"""Validate an benchmark inputs and published per-example results.""" import collections import hashlib import json from pathlib import Path import pyarrow.parquet as pq from huggingface_hub import DatasetCard ROOT=Path(__file__).resolve().parents[1] VARIANTS=('original','reversed','serialization_control') FORBIDDEN={'predicted_label','chosen_key','correct','confidence','probability_0','probability_1','response_id','evaluated'} def validate(root=ROOT): manifest=json.loads((root/'SHA256SUMS.json').read_text()) actual={str(p.relative_to(root)) for p in root.rglob('*') if p.is_file() and p.name!='SHA256SUMS.json' and '__pycache__' not in p.parts} assert actual==set(manifest),'Unlisted or missing publication files' for name,checksum in manifest.items(): assert hashlib.sha256((root/name).read_bytes()).hexdigest()==checksum,name card=DatasetCard.load(str(root/'README.md')) assert {c['config_name'] for c in card.data.configs}=={'requests','case_index','model_results'} configs={c['config_name']:c['data_files'] for c in card.data.configs} assert configs['requests']==[dict(split=v,path=f'data/requests-{v}.parquet') for v in VARIANTS] assert configs['case_index']==[dict(split='cases',path='data/case-index.parquet')] expected={f'data/requests-{v}.parquet' for v in VARIANTS}|{'data/case-index.parquet'} result_counts=dict(original=415827,reversed=415827,serialization_control=83183,repeat=246313,unsupported=352) expected.update(f'data/model-results-{v}.parquet' for v in result_counts) assert configs['model_results']==[dict(split=v,path=f'data/model-results-{v}.parquet') for v in result_counts] for variant,count in result_counts.items(): assert pq.ParquetFile(root/f'data/model-results-{variant}.parquet').metadata.num_rows==count assert {name for name in manifest if name.startswith('data/')}==expected tables={} for variant in VARIANTS: table=pq.read_table(root/'data'/f'requests-{variant}.parquet') assert not FORBIDDEN.intersection(table.column_names) assert table.num_rows==83183 tables[variant]=table.to_pylist() original={r['pair_id']:r for r in tables['original']} assert len(original)==83183 for i,a in enumerate(tables['original']): b=tables['reversed'][i];c=tables['serialization_control'][i] for row in [a,b,c]: assert row['pair_id']==a['pair_id'] and row['state']==a['state'] assert row['instruction']==a['instruction'] and row['gold_label']==a['gold_label'] assert row['state_available'] and row['state'] assert hashlib.sha256(row['state'].encode()).hexdigest()==row['state_sha256'] assert next(o['semantic_label'] for o in row['options'] if o['key']==row['gold_key'])==row['gold_label'] assert [o['key'] for o in a['options']]==[o['key'] for o in b['options']]==['A','B'] assert [o['text'] for o in a['options']]==[o['text'] for o in b['options']][::-1] assert a['options']==c['options'][::-1] groups=collections.defaultdict(list) for row in original.values():groups[row['state_sha256']].append(row) index=pq.read_table(root/'data/case-index.parquet') assert not FORBIDDEN.intersection(index.column_names) rows=index.to_pylist();assert len(rows)==83183 and len({r['pair_id'] for r in rows})==83183 for row in rows: source=original[row['pair_id']];group=groups[source['state_sha256']] assert row['content_group_id']==source['state_sha256'] assert row['benchmark']==source['benchmark'] and row['duplicate_rows']==len(group) assert row['duplicate_benchmarks']==sorted({r['benchmark'] for r in group}) assert row['label_conflict']==(len({r['gold_label'] for r in group})>1) assert row['rubric_conflict']==(len({r['instruction'] for r in group})>1) text=(root/'README.md').read_text() for section in ['## Results','### Correct answers: original options','### Wrong answers: original options', '### Correct answers: reversed options','### Correct answers: order-only test', '### Did changing the options change the answer?','### Results at a glance']: assert section in text for name in ['Original Jev','CLM','Laya','Open-Jev','Laya Multilingual']:assert name in text return dict(passed=True,request_rows=249549,case_index_rows=83183, model_result_dataset_rows=1161502,result_location='model_results and README.md', full_text_harmbench_rows_per_variant=sum(r['benchmark'].startswith('HarmBench') for r in original.values()), checksum_files=len(manifest)) if __name__=='__main__':print(json.dumps(validate(),indent=2))