| 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 262 problems across three categories: | |
| - **Algorithmic**: 188 competitive programming problems with automated judging | |
| - **Research**: 66 open-ended research problems | |
| - **2.0**: 8 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 | |