Datasets:
File size: 1,983 Bytes
7a506c9 afa3a0e 7a506c9 | 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 | """Verify non-streaming HF loading, schemas and counts for every release config.
Requires datasets. Local loading performs no model/API calls. The cache can be
deleted after checking. This catches reserved split names and shard-schema drift.
"""
import argparse
import hashlib
import importlib.metadata
import json
import platform
from pathlib import Path
from datasets import load_dataset
def validate(release, cache):
expected={
'requests':{v:83183 for v in ['original','reversed','serialization_control']},
'case_index':{'cases':83183},
'model_results':dict(original=415827,reversed=415827,serialization_control=83183,repeat=246313,unsupported=352),
}
observed={}
for config, counts in expected.items():
dataset=load_dataset(str(release.resolve()),name=config,cache_dir=str(cache))
actual={split:len(rows) for split,rows in dataset.items()}
assert actual==counts,(config,actual,counts)
observed[config]=actual
print(config,'PASS',actual,flush=True)
files=[release/'README.md',*sorted((release/'data').glob('*.parquet'))]
return dict(passed=True,mode='non-streaming full local load',configurations=observed,
validation_environment=dict(python=platform.python_version(),
packages={p:importlib.metadata.version(p) for p in ['datasets','pyarrow','huggingface_hub']}),
validated_file_sha256={str(p.relative_to(release)):hashlib.sha256(p.read_bytes()).hexdigest() for p in files})
if __name__=='__main__':
parser=argparse.ArgumentParser(description=__doc__)
parser.add_argument('--release',type=Path,default=Path(__file__).resolve().parents[1])
parser.add_argument('--cache',type=Path,default=Path('/tmp/jev-release-dataset-cache'))
parser.add_argument('--output',type=Path)
args=parser.parse_args()
report=validate(args.release,args.cache)
if args.output:args.output.write_text(json.dumps(report,indent=2)+'\n')
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