Download scripts/validate_dataset.py from Chucks90/eryon-data-pipelines: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Chucks90/eryon-data-pipelines/resolve/main/scripts/validate_dataset.py
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hf download hf://datasets/Chucks90/eryon-data-pipelines/scripts/validate_dataset.py
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curl -L -o validate_dataset.py https://huggingface.co/datasets/Chucks90/eryon-data-pipelines/resolve/main/scripts/validate_dataset.py
3.67 kB
| """ | |
| validate_dataset.py — ERYON dataset validation gate. | |
| Runs mandatory checks before a dataset becomes trainable: | |
| 1. Corruption scan — every PNG opens without error | |
| 2. Manifest validation — all required fields present, paths exist | |
| 3. Checksum verification — stored sha256 matches file on disk | |
| 4. Split completeness — every series_id in manifest has a split assignment | |
| Exits with code 1 if any check fails. Writes a JSON report to reports/validation/. | |
| Usage: | |
| python validate_dataset.py \\ | |
| --root /mnt/raw/lidc \\ | |
| --manifest manifests/lidc/manifest_v1.0.0.jsonl \\ | |
| --splits manifests/lidc/splits_v1.0.0.json \\ | |
| --out reports/validation/lidc_v1.0.0.json | |
| """ | |
| import argparse | |
| import hashlib | |
| import json | |
| import sys | |
| from pathlib import Path | |
| from PIL import Image | |
| REQUIRED_FIELDS = { | |
| "patient_id", "study_id", "series_id", "image_path", | |
| "modality", "split", "label", "dataset_version", | |
| "preprocessing_version", "sha256", | |
| } | |
| def sha256_file(path: Path) -> str: | |
| h = hashlib.sha256() | |
| with open(path, "rb") as f: | |
| for chunk in iter(lambda: f.read(65536), b""): | |
| h.update(chunk) | |
| return h.hexdigest() | |
| def validate(root: Path, manifest_path: Path, splits_path: Path) -> dict: | |
| records = [json.loads(l) for l in manifest_path.read_text().splitlines() if l.strip()] | |
| splits_data = json.loads(splits_path.read_text()) if splits_path else {} | |
| split_map = splits_data.get("splits", {}) if splits_data else {} | |
| errors: list[str] = [] | |
| warnings: list[str] = [] | |
| for i, rec in enumerate(records): | |
| missing = REQUIRED_FIELDS - rec.keys() | |
| if missing: | |
| errors.append(f"record {i}: missing fields {missing}") | |
| continue | |
| img_path = root / rec["image_path"] | |
| if not img_path.exists(): | |
| errors.append(f"record {i}: file not found {img_path}") | |
| continue | |
| # corruption check | |
| try: | |
| with Image.open(img_path) as img: | |
| img.verify() | |
| except Exception as exc: | |
| errors.append(f"record {i}: corrupt image {img_path}: {exc}") | |
| continue | |
| # checksum | |
| actual = sha256_file(img_path) | |
| if actual != rec["sha256"]: | |
| errors.append(f"record {i}: sha256 mismatch {rec['image_path']}") | |
| # split assignment | |
| if split_map and rec["series_id"] not in split_map: | |
| warnings.append(f"record {i}: series_id {rec['series_id']} has no split assignment") | |
| return { | |
| "total_records": len(records), | |
| "errors": errors, | |
| "warnings": warnings, | |
| "passed": len(errors) == 0, | |
| } | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("--root", required=True) | |
| parser.add_argument("--manifest", required=True) | |
| parser.add_argument("--splits", default=None) | |
| parser.add_argument("--out", required=True) | |
| args = parser.parse_args() | |
| result = validate( | |
| root=Path(args.root), | |
| manifest_path=Path(args.manifest), | |
| splits_path=Path(args.splits) if args.splits else None, | |
| ) | |
| out_path = Path(args.out) | |
| out_path.parent.mkdir(parents=True, exist_ok=True) | |
| out_path.write_text(json.dumps(result, indent=2)) | |
| status = "PASSED" if result["passed"] else "FAILED" | |
| print(f"Validation {status}: {len(result['errors'])} errors, {len(result['warnings'])} warnings") | |
| print(f"Report: {out_path}") | |
| if not result["passed"]: | |
| for e in result["errors"]: | |
| print(f" ERROR: {e}", file=sys.stderr) | |
| sys.exit(1) | |
| if __name__ == "__main__": | |
| main() | |