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Supplies Product Dataset
E-commerce & Online Transactions
Tags and Keywords
Trusted By
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Free
About
This dataset, titled "Supplies Catalog", offers a rich collection of product listings across a wide array of categories, ranging from "Apparel & Accessories" to "Religious & Ceremonial". Each entry provides a unique product ID, its title, vendor, relevant descriptive tags, and its main category. It is an ideal resource for various applications, especially for Natural Language Processing (NLP) tasks such as text classification, clustering, and topic modelling. Whether you are exploring e-commerce trends, conducting market research, or analysing text data through NLP, this dataset provides a valuable resource for analytical pursuits.
Columns
- product_id: A unique numeric identifier for each product.
- title: The name or title of the product.
- vendor: The name of the product's vendor or brand.
- tags: Keywords or meta-information associated with the product.
- category: The high-level category to which the product belongs. The dataset features over 20 distinct categories.
Distribution
The dataset's content typically comes in a CSV format. It compiles product listings across more than 20 distinct product categories. Specific numbers for rows or records are not explicitly provided within the available information.
Usage
This dataset is particularly well-suited for:
- Natural Language Processing (NLP) tasks, including text classification, text clustering, and topic modelling.
- Analysing e-commerce trends and patterns.
- Market research related to product categories and vendors.
- General exploration and analysis of textual product data.
Coverage
The dataset's listings span across a global region. While the listing date is noted as 27/06/2025, specific time range coverage for the data itself is not provided. The scope includes over 20 distinct product categories, such as "Apparel & Accessories" and "Animals & Pet Supplies". No specific demographic scope is detailed.
License
CC0
Who Can Use It
This dataset is intended for:
- Data scientists and NLP practitioners working on text classification, clustering, or topic modelling projects.
- E-commerce analysts interested in product categorisation, vendor analysis, and market trends.
- Researchers delving into product data, retail analytics, or consumer behaviour.
- Anyone requiring structured product catalogue data for analytical or machine learning purposes.
Dataset Name Suggestions
- Product Categories Data
- E-commerce Product Listings
- Multi-Category Product Catalogue
- Supplies Product Dataset
- NLP Product Data
Attributes
Original Data Source: Supplies Catalog
QUALITY