[openaddresses] Fall River County, SD
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@@ -399,7 +399,7 @@ Libpostal is a bit different because it's trained on open data that's available
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Training data are stored on S3 by the date they were created. There's also a file stored on S3 to point to the most recent training data. To always point to the latest data, use something like: ```latest=$(curl https://s3.amazonaws.com/libpostal/training_data/latest)``` and use that variable in place of the date.
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Training data are stored on S3 by the date they were created. There's also a file stored on S3 to point to the most recent training data. To always point to the latest data, use something like: ```latest=$(curl https://s3.amazonaws.com/libpostal/training_data/latest)``` and use that variable in place of the date.
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**Parser training data**
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### Parser training data ###
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All files can be found at s3://libpostal/training_data/YYYY-MM-DD/parser/ as gzip'd tab-separated values (TSV) files formatted as ```language\tcountry\tformatted_address```.
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All files can be found at s3://libpostal/training_data/YYYY-MM-DD/parser/ as gzip'd tab-separated values (TSV) files formatted as ```language\tcountry\tformatted_address```.
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- **formatted_addresses_tagged.random.tsv.gz** (ODBL): OSM addresses. Apartments, PO boxes, categories, etc. are added primarily to these examples
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- **formatted_addresses_tagged.random.tsv.gz** (ODBL): OSM addresses. Apartments, PO boxes, categories, etc. are added primarily to these examples
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@@ -4259,6 +4259,10 @@ countries:
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state: South Dakota
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state: South Dakota
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files:
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files:
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- filename: city_of_sioux_falls.csv
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- filename: city_of_sioux_falls.csv
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- filename: fall_river.csv
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add_osm_boundaries: true
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city_replacements:
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state_district: Fall River County
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- filename: lawrence.csv
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- filename: lawrence.csv
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add_osm_boundaries: true
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add_osm_boundaries: true
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city_replacements:
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city_replacements:
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