Adding OZ Eval task (#225)

---------

Co-authored-by: Clémentine Fourrier <[email protected]>
Co-authored-by: Nathan Habib <[email protected]>

Author: 3 people

community_tasks/oz_evals.py

@@ -0,0 +1,94 @@
+# MIT License
+
+# Copyright (c) 2024 The HuggingFace Team
+
+# Permission is hereby granted, free of charge, to any person obtaining a copy
+# of this software and associated documentation files (the "Software"), to deal
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+
+# The above copyright notice and this permission notice shall be included in all
+# copies or substantial portions of the Software.
+
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+# SOFTWARE.
+
+# ruff: noqa: F405, F403, F401
+"""
+Custom evaluation tasks for lighteval.
+
+This file generally creates just a TASKS_TABLE and TASKS_GROUPS which are then imported by LightEval.
+
+OZ Eval (sr. Opšte Znanje Evaluacija) dataset was created for the purposes of evaluating General Knowledge of LLM models in Serbian language.
+Data consists of 1k+ high-quality questions and answers which were used as part of entry exams at the Faculty of Philosophy and Faculty of Organizational Sciences, University of Belgrade.
+The exams test the General Knowledge of students and were used in the enrollment periods from 2003 to 2024.
+For more details and results see: https://huggingface.co/datasets/DjMel/oz-eval
+
+In order to have comparable results to ours, please do not forget to run with --use_chat_template
+"""
+
+from lighteval.metrics.metrics import Metrics
+from lighteval.tasks.lighteval_task import LightevalTaskConfig
+from lighteval.tasks.requests import Doc
+
+
+def prompt_fn_oz_eval_task(line, task_name: str = None):
+    query_template = """Pitanje: {question}\n
+    Ponuđeni odgovori:
+    A. {choice_a}
+    B. {choice_b}
+    C. {choice_c}
+    D. {choice_d}
+    E. {choice_e}
+
+    Krajnji odgovor:"""
+
+    options = line["options"]
+
+    query = query_template.format(
+        question=line["questions"],
+        choice_a=options[0],
+        choice_b=options[1],
+        choice_c=options[2],
+        choice_d=options[3],
+        choice_e=options[4],
+    )
+
+    choices = ["A", "B", "C", "D", "E"]
+    return Doc(
+        task_name=task_name,
+        query=query,
+        choices=choices,
+        gold_index=choices.index(line["answer"]),
+    )
+
+
+oz_eval_task = LightevalTaskConfig(
+    name="serbian_evals:oz_task",
+    prompt_function=prompt_fn_oz_eval_task,
+    suite=["community"],
+    hf_repo="DjMel/oz-eval",
+    hf_subset="default",
+    hf_avail_splits=["test"],
+    evaluation_splits=["test"],
+    few_shots_split=None,
+    few_shots_select=None,
+    metric=[Metrics.loglikelihood_acc],
+    version=0,
+)
+
+
+# STORE YOUR EVALS
+TASKS_TABLE = [oz_eval_task]
+
+
+if __name__ == "__main__":
+    print(t["name"] for t in TASKS_TABLE)
+    print(len(TASKS_TABLE))