Datasets:
File size: 838 Bytes
0c91470 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | """Load the full anonymous benchmark locally; no network or credentials needed."""
from pathlib import Path
def load_benchmark(root=None, decode_images=True):
from datasets import load_dataset, Image, List
root=Path(root) if root else Path(__file__).resolve().parent
paths=sorted(str(path) for path in (root/'data').glob('test-*.parquet'))
if not paths:
raise FileNotFoundError('No benchmark Parquet shards in data/')
ds=load_dataset('parquet',data_files={'test':paths},split='test')
if not decode_images:
ds=ds.cast_column('images',List(Image(decode=False)))
return ds
if __name__=='__main__':
dataset=load_benchmark()
assert len(dataset)==3229
example=dataset[0]
print('Items:',len(dataset))
print('Example:',example['item_id'],example['task'],len(example['images']))
|