polish_belebele_regex": 5, | |
| "polish_dyk_multiple_choice": 5, | |
| "polish_dyk_regex": 5, | |
| "polish_ppc_multiple_choice": 5, | |
| "polish_ppc_regex": 5, | |
| "polish_psc_multiple_choice": 5, | |
| "polish_psc_regex": 5 | |
| }, | |
| "config": { | |
| "model": "hf", | |
| "model_args": "pretrained=Azurro/APT3-1B-Base", | |
| "batch_size": "1", | |
| "batch_sizes": [], | |
| "device": "cuda:0", | |
| "use_cache": null, | |
| "limit": null, | |
| "bootstrap_iters": 100000, | |
| "gen_kwargs": null | |
| }, | |
| "git_hash": null | |
| } |