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- # Dior Perfume SVC Dataset
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- This dataset contains structured scent vector codes (SVC) for various Dior perfumes, including their URLs and quantitative scent attributes.
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- Each row represents one perfume, extracted and encoded using the ScentByte extraction tool.
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- ## 📘 Contents
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- - **name**: Perfume name
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- - **url**: Original Fragrantica source URL
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- - **svc_code**: Encoded scent vector (SVC format)
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- - **fragrance attributes**: Numerical scent composition values (0–100 scale)
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- ## ⚠️ Disclaimer
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- All perfume names and brand references belong to their respective owners (e.g., Dior).
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- This dataset is for **research and educational purposes only**, and does not claim any commercial association with Dior or Fragrantica.
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- ## 🪪 License
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- This dataset is distributed under the [Creative Commons Attribution 4.0 International License (CC BY 4.0)](https://creativecommons.org/licenses/by/4.0/).
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- You are free to share and adapt this data with proper credit.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ Dior Perfume SVC Dataset
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+ The Dior Perfume SVC Dataset is a structured dataset containing Scent Vector Codes (SVC) for a wide range of Dior perfumes. It provides quantitative representations of perfume scents, along with relevant metadata, making it ideal for research and educational purposes in computational perfumery, scent analysis, and AI-driven fragrance studies.
 
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+ 📘 Dataset Overview
 
 
 
 
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+ Each entry in the dataset corresponds to a single Dior perfume and includes the following information:
 
 
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+ Column Description
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+ name Name of the perfume
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+ url Original Fragrantica source URL
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+ svc_code Encoded scent vector in SVC format
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+ fragrance_attributes Numerical representation of scent composition (0–100 scale)
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+ The scent vector codes are extracted and encoded using the ScentByte extraction tool, which allows for reproducible, quantitative analysis of perfumes in a digital format.
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+ ⚠️ Disclaimer
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+ All perfume names, trademarks, and brand references belong to their respective owners (e.g., Dior, Fragrantica).
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+ This dataset is for research and educational purposes only. It is not affiliated with, endorsed by, or commercially associated with Dior or Fragrantica.
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+ 🪪 License
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+ This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0)
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+ .
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+ You are free to share, adapt, and use this dataset, provided appropriate credit is given.
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+ 🔬 Applications
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+ Computational fragrance analysis
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+ Machine learning and AI in perfumery
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+ Scent visualization and digital representation
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+ Research in olfactory data encoding
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+ 💡 Notes
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+ The SVC format is analogous to digital color codes (like RGB), providing a structured representation of a perfume’s scent profile.
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+ Fragrance attributes are normalized on a 0–100 scale for consistent analysis across perfumes.