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  license: mit
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ task_categories:
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+ - text-classification
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+ - feature-extraction
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+ language:
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+ - en
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+ tags:
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+ - not-for-all-audiences
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+ pretty_name: Perfume dataset
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+
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+
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+ ## Perfume dataset, over 26k perfumes
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+
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+ ### Dataset Description
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+
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+ Perfume dataset, over 26k perfumes
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+
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+ ## How to use
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+
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+ unzip images.zip
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+
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+ ## Dataset Structure
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+
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+ **SQLlite and JSON**
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+
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+ SQL:
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+ ```
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+ id,
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+ brand TEXT,
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+ name_perfume TEXT,
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+ family TEXT,
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+ subfamily TEXT,
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+ fragrances TEXT,
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+ ingredients TEXT,
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+ origin TEXT,
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+ gender TEXT,
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+ years TEXT,
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+ description TEXT,
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+ image_name TEXT,
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+ image_id TEXT
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+ ```
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+
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+ JSON:
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+
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+ ```JSON
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+ [
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+ [
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+ {
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+ "brand": "Fiorucci",
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+ "name_perfume": "Wallstreet",
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+ "family": "FLORAL",
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+ "subfamily": "AMBERY (ORIENTAL)",
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+ "fragrances": "Floral Amber Fresher",
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+ "ingredients": [
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+ "Jasmine",
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+ "Lemon",
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+ "Spicy Notes",
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+ "Gardenia",
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+ "Rose",
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+ "Bergamot",
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+ "Mint",
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+ "Pepper"
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+ ],
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+ "origin": "Brazil",
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+ "gender": "Male",
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+ "years": "2015",
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+ "description": "A modern aroma, ideal for urban men and that highlights their strengths in everyday life.",
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+ "image_name": "jsunc6exf3hcx3bfbnx0jw5f2s4zske1770lzwplo5hn2v4ky2qh4lxan392-w500-q85.jpg"
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+ },
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+ ]
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+ ```
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+
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+ ## Dataset Creation
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+
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+ 01.05.2024
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+
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+ ## Dataset Card Authors
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+
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+ Max Skobeev
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+ [Twitter](https://twitter.com/DoEvent)
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+ [Telegram](https://t.me/neuralpony)