{
"results": {
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"f1_macro,all": 0.7574463542222696,
"acc,all": 0.7679738562091504,
"alias": "assin2_rte"
},
"assin2_sts": {
"pearson,all": 0.3059276997249324,
"mse,all": 1.9058129084967315,
"alias": "assin2_sts"
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"bluex": {
"acc,all": 0.49791376912378305,
"acc,exam_id__USP_2018": 0.4444444444444444,
"acc,exam_id__USP_2024": 0.5853658536585366,
"acc,exam_id__USP_2021": 0.5192307692307693,
"acc,exam_id__UNICAMP_2021_1": 0.5,
"acc,exam_id__USP_2020": 0.5714285714285714,
"acc,exam_id__USP_2022": 0.4489795918367347,
"acc,exam_id__UNICAMP_2022": 0.48717948717948717,
"acc,exam_id__UNICAMP_2020": 0.5454545454545454,
"acc,exam_id__USP_2023": 0.6363636363636364,
"acc,exam_id__USP_2019": 0.375,
"acc,exam_id__UNICAMP_2023": 0.5581395348837209,
"acc,exam_id__UNICAMP_2024": 0.5555555555555556,
"acc,exam_id__UNICAMP_2021_2": 0.39215686274509803,
"acc,exam_id__UNICAMP_2019": 0.5,
"acc,exam_id__UNICAMP_2018": 0.37037037037037035,
"alias": "bluex"
},
"enem_challenge": {
"alias": "enem",
"acc,all": 0.5703289013296011,
"acc,exam_id__2023": 0.6296296296296297,
"acc,exam_id__2009": 0.5304347826086957,
"acc,exam_id__2013": 0.5277777777777778,
"acc,exam_id__2011": 0.6495726495726496,
"acc,exam_id__2014": 0.5688073394495413,
"acc,exam_id__2016_2": 0.5528455284552846,
"acc,exam_id__2022": 0.5714285714285714,
"acc,exam_id__2017": 0.5948275862068966,
"acc,exam_id__2016": 0.5619834710743802,
"acc,exam_id__2015": 0.5630252100840336,
"acc,exam_id__2012": 0.5431034482758621,
"acc,exam_id__2010": 0.5384615384615384
},
"faquad_nli": {
"f1_macro,all": 0.4471267110923455,
"acc,all": 0.7861538461538462,
"alias": "faquad_nli"
},
"oab_exams": {
"acc,all": 0.4419134396355353,
"acc,exam_id__2010-01": 0.32941176470588235,
"acc,exam_id__2017-24": 0.4,
"acc,exam_id__2016-21": 0.4875,
"acc,exam_id__2016-19": 0.4358974358974359,
"acc,exam_id__2013-12": 0.5,
"acc,exam_id__2015-17": 0.46153846153846156,
"acc,exam_id__2012-09": 0.33766233766233766,
"acc,exam_id__2014-14": 0.4875,
"acc,exam_id__2013-10": 0.45,
"acc,exam_id__2012-06a": 0.5125,
"acc,exam_id__2016-20a": 0.4,
"acc,exam_id__2018-25": 0.5,
"acc,exam_id__2011-04": 0.4125,
"acc,exam_id__2011-05": 0.4375,
"acc,exam_id__2017-22": 0.375,
"acc,exam_id__2014-13": 0.425,
"acc,exam_id__2012-08": 0.45,
"acc,exam_id__2013-11": 0.45,
"acc,exam_id__2011-03": 0.3939393939393939,
"acc,exam_id__2012-07": 0.45,
"acc,exam_id__2015-16": 0.475,
"acc,exam_id__2014-15": 0.5128205128205128,
"acc,exam_id__2010-02": 0.44,
"acc,exam_id__2016-20": 0.475,
"acc,exam_id__2017-23": 0.475,
"acc,exam_id__2012-06": 0.4125,
"acc,exam_id__2015-18": 0.4625,
"alias": "oab_exams"
},
"sparrow_emotion-2021-cortiz-por": {
"alias": "emotion-2021-cortiz-por",
"f1_macro,all": 0.03920512763931725,
"acc,all": 0.102
},
"sparrow_hate-2019-fortuna-por": {
"alias": "hate-2019-fortuna-por",
"f1_macro,all": 0.3932038834951456,
"acc,all": 0.648
},
"sparrow_sentiment-2016-mozetic-por": {
"alias": "sentiment-2016-mozetic-por",
"f1_macro,all": 0.48971642449181224,
"acc,all": 0.648
},
"sparrow_sentiment-2018-brum-por": {
"alias": "sentiment-2018-brum-por",
"f1_macro,all": 0.32508736470099614,
"acc,all": 0.388
}
},
"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?\nResposta:",
"doc_to_target": "{{['Não', 'Sim'][entailment_judgment]}}",
"description": "Abaixo contém pares de premissa e hipótese, para cada par você deve julgar 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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2,
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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": 1.0
}
},
"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: Qual o grau de similaridade entre as duas frases de 1,0 a 5,0?\nResposta:",
"doc_to_target": "<function assin2_float_to_pt_str at 0x7fe12fa9d800>",
"description": "Abaixo contém pares de frases, para cada par você deve julgar o grau de similaridade de 1,0 a 5,0, responda apenas com o número.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "id_sampler",
"sampler_config": {
"id_list": [
1,
3251,
2,
3252,
3,
4,
5,
6,
3253,
7,
3254,
3255,
3256,
8,
9,
10,
3257,
11,
3258,
12,
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15,
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3260,
3261,
3262,
3263,
16,
17,
3264,
18,
3265,
3266,
3267,
19,
20,
3268,
3269,
21,
3270,
3271,
22,
3272,
3273,
23,
3274,
24,
25,
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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": 1.0
}
},
"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 0x7fe12fa9d1c0>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir são questões de multipla escolha de provas de vestibular de Universidades Brasileiras, reponda 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])$",
"\\b([ABCDE])\\b"
]
},
{
"function": "take_first"
}
],
"group_by": {
"column": "exam_id"
}
}
],
"should_decontaminate": true,
"doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fe12fa9d440>",
"metadata": {
"version": 1.0
}
},
"enem_challenge": {
"task": "enem_challenge",
"task_alias": "enem",
"group": [
"pt_benchmark",
"vestibular"
],
"dataset_path": "eduagarcia/enem_challenge",
"test_split": "train",
"fewshot_split": "train",
"doc_to_text": "<function enem_doc_to_text at 0x7fe12fa9d9e0>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir são questões de multipla escolha do Exame Nacional do Ensino Médio (ENEM), reponda apenas com as letras A, B, C, D ou E.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "id_sampler",
"sampler_config": {
"id_list": [
"2022_21",
"2022_88",
"2022_143"
],
"id_column": "id",
"exclude_from_task": true
}
},
"num_fewshot": 3,
"metric_list": [
{
"metric": "acc",
"aggregation": "acc",
"higher_is_better": true
}
],
"output_type": "generate_until",
"generation_kwargs": {
"max_gen_toks": 32,
"do_sample": false,
"temperature": 0.0,
"top_k": null,
"top_p": null,
"until": [
"\n\n"
]
},
"repeats": 1,
"filter_list": [
{
"name": "all",
"filter": [
{
"function": "normalize_spaces"
},
{
"function": "remove_accents"
},
{
"function": "find_choices",
"choices": [
"A",
"B",
"C",
"D",
"E"
],
"regex_patterns": [
"(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
"\\b([ABCDE])\\.",
"\\b([ABCDE]) ?[.):-]",
"\\b([ABCDE])$",
"\\b([ABCDE])\\b"
]
},
{
"function": "take_first"
}
],
"group_by": {
"column": "exam_id"
}
}
],
"should_decontaminate": true,
"doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fe12fa9dc60>",
"metadata": {
"version": 1.0
}
},
"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 satisfaz a pergunta? Sim ou Não?",
"doc_to_target": "{{['Não', 'Sim'][label]}}",
"description": "Abaixo contém pares de pergunta e reposta, para cada par você deve julgar resposta responde a 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,
949,
663,
105,
1169,
2910,
2227,
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2918,
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236,
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1049,
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1167,
1394,
2022,
2551,
2194,
2187,
2282,
2816,
108,
301,
1185,
1315,
1420,
2436,
2322,
766
]
}
},
"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": 1.0
}
},
"oab_exams": {
"task": "oab_exams",
"group": [
"legal_benchmark",
"pt_benchmark"
],
"dataset_path": "eduagarcia/oab_exams",
"test_split": "train",
"fewshot_split": "train",
"doc_to_text": "<function doc_to_text at 0x7fe12fa9cb80>",
"doc_to_target": "{{answerKey}}",
"description": "As perguntas a seguir são questões de multipla escolha do Exame de Ordem da Ordem dos Advogados do Brasil (OAB), reponda apenas com as letras A, B, C ou D.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "id_sampler",
"sampler_config": {
"id_list": [
"2010-01_1",
"2010-01_11",
"2010-01_13",
"2010-01_23",
"2010-01_26",
"2010-01_28",
"2010-01_38",
"2010-01_48",
"2010-01_58",
"2010-01_68",
"2010-01_76",
"2010-01_83",
"2010-01_85",
"2010-01_91",
"2010-01_99"
],
"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"
],
"regex_patterns": [
"(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta[Cc]orreta e|[Oo]pcao):? ([ABCD])\\b",
"\\b([ABCD])\\)",
"\\b([ABCD]) ?[.):-]",
"\\b([ABCD])$",
"\\b([ABCD])\\b"
]
},
{
"function": "take_first"
}
],
"group_by": {
"column": "exam_id"
}
}
],
"should_decontaminate": true,
"doc_to_decontamination_query": "<function doc_to_text at 0x7fe12fa9ce00>",
"metadata": {
"version": 1.4
}
},
"sparrow_emotion-2021-cortiz-por": {
"task": "sparrow_emotion-2021-cortiz-por",
"task_alias": "emotion-2021-cortiz-por",
"group": [
"pt_benchmark",
"sparrow"
],
"dataset_path": "UBC-NLP/sparrow",
"dataset_name": "emotion-2021-cortiz-por",
"test_split": "validation",
"fewshot_split": "train",
"doc_to_text": "Texto: {{content}}\nPergunta: Qual a principal emoção apresentada no texto?\nResposta:",
"doc_to_target": "<function sparrow_emotion_por_trans_label at 0x7fe12fa9d080>",
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é extrair qual a principal emoção dos textos. Responda com apenas uma das seguintes opções:\n Admiração, Diversão, Raiva, Aborrecimento, Aprovação, Compaixão, Confusão, Curiosidade, Desejo, Decepção, Desaprovação, Nojo, Vergonha, Inveja, Entusiasmo, Medo, Gratidão, Luto, Alegria, Saudade, Amor, Nervosismo, Otimismo, Orgulho, Alívio, Remorso, Tristeza ou Surpresa.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 25,
"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": [
"Admiração",
"Diversão",
"Raiva",
"Aborrecimento",
"Aprovação",
"Compaixão",
"Confusão",
"Curiosidade",
"Desejo",
"Decepção",
"Desaprovação",
"Nojo",
" Vergonha",
"Inveja",
"Entusiasmo",
"Medo",
"Gratidão",
"Luto",
"Alegria",
"Saudade",
"Amor",
"Nervosismo",
"Otimismo",
"Orgulho",
"Alívio",
"Remorso",
"Tristeza",
"Surpresa"
]
},
{
"function": "take_first"
}
]
}
],
"should_decontaminate": false,
"limit": 500,
"metadata": {
"version": 1.0
}
},
"sparrow_hate-2019-fortuna-por": {
"task": "sparrow_hate-2019-fortuna-por",
"task_alias": "hate-2019-fortuna-por",
"group": [
"pt_benchmark",
"sparrow"
],
"dataset_path": "UBC-NLP/sparrow",
"dataset_name": "hate-2019-fortuna-por",
"test_split": "validation",
"fewshot_split": "train",
"doc_to_text": "Texto: {{content}}\nPergunta: O texto contém discurso de ódio?\nResposta:",
"doc_to_target": "{{'Sim' if label == 'Hate' else 'Não'}}",
"description": "Abaixo contém o conteúdo de tweets de usuarios do Twitter em português, sua tarefa é classificar se o texto contem discurso de ódio our não. Responda apenas com Sim ou Não.\n\n",
"target_delimiter": " ",
"fewshot_delimiter": "\n\n",
"fewshot_config": {
"sampler": "first_n"
},
"num_fewshot": 25,
"metric_list": [
{
"metric": "f1_macro",
"aggregation": "f1_macro",
"higher_is_better": true
},
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