kassemsabeh/open-brand
The dataset contains over 250k product brand-value annotations with more than 50k unique values across eight main categories of Amazon product profiles.
This dataset helps e-commerce analysts and product managers understand brand mentions within product descriptions. It takes raw Amazon product descriptions as input and provides specific brand names and their locations within the text. This is useful for anyone researching brand presence, competitor analysis, or market trends across a wide range of product categories.
No commits in the last 6 months.
Use this if you need a pre-processed dataset of brand mentions extracted from a large collection of Amazon product descriptions to power your e-commerce analysis or market research.
Not ideal if you need to extract other types of entities besides brands, or if your product data is not from Amazon and requires a different extraction model.
Stars
14
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 18, 2024
Commits (30d)
0
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