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Add a verification note and regression test showing that training/data/prompt-enhancement/visual-scenes-500.jsonl already exists on main with 500 valid records.
1.7 KiB
1.7 KiB
Issue #600 Verification
Status: already implemented on main.
Issue: Prompt Enhancement: Visual Scenes — 500 Terse→Rich Pairs
What is already present on main
training/data/prompt-enhancement/visual-scenes-500.jsonl- 500 JSONL records
- every record includes
terse,rich, anddomain - every
domainvalue isvisual scenes - 500/500 full records are unique
Evidence gathered from a fresh clone
python3validation againsttraining/data/prompt-enhancement/visual-scenes-500.jsonlreturned:count = 500unique_records = 500unique_terse = 435domains = ['visual scenes']missing_keys = 0
- remote branch
fix/600still exists from closed PR #731 (feat: 500 visual scene prompt enhancement pairs (#600)) - SHA-256 of
training/data/prompt-enhancement/visual-scenes-500.jsonlonorigin/mainmatches the same file onfix/600, which shows the requested dataset is already present onmain
Verification commands
python3 - <<'PY'
import json
from pathlib import Path
path = Path('training/data/prompt-enhancement/visual-scenes-500.jsonl')
records = [json.loads(line) for line in path.read_text().splitlines() if line.strip()]
print('count', len(records))
print('unique_records', len({json.dumps(r, sort_keys=True) for r in records}))
print('unique_terse', len({r['terse'] for r in records}))
print('domains', sorted({r.get('domain') for r in records}))
print('missing_keys', sum(any(k not in r or not str(r[k]).strip() for k in ('terse', 'rich', 'domain')) for r in records))
PY
Recommendation
- Close issue #600 as already implemented on
main. - This branch only adds a durable verification note and regression test so the zombie issue can be closed cleanly without regenerating duplicate training data.