|
--- |
|
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. |