| """Encode the assistant's text-only inspection; never a human accuracy audit.""" |
| from pathlib import Path |
| import csv,json,collections |
| ROOT=Path(__file__).resolve().parents[1];path=ROOT/'review/parser_audit_122.csv' |
| rows=list(csv.DictReader(path.open())) |
| labels={ |
| 'exact_cardinality_lost':[3,5,14,18,22,25,26,39,41,43,47,50,52,53,62,63,64,66,70,71,74], |
| 'decomposition_artifact':[1,2,6,8,13,78,82,83], |
| 'morphology_or_plurality_artifact':[12,31,94], |
| 'complex_scope_unverified':[0,15,16,17,19,20,21,23,24,27,28,29,30,32,42,77,79,85,95,102,105,114,115], |
| 'modifier_scope_retained':[4,9,11,33], |
| } |
| notes={ |
| 'exact_cardinality_lost':'The plural flag does not enforce the exact number requested by two/both/three. Incidental correct cardinality is not parsing correctness.', |
| 'decomposition_artifact':'A dangling preposition or adverb remains in the target phrase. The target/anchor boundary is not a clean noun-phrase decomposition.', |
| 'morphology_or_plurality_artifact':'Naive final-token singularization or the explicit plural-keyword rule changes an inflection or loses implicit plural scope.', |
| 'complex_scope_unverified':'The expression contains coordination, nested modifiers, ambiguous attachment or multiple spatial constraints; one target/anchor slot does not verify full scope.', |
| 'modifier_scope_retained':'A modifier remains inside a target/anchor phrase and the outer relation is separable. The new lexical guard conservatively rejects this case.', |
| 'simple_representable':'The text admits the implemented plural-union or unary-extreme form, or an unambiguous outer relation. This is a text-only judgment, not verification of visual grounding.' |
| } |
| assigned={i:label for label,ids in labels.items() for i in ids};assert sum(map(len,labels.values()))==len(assigned) |
| for i,r in enumerate(rows): |
| label=assigned.get(i,'simple_representable');r.update(ai_audit_category=label,ai_audit_note=notes[label],audit_authority='AI assistant; text-only; provisional',human_verdict='',human_notes='') |
| with path.open('w') as f: |
| w=csv.DictWriter(f,fieldnames=rows[0]);w.writeheader();w.writerows(rows) |
| meta=dict(n=len(rows),authority='AI assistant; not independent human adjudication',scope='Original 122 accepted expressions in the 1,800-image Phase 1 natural evaluation; all read as text',counts=dict(collections.Counter(r['ai_audit_category'] for r in rows)),guard_accepted_counts=dict(collections.Counter(r['ai_audit_category'] for r in rows if r['scope_safe']=='True')),precision_reported=False,reason='Several categories require image context and two independent human judgments; no certified parser precision or inter-rater agreement is claimed.') |
| (ROOT/'review/parser_audit_summary.json').write_text(json.dumps(meta,indent=2));print(json.dumps(meta,indent=2)) |
|
|
