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license: apache-2.0
task_categories:
- text-generation
language:
- en
tags:
- code
- algorithms
- competitive-programming
- research
- frontier-cs-2.0
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: test
path: data/test-*.json
---
# Frontier-CS Dataset
A benchmark dataset for evaluating AI systems on challenging computer science problems.
## Dataset Description
This dataset contains 264 problems across three categories:
- **Algorithmic**: 188 competitive programming problems with automated judging
- **Research**: 66 open-ended research problems
- **2.0**: 10 next-generation open-ended optimization problems
## Dataset Structure
Each problem has the following fields:
- `problem_id`: Unique identifier for the problem
- `category`: One of "algorithmic", "research", or "2.0"
- `statement`: The problem statement text
- `config`: YAML configuration for evaluation
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("FrontierCS/Frontier-CS")
```
## License
Apache 2.0
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