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Inspira Wikipedia

Databases built from Wikipedia and Wikidata for the Inspira app (https://github.com/x1watt/inspira), in the zx database format (https://github.com/x1watt/zx). They are queried in place: the app's web version reads only the byte ranges a question needs, so nothing is downloaded whole.

Files

File What
en_mini.zx English Wikipedia (Kiwix "mini" dump): pages with their lead and kind, dated facts, infobox rows, the link graph, redirects, a table of dated facts by calendar day
geo.zx Wikidata places: a point for each item with an article in en, pt, de, es, fr or it, with the way it was found; places of birth, death and burial; types; dates; article titles
en_places.zx The map: about a million English articles with a point (events, castles, churches, museums, monuments, other buildings, nature, towns), keyed by map tile and ranked by how well known they are; the leads of the articles en_mini.zx lacks
en_links.zx The External links of about 2.3 million English articles, as Wikipedia lists them (from the wikitext dump), else the official website of the article's Wikidata item, keyed by article
*.parts zx part manifests (size and SHA-256 of each file), the URLs the app opens

Read one with the zx command line tool, after downloading it:

zx sql en_mini.zx "SELECT title, kind FROM page_meta WHERE title = 'Battle of Hastings' COLLATE NOCASE"

or in place over HTTP with the zx web engine (url with the manifest's URL, then db.open and db.sql).

How they are built: tool/wikizx and docs/plan-offline-wikipedia.md, docs/plan-geofill.md in the Inspira repository.

Sources and licenses

  • Wikipedia text: CC BY-SA 4.0, from the Kiwix English Wikipedia "mini" ZIM. The content of this dataset is shared under the same license; credit the Wikipedia contributors. The External links of en_links.zx come from the English Wikipedia wikitext dump (same license).
  • Wikidata: CC0 (truthy dump and sitelinks).
  • GeoNames (https://www.geonames.org): CC BY 4.0, for a part of the points in geo.zx.
  • Some points in geo.zx were placed by a language model (Claude) from the article's lead; their tier says so (model-high, model-medium, model-low). Treat them as approximate.
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