Naija Address Normalizer Converts informal, landmark based Nigerian addresses into structured JSON . In Nigeria (and much of Africa) people locate places by landmarks and relative directions rather than street numbers — "opposite Chicken Republic, after Mobil, Lekki Phase 1" . Standard geocoders (Google, Nominatim, Pelias) are built for structured addresses and stumble on these. This model handles the first step: turning the messy text into clean fields a geocoder can work with. Scope: this model does not predict coordinates. It outputs structured fields; pass them to a geocoder (Nominatim / Photon / Pelias) for lat long. Example Input Output Output schema field type notes landmarks list of objects each has name , relation , qualifier landmarks[].name string canonical landmark name landmarks[].relation string \ null opposite , beside , behind , before , after , near , under , inside , at landmarks[].qualifier string \ null e.g. "blue gate" , "second gate" , "the junction" area string \ null neighbourhood / district city string \ null inferred from area state string \ null inferred from area country string always "Nigeria" for this model Usage Training data Synthetically generated w…
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