Datasets:
Download artifacts/rights_audit_2026-10/saos/verify.py from SlayerLab/polish-dynaword: direct link, hf CLI and curl.
- Browser
- Download file 2.08 kB
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https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/0783e5eb1e2eda3aab5edd4f76c7f85910e7ff3d/artifacts/rights_audit_2026-10/saos/verify.py
- Command line
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hf download hf://datasets/SlayerLab/polish-dynaword@0783e5eb1e2eda3aab5edd4f76c7f85910e7ff3d/artifacts/rights_audit_2026-10/saos/verify.py
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curl -L -o verify.py https://huggingface.co/datasets/SlayerLab/polish-dynaword/resolve/0783e5eb1e2eda3aab5edd4f76c7f85910e7ff3d/artifacts/rights_audit_2026-10/saos/verify.py
2.08 kB
| import pyarrow.parquet as pq, pandas as pd, random, re, json, html, unicodedata, difflib, subprocess, sys, time | |
| sys.path.insert(0,'src') | |
| P='data/saos/' | |
| f=pq.ParquetFile(P+'saos.parquet') | |
| a=pd.read_pickle('attr.pkl') | |
| random.seed(21) | |
| pick=[] | |
| for court,n in [('COMMON',3),('SUPREME',3),('NATIONAL_APPEAL_CHAMBER',2),('CONSTITUTIONAL_TRIBUNAL',2)]: | |
| sub=a[a.court==court] | |
| pick+= list(sub.sample(n,random_state=7).index) | |
| TR=str.maketrans({"\u00a0":" ","\u2007":" ","\u202f":" ","\u200b":"","\ufeff":"","\u00ad":"","\u2010":"-","\u2011":"-","\u2012":"-","\u2013":"-","\u2014":"-","\u2212":"-","\u2018":"'","\u2019":"'","\u201c":'"',"\u201d":'"',"\u2026":"..."}) | |
| def norm(s): | |
| s=unicodedata.normalize('NFKC',html.unescape(s)).translate(TR) | |
| s=re.sub(r'\[(?:PII:)?(?:PHONE|EMAIL|PESEL|IDENTIFIER|ACCOUNT)\]','',s) | |
| return re.sub(r'\s+',' ',s).strip() | |
| def strip_html(h): | |
| h=re.sub(r'<br\s*/?>|</p>|</div>|</h\d>|</tr>|</li>','\n',h) | |
| h=re.sub(r'<[^>]+>','',h) | |
| return h | |
| out=[] | |
| for idx in pick: | |
| import numpy as np | |
| st=np.load('rgstart.npy'); rg=int(np.searchsorted(st,idx,side='right')-1) | |
| t=f.read_row_group(rg,columns=['id','text']).to_pandas() | |
| row=t.iloc[idx-st[rg]] | |
| sid=row.id.replace('saos_','') | |
| r=subprocess.run(['curl','-sL','-m','60',f'https://www.saos.org.pl/api/judgments/{sid}'],capture_output=True,text=True) | |
| try: d=json.loads(r.stdout)['data'] | |
| except Exception as e: print(sid,'FETCH FAIL',r.stdout[:200]); continue | |
| live=norm(strip_html(d['textContent'] or '')) | |
| mine=norm(row.text) | |
| sm=difflib.SequenceMatcher(None,live,mine,autojunk=False) if len(live)<70000 and len(mine)<70000 else None | |
| ratio=sm.ratio() if sm else None | |
| print(sid,a.court[idx],a.jt[idx],'len live',len(live),'len snap',len(mine),'equal',live==mine,'ratio',ratio, 'live_summary',bool(d.get('summary')),'decision',bool(d.get('decision'))) | |
| if live!=mine and sm: | |
| for tag,i1,i2,j1,j2 in sm.get_opcodes(): | |
| if tag!='equal': print(' ',tag,repr(live[i1:i2][:80]),'->',repr(mine[j1:j2][:80])) | |
| time.sleep(0.5) | |