aimo_evals.py

# MIT License

# Copyright (c) 2024 The HuggingFace Team

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# ruff: noqa: F405, F403, F401
"""
Task to evaluate LLMs on the training set of the Kaggle AIMO competition: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize
"""

from lighteval.tasks.lighteval_task import LightevalTaskConfig
from lighteval.tasks.requests import Doc


task = LightevalTaskConfig(
    name="aimo_progress_prize_1",
    prompt_function="aimo_prompt",
    suite=["community"],
    hf_subset="",
    hf_repo="lighteval/aimo_progress_prize_1",
    hf_avail_splits=["train"],
    evaluation_splits=["train"],
    few_shots_split="train",
    few_shots_select="sequential",
    metric=["quasi_exact_match_math"],
    generation_size=2048,
    stop_sequence=None,
)


def aimo_prompt(line, task_name: str = None):
    return Doc(
        task_name=task_name,
        choices=[str(line["answer"])],
        gold_index=0,
        query=line["problem"],
    )


# STORE YOUR EVALS
_TASKS = [task]


# MODULE LOGIC
# You should not need to touch this
# Convert to dict for lighteval
TASKS_TABLE = [task.as_dict() for task in _TASKS]

if __name__ == "__main__":
    print(t["name"] for t in TASKS_TABLE)
    print(len(TASKS_TABLE))