Update README.md

README.md

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----
-license: apache-2.0
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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)