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"""Frontier-CS: Evolving Challenges for Evolving Intelligence""" |
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import os |
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import datasets |
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_DESCRIPTION = """ |
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Frontier-CS is an unsolved, open-ended, verifiable, and diverse benchmark |
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for evaluating AI on challenging computer science problems. |
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""" |
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_HOMEPAGE = "https://frontier-cs.org" |
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_LICENSE = "Apache-2.0" |
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class FrontierCSConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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super().__init__(**kwargs) |
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class FrontierCS(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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FrontierCSConfig(name="algorithmic", description="118 algorithmic problems"), |
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FrontierCSConfig(name="research", description="63 research problems"), |
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FrontierCSConfig(name="all", description="All problems"), |
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] |
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DEFAULT_CONFIG_NAME = "all" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features({ |
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"problem_id": datasets.Value("string"), |
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"category": datasets.Value("string"), |
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"statement": datasets.Value("string"), |
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"config": datasets.Value("string"), |
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}), |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"config_name": self.config.name}, |
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), |
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] |
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def _generate_examples(self, config_name): |
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base_path = os.path.dirname(os.path.abspath(__file__)) |
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idx = 0 |
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if config_name in ["algorithmic", "all"]: |
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algo_path = os.path.join(base_path, "algorithmic", "problems") |
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if os.path.exists(algo_path): |
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for problem_id in sorted(os.listdir(algo_path)): |
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problem_dir = os.path.join(algo_path, problem_id) |
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if not os.path.isdir(problem_dir): |
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continue |
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statement = "" |
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config = "" |
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statement_file = os.path.join(problem_dir, "statement.txt") |
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if os.path.exists(statement_file): |
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with open(statement_file, "r", encoding="utf-8") as f: |
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statement = f.read() |
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config_file = os.path.join(problem_dir, "config.yaml") |
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if os.path.exists(config_file): |
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with open(config_file, "r", encoding="utf-8") as f: |
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config = f.read() |
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yield idx, { |
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"problem_id": problem_id, |
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"category": "algorithmic", |
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"statement": statement, |
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"config": config, |
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} |
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idx += 1 |
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if config_name in ["research", "all"]: |
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research_path = os.path.join(base_path, "research", "problems") |
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if os.path.exists(research_path): |
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for category in sorted(os.listdir(research_path)): |
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category_dir = os.path.join(research_path, category) |
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if not os.path.isdir(category_dir): |
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continue |
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readme_file = os.path.join(category_dir, "readme") |
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config_file = os.path.join(category_dir, "config.yaml") |
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if os.path.exists(readme_file) or os.path.exists(config_file): |
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statement = "" |
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config = "" |
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if os.path.exists(readme_file): |
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with open(readme_file, "r", encoding="utf-8") as f: |
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statement = f.read() |
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if os.path.exists(config_file): |
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with open(config_file, "r", encoding="utf-8") as f: |
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config = f.read() |
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yield idx, { |
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"problem_id": category, |
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"category": "research", |
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"statement": statement, |
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"config": config, |
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} |
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idx += 1 |
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else: |
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for subproblem in sorted(os.listdir(category_dir)): |
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subproblem_dir = os.path.join(category_dir, subproblem) |
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if not os.path.isdir(subproblem_dir): |
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continue |
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readme_file = os.path.join(subproblem_dir, "readme") |
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config_file = os.path.join(subproblem_dir, "config.yaml") |
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statement = "" |
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config = "" |
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if os.path.exists(readme_file): |
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with open(readme_file, "r", encoding="utf-8") as f: |
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statement = f.read() |
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if os.path.exists(config_file): |
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with open(config_file, "r", encoding="utf-8") as f: |
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config = f.read() |
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if statement or config: |
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yield idx, { |
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"problem_id": f"{category}/{subproblem}", |
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"category": "research", |
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"statement": statement, |
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"config": config, |
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} |
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idx += 1 |
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