E-commerce
Nigerian Product Dataset
Product titles and categories for catalogue classification.
Dataset description
A short fictional catalogue: grains, household goods and produce titles a marketplace might classify. Not scraped from any store.
- Creator
- AI HUB Data Team (demo)
- Records
- 40,000
- Format
- CSV
- Collection period
- Demo catalogue
- Updated
- 2026-11-07
- Downloads of samples
- 0
Quality score 92/100
₦150,000 licence (demo price)
At 20% platform fee: creator ₦120,000, platform ₦30,000. This is a quote. Paystack is not connected.
Samples use a 10-minute grant. Full files are not hosted.
Quality breakdown
20% completeness + 18% accuracy + 14% consistency + 12% annotation agreement + 14% documentation + 12% duplicate health + 10% metadata.
Completeness
96%
Accuracy
92%
Consistency
90%
Duplicate rate
1.5%
Annotation agreement
89%
Documentation
87%
Metadata
86%
Data preview
Safe sample only. Restricted fields are not shown.
| sku | title | category | unit |
|---|---|---|---|
| P-100 | Dry maize, 50kg bag | Grains | bag |
| P-240 | Palm oil, 5 litres | Oils | keg |
Data card
- Purpose
- Product categorisation.
- Collection method
- Written examples.
- Annotation method
- Single category from a fixed taxonomy.
- Source
- Demo catalogue.
- Size
- 40,000 catalogue target. Sample only is hosted.
- Fields
- sku, title, category, unit
- Language
- English, Nigerian Pidgin notes
- Geography
- Nigeria
- Limitations
- No prices from real shelves, no barcodes that resolve to real SKUs.
- Potential bias
- Urban supermarket language is more common than rural market names.
- Recommended uses
- Taxonomy design.
- Prohibited uses
- Competitive intelligence or price surveillance.
- Licence
- commercial
Versions
v1.0 · 2026-02-11
Demo catalogue.
+40000 / −0 · Initial · sku, title, category
Report dataset
Use this for privacy, copyright, harmful content or a misleading card. Do not attach more personal data than the report needs.
You can also use the report desk.