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