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ckpts/universal/global_step20/zero/21.post_attention_layernorm.weight/exp_avg_sq.pt

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+size 9387

ckpts/universal/global_step20/zero/6.mlp.dense_h_to_4h.weight/exp_avg.pt

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+version https://git-lfs.github.com/spec/v1
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+size 33555612

lm-evaluation-harness/lm_eval/tasks/ammlu/README.md

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+# 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?

lm-evaluation-harness/lm_eval/tasks/ammlu/_default_template_yaml

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+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

lm-evaluation-harness/lm_eval/tasks/ammlu/_generate_configs.py

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+"""
+Take in a YAML, and output all other splits with this YAML
+"""
+import argparse
+import os
+
+import yaml
+from tqdm import tqdm
+
+
+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='"',
+            )

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_astronomy.yaml

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+"dataset_name": "astronomy"
+"description": "فم بعملية التقييم في مجال ألعلوم وتقنية المعلومات و الرياضيات \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_astronomy"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_business_ethics.yaml

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+"dataset_name": "business_ethics"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_business_ethics"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_clinical_knowledge.yaml

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+"dataset_name": "clinical_knowledge"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_clinical_knowledge"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_college_biology.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_college_mathematics.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_college_medicine.yaml

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+"dataset_name": "college_medicine"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_college_medicine"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_conceptual_physics.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_electrical_engineering.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_formal_logic.yaml

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+"dataset_name": "formal_logic"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_formal_logic"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_global_facts.yaml

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+"dataset_name": "global_facts"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_global_facts"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_biology.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_chemistry.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_computer_science.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_european_history.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_macroeconomics.yaml

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+"dataset_name": "high_school_macroeconomics"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_macroeconomics"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_psychology.yaml

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+"dataset_name": "high_school_psychology"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_high_school_psychology"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_statistics.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_high_school_world_history.yaml

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+"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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_human_sexuality.yaml

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+"dataset_name": "human_sexuality"
+"description": "فم بعملية التقييم في مجال العلوم الإجتماعية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_human_sexuality"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_international_law.yaml

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+"dataset_name": "international_law"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_international_law"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_jurisprudence.yaml

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+"dataset_name": "jurisprudence"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_jurisprudence"

lm-evaluation-harness/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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_management.yaml

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+"dataset_name": "management"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_management"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_miscellaneous.yaml

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+"dataset_name": "miscellaneous"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_miscellaneous"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_moral_scenarios.yaml

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+"dataset_name": "moral_scenarios"
+"description": "فم بعملية التقييم في مجال العلوم الانسانية \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_moral_scenarios"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_nutrition.yaml

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+"dataset_name": "nutrition"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_nutrition"

lm-evaluation-harness/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"

lm-evaluation-harness/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"

lm-evaluation-harness/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"

lm-evaluation-harness/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"

lm-evaluation-harness/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"

lm-evaluation-harness/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"

lm-evaluation-harness/lm_eval/tasks/ammlu/ammlu_virology.yaml

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+"dataset_name": "virology"
+"description": "فم بعملية التقييم في مجال علوم أخرى \n\n"
+"include": "_default_template_yaml"
+"task": "ammlu_virology"

lm-evaluation-harness/lm_eval/tasks/indic_arc_challenge/indic_arc_challenge_common_yaml

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+# 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: Cognitive-Lab/Indic-ARC-Challenge
+dataset_path: Cognitive-Lab/Indic-ARC-Challenge
+
+output_type: multiple_choice
+#training_split: train
+#validation_split: validation
+test_split: test
+
+doc_to_target: label
+doc_to_choice: !function utils.doc_to_choice
+
+metric_list:
+  - metric: acc
+    aggregation: mean
+    higher_is_better: true
+metadata:
+  version: 1.0

lm-evaluation-harness/lm_eval/tasks/indic_arc_challenge/indic_arc_challenge_hi.yaml

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+dataset_name: hi
+include: indic_arc_challenge_common_yaml
+doc_to_text: "Question: {{translated_question}}\nAnswer:"
+doc_to_target: "{{translated_choices.label.index(answerKey)}}"
+doc_to_choice: "{{translated_choices.text}}"
+should_decontaminate: true
+doc_to_decontamination_query: "Question: {{translated_question}}\nAnswer:"
+
+task: indic_arc_challenge_hi

lm-evaluation-harness/lm_eval/tasks/indic_arc_challenge/indic_arc_challenge_mr.yaml

@@ -0,0 +1,9 @@
+dataset_name: mr
+include: indic_arc_challenge_common_yaml
+doc_to_text: "Question: {{translated_question}}\nAnswer:"
+doc_to_target: "{{translated_choices.label.index(answerKey)}}"
+doc_to_choice: "{{translated_choices.text}}"
+should_decontaminate: true
+doc_to_decontamination_query: "Question: {{translated_question}}\nAnswer:"
+
+task: indic_arc_challenge_mr

lm-evaluation-harness/lm_eval/tasks/indic_arc_challenge/utils.py

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+from functools import partial
+
+
+def convert_choice(choice):
+    return choice
+
+
+def doc_to_text(doc, connector):
+    # Drop the period
+    conn = connector[doc["question"]]
+    return doc["premise"].strip()[:-1] + f" {conn}"
+
+
+def doc_to_choice(doc):
+    return [convert_choice(doc["choice1"]), convert_choice(doc["choice2"])]
+
+
+doc_to_text_hi = partial(
+    doc_to_text,
+    connector={
+        "cause": "कारण",
+        "effect": "परिणाम",
+    },
+)
+
+doc_to_text_mr = partial(
+    doc_to_text,
+    connector={
+        "cause": "कारण",
+        "effect": "परिणाम",
+    },
+)
+
+doc_to_text_as = partial(
+    doc_to_text,
+    connector={
+        "cause": "কাৰণ",
+        "effect": "প্ৰভাৱ",
+    },
+)
+
+doc_to_text_bn = partial(
+    doc_to_text,
+    connector={
+        "cause": "কারণ",
+        "effect": "প্রভাব",
+    },
+)
+
+doc_to_text_gu = partial(
+    doc_to_text,
+    connector={
+        "cause": "કારણ",
+        "effect": "અસર",
+    },
+)
+
+doc_to_text_kn = partial(
+    doc_to_text,
+    connector={
+        "cause": "ಕಾರಣ",
+        "effect": "ಪರಿಣಾಮ",
+    },
+)
+
+doc_to_text_mai = partial(
+    doc_to_text,
+    connector={
+        "cause": "कारण",
+        "effect": "प्रभाव",
+    },
+)
+
+doc_to_text_ml = partial(
+    doc_to_text,
+    connector={
+        "cause": "കാരണമാകുന്നു",
+        "effect": "ഫലം",
+    },
+)
+
+doc_to_text_ne = partial(
+    doc_to_text,
+    connector={
+        "cause": "कारण",
+        "effect": "असर",
+    },
+)
+
+doc_to_text_or = partial(
+    doc_to_text,
+    connector={
+        "cause": "କାରଣ",
+        "effect": "ପ୍ରଭାବ",
+    },
+)
+
+doc_to_text_sa = partial(
+    doc_to_text,
+    connector={
+        "cause": "निमित्तम्‌",
+        "effect": "परिणाम",
+    },
+)
+
+doc_to_text_sd = partial(
+    doc_to_text,
+    connector={
+        "cause": "سبب",
+        "effect": "اثر",
+    },
+)
+
+doc_to_text_ta = partial(
+    doc_to_text,
+    connector={
+        "cause": "காரணம்",
+        "effect": "விளைவு",
+    },
+)
+
+doc_to_text_te = partial(
+    doc_to_text,
+    connector={
+        "cause": "కారణం",
+        "effect": "ప్రభావం",
+    },
+)
+
+doc_to_text_ur = partial(
+    doc_to_text,
+    connector={
+        "cause": "وجہ",
+        "effect": "اثر",
+    },
+)