From e4290a489f6e73c3ad25d536805965aef2cbc32c Mon Sep 17 00:00:00 2001 From: Al Date: Mon, 3 Apr 2017 16:15:21 -0400 Subject: [PATCH] [openaddresses] Fall River County, SD --- README.md | 2 +- resources/parser/data_sets/openaddresses.yaml | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a5097938..e4230a36 100644 --- a/README.md +++ b/README.md @@ -399,7 +399,7 @@ Libpostal is a bit different because it's trained on open data that's available 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. -**Parser training data** +### Parser training data ### 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```. - **formatted_addresses_tagged.random.tsv.gz** (ODBL): OSM addresses. Apartments, PO boxes, categories, etc. are added primarily to these examples diff --git a/resources/parser/data_sets/openaddresses.yaml b/resources/parser/data_sets/openaddresses.yaml index 2e0c279d..63b69681 100644 --- a/resources/parser/data_sets/openaddresses.yaml +++ b/resources/parser/data_sets/openaddresses.yaml @@ -4259,6 +4259,10 @@ countries: state: South Dakota files: - filename: city_of_sioux_falls.csv + - filename: fall_river.csv + add_osm_boundaries: true + city_replacements: + state_district: Fall River County - filename: lawrence.csv add_osm_boundaries: true city_replacements: