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lm-evaluation/lm_eval/tasks/aclue/_default_template_yaml

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+group: aclue
+dataset_path: tyouisen/aclue
+test_split: test
+fewshot_split: dev
+fewshot_config:
+  sampler: first_n
+output_type: multiple_choice
+doc_to_text: "{{Question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案："
+doc_to_choice: ["A", "B", "C", "D"]
+doc_to_target: "{{['A', 'B', 'C', 'D'].index(Answer)}}"
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm-evaluation/lm_eval/tasks/aclue/_generate_configs.py

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+"""
+Take in a YAML, and output all other splits with this YAML
+"""
+import argparse
+import os
+
+import yaml
+from tqdm import tqdm
+
+from lm_eval.utils import eval_logger
+
+
+SUBJECTS = {
+    "古文单字多义": "polysemy_resolution",
+    "诗词情感分类": "poetry_sentiment_analysis",
+    "古汉语命名体识别": "named_entity_recognition",
+    "古汉语知识": "basic_ancient_chinese",
+    "古诗词上下句预测": "poetry_context_prediction",
+    "古文断句": "sentence_segmentation",
+    "对联": "couplet_prediction",
+    "古诗词曲鉴赏": "poetry_appreciate",
+    "国学常识": "ancient_chinese_culture",
+    "古音学": "ancient_phonetics",
+    "通假字": "homographic_character_resolution",
+    "古代文学知识": "ancient_literature",
+    "医古文": "ancient_medical",
+    "古诗词质量评估": "poetry_quality_assessment",
+    "古文阅读理解": "reading_comprehension",
+}
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--base_yaml_path", required=True)
+    parser.add_argument("--save_prefix_path", default="aclue")
+    parser.add_argument("--cot_prompt_path", default=None)
+    parser.add_argument("--task_prefix", default="")
+    return parser.parse_args()
+
+
+if __name__ == "__main__":
+    args = parse_args()
+
+    # get filename of base_yaml so we can `"include": ` it in our other YAMLs.
+    base_yaml_name = os.path.split(args.base_yaml_path)[-1]
+    with open(args.base_yaml_path, encoding="utf-8") as f:
+        base_yaml = yaml.full_load(f)
+
+    if args.cot_prompt_path is not None:
+        import json
+
+        with open(args.cot_prompt_path, encoding="utf-8") as f:
+            cot_file = json.load(f)
+
+    for subject_zh, subject_eng in tqdm(SUBJECTS.items()):
+        if args.cot_prompt_path is not None:
+            description = cot_file[subject_eng]
+        else:
+            description = (
+                f"以下是关于{subject_zh}的单项选择题，请直接给出正确答案的选项。\n\n"
+            )
+
+        yaml_dict = {
+            "include": base_yaml_name,
+            "task": f"aclue_{args.task_prefix}_{subject_eng}"
+            if args.task_prefix != ""
+            else f"aclue_{subject_eng}",
+            "dataset_name": subject_eng,
+            "description": description,
+        }
+
+        file_save_path = args.save_prefix_path + f"_{subject_eng}.yaml"
+        eval_logger.info(f"Saving yaml for subset {subject_eng} to {file_save_path}")
+        with open(file_save_path, "w", encoding="utf-8") as yaml_file:
+            yaml.dump(
+                yaml_dict,
+                yaml_file,
+                width=float("inf"),
+                allow_unicode=True,
+                default_style='"',
+            )

lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_chinese_culture.yaml

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+"dataset_name": "ancient_chinese_culture"
+"description": "以下是关于国学常识的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_ancient_chinese_culture"

lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_literature.yaml

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+"dataset_name": "ancient_literature"
+"description": "以下是关于古代文学知识的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_ancient_literature"

lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_phonetics.yaml

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+"dataset_name": "ancient_phonetics"
+"description": "以下是关于古音学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_ancient_phonetics"

lm-evaluation/lm_eval/tasks/aclue/aclue_basic_ancient_chinese.yaml

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+"dataset_name": "basic_ancient_chinese"
+"description": "以下是关于古汉语知识的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_basic_ancient_chinese"

lm-evaluation/lm_eval/tasks/aclue/aclue_couplet_prediction.yaml

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+"dataset_name": "couplet_prediction"
+"description": "以下是关于对联的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_couplet_prediction"

lm-evaluation/lm_eval/tasks/aclue/aclue_homographic_character_resolution.yaml

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+"dataset_name": "homographic_character_resolution"
+"description": "以下是关于通假字的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_homographic_character_resolution"

lm-evaluation/lm_eval/tasks/aclue/aclue_named_entity_recognition.yaml

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+"dataset_name": "named_entity_recognition"
+"description": "以下是关于古汉语命名体识别的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_named_entity_recognition"

lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_appreciate.yaml

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+"dataset_name": "poetry_appreciate"
+"description": "以下是关于古诗词曲鉴赏的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_poetry_appreciate"

lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_context_prediction.yaml

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+"dataset_name": "poetry_context_prediction"
+"description": "以下是关于古诗词上下句预测的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_poetry_context_prediction"

lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_quality_assessment.yaml

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+"dataset_name": "poetry_quality_assessment"
+"description": "以下是关于古诗词质量评估的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_poetry_quality_assessment"

lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_sentiment_analysis.yaml

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+"dataset_name": "poetry_sentiment_analysis"
+"description": "以下是关于诗词情感分类的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_poetry_sentiment_analysis"

lm-evaluation/lm_eval/tasks/aclue/aclue_reading_comprehension.yaml

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+"dataset_name": "reading_comprehension"
+"description": "以下是关于古文阅读理解的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "aclue_reading_comprehension"

lm-evaluation/lm_eval/tasks/blimp/animate_subject_trans.yaml

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+# Generated by utils.py
+dataset_name: animate_subject_trans
+include: _template_yaml
+task: blimp_animate_subject_trans

lm-evaluation/lm_eval/tasks/blimp/complex_NP_island.yaml

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+# Generated by utils.py
+dataset_name: complex_NP_island
+include: _template_yaml
+task: blimp_complex_NP_island

lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml

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+# Generated by utils.py
+dataset_name: determiner_noun_agreement_with_adj_irregular_1
+include: _template_yaml
+task: blimp_determiner_noun_agreement_with_adj_irregular_1

lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_2.yaml

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+# Generated by utils.py
+dataset_name: determiner_noun_agreement_with_adj_irregular_2
+include: _template_yaml
+task: blimp_determiner_noun_agreement_with_adj_irregular_2

lm-evaluation/lm_eval/tasks/blimp/distractor_agreement_relational_noun.yaml

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+# Generated by utils.py
+dataset_name: distractor_agreement_relational_noun
+include: _template_yaml
+task: blimp_distractor_agreement_relational_noun

lm-evaluation/lm_eval/tasks/blimp/existential_there_subject_raising.yaml

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+# Generated by utils.py
+dataset_name: existential_there_subject_raising
+include: _template_yaml
+task: blimp_existential_there_subject_raising

lm-evaluation/lm_eval/tasks/blimp/irregular_past_participle_verbs.yaml

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+# Generated by utils.py
+dataset_name: irregular_past_participle_verbs
+include: _template_yaml
+task: blimp_irregular_past_participle_verbs

lm-evaluation/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_2.yaml

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+# Generated by utils.py
+dataset_name: irregular_plural_subject_verb_agreement_2
+include: _template_yaml
+task: blimp_irregular_plural_subject_verb_agreement_2

lm-evaluation/lm_eval/tasks/blimp/only_npi_licensor_present.yaml

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+# Generated by utils.py
+dataset_name: only_npi_licensor_present
+include: _template_yaml
+task: blimp_only_npi_licensor_present

lm-evaluation/lm_eval/tasks/blimp/principle_A_case_1.yaml

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+# Generated by utils.py
+dataset_name: principle_A_case_1
+include: _template_yaml
+task: blimp_principle_A_case_1

lm-evaluation/lm_eval/tasks/blimp/principle_A_domain_2.yaml

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+# Generated by utils.py
+dataset_name: principle_A_domain_2
+include: _template_yaml
+task: blimp_principle_A_domain_2

lm-evaluation/lm_eval/tasks/blimp/regular_plural_subject_verb_agreement_1.yaml

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+# Generated by utils.py
+dataset_name: regular_plural_subject_verb_agreement_1
+include: _template_yaml
+task: blimp_regular_plural_subject_verb_agreement_1

lm-evaluation/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml

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+# Generated by utils.py
+dataset_name: sentential_negation_npi_licensor_present
+include: _template_yaml
+task: blimp_sentential_negation_npi_licensor_present

lm-evaluation/lm_eval/tasks/blimp/superlative_quantifiers_1.yaml

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+# Generated by utils.py
+dataset_name: superlative_quantifiers_1
+include: _template_yaml
+task: blimp_superlative_quantifiers_1

lm-evaluation/lm_eval/tasks/blimp/wh_island.yaml

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+# Generated by utils.py
+dataset_name: wh_island
+include: _template_yaml
+task: blimp_wh_island

lm-evaluation/lm_eval/tasks/blimp/wh_questions_object_gap.yaml

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+# Generated by utils.py
+dataset_name: wh_questions_object_gap
+include: _template_yaml
+task: blimp_wh_questions_object_gap

lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap.yaml

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+# Generated by utils.py
+dataset_name: wh_questions_subject_gap
+include: _template_yaml
+task: blimp_wh_questions_subject_gap

lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap_long_distance.yaml

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+# Generated by utils.py
+dataset_name: wh_questions_subject_gap_long_distance
+include: _template_yaml
+task: blimp_wh_questions_subject_gap_long_distance

lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_no_gap_long_distance.yaml

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+# Generated by utils.py
+dataset_name: wh_vs_that_no_gap_long_distance
+include: _template_yaml
+task: blimp_wh_vs_that_no_gap_long_distance

lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_with_gap.yaml

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+# Generated by utils.py
+dataset_name: wh_vs_that_with_gap
+include: _template_yaml
+task: blimp_wh_vs_that_with_gap

lm-evaluation/lm_eval/tasks/cmmlu/README.md

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+# CMMLU
+
+### Paper
+
+CMMLU: Measuring massive multitask language understanding in Chinese
+https://arxiv.org/abs/2306.09212
+
+CMMLU is a comprehensive evaluation benchmark specifically designed to evaluate the knowledge and reasoning abilities of LLMs within the context of Chinese language and culture.
+CMMLU covers a wide range of subjects, comprising 67 topics that span from elementary to advanced professional levels.
+
+Homepage: https://github.com/haonan-li/CMMLU
+
+### Citation
+
+```bibtex
+@misc{li2023cmmlu,
+      title={CMMLU: Measuring massive multitask language understanding in Chinese},
+      author={Haonan Li and Yixuan Zhang and Fajri Koto and Yifei Yang and Hai Zhao and Yeyun Gong and Nan Duan and Timothy Baldwin},
+      year={2023},
+      eprint={2306.09212},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+- `cmmlu`: All 67 subjects of the CMMLU dataset, evaluated following the methodology in MMLU's original implementation.
+
+#### Tasks
+
+
+The following tasks evaluate subjects in the CMMLU dataset using loglikelihood-based multiple-choice scoring:
+- `cmmlu_{subject_english}`
+
+### Checklist
+
+* [x] Is the task an existing benchmark in the literature?
+  * [x] Have you referenced the original paper that introduced the task?
+  * [x] If yes, does the original paper provide a reference implementation?
+    * [x] Yes, original implementation contributed by author of the benchmark
+
+If other tasks on this dataset are already supported:
+* [x] Is the "Main" variant of this task clearly denoted?
+* [x] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [x] Have you noted which, if any, published evaluation setups are matched by this variant?

lm-evaluation/lm_eval/tasks/cmmlu/_default_template_yaml

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+group: cmmlu
+dataset_path: haonan-li/cmmlu
+test_split: test
+fewshot_split: dev
+fewshot_config:
+  sampler: first_n
+output_type: multiple_choice
+doc_to_text: "{{Question.strip()}}\nA. {{A}}\nB. {{B}}\nC. {{C}}\nD. {{D}}\n答案："
+doc_to_choice: ["A", "B", "C", "D"]
+doc_to_target: "{{['A', 'B', 'C', 'D'].index(Answer)}}"
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 0.0

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_agronomy.yaml

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+"dataset_name": "agronomy"
+"description": "以下是关于农学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_agronomy"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_ancient_chinese.yaml

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+"dataset_name": "ancient_chinese"
+"description": "以下是关于古汉语的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_ancient_chinese"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_driving_rule.yaml

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+"dataset_name": "chinese_driving_rule"
+"description": "以下是关于中国驾驶规则的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_chinese_driving_rule"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_food_culture.yaml

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+"dataset_name": "chinese_food_culture"
+"description": "以下是关于中国饮食文化的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_chinese_food_culture"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_foreign_policy.yaml

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+"dataset_name": "chinese_foreign_policy"
+"description": "以下是关于中国外交政策的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_chinese_foreign_policy"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_history.yaml

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+"dataset_name": "chinese_history"
+"description": "以下是关于中国历史的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_chinese_history"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_teacher_qualification.yaml

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+"dataset_name": "chinese_teacher_qualification"
+"description": "以下是关于中国教师资格的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_chinese_teacher_qualification"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_clinical_knowledge.yaml

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+"dataset_name": "clinical_knowledge"
+"description": "以下是关于临床知识的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_clinical_knowledge"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_education.yaml

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+"dataset_name": "college_education"
+"description": "以下是关于大学教育学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_college_education"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_engineering_hydrology.yaml

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+"dataset_name": "college_engineering_hydrology"
+"description": "以下是关于大学工程水文学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_college_engineering_hydrology"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_medicine.yaml

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+"dataset_name": "college_medicine"
+"description": "以下是关于大学医学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_college_medicine"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_computer_security.yaml

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+"dataset_name": "computer_security"
+"description": "以下是关于计算机安全的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_computer_security"

lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_construction_project_management.yaml

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+"dataset_name": "construction_project_management"
+"description": "以下是关于建设工程管理的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_construction_project_management"