| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - text-generation |
| | language: |
| | - en |
| | tags: |
| | - code |
| | - algorithms |
| | - competitive-programming |
| | - research |
| | size_categories: |
| | - n<1K |
| | --- |
| | |
| | # Frontier-CS Dataset |
| |
|
| | A benchmark dataset for evaluating AI systems on challenging computer science problems. |
| |
|
| | ## Dataset Description |
| |
|
| | This dataset contains 238 problems across two categories: |
| | - **Algorithmic**: 172 competitive programming problems with automated judging |
| | - **Research**: 66 open-ended research problems |
| |
|
| | ## Dataset Structure |
| |
|
| | Each problem has the following fields: |
| | - `problem_id`: Unique identifier for the problem |
| | - `category`: Either "algorithmic" or "research" |
| | - `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 |
| |
|
