Upload the entire dataset.
Browse files- geosql_dataset/ddl/01-state.txt +21 -0
- geosql_dataset/ddl/02-county.txt +23 -0
- geosql_dataset/ddl/03-coastline.txt +8 -0
- geosql_dataset/ddl/04-metropolitan.txt +21 -0
- geosql_dataset/ddl/05-roads.txt +10 -0
- geosql_dataset/ddl/06-military.txt +12 -0
- geosql_dataset/ddl/07-railways.txt +9 -0
- geosql_dataset/geosql-dataset .csv +934 -0
- geosql_dataset/load_tables.sh +25 -0
- geosql_dataset/readme.txt +20 -0
- geosql_dataset/tiger_files/tl_2023_us_cbsa.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_coastline.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_county.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_mil.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_primaryroads.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_rails.zip +3 -0
- geosql_dataset/tiger_files/tl_2023_us_state.zip +3 -0
geosql_dataset/ddl/01-state.txt
ADDED
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+
CREATE TABLE public.tl_2023_us_state (
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gid serial4 NOT NULL,
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+
region varchar(2) NULL,
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+
division varchar(2) NULL,
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+
statefp varchar(2) NULL,
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statens varchar(8) NULL,
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geoid varchar(2) NULL,
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geoidfq varchar(11) NULL,
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| 9 |
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stusps varchar(2) NULL,
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"name" varchar(100) NULL,
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lsad varchar(2) NULL,
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mtfcc varchar(5) NULL,
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funcstat varchar(1) NULL,
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aland float8 NULL,
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awater float8 NULL,
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intptlat varchar(11) NULL,
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intptlon varchar(12) NULL,
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geom public.geometry(multipolygon, 4269) NULL,
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CONSTRAINT tl_2023_us_state_pkey PRIMARY KEY (gid)
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);
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+
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geosql_dataset/ddl/02-county.txt
ADDED
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CREATE TABLE public.tl_2023_us_county (
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gid serial4 NOT NULL,
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statefp varchar(2) NULL,
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countyfp varchar(3) NULL,
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countyns varchar(8) NULL,
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geoid varchar(5) NULL,
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geoidfq varchar(14) NULL,
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"name" varchar(100) NULL,
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namelsad varchar(100) NULL,
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lsad varchar(2) NULL,
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classfp varchar(2) NULL,
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mtfcc varchar(5) NULL,
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csafp varchar(3) NULL,
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cbsafp varchar(5) NULL,
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metdivfp varchar(5) NULL,
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funcstat varchar(1) NULL,
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aland float8 NULL,
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awater float8 NULL,
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intptlat varchar(11) NULL,
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intptlon varchar(12) NULL,
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geom public.geometry(multipolygon, 4269) NULL,
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CONSTRAINT tl_2023_us_county_pkey PRIMARY KEY (gid)
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);
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geosql_dataset/ddl/03-coastline.txt
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CREATE TABLE public.tl_2023_us_coastline (
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gid serial4 NOT NULL,
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"name" varchar(100) NULL,
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mtfcc varchar(5) NULL,
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geom public.geometry(multilinestring, 4269) NULL,
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CONSTRAINT tl_2023_us_coastline_pkey PRIMARY KEY (gid)
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);
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--A single coastline is divided into different fragments which same name for fragments of the coastline.
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geosql_dataset/ddl/04-metropolitan.txt
ADDED
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CREATE TABLE public.tl_2023_us_cbsa (
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gid serial4 NOT NULL,
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csafp varchar(3) NULL,
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cbsafp varchar(5) NULL,
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geoid varchar(5) NULL,
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geoidfq varchar(14) NULL,
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"name" varchar(100) NULL,
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namelsad varchar(100) NULL,
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lsad varchar(2) NULL,
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memi varchar(1) NULL,
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mtfcc varchar(5) NULL,
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aland float8 NULL,
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awater float8 NULL,
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intptlat varchar(11) NULL,
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intptlon varchar(12) NULL,
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geom public.geometry(multipolygon, 4269) NULL,
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CONSTRAINT tl_2023_us_cbsa_pkey PRIMARY KEY (gid)
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);
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--This table contains data on both metropolitan and micropolitan areas.
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--To filter metropolitan areas only you need to look at the entries where lsad='M1'
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--To filter micropolitan areas only you need to look at the entries where lsad='M2'
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geosql_dataset/ddl/05-roads.txt
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CREATE TABLE public.tl_2023_us_primaryroads (
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gid serial4 NOT NULL,
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linearid varchar(22) NULL,
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fullname varchar(100) NULL,
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rttyp varchar(1) NULL,
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mtfcc varchar(5) NULL,
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geom public.geometry(multilinestring, 4269) NULL,
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CONSTRAINT tl_2023_us_primaryroads_pkey PRIMARY KEY (gid)
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);
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--A single road is divided among multiple rows with same 'fullname' attribute.
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geosql_dataset/ddl/06-military.txt
ADDED
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CREATE TABLE public.tl_2023_us_mil (
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gid serial4 NOT NULL,
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areaid varchar(22) NULL,
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fullname varchar(100) NULL,
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mtfcc varchar(5) NULL,
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aland float8 NULL,
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awater float8 NULL,
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intptlat varchar(11) NULL,
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intptlon varchar(12) NULL,
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geom public.geometry(multipolygon, 4269) NULL,
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CONSTRAINT tl_2023_us_mil_pkey PRIMARY KEY (gid)
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);
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geosql_dataset/ddl/07-railways.txt
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CREATE TABLE public.tl_2023_us_rails (
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gid serial4 NOT NULL,
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linearid varchar(22) NULL,
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fullname varchar(100) NULL,
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mtfcc varchar(5) NULL,
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geom public.geometry(multilinestring, 4269) NULL,
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CONSTRAINT tl_2023_us_rails_pkey PRIMARY KEY (gid)
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);
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--A single railways is divided into multiple rows with fullname common among them.
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geosql_dataset/geosql-dataset .csv
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|
| 1 |
+
natural_query,ddl,sql_query
|
| 2 |
+
"give me a list of 5 closest primary roads near the property located at 7300 20th St Lot 39, Vero Beach, FL 32966.",05-roads.txt,"with property as (
|
| 3 |
+
SELECT
|
| 4 |
+
ST_X(geomout) as lon,
|
| 5 |
+
ST_Y(geomout) as lat
|
| 6 |
+
from geocode('7300 20th St Lot 39, Vero Beach, FL 32966')
|
| 7 |
+
limit 1
|
| 8 |
+
)
|
| 9 |
+
select fullname, linearid, geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography as dist
|
| 10 |
+
from public.tl_2023_us_primaryroads, property
|
| 11 |
+
order by dist
|
| 12 |
+
Limit 5;"
|
| 13 |
+
"which is the closest primary road from 7300 20th St Lot 39, Vero Beach, FL 32966 and how far is it?",05-roads.txt,"with property as (
|
| 14 |
+
SELECT
|
| 15 |
+
ST_X(geomout) as lon,
|
| 16 |
+
ST_Y(geomout) as lat
|
| 17 |
+
from geocode('7300 20th St Lot 39, Vero Beach, FL 32966')
|
| 18 |
+
limit 1
|
| 19 |
+
)
|
| 20 |
+
select fullname, geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography as dist
|
| 21 |
+
from public.tl_2023_us_primaryroads, property
|
| 22 |
+
order by dist
|
| 23 |
+
Limit 1;"
|
| 24 |
+
give me a list of 5 longest primary roads in the united states.,05-roads.txt,"select fullname, sum(st_length(geom::geography)) as total_length
|
| 25 |
+
from public.tl_2023_us_primaryroads
|
| 26 |
+
group by fullname
|
| 27 |
+
order by total_length desc
|
| 28 |
+
Limit 5;"
|
| 29 |
+
how many primary roads are there in the state of florida?,"05-roads.txt,01-state.txt","with state as (
|
| 30 |
+
select geom as state_geom
|
| 31 |
+
from public.tl_2023_us_state
|
| 32 |
+
where name ilike '%florida%'
|
| 33 |
+
limit 1
|
| 34 |
+
)
|
| 35 |
+
select count(*) as num_primary_roads
|
| 36 |
+
from public.tl_2023_us_primaryroads, state
|
| 37 |
+
where st_contains(state_geom, geom);"
|
| 38 |
+
which is the longest primary road in florida?,"05-roads.txt,01-state.txt","with state as (
|
| 39 |
+
select geom as state_geom
|
| 40 |
+
from public.tl_2023_us_state
|
| 41 |
+
where name ilike '%florida%'
|
| 42 |
+
limit 1
|
| 43 |
+
)
|
| 44 |
+
select fullname, st_length(geom::geography) as length
|
| 45 |
+
from public.tl_2023_us_primaryroads, state
|
| 46 |
+
where st_contains(state_geom, geom)
|
| 47 |
+
order by st_length(geom::geography) desc
|
| 48 |
+
limit 1;"
|
| 49 |
+
how many primary roads are present in Madison County?,"05-roads.txt,02-county.txt","with county as (
|
| 50 |
+
select geom as county_geom
|
| 51 |
+
from public.tl_2023_us_county
|
| 52 |
+
where namelsad ilike '%madison%'
|
| 53 |
+
limit 1
|
| 54 |
+
)
|
| 55 |
+
select count(*) as num_primary_roads
|
| 56 |
+
from public.tl_2023_us_primaryroads, county
|
| 57 |
+
where st_contains(county_geom, geom)
|
| 58 |
+
limit 1;
|
| 59 |
+
"
|
| 60 |
+
which is the longest primary road in Bronx county?,"05-roads.txt,02-county.txt","with state as (
|
| 61 |
+
select geom as county_geom
|
| 62 |
+
from public.tl_2023_us_county
|
| 63 |
+
where name ilike '%bronx%'
|
| 64 |
+
limit 1
|
| 65 |
+
)
|
| 66 |
+
select fullname, st_length(geom::geography) as length
|
| 67 |
+
from public.tl_2023_us_primaryroads, state
|
| 68 |
+
where st_contains(county_geom, geom)
|
| 69 |
+
order by st_length(geom::geography) desc
|
| 70 |
+
limit 1;"
|
| 71 |
+
what is the total length of primary roads in Florida?,"05-roads.txt,01-state.txt","with state as (
|
| 72 |
+
select geom as state_geom
|
| 73 |
+
from public.tl_2023_us_state
|
| 74 |
+
where name ilike '%florida%'
|
| 75 |
+
limit 1
|
| 76 |
+
)
|
| 77 |
+
select sum(st_length(geom::geography)) as road_length_florida
|
| 78 |
+
from tl_2023_us_primaryroads, state
|
| 79 |
+
where st_contains(state.state_geom, geom);
|
| 80 |
+
"
|
| 81 |
+
what percentage of the primary roads are in California?,"05-roads.txt,01-state.txt","with state as (
|
| 82 |
+
select geom as state_geom
|
| 83 |
+
from public.tl_2023_us_state
|
| 84 |
+
where name ilike '%california%'
|
| 85 |
+
limit 1
|
| 86 |
+
),
|
| 87 |
+
us_total as (
|
| 88 |
+
select count(*) as roads_in_us
|
| 89 |
+
from public.tl_2023_us_primaryroads
|
| 90 |
+
),
|
| 91 |
+
california_total as (
|
| 92 |
+
select count(public.tl_2023_us_primaryroads.gid) as roads_in_california
|
| 93 |
+
from public.tl_2023_us_primaryroads, state
|
| 94 |
+
where st_contains(state.state_geom, public.tl_2023_us_primaryroads.geom)
|
| 95 |
+
)
|
| 96 |
+
select (us_total.roads_in_us::float / california_total.roads_in_california::float) as percentage
|
| 97 |
+
from us_total, california_total"
|
| 98 |
+
in which state does I-77 highway lie?,"05-roads.txt,01-state.txt","with road as (
|
| 99 |
+
select geom as road_geom
|
| 100 |
+
from public.tl_2023_us_primaryroads tup
|
| 101 |
+
where fullname ilike '%I- 77%'
|
| 102 |
+
limit 1
|
| 103 |
+
)
|
| 104 |
+
select name
|
| 105 |
+
from public.tl_2023_us_state, road
|
| 106 |
+
where st_contains(geom, road.road_geom)
|
| 107 |
+
limit 1;"
|
| 108 |
+
which is the biggest metropolitan city in US?,04-metropolitan.txt,"select geoid, name, st_area(geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 109 |
+
from public.tl_2023_us_cbsa
|
| 110 |
+
where lsad = 'M1'
|
| 111 |
+
order by st_area(geom::geography) desc
|
| 112 |
+
limit 1;"
|
| 113 |
+
What is the area of New York metropolitan city?,04-metropolitan.txt,"select geoid, name, st_area(geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 114 |
+
from public.tl_2023_us_cbsa
|
| 115 |
+
where name ilike '%New York%';"
|
| 116 |
+
"Is the 8336 104th Ct, Vero Beach, FL 32967 located in a metropolitan statistical area?",04-metropolitan.txt,"with property as (
|
| 117 |
+
SELECT
|
| 118 |
+
ST_X(geomout) as lon,
|
| 119 |
+
ST_Y(geomout) as lat
|
| 120 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 121 |
+
limit 1
|
| 122 |
+
)
|
| 123 |
+
select geoid, name
|
| 124 |
+
from tl_2023_us_cbsa, property
|
| 125 |
+
where st_contains(geom, st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269));"
|
| 126 |
+
How many metropolitan statistical areas are in Florida state?,"04-metropolitan.txt,01-state.txt","with florida_state as (
|
| 127 |
+
select geom
|
| 128 |
+
from tl_2023_us_state
|
| 129 |
+
where name ilike '%florida%'
|
| 130 |
+
limit 1
|
| 131 |
+
)
|
| 132 |
+
select count(*) as num_metro_areas_florida
|
| 133 |
+
from tl_2023_us_cbsa, florida_state
|
| 134 |
+
where st_contains(florida_state.geom, tl_2023_us_cbsa.geom) and lsad = 'M1';"
|
| 135 |
+
"Which is the nearest metropolitan statistical area from the property located at 8336 104th Ct, Vero Beach, FL 32967?",04-metropolitan.txt,"with property as (
|
| 136 |
+
SELECT
|
| 137 |
+
ST_X(geomout) as lon,
|
| 138 |
+
ST_Y(geomout) as lat
|
| 139 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 140 |
+
limit 1
|
| 141 |
+
)
|
| 142 |
+
select name, geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography as dist
|
| 143 |
+
from public.tl_2023_us_cbsa, property
|
| 144 |
+
where tl_2023_us_cbsa.lsad = 'M1'
|
| 145 |
+
order by dist asc
|
| 146 |
+
limit 1;"
|
| 147 |
+
List 5 most biggest metropolitan areas in California.,"04-metropolitan.txt,01-state.txt","with cal_state as (
|
| 148 |
+
select geom
|
| 149 |
+
from tl_2023_us_state
|
| 150 |
+
where name ilike '%california%'
|
| 151 |
+
limit 1
|
| 152 |
+
)
|
| 153 |
+
select geoid, name, st_area(tl_2023_us_cbsa.geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 154 |
+
from tl_2023_us_cbsa, cal_state
|
| 155 |
+
where st_contains(cal_state.geom, tl_2023_us_cbsa.geom) and lsad = 'M1'
|
| 156 |
+
order by st_area(tl_2023_us_cbsa.geom::geography) desc
|
| 157 |
+
limit 5;"
|
| 158 |
+
Where is New Haven metropolitan area located?,"04-metropolitan.txt,01-state.txt","with new_haven as (
|
| 159 |
+
select geom
|
| 160 |
+
from public.tl_2023_us_cbsa
|
| 161 |
+
where name ilike '%new haven%' and lsad = 'M1'
|
| 162 |
+
limit 1
|
| 163 |
+
)
|
| 164 |
+
select geoid, name
|
| 165 |
+
from tl_2023_us_state, new_haven
|
| 166 |
+
where st_contains(tl_2023_us_state.geom, new_haven.geom);"
|
| 167 |
+
Which state has the highest number of micropolitan areas?,"04-metropolitan.txt,01-state.txt","with state_to_micropolitan as (
|
| 168 |
+
select public.tl_2023_us_cbsa.name as micro_name,
|
| 169 |
+
public.tl_2023_us_cbsa.geom as micro_geom,
|
| 170 |
+
public.tl_2023_us_state.name as state_name,
|
| 171 |
+
public.tl_2023_us_state.geom as state_geom
|
| 172 |
+
from public.tl_2023_us_cbsa cross join public.tl_2023_us_state
|
| 173 |
+
where tl_2023_us_cbsa.lsad = 'M2'
|
| 174 |
+
)
|
| 175 |
+
select state_name, count(*) as n_micropolitans
|
| 176 |
+
from state_to_micropolitan
|
| 177 |
+
where st_contains(state_geom, micro_geom)
|
| 178 |
+
group by state_name
|
| 179 |
+
order by n_micropolitans desc
|
| 180 |
+
limit 1;"
|
| 181 |
+
Which state has the highest number of metropolitan areas?,"04-metropolitan.txt,01-state.txt","with state_to_metropolitan as (
|
| 182 |
+
select public.tl_2023_us_cbsa.name as metro_name,
|
| 183 |
+
public.tl_2023_us_cbsa.geom as metro_geom,
|
| 184 |
+
public.tl_2023_us_state.name as state_name,
|
| 185 |
+
public.tl_2023_us_state.geom as state_geom
|
| 186 |
+
from public.tl_2023_us_cbsa cross join public.tl_2023_us_state
|
| 187 |
+
where tl_2023_us_cbsa.lsad = 'M1'
|
| 188 |
+
)
|
| 189 |
+
select state_name, count(*) as n_metropolitans
|
| 190 |
+
from state_to_metropolitan
|
| 191 |
+
where st_contains(state_geom, metro_geom)
|
| 192 |
+
group by state_name
|
| 193 |
+
order by n_metropolitans desc
|
| 194 |
+
limit 1;"
|
| 195 |
+
"How far is the property at 8336 104th Ct, Vero Beach, FL 32967 from a major metropolitan city in US?",04-metropolitan.txt,"with property as (
|
| 196 |
+
SELECT
|
| 197 |
+
ST_X(geomout) as lon,
|
| 198 |
+
ST_Y(geomout) as lat
|
| 199 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 200 |
+
limit 1
|
| 201 |
+
)
|
| 202 |
+
select name, geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography as dist
|
| 203 |
+
from public.tl_2023_us_cbsa, property
|
| 204 |
+
where tl_2023_us_cbsa.lsad = 'M1'
|
| 205 |
+
order by dist asc
|
| 206 |
+
limit 1;"
|
| 207 |
+
List out all the metropolitan and micropolitan areas in the state of California.,"04-metropolitan.txt,01-state.txt","
|
| 208 |
+
with cal_state as (
|
| 209 |
+
select geom
|
| 210 |
+
from tl_2023_us_state
|
| 211 |
+
where name ilike '%california%'
|
| 212 |
+
limit 1
|
| 213 |
+
)
|
| 214 |
+
select geoid, name, lsad
|
| 215 |
+
from tl_2023_us_cbsa, cal_state
|
| 216 |
+
where st_contains(cal_state.geom, tl_2023_us_cbsa.geom);"
|
| 217 |
+
List out all the primary roads that pass through Mansfield Metropolitan Area.,"04-metropolitan.txt,05-roads.txt","with mansfield_metro as (
|
| 218 |
+
select name, geom
|
| 219 |
+
from tl_2023_us_cbsa
|
| 220 |
+
where name ilike '%mansfield%' and lsad = 'M1'
|
| 221 |
+
limit 1
|
| 222 |
+
)
|
| 223 |
+
select tl_2023_us_primaryroads.fullname
|
| 224 |
+
from public.tl_2023_us_primaryroads, mansfield_metro
|
| 225 |
+
where st_intersects(mansfield_metro.geom, tl_2023_us_primaryroads.geom)"
|
| 226 |
+
How many primary roads pass through Mansfield Metropolitan area.,"04-metropolitan.txt,05-roads.txt","with mansfield_metro as (
|
| 227 |
+
select name, geom
|
| 228 |
+
from tl_2023_us_cbsa
|
| 229 |
+
where name ilike '%mansfield%' and lsad = 'M1'
|
| 230 |
+
limit 1
|
| 231 |
+
)
|
| 232 |
+
select count(distinct tl_2023_us_primaryroads.fullname) as n_primaryroads
|
| 233 |
+
from public.tl_2023_us_primaryroads, mansfield_metro
|
| 234 |
+
where st_intersects(mansfield_metro.geom, tl_2023_us_primaryroads.geom);"
|
| 235 |
+
Which is the smallest metropolitan area in US?,04-metropolitan.txt,"select geoid, name, st_area(tl_2023_us_cbsa.geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 236 |
+
from public.tl_2023_us_cbsa
|
| 237 |
+
where lsad = 'M1'
|
| 238 |
+
order by st_area(tl_2023_us_cbsa.geom::geography) asc
|
| 239 |
+
limit 1;"
|
| 240 |
+
Which county has the highest number of micropolitan areas?,"04-metropolitan.txt,02-county.txt","with county_to_micropolitan as (
|
| 241 |
+
select public.tl_2023_us_cbsa.name as micro_name,
|
| 242 |
+
public.tl_2023_us_cbsa.geom as micro_geom,
|
| 243 |
+
public.tl_2023_us_county.name as county_name,
|
| 244 |
+
public.tl_2023_us_county.geom as county_geom
|
| 245 |
+
from public.tl_2023_us_cbsa cross join public.tl_2023_us_county
|
| 246 |
+
where tl_2023_us_cbsa.lsad = 'M2'
|
| 247 |
+
)
|
| 248 |
+
select county_name, count(*) as n_micropolitans
|
| 249 |
+
from county_to_micropolitan
|
| 250 |
+
where st_contains(county_geom, micro_geom)
|
| 251 |
+
group by county_name
|
| 252 |
+
order by n_micropolitans desc
|
| 253 |
+
limit 1;"
|
| 254 |
+
What is the total count of metropolitan areas in US?,04-metropolitan.txt,"select count(*) as n_metropolitans
|
| 255 |
+
from tl_2023_us_cbsa
|
| 256 |
+
where lsad = 'M1';"
|
| 257 |
+
Provide me a list of US states with its metropolitan areas count.,"04-metropolitan.txt,01-state.txt","with state_to_metropolitan as (
|
| 258 |
+
select public.tl_2023_us_cbsa.name as metro_name,
|
| 259 |
+
public.tl_2023_us_cbsa.geom as metro_geom,
|
| 260 |
+
public.tl_2023_us_state.name as state_name,
|
| 261 |
+
public.tl_2023_us_state.geom as state_geom
|
| 262 |
+
from public.tl_2023_us_cbsa cross join public.tl_2023_us_state
|
| 263 |
+
where tl_2023_us_cbsa.lsad = 'M1'
|
| 264 |
+
)
|
| 265 |
+
select state_name, count(*)
|
| 266 |
+
from state_to_metropolitan
|
| 267 |
+
where st_contains(state_geom, metro_geom)
|
| 268 |
+
group by state_name;"
|
| 269 |
+
What is the total count of micropolitan areas in US?,04-metropolitan.txt,"select count(*) as n_micropolitans
|
| 270 |
+
from tl_2023_us_cbsa
|
| 271 |
+
where lsad = 'M2';"
|
| 272 |
+
Which is the smallest metropolitan area in Florida?,04-metropolitan.txt,"select geoid, name
|
| 273 |
+
from tl_2023_us_cbsa
|
| 274 |
+
where lsad = 'M1'
|
| 275 |
+
order by st_area(geom::geography) asc
|
| 276 |
+
limit 1;"
|
| 277 |
+
Which are the closest metropolitan cities in Florida?,04-metropolitan.txt,"with florida as (
|
| 278 |
+
select name, geom
|
| 279 |
+
from tl_2023_us_state
|
| 280 |
+
where name ilike '%florida%'
|
| 281 |
+
limit 1
|
| 282 |
+
)
|
| 283 |
+
select t1.name as area_1, t2.name as area_2, t1.geom::geography <-> t2.geom::geography as distance
|
| 284 |
+
from tl_2023_us_cbsa as t1 cross join tl_2023_us_cbsa as t2, florida
|
| 285 |
+
where t1.lsad = 'M1' and t2.lsad = 'M1' and st_contains(florida.geom, t1.geom) and st_contains(florida.geom, t2.geom)
|
| 286 |
+
and t1.geoid <> t2.geoid
|
| 287 |
+
order by t1.geom <-> t2.geom asc
|
| 288 |
+
limit 5;"
|
| 289 |
+
What are the neighboring states of Florida?,01-state.txt,"with florida as (
|
| 290 |
+
select name, geom
|
| 291 |
+
from tl_2023_us_state
|
| 292 |
+
where name ilike '%florida%'
|
| 293 |
+
limit 1
|
| 294 |
+
)
|
| 295 |
+
select tl_2023_us_state.name
|
| 296 |
+
from public.tl_2023_us_state, florida
|
| 297 |
+
where st_intersects(florida.geom, tl_2023_us_state.geom) and florida.name <> tl_2023_us_state.name;"
|
| 298 |
+
What is the area of Florida state?,01-state.txt,"select name, st_area(geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 299 |
+
from tl_2023_us_state
|
| 300 |
+
where name ilike '%florida%';"
|
| 301 |
+
Give me a list of 5 biggest US states.,01-state.txt,"select name, st_area(geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 302 |
+
from tl_2023_us_state
|
| 303 |
+
order by st_area(geom::geography) desc
|
| 304 |
+
limit 5;"
|
| 305 |
+
Which state has the highest water-to-total-area ratio?,01-state.txt,"select name
|
| 306 |
+
from tl_2023_us_state
|
| 307 |
+
order by awater / aland desc
|
| 308 |
+
limit 1;"
|
| 309 |
+
What is the average distance between the states of Michigan and North Dakota?,01-state.txt,"select st_distance(s1.geom, s2.geom) as distance
|
| 310 |
+
from tl_2023_us_state as s1 cross join tl_2023_us_state as s2
|
| 311 |
+
where s1.name ilike '%michigan%' and s2.name ilike '%north dakota%'
|
| 312 |
+
limit 1;"
|
| 313 |
+
Provide me a list of US states with count of primary roads it has.,"01-state.txt,05-roads.txt","select states.name as state_name, count(distinct roads.fullname)
|
| 314 |
+
from tl_2023_us_state as states cross join tl_2023_us_primaryroads as roads
|
| 315 |
+
where st_contains(states.geom, roads.geom)
|
| 316 |
+
group by state_name;"
|
| 317 |
+
Which state has the highest number of counties?,"01-state.txt,02-county.txt","select states.name as state_name, count(distinct counties.name) as n_counties
|
| 318 |
+
from tl_2023_us_state as states cross join tl_2023_us_county as counties
|
| 319 |
+
where st_contains(states.geom, counties.geom)
|
| 320 |
+
group by state_name
|
| 321 |
+
order by n_counties desc
|
| 322 |
+
limit 1;"
|
| 323 |
+
List out 10 nearest states from New York.,01-state.txt,"with newyork as (
|
| 324 |
+
select geoid, geom
|
| 325 |
+
from tl_2023_us_state
|
| 326 |
+
where name ilike '%new york%'
|
| 327 |
+
limit 1
|
| 328 |
+
)
|
| 329 |
+
select name
|
| 330 |
+
from tl_2023_us_state, newyork
|
| 331 |
+
where newyork.geoid <> tl_2023_us_state.geoid
|
| 332 |
+
order by tl_2023_us_state.geom <-> newyork.geom asc
|
| 333 |
+
limit 10;"
|
| 334 |
+
"Which US state contains the coordinates 19.2, -155.4?",01-state.txt,"select name
|
| 335 |
+
from tl_2023_us_state
|
| 336 |
+
where st_contains(geom, st_transform(st_setsrid(st_point(-155.4, 19.2), 4326),4269))
|
| 337 |
+
limit 1;"
|
| 338 |
+
Which state is Andrews County located in?,"01-state.txt,02-county.txt","with andrews as (
|
| 339 |
+
select geom
|
| 340 |
+
from tl_2023_us_county
|
| 341 |
+
where name ilike '%andrews%'
|
| 342 |
+
limit 1
|
| 343 |
+
)
|
| 344 |
+
select name
|
| 345 |
+
from tl_2023_us_state, andrews
|
| 346 |
+
where st_contains(tl_2023_us_state.geom, andrews.geom)
|
| 347 |
+
limit 1;"
|
| 348 |
+
What are the neighboring counties of Andrews County?,02-county.txt,"with andrews as (
|
| 349 |
+
select geoid, geom
|
| 350 |
+
from tl_2023_us_county
|
| 351 |
+
where name ilike '%andrews%'
|
| 352 |
+
limit 1
|
| 353 |
+
)
|
| 354 |
+
select name
|
| 355 |
+
from tl_2023_us_county, andrews
|
| 356 |
+
where st_intersects(tl_2023_us_county.geom, andrews.geom) and andrews.geoid <> tl_2023_us_county.geoid;"
|
| 357 |
+
Which county has the highest water-to-total-area ratio?,02-county.txt,"select name
|
| 358 |
+
from tl_2023_us_county
|
| 359 |
+
order by awater / aland desc
|
| 360 |
+
limit 1;"
|
| 361 |
+
Provide me a list of US states with total number of counties it has.,"01-state.txt,02-county.txt","select state.name as state_name, count(distinct county.name) as county_name
|
| 362 |
+
from tl_2023_us_state as state cross join tl_2023_us_county as county
|
| 363 |
+
where st_contains(state.geom, county.geom)
|
| 364 |
+
group by state_name;"
|
| 365 |
+
Which is the third largest county in United States?,02-county.txt,"select name
|
| 366 |
+
from tl_2023_us_county
|
| 367 |
+
order by st_area(geom) desc
|
| 368 |
+
limit 1 offset 2;"
|
| 369 |
+
Which is the largest county that also has a metropolitan area?,"02-county.txt,04-metropolitan.txt","select county.name, st_area(county.geom)
|
| 370 |
+
from tl_2023_us_county as county cross join tl_2023_us_cbsa as metro
|
| 371 |
+
where metro.lsad = 'M1' and st_contains(county.geom, metro.geom)
|
| 372 |
+
order by st_area(county.geom) desc
|
| 373 |
+
limit 1;"
|
| 374 |
+
How many primary roads does Andrews County have?,"02-county.txt,05-roads.txt","with andrews as (
|
| 375 |
+
select geoid, geom
|
| 376 |
+
from tl_2023_us_county
|
| 377 |
+
where name ilike '%andrews%'
|
| 378 |
+
limit 1
|
| 379 |
+
)
|
| 380 |
+
select count(distinct fullname)
|
| 381 |
+
from tl_2023_us_primaryroads, andrews
|
| 382 |
+
where st_contains(andrews.geom, tl_2023_us_primaryroads.geom);
|
| 383 |
+
"
|
| 384 |
+
"Which county is the property 8336 104th Ct, Vero Beach, FL 32967 located in?",02-county.txt,"with property as (
|
| 385 |
+
SELECT
|
| 386 |
+
ST_X(geomout) as lon,
|
| 387 |
+
ST_Y(geomout) as lat
|
| 388 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 389 |
+
limit 1
|
| 390 |
+
)
|
| 391 |
+
select name
|
| 392 |
+
from property, tl_2023_us_county
|
| 393 |
+
where st_contains(tl_2023_us_county.geom, st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269));"
|
| 394 |
+
"List out 5 neighboring counties of the county where property at 8336 104th Ct, Vero Beach, FL 32967 is located?",02-county.txt,"with property as (
|
| 395 |
+
SELECT
|
| 396 |
+
ST_X(geomout) as lon,
|
| 397 |
+
ST_Y(geomout) as lat
|
| 398 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 399 |
+
limit 1
|
| 400 |
+
)
|
| 401 |
+
select name
|
| 402 |
+
from property, public.tl_2023_us_county
|
| 403 |
+
order by tl_2023_us_county.geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269) asc
|
| 404 |
+
limit 5 offset 1;"
|
| 405 |
+
Which is the smallest county in Michigan?,"01-state.txt,02-county.txt","with michigan as (
|
| 406 |
+
select geoid, geom
|
| 407 |
+
from tl_2023_us_state
|
| 408 |
+
where name ilike '%michigan%'
|
| 409 |
+
limit 1
|
| 410 |
+
)
|
| 411 |
+
select tl_2023_us_county.name
|
| 412 |
+
from michigan, tl_2023_us_county
|
| 413 |
+
where st_contains(michigan.geom, tl_2023_us_county.geom)
|
| 414 |
+
order by st_area(tl_2023_us_county.geom) asc
|
| 415 |
+
limit 1;"
|
| 416 |
+
40. How many counties are there in California state and what are they?,"01-state.txt,02-county.txt","with california as (
|
| 417 |
+
select geoid, geom
|
| 418 |
+
from tl_2023_us_state
|
| 419 |
+
where name ilike '%california%'
|
| 420 |
+
limit 1
|
| 421 |
+
)
|
| 422 |
+
select count(distinct county.name) as n_counties
|
| 423 |
+
from california, tl_2023_us_county as county
|
| 424 |
+
where st_contains(california.geom, county.geom);"
|
| 425 |
+
What is the total length of coastline in Florida?,"01-state.txt,03-coastline.txt","with florida as (
|
| 426 |
+
select geoid, geom
|
| 427 |
+
from tl_2023_us_state
|
| 428 |
+
where name ilike '%florida%'
|
| 429 |
+
limit 1
|
| 430 |
+
)
|
| 431 |
+
select sum(st_length(coastline.geom::geography))/1000 as total_length_km
|
| 432 |
+
from florida, tl_2023_us_coastline as coastline
|
| 433 |
+
where st_intersects(florida.geom, coastline.geom);"
|
| 434 |
+
Which state has the longest coastline?,"01-state.txt,03-coastline.txt","select state.name, sum(st_length(coastline.geom::geography))/1000 as coastline_len_km
|
| 435 |
+
from tl_2023_us_state as state cross join tl_2023_us_coastline as coastline
|
| 436 |
+
where st_intersects(state.geom, coastline.geom)
|
| 437 |
+
group by state.name
|
| 438 |
+
order by sum(st_length(coastline.geom::geography)) desc
|
| 439 |
+
limit 1;"
|
| 440 |
+
Which is the longest coastline in Florida?,"01-state.txt,02-county.txt,03-coastline.txt","with florida as (
|
| 441 |
+
select geoid, geom
|
| 442 |
+
from tl_2023_us_state
|
| 443 |
+
where name ilike '%florida%'
|
| 444 |
+
limit 1
|
| 445 |
+
)
|
| 446 |
+
select coastline.name, sum(st_length(coastline.geom::geography))/1000 as length_km
|
| 447 |
+
from florida, public.tl_2023_us_coastline as coastline
|
| 448 |
+
where st_contains(florida.geom, coastline.geom)
|
| 449 |
+
group by coastline.name
|
| 450 |
+
order by length_km desc
|
| 451 |
+
limit 1;"
|
| 452 |
+
List out counties in Florida are exposed to a sea/ocean.,"01-state.txt,03-coastline.txt","with florida as (
|
| 453 |
+
select geoid, geom
|
| 454 |
+
from tl_2023_us_state
|
| 455 |
+
where name ilike '%florida%'
|
| 456 |
+
limit 1
|
| 457 |
+
)
|
| 458 |
+
select county.name, count(distinct coastline.name)
|
| 459 |
+
from public.tl_2023_us_county as county cross join public.tl_2023_us_coastline as coastline, florida
|
| 460 |
+
where st_intersects(county.geom, coastline.geom) and st_contains(florida.geom, county.geom)
|
| 461 |
+
group by county.name;"
|
| 462 |
+
How many US states are exposed to a sea/ocean?,"01-state.txt,03-coastline.txt","select state.name
|
| 463 |
+
from tl_2023_us_state as state cross join tl_2023_us_coastline as coastline
|
| 464 |
+
where st_intersects(state.geom, coastline.geom)
|
| 465 |
+
group by state.name;"
|
| 466 |
+
How many US counties are exposed to sea?,"02-county.txt,03-coastline.txt","select count(distinct county.name)
|
| 467 |
+
from tl_2023_us_county as county cross join tl_2023_us_coastline as coastline
|
| 468 |
+
where st_intersects(county.geom, coastline.geom);"
|
| 469 |
+
Which is the largest landlocked state in US?,"01-state.txt,03-coastline.txt","with states_with_coastline as (
|
| 470 |
+
select distinct state.name
|
| 471 |
+
from tl_2023_us_state as state cross join tl_2023_us_coastline as coastline
|
| 472 |
+
where st_contains(state.geom, coastline.geom)
|
| 473 |
+
)
|
| 474 |
+
select state.name, st_area(state.geom::geography)
|
| 475 |
+
from tl_2023_us_state as state, states_with_coastline
|
| 476 |
+
where state.name not in (select name from states_with_coastline)
|
| 477 |
+
order by st_area(state.geom) desc
|
| 478 |
+
limit 1;"
|
| 479 |
+
Which is the largest landlocked county in US?,"02-county.txt,03-coastline.txt","with county_with_coastline as (
|
| 480 |
+
select distinct county.name
|
| 481 |
+
from tl_2023_us_county as county cross join tl_2023_us_coastline as coastline
|
| 482 |
+
where st_contains(county.geom, coastline.geom)
|
| 483 |
+
)
|
| 484 |
+
select county.name, st_area(county.geom::geography)
|
| 485 |
+
from tl_2023_us_county as county, county_with_coastline
|
| 486 |
+
where county.name not in (select name from county_with_coastline)
|
| 487 |
+
order by st_area(county.geom) desc
|
| 488 |
+
limit 1;"
|
| 489 |
+
Which is the name of longest coastline in US?,03-coastline.txt,"select name, sum(st_length(geom::geography)) as tot_length
|
| 490 |
+
from tl_2023_us_coastline
|
| 491 |
+
group by name
|
| 492 |
+
order by tot_length desc
|
| 493 |
+
limit 1;"
|
| 494 |
+
Which is the shortest coastline in US?,03-coastline.txt,"select name, sum(st_length(geom::geography)) as tot_length
|
| 495 |
+
from tl_2023_us_coastline
|
| 496 |
+
group by name
|
| 497 |
+
order by tot_length asc
|
| 498 |
+
limit 1;"
|
| 499 |
+
Which is the longest coastline in New York?,"01-state.txt,03-coastline.txt","with new_york as (
|
| 500 |
+
select geoid, geom
|
| 501 |
+
from tl_2023_us_state
|
| 502 |
+
where name ilike '%new york%'
|
| 503 |
+
limit 1
|
| 504 |
+
)
|
| 505 |
+
select coastline.name, sum(st_length(coastline.geom::geography)) as length_meter
|
| 506 |
+
from tl_2023_us_coastline as coastline, new_york
|
| 507 |
+
where st_intersects(new_york.geom, coastline.geom)
|
| 508 |
+
group by coastline.name
|
| 509 |
+
order by length_meter desc
|
| 510 |
+
limit 1;"
|
| 511 |
+
What states do the longest coastline in US belong to?,"01-state.txt,03-coastline.txt","with longest_coastline as (
|
| 512 |
+
select name, sum(st_length(geom::geography)) as total_length, st_collect(geom) as geom
|
| 513 |
+
from tl_2023_us_coastline
|
| 514 |
+
group by name
|
| 515 |
+
order by total_length
|
| 516 |
+
limit 1
|
| 517 |
+
)
|
| 518 |
+
select state.name
|
| 519 |
+
from longest_coastline, tl_2023_us_state as state
|
| 520 |
+
where st_intersects(longest_coastline.geom, state.geom);"
|
| 521 |
+
What is the length of shortest coastline in California?,"01-state.txt,03-coastline.txt","with california as (
|
| 522 |
+
select geoid, geom
|
| 523 |
+
from tl_2023_us_state
|
| 524 |
+
where name ilike '%california%'
|
| 525 |
+
limit 1
|
| 526 |
+
)
|
| 527 |
+
select coastline.name, sum(st_length(coastline.geom::geography))/1000 as length_km
|
| 528 |
+
from tl_2023_us_coastline as coastline, california
|
| 529 |
+
where st_intersects(california.geom, coastline.geom)
|
| 530 |
+
group by coastline.name
|
| 531 |
+
order by sum(st_length(coastline.geom::geography)) asc
|
| 532 |
+
limit 1;"
|
| 533 |
+
What is the length of longest coastline in California?,"01-state.txt,03-coastline.txt","with california as (
|
| 534 |
+
select geoid, geom
|
| 535 |
+
from tl_2023_us_state
|
| 536 |
+
where name ilike '%california%'
|
| 537 |
+
limit 1
|
| 538 |
+
)
|
| 539 |
+
select coastline.name, sum(st_length(coastline.geom::geography))/1000 as length_km
|
| 540 |
+
from tl_2023_us_coastline as coastline, california
|
| 541 |
+
where st_intersects(california.geom, coastline.geom)
|
| 542 |
+
group by coastline.name
|
| 543 |
+
order by sum(st_length(coastline.geom::geography)) desc
|
| 544 |
+
limit 1;"
|
| 545 |
+
What is the average length of a coastline in US?,03-coastline.txt,"with coastlines as (
|
| 546 |
+
select coastline.name, sum(st_length(coastline.geom::geography))/1000 as length_km
|
| 547 |
+
from tl_2023_us_coastline as coastline
|
| 548 |
+
group by coastline.name
|
| 549 |
+
)
|
| 550 |
+
select avg(coastlines.avg_length_km)
|
| 551 |
+
from coastlines;"
|
| 552 |
+
What is the average length of a coastline in Florida?,"01-state.txt,03-coastline.txt","with florida as (
|
| 553 |
+
select geoid, geom
|
| 554 |
+
from tl_2023_us_state
|
| 555 |
+
where name ilike '%florida%'
|
| 556 |
+
limit 1
|
| 557 |
+
),
|
| 558 |
+
coastlines as (
|
| 559 |
+
select coastline.name, sum(st_length(coastline.geom::geography))/1000 as length_km
|
| 560 |
+
from tl_2023_us_coastline as coastline, florida
|
| 561 |
+
where st_intersects(florida.geom, coastline.geom)
|
| 562 |
+
group by coastline.name
|
| 563 |
+
)
|
| 564 |
+
select avg(coastlines.length_km)
|
| 565 |
+
from coastlines;"
|
| 566 |
+
"How far is the nearest coastline from the property located at 8336 104th Ct, Vero Beach, FL 32967?",,"with property as (
|
| 567 |
+
SELECT
|
| 568 |
+
ST_X(geomout) as lon,
|
| 569 |
+
ST_Y(geomout) as lat
|
| 570 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 571 |
+
limit 1
|
| 572 |
+
)
|
| 573 |
+
select coastline.name, (geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography) / 1000 as dist_km
|
| 574 |
+
from property, tl_2023_us_coastline as coastline
|
| 575 |
+
order by dist_km asc
|
| 576 |
+
limit 1;"
|
| 577 |
+
"Is there any coastline within 1000 km radius of the location 8336 104th Ct, Vero Beach, FL 32967?",03-coastline.txt,"with property as (
|
| 578 |
+
SELECT
|
| 579 |
+
ST_X(geomout) as lon,
|
| 580 |
+
ST_Y(geomout) as lat
|
| 581 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 582 |
+
limit 1
|
| 583 |
+
)
|
| 584 |
+
select coastline.name, (geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography) / 1000 as dist_km
|
| 585 |
+
from property, tl_2023_us_coastline as coastline
|
| 586 |
+
order by dist_km asc
|
| 587 |
+
limit 1;"
|
| 588 |
+
How far is the nearest coastline from the state of Nevada?,"01-state.txt,03-coastline.txt","with nevada as (
|
| 589 |
+
select geoid, geom
|
| 590 |
+
from tl_2023_us_state
|
| 591 |
+
where name ilike '%nevada%'
|
| 592 |
+
limit 1
|
| 593 |
+
)
|
| 594 |
+
select coastline.name, (nevada.geom <-> coastline.geom) / 1000 as dist_km
|
| 595 |
+
from nevada, tl_2023_us_coastline as coastline
|
| 596 |
+
order by dist_km asc
|
| 597 |
+
limit 1;"
|
| 598 |
+
Where is Stone Ranch military resident located?,"01-state.txt,06-military.txt","with stone_ranch as (
|
| 599 |
+
select geom
|
| 600 |
+
from tl_2023_us_mil
|
| 601 |
+
where fullname ilike '%stone ranch%'
|
| 602 |
+
limit 1
|
| 603 |
+
)
|
| 604 |
+
select name
|
| 605 |
+
from tl_2023_us_state as state, stone_ranch
|
| 606 |
+
where st_contains(state.geom, stone_ranch.geom);"
|
| 607 |
+
Which state has the highest no of military residential areas?,"01-state.txt,06-military.txt","select state.name, count(military_areas.fullname) as num_military_areas
|
| 608 |
+
from tl_2023_us_state as state cross join tl_2023_us_mil as military_areas
|
| 609 |
+
where st_contains(state.geom, military_areas.geom)
|
| 610 |
+
group by state.name
|
| 611 |
+
order by num_military_areas desc
|
| 612 |
+
limit 1;"
|
| 613 |
+
Which is the largest military installation area?,06-military.txt,"select fullname
|
| 614 |
+
from tl_2023_us_mil
|
| 615 |
+
order by st_area(geom)
|
| 616 |
+
limit 1;"
|
| 617 |
+
How many military installation areas are present in California?,"01-state.txt,06-military.txt","with california as (
|
| 618 |
+
select geoid, geom
|
| 619 |
+
from tl_2023_us_state
|
| 620 |
+
where name ilike '%california%'
|
| 621 |
+
limit 1
|
| 622 |
+
)
|
| 623 |
+
select count(fullname) as num_military_areas
|
| 624 |
+
from public.tl_2023_us_mil as military_areas, california
|
| 625 |
+
where st_contains(california.geom, military_areas.geom);"
|
| 626 |
+
Which county has the highest number of military installations?,"02-county.txt,06-military.txt","select county.name, count(military_areas.fullname) as num_military_areas
|
| 627 |
+
from tl_2023_us_county as county cross join tl_2023_us_mil as military_areas
|
| 628 |
+
where st_contains(county.geom, military_areas.geom)
|
| 629 |
+
group by county.name
|
| 630 |
+
order by num_military_areas desc
|
| 631 |
+
limit 1;"
|
| 632 |
+
Provide me a list of all military installations in California with their areas.,"01-state.txt,06-military.txt","with california as (
|
| 633 |
+
select geoid, geom
|
| 634 |
+
from tl_2023_us_state
|
| 635 |
+
where name ilike '%california%'
|
| 636 |
+
limit 1
|
| 637 |
+
)
|
| 638 |
+
select military_areas.fullname, st_area(military_areas.geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 639 |
+
from public.tl_2023_us_mil as military_areas, california
|
| 640 |
+
where st_contains(california.geom, military_areas.geom);"
|
| 641 |
+
Which is the smallest military installation in US?,06-military.txt,"select fullname, st_area(geom::geography) * 0.3048 ^ 2 as area_sqm
|
| 642 |
+
from tl_2023_us_mil
|
| 643 |
+
order by st_area(geom) asc
|
| 644 |
+
limit 1;"
|
| 645 |
+
"How far is the nearest military installation from 8336 104th Ct, Vero Beach, FL 32967?",06-military.txt,"with property as (
|
| 646 |
+
SELECT
|
| 647 |
+
ST_X(geomout) as lon,
|
| 648 |
+
ST_Y(geomout) as lat
|
| 649 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 650 |
+
limit 1
|
| 651 |
+
)
|
| 652 |
+
select fullname, military_areas.geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography as dist
|
| 653 |
+
from property, public.tl_2023_us_mil as military_areas
|
| 654 |
+
order by dist asc
|
| 655 |
+
limit 1;"
|
| 656 |
+
"Are there any military installation within 1000km radius of 8336 104th Ct, Vero Beach, FL 32967?",06-military.txt,"with property as (
|
| 657 |
+
SELECT
|
| 658 |
+
ST_X(geomout) as lon,
|
| 659 |
+
ST_Y(geomout) as lat
|
| 660 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 661 |
+
limit 1
|
| 662 |
+
)
|
| 663 |
+
select fullname, (military_areas.geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography)/1000 as dist_km
|
| 664 |
+
from property, public.tl_2023_us_mil as military_areas
|
| 665 |
+
order by dist_km asc
|
| 666 |
+
limit 1;"
|
| 667 |
+
Which military installation has the highest water area occupancy?,06-military.txt,"select fullname
|
| 668 |
+
from tl_2023_us_mil
|
| 669 |
+
order by awater desc
|
| 670 |
+
limit 1;"
|
| 671 |
+
What percentage of military installations are purely based on land?,06-military.txt,"with all_military as (
|
| 672 |
+
select count(*) as total_areas
|
| 673 |
+
from tl_2023_us_mil
|
| 674 |
+
),
|
| 675 |
+
land_military as (
|
| 676 |
+
select count(*) as total_land
|
| 677 |
+
from tl_2023_us_mil
|
| 678 |
+
where awater = 0
|
| 679 |
+
)
|
| 680 |
+
select land_military.total_land::float / all_military.total_areas::float as percent_military
|
| 681 |
+
from all_military, land_military;"
|
| 682 |
+
Which county is Ft Riley located in?,"02-county.txt,06-military.txt","with fort_riley as (
|
| 683 |
+
select geom
|
| 684 |
+
from tl_2023_us_mil
|
| 685 |
+
where fullname ilike '%fort riley%'
|
| 686 |
+
limit 1
|
| 687 |
+
)
|
| 688 |
+
select county.name
|
| 689 |
+
from public.tl_2023_us_county as county, fort_riley
|
| 690 |
+
where st_contains(county.geom, fort_riley.geom);"
|
| 691 |
+
Which military installation is the largest in Washington?,"01-state.txt,06-military.txt","with washington as (
|
| 692 |
+
select geoid, geom
|
| 693 |
+
from tl_2023_us_state
|
| 694 |
+
where name ilike '%washington%'
|
| 695 |
+
limit 1
|
| 696 |
+
)
|
| 697 |
+
select fullname
|
| 698 |
+
from public.tl_2023_us_mil
|
| 699 |
+
order by st_area(geom) desc
|
| 700 |
+
limit 1;"
|
| 701 |
+
Which state has the least number of military installations?,"01-state.txt,06-military.txt","select state.name, count(military.fullname) as num_military_installations
|
| 702 |
+
from tl_2023_us_state as state cross join tl_2023_us_mil as military
|
| 703 |
+
where st_contains(state.geom, military.geom)
|
| 704 |
+
group by state.name
|
| 705 |
+
order by num_military_installations asc
|
| 706 |
+
limit 1;"
|
| 707 |
+
List 5 states with most no of military installations?,"01-state.txt,06-military.txt","select state.name, count(military.fullname) as num_military_installations
|
| 708 |
+
from tl_2023_us_state as state cross join tl_2023_us_mil as military
|
| 709 |
+
where st_contains(state.geom, military.geom)
|
| 710 |
+
group by state.name
|
| 711 |
+
order by num_military_installations desc
|
| 712 |
+
limit 5;"
|
| 713 |
+
How many naval stations are there in Florida?,"01-state.txt,06-military.txt","with florida as (
|
| 714 |
+
select geoid, geom
|
| 715 |
+
from tl_2023_us_state
|
| 716 |
+
where name ilike '%florida%'
|
| 717 |
+
limit 1
|
| 718 |
+
)
|
| 719 |
+
select count(*) as num_naval_stations
|
| 720 |
+
from florida, public.tl_2023_us_mil as military
|
| 721 |
+
where fullname ilike '%naval%' and st_contains(florida.geom, military.geom);
|
| 722 |
+
"
|
| 723 |
+
How many naval stations are there in entire US?,06-military.txt,"select count(*) as num_naval_stations
|
| 724 |
+
from public.tl_2023_us_mil as military
|
| 725 |
+
where fullname ilike '%naval%';"
|
| 726 |
+
"Are there any coast guard station near 8336 104th Ct, Vero Beach, FL 32967?",06-military.txt,"with property as (
|
| 727 |
+
SELECT
|
| 728 |
+
ST_X(geomout) as lon,
|
| 729 |
+
ST_Y(geomout) as lat
|
| 730 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 731 |
+
limit 1
|
| 732 |
+
)
|
| 733 |
+
select tl_2023_us_mil.fullname, (tl_2023_us_mil.geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography)/1000 as dist_km
|
| 734 |
+
from property, public.tl_2023_us_mil
|
| 735 |
+
where fullname ilike '%coast guard%'
|
| 736 |
+
order by dist_km asc;"
|
| 737 |
+
How many coast guard station are present in Florida?,"01-state.txt,06-military.txt","with florida as (
|
| 738 |
+
select geoid, geom
|
| 739 |
+
from tl_2023_us_state
|
| 740 |
+
where name ilike '%florida%'
|
| 741 |
+
limit 1
|
| 742 |
+
)
|
| 743 |
+
select count(distinct fullname)
|
| 744 |
+
from florida, public.tl_2023_us_mil
|
| 745 |
+
where st_contains(florida.geom, tl_2023_us_mil.geom) and fullname ilike '%coast guard%';"
|
| 746 |
+
Which state has the most no of railways?,"01-state.txt,06-military.txt","select state.name as state_name, count(railways.gid) as num_railways
|
| 747 |
+
from tl_2023_us_state as state cross join tl_2023_us_rails as railways
|
| 748 |
+
where st_contains(state.geom, railways.geom)
|
| 749 |
+
group by state.name
|
| 750 |
+
order by num_railways desc
|
| 751 |
+
limit 1;"
|
| 752 |
+
Which is the longest railway in US?,07-railways.txt,"select fullname, sum(st_length(geom::geography))/1000 as length_km
|
| 753 |
+
from tl_2023_us_rails as railways
|
| 754 |
+
where fullname is not null
|
| 755 |
+
group by fullname
|
| 756 |
+
order by length_km desc
|
| 757 |
+
limit 1;"
|
| 758 |
+
Which is the longest railway in Florida?,"01-state.txt,07-railways.txt","with florida as (
|
| 759 |
+
select geoid, geom
|
| 760 |
+
from tl_2023_us_state
|
| 761 |
+
where name ilike '%florida%'
|
| 762 |
+
limit 1
|
| 763 |
+
)
|
| 764 |
+
select railways.fullname, sum(st_length(railways.geom::geography))/1000 as length_km
|
| 765 |
+
from tl_2023_us_rails as railways, florida
|
| 766 |
+
where fullname is not null and st_intersects(florida.geom, railways.geom)
|
| 767 |
+
group by fullname
|
| 768 |
+
order by length_km desc
|
| 769 |
+
limit 1;"
|
| 770 |
+
Which is the shortest railway in US?,07-railways.txt,"select fullname, sum(st_length(geom::geography))/1000 as length_km
|
| 771 |
+
from tl_2023_us_rails as railways
|
| 772 |
+
where fullname is not null
|
| 773 |
+
group by fullname
|
| 774 |
+
order by length_km asc
|
| 775 |
+
limit 1;"
|
| 776 |
+
"Are there any railways within 1000km radius of 8336 104th Ct, Vero Beach, FL 32967?",07-railways.txt,"with property as (
|
| 777 |
+
SELECT
|
| 778 |
+
ST_X(geomout) as lon,
|
| 779 |
+
ST_Y(geomout) as lat
|
| 780 |
+
from geocode('8336 104th Ct, Vero Beach, FL 32967')
|
| 781 |
+
limit 1
|
| 782 |
+
),
|
| 783 |
+
near_railways as (
|
| 784 |
+
select railways.fullname, sum(railways.geom <-> st_transform(st_setsrid(st_point(property.lon, property.lat), 4326),4269)::geography)/1000 as dist_km
|
| 785 |
+
from property, tl_2023_us_rails as railways
|
| 786 |
+
group by railways.fullname
|
| 787 |
+
order by dist_km asc
|
| 788 |
+
)
|
| 789 |
+
select fullname
|
| 790 |
+
from near_railways
|
| 791 |
+
where near_railways.dist_km < 1000;"
|
| 792 |
+
What is the average length of a railway in United States?,07-railways.txt,"with total_lengths as (
|
| 793 |
+
select fullname, sum(st_length(geom::geography)/1000) as total_length
|
| 794 |
+
from tl_2023_us_rails as railways
|
| 795 |
+
where fullname is not null
|
| 796 |
+
group by fullname
|
| 797 |
+
)
|
| 798 |
+
select avg(total_lengths.total_length)
|
| 799 |
+
from total_lengths;"
|
| 800 |
+
What is the length of Illinois Central railway?,07-railways.txt,"select sum(st_length(geom::geography))/1000 as length_km
|
| 801 |
+
from tl_2023_us_rails
|
| 802 |
+
where fullname ilike '%illinois central';"
|
| 803 |
+
How many railways are there in Michigan?,"01-state.txt,07-railways.txt","with michigan as (
|
| 804 |
+
select geom
|
| 805 |
+
from tl_2023_us_state
|
| 806 |
+
where name ilike '%michigan%'
|
| 807 |
+
limit 1
|
| 808 |
+
),
|
| 809 |
+
michigan_railways as (
|
| 810 |
+
select railways.fullname
|
| 811 |
+
from michigan, public.tl_2023_us_rails as railways
|
| 812 |
+
where st_contains(michigan.geom, railways.geom) and railways.fullname is not null
|
| 813 |
+
group by railways.fullname
|
| 814 |
+
)
|
| 815 |
+
select count(*) as num_railways
|
| 816 |
+
from michigan_railways;"
|
| 817 |
+
List 5 counties with most no of railways.,"02-county.txt,07-railways.txt","select county.name, count(railways.fullname) as num_railways
|
| 818 |
+
from tl_2023_us_rails as railways cross join tl_2023_us_county as county
|
| 819 |
+
where st_contains(county.geom, railways.geom)
|
| 820 |
+
group by railways.fullname, county.name
|
| 821 |
+
order by num_railways desc
|
| 822 |
+
limit 5;"
|
| 823 |
+
Which counties do At and Sf railway pass through?,"02-county.txt,07-railways.txt","select distinct county.name
|
| 824 |
+
from tl_2023_us_county as county cross join tl_2023_us_rails as railways
|
| 825 |
+
where st_contains(county.geom, railways.geom) and railways.fullname ilike '%at and sf%'"
|
| 826 |
+
Give me list of counties and number of railways in state of Florida.,"01-state.txt,02-county.txt,07-railways.txt","with florida as (
|
| 827 |
+
select geoid, geom
|
| 828 |
+
from tl_2023_us_state
|
| 829 |
+
where name ilike '%florida%'
|
| 830 |
+
limit 1
|
| 831 |
+
),
|
| 832 |
+
florida_railways as (
|
| 833 |
+
select county.name as county_name, railways.fullname as railway
|
| 834 |
+
from tl_2023_us_county as county cross join tl_2023_us_rails as railways, florida
|
| 835 |
+
where st_contains(florida.geom, county.geom) and st_contains(county.geom, railways.geom)
|
| 836 |
+
group by railways.fullname, county.name
|
| 837 |
+
)
|
| 838 |
+
select county_name, count(*)
|
| 839 |
+
from florida_railways
|
| 840 |
+
group by county_name;"
|
| 841 |
+
Which is the shortest railway in California?,"01-state.txt,07-railways.txt","with california as (
|
| 842 |
+
select geom
|
| 843 |
+
from tl_2023_us_state
|
| 844 |
+
where name ilike '%california%'
|
| 845 |
+
limit 1
|
| 846 |
+
)
|
| 847 |
+
select railways.fullname, sum(st_length(railways.geom::geography))/1000 as length_km
|
| 848 |
+
from california, tl_2023_us_rails as railways
|
| 849 |
+
where railways.fullname is not null and st_contains(california.geom, railways.geom)
|
| 850 |
+
group by railways.fullname
|
| 851 |
+
order by length_km asc
|
| 852 |
+
limit 1;"
|
| 853 |
+
Which county has the highest no of railways?,"02-county.txt,07-railways.txt","with county_railways as (
|
| 854 |
+
select county.name as county_name, rails.fullname as railway_name
|
| 855 |
+
from tl_2023_us_county as county cross join tl_2023_us_rails as rails
|
| 856 |
+
where st_contains(county.geom, rails.geom) and rails.fullname is not null
|
| 857 |
+
),
|
| 858 |
+
railway_counts as (
|
| 859 |
+
select county_name, count(railway_name) as railway_count
|
| 860 |
+
from county_railways
|
| 861 |
+
group by county_name
|
| 862 |
+
)
|
| 863 |
+
select county_name
|
| 864 |
+
from railway_counts
|
| 865 |
+
order by railway_count desc
|
| 866 |
+
limit 1;"
|
| 867 |
+
Which metropolitan city has the highest no of railways?,"04-metropolitan.txt,07-railways.txt","with metro_railways as (
|
| 868 |
+
select metro.name as metro_name, rails.fullname as railway_name
|
| 869 |
+
from public.tl_2023_us_cbsa as metro cross join tl_2023_us_rails as rails
|
| 870 |
+
where st_contains(metro.geom, rails.geom) and rails.fullname is not null and metro.lsad = 'M1'
|
| 871 |
+
),
|
| 872 |
+
railway_counts as (
|
| 873 |
+
select metro_name, count(railway_name) as railway_count
|
| 874 |
+
from metro_railways
|
| 875 |
+
group by metro_name
|
| 876 |
+
)
|
| 877 |
+
select metro_name
|
| 878 |
+
from railway_counts
|
| 879 |
+
order by railway_count desc
|
| 880 |
+
limit 1;"
|
| 881 |
+
What is the average no of railways in a metropolitan area in US?,"04-metropolitan.txt,07-railways.txt","with metro_railways as (
|
| 882 |
+
select metro.name as metro_name, rails.fullname as railway_name
|
| 883 |
+
from public.tl_2023_us_cbsa as metro cross join tl_2023_us_rails as rails
|
| 884 |
+
where st_contains(metro.geom, rails.geom) and rails.fullname is not null and metro.lsad = 'M1'
|
| 885 |
+
),
|
| 886 |
+
railway_counts as (
|
| 887 |
+
select metro_name, count(railway_name) as railway_count
|
| 888 |
+
from metro_railways
|
| 889 |
+
group by metro_name
|
| 890 |
+
)
|
| 891 |
+
select avg(railway_count) as average_railway_count
|
| 892 |
+
from railway_counts;"
|
| 893 |
+
What is the average no of railways in a micropolitan area in US?,"04-metropolitan.txt,07-railways.txt","with micro_railways as (
|
| 894 |
+
select micro.name as micro_name, rails.fullname as railway_name
|
| 895 |
+
from public.tl_2023_us_cbsa as micro cross join tl_2023_us_rails as rails
|
| 896 |
+
where st_contains(micro.geom, rails.geom) and rails.fullname is not null and micro.lsad = 'M2'
|
| 897 |
+
),
|
| 898 |
+
railway_counts as (
|
| 899 |
+
select micro_name, count(railway_name) as railway_count
|
| 900 |
+
from micro_railways
|
| 901 |
+
group by micro_name
|
| 902 |
+
)
|
| 903 |
+
select avg(railway_count) as average_railway_count
|
| 904 |
+
from railway_counts;"
|
| 905 |
+
Which states do not have any railways?,"01-state.txt,07-railways.txt","with state_with_railways as (
|
| 906 |
+
select distinct state.name
|
| 907 |
+
from tl_2023_us_state as state cross join tl_2023_us_rails as railways
|
| 908 |
+
where st_contains(state.geom, railways.geom)
|
| 909 |
+
group by state.name
|
| 910 |
+
)
|
| 911 |
+
select distinct state.name as states
|
| 912 |
+
from state_with_railways, public.tl_2023_us_state as state
|
| 913 |
+
where state.name not in (select name from state_with_railways);"
|
| 914 |
+
How many counties in US do not have any railways?,"02-county.txt,07-railways.txt","with county_with_railways as (
|
| 915 |
+
select distinct county.name
|
| 916 |
+
from tl_2023_us_county as county cross join tl_2023_us_rails as railways
|
| 917 |
+
where st_contains(county.geom, railways.geom)
|
| 918 |
+
group by county.name
|
| 919 |
+
)
|
| 920 |
+
select count(distinct county.name) as n_counties
|
| 921 |
+
from county_with_railways, public.tl_2023_us_county as county
|
| 922 |
+
where county.name not in (select name from county_with_railways);
|
| 923 |
+
"
|
| 924 |
+
What is the length of Missouri Pacific railway?,07-railways.txt,"select fullname, sum(st_length(geom::geography))/1000 as length_km
|
| 925 |
+
from tl_2023_us_rails
|
| 926 |
+
where fullname ilike '%missouri pacific%' and fullname is not null
|
| 927 |
+
group by fullname
|
| 928 |
+
limit 1;"
|
| 929 |
+
Provide me a list of 5 longest railways in US.,07-railways.txt,"select fullname, sum(st_length(geom::geography))/1000 as length_km
|
| 930 |
+
from tl_2023_us_rails
|
| 931 |
+
where fullname is not null
|
| 932 |
+
group by fullname
|
| 933 |
+
order by length_km desc
|
| 934 |
+
limit 5;"
|
geosql_dataset/load_tables.sh
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Set some variables
|
| 2 |
+
SHP_FILES_DIRECTORY = "" # absolute path of downloaded .zip files along with dataset.
|
| 3 |
+
UNZIP_DEST_DIRECTORY = "" # destination folder to unzip into .shp files
|
| 4 |
+
HOST_NAME = "" # postgres hostname
|
| 5 |
+
DB_NAME = "" # postgres database
|
| 6 |
+
PG_USER = "" # postgres user
|
| 7 |
+
|
| 8 |
+
# Unzip all the shapefiles
|
| 9 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_state -d $(UNZIP_DEST_DIRECTORY)/state
|
| 10 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_county -d $(UNZIP_DEST_DIRECTORY)/county
|
| 11 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_coastline -d $(UNZIP_DEST_DIRECTORY)/coastline
|
| 12 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_cbsa -d $(UNZIP_DEST_DIRECTORY)/cbsa
|
| 13 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_mil -d $(UNZIP_DEST_DIRECTORY)/mil
|
| 14 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_primaryroads -d $(UNZIP_DEST_DIRECTORY)/roads
|
| 15 |
+
unzip $(SHP_FILES_DIRECTORY)/tl_2023_us_rails -d $(UNZIP_DEST_DIRECTORY)/rails
|
| 16 |
+
|
| 17 |
+
# Load all these shapefiles into your postgres database with postgis extension enabled.
|
| 18 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/state/tl_2023_us_state.shp public.tl_2023_us_state | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 19 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/county/tl_2023_us_county.shp public.tl_2023_us_county | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 20 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/coastline/tl_2023_us_coastline.shp public.tl_2023_us_coastline | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 21 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/cbsa/tl_2023_us_cbsa.shp public.tl_2023_us_cbsa | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 22 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/mil/tl_2023_us_mil.shp public.tl_2023_us_mil | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 23 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/roads/tl_2023_us_primaryroads.shp public.tl_2023_us_primaryroads | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 24 |
+
shp2pgsql -D -I -s 4269 $(UNZIP_DEST_DIRECTORY)/rails/tl_2023_us_rails.shp public.tl_2023_us_rails | psql -d $DB_NAME -h $HOST_NAME -U $PG_USER
|
| 25 |
+
|
geosql_dataset/readme.txt
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
This is a dataset made for the purpose of evaluating Text-to-SQL systems for geography-based applications.
|
| 2 |
+
Currently, we have only released 109 examples of natural_language, sql_query pairs.
|
| 3 |
+
|
| 4 |
+
Steps:
|
| 5 |
+
1. First, unzip all the .shp files and load them into your postgres database instance.
|
| 6 |
+
2. Load the text,sql pair from the .csv file into your desired program.
|
| 7 |
+
3. Generate SQL for the questions using your own LLM and compare the results any way you like.
|
| 8 |
+
|
| 9 |
+
###REQUIREMENTS.
|
| 10 |
+
1. You need postgres SQL installed with postgis extension enabled.
|
| 11 |
+
2. You need to have tiger geocoder enabled only for Florida state.
|
| 12 |
+
i.e., the geocoding done in this dataset is only on addresses from the Florida state.
|
| 13 |
+
For more information on installing tiger geocoder, see the book Postgis in Action by R. Obe, L. Hsu
|
| 14 |
+
Chapter 10: PostGIS TIGER geocoder
|
| 15 |
+
|
| 16 |
+
Copyright
|
| 17 |
+
reAlpha Tech Corp, 2024
|
| 18 |
+
|
| 19 |
+
Made by:
|
| 20 |
+
ML Team, Naamche
|
geosql_dataset/tiger_files/tl_2023_us_cbsa.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f973d808101e07e618ea402cf61b34dc5d731ca6b2f4ede764a9fdeb0581ac1
|
| 3 |
+
size 34716117
|
geosql_dataset/tiger_files/tl_2023_us_coastline.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ed0c22593b4b5a19f17256916824cb4d665a45a1c0811c28c25caf12811f9ba9
|
| 3 |
+
size 16420208
|
geosql_dataset/tiger_files/tl_2023_us_county.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:692e12c30c83adcaabdbac0d3954fafa55e1c89a24b36d95e72e02dff938652e
|
| 3 |
+
size 83451409
|
geosql_dataset/tiger_files/tl_2023_us_mil.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:23fdfe692015ce1014c36e38ead6cd10e55fa52495000644f8bd822ae2d7c96f
|
| 3 |
+
size 2979085
|
geosql_dataset/tiger_files/tl_2023_us_primaryroads.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:97aad145a0c7b6285fb07e5119d3949f31d94e76803801a4c46eb8966e381a20
|
| 3 |
+
size 38247392
|
geosql_dataset/tiger_files/tl_2023_us_rails.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:43cc393be3dc4afb07b021ed7a029e578e173bf43af313681855732d5224ab28
|
| 3 |
+
size 33405492
|
geosql_dataset/tiger_files/tl_2023_us_state.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
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