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

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+"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"

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

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

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

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+"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"

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

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

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

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+"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"

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

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+"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"

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

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

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

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

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

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

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

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

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

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+"""
+Take in a YAML, and output all other splits with this YAML
+"""
+import argparse
+import os
+
+import requests
+import yaml
+from tqdm import tqdm
+
+from lm_eval.utils import logging
+
+
+API_URL = "https://datasets-server.huggingface.co/splits?dataset=facebook/belebele"
+
+
+def parse_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--base_yaml_path", required=True)
+    parser.add_argument("--save_prefix_path", default="belebele")
+    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)
+
+    def query():
+        response = requests.get(API_URL)
+        return response.json()["splits"]
+
+    print(query())
+    languages = [split["split"] for split in query()]
+
+    for lang in tqdm([lang for lang in languages if "default" not in lang]):
+        yaml_dict = {
+            "include": base_yaml_name,
+            "task": f"belebele_{args.task_prefix}_{lang}"
+            if args.task_prefix != ""
+            else f"belebele_{lang}",
+            "test_split": lang,
+            "fewshot_split": lang,
+        }
+
+        file_save_path = args.save_prefix_path + f"_{lang}.yaml"
+        logging.info(f"Saving yaml for subset {lang} 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/eus_exams/README.md

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+# EusExams
+
+### Paper
+
+Title: Latxa: An Open Language Model and Evaluation Suite for Basque
+
+Abstract: https://arxiv.org/abs/2403.20266
+
+EusExams is a collection of tests designed to prepare individuals for Public Service examinations conducted by several Basque institutions, including the public health system Osakidetza, the Basque Government, the City Councils of Bilbao and Gasteiz, and the University of the Basque Country (UPV/EHU). Within each of these groups, there are different exams for public positions, such as administrative and assistant roles. Each multiple-choice question contains 2 to 4 choices (3.90 on average) and one correct answer. The dataset is mostly parallel with 16k questions in Basque and 18k in Spanish.
+
+Homepage: https://github.com/hitz-zentroa/latxa
+
+
+### Citation
+
+```
+@misc{etxaniz2024latxa,
+      title={Latxa: An Open Language Model and Evaluation Suite for Basque},
+      author={Julen Etxaniz and Oscar Sainz and Naiara Perez and Itziar Aldabe and German Rigau and Eneko Agirre and Aitor Ormazabal and Mikel Artetxe and Aitor Soroa},
+      year={2024},
+      eprint={2403.20266},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+
+### Groups and Tasks
+
+#### Groups
+
+* `eus_exams_eu`: The Basque version of the exams.
+* `eus_exams_es`: The Spanish version of the exams.
+
+#### Tasks
+
+Basque and Spanish versions of the exams are available as separate tasks starting with `eus_exams_eu` and `eus_exams_es` respectively.
+
+### 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?

lm-evaluation-harness/lm_eval/tasks/eus_exams/configs.py

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+import argparse
+import json
+
+import requests
+import yaml
+
+
+# get configs from huggingface datasets server by doing a request
+response = requests.get(
+    "https://datasets-server.huggingface.co/splits?dataset=HiTZ%2FEusExams", timeout=5
+)
+response_json = json.loads(response.text)
+CONFIGS = [split["config"] for split in response_json["splits"]]
+
+
+def gen_config_yamls(output_dir: str, overwrite: bool) -> None:
+    """
+    Generate a yaml file for each configuage.
+
+    :param output_dir: The directory to output the files to.
+    :param overwrite: Whether to overwrite files if they already exist.
+    """
+    err = []
+    for config in CONFIGS:
+        file_name = f"eus_exams_{config}.yaml"
+        try:
+            with open(f"{output_dir}/{file_name}", "w" if overwrite else "x") as f:
+                f.write("# Generated by utils.py\n")
+                yaml.dump(
+                    {
+                        "include": "eus_exams_es"
+                        if "eus_exams_es" in config
+                        else "eus_exams_eu",
+                        "dataset_name": config,
+                        "task": f"eus_exams_{config}",
+                    },
+                    f,
+                )
+        except FileExistsError:
+            err.append(file_name)
+
+    if len(err) > 0:
+        raise FileExistsError(
+            "Files were not created because they already exist (use --overwrite flag):"
+            f" {', '.join(err)}"
+        )
+
+
+def main() -> None:
+    """Parse CLI args and generate configuage-specific yaml files."""
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--overwrite",
+        default=False,
+        action="store_true",
+        help="Overwrite files if they already exist",
+    )
+    parser.add_argument(
+        "--output-dir", default=".", help="Directory to write yaml files to"
+    )
+    args = parser.parse_args()
+
+    gen_config_yamls(output_dir=args.output_dir, overwrite=args.overwrite)
+
+
+if __name__ == "__main__":
+    main()

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams

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+dataset_path: HiTZ/EusExams
+dataset_name: null
+validation_split: null
+test_split: test
+fewshot_split: test
+process_docs: !function utils.process_docs
+output_type: multiple_choice
+doc_to_choice: ["A", "B", "C", "D"]
+doc_to_target: 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/eus_exams/eus_exams_es

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+include: eus_exams
+group:
+  - eus_exams_es
+doc_to_text: "Pregunta: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nD: {{candidates[3]}}\nRespuesta:"

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_ejadministrativo.yaml

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+# Generated by utils.py
+dataset_name: es_ejadministrativo
+include: eus_exams_es
+task: eus_exams_es_ejadministrativo

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_ejauxiliar.yaml

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+# Generated by utils.py
+dataset_name: es_ejauxiliar
+include: eus_exams_es
+task: eus_exams_es_ejauxiliar

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_ejsubalterno.yaml

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+# Generated by utils.py
+dataset_name: es_ejsubalterno
+include: eus_exams_es
+task: eus_exams_es_ejsubalterno

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_ejtecnico.yaml

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+# Generated by utils.py
+dataset_name: es_ejtecnico
+include: eus_exams_es
+task: eus_exams_es_ejtecnico

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeayuntamientovitoria.yaml

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+# Generated by utils.py
+dataset_name: es_opeayuntamientovitoria
+include: eus_exams_es
+task: eus_exams_es_opeayuntamientovitoria

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opebilbao.yaml

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+# Generated by utils.py
+dataset_name: es_opebilbao
+include: eus_exams_es
+task: eus_exams_es_opebilbao

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeehuadmin.yaml

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+# Generated by utils.py
+dataset_name: es_opeehuadmin
+include: eus_exams_es
+task: eus_exams_es_opeehuadmin

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeehubiblio.yaml

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+# Generated by utils.py
+dataset_name: es_opeehubiblio
+include: eus_exams_es
+task: eus_exams_es_opeehubiblio

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeehuderecho.yaml

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+# Generated by utils.py
+dataset_name: es_opeehuderecho
+include: eus_exams_es
+task: eus_exams_es_opeehuderecho

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeehueconomicas.yaml

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+# Generated by utils.py
+dataset_name: es_opeehueconomicas
+include: eus_exams_es
+task: eus_exams_es_opeehueconomicas

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeehuempresariales.yaml

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+# Generated by utils.py
+dataset_name: es_opeehuempresariales
+include: eus_exams_es
+task: eus_exams_es_opeehuempresariales

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakiauxenf.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakiauxenf
+include: eus_exams_es
+task: eus_exams_es_opeosakiauxenf

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakicelador.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakicelador
+include: eus_exams_es
+task: eus_exams_es_opeosakicelador

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakijuridico.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakijuridico
+include: eus_exams_es
+task: eus_exams_es_opeosakijuridico

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakioperario.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakioperario
+include: eus_exams_es
+task: eus_exams_es_opeosakioperario

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakitecnico.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakitecnico
+include: eus_exams_es
+task: eus_exams_es_opeosakitecnico

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_opeosakivarios.yaml

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+# Generated by utils.py
+dataset_name: es_opeosakivarios
+include: eus_exams_es
+task: eus_exams_es_opeosakivarios

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza1c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza1c
+include: eus_exams_es
+task: eus_exams_es_osakidetza1c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza2c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza2c
+include: eus_exams_es
+task: eus_exams_es_osakidetza2c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza3c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza3c
+include: eus_exams_es
+task: eus_exams_es_osakidetza3c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza4c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza4c
+include: eus_exams_es
+task: eus_exams_es_osakidetza4c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza5c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza5c
+include: eus_exams_es
+task: eus_exams_es_osakidetza5c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza6c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza6c
+include: eus_exams_es
+task: eus_exams_es_osakidetza6c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_es_osakidetza9c.yaml

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+# Generated by utils.py
+dataset_name: es_osakidetza9c
+include: eus_exams_es
+task: eus_exams_es_osakidetza9c

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu

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+include: eus_exams
+group:
+  - eus_exams_eu
+doc_to_text: "Galdera: {{question}}\nA: {{candidates[0]}}\nB: {{candidates[1]}}\nC: {{candidates[2]}}\nD: {{candidates[3]}}\nErantzuna:"

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_ejlaguntza.yaml

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+# Generated by utils.py
+dataset_name: eu_ejlaguntza
+include: eus_exams_eu
+task: eus_exams_eu_ejlaguntza

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_ejlaguntzaile.yaml

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+# Generated by utils.py
+dataset_name: eu_ejlaguntzaile
+include: eus_exams_eu
+task: eus_exams_eu_ejlaguntzaile

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_ejteknikari.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_ejteknikari
+include: eus_exams_eu
+task: eus_exams_eu_ejteknikari

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opebilbaoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opebilbaoeu
+include: eus_exams_eu
+task: eus_exams_eu_opebilbaoeu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuadmineu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuadmineu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuadmineu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuauxeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuauxeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuauxeu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuderechoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuderechoeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuderechoeu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehueconomicaseu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehueconomicaseu
+include: eus_exams_eu
+task: eus_exams_eu_opeehueconomicaseu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehuempresarialeseu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehuempresarialeseu
+include: eus_exams_eu
+task: eus_exams_eu_opeehuempresarialeseu

lm-evaluation-harness/lm_eval/tasks/eus_exams/eus_exams_eu_opeehusubalternoeu.yaml

@@ -0,0 +1,4 @@
+# Generated by utils.py
+dataset_name: eu_opeehusubalternoeu
+include: eus_exams_eu
+task: eus_exams_eu_opeehusubalternoeu