Datasets:

FrontierCS
/

Frontier-CS

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 267 problems across three categories:

Algorithmic: 180 competitive programming problems with automated judging
Research: 66 open-ended research problems
2.0: 21 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

from datasets import load_dataset

dataset = load_dataset("FrontierCS/Frontier-CS")

License

Apache 2.0