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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},
}
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