NATURAL_LANG
stringlengths 0
446
| SCHEMA
stringlengths 27
2.21k
| SQL
stringlengths 18
453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
How many tries where points is 77?
|
CREATE TABLE table_13758945_1 (
tries_for VARCHAR,
points VARCHAR
)
|
SELECT tries_for FROM table_13758945_1 WHERE points = "77"
|
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Give me the comparison about Team_ID over the All_Neutral by a bar chart, and display in desc by the y-axis please.
|
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_Neutral, Team_ID FROM basketball_match ORDER BY Team_ID DESC
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What was the decision for the 1983 season for the game played against the New York Yankees?
|
CREATE TABLE table_63224 (
"Season" text,
"Pitcher" text,
"Decision" text,
"Opponent" text,
"Location" text
)
|
SELECT "Decision" FROM table_63224 WHERE "Opponent" = 'new york yankees' AND "Season" = '1983'
|
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Which Decision has a Series of 3 3?
|
CREATE TABLE table_46388 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Decision" text,
"Series" text
)
|
SELECT "Decision" FROM table_46388 WHERE "Series" = '3 – 3'
|
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-100
] |
Please give me a bar chart that counts the number of grape of wine, could you sort Y from high to low order?
|
CREATE TABLE appellations (
No INTEGER,
Appelation TEXT,
County TEXT,
State TEXT,
Area TEXT,
isAVA TEXT
)
CREATE TABLE grapes (
ID INTEGER,
Grape TEXT,
Color TEXT
)
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
)
|
SELECT Grape, COUNT(Grape) FROM wine GROUP BY Grape ORDER BY COUNT(Grape) DESC
|
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14196,
29083,
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855,
61,
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350,
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6880,
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Name the syrian christians for kollam
|
CREATE TABLE table_23214055_2 (syrian_christians VARCHAR, district VARCHAR)
|
SELECT syrian_christians FROM table_23214055_2 WHERE district = "Kollam"
|
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find the number of hispanic or latino patients who have procedure icd9 code 8191.
|
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 COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.ethnicity = "HISPANIC OR LATINO" AND procedures.icd9_code = "8191"
|
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What is the submission Year of the Film The Dark Side of the Moon directed by Erik Clausen?
|
CREATE TABLE table_name_40 (
year INTEGER,
director VARCHAR,
english_title VARCHAR
)
|
SELECT SUM(year) FROM table_name_40 WHERE director = "erik clausen" AND english_title = "the dark side of the moon"
|
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Who were the winner and nominees in 2001?
|
CREATE TABLE table_name_27 (winner_nominee_s_ VARCHAR, year VARCHAR)
|
SELECT winner_nominee_s_ FROM table_name_27 WHERE year = 2001
|
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What are the titles of the books whose writer is not 'Elaine Lee'?
|
CREATE TABLE book (
Title VARCHAR,
Writer VARCHAR
)
|
SELECT Title FROM book WHERE Writer <> "Elaine Lee"
|
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What is the average Total Freshwater Withdrawal (km 3 /yr), when Industrial Use (m 3 /p/yr)(in %) is 337(63%), and when Per Capita Withdrawal (m 3 /p/yr) is greater than 535?
|
CREATE TABLE table_76022 (
"Country" text,
"Total Freshwater Withdrawal (km 3 /yr)" real,
"Per Capita Withdrawal (m 3 /p/yr)" real,
"Domestic Use (m 3 /p/yr)(in %)" text,
"Industrial Use (m 3 /p/yr)(in %)" text,
"Agricultural Use (m 3 /p/yr)(in %)" text
)
|
SELECT AVG("Total Freshwater Withdrawal (km 3 /yr)") FROM table_76022 WHERE "Industrial Use (m 3 /p/yr)(in %)" = '337(63%)' AND "Per Capita Withdrawal (m 3 /p/yr)" > '535'
|
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What country is the Debemur Morti prod. label from?
|
CREATE TABLE table_78788 (
"Country" text,
"Date" text,
"Label" text,
"Format" text,
"Catalog Nr." text
)
|
SELECT "Country" FROM table_78788 WHERE "Label" = 'debemur morti prod.'
|
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List all the dates of enrollment and completion of students.
|
CREATE TABLE Student_Course_Enrolment (
date_of_enrolment VARCHAR,
date_of_completion VARCHAR
)
|
SELECT date_of_enrolment, date_of_completion FROM Student_Course_Enrolment
|
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] |
Return a bar chart about the distribution of All_Games and All_Games_Percent , display Y-axis in ascending order.
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
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
)
|
SELECT All_Games, All_Games_Percent FROM basketball_match ORDER BY All_Games_Percent
|
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give me the age and also the diagnoses icd9 code for estrella carroll
|
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 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
)
|
SELECT demographic.age, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.name = "Estrella Carroll"
|
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Find the average prices of all products from each manufacture, and list each company's name.
|
CREATE TABLE products (price INTEGER, Manufacturer VARCHAR); CREATE TABLE manufacturers (name VARCHAR, code VARCHAR)
|
SELECT AVG(T1.price), T2.name FROM products AS T1 JOIN manufacturers AS T2 ON T1.Manufacturer = T2.code GROUP BY T2.name
|
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Which pre-season has May 5 of 21?
|
CREATE TABLE table_name_21 (pre__season VARCHAR, may_5 VARCHAR)
|
SELECT pre__season FROM table_name_21 WHERE may_5 = "21"
|
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CREATE TABLE cite (
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citedpaperid int
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CREATE TABLE paper (
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venueid int,
year int,
numciting int,
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journalid int
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CREATE TABLE journal (
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CREATE TABLE dataset (
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CREATE TABLE paperkeyphrase (
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keyphraseid int
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CREATE TABLE paperdataset (
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CREATE TABLE author (
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CREATE TABLE paperfield (
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CREATE TABLE field (
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CREATE TABLE venue (
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CREATE TABLE keyphrase (
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SELECT DISTINCT paper.paperid FROM keyphrase, paper, paperkeyphrase WHERE keyphrase.keyphrasename = 'Computer Model' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid
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Name the 3 where weightlifter is m. van der goten ( bel )
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CREATE TABLE table_16779068_5 (
weightlifter VARCHAR
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SELECT 3 FROM table_16779068_5 WHERE weightlifter = "M. Van der Goten ( BEL )"
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What is the first round when team 1 was toulouse fc (d1)?
|
CREATE TABLE table_name_44 (team_1 VARCHAR)
|
SELECT 1 AS st_round FROM table_name_44 WHERE team_1 = "toulouse fc (d1)"
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When is the first broadcast for episodes where Rufus's guest is Jack Whitehall?
|
CREATE TABLE table_2194 (
"Episode" text,
"First broadcast" text,
"Rufus guest" text,
"Marcus guest" text,
"Winner" text
)
|
SELECT "First broadcast" FROM table_2194 WHERE "Rufus guest" = 'Jack Whitehall'
|
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Who was the opponent at the game attended by 45,000?
|
CREATE TABLE table_74965 (
"Date" text,
"Opponent#" text,
"Site" text,
"Result" text,
"Attendance" text
)
|
SELECT "Opponent#" FROM table_74965 WHERE "Attendance" = '45,000'
|
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What was Gongbo's title?
|
CREATE TABLE table_45234 (
"State" text,
"Type" text,
"Name" text,
"Title" text,
"Royal house" text
)
|
SELECT "Title" FROM table_45234 WHERE "Name" = 'gongbo'
|
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Which Against is the highest one that has a Difference of 12?
|
CREATE TABLE table_name_14 (against INTEGER, difference VARCHAR)
|
SELECT MAX(against) FROM table_name_14 WHERE difference = "12"
|
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What is the record where high assists is pierce (6)?
|
CREATE TABLE table_11959669_6 (
record VARCHAR,
high_assists VARCHAR
)
|
SELECT record FROM table_11959669_6 WHERE high_assists = "Pierce (6)"
|
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What is the tyres with a year earlier than 1961 for a climax l4 engine?
|
CREATE TABLE table_79881 (
"Year" real,
"Chassis" text,
"Engine" text,
"Tyres" text,
"Points" text
)
|
SELECT "Tyres" FROM table_79881 WHERE "Year" < '1961' AND "Engine" = 'climax l4'
|
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What party is Charles Van Wyck part of?
|
CREATE TABLE table_name_4 (
party VARCHAR,
incumbent VARCHAR
)
|
SELECT party FROM table_name_4 WHERE incumbent = "charles van wyck"
|
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What is the sum of laps that has a car number of larger than 1, is a ford, and has 155 points?
|
CREATE TABLE table_name_54 (laps INTEGER, points VARCHAR, car__number VARCHAR, make VARCHAR)
|
SELECT SUM(laps) FROM table_name_54 WHERE car__number > 1 AND make = "ford" AND points = 155
|
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What is NiCd, when Type is 'Capacity under 500mA constant Drain'?
|
CREATE TABLE table_name_23 (
nicd VARCHAR,
type VARCHAR
)
|
SELECT nicd FROM table_name_23 WHERE type = "capacity under 500ma constant drain"
|
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What was the source of the poll that gave McAuliffe 30% on June 8?
|
CREATE TABLE table_21535453_1 (source VARCHAR, terry_mcauliffe VARCHAR, dates_administered VARCHAR)
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SELECT source FROM table_21535453_1 WHERE terry_mcauliffe = "30%" AND dates_administered = "June 8"
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in a game against st kilda, what was the away team's score?
|
CREATE TABLE table_name_33 (
away_team VARCHAR,
home_team VARCHAR
)
|
SELECT away_team FROM table_name_33 WHERE home_team = "st kilda"
|
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For those employees who was hired before 2002-06-21, return a scatter chart about the correlation between salary and manager_id .
|
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
|
SELECT SALARY, MANAGER_ID FROM employees WHERE HIRE_DATE < '2002-06-21'
|
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What tv season was episode 23 broadcast?
|
CREATE TABLE table_2669287_1 (
tv_season VARCHAR,
episodes VARCHAR
)
|
SELECT tv_season FROM table_2669287_1 WHERE episodes = 23
|
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count the number of patients whose primary disease is chest pain and procedure short title is endosc inser stent bile?
|
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "CHEST PAIN" AND procedures.short_title = "Endosc inser stent bile"
|
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What was the score when the record 56-46 was met?
|
CREATE TABLE table_name_7 (
score VARCHAR,
record VARCHAR
)
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SELECT score FROM table_name_7 WHERE record = "56-46"
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who has written the most papers on semantic parsing ?
|
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paperid int
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CREATE TABLE paperdataset (
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CREATE TABLE field (
fieldid int
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CREATE TABLE paper (
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title varchar,
venueid int,
year int,
numciting int,
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journalid int
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CREATE TABLE cite (
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CREATE TABLE dataset (
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CREATE TABLE paperkeyphrase (
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CREATE TABLE journal (
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CREATE TABLE writes (
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CREATE TABLE venue (
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CREATE TABLE keyphrase (
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CREATE TABLE author (
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|
SELECT DISTINCT COUNT(paper.paperid), writes.authorid FROM keyphrase, paper, paperkeyphrase, writes WHERE keyphrase.keyphrasename = 'semantic parsing' AND paperkeyphrase.keyphraseid = keyphrase.keyphraseid AND paper.paperid = paperkeyphrase.paperid AND writes.paperid = paper.paperid GROUP BY writes.authorid ORDER BY COUNT(paper.paperid) DESC
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What is the completed date of ?
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how many times was fabio fabiani jay ten winner ?
|
CREATE TABLE table_204_137 (
id number,
"race" number,
"race name" text,
"pole position" text,
"fastest lap" text,
"winning driver" text,
"winning team" text,
"yokohama winner" text,
"jay-ten winner" text,
"report" text
)
|
SELECT COUNT(*) FROM table_204_137 WHERE "jay-ten winner" = 'fabio fabiani'
|
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Who was the director of the episode with a production code of 2393059?
|
CREATE TABLE table_10953197_2 (
director VARCHAR,
production_code VARCHAR
)
|
SELECT director FROM table_10953197_2 WHERE production_code = "2393059"
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What is the molecular target listed under the compounded name of hemiasterlin (e7974)
|
CREATE TABLE table_12715053_1 (molecular_target VARCHAR, compound_name VARCHAR)
|
SELECT molecular_target FROM table_12715053_1 WHERE compound_name = "Hemiasterlin (E7974)"
|
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What is the winning score of the tournament on 16 May 1993?
|
CREATE TABLE table_name_20 (winning_score VARCHAR, date VARCHAR)
|
SELECT winning_score FROM table_name_20 WHERE date = "16 may 1993"
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What is the away team's score at brunswick street oval?
|
CREATE TABLE table_name_80 (
away_team VARCHAR,
venue VARCHAR
)
|
SELECT away_team AS score FROM table_name_80 WHERE venue = "brunswick street oval"
|
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] |
If the season is before 2000, the runner up was north melbourne, and it's the pre-season cup, what's the sum of attendees?
|
CREATE TABLE table_name_8 (attendance INTEGER, season VARCHAR, premiership VARCHAR, runner_up VARCHAR)
|
SELECT SUM(attendance) FROM table_name_8 WHERE premiership = "pre-season cup" AND runner_up = "north melbourne" AND season < 2000
|
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180,
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599,
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] |
Show the number of heads of departments born in each state with a bar chart.
|
CREATE TABLE head (
head_ID int,
name text,
born_state text,
age real
)
CREATE TABLE management (
department_ID int,
head_ID int,
temporary_acting text
)
CREATE TABLE department (
Department_ID int,
Name text,
Creation text,
Ranking int,
Budget_in_Billions real,
Num_Employees real
)
|
SELECT born_state, COUNT(born_state) FROM head GROUP BY born_state
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
819,
41,
819,
834,
4309,
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6,
564,
1499,
6,
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834,
5540,
1499,
6,
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490,
3,
61,
3,
32102,
32103,
32102,
205,
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What is the average total medals of the soviet union, which has more than 2 bronze and more than 0 silver medals?
|
CREATE TABLE table_name_2 (total INTEGER, nation VARCHAR, bronze VARCHAR, silver VARCHAR)
|
SELECT AVG(total) FROM table_name_2 WHERE bronze > 2 AND silver > 0 AND nation = "soviet union"
|
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What is the sum of the total of player rich beem, who has a to par greater than 17?
|
CREATE TABLE table_62611 (
"Player" text,
"Country" text,
"Year won" real,
"Total" real,
"To par" real
)
|
SELECT SUM("Total") FROM table_62611 WHERE "Player" = 'rich beem' AND "To par" > '17'
|
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What is Gold, when Total is 6?
|
CREATE TABLE table_name_79 (
gold VARCHAR,
total VARCHAR
)
|
SELECT gold FROM table_name_79 WHERE total = 6
|
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how many patients whose death status is 1 and drug name is gentamicin sulfate?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
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 prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.expire_flag = "1" AND prescriptions.drug = "Gentamicin Sulfate"
|
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-100,
-100,
-100
] |
For all employees who have the letters D or S in their first name, find hire_date and the sum of employee_id bin hire_date by weekday, and visualize them by a bar chart.
|
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE 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)
)
|
SELECT HIRE_DATE, SUM(EMPLOYEE_ID) FROM employees WHERE FIRST_NAME LIKE '%D%' OR FIRST_NAME LIKE '%S%'
|
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What is Country, when Player is 'Billy Maxwell'?
|
CREATE TABLE table_48863 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
)
|
SELECT "Country" FROM table_48863 WHERE "Player" = 'billy maxwell'
|
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WHat status had an against larger than 6 and a date of 01/02/1975?
|
CREATE TABLE table_name_30 (
status VARCHAR,
against VARCHAR,
date VARCHAR
)
|
SELECT status FROM table_name_30 WHERE against > 6 AND date = "01/02/1975"
|
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What is the Prize, when the Event is Ept Deauville?
|
CREATE TABLE table_name_10 (prize VARCHAR, event VARCHAR)
|
SELECT prize FROM table_name_10 WHERE event = "ept deauville"
|
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What is the col location for the location of france / italy?
|
CREATE TABLE table_2731431_1 (col_location VARCHAR, location VARCHAR)
|
SELECT col_location FROM table_2731431_1 WHERE location = "France / Italy"
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100
] |
Return the average, minimum, maximum, and total transaction amounts.
|
CREATE TABLE orders (
order_id number,
customer_id number,
date_order_placed time,
order_details text
)
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 accounts (
account_id number,
customer_id number,
date_account_opened time,
account_name text,
other_account_details text
)
CREATE TABLE order_items (
order_item_id number,
order_id number,
product_id number,
product_quantity text,
other_order_item_details 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
)
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
)
|
SELECT AVG(transaction_amount), MIN(transaction_amount), MAX(transaction_amount), SUM(transaction_amount) FROM financial_transactions
|
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[
3,
23143,
14196,
71,
17217,
599,
7031,
4787,
834,
9,
11231,
201,
3,
17684,
599,
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-100,
-100
] |
Which state is West Spanish Peak in?
|
CREATE TABLE table_name_4 (
state VARCHAR,
mountain_peak VARCHAR
)
|
SELECT state FROM table_name_4 WHERE mountain_peak = "west spanish peak"
|
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For artist names who are not from the United States, how many names in each year?
|
CREATE TABLE exhibition (
Exhibition_ID int,
Year int,
Theme text,
Artist_ID int,
Ticket_Price real
)
CREATE TABLE artist (
Artist_ID int,
Name text,
Country text,
Year_Join int,
Age int
)
CREATE TABLE exhibition_record (
Exhibition_ID int,
Date text,
Attendance int
)
|
SELECT Year_Join, COUNT(Year_Join) FROM artist WHERE Country <> 'United States' GROUP BY Name
|
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what is the number of patients whose lab test abnormal status is abnormal and lab test name is gentamicin?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE lab.flag = "abnormal" AND lab.label = "Gentamicin"
|
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What is the code nickname where Steve Mayne is the coach?
|
CREATE TABLE table_18752986_1 (nickname VARCHAR, coach VARCHAR)
|
SELECT nickname FROM table_18752986_1 WHERE coach = "Steve Mayne"
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what country is the only country with at least 20 gold medals ?
|
CREATE TABLE table_203_716 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT "nation" FROM table_203_716 WHERE "gold" >= 20
|
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What is the title of the production code 1acx09?
|
CREATE TABLE table_22575 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"Production code" text
)
|
SELECT "Title" FROM table_22575 WHERE "Production code" = '1ACX09'
|
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Which Label has a Release of liebesgr sse aus ost-berlin?
|
CREATE TABLE table_name_16 (
label VARCHAR,
release VARCHAR
)
|
SELECT label FROM table_name_16 WHERE release = "liebesgrüsse aus ost-berlin"
|
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Which Wins has a Top-5 of 6?
|
CREATE TABLE table_name_26 (wins INTEGER, top_5 VARCHAR)
|
SELECT AVG(wins) FROM table_name_26 WHERE top_5 = 6
|
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What was the attendance on May 26?
|
CREATE TABLE table_name_86 (attendance VARCHAR, date VARCHAR)
|
SELECT attendance FROM table_name_86 WHERE date = "may 26"
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What Score points has a Rank points of defending champion?
|
CREATE TABLE table_59511 (
"Shooter" text,
"Event" text,
"Rank points" text,
"Score points" text,
"Total" text
)
|
SELECT "Score points" FROM table_59511 WHERE "Rank points" = 'defending champion'
|
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] |
how many countries had 21 points
|
CREATE TABLE table_74377 (
"Rk" real,
"Name" text,
"Country" text,
"Matches Played" real,
"Matches Won" real,
"Points" real,
"Prize Money (USD)" real
)
|
SELECT COUNT("Country") FROM table_74377 WHERE "Points" = '21'
|
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How many times did the 2nd season have a finale?
|
CREATE TABLE table_1348989_2 (season VARCHAR)
|
SELECT COUNT(season) AS Finale FROM table_1348989_2 WHERE season = "2nd"
|
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List all of the NLL Toronto Rock players.
|
CREATE TABLE table_22102 (
"Player" text,
"Alma Mater" text,
"National Lacrosse League" text,
"Major League Lacrosse" text,
"International Competition" text
)
|
SELECT "Player" FROM table_22102 WHERE "National Lacrosse League" = 'Toronto Rock'
|
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Which Game 3 has a Game 1 of brett kenny?
|
CREATE TABLE table_name_75 (
game_3 VARCHAR,
game_1 VARCHAR
)
|
SELECT game_3 FROM table_name_75 WHERE game_1 = "brett kenny"
|
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What is the lowest number of goals joe keenan, who has more than 1 assists, had in 2007/08?
|
CREATE TABLE table_name_84 (goals INTEGER, assists VARCHAR, years VARCHAR, name VARCHAR)
|
SELECT MIN(goals) FROM table_name_84 WHERE years = "2007/08" AND name = "joe keenan" AND assists > 1
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What is Tom Kite with a Score of 68's To Par?
|
CREATE TABLE table_62251 (
"Place" text,
"Player" text,
"Country" text,
"Score" real,
"To par" text
)
|
SELECT "To par" FROM table_62251 WHERE "Score" = '68' AND "Player" = 'tom kite'
|
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How many distinct characteristic names does the product 'cumin' have?
|
CREATE TABLE characteristics (
characteristic_id number,
characteristic_type_code text,
characteristic_data_type text,
characteristic_name text,
other_characteristic_details text
)
CREATE TABLE product_characteristics (
product_id number,
characteristic_id number,
product_characteristic_value text
)
CREATE TABLE ref_characteristic_types (
characteristic_type_code text,
characteristic_type_description text
)
CREATE TABLE ref_colors (
color_code text,
color_description text
)
CREATE TABLE products (
product_id number,
color_code text,
product_category_code text,
product_name text,
typical_buying_price text,
typical_selling_price text,
product_description text,
other_product_details text
)
CREATE TABLE ref_product_categories (
product_category_code text,
product_category_description text,
unit_of_measure text
)
|
SELECT COUNT(DISTINCT t3.characteristic_name) FROM products AS t1 JOIN product_characteristics AS t2 ON t1.product_id = t2.product_id JOIN characteristics AS t3 ON t2.characteristic_id = t3.characteristic_id WHERE t1.product_name = "sesame"
|
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What is the lowest Premiere peaking at more than 35 with a Rank of 10 and Finale greater than 33?
|
CREATE TABLE table_name_25 (premiere INTEGER, finale VARCHAR, peak VARCHAR, rank VARCHAR)
|
SELECT MIN(premiere) FROM table_name_25 WHERE peak > 35 AND rank = 10 AND finale > 33
|
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What amount is the junior high school where the gender is male and the specification is minimum diameter of sakigawa?
|
CREATE TABLE table_13555999_1 (
junior_high_school__12_15_yrs_ VARCHAR,
gender VARCHAR,
specification VARCHAR
)
|
SELECT junior_high_school__12_15_yrs_ FROM table_13555999_1 WHERE gender = "Male" AND specification = "Minimum diameter of sakigawa"
|
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What is the score in the 6 atlas stones event of the player who got 2 (6 in 30.89s) in the 3 dead lift event?
|
CREATE TABLE table_24302700_6 (event_6_atlas_stones VARCHAR, event_3_dead_lift VARCHAR)
|
SELECT COUNT(event_6_atlas_stones) FROM table_24302700_6 WHERE event_3_dead_lift = "2 (6 in 30.89s)"
|
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What is the date with home team of Stockport County?
|
CREATE TABLE table_10032 (
"Tie no" text,
"Home team" text,
"Score" text,
"Away team" text,
"Date" text
)
|
SELECT "Date" FROM table_10032 WHERE "Home team" = 'stockport county'
|
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what's the pts with team being kopron team scot
|
CREATE TABLE table_19144 (
"Season" real,
"Class" text,
"Team" text,
"Motorcycle" text,
"Type" text,
"Races" real,
"Wins" real,
"Podiums" real,
"Poles" real,
"Fastest Laps" real,
"Pts" text,
"Position" text
)
|
SELECT "Pts" FROM table_19144 WHERE "Team" = 'Kopron Team Scot'
|
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How many departments are led by heads who are not mentioned?
|
CREATE TABLE management (department_id VARCHAR); CREATE TABLE department (department_id VARCHAR)
|
SELECT COUNT(*) FROM department WHERE NOT department_id IN (SELECT department_id FROM management)
|
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What Tournament had Jack Nicklaus as Runner(s)-up?
|
CREATE TABLE table_65561 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT "Tournament" FROM table_65561 WHERE "Runner(s)-up" = 'jack nicklaus'
|
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What is on at 5pm on the channel where As the World Turns is on at 2pm?
|
CREATE TABLE table_61209 (
"7:00 am" text,
"7:30 am" text,
"8:00 am" text,
"9:00 am" text,
"10:00 am" text,
"11:00 am" text,
"noon" text,
"12:30 pm" text,
"1:00 pm" text,
"1:30 pm" text,
"2:00 pm" text,
"3:00 pm" text,
"3:30 pm" text,
"5:00 pm" text,
"6:30 pm" text
)
|
SELECT "5:00 pm" FROM table_61209 WHERE "2:00 pm" = 'as the world turns'
|
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Show the locations that have more than one railways.
|
CREATE TABLE railway (LOCATION VARCHAR)
|
SELECT LOCATION FROM railway GROUP BY LOCATION HAVING COUNT(*) > 1
|
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What Week 2 that has a Week 1 of mackenzie ryan?
|
CREATE TABLE table_name_81 (week_2 VARCHAR, week_1 VARCHAR)
|
SELECT week_2 FROM table_name_81 WHERE week_1 = "mackenzie ryan"
|
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How many games had 41 rushes and were than 197 yards?
|
CREATE TABLE table_31613 (
"Year" text,
"Games" real,
"Rushes" real,
"Yards" real,
"Average" real
)
|
SELECT COUNT("Games") FROM table_31613 WHERE "Rushes" = '41' AND "Yards" < '197'
|
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What label is in download format in the United States?
|
CREATE TABLE table_name_88 (
label VARCHAR,
region VARCHAR,
format VARCHAR
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SELECT label FROM table_name_88 WHERE region = "united states" AND format = "download"
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what is primary disease and diagnoses icd9 code of subject id 84129?
|
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.diagnosis, diagnoses.icd9_code FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.subject_id = "84129"
|
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What is the title when 18.58 u.s. viewers (millions) watched?
|
CREATE TABLE table_22211 (
"Series #" real,
"Season #" real,
"Title" text,
"Directed by" text,
"Written by" text,
"Original air date" text,
"U.S. viewers (millions)" text
)
|
SELECT "Title" FROM table_22211 WHERE "U.S. viewers (millions)" = '18.58'
|
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Which Throws have a Position of 3b/rhp?
|
CREATE TABLE table_name_1 (
throws VARCHAR,
position VARCHAR
)
|
SELECT throws FROM table_name_1 WHERE position = "3b/rhp"
|
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Find the dates on which more than one revisions were made.
|
CREATE TABLE Catalogs (
date_of_latest_revision VARCHAR
)
|
SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision HAVING COUNT(*) > 1
|
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521,
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] |
What is the minimum number of bypass ports listed?
|
CREATE TABLE table_16731248_1 (
bypass_ports INTEGER
)
|
SELECT MIN(bypass_ports) FROM table_16731248_1
|
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] |
provide the number of patients who are aged less than 68 years with posterior communicating aneurysm/sda.
|
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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic WHERE demographic.diagnosis = "POSTERIOR COMMUNICATING ANEURYSM/SDA" AND demographic.age < "68"
|
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Which Mascot has a School of logansport community?
|
CREATE TABLE table_66115 (
"School" text,
"Location" text,
"Mascot" text,
"# / County" text,
"Enrollment" real,
"IHSAA Class / Football/Soccer" text,
"Year Joined" real,
"Previous Conference" text
)
|
SELECT "Mascot" FROM table_66115 WHERE "School" = 'logansport community'
|
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] |
total number of episodes released in region 2 in 2007
|
CREATE TABLE table_203_461 (
id number,
"dvd title" text,
"discs" number,
"year" text,
"no. of ep." number,
"dvd release\nregion 2" text,
"dvd release\nregion 4" text
)
|
SELECT SUM("no. of ep.") FROM table_203_461 WHERE "dvd release\nregion 2" = 2007
|
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[
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180,
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] |
What was the highest number of students in attendance for the university of north texas?
|
CREATE TABLE table_30424 (
"Institution" text,
"Location" text,
"Founded" real,
"Affiliation" text,
"Enrollment" real,
"Team Nickname" text,
"Primary conference" text
)
|
SELECT MAX("Enrollment") FROM table_30424 WHERE "Institution" = 'University of North Texas'
|
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how many competitors from venezuela qualified for the final ?
|
CREATE TABLE table_204_886 (
id number,
"rank" number,
"swimmer" text,
"country" text,
"time" text,
"note" text
)
|
SELECT COUNT("swimmer") FROM table_204_886 WHERE "country" = 'venezuela'
|
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what team played on april 9
|
CREATE TABLE table_name_58 (
opponent VARCHAR,
date VARCHAR
)
|
SELECT opponent FROM table_name_58 WHERE date = "april 9"
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What is the least amount of matches?
|
CREATE TABLE table_27922491_8 (matches INTEGER)
|
SELECT MIN(matches) FROM table_27922491_8
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Draw a bar chart about the distribution of ACC_Road and the amount of ACC_Road , and group by attribute ACC_Road.
|
CREATE TABLE university (
School_ID int,
School text,
Location text,
Founded real,
Affiliation text,
Enrollment real,
Nickname text,
Primary_conference text
)
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
)
|
SELECT ACC_Road, COUNT(ACC_Road) FROM basketball_match GROUP BY ACC_Road
|
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What was the Indians record during the game that had 19,823 fans attending?
|
CREATE TABLE table_name_75 (record VARCHAR, attendance VARCHAR)
|
SELECT record FROM table_name_75 WHERE attendance = "19,823"
|
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total serum protein > 9 g / dl
|
CREATE TABLE table_train_117 (
"id" int,
"mini_mental_state_examination_mmse" int,
"systolic_blood_pressure_sbp" int,
"renal_disease" bool,
"total_serum_protein" int,
"diastolic_blood_pressure_dbp" int,
"geriatric_depression_scale_gds" int,
"serum_creatinine" float,
"uncontrolled_blood_pressure" bool,
"NOUSE" float
)
|
SELECT * FROM table_train_117 WHERE total_serum_protein > 9
|
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how many patients whose religion is protestant quaker and lab test name is prot. electrophoresis, urine?
|
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.religion = "PROTESTANT QUAKER" AND lab.label = "Prot. Electrophoresis, Urine"
|
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Get me the list of patients who died on or before 2126 that had drug code ggac5l.
|
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.dod_year <= "2126.0" AND prescriptions.formulary_drug_cd = "GGAC5L"
|
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