kindred-soul-ltd/kindred-ecommerce-merchant-deals-dataset

Kindred E-commerce Merchant Deals Dataset

AI-ready catalogue of deals and offers for global retail brands. Structured in CSV and JSONL, validated against JSON Schema.

Train-ready catalogue of promotions, ready for RAG, embeddings, or classic search.

Dataset Overview

<table> <thead> <th>File</th> <th>Rows</th> <th>Description</th> </thead> <tbody> <tr> <td><code>data/csv/brands.csv</code> or <code>data/jsonl/brands.jsonl</code></td> <td>~90K</td> <td>E-Commerce Merchant metadata, Logo URL, and domains</td> </tr> <tr> <td><code>data/csv/offers.csv</code> or <code>data/jsonl/offers.jsonl</code></td> <td>~4M</td> <td>Offers with redeemurl, detailed summaries, and <code>sampleq</code> for RAG training</td> </tr> </tbody> </table>

Kindred E-Commerce Merchant Deals Dataset

A structured, open-access dataset of global E-Commerce merchant deals and offers designed specifically for:

• —LLM training and fine-tuning
• —Retrieval Augmented Generation (RAG) systems
• —Machine learning models for recommendation and search
• —Natural language processing applications

This dataset includes curated promotional offers from a wide range of online retailers and marketplaces, with structured metadata including offer descriptions, redemption URLs, brand information, and geolocation tags.

Key Features

• —RAG-optimized: Includes sample_q fields designed for prompt engineering and RAG training
• —Multi-format: Available in both CSV and JSONL formats with validated JSON Schema
• —Comprehensive metadata: Brand information, redemption URLs, and country codes
• —Machine learning ready: Clean, normalized data across multiple retail verticals
• —No PII: Contains no personally identifiable information

Data Structure

• —Brands: ~90K unique brands with identifiers, names, logo URLs, and associated domains
• —Offers: ~4M offers with redemption URLs, detailed descriptions, and sample query patterns

Each offer has a direct relationship with a brand via brand_id, making it easy to build relational models or knowledge graphs for advanced LLM applications.

Keywords

machine-learning, llm-training, rag, retrieval-augmented-generation, dataset, e-commerce, deals, offers, recommendation-system, knowledge-graph, retail-analytics, promotion, redeem-link, public-dataset, kindred, discount, consumer-insights, vector-database

License

Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0). Please see LICENSE.md for full details.

Contact

For questions, licensing, or partnership opportunities: help@kindredteam.com