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Name the home team for carlton away team | CREATE TABLE table_name_77 (
home_team VARCHAR,
away_team VARCHAR
) | SELECT home_team FROM table_name_77 WHERE away_team = "carlton" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the home team for carlton away team ### Input: CREATE TABLE table_name_77 (
home_team VARCHAR,
away_team VARCHAR
) ### Response: SELECT home_team FROM table_name_77 WHERE away_team = "carlton" |
what will the population of Asia be when Latin America/Caribbean is 783 (7.5%)? | CREATE TABLE table_22767 (
"Year" real,
"World" real,
"Asia" text,
"Africa" text,
"Europe" text,
"Latin America/Caribbean" text,
"Northern America" text,
"Oceania" text
) | SELECT "Asia" FROM table_22767 WHERE "Latin America/Caribbean" = '783 (7.5%)' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: what will the population of Asia be when Latin America/Caribbean is 783 (7.5%)? ### Input: CREATE TABLE table_22767 (
"Year" real,
"World" real,
"Asia" text,
"Africa" text,
"Europe" text,
"Latin America/Caribbean" text,
"Northern America" text,
"Oceania" text
) ### Response: SELECT "Asia" FROM table_22767 WHERE "Latin America/Caribbean" = '783 (7.5%)' |
How many faculty members do we have for each gender? Draw a bar chart, order by the Y-axis in descending. | CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
) | SELECT Sex, COUNT(*) FROM Faculty GROUP BY Sex ORDER BY COUNT(*) DESC | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How many faculty members do we have for each gender? Draw a bar chart, order by the Y-axis in descending. ### Input: CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
)
CREATE TABLE Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
) ### Response: SELECT Sex, COUNT(*) FROM Faculty GROUP BY Sex ORDER BY COUNT(*) DESC |
List the record of 0-1 from the table? | CREATE TABLE table_14656147_2 (
week VARCHAR,
record VARCHAR
) | SELECT week FROM table_14656147_2 WHERE record = "0-1" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: List the record of 0-1 from the table? ### Input: CREATE TABLE table_14656147_2 (
week VARCHAR,
record VARCHAR
) ### Response: SELECT week FROM table_14656147_2 WHERE record = "0-1" |
Which silver has a Gold smaller than 12, a Rank smaller than 5, and a Bronze of 5? | CREATE TABLE table_name_24 (
silver VARCHAR,
bronze VARCHAR,
gold VARCHAR,
rank VARCHAR
) | SELECT silver FROM table_name_24 WHERE gold < 12 AND rank < 5 AND bronze = 5 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which silver has a Gold smaller than 12, a Rank smaller than 5, and a Bronze of 5? ### Input: CREATE TABLE table_name_24 (
silver VARCHAR,
bronze VARCHAR,
gold VARCHAR,
rank VARCHAR
) ### Response: SELECT silver FROM table_name_24 WHERE gold < 12 AND rank < 5 AND bronze = 5 |
When did Samsung Electronics Co LTD make the GT-i9100? | CREATE TABLE table_47482 (
"Company name" text,
"Hardware Model" text,
"Accreditation type" text,
"Accreditation level" text,
"Date" text
) | SELECT "Date" FROM table_47482 WHERE "Company name" = 'samsung electronics co ltd' AND "Hardware Model" = 'gt-i9100' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: When did Samsung Electronics Co LTD make the GT-i9100? ### Input: CREATE TABLE table_47482 (
"Company name" text,
"Hardware Model" text,
"Accreditation type" text,
"Accreditation level" text,
"Date" text
) ### Response: SELECT "Date" FROM table_47482 WHERE "Company name" = 'samsung electronics co ltd' AND "Hardware Model" = 'gt-i9100' |
what are the early morning flights from BOSTON to DENVER | CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
) | SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 0 AND 800 | atis | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: what are the early morning flights from BOSTON to DENVER ### Input: CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE airline (
airline_code varchar,
airline_name text,
note text
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE restriction (
restriction_code text,
advance_purchase int,
stopovers text,
saturday_stay_required text,
minimum_stay int,
maximum_stay int,
application text,
no_discounts text
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE flight (
aircraft_code_sequence text,
airline_code varchar,
airline_flight text,
arrival_time int,
connections int,
departure_time int,
dual_carrier text,
flight_days text,
flight_id int,
flight_number int,
from_airport varchar,
meal_code text,
stops int,
time_elapsed int,
to_airport varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE airport (
airport_code varchar,
airport_name text,
airport_location text,
state_code varchar,
country_name varchar,
time_zone_code varchar,
minimum_connect_time int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE flight_stop (
flight_id int,
stop_number int,
stop_days text,
stop_airport text,
arrival_time int,
arrival_airline text,
arrival_flight_number int,
departure_time int,
departure_airline text,
departure_flight_number int,
stop_time int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE fare_basis (
fare_basis_code text,
booking_class text,
class_type text,
premium text,
economy text,
discounted text,
night text,
season text,
basis_days text
)
CREATE TABLE fare (
fare_id int,
from_airport varchar,
to_airport varchar,
fare_basis_code text,
fare_airline text,
restriction_code text,
one_direction_cost int,
round_trip_cost int,
round_trip_required varchar
)
CREATE TABLE aircraft (
aircraft_code varchar,
aircraft_description varchar,
manufacturer varchar,
basic_type varchar,
engines int,
propulsion varchar,
wide_body varchar,
wing_span int,
length int,
weight int,
capacity int,
pay_load int,
cruising_speed int,
range_miles int,
pressurized varchar
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
) ### Response: SELECT DISTINCT flight.flight_id FROM airport_service AS AIRPORT_SERVICE_0, airport_service AS AIRPORT_SERVICE_1, city AS CITY_0, city AS CITY_1, flight WHERE (CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'BOSTON' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'DENVER' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.departure_time BETWEEN 0 AND 800 |
Name the most 3 credits | CREATE TABLE table_148535_2 (
Id VARCHAR
) | SELECT MIN(3 AS _credits) FROM table_148535_2 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the most 3 credits ### Input: CREATE TABLE table_148535_2 (
Id VARCHAR
) ### Response: SELECT MIN(3 AS _credits) FROM table_148535_2 |
What is every yellow jersey entry for the distance 125? | CREATE TABLE table_3791 (
"Year" text,
"Stage" real,
"Start of stage" text,
"Distance (km)" text,
"Category of climb" text,
"Stage winner" text,
"Nationality" text,
"Yellow jersey" text,
"Bend" real
) | SELECT "Yellow jersey" FROM table_3791 WHERE "Distance (km)" = '125' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is every yellow jersey entry for the distance 125? ### Input: CREATE TABLE table_3791 (
"Year" text,
"Stage" real,
"Start of stage" text,
"Distance (km)" text,
"Category of climb" text,
"Stage winner" text,
"Nationality" text,
"Yellow jersey" text,
"Bend" real
) ### Response: SELECT "Yellow jersey" FROM table_3791 WHERE "Distance (km)" = '125' |
In what years was there a rank lower than 9, under 84 goals, and more than 158 matches? | CREATE TABLE table_name_63 (
years VARCHAR,
goals VARCHAR,
matches VARCHAR,
rank VARCHAR
) | SELECT years FROM table_name_63 WHERE matches > 158 AND rank > 9 AND goals < 84 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: In what years was there a rank lower than 9, under 84 goals, and more than 158 matches? ### Input: CREATE TABLE table_name_63 (
years VARCHAR,
goals VARCHAR,
matches VARCHAR,
rank VARCHAR
) ### Response: SELECT years FROM table_name_63 WHERE matches > 158 AND rank > 9 AND goals < 84 |
What aired at 10:00 when Flashpoint aired at 9:30? | CREATE TABLE table_43208 (
"8:00" text,
"8:30" text,
"9:00" text,
"9:30" text,
"10:00" text
) | SELECT "10:00" FROM table_43208 WHERE "9:30" = 'flashpoint' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What aired at 10:00 when Flashpoint aired at 9:30? ### Input: CREATE TABLE table_43208 (
"8:00" text,
"8:30" text,
"9:00" text,
"9:30" text,
"10:00" text
) ### Response: SELECT "10:00" FROM table_43208 WHERE "9:30" = 'flashpoint' |
count the number of patients whose insurance is government and procedure short title is rt/left heart card cath? | CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Rt/left heart card cath" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: count the number of patients whose insurance is government and procedure short title is rt/left heart card cath? ### Input: CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.insurance = "Government" AND procedures.short_title = "Rt/left heart card cath" |
What was the record of the game in which Dydek (10) did the most high rebounds? | CREATE TABLE table_18904831_5 (
record VARCHAR,
high_rebounds VARCHAR
) | SELECT record FROM table_18904831_5 WHERE high_rebounds = "Dydek (10)" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the record of the game in which Dydek (10) did the most high rebounds? ### Input: CREATE TABLE table_18904831_5 (
record VARCHAR,
high_rebounds VARCHAR
) ### Response: SELECT record FROM table_18904831_5 WHERE high_rebounds = "Dydek (10)" |
When was the game played at glenferrie oval? | CREATE TABLE table_10130 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Date" FROM table_10130 WHERE "Venue" = 'glenferrie oval' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: When was the game played at glenferrie oval? ### Input: CREATE TABLE table_10130 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) ### Response: SELECT "Date" FROM table_10130 WHERE "Venue" = 'glenferrie oval' |
What is the highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62? | CREATE TABLE table_7207 (
"Objects" text,
"Date" text,
"SiO 2" real,
"Al 2 O 3" real,
"Fe 2 O 3" real,
"K 2 O" real,
"Na 2 O" real
) | SELECT MAX("K 2 O") FROM table_7207 WHERE "Na 2 O" > '1.87' AND "Fe 2 O 3" > '0.07' AND "Objects" = 'ritual disk' AND "Al 2 O 3" < '0.62' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the highest K 2 O, when Na 2 O is greater than 1.87, when Fe 2 O 3 is greater than 0.07, when Objects is Ritual Disk, and when Al 2 O 3 is less than 0.62? ### Input: CREATE TABLE table_7207 (
"Objects" text,
"Date" text,
"SiO 2" real,
"Al 2 O 3" real,
"Fe 2 O 3" real,
"K 2 O" real,
"Na 2 O" real
) ### Response: SELECT MAX("K 2 O") FROM table_7207 WHERE "Na 2 O" > '1.87' AND "Fe 2 O 3" > '0.07' AND "Objects" = 'ritual disk' AND "Al 2 O 3" < '0.62' |
what is the total number of patients diagnosed with icd9 code 45620 who had a blood test. | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: what is the total number of patients diagnosed with icd9 code 45620 who had a blood test. ### Input: CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.icd9_code = "45620" AND lab.fluid = "Blood" |
count the number of patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and year of death is less than or equal to 2168? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.dod_year <= "2168.0" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: count the number of patients whose primary disease is pneumonia;human immunodefiency virus;rule out tuberculosis and year of death is less than or equal to 2168? ### Input: CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "PNEUMONIA;HUMAN IMMUNODEFIENCY VIRUS;RULE OUT TUBERCULOSIS" AND demographic.dod_year <= "2168.0" |
Which section is in the 6th position? | CREATE TABLE table_72013 (
"Season" text,
"Level" text,
"Division" text,
"Section" text,
"Position" text
) | SELECT "Section" FROM table_72013 WHERE "Position" = '6th' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which section is in the 6th position? ### Input: CREATE TABLE table_72013 (
"Season" text,
"Level" text,
"Division" text,
"Section" text,
"Position" text
) ### Response: SELECT "Section" FROM table_72013 WHERE "Position" = '6th' |
What is the area of the coed school with a state authority and a roll number of 122? | CREATE TABLE table_69300 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
) | SELECT "Area" FROM table_69300 WHERE "Authority" = 'state' AND "Gender" = 'coed' AND "Roll" = '122' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the area of the coed school with a state authority and a roll number of 122? ### Input: CREATE TABLE table_69300 (
"Name" text,
"Years" text,
"Gender" text,
"Area" text,
"Authority" text,
"Decile" real,
"Roll" real
) ### Response: SELECT "Area" FROM table_69300 WHERE "Authority" = 'state' AND "Gender" = 'coed' AND "Roll" = '122' |
Which type of institution is in Amherst, MA? | CREATE TABLE table_name_1 (
type VARCHAR,
location VARCHAR
) | SELECT type FROM table_name_1 WHERE location = "amherst, ma" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which type of institution is in Amherst, MA? ### Input: CREATE TABLE table_name_1 (
type VARCHAR,
location VARCHAR
) ### Response: SELECT type FROM table_name_1 WHERE location = "amherst, ma" |
What years did Birger Ruud win the FIS Nordic World Ski Championships? | CREATE TABLE table_21696 (
"Winner" text,
"Country" text,
"Winter Olympics" text,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
) | SELECT "FIS Nordic World Ski Championships" FROM table_21696 WHERE "Winner" = 'Birger Ruud' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What years did Birger Ruud win the FIS Nordic World Ski Championships? ### Input: CREATE TABLE table_21696 (
"Winner" text,
"Country" text,
"Winter Olympics" text,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
) ### Response: SELECT "FIS Nordic World Ski Championships" FROM table_21696 WHERE "Winner" = 'Birger Ruud' |
how many members of estonia 's men 's national volleyball team were born in 1988 ? | CREATE TABLE table_203_116 (
id number,
"no." number,
"player" text,
"birth date" text,
"weight" number,
"height" number,
"position" text,
"current club" text
) | SELECT COUNT("player") FROM table_203_116 WHERE "birth date" = 1988 | squall | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: how many members of estonia 's men 's national volleyball team were born in 1988 ? ### Input: CREATE TABLE table_203_116 (
id number,
"no." number,
"player" text,
"birth date" text,
"weight" number,
"height" number,
"position" text,
"current club" text
) ### Response: SELECT COUNT("player") FROM table_203_116 WHERE "birth date" = 1988 |
What episoe number in the season originally aired on February 11, 1988? | CREATE TABLE table_2818164_5 (
no_in_season VARCHAR,
original_air_date VARCHAR
) | SELECT no_in_season FROM table_2818164_5 WHERE original_air_date = "February 11, 1988" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What episoe number in the season originally aired on February 11, 1988? ### Input: CREATE TABLE table_2818164_5 (
no_in_season VARCHAR,
original_air_date VARCHAR
) ### Response: SELECT no_in_season FROM table_2818164_5 WHERE original_air_date = "February 11, 1988" |
What date was the match against adri n men ndez-maceiras? | CREATE TABLE table_60686 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
) | SELECT "Date" FROM table_60686 WHERE "Opponent" = 'adrián menéndez-maceiras' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What date was the match against adri n men ndez-maceiras? ### Input: CREATE TABLE table_60686 (
"Date" text,
"Tournament" text,
"Surface" text,
"Opponent" text,
"Score" text
) ### Response: SELECT "Date" FROM table_60686 WHERE "Opponent" = 'adrián menéndez-maceiras' |
did shoko goto make more films in 2004 or 2005 ? | CREATE TABLE table_203_365 (
id number,
"released" text,
"video title" text,
"company" text,
"director" text,
"notes" text
) | SELECT "released" FROM table_203_365 WHERE "released" IN (2004, 2005) GROUP BY "released" ORDER BY COUNT("video title") DESC LIMIT 1 | squall | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: did shoko goto make more films in 2004 or 2005 ? ### Input: CREATE TABLE table_203_365 (
id number,
"released" text,
"video title" text,
"company" text,
"director" text,
"notes" text
) ### Response: SELECT "released" FROM table_203_365 WHERE "released" IN (2004, 2005) GROUP BY "released" ORDER BY COUNT("video title") DESC LIMIT 1 |
What venue listed is dated February 22, 2003? | CREATE TABLE table_65116 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
) | SELECT "Venue" FROM table_65116 WHERE "Date" = 'february 22, 2003' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What venue listed is dated February 22, 2003? ### Input: CREATE TABLE table_65116 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
) ### Response: SELECT "Venue" FROM table_65116 WHERE "Date" = 'february 22, 2003' |
provide the number of patients whose admission type is emergency and lab test name is rbc, csf? | CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.label = "RBC, CSF" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: provide the number of patients whose admission type is emergency and lab test name is rbc, csf? ### Input: CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND lab.label = "RBC, CSF" |
How often does the course POLSCI 659 meet ? | CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
) | SELECT DISTINCT course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'POLSCI' AND course.number = 659 AND semester.semester = 'WN' AND semester.year = 2016 | advising | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How often does the course POLSCI 659 meet ? ### Input: CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
) ### Response: SELECT DISTINCT course_offering.friday, course_offering.monday, course_offering.saturday, course_offering.sunday, course_offering.thursday, course_offering.tuesday, course_offering.wednesday FROM course INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'POLSCI' AND course.number = 659 AND semester.semester = 'WN' AND semester.year = 2016 |
Which couple participated in the Contemporary style of dance? | CREATE TABLE table_40395 (
"Couple" text,
"Style" text,
"Music" text,
"Choreographer(s)" text,
"Results" text
) | SELECT "Couple" FROM table_40395 WHERE "Style" = 'contemporary' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which couple participated in the Contemporary style of dance? ### Input: CREATE TABLE table_40395 (
"Couple" text,
"Style" text,
"Music" text,
"Choreographer(s)" text,
"Results" text
) ### Response: SELECT "Couple" FROM table_40395 WHERE "Style" = 'contemporary' |
Name the metrical equivalence for linha | CREATE TABLE table_28772 (
"Portuguese name" text,
"English name" text,
"Subdivides in" text,
"Equivalence in Varas" text,
"Metrical equivalence" text
) | SELECT "Metrical equivalence" FROM table_28772 WHERE "Portuguese name" = 'Linha' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the metrical equivalence for linha ### Input: CREATE TABLE table_28772 (
"Portuguese name" text,
"English name" text,
"Subdivides in" text,
"Equivalence in Varas" text,
"Metrical equivalence" text
) ### Response: SELECT "Metrical equivalence" FROM table_28772 WHERE "Portuguese name" = 'Linha' |
If the college is SMU, what is the position? | CREATE TABLE table_27132791_3 (
position VARCHAR,
college VARCHAR
) | SELECT position FROM table_27132791_3 WHERE college = "SMU" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: If the college is SMU, what is the position? ### Input: CREATE TABLE table_27132791_3 (
position VARCHAR,
college VARCHAR
) ### Response: SELECT position FROM table_27132791_3 WHERE college = "SMU" |
What was the represented team on June 27? | CREATE TABLE table_21876 (
"Season" real,
"Date" text,
"Winning Driver" text,
"Car #" real,
"Sponsor" text,
"Make" text,
"Team" text,
"Avg Speed" text,
"Margin of Victory" text
) | SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the represented team on June 27? ### Input: CREATE TABLE table_21876 (
"Season" real,
"Date" text,
"Winning Driver" text,
"Car #" real,
"Sponsor" text,
"Make" text,
"Team" text,
"Avg Speed" text,
"Margin of Victory" text
) ### Response: SELECT "Team" FROM table_21876 WHERE "Date" = 'June 27' |
Please show the songs that have result 'nominated' at music festivals. | CREATE TABLE artist (
artist_id number,
artist text,
age number,
famous_title text,
famous_release_date text
)
CREATE TABLE music_festival (
id number,
music_festival text,
date_of_ceremony text,
category text,
volume number,
result text
)
CREATE TABLE volume (
volume_id number,
volume_issue text,
issue_date text,
weeks_on_top number,
song text,
artist_id number
) | SELECT T2.song FROM music_festival AS T1 JOIN volume AS T2 ON T1.volume = T2.volume_id WHERE T1.result = "Nominated" | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Please show the songs that have result 'nominated' at music festivals. ### Input: CREATE TABLE artist (
artist_id number,
artist text,
age number,
famous_title text,
famous_release_date text
)
CREATE TABLE music_festival (
id number,
music_festival text,
date_of_ceremony text,
category text,
volume number,
result text
)
CREATE TABLE volume (
volume_id number,
volume_issue text,
issue_date text,
weeks_on_top number,
song text,
artist_id number
) ### Response: SELECT T2.song FROM music_festival AS T1 JOIN volume AS T2 ON T1.volume = T2.volume_id WHERE T1.result = "Nominated" |
Which teams had more than 3 eliminations? | CREATE TABLE elimination (
elimination_id text,
wrestler_id text,
team text,
eliminated_by text,
elimination_move text,
time text
)
CREATE TABLE wrestler (
wrestler_id number,
name text,
reign text,
days_held text,
location text,
event text
) | SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3 | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which teams had more than 3 eliminations? ### Input: CREATE TABLE elimination (
elimination_id text,
wrestler_id text,
team text,
eliminated_by text,
elimination_move text,
time text
)
CREATE TABLE wrestler (
wrestler_id number,
name text,
reign text,
days_held text,
location text,
event text
) ### Response: SELECT team FROM elimination GROUP BY team HAVING COUNT(*) > 3 |
how many athletes had a better result than tatyana bocharova ? | CREATE TABLE table_204_910 (
id number,
"rank" number,
"name" text,
"nationality" text,
"result" number,
"notes" text
) | SELECT COUNT("name") FROM table_204_910 WHERE "result" > (SELECT "result" FROM table_204_910 WHERE "name" = 'tatyana bocharova') | squall | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: how many athletes had a better result than tatyana bocharova ? ### Input: CREATE TABLE table_204_910 (
id number,
"rank" number,
"name" text,
"nationality" text,
"result" number,
"notes" text
) ### Response: SELECT COUNT("name") FROM table_204_910 WHERE "result" > (SELECT "result" FROM table_204_910 WHERE "name" = 'tatyana bocharova') |
Which Type has a Capacity of 28 passengers, and a Number of 16? | CREATE TABLE table_8430 (
"Number" text,
"Builder" text,
"Type" text,
"Date" real,
"Length" text,
"Capacity" text
) | SELECT "Type" FROM table_8430 WHERE "Capacity" = '28 passengers' AND "Number" = '16' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which Type has a Capacity of 28 passengers, and a Number of 16? ### Input: CREATE TABLE table_8430 (
"Number" text,
"Builder" text,
"Type" text,
"Date" real,
"Length" text,
"Capacity" text
) ### Response: SELECT "Type" FROM table_8430 WHERE "Capacity" = '28 passengers' AND "Number" = '16' |
Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name. | CREATE TABLE people (
people_id number,
district text,
name text,
party text,
age number
)
CREATE TABLE debate_people (
debate_id number,
affirmative number,
negative number,
if_affirmative_win others
)
CREATE TABLE debate (
debate_id number,
date text,
venue text,
num_of_audience number
) | SELECT T3.name, T2.date, T2.venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.debate_id = T2.debate_id JOIN people AS T3 ON T1.negative = T3.people_id ORDER BY T3.name | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Show the names of people, and dates and venues of debates they are on the negative side, ordered in ascending alphabetical order of name. ### Input: CREATE TABLE people (
people_id number,
district text,
name text,
party text,
age number
)
CREATE TABLE debate_people (
debate_id number,
affirmative number,
negative number,
if_affirmative_win others
)
CREATE TABLE debate (
debate_id number,
date text,
venue text,
num_of_audience number
) ### Response: SELECT T3.name, T2.date, T2.venue FROM debate_people AS T1 JOIN debate AS T2 ON T1.debate_id = T2.debate_id JOIN people AS T3 ON T1.negative = T3.people_id ORDER BY T3.name |
is a 2 credit full house the same as a 5 credit three of a kind ? | CREATE TABLE table_203_564 (
id number,
"hand" text,
"1 credit" number,
"2 credits" number,
"3 credits" number,
"4 credits" number,
"5 credits" number
) | SELECT (SELECT "2 credits" FROM table_203_564 WHERE "hand" = 'full house') = (SELECT "5 credits" FROM table_203_564 WHERE "hand" = 'three of a kind') | squall | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: is a 2 credit full house the same as a 5 credit three of a kind ? ### Input: CREATE TABLE table_203_564 (
id number,
"hand" text,
"1 credit" number,
"2 credits" number,
"3 credits" number,
"4 credits" number,
"5 credits" number
) ### Response: SELECT (SELECT "2 credits" FROM table_203_564 WHERE "hand" = 'full house') = (SELECT "5 credits" FROM table_203_564 WHERE "hand" = 'three of a kind') |
Next semester , what time does the EDUC 510 lecture begin ? | CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
) | SELECT DISTINCT course_offering.start_time FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'EDUC' AND course.number = 510 AND semester.semester = 'FA' AND semester.year = 2016 | advising | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Next semester , what time does the EDUC 510 lecture begin ? ### Input: CREATE TABLE area (
course_id int,
area varchar
)
CREATE TABLE program (
program_id int,
name varchar,
college varchar,
introduction varchar
)
CREATE TABLE ta (
campus_job_id int,
student_id int,
location varchar
)
CREATE TABLE course (
course_id int,
name varchar,
department varchar,
number varchar,
credits varchar,
advisory_requirement varchar,
enforced_requirement varchar,
description varchar,
num_semesters int,
num_enrolled int,
has_discussion varchar,
has_lab varchar,
has_projects varchar,
has_exams varchar,
num_reviews int,
clarity_score int,
easiness_score int,
helpfulness_score int
)
CREATE TABLE offering_instructor (
offering_instructor_id int,
offering_id int,
instructor_id int
)
CREATE TABLE course_prerequisite (
pre_course_id int,
course_id int
)
CREATE TABLE requirement (
requirement_id int,
requirement varchar,
college varchar
)
CREATE TABLE jobs (
job_id int,
job_title varchar,
description varchar,
requirement varchar,
city varchar,
state varchar,
country varchar,
zip int
)
CREATE TABLE student (
student_id int,
lastname varchar,
firstname varchar,
program_id int,
declare_major varchar,
total_credit int,
total_gpa float,
entered_as varchar,
admit_term int,
predicted_graduation_semester int,
degree varchar,
minor varchar,
internship varchar
)
CREATE TABLE course_offering (
offering_id int,
course_id int,
semester int,
section_number int,
start_time time,
end_time time,
monday varchar,
tuesday varchar,
wednesday varchar,
thursday varchar,
friday varchar,
saturday varchar,
sunday varchar,
has_final_project varchar,
has_final_exam varchar,
textbook varchar,
class_address varchar,
allow_audit varchar
)
CREATE TABLE comment_instructor (
instructor_id int,
student_id int,
score int,
comment_text varchar
)
CREATE TABLE gsi (
course_offering_id int,
student_id int
)
CREATE TABLE program_course (
program_id int,
course_id int,
workload int,
category varchar
)
CREATE TABLE program_requirement (
program_id int,
category varchar,
min_credit int,
additional_req varchar
)
CREATE TABLE course_tags_count (
course_id int,
clear_grading int,
pop_quiz int,
group_projects int,
inspirational int,
long_lectures int,
extra_credit int,
few_tests int,
good_feedback int,
tough_tests int,
heavy_papers int,
cares_for_students int,
heavy_assignments int,
respected int,
participation int,
heavy_reading int,
tough_grader int,
hilarious int,
would_take_again int,
good_lecture int,
no_skip int
)
CREATE TABLE student_record (
student_id int,
course_id int,
semester int,
grade varchar,
how varchar,
transfer_source varchar,
earn_credit varchar,
repeat_term varchar,
test_id varchar
)
CREATE TABLE semester (
semester_id int,
semester varchar,
year int
)
CREATE TABLE instructor (
instructor_id int,
name varchar,
uniqname varchar
) ### Response: SELECT DISTINCT course_offering.start_time FROM course INNER JOIN program_course ON program_course.course_id = course.course_id INNER JOIN course_offering ON course.course_id = course_offering.course_id INNER JOIN semester ON semester.semester_id = course_offering.semester WHERE course.department = 'EDUC' AND course.number = 510 AND semester.semester = 'FA' AND semester.year = 2016 |
For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of code , and group by attribute name, sort total number of code in asc order. | CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
) | SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: For those records from the products and each product's manufacturer, a bar chart shows the distribution of name and the sum of code , and group by attribute name, sort total number of code in asc order. ### Input: CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
) ### Response: SELECT T2.Name, T1.Code FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T1.Code |
What was the highest round that had northwestern? | CREATE TABLE table_name_18 (
round INTEGER,
school VARCHAR
) | SELECT MAX(round) FROM table_name_18 WHERE school = "northwestern" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the highest round that had northwestern? ### Input: CREATE TABLE table_name_18 (
round INTEGER,
school VARCHAR
) ### Response: SELECT MAX(round) FROM table_name_18 WHERE school = "northwestern" |
What is the smallest Wins with a Position of 20th, and Poles smaller than 0? | CREATE TABLE table_name_19 (
wins INTEGER,
position VARCHAR,
poles VARCHAR
) | SELECT MIN(wins) FROM table_name_19 WHERE position = "20th" AND poles < 0 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the smallest Wins with a Position of 20th, and Poles smaller than 0? ### Input: CREATE TABLE table_name_19 (
wins INTEGER,
position VARCHAR,
poles VARCHAR
) ### Response: SELECT MIN(wins) FROM table_name_19 WHERE position = "20th" AND poles < 0 |
Who is listed under mens singles when womens has wang nan zhang yining? | CREATE TABLE table_30306 (
"Year Location" text,
"Mens Singles" text,
"Womens Singles" text,
"Mens Doubles" text,
"Womens Doubles" text
) | SELECT "Mens Singles" FROM table_30306 WHERE "Womens Doubles" = 'Wang Nan Zhang Yining' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Who is listed under mens singles when womens has wang nan zhang yining? ### Input: CREATE TABLE table_30306 (
"Year Location" text,
"Mens Singles" text,
"Womens Singles" text,
"Mens Doubles" text,
"Womens Doubles" text
) ### Response: SELECT "Mens Singles" FROM table_30306 WHERE "Womens Doubles" = 'Wang Nan Zhang Yining' |
What are the start and end dates for incidents with incident type code 'NOISE'? | CREATE TABLE Behavior_Incident (
date_incident_start VARCHAR,
date_incident_end VARCHAR,
incident_type_code VARCHAR
) | SELECT date_incident_start, date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What are the start and end dates for incidents with incident type code 'NOISE'? ### Input: CREATE TABLE Behavior_Incident (
date_incident_start VARCHAR,
date_incident_end VARCHAR,
incident_type_code VARCHAR
) ### Response: SELECT date_incident_start, date_incident_end FROM Behavior_Incident WHERE incident_type_code = "NOISE" |
For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, return a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, display by the the average of manager id in ascending please. | CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
) | SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(MANAGER_ID) | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: For those employees whose salary is in the range of 8000 and 12000 and commission is not null or department number does not equal to 40, return a bar chart about the distribution of hire_date and the average of manager_id bin hire_date by weekday, display by the the average of manager id in ascending please. ### Input: CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
) ### Response: SELECT HIRE_DATE, AVG(MANAGER_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY AVG(MANAGER_ID) |
who is listed as the last responsible mister -lrb- s -rrb- on this chart ? | CREATE TABLE table_204_988 (
id number,
"responsible minister(s)" text,
"crown entities" text,
"monitoring department(s)" text,
"category / type" text,
"empowering legislation" text
) | SELECT "responsible minister(s)" FROM table_204_988 ORDER BY id DESC LIMIT 1 | squall | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: who is listed as the last responsible mister -lrb- s -rrb- on this chart ? ### Input: CREATE TABLE table_204_988 (
id number,
"responsible minister(s)" text,
"crown entities" text,
"monitoring department(s)" text,
"category / type" text,
"empowering legislation" text
) ### Response: SELECT "responsible minister(s)" FROM table_204_988 ORDER BY id DESC LIMIT 1 |
Users with highest reputation both in SO and Math ( geometric mean = average digits). | CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
) | SELECT s.DisplayName, s.Reputation AS RepSO, m.Reputation AS RepMath, (LOG10(s.Reputation) + LOG10(m.Reputation)) / 2 AS RepAvDigits FROM "stackexchange.math".Users AS m, "stackoverflow".Users AS s WHERE s.Reputation > 10000 AND m.Reputation > 10000 AND s.AccountId = m.AccountId ORDER BY 4 DESC | sede | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Users with highest reputation both in SO and Math ( geometric mean = average digits). ### Input: CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
) ### Response: SELECT s.DisplayName, s.Reputation AS RepSO, m.Reputation AS RepMath, (LOG10(s.Reputation) + LOG10(m.Reputation)) / 2 AS RepAvDigits FROM "stackexchange.math".Users AS m, "stackoverflow".Users AS s WHERE s.Reputation > 10000 AND m.Reputation > 10000 AND s.AccountId = m.AccountId ORDER BY 4 DESC |
What is the series # when the director is john showalter? | CREATE TABLE table_29747178_2 (
series__number VARCHAR,
directed_by VARCHAR
) | SELECT series__number FROM table_29747178_2 WHERE directed_by = "John Showalter" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the series # when the director is john showalter? ### Input: CREATE TABLE table_29747178_2 (
series__number VARCHAR,
directed_by VARCHAR
) ### Response: SELECT series__number FROM table_29747178_2 WHERE directed_by = "John Showalter" |
provide the number of patients whose admission type is emergency and diagnosis long title is other drugs and medicinal substances causing adverse effects in therapeutic use. | CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Other drugs and medicinal substances causing adverse effects in therapeutic use" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: provide the number of patients whose admission type is emergency and diagnosis long title is other drugs and medicinal substances causing adverse effects in therapeutic use. ### Input: CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_type = "EMERGENCY" AND diagnoses.long_title = "Other drugs and medicinal substances causing adverse effects in therapeutic use" |
What was the regular season standings for the year when the playoffs reached the conference semifinals and the team did not qualify for the US Open Cup? | CREATE TABLE table_19191 (
"Year" real,
"League" text,
"Reg. Season" text,
"Playoffs" text,
"US Open Cup" text,
"Avg. Attendance" real
) | SELECT "Reg. Season" FROM table_19191 WHERE "Playoffs" = 'Conference Semifinals' AND "US Open Cup" = 'Did not qualify' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the regular season standings for the year when the playoffs reached the conference semifinals and the team did not qualify for the US Open Cup? ### Input: CREATE TABLE table_19191 (
"Year" real,
"League" text,
"Reg. Season" text,
"Playoffs" text,
"US Open Cup" text,
"Avg. Attendance" real
) ### Response: SELECT "Reg. Season" FROM table_19191 WHERE "Playoffs" = 'Conference Semifinals' AND "US Open Cup" = 'Did not qualify' |
How much Long has a Loss larger than 2, and a Gain of 157, and an Avg/G smaller than 129? | CREATE TABLE table_37490 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/G" real
) | SELECT SUM("Long") FROM table_37490 WHERE "Loss" > '2' AND "Gain" = '157' AND "Avg/G" < '129' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How much Long has a Loss larger than 2, and a Gain of 157, and an Avg/G smaller than 129? ### Input: CREATE TABLE table_37490 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/G" real
) ### Response: SELECT SUM("Long") FROM table_37490 WHERE "Loss" > '2' AND "Gain" = '157' AND "Avg/G" < '129' |
How many pages does the edition with a volume # smaller than 8 and an ISBM of 1-40122-892-5 have? | CREATE TABLE table_7363 (
"Vol. #" real,
"Title" text,
"Material collected" text,
"Pages" real,
"ISBN" text
) | SELECT SUM("Pages") FROM table_7363 WHERE "Vol. #" < '8' AND "ISBN" = '1-40122-892-5' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How many pages does the edition with a volume # smaller than 8 and an ISBM of 1-40122-892-5 have? ### Input: CREATE TABLE table_7363 (
"Vol. #" real,
"Title" text,
"Material collected" text,
"Pages" real,
"ISBN" text
) ### Response: SELECT SUM("Pages") FROM table_7363 WHERE "Vol. #" < '8' AND "ISBN" = '1-40122-892-5' |
Ranking of questions by score. | CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
) | SELECT Posts.Id AS "post_link", Posts.Title, Posts.Score AS Score FROM Posts ORDER BY Posts.Score DESC LIMIT 100 | sede | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Ranking of questions by score. ### Input: CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
) ### Response: SELECT Posts.Id AS "post_link", Posts.Title, Posts.Score AS Score FROM Posts ORDER BY Posts.Score DESC LIMIT 100 |
Which Game has a Score of w 90 82 (ot)? | CREATE TABLE table_name_40 (
game VARCHAR,
score VARCHAR
) | SELECT game FROM table_name_40 WHERE score = "w 90–82 (ot)" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which Game has a Score of w 90 82 (ot)? ### Input: CREATE TABLE table_name_40 (
game VARCHAR,
score VARCHAR
) ### Response: SELECT game FROM table_name_40 WHERE score = "w 90–82 (ot)" |
What was the largest crowd when Collingwood was the away team? | CREATE TABLE table_name_67 (
crowd INTEGER,
away_team VARCHAR
) | SELECT MAX(crowd) FROM table_name_67 WHERE away_team = "collingwood" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the largest crowd when Collingwood was the away team? ### Input: CREATE TABLE table_name_67 (
crowd INTEGER,
away_team VARCHAR
) ### Response: SELECT MAX(crowd) FROM table_name_67 WHERE away_team = "collingwood" |
Name the number of cancelled for turnham green | CREATE TABLE table_24185 (
"Station" text,
"Line" text,
"Planned" real,
"Cancelled" real,
"Proposal" text,
"Details" text
) | SELECT COUNT("Cancelled") FROM table_24185 WHERE "Station" = 'Turnham Green' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the number of cancelled for turnham green ### Input: CREATE TABLE table_24185 (
"Station" text,
"Line" text,
"Planned" real,
"Cancelled" real,
"Proposal" text,
"Details" text
) ### Response: SELECT COUNT("Cancelled") FROM table_24185 WHERE "Station" = 'Turnham Green' |
What is the highest attendance of the match with a 2:0 score and vida as the away team? | CREATE TABLE table_name_59 (
attendance INTEGER,
score VARCHAR,
away VARCHAR
) | SELECT MAX(attendance) FROM table_name_59 WHERE score = "2:0" AND away = "vida" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the highest attendance of the match with a 2:0 score and vida as the away team? ### Input: CREATE TABLE table_name_59 (
attendance INTEGER,
score VARCHAR,
away VARCHAR
) ### Response: SELECT MAX(attendance) FROM table_name_59 WHERE score = "2:0" AND away = "vida" |
Visualize a pie chart with what are the names and seatings for all tracks opened after 2000? | CREATE TABLE track (
Track_ID int,
Name text,
Location text,
Seating real,
Year_Opened real
)
CREATE TABLE race (
Race_ID int,
Name text,
Class text,
Date text,
Track_ID text
) | SELECT Name, Seating FROM track WHERE Year_Opened > 2000 | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Visualize a pie chart with what are the names and seatings for all tracks opened after 2000? ### Input: CREATE TABLE track (
Track_ID int,
Name text,
Location text,
Seating real,
Year_Opened real
)
CREATE TABLE race (
Race_ID int,
Name text,
Class text,
Date text,
Track_ID text
) ### Response: SELECT Name, Seating FROM track WHERE Year_Opened > 2000 |
Show the name for regions and the number of storms for each region by a bar chart, and sort from high to low by the X-axis. | CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
) | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY Region_name DESC | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Show the name for regions and the number of storms for each region by a bar chart, and sort from high to low by the X-axis. ### Input: CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
) ### Response: SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY Region_name DESC |
What is the Attendance of the game with a Record of 37 21 12 and less than 86 Points? | CREATE TABLE table_name_44 (
attendance INTEGER,
record VARCHAR,
points VARCHAR
) | SELECT AVG(attendance) FROM table_name_44 WHERE record = "37–21–12" AND points < 86 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the Attendance of the game with a Record of 37 21 12 and less than 86 Points? ### Input: CREATE TABLE table_name_44 (
attendance INTEGER,
record VARCHAR,
points VARCHAR
) ### Response: SELECT AVG(attendance) FROM table_name_44 WHERE record = "37–21–12" AND points < 86 |
How many yards per attempt have net yards greater than 631? | CREATE TABLE table_name_17 (
yards_per_attempt INTEGER,
net_yards INTEGER
) | SELECT SUM(yards_per_attempt) FROM table_name_17 WHERE net_yards > 631 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How many yards per attempt have net yards greater than 631? ### Input: CREATE TABLE table_name_17 (
yards_per_attempt INTEGER,
net_yards INTEGER
) ### Response: SELECT SUM(yards_per_attempt) FROM table_name_17 WHERE net_yards > 631 |
What is the primary disease and diagnosis icd9 code of Josette Orr? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Josette Orr" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the primary disease and diagnosis icd9 code of Josette Orr? ### Input: CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) ### Response: SELECT demographic.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Josette Orr" |
Name the scores for david baddiel and maureen lipman | CREATE TABLE table_23575917_2 (
scores VARCHAR,
davids_team VARCHAR
) | SELECT COUNT(scores) FROM table_23575917_2 WHERE davids_team = "David Baddiel and Maureen Lipman" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the scores for david baddiel and maureen lipman ### Input: CREATE TABLE table_23575917_2 (
scores VARCHAR,
davids_team VARCHAR
) ### Response: SELECT COUNT(scores) FROM table_23575917_2 WHERE davids_team = "David Baddiel and Maureen Lipman" |
Name the role for mono studio and title of paradise canyon | CREATE TABLE table_name_62 (
role VARCHAR,
studio VARCHAR,
title VARCHAR
) | SELECT role FROM table_name_62 WHERE studio = "mono" AND title = "paradise canyon" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the role for mono studio and title of paradise canyon ### Input: CREATE TABLE table_name_62 (
role VARCHAR,
studio VARCHAR,
title VARCHAR
) ### Response: SELECT role FROM table_name_62 WHERE studio = "mono" AND title = "paradise canyon" |
Name the total with finish of t22 | CREATE TABLE table_name_24 (
total VARCHAR,
finish VARCHAR
) | SELECT total FROM table_name_24 WHERE finish = "t22" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the total with finish of t22 ### Input: CREATE TABLE table_name_24 (
total VARCHAR,
finish VARCHAR
) ### Response: SELECT total FROM table_name_24 WHERE finish = "t22" |
If the opponent was @ Boston Bruins, what was the Location/Attendance? | CREATE TABLE table_3782 (
"Game" real,
"January" real,
"Opponent" text,
"Score" text,
"Decision" text,
"Location/Attendance" text,
"Record" text
) | SELECT "Location/Attendance" FROM table_3782 WHERE "Opponent" = '@ Boston Bruins' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: If the opponent was @ Boston Bruins, what was the Location/Attendance? ### Input: CREATE TABLE table_3782 (
"Game" real,
"January" real,
"Opponent" text,
"Score" text,
"Decision" text,
"Location/Attendance" text,
"Record" text
) ### Response: SELECT "Location/Attendance" FROM table_3782 WHERE "Opponent" = '@ Boston Bruins' |
What was the ticket price on September 16, 1986? | CREATE TABLE table_64443 (
"Date(s)" text,
"Venue" text,
"City" text,
"Ticket price(s)" text,
"Ticket sold / available" text,
"Ticket grossing" text
) | SELECT "Ticket price(s)" FROM table_64443 WHERE "Date(s)" = 'september 16, 1986' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What was the ticket price on September 16, 1986? ### Input: CREATE TABLE table_64443 (
"Date(s)" text,
"Venue" text,
"City" text,
"Ticket price(s)" text,
"Ticket sold / available" text,
"Ticket grossing" text
) ### Response: SELECT "Ticket price(s)" FROM table_64443 WHERE "Date(s)" = 'september 16, 1986' |
Name the high rebounds for memphis | CREATE TABLE table_17060277_7 (
high_rebounds VARCHAR,
team VARCHAR
) | SELECT high_rebounds FROM table_17060277_7 WHERE team = "Memphis" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the high rebounds for memphis ### Input: CREATE TABLE table_17060277_7 (
high_rebounds VARCHAR,
team VARCHAR
) ### Response: SELECT high_rebounds FROM table_17060277_7 WHERE team = "Memphis" |
Tell me the the date when the first claim was made. | CREATE TABLE settlements (
settlement_id number,
claim_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number,
customer_policy_id number
)
CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE claims (
claim_id number,
policy_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number
)
CREATE TABLE payments (
payment_id number,
settlement_id number,
payment_method_code text,
date_payment_made time,
amount_payment number
)
CREATE TABLE customer_policies (
policy_id number,
customer_id number,
policy_type_code text,
start_date time,
end_date time
) | SELECT date_claim_made FROM claims ORDER BY date_claim_made LIMIT 1 | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Tell me the the date when the first claim was made. ### Input: CREATE TABLE settlements (
settlement_id number,
claim_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number,
customer_policy_id number
)
CREATE TABLE customers (
customer_id number,
customer_details text
)
CREATE TABLE claims (
claim_id number,
policy_id number,
date_claim_made time,
date_claim_settled time,
amount_claimed number,
amount_settled number
)
CREATE TABLE payments (
payment_id number,
settlement_id number,
payment_method_code text,
date_payment_made time,
amount_payment number
)
CREATE TABLE customer_policies (
policy_id number,
customer_id number,
policy_type_code text,
start_date time,
end_date time
) ### Response: SELECT date_claim_made FROM claims ORDER BY date_claim_made LIMIT 1 |
Tell me the outgoing manager for 22 november date of vacancy | CREATE TABLE table_77878 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text
) | SELECT "Outgoing manager" FROM table_77878 WHERE "Date of vacancy" = '22 november' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Tell me the outgoing manager for 22 november date of vacancy ### Input: CREATE TABLE table_77878 (
"Team" text,
"Outgoing manager" text,
"Manner of departure" text,
"Date of vacancy" text,
"Replaced by" text,
"Date of appointment" text
) ### Response: SELECT "Outgoing manager" FROM table_77878 WHERE "Date of vacancy" = '22 november' |
For those products with a price between 60 and 120, return a bar chart about the distribution of name and manufacturer , and sort in desc by the y-axis. | CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) | SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Manufacturer DESC | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: For those products with a price between 60 and 120, return a bar chart about the distribution of name and manufacturer , and sort in desc by the y-axis. ### Input: CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
) ### Response: SELECT Name, Manufacturer FROM Products WHERE Price BETWEEN 60 AND 120 ORDER BY Manufacturer DESC |
Who won the FIS Nordic World Ski Championships in 1972? | CREATE TABLE table_50927 (
"Winner" text,
"Country" text,
"Winter Olympics" real,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
) | SELECT "Winner" FROM table_50927 WHERE "FIS Nordic World Ski Championships" = '1972' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Who won the FIS Nordic World Ski Championships in 1972? ### Input: CREATE TABLE table_50927 (
"Winner" text,
"Country" text,
"Winter Olympics" real,
"FIS Nordic World Ski Championships" text,
"Holmenkollen" text
) ### Response: SELECT "Winner" FROM table_50927 WHERE "FIS Nordic World Ski Championships" = '1972' |
For those employees who was hired before 2002-06-21, give me the comparison about the average of department_id over the job_id , and group by attribute job_id, show x-axis in descending order. | CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
) | SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC | nvbench | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: For those employees who was hired before 2002-06-21, give me the comparison about the average of department_id over the job_id , and group by attribute job_id, show x-axis in descending order. ### Input: CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
) ### Response: SELECT JOB_ID, AVG(DEPARTMENT_ID) FROM employees WHERE HIRE_DATE < '2002-06-21' GROUP BY JOB_ID ORDER BY JOB_ID DESC |
Name the listed owners for brevak racing | CREATE TABLE table_2187178_1 (
listed_owner_s_ VARCHAR,
team VARCHAR
) | SELECT listed_owner_s_ FROM table_2187178_1 WHERE team = "Brevak Racing" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the listed owners for brevak racing ### Input: CREATE TABLE table_2187178_1 (
listed_owner_s_ VARCHAR,
team VARCHAR
) ### Response: SELECT listed_owner_s_ FROM table_2187178_1 WHERE team = "Brevak Racing" |
What is the sum total of all the years with a bell that weighed 857 kilograms? | CREATE TABLE table_7061 (
"Year" real,
"Foundry" text,
"Diameter (mm)" real,
"Weight (kg)" text,
"Nominal Tone" text
) | SELECT SUM("Year") FROM table_7061 WHERE "Weight (kg)" = '857' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the sum total of all the years with a bell that weighed 857 kilograms? ### Input: CREATE TABLE table_7061 (
"Year" real,
"Foundry" text,
"Diameter (mm)" real,
"Weight (kg)" text,
"Nominal Tone" text
) ### Response: SELECT SUM("Year") FROM table_7061 WHERE "Weight (kg)" = '857' |
Questions with 'Magento' in title. | CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
) | SELECT Id AS "post_link" FROM Posts WHERE Title LIKE '%Magento%' | sede | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Questions with 'Magento' in title. ### Input: CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
) ### Response: SELECT Id AS "post_link" FROM Posts WHERE Title LIKE '%Magento%' |
What is Chris Riley's Money? | CREATE TABLE table_name_46 (
money___$__ VARCHAR,
player VARCHAR
) | SELECT money___$__ FROM table_name_46 WHERE player = "chris riley" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is Chris Riley's Money? ### Input: CREATE TABLE table_name_46 (
money___$__ VARCHAR,
player VARCHAR
) ### Response: SELECT money___$__ FROM table_name_46 WHERE player = "chris riley" |
What are the speeds of the longest roller coaster? | CREATE TABLE country (
country_id number,
name text,
population number,
area number,
languages text
)
CREATE TABLE roller_coaster (
roller_coaster_id number,
name text,
park text,
country_id number,
length number,
height number,
speed text,
opened text,
status text
) | SELECT speed FROM roller_coaster ORDER BY length DESC LIMIT 1 | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What are the speeds of the longest roller coaster? ### Input: CREATE TABLE country (
country_id number,
name text,
population number,
area number,
languages text
)
CREATE TABLE roller_coaster (
roller_coaster_id number,
name text,
park text,
country_id number,
length number,
height number,
speed text,
opened text,
status text
) ### Response: SELECT speed FROM roller_coaster ORDER BY length DESC LIMIT 1 |
What are the lowest points with 2013 as the year, and goals less than 0? | CREATE TABLE table_name_48 (
points INTEGER,
year VARCHAR,
goals VARCHAR
) | SELECT MIN(points) FROM table_name_48 WHERE year = "2013" AND goals < 0 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What are the lowest points with 2013 as the year, and goals less than 0? ### Input: CREATE TABLE table_name_48 (
points INTEGER,
year VARCHAR,
goals VARCHAR
) ### Response: SELECT MIN(points) FROM table_name_48 WHERE year = "2013" AND goals < 0 |
Who were the runner(s)-up when Tiger won by 11 strokes? | CREATE TABLE table_16888 (
"Year" real,
"Championship" text,
"54 holes" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
) | SELECT "Runner(s)-up" FROM table_16888 WHERE "Margin of victory" = '11 strokes' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Who were the runner(s)-up when Tiger won by 11 strokes? ### Input: CREATE TABLE table_16888 (
"Year" real,
"Championship" text,
"54 holes" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
) ### Response: SELECT "Runner(s)-up" FROM table_16888 WHERE "Margin of victory" = '11 strokes' |
Name the segment a for 8-08 | CREATE TABLE table_15187735_8 (
segment_a VARCHAR,
series_ep VARCHAR
) | SELECT segment_a FROM table_15187735_8 WHERE series_ep = "8-08" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Name the segment a for 8-08 ### Input: CREATE TABLE table_15187735_8 (
segment_a VARCHAR,
series_ep VARCHAR
) ### Response: SELECT segment_a FROM table_15187735_8 WHERE series_ep = "8-08" |
How many outputs are there for solid state, battery operated for portable use listed in notes? | CREATE TABLE table_25276250_3 (
outputs VARCHAR,
notes VARCHAR
) | SELECT COUNT(outputs) FROM table_25276250_3 WHERE notes = "Solid state, battery operated for portable use" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: How many outputs are there for solid state, battery operated for portable use listed in notes? ### Input: CREATE TABLE table_25276250_3 (
outputs VARCHAR,
notes VARCHAR
) ### Response: SELECT COUNT(outputs) FROM table_25276250_3 WHERE notes = "Solid state, battery operated for portable use" |
If the rank is 17, what are the names? | CREATE TABLE table_24990183_7 (
name VARCHAR,
rank VARCHAR
) | SELECT name FROM table_24990183_7 WHERE rank = 17 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: If the rank is 17, what are the names? ### Input: CREATE TABLE table_24990183_7 (
name VARCHAR,
rank VARCHAR
) ### Response: SELECT name FROM table_24990183_7 WHERE rank = 17 |
What is the 1979 number for Standing Rock Indian Reservation when the 1989 is less than 54.9? | CREATE TABLE table_name_51 (
reservation VARCHAR
) | SELECT SUM(1979) FROM table_name_51 WHERE reservation = "standing rock indian reservation" AND 1989 < 54.9 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the 1979 number for Standing Rock Indian Reservation when the 1989 is less than 54.9? ### Input: CREATE TABLE table_name_51 (
reservation VARCHAR
) ### Response: SELECT SUM(1979) FROM table_name_51 WHERE reservation = "standing rock indian reservation" AND 1989 < 54.9 |
What is Opponent, when Attendance is 58,836? | CREATE TABLE table_49308 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
) | SELECT "Opponent" FROM table_49308 WHERE "Attendance" = '58,836' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is Opponent, when Attendance is 58,836? ### Input: CREATE TABLE table_49308 (
"Week" real,
"Date" text,
"Opponent" text,
"Result" text,
"Attendance" text
) ### Response: SELECT "Opponent" FROM table_49308 WHERE "Attendance" = '58,836' |
What is the mean huc example code when the example name's lower snake, there are 6 digits, and less than 3 levels? | CREATE TABLE table_41893 (
"Name" text,
"Level" real,
"Digits" real,
"Average size (square miles)" text,
"Number of HUs (approximate)" real,
"Example name" text,
"Example code (HUC)" real
) | SELECT AVG("Example code (HUC)") FROM table_41893 WHERE "Example name" = 'lower snake' AND "Digits" = '6' AND "Level" < '3' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the mean huc example code when the example name's lower snake, there are 6 digits, and less than 3 levels? ### Input: CREATE TABLE table_41893 (
"Name" text,
"Level" real,
"Digits" real,
"Average size (square miles)" text,
"Number of HUs (approximate)" real,
"Example name" text,
"Example code (HUC)" real
) ### Response: SELECT AVG("Example code (HUC)") FROM table_41893 WHERE "Example name" = 'lower snake' AND "Digits" = '6' AND "Level" < '3' |
What is the quarterfinal week for Austin Anderson? | CREATE TABLE table_29572 (
"Name/Name of Act" text,
"Age(s)" text,
"Genre" text,
"Act" text,
"Hometown" text,
"Qtr. Final (Week)" real,
"Semi Final (Week)" text,
"Position Reached" text
) | SELECT MIN("Qtr. Final (Week)") FROM table_29572 WHERE "Name/Name of Act" = 'Austin Anderson' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the quarterfinal week for Austin Anderson? ### Input: CREATE TABLE table_29572 (
"Name/Name of Act" text,
"Age(s)" text,
"Genre" text,
"Act" text,
"Hometown" text,
"Qtr. Final (Week)" real,
"Semi Final (Week)" text,
"Position Reached" text
) ### Response: SELECT MIN("Qtr. Final (Week)") FROM table_29572 WHERE "Name/Name of Act" = 'Austin Anderson' |
What is the volume when the resrvoir is Tanes? | CREATE TABLE table_30696 (
"Reservoir" text,
"Basin" text,
"Location" text,
"Type" text,
"Height (m)" text,
"Length along the top (m)" text,
"Drainage basin (km\u00b2)" text,
"Reservoir surface (ha)" text,
"Volume (hm\u00b3)" text
) | SELECT "Volume (hm\u00b3)" FROM table_30696 WHERE "Reservoir" = 'Tanes' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What is the volume when the resrvoir is Tanes? ### Input: CREATE TABLE table_30696 (
"Reservoir" text,
"Basin" text,
"Location" text,
"Type" text,
"Height (m)" text,
"Length along the top (m)" text,
"Drainage basin (km\u00b2)" text,
"Reservoir surface (ha)" text,
"Volume (hm\u00b3)" text
) ### Response: SELECT "Volume (hm\u00b3)" FROM table_30696 WHERE "Reservoir" = 'Tanes' |
provide the number of patients whose days of hospital stay is greater than 23 and drug code is acyc400? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "23" AND prescriptions.formulary_drug_cd = "ACYC400" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: provide the number of patients whose days of hospital stay is greater than 23 and drug code is acyc400? ### Input: CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.days_stay > "23" AND prescriptions.formulary_drug_cd = "ACYC400" |
What's the title of the audio book with story number 91? | CREATE TABLE table_23576 (
"Story #" real,
"Target #" text,
"Title" text,
"Author" text,
"Reader" text,
"Format" text,
"Company" text,
"Release Date" text,
"Notes" text
) | SELECT "Title" FROM table_23576 WHERE "Story #" = '91' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What's the title of the audio book with story number 91? ### Input: CREATE TABLE table_23576 (
"Story #" real,
"Target #" text,
"Title" text,
"Author" text,
"Reader" text,
"Format" text,
"Company" text,
"Release Date" text,
"Notes" text
) ### Response: SELECT "Title" FROM table_23576 WHERE "Story #" = '91' |
What class is ERP W of 800? | CREATE TABLE table_name_9 (
class VARCHAR,
erp_w VARCHAR
) | SELECT class FROM table_name_9 WHERE erp_w = 800 | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What class is ERP W of 800? ### Input: CREATE TABLE table_name_9 (
class VARCHAR,
erp_w VARCHAR
) ### Response: SELECT class FROM table_name_9 WHERE erp_w = 800 |
tell me the cost of the diagnosis for smoking cessation counseling given? | CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
) | SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'smoking cessation counseling given') | eicu | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: tell me the cost of the diagnosis for smoking cessation counseling given? ### Input: CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE patient (
uniquepid text,
patienthealthsystemstayid number,
patientunitstayid number,
gender text,
age text,
ethnicity text,
hospitalid number,
wardid number,
admissionheight number,
admissionweight number,
dischargeweight number,
hospitaladmittime time,
hospitaladmitsource text,
unitadmittime time,
unitdischargetime time,
hospitaldischargetime time,
hospitaldischargestatus text
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
) ### Response: SELECT DISTINCT cost.cost FROM cost WHERE cost.eventtype = 'diagnosis' AND cost.eventid IN (SELECT diagnosis.diagnosisid FROM diagnosis WHERE diagnosis.diagnosisname = 'smoking cessation counseling given') |
what is the total number of patients who were diagnosed with icd9 code 2254? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "2254" | mimicsql_data | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: what is the total number of patients who were diagnosed with icd9 code 2254? ### Input: CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE diagnoses.icd9_code = "2254" |
Give me the maximum low temperature and average precipitation at the Amersham station. | CREATE TABLE station (
id number,
network_name text,
services text,
local_authority text
)
CREATE TABLE route (
train_id number,
station_id number
)
CREATE TABLE weekly_weather (
station_id number,
day_of_week text,
high_temperature number,
low_temperature number,
precipitation number,
wind_speed_mph number
)
CREATE TABLE train (
id number,
train_number number,
name text,
origin text,
destination text,
time text,
interval text
) | SELECT MAX(t1.low_temperature), AVG(t1.precipitation) FROM weekly_weather AS t1 JOIN station AS t2 ON t1.station_id = t2.id WHERE t2.network_name = "Amersham" | spider | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Give me the maximum low temperature and average precipitation at the Amersham station. ### Input: CREATE TABLE station (
id number,
network_name text,
services text,
local_authority text
)
CREATE TABLE route (
train_id number,
station_id number
)
CREATE TABLE weekly_weather (
station_id number,
day_of_week text,
high_temperature number,
low_temperature number,
precipitation number,
wind_speed_mph number
)
CREATE TABLE train (
id number,
train_number number,
name text,
origin text,
destination text,
time text,
interval text
) ### Response: SELECT MAX(t1.low_temperature), AVG(t1.precipitation) FROM weekly_weather AS t1 JOIN station AS t2 ON t1.station_id = t2.id WHERE t2.network_name = "Amersham" |
Which event was held at Manly Beach? | CREATE TABLE table_name_20 (
event VARCHAR,
location VARCHAR
) | SELECT event FROM table_name_20 WHERE location = "manly beach" | sql_create_context | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Which event was held at Manly Beach? ### Input: CREATE TABLE table_name_20 (
event VARCHAR,
location VARCHAR
) ### Response: SELECT event FROM table_name_20 WHERE location = "manly beach" |
Who was the home team against the Bolton Wanderers? | CREATE TABLE table_43959 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" text
) | SELECT "Home team" FROM table_43959 WHERE "Away team" = 'bolton wanderers' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Who was the home team against the Bolton Wanderers? ### Input: CREATE TABLE table_43959 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Attendance" text
) ### Response: SELECT "Home team" FROM table_43959 WHERE "Away team" = 'bolton wanderers' |
All Info About Mobile Android Testing. | CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
) | SELECT P.OwnerUserId, P.Title, P.Tags, P.ViewCount, P.Score, P.AnswerCount, P.CreationDate FROM Posts AS P WHERE (P.Tags LIKE '%android-testing%') OR (P.Tags LIKE '%robotium%') OR (P.Tags LIKE '%androidviewclient%') OR (P.Tags LIKE '%monkeyrunner%') OR (P.Tags LIKE '%android-espresso%') OR (P.Tags LIKE '%android-emulator%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%uiautomator%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%appium%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%calabash%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%test%') ORDER BY P.Score DESC | sede | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: All Info About Mobile Android Testing. ### Input: CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE CloseAsOffTopicReasonTypes (
Id number,
IsUniversal boolean,
InputTitle text,
MarkdownInputGuidance text,
MarkdownPostOwnerGuidance text,
MarkdownPrivilegedUserGuidance text,
MarkdownConcensusDescription text,
CreationDate time,
CreationModeratorId number,
ApprovalDate time,
ApprovalModeratorId number,
DeactivationDate time,
DeactivationModeratorId number
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistory (
Id number,
PostHistoryTypeId number,
PostId number,
RevisionGUID other,
CreationDate time,
UserId number,
UserDisplayName text,
Comment text,
Text text,
ContentLicense text
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE SuggestedEdits (
Id number,
PostId number,
CreationDate time,
ApprovalDate time,
RejectionDate time,
OwnerUserId number,
Comment text,
Text text,
Title text,
Tags text,
RevisionGUID other
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE Users (
Id number,
Reputation number,
CreationDate time,
DisplayName text,
LastAccessDate time,
WebsiteUrl text,
Location text,
AboutMe text,
Views number,
UpVotes number,
DownVotes number,
ProfileImageUrl text,
EmailHash text,
AccountId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE Posts (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewTaskTypes (
Id number,
Name text,
Description text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostsWithDeleted (
Id number,
PostTypeId number,
AcceptedAnswerId number,
ParentId number,
CreationDate time,
DeletionDate time,
Score number,
ViewCount number,
Body text,
OwnerUserId number,
OwnerDisplayName text,
LastEditorUserId number,
LastEditorDisplayName text,
LastEditDate time,
LastActivityDate time,
Title text,
Tags text,
AnswerCount number,
CommentCount number,
FavoriteCount number,
ClosedDate time,
CommunityOwnedDate time,
ContentLicense text
)
CREATE TABLE Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE Comments (
Id number,
PostId number,
Score number,
Text text,
CreationDate time,
UserDisplayName text,
UserId number,
ContentLicense text
) ### Response: SELECT P.OwnerUserId, P.Title, P.Tags, P.ViewCount, P.Score, P.AnswerCount, P.CreationDate FROM Posts AS P WHERE (P.Tags LIKE '%android-testing%') OR (P.Tags LIKE '%robotium%') OR (P.Tags LIKE '%androidviewclient%') OR (P.Tags LIKE '%monkeyrunner%') OR (P.Tags LIKE '%android-espresso%') OR (P.Tags LIKE '%android-emulator%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%uiautomator%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%appium%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%calabash%') OR (P.Tags LIKE '%android%' AND P.Tags LIKE '%test%') ORDER BY P.Score DESC |
Tell me the away team score for away team of south melbourne | CREATE TABLE table_51600 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) | SELECT "Away team score" FROM table_51600 WHERE "Away team" = 'south melbourne' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: Tell me the away team score for away team of south melbourne ### Input: CREATE TABLE table_51600 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) ### Response: SELECT "Away team score" FROM table_51600 WHERE "Away team" = 'south melbourne' |
What year was the downy woodpecker coin created? | CREATE TABLE table_55306 (
"Year" real,
"Animal" text,
"Artist" text,
"Finish" text,
"Mintage" real,
"Issue Price" text
) | SELECT SUM("Year") FROM table_55306 WHERE "Animal" = 'downy woodpecker' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What year was the downy woodpecker coin created? ### Input: CREATE TABLE table_55306 (
"Year" real,
"Animal" text,
"Artist" text,
"Finish" text,
"Mintage" real,
"Issue Price" text
) ### Response: SELECT SUM("Year") FROM table_55306 WHERE "Animal" = 'downy woodpecker' |
What model has a launch of September 3, 2010? | CREATE TABLE table_28269 (
"Model" text,
"Launch" text,
"Code name" text,
"Transistors (million)" real,
"Die size (mm 2 )" real,
"Bus interface" text,
"Memory ( MB )" text,
"SM count" real,
"Core config 1,3" text,
"Core ( MHz )" real,
"Shader ( MHz )" real,
"Memory ( MHz )" text,
"Pixel ( GP /s)" text,
"Texture ( GT /s)" text,
"Bandwidth ( GB /s)" text,
"DRAM type" text,
"Bus width ( bit )" real,
"GFLOPS (FMA) 2" text,
"TDP (watts)" real,
"Release price (USD)" text
) | SELECT "Model" FROM table_28269 WHERE "Launch" = 'September 3, 2010' | wikisql | Below are sql tables schemas paired with instruction that describes a task. Using valid SQLite, write a response that appropriately completes the request for the provided tables. ### Instruction: What model has a launch of September 3, 2010? ### Input: CREATE TABLE table_28269 (
"Model" text,
"Launch" text,
"Code name" text,
"Transistors (million)" real,
"Die size (mm 2 )" real,
"Bus interface" text,
"Memory ( MB )" text,
"SM count" real,
"Core config 1,3" text,
"Core ( MHz )" real,
"Shader ( MHz )" real,
"Memory ( MHz )" text,
"Pixel ( GP /s)" text,
"Texture ( GT /s)" text,
"Bandwidth ( GB /s)" text,
"DRAM type" text,
"Bus width ( bit )" real,
"GFLOPS (FMA) 2" text,
"TDP (watts)" real,
"Release price (USD)" text
) ### Response: SELECT "Model" FROM table_28269 WHERE "Launch" = 'September 3, 2010' |
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