| { | |
| "results": { | |
| "assin2_rte": { | |
| "f1_macro,all": 0.8836486323653452, | |
| "acc,all": 0.8839869281045751, | |
| "alias": "assin2_rte" | |
| }, | |
| "assin2_sts": { | |
| "pearson,all": 0.6678266192299295, | |
| "mse,all": 0.6669526143790849, | |
| "alias": "assin2_sts" | |
| }, | |
| "bluex": { | |
| "acc,all": 0.47983310152990266, | |
| "acc,exam_id__USP_2021": 0.36538461538461536, | |
| "acc,exam_id__UNICAMP_2021_2": 0.37254901960784315, | |
| "acc,exam_id__UNICAMP_2023": 0.4418604651162791, | |
| "acc,exam_id__UNICAMP_2021_1": 0.45652173913043476, | |
| "acc,exam_id__USP_2024": 0.7073170731707317, | |
| "acc,exam_id__UNICAMP_2018": 0.42592592592592593, | |
| "acc,exam_id__USP_2022": 0.5510204081632653, | |
| "acc,exam_id__UNICAMP_2020": 0.4909090909090909, | |
| "acc,exam_id__USP_2018": 0.5, | |
| "acc,exam_id__USP_2020": 0.42857142857142855, | |
| "acc,exam_id__UNICAMP_2022": 0.46153846153846156, | |
| "acc,exam_id__USP_2019": 0.425, | |
| "acc,exam_id__USP_2023": 0.5909090909090909, | |
| "acc,exam_id__UNICAMP_2019": 0.56, | |
| "acc,exam_id__UNICAMP_2024": 0.4666666666666667, | |
| "alias": "bluex" | |
| }, | |
| "enem_challenge": { | |
| "alias": "enem", | |
| "acc,all": 0.5787263820853744, | |
| "acc,exam_id__2016_2": 0.5284552845528455, | |
| "acc,exam_id__2009": 0.591304347826087, | |
| "acc,exam_id__2011": 0.6666666666666666, | |
| "acc,exam_id__2012": 0.6206896551724138, | |
| "acc,exam_id__2013": 0.5925925925925926, | |
| "acc,exam_id__2016": 0.5537190082644629, | |
| "acc,exam_id__2022": 0.5037593984962406, | |
| "acc,exam_id__2023": 0.5777777777777777, | |
| "acc,exam_id__2010": 0.5555555555555556, | |
| "acc,exam_id__2014": 0.5963302752293578, | |
| "acc,exam_id__2015": 0.6218487394957983, | |
| "acc,exam_id__2017": 0.5517241379310345 | |
| }, | |
| "faquad_nli": { | |
| "f1_macro,all": 0.7017672651113582, | |
| "acc,all": 0.7384615384615385, | |
| "alias": "faquad_nli" | |
| }, | |
| "hatebr_offensive": { | |
| "alias": "hatebr_offensive_binary", | |
| "f1_macro,all": 0.8176778106453834, | |
| "acc,all": 0.82 | |
| }, | |
| "oab_exams": { | |
| "acc,all": 0.3931662870159453, | |
| "acc,exam_id__2010-02": 0.46, | |
| "acc,exam_id__2016-19": 0.5, | |
| "acc,exam_id__2015-17": 0.4358974358974359, | |
| "acc,exam_id__2016-21": 0.4, | |
| "acc,exam_id__2017-24": 0.325, | |
| "acc,exam_id__2012-09": 0.37662337662337664, | |
| "acc,exam_id__2011-04": 0.3125, | |
| "acc,exam_id__2017-23": 0.4375, | |
| "acc,exam_id__2011-03": 0.41414141414141414, | |
| "acc,exam_id__2012-07": 0.3375, | |
| "acc,exam_id__2012-06": 0.375, | |
| "acc,exam_id__2014-13": 0.35, | |
| "acc,exam_id__2016-20a": 0.225, | |
| "acc,exam_id__2011-05": 0.3875, | |
| "acc,exam_id__2015-18": 0.425, | |
| "acc,exam_id__2014-15": 0.5384615384615384, | |
| "acc,exam_id__2018-25": 0.4125, | |
| "acc,exam_id__2017-22": 0.425, | |
| "acc,exam_id__2013-11": 0.425, | |
| "acc,exam_id__2014-14": 0.3625, | |
| "acc,exam_id__2013-10": 0.3375, | |
| "acc,exam_id__2010-01": 0.32941176470588235, | |
| "acc,exam_id__2013-12": 0.475, | |
| "acc,exam_id__2015-16": 0.3875, | |
| "acc,exam_id__2012-06a": 0.3875, | |
| "acc,exam_id__2016-20": 0.3875, | |
| "acc,exam_id__2012-08": 0.375, | |
| "alias": "oab_exams" | |
| }, | |
| "portuguese_hate_speech": { | |
| "alias": "portuguese_hate_speech_binary", | |
| "f1_macro,all": 0.6658626171810755, | |
| "acc,all": 0.6886016451233843 | |
| }, | |
| "tweetsentbr": { | |
| "f1_macro,all": 0.614191091794639, | |
| "acc,all": 0.6681592039800995, | |
| "alias": "tweetsentbr" | |
| } | |
| }, | |
| "configs": { | |
| "assin2_rte": { | |
| "task": "assin2_rte", | |
| "group": [ | |
| "pt_benchmark", | |
| "assin2" | |
| ], | |
| "dataset_path": "assin2", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Premissa: {{premise}}\nHipótese: {{hypothesis}}\nPergunta: A hipótese pode ser inferida pela premissa? Sim ou Não?\nResposta:", | |
| "doc_to_target": "{{['Não', 'Sim'][entailment_judgment]}}", | |
| "description": "Abaixo estão pares de premissa e hipótese. Para cada par, indique se a hipótese pode ser inferida a partir da premissa, responda apenas com \"Sim\" ou \"Não\".\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
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| ], | |
| "id_column": "sentence_pair_id" | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Sim", | |
| "Não" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "assin2_sts": { | |
| "task": "assin2_sts", | |
| "group": [ | |
| "pt_benchmark", | |
| "assin2" | |
| ], | |
| "dataset_path": "assin2", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Frase 1: {{premise}}\nFrase 2: {{hypothesis}}\nPergunta: Quão similares são as duas frases? Dê uma pontuação entre 1,0 a 5,0.\nResposta:", | |
| "doc_to_target": "<function assin2_float_to_pt_str at 0x7fd79f4a5120>", | |
| "description": "Abaixo estão pares de frases que você deve avaliar o grau de similaridade. Dê uma pontuação entre 1,0 e 5,0, sendo 1,0 pouco similar e 5,0 muito similar.\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| 1, | |
| 3251, | |
| 2, | |
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| 7, | |
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| 3255, | |
| 3256, | |
| 8, | |
| 9, | |
| 10, | |
| 3257, | |
| 11, | |
| 3258, | |
| 12, | |
| 13, | |
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| 15, | |
| 3259, | |
| 3260, | |
| 3261, | |
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| ], | |
| "id_column": "sentence_pair_id" | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "pearson", | |
| "aggregation": "pearsonr", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "mse", | |
| "aggregation": "mean_squared_error", | |
| "higher_is_better": false | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "number_filter", | |
| "type": "float", | |
| "range_min": 1.0, | |
| "range_max": 5.0, | |
| "on_outside_range": "clip", | |
| "fallback": 5.0 | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "bluex": { | |
| "task": "bluex", | |
| "group": [ | |
| "pt_benchmark", | |
| "vestibular" | |
| ], | |
| "dataset_path": "eduagarcia-temp/BLUEX_without_images", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function enem_doc_to_text at 0x7fd79f4a4ae0>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir são questões de múltipla escolha de provas de vestibular de universidades brasileiras, selecione a única alternativa correta e responda apenas com as letras \"A\", \"B\", \"C\", \"D\" ou \"E\".\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| "USP_2018_3", | |
| "UNICAMP_2018_2", | |
| "USP_2018_35", | |
| "UNICAMP_2018_16", | |
| "USP_2018_89" | |
| ], | |
| "id_column": "id", | |
| "exclude_from_task": true | |
| } | |
| }, | |
| "num_fewshot": 3, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "normalize_spaces" | |
| }, | |
| { | |
| "function": "remove_accents" | |
| }, | |
| { | |
| "function": "find_choices", | |
| "choices": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D", | |
| "E" | |
| ], | |
| "regex_patterns": [ | |
| "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b", | |
| "\\b([ABCDE])\\.", | |
| "\\b([ABCDE]) ?[.):-]", | |
| "\\b([ABCDE])$", | |
| "\\b([ABCDE])\\b" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ], | |
| "group_by": { | |
| "column": "exam_id" | |
| } | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fd79f4a4d60>", | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "enem_challenge": { | |
| "task": "enem_challenge", | |
| "task_alias": "enem", | |
| "group": [ | |
| "pt_benchmark", | |
| "vestibular" | |
| ], | |
| "dataset_path": "eduagarcia/enem_challenge", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function enem_doc_to_text at 0x7fd79f4a5300>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir são questões de múltipla escolha do Exame Nacional do Ensino Médio (ENEM), selecione a única alternativa correta e responda apenas com as letras \"A\", \"B\", \"C\", \"D\" ou \"E\".\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
| "sampler_config": { | |
| "id_list": [ | |
| "2022_21", | |
| "2022_88", | |
| "2022_143" | |
| ], | |
| "id_column": "id", | |
| "exclude_from_task": true | |
| } | |
| }, | |
| "num_fewshot": 3, | |
| "metric_list": [ | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "normalize_spaces" | |
| }, | |
| { | |
| "function": "remove_accents" | |
| }, | |
| { | |
| "function": "find_choices", | |
| "choices": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D", | |
| "E" | |
| ], | |
| "regex_patterns": [ | |
| "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b", | |
| "\\b([ABCDE])\\.", | |
| "\\b([ABCDE]) ?[.):-]", | |
| "\\b([ABCDE])$", | |
| "\\b([ABCDE])\\b" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ], | |
| "group_by": { | |
| "column": "exam_id" | |
| } | |
| } | |
| ], | |
| "should_decontaminate": true, | |
| "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fd79f4a5580>", | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "faquad_nli": { | |
| "task": "faquad_nli", | |
| "group": [ | |
| "pt_benchmark" | |
| ], | |
| "dataset_path": "ruanchaves/faquad-nli", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Pergunta: {{question}}\nResposta: {{answer}}\nA resposta dada satisfaz à pergunta? Sim ou Não?", | |
| "doc_to_target": "{{['Não', 'Sim'][label]}}", | |
| "description": "Abaixo estão pares de pergunta e resposta. Para cada par, você deve julgar se a resposta responde à pergunta de maneira satisfatória e aparenta estar correta. Escreva apenas \"Sim\" ou \"Não\".\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "first_n", | |
| "sampler_config": { | |
| "fewshot_indices": [ | |
| 1893, | |
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| 2227, | |
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| 974, | |
| 558, | |
| 1503, | |
| 1958, | |
| 2918, | |
| 601, | |
| 1560, | |
| 984, | |
| 2388, | |
| 995, | |
| 2233, | |
| 1982, | |
| 165, | |
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| 522, | |
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| 2022, | |
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| ] | |
| } | |
| }, | |
| "num_fewshot": 15, | |
| "metric_list": [ | |
| { | |
| "metric": "f1_macro", | |
| "aggregation": "f1_macro", | |
| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc", | |
| "aggregation": "acc", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "generate_until", | |
| "generation_kwargs": { | |
| "max_gen_toks": 32, | |
| "do_sample": false, | |
| "temperature": 0.0, | |
| "top_k": null, | |
| "top_p": null, | |
| "until": [ | |
| "\n\n" | |
| ] | |
| }, | |
| "repeats": 1, | |
| "filter_list": [ | |
| { | |
| "name": "all", | |
| "filter": [ | |
| { | |
| "function": "find_similar_label", | |
| "labels": [ | |
| "Sim", | |
| "Não" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "hatebr_offensive": { | |
| "task": "hatebr_offensive", | |
| "task_alias": "hatebr_offensive_binary", | |
| "group": [ | |
| "pt_benchmark" | |
| ], | |
| "dataset_path": "eduagarcia/portuguese_benchmark", | |
| "dataset_name": "HateBR_offensive_binary", | |
| "test_split": "test", | |
| "fewshot_split": "train", | |
| "doc_to_text": "Texto: {{sentence}}\nPergunta: O texto é ofensivo?\nResposta:", | |
| "doc_to_target": "{{'Sim' if label == 1 else 'Não'}}", | |
| "description": "Abaixo contém o texto de comentários de usuários do Instagram em português, sua tarefa é classificar se o texto é ofensivo ou não. Responda apenas com \"Sim\" ou \"Não\".\n\n", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
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| "Não" | |
| ] | |
| }, | |
| { | |
| "function": "take_first" | |
| } | |
| ] | |
| } | |
| ], | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
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| "task": "oab_exams", | |
| "group": [ | |
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| "pt_benchmark" | |
| ], | |
| "dataset_path": "eduagarcia/oab_exams", | |
| "test_split": "train", | |
| "fewshot_split": "train", | |
| "doc_to_text": "<function doc_to_text at 0x7fd79f4a44a0>", | |
| "doc_to_target": "{{answerKey}}", | |
| "description": "As perguntas a seguir são questões de múltipla escolha do Exame de Ordem da Ordem dos Advogados do Brasil (OAB), selecione a única alternativa correta e responda apenas com as letras \"A\", \"B\", \"C\" ou \"D\".\n\n", | |
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| "fewshot_delimiter": "\n\n", | |
| "fewshot_config": { | |
| "sampler": "id_sampler", | |
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| "2010-01_11", | |
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| "2010-01_38", | |
| "2010-01_48", | |
| "2010-01_58", | |
| "2010-01_68", | |
| "2010-01_76", | |
| "2010-01_83", | |
| "2010-01_85", | |
| "2010-01_91", | |
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| "config": { | |
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