File size: 1,051 Bytes
c80f404 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | 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()
# restate: intent tokens mostly == command tokens
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))
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