diff --git a/lm-evaluation/lm_eval/tasks/ammlu/_default_template_yaml b/lm-evaluation/lm_eval/tasks/ammlu/_default_template_yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bbcefffb7889e16d0e9abdc0015149e72b39b029
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/_default_template_yaml
@@ -0,0 +1,19 @@
+group: ammlu
+dataset_path: Hennara/ammlu
+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}}\nالجواب："
+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/ammlu/_generate_configs.py b/lm-evaluation/lm_eval/tasks/ammlu/_generate_configs.py
new file mode 100644
index 0000000000000000000000000000000000000000..5105e94c2608851f223d221b757a4ea560b3087c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/_generate_configs.py
@@ -0,0 +1,119 @@
+"""
+Take in a YAML, and output all other splits with this YAML
+"""
+import argparse
+import os
+
+import yaml
+from tqdm import tqdm
+
+
+SUBJECTS = {
+    "abstract_algebra": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "anatomy": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "astronomy": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "business_ethics": "علوم أخرى",
+    "clinical_knowledge": "علوم أخرى",
+    "college_biology": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "college_chemistry": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "college_computer_science": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "college_mathematics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "college_medicine": "علوم أخرى",
+    "college_physics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "computer_security": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "conceptual_physics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "econometrics": "العلوم الإجتماعية",
+    "electrical_engineering": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "elementary_mathematics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "formal_logic": "العلوم الانسانية",
+    "global_facts": "علوم أخرى",
+    "high_school_biology": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_chemistry": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_computer_science": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_european_history": "العلوم الانسانية",
+    "high_school_geography": "العلوم الإجتماعية",
+    "high_school_government_and_politics": "العلوم الإجتماعية",
+    "high_school_macroeconomics": "العلوم الإجتماعية",
+    "high_school_mathematics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_microeconomics": "العلوم الإجتماعية",
+    "high_school_physics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_psychology": "العلوم الإجتماعية",
+    "high_school_statistics": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "high_school_us_history": "العلوم الانسانية",
+    "high_school_world_history": "العلوم الانسانية",
+    "human_aging": "علوم أخرى",
+    "human_sexuality": "العلوم الإجتماعية",
+    "international_law": "العلوم الانسانية",
+    "jurisprudence": "العلوم الانسانية",
+    "logical_fallacies": "العلوم الانسانية",
+    "machine_learning": "ألعلوم وتقنية المعلومات و الرياضيات",
+    "management": "علوم أخرى",
+    "marketing": "علوم أخرى",
+    "medical_genetics": "علوم أخرى",
+    "miscellaneous": "علوم أخرى",
+    "moral_disputes": "العلوم الانسانية",
+    "moral_scenarios": "العلوم الانسانية",
+    "nutrition": "علوم أخرى",
+    "philosophy": "العلوم الانسانية",
+    "prehistory": "العلوم الانسانية",
+    "professional_accounting": "علوم أخرى",
+    "professional_law": "العلوم الانسانية",
+    "professional_medicine": "علوم أخرى",
+    "professional_psychology": "العلوم الإجتماعية",
+    "public_relations": "العلوم الإجتماعية",
+    "security_studies": "العلوم الإجتماعية",
+    "sociology": "العلوم الإجتماعية",
+    "us_foreign_policy": "العلوم الإجتماعية",
+    "virology": "علوم أخرى",
+    "world_religions": "العلوم الانسانية",
+}
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--base_yaml_path", required=True)
+    parser.add_argument("--save_prefix_path", default="ammlu")
+    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_eng, category in tqdm(SUBJECTS.items()):
+        if args.cot_prompt_path is not None:
+            description = cot_file[subject_eng]
+        else:
+            description = f"فم بعملية التقييم في مجال {category} \n\n"
+
+        yaml_dict = {
+            "include": base_yaml_name,
+            "task": f"ammlu_{args.task_prefix}_{subject_eng}"
+            if args.task_prefix != ""
+            else f"ammlu_{subject_eng}",
+            "dataset_name": subject_eng,
+            "description": description,
+        }
+
+        file_save_path = args.save_prefix_path + f"_{subject_eng}.yaml"
+        print(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/ammlu/ammlu_anatomy.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_anatomy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0ea332903d86f6f76e4e43718d6f8ef4b1f887ea
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_anatomy.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "anatomy"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_anatomy"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_astronomy.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_astronomy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..33e4d3e76f0808549fdae2e088c27dbef14c6035
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_astronomy.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "astronomy"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_astronomy"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f86b317a22deca40e17043fe5ddf1823b15873cb
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "business_ethics"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_business_ethics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_biology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_biology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0040902b6b40420777c1cfa3ea43f9e693745fb9
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_biology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_biology"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_biology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_chemistry.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_chemistry.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d89e5d36d6c3e81b67cee20af8adaa64cdb69769
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_chemistry.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_chemistry"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_chemistry"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_computer_science.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_computer_science.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bd24ec782052fbdb2a18c6b271d7db7fd1eb0c21
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_computer_science.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_computer_science"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_computer_science"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..20ed05afe21d5256169d05a658b9a34bbbf9f830
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_medicine"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_medicine"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_physics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a66b42a3fff3442e5aceb1a75e3f6472e63ad3b7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_college_physics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_physics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_physics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_computer_security.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_computer_security.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f6d0edec21fe23c1f38f17a80990f9af70779759
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_computer_security.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "computer_security"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_computer_security"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1d8b329adfbbb86221fbd7d467b691dfee67bb2c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "conceptual_physics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_conceptual_physics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_econometrics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_econometrics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2ce1c23a555fb89e654430ed481199450204dd49
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_econometrics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "econometrics"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_econometrics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_elementary_mathematics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_elementary_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..afb9144da92bdc592e66f96133c538eb0c1829ef
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_elementary_mathematics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "elementary_mathematics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_elementary_mathematics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8b20a85896bf52fb16e7536b46174f2671240224
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "formal_logic"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_formal_logic"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_global_facts.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_global_facts.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8236238279cf72b117256b5faefc07ca6de6c3a3
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_global_facts.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "global_facts"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_global_facts"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..16bc3ab6b0b156367714db4b3f892517edaf35f3
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_biology"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_biology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3f2e675e4c80caad0aa387b6445d27e0ed4c95a7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_chemistry"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_chemistry"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d6ab8409eb6648d80adca19929907f10b1f7c65e
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_computer_science"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_computer_science"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f22a5991753c71b8147ee368e771faf600b86693
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_european_history"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_european_history"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_government_and_politics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_government_and_politics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..88fe999fa3913051d3d43c3d8bbc7739d5567ff5
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_government_and_politics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_government_and_politics"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_government_and_politics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_macroeconomics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_macroeconomics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..68e07427671753790b7602c3f7b25cab3f1ed354
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_macroeconomics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_macroeconomics"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_macroeconomics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_mathematics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17705ea14ab459635b2ff8ed4a7075a9912b27cd
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_mathematics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_mathematics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_mathematics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_microeconomics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_microeconomics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1e74936e3133978eb348e3509214fe395dc8da20
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_microeconomics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_microeconomics"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_microeconomics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_physics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..368a384f7ed466b08cd96544dcf678570ca49be7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_physics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_physics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_physics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..224026225b85f638ae70afa46a55ee71e3fa082e
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_psychology"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_psychology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..49c97a7358b40dd5b4b8215a3cdd4eba58805c84
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_statistics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_statistics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d97b76f8434566ef32e7c925c839fe698e62b202
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "human_sexuality"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_human_sexuality"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_international_law.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_international_law.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..46660c50894a3677529b536681f9ba3d82447229
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_international_law.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "international_law"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_international_law"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..97f34f0fa4402e88fa496b441e579f6c3f123737
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "jurisprudence"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_jurisprudence"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_logical_fallacies.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_logical_fallacies.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..594501a443277599336b34b9b5af0bd3877b3e5c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_logical_fallacies.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "logical_fallacies"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_logical_fallacies"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_management.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_management.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..36780c08a5737939af46b1e9c34909c23e10f49c
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_management.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "management"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_management"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_marketing.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_marketing.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1a7cf1f1a8bb258316d929d8dcdfc69d2ed4afe7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_marketing.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "marketing"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_marketing"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_medical_genetics.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_medical_genetics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..88c56754e2ca7d97312d975119467606d577b0db
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_medical_genetics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "medical_genetics"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_medical_genetics"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b81c28b3e761fb842a1301d592977cdac57fcefd
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "miscellaneous"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_miscellaneous"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_moral_disputes.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_moral_disputes.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a01ffb2c4a29fd8bbf87edd08937ea7801681a56
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_moral_disputes.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "moral_disputes"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_moral_disputes"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_nutrition.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_nutrition.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6e2c10a4108d0575656a0729170579182325b032
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_nutrition.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "nutrition"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_nutrition"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_accounting.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_accounting.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ea4e68c93d418d4de3062bb3e7408d087916daf8
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_accounting.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_accounting"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_professional_accounting"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_psychology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_psychology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..65a721c92aeaaea67666c168dc9b1151e23ebab3
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_professional_psychology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_psychology"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_professional_psychology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_sociology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_sociology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bf92339270aac89ecf7a3acd29d217c4cdd31414
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_sociology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "sociology"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_sociology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_us_foreign_policy.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_us_foreign_policy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6f934dab9b7b7215afc9e35fb8c04e2264ab8364
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_us_foreign_policy.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "us_foreign_policy"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_us_foreign_policy"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_virology.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_virology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f2b0ad6e42b9acdfcf3040baa73e2a155faaa4e7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_virology.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "virology"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_virology"
diff --git a/lm-evaluation/lm_eval/tasks/ammlu/ammlu_world_religions.yaml b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_world_religions.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dc433e13d9da096bc16b3e64c1138bedc04b4813
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/ammlu/ammlu_world_religions.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "world_religions"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_world_religions"
diff --git a/lm-evaluation/lm_eval/tasks/benchmarks/flan/flan_held_out.yaml b/lm-evaluation/lm_eval/tasks/benchmarks/flan/flan_held_out.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..cf806b882167dacc83e3baab67fe69d293de6ddc
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/benchmarks/flan/flan_held_out.yaml
@@ -0,0 +1,13 @@
+group: flan_held_out
+task:
+  # BBH
+  - bbh_zeroshot
+  - bbh_fewshot
+  - bbh_cot_fewshot
+  - bbh_cot_zeroshot
+  # MMLU
+  - mmlu
+  - mmlu_flan_n_shot_generative
+  - mmlu_flan_n_shot_loglikelihood
+  - mmlu_flan_cot_zeroshot
+  - mmlu_flan_cot_fewshot
diff --git a/lm-evaluation/lm_eval/tasks/benchmarks/minerva_math.yaml b/lm-evaluation/lm_eval/tasks/benchmarks/minerva_math.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6df3203e10fddd06bd2edcfb97984c12a32466be
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/benchmarks/minerva_math.yaml
@@ -0,0 +1,9 @@
+group: minerva_math
+task:
+  - minerva_math_algebra
+  - minerva_math_counting_and_prob
+  - minerva_math_geometry
+  - minerva_math_intermediate_algebra
+  - minerva_math_num_theory
+  - minerva_math_prealgebra
+  - minerva_math_precalc
diff --git a/lm-evaluation/lm_eval/tasks/benchmarks/openllm.yaml b/lm-evaluation/lm_eval/tasks/benchmarks/openllm.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0296a0a548e1206f70627b4176d79aab7438db75
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/benchmarks/openllm.yaml
@@ -0,0 +1,18 @@
+group: openllm
+group_alias: Open LLM Leaderboard
+task:
+  - task: arc_challenge
+    fewshot_split: validation
+    num_fewshot: 25
+  - task: hellaswag
+    fewshot_split: train
+    num_fewshot: 10
+  - task: truthfulqa
+    num_fewshot: 0
+  - task: mmlu
+    num_fewshot: 5
+  - task: winogrande
+    fewshot_split: train
+    num_fewshot: 5
+  - task: gsm8k
+    num_fewshot: 5
diff --git a/lm-evaluation/lm_eval/tasks/benchmarks/pythia.yaml b/lm-evaluation/lm_eval/tasks/benchmarks/pythia.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bdeadd3ce995ce3d4d9340082ede3bf424ba276d
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/benchmarks/pythia.yaml
@@ -0,0 +1,12 @@
+group: pythia
+task:
+  - lambada_openai
+  - logiqa
+  - piqa
+  - sciq
+  - wikitext
+  - winogrande
+  - wsc
+  - ai2_arc
+  - blimp
+  - mmlu
diff --git a/lm-evaluation/lm_eval/tasks/benchmarks/t0_eval.yaml b/lm-evaluation/lm_eval/tasks/benchmarks/t0_eval.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..27e7adc41bd2eaffa20b3344cfdf83a52b4d65fc
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/benchmarks/t0_eval.yaml
@@ -0,0 +1,127 @@
+group: t0_eval
+task:
+  # Coreference Resolution
+  - dataset_path: super_glue
+    dataset_name: wsc.fixed
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  # Coreference Resolution
+  - dataset_path: winogrande
+    dataset_name: winogrande_xl
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  # Natural Language Inference
+  - dataset_path: super_glue
+    dataset_name: cb
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  - dataset_path: super_glue
+    dataset_name: rte
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  - task: anli_r1
+    dataset_path: anli
+    use_prompt: promptsource:*
+    training_split: train_r1
+    validation_split: dev_r1
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  - task: anli_r2
+    dataset_path: anli
+    use_prompt: promptsource:*
+    training_split: train_r2
+    validation_split: dev_r2
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  - task: anli_r3
+    dataset_path: anli
+    use_prompt: promptsource:*
+    training_split: train_r3
+    validation_split: dev_r3
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  # Sentence Completion
+  - dataset_path: super_glue
+    dataset_name: copa
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  # Natural Language Inference
+  - dataset_path: hellaswag
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
+  # Word Sense Disambiguation
+  - dataset_path: super_glue
+    dataset_name: wic
+    use_prompt: promptsource:*
+    training_split: train
+    validation_split: validation
+    output_type: generate_until
+    metric_list:
+      - metric: exact_match
+        aggregation: mean
+        higher_is_better: true
+        ignore_case: true
+        ignore_punctuation: true
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/go.yaml b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/go.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7b40edc96c4ac87e4889895829a754ea2d9aa0d3
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/go.yaml
@@ -0,0 +1,21 @@
+group:
+  - codexglue_code2text
+task: code2text_go
+dataset_path: CM/codexglue_code2text_go
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/java.yaml b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/java.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..65eb024d0fbc4a052558a938fb29db5058a5bb39
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/java.yaml
@@ -0,0 +1,21 @@
+group:
+  - codexglue_code2text
+task: code2text_java
+dataset_path: CM/codexglue_code2text_java
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/javascript.yaml b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/javascript.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c5b288192b0c88a7a9fda139422204448ebce8ca
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/javascript.yaml
@@ -0,0 +1,21 @@
+group:
+  - codexglue_code2text
+task: code2text_javascript
+dataset_path: CM/codexglue_code2text_javascript
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/php.yaml b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/php.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e368d7daacc98459b40a4bab6634299976a73c45
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/php.yaml
@@ -0,0 +1,21 @@
+group:
+  - codexglue_code2text
+task: code2text_php
+dataset_path: CM/codexglue_code2text_php
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/ruby.yaml b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/ruby.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a89134c626eda6af05399cc1ed931b7b089b5409
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/ruby.yaml
@@ -0,0 +1,21 @@
+group:
+  - codexglue_code2text
+task: code2text_ruby
+dataset_path: CM/codexglue_code2text_ruby
+training_split: train
+validation_split: validation
+test_split: test
+output_type: generate_until
+generation_kwargs:
+  num_beams: 10
+  max_gen_toks: 128
+  until:
+    - "</s>"
+doc_to_text: !function utils.doc_to_text
+doc_to_target: !function utils.doc_to_target
+metric_list:
+  - metric: !function bleu.smoothed_bleu_4
+    aggregation: mean
+    higher_is_better: True
+metadata:
+  version: 3.0
diff --git a/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/utils.py b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..6975684259648ca5d6f71d28d65fef7ad73e0bae
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/code_x_glue/code-text/utils.py
@@ -0,0 +1,12 @@
+def doc_to_text(doc):
+    inputs = " ".join(doc["code_tokens"]).replace("\n", " ")
+    inputs = " ".join(inputs.strip().split())
+
+    return inputs
+
+
+def doc_to_target(doc):
+    targets = " ".join(doc["docstring_tokens"]).replace("\n", "")
+    targets = " ".join(targets.strip().split())
+
+    return targets
diff --git a/lm-evaluation/lm_eval/tasks/lambada_cloze/lambada_openai_cloze.yaml b/lm-evaluation/lm_eval/tasks/lambada_cloze/lambada_openai_cloze.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d25e26d9efd926e79745c251cab1953dde1986bf
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/lambada_cloze/lambada_openai_cloze.yaml
@@ -0,0 +1,20 @@
+group:
+  - lambada_cloze
+task: lambada_openai_cloze_yaml
+dataset_path: EleutherAI/lambada_openai
+dataset_name: default
+output_type: loglikelihood
+test_split: test
+doc_to_text: "{{text.split(' ')[:-1]|join(' ')}} ____. ->"
+doc_to_target: "{{' '+text.split(' ')[-1]}}"
+should_decontaminate: true
+doc_to_decontamination_query: "{{text}}"
+metric_list:
+  - metric: perplexity
+    aggregation: perplexity
+    higher_is_better: false
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/direct/mgsm_direct_te.yaml b/lm-evaluation/lm_eval/tasks/mgsm/direct/mgsm_direct_te.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4abdc7e78ec0ddd597d1ff2210a3474ad397a30a
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/direct/mgsm_direct_te.yaml
@@ -0,0 +1,12 @@
+# Generated by utils.py
+dataset_name: te
+doc_to_target: '{% if answer is not none %}{{answer[19:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nAnswer:"}}{% else %}{{"ప్రశ్న: "+question+"\nAnswer:"}}{% endif %}'
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'ప్రశ్న:'
+  - </s>
+  - <|im_end|>
+include: direct_yaml
+task: mgsm_direct_te
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/cot_yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/cot_yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dbba882225b1d7c9fbe10352c64a381c97a547c7
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/cot_yaml
@@ -0,0 +1,31 @@
+# This file will be included in the generated language-specific task configs.
+# It doesn't have a yaml file extension as it is not meant to be imported directly
+# by the harness.
+group: mgsm_cot_native
+dataset_path: juletxara/mgsm
+dataset_name: null  # Overridden by language-specific config.
+output_type: generate_until
+training_split: train
+test_split: test
+# target_delimiter: ""
+generation_kwargs:
+  until:
+    - "\n\n"
+    - "\n"
+  do_sample: false
+  temperature: 0.0
+target_delimiter: " "
+metric_list:
+  - metric: exact_match
+    aggregation: mean
+    higher_is_better: true
+    ignore_case: true
+    ignore_punctuation: true
+filter_list:
+  - name: "get-answer"
+    filter:
+      - function: "regex"
+        regex_pattern: "The answer is (\\-?[0-9\\.\\,]+)"
+      - function: "take_first"
+metadata:
+  version: 3.0
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_bn.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_bn.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..eb58c8753784c250ce24860fd21211b62ef0cc31
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_bn.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: bn
+doc_to_target: '{% if answer is not none %}{{answer[17:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nধাপে ধাপে উত্তর:"}}{% else %}{{"প্রশ্ন: "+question+"\nধাপে ধাপে উত্তর:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: The answer is (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'প্রশ্ন:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_bn
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_de.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_de.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4f4701796945b74fe884a73d931debdf2c7b5ce9
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_de.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: de
+doc_to_target: '{% if answer is not none %}{{answer[29:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nSchritt-für-Schritt-Antwort:"}}{% else %}{{"Frage: "+question+"\nSchritt-für-Schritt-Antwort:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: Die Antwort lautet (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Frage:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_de
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_en.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_en.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..c2033b335fb51ec1310f98b4e905f18231c1b68a
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_en.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: en
+doc_to_target: '{% if answer is not none %}{{answer[21:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nStep-by-Step Answer:"}}{% else %}{{"Question: "+question+"\nStep-by-Step Answer:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: The answer is (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_en
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_es.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_es.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6c39fb9c4740ac571db8165a80fdd7efa108f56b
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_es.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: es
+doc_to_target: '{% if answer is not none %}{{answer[23:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nRespuesta paso a paso:"}}{% else %}{{"Pregunta: "+question+"\nRespuesta paso a paso:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: La respuesta es (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Pregunta:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_es
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_fr.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_fr.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b52b881f7a3f8b30d64ce8eb8ee6b308673626c2
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_fr.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: fr
+doc_to_target: '{% if answer is not none %}{{answer[26:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nRéponse étape par étape :"}}{% else %}{{"Question : "+question+"\nRéponse étape par étape :"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: La réponse est (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Question :'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_fr
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ja.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ja.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8e56bd0b15150e1e435b4d304255c0a751246e86
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ja.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: ja
+doc_to_target: '{% if answer is not none %}{{answer[11:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nステップごとの答え:"}}{% else %}{{"問題: "+question+"\nステップごとの答え:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: 答えは(\-?[0-9\.\,]+)です。
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - '問題:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_ja
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ru.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ru.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3cff6267a067da1e9d10cfa66aaad7c06618f7ad
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_ru.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: ru
+doc_to_target: '{% if answer is not none %}{{answer[18:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nПошаговоерешение:"}}{% else %}{{"Задача: "+question+"\nПошаговоерешение:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: Ответ — (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Задача:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_ru
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_sw.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_sw.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4da793dbc78485cb8167a6fc069b87f7590c960f
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_sw.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: sw
+doc_to_target: '{% if answer is not none %}{{answer[25:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nJibu la Hatua kwa Hatua:"}}{% else %}{{"Swali: "+question+"\nJibu la Hatua kwa Hatua:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: Jibu ni (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'Swali:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_sw
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_te.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_te.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1cdbaca8893b6ee626084135c7a64ccd02737b81
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_te.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: te
+doc_to_target: '{% if answer is not none %}{{answer[19:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nదశలవారీగా సమాధానం:"}}{% else %}{{"ప్రశ్న: "+question+"\nదశలవారీగా సమాధానం:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: సమాధానం (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'ప్రశ్న:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_te
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_th.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_th.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6931d3a2ff44ab0de25a31a7624f2cd104c655c2
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_th.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: th
+doc_to_target: '{% if answer is not none %}{{answer[18:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\nคำตอบทีละขั้นตอน:"}}{% else %}{{"โจทย์: "+question+"\nคำตอบทีละขั้นตอน:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: คำตอบคือ (\-?[0-9\.\,]+)
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - 'โจทย์:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_th
diff --git a/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_zh.yaml b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_zh.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3f0d7e2dcecaecee05671a636b0a3e27eeeee95e
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/mgsm/native_cot/mgsm_native_cot_zh.yaml
@@ -0,0 +1,24 @@
+# Generated by utils.py
+dataset_name: zh
+doc_to_target: '{% if answer is not none %}{{answer[6:]}}{% else %}{{answer_number|string}}{% endif %}'
+doc_to_text: '{% if answer is not none %}{{question+"\n逐步解答:"}}{% else %}{{"问题: "+question+"\n逐步解答:"}}{% endif %}'
+filter_list:
+- filter:
+  - function: regex
+    regex_pattern: 答案是 (\-?[0-9\.\,]+)。
+  - function: take_first
+  name: strict-match
+- filter:
+  - function: regex
+    group_select: -1
+    regex_pattern: (-?[$0-9.,]{2,})|(-?[0-9]+)
+  - function: take_first
+  name: flexible-extract
+generation_kwargs:
+  do_sample: false
+  until:
+  - '问题:'
+  - </s>
+  - <|im_end|>
+include: cot_yaml
+task: mgsm_native_cot_zh
diff --git a/lm-evaluation/lm_eval/tasks/pubmedqa/README.md b/lm-evaluation/lm_eval/tasks/pubmedqa/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..c738dd2af65eecaee764cbeaf6a74aea308a0547
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/pubmedqa/README.md
@@ -0,0 +1,56 @@
+# PubMedQA
+
+### Paper
+
+Title: `PubMedQA: A Dataset for Biomedical Research Question Answering`
+
+Abstract: https://arxiv.org/abs/1909.06146
+
+PubMedQA is a novel biomedical question answering (QA) dataset collected from
+PubMed abstracts. The task of PubMedQA is to answer research questions with
+yes/no/maybe (e.g.: Do preoperative statins reduce atrial fibrillation after
+coronary artery bypass grafting?) using the corresponding abstracts. PubMedQA
+has 1k expert-annotated, 61.2k unlabeled and 211.3k artificially generated QA
+instances. Each PubMedQA instance is composed of (1) a question which is either
+an existing research article title or derived from one, (2) a context which is
+the corresponding abstract without its conclusion, (3) a long answer, which is
+the conclusion of the abstract and, presumably, answers the research question,
+and (4) a yes/no/maybe answer which summarizes the conclusion.
+
+Homepage: https://pubmedqa.github.io/
+
+
+### Citation
+
+```
+@inproceedings{jin2019pubmedqa,
+    title={PubMedQA: A Dataset for Biomedical Research Question Answering},
+    author={Jin, Qiao and Dhingra, Bhuwan and Liu, Zhengping and Cohen, William and Lu, Xinghua},
+    booktitle={Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)},
+    pages={2567--2577},
+    year={2019}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* Not part of a group yet
+
+#### Tasks
+
+* `pubmed_qa`
+
+### 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/pubmedqa/pubmedqa.yaml b/lm-evaluation/lm_eval/tasks/pubmedqa/pubmedqa.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..47de2fa0980a0a45facbab4416c80373e91e08d5
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/pubmedqa/pubmedqa.yaml
@@ -0,0 +1,16 @@
+task: pubmedqa
+dataset_path: bigbio/pubmed_qa
+dataset_name: pubmed_qa_labeled_fold0_source
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+test_split: test
+doc_to_text: !function preprocess_pubmedqa.doc_to_text
+doc_to_target: final_decision
+doc_to_choice: ["yes", "no", "maybe"]
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/qasper/README.md b/lm-evaluation/lm_eval/tasks/qasper/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..ada111e1ca7b0df493182939960559bdeb96b9f2
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/qasper/README.md
@@ -0,0 +1,63 @@
+# QASPER
+
+### Paper
+
+Title: `A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers`
+
+Abstract: https://arxiv.org/abs/2105.03011
+
+QASPER is a dataset of 5,049 questions over 1,585 Natural Language Processing papers.
+Each question is written by an NLP practitioner who read only the title and abstract
+of the corresponding paper, and the question seeks information present in the full
+text. The questions are then answered by a separate set of NLP practitioners who also
+provide supporting evidence to answers.
+
+Homepage: https://allenai.org/data/qasper
+
+### Citation
+
+```
+@article{DBLP:journals/corr/abs-2105-03011,
+    author    = {Pradeep Dasigi and
+               Kyle Lo and
+               Iz Beltagy and
+               Arman Cohan and
+               Noah A. Smith and
+               Matt Gardner},
+    title     = {A Dataset of Information-Seeking Questions and Answers Anchored in
+               Research Papers},
+    journal   = {CoRR},
+    volume    = {abs/2105.03011},
+    year      = {2021},
+    url       = {https://arxiv.org/abs/2105.03011},
+    eprinttype = {arXiv},
+    eprint    = {2105.03011},
+    timestamp = {Fri, 14 May 2021 12:13:30 +0200},
+    biburl    = {https://dblp.org/rec/journals/corr/abs-2105-03011.bib},
+    bibsource = {dblp computer science bibliography, https://dblp.org}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `qasper`: executes both `qasper_bool` and `qasper_freeform`
+
+#### Tasks
+
+* `qasper_bool`: Multiple choice task that evaluates the task with `answer_type="bool"`
+* `qasper_freeform`: Greedy generation task that evaluates the samples from the task with `answer_type="free form answer"`
+
+### 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/qasper/bool.yaml b/lm-evaluation/lm_eval/tasks/qasper/bool.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17d3f1be983043ac2ca93038ed29e94c90028592
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/qasper/bool.yaml
@@ -0,0 +1,14 @@
+group: qasper
+task: qasper_bool
+dataset_path: allenai/qasper
+output_type: multiple_choice
+training_split: train
+validation_split: validation
+process_docs: !function utils.process_docs_bool
+doc_to_text: "TITLE: {{title}}\nABSTRACT: {{abstract}}\n\nQ: {{question}}\n\nA:"
+doc_to_target: 1
+doc_to_choice: ["no", "yes"]
+metric_list:
+  - metric: f1
+metadata:
+  version: 1.0
diff --git a/lm-evaluation/lm_eval/tasks/qasper/freeform.yaml b/lm-evaluation/lm_eval/tasks/qasper/freeform.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ed7a4bc47274f09eb0f52df04723a011e2db13f0
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/qasper/freeform.yaml
@@ -0,0 +1,18 @@
+group: qasper
+task: qasper_freeform
+dataset_path: allenai/qasper
+output_type: generate_until
+training_split: train
+validation_split: validation
+process_docs: !function utils.process_docs_freeform
+doc_to_text: "TITLE: {{title}}\nABSTRACT: {{abstract}}\n\nQ: {{question}}\n\nA:"
+doc_to_target: answer
+generation_kwargs:
+  until:
+    - "\n"
+metric_list:
+  - metric: !function metrics.f1_abstractive
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 2.0
diff --git a/lm-evaluation/lm_eval/tasks/qasper/metrics.py b/lm-evaluation/lm_eval/tasks/qasper/metrics.py
new file mode 100644
index 0000000000000000000000000000000000000000..cc832912250ae45a4637daaac3f278d0da654ce1
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/qasper/metrics.py
@@ -0,0 +1,41 @@
+import re
+import string
+from collections import Counter
+
+
+def normalize_answer(s):
+    """
+    Taken from the official evaluation script for v1.1 of the SQuAD dataset.
+    Lower text and remove punctuation, articles and extra whitespace.
+    """
+
+    def remove_articles(text):
+        return re.sub(r"\b(a|an|the)\b", " ", text)
+
+    def white_space_fix(text):
+        return " ".join(text.split())
+
+    def remove_punc(text):
+        exclude = set(string.punctuation)
+        return "".join(ch for ch in text if ch not in exclude)
+
+    def lower(text):
+        return text.lower()
+
+    return white_space_fix(remove_articles(remove_punc(lower(s))))
+
+
+def f1_abstractive(predictions, references):
+    """
+    Taken from the official evaluation script for v1.1 of the SQuAD dataset.
+    """
+    prediction_tokens = normalize_answer(predictions[0]).split()
+    references_tokens = normalize_answer(references[0]).split()
+    common = Counter(prediction_tokens) & Counter(references_tokens)
+    num_same = sum(common.values())
+    if num_same == 0:
+        return 0
+    precision = 1.0 * num_same / len(prediction_tokens)
+    recall = 1.0 * num_same / len(references_tokens)
+    f1 = (2 * precision * recall) / (precision + recall)
+    return f1
diff --git a/lm-evaluation/lm_eval/tasks/qasper/utils.py b/lm-evaluation/lm_eval/tasks/qasper/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..fb3d4c55cf7e16a1d2c527510b8ae48d0d3b05fa
--- /dev/null
+++ b/lm-evaluation/lm_eval/tasks/qasper/utils.py
@@ -0,0 +1,72 @@
+from functools import partial
+
+from datasets import Dataset
+
+
+def process_docs(dataset, set_answer_type="bool"):
+    FEATURES = ["title", "abstract", "question", "answer", "answer_type"]
+
+    def _categorise_answer(answer_blob):
+        if answer_blob["unanswerable"]:
+            answer = "unanswerable"
+            answer_type = "unanswerable"
+            return answer, answer_type
+        elif answer_blob["yes_no"]:
+            answer = "yes"
+            answer_type = "bool"
+            return answer, answer_type
+        elif answer_blob["free_form_answer"]:
+            answer = answer_blob["free_form_answer"]
+            answer_type = "free form answer"
+            return answer, answer_type
+        elif answer_blob["extractive_spans"]:
+            answer = answer_blob["extractive_spans"]
+            answer_type = "extractive_spans"
+            return answer, answer_type
+        elif answer_blob["yes_no"] is False:
+            answer = "no"
+            answer_type = "bool"
+            return answer, answer_type
+
+    def _flatten(doc):
+        """Given a `doc`, flatten it out so that each JSON blob
+        contains exactly one question and one answer. Logic taken from
+        the reference implementation available at
+        https://github.com/allenai/qasper-led-baseline/blob/main/scripts/evaluator.py
+        """
+        obs_list = {
+            "title": [],
+            "abstract": [],
+            "question": [],
+            "answer": [],
+            "answer_type": [],
+        }
+        title = doc.pop("title")
+        abstract = doc.pop("abstract")
+        for question, answer_list in zip(doc["qas"]["question"], doc["qas"]["answers"]):
+            for answer_blob in answer_list["answer"]:
+                answer, answer_type = _categorise_answer(answer_blob)
+                if answer_type == set_answer_type:
+                    obs_list["title"].append(title)
+                    obs_list["abstract"].append(abstract)
+                    obs_list["question"].append(question)
+                    obs_list["answer_type"].append(answer_type)
+                    if isinstance(answer, list):
+                        answer = ", ".join(answer)
+                    obs_list["answer"].append(answer)
+
+        return obs_list
+
+    dataset = dataset.map(
+        _flatten,
+        remove_columns=[key for key in dataset.features.keys() if key not in FEATURES],
+    )
+    new_dataset = {}
+    for key in dataset.features.keys():
+        new_dataset[key] = [x for row in dataset[key] for x in row]
+
+    return Dataset.from_dict(new_dataset)
+
+
+process_docs_bool = partial(process_docs, set_answer_type="bool")
+process_docs_freeform = partial(process_docs, set_answer_type="free form answer")