Sephora Skincare Reviews

Dataset containing customer reviews and product information for over 2,000 Sephora skin care products collected in 2023. Used for sentiment analysis, recommendation, and product trend research.

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Size

Approximately 1 million text reviews, over 8,000 products with metadata, CSV/JSON format

Licence

Attribution 4.0 International (CC BY 4.0)

Description

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The dataset Sephora Skincare Reviews contains approximately one million user reviews with detailed information on more than 8,000 skin care products available on the Sephora online store. Data includes product names, brands, prices, prices, ingredients, user ratings and ratings, and various product characteristics.

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What is this dataset for?

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Conduct sentiment analyses to understand customer opinion on different products and brands.
Build personalized recommendation systems based on history and customer reviews.
Analyze ingredient trends, prices, and brand popularity through exploratory visualizations and analyses.

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Can it be enriched or improved?

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Yes, this dataset can be enriched by adding annotations on the precise emotions of reviews, the thematic classification of comments, or the integration of additional data such as reviews on other product categories. Human or semi-automatic annotation techniques can improve the quality of analyses.

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🔎 In summary

Criterion	Evaluation
🧩 Ease of use	⭐⭐⭐✩✩ (Structured data, but requires cleaning of text reviews)
🧼 Need for cleaning	⭐⭐⭐✩✩ (Moderate to high: text normalization, duplicate management)
🏷️ Annotation richness	⭐⭐⭐✩✩ (Medium: reviews with ratings, few semantic annotations)
📜 Commercial license	✅ Yes (CC BY 4.0)
👨‍💻 Beginner friendly	👍 Yes, good base for NLP and recommendation projects
🔁 Fine-tuning ready	✅ Suitable for training sentiment and recommendation models
🌍 Cultural diversity	⚠️ Mostly English, focus on US/international market