mmlu/__nm__drive0__shashata__quantized_models__SmolLM-1.7B-Instruct-quantized.w4a16/results_2024-08-22T02-14-40.608886.json

{
  "results": {
    "mmlu": {
      "acc,none": 0.2722546645776955,
      "acc_stderr,none": 0.0037447829816293645,
      "alias": "mmlu"
    },
    "mmlu_humanities": {
      "acc,none": 0.2680127523910733,
      "acc_stderr,none": 0.00644976998353645,
      "alias": " - humanities"
    },
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      "alias": "  - formal_logic",
      "acc,none": 0.2857142857142857,
      "acc_stderr,none": 0.04040610178208841
    },
    "mmlu_high_school_european_history": {
      "alias": "  - high_school_european_history",
      "acc,none": 0.18787878787878787,
      "acc_stderr,none": 0.03050193405942914
    },
    "mmlu_high_school_us_history": {
      "alias": "  - high_school_us_history",
      "acc,none": 0.25,
      "acc_stderr,none": 0.03039153369274154
    },
    "mmlu_high_school_world_history": {
      "alias": "  - high_school_world_history",
      "acc,none": 0.29957805907172996,
      "acc_stderr,none": 0.029818024749753102
    },
    "mmlu_international_law": {
      "alias": "  - international_law",
      "acc,none": 0.371900826446281,
      "acc_stderr,none": 0.044120158066245044
    },
    "mmlu_jurisprudence": {
      "alias": "  - jurisprudence",
      "acc,none": 0.3055555555555556,
      "acc_stderr,none": 0.04453197507374984
    },
    "mmlu_logical_fallacies": {
      "alias": "  - logical_fallacies",
      "acc,none": 0.24539877300613497,
      "acc_stderr,none": 0.03380939813943354
    },
    "mmlu_moral_disputes": {
      "alias": "  - moral_disputes",
      "acc,none": 0.29190751445086704,
      "acc_stderr,none": 0.024476994076247326
    },
    "mmlu_moral_scenarios": {
      "alias": "  - moral_scenarios",
      "acc,none": 0.24134078212290502,
      "acc_stderr,none": 0.014310999547961452
    },
    "mmlu_philosophy": {
      "alias": "  - philosophy",
      "acc,none": 0.24758842443729903,
      "acc_stderr,none": 0.024513879973621967
    },
    "mmlu_prehistory": {
      "alias": "  - prehistory",
      "acc,none": 0.2808641975308642,
      "acc_stderr,none": 0.025006469755799194
    },
    "mmlu_professional_law": {
      "alias": "  - professional_law",
      "acc,none": 0.2685788787483703,
      "acc_stderr,none": 0.01132005662912173
    },
    "mmlu_world_religions": {
      "alias": "  - world_religions",
      "acc,none": 0.3333333333333333,
      "acc_stderr,none": 0.036155076303109365
    },
    "mmlu_other": {
      "acc,none": 0.28226585130350823,
      "acc_stderr,none": 0.008052542494967943,
      "alias": " - other"
    },
    "mmlu_business_ethics": {
      "alias": "  - business_ethics",
      "acc,none": 0.29,
      "acc_stderr,none": 0.045604802157206845
    },
    "mmlu_clinical_knowledge": {
      "alias": "  - clinical_knowledge",
      "acc,none": 0.29056603773584905,
      "acc_stderr,none": 0.027943219989337156
    },
    "mmlu_college_medicine": {
      "alias": "  - college_medicine",
      "acc,none": 0.24855491329479767,
      "acc_stderr,none": 0.03295304696818318
    },
    "mmlu_global_facts": {
      "alias": "  - global_facts",
      "acc,none": 0.18,
      "acc_stderr,none": 0.038612291966536955
    },
    "mmlu_human_aging": {
      "alias": "  - human_aging",
      "acc,none": 0.36771300448430494,
      "acc_stderr,none": 0.03236198350928275
    },
    "mmlu_management": {
      "alias": "  - management",
      "acc,none": 0.1941747572815534,
      "acc_stderr,none": 0.03916667762822584
    },
    "mmlu_marketing": {
      "alias": "  - marketing",
      "acc,none": 0.3162393162393162,
      "acc_stderr,none": 0.030463656747340265
    },
    "mmlu_medical_genetics": {
      "alias": "  - medical_genetics",
      "acc,none": 0.33,
      "acc_stderr,none": 0.047258156262526045
    },
    "mmlu_miscellaneous": {
      "alias": "  - miscellaneous",
      "acc,none": 0.26436781609195403,
      "acc_stderr,none": 0.015769984840690515
    },
    "mmlu_nutrition": {
      "alias": "  - nutrition",
      "acc,none": 0.31699346405228757,
      "acc_stderr,none": 0.026643278474508755
    },
    "mmlu_professional_accounting": {
      "alias": "  - professional_accounting",
      "acc,none": 0.24822695035460993,
      "acc_stderr,none": 0.025770015644290396
    },
    "mmlu_professional_medicine": {
      "alias": "  - professional_medicine",
      "acc,none": 0.2536764705882353,
      "acc_stderr,none": 0.026431329870789524
    },
    "mmlu_virology": {
      "alias": "  - virology",
      "acc,none": 0.3493975903614458,
      "acc_stderr,none": 0.037117251907407514
    },
    "mmlu_social_sciences": {
      "acc,none": 0.2560935976600585,
      "acc_stderr,none": 0.007844128454283008,
      "alias": " - social sciences"
    },
    "mmlu_econometrics": {
      "alias": "  - econometrics",
      "acc,none": 0.19298245614035087,
      "acc_stderr,none": 0.037124548537213684
    },
    "mmlu_high_school_geography": {
      "alias": "  - high_school_geography",
      "acc,none": 0.24242424242424243,
      "acc_stderr,none": 0.030532892233932036
    },
    "mmlu_high_school_government_and_politics": {
      "alias": "  - high_school_government_and_politics",
      "acc,none": 0.27461139896373055,
      "acc_stderr,none": 0.03221024508041154
    },
    "mmlu_high_school_macroeconomics": {
      "alias": "  - high_school_macroeconomics",
      "acc,none": 0.2153846153846154,
      "acc_stderr,none": 0.020843034557462874
    },
    "mmlu_high_school_microeconomics": {
      "alias": "  - high_school_microeconomics",
      "acc,none": 0.2605042016806723,
      "acc_stderr,none": 0.02851025151234193
    },
    "mmlu_high_school_psychology": {
      "alias": "  - high_school_psychology",
      "acc,none": 0.23119266055045873,
      "acc_stderr,none": 0.018075750241633156
    },
    "mmlu_human_sexuality": {
      "alias": "  - human_sexuality",
      "acc,none": 0.2366412213740458,
      "acc_stderr,none": 0.037276735755969195
    },
    "mmlu_professional_psychology": {
      "alias": "  - professional_psychology",
      "acc,none": 0.272875816993464,
      "acc_stderr,none": 0.018020474148393577
    },
    "mmlu_public_relations": {
      "alias": "  - public_relations",
      "acc,none": 0.22727272727272727,
      "acc_stderr,none": 0.04013964554072775
    },
    "mmlu_security_studies": {
      "alias": "  - security_studies",
      "acc,none": 0.27346938775510204,
      "acc_stderr,none": 0.028535560337128445
    },
    "mmlu_sociology": {
      "alias": "  - sociology",
      "acc,none": 0.2885572139303483,
      "acc_stderr,none": 0.0320384104021332
    },
    "mmlu_us_foreign_policy": {
      "alias": "  - us_foreign_policy",
      "acc,none": 0.45,
      "acc_stderr,none": 0.05
    },
    "mmlu_stem": {
      "acc,none": 0.2844909609895338,
      "acc_stderr,none": 0.00799670991470876,
      "alias": " - stem"
    },
    "mmlu_abstract_algebra": {
      "alias": "  - abstract_algebra",
      "acc,none": 0.18,
      "acc_stderr,none": 0.038612291966536955
    },
    "mmlu_anatomy": {
      "alias": "  - anatomy",
      "acc,none": 0.32592592592592595,
      "acc_stderr,none": 0.040491220417025055
    },
    "mmlu_astronomy": {
      "alias": "  - astronomy",
      "acc,none": 0.3092105263157895,
      "acc_stderr,none": 0.03761070869867479
    },
    "mmlu_college_biology": {
      "alias": "  - college_biology",
      "acc,none": 0.2777777777777778,
      "acc_stderr,none": 0.037455547914624576
    },
    "mmlu_college_chemistry": {
      "alias": "  - college_chemistry",
      "acc,none": 0.3,
      "acc_stderr,none": 0.046056618647183814
    },
    "mmlu_college_computer_science": {
      "alias": "  - college_computer_science",
      "acc,none": 0.36,
      "acc_stderr,none": 0.04824181513244218
    },
    "mmlu_college_mathematics": {
      "alias": "  - college_mathematics",
      "acc,none": 0.33,
      "acc_stderr,none": 0.04725815626252604
    },
    "mmlu_college_physics": {
      "alias": "  - college_physics",
      "acc,none": 0.24509803921568626,
      "acc_stderr,none": 0.042801058373643966
    },
    "mmlu_computer_security": {
      "alias": "  - computer_security",
      "acc,none": 0.25,
      "acc_stderr,none": 0.04351941398892446
    },
    "mmlu_conceptual_physics": {
      "alias": "  - conceptual_physics",
      "acc,none": 0.28085106382978725,
      "acc_stderr,none": 0.029379170464124818
    },
    "mmlu_electrical_engineering": {
      "alias": "  - electrical_engineering",
      "acc,none": 0.3448275862068966,
      "acc_stderr,none": 0.03960933549451207
    },
    "mmlu_elementary_mathematics": {
      "alias": "  - elementary_mathematics",
      "acc,none": 0.24338624338624337,
      "acc_stderr,none": 0.02210112878741544
    },
    "mmlu_high_school_biology": {
      "alias": "  - high_school_biology",
      "acc,none": 0.2870967741935484,
      "acc_stderr,none": 0.025736542745594528
    },
    "mmlu_high_school_chemistry": {
      "alias": "  - high_school_chemistry",
      "acc,none": 0.1921182266009852,
      "acc_stderr,none": 0.027719315709614775
    },
    "mmlu_high_school_computer_science": {
      "alias": "  - high_school_computer_science",
      "acc,none": 0.3,
      "acc_stderr,none": 0.046056618647183814
    },
    "mmlu_high_school_mathematics": {
      "alias": "  - high_school_mathematics",
      "acc,none": 0.23703703703703705,
      "acc_stderr,none": 0.025928876132766124
    },
    "mmlu_high_school_physics": {
      "alias": "  - high_school_physics",
      "acc,none": 0.3443708609271523,
      "acc_stderr,none": 0.03879687024073327
    },
    "mmlu_high_school_statistics": {
      "alias": "  - high_school_statistics",
      "acc,none": 0.4074074074074074,
      "acc_stderr,none": 0.033509916046960436
    },
    "mmlu_machine_learning": {
      "alias": "  - machine_learning",
      "acc,none": 0.25892857142857145,
      "acc_stderr,none": 0.04157751539865629
    }
  },
  "groups": {
    "mmlu": {
      "acc,none": 0.2722546645776955,
      "acc_stderr,none": 0.0037447829816293645,
      "alias": "mmlu"
    },
    "mmlu_humanities": {
      "acc,none": 0.2680127523910733,
      "acc_stderr,none": 0.00644976998353645,
      "alias": " - humanities"
    },
    "mmlu_other": {
      "acc,none": 0.28226585130350823,
      "acc_stderr,none": 0.008052542494967943,
      "alias": " - other"
    },
    "mmlu_social_sciences": {
      "acc,none": 0.2560935976600585,
      "acc_stderr,none": 0.007844128454283008,
      "alias": " - social sciences"
    },
    "mmlu_stem": {
      "acc,none": 0.2844909609895338,
      "acc_stderr,none": 0.00799670991470876,
      "alias": " - stem"
    }
  },
  "group_subtasks": {
    "mmlu_humanities": [
      "mmlu_international_law",
      "mmlu_professional_law",
      "mmlu_high_school_us_history",
      "mmlu_logical_fallacies",
      "mmlu_jurisprudence",
      "mmlu_moral_disputes",
      "mmlu_high_school_world_history",
      "mmlu_prehistory",
      "mmlu_moral_scenarios",
      "mmlu_formal_logic",
      "mmlu_high_school_european_history",
      "mmlu_world_religions",
      "mmlu_philosophy"
    ],
    "mmlu_social_sciences": [
      "mmlu_high_school_psychology",
      "mmlu_high_school_government_and_politics",
      "mmlu_human_sexuality",
      "mmlu_public_relations",
      "mmlu_security_studies",
      "mmlu_professional_psychology",
      "mmlu_high_school_geography",
      "mmlu_high_school_macroeconomics",
      "mmlu_sociology",
      "mmlu_high_school_microeconomics",
      "mmlu_us_foreign_policy",
      "mmlu_econometrics"
    ],
    "mmlu_other": [
      "mmlu_business_ethics",
      "mmlu_virology",
      "mmlu_marketing",
      "mmlu_global_facts",
      "mmlu_college_medicine",
      "mmlu_professional_accounting",
      "mmlu_management",
      "mmlu_clinical_knowledge",
      "mmlu_medical_genetics",
      "mmlu_miscellaneous",
      "mmlu_human_aging",
      "mmlu_professional_medicine",
      "mmlu_nutrition"
    ],
    "mmlu_stem": [
      "mmlu_high_school_physics",
      "mmlu_high_school_biology",
      "mmlu_computer_security",
      "mmlu_college_biology",
      "mmlu_electrical_engineering",
      "mmlu_high_school_computer_science",
      "mmlu_conceptual_physics",
      "mmlu_high_school_mathematics",
      "mmlu_college_mathematics",
      "mmlu_college_computer_science",
      "mmlu_anatomy",
      "mmlu_abstract_algebra",
      "mmlu_elementary_mathematics",
      "mmlu_college_physics",
      "mmlu_astronomy",
      "mmlu_college_chemistry",
      "mmlu_machine_learning",
      "mmlu_high_school_statistics",
      "mmlu_high_school_chemistry"
    ],
    "mmlu": [
      "mmlu_stem",
      "mmlu_other",
      "mmlu_social_sciences",
      "mmlu_humanities"
    ]
  },
  "configs": {
    "mmlu_abstract_algebra": {
      "task": "mmlu_abstract_algebra",
      "task_alias": "abstract_algebra",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "abstract_algebra",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about abstract algebra.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_anatomy": {
      "task": "mmlu_anatomy",
      "task_alias": "anatomy",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "anatomy",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_astronomy": {
      "task": "mmlu_astronomy",
      "task_alias": "astronomy",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "astronomy",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about astronomy.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_business_ethics": {
      "task": "mmlu_business_ethics",
      "task_alias": "business_ethics",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "business_ethics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about business ethics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_clinical_knowledge": {
      "task": "mmlu_clinical_knowledge",
      "task_alias": "clinical_knowledge",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "clinical_knowledge",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_biology": {
      "task": "mmlu_college_biology",
      "task_alias": "college_biology",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_biology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college biology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_chemistry": {
      "task": "mmlu_college_chemistry",
      "task_alias": "college_chemistry",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_chemistry",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college chemistry.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_computer_science": {
      "task": "mmlu_college_computer_science",
      "task_alias": "college_computer_science",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_computer_science",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college computer science.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_mathematics": {
      "task": "mmlu_college_mathematics",
      "task_alias": "college_mathematics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_mathematics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college mathematics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_medicine": {
      "task": "mmlu_college_medicine",
      "task_alias": "college_medicine",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_medicine",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college medicine.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_college_physics": {
      "task": "mmlu_college_physics",
      "task_alias": "college_physics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "college_physics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about college physics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_computer_security": {
      "task": "mmlu_computer_security",
      "task_alias": "computer_security",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "computer_security",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about computer security.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_conceptual_physics": {
      "task": "mmlu_conceptual_physics",
      "task_alias": "conceptual_physics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "conceptual_physics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about conceptual physics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_econometrics": {
      "task": "mmlu_econometrics",
      "task_alias": "econometrics",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "econometrics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about econometrics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_electrical_engineering": {
      "task": "mmlu_electrical_engineering",
      "task_alias": "electrical_engineering",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "electrical_engineering",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about electrical engineering.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_elementary_mathematics": {
      "task": "mmlu_elementary_mathematics",
      "task_alias": "elementary_mathematics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "elementary_mathematics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about elementary mathematics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_formal_logic": {
      "task": "mmlu_formal_logic",
      "task_alias": "formal_logic",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "formal_logic",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about formal logic.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_global_facts": {
      "task": "mmlu_global_facts",
      "task_alias": "global_facts",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "global_facts",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about global facts.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_biology": {
      "task": "mmlu_high_school_biology",
      "task_alias": "high_school_biology",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_biology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school biology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_chemistry": {
      "task": "mmlu_high_school_chemistry",
      "task_alias": "high_school_chemistry",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_chemistry",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school chemistry.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_computer_science": {
      "task": "mmlu_high_school_computer_science",
      "task_alias": "high_school_computer_science",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_computer_science",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school computer science.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_european_history": {
      "task": "mmlu_high_school_european_history",
      "task_alias": "high_school_european_history",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_european_history",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school european history.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_geography": {
      "task": "mmlu_high_school_geography",
      "task_alias": "high_school_geography",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_geography",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school geography.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_government_and_politics": {
      "task": "mmlu_high_school_government_and_politics",
      "task_alias": "high_school_government_and_politics",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_government_and_politics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school government and politics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_macroeconomics": {
      "task": "mmlu_high_school_macroeconomics",
      "task_alias": "high_school_macroeconomics",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_macroeconomics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school macroeconomics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_mathematics": {
      "task": "mmlu_high_school_mathematics",
      "task_alias": "high_school_mathematics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_mathematics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school mathematics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_microeconomics": {
      "task": "mmlu_high_school_microeconomics",
      "task_alias": "high_school_microeconomics",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_microeconomics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school microeconomics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_physics": {
      "task": "mmlu_high_school_physics",
      "task_alias": "high_school_physics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_physics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school physics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_psychology": {
      "task": "mmlu_high_school_psychology",
      "task_alias": "high_school_psychology",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_psychology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school psychology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_statistics": {
      "task": "mmlu_high_school_statistics",
      "task_alias": "high_school_statistics",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_statistics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school statistics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_us_history": {
      "task": "mmlu_high_school_us_history",
      "task_alias": "high_school_us_history",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_us_history",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school us history.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_high_school_world_history": {
      "task": "mmlu_high_school_world_history",
      "task_alias": "high_school_world_history",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "high_school_world_history",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about high school world history.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_human_aging": {
      "task": "mmlu_human_aging",
      "task_alias": "human_aging",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "human_aging",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about human aging.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_human_sexuality": {
      "task": "mmlu_human_sexuality",
      "task_alias": "human_sexuality",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "human_sexuality",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about human sexuality.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_international_law": {
      "task": "mmlu_international_law",
      "task_alias": "international_law",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "international_law",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about international law.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_jurisprudence": {
      "task": "mmlu_jurisprudence",
      "task_alias": "jurisprudence",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "jurisprudence",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about jurisprudence.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_logical_fallacies": {
      "task": "mmlu_logical_fallacies",
      "task_alias": "logical_fallacies",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "logical_fallacies",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about logical fallacies.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_machine_learning": {
      "task": "mmlu_machine_learning",
      "task_alias": "machine_learning",
      "tag": "mmlu_stem_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "machine_learning",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about machine learning.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_management": {
      "task": "mmlu_management",
      "task_alias": "management",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "management",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about management.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_marketing": {
      "task": "mmlu_marketing",
      "task_alias": "marketing",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "marketing",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about marketing.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_medical_genetics": {
      "task": "mmlu_medical_genetics",
      "task_alias": "medical_genetics",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "medical_genetics",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about medical genetics.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_miscellaneous": {
      "task": "mmlu_miscellaneous",
      "task_alias": "miscellaneous",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "miscellaneous",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about miscellaneous.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_moral_disputes": {
      "task": "mmlu_moral_disputes",
      "task_alias": "moral_disputes",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "moral_disputes",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about moral disputes.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_moral_scenarios": {
      "task": "mmlu_moral_scenarios",
      "task_alias": "moral_scenarios",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "moral_scenarios",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about moral scenarios.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_nutrition": {
      "task": "mmlu_nutrition",
      "task_alias": "nutrition",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "nutrition",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about nutrition.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_philosophy": {
      "task": "mmlu_philosophy",
      "task_alias": "philosophy",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "philosophy",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about philosophy.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_prehistory": {
      "task": "mmlu_prehistory",
      "task_alias": "prehistory",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "prehistory",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about prehistory.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_professional_accounting": {
      "task": "mmlu_professional_accounting",
      "task_alias": "professional_accounting",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "professional_accounting",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about professional accounting.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_professional_law": {
      "task": "mmlu_professional_law",
      "task_alias": "professional_law",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "professional_law",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about professional law.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_professional_medicine": {
      "task": "mmlu_professional_medicine",
      "task_alias": "professional_medicine",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "professional_medicine",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about professional medicine.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_professional_psychology": {
      "task": "mmlu_professional_psychology",
      "task_alias": "professional_psychology",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "professional_psychology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about professional psychology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_public_relations": {
      "task": "mmlu_public_relations",
      "task_alias": "public_relations",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "public_relations",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about public relations.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_security_studies": {
      "task": "mmlu_security_studies",
      "task_alias": "security_studies",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "security_studies",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about security studies.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_sociology": {
      "task": "mmlu_sociology",
      "task_alias": "sociology",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "sociology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about sociology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_us_foreign_policy": {
      "task": "mmlu_us_foreign_policy",
      "task_alias": "us_foreign_policy",
      "tag": "mmlu_social_sciences_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "us_foreign_policy",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about us foreign policy.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_virology": {
      "task": "mmlu_virology",
      "task_alias": "virology",
      "tag": "mmlu_other_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "virology",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about virology.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    },
    "mmlu_world_religions": {
      "task": "mmlu_world_religions",
      "task_alias": "world_religions",
      "tag": "mmlu_humanities_tasks",
      "dataset_path": "hails/mmlu_no_train",
      "dataset_name": "world_religions",
      "dataset_kwargs": {
        "trust_remote_code": true
      },
      "test_split": "test",
      "fewshot_split": "dev",
      "doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
      "doc_to_target": "answer",
      "doc_to_choice": [
        "A",
        "B",
        "C",
        "D"
      ],
      "description": "The following are multiple choice questions (with answers) about world religions.\n\n",
      "target_delimiter": " ",
      "fewshot_delimiter": "\n\n",
      "fewshot_config": {
        "sampler": "first_n"
      },
      "num_fewshot": 5,
      "metric_list": [
        {
          "metric": "acc",
          "aggregation": "mean",
          "higher_is_better": true
        }
      ],
      "output_type": "multiple_choice",
      "repeats": 1,
      "should_decontaminate": false,
      "metadata": {
        "version": 1.0
      }
    }
  },
  "versions": {
    "mmlu": 2,
    "mmlu_abstract_algebra": 1.0,
    "mmlu_anatomy": 1.0,
    "mmlu_astronomy": 1.0,
    "mmlu_business_ethics": 1.0,
    "mmlu_clinical_knowledge": 1.0,
    "mmlu_college_biology": 1.0,
    "mmlu_college_chemistry": 1.0,
    "mmlu_college_computer_science": 1.0,
    "mmlu_college_mathematics": 1.0,
    "mmlu_college_medicine": 1.0,
    "mmlu_college_physics": 1.0,
    "mmlu_computer_security": 1.0,
    "mmlu_conceptual_physics": 1.0,
    "mmlu_econometrics": 1.0,
    "mmlu_electrical_engineering": 1.0,
    "mmlu_elementary_mathematics": 1.0,
    "mmlu_formal_logic": 1.0,
    "mmlu_global_facts": 1.0,
    "mmlu_high_school_biology": 1.0,
    "mmlu_high_school_chemistry": 1.0,
    "mmlu_high_school_computer_science": 1.0,
    "mmlu_high_school_european_history": 1.0,
    "mmlu_high_school_geography": 1.0,
    "mmlu_high_school_government_and_politics": 1.0,
    "mmlu_high_school_macroeconomics": 1.0,
    "mmlu_high_school_mathematics": 1.0,
    "mmlu_high_school_microeconomics": 1.0,
    "mmlu_high_school_physics": 1.0,
    "mmlu_high_school_psychology": 1.0,
    "mmlu_high_school_statistics": 1.0,
    "mmlu_high_school_us_history": 1.0,
    "mmlu_high_school_world_history": 1.0,
    "mmlu_human_aging": 1.0,
    "mmlu_human_sexuality": 1.0,
    "mmlu_humanities": 2,
    "mmlu_international_law": 1.0,
    "mmlu_jurisprudence": 1.0,
    "mmlu_logical_fallacies": 1.0,
    "mmlu_machine_learning": 1.0,
    "mmlu_management": 1.0,
    "mmlu_marketing": 1.0,
    "mmlu_medical_genetics": 1.0,
    "mmlu_miscellaneous": 1.0,
    "mmlu_moral_disputes": 1.0,
    "mmlu_moral_scenarios": 1.0,
    "mmlu_nutrition": 1.0,
    "mmlu_other": 2,
    "mmlu_philosophy": 1.0,
    "mmlu_prehistory": 1.0,
    "mmlu_professional_accounting": 1.0,
    "mmlu_professional_law": 1.0,
    "mmlu_professional_medicine": 1.0,
    "mmlu_professional_psychology": 1.0,
    "mmlu_public_relations": 1.0,
    "mmlu_security_studies": 1.0,
    "mmlu_social_sciences": 2,
    "mmlu_sociology": 1.0,
    "mmlu_stem": 2,
    "mmlu_us_foreign_policy": 1.0,
    "mmlu_virology": 1.0,
    "mmlu_world_religions": 1.0
  },
  "n-shot": {
    "mmlu_abstract_algebra": 5,
    "mmlu_anatomy": 5,
    "mmlu_astronomy": 5,
    "mmlu_business_ethics": 5,
    "mmlu_clinical_knowledge": 5,
    "mmlu_college_biology": 5,
    "mmlu_college_chemistry": 5,
    "mmlu_college_computer_science": 5,
    "mmlu_college_mathematics": 5,
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  "date": 1724306207.2293446,
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  "end_time": 1877797.700030479,
  "total_evaluation_time_seconds": "1078.6043460611254"
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