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+ "f1_macro,all": 0.518773068961225,
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+ "acc,all": 0.6502487562189054,
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+ "alias": "tweetsentbr"
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+ }
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+ },
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+ "configs": {
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+ "assin2_rte": {
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+ "task": "assin2_rte",
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+ "group": [
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+ "pt_benchmark",
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+ "assin2"
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+ ],
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+ "dataset_path": "assin2",
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+ "test_split": "test",
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+ "fewshot_split": "train",
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+ "doc_to_text": "Premissa: {{premise}}\nHipótese: {{hypothesis}}\nPergunta: A hipótese pode ser inferida pela premissa? Sim ou Não?\nResposta:",
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+ "doc_to_target": "{{['Não', 'Sim'][entailment_judgment]}}",
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+ "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",
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+ "target_delimiter": " ",
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+ "fewshot_delimiter": "\n\n",
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+ {
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+ "metric": "f1_macro",
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+ "aggregation": "f1_macro",
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+ "higher_is_better": true
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+ },
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+ "metric": "acc",
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+ "aggregation": "acc",
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+ "higher_is_better": true
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+ "name": "all",
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+ "Não"
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+ ]
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+ "function": "take_first"
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+ ]
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+ }
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+ ],
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+ "should_decontaminate": false,
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+ "metadata": {
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+ "version": 1.1
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+ }
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+ },
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+ "assin2_sts": {
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+ "task": "assin2_sts",
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+ "group": [
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+ "pt_benchmark",
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+ "assin2"
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+ ],
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+ "dataset_path": "assin2",
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+ "test_split": "test",
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+ "fewshot_split": "train",
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+ "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:",
230
+ "doc_to_target": "<function assin2_float_to_pt_str at 0x7fa6afa8cfe0>",
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+ "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",
232
+ "target_delimiter": " ",
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+ "fewshot_delimiter": "\n\n",
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+ "id_column": "sentence_pair_id"
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+ }
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+ },
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+ "metric_list": [
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+ {
295
+ "metric": "pearson",
296
+ "aggregation": "pearsonr",
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+ "higher_is_better": true
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+ },
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+ {
300
+ "metric": "mse",
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+ "aggregation": "mean_squared_error",
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+ "higher_is_better": false
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+ }
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ }
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+ },
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+ "task": "bluex",
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+ "group": [
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+ "pt_benchmark",
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+ "vestibular"
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+ ],
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+ "dataset_path": "eduagarcia-temp/BLUEX_without_images",
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+ "fewshot_split": "train",
349
+ "doc_to_text": "<function enem_doc_to_text at 0x7fa6afa8c9a0>",
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+ "doc_to_target": "{{answerKey}}",
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+ "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",
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+ "target_delimiter": " ",
353
+ "fewshot_delimiter": "\n\n",
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+ "exclude_from_task": true
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+ }
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+ },
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+ "num_fewshot": 3,
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+ {
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+ "metric": "acc",
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+ "aggregation": "acc",
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+ "higher_is_better": true
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+ }
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+ ],
376
+ "output_type": "generate_until",
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378
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+ "do_sample": false,
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+ "temperature": 0.0,
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+ "top_k": null,
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+ },
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+ "name": "all",
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+ ],
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+ "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
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+ "\\b([ABCDE])\\.",
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+ "\\b([ABCDE]) ?[.):-]",
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+ "\\b([ABCDE])$",
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+ "\\b([ABCDE])\\b"
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+ ]
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+ },
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+ {
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+ "function": "take_first"
417
+ }
418
+ ],
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+ "group_by": {
420
+ "column": "exam_id"
421
+ }
422
+ }
423
+ ],
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+ "should_decontaminate": true,
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+ "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fa6afa8cc20>",
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+ "metadata": {
427
+ "version": 1.1
428
+ }
429
+ },
430
+ "enem_challenge": {
431
+ "task": "enem_challenge",
432
+ "task_alias": "enem",
433
+ "group": [
434
+ "pt_benchmark",
435
+ "vestibular"
436
+ ],
437
+ "dataset_path": "eduagarcia/enem_challenge",
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+ "test_split": "train",
439
+ "fewshot_split": "train",
440
+ "doc_to_text": "<function enem_doc_to_text at 0x7fa6afa8d1c0>",
441
+ "doc_to_target": "{{answerKey}}",
442
+ "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",
443
+ "target_delimiter": " ",
444
+ "fewshot_delimiter": "\n\n",
445
+ "fewshot_config": {
446
+ "sampler": "id_sampler",
447
+ "sampler_config": {
448
+ "id_list": [
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+ "2022_21",
450
+ "2022_88",
451
+ "2022_143"
452
+ ],
453
+ "id_column": "id",
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+ "exclude_from_task": true
455
+ }
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+ },
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+ "num_fewshot": 3,
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+ "metric_list": [
459
+ {
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+ "metric": "acc",
461
+ "aggregation": "acc",
462
+ "higher_is_better": true
463
+ }
464
+ ],
465
+ "output_type": "generate_until",
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+ "generation_kwargs": {
467
+ "max_gen_toks": 32,
468
+ "do_sample": false,
469
+ "temperature": 0.0,
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+ "top_k": null,
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+ "until": [
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+ "name": "all",
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482
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485
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+ "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
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+ "\\b([ABCDE])\\.",
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+ "\\b([ABCDE]) ?[.):-]",
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+ "\\b([ABCDE])$",
501
+ "\\b([ABCDE])\\b"
502
+ ]
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+ },
504
+ {
505
+ "function": "take_first"
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+ }
507
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+ "group_by": {
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510
+ }
511
+ }
512
+ ],
513
+ "should_decontaminate": true,
514
+ "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fa6afa8d440>",
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+ "metadata": {
516
+ "version": 1.1
517
+ }
518
+ },
519
+ "faquad_nli": {
520
+ "task": "faquad_nli",
521
+ "group": [
522
+ "pt_benchmark"
523
+ ],
524
+ "dataset_path": "ruanchaves/faquad-nli",
525
+ "test_split": "test",
526
+ "fewshot_split": "train",
527
+ "doc_to_text": "Pergunta: {{question}}\nResposta: {{answer}}\nA resposta dada satisfaz à pergunta? Sim ou Não?",
528
+ "doc_to_target": "{{['Não', 'Sim'][label]}}",
529
+ "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",
530
+ "target_delimiter": " ",
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+ "fewshot_delimiter": "\n\n",
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+ "fewshot_config": {
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+ {
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+ "metric": "f1_macro",
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+ "higher_is_better": true
595
+ },
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+ "metric": "acc",
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+ "aggregation": "acc",
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+ }
601
+ ],
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+ "output_type": "generate_until",
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+ "do_sample": false,
606
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615
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+ "name": "all",
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+ "filter": [
618
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+ "function": "find_similar_label",
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+ "Sim",
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+ "Não"
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+ ]
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+ },
625
+ {
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+ "function": "take_first"
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631
+ "should_decontaminate": false,
632
+ "metadata": {
633
+ "version": 1.1
634
+ }
635
+ },
636
+ "hatebr_offensive": {
637
+ "task": "hatebr_offensive",
638
+ "task_alias": "hatebr_offensive_binary",
639
+ "group": [
640
+ "pt_benchmark"
641
+ ],
642
+ "dataset_path": "eduagarcia/portuguese_benchmark",
643
+ "dataset_name": "HateBR_offensive_binary",
644
+ "test_split": "test",
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+ "fewshot_split": "train",
646
+ "doc_to_text": "Texto: {{sentence}}\nPergunta: O texto é ofensivo?\nResposta:",
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+ "doc_to_target": "{{'Sim' if label == 1 else 'Não'}}",
648
+ "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",
649
+ "target_delimiter": " ",
650
+ "fewshot_delimiter": "\n\n",
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+ "fewshot_config": {
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706
+ "id_column": "idx"
707
+ }
708
+ },
709
+ "num_fewshot": 25,
710
+ "metric_list": [
711
+ {
712
+ "metric": "f1_macro",
713
+ "aggregation": "f1_macro",
714
+ "higher_is_better": true
715
+ },
716
+ {
717
+ "metric": "acc",
718
+ "aggregation": "acc",
719
+ "higher_is_better": true
720
+ }
721
+ ],
722
+ "output_type": "generate_until",
723
+ "generation_kwargs": {
724
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725
+ "do_sample": false,
726
+ "temperature": 0.0,
727
+ "top_k": null,
728
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729
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731
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732
+ },
733
+ "repeats": 1,
734
+ "filter_list": [
735
+ {
736
+ "name": "all",
737
+ "filter": [
738
+ {
739
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740
+ "labels": [
741
+ "Sim",
742
+ "Não"
743
+ ]
744
+ },
745
+ {
746
+ "function": "take_first"
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+ }
748
+ ]
749
+ }
750
+ ],
751
+ "should_decontaminate": false,
752
+ "metadata": {
753
+ "version": 1.0
754
+ }
755
+ },
756
+ "oab_exams": {
757
+ "task": "oab_exams",
758
+ "group": [
759
+ "legal_benchmark",
760
+ "pt_benchmark"
761
+ ],
762
+ "dataset_path": "eduagarcia/oab_exams",
763
+ "test_split": "train",
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+ "fewshot_split": "train",
765
+ "doc_to_text": "<function doc_to_text at 0x7fa6afa8c360>",
766
+ "doc_to_target": "{{answerKey}}",
767
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