diff --git a/lm-evaluation/lm_eval/tasks/__pycache__/__init__.cpython-310.pyc b/lm-evaluation/lm_eval/tasks/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..90ef5fd62a86982f371a5cd4139ebe10d2f34eea
Binary files /dev/null and b/lm-evaluation/lm_eval/tasks/__pycache__/__init__.cpython-310.pyc differ
diff --git a/lm-evaluation/lm_eval/tasks/aclue/_default_template_yaml b/lm-evaluation/lm_eval/tasks/aclue/_default_template_yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d93ce382d57e8a449868deb79ab544551f7e605b
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/_default_template_yaml
@@ -0,0 +1,19 @@
+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
diff --git a/lm-evaluation/lm_eval/tasks/aclue/_generate_configs.py b/lm-evaluation/lm_eval/tasks/aclue/_generate_configs.py
new file mode 100644
index 0000000000000000000000000000000000000000..182ac51b98f17181a35afccbc887338304216d33
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/_generate_configs.py
@@ -0,0 +1,81 @@
+"""
+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='"',
+            )
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_chinese_culture.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_chinese_culture.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c9f52077dedd24ce500247a4b606eea83fac6320
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_chinese_culture.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_literature.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_literature.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..641befa3aa1920d8dca1c7007a4fe8cd24ab8e77
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_literature.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_phonetics.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_phonetics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2fe908e531a07466a66f58f2f5009d5111d5a02d
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_ancient_phonetics.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_basic_ancient_chinese.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_basic_ancient_chinese.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5afb88be88b8778fde06cff3a2084bce14397174
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_basic_ancient_chinese.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_couplet_prediction.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_couplet_prediction.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..63124eed8eb2c2987e7145ee4633e010407641be
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_couplet_prediction.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_homographic_character_resolution.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_homographic_character_resolution.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7d50e35d5f31badfc13b1815fffa487b3fc64c82
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_homographic_character_resolution.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_named_entity_recognition.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_named_entity_recognition.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..566e93019b994528bb003f46fb458ed725ef8af1
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_named_entity_recognition.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_appreciate.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_appreciate.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4642992674a1f159fe101859dead4509df6c8166
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_appreciate.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_context_prediction.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_context_prediction.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1b408b659657b4677e056f93c59f2a59ef60cb95
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_context_prediction.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_quality_assessment.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_quality_assessment.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a7a7bee2c4ca59e0dc7b2f3fdc08371a9a585d42
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_quality_assessment.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_sentiment_analysis.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_sentiment_analysis.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6e1367f8043d7e1e9ebcd01dfbaacfbdeb0f9fec
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_poetry_sentiment_analysis.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/aclue/aclue_reading_comprehension.yaml b/lm-evaluation/lm_eval/tasks/aclue/aclue_reading_comprehension.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..92f2455d8089bcc3b7d1ff8b99c03144b5b7d61d
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/aclue/aclue_reading_comprehension.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/blimp/animate_subject_trans.yaml b/lm-evaluation/lm_eval/tasks/blimp/animate_subject_trans.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d15eb2c77d454ae8e2791cac85601a803f4bd785
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/animate_subject_trans.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: animate_subject_trans
+include: _template_yaml
+task: blimp_animate_subject_trans
diff --git a/lm-evaluation/lm_eval/tasks/blimp/complex_NP_island.yaml b/lm-evaluation/lm_eval/tasks/blimp/complex_NP_island.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f4ccfe41fa0e6e5d3b8d5b46d6f2edaac60606f9
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/complex_NP_island.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: complex_NP_island
+include: _template_yaml
+task: blimp_complex_NP_island
diff --git a/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml b/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..57f12ecade63b595378cb2c9aadf710725e9d4b0
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml
@@ -0,0 +1,4 @@
+# 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
diff --git a/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_2.yaml b/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6df0e7d52df67c979fb74a440a113addb0c434bf
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_2.yaml
@@ -0,0 +1,4 @@
+# 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
diff --git a/lm-evaluation/lm_eval/tasks/blimp/distractor_agreement_relational_noun.yaml b/lm-evaluation/lm_eval/tasks/blimp/distractor_agreement_relational_noun.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..16e3c0217ee09d554edbe8210ff6c78375d267a4
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/distractor_agreement_relational_noun.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: distractor_agreement_relational_noun
+include: _template_yaml
+task: blimp_distractor_agreement_relational_noun
diff --git a/lm-evaluation/lm_eval/tasks/blimp/existential_there_subject_raising.yaml b/lm-evaluation/lm_eval/tasks/blimp/existential_there_subject_raising.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..45e18aebb660ed759099230686c0e1ae24ea3f86
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/existential_there_subject_raising.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: existential_there_subject_raising
+include: _template_yaml
+task: blimp_existential_there_subject_raising
diff --git a/lm-evaluation/lm_eval/tasks/blimp/irregular_past_participle_verbs.yaml b/lm-evaluation/lm_eval/tasks/blimp/irregular_past_participle_verbs.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..906fb347710e46c3159aaee05def45730b30929f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/irregular_past_participle_verbs.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: irregular_past_participle_verbs
+include: _template_yaml
+task: blimp_irregular_past_participle_verbs
diff --git a/lm-evaluation/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_2.yaml b/lm-evaluation/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..5d3b84fceab0e3907ab6b1bd3e44a0e6c9445416
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_2.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: irregular_plural_subject_verb_agreement_2
+include: _template_yaml
+task: blimp_irregular_plural_subject_verb_agreement_2
diff --git a/lm-evaluation/lm_eval/tasks/blimp/only_npi_licensor_present.yaml b/lm-evaluation/lm_eval/tasks/blimp/only_npi_licensor_present.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8dbce62337d39d44aed2f0f14cfd51dec367a42c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/only_npi_licensor_present.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: only_npi_licensor_present
+include: _template_yaml
+task: blimp_only_npi_licensor_present
diff --git a/lm-evaluation/lm_eval/tasks/blimp/principle_A_case_1.yaml b/lm-evaluation/lm_eval/tasks/blimp/principle_A_case_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..552f8a1e2423a6a4b7c1ea6a57b10f15fdbdbd1d
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/principle_A_case_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: principle_A_case_1
+include: _template_yaml
+task: blimp_principle_A_case_1
diff --git a/lm-evaluation/lm_eval/tasks/blimp/principle_A_domain_2.yaml b/lm-evaluation/lm_eval/tasks/blimp/principle_A_domain_2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ec3be9a64d0bb5a408a905ed1b72c0b3eaf603c9
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/principle_A_domain_2.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: principle_A_domain_2
+include: _template_yaml
+task: blimp_principle_A_domain_2
diff --git a/lm-evaluation/lm_eval/tasks/blimp/regular_plural_subject_verb_agreement_1.yaml b/lm-evaluation/lm_eval/tasks/blimp/regular_plural_subject_verb_agreement_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2d4df1f7216513f772006c5742917f692e827d59
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/regular_plural_subject_verb_agreement_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: regular_plural_subject_verb_agreement_1
+include: _template_yaml
+task: blimp_regular_plural_subject_verb_agreement_1
diff --git a/lm-evaluation/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml b/lm-evaluation/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..df607e5c79e02ef8b284ce2b458ba5371951fc89
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: sentential_negation_npi_licensor_present
+include: _template_yaml
+task: blimp_sentential_negation_npi_licensor_present
diff --git a/lm-evaluation/lm_eval/tasks/blimp/superlative_quantifiers_1.yaml b/lm-evaluation/lm_eval/tasks/blimp/superlative_quantifiers_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c3cf8bfc238feb272c290621c9d55772cb6f5dc4
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/superlative_quantifiers_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: superlative_quantifiers_1
+include: _template_yaml
+task: blimp_superlative_quantifiers_1
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_island.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_island.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4b665096a09297695eb40f791faeb81b7d9b7f56
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_island.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_island
+include: _template_yaml
+task: blimp_wh_island
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_questions_object_gap.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_object_gap.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cb78e7b917573f4c8be60508f454a9ddd6e2b668
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_object_gap.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_questions_object_gap
+include: _template_yaml
+task: blimp_wh_questions_object_gap
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b956919c455893a0282a7d3842fc57eefe624114
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_questions_subject_gap
+include: _template_yaml
+task: blimp_wh_questions_subject_gap
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap_long_distance.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap_long_distance.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..34c3e5cf7f141db947d42b945262de6849700d3c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_questions_subject_gap_long_distance.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_questions_subject_gap_long_distance
+include: _template_yaml
+task: blimp_wh_questions_subject_gap_long_distance
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_no_gap_long_distance.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_no_gap_long_distance.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4804f67ae82cb4a5af702d80eeded6bd6aacd54f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_no_gap_long_distance.yaml
@@ -0,0 +1,4 @@
+# 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
diff --git a/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_with_gap.yaml b/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_with_gap.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ca5af7a576a5ad6f15544cb748f857a549d90295
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/blimp/wh_vs_that_with_gap.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_vs_that_with_gap
+include: _template_yaml
+task: blimp_wh_vs_that_with_gap
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/README.md b/lm-evaluation/lm_eval/tasks/cmmlu/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..7690c205c45e0c425acb025940097f10ad181c73
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/README.md
@@ -0,0 +1,48 @@
+# 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?
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/_default_template_yaml b/lm-evaluation/lm_eval/tasks/cmmlu/_default_template_yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d2e0a8876c6963ff17f8da6bef14063d3b0d92a4
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/_default_template_yaml
@@ -0,0 +1,19 @@
+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
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_agronomy.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_agronomy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..034ce661d6e72e35fdef2b7cddb94d00d7aec0ef
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_agronomy.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_ancient_chinese.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_ancient_chinese.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2099e0a12de41328eed39ebafb5ec940ee4aac5a
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_ancient_chinese.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_driving_rule.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_driving_rule.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2dce17c0f0c1f9a99aff32ee633eab90026e823f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_driving_rule.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_food_culture.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_food_culture.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..52400c56bc4b6e39af23137c179f53102b7009a6
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_food_culture.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_foreign_policy.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_foreign_policy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bbb34a96a36cf9db8f68fe7047b2c81260afdd6f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_foreign_policy.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_history.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_history.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..26fe1db5ac3039018f02bfa55e118cbba1db4ed8
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_history.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_teacher_qualification.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_teacher_qualification.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..226e98a92e435abefc82c34fad8755c80ea42448
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_chinese_teacher_qualification.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_clinical_knowledge.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_clinical_knowledge.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6ed36425f2c3b866e62e0ac9b38dd0aeab118916
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_clinical_knowledge.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_education.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_education.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..952f351cb005d300becc2f5e3b7d5b8579b979a5
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_education.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_engineering_hydrology.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_engineering_hydrology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d52288a4d96e3eee909a7f33c845ba2fa9590aba
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_engineering_hydrology.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_medicine.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_medicine.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dff0d7860fee5dbd289ffaf2d61215fc1c79707b
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_college_medicine.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_computer_security.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_computer_security.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9471546184de5dde5edeb8031a64e588c7594f8f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_computer_security.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_construction_project_management.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_construction_project_management.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..86265b0804a30e1d2352ff79bcaaa8de3c15316f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_construction_project_management.yaml
@@ -0,0 +1,4 @@
+"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"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_economics.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_economics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4602efb430d49e3a876b7243c4cfffe506094b34
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_economics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "economics"
+"description": "以下是关于经济学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_economics"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_electrical_engineering.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_electrical_engineering.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2bb920b53ab8856d717fea8e07e87077ec3b3f71
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_electrical_engineering.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "electrical_engineering"
+"description": "以下是关于电气工程的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_electrical_engineering"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_elementary_mathematics.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_elementary_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f702312ca07c2b882d17c88d30dbe87a837ce5c6
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_elementary_mathematics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "elementary_mathematics"
+"description": "以下是关于初等数学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_elementary_mathematics"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_genetics.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_genetics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..be57628b6f0d3dd2bc6719e08f9aaddb45ac7fa2
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_genetics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "genetics"
+"description": "以下是关于遗传学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_genetics"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_chemistry.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_chemistry.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..34e99ea0f47b7017206bd6e9078ca7a5c2b25f0e
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_chemistry.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_chemistry"
+"description": "以下是关于高中化学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_high_school_chemistry"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_geography.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_geography.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c73ebe9171df9e9f0fbdf2fecddb251e56884702
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_geography.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_geography"
+"description": "以下是关于高中地理的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_high_school_geography"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_mathematics.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3598501c1763d5f1c19444e1b18bb242149fdd34
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_high_school_mathematics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_mathematics"
+"description": "以下是关于高中数学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_high_school_mathematics"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_international_law.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_international_law.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..32112d3c8b6ee26ee786439053c2d1f1da5b04c2
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_international_law.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "international_law"
+"description": "以下是关于国际法学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_international_law"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_jurisprudence.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_jurisprudence.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ab40da40bafeb56459ae462b795be8c8584fb02a
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_jurisprudence.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "jurisprudence"
+"description": "以下是关于法理学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_jurisprudence"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marketing.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marketing.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a729641f9059060ec9abadeac611cf3e74528165
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marketing.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "marketing"
+"description": "以下是关于市场营销的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_marketing"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marxist_theory.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marxist_theory.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f99fa17514a10e8bf587b50ae9dd997b80c00225
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_marxist_theory.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "marxist_theory"
+"description": "以下是关于马克思主义理论的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_marxist_theory"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_nutrition.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_nutrition.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..23d52c45e07134b2ff4f7c1a8e55ba19acfbcfd9
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_nutrition.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "nutrition"
+"description": "以下是关于营养学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_nutrition"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_philosophy.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_philosophy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17340fa490f0350e6e532b2c67f8c81fa63bfb3a
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_philosophy.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "philosophy"
+"description": "以下是关于哲学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_philosophy"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_accounting.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_accounting.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bed3485d787d921fb25bbbfbad7671118acfc42b
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_accounting.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_accounting"
+"description": "以下是关于专业会计的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_professional_accounting"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_law.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_law.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dec4c6cf1d7b095fab8fb293b9cf7600765f24db
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_law.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_law"
+"description": "以下是关于专业法学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_professional_law"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_psychology.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_psychology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..83f0255591a17711d6ac99cf164a29ffe2a69866
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_professional_psychology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_psychology"
+"description": "以下是关于专业心理学的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_professional_psychology"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_public_relations.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_public_relations.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a1c3711ef7734df27852065cf894f9c9cff9d776
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_public_relations.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "public_relations"
+"description": "以下是关于公共关系的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_public_relations"
diff --git a/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_traditional_chinese_medicine.yaml b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_traditional_chinese_medicine.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ed4627deefd6a9a1737cc700604b940b31635cf8
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/cmmlu/cmmlu_default_traditional_chinese_medicine.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "traditional_chinese_medicine"
+"description": "以下是关于中医中药的单项选择题，请直接给出正确答案的选项。\n\n"
+"include": "_default_template_yaml"
+"task": "cmmlu_traditional_chinese_medicine"
diff --git a/lm-evaluation/lm_eval/tasks/drop/README.md b/lm-evaluation/lm_eval/tasks/drop/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..6b7fc47b7165034bd74c524048f5f54ea8d041cf
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/drop/README.md
@@ -0,0 +1,53 @@
+# DROP
+
+### Paper
+
+Title: `DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs`
+
+Abstract: https://aclanthology.org/attachments/N19-1246.Supplementary.pdf
+
+DROP is a QA dataset which tests comprehensive understanding of paragraphs. In
+this crowdsourced, adversarially-created, 96k question-answering benchmark, a
+system must resolve multiple references in a question, map them onto a paragraph,
+and perform discrete operations over them (such as addition, counting, or sorting).
+
+Homepage: https://allenai.org/data/drop
+
+Acknowledgement: This implementation is based on the official evaluation for `DROP`:
+https://github.com/allenai/allennlp-reading-comprehension/blob/master/allennlp_rc/eval/drop_eval.py
+
+### Citation
+
+```
+@misc{dua2019drop,
+    title={DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs},
+    author={Dheeru Dua and Yizhong Wang and Pradeep Dasigi and Gabriel Stanovsky and Sameer Singh and Matt Gardner},
+    year={2019},
+    eprint={1903.00161},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* Not part of a group yet.
+
+#### Tasks
+
+* `drop`
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [ ] Is the task an existing benchmark in the literature?
+  * [ ] Have you referenced the original paper that introduced the task?
+  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+
+If other tasks on this dataset are already supported:
+* [ ] Is the "Main" variant of this task clearly denoted?
+* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
diff --git a/lm-evaluation/lm_eval/tasks/kobest/kobest_sentineg.yaml b/lm-evaluation/lm_eval/tasks/kobest/kobest_sentineg.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..64319dca39c520c7a8f9c4f20f0ae2a9e44b7230
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/kobest/kobest_sentineg.yaml
@@ -0,0 +1,25 @@
+group:
+  - kobest
+task: kobest_sentineg
+dataset_path: skt/kobest_v1
+dataset_name: sentineg
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+test_split: test
+doc_to_text: !function utils.sentineg_doc_to_text
+doc_to_target: "{{label}}"
+doc_to_choice: ["부정", "긍정"]
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: True
+  - metric: f1
+    aggregation: !function utils.macro_f1_score
+    average: macro
+    hf_evaluate: true
+    higher_is_better: True
+metadata:
+  version: 1.0
+dataset_kwargs:
+  trust_remote_code: true
diff --git a/lm-evaluation/lm_eval/tasks/logiqa/README.md b/lm-evaluation/lm_eval/tasks/logiqa/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e9dff3c546f2cf690f1079130a8b9b61db492d78
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/logiqa/README.md
@@ -0,0 +1,52 @@
+# LogiQA
+
+### Paper
+
+Title: `LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning`
+
+Abstract: https://arxiv.org/abs/2007.08124
+
+LogiQA is a dataset for testing human logical reasoning. It consists of 8,678 QA
+instances, covering multiple types of deductive reasoning. Results show that state-
+of-the-art neural models perform by far worse than human ceiling. The dataset can
+also serve as a benchmark for reinvestigating logical AI under the deep learning
+NLP setting.
+
+Homepage: https://github.com/lgw863/LogiQA-dataset
+
+
+### Citation
+
+```
+@misc{liu2020logiqa,
+    title={LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning},
+    author={Jian Liu and Leyang Cui and Hanmeng Liu and Dandan Huang and Yile Wang and Yue Zhang},
+    year={2020},
+    eprint={2007.08124},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* Not part of a group yet
+
+#### Tasks
+
+* `logiqa`
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [ ] Is the task an existing benchmark in the literature?
+  * [ ] Have you referenced the original paper that introduced the task?
+  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+
+If other tasks on this dataset are already supported:
+* [ ] Is the "Main" variant of this task clearly denoted?
+* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
diff --git a/lm-evaluation/lm_eval/tasks/logiqa/logiqa.yaml b/lm-evaluation/lm_eval/tasks/logiqa/logiqa.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3e318b7d16053ff28069b91edddea095c2f0ca36
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/logiqa/logiqa.yaml
@@ -0,0 +1,23 @@
+task: logiqa
+dataset_path: EleutherAI/logiqa
+dataset_name: logiqa
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+test_split: test
+doc_to_choice: "{{options}}"
+doc_to_text: !function utils_logiqa.doc_to_text
+doc_to_target: !function utils_logiqa.doc_to_target
+doc_to_decontamination_query: "{{context}}"
+should_decontaminate: true
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0
+dataset_kwargs:
+  trust_remote_code: true
diff --git a/lm-evaluation/lm_eval/tasks/logiqa/utils_logiqa.py b/lm-evaluation/lm_eval/tasks/logiqa/utils_logiqa.py
new file mode 100644
index 0000000000000000000000000000000000000000..c462db9115f8747097e3af4f4e7a3c5a1165a1bd
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/logiqa/utils_logiqa.py
@@ -0,0 +1,24 @@
+# Copied from Master
+def doc_to_text(doc) -> str:
+    """
+    Passage: <passage>
+    Question: <question>
+    Choices:
+    A. <choice1>
+    B. <choice2>
+    C. <choice3>
+    D. <choice4>
+    Answer:
+    """
+    choices = ["a", "b", "c", "d"]
+    prompt = "Passage: " + doc["context"] + "\n"
+    prompt += "Question: " + doc["question"] + "\nChoices:\n"
+    for choice, option in zip(choices, doc["options"]):
+        prompt += f"{choice.upper()}. {option}\n"
+    prompt += "Answer:"
+    return prompt
+
+
+def doc_to_target(doc) -> int:
+    choices = ["a", "b", "c", "d"]
+    return choices.index(doc["label"].strip())
diff --git a/lm-evaluation/lm_eval/tasks/openbookqa/README.md b/lm-evaluation/lm_eval/tasks/openbookqa/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..34849ac628176dc9fe48bf6239c77a494b97ac3d
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/openbookqa/README.md
@@ -0,0 +1,54 @@
+# OpenBookQA
+
+### Paper
+
+Title: `Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering`
+
+Abstract: https://arxiv.org/abs/1809.02789
+
+OpenBookQA is a question-answering dataset modeled after open book exams for
+assessing human understanding of a subject. It consists of 5,957 multiple-choice
+elementary-level science questions (4,957 train, 500 dev, 500 test), which probe
+the understanding of a small “book” of 1,326 core science facts and the application
+of these facts to novel situations. For training, the dataset includes a mapping
+from each question to the core science fact it was designed to probe. Answering
+OpenBookQA questions requires additional broad common knowledge, not contained
+in the book. The questions, by design, are answered incorrectly by both a retrieval-
+based algorithm and a word co-occurrence algorithm.
+
+Homepage: https://allenai.org/data/open-book-qa
+
+
+### Citation
+
+```
+@inproceedings{OpenBookQA2018,
+    title={Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering},
+    author={Todor Mihaylov and Peter Clark and Tushar Khot and Ashish Sabharwal},
+    booktitle={EMNLP},
+    year={2018}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* Not part of a group yet
+
+#### Tasks
+
+* `openbookqa`
+
+### Checklist
+
+For adding novel benchmarks/datasets to the library:
+* [ ] Is the task an existing benchmark in the literature?
+  * [ ] Have you referenced the original paper that introduced the task?
+  * [ ] If yes, does the original paper provide a reference implementation? If so, have you checked against the reference implementation and documented how to run such a test?
+
+
+If other tasks on this dataset are already supported:
+* [ ] Is the "Main" variant of this task clearly denoted?
+* [ ] Have you provided a short sentence in a README on what each new variant adds / evaluates?
+* [ ] Have you noted which, if any, published evaluation setups are matched by this variant?
diff --git a/lm-evaluation/lm_eval/tasks/openbookqa/openbookqa.yaml b/lm-evaluation/lm_eval/tasks/openbookqa/openbookqa.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bdfcd19635a0d06d6b4190c27d59ce93de0aef80
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/openbookqa/openbookqa.yaml
@@ -0,0 +1,21 @@
+task: openbookqa
+dataset_path: openbookqa
+dataset_name: main
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+test_split: test
+doc_to_text: question_stem
+doc_to_target: "{{choices.label.index(answerKey.lstrip())}}"
+doc_to_choice: "{{choices.text}}"
+should_decontaminate: true
+doc_to_decontamination_query: question_stem
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+  - metric: acc_norm
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0