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+ "doc_to_text": "Premissa: {{premise}}\nHipótese: {{hypothesis}}\nPergunta: A hipótese pode ser inferida pela premissa? Sim ou Não?\nResposta:",
111
+ "doc_to_target": "{{['Não', 'Sim'][entailment_judgment]}}",
112
+ "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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+ "fewshot_config": {
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+ "sampler": "id_sampler",
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+ ],
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+ "id_column": "sentence_pair_id"
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+ }
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+ },
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+ "num_fewshot": 15,
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+ "metric_list": [
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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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+ {
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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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+ ],
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+ "output_type": "generate_until",
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+ "generation_kwargs": {
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+ "max_gen_toks": 32,
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+ "do_sample": false,
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+ "temperature": 0.0,
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+ "\n\n"
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+ ]
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+ },
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+ "filter_list": [
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+ {
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+ "name": "all",
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+ "filter": [
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+ {
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+ "function": "find_similar_label",
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+ "labels": [
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+ "Sim",
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+ "Não"
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+ ]
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+ },
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+ {
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+ "function": "take_first"
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+ }
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+ ]
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+ }
214
+ ],
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+ "should_decontaminate": false,
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+ "metadata": {
217
+ "version": 1.1
218
+ }
219
+ },
220
+ "assin2_sts": {
221
+ "task": "assin2_sts",
222
+ "group": [
223
+ "pt_benchmark",
224
+ "assin2"
225
+ ],
226
+ "dataset_path": "assin2",
227
+ "test_split": "test",
228
+ "fewshot_split": "train",
229
+ "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 0x7fa14e17a160>",
231
+ "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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+ "fewshot_config": {
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+ ],
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+ "id_column": "sentence_pair_id"
290
+ }
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+ },
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+ "num_fewshot": 15,
293
+ "metric_list": [
294
+ {
295
+ "metric": "pearson",
296
+ "aggregation": "pearsonr",
297
+ "higher_is_better": true
298
+ },
299
+ {
300
+ "metric": "mse",
301
+ "aggregation": "mean_squared_error",
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+ "higher_is_better": false
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+ }
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+ ],
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+ "output_type": "generate_until",
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+ "generation_kwargs": {
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+ "max_gen_toks": 32,
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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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+ "until": [
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+ "\n\n"
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+ ]
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+ },
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+ "repeats": 1,
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+ "filter_list": [
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+ {
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+ "name": "all",
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+ "filter": [
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+ {
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+ "function": "number_filter",
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+ "type": "float",
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+ "fallback": 5.0
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+ {
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+ "function": "take_first"
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+ }
332
+ ]
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+ }
334
+ ],
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+ "should_decontaminate": false,
336
+ "metadata": {
337
+ "version": 1.1
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+ }
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+ },
340
+ "bluex": {
341
+ "task": "bluex",
342
+ "group": [
343
+ "pt_benchmark",
344
+ "vestibular"
345
+ ],
346
+ "dataset_path": "eduagarcia-temp/BLUEX_without_images",
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+ "test_split": "train",
348
+ "fewshot_split": "train",
349
+ "doc_to_text": "<function enem_doc_to_text at 0x7fa14e179b20>",
350
+ "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",
352
+ "target_delimiter": " ",
353
+ "fewshot_delimiter": "\n\n",
354
+ "fewshot_config": {
355
+ "sampler": "id_sampler",
356
+ "sampler_config": {
357
+ "id_list": [
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+ "USP_2018_3",
359
+ "UNICAMP_2018_2",
360
+ "USP_2018_35",
361
+ "UNICAMP_2018_16",
362
+ "USP_2018_89"
363
+ ],
364
+ "id_column": "id",
365
+ "exclude_from_task": true
366
+ }
367
+ },
368
+ "num_fewshot": 3,
369
+ "metric_list": [
370
+ {
371
+ "metric": "acc",
372
+ "aggregation": "acc",
373
+ "higher_is_better": true
374
+ }
375
+ ],
376
+ "output_type": "generate_until",
377
+ "generation_kwargs": {
378
+ "max_gen_toks": 32,
379
+ "do_sample": false,
380
+ "temperature": 0.0,
381
+ "top_k": null,
382
+ "top_p": null,
383
+ "until": [
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+ "\n\n"
385
+ ]
386
+ },
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+ "repeats": 1,
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+ "filter_list": [
389
+ {
390
+ "name": "all",
391
+ "filter": [
392
+ {
393
+ "function": "normalize_spaces"
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+ },
395
+ {
396
+ "function": "remove_accents"
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+ },
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+ {
399
+ "function": "find_choices",
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+ "choices": [
401
+ "A",
402
+ "B",
403
+ "C",
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+ "D",
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+ "E"
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+ ],
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+ "regex_patterns": [
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+ "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
409
+ "\\b([ABCDE])\\.",
410
+ "\\b([ABCDE]) ?[.):-]",
411
+ "\\b([ABCDE])$",
412
+ "\\b([ABCDE])\\b"
413
+ ]
414
+ },
415
+ {
416
+ "function": "take_first"
417
+ }
418
+ ],
419
+ "group_by": {
420
+ "column": "exam_id"
421
+ }
422
+ }
423
+ ],
424
+ "should_decontaminate": true,
425
+ "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fa14e179da0>",
426
+ "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",
438
+ "test_split": "train",
439
+ "fewshot_split": "train",
440
+ "doc_to_text": "<function enem_doc_to_text at 0x7fa14e17a340>",
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": [
449
+ "2022_21",
450
+ "2022_88",
451
+ "2022_143"
452
+ ],
453
+ "id_column": "id",
454
+ "exclude_from_task": true
455
+ }
456
+ },
457
+ "num_fewshot": 3,
458
+ "metric_list": [
459
+ {
460
+ "metric": "acc",
461
+ "aggregation": "acc",
462
+ "higher_is_better": true
463
+ }
464
+ ],
465
+ "output_type": "generate_until",
466
+ "generation_kwargs": {
467
+ "max_gen_toks": 32,
468
+ "do_sample": false,
469
+ "temperature": 0.0,
470
+ "top_k": null,
471
+ "top_p": null,
472
+ "until": [
473
+ "\n\n"
474
+ ]
475
+ },
476
+ "repeats": 1,
477
+ "filter_list": [
478
+ {
479
+ "name": "all",
480
+ "filter": [
481
+ {
482
+ "function": "normalize_spaces"
483
+ },
484
+ {
485
+ "function": "remove_accents"
486
+ },
487
+ {
488
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+ "choices": [
490
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491
+ "B",
492
+ "C",
493
+ "D",
494
+ "E"
495
+ ],
496
+ "regex_patterns": [
497
+ "(?:[Ll]etra|[Aa]lternativa|[Rr]esposta|[Rr]esposta [Cc]orreta|[Rr]esposta [Cc]orreta e|[Oo]pcao):? ([ABCDE])\\b",
498
+ "\\b([ABCDE])\\.",
499
+ "\\b([ABCDE]) ?[.):-]",
500
+ "\\b([ABCDE])$",
501
+ "\\b([ABCDE])\\b"
502
+ ]
503
+ },
504
+ {
505
+ "function": "take_first"
506
+ }
507
+ ],
508
+ "group_by": {
509
+ "column": "exam_id"
510
+ }
511
+ }
512
+ ],
513
+ "should_decontaminate": true,
514
+ "doc_to_decontamination_query": "<function enem_doc_to_text at 0x7fa14e17a5c0>",
515
+ "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": " ",
531
+ "fewshot_delimiter": "\n\n",
532
+ "fewshot_config": {
533
+ "sampler": "first_n",
534
+ "sampler_config": {
535
+ "fewshot_indices": [
536
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+ }
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+ },
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+ "num_fewshot": 15,
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+ "metric_list": [
591
+ {
592
+ "metric": "f1_macro",
593
+ "aggregation": "f1_macro",
594
+ "higher_is_better": true
595
+ },
596
+ {
597
+ "metric": "acc",
598
+ "aggregation": "acc",
599
+ "higher_is_better": true
600
+ }
601
+ ],
602
+ "output_type": "generate_until",
603
+ "generation_kwargs": {
604
+ "max_gen_toks": 32,
605
+ "do_sample": false,
606
+ "temperature": 0.0,
607
+ "top_k": null,
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+ "top_p": null,
609
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+ "\n\n"
611
+ ]
612
+ },
613
+ "repeats": 1,
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+ "filter_list": [
615
+ {
616
+ "name": "all",
617
+ "filter": [
618
+ {
619
+ "function": "find_similar_label",
620
+ "labels": [
621
+ "Sim",
622
+ "Não"
623
+ ]
624
+ },
625
+ {
626
+ "function": "take_first"
627
+ }
628
+ ]
629
+ }
630
+ ],
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",
645
+ "fewshot_split": "train",
646
+ "doc_to_text": "Texto: {{sentence}}\nPergunta: O texto é ofensivo?\nResposta:",
647
+ "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",
651
+ "fewshot_config": {
652
+ "sampler": "id_sampler",
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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
+ "max_gen_toks": 32,
725
+ "do_sample": false,
726
+ "temperature": 0.0,
727
+ "top_k": null,
728
+ "top_p": null,
729
+ "until": [
730
+ "\n\n"
731
+ ]
732
+ },
733
+ "repeats": 1,
734
+ "filter_list": [
735
+ {
736
+ "name": "all",
737
+ "filter": [
738
+ {
739
+ "function": "find_similar_label",
740
+ "labels": [
741
+ "Sim",
742
+ "Não"
743
+ ]
744
+ },
745
+ {
746
+ "function": "take_first"
747
+ }
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",
764
+ "fewshot_split": "train",
765
+ "doc_to_text": "<function doc_to_text at 0x7fa14e1794e0>",
766
+ "doc_to_target": "{{answerKey}}",
767
+ "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",
768
+ "target_delimiter": " ",
769
+ "fewshot_delimiter": "\n\n",
770
+ "fewshot_config": {
771
+ "sampler": "id_sampler",
772
+ "sampler_config": {
773
+ "id_list": [
774
+ "2010-01_1",
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+ "2010-01_11",
776
+ "2010-01_13",
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+ "2010-01_23",
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+ "2010-01_26",
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+ "2010-01_28",
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+ "2010-01_38",
781
+ "2010-01_48",
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+ "2010-01_58",
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+ "2010-01_76",
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+ "2010-01_83",
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