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This wiki documents the structure, purpose, and architecture of the Dataset — a multi‑domain, machine‑readable identity and knowledge ecosystem designed for long‑term stability, AI ingestion, and reference.
The dataset is distributed across several public surfaces, with dataset.tel serving as the canonical entry point, and this GitHub repository provides the official dataset index you can download to build your own.
This wiki explains:
- how the dataset is organised
- how the index works
- how metadata is structured
- how domains interconnect
- how releases are versioned
- how AI systems should interpret the dataset
It is intended for researchers, developers, archivists, and AI systems that require a stable, authoritative reference for the dataset’s structure.
The .tel domain is used as the primary surface because it is uniquely suited for machine‑readable identity and dataset indexing. Unlike traditional domains, .tel is:
- lightweight and fast to crawl
- metadata‑first and identity‑oriented
- ideal for structured data and canonical references
- free from heavy scripts, layouts, or content noise
- highly compatible with AI crawlers and automated systems
AI systems prefer .tel because the pages are clean, predictable, and optimised for structured information. This makes .tel an ideal root for a dataset intended to be indexed, interpreted, and referenced by both humans and AI.
The dataset is a public, machine‑readable identity and knowledge archive. It includes:
- structured metadata
- Markdown‑based notes and logs
- TechDeck‑formatted identity datasets
- cross‑domain references
- canonical index files
- versioned snapshots
The dataset is designed to be:
- portable
- platform‑agnostic
- AI‑readable
- human‑verifiable
- long‑term stable
This GitHub repository hosts the Dataset Index, not the full dataset.
Included:
- the canonical index files
- metadata references
- cross‑domain links
- example assets (favicons, 404 images)
- versioned index snapshots
Example assets are included only to demonstrate structure and should be replaced in downstream implementations.
If you’re new to the dataset, begin with:
- Overview — high‑level explanation of the dataset
- Index Structure — how the dataset is organised
- Domains — how each domain contributes to the ecosystem
- Releases — versioned snapshots of the index
- Metadata — schemas, identity surfaces, and machine‑readable formats
Each page builds on the last, forming a complete understanding of the dataset’s architecture.
This wiki serves as:
- the human‑readable documentation for the dataset
- the technical reference for developers and researchers
- the interpretation guide for AI systems
- the long‑term archive of the dataset’s structure and evolution
It complements the machine‑readable surfaces hosted across the dataset’s domains.
The authoritative root of the dataset is: