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|---|---|---|---|---|
who was the first player picked in round four ?
|
CREATE TABLE table_203_676 (
id number,
"pick #" number,
"cfl team" text,
"player" text,
"position" text,
"college" text
)
|
SELECT "player" FROM table_203_676 ORDER BY "pick #" 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 was the first player picked in round four ? ### Input: CREATE TABLE table_203_676 (
id number,
"pick #" number,
"cfl team" text,
"player" text,
"position" text,
"college" text
) ### Response: SELECT "player" FROM table_203_676 ORDER BY "pick #" LIMIT 1
|
How many times is there a golden tickets entry when the callback venue is rcti studio, jakarta?
|
CREATE TABLE table_30771 (
"Episode air date" text,
"Audition city" text,
"Date" text,
"Venue" text,
"Callback date" text,
"Callback venue" text,
"Golden tickets" real
)
|
SELECT COUNT("Golden tickets") FROM table_30771 WHERE "Callback venue" = 'RCTI Studio, Jakarta'
|
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 times is there a golden tickets entry when the callback venue is rcti studio, jakarta? ### Input: CREATE TABLE table_30771 (
"Episode air date" text,
"Audition city" text,
"Date" text,
"Venue" text,
"Callback date" text,
"Callback venue" text,
"Golden tickets" real
) ### Response: SELECT COUNT("Golden tickets") FROM table_30771 WHERE "Callback venue" = 'RCTI Studio, Jakarta'
|
What date did the West Indies win the match?
|
CREATE TABLE table_22384475_1 (
match_date VARCHAR,
winner VARCHAR
)
|
SELECT match_date FROM table_22384475_1 WHERE winner = "West Indies"
|
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 date did the West Indies win the match? ### Input: CREATE TABLE table_22384475_1 (
match_date VARCHAR,
winner VARCHAR
) ### Response: SELECT match_date FROM table_22384475_1 WHERE winner = "West Indies"
|
who is playing for when the opponent is deportes savio and the date is 2010-03-11?
|
CREATE TABLE table_name_95 (
playing_for VARCHAR,
opponent VARCHAR,
date VARCHAR
)
|
SELECT playing_for FROM table_name_95 WHERE opponent = "deportes savio" AND date = "2010-03-11"
|
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: who is playing for when the opponent is deportes savio and the date is 2010-03-11? ### Input: CREATE TABLE table_name_95 (
playing_for VARCHAR,
opponent VARCHAR,
date VARCHAR
) ### Response: SELECT playing_for FROM table_name_95 WHERE opponent = "deportes savio" AND date = "2010-03-11"
|
what season had a score of 1:0
|
CREATE TABLE table_name_4 (
season VARCHAR,
score VARCHAR
)
|
SELECT season FROM table_name_4 WHERE score = "1:0"
|
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 season had a score of 1:0 ### Input: CREATE TABLE table_name_4 (
season VARCHAR,
score VARCHAR
) ### Response: SELECT season FROM table_name_4 WHERE score = "1:0"
|
i need a flight leaving PITTSBURGH next monday arriving in FORT WORTH before 1000
|
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description 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 equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
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 airline (
airline_code varchar,
airline_name text,
note 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 time_interval (
period text,
begin_time int,
end_time int
)
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 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 date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE month (
month_number int,
month_name text
)
|
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, date_day, days, flight WHERE ((date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.arrival_time < 1000 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'FORT WORTH' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
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: i need a flight leaving PITTSBURGH next monday arriving in FORT WORTH before 1000 ### Input: CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description 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 equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE city (
city_code varchar,
city_name varchar,
state_code varchar,
country_name varchar,
time_zone_code varchar
)
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
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 days (
days_code varchar,
day_name varchar
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
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 airline (
airline_code varchar,
airline_name text,
note 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 time_interval (
period text,
begin_time int,
end_time int
)
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 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 date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE time_zone (
time_zone_code text,
time_zone_name text,
hours_from_gmt int
)
CREATE TABLE airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE flight_fare (
flight_id int,
fare_id int
)
CREATE TABLE state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE month (
month_number int,
month_name text
) ### 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, date_day, days, flight WHERE ((date_day.day_number = 21 AND date_day.month_number = 2 AND date_day.year = 1991 AND days.day_name = date_day.day_name AND flight.arrival_time < 1000 AND flight.flight_days = days.days_code) AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'FORT WORTH' AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND CITY_0.city_code = AIRPORT_SERVICE_0.city_code AND CITY_0.city_name = 'PITTSBURGH' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code
|
how many directors are in the england films ?
|
CREATE TABLE table_204_652 (
id number,
"title" text,
"year" number,
"director" text,
"country" text,
"genre" text,
"notes" text
)
|
SELECT COUNT("director") FROM table_204_652 WHERE "country" = 'england'
|
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 directors are in the england films ? ### Input: CREATE TABLE table_204_652 (
id number,
"title" text,
"year" number,
"director" text,
"country" text,
"genre" text,
"notes" text
) ### Response: SELECT COUNT("director") FROM table_204_652 WHERE "country" = 'england'
|
What is the report for the race that Mike Spence won.
|
CREATE TABLE table_215 (
"Race Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Constructor" text,
"Report" text
)
|
SELECT "Report" FROM table_215 WHERE "Winning driver" = 'Mike Spence'
|
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 report for the race that Mike Spence won. ### Input: CREATE TABLE table_215 (
"Race Name" text,
"Circuit" text,
"Date" text,
"Winning driver" text,
"Constructor" text,
"Report" text
) ### Response: SELECT "Report" FROM table_215 WHERE "Winning driver" = 'Mike Spence'
|
What is the lowest game that has a drawn less than 0?
|
CREATE TABLE table_6360 (
"Games" real,
"Drawn" real,
"Lost" real,
"Points difference" text,
"Points" real
)
|
SELECT MIN("Games") FROM table_6360 WHERE "Drawn" < '0'
|
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 lowest game that has a drawn less than 0? ### Input: CREATE TABLE table_6360 (
"Games" real,
"Drawn" real,
"Lost" real,
"Points difference" text,
"Points" real
) ### Response: SELECT MIN("Games") FROM table_6360 WHERE "Drawn" < '0'
|
give me the number of patients who had open and other sigmoidectomy and had psychiatric facility-partial hospitalization discharge.
|
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 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND procedures.short_title = "Open sigmoidectomy NEC"
|
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: give me the number of patients who had open and other sigmoidectomy and had psychiatric facility-partial hospitalization discharge. ### Input: 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 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.discharge_location = "DISCH-TRAN TO PSYCH HOSP" AND procedures.short_title = "Open sigmoidectomy NEC"
|
What does Polyphenyl Ether of 3- and 4-ring oxythio look like?
|
CREATE TABLE table_name_80 (
appearance VARCHAR,
polyphenyl_ether VARCHAR
)
|
SELECT appearance FROM table_name_80 WHERE polyphenyl_ether = "3- and 4-ring oxythio"
|
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 does Polyphenyl Ether of 3- and 4-ring oxythio look like? ### Input: CREATE TABLE table_name_80 (
appearance VARCHAR,
polyphenyl_ether VARCHAR
) ### Response: SELECT appearance FROM table_name_80 WHERE polyphenyl_ether = "3- and 4-ring oxythio"
|
list of patient ids of patients who were diagnosed with s/p surgical repair of fracture - femur since 5 years ago.
|
CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime 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
)
|
SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 's/p surgical repair of fracture - femur' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-5 year'))
|
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: list of patient ids of patients who were diagnosed with s/p surgical repair of fracture - femur since 5 years ago. ### Input: CREATE TABLE treatment (
treatmentid number,
patientunitstayid number,
treatmentname text,
treatmenttime time
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE microlab (
microlabid number,
patientunitstayid number,
culturesite text,
organism text,
culturetakentime time
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime 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
) ### Response: SELECT patient.uniquepid FROM patient WHERE patient.patientunitstayid IN (SELECT diagnosis.patientunitstayid FROM diagnosis WHERE diagnosis.diagnosisname = 's/p surgical repair of fracture - femur' AND DATETIME(diagnosis.diagnosistime) >= DATETIME(CURRENT_TIME(), '-5 year'))
|
Name the final place for july 25, 2009
|
CREATE TABLE table_2954 (
"Competition" text,
"Final position" text,
"First match" text,
"Last match" text,
"Final Place" text
)
|
SELECT "Final Place" FROM table_2954 WHERE "Last match" = 'July 25, 2009'
|
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 final place for july 25, 2009 ### Input: CREATE TABLE table_2954 (
"Competition" text,
"Final position" text,
"First match" text,
"Last match" text,
"Final Place" text
) ### Response: SELECT "Final Place" FROM table_2954 WHERE "Last match" = 'July 25, 2009'
|
What venue has the away side scoring 6.5 (41)?
|
CREATE TABLE table_51418 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Venue" FROM table_51418 WHERE "Away team score" = '6.5 (41)'
|
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 has the away side scoring 6.5 (41)? ### Input: CREATE TABLE table_51418 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) ### Response: SELECT "Venue" FROM table_51418 WHERE "Away team score" = '6.5 (41)'
|
What home team has coventry city as the away team?
|
CREATE TABLE table_name_45 (
home_team VARCHAR,
away_team VARCHAR
)
|
SELECT home_team FROM table_name_45 WHERE away_team = "coventry city"
|
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 home team has coventry city as the away team? ### Input: CREATE TABLE table_name_45 (
home_team VARCHAR,
away_team VARCHAR
) ### Response: SELECT home_team FROM table_name_45 WHERE away_team = "coventry city"
|
What was the score when set 3 was 26-28?
|
CREATE TABLE table_name_78 (
score VARCHAR,
set_3 VARCHAR
)
|
SELECT score FROM table_name_78 WHERE set_3 = "26-28"
|
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 score when set 3 was 26-28? ### Input: CREATE TABLE table_name_78 (
score VARCHAR,
set_3 VARCHAR
) ### Response: SELECT score FROM table_name_78 WHERE set_3 = "26-28"
|
nonstop flights DENVER to KANSAS CITY
|
CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
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 airline (
airline_code varchar,
airline_name text,
note 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 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 airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id 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 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 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 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 state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
)
|
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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.stops = 0
|
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: nonstop flights DENVER to KANSAS CITY ### Input: CREATE TABLE class_of_service (
booking_class varchar,
rank int,
class_description text
)
CREATE TABLE time_interval (
period text,
begin_time int,
end_time int
)
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 airline (
airline_code varchar,
airline_name text,
note 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 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 airport_service (
city_code varchar,
airport_code varchar,
miles_distant int,
direction varchar,
minutes_distant int
)
CREATE TABLE flight_leg (
flight_id int,
leg_number int,
leg_flight int
)
CREATE TABLE date_day (
month_number int,
day_number int,
year int,
day_name varchar
)
CREATE TABLE equipment_sequence (
aircraft_code_sequence varchar,
aircraft_code varchar
)
CREATE TABLE month (
month_number int,
month_name text
)
CREATE TABLE code_description (
code varchar,
description text
)
CREATE TABLE days (
days_code varchar,
day_name varchar
)
CREATE TABLE flight_fare (
flight_id int,
fare_id 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 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 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 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 state (
state_code text,
state_name text,
country_name text
)
CREATE TABLE compartment_class (
compartment varchar,
class_type varchar
)
CREATE TABLE ground_service (
city_code text,
airport_code text,
transport_type text,
ground_fare int
)
CREATE TABLE food_service (
meal_code text,
meal_number int,
compartment text,
meal_description varchar
)
CREATE TABLE dual_carrier (
main_airline varchar,
low_flight_number int,
high_flight_number int,
dual_airline varchar,
service_name text
) ### 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 = 'DENVER' AND CITY_1.city_code = AIRPORT_SERVICE_1.city_code AND CITY_1.city_name = 'KANSAS CITY' AND flight.from_airport = AIRPORT_SERVICE_0.airport_code AND flight.to_airport = AIRPORT_SERVICE_1.airport_code) AND flight.stops = 0
|
What is team 1 when team 2 is Manchester United?
|
CREATE TABLE table_name_45 (
team_1 VARCHAR,
team_2 VARCHAR
)
|
SELECT team_1 FROM table_name_45 WHERE team_2 = "manchester united"
|
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 team 1 when team 2 is Manchester United? ### Input: CREATE TABLE table_name_45 (
team_1 VARCHAR,
team_2 VARCHAR
) ### Response: SELECT team_1 FROM table_name_45 WHERE team_2 = "manchester united"
|
The head coach, steve radoslavic, is related to which websites?
|
CREATE TABLE table_11365528_2 (
website VARCHAR,
head_coach VARCHAR
)
|
SELECT website FROM table_11365528_2 WHERE head_coach = "Steve Radoslavic"
|
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: The head coach, steve radoslavic, is related to which websites? ### Input: CREATE TABLE table_11365528_2 (
website VARCHAR,
head_coach VARCHAR
) ### Response: SELECT website FROM table_11365528_2 WHERE head_coach = "Steve Radoslavic"
|
What is the lower turnout that has a byut of 50.7 and an ou psd smaller than 36.8?
|
CREATE TABLE table_51994 (
"Region" text,
"Voter registration" real,
"Voter turnout" real,
"BYuT" real,
"OU-PSD" real
)
|
SELECT MIN("Voter turnout") FROM table_51994 WHERE "BYuT" = '50.7' AND "OU-PSD" < '36.8'
|
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 lower turnout that has a byut of 50.7 and an ou psd smaller than 36.8? ### Input: CREATE TABLE table_51994 (
"Region" text,
"Voter registration" real,
"Voter turnout" real,
"BYuT" real,
"OU-PSD" real
) ### Response: SELECT MIN("Voter turnout") FROM table_51994 WHERE "BYuT" = '50.7' AND "OU-PSD" < '36.8'
|
specify birthdate and death status of patient mary davis
|
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 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 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.dob, demographic.expire_flag FROM demographic WHERE demographic.name = "Mary Davis"
|
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: specify birthdate and death status of patient mary davis ### Input: 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 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 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.dob, demographic.expire_flag FROM demographic WHERE demographic.name = "Mary Davis"
|
tell me the name of the medication patient 13473 was first prescribed via iv route?
|
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
|
SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13473) AND prescriptions.route = 'iv' ORDER BY prescriptions.startdate LIMIT 1
|
mimic_iii
|
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 name of the medication patient 13473 was first prescribed via iv route? ### Input: CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
) ### Response: SELECT prescriptions.drug FROM prescriptions WHERE prescriptions.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 13473) AND prescriptions.route = 'iv' ORDER BY prescriptions.startdate LIMIT 1
|
Which college had an overall pick of 9?
|
CREATE TABLE table_name_31 (
college VARCHAR,
overall VARCHAR
)
|
SELECT college FROM table_name_31 WHERE overall = 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: Which college had an overall pick of 9? ### Input: CREATE TABLE table_name_31 (
college VARCHAR,
overall VARCHAR
) ### Response: SELECT college FROM table_name_31 WHERE overall = 9
|
What lead has the third David Nedohin?
|
CREATE TABLE table_75739 (
"Season" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text
)
|
SELECT "Lead" FROM table_75739 WHERE "Third" = 'david nedohin'
|
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 lead has the third David Nedohin? ### Input: CREATE TABLE table_75739 (
"Season" text,
"Skip" text,
"Third" text,
"Second" text,
"Lead" text
) ### Response: SELECT "Lead" FROM table_75739 WHERE "Third" = 'david nedohin'
|
participation in another study
|
CREATE TABLE table_train_57 (
"id" int,
"bleeding" int,
"in_another_study" bool,
"hiv_infection" bool,
"hepatitis_c_infection" bool,
"receiving_vasopressor" bool,
"hypotension" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_57 WHERE in_another_study = 1
|
criteria2sql
|
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: participation in another study ### Input: CREATE TABLE table_train_57 (
"id" int,
"bleeding" int,
"in_another_study" bool,
"hiv_infection" bool,
"hepatitis_c_infection" bool,
"receiving_vasopressor" bool,
"hypotension" bool,
"NOUSE" float
) ### Response: SELECT * FROM table_train_57 WHERE in_another_study = 1
|
which game did georgia score the largest amount of points in ?
|
CREATE TABLE table_203_809 (
id number,
"date" text,
"time" text,
"opponent#" text,
"rank#" text,
"site" text,
"tv" text,
"result" text,
"attendance" number
)
|
SELECT "date" FROM table_203_809 ORDER BY "result" 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: which game did georgia score the largest amount of points in ? ### Input: CREATE TABLE table_203_809 (
id number,
"date" text,
"time" text,
"opponent#" text,
"rank#" text,
"site" text,
"tv" text,
"result" text,
"attendance" number
) ### Response: SELECT "date" FROM table_203_809 ORDER BY "result" DESC LIMIT 1
|
What yacht type is involved where Bob Oatley is the skipper?
|
CREATE TABLE table_27808 (
"Position" real,
"Race number" text,
"Sail number" text,
"Yacht" text,
"State/country" text,
"Yacht type" text,
"LOA (Metres)" text,
"Skipper" text,
"Elapsed time d:hh:mm:ss" text
)
|
SELECT "Yacht type" FROM table_27808 WHERE "Skipper" = 'Bob Oatley'
|
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 yacht type is involved where Bob Oatley is the skipper? ### Input: CREATE TABLE table_27808 (
"Position" real,
"Race number" text,
"Sail number" text,
"Yacht" text,
"State/country" text,
"Yacht type" text,
"LOA (Metres)" text,
"Skipper" text,
"Elapsed time d:hh:mm:ss" text
) ### Response: SELECT "Yacht type" FROM table_27808 WHERE "Skipper" = 'Bob Oatley'
|
For patient id 9271, specify the location of the admission with the time
|
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 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 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
)
|
SELECT demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "9271"
|
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: For patient id 9271, specify the location of the admission with the time ### 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 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 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
) ### Response: SELECT demographic.admission_location, demographic.admittime FROM demographic WHERE demographic.subject_id = "9271"
|
Who are the scorers on 1 August 2008, where the ground was A?
|
CREATE TABLE table_63135 (
"Match" real,
"Date" text,
"Competition or tour" text,
"Ground" text,
"Opponent" text,
"Score1" text,
"Scorers" text
)
|
SELECT "Scorers" FROM table_63135 WHERE "Ground" = 'a' AND "Date" = '1 august 2008'
|
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 are the scorers on 1 August 2008, where the ground was A? ### Input: CREATE TABLE table_63135 (
"Match" real,
"Date" text,
"Competition or tour" text,
"Ground" text,
"Opponent" text,
"Score1" text,
"Scorers" text
) ### Response: SELECT "Scorers" FROM table_63135 WHERE "Ground" = 'a' AND "Date" = '1 august 2008'
|
is there any nasopharynx microbiology test history of patient 031-16123 until 1 year ago?
|
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 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
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
|
SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) AND microlab.culturesite = 'nasopharynx' AND DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
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: is there any nasopharynx microbiology test history of patient 031-16123 until 1 year ago? ### Input: 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 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
)
CREATE TABLE intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime time
)
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 medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime time
)
CREATE TABLE allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
) ### Response: SELECT COUNT(*) FROM microlab WHERE microlab.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '031-16123')) AND microlab.culturesite = 'nasopharynx' AND DATETIME(microlab.culturetakentime) <= DATETIME(CURRENT_TIME(), '-1 year')
|
What was the decision of the Kings game when Chicago was the visiting team?
|
CREATE TABLE table_77722 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
)
|
SELECT "Decision" FROM table_77722 WHERE "Visitor" = 'chicago'
|
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 decision of the Kings game when Chicago was the visiting team? ### Input: CREATE TABLE table_77722 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Attendance" real,
"Record" text
) ### Response: SELECT "Decision" FROM table_77722 WHERE "Visitor" = 'chicago'
|
What's the part 3 of the verb in class 5?
|
CREATE TABLE table_1745843_6 (
part_3 VARCHAR,
class VARCHAR
)
|
SELECT part_3 FROM table_1745843_6 WHERE class = "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: What's the part 3 of the verb in class 5? ### Input: CREATE TABLE table_1745843_6 (
part_3 VARCHAR,
class VARCHAR
) ### Response: SELECT part_3 FROM table_1745843_6 WHERE class = "5"
|
how many patients whose admission location is trsf within this facility and diagnoses long title is abdominal pain, other specified site?
|
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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND diagnoses.long_title = "Abdominal pain, other specified site"
|
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: how many patients whose admission location is trsf within this facility and diagnoses long title is abdominal pain, other specified site? ### 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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "TRSF WITHIN THIS FACILITY" AND diagnoses.long_title = "Abdominal pain, other specified site"
|
Draw a bar chart about the distribution of meter_600 and meter_100 .
|
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
|
SELECT meter_600, meter_100 FROM swimmer
|
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: Draw a bar chart about the distribution of meter_600 and meter_100 . ### Input: CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
) ### Response: SELECT meter_600, meter_100 FROM swimmer
|
Which year averaged less than 9 points?
|
CREATE TABLE table_15252 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
)
|
SELECT AVG("Year") FROM table_15252 WHERE "Points" < '9'
|
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 year averaged less than 9 points? ### Input: CREATE TABLE table_15252 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Points" real
) ### Response: SELECT AVG("Year") FROM table_15252 WHERE "Points" < '9'
|
What is the most lanes used in races with more than 1 heat and a winning mark of 7.25?
|
CREATE TABLE table_name_60 (
lane INTEGER,
heat VARCHAR,
mark VARCHAR
)
|
SELECT MAX(lane) FROM table_name_60 WHERE heat > 1 AND mark = "7.25"
|
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 most lanes used in races with more than 1 heat and a winning mark of 7.25? ### Input: CREATE TABLE table_name_60 (
lane INTEGER,
heat VARCHAR,
mark VARCHAR
) ### Response: SELECT MAX(lane) FROM table_name_60 WHERE heat > 1 AND mark = "7.25"
|
How big is the land in square miles of Grand Forks county?
|
CREATE TABLE table_18600760_10 (
land___sqmi__ VARCHAR,
county VARCHAR
)
|
SELECT land___sqmi__ FROM table_18600760_10 WHERE county = "Grand Forks"
|
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 big is the land in square miles of Grand Forks county? ### Input: CREATE TABLE table_18600760_10 (
land___sqmi__ VARCHAR,
county VARCHAR
) ### Response: SELECT land___sqmi__ FROM table_18600760_10 WHERE county = "Grand Forks"
|
During the Tournament in which Ji Nov k was absent(A) in 1995, absent(A) in 1997, and made it to the 3rd round (3R) in 2003, how did he do in 2006?
|
CREATE TABLE table_7411 (
"Tournament" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text
)
|
SELECT "2006" FROM table_7411 WHERE "1995" = 'a' AND "1997" = 'a' AND "2003" = '3r'
|
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: During the Tournament in which Ji Nov k was absent(A) in 1995, absent(A) in 1997, and made it to the 3rd round (3R) in 2003, how did he do in 2006? ### Input: CREATE TABLE table_7411 (
"Tournament" text,
"1995" text,
"1996" text,
"1997" text,
"1998" text,
"1999" text,
"2000" text,
"2001" text,
"2002" text,
"2003" text,
"2004" text,
"2005" text,
"2006" text
) ### Response: SELECT "2006" FROM table_7411 WHERE "1995" = 'a' AND "1997" = 'a' AND "2003" = '3r'
|
Find the start and end dates of detentions of teachers with last name 'Schultz'.
|
CREATE TABLE Detention (
datetime_detention_start VARCHAR,
teacher_id VARCHAR
)
CREATE TABLE Teachers (
teacher_id VARCHAR,
last_name VARCHAR
)
|
SELECT T1.datetime_detention_start, datetime_detention_end FROM Detention AS T1 JOIN Teachers AS T2 ON T1.teacher_id = T2.teacher_id WHERE T2.last_name = "Schultz"
|
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: Find the start and end dates of detentions of teachers with last name 'Schultz'. ### Input: CREATE TABLE Detention (
datetime_detention_start VARCHAR,
teacher_id VARCHAR
)
CREATE TABLE Teachers (
teacher_id VARCHAR,
last_name VARCHAR
) ### Response: SELECT T1.datetime_detention_start, datetime_detention_end FROM Detention AS T1 JOIN Teachers AS T2 ON T1.teacher_id = T2.teacher_id WHERE T2.last_name = "Schultz"
|
give me the number of patients whose lab test name is troponin i?
|
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
)
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 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 lab.label = "Troponin I"
|
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: give me the number of patients whose lab test name is troponin i? ### 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 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 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 lab.label = "Troponin I"
|
On what Date was Judy Rankin Runner(s)-up?
|
CREATE TABLE table_name_64 (
date VARCHAR,
runner_s__up VARCHAR
)
|
SELECT date FROM table_name_64 WHERE runner_s__up = "judy rankin"
|
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: On what Date was Judy Rankin Runner(s)-up? ### Input: CREATE TABLE table_name_64 (
date VARCHAR,
runner_s__up VARCHAR
) ### Response: SELECT date FROM table_name_64 WHERE runner_s__up = "judy rankin"
|
has .9% normal saline been administered to patient 25814 on this hospital visit?
|
CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
)
|
SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25814 AND admissions.dischtime IS NULL)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv')
|
mimic_iii
|
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: has .9% normal saline been administered to patient 25814 on this hospital visit? ### Input: CREATE TABLE admissions (
row_id number,
subject_id number,
hadm_id number,
admittime time,
dischtime time,
admission_type text,
admission_location text,
discharge_location text,
insurance text,
language text,
marital_status text,
ethnicity text,
age number
)
CREATE TABLE d_icd_diagnoses (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE inputevents_cv (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
amount number
)
CREATE TABLE diagnoses_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE outputevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
charttime time,
itemid number,
value number
)
CREATE TABLE d_items (
row_id number,
itemid number,
label text,
linksto text
)
CREATE TABLE d_icd_procedures (
row_id number,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE icustays (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
first_careunit text,
last_careunit text,
first_wardid number,
last_wardid number,
intime time,
outtime time
)
CREATE TABLE microbiologyevents (
row_id number,
subject_id number,
hadm_id number,
charttime time,
spec_type_desc text,
org_name text
)
CREATE TABLE cost (
row_id number,
subject_id number,
hadm_id number,
event_type text,
event_id number,
chargetime time,
cost number
)
CREATE TABLE procedures_icd (
row_id number,
subject_id number,
hadm_id number,
icd9_code text,
charttime time
)
CREATE TABLE transfers (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
eventtype text,
careunit text,
wardid number,
intime time,
outtime time
)
CREATE TABLE patients (
row_id number,
subject_id number,
gender text,
dob time,
dod time
)
CREATE TABLE labevents (
row_id number,
subject_id number,
hadm_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE d_labitems (
row_id number,
itemid number,
label text
)
CREATE TABLE chartevents (
row_id number,
subject_id number,
hadm_id number,
icustay_id number,
itemid number,
charttime time,
valuenum number,
valueuom text
)
CREATE TABLE prescriptions (
row_id number,
subject_id number,
hadm_id number,
startdate time,
enddate time,
drug text,
dose_val_rx text,
dose_unit_rx text,
route text
) ### Response: SELECT COUNT(*) > 0 FROM inputevents_cv WHERE inputevents_cv.icustay_id IN (SELECT icustays.icustay_id FROM icustays WHERE icustays.hadm_id IN (SELECT admissions.hadm_id FROM admissions WHERE admissions.subject_id = 25814 AND admissions.dischtime IS NULL)) AND inputevents_cv.itemid IN (SELECT d_items.itemid FROM d_items WHERE d_items.label = '.9% normal saline' AND d_items.linksto = 'inputevents_cv')
|
what is the total number of titles coil released on 7 ' vinyl ?
|
CREATE TABLE table_203_607 (
id number,
"catalogue number" text,
"artist" text,
"release title" text,
"format" text,
"release date" text
)
|
SELECT COUNT("release title") FROM table_203_607 WHERE "format" = '7" vinyl'
|
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: what is the total number of titles coil released on 7 ' vinyl ? ### Input: CREATE TABLE table_203_607 (
id number,
"catalogue number" text,
"artist" text,
"release title" text,
"format" text,
"release date" text
) ### Response: SELECT COUNT("release title") FROM table_203_607 WHERE "format" = '7" vinyl'
|
Draw a bar chart about the distribution of Name and Height , I want to order by the Y-axis in asc.
|
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
|
SELECT Name, Height FROM people ORDER BY Height
|
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: Draw a bar chart about the distribution of Name and Height , I want to order by the Y-axis in asc. ### Input: CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
) ### Response: SELECT Name, Height FROM people ORDER BY Height
|
What is the most laps for Ayrton Senna?
|
CREATE TABLE table_name_6 (
laps INTEGER,
driver VARCHAR
)
|
SELECT MAX(laps) FROM table_name_6 WHERE driver = "ayrton senna"
|
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 most laps for Ayrton Senna? ### Input: CREATE TABLE table_name_6 (
laps INTEGER,
driver VARCHAR
) ### Response: SELECT MAX(laps) FROM table_name_6 WHERE driver = "ayrton senna"
|
provide the marital status of subject id 2560.
|
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
)
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
)
|
SELECT demographic.marital_status FROM demographic WHERE demographic.subject_id = "2560"
|
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 marital status of subject id 2560. ### 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 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 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
) ### Response: SELECT demographic.marital_status FROM demographic WHERE demographic.subject_id = "2560"
|
What is the relationship between account id and name for all account? Return a scatter chart.
|
CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
order_id INTEGER,
invoice_date DATETIME
)
CREATE TABLE Invoice_Line_Items (
order_item_id INTEGER,
invoice_number INTEGER,
product_id INTEGER,
product_title VARCHAR(80),
product_quantity VARCHAR(50),
product_price DECIMAL(19,4),
derived_product_cost DECIMAL(19,4),
derived_vat_payable DECIMAL(19,4),
derived_total_cost DECIMAL(19,4)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER,
product_quantity VARCHAR(50),
other_order_item_details VARCHAR(255)
)
CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
production_type_code VARCHAR(15),
unit_price DECIMAL(19,4),
product_name VARCHAR(80),
product_color VARCHAR(20),
product_size VARCHAR(20)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),
login_name VARCHAR(80),
login_password VARCHAR(20),
phone_number VARCHAR(255),
town_city VARCHAR(50),
state_county_province VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
account_id INTEGER,
invoice_number INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DECIMAL(19,4),
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
)
|
SELECT account_id, account_name FROM Accounts GROUP BY other_account_details
|
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: What is the relationship between account id and name for all account? Return a scatter chart. ### Input: CREATE TABLE Orders (
order_id INTEGER,
customer_id INTEGER,
date_order_placed DATETIME,
order_details VARCHAR(255)
)
CREATE TABLE Invoices (
invoice_number INTEGER,
order_id INTEGER,
invoice_date DATETIME
)
CREATE TABLE Invoice_Line_Items (
order_item_id INTEGER,
invoice_number INTEGER,
product_id INTEGER,
product_title VARCHAR(80),
product_quantity VARCHAR(50),
product_price DECIMAL(19,4),
derived_product_cost DECIMAL(19,4),
derived_vat_payable DECIMAL(19,4),
derived_total_cost DECIMAL(19,4)
)
CREATE TABLE Order_Items (
order_item_id INTEGER,
order_id INTEGER,
product_id INTEGER,
product_quantity VARCHAR(50),
other_order_item_details VARCHAR(255)
)
CREATE TABLE Product_Categories (
production_type_code VARCHAR(15),
product_type_description VARCHAR(80),
vat_rating DECIMAL(19,4)
)
CREATE TABLE Products (
product_id INTEGER,
parent_product_id INTEGER,
production_type_code VARCHAR(15),
unit_price DECIMAL(19,4),
product_name VARCHAR(80),
product_color VARCHAR(20),
product_size VARCHAR(20)
)
CREATE TABLE Accounts (
account_id INTEGER,
customer_id INTEGER,
date_account_opened DATETIME,
account_name VARCHAR(50),
other_account_details VARCHAR(255)
)
CREATE TABLE Customers (
customer_id INTEGER,
customer_first_name VARCHAR(50),
customer_middle_initial VARCHAR(1),
customer_last_name VARCHAR(50),
gender VARCHAR(1),
email_address VARCHAR(255),
login_name VARCHAR(80),
login_password VARCHAR(20),
phone_number VARCHAR(255),
town_city VARCHAR(50),
state_county_province VARCHAR(50),
country VARCHAR(50)
)
CREATE TABLE Financial_Transactions (
transaction_id INTEGER,
account_id INTEGER,
invoice_number INTEGER,
transaction_type VARCHAR(15),
transaction_date DATETIME,
transaction_amount DECIMAL(19,4),
transaction_comment VARCHAR(255),
other_transaction_details VARCHAR(255)
) ### Response: SELECT account_id, account_name FROM Accounts GROUP BY other_account_details
|
how many patients with other phototherapy procedure were hospitalized for more than 4 days?
|
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 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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "4" AND procedures.short_title = "Other phototherapy"
|
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: how many patients with other phototherapy procedure were hospitalized for more than 4 days? ### 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 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 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
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.days_stay > "4" AND procedures.short_title = "Other phototherapy"
|
How many papers does Graham Neubig have in TACL
|
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE field (
fieldid int
)
|
SELECT DISTINCT COUNT(paper.paperid) FROM author, paper, venue, writes WHERE author.authorname = 'Graham Neubig' AND venue.venueid = paper.venueid AND venue.venuename = 'TACL' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
scholar
|
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 papers does Graham Neubig have in TACL ### Input: CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE field (
fieldid int
) ### Response: SELECT DISTINCT COUNT(paper.paperid) FROM author, paper, venue, writes WHERE author.authorname = 'Graham Neubig' AND venue.venueid = paper.venueid AND venue.venuename = 'TACL' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
What is the name of the episode written by glen mazzara?
|
CREATE TABLE table_31441 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers (million)" text
)
|
SELECT "Title" FROM table_31441 WHERE "Written by" = 'Glen Mazzara'
|
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 name of the episode written by glen mazzara? ### Input: CREATE TABLE table_31441 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Viewers (million)" text
) ### Response: SELECT "Title" FROM table_31441 WHERE "Written by" = 'Glen Mazzara'
|
What is the number of school/club teams held by BYU?
|
CREATE TABLE table_16854 (
"Player" text,
"No." real,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
)
|
SELECT MIN("No.") FROM table_16854 WHERE "School/Club Team" = 'BYU'
|
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 number of school/club teams held by BYU? ### Input: CREATE TABLE table_16854 (
"Player" text,
"No." real,
"Nationality" text,
"Position" text,
"Years for Jazz" text,
"School/Club Team" text
) ### Response: SELECT MIN("No.") FROM table_16854 WHERE "School/Club Team" = 'BYU'
|
Total votes of users by user-rep.
|
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 VoteTypes (
Id number,
Name 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 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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskStates (
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 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
)
|
SELECT (UpVotes + DownVotes) AS "Total Votes" FROM Users WHERE Id = 1340599
|
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: Total votes of users by user-rep. ### Input: 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 VoteTypes (
Id number,
Name 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 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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
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 TagSynonyms (
Id number,
SourceTagName text,
TargetTagName text,
CreationDate time,
OwnerUserId number,
AutoRenameCount number,
LastAutoRename time,
Score number,
ApprovedByUserId number,
ApprovalDate time
)
CREATE TABLE ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
CREATE TABLE ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId number
)
CREATE TABLE PostTags (
PostId number,
TagId number
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId 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 ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostFeedback (
Id number,
PostId number,
IsAnonymous boolean,
VoteTypeId number,
CreationDate time
)
CREATE TABLE Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostTypes (
Id number,
Name text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
CREATE TABLE Badges (
Id number,
UserId number,
Name text,
Date time,
Class number,
TagBased boolean
)
CREATE TABLE ReviewTaskStates (
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 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE FlagTypes (
Id number,
Name text,
Description text
) ### Response: SELECT (UpVotes + DownVotes) AS "Total Votes" FROM Users WHERE Id = 1340599
|
provide the number of patients whose ethnicity is hispanic/latino - puerto rican and item id is 50967?
|
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
)
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 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.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND lab.itemid = "50967"
|
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 ethnicity is hispanic/latino - puerto rican and item id is 50967? ### 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 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 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.ethnicity = "HISPANIC/LATINO - PUERTO RICAN" AND lab.itemid = "50967"
|
how many living patients had globulin lab test done?
|
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 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.expire_flag = "0" AND lab.label = "Globulin"
|
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: how many living patients had globulin lab test done? ### 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 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) ### Response: SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.expire_flag = "0" AND lab.label = "Globulin"
|
how many stations broadcast with a power of 5kw ?
|
CREATE TABLE table_204_164 (
id number,
"branding" text,
"callsign" text,
"frequency" text,
"power (kw)" text,
"location" text
)
|
SELECT COUNT("branding") FROM table_204_164 WHERE "power (kw)" = 5
|
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 stations broadcast with a power of 5kw ? ### Input: CREATE TABLE table_204_164 (
id number,
"branding" text,
"callsign" text,
"frequency" text,
"power (kw)" text,
"location" text
) ### Response: SELECT COUNT("branding") FROM table_204_164 WHERE "power (kw)" = 5
|
Show the unique first names, last names, and phone numbers for all customers with any account.
|
CREATE TABLE invoice_line_items (
order_item_id number,
invoice_number number,
product_id number,
product_title text,
product_quantity text,
product_price number,
derived_product_cost number,
derived_vat_payable number,
derived_total_cost number
)
CREATE TABLE order_items (
order_item_id number,
order_id number,
product_id number,
product_quantity text,
other_order_item_details text
)
CREATE TABLE orders (
order_id number,
customer_id number,
date_order_placed time,
order_details text
)
CREATE TABLE accounts (
account_id number,
customer_id number,
date_account_opened time,
account_name text,
other_account_details text
)
CREATE TABLE product_categories (
production_type_code text,
product_type_description text,
vat_rating number
)
CREATE TABLE invoices (
invoice_number number,
order_id number,
invoice_date time
)
CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_middle_initial text,
customer_last_name text,
gender text,
email_address text,
login_name text,
login_password text,
phone_number text,
town_city text,
state_county_province text,
country text
)
CREATE TABLE products (
product_id number,
parent_product_id number,
production_type_code text,
unit_price number,
product_name text,
product_color text,
product_size text
)
CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
)
|
SELECT DISTINCT T1.customer_first_name, T1.customer_last_name, T1.phone_number FROM customers AS T1 JOIN accounts AS T2 ON T1.customer_id = T2.customer_id
|
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 unique first names, last names, and phone numbers for all customers with any account. ### Input: CREATE TABLE invoice_line_items (
order_item_id number,
invoice_number number,
product_id number,
product_title text,
product_quantity text,
product_price number,
derived_product_cost number,
derived_vat_payable number,
derived_total_cost number
)
CREATE TABLE order_items (
order_item_id number,
order_id number,
product_id number,
product_quantity text,
other_order_item_details text
)
CREATE TABLE orders (
order_id number,
customer_id number,
date_order_placed time,
order_details text
)
CREATE TABLE accounts (
account_id number,
customer_id number,
date_account_opened time,
account_name text,
other_account_details text
)
CREATE TABLE product_categories (
production_type_code text,
product_type_description text,
vat_rating number
)
CREATE TABLE invoices (
invoice_number number,
order_id number,
invoice_date time
)
CREATE TABLE customers (
customer_id number,
customer_first_name text,
customer_middle_initial text,
customer_last_name text,
gender text,
email_address text,
login_name text,
login_password text,
phone_number text,
town_city text,
state_county_province text,
country text
)
CREATE TABLE products (
product_id number,
parent_product_id number,
production_type_code text,
unit_price number,
product_name text,
product_color text,
product_size text
)
CREATE TABLE financial_transactions (
transaction_id number,
account_id number,
invoice_number number,
transaction_type text,
transaction_date time,
transaction_amount number,
transaction_comment text,
other_transaction_details text
) ### Response: SELECT DISTINCT T1.customer_first_name, T1.customer_last_name, T1.phone_number FROM customers AS T1 JOIN accounts AS T2 ON T1.customer_id = T2.customer_id
|
how many cities are in the united states ?
|
CREATE TABLE table_204_317 (
id number,
"metropolitan area" text,
"country" text,
"rank" number,
"forstall\n2003 est." number,
"official population" number,
"year" number
)
|
SELECT COUNT("metropolitan area") FROM table_204_317 WHERE "country" = 'united states'
|
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 cities are in the united states ? ### Input: CREATE TABLE table_204_317 (
id number,
"metropolitan area" text,
"country" text,
"rank" number,
"forstall\n2003 est." number,
"official population" number,
"year" number
) ### Response: SELECT COUNT("metropolitan area") FROM table_204_317 WHERE "country" = 'united states'
|
What is the date that a ship sank in the South Atlantic?
|
CREATE TABLE table_68771 (
"Estimate" text,
"Name" text,
"Nat." text,
"Ship type" text,
"Where sunk" text,
"Date" text
)
|
SELECT "Date" FROM table_68771 WHERE "Where sunk" = 'south atlantic'
|
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 date that a ship sank in the South Atlantic? ### Input: CREATE TABLE table_68771 (
"Estimate" text,
"Name" text,
"Nat." text,
"Ship type" text,
"Where sunk" text,
"Date" text
) ### Response: SELECT "Date" FROM table_68771 WHERE "Where sunk" = 'south atlantic'
|
What is the highest pick for a year after 2010, and a round smaller than 1?
|
CREATE TABLE table_60527 (
"Year" real,
"Round" real,
"Pick" real,
"Player" text,
"NBA Club" text
)
|
SELECT MAX("Pick") FROM table_60527 WHERE "Year" > '2010' AND "Round" < '1'
|
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 pick for a year after 2010, and a round smaller than 1? ### Input: CREATE TABLE table_60527 (
"Year" real,
"Round" real,
"Pick" real,
"Player" text,
"NBA Club" text
) ### Response: SELECT MAX("Pick") FROM table_60527 WHERE "Year" > '2010' AND "Round" < '1'
|
What round did the event UFC 86 take place?
|
CREATE TABLE table_name_31 (
round VARCHAR,
event VARCHAR
)
|
SELECT round FROM table_name_31 WHERE event = "ufc 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 round did the event UFC 86 take place? ### Input: CREATE TABLE table_name_31 (
round VARCHAR,
event VARCHAR
) ### Response: SELECT round FROM table_name_31 WHERE event = "ufc 86"
|
who had the nickname robbie ?
|
CREATE TABLE table_203_697 (
id number,
"player" text,
"career" text,
"nickname" text,
"team inducted as" text
)
|
SELECT "player" FROM table_203_697 WHERE "nickname" = '"robbie"'
|
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 had the nickname robbie ? ### Input: CREATE TABLE table_203_697 (
id number,
"player" text,
"career" text,
"nickname" text,
"team inducted as" text
) ### Response: SELECT "player" FROM table_203_697 WHERE "nickname" = '"robbie"'
|
What horse was shown by with Britta N pel and got less than 71.909?
|
CREATE TABLE table_13947 (
"Athlete" text,
"Class" text,
"Horse" text,
"Event" text,
"Result" real
)
|
SELECT "Horse" FROM table_13947 WHERE "Athlete" = 'britta näpel' AND "Result" < '71.909'
|
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 horse was shown by with Britta N pel and got less than 71.909? ### Input: CREATE TABLE table_13947 (
"Athlete" text,
"Class" text,
"Horse" text,
"Event" text,
"Result" real
) ### Response: SELECT "Horse" FROM table_13947 WHERE "Athlete" = 'britta näpel' AND "Result" < '71.909'
|
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, give me the comparison about the sum of department_id over the hire_date bin hire_date by time by a bar chart, and I want to order by the y-axis from low to high.
|
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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 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 HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(DEPARTMENT_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, give me the comparison about the sum of department_id over the hire_date bin hire_date by time by a bar chart, and I want to order by the y-axis from low to high. ### Input: 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 countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
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 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 HIRE_DATE, SUM(DEPARTMENT_ID) FROM employees WHERE SALARY BETWEEN 8000 AND 12000 AND COMMISSION_PCT <> "null" OR DEPARTMENT_ID <> 40 ORDER BY SUM(DEPARTMENT_ID)
|
what is the number of losses they have against france ?
|
CREATE TABLE table_203_378 (
id number,
"against" text,
"played" number,
"won" number,
"drawn" number,
"lost" number,
"win %" text
)
|
SELECT "lost" FROM table_203_378 WHERE "against" = 'france'
|
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: what is the number of losses they have against france ? ### Input: CREATE TABLE table_203_378 (
id number,
"against" text,
"played" number,
"won" number,
"drawn" number,
"lost" number,
"win %" text
) ### Response: SELECT "lost" FROM table_203_378 WHERE "against" = 'france'
|
how many patients whose death status is 0 and procedure long title is fiber-optic bronchoscopy?
|
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 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Fiber-optic bronchoscopy"
|
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: how many patients whose death status is 0 and procedure long title is fiber-optic bronchoscopy? ### 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 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.long_title = "Fiber-optic bronchoscopy"
|
What position has less than 6 Points?
|
CREATE TABLE table_name_63 (
position VARCHAR,
points INTEGER
)
|
SELECT COUNT(position) FROM table_name_63 WHERE points < 6
|
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 position has less than 6 Points? ### Input: CREATE TABLE table_name_63 (
position VARCHAR,
points INTEGER
) ### Response: SELECT COUNT(position) FROM table_name_63 WHERE points < 6
|
What are all the role codes, role names, and role descriptions?
|
CREATE TABLE all_documents (
document_id number,
date_stored time,
document_type_code text,
document_name text,
document_description text,
other_details text
)
CREATE TABLE document_locations (
document_id number,
location_code text,
date_in_location_from time,
date_in_locaton_to time
)
CREATE TABLE ref_document_types (
document_type_code text,
document_type_name text,
document_type_description text
)
CREATE TABLE roles (
role_code text,
role_name text,
role_description text
)
CREATE TABLE ref_locations (
location_code text,
location_name text,
location_description text
)
CREATE TABLE ref_calendar (
calendar_date time,
day_number number
)
CREATE TABLE employees (
employee_id number,
role_code text,
employee_name text,
gender_mfu text,
date_of_birth time,
other_details text
)
CREATE TABLE documents_to_be_destroyed (
document_id number,
destruction_authorised_by_employee_id number,
destroyed_by_employee_id number,
planned_destruction_date time,
actual_destruction_date time,
other_details text
)
|
SELECT role_code, role_name, role_description FROM roles
|
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 all the role codes, role names, and role descriptions? ### Input: CREATE TABLE all_documents (
document_id number,
date_stored time,
document_type_code text,
document_name text,
document_description text,
other_details text
)
CREATE TABLE document_locations (
document_id number,
location_code text,
date_in_location_from time,
date_in_locaton_to time
)
CREATE TABLE ref_document_types (
document_type_code text,
document_type_name text,
document_type_description text
)
CREATE TABLE roles (
role_code text,
role_name text,
role_description text
)
CREATE TABLE ref_locations (
location_code text,
location_name text,
location_description text
)
CREATE TABLE ref_calendar (
calendar_date time,
day_number number
)
CREATE TABLE employees (
employee_id number,
role_code text,
employee_name text,
gender_mfu text,
date_of_birth time,
other_details text
)
CREATE TABLE documents_to_be_destroyed (
document_id number,
destruction_authorised_by_employee_id number,
destroyed_by_employee_id number,
planned_destruction_date time,
actual_destruction_date time,
other_details text
) ### Response: SELECT role_code, role_name, role_description FROM roles
|
What date was a brig type ship located in SW Approaches?
|
CREATE TABLE table_78967 (
"Date" text,
"Ship Name" text,
"Tonnage" text,
"Ship Type" text,
"Location" text,
"Disposition of Ship" text
)
|
SELECT "Date" FROM table_78967 WHERE "Ship Type" = 'brig' AND "Location" = 'sw approaches'
|
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 a brig type ship located in SW Approaches? ### Input: CREATE TABLE table_78967 (
"Date" text,
"Ship Name" text,
"Tonnage" text,
"Ship Type" text,
"Location" text,
"Disposition of Ship" text
) ### Response: SELECT "Date" FROM table_78967 WHERE "Ship Type" = 'brig' AND "Location" = 'sw approaches'
|
Name the school/s with is size of 604.
|
CREATE TABLE table_23354 (
"School" text,
"City / Town" text,
"Website" text,
"Size" real,
"Principal" text,
"Grades" text,
"IDOE Profile" text
)
|
SELECT "School" FROM table_23354 WHERE "Size" = '604'
|
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 school/s with is size of 604. ### Input: CREATE TABLE table_23354 (
"School" text,
"City / Town" text,
"Website" text,
"Size" real,
"Principal" text,
"Grades" text,
"IDOE Profile" text
) ### Response: SELECT "School" FROM table_23354 WHERE "Size" = '604'
|
what's the points with artbeingt being dave appell
|
CREATE TABLE table_18998 (
"Position" real,
"Artist" text,
"Song title" text,
"Highest position" real,
"Points" real
)
|
SELECT "Points" FROM table_18998 WHERE "Artist" = 'Dave Appell'
|
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 points with artbeingt being dave appell ### Input: CREATE TABLE table_18998 (
"Position" real,
"Artist" text,
"Song title" text,
"Highest position" real,
"Points" real
) ### Response: SELECT "Points" FROM table_18998 WHERE "Artist" = 'Dave Appell'
|
What score has tim duncan (27) as the leading scorer?
|
CREATE TABLE table_34461 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Record" text
)
|
SELECT "Score" FROM table_34461 WHERE "Leading scorer" = 'tim duncan (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 score has tim duncan (27) as the leading scorer? ### Input: CREATE TABLE table_34461 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Leading scorer" text,
"Record" text
) ### Response: SELECT "Score" FROM table_34461 WHERE "Leading scorer" = 'tim duncan (27)'
|
how many patients whose admission type is elective and procedure icd9 code is 40?
|
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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "40"
|
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: how many patients whose admission type is elective and procedure icd9 code is 40? ### Input: 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND procedures.icd9_code = "40"
|
Who had the fastest lap when David Coulthard had pole position and Michael Schumacher as a winning driver.
|
CREATE TABLE table_name_32 (
fastest_lap VARCHAR,
pole_position VARCHAR,
winning_driver VARCHAR
)
|
SELECT fastest_lap FROM table_name_32 WHERE pole_position = "david coulthard" AND winning_driver = "michael schumacher"
|
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: Who had the fastest lap when David Coulthard had pole position and Michael Schumacher as a winning driver. ### Input: CREATE TABLE table_name_32 (
fastest_lap VARCHAR,
pole_position VARCHAR,
winning_driver VARCHAR
) ### Response: SELECT fastest_lap FROM table_name_32 WHERE pole_position = "david coulthard" AND winning_driver = "michael schumacher"
|
WHICH Regular Season has a Division of 4?
|
CREATE TABLE table_name_19 (
regular_season VARCHAR,
division VARCHAR
)
|
SELECT regular_season FROM table_name_19 WHERE division = 4
|
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 Regular Season has a Division of 4? ### Input: CREATE TABLE table_name_19 (
regular_season VARCHAR,
division VARCHAR
) ### Response: SELECT regular_season FROM table_name_19 WHERE division = 4
|
Which region had a release format of CD Maxi?
|
CREATE TABLE table_name_8 (
region VARCHAR,
format VARCHAR
)
|
SELECT region FROM table_name_8 WHERE format = "cd maxi"
|
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 region had a release format of CD Maxi? ### Input: CREATE TABLE table_name_8 (
region VARCHAR,
format VARCHAR
) ### Response: SELECT region FROM table_name_8 WHERE format = "cd maxi"
|
what is the number of patients whose diagnoses icd9 code is 412 and lab test fluid is blood?
|
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 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
)
|
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 = "412" 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 number of patients whose diagnoses icd9 code is 412 and lab test fluid is blood? ### 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 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
) ### 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 = "412" AND lab.fluid = "Blood"
|
Who was the rider with more than 5 laps on a grid bigger than 29 on a Honda CBR600RR and time at +1:27.385?
|
CREATE TABLE table_41269 (
"Rider" text,
"Bike" text,
"Laps" real,
"Time" text,
"Grid" real
)
|
SELECT "Rider" FROM table_41269 WHERE "Laps" > '5' AND "Grid" > '29' AND "Bike" = 'honda cbr600rr' AND "Time" = '+1:27.385'
|
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 rider with more than 5 laps on a grid bigger than 29 on a Honda CBR600RR and time at +1:27.385? ### Input: CREATE TABLE table_41269 (
"Rider" text,
"Bike" text,
"Laps" real,
"Time" text,
"Grid" real
) ### Response: SELECT "Rider" FROM table_41269 WHERE "Laps" > '5' AND "Grid" > '29' AND "Bike" = 'honda cbr600rr' AND "Time" = '+1:27.385'
|
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.
|
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
|
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. ### 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
|
getting all of the R questions.
|
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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 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 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId 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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
)
|
SELECT YEAR(Posts.CreationDate) AS the_year, Posts.Id FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('r')
|
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: getting all of the R questions. ### Input: 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 PostTypes (
Id number,
Name text
)
CREATE TABLE ReviewTaskStates (
Id number,
Name text,
Description text
)
CREATE TABLE PostHistoryTypes (
Id number,
Name text
)
CREATE TABLE FlagTypes (
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 Tags (
Id number,
TagName text,
Count number,
ExcerptPostId number,
WikiPostId number
)
CREATE TABLE PostLinks (
Id number,
CreationDate time,
PostId number,
RelatedPostId number,
LinkTypeId number
)
CREATE TABLE VoteTypes (
Id number,
Name text
)
CREATE TABLE CloseReasonTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNotices (
Id number,
PostId number,
PostNoticeTypeId number,
CreationDate time,
DeletionDate time,
ExpiryDate time,
Body text,
OwnerUserId number,
DeletionUserId number
)
CREATE TABLE ReviewTaskResults (
Id number,
ReviewTaskId number,
ReviewTaskResultTypeId number,
CreationDate time,
RejectionReasonId number,
Comment text
)
CREATE TABLE ReviewTaskTypes (
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 Votes (
Id number,
PostId number,
VoteTypeId number,
UserId number,
CreationDate time,
BountyAmount number
)
CREATE TABLE ReviewTaskResultTypes (
Id number,
Name text,
Description text
)
CREATE TABLE PostNoticeTypes (
Id number,
ClassId number,
Name text,
Body text,
IsHidden boolean,
Predefined boolean,
PostNoticeDurationId 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 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 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 PendingFlags (
Id number,
FlagTypeId number,
PostId number,
CreationDate time,
CloseReasonTypeId number,
CloseAsOffTopicReasonTypeId number,
DuplicateOfQuestionId number,
BelongsOnBaseHostAddress text
)
CREATE TABLE SuggestedEditVotes (
Id number,
SuggestedEditId number,
UserId number,
VoteTypeId number,
CreationDate time,
TargetUserId number,
TargetRepChange number
)
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 ReviewRejectionReasons (
Id number,
Name text,
Description text,
PostTypeId 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 ReviewTasks (
Id number,
ReviewTaskTypeId number,
CreationDate time,
DeletionDate time,
ReviewTaskStateId number,
PostId number,
SuggestedEditId number,
CompletedByReviewTaskId number
) ### Response: SELECT YEAR(Posts.CreationDate) AS the_year, Posts.Id FROM Tags LEFT JOIN PostTags ON PostTags.TagId = Tags.Id LEFT JOIN Posts ON Posts.Id = PostTags.PostId LEFT JOIN PostTypes ON PostTypes.Id = Posts.PostTypeId WHERE Tags.TagName IN ('r')
|
What location did game 64 take place
|
CREATE TABLE table_6422 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Record" text
)
|
SELECT "Location" FROM table_6422 WHERE "Game" = '64'
|
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 location did game 64 take place ### Input: CREATE TABLE table_6422 (
"Game" real,
"Date" text,
"Opponent" text,
"Score" text,
"Location" text,
"Record" text
) ### Response: SELECT "Location" FROM table_6422 WHERE "Game" = '64'
|
What is the total number of live births in 2006 with 98.40% of the population as Whites and has more than 2 for the TFR?
|
CREATE TABLE table_70052 (
"County" text,
"Live births 2006" real,
"GFR 2006" real,
"TFR 2006" real,
"Whites as % of Pop." text
)
|
SELECT SUM("Live births 2006") FROM table_70052 WHERE "Whites as % of Pop." = '98.40%' AND "TFR 2006" > '2'
|
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 total number of live births in 2006 with 98.40% of the population as Whites and has more than 2 for the TFR? ### Input: CREATE TABLE table_70052 (
"County" text,
"Live births 2006" real,
"GFR 2006" real,
"TFR 2006" real,
"Whites as % of Pop." text
) ### Response: SELECT SUM("Live births 2006") FROM table_70052 WHERE "Whites as % of Pop." = '98.40%' AND "TFR 2006" > '2'
|
What is the Format of the Label with Catalog SBP 234999?
|
CREATE TABLE table_name_23 (
format VARCHAR,
catalog VARCHAR
)
|
SELECT format FROM table_name_23 WHERE catalog = "sbp 234999"
|
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 Format of the Label with Catalog SBP 234999? ### Input: CREATE TABLE table_name_23 (
format VARCHAR,
catalog VARCHAR
) ### Response: SELECT format FROM table_name_23 WHERE catalog = "sbp 234999"
|
What is the lowest score of the team with 19 points and less than 18 played?
|
CREATE TABLE table_name_82 (
scored INTEGER,
points VARCHAR,
played VARCHAR
)
|
SELECT MIN(scored) FROM table_name_82 WHERE points = 19 AND played < 18
|
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 lowest score of the team with 19 points and less than 18 played? ### Input: CREATE TABLE table_name_82 (
scored INTEGER,
points VARCHAR,
played VARCHAR
) ### Response: SELECT MIN(scored) FROM table_name_82 WHERE points = 19 AND played < 18
|
How many tournament wins were at Volvo Masters Andalucia?
|
CREATE TABLE table_1615980_4 (
no VARCHAR,
tournament VARCHAR
)
|
SELECT COUNT(no) FROM table_1615980_4 WHERE tournament = "Volvo Masters Andalucia"
|
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 tournament wins were at Volvo Masters Andalucia? ### Input: CREATE TABLE table_1615980_4 (
no VARCHAR,
tournament VARCHAR
) ### Response: SELECT COUNT(no) FROM table_1615980_4 WHERE tournament = "Volvo Masters Andalucia"
|
What is the class of the locomotive with a wheel arrangement of 4-6-0 and a quantity made of 14?
|
CREATE TABLE table_54950 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text,
"Year(s) withdrawn" text
)
|
SELECT "Class" FROM table_54950 WHERE "Wheel arrangement" = '4-6-0' AND "Quantity made" = '14'
|
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 class of the locomotive with a wheel arrangement of 4-6-0 and a quantity made of 14? ### Input: CREATE TABLE table_54950 (
"Class" text,
"Wheel arrangement" text,
"Fleet number(s)" text,
"Manufacturer" text,
"Year made" text,
"Quantity made" text,
"Quantity preserved" text,
"Year(s) withdrawn" text
) ### Response: SELECT "Class" FROM table_54950 WHERE "Wheel arrangement" = '4-6-0' AND "Quantity made" = '14'
|
What date did the T328 that entered service on 18 June 1956 re-enter service?
|
CREATE TABLE table_34837 (
"Locomotive" text,
"Pre-conversion" text,
"Entered service (T)" text,
"Re-entered service (P)" text,
"Owner" text
)
|
SELECT "Re-entered service (P)" FROM table_34837 WHERE "Entered service (T)" = '18 june 1956' AND "Pre-conversion" = 't328'
|
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 did the T328 that entered service on 18 June 1956 re-enter service? ### Input: CREATE TABLE table_34837 (
"Locomotive" text,
"Pre-conversion" text,
"Entered service (T)" text,
"Re-entered service (P)" text,
"Owner" text
) ### Response: SELECT "Re-entered service (P)" FROM table_34837 WHERE "Entered service (T)" = '18 june 1956' AND "Pre-conversion" = 't328'
|
If the location is Chicago, Illinois, what is the airport name?
|
CREATE TABLE table_18047346_4 (
airport_name VARCHAR,
location VARCHAR
)
|
SELECT airport_name FROM table_18047346_4 WHERE location = "Chicago, Illinois"
|
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 location is Chicago, Illinois, what is the airport name? ### Input: CREATE TABLE table_18047346_4 (
airport_name VARCHAR,
location VARCHAR
) ### Response: SELECT airport_name FROM table_18047346_4 WHERE location = "Chicago, Illinois"
|
How many papers by Luke Zettlemoyer contain the keyphrases Learning Algorithm ?
|
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
|
SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, keyphrase, paperkeyphrase, writes WHERE author.authorname = 'Luke Zettlemoyer' AND keyphrase.keyphrasename = 'Learning Algorithm' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid
|
scholar
|
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 papers by Luke Zettlemoyer contain the keyphrases Learning Algorithm ? ### Input: CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
) ### Response: SELECT DISTINCT COUNT(DISTINCT writes.paperid) FROM author, keyphrase, paperkeyphrase, writes WHERE author.authorname = 'Luke Zettlemoyer' AND keyphrase.keyphrasename = 'Learning Algorithm' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND writes.authorid = author.authorid AND writes.paperid = paperkeyphrase.paperid
|
What is the team with the name Boumediene Abderahmane?
|
CREATE TABLE table_8446 (
"Name" text,
"Country" text,
"Role" text,
"Period" text,
"Teams" text
)
|
SELECT "Teams" FROM table_8446 WHERE "Name" = 'boumediene abderahmane'
|
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 team with the name Boumediene Abderahmane? ### Input: CREATE TABLE table_8446 (
"Name" text,
"Country" text,
"Role" text,
"Period" text,
"Teams" text
) ### Response: SELECT "Teams" FROM table_8446 WHERE "Name" = 'boumediene abderahmane'
|
what is the maximum sao2 of patient 025-35599?
|
CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
)
|
SELECT MAX(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-35599')) AND NOT vitalperiodic.sao2 IS NULL
|
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: what is the maximum sao2 of patient 025-35599? ### Input: CREATE TABLE medication (
medicationid number,
patientunitstayid number,
drugname text,
dosage text,
routeadmin text,
drugstarttime time,
drugstoptime 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 intakeoutput (
intakeoutputid number,
patientunitstayid number,
cellpath text,
celllabel text,
cellvaluenumeric number,
intakeoutputtime time
)
CREATE TABLE cost (
costid number,
uniquepid text,
patienthealthsystemstayid number,
eventtype text,
eventid number,
chargetime time,
cost number
)
CREATE TABLE vitalperiodic (
vitalperiodicid number,
patientunitstayid number,
temperature number,
sao2 number,
heartrate number,
respiration number,
systemicsystolic number,
systemicdiastolic number,
systemicmean number,
observationtime time
)
CREATE TABLE lab (
labid number,
patientunitstayid number,
labname text,
labresult number,
labresulttime 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 allergy (
allergyid number,
patientunitstayid number,
drugname text,
allergyname text,
allergytime time
)
CREATE TABLE diagnosis (
diagnosisid number,
patientunitstayid number,
diagnosisname text,
diagnosistime time,
icd9code text
) ### Response: SELECT MAX(vitalperiodic.sao2) FROM vitalperiodic WHERE vitalperiodic.patientunitstayid IN (SELECT patient.patientunitstayid FROM patient WHERE patient.patienthealthsystemstayid IN (SELECT patient.patienthealthsystemstayid FROM patient WHERE patient.uniquepid = '025-35599')) AND NOT vitalperiodic.sao2 IS NULL
|
What is the total number on roll for Shelly Park school?
|
CREATE TABLE table_name_7 (
roll VARCHAR,
name VARCHAR
)
|
SELECT COUNT(roll) FROM table_name_7 WHERE name = "shelly park school"
|
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 total number on roll for Shelly Park school? ### Input: CREATE TABLE table_name_7 (
roll VARCHAR,
name VARCHAR
) ### Response: SELECT COUNT(roll) FROM table_name_7 WHERE name = "shelly park school"
|
Tell me the shuttle run with grade c
|
CREATE TABLE table_name_36 (
shuttle_run__sec_ VARCHAR,
grade VARCHAR
)
|
SELECT shuttle_run__sec_ FROM table_name_36 WHERE grade = "c"
|
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: Tell me the shuttle run with grade c ### Input: CREATE TABLE table_name_36 (
shuttle_run__sec_ VARCHAR,
grade VARCHAR
) ### Response: SELECT shuttle_run__sec_ FROM table_name_36 WHERE grade = "c"
|
How many races are held in each year after 2014? Show me a bar chart, rank total number in desc order please.
|
CREATE TABLE races (
raceId INTEGER,
year INTEGER,
round INTEGER,
circuitId INTEGER,
name TEXT,
date TEXT,
time TEXT,
url TEXT
)
CREATE TABLE drivers (
driverId INTEGER,
driverRef TEXT,
number TEXT,
code TEXT,
forename TEXT,
surname TEXT,
dob TEXT,
nationality TEXT,
url TEXT
)
CREATE TABLE status (
statusId INTEGER,
status TEXT
)
CREATE TABLE constructorStandings (
constructorStandingsId INTEGER,
raceId INTEGER,
constructorId INTEGER,
points REAL,
position INTEGER,
positionText TEXT,
wins INTEGER
)
CREATE TABLE constructorResults (
constructorResultsId INTEGER,
raceId INTEGER,
constructorId INTEGER,
points REAL,
status TEXT
)
CREATE TABLE qualifying (
qualifyId INTEGER,
raceId INTEGER,
driverId INTEGER,
constructorId INTEGER,
number INTEGER,
position INTEGER,
q1 TEXT,
q2 TEXT,
q3 TEXT
)
CREATE TABLE results (
resultId INTEGER,
raceId INTEGER,
driverId INTEGER,
constructorId INTEGER,
number INTEGER,
grid INTEGER,
position TEXT,
positionText TEXT,
positionOrder INTEGER,
points REAL,
laps TEXT,
time TEXT,
milliseconds TEXT,
fastestLap TEXT,
rank TEXT,
fastestLapTime TEXT,
fastestLapSpeed TEXT,
statusId INTEGER
)
CREATE TABLE pitStops (
raceId INTEGER,
driverId INTEGER,
stop INTEGER,
lap INTEGER,
time TEXT,
duration TEXT,
milliseconds INTEGER
)
CREATE TABLE lapTimes (
raceId INTEGER,
driverId INTEGER,
lap INTEGER,
position INTEGER,
time TEXT,
milliseconds INTEGER
)
CREATE TABLE driverStandings (
driverStandingsId INTEGER,
raceId INTEGER,
driverId INTEGER,
points REAL,
position INTEGER,
positionText TEXT,
wins INTEGER
)
CREATE TABLE seasons (
year INTEGER,
url TEXT
)
CREATE TABLE constructors (
constructorId INTEGER,
constructorRef TEXT,
name TEXT,
nationality TEXT,
url TEXT
)
CREATE TABLE circuits (
circuitId INTEGER,
circuitRef TEXT,
name TEXT,
location TEXT,
country TEXT,
lat REAL,
lng REAL,
alt TEXT,
url TEXT
)
|
SELECT year, COUNT(year) FROM races AS T1 JOIN results AS T2 ON T1.raceId = T2.raceId WHERE T1.year > 2014 GROUP BY year ORDER BY COUNT(year) 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 races are held in each year after 2014? Show me a bar chart, rank total number in desc order please. ### Input: CREATE TABLE races (
raceId INTEGER,
year INTEGER,
round INTEGER,
circuitId INTEGER,
name TEXT,
date TEXT,
time TEXT,
url TEXT
)
CREATE TABLE drivers (
driverId INTEGER,
driverRef TEXT,
number TEXT,
code TEXT,
forename TEXT,
surname TEXT,
dob TEXT,
nationality TEXT,
url TEXT
)
CREATE TABLE status (
statusId INTEGER,
status TEXT
)
CREATE TABLE constructorStandings (
constructorStandingsId INTEGER,
raceId INTEGER,
constructorId INTEGER,
points REAL,
position INTEGER,
positionText TEXT,
wins INTEGER
)
CREATE TABLE constructorResults (
constructorResultsId INTEGER,
raceId INTEGER,
constructorId INTEGER,
points REAL,
status TEXT
)
CREATE TABLE qualifying (
qualifyId INTEGER,
raceId INTEGER,
driverId INTEGER,
constructorId INTEGER,
number INTEGER,
position INTEGER,
q1 TEXT,
q2 TEXT,
q3 TEXT
)
CREATE TABLE results (
resultId INTEGER,
raceId INTEGER,
driverId INTEGER,
constructorId INTEGER,
number INTEGER,
grid INTEGER,
position TEXT,
positionText TEXT,
positionOrder INTEGER,
points REAL,
laps TEXT,
time TEXT,
milliseconds TEXT,
fastestLap TEXT,
rank TEXT,
fastestLapTime TEXT,
fastestLapSpeed TEXT,
statusId INTEGER
)
CREATE TABLE pitStops (
raceId INTEGER,
driverId INTEGER,
stop INTEGER,
lap INTEGER,
time TEXT,
duration TEXT,
milliseconds INTEGER
)
CREATE TABLE lapTimes (
raceId INTEGER,
driverId INTEGER,
lap INTEGER,
position INTEGER,
time TEXT,
milliseconds INTEGER
)
CREATE TABLE driverStandings (
driverStandingsId INTEGER,
raceId INTEGER,
driverId INTEGER,
points REAL,
position INTEGER,
positionText TEXT,
wins INTEGER
)
CREATE TABLE seasons (
year INTEGER,
url TEXT
)
CREATE TABLE constructors (
constructorId INTEGER,
constructorRef TEXT,
name TEXT,
nationality TEXT,
url TEXT
)
CREATE TABLE circuits (
circuitId INTEGER,
circuitRef TEXT,
name TEXT,
location TEXT,
country TEXT,
lat REAL,
lng REAL,
alt TEXT,
url TEXT
) ### Response: SELECT year, COUNT(year) FROM races AS T1 JOIN results AS T2 ON T1.raceId = T2.raceId WHERE T1.year > 2014 GROUP BY year ORDER BY COUNT(year) DESC
|
What is the total number of points for entrants with a Jordan 192 chassis?
|
CREATE TABLE table_67802 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Pts." real
)
|
SELECT SUM("Pts.") FROM table_67802 WHERE "Chassis" = 'jordan 192'
|
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 total number of points for entrants with a Jordan 192 chassis? ### Input: CREATE TABLE table_67802 (
"Year" real,
"Entrant" text,
"Chassis" text,
"Engine" text,
"Pts." real
) ### Response: SELECT SUM("Pts.") FROM table_67802 WHERE "Chassis" = 'jordan 192'
|
Show different publishers together with the number of publications they have.
|
CREATE TABLE publication (
publication_id number,
book_id number,
publisher text,
publication_date text,
price number
)
CREATE TABLE book (
book_id number,
title text,
issues number,
writer text
)
|
SELECT publisher, COUNT(*) FROM publication GROUP BY publisher
|
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 different publishers together with the number of publications they have. ### Input: CREATE TABLE publication (
publication_id number,
book_id number,
publisher text,
publication_date text,
price number
)
CREATE TABLE book (
book_id number,
title text,
issues number,
writer text
) ### Response: SELECT publisher, COUNT(*) FROM publication GROUP BY publisher
|
Show the average of population from each status, and rank by the Y in descending.
|
CREATE TABLE farm_competition (
Competition_ID int,
Year int,
Theme text,
Host_city_ID int,
Hosts text
)
CREATE TABLE competition_record (
Competition_ID int,
Farm_ID int,
Rank int
)
CREATE TABLE farm (
Farm_ID int,
Year int,
Total_Horses real,
Working_Horses real,
Total_Cattle real,
Oxen real,
Bulls real,
Cows real,
Pigs real,
Sheep_and_Goats real
)
CREATE TABLE city (
City_ID int,
Official_Name text,
Status text,
Area_km_2 real,
Population real,
Census_Ranking text
)
|
SELECT Status, AVG(Population) FROM city GROUP BY Status ORDER BY AVG(Population) 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 average of population from each status, and rank by the Y in descending. ### Input: CREATE TABLE farm_competition (
Competition_ID int,
Year int,
Theme text,
Host_city_ID int,
Hosts text
)
CREATE TABLE competition_record (
Competition_ID int,
Farm_ID int,
Rank int
)
CREATE TABLE farm (
Farm_ID int,
Year int,
Total_Horses real,
Working_Horses real,
Total_Cattle real,
Oxen real,
Bulls real,
Cows real,
Pigs real,
Sheep_and_Goats real
)
CREATE TABLE city (
City_ID int,
Official_Name text,
Status text,
Area_km_2 real,
Population real,
Census_Ranking text
) ### Response: SELECT Status, AVG(Population) FROM city GROUP BY Status ORDER BY AVG(Population) DESC
|
how many terms did a republican serve before watkins term ?
|
CREATE TABLE table_203_16 (
id number,
"name" text,
"took office" text,
"left office" text,
"party" text,
"district residence" text,
"notes" text
)
|
SELECT COUNT(*) FROM table_203_16 WHERE "party" = 'republican' AND id < (SELECT id FROM table_203_16 WHERE "name" = 'wes watkins')
|
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 terms did a republican serve before watkins term ? ### Input: CREATE TABLE table_203_16 (
id number,
"name" text,
"took office" text,
"left office" text,
"party" text,
"district residence" text,
"notes" text
) ### Response: SELECT COUNT(*) FROM table_203_16 WHERE "party" = 'republican' AND id < (SELECT id FROM table_203_16 WHERE "name" = 'wes watkins')
|
What was the result in the year greaters than 2008 with an award of Jahat and had a category of Stacy?
|
CREATE TABLE table_name_51 (
result VARCHAR,
awards VARCHAR,
category VARCHAR,
year VARCHAR
)
|
SELECT result FROM table_name_51 WHERE category = "stacy" AND year > 2008 AND awards = "jahat"
|
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 result in the year greaters than 2008 with an award of Jahat and had a category of Stacy? ### Input: CREATE TABLE table_name_51 (
result VARCHAR,
awards VARCHAR,
category VARCHAR,
year VARCHAR
) ### Response: SELECT result FROM table_name_51 WHERE category = "stacy" AND year > 2008 AND awards = "jahat"
|
Which venue has an Away team score of 17.14 (116)?
|
CREATE TABLE table_58408 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
)
|
SELECT "Venue" FROM table_58408 WHERE "Away team score" = '17.14 (116)'
|
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 venue has an Away team score of 17.14 (116)? ### Input: CREATE TABLE table_58408 (
"Home team" text,
"Home team score" text,
"Away team" text,
"Away team score" text,
"Venue" text,
"Crowd" real,
"Date" text
) ### Response: SELECT "Venue" FROM table_58408 WHERE "Away team score" = '17.14 (116)'
|
A bar chart shows the distribution of Nationality and the average of ID , and group by attribute Nationality, and could you sort from low to high by the X-axis?
|
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
|
SELECT Nationality, AVG(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality
|
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: A bar chart shows the distribution of Nationality and the average of ID , and group by attribute Nationality, and could you sort from low to high by the X-axis? ### Input: CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
)
CREATE TABLE record (
ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
) ### Response: SELECT Nationality, AVG(ID) FROM swimmer GROUP BY Nationality ORDER BY Nationality
|
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