db_id stringclasses 146
values | question stringlengths 3 224 | sql stringlengths 18 577 | database_schema stringclasses 146
values |
|---|---|---|---|
restaurants | where can we find a restaurant on bethel island rd in bethel island ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "bethel island" AND t2.street_name = "bethel island rd"; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can we find some restaurants on bethel island rd in bethel island ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "bethel island" AND t2.street_name = "bethel island rd"; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is the best restaurant in the bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is the best restaurant in bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what is the best restaurant in bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what is the best american restaurant in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is the best american restaurant in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what is the best american in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me the best restaurant in the bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me the best restaurant in bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what is the best restaurant in the bay area for american food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is the best american in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me the best american in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me the best american restaurant in the bay area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "bay area" AND t1.food_type = "american" AND t1.rating = ( SELECT MAX ( t1.rating ) FROM restaurant AS t1 JOIN geographic AS t2 ON t1.... | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some restaurants good for french food in the yosemite and mono lake area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good places in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good restaurant in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good french restaurant in the yosemite and mono lake area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good place in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where are some restaurants good for french food in the yosemite and mono lake area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good place in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good restaurant in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good restaurants in the yosemite and mono lake area for french food ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good french restaurant in the yosemite and mono lake area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can i eat some good french food in the yosemite and mono lake area ? | SELECT t3.house_number , t1.name FROM restaurant AS t1 JOIN geographic AS t2 ON t1.city_name = t2.city_name JOIN LOCATION AS t3 ON t1.id = t3.restaurant_id WHERE t2.region = "yosemite and mono lake area" AND t1.food_type = "french" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where are some restaurants good for arabic food in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good places in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where are some good arabic restaurants in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | show me a good arabic restaurant in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good arabic in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good arabic restaurant in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good place in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where are some good arabics in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a restaurant in mountain view that serves good arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good restaurants in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some restaurants good for arabic food in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can i eat some good arabic food in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some good places for arabic in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good arabic in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a restaurant in mountain view that serves good arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some good arabic restaurants in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where are some good places for arabic in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some good arabics in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good restaurant in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good arabic restaurant in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good places for arabic in mountain view ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good restaurant in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a good place in mountain view for arabic food ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "mountain view" AND t1.food_type = "arabic" AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can i find a jamerican cuisine in san francisco ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "san francisco" AND t1.name = "jamerican cuisine"; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is jamerican cuisine in san francisco ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "san francisco" AND t1.name = "jamerican cuisine"; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where is a jamerican cuisine in san francisco ? | SELECT t2.house_number , t1.name FROM restaurant AS t1 JOIN LOCATION AS t2 ON t1.id = t2.restaurant_id WHERE t2.city_name = "san francisco" AND t1.name = "jamerican cuisine"; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can we find some restaurants in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "bay area" ); | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some restaurants in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "bay area" ); | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a restaurant in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "bay area" ); | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | where can i find a restaurant in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "bay area" ); | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me a good restaurant in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "region0" ) AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what are some good restaurants in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "region0" ) AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | give me some good restaurants in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "region0" ) AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
restaurants | what is a good restaurant in the bay area ? | SELECT t2.house_number , t1.name FROM LOCATION AS t2 JOIN restaurant AS t1 ON t1.id = t2.restaurant_id WHERE t1.city_name IN ( SELECT city_name FROM geographic WHERE region = "region0" ) AND t1.rating > 2.5; | CREATE TABLE "GEOGRAPHIC" (
"CITY_NAME" text,
"COUNTY" text,
"REGION" text,
primary key("CITY_NAME")
)
3 rows from GEOGRAPHIC table:
Empty DataFrame
Columns: [CITY_NAME, COUNTY, REGION]
Index: []
CREATE TABLE "RESTAURANT" (
"ID" int,
"NAME" text,
"FOOD_TYPE" text,
"CITY_NAME" text,
"RATING" real,
primary key("ID"),... |
geo | what is the biggest city in wyoming | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what wyoming city has the largest population | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the largest city in wyoming | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | where is the most populated area of wyoming | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | which city in wyoming has the largest population | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what cities in wyoming have the highest number of citizens | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what cities in wyoming have the highest populations | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the most populous city in wyoming | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the largest city in wyoming by population | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the largest city of wyoming | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the city in wyoming with the largest population | SELECT city_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city WHERE state_name = "wyoming" ) AND state_name = "wyoming"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | which rivers run through the state with the largest city in the us | SELECT river_name FROM river WHERE traverse IN ( SELECT state_name FROM city WHERE population = ( SELECT MAX ( population ) FROM city ) ); | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how big is new mexico | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the area of new mexico | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how large is new mexico | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the area of the new mexico state | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the size of new mexico | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the area of new mexico in square kilometers | SELECT area FROM state WHERE state_name = "new mexico"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many people live in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many people reside in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many residents live in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how much population does california have | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what are the population of california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the population of california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many people are in the state of california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what can you tell me about the population of california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many people are there in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many citizens in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many people stay in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | how many citizens live in california | SELECT population FROM state WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what state has the smallest population | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the least populous state | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the state with the lowest population | SELECT state_name FROM state WHERE population = ( SELECT MIN ( population ) FROM state ); | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | give me the cities in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | tell me what cities are in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what cities are located in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what are the cities in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what cities in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | give me the cities which are in texas | SELECT city_name FROM city WHERE state_name = "texas"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | what is the area of the state with the capital albany | SELECT area FROM state WHERE capital = "albany"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
geo | give me the lakes in california | SELECT lake_name FROM lake WHERE state_name = "california"; | CREATE TABLE `state` (
`state_name` text
, `population` integer DEFAULT NULL
, `area` double DEFAULT NULL
, `country_name` varchar(3) NOT NULL DEFAULT ''
, `capital` text
, `density` double DEFAULT NULL
, PRIMARY KEY (`state_name`)
)
3 rows from state table:
Empty DataFrame
Columns: [state_name, population, ar... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.