30k IKEA items in flat text
OP here. I took the unofficial IKEA US dataset (originally scraped by jeffreyszhou) and converted all 30,511 products into a flat, markdown-like protocol called CommerceTXT. The goal: See if a flatter structure is more efficient for LLM context windows. The results: - Size: 30k products across 632 categories. - Efficiency: The text version uses ~24% fewer tokens (3.6M saved total) compared to the equivalent minified JSON. - Structure: Files are organized in folders (e.g. /products/category/), which helps with testing hierarchical retrieval routers. The link goes to the dataset…
30k IKEA items in flat text launched on January 7, 2026 with 55 votes, #527 of 14,584 launches that month and more than 95% of that year's launches.
In plain words
This dataset contains 30,511 IKEA products converted from JSON into CommerceTXT, a flat markdown-like format designed to reduce token usage in large language models. The 3.6 million products span 632 categories organized in hierarchical folders for testing retrieval systems. The text format uses approximately 24% fewer tokens than minified JSON, making it useful for developers and researchers optimizing LLM context windows and experimenting with different data structures for product catalogs.
written from the facts on this page · September 2026
From the sources
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30,511 IKEA US products in CommerceTXT v1.0.1 format - A token-optimized, human-readable alternative to JSON for e-commerce data. CommerceTXT is a lightweight, text-based protocol designed for AI/LLM consumption of e-commerce data. It eliminates JSON overhead while maintaining structure and readability. ikea-us-commercetxt/ ├── commerce.txt # Root with @CATALOG (632 categories) ├── products/ # 30,511 files organized by category │ ├── frames/ │ │ ├── 00263858.txt │ │ └── ... │ ├── tables-and-desks/ │ │ └── ... │ └── ... (632 category folders) ├── categories/ # 632 category index files │ ├── frames.txt │ ├── tables-and-desks.txt │ └── ... 🚀 Usage Load with datasets library from datasets…from huggingface.co
In the maker’s words, at launch
OP here. I took the unofficial IKEA US dataset (originally scraped by jeffreyszhou) and converted all 30,511 products into a flat, markdown-like protocol called CommerceTXT. The goal: See if a flatter structure is more efficient for LLM context windows. The results: - Size: 30k products across 632 categories.…
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