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---
---
language: en
tags:
- synthetic-data
- dataset-for-llm-training
- generate-synthetic-data
- data-generator
license: apache-2.0
pretty_name: UK Retail Synthetic Dataset for LLM Training
size_categories:
- 1K<n<10K
task_categories:
- tabular-classification
- tabular-regression
- table-to-text
---
# Synthetic Data Generation Demo — UK Retail Dataset
Welcome to this **synthetic data generation** demo repository by [**Syncora.ai**](https://syncora.ai). This project showcases how to **generate synthetic data** using real-world tabular structures, demonstrated on a UK retail dataset with columns such as:
- Country
- CustomerID
- UnitPrice
- InvoiceDate
- Quantity
- StockCode
This dataset is designed for **dataset for LLM training** and AI development, enabling developers to work with **privacy-safe, high-quality synthetic data** for modeling, experimentation, and deployment.
---
## ✅ Why Synthetic Data Generation?
Synthetic data empowers organizations to:
- **Preserve privacy while maintaining utility** – create realistic datasets without exposing sensitive information.
- **Accelerate AI & LLM development** – augment limited datasets, reduce bias, and improve model accuracy.
- **Enable safe collaboration** – share datasets across teams without compliance risks.
By using this **dataset for LLM training**, developers can focus on **training, fine-tuning, and testing AI models** without privacy concerns.
## **📦 What You’ll Find in This Repo**
- **Synthetic Retail Dataset** – Ready-to-use **dataset for LLM training** and modeling.
[**Download Dataset**](https://huggingface.co/datasets/syncora/uk_retail_store_synthetic_dataset/blob/main/uk-retail.csv)
- **Jupyter Notebook** – Explore, visualize, and implement data generation workflows.
[**Open Notebook**](https://huggingface.co/datasets/syncora/uk_retail_store_synthetic_dataset/blob/main/notebook)
## 📊 About the UK Retail Dataset
This synthetic retail dataset mimics transactional data commonly seen in 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 code |
These fields make it ideal for **synthetic data generation workflows** and **LLM training** focused on retail analytics.
---
## 🔍 Why Syncora.ai?
Built and maintained by **[Syncora.ai](https://syncora.ai)**, a platform designed for **synthetic data generation at scale**.
- **High-fidelity synthetic data** that mirrors real-world behavior.
- **Pre-built datasets for LLM training** for faster prototyping and deployment.
- **Compliant, scalable data generator** for industries like retail, healthcare, finance, and beyond.
---
## 🔗 Generate Your Own Synthetic Dataset
Want to create a custom dataset? Try our **data generator**:
[**→ Generate Synthetic Data Now**](https://huggingface.co/spaces/syncora/synthetic-generation)
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