| --- |
| 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 |
|
|
