{
  "results": {
    "polish": {
      "acc,none": 0.5485088323770747,
      "acc_stderr,none": 0.006173394316567496,
      "acc_norm,none": 0.5613679808033012,
      "acc_norm_stderr,none": 0.008184643816451457,
      "f1,score-first": 0.5560581187634298,
      "f1_stderr,score-first": 0.10012844040270957,
      "accuracy,score-first": 0.5560581187634298,
      "accuracy_stderr,score-first": 0.10012844040270957,
      "alias": "polish"
    },
    "belebele_pol_Latn": {
      "acc,none": 0.5077777777777778,
      "acc_stderr,none": 0.016673915944964764,
      "acc_norm,none": 0.5077777777777778,
      "acc_norm_stderr,none": 0.016673915944964764,
      "alias": " - belebele_pol_Latn"
    },
    "polemo2_in": {
      "f1,score-first": 0.554016620498615,
      "f1_stderr,score-first": 0.018511989768822235,
      "accuracy,score-first": 0.554016620498615,
      "accuracy_stderr,score-first": 0.018511989768822235,
      "alias": " - polemo2_in"
    },
    "polemo2_in_multiple_choice": {
      "acc,none": 0.27285318559556787,
      "acc_stderr,none": 0.016588531234686118,
      "acc_norm,none": 0.20221606648199447,
      "acc_norm_stderr,none": 0.01495832068619682,
      "alias": " - polemo2_in_multiple_choice"
    },
    "polemo2_out": {
      "f1,score-first": 0.5566801619433198,
      "f1_stderr,score-first": 0.0223737095446236,
      "accuracy,score-first": 0.5566801619433198,
      "accuracy_stderr,score-first": 0.0223737095446236,
      "alias": " - polemo2_out"
    },
    "polemo2_out_multiple_choice": {
      "acc,none": 0.3299595141700405,
      "acc_stderr,none": 0.02117665642255094,
      "acc_norm,none": 0.3340080971659919,
      "acc_norm_stderr,none": 0.021241711816127367,
      "alias": " - polemo2_out_multiple_choice"
    },
    "polish_8tags_multiple_choice": {
      "acc,none": 0.6365507776761208,
      "acc_stderr,none": 0.007275251233570105,
      "acc_norm,none": 0.6779505946935042,
      "acc_norm_stderr,none": 0.0070675659629489225,
      "alias": " - polish_8tags_multiple_choice"
    },
    "polish_8tags_regex": {
      "f1,score-first": 0.6564501372369624,
      "f1_stderr,score-first": 0.007182991593741683,
      "accuracy,score-first": 0.6564501372369624,
      "accuracy_stderr,score-first": 0.007182991593741683,
      "alias": " - polish_8tags_regex"
    },
    "polish_belebele_regex": {
      "f1,score-first": 0.5433333333333333,
      "f1_stderr,score-first": 0.016613188209796736,
      "accuracy,score-first": 0.5433333333333333,
      "accuracy_stderr,score-first": 0.016613188209796736,
      "alias": " - polish_belebele_regex"
    },
    "polish_dyk_multiple_choice": {
      "acc,none": 0.5481049562682215,
      "acc_stderr,none": 0.01552222935866704,
      "acc_norm,none": 0.5481049562682215,
      "acc_norm_stderr,none": 0.01552222935866704,
      "alias": " - polish_dyk_multiple_choice"
    },
    "polish_dyk_regex": {
      "f1,score-first": 0.1749271137026239,
      "f1_stderr,score-first": 0.011848903583973948,
      "accuracy,score-first": 0.1749271137026239,
      "accuracy_stderr,score-first": 0.011848903583973948,
      "alias": " - polish_dyk_regex"
    },
    "polish_ppc_multiple_choice": {
      "acc,none": 0.449,
      "acc_stderr,none": 0.015736792768752016,
      "acc_norm,none": 0.449,
      "acc_norm_stderr,none": 0.015736792768752016,
      "alias": " - polish_ppc_multiple_choice"
    },
    "polish_ppc_regex": {
      "f1,score-first": 0.46,
      "f1_stderr,score-first": 0.01576859691439438,
      "accuracy,score-first": 0.46,
      "accuracy_stderr,score-first": 0.01576859691439438,
      "alias": " - polish_ppc_regex"
    },
    "polish_psc_multiple_choice": {
      "acc,none": 0.725417439703154,
      "acc_stderr,none": 0.01359948992290204,
      "acc_norm,none": 0.725417439703154,
      "acc_norm_stderr,none": 0.01359948992290204,
      "alias": " - polish_psc_multiple_choice"
    },
    "polish_psc_regex": {
      "f1,score-first": 0.5918367346938775,
      "f1_stderr,score-first": 0.014976490836384216,
      "accuracy,score-first": 0.5918367346938775,
      "accuracy_stderr,score-first": 0.014976490836384216,
      "alias": " - polish_psc_regex"
    }
  },
  "groups": {
    "polish": {
      "acc,none": 0.5485088323770747,
      "acc_stderr,none": 0.006173394316567496,
      "acc_norm,none": 0.5613679808033012,
      "acc_norm_stderr,none": 0.008184643816451457,
      "f1,score-first": 0.5560581187634298,
      "f1_stderr,score-first": 0.10012844040270957,
      "accuracy,score-first": 0.5560581187634298,
      "accuracy_stderr,score-first": 0.10012844040270957,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
      "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": 0,
    "polemo2_in": 0,
    "polemo2_in_multiple_choice": 0,
    "polemo2_out": 0,
    "polemo2_out_multiple_choice": 0,
    "polish": 0,
    "polish_8tags_multiple_choice": 0,
    "polish_8tags_regex": 0,
    "polish_belebele_regex": 0,
    "polish_dyk_multiple_choice": 0,
    "polish_dyk_regex": 0,
    "polish_ppc_multiple_choice": 0,
    "polish_ppc_regex": 0,
    "polish_psc_multiple_choice": 0,
    "polish_psc_regex": 0
  },
  "config": {
    "model": "hf",
    "model_args": "pretrained=Voicelab/trurl-2-13b-academic",
    "batch_size": "1",
    "batch_sizes": [],
    "device": "cuda:0",
    "use_cache": null,
    "limit": null,
    "bootstrap_iters": 100000,
    "gen_kwargs": null
  },
  "git_hash": null
}