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2.54 kB
| """Rerun one complete judge and compare every held-out rating to the archive.""" | |
| import argparse | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import numpy as np | |
| import pandas as pd | |
| from softelo_release.data import load_annotations | |
| from softelo_release.reproduce import run_point_estimates | |
| p=argparse.ArgumentParser(description=__doc__) | |
| p.add_argument('--data',type=Path,required=True) | |
| p.add_argument('--manifest-sha256',required=True) | |
| p.add_argument('--judge',default='GPT-OSS-120B') | |
| p.add_argument('--slug',default='gpt_oss_120b') | |
| a=p.parse_args() | |
| manifest=a.data/'manifest.json' | |
| if hashlib.sha256(manifest.read_bytes()).hexdigest()!=a.manifest_sha256: | |
| raise ValueError('Dataset manifest changed after verification recipe was recorded') | |
| md=json.loads(manifest.read_text()) | |
| spec=next(r for r in md['annotations'] if r['corpus']=='lmarena100k' and r['judge']==a.judge) | |
| if hashlib.sha256((a.data/spec['file']).read_bytes()).hexdigest()!=spec['sha256']: | |
| raise ValueError('Annotation checksum differs') | |
| print(json.dumps({'judge':a.judge,'corpus':'lmarena100k','protocol':'main91_strict_loo', | |
| 'manifest_sha256':a.manifest_sha256,'annotation_sha256':spec['sha256']}),flush=True) | |
| frame=load_annotations(a.data,corpus='lmarena100k',judge=a.judge) | |
| print(f'Loaded {len(frame)} valid annotation rows',flush=True) | |
| summary, detail=run_point_estimates(frame) | |
| expected=pd.read_csv(a.data/'results/main91'/a.slug/'heldout_models_decisive.csv') | |
| expected=expected[expected.method.isin(['hard','temperature_mle'])] | |
| keys=['method','model'];left=detail.set_index(keys).sort_index();right=expected.set_index(keys).sort_index() | |
| if not left.index.equals(right.index):raise ValueError('Held-out model sets differ') | |
| metrics={} | |
| for column in ['judge_bt_elo','human_bt_elo','temperature']: | |
| x=left[column].to_numpy(float);y=right[column].to_numpy(float) | |
| metrics[column+'_max_abs_difference']=float(np.nanmax(np.abs(x-y))) | |
| if not np.allclose(x,y,rtol=0,atol=1e-5,equal_nan=True): | |
| print(json.dumps(metrics),flush=True) | |
| raise ValueError(f'Numerical reproduction differs for {column}') | |
| print(summary.to_string(index=False),flush=True) | |
| print(json.dumps({'passed':True,'heldout_rows':len(detail),**metrics}),flush=True) | |
| Path('release-check-output').mkdir(exist_ok=True) | |
| summary.to_csv('release-check-output/summary.csv',index=False) | |
| detail.to_csv('release-check-output/heldout_models.csv',index=False) | |
| Path('release-check-output/validation.json').write_text(json.dumps({'passed':True,**metrics},indent=2)+'\n') | |