README.md

metadata

dataset_info:
  features:
    - name: address_detail_pid
      dtype: string
    - name: street_locality_pid
      dtype: string
    - name: locality_pid
      dtype: string
    - name: building_name
      dtype: string
    - name: lot_number_prefix
      dtype: string
    - name: lot_number
      dtype: string
    - name: lot_number_suffix
      dtype: string
    - name: flat_type
      dtype: string
    - name: flat_number_prefix
      dtype: string
    - name: flat_number
      dtype: float64
    - name: flat_number_suffix
      dtype: string
    - name: level_type
      dtype: string
    - name: level_number_prefix
      dtype: string
    - name: level_number
      dtype: float64
    - name: level_number_suffix
      dtype: string
    - name: number_first_prefix
      dtype: string
    - name: number_first
      dtype: float64
    - name: number_first_suffix
      dtype: string
    - name: number_last_prefix
      dtype: string
    - name: number_last
      dtype: float64
    - name: number_last_suffix
      dtype: string
    - name: street_name
      dtype: string
    - name: street_class_code
      dtype: string
    - name: street_class_type
      dtype: string
    - name: street_type_code
      dtype: string
    - name: street_suffix_code
      dtype: string
    - name: street_suffix_type
      dtype: string
    - name: locality_name
      dtype: string
    - name: state_abbreviation
      dtype: string
    - name: postcode
      dtype: int64
    - name: latitude
      dtype: float64
    - name: longitude
      dtype: float64
    - name: geocode_type
      dtype: string
    - name: confidence
      dtype: int64
    - name: alias_principal
      dtype: string
    - name: primary_secondary
      dtype: string
    - name: legal_parcel_id
      dtype: string
    - name: date_created
      dtype: string
  splits:
    - name: train
      num_bytes: 4657596871
      num_examples: 15357486
  download_size: 1584880457
  dataset_size: 4657596871
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
license: cc-by-4.0
language:
  - en
task_categories:
  - text-classification
tags:
  - geospatial
  - address
  - location
  - australia
  - gnaf
  - geoscape
pretty_name: gnaf
size_categories:
  - 10M<n<100M

Geoscape Geocoded National Address File (GNAF) 2022

Dataset overview

Geoscape GNAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.

It contains the state, suburb, street, number and coordinate reference or geocode for street addresses in Australia.

Original data source: https://data.gov.au/data/dataset/geocoded-national-address-file-g-naf

G-NAF Product Description: https://docs.geoscape.com.au/projects/gnaf_desc/en/stable/index.html

Transformed into csv using PostgreSQL scripts from: https://github.com/dylanhogg/address-net/tree/master/gnaf_loading

Columns extracted into this dataset

This dataset contains 15.3 million rows with text and numeric column values extracted from the source GNAF files using PostgreSQL scripts from: https://github.com/dylanhogg/address-net/tree/master/gnaf_loading

Columns

building_name
flat_number
flat_number_prefix
flat_number_suffix
flat_type
latitude
level_number
level_number_prefix
level_number_suffix
level_type
locality_name
longitude
lot_number
lot_number_prefix
lot_number_suffix
number_first
number_first_prefix
number_first_suffix
number_last
number_last_prefix
number_last_suffix
postcode
state_abbreviation
street_name
street_suffix_code
street_type_code

Provenance

Data source

G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use.

This dataset was created from source data from Aug 2022.

https://data.gov.au/data/dataset/geocoded-national-address-file-g-naf

Collection methodology

Transformed into csv using PostgreSQL scripts from:

https://github.com/dylanhogg/address-net/tree/master/gnaf_loading

Restrictions

The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added. The open G-NAF data must not be used for the generation of an address or a compilation of addresses for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information.

Attribution

Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.