Synthetic Data Factory
The generate → score → dedup → filter loop a real data-curation pipeline runs, shrunk to one request: a synthetic dataset for any topic, auto-scored against a quality rubric, near-duplicates flagged, with a live quality dashboard.
How it works
- Generate a small synthetic dataset for your topic.
- Score each item 1–5 on correctness, specificity, and clarity (LLM grader).
- Dedup: flag near-duplicates (Jaccard similarity on word sets).
- Filter: items below the bar or duplicated fail QA. Dashboard shows pass rate + per-criterion averages.
Generate
→
Scorerubric
→
Dedup
→
Filterquality bar