db_id stringclasses 146 values | question stringlengths 3 224 | sql stringlengths 18 577 | database_schema stringclasses 146 values |
|---|---|---|---|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
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"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
)
3 rows from RESTAURANT table:
Empty DataFrame
Columns: [ID, NAME, FOOD_TYPE, CITY_NAME, RATING]
Index: []
CREATE TABLE "LOCATION" (
"RESTAURANT_ID" int,
"HOUSE_NUMBER" int,
"STREET_NAME" text,
"CITY_NAME" text,
primary key("RESTAURANT_ID"),
foreign key ("CITY_NAME") references `GEOGRAPHIC`("CITY_NAME")
foreign key ("RESTAURANT_ID") references `RESTAURANT`("RESTAURANT_ID")
)
3 rows from LOCATION table:
Empty DataFrame
Columns: [RESTAURANT_ID, HOUSE_NUMBER, STREET_NAME, CITY_NAME]
Index: []
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.