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Update README.md

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  1. README.md +114 -113
README.md CHANGED
@@ -1,111 +1,111 @@
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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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-
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- # Geoscape GNAF Dataset
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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
@@ -146,13 +152,8 @@ state_abbreviation
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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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-
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- https://docs.geoscape.com.au/projects/gnaf_desc/en/stable/index.html
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-
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  ## Provenance
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  ### Data source
 
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+ ---
2
+ dataset_info:
3
+ features:
4
+ - name: address_detail_pid
5
+ dtype: string
6
+ - name: street_locality_pid
7
+ dtype: string
8
+ - name: locality_pid
9
+ dtype: string
10
+ - name: building_name
11
+ dtype: string
12
+ - name: lot_number_prefix
13
+ dtype: string
14
+ - name: lot_number
15
+ dtype: string
16
+ - name: lot_number_suffix
17
+ dtype: string
18
+ - name: flat_type
19
+ dtype: string
20
+ - name: flat_number_prefix
21
+ dtype: string
22
+ - name: flat_number
23
+ dtype: float64
24
+ - name: flat_number_suffix
25
+ dtype: string
26
+ - name: level_type
27
+ dtype: string
28
+ - name: level_number_prefix
29
+ dtype: string
30
+ - name: level_number
31
+ dtype: float64
32
+ - name: level_number_suffix
33
+ dtype: string
34
+ - name: number_first_prefix
35
+ dtype: string
36
+ - name: number_first
37
+ dtype: float64
38
+ - name: number_first_suffix
39
+ dtype: string
40
+ - name: number_last_prefix
41
+ dtype: string
42
+ - name: number_last
43
+ dtype: float64
44
+ - name: number_last_suffix
45
+ dtype: string
46
+ - name: street_name
47
+ dtype: string
48
+ - name: street_class_code
49
+ dtype: string
50
+ - name: street_class_type
51
+ dtype: string
52
+ - name: street_type_code
53
+ dtype: string
54
+ - name: street_suffix_code
55
+ dtype: string
56
+ - name: street_suffix_type
57
+ dtype: string
58
+ - name: locality_name
59
+ dtype: string
60
+ - name: state_abbreviation
61
+ dtype: string
62
+ - name: postcode
63
+ dtype: int64
64
+ - name: latitude
65
+ dtype: float64
66
+ - name: longitude
67
+ dtype: float64
68
+ - name: geocode_type
69
+ dtype: string
70
+ - name: confidence
71
+ dtype: int64
72
+ - name: alias_principal
73
+ dtype: string
74
+ - name: primary_secondary
75
+ dtype: string
76
+ - name: legal_parcel_id
77
+ dtype: string
78
+ - name: date_created
79
+ dtype: string
80
+ splits:
81
+ - name: train
82
+ num_bytes: 4657596871
83
+ num_examples: 15357486
84
+ download_size: 1584880457
85
+ dataset_size: 4657596871
86
+ configs:
87
+ - config_name: default
88
+ data_files:
89
+ - split: train
90
+ path: data/train-*
91
+ license: cc-by-4.0
92
+ language:
93
+ - en
94
+ task_categories:
95
+ - text-classification
96
+ tags:
97
+ - geospatial
98
+ - address
99
+ - location
100
+ - australia
101
+ - gnaf
102
+ - geoscape
103
+ pretty_name: gnaf
104
+ size_categories:
105
+ - 10M<n<100M
106
+ ---
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+
108
+ # Geoscape Geocoded National Address File (GNAF) 2022
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110
  ## Dataset overview
111
 
 
113
 
114
  It contains the state, suburb, street, number and coordinate reference or geocode for street addresses in Australia.
115
 
116
+ Original data source: https://data.gov.au/data/dataset/geocoded-national-address-file-g-naf
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+
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+ G-NAF Product Description: https://docs.geoscape.com.au/projects/gnaf_desc/en/stable/index.html
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+
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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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+
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  ## Columns extracted into this dataset
123
 
124
  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
158
 
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  ### Data source