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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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- image-feature-extraction |
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- image-classification |
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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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RAW Perfume dataset (2024 Year), over 26k perfumes. Images, ingredients, description, etc. |
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## How to use |
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```Python |
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from huggingface_hub import hf_hub_download |
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# download raw archive file |
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zip_file = hf_hub_download( |
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repo_id='doevent/perfume', |
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repo_type='dataset', |
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filename='images.zip', |
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) |
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``` |
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```Python |
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import zipfile |
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# extract files to your directory |
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dataset_dir = 'images' |
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os.makedirs(dataset_dir, exist_ok=True) |
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with zipfile.ZipFile(zip_file, 'r') as zf: |
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zf.extractall(dataset_dir) |
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``` |
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## Dataset Structure |
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**RAW data: SQLlite, JSON, CSV** |
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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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"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) |
