README.md

---
configs:
- config_name: default
  data_files:
  - split: test
    path: "usaco_2025.parquet"
---
## USACO 2025 Open Contest Dataset

### Dataset Description
The USA Computing Olympiad (USACO) is a prestigious algorithmic programming competition for high school students in the United States, consisting of four difficulty levels: Bronze, Silver, Gold, and Platinum. Each level contains a set of challenging problems that test algorithmic thinking and implementation skills, making USACO a valuable benchmark for evaluating the reasoning and problem-solving capabilities of large language models. This dataset contains problems and test cases from the USACO 2025 Open Contest. 

### Data Fields

Each problem in the parquet file contains:
- `name`: Contest and difficulty level
- `problem_link`: Official USACO problem link
- `test_data_link`: Link to test data
- `solution_link`: Link to official solution
- `problem_level`: Difficulty level (bronze/silver/gold/platinum)
- `description`: Full problem statement
- `input_format`: Input specification
- `output_format`: Output specification
- `samples`: Sample test cases included in problem description
- `runtime_limit`: Time limit in seconds
- `memory_limit`: Memory limit in MB
- `solution`: Official solution with explanation

### Source Data

Data was collected from the official USACO contest platform `https://usaco.org//index.php?page=open25results`, copyright not specified.

### Citation

If you use this dataset, please cite:

```bibtex
@misc{liu2025rstarcoderscalingcompetitivecode,
      title={rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset}, 
      author={Yifei Liu and Li Lyna Zhang and Yi Zhu and Bingcheng Dong and Xudong Zhou and Ning Shang and Fan Yang and Mao Yang},
      year={2025},
      eprint={2505.21297},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2505.21297}, 
}