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| "dataset_name": "Agricultural-Sciences", | |
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| "kmmlu_aviation_engineering_and_maintenance": { | |
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| "dataset_name": "Aviation-Engineering-and-Maintenance", | |
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| "kmmlu_biology": { | |
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| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Biology", | |
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| "kmmlu_chemical_engineering": { | |
| "task": "kmmlu_chemical_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Chemical-Engineering", | |
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| "kmmlu_chemistry": { | |
| "task": "kmmlu_chemistry", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Chemistry", | |
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| "task": "kmmlu_criminal_law", | |
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| "dataset_name": "Criminal-Law", | |
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| "dataset_name": "Ecology", | |
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| "task": "kmmlu_economics", | |
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| "dataset_name": "Economics", | |
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| "task": "kmmlu_education", | |
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| "dataset_name": "Education", | |
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| "task": "kmmlu_electrical_engineering", | |
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| "dataset_name": "Electrical-Engineering", | |
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| "dataset_name": "Energy-Management", | |
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| "kmmlu_environmental_science": { | |
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| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Environmental-Science", | |
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| "task": "kmmlu_fashion", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
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| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Food-Processing", | |
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| "kmmlu_gas_technology_and_engineering": { | |
| "task": "kmmlu_gas_technology_and_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Gas-Technology-and-Engineering", | |
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| "kmmlu_geomatics": { | |
| "task": "kmmlu_geomatics", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
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| "kmmlu_health": { | |
| "task": "kmmlu_health", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
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| } | |
| }, | |
| "kmmlu_industrial_engineer": { | |
| "task": "kmmlu_industrial_engineer", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Industrial-Engineer", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| { | |
| "metric": "acc_norm", | |
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| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
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| } | |
| }, | |
| "kmmlu_information_technology": { | |
| "task": "kmmlu_information_technology", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Information-Technology", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| { | |
| "metric": "acc_norm", | |
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| } | |
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| "output_type": "multiple_choice", | |
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| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_interior_architecture_and_design": { | |
| "task": "kmmlu_interior_architecture_and_design", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Interior-Architecture-and-Design", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
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| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_law": { | |
| "task": "kmmlu_law", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Law", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
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| "metric_list": [ | |
| { | |
| "metric": "acc", | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_machine_design_and_manufacturing": { | |
| "task": "kmmlu_machine_design_and_manufacturing", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Machine-Design-and-Manufacturing", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
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| "C", | |
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| "description": "", | |
| "target_delimiter": " ", | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_management": { | |
| "task": "kmmlu_management", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Management", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_maritime_engineering": { | |
| "task": "kmmlu_maritime_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Maritime-Engineering", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
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| "C", | |
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| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "metric_list": [ | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_marketing": { | |
| "task": "kmmlu_marketing", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Marketing", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
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| ], | |
| "description": "", | |
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| }, | |
| { | |
| "metric": "acc_norm", | |
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| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_materials_engineering": { | |
| "task": "kmmlu_materials_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Materials-Engineering", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
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| "D" | |
| ], | |
| "description": "", | |
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| }, | |
| { | |
| "metric": "acc_norm", | |
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| } | |
| ], | |
| "output_type": "multiple_choice", | |
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| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_mechanical_engineering": { | |
| "task": "kmmlu_mechanical_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Mechanical-Engineering", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
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| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_nondestructive_testing": { | |
| "task": "kmmlu_nondestructive_testing", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Nondestructive-Testing", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "metric_list": [ | |
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| "higher_is_better": true | |
| }, | |
| { | |
| "metric": "acc_norm", | |
| "aggregation": "mean", | |
| "higher_is_better": true | |
| } | |
| ], | |
| "output_type": "multiple_choice", | |
| "repeats": 1, | |
| "should_decontaminate": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "kmmlu_patent": { | |
| "task": "kmmlu_patent", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Patent", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
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| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "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": false, | |
| "metadata": { | |
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| } | |
| }, | |
| "kmmlu_political_science_and_sociology": { | |
| "task": "kmmlu_political_science_and_sociology", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Political-Science-and-Sociology", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "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": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "kmmlu_psychology": { | |
| "task": "kmmlu_psychology", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Psychology", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "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": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "kmmlu_public_safety": { | |
| "task": "kmmlu_public_safety", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Public-Safety", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "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": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "kmmlu_railway_and_automotive_engineering": { | |
| "task": "kmmlu_railway_and_automotive_engineering", | |
| "group": "kmmlu", | |
| "dataset_path": "HAERAE-HUB/K-MMLU-Preview", | |
| "dataset_name": "Railway-and-Automotive-Engineering", | |
| "training_split": "train", | |
| "validation_split": "dev", | |
| "test_split": "test", | |
| "fewshot_split": "dev", | |
| "doc_to_text": "{{question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n정답：", | |
| "doc_to_target": "{{['A', 'B', 'C', 'D'][answer-1]}}", | |
| "doc_to_choice": [ | |
| "A", | |
| "B", | |
| "C", | |
| "D" | |
| ], | |
| "description": "", | |
| "target_delimiter": " ", | |
| "fewshot_delimiter": "\n\n", | |
| "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": false, | |
| "metadata": { | |
| "version": 1.1 | |
| } | |
| }, | |
| "kmmlu_real_estate": { | |
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