SoftElo / code /check_reference.py
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Add LMArena judge annotations and Soft-Elo reproduction package
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"""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')