diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/README.md b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..b83e2af67df4c6e82350caaae54a68709a1c59dd
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/README.md
@@ -0,0 +1,42 @@
+# ArabicMMLU
+
+### Paper
+
+ArabicMMLU: Measuring massive multitask language understanding in Arabic
+This dataset has been translated from the original MMLU with the help of GPT-4.
+
+The original data [MMLU](https://arxiv.org/pdf/2009.03300v3.pdf)
+
+The translation has been done with AceGPT researchers [AceGPT](https://arxiv.org/abs/2309.12053)
+
+ArabicMMLU is a comprehensive evaluation benchmark specifically designed to evaluate the knowledge and reasoning abilities of LLMs within the context of Arabic language and culture.
+ArabicMMLU covers a wide range of subjects, comprising 57 topics that span from elementary to advanced professional levels.
+
+Homepage: [AceGPT Homepage](https://github.com/FreedomIntelligence/AceGPT/tree/main/eval/benchmark_eval/benchmarks/MMLUArabic)
+
+### Citation
+
+
+### Groups and Tasks
+
+#### Groups
+
+- `ammlu`: All 57 subjects of the ArabicMMLU dataset, evaluated following the methodology in MMLU's original implementation.
+
+#### Tasks
+
+
+The following tasks evaluate subjects in the ArabicMMLU dataset using loglikelihood-based multiple-choice scoring:
+- `ammlu_{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/build/lib/lm_eval/tasks/ammlu/_default_template_yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/_default_template_yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bbcefffb7889e16d0e9abdc0015149e72b39b029
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/_generate_configs.py b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/_generate_configs.py
new file mode 100644
index 0000000000000000000000000000000000000000..5105e94c2608851f223d221b757a4ea560b3087c
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_abstract_algebra.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_abstract_algebra.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6448b2eefe7decc008a19ff306b83c306bdf9bcc
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_abstract_algebra.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "abstract_algebra"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_abstract_algebra"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_anatomy.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_anatomy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0ea332903d86f6f76e4e43718d6f8ef4b1f887ea
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_astronomy.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_astronomy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..33e4d3e76f0808549fdae2e088c27dbef14c6035
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f86b317a22deca40e17043fe5ddf1823b15873cb
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_clinical_knowledge.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_clinical_knowledge.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..af040fbbeb75810c212d7e68db9010ee0ef69b17
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_clinical_knowledge.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "clinical_knowledge"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_clinical_knowledge"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_biology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_biology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0040902b6b40420777c1cfa3ea43f9e693745fb9
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_college_chemistry.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_chemistry.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d89e5d36d6c3e81b67cee20af8adaa64cdb69769
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_college_computer_science.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_computer_science.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bd24ec782052fbdb2a18c6b271d7db7fd1eb0c21
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_college_mathematics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f86305ff9f813b755c629800f9dabae900fd234b
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_mathematics.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "college_mathematics"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_mathematics"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..20ed05afe21d5256169d05a658b9a34bbbf9f830
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_college_physics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_college_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a66b42a3fff3442e5aceb1a75e3f6472e63ad3b7
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_computer_security.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_computer_security.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f6d0edec21fe23c1f38f17a80990f9af70779759
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1d8b329adfbbb86221fbd7d467b691dfee67bb2c
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_econometrics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_econometrics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2ce1c23a555fb89e654430ed481199450204dd49
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_electrical_engineering.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_electrical_engineering.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..209d660fbf8209c1688822a6f8c9b4c94d5b3131
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_electrical_engineering.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "electrical_engineering"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_electrical_engineering"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_elementary_mathematics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_elementary_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..afb9144da92bdc592e66f96133c538eb0c1829ef
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8b20a85896bf52fb16e7536b46174f2671240224
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_global_facts.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_global_facts.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8236238279cf72b117256b5faefc07ca6de6c3a3
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..16bc3ab6b0b156367714db4b3f892517edaf35f3
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..3f2e675e4c80caad0aa387b6445d27e0ed4c95a7
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d6ab8409eb6648d80adca19929907f10b1f7c65e
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f22a5991753c71b8147ee368e771faf600b86693
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_geography.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_geography.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f180cee343c1df1aed2b443db0f39aab519167c1
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_geography.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_geography"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_geography"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_government_and_politics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_government_and_politics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..88fe999fa3913051d3d43c3d8bbc7739d5567ff5
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_mathematics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_mathematics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..17705ea14ab459635b2ff8ed4a7075a9912b27cd
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_microeconomics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_microeconomics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1e74936e3133978eb348e3509214fe395dc8da20
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_physics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_physics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..368a384f7ed466b08cd96544dcf678570ca49be7
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..224026225b85f638ae70afa46a55ee71e3fa082e
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..49c97a7358b40dd5b4b8215a3cdd4eba58805c84
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_us_history.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_us_history.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f96371a82a30620dbf1a90e6af00b67c25a83079
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_us_history.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_us_history"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_us_history"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_world_history.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_world_history.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..8dd7fc469acf0fc8fb15efbdf56ccc062bf84b4b
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_high_school_world_history.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "high_school_world_history"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_world_history"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_human_aging.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_human_aging.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..180ef373017943782c3a09a88066e839a499d00d
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_human_aging.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "human_aging"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_human_aging"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..d97b76f8434566ef32e7c925c839fe698e62b202
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_international_law.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_international_law.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..46660c50894a3677529b536681f9ba3d82447229
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..97f34f0fa4402e88fa496b441e579f6c3f123737
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_logical_fallacies.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_logical_fallacies.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..594501a443277599336b34b9b5af0bd3877b3e5c
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_machine_learning.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_machine_learning.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ddf19efc638872477410d6a80ca8ae9e8d40df30
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_machine_learning.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "machine_learning"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_machine_learning"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_management.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_management.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..36780c08a5737939af46b1e9c34909c23e10f49c
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_marketing.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_marketing.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1a7cf1f1a8bb258316d929d8dcdfc69d2ed4afe7
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..b81c28b3e761fb842a1301d592977cdac57fcefd
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_moral_disputes.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_moral_disputes.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a01ffb2c4a29fd8bbf87edd08937ea7801681a56
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_moral_scenarios.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_moral_scenarios.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..891f62917fc1077dc94c0f927bcddb046a2cfe20
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_moral_scenarios.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "moral_scenarios"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_moral_scenarios"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_nutrition.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_nutrition.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6e2c10a4108d0575656a0729170579182325b032
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_philosophy.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_philosophy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..7211875da65c4f8e0c8b6d5b7554d27a24d42aef
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_philosophy.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "philosophy"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_philosophy"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_prehistory.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_prehistory.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..77a29ee976fadae33505888060195bdc496ca5a8
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_prehistory.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "prehistory"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_prehistory"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_accounting.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_accounting.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ea4e68c93d418d4de3062bb3e7408d087916daf8
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_professional_law.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_law.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ce37c8f63a8a10f911e9b225096a7d5d9c815c7c
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_law.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_law"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_professional_law"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_medicine.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_medicine.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..a7b1d184d9905e1a7ab05db84184e0ab004da526
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_medicine.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "professional_medicine"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_professional_medicine"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_psychology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_professional_psychology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..65a721c92aeaaea67666c168dc9b1151e23ebab3
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_public_relations.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_public_relations.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..e2bdc98c67144b44c6cce84e2a21cfb9cfecdc9e
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_public_relations.yaml
@@ -0,0 +1,4 @@
+"dataset_name": "public_relations"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_public_relations"
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_sociology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_sociology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bf92339270aac89ecf7a3acd29d217c4cdd31414
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_us_foreign_policy.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_us_foreign_policy.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6f934dab9b7b7215afc9e35fb8c04e2264ab8364
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_virology.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_virology.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..f2b0ad6e42b9acdfcf3040baa73e2a155faaa4e7
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/ammlu/ammlu_world_religions.yaml b/lm-evaluation/build/lib/lm_eval/tasks/ammlu/ammlu_world_religions.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..dc433e13d9da096bc16b3e64c1138bedc04b4813
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/asdiv/README.md b/lm-evaluation/build/lib/lm_eval/tasks/asdiv/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e6e5aeec0403b8c854233089498c9248cf38f089
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/asdiv/README.md
@@ -0,0 +1,56 @@
+# ASDiv
+
+### Paper
+
+Title: `ASDiv: A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers`
+
+Abstract: https://arxiv.org/abs/2106.15772
+
+ASDiv (Academia Sinica Diverse MWP Dataset) is a diverse (in terms of both language
+patterns and problem types) English math word problem (MWP) corpus for evaluating
+the capability of various MWP solvers. Existing MWP corpora for studying AI progress
+remain limited either in language usage patterns or in problem types. We thus present
+a new English MWP corpus with 2,305 MWPs that cover more text patterns and most problem
+types taught in elementary school. Each MWP is annotated with its problem type and grade
+level (for indicating the level of difficulty).
+
+NOTE: We currently ignore formulas for answer generation.
+
+Homepage: https://github.com/chaochun/nlu-asdiv-dataset
+
+
+### Citation
+
+```
+@misc{miao2021diverse,
+    title={A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers},
+    author={Shen-Yun Miao and Chao-Chun Liang and Keh-Yih Su},
+    year={2021},
+    eprint={2106.15772},
+    archivePrefix={arXiv},
+    primaryClass={cs.AI}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* Not part of a group yet.
+
+#### Tasks
+
+* `asdiv`
+
+### 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/build/lib/lm_eval/tasks/asdiv/default.yaml b/lm-evaluation/build/lib/lm_eval/tasks/asdiv/default.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..bd3917c3c228dd8cca64fc40ffd27de55608f457
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/asdiv/default.yaml
@@ -0,0 +1,16 @@
+task: asdiv
+dataset_path: EleutherAI/asdiv
+output_type: loglikelihood
+validation_split: validation
+doc_to_text: "{{body}}\nQuestion:{{question}}\nAnswer:"
+doc_to_target: "{{answer.split(' (')[0]}}"
+should_decontaminate: true
+doc_to_decontamination_query: "{{body}} {{question}}"
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0
+dataset_kwargs:
+  trust_remote_code: true
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/adjunct_island.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/adjunct_island.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..abdb4b8c898e71eac1da1de57b4ff9b425a32644
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/adjunct_island.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: adjunct_island
+include: _template_yaml
+task: blimp_adjunct_island
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/anaphor_gender_agreement.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/anaphor_gender_agreement.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..9117dafad3c43968010d4c595d0ffafcc377de44
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/anaphor_gender_agreement.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: anaphor_gender_agreement
+include: _template_yaml
+task: blimp_anaphor_gender_agreement
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/determiner_noun_agreement_with_adj_irregular_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..57f12ecade63b595378cb2c9aadf710725e9d4b0
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/blimp/determiner_noun_agreement_with_adjective_1.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/determiner_noun_agreement_with_adjective_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..4512e9176f98a9f2ec3f53de15657b97274809fb
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/determiner_noun_agreement_with_adjective_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: determiner_noun_agreement_with_adjective_1
+include: _template_yaml
+task: blimp_determiner_noun_agreement_with_adjective_1
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/drop_argument.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/drop_argument.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..db3b1fed109c802774c1ac8e347a931febc89646
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/drop_argument.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: drop_argument
+include: _template_yaml
+task: blimp_drop_argument
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/existential_there_object_raising.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/existential_there_object_raising.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..765596462dce91f51b557fca254deef3a2ee325e
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/existential_there_object_raising.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: existential_there_object_raising
+include: _template_yaml
+task: blimp_existential_there_object_raising
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/intransitive.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/intransitive.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..1d5b7edbdc26833f7ae645889d8642077fd979bc
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/intransitive.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: intransitive
+include: _template_yaml
+task: blimp_intransitive
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_1.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..537c7764f671636cfb781382397f525d0fba305a
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/irregular_plural_subject_verb_agreement_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: irregular_plural_subject_verb_agreement_1
+include: _template_yaml
+task: blimp_irregular_plural_subject_verb_agreement_1
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/left_branch_island_simple_question.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/left_branch_island_simple_question.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..214de3c2edb49de48878e6baed1bf725c9728b98
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/left_branch_island_simple_question.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: left_branch_island_simple_question
+include: _template_yaml
+task: blimp_left_branch_island_simple_question
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/passive_1.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/passive_1.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..0dd6aca0535d448d9269ae1959063d687955a17f
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/passive_1.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: passive_1
+include: _template_yaml
+task: blimp_passive_1
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/sentential_negation_npi_licensor_present.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..df607e5c79e02ef8b284ce2b458ba5371951fc89
--- /dev/null
+++ b/lm-evaluation/build/lib/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/build/lib/lm_eval/tasks/blimp/superlative_quantifiers_2.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/superlative_quantifiers_2.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..ac031c4ecc1acf46bed9c5dbf333f140daa18155
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/superlative_quantifiers_2.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: superlative_quantifiers_2
+include: _template_yaml
+task: blimp_superlative_quantifiers_2
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/blimp/wh_vs_that_no_gap.yaml b/lm-evaluation/build/lib/lm_eval/tasks/blimp/wh_vs_that_no_gap.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..2221ce5fe0f55611003ab554d5f24aafad41bebf
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/blimp/wh_vs_that_no_gap.yaml
@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: wh_vs_that_no_gap
+include: _template_yaml
+task: blimp_wh_vs_that_no_gap
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/scrolls/README.md b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..a90e00f4e729711fc6ea7ccd0c375e4686f8970d
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/README.md
@@ -0,0 +1,31 @@
+"""
+SCROLLS: Standardized CompaRison Over Long Language Sequences
+https://arxiv.org/abs/2201.03533
+
+SCROLLS is a suite of datasets that require synthesizing information over long texts.
+The benchmark includes seven natural language tasks across multiple domains,
+including summarization, question answering, and natural language inference.
+
+Homepage: https://www.scrolls-benchmark.com/
+
+Since SCROLLS tasks are generally longer than the maximum sequence length of many models,
+it is possible to create "subset" tasks that contain only those samples whose tokenized length
+is less than some pre-defined limit. For example, to create a subset of "Qasper" that would
+be suitable for a model using the GPTNeoX tokenizer and a 4K maximium sequence length:
+
+```
+class QasperGPTNeoX4K(Qasper):
+    PRUNE_TOKENIZERS = ["EleutherAI/pythia-410m-deduped"]
+    PRUNE_MAX_TOKENS = 4096
+    PRUNE_NUM_PROC = _num_cpu_cores() # optional, to speed up pruning of large datasets like NarrativeQA
+```
+
+`PRUNE_TOKENIZERS` can contain more than one tokenizer; this will include only samples that are
+less than `PRUNE_MAX_TOKENS` for ALL of the tokenizers. This can be useful to comparing models
+that use different tokenizers but the same maximum sequence length.
+
+Once the subset task class has been defined in this file, it can be used by adding the class
+to `lm_eval/tasks/__init__.py`.
+
+NOTE: GovReport may need `max_gen_toks` set larger for causal models.
+"""
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/scrolls/scrolls.yaml b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/scrolls.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..da8d03e89e0fda15918a34357681ca98f4285ad8
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/scrolls.yaml
@@ -0,0 +1,16 @@
+group: scrolls
+task:
+  - task: scrolls_qasper
+    class: !function task.Qasper
+  - task: scrolls_quality
+    class: !function task.QuALITY
+  - task: scrolls_narrativeqa
+    class: !function task.NarrativeQA
+  - task: scrolls_contractnli
+    class: !function task.ContractNLI
+  - task: scrolls_govreport
+    class: !function task.GovReport
+  - task: scrolls_summscreenfd
+    class: !function task.SummScreenFD
+  - task: scrolls_qmsum
+    class: !function task.QMSum
diff --git a/lm-evaluation/build/lib/lm_eval/tasks/scrolls/task.py b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/task.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b604e15d9305848705af087c6a1da5590f62039
--- /dev/null
+++ b/lm-evaluation/build/lib/lm_eval/tasks/scrolls/task.py
@@ -0,0 +1,456 @@
+import re
+from abc import abstractmethod
+from functools import reduce
+
+import numpy as np
+import transformers.data.metrics.squad_metrics as squad_metrics
+from datasets import load_metric
+from transformers import AutoTokenizer
+
+from lm_eval.api.instance import Instance
+from lm_eval.api.metrics import mean
+from lm_eval.api.task import Task
+
+
+_CITATION = """
+@inproceedings{shaham-etal-2022-scrolls,
+    title = "{SCROLLS}: Standardized {C}ompa{R}ison Over Long Language Sequences",
+    author = "Shaham, Uri  and
+      Segal, Elad  and
+      Ivgi, Maor  and
+      Efrat, Avia  and
+      Yoran, Ori  and
+      Haviv, Adi  and
+      Gupta, Ankit  and
+      Xiong, Wenhan  and
+      Geva, Mor  and
+      Berant, Jonathan  and
+      Levy, Omer",
+    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.emnlp-main.823",
+    pages = "12007--12021"
+}
+"""
+
+# SCROLLS is formualted as a sequence-to-sequence task.
+# To allow for evaluation of causal models, we'll
+# reformualte these with appropriate prompts
+
+
+def _download_metric():
+    import os
+    import shutil
+
+    from huggingface_hub import hf_hub_download
+
+    scrolls_metric_path = hf_hub_download(
+        repo_id="tau/scrolls", repo_type="dataset", filename="metrics/scrolls.py"
+    )
+    updated_scrolls_metric_path = (
+        os.path.dirname(scrolls_metric_path)
+        + os.path.basename(scrolls_metric_path).replace(".", "_")
+        + ".py"
+    )
+    shutil.copy(scrolls_metric_path, updated_scrolls_metric_path)
+    return updated_scrolls_metric_path
+
+
+def _process_doc_prepended_question(doc):
+    # "When a query is given in addition to the raw text (as
+    # in QMSum, Qasper, NarrativeQA, QuALITY, and ContractNLI),
+    # we prepend it to the text, using two newlines as a natural separator"
+    input = doc["input"]
+    split = input.find("\n\n")
+    return {
+        "id": doc["id"],
+        "pid": doc["pid"],
+        "input": input,
+        "outputs": doc["outputs"],
+        "question": input[0:split],
+        "text": input[split + 2 :],
+    }
+
+
+def _drop_duplicates_in_input(untokenized_dataset):
+    # from scrolls/evaluator/dataset_evaluator.py
+
+    indices_to_keep = []
+    id_to_idx = {}
+    outputs = []
+    for i, (id_, output) in enumerate(
+        zip(untokenized_dataset["id"], untokenized_dataset["output"])
+    ):
+        if id_ in id_to_idx:
+            outputs[id_to_idx[id_]].append(output)
+            continue
+        indices_to_keep.append(i)
+        id_to_idx[id_] = len(outputs)
+        outputs.append([output])
+    untokenized_dataset = untokenized_dataset.select(indices_to_keep).flatten_indices()
+    untokenized_dataset = untokenized_dataset.remove_columns("output")
+    untokenized_dataset = untokenized_dataset.add_column("outputs", outputs)
+    return untokenized_dataset
+
+
+def _num_cpu_cores():
+    # https://stackoverflow.com/questions/1006289/how-to-find-out-the-number-of-cpus-using-python/55423170#55423170
+    try:
+        import psutil
+
+        return psutil.cpu_count(logical=False)
+    except ImportError:
+        import os
+
+        return len(os.sched_getaffinity(0))
+
+
+class _SCROLLSTask(Task):
+    VERSION = 2
+    DATASET_PATH = "tau/scrolls"
+    DATASET_NAME = None
+    PRUNE_TOKENIZERS = None
+    PRUNE_MAX_TOKENS = None
+    PRUNE_NUM_PROC = None
+
+    def __init__(self):
+        super().__init__()
+        if self.DATASET_NAME is not None:
+            self.metric = load_metric(_download_metric(), config_name=self.DATASET_NAME)
+
+    def has_training_docs(self):
+        return True
+
+    def has_validation_docs(self):
+        return True
+
+    def has_test_docs(self):
+        return False
+
+    def training_docs(self):
+        for doc in self.dataset["train"]:
+            yield from self._process_doc(doc)
+
+    def validation_docs(self):
+        for doc in self.dataset["validation"]:
+            yield from self._process_doc(doc)
+
+    def should_decontaminate(self):
+        return True
+
+    def doc_to_decontamination_query(self, doc):
+        return doc["input"]
+
+    def download(self, *args, **kwargs):
+        super().download(*args, **kwargs)
+        del self.dataset["test"]
+        for split in self.dataset:
+            self.dataset[split] = _drop_duplicates_in_input(self.dataset[split])
+        if self.PRUNE_TOKENIZERS is not None:
+            self.prune()
+
+    def _get_prune_text(self, sample):
+        return self.doc_to_text(self._process_doc(sample)[0])
+
+    def prune(self):
+        """Create a pruned version of a SCROLLS task dataset containing only inputs
+        that are less than `max_tokens` when tokenized by each tokenizer
+        """
+
+        tokenizers = [
+            AutoTokenizer.from_pretrained(tokenizer)
+            for tokenizer in self.PRUNE_TOKENIZERS
+        ]
+        cache = {}
+
+        def _filter(sample):
+            text = self._get_prune_text(sample)
+            cached = cache.get(text, None)
+            if cached is None:
+                for tokenizer in tokenizers:
+                    if len(tokenizer(text).input_ids) > self.PRUNE_MAX_TOKENS:
+                        cache[text] = False
+                        return False
+                cache[text] = True
+                return True
+            else:
+                return cached
+
+        self.dataset = self.dataset.filter(_filter, num_proc=self.PRUNE_NUM_PROC)
+
+    def doc_to_target(self, doc):
+        return " " + ", ".join(doc["outputs"])
+
+    def doc_to_text(self, doc):
+        return f"{doc['text']}\n\nQuestion: {doc['question']}\nAnswer:"
+
+    def higher_is_better(self):
+        return {x: True for x in self._scrolls_metrics().keys()}
+
+    @abstractmethod
+    def _scrolls_metrics(self):
+        pass
+
+    def _make_compute_metrics(self, value):
+        def compute_metrics(samples):
+            predictions, references = zip(*samples)  # unzip, if you will
+            computed = self.metric.compute(
+                predictions=predictions, references=references
+            )
+            return computed[value]
+
+        return compute_metrics
+
+    def aggregation(self):
+        return {
+            key: self._make_compute_metrics(value)
+            for key, value in self._scrolls_metrics().items()
+        }
+
+
+class _SCROLLSMultipleChoiceTask(_SCROLLSTask):
+    def __post_init__(self):
+        self.metric = None
+
+    def _scrolls_metrics(self):
+        return None
+
+    def aggregation(self):
+        return {"em": mean, "acc": mean, "acc_norm": mean}
+
+    def higher_is_better(self):
+        return {"em": True, "acc": True, "acc_norm": True}
+
+    def process_results(self, doc, results):
+        gold = doc["gold"]
+
+        lls, _ = zip(*results)
+        acc = 1.0 if np.argmax(lls) == gold else 0.0
+        completion_len = np.array([float(len(i)) for i in doc["choices"]])
+        acc_norm = 1.0 if np.argmax(lls / completion_len) == gold else 0.0
+
+        return {
+            "acc": acc,
+            "acc_norm": acc_norm,
+            "em": acc_norm * 100.0,
+        }
+
+    def construct_requests(self, doc, ctx, **kwargs):
+        request_list = [
+            Instance(
+                request_type="loglikelihood",
+                doc=doc,
+                arguments=(ctx, " {}".format(choice)),
+                idx=i,
+                **kwargs,
+            )
+            for i, choice in enumerate(doc["choices"])
+        ]
+        return request_list
+
+
+class _SCROLLSSummaryTask(_SCROLLSTask):
+    def _process_doc(self, doc):
+        return [doc]
+
+    def _scrolls_metrics(self):
+        return {
+            "rouge1": "rouge/rouge1",
+            "rouge2": "rouge/rouge2",
+            "rougeL": "rouge/rougeL",
+        }
+
+    def process_results(self, doc, results):
+        return {
+            "rouge1": (results[0], doc["outputs"]),
+            "rouge2": (results[0], doc["outputs"]),
+            "rougeL": (results[0], doc["outputs"]),
+        }
+
+    def construct_requests(self, doc, ctx, **kwargs):
+        return Instance(
+            request_type="generate_until",
+            doc=doc,
+            arguments=(ctx, {"until": ["\n"]}),
+            idx=0,
+            **kwargs,
+        )
+
+    def doc_to_text(self, doc):
+        return f"{doc['input']}\n\nQuestion: What is a summary of the preceding text?\nAnswer:"
+
+
+class Qasper(_SCROLLSTask):
+    """A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers
+    https://arxiv.org/abs/2105.03011
+    """
+
+    DATASET_NAME = "qasper"
+
+    def _process_doc(self, doc):
+        doc = _process_doc_prepended_question(doc)
+        doc["is_yes_no"] = reduce(
+            lambda prev, cur: prev
+            and squad_metrics.normalize_answer(cur) in ["yes", "no"],
+            doc["outputs"],
+            True,
+        )
+        return [doc]
+
+    def _scrolls_metrics(self):
+        return {"f1": "f1"}
+
+    def process_results(self, doc, results):
+        if doc["is_yes_no"]:
+            prediction = " yes" if results[0] > results[1] else " no"
+        elif len(results[0].strip()) == 0:
+            prediction = "Unanswerable"
+        else:
+            prediction = results[0]
+        return {"f1": (prediction, doc["outputs"])}
+
+    def construct_requests(self, doc, ctx, **kwargs):
+        if doc["is_yes_no"]:
+            return [
+                Instance(
+                    request_type="loglikelihood",
+                    doc=doc,
+                    arguments=(ctx, " yes"),
+                    idx=0,
+                    **kwargs,
+                ),
+                Instance(
+                    request_type="loglikelihood",
+                    doc=doc,
+                    arguments=(ctx, " no"),
+                    idx=1,
+                    **kwargs,
+                ),
+            ]
+        else:
+            return Instance(
+                request_type="generate_until",
+                doc=doc,
+                arguments=(ctx, {"until": ["\n"]}),
+                idx=0,
+                **kwargs,
+            )
+
+
+class QuALITY(_SCROLLSMultipleChoiceTask):
+    """QuALITY: Question Answering with Long Input Texts, Yes!
+    https://arxiv.org/abs/2112.08608
+    """
+
+    DATASET_NAME = "quality"
+    _multiple_choice_pattern = re.compile(r" *\([A-D]\) *")
+
+    @staticmethod
+    def _normalize_answer(text):
+        return " ".join(text.split()).strip()
+
+    def _process_doc(self, doc):
+        doc = _process_doc_prepended_question(doc)
+
+        split = doc["text"].find("\n\n", doc["text"].find("(D)"))
+        choices_text = doc["text"][:split]
+
+        doc["text"] = doc["text"][split:].strip()
+        doc["choices"] = [
+            QuALITY._normalize_answer(choice)
+            for choice in re.split(QuALITY._multiple_choice_pattern, choices_text)[1:]
+        ]
+        doc["gold"] = doc["choices"].index(QuALITY._normalize_answer(doc["outputs"][0]))
+
+        return [doc]
+
+
+class NarrativeQA(_SCROLLSTask):
+    """The NarrativeQA Reading Comprehension Challenge
+    https://arxiv.org/abs/1712.07040
+    """
+
+    DATASET_NAME = "narrative_qa"
+
+    def _process_doc(self, doc):
+        return [_process_doc_prepended_question(doc)]
+
+    def _scrolls_metrics(self):
+        return {"f1": "f1"}
+
+    def _get_prune_text(self, doc):
+        # pruning narrativeqa takes forever -- let's cheat a bit
+        # and just cache on the text, not the question, since
+        # the dataset is different questions about the same large
+        # documents
+        return self._process_doc(doc)[0]["text"]
+
+    def process_results(self, doc, results):
+        return {"f1": (results[0], doc["outputs"])}
+
+    def construct_requests(self, doc, ctx, **kwargs):
+        return Instance(
+            request_type="generate_until",
+            doc=doc,
+            arguments=(ctx, {"until": ["\n"]}),
+            idx=0,
+            **kwargs,
+        )
+
+
+class ContractNLI(_SCROLLSMultipleChoiceTask):
+    """ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts
+    https://arxiv.org/abs/1712.07040
+    """
+
+    DATASET_NAME = "contract_nli"
+    CHOICES = ["Not mentioned", "Entailment", "Contradiction"]
+
+    def _process_doc(self, doc):
+        doc = _process_doc_prepended_question(doc)
+        doc["choices"] = ContractNLI.CHOICES
+        doc["gold"] = ContractNLI.CHOICES.index(doc["outputs"][0])
+        return [doc]
+
+    def doc_to_text(self, doc):
+        return f"{doc['text']}\n\nHypothesis: {doc['question']}\nConclusion:"
+
+
+class GovReport(_SCROLLSSummaryTask):
+    """Efficient Attentions for Long Document Summarization
+    https://arxiv.org/abs/2104.02112
+
+    Note: The average length of the reference summaries is ~3,000
+    characters, or ~600 tokens as tokenized by GPT-NeoX. For causal models,
+    it is recommended to set `max_gen_toks` sufficently large (e.g. 1024)
+    to allow a full summary to be generated.
+    """
+
+    DATASET_NAME = "gov_report"
+
+
+class SummScreenFD(_SCROLLSSummaryTask):
+    """SummScreen: A Dataset for Abstractive Screenplay Summarization
+    https://arxiv.org/abs/2104.07091
+    """
+
+    DATASET_NAME = "summ_screen_fd"
+
+
+class QMSum(_SCROLLSSummaryTask):
+    """QMSum: A New Benchmark for Query-based Multi-domain
+    Meeting Summarization
+
+    https://arxiv.org/abs/2104.05938
+    """
+
+    DATASET_NAME = "qmsum"
+
+    def _process_doc(self, doc):
+        return [_process_doc_prepended_question(doc)]
+
+    def doc_to_text(self, doc):
+        return f"{doc['text']}\n\nQuestion: {doc['question']}\nAnswer:"