load_benchmark.py

"""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']))