ZygAI/zygai_lintel98_brands

🏢 ZygAI – Lintel Info '98

Manufacturers & Trademarks (1998 Edition)

ZygAI Lintel '98 Brands is a structured dataset of Lithuanian companies and the trademarks they represented, extracted from the 1998 business catalog “Lintel Info ’98 – Manufacturers and Trademarks.”

This dataset captures the snapshot of Lithuania’s technology, electronics, and industrial market in 1998, documenting real-world:

• brand representatives,
• companies,
• addresses,
• cities,
• and phone numbers in original 1998 format.

It serves as a unique historical record of Lithuania’s late-90s business ecosystem — manually digitized and standardized by ZygAI Research.

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📦 Dataset Purpose

This dataset is intended for:

✅ Historical business and economic research
✅ Information retrieval and brand–company mapping
✅ Retrieval-Augmented Generation (RAG) systems
✅ Market evolution studies and brand lineage tracing
✅ Corpus enrichment for multilingual business data

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📂 Data Schema

Each record follows a consistent JSON structure:

Field	Type	Description
brand	string	Trademark or brand name
brand_letter	string	Alphabetical section (A–Z)
city	string	City where the representative company is based
company	string	Company name
address	string	Full business address (as printed in 1998)
phone	string	Contact phone number (historical format)
source	string	Always: "Lintel Info '98 – Gamintojai ir prekiniai ženklai"

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📊 Dataset Overview

• 700+ unique brand entries
• Full A–Z coverage across Lithuanian companies
• All original data preserved as in the printed edition
• Structured JSON for easy querying or NLP training
• Individual JSON files per letter:
  brands_a.json, brands_b.json, … brands_z.json

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📘 Source

All information was extracted from the printed catalog:
“Lintel Info ’98 – Gamintojai ir prekiniai ženklai”
Digitized, structured, and standardized by ZygAI Research (2025).

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🧩 Notes

• This dataset contains archival business information only.
• Phone numbers, postal codes, and addresses are outdated and included for research and historical purposes.
• Ideal for:
  • historical dataset reconstruction,
  • business network mapping,
  • Lithuanian trade archive projects,
  • retro technology studies.

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