diff --git "a/eval_results.json" "b/eval_results.json" new file mode 100644--- /dev/null +++ "b/eval_results.json" @@ -0,0 +1,3210 @@ +[ + { + "results": { + "arc_challenge": { + "acc,none": 0.6006825938566553, + "acc_stderr,none": 0.014312094557946705, + "acc_norm,none": 0.6271331058020477, + "acc_norm_stderr,none": 0.014131176760131165, + "alias": "arc_challenge" + } + }, + "configs": { + "arc_challenge": { + "task": "arc_challenge", + "group": [ + "ai2_arc" + ], + "dataset_path": "ai2_arc", + "dataset_name": "ARC-Challenge", + "training_split": "train", + "validation_split": "validation", + "test_split": "test", + "doc_to_text": "Question: {{question}}\nAnswer:", + "doc_to_target": "{{choices.label.index(answerKey)}}", + "doc_to_choice": "{{choices.text}}", + "description": "", + "target_delimiter": " ", + "fewshot_delimiter": "\n\n", + "num_fewshot": 25, + "metric_list": [ + { + "metric": "acc", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "acc_norm", + 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"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": 0 + } + }, + "mmlu_anatomy": { + "task": "mmlu_anatomy", + "task_alias": "anatomy", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "anatomy", + "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": 0 + } + }, + "mmlu_astronomy": { + "task": "mmlu_astronomy", + "task_alias": "astronomy", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "astronomy", + "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": 0 + } + }, + "mmlu_business_ethics": { + "task": "mmlu_business_ethics", + "task_alias": "business_ethics", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "business_ethics", + "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": 0 + } + }, + "mmlu_clinical_knowledge": { + "task": "mmlu_clinical_knowledge", + "task_alias": "clinical_knowledge", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "clinical_knowledge", + "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": 0 + } + }, + "mmlu_college_biology": { + "task": "mmlu_college_biology", + "task_alias": "college_biology", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_biology", + "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": 0 + } + }, + "mmlu_college_chemistry": { + "task": "mmlu_college_chemistry", + "task_alias": "college_chemistry", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_chemistry", + "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": 0 + } + }, + "mmlu_college_computer_science": { + "task": "mmlu_college_computer_science", + "task_alias": "college_computer_science", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_computer_science", + "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": 0 + } + }, + "mmlu_college_mathematics": { + "task": "mmlu_college_mathematics", + "task_alias": "college_mathematics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_mathematics", + "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": 0 + } + }, + "mmlu_college_medicine": { + "task": "mmlu_college_medicine", + "task_alias": "college_medicine", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_medicine", + "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": 0 + } + }, + "mmlu_college_physics": { + "task": "mmlu_college_physics", + "task_alias": "college_physics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "college_physics", + "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": 0 + } + }, + "mmlu_computer_security": { + "task": "mmlu_computer_security", + "task_alias": "computer_security", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "computer_security", + "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": 0 + } + }, + "mmlu_conceptual_physics": { + "task": "mmlu_conceptual_physics", + "task_alias": "conceptual_physics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "conceptual_physics", + "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": 0 + } + }, + "mmlu_econometrics": { + "task": "mmlu_econometrics", + "task_alias": "econometrics", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "econometrics", + "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": 0 + } + }, + "mmlu_electrical_engineering": { + "task": "mmlu_electrical_engineering", + "task_alias": "electrical_engineering", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "electrical_engineering", + "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": 0 + } + }, + "mmlu_elementary_mathematics": { + "task": "mmlu_elementary_mathematics", + "task_alias": "elementary_mathematics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "elementary_mathematics", + "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": 0 + } + }, + "mmlu_formal_logic": { + "task": "mmlu_formal_logic", + "task_alias": "formal_logic", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "formal_logic", + "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": 0 + } + }, + "mmlu_global_facts": { + "task": "mmlu_global_facts", + "task_alias": "global_facts", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "global_facts", + "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": 0 + } + }, + "mmlu_high_school_biology": { + "task": "mmlu_high_school_biology", + "task_alias": "high_school_biology", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_biology", + "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": 0 + } + }, + "mmlu_high_school_chemistry": { + "task": "mmlu_high_school_chemistry", + "task_alias": "high_school_chemistry", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_chemistry", + "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": 0 + } + }, + "mmlu_high_school_computer_science": { + "task": "mmlu_high_school_computer_science", + "task_alias": "high_school_computer_science", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_computer_science", + "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": 0 + } + }, + "mmlu_high_school_european_history": { + "task": "mmlu_high_school_european_history", + "task_alias": "high_school_european_history", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_european_history", + "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": 0 + } + }, + "mmlu_high_school_geography": { + "task": "mmlu_high_school_geography", + "task_alias": "high_school_geography", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_geography", + "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": 0 + } + }, + "mmlu_high_school_government_and_politics": { + "task": "mmlu_high_school_government_and_politics", + "task_alias": "high_school_government_and_politics", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_government_and_politics", + "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": 0 + } + }, + "mmlu_high_school_macroeconomics": { + "task": "mmlu_high_school_macroeconomics", + "task_alias": "high_school_macroeconomics", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_macroeconomics", + "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": 0 + } + }, + "mmlu_high_school_mathematics": { + "task": "mmlu_high_school_mathematics", + "task_alias": "high_school_mathematics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_mathematics", + "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": 0 + } + }, + "mmlu_high_school_microeconomics": { + "task": "mmlu_high_school_microeconomics", + "task_alias": "high_school_microeconomics", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_microeconomics", + "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": 0 + } + }, + "mmlu_high_school_physics": { + "task": "mmlu_high_school_physics", + "task_alias": "high_school_physics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_physics", + "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": 0 + } + }, + "mmlu_high_school_psychology": { + "task": "mmlu_high_school_psychology", + "task_alias": "high_school_psychology", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_psychology", + "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": 0 + } + }, + "mmlu_high_school_statistics": { + "task": "mmlu_high_school_statistics", + "task_alias": "high_school_statistics", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_statistics", + "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": 0 + } + }, + "mmlu_high_school_us_history": { + "task": "mmlu_high_school_us_history", + "task_alias": "high_school_us_history", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_us_history", + "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": 0 + } + }, + "mmlu_high_school_world_history": { + "task": "mmlu_high_school_world_history", + "task_alias": "high_school_world_history", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "high_school_world_history", + "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": 0 + } + }, + "mmlu_human_aging": { + "task": "mmlu_human_aging", + "task_alias": "human_aging", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "human_aging", + "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": 0 + } + }, + "mmlu_human_sexuality": { + "task": "mmlu_human_sexuality", + "task_alias": "human_sexuality", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "human_sexuality", + "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": 0 + } + }, + "mmlu_international_law": { + "task": "mmlu_international_law", + "task_alias": "international_law", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "international_law", + "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": 0 + } + }, + "mmlu_jurisprudence": { + "task": "mmlu_jurisprudence", + "task_alias": "jurisprudence", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "jurisprudence", + "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": 0 + } + }, + "mmlu_logical_fallacies": { + "task": "mmlu_logical_fallacies", + "task_alias": "logical_fallacies", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "logical_fallacies", + "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": 0 + } + }, + "mmlu_machine_learning": { + "task": "mmlu_machine_learning", + "task_alias": "machine_learning", + "group": "mmlu_stem", + "group_alias": "stem", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "machine_learning", + "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": 0 + } + }, + "mmlu_management": { + "task": "mmlu_management", + "task_alias": "management", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "management", + "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": 0 + } + }, + "mmlu_marketing": { + "task": "mmlu_marketing", + "task_alias": "marketing", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "marketing", + "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": 0 + } + }, + "mmlu_medical_genetics": { + "task": "mmlu_medical_genetics", + "task_alias": "medical_genetics", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "medical_genetics", + "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": 0 + } + }, + "mmlu_miscellaneous": { + "task": "mmlu_miscellaneous", + "task_alias": "miscellaneous", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "miscellaneous", + "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": 0 + } + }, + "mmlu_moral_disputes": { + "task": "mmlu_moral_disputes", + "task_alias": "moral_disputes", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "moral_disputes", + "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": 0 + } + }, + "mmlu_moral_scenarios": { + "task": "mmlu_moral_scenarios", + "task_alias": "moral_scenarios", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "moral_scenarios", + "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": 0 + } + }, + "mmlu_nutrition": { + "task": "mmlu_nutrition", + "task_alias": "nutrition", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "nutrition", + "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": 0 + } + }, + "mmlu_philosophy": { + "task": "mmlu_philosophy", + "task_alias": "philosophy", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "philosophy", + "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": 0 + } + }, + "mmlu_prehistory": { + "task": "mmlu_prehistory", + "task_alias": "prehistory", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "prehistory", + "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": 0 + } + }, + "mmlu_professional_accounting": { + "task": "mmlu_professional_accounting", + "task_alias": "professional_accounting", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "professional_accounting", + "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": 0 + } + }, + "mmlu_professional_law": { + "task": "mmlu_professional_law", + "task_alias": "professional_law", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "professional_law", + "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": 0 + } + }, + "mmlu_professional_medicine": { + "task": "mmlu_professional_medicine", + "task_alias": "professional_medicine", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "professional_medicine", + "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": 0 + } + }, + "mmlu_professional_psychology": { + "task": "mmlu_professional_psychology", + "task_alias": "professional_psychology", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "professional_psychology", + "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": 0 + } + }, + "mmlu_public_relations": { + "task": "mmlu_public_relations", + "task_alias": "public_relations", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "public_relations", + "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": 0 + } + }, + "mmlu_security_studies": { + "task": "mmlu_security_studies", + "task_alias": "security_studies", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "security_studies", + "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": 0 + } + }, + "mmlu_sociology": { + "task": "mmlu_sociology", + "task_alias": "sociology", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "sociology", + "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": 0 + } + }, + "mmlu_us_foreign_policy": { + "task": "mmlu_us_foreign_policy", + "task_alias": "us_foreign_policy", + "group": "mmlu_social_sciences", + "group_alias": "social_sciences", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "us_foreign_policy", + "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": 0 + } + }, + "mmlu_virology": { + "task": "mmlu_virology", + "task_alias": "virology", + "group": "mmlu_other", + "group_alias": "other", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "virology", + "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": 0 + } + }, + "mmlu_world_religions": { + "task": "mmlu_world_religions", + "task_alias": "world_religions", + "group": "mmlu_humanities", + "group_alias": "humanities", + "dataset_path": "hails/mmlu_no_train", + "dataset_name": "world_religions", + "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": 0 + } + } + }, + "versions": { + "mmlu": "N/A", + "mmlu_abstract_algebra": "Yaml", + "mmlu_anatomy": "Yaml", + "mmlu_astronomy": "Yaml", + "mmlu_business_ethics": "Yaml", + "mmlu_clinical_knowledge": "Yaml", + "mmlu_college_biology": "Yaml", + "mmlu_college_chemistry": "Yaml", + "mmlu_college_computer_science": "Yaml", + "mmlu_college_mathematics": "Yaml", + "mmlu_college_medicine": "Yaml", + "mmlu_college_physics": "Yaml", + "mmlu_computer_security": "Yaml", + "mmlu_conceptual_physics": "Yaml", + "mmlu_econometrics": "Yaml", + "mmlu_electrical_engineering": "Yaml", + "mmlu_elementary_mathematics": "Yaml", + "mmlu_formal_logic": "Yaml", + "mmlu_global_facts": "Yaml", + "mmlu_high_school_biology": "Yaml", + "mmlu_high_school_chemistry": "Yaml", + "mmlu_high_school_computer_science": "Yaml", + "mmlu_high_school_european_history": "Yaml", + "mmlu_high_school_geography": "Yaml", + "mmlu_high_school_government_and_politics": "Yaml", + "mmlu_high_school_macroeconomics": "Yaml", + "mmlu_high_school_mathematics": "Yaml", + "mmlu_high_school_microeconomics": "Yaml", + "mmlu_high_school_physics": "Yaml", + "mmlu_high_school_psychology": "Yaml", + "mmlu_high_school_statistics": "Yaml", + "mmlu_high_school_us_history": "Yaml", + "mmlu_high_school_world_history": "Yaml", + "mmlu_human_aging": "Yaml", + "mmlu_human_sexuality": "Yaml", + "mmlu_humanities": "N/A", + "mmlu_international_law": "Yaml", + "mmlu_jurisprudence": "Yaml", + "mmlu_logical_fallacies": "Yaml", + "mmlu_machine_learning": "Yaml", + "mmlu_management": "Yaml", + "mmlu_marketing": "Yaml", + "mmlu_medical_genetics": "Yaml", + "mmlu_miscellaneous": "Yaml", + "mmlu_moral_disputes": "Yaml", + "mmlu_moral_scenarios": "Yaml", + "mmlu_nutrition": "Yaml", + "mmlu_other": "N/A", + "mmlu_philosophy": "Yaml", + "mmlu_prehistory": "Yaml", + "mmlu_professional_accounting": "Yaml", + "mmlu_professional_law": "Yaml", + "mmlu_professional_medicine": "Yaml", + "mmlu_professional_psychology": "Yaml", + "mmlu_public_relations": "Yaml", + "mmlu_security_studies": "Yaml", + "mmlu_social_sciences": "N/A", + "mmlu_sociology": "Yaml", + "mmlu_stem": "N/A", + "mmlu_us_foreign_policy": "Yaml", + "mmlu_virology": "Yaml", + "mmlu_world_religions": "Yaml" + }, + "n-shot": { + "mmlu": 0, + "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, + "mmlu_college_medicine": 5, + "mmlu_college_physics": 5, + "mmlu_computer_security": 5, + "mmlu_conceptual_physics": 5, + "mmlu_econometrics": 5, + "mmlu_electrical_engineering": 5, + "mmlu_elementary_mathematics": 5, + "mmlu_formal_logic": 5, + "mmlu_global_facts": 5, + "mmlu_high_school_biology": 5, + "mmlu_high_school_chemistry": 5, + "mmlu_high_school_computer_science": 5, + "mmlu_high_school_european_history": 5, + "mmlu_high_school_geography": 5, + "mmlu_high_school_government_and_politics": 5, + "mmlu_high_school_macroeconomics": 5, + "mmlu_high_school_mathematics": 5, + "mmlu_high_school_microeconomics": 5, + "mmlu_high_school_physics": 5, + "mmlu_high_school_psychology": 5, + "mmlu_high_school_statistics": 5, + "mmlu_high_school_us_history": 5, + "mmlu_high_school_world_history": 5, + "mmlu_human_aging": 5, + "mmlu_human_sexuality": 5, + "mmlu_humanities": 5, + "mmlu_international_law": 5, + "mmlu_jurisprudence": 5, + "mmlu_logical_fallacies": 5, + "mmlu_machine_learning": 5, + "mmlu_management": 5, + "mmlu_marketing": 5, + "mmlu_medical_genetics": 5, + "mmlu_miscellaneous": 5, + "mmlu_moral_disputes": 5, + "mmlu_moral_scenarios": 5, + "mmlu_nutrition": 5, + "mmlu_other": 5, + "mmlu_philosophy": 5, + "mmlu_prehistory": 5, + "mmlu_professional_accounting": 5, + "mmlu_professional_law": 5, + "mmlu_professional_medicine": 5, + "mmlu_professional_psychology": 5, + "mmlu_public_relations": 5, + "mmlu_security_studies": 5, + "mmlu_social_sciences": 5, + "mmlu_sociology": 5, + "mmlu_stem": 5, + "mmlu_us_foreign_policy": 5, + "mmlu_virology": 5, + "mmlu_world_religions": 5 + }, + "config": { + "model": "vllm", + "model_args": "pretrained=cognitivecomputations/dolphin-2.2-mistral-7b,tensor_parallel_size=4,dtype=auto,trust_remote_code=True,gpu_memory_utilization=0.8", + "batch_size": "8", + "batch_sizes": [], + "device": null, + "use_cache": null, + 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Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: I have no comment.\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.'%}{{prompt_qa + '\n\nQ: ' + question}}", + "doc_to_target": " ", + "process_results": "", + "description": "", + "target_delimiter": " ", + "fewshot_delimiter": "\n\n", + "num_fewshot": 0, + "metric_list": [ + { + "metric": "bleu_max", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "bleu_acc", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "bleu_diff", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge1_max", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge1_acc", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge1_diff", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge2_max", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge2_acc", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rouge2_diff", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rougeL_max", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rougeL_acc", + "aggregation": "mean", + "higher_is_better": true + }, + { + "metric": "rougeL_diff", + "aggregation": "mean", + "higher_is_better": true + } + ], + "output_type": "generate_until", + "generation_kwargs": { + "until": [ + "\n\n" + ], + "do_sample": false + }, + "repeats": 1, + "should_decontaminate": true, + "doc_to_decontamination_query": "question", + "metadata": { + "version": 2 + } + }, + "truthfulqa_mc1": { + "task": "truthfulqa_mc1", + "group": [ + "truthfulqa" + ], + "dataset_path": "truthful_qa", + "dataset_name": "multiple_choice", + "validation_split": "validation", + "doc_to_text": "{% set prompt_qa = 'Q: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: I have no comment.\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.'%}{{prompt_qa + '\n\nQ: ' + question + '\nA:'}}", + "doc_to_target": 0, + "doc_to_choice": "{{mc1_targets.choices}}", + "description": "", + "target_delimiter": " ", + "fewshot_delimiter": "\n\n", + "num_fewshot": 0, + "metric_list": [ + { + "metric": "acc", + "aggregation": "mean", + "higher_is_better": true + } + ], + "output_type": "multiple_choice", + "repeats": 1, + "should_decontaminate": true, + "doc_to_decontamination_query": "question", + "metadata": { + "version": 2 + } + }, + "truthfulqa_mc2": { + "task": "truthfulqa_mc2", + "group": [ + "truthfulqa" + ], + "dataset_path": "truthful_qa", + "dataset_name": "multiple_choice", + "validation_split": "validation", + "doc_to_text": "{% set prompt_qa = 'Q: What is human life expectancy in the United States?\nA: Human life expectancy in the United States is 78 years.\n\nQ: Who was president of the United States in 1955?\nA: Dwight D. Eisenhower was president of the United States in 1955.\n\nQ: Which party did he belong to?\nA: He belonged to the Republican Party.\n\nQ: What is the square root of banana?\nA: I have no comment.\n\nQ: How does a telescope work?\nA: Telescopes use lenses or mirrors to focus light and make objects appear closer.\n\nQ: Where were the 1992 Olympics held?\nA: The 1992 Olympics were held in Barcelona, Spain.'%}{{prompt_qa + '\n\nQ: ' + question + '\nA:'}}", + "doc_to_target": 0, + "doc_to_choice": "{{mc2_targets.choices}}", + "process_results": "", + "description": "", + "target_delimiter": " ", + "fewshot_delimiter": "\n\n", + "num_fewshot": 0, + "metric_list": [ + { + "metric": "acc", + "aggregation": "mean", + "higher_is_better": true + } + ], + "output_type": "multiple_choice", + "repeats": 1, + "should_decontaminate": true, + "doc_to_decontamination_query": "question", + "metadata": { + "version": 2 + } + } + }, + "versions": { + "truthfulqa": "N/A", + "truthfulqa_gen": "Yaml", + "truthfulqa_mc1": "Yaml", + "truthfulqa_mc2": "Yaml" + }, + "n-shot": { + "truthfulqa": 0, + "truthfulqa_gen": 0, + "truthfulqa_mc1": 0, + "truthfulqa_mc2": 0 + }, + "config": { + "model": "vllm", + "model_args": "pretrained=cognitivecomputations/dolphin-2.2-mistral-7b,tensor_parallel_size=4,dtype=auto,trust_remote_code=True,gpu_memory_utilization=0.8", + "batch_size": "8", + "batch_sizes": [], + "device": null, + "use_cache": null, + "limit": null, + "bootstrap_iters": 100000, + "gen_kwargs": null + }, + "git_hash": "46c79664" + }, + { + "results": { + "winogrande": { + "acc,none": 0.7505919494869772, + "acc_stderr,none": 0.012160189196930685, + "alias": "winogrande" + } + }, + "configs": { + "winogrande": { + "task": "winogrande", + "dataset_path": "winogrande", + "dataset_name": "winogrande_xl", + "training_split": "train", + "validation_split": "validation", + "doc_to_text": "", + "doc_to_target": "", + "doc_to_choice": "", + "description": "", + "target_delimiter": " ", + "fewshot_delimiter": "\n\n", + "num_fewshot": 5, + "metric_list": [ + { + "metric": "acc", + "aggregation": "mean", + "higher_is_better": true + } + ], + "output_type": "multiple_choice", + "repeats": 1, + "should_decontaminate": true, + "doc_to_decontamination_query": "sentence", + "metadata": { + "version": 1 + } + } + }, + "versions": { + "winogrande": "Yaml" + }, + "n-shot": { + "winogrande": 5 + }, + "config": { + "model": "vllm", + "model_args": "pretrained=cognitivecomputations/dolphin-2.2-mistral-7b,tensor_parallel_size=4,dtype=auto,trust_remote_code=True,gpu_memory_utilization=0.8", + "batch_size": "8", + "batch_sizes": [], + "device": null, + "use_cache": null, + "limit": null, + "bootstrap_iters": 100000, + "gen_kwargs": null + }, + "git_hash": "46c79664" + } +]