NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which start station had the most trips starting from August? Give me the name and id of the station.
|
CREATE TABLE status (
station_id number,
bikes_available number,
docks_available number,
time text
)
CREATE TABLE station (
id number,
name text,
lat number,
long number,
dock_count number,
city text,
installation_date text
)
CREATE TABLE trip (
id number,
duration number,
start_date text,
start_station_name text,
start_station_id number,
end_date text,
end_station_name text,
end_station_id number,
bike_id number,
subscription_type text,
zip_code number
)
CREATE TABLE weather (
date text,
max_temperature_f number,
mean_temperature_f number,
min_temperature_f number,
max_dew_point_f number,
mean_dew_point_f number,
min_dew_point_f number,
max_humidity number,
mean_humidity number,
min_humidity number,
max_sea_level_pressure_inches number,
mean_sea_level_pressure_inches number,
min_sea_level_pressure_inches number,
max_visibility_miles number,
mean_visibility_miles number,
min_visibility_miles number,
max_wind_speed_mph number,
mean_wind_speed_mph number,
max_gust_speed_mph number,
precipitation_inches number,
cloud_cover number,
events text,
wind_dir_degrees number,
zip_code number
)
|
SELECT start_station_name, start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1
|
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Name the most game
|
CREATE TABLE table_21091157_1 (
game INTEGER
)
|
SELECT MAX(game) FROM table_21091157_1
|
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A bar chart about how many captains are in each rank?, and rank in desc by the the total number please.
|
CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
)
CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
)
|
SELECT Rank, COUNT(*) FROM captain GROUP BY Rank ORDER BY COUNT(*) DESC
|
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] |
What is the Team for Stanford College?
|
CREATE TABLE table_66489 (
"Pick" real,
"Team" text,
"Player" text,
"Position" text,
"College" text
)
|
SELECT "Team" FROM table_66489 WHERE "College" = 'stanford'
|
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|
CREATE TABLE pilot (Name VARCHAR, Age VARCHAR)
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SELECT Name FROM pilot ORDER BY Age DESC
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What are the names and parties of representatives?
|
CREATE TABLE representative (Name VARCHAR, Party VARCHAR)
|
SELECT Name, Party FROM representative
|
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What is the league of player ian schultz?
|
CREATE TABLE table_name_7 (
league VARCHAR,
player VARCHAR
)
|
SELECT league FROM table_name_7 WHERE player = "ian schultz"
|
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Who are all high points in game 14?
|
CREATE TABLE table_23248940_6 (
high_points VARCHAR,
game VARCHAR
)
|
SELECT high_points FROM table_23248940_6 WHERE game = 14
|
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What is the time for the bike (40km) when the swim (1.5km) is 19:56?
|
CREATE TABLE table_48281 (
"Athlete" text,
"Event" text,
"Swim (1.5km)" text,
"Trans 1" text,
"Bike (40km)" text,
"Trans 2" text,
"Run (10km)" text,
"Total Time" text,
"Rank" real
)
|
SELECT "Bike (40km)" FROM table_48281 WHERE "Swim (1.5km)" = '19:56'
|
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How many Bangladeshi citizens are there in the borough ranked at number 7?
|
CREATE TABLE table_19149550_9 (
bangladeshi_population INTEGER,
rank VARCHAR
)
|
SELECT MIN(bangladeshi_population) FROM table_19149550_9 WHERE rank = 7
|
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What was the city where Hallescher FC won in 2008?
|
CREATE TABLE table_name_74 (city VARCHAR, winner VARCHAR, year VARCHAR)
|
SELECT city FROM table_name_74 WHERE winner = "hallescher fc" AND year = 2008
|
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What is the venue in 2011, when the state is California?
|
CREATE TABLE table_name_5 (
venue VARCHAR,
state VARCHAR,
year VARCHAR
)
|
SELECT venue FROM table_name_5 WHERE state = "california" AND year = 2011
|
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What is Manufacturer, when Finish is greater than 29, when Start is less than 23, and when Year is "1973"?
|
CREATE TABLE table_name_97 (manufacturer VARCHAR, year VARCHAR, finish VARCHAR, start VARCHAR)
|
SELECT manufacturer FROM table_name_97 WHERE finish > 29 AND start < 23 AND year = 1973
|
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Which Melbourne has an Auckland of no, and a Gold Coast of no?
|
CREATE TABLE table_name_14 (melbourne VARCHAR, auckland VARCHAR, gold_coast VARCHAR)
|
SELECT melbourne FROM table_name_14 WHERE auckland = "no" AND gold_coast = "no"
|
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For those employees who do not work in departments with managers that have ids between 100 and 200, give me the comparison about the sum of employee_id over the hire_date bin hire_date by time by a bar chart.
|
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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 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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200)
|
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What is the Year born (Age) for the player who plays Position C for the Alba Berlin club?
|
CREATE TABLE table_12122 (
"Player" text,
"Height" real,
"Position" text,
"Year born (Age)" text,
"Current Club" text
)
|
SELECT "Year born (Age)" FROM table_12122 WHERE "Current Club" = 'alba berlin' AND "Position" = 'c'
|
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What was the attendance at the game when the record was 49-61?
|
CREATE TABLE table_name_14 (
attendance VARCHAR,
record VARCHAR
)
|
SELECT attendance FROM table_name_14 WHERE record = "49-61"
|
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Show all party names and the number of members in each party.
|
CREATE TABLE party (
party_name VARCHAR,
party_id VARCHAR
)
CREATE TABLE Member (
party_id VARCHAR
)
|
SELECT T2.party_name, COUNT(*) FROM Member AS T1 JOIN party AS T2 ON T1.party_id = T2.party_id GROUP BY T1.party_id
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what is the surface for the week of october 25?
|
CREATE TABLE table_name_51 (surface VARCHAR, week VARCHAR)
|
SELECT surface FROM table_name_51 WHERE week = "october 25"
|
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What is the fewest bronze medals when the total medals is less than 10, and the gold medals less than 0?
|
CREATE TABLE table_name_16 (bronze INTEGER, total VARCHAR, gold VARCHAR)
|
SELECT MIN(bronze) FROM table_name_16 WHERE total < 10 AND gold < 0
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
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-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Find the total revenue of companies whose revenue is larger than the revenue of some companies based in Austin.
|
CREATE TABLE manufacturers (
code number,
name text,
headquarter text,
founder text,
revenue number
)
CREATE TABLE products (
code number,
name text,
price number,
manufacturer number
)
|
SELECT SUM(revenue) FROM manufacturers WHERE revenue > (SELECT MIN(revenue) FROM manufacturers WHERE headquarter = 'Austin')
|
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32102,
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4386,
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] |
[
3,
23143,
14196,
180,
6122,
599,
60,
15098,
61,
21680,
5360,
549,
17444,
427,
3751,
2490,
41,
23143,
14196,
3,
17684,
599,
60,
15098,
61,
21680,
5360,
549,
17444,
427,
819,
19973,
3274,
3,
31,
14934,
17,
77,
31,
61,
1,
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] |
how many people live in beatrix mine ?
|
CREATE TABLE table_204_64 (
id number,
"place" text,
"code" number,
"area (km2)" number,
"population" number,
"most spoken language" text
)
|
SELECT "population" FROM table_204_64 WHERE "place" = 'beatrix mine'
|
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What is the total number of rounds that Joe Barnes was picked?
|
CREATE TABLE table_name_34 (round VARCHAR, player VARCHAR)
|
SELECT COUNT(round) FROM table_name_34 WHERE player = "joe barnes"
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report the number of patients with the diagnoses of pure hyperglyceridemia who are younger than 30 years of age.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "30" AND diagnoses.long_title = "Pure hyperglyceridemia"
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In how many rounds was Race 17?
|
CREATE TABLE table_73937 (
"Round" real,
"Race" real,
"Circuit" text,
"Date" text,
"Pole Position" text,
"Fastest Lap" text,
"Winning driver" text,
"Winning team" text
)
|
SELECT COUNT("Round") FROM table_73937 WHERE "Race" = '17'
|
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What is the current situation of the nuclear power plant in the United States with the maximum capacity?
|
CREATE TABLE nuclear_power_plants (
id text,
name text,
latitude text,
longitude text,
country text,
status text,
reactortype text,
reactormodel text,
constructionstartat text,
operationalfrom text,
operationalto text,
capacity text,
lastupdatedat text,
source text
)
|
SELECT status FROM nuclear_power_plants WHERE country = "United States" ORDER BY capacity DESC LIMIT 1
|
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How many races are in College Station, Texas and won by Johnny Rutherford?
|
CREATE TABLE table_22673872_1 (race_name VARCHAR, location VARCHAR, winning_driver VARCHAR)
|
SELECT COUNT(race_name) FROM table_22673872_1 WHERE location = "College Station, Texas" AND winning_driver = "Johnny Rutherford"
|
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Name the week 3 with week 6 of 31+40=71
|
CREATE TABLE table_75059 (
"Team" text,
"Week 1" text,
"Week 2" text,
"Week 3" text,
"Week 4" text,
"Week 5" text,
"Week 6" text,
"Week 7" text,
"Week 8 Final" text
)
|
SELECT "Week 3" FROM table_75059 WHERE "Week 6" = '31+40=71'
|
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What was the Home team when Farnborough Town was the Away team?
|
CREATE TABLE table_name_90 (
home_team VARCHAR,
away_team VARCHAR
)
|
SELECT home_team FROM table_name_90 WHERE away_team = "farnborough town"
|
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What is the total game number with athlone town as the opponent?
|
CREATE TABLE table_76496 (
"Game" real,
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" text
)
|
SELECT COUNT("Game") FROM table_76496 WHERE "Opponent" = 'athlone town'
|
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Which Date has a Length of feet 9inches (m), and a Builder of portland terminal company?
|
CREATE TABLE table_name_3 (date INTEGER, length VARCHAR, builder VARCHAR)
|
SELECT AVG(date) FROM table_name_3 WHERE length = "feet 9inches (m)" AND builder = "portland terminal company"
|
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Who remixed the version with a length of 4:22?
|
CREATE TABLE table_name_67 (remixed_by VARCHAR, length VARCHAR)
|
SELECT remixed_by FROM table_name_67 WHERE length = "4:22"
|
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How many Silver medals for the Nation of Turkey with a Total of less than 2?
|
CREATE TABLE table_name_9 (silver INTEGER, nation VARCHAR, total VARCHAR)
|
SELECT SUM(silver) FROM table_name_9 WHERE nation = "turkey" AND total < 2
|
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How many seasons did coach steve fisher have?
|
CREATE TABLE table_name_5 (season VARCHAR, coach VARCHAR)
|
SELECT COUNT(season) FROM table_name_5 WHERE coach = "steve fisher"
|
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What is the Name of the person with a Total of 3 (15), and Rank of more than 3?
|
CREATE TABLE table_name_87 (name VARCHAR, total VARCHAR, rank VARCHAR)
|
SELECT name FROM table_name_87 WHERE total = "3 (15)" AND rank > 3
|
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What is the 1st prize of the tournament in Scotland?
|
CREATE TABLE table_34700 (
"Date" text,
"Tournament" text,
"Location" text,
"Winner" text,
"Score" text,
"1st prize ( $ )" text
)
|
SELECT "1st prize ( $ )" FROM table_34700 WHERE "Location" = 'scotland'
|
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Give me the comparison about ACC_Percent over the ACC_Regular_Season by a bar chart, I want to rank X-axis from low to high order.
|
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
|
SELECT ACC_Regular_Season, ACC_Percent FROM basketball_match ORDER BY ACC_Regular_Season
|
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What is the Date with an Opponent that is hearts?
|
CREATE TABLE table_7186 (
"Date" text,
"Opponent" text,
"Venue" text,
"Result" text,
"Attendance" real
)
|
SELECT "Date" FROM table_7186 WHERE "Opponent" = 'hearts'
|
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WHAT IS THE HIGHEST POINTS FOR LOS ANGELES?
|
CREATE TABLE table_name_89 (
high_points VARCHAR,
opponent VARCHAR
)
|
SELECT high_points FROM table_name_89 WHERE opponent = "los angeles"
|
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Opponent of @ blue jays, and a Loss of lyon (5-4) had what opponent?
|
CREATE TABLE table_name_60 (record VARCHAR, opponent VARCHAR, loss VARCHAR)
|
SELECT record FROM table_name_60 WHERE opponent = "@ blue jays" AND loss = "lyon (5-4)"
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-100,
-100,
-100,
-100,
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-100,
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] |
how many patients whose lab test fluid is other body fluid were diagnosed under icd9 code 42831?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
|
SELECT 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 = "42831" AND lab.fluid = "Other Body Fluid"
|
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how many wins did confey have ?
|
CREATE TABLE table_204_772 (
id number,
"team" text,
"county" text,
"wins" number,
"years won" number
)
|
SELECT COUNT(*) FROM table_204_772 WHERE "team" = 'confey'
|
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what is the number of patients whose diagnoses short title is cor ath unsp vsl ntv/gft and drug route is sl?
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Cor ath unsp vsl ntv/gft" AND prescriptions.route = "SL"
|
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Who publishes Wolverine?
|
CREATE TABLE table_name_67 (
publisher VARCHAR,
character_s_ VARCHAR
)
|
SELECT publisher FROM table_name_67 WHERE character_s_ = "wolverine"
|
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How many laps did Innes Ireland make when he had a grid more than 15?
|
CREATE TABLE table_name_60 (
laps VARCHAR,
grid VARCHAR,
driver VARCHAR
)
|
SELECT laps FROM table_name_60 WHERE grid > 15 AND driver = "innes ireland"
|
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For those records from the products and each product's manufacturer, visualize a bar chart about the distribution of name and the average of price , and group by attribute name, and display x-axis from low to high order.
|
CREATE TABLE Products (
Code INTEGER,
Name VARCHAR(255),
Price DECIMAL,
Manufacturer INTEGER
)
CREATE TABLE Manufacturers (
Code INTEGER,
Name VARCHAR(255),
Headquarter VARCHAR(255),
Founder VARCHAR(255),
Revenue REAL
)
|
SELECT T2.Name, T1.Price FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T2.Name ORDER BY T2.Name
|
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Find the names and descriptions of courses that belong to the subject named "Computer Science".
|
CREATE TABLE Courses (course_name VARCHAR, course_description VARCHAR, subject_id VARCHAR); CREATE TABLE Subjects (subject_id VARCHAR, subject_name VARCHAR)
|
SELECT T1.course_name, T1.course_description FROM Courses AS T1 JOIN Subjects AS T2 ON T1.subject_id = T2.subject_id WHERE T2.subject_name = "Computer Science"
|
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how many literate males are there that has a district population of 6.65?
|
CREATE TABLE table_28939145_2 (
Literate VARCHAR,
_percentage_of_district_population VARCHAR
)
|
SELECT Literate AS male FROM table_28939145_2 WHERE _percentage_of_district_population = "6.65"
|
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How many losses did the golden rivers of ultima have when wins were less than 12 and byes larger than 2?
|
CREATE TABLE table_name_43 (losses VARCHAR, byes VARCHAR, wins VARCHAR, golden_rivers VARCHAR)
|
SELECT COUNT(losses) FROM table_name_43 WHERE wins < 12 AND golden_rivers = "ultima" AND byes > 2
|
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What was the language of "Mein Name Ist Bach"?
|
CREATE TABLE table_22034853_1 (language_s_ VARCHAR, film_title_used_in_nomination VARCHAR)
|
SELECT language_s_ FROM table_22034853_1 WHERE film_title_used_in_nomination = "Mein Name Ist Bach"
|
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what would be final four mvp maximum when first team is 1
|
CREATE TABLE table_3466 (
"Player" text,
"Number Of Selections" real,
"First Team" real,
"Second Team" real,
"Season MVP" real,
"Final Four MVP" real
)
|
SELECT MAX("Final Four MVP") FROM table_3466 WHERE "First Team" = '1'
|
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give me the number of patients with po route of drug administration born before 1846.
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "1846" AND prescriptions.route = "PO"
|
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Which Winners is the highest one that has a Rank larger than 7, and a Third smaller than 1?
|
CREATE TABLE table_name_44 (winners INTEGER, rank VARCHAR, third VARCHAR)
|
SELECT MAX(winners) FROM table_name_44 WHERE rank > 7 AND third < 1
|
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] |
Which Year has a Match of 63?
|
CREATE TABLE table_name_82 (
year VARCHAR,
match VARCHAR
)
|
SELECT year FROM table_name_82 WHERE match = 63
|
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datasets for KNN
|
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
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CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE field (
fieldid int
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|
SELECT DISTINCT dataset.datasetid FROM dataset, keyphrase, paperdataset, paperkeyphrase WHERE keyphrase.keyphrasename = 'KNN' AND paperdataset.datasetid = dataset.datasetid AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paperkeyphrase.paperid = paperdataset.paperid
|
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what is the least different holders when the country is ireland and giro wins is less than 1?
|
CREATE TABLE table_name_93 (different_holders INTEGER, country VARCHAR, giro_wins VARCHAR)
|
SELECT MIN(different_holders) FROM table_name_93 WHERE country = "ireland" AND giro_wins < 1
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What is the Date of the Fortified House?
|
CREATE TABLE table_name_39 (date VARCHAR, type VARCHAR)
|
SELECT date FROM table_name_39 WHERE type = "fortified house"
|
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3,
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] |
Before round 7, what is the greatest Pick # for a player that plays defensive tackle?
|
CREATE TABLE table_name_5 (
pick__number INTEGER,
position VARCHAR,
round VARCHAR
)
|
SELECT MAX(pick__number) FROM table_name_5 WHERE position = "defensive tackle" AND round < 7
|
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] |
What's the value for arizona when colorado and nevada are nixon, and texas is humphrey?
|
CREATE TABLE table_62540 (
"Year" text,
"Arizona" text,
"California" text,
"Colorado" text,
"Nevada" text,
"New Mexico" text,
"Oklahoma" text,
"Texas" text,
"Utah" text
)
|
SELECT "Arizona" FROM table_62540 WHERE "Colorado" = 'nixon' AND "Nevada" = 'nixon' AND "Texas" = 'humphrey'
|
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Who was born on 10 May 1788 that ceased to be queen?
|
CREATE TABLE table_name_3 (
ceased_to_be_queen VARCHAR,
birth VARCHAR
)
|
SELECT ceased_to_be_queen FROM table_name_3 WHERE birth = "10 may 1788"
|
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acute haematological malignancies
|
CREATE TABLE table_train_53 (
"id" int,
"immune_suppression" bool,
"need_hemodialysis" bool,
"steroid_therapy" bool,
"cardiogenic_shock" bool,
"hematologic_disease" bool,
"coronary_syndrome" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_53 WHERE hematologic_disease = 1
|
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Which interface uses Sandforce with a code name of Sierra Star?
|
CREATE TABLE table_6315 (
"Model" text,
"Codename" text,
"Capacities (GB)" text,
"NAND type" text,
"Interface" text,
"Form factor" text,
"Controller" text,
"Seq. read/write MB/s" text,
"Rnd 4KB read/write IOPS (K)" text,
"Introduced" text
)
|
SELECT "Interface" FROM table_6315 WHERE "Controller" = 'sandforce' AND "Codename" = 'sierra star'
|
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Which college has their team as the New York Jets?
|
CREATE TABLE table_name_38 (
college VARCHAR,
team VARCHAR
)
|
SELECT college FROM table_name_38 WHERE team = "new york jets"
|
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Who is the player who was born before 1980 who currently plays for the Toronto Raptors?
|
CREATE TABLE table_name_22 (player VARCHAR, year_born VARCHAR, current_club VARCHAR)
|
SELECT player FROM table_name_22 WHERE year_born < 1980 AND current_club = "toronto raptors"
|
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What is the maximum number of games when the season is more recent than 2001 and the average is less than 10,838?
|
CREATE TABLE table_name_90 (games INTEGER, season VARCHAR, average VARCHAR)
|
SELECT MAX(games) FROM table_name_90 WHERE season > 2001 AND average < 10 OFFSET 838
|
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provide the number of patients whose year of birth is less than 2031 and drug name is syringe (neonatal) *d5w*?
|
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 lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE 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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dob_year < "2031" AND prescriptions.drug = "Syringe (Neonatal) *D5W*"
|
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What is the name of the integrated where allied-related is shared?
|
CREATE TABLE table_11944282_1 (component VARCHAR, allied_related VARCHAR)
|
SELECT component FROM table_11944282_1 WHERE allied_related = "Shared"
|
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Which team has the record of 11-6?
|
CREATE TABLE table_name_8 (
loss VARCHAR,
record VARCHAR
)
|
SELECT loss FROM table_name_8 WHERE record = "11-6"
|
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] |
How many values of r z(arcsecond) are associated with a target datum of Ireland 1965?
|
CREATE TABLE table_20016 (
"Region" text,
"Start datum" text,
"Target datum" text,
"c_x ( Metre )" text,
"c_y (Metre)" text,
"c_z (Metre)" text,
"s ( ppm )" text,
"r x ( Arcsecond )" text,
"r y ( Arcsecond )" text,
"r z ( Arcsecond )" text
)
|
SELECT "r z ( Arcsecond )" FROM table_20016 WHERE "Target datum" = 'Ireland 1965'
|
[
32100,
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332,
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953,
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Who was the subject of the bronze sculpture who was a colonist and soldier in Ville Marie, New France?
|
CREATE TABLE table_20903658_1 (
title_subject VARCHAR,
medium VARCHAR,
public_office VARCHAR
)
|
SELECT title_subject FROM table_20903658_1 WHERE medium = "Bronze" AND public_office = "colonist and soldier in Ville Marie, New France"
|
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Who had a to par of +2 and a score of 78-69-68=215?
|
CREATE TABLE table_name_22 (player VARCHAR, to_par VARCHAR, score VARCHAR)
|
SELECT player FROM table_name_22 WHERE to_par = "+2" AND score = 78 - 69 - 68 = 215
|
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How many games had they won or lost in a row on May 9?
|
CREATE TABLE table_30047613_13 (streak VARCHAR, date VARCHAR)
|
SELECT streak FROM table_30047613_13 WHERE date = "May 9"
|
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what is minimum hours of the students playing in different position?
|
CREATE TABLE College (
cName varchar(20),
state varchar(2),
enr numeric(5,0)
)
CREATE TABLE Player (
pID numeric(5,0),
pName varchar(20),
yCard varchar(3),
HS numeric(5,0)
)
CREATE TABLE Tryout (
pID numeric(5,0),
cName varchar(20),
pPos varchar(8),
decision varchar(3)
)
|
SELECT pPos, MIN(T2.HS) FROM Tryout AS T1 JOIN Player AS T2 ON T1.pID = T2.pID GROUP BY pPos
|
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What is the result for a year later than 2002?
|
CREATE TABLE table_name_1 (
result VARCHAR,
year INTEGER
)
|
SELECT result FROM table_name_1 WHERE year > 2002
|
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what is subject name and religion 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 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 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 demographic.name, demographic.religion FROM demographic WHERE demographic.subject_id = "2560"
|
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] |
Visualize a pie chart about the proportion of All_Games and All_Games_Percent.
|
CREATE TABLE basketball_match (
Team_ID int,
School_ID int,
Team_Name text,
ACC_Regular_Season text,
ACC_Percent text,
ACC_Home text,
ACC_Road text,
All_Games text,
All_Games_Percent int,
All_Home text,
All_Road text,
All_Neutral text
)
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
|
SELECT All_Games, All_Games_Percent FROM basketball_match
|
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] |
what is the rank when the mountain peak is isthmus peak?
|
CREATE TABLE table_name_63 (rank VARCHAR, mountain_peak VARCHAR)
|
SELECT rank FROM table_name_63 WHERE mountain_peak = "isthmus peak"
|
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subjects must have a bp < 130 / 80 mm hg and no prior history of hypertension.
|
CREATE TABLE table_train_276 (
"id" int,
"hbv" bool,
"systolic_blood_pressure_sbp" int,
"hiv_infection" bool,
"hcv" bool,
"diastolic_blood_pressure_dbp" int,
"body_mass_index_bmi" float,
"hypertension" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_276 WHERE hypertension = 0 OR systolic_blood_pressure_sbp < 130 OR diastolic_blood_pressure_dbp < 80
|
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
What is the average age and how many male students are there in each city?
|
CREATE TABLE dorm_amenity (
amenid number,
amenity_name text
)
CREATE TABLE dorm (
dormid number,
dorm_name text,
student_capacity number,
gender text
)
CREATE TABLE lives_in (
stuid number,
dormid number,
room_number number
)
CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE has_amenity (
dormid number,
amenid number
)
|
SELECT COUNT(*), AVG(age), city_code FROM student WHERE sex = 'M' GROUP BY city_code
|
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Name the to par for score of 69-73-68-70=280
|
CREATE TABLE table_name_84 (
to_par VARCHAR,
score VARCHAR
)
|
SELECT to_par FROM table_name_84 WHERE score = 69 - 73 - 68 - 70 = 280
|
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What is Bob Gilder in Place T3's To par?
|
CREATE TABLE table_name_43 (
to_par VARCHAR,
place VARCHAR,
player VARCHAR
)
|
SELECT to_par FROM table_name_43 WHERE place = "t3" AND player = "bob gilder"
|
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What is the D45 associated with a D42 of r 22?
|
CREATE TABLE table_name_23 (d_45 VARCHAR, d_42 VARCHAR)
|
SELECT d_45 FROM table_name_23 WHERE d_42 = "r 22"
|
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Which Points difference has Played of 32, and Points for of 840?
|
CREATE TABLE table_name_23 (points_difference VARCHAR, played VARCHAR, points_for VARCHAR)
|
SELECT points_difference FROM table_name_23 WHERE played = "32" AND points_for = "840"
|
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Return a bar chart for what is the number of areas for all appellations?, and could you rank y axis in asc order please?
|
CREATE TABLE wine (
No INTEGER,
Grape TEXT,
Winery TEXT,
Appelation TEXT,
State TEXT,
Name TEXT,
Year INTEGER,
Price INTEGER,
Score INTEGER,
Cases INTEGER,
Drink TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
|
SELECT Area, COUNT(Area) FROM appellations GROUP BY Area ORDER BY COUNT(Area)
|
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What Canadian Championship has Ashtone Morgan Category:Articles with hcards as the name?
|
CREATE TABLE table_name_45 (canadian_championship VARCHAR, name VARCHAR)
|
SELECT canadian_championship FROM table_name_45 WHERE name = "ashtone morgan category:articles with hcards"
|
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which patients have been diagnosed with personal history of malignant neoplasm of gastrointestinal tract, unspecified?
|
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
)
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 WHERE diagnoses.long_title = "Personal history of malignant neoplasm of gastrointestinal tract, unspecified"
|
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What is the average number of seasons completed of the team with less than 1 division titles, 0 playoff appearances, and more than 0 finals appearances?
|
CREATE TABLE table_9392 (
"Team" text,
"First NHL season" text,
"Last NHL season" text,
"Seasons completed" real,
"Playoff appearances" real,
"Series won" real,
"Finals appearances" real,
"Division titles" real,
"Conference titles" real,
"Stanley Cup Championships" real
)
|
SELECT AVG("Seasons completed") FROM table_9392 WHERE "Division titles" < '1' AND "Playoff appearances" = '0' AND "Finals appearances" > '0'
|
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Draw a bar chart of name versus height, order by the y axis in desc.
|
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
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
)
|
SELECT Name, Height FROM people ORDER BY Height DESC
|
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What are the average and minimum price (in Euro) of all products?
|
CREATE TABLE catalog_structure (
catalog_level_number number,
catalog_id number,
catalog_level_name text
)
CREATE TABLE catalog_contents (
catalog_entry_id number,
catalog_level_number number,
parent_entry_id number,
previous_entry_id number,
next_entry_id number,
catalog_entry_name text,
product_stock_number text,
price_in_dollars number,
price_in_euros number,
price_in_pounds number,
capacity text,
length text,
height text,
width text
)
CREATE TABLE catalog_contents_additional_attributes (
catalog_entry_id number,
catalog_level_number number,
attribute_id number,
attribute_value text
)
CREATE TABLE catalogs (
catalog_id number,
catalog_name text,
catalog_publisher text,
date_of_publication time,
date_of_latest_revision time
)
CREATE TABLE attribute_definitions (
attribute_id number,
attribute_name text,
attribute_data_type text
)
|
SELECT AVG(price_in_euros), MIN(price_in_euros) FROM catalog_contents
|
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What tournament was on May 31, 1987?
|
CREATE TABLE table_name_93 (
tournament VARCHAR,
date VARCHAR
)
|
SELECT tournament FROM table_name_93 WHERE date = "may 31, 1987"
|
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count the number of patients whose age is less than 86 and diagnoses long title is wheelchair dependence?
|
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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "86" AND diagnoses.long_title = "Wheelchair dependence"
|
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monte carlo simulation papers since 2011
|
CREATE TABLE writes (
paperid int,
authorid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE author (
authorid int,
authorname varchar
)
CREATE TABLE paperfield (
fieldid int,
paperid int
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
)
CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE field (
fieldid int
)
CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
|
SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'monte carlo simulation' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND paper.year > 2011
|
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Which Calendar has a WYSIWYG Editor of no, and an Unread message tracking of session, and an Image attachment of no?
|
CREATE TABLE table_75112 (
"Flat" text,
"Threaded" text,
"User-selectable themes" text,
"Calendar" text,
"Image attachment" text,
"Unread message tracking" text,
"WYSIWYG Editor" text
)
|
SELECT "Calendar" FROM table_75112 WHERE "WYSIWYG Editor" = 'no' AND "Unread message tracking" = 'session' AND "Image attachment" = 'no'
|
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What is Doug Ford's country?
|
CREATE TABLE table_name_1 (country VARCHAR, player VARCHAR)
|
SELECT country FROM table_name_1 WHERE player = "doug ford"
|
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what is religion of subject name josette orr?
|
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 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
)
|
SELECT demographic.religion FROM demographic WHERE demographic.name = "Josette Orr"
|
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What team with a seed value greater than 7 has a note that they were an NCRAA champion?
|
CREATE TABLE table_48367 (
"Seed" real,
"Team" text,
"League" text,
"Notes" text,
"Eliminated at" text
)
|
SELECT "Team" FROM table_48367 WHERE "Seed" > '7' AND "Notes" = 'ncraa champion'
|
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What date did a game have a time of 3:44?
|
CREATE TABLE table_name_55 (date VARCHAR, time VARCHAR)
|
SELECT date FROM table_name_55 WHERE time = "3:44"
|
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Tell me the name for longitude more than 103.8 and latitude of -11.4
|
CREATE TABLE table_name_80 (
name VARCHAR,
longitude VARCHAR,
latitude VARCHAR
)
|
SELECT name FROM table_name_80 WHERE longitude > 103.8 AND latitude = -11.4
|
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What is the highest floor for the building measuring 220 meters?
|
CREATE TABLE table_4649 (
"Name" text,
"City" text,
"Metres" real,
"Feet" real,
"Floors" real,
"Finalized" text
)
|
SELECT MAX("Floors") FROM table_4649 WHERE "Metres" > '220'
|
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What is the lowest wins with points larger than 46, and a rank of 10th?
|
CREATE TABLE table_name_55 (wins INTEGER, points VARCHAR, rank VARCHAR)
|
SELECT MIN(wins) FROM table_name_55 WHERE points > 46 AND rank = "10th"
|
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