decisioncraft-data / scripts /split_data.py
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Release reviewed synthetic Decisioncraft study and reproducible artifacts
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"""Freeze deterministic scenario-group partitions from reviewed authored source data."""
import argparse
import json
from pathlib import Path
from decisioncraft.data import split_dataset
def main() -> None:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--source", type=Path, required=True)
parser.add_argument("--config", type=Path, required=True)
parser.add_argument("--output", type=Path, required=True)
args = parser.parse_args()
manifest = split_dataset(args.source, args.config, args.output)
print(json.dumps({"dataset": str(args.output), "audit": manifest["audit"]}, indent=2))
if __name__ == "__main__":
main()