""" split_dataset.py — ERYON reproducible train/val/test splitter. Splits at the PATIENT level (not slice level) to prevent leakage. Writes a splits.json: {series_id: "train" | "val" | "test"}. Ratios default to 70/15/15. Seed is fixed and written into the output so splits can be reproduced exactly from the JSON alone. Usage: python split_dataset.py \\ --manifest manifests/lidc/manifest_v1.0.0.jsonl \\ --train 0.70 --val 0.15 --test 0.15 \\ --seed 42 \\ --out manifests/lidc/splits_v1.0.0.json """ import argparse import json import random from collections import defaultdict from pathlib import Path def load_manifest(path: Path) -> list[dict]: return [json.loads(line) for line in path.read_text().splitlines() if line.strip()] def split_patients( records: list[dict], train_ratio: float, val_ratio: float, seed: int, ) -> dict[str, str]: patient_to_series: dict[str, set] = defaultdict(set) for r in records: patient_to_series[r["patient_id"]].add(r["series_id"]) patients = sorted(patient_to_series.keys()) rng = random.Random(seed) rng.shuffle(patients) n = len(patients) n_train = int(n * train_ratio) n_val = int(n * val_ratio) train_patients = set(patients[:n_train]) val_patients = set(patients[n_train : n_train + n_val]) test_patients = set(patients[n_train + n_val :]) series_split: dict[str, str] = {} for pid, series_set in patient_to_series.items(): if pid in train_patients: split = "train" elif pid in val_patients: split = "val" else: split = "test" for sid in series_set: series_split[sid] = split return series_split def main() -> None: parser = argparse.ArgumentParser() parser.add_argument("--manifest", required=True) parser.add_argument("--train", type=float, default=0.70) parser.add_argument("--val", type=float, default=0.15) parser.add_argument("--test", type=float, default=0.15) parser.add_argument("--seed", type=int, default=42) parser.add_argument("--out", required=True) args = parser.parse_args() assert abs(args.train + args.val + args.test - 1.0) < 1e-6, "Ratios must sum to 1.0" records = load_manifest(Path(args.manifest)) splits = split_patients(records, args.train, args.val, args.seed) out = { "seed": args.seed, "ratios": {"train": args.train, "val": args.val, "test": args.test}, "splits": splits, } out_path = Path(args.out) out_path.parent.mkdir(parents=True, exist_ok=True) out_path.write_text(json.dumps(out, indent=2)) counts = {"train": 0, "val": 0, "test": 0} for s in splits.values(): counts[s] += 1 print(f"Split complete: {counts} → {out_path}") if __name__ == "__main__": main()