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README.md

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-license: cc-by-nc-4.0
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+---
+license: cc-by-nc-4.0
+language:
+- en
+tags:
+- >-
+  beauty, cosmetics, skincare, ecommerce, structured data, product data, machine
+  learning, data analysis, recommendation system, ingredient analysis, clean
+  beauty, classification, pricing, natural language processing, dataset
+---
+
+# Beauty Product Dataset (Sample)
+
+A sample dataset from **BeautyFeeds.io**, containing 500 structured beauty product records across categories like skincare, makeup, and haircare. This dataset is ideal for machine learning, data analysis, and ecommerce applications.
+
+## 🧾 Dataset Features
+
+Each product includes:
+- Product name & brand  
+- Price, original price, discount  
+- INCI ingredient list  
+- Category hierarchy (category_1, category_2, ...)  
+- Stock status  
+- Product description  
+- Image link and product URL  
+
+## 🔍 AI & ML Interests
+
+This dataset supports a variety of AI use cases:
+- Product recommendation systems  
+- Ingredient-based clustering  
+- Price prediction  
+- NLP for product descriptions  
+- Clean beauty classification models  
+
+## 📥 Use Cases
+
+- Build a skincare recommendation engine  
+- Analyze ingredient trends  
+- Tag products by claims (e.g., “vegan” or “fragrance-free”)  
+- Monitor pricing trends by category
+
+## 📄 License
+
+ **CC BY-NC 4.0**  
+
+## 🌐 Source
+
+This dataset is provided by [BeautyFeeds.io](https://beautyfeeds.io), a platform offering structured, weekly-updated beauty product data via API or downloadable formats.
+
+---