Datasets:
File size: 2,305 Bytes
69c079d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | """Load one checksum-verified histogram locally or from a Hugging Face dataset."""
import argparse
import csv
import hashlib
from pathlib import Path
import h5py
def main():
parser = argparse.ArgumentParser(description=__doc__)
source = parser.add_mutually_exclusive_group()
source.add_argument('--root', type=Path, default=Path(__file__).resolve().parents[1])
source.add_argument('--repo-id', help='Published Hugging Face dataset ID: owner/name')
parser.add_argument('--revision', default='main', help='Use a commit hash for reproducibility')
parser.add_argument('--source', choices=['synthetic', 'experimental'], default='experimental')
parser.add_argument('--fold', help='For example: fold_1')
parser.add_argument('--split', choices=['train', 'validation', 'test', 'unassigned'])
args = parser.parse_args()
def resolve(filename):
if args.repo_id:
from huggingface_hub import hf_hub_download
return Path(hf_hub_download(repo_id=args.repo_id, filename=filename,
repo_type='dataset', revision=args.revision))
return args.root / filename
with resolve('manifest.csv').open(newline='') as handle:
row = next((r for r in csv.DictReader(handle)
if r['source'] == args.source
and (not args.fold or r['fold'] == args.fold)
and (not args.split or r['split'] == args.split)), None)
if row is None:
parser.error('No sample matches the requested source, fold, and split')
filename = resolve(row['path'])
if hashlib.sha256(filename.read_bytes()).hexdigest() != row['sha256']:
raise ValueError(f'Checksum mismatch: {filename}')
with h5py.File(filename, 'r') as handle:
histogram = handle[row['h5_key']][()]
expected_shape = tuple(int(row[k]) for k in ('height', 'width', 'bins'))
if histogram.shape != expected_shape or str(histogram.dtype) != row['dtype']:
raise ValueError(f'Schema mismatch: {filename}')
print(f"{row['path']}\nlabel={row['label_name']} ({row['label']}), "
f"fold={row['fold'] or 'none'}, split={row['split']}\n"
f"shape={histogram.shape}, dtype={histogram.dtype}, sha256=verified")
if __name__ == '__main__':
main()
|