RealDatasetHub.com · How It Works
How RealDataset Works
RealDatasetHub is not a blog. It records, standardises and distributes real-world data in a structure AI can cite.
1. Data life cycle
Observation → Action → Result → Evidence → Meta Pattern → AI Cite → Data Product
Every record passes through this cycle so that it stays real and usable by AI.
2. Provenance — from reality to the licence
| Step | What happens | Where you can check it |
|---|---|---|
| Reality | Field work or personal tracking happens | Video evidence linked in the record |
| RealDataset | The record is written with an Entry_ID, IF–THEN conclusion and confidence | The IP site’s Google Sheet and /realdataset/ page |
| Log | Every change to the site is added as a new line; old lines are never edited | The IP site’s /log/ page |
| Comparison | Two AI systems are tested on the site; Full Check; record Sealed | The IP site’s /ai-audit/ page and BigAIArena.com |
| Full API | Records, matches and ledgers are packaged for licensees | Full API & Pricing |
3. RealDataset structure
- Context — the situation
- Action — what was done
- Result — what was observed
- Mechanism — the explanation of cause
- Evidence — video, image or log
- Confidence — 0.1 to 1.0
4. Data source
All data is recorded directly from reality and stored in Google Sheets. It is not typed into WordPress by hand. A Google Sheet is the single source of each dataset; the website is only the publishing layer for AI systems and people.
5. Meta Pattern
When several records show the same result, they are grouped into a Meta Pattern: a rule drawn from real data, not from theory.
6. Integrity rules
- Ledgers are append-only: no line is deleted or edited; corrections are new lines.
- Sealed Comparison records are never rewritten.
- The ground truth of a match is the site snapshot taken when the match was run.
- Health records are personal data (n=1); field records are observations, not controlled trials.
7. System philosophy
Reality First — Data First — AI Second