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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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## Perfume dataset, over 26k perfumes
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### Dataset Description
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Perfume dataset, over 26k perfumes
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## How to use
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unzip images.zip
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## Dataset Structure
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**SQLlite and JSON**
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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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JSON:
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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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## Dataset Creation
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01.05.2024
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## Dataset Card Authors
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Max Skobeev
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[Twitter](https://twitter.com/DoEvent)
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[Telegram](https://t.me/neuralpony)
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