2026-07-08 08:57:50 +00:00

2.7 KiB

AIME-2025

Overview

AIME 2025 (American Invitational Mathematics Examination 2025) is a benchmark based on problems from the prestigious AIME competition, one of the most challenging high school mathematics contests in the United States. It tests advanced mathematical reasoning and problem-solving skills.

Task Description

  • Task Type: Competition Mathematics Problem Solving
  • Input: AIME-level mathematical problem
  • Output: Integer answer (0-999) with step-by-step reasoning
  • Difficulty: Advanced high school / early undergraduate level

Key Features

  • Problems from AIME I and AIME II 2025 competitions
  • Answers are always integers between 0 and 999
  • Requires creative mathematical reasoning and problem-solving
  • Topics: algebra, geometry, number theory, combinatorics, probability
  • Represents top-tier high school mathematics competition difficulty

Evaluation Notes

  • Default configuration uses 0-shot evaluation
  • Answers should be formatted within \boxed{} for proper extraction
  • Uses LLM-as-judge for mathematical equivalence checking

Properties

Property Value
Benchmark Name aime25
Dataset ID evalscope/aime25
Paper N/A
Tags Math, Reasoning
Metrics acc
Default Shots 0-shot
Evaluation Split test

Data Statistics

Metric Value
Total Samples 30
Prompt Length (Mean) 604.93 chars
Prompt Length (Min/Max) 208 / 1862 chars

Sample Example

Subset: default

{
  "input": [
    {
      "id": "bff66863",
      "content": "\nSolve the following math problem step by step. Put your answer inside \\boxed{}.\n\nFind the sum of all integer bases $b>9$ for which $17_b$ is a divisor of $97_b.$\n\nRemember to put your answer inside \\boxed{}."
    }
  ],
  "target": "70",
  "id": 0,
  "group_id": 0
}

Prompt Template

Prompt Template:


Solve the following math problem step by step. Put your answer inside \boxed{{}}.

{question}

Remember to put your answer inside \boxed{{}}.

Usage

Using CLI

evalscope eval \
    --model YOUR_MODEL \
    --api-url OPENAI_API_COMPAT_URL \
    --api-key EMPTY_TOKEN \
    --datasets aime25 \
    --limit 10  # Remove this line for formal evaluation

Using Python

from evalscope import run_task
from evalscope.config import TaskConfig

task_cfg = TaskConfig(
    model='YOUR_MODEL',
    api_url='OPENAI_API_COMPAT_URL',
    api_key='EMPTY_TOKEN',
    datasets=['aime25'],
    limit=10,  # Remove this line for formal evaluation
)

run_task(task_cfg=task_cfg)