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US Address Comparison (per-part match verdicts)

Chat-format instruction data for judging whether two US addresses refer to the same place, part by part. It is the companion to davidr99/us-address-standardization: each address is provided as the raw string plus its standardized JSON (the output of the normalization model).

Each row has three flat fields (system / user / assistant) for easy reading and grepping; rebuild the chat messages list from them at train time:

{
  "system": "<comparison instructions>",
  "user": "Address A: ...\nA components: {...}\nAddress B: ...\nB components: {...}",
  "assistant": "{\"overall_estimate\":{\"match_type\":\"MATCH\"}, ...}"
}

Output (7 buckets, in order)

overall_estimate, street, house_number, city, state, zip, unit

Each is {"match_type": "MATCH" | "PLAUSIBLE" | "NOT_MATCHED"}.

  • MATCH - equivalent after standardization (two empty values also match).
  • PLAUSIBLE - cannot be ruled out: one side missing the field, a minor spelling variant, a ZIP+4 vs the matching 5-digit ZIP, a house number differing only by a letter/"1/2", or a street matching by name but differing in type/directional.
  • NOT_MATCHED - both present and clearly conflicting.

Field folding: building/extra -> street; box/ruralRoute -> house_number; country ignored. overall_estimate is critical-field weighted: NOT_MATCHED if any of street/house_number/city/state/zip is NOT_MATCHED, else MATCH only if every bucket matches, else PLAUSIBLE (a unit-only difference never forces NOT_MATCHED).

Generation

Synthetic, label-first: a complete address A is built, address B is derived (identical / independent / controlled per-field mutations), and the pair is labeled by a deterministic comparator (compare_schema.compare_records) that encodes the rules above. Address A is always complete; only B may be missing fields. See the scripts/ folder in the companion model repo for the generator.

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