synthetic data pipeline
placeholder project for data generation and curation workflows
This placeholder covers future work on synthetic data generation for model training and evaluation.
Objective
Generate high-signal datasets with controllable difficulty and transparent labeling rules.
Pipeline Concept
- Spec-driven prompt templates for task generation.
- Automatic quality filters and deduplication checks.
- Human spot-check loop for calibration.
Placeholder Note
Replace with your real data specs, quality metrics, and outcomes.