118 lines
2.6 KiB
Markdown
118 lines
2.6 KiB
Markdown
# HMMT25
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## Overview
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HMMT February 2025 (MathArena) is a challenging evaluation benchmark derived from the Harvard-MIT Mathematics Tournament (HMMT) February 2025 competition, one of the most prestigious and difficult high school math contests globally.
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## Task Description
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- **Task Type**: Competition Mathematics Problem Solving
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- **Input**: HMMT-level mathematical problem
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- **Output**: Answer with step-by-step reasoning
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- **Difficulty**: Advanced high school competition level
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## Key Features
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- Problems from HMMT February 2025 competition
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- Four primary domains: Algebra, Combinatorics, Geometry, Number Theory
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- Highly challenging competition-level problems
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- Tests advanced mathematical reasoning
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- Represents elite high school mathematics difficulty
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## Evaluation Notes
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- Default configuration uses **0-shot** evaluation
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- Answers should be formatted within `\boxed{}` for proper extraction
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- Numeric accuracy metric
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- Problems span multiple mathematical domains
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## Properties
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| Property | Value |
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|----------|-------|
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| **Benchmark Name** | `hmmt25` |
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| **Dataset ID** | [evalscope/hmmt_feb_2025](https://modelscope.cn/datasets/evalscope/hmmt_feb_2025/summary) |
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| **Paper** | N/A |
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| **Tags** | `Math`, `Reasoning` |
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| **Metrics** | `acc` |
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| **Default Shots** | 0-shot |
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| **Evaluation Split** | `train` |
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## Data Statistics
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| Metric | Value |
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|--------|-------|
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| Total Samples | 30 |
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| Prompt Length (Mean) | 410.53 chars |
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| Prompt Length (Min/Max) | 173 / 1594 chars |
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## Sample Example
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**Subset**: `default`
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```json
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{
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"input": [
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{
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"id": "fb6fb4e8",
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"content": "Problem:\nCompute the sum of the positive divisors (including $1$) of $9!$ that have units digit $1$.\n\nPlease reason step by step, and put your final answer within \\boxed{}.\n"
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}
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],
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"target": "103",
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"id": 0,
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"group_id": 0,
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"metadata": {
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"problem_idx": 1,
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"problem_type": [
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"Number Theory"
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]
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}
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}
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```
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## Prompt Template
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**Prompt Template:**
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```text
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Problem:
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{question}
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Please reason step by step, and put your final answer within \boxed{{}}.
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```
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## Usage
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### Using CLI
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```bash
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evalscope eval \
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--model YOUR_MODEL \
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--api-url OPENAI_API_COMPAT_URL \
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--api-key EMPTY_TOKEN \
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--datasets hmmt25 \
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--limit 10 # Remove this line for formal evaluation
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```
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### Using Python
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```python
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from evalscope import run_task
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from evalscope.config import TaskConfig
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task_cfg = TaskConfig(
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model='YOUR_MODEL',
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api_url='OPENAI_API_COMPAT_URL',
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api_key='EMPTY_TOKEN',
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datasets=['hmmt25'],
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limit=10, # Remove this line for formal evaluation
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)
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run_task(task_cfg=task_cfg)
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```
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