Welcome to this synthetic data generation demo repository! This project showcases how to create realistic synthetic datasets using real-world tabular data, demonstrated here on a UK retail dataset with columns such as:
- Country
- CustomerID
- UnitPrice
- InvoiceDate
- Quantity
- StockCode
This dataset is designed for LLM training and AI development, enabling developers to work with realistic, privacy-safe data for modeling and experimentation.
Synthetic data enables organizations to:
- Preserve privacy while maintaining data utility – generate realistic datasets without exposing sensitive information.
- Accelerate AI and LLM development – augment limited datasets, reduce bias, and improve model performance.
- Enable safe data sharing and collaboration – use synthetic datasets across teams and projects without compliance risks.
By using this dataset, LLM developers can focus on training, fine-tuning, and testing AI models without worrying about data privacy or regulatory restrictions.
The UK retail dataset contains transactional data with features common to many business domains:
| Column Name | Description |
|---|---|
| Country | Country of the transaction |
| CustomerID | Unique customer identifier |
| UnitPrice | Price per item |
| InvoiceDate | Date of invoice |
| Quantity | Number of items purchased |
| StockCode | Product stock keeping unit code |
These columns make this dataset ideal for demonstrating synthetic data generation workflows for tabular data, as well as LLM training applications for retail analytics.
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Synthetic Retail Dataset – CSV format, ready for LLM training and modeling.
Download Dataset -
Jupyter Notebook – Exploration and usage guide for the dataset.
Open Notebook
This dataset is generated with Syncora.ai, a platform designed for privacy-safe, high-quality synthetic data creation. Benefits include:
- High-fidelity synthetic data that mirrors real-world patterns without exposing sensitive information.
- Ready-to-use datasets for LLM training, enabling faster prototyping, testing, and fine-tuning.
- Scalable and compliant generation – create datasets safely across domains like retail, finance, healthcare, and education.
Take your AI projects further with Syncora.ai:
→ Generate your own synthetic datasets now