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README.md
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---
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dataset_info:
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features:
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- name: address_detail_pid
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dtype: string
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- name: street_locality_pid
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dtype: string
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- name: locality_pid
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dtype: string
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- name: building_name
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dtype: string
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- name: lot_number_prefix
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dtype: string
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- name: lot_number
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dtype: string
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- name: lot_number_suffix
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dtype: string
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- name: flat_type
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dtype: string
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- name: flat_number_prefix
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dtype: string
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- name: flat_number
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dtype: float64
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- name: flat_number_suffix
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dtype: string
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- name: level_type
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dtype: string
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- name: level_number_prefix
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dtype: string
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- name: level_number
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dtype: float64
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- name: level_number_suffix
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dtype: string
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- name: number_first_prefix
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dtype: string
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- name: number_first
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dtype: float64
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- name: number_first_suffix
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dtype: string
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- name: number_last_prefix
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dtype: string
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- name: number_last
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dtype: float64
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- name: number_last_suffix
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dtype: string
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- name: street_name
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dtype: string
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- name: street_class_code
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dtype: string
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- name: street_class_type
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dtype: string
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- name: street_type_code
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dtype: string
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- name: street_suffix_code
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dtype: string
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- name: street_suffix_type
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dtype: string
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- name: locality_name
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dtype: string
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- name: state_abbreviation
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dtype: string
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- name: postcode
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dtype: int64
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- name: latitude
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dtype: float64
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- name: longitude
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dtype: float64
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- name: geocode_type
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dtype: string
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- name: confidence
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dtype: int64
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- name: alias_principal
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dtype: string
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- name: primary_secondary
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dtype: string
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- name: legal_parcel_id
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dtype: string
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- name: date_created
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dtype: string
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splits:
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- name: train
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num_bytes: 4657596871
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num_examples: 15357486
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download_size: 1584880457
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dataset_size: 4657596871
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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language:
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- en
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task_categories:
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- text-classification
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tags:
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- geospatial
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- address
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- location
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- australia
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- gnaf
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- geoscape
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pretty_name: gnaf
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size_categories:
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- 10M<n<100M
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---
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# Geoscape GNAF
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## Dataset overview
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@@ -113,6 +113,12 @@ Geoscape GNAF is the geocoded address database for Australian businesses and gov
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It contains the state, suburb, street, number and coordinate reference or geocode for street addresses in Australia.
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## Columns extracted into this dataset
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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
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street_name
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street_suffix_code
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street_type_code
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References
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```
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### G-NAF Product Description
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https://docs.geoscape.com.au/projects/gnaf_desc/en/stable/index.html
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## Provenance
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### Data source
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---
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+
dataset_info:
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+
features:
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+
- name: address_detail_pid
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+
dtype: string
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+
- name: street_locality_pid
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+
dtype: string
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+
- name: locality_pid
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+
dtype: string
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+
- name: building_name
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+
dtype: string
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+
- name: lot_number_prefix
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+
dtype: string
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+
- name: lot_number
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+
dtype: string
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+
- name: lot_number_suffix
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+
dtype: string
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+
- name: flat_type
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+
dtype: string
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+
- name: flat_number_prefix
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+
dtype: string
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+
- name: flat_number
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dtype: float64
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+
- name: flat_number_suffix
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+
dtype: string
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+
- name: level_type
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dtype: string
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+
- name: level_number_prefix
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dtype: string
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+
- name: level_number
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dtype: float64
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- name: level_number_suffix
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+
dtype: string
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+
- name: number_first_prefix
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dtype: string
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+
- name: number_first
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dtype: float64
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+
- name: number_first_suffix
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+
dtype: string
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+
- name: number_last_prefix
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dtype: string
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- name: number_last
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dtype: float64
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- name: number_last_suffix
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dtype: string
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- name: street_name
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dtype: string
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- name: street_class_code
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dtype: string
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- name: street_class_type
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dtype: string
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- name: street_type_code
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dtype: string
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- name: street_suffix_code
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dtype: string
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- name: street_suffix_type
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dtype: string
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- name: locality_name
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dtype: string
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- name: state_abbreviation
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dtype: string
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- name: postcode
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dtype: int64
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- name: latitude
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dtype: float64
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- name: longitude
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+
dtype: float64
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- name: geocode_type
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dtype: string
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+
- name: confidence
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dtype: int64
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- name: alias_principal
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dtype: string
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+
- name: primary_secondary
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dtype: string
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- name: legal_parcel_id
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dtype: string
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- name: date_created
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dtype: string
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splits:
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+
- name: train
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+
num_bytes: 4657596871
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+
num_examples: 15357486
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+
download_size: 1584880457
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+
dataset_size: 4657596871
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+
configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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license: cc-by-4.0
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language:
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- en
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+
task_categories:
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- text-classification
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tags:
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+
- geospatial
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+
- address
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+
- location
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+
- australia
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+
- gnaf
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- geoscape
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pretty_name: gnaf
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size_categories:
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- 10M<n<100M
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---
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# Geoscape Geocoded National Address File (GNAF) 2022
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## Dataset overview
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It contains the state, suburb, street, number and coordinate reference or geocode for street addresses in Australia.
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Original data source: https://data.gov.au/data/dataset/geocoded-national-address-file-g-naf
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G-NAF Product Description: https://docs.geoscape.com.au/projects/gnaf_desc/en/stable/index.html
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Transformed into csv using PostgreSQL scripts from: https://github.com/dylanhogg/address-net/tree/master/gnaf_loading
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## Columns extracted into this dataset
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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
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street_name
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street_suffix_code
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street_type_code
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```
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## Provenance
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### Data source
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