mp20 / scripts /validate_mp20.py
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#!/usr/bin/env python3
"""Validate the standardized OneScience MP-20 dataset package."""
from __future__ import annotations
import argparse
import csv
import hashlib
import json
import sys
from pathlib import Path
import numpy as np
EXPECTED_SPLITS = {"train": 27136, "val": 9047, "test": 9046}
REQUIRED_COLUMNS = {
"material_id",
"formation_energy_per_atom",
"dft_band_gap",
"pretty_formula",
"elements",
"cif",
"spacegroup_number",
"dft_bulk_modulus",
"dft_mag_density",
}
REQUIRED_ARRAYS = {
"atomic_numbers.npy",
"cell.npy",
"num_atoms.npy",
"pos.npy",
"structure_id.npy",
}
PROPERTY_FILES = {
"formation_energy_per_atom.json",
"dft_band_gap.json",
"dft_bulk_modulus.json",
"dft_mag_density.json",
}
def require_file(path: Path) -> None:
if not path.is_file():
raise FileNotFoundError(f"missing file: {path}")
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
with path.open("rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def validate_csv(path: Path, expected_rows: int) -> None:
require_file(path)
with path.open(encoding="utf-8", newline="") as handle:
reader = csv.DictReader(handle)
columns = set(reader.fieldnames or [])
missing = REQUIRED_COLUMNS - columns
if missing:
raise ValueError(f"missing CSV columns in {path}: {sorted(missing)}")
rows = sum(1 for _ in reader)
if rows != expected_rows:
raise ValueError(f"unexpected CSV rows in {path}: {rows} != {expected_rows}")
def validate_cache(path: Path, expected_structures: int) -> None:
for name in REQUIRED_ARRAYS | PROPERTY_FILES:
require_file(path / name)
atomic_numbers = np.load(path / "atomic_numbers.npy", mmap_mode="r", allow_pickle=False)
cells = np.load(path / "cell.npy", mmap_mode="r", allow_pickle=False)
num_atoms = np.load(path / "num_atoms.npy", mmap_mode="r", allow_pickle=False)
positions = np.load(path / "pos.npy", mmap_mode="r", allow_pickle=False)
structure_ids = np.load(path / "structure_id.npy", mmap_mode="r", allow_pickle=False)
if cells.shape != (expected_structures, 3, 3):
raise ValueError(f"unexpected cell shape in {path}: {cells.shape}")
if num_atoms.shape != (expected_structures,):
raise ValueError(f"unexpected num_atoms shape in {path}: {num_atoms.shape}")
if structure_ids.shape != (expected_structures,):
raise ValueError(f"unexpected structure_id shape in {path}: {structure_ids.shape}")
total_atoms = int(num_atoms.sum())
if atomic_numbers.shape != (total_atoms,):
raise ValueError(f"atomic_numbers and num_atoms disagree in {path}")
if positions.shape != (total_atoms, 3):
raise ValueError(f"positions and num_atoms disagree in {path}")
for name in PROPERTY_FILES:
payload = json.loads((path / name).read_text(encoding="utf-8"))
if len(payload.get("values", [])) != expected_structures:
raise ValueError(f"unexpected property length in {path / name}")
def read_checksum_manifest(path: Path) -> list[tuple[str, str]]:
require_file(path)
entries: list[tuple[str, str]] = []
with path.open(encoding="utf-8") as handle:
for line_no, raw in enumerate(handle, start=1):
line = raw.strip()
if not line:
continue
parts = line.split(None, 1)
if len(parts) != 2:
raise ValueError(f"invalid checksum line {line_no}: {raw!r}")
entries.append((parts[0], parts[1]))
return entries
def validate_checksums(package_root: Path, manifest_path: Path) -> int:
entries = read_checksum_manifest(manifest_path)
for expected_hash, relative_path in entries:
target = package_root / relative_path
require_file(target)
if sha256_file(target) != expected_hash:
raise ValueError(f"checksum mismatch: {relative_path}")
return len(entries)
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--dataset-root", default="data/MP20")
parser.add_argument("--checksum-manifest", default="metadata/sha256_manifest.txt")
parser.add_argument("--skip-checksum", action="store_true")
args = parser.parse_args()
package_root = Path.cwd()
dataset_root = Path(args.dataset_root)
raw_root = dataset_root / "raw/mp_20"
cache_root = dataset_root / "cache/mp_20"
for split, expected_count in EXPECTED_SPLITS.items():
validate_csv(raw_root / f"{split}.csv", expected_count)
validate_cache(cache_root / split, expected_count)
checksum_count = 0
if not args.skip_checksum:
checksum_count = validate_checksums(package_root, Path(args.checksum_manifest))
print("MP-20 dataset validation passed")
print(f"structures: {sum(EXPECTED_SPLITS.values())}")
print(f"splits: {EXPECTED_SPLITS}")
print(f"checksum entries verified: {checksum_count}")
return 0
if __name__ == "__main__":
try:
raise SystemExit(main())
except Exception as exc:
print(f"MP-20 dataset validation failed: {exc}", file=sys.stderr)
raise SystemExit(1)