ooshaaan commited on
Commit
12b24c4
1 Parent(s): e5e6db2

Upload the entire dataset.

Browse files
geosql_dataset/ddl/01-state.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_state (
2
+ gid serial4 NOT NULL,
3
+ region varchar(2) NULL,
4
+ division varchar(2) NULL,
5
+ statefp varchar(2) NULL,
6
+ statens varchar(8) NULL,
7
+ geoid varchar(2) NULL,
8
+ geoidfq varchar(11) NULL,
9
+ stusps varchar(2) NULL,
10
+ "name" varchar(100) NULL,
11
+ lsad varchar(2) NULL,
12
+ mtfcc varchar(5) NULL,
13
+ funcstat varchar(1) NULL,
14
+ aland float8 NULL,
15
+ awater float8 NULL,
16
+ intptlat varchar(11) NULL,
17
+ intptlon varchar(12) NULL,
18
+ geom public.geometry(multipolygon, 4269) NULL,
19
+ CONSTRAINT tl_2023_us_state_pkey PRIMARY KEY (gid)
20
+ );
21
+
geosql_dataset/ddl/02-county.txt ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_county (
2
+ gid serial4 NOT NULL,
3
+ statefp varchar(2) NULL,
4
+ countyfp varchar(3) NULL,
5
+ countyns varchar(8) NULL,
6
+ geoid varchar(5) NULL,
7
+ geoidfq varchar(14) NULL,
8
+ "name" varchar(100) NULL,
9
+ namelsad varchar(100) NULL,
10
+ lsad varchar(2) NULL,
11
+ classfp varchar(2) NULL,
12
+ mtfcc varchar(5) NULL,
13
+ csafp varchar(3) NULL,
14
+ cbsafp varchar(5) NULL,
15
+ metdivfp varchar(5) NULL,
16
+ funcstat varchar(1) NULL,
17
+ aland float8 NULL,
18
+ awater float8 NULL,
19
+ intptlat varchar(11) NULL,
20
+ intptlon varchar(12) NULL,
21
+ geom public.geometry(multipolygon, 4269) NULL,
22
+ CONSTRAINT tl_2023_us_county_pkey PRIMARY KEY (gid)
23
+ );
geosql_dataset/ddl/03-coastline.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_coastline (
2
+ gid serial4 NOT NULL,
3
+ "name" varchar(100) NULL,
4
+ mtfcc varchar(5) NULL,
5
+ geom public.geometry(multilinestring, 4269) NULL,
6
+ CONSTRAINT tl_2023_us_coastline_pkey PRIMARY KEY (gid)
7
+ );
8
+ --A single coastline is divided into different fragments which same name for fragments of the coastline.
geosql_dataset/ddl/04-metropolitan.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_cbsa (
2
+ gid serial4 NOT NULL,
3
+ csafp varchar(3) NULL,
4
+ cbsafp varchar(5) NULL,
5
+ geoid varchar(5) NULL,
6
+ geoidfq varchar(14) NULL,
7
+ "name" varchar(100) NULL,
8
+ namelsad varchar(100) NULL,
9
+ lsad varchar(2) NULL,
10
+ memi varchar(1) NULL,
11
+ mtfcc varchar(5) NULL,
12
+ aland float8 NULL,
13
+ awater float8 NULL,
14
+ intptlat varchar(11) NULL,
15
+ intptlon varchar(12) NULL,
16
+ geom public.geometry(multipolygon, 4269) NULL,
17
+ CONSTRAINT tl_2023_us_cbsa_pkey PRIMARY KEY (gid)
18
+ );
19
+ --This table contains data on both metropolitan and micropolitan areas.
20
+ --To filter metropolitan areas only you need to look at the entries where lsad='M1'
21
+ --To filter micropolitan areas only you need to look at the entries where lsad='M2'
geosql_dataset/ddl/05-roads.txt ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_primaryroads (
2
+ gid serial4 NOT NULL,
3
+ linearid varchar(22) NULL,
4
+ fullname varchar(100) NULL,
5
+ rttyp varchar(1) NULL,
6
+ mtfcc varchar(5) NULL,
7
+ geom public.geometry(multilinestring, 4269) NULL,
8
+ CONSTRAINT tl_2023_us_primaryroads_pkey PRIMARY KEY (gid)
9
+ );
10
+ --A single road is divided among multiple rows with same 'fullname' attribute.
geosql_dataset/ddl/06-military.txt ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_mil (
2
+ gid serial4 NOT NULL,
3
+ areaid varchar(22) NULL,
4
+ fullname varchar(100) NULL,
5
+ mtfcc varchar(5) NULL,
6
+ aland float8 NULL,
7
+ awater float8 NULL,
8
+ intptlat varchar(11) NULL,
9
+ intptlon varchar(12) NULL,
10
+ geom public.geometry(multipolygon, 4269) NULL,
11
+ CONSTRAINT tl_2023_us_mil_pkey PRIMARY KEY (gid)
12
+ );
geosql_dataset/ddl/07-railways.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ CREATE TABLE public.tl_2023_us_rails (
2
+ gid serial4 NOT NULL,
3
+ linearid varchar(22) NULL,
4
+ fullname varchar(100) NULL,
5
+ mtfcc varchar(5) NULL,
6
+ geom public.geometry(multilinestring, 4269) NULL,
7
+ CONSTRAINT tl_2023_us_rails_pkey PRIMARY KEY (gid)
8
+ );
9
+ --A single railways is divided into multiple rows with fullname common among them.
geosql_dataset/geosql-dataset .csv ADDED
@@ -0,0 +1,934 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
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+ 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
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+ 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
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+ 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
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+ 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
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+ oid sha256:8ded0ef036e205e246ae4b03a66873f7e1eed50285b993702ce5aca674283a2e
3
+ size 9947818