Download scripts/split_data.py from nima1/decisioncraft-data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/nima1/decisioncraft-data/resolve/main/scripts/split_data.py
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hf download hf://datasets/nima1/decisioncraft-data/scripts/split_data.py
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curl -L -o split_data.py https://huggingface.co/datasets/nima1/decisioncraft-data/resolve/main/scripts/split_data.py
685 Bytes
| """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() | |