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

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# 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](https://modelscope.cn/datasets/evalscope/aime25/summary) |
| **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`
```json
{
"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:**
```text
Solve the following math problem step by step. Put your answer inside \boxed{{}}.
{question}
Remember to put your answer inside \boxed{{}}.
```
## Usage
### Using CLI
```bash
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
```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)
```