| import json,re,collections,difflib |
| def norm_cmd(c): |
| c=re.sub(r'^\[[^\]]+\]\s*','',c); c=c.replace('\\"','"'); return c.strip() |
| def tmpl(s): return re.sub(r'\d+','N',s.lower()) |
| stats=collections.Counter() |
| for sp in ['train','val','test']: |
| rows=[json.loads(l) for l in open(f'train/intent_v1/{sp}.jsonl')] |
| out=[];seen=set() |
| for r in rows: |
| c=norm_cmd(r['command']) |
| if c!=r['command']: stats['cmd_normalized']+=1 |
| r['command_original']=r['command']; r['command']=c |
| it=r['intent'].strip() |
| |
| ct=set(re.findall(r'[a-z0-9]+',c.lower())); itok=re.findall(r'[a-z0-9]+',it.lower()) |
| if difflib.SequenceMatcher(None,it.lower(),c.lower()).ratio()>0.85 or (itok and all(t in ct for t in itok)): |
| stats['restate']+=1;continue |
| k=(r['vendor'],tmpl(c)) |
| if k in seen: stats['templated_dup']+=1;continue |
| seen.add(k); out.append(r) |
| with open(f'train/intent_v1.1/{sp}.jsonl','w') as f: |
| for r in out: f.write(json.dumps(r)+'\n') |
| stats[sp]=len(out) |
| print(dict(stats)) |
|
|
