Industrial-grade automated synthetic data generation via OpenAI Batch API
Project description
sdg1121 🚀
sdg1121 is a high-performance, automated synthetic data engine. It utilizes OpenAI's Batch API to generate statistically consistent, privacy-preserving datasets at scale.
Core Features
- Auto-Learning: Automatically identifies schemas and numeric boundaries from raw data.
- Cost Efficiency: Uses Cloud Batch API to reduce costs by 50% for mass generation.
- Logic Guard: Injects real-world numeric constraints to eliminate AI hallucinations.
- Easy Evaluation: Built-in similarity report for data validation.
Quick Start
from sdg1121 import SDGEngine
# Initialize with your API key
engine = SDGEngine(api_key="your-openai-api-key")
# One-click generation (Fit -> Batch -> Download)
df = engine.auto_generate("source.csv", count=1000)
# Save result
df.to_csv("synthetic_output.csv", index=False)
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