Files
reasoning-gym/eval/dry_run.py
Zafir Stojanovski dced3bfc45 fix(curriculum): Make boundaries in curriculum more sensible (#407)
* init

* fix tests

* unify codeio

* filtered for libraries not present in reasoning-gym

* fix more bounds

* puzzle24

* knight swap curriculum

* fix number sorting

* fix attributes

* add validation of config in creation of dataset

* dry run for instantiating and validating the datasets

* remove unused imports

* fix curriculum tests to reference newly updated attribute names
2025-04-04 20:24:14 +02:00

30 lines
900 B
Python
Executable File

import argparse
from eval_config import EvalConfig
import reasoning_gym
def main():
argparser = argparse.ArgumentParser(description="Evaluate reasoning gym datasets.")
argparser.add_argument("--config", type=str, required=True, help="Path to the config file.")
args = argparser.parse_args()
config_path = args.config
if config_path.endswith(".yaml") or config_path.endswith(".yml"):
config = EvalConfig.from_yaml(config_path)
elif config_path.endswith(".json"):
config = EvalConfig.from_json(config_path)
else:
print("Error: Configuration file must be YAML or JSON")
return 1
for category in config.categories:
for dataset in category.datasets:
rg_dataset = reasoning_gym.create_dataset(dataset.dataset, size=10, seed=42, **dataset.params)
print(rg_dataset)
if __name__ == "__main__":
main()