NATURAL_LANG
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446
| SCHEMA
stringlengths 27
2.21k
| SQL
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453
| input_ids
list | attention_mask
list | labels
list |
|---|---|---|---|---|---|
Which Surface is on 23 january 2011?
|
CREATE TABLE table_name_79 (
surface VARCHAR,
date VARCHAR
)
|
SELECT surface FROM table_name_79 WHERE date = "23 january 2011"
|
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What were the scores on September 11, 2006?
|
CREATE TABLE table_name_95 (score VARCHAR, date VARCHAR)
|
SELECT score FROM table_name_95 WHERE date = "september 11, 2006"
|
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What is the largest pick in round 8?
|
CREATE TABLE table_name_82 (pick INTEGER, round VARCHAR)
|
SELECT MAX(pick) FROM table_name_82 WHERE round = 8
|
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What is the average React, when Name is 'Candice Davis', and when Lane is less than 3?
|
CREATE TABLE table_9645 (
"Lane" real,
"Name" text,
"Country" text,
"Mark" real,
"React" real
)
|
SELECT AVG("React") FROM table_9645 WHERE "Name" = 'candice davis' AND "Lane" < '3'
|
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how many albums are performed by martin carthy or ewan maccoll ?
|
CREATE TABLE table_204_268 (
id number,
"album/single" text,
"performer" text,
"year" number,
"variant" text,
"notes" text
)
|
SELECT COUNT("album/single") FROM table_204_268 WHERE "performer" IN ('martin carthy', 'ewan maccoll')
|
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What was the score of the match against roger federer on April 3, 2006?
|
CREATE TABLE table_name_44 (score VARCHAR, opponent VARCHAR, date VARCHAR)
|
SELECT score FROM table_name_44 WHERE opponent = "roger federer" AND date = "april 3, 2006"
|
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Name the number of score for january 12
|
CREATE TABLE table_29931 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT COUNT("Score") FROM table_29931 WHERE "Date" = 'January 12'
|
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What kind of Japanese has a Region of tōhoku?
|
CREATE TABLE table_name_71 (japanese VARCHAR, region VARCHAR)
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SELECT japanese FROM table_name_71 WHERE region = "tōhoku"
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What college team did Ryan Golden come from?
|
CREATE TABLE table_2781227_7 (
college_junior_club_team VARCHAR,
player VARCHAR
)
|
SELECT college_junior_club_team FROM table_2781227_7 WHERE player = "Ryan Golden"
|
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When did TDB depart?
|
CREATE TABLE table_name_16 (
year INTEGER,
departed_from VARCHAR
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|
SELECT MAX(year) FROM table_name_16 WHERE departed_from = "tdb"
|
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What resulted in a score of 22-21?
|
CREATE TABLE table_name_27 (result VARCHAR, score VARCHAR)
|
SELECT result FROM table_name_27 WHERE score = "22-21"
|
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What is the Wade-Giles translation of the Pinyin x n r yu nh u?
|
CREATE TABLE table_name_44 (
wade_giles VARCHAR,
pinyin VARCHAR
)
|
SELECT wade_giles FROM table_name_44 WHERE pinyin = "xīn rú yuánhóu"
|
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What is the number of booking start dates of the apartments with type code 'Duplex' in each year? Return a bar chart, show y axis in ascending order.
|
CREATE TABLE Guests (
guest_id INTEGER,
gender_code CHAR(1),
guest_first_name VARCHAR(80),
guest_last_name VARCHAR(80),
date_of_birth DATETIME
)
CREATE TABLE Apartment_Bookings (
apt_booking_id INTEGER,
apt_id INTEGER,
guest_id INTEGER,
booking_status_code CHAR(15),
booking_start_date DATETIME,
booking_end_date DATETIME
)
CREATE TABLE Apartment_Buildings (
building_id INTEGER,
building_short_name CHAR(15),
building_full_name VARCHAR(80),
building_description VARCHAR(255),
building_address VARCHAR(255),
building_manager VARCHAR(50),
building_phone VARCHAR(80)
)
CREATE TABLE View_Unit_Status (
apt_id INTEGER,
apt_booking_id INTEGER,
status_date DATETIME,
available_yn BIT
)
CREATE TABLE Apartment_Facilities (
apt_id INTEGER,
facility_code CHAR(15)
)
CREATE TABLE Apartments (
apt_id INTEGER,
building_id INTEGER,
apt_type_code CHAR(15),
apt_number CHAR(10),
bathroom_count INTEGER,
bedroom_count INTEGER,
room_count CHAR(5)
)
|
SELECT booking_start_date, COUNT(booking_start_date) FROM Apartment_Bookings AS T1 JOIN Apartments AS T2 ON T1.apt_id = T2.apt_id WHERE T2.apt_type_code = "Duplex" ORDER BY COUNT(booking_start_date)
|
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What's the content of the Tutti i Pacchetti + Sky HD package?
|
CREATE TABLE table_20387 (
"N\u00b0" real,
"Television service" text,
"Country" text,
"Language" text,
"Content" text,
"DAR" text,
"HDTV" text,
"PPV" text,
"Package/Option" text
)
|
SELECT "Content" FROM table_20387 WHERE "Package/Option" = 'Tutti i pacchetti + Sky HD'
|
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In how many different years was the team nicknamed Comets founded?
|
CREATE TABLE table_28243691_2 (
founded VARCHAR,
team_nickname VARCHAR
)
|
SELECT COUNT(founded) FROM table_28243691_2 WHERE team_nickname = "Comets"
|
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What were the total career titles of the player who led for 5 years?
|
CREATE TABLE table_26046 (
"Years led" text,
"Span of years led" real,
"Player" text,
"Titles won at point of lead" real,
"Total Career titles" real,
"Tournament at which lead began" text
)
|
SELECT COUNT("Total Career titles") FROM table_26046 WHERE "Span of years led" = '5'
|
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Name the branding for forum communications
|
CREATE TABLE table_14623167_1 (
branding VARCHAR,
owner VARCHAR
)
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SELECT branding FROM table_14623167_1 WHERE owner = "Forum Communications"
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For the channel smaller than 63.2, what was the programming?
|
CREATE TABLE table_12011 (
"Channel" real,
"Video" text,
"Aspect" text,
"PSIP Short Name" text,
"Programming" text
)
|
SELECT "Programming" FROM table_12011 WHERE "Channel" < '63.2'
|
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what is the total years on the chart
|
CREATE TABLE table_204_620 (
id number,
"title" text,
"year" number,
"language" text,
"role" text,
"notes" text
)
|
SELECT COUNT(DISTINCT "year") FROM table_204_620
|
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How many licenses have mind workstation software?
|
CREATE TABLE table_19811 (
"Software" text,
"Version" text,
"Operating systems" text,
"Developer" text,
"License" text
)
|
SELECT COUNT("License") FROM table_19811 WHERE "Software" = 'Mind WorkStation'
|
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What is the home port of m40?
|
CREATE TABLE table_name_62 (
home_port VARCHAR,
pennant VARCHAR
)
|
SELECT home_port FROM table_name_62 WHERE pennant = "m40"
|
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how many patients with icd9 code 5839 were admitted to phys referral/normal deli?
|
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
)
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.admission_location = "PHYS REFERRAL/NORMAL DELI" AND diagnoses.icd9_code = "5839"
|
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] |
For those employees who did not have any job in the past, a bar chart shows the distribution of hire_date and the sum of manager_id bin hire_date by time, could you display in ascending by the Y-axis?
|
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 jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
|
SELECT HIRE_DATE, SUM(MANAGER_ID) FROM employees WHERE NOT EMPLOYEE_ID IN (SELECT EMPLOYEE_ID FROM job_history) ORDER BY SUM(MANAGER_ID)
|
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] |
Show the party and the number of drivers in each party with a bar chart.
|
CREATE TABLE school_bus (
School_ID int,
Driver_ID int,
Years_Working int,
If_full_time bool
)
CREATE TABLE school (
School_ID int,
Grade text,
School text,
Location text,
Type text
)
CREATE TABLE driver (
Driver_ID int,
Name text,
Party text,
Home_city text,
Age int
)
|
SELECT Party, COUNT(*) FROM driver GROUP BY Party
|
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What are the names and opening hours of the tourist attractions that can be accessed by bus or walk?
|
CREATE TABLE tourist_attraction_features (
tourist_attraction_id number,
feature_id number
)
CREATE TABLE shops (
shop_id number,
shop_details text
)
CREATE TABLE street_markets (
market_id number,
market_details text
)
CREATE TABLE visits (
visit_id number,
tourist_attraction_id number,
tourist_id number,
visit_date time,
visit_details text
)
CREATE TABLE theme_parks (
theme_park_id number,
theme_park_details text
)
CREATE TABLE photos (
photo_id number,
tourist_attraction_id number,
name text,
description text,
filename text,
other_details text
)
CREATE TABLE staff (
staff_id number,
tourist_attraction_id number,
name text,
other_details text
)
CREATE TABLE royal_family (
royal_family_id number,
royal_family_details text
)
CREATE TABLE tourist_attractions (
tourist_attraction_id number,
attraction_type_code text,
location_id number,
how_to_get_there text,
name text,
description text,
opening_hours text,
other_details text
)
CREATE TABLE museums (
museum_id number,
museum_details text
)
CREATE TABLE visitors (
tourist_id number,
tourist_details text
)
CREATE TABLE ref_hotel_star_ratings (
star_rating_code text,
star_rating_description text
)
CREATE TABLE locations (
location_id number,
location_name text,
address text,
other_details text
)
CREATE TABLE features (
feature_id number,
feature_details text
)
CREATE TABLE hotels (
hotel_id number,
star_rating_code text,
pets_allowed_yn text,
price_range number,
other_hotel_details text
)
CREATE TABLE ref_attraction_types (
attraction_type_code text,
attraction_type_description text
)
|
SELECT name, opening_hours FROM tourist_attractions WHERE how_to_get_there = "bus" OR how_to_get_there = "walk"
|
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On 15/04/07 in the competition Super League XII, what was the score?
|
CREATE TABLE table_name_94 (score VARCHAR, competition VARCHAR, date VARCHAR)
|
SELECT score FROM table_name_94 WHERE competition = "super league xii" AND date = "15/04/07"
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When Cleveland was 2nd, great lakes in the regular season what did they get to in the playoffs?
|
CREATE TABLE table_2357201_1 (playoffs VARCHAR, regular_season VARCHAR)
|
SELECT playoffs FROM table_2357201_1 WHERE regular_season = "2nd, Great Lakes"
|
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What is the sum of Overall, when Round is less than 24, and when College is North Carolina State?
|
CREATE TABLE table_name_50 (overall INTEGER, round VARCHAR, college VARCHAR)
|
SELECT SUM(overall) FROM table_name_50 WHERE round < 24 AND college = "north carolina state"
|
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What is the Area KM 2 of the place that has a Census ranking of 1,016 of 5,008?
|
CREATE TABLE table_171236_2 (
area_km_2 VARCHAR,
census_ranking VARCHAR
)
|
SELECT area_km_2 FROM table_171236_2 WHERE census_ranking = "1,016 of 5,008"
|
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Who wrote the episode with the production code of 3t7255?
|
CREATE TABLE table_27116696_1 (written_by VARCHAR, production_code VARCHAR)
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SELECT written_by FROM table_27116696_1 WHERE production_code = "3T7255"
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report the long title of procedure and procedure ic9 code for patient with patient id 26746.
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT procedures.icd9_code, procedures.long_title FROM procedures WHERE procedures.subject_id = "26746"
|
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how many patients born before the year 2074 had an elective admission type?
|
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 WHERE demographic.admission_type = "ELECTIVE" AND demographic.dob_year < "2074"
|
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What was the score for the match where the home team was Leicester City?
|
CREATE TABLE table_name_16 (score VARCHAR, home_team VARCHAR)
|
SELECT score FROM table_name_16 WHERE home_team = "leicester city"
|
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-100,
-100,
-100,
-100,
-100
] |
Bar chart x axis type y axis the total number, and show names from high to low order please.
|
CREATE TABLE mission (
Mission_ID int,
Ship_ID int,
Code text,
Launched_Year int,
Location text,
Speed_knots int,
Fate text
)
CREATE TABLE ship (
Ship_ID int,
Name text,
Type text,
Nationality text,
Tonnage int
)
|
SELECT Type, COUNT(*) FROM ship GROUP BY Type ORDER BY Type DESC
|
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[
3,
23143,
14196,
6632,
6,
2847,
17161,
599,
1935,
61,
21680,
4383,
350,
4630,
6880,
272,
476,
6632,
4674,
11300,
272,
476,
6632,
309,
25067,
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] |
What is the total number of first prizes in USD for the Canadian Open?
|
CREATE TABLE table_name_68 (
tournament VARCHAR
)
|
SELECT SUM(1 AS st_prize___) AS $__ FROM table_name_68 WHERE tournament = "canadian open"
|
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] |
For those records from the products and each product's manufacturer, show me about the distribution of name and revenue , and group by attribute name in a bar chart, and order in ascending by the Y.
|
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 T1.Name, T2.Revenue FROM Products AS T1 JOIN Manufacturers AS T2 ON T1.Manufacturer = T2.Code GROUP BY T1.Name, T1.Name ORDER BY T2.Revenue
|
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provide the number of patients whose death status is 0 and procedure short title is incision of aorta?
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.expire_flag = "0" AND procedures.short_title = "Incision of aorta"
|
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Give me the comparison about the sum of Weight over the Sex , and group by attribute Sex, and sort by the Y in descending.
|
CREATE TABLE candidate (
Candidate_ID int,
People_ID int,
Poll_Source text,
Date text,
Support_rate real,
Consider_rate real,
Oppose_rate real,
Unsure_rate real
)
CREATE TABLE people (
People_ID int,
Sex text,
Name text,
Date_of_Birth text,
Height real,
Weight real
)
|
SELECT Sex, SUM(Weight) FROM people GROUP BY Sex ORDER BY SUM(Weight) DESC
|
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What cub team or college did Bob Law come from?
|
CREATE TABLE table_1965650_8 (college_junior_club_team VARCHAR, player VARCHAR)
|
SELECT college_junior_club_team FROM table_1965650_8 WHERE player = "Bob Law"
|
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Find the average and maximum age for each type of pet.
|
CREATE TABLE pets (pettype VARCHAR, pet_age INTEGER)
|
SELECT AVG(pet_age), MAX(pet_age), pettype FROM pets GROUP BY pettype
|
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Which country has the catalog nr of thr-048 in 2004?
|
CREATE TABLE table_name_43 (country VARCHAR, date VARCHAR, catalog_nr VARCHAR)
|
SELECT country FROM table_name_43 WHERE date = "2004" AND catalog_nr = "thr-048"
|
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What is the average total score of body builders with height bigger than 200?
|
CREATE TABLE people (
people_id number,
name text,
height number,
weight number,
birth_date text,
birth_place text
)
CREATE TABLE body_builder (
body_builder_id number,
people_id number,
snatch number,
clean_jerk number,
total number
)
|
SELECT AVG(T1.total) FROM body_builder AS T1 JOIN people AS T2 ON T1.people_id = T2.people_id WHERE T2.height > 200
|
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What college did the player who had the position of OT come from who was pick number less than 12 and a overall pick number bigger than 226?
|
CREATE TABLE table_45975 (
"Round" real,
"Pick" real,
"Overall" real,
"Name" text,
"Position" text,
"College" text
)
|
SELECT "College" FROM table_45975 WHERE "Overall" > '226' AND "Pick" < '12' AND "Position" = 'ot'
|
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return me the homepage of ' University of Michigan ' .
|
CREATE TABLE domain (
did int,
name varchar
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CREATE TABLE publication (
abstract varchar,
cid int,
citation_num int,
jid int,
pid int,
reference_num int,
title varchar,
year int
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CREATE TABLE keyword (
keyword varchar,
kid int
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CREATE TABLE conference (
cid int,
homepage varchar,
name varchar
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CREATE TABLE publication_keyword (
kid int,
pid int
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CREATE TABLE domain_author (
aid int,
did int
)
CREATE TABLE organization (
continent varchar,
homepage varchar,
name varchar,
oid int
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CREATE TABLE author (
aid int,
homepage varchar,
name varchar,
oid int
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CREATE TABLE writes (
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pid int
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CREATE TABLE journal (
homepage varchar,
jid int,
name varchar
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CREATE TABLE cite (
cited int,
citing int
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CREATE TABLE domain_conference (
cid int,
did int
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CREATE TABLE domain_publication (
did int,
pid int
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CREATE TABLE domain_keyword (
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kid int
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CREATE TABLE domain_journal (
did int,
jid int
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|
SELECT homepage FROM organization WHERE name = 'University of Michigan'
|
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How many wins are associated with 20 points and over 1 podium?
|
CREATE TABLE table_name_12 (
wins INTEGER,
points VARCHAR,
podiums VARCHAR
)
|
SELECT SUM(wins) FROM table_name_12 WHERE points = 20 AND podiums > 1
|
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What are the colors for the division 2 team with the nickname, the seahawks?
|
CREATE TABLE table_name_74 (
colors VARCHAR,
division VARCHAR,
nickname VARCHAR
)
|
SELECT colors FROM table_name_74 WHERE division = "division 2" AND nickname = "seahawks"
|
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What were the sales for Dj Casper when he was in a position lower than 13?
|
CREATE TABLE table_name_51 (sales VARCHAR, position VARCHAR, artist VARCHAR)
|
SELECT sales FROM table_name_51 WHERE position < 13 AND artist = "dj casper"
|
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count the number of patients whose admission type is newborn and days of hospital stay is greater than 17?
|
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
)
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 WHERE demographic.admission_type = "NEWBORN" AND demographic.days_stay > "17"
|
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What is the nationality of lane 4?
|
CREATE TABLE table_name_78 (
nationality VARCHAR,
lane VARCHAR
)
|
SELECT nationality FROM table_name_78 WHERE lane = 4
|
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Which Features have Yes listed under Datacenter?
|
CREATE TABLE table_name_18 (features VARCHAR, datacenter VARCHAR)
|
SELECT features FROM table_name_18 WHERE datacenter = "yes"
|
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give me the number of patients whose diagnoses icd9 code is 30390 and drug route is pb?
|
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 diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.icd9_code = "30390" AND prescriptions.route = "PB"
|
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Who was the visitor when phoenix was at home?
|
CREATE TABLE table_name_35 (visitor VARCHAR, home VARCHAR)
|
SELECT visitor FROM table_name_35 WHERE home = "phoenix"
|
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what is the least core diameter -lrb- in -rrb- ?
|
CREATE TABLE table_204_828 (
id number,
"whitworth size (in)" number,
"core diameter (in)" number,
"threads per inch" number,
"pitch (in)" number,
"tapping drill size" text
)
|
SELECT MIN("core diameter (in)") FROM table_204_828
|
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On what date/s has attendance been 45010?
|
CREATE TABLE table_21436373_5 (date_year VARCHAR, attendance VARCHAR)
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SELECT date_year FROM table_21436373_5 WHERE attendance = 45010
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What are the venues prior to 2005 in the World Class category that resulted in a bronze?
|
CREATE TABLE table_67980 (
"Competition" text,
"Venue" text,
"Year" real,
"Category" text,
"Result" text
)
|
SELECT "Venue" FROM table_67980 WHERE "Year" < '2005' AND "Category" = 'world class' AND "Result" = 'bronze'
|
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give me the number of patients with procedure icd9 code 3799 who were admitted on an urgent basis.
|
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.admission_type = "URGENT" AND procedures.icd9_code = "3799"
|
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what name was on the year 2012
|
CREATE TABLE table_name_22 (name VARCHAR, year VARCHAR, __est_ VARCHAR)
|
SELECT name FROM table_name_22 WHERE year * __est_ = "2012"
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Stacked bar chart of the number of country for with each Competition_type in each country, sort by the the number of country in descending.
|
CREATE TABLE club (
Club_ID int,
name text,
Region text,
Start_year text
)
CREATE TABLE player (
Player_ID int,
name text,
Position text,
Club_ID int,
Apps real,
Tries real,
Goals text,
Points real
)
CREATE TABLE competition (
Competition_ID int,
Year real,
Competition_type text,
Country text
)
CREATE TABLE club_rank (
Rank real,
Club_ID int,
Gold real,
Silver real,
Bronze real,
Total real
)
CREATE TABLE competition_result (
Competition_ID int,
Club_ID_1 int,
Club_ID_2 int,
Score text
)
|
SELECT Country, COUNT(Country) FROM competition GROUP BY Competition_type, Country ORDER BY COUNT(Country) DESC
|
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what is the total of named trains ?
|
CREATE TABLE table_204_336 (
id number,
"operators" text,
"named trains" text,
"destination" text,
"year begun" text,
"year discontinued" number
)
|
SELECT COUNT("named trains") FROM table_204_336
|
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Which battle of the planets where ova (harmony gold dub) is solaris?
|
CREATE TABLE table_21753 (
"Gatchaman" text,
"Battle of the Planets" text,
"G-Force" text,
"Eagle Riders" text,
"OVA (Harmony Gold Dub)" text
)
|
SELECT "Battle of the Planets" FROM table_21753 WHERE "OVA (Harmony Gold Dub)" = 'Solaris'
|
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What is the sum of the goals with less than 30 points, a position less than 10, and more than 57 goals against?
|
CREATE TABLE table_name_14 (
goals_for INTEGER,
goals_against VARCHAR,
points VARCHAR,
position VARCHAR
)
|
SELECT SUM(goals_for) FROM table_name_14 WHERE points < 30 AND position < 10 AND goals_against > 57
|
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What is Party, when District is less than 10, when Took Office is less than 1991, and when Home Town is Mount Pleasant?
|
CREATE TABLE table_name_22 (
party VARCHAR,
home_town VARCHAR,
district VARCHAR,
took_office VARCHAR
)
|
SELECT party FROM table_name_22 WHERE district < 10 AND took_office < 1991 AND home_town = "mount pleasant"
|
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Name the speed for andy reynolds
|
CREATE TABLE table_name_41 (speed VARCHAR, rider VARCHAR)
|
SELECT speed FROM table_name_41 WHERE rider = "andy reynolds"
|
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What fund has a fund return of 19.8% / 13.7%?
|
CREATE TABLE table_56083 (
"Fund" text,
"Manager" text,
"Fund Period" text,
"Fund Return" text,
"Market return" text
)
|
SELECT "Fund" FROM table_56083 WHERE "Fund Return" = '19.8% / 13.7%'
|
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Where was game number 55 played?
|
CREATE TABLE table_23248940_9 (
location_attendance VARCHAR,
game VARCHAR
)
|
SELECT location_attendance FROM table_23248940_9 WHERE game = 55
|
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Which Combination classification has a Stage of 14?
|
CREATE TABLE table_6001 (
"Stage" text,
"Winner" text,
"General classification" text,
"Points classification" text,
"Mountains classification" text,
"Combination classification" text,
"Team classification" text
)
|
SELECT "Combination classification" FROM table_6001 WHERE "Stage" = '14'
|
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-100,
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-100,
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-100,
-100,
-100
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Show the number of documents created in each day and bin document date by year interval and group by document type with a group line chart, and list x-axis in descending order.
|
CREATE TABLE Accounts (
Account_ID INTEGER,
Statement_ID INTEGER,
Account_Details VARCHAR(255)
)
CREATE TABLE Documents_with_Expenses (
Document_ID INTEGER,
Budget_Type_Code CHAR(15),
Document_Details VARCHAR(255)
)
CREATE TABLE Ref_Budget_Codes (
Budget_Type_Code CHAR(15),
Budget_Type_Description VARCHAR(255)
)
CREATE TABLE Ref_Document_Types (
Document_Type_Code CHAR(15),
Document_Type_Name VARCHAR(255),
Document_Type_Description VARCHAR(255)
)
CREATE TABLE Projects (
Project_ID INTEGER,
Project_Details VARCHAR(255)
)
CREATE TABLE Statements (
Statement_ID INTEGER,
Statement_Details VARCHAR(255)
)
CREATE TABLE Documents (
Document_ID INTEGER,
Document_Type_Code CHAR(15),
Project_ID INTEGER,
Document_Date DATETIME,
Document_Name VARCHAR(255),
Document_Description VARCHAR(255),
Other_Details VARCHAR(255)
)
|
SELECT Document_Date, COUNT(Document_Date) FROM Ref_Document_Types AS T1 JOIN Documents AS T2 ON T1.Document_Type_Code = T2.Document_Type_Code GROUP BY Document_Type_Name ORDER BY Document_Date DESC
|
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How many viewers in millions did the Alison McDonald episode get?
|
CREATE TABLE table_26961951_4 (
us_viewers__million_ VARCHAR,
written_by VARCHAR
)
|
SELECT us_viewers__million_ FROM table_26961951_4 WHERE written_by = "Alison McDonald"
|
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give me the number of patients whose marital status is married and lab test chart time is 2165-06-23 22:30:00?
|
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
)
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 lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.marital_status = "MARRIED" AND lab.charttime = "2165-06-23 22:30:00"
|
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how many patients have born before the year 2111 with an item id 51439?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.dob_year < "2111" AND lab.itemid = "51439"
|
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Which Finish has a To par of 1, and a Year(s) won of 1955?
|
CREATE TABLE table_name_61 (
finish VARCHAR,
to_par VARCHAR,
year_s__won VARCHAR
)
|
SELECT finish FROM table_name_61 WHERE to_par = "–1" AND year_s__won = "1955"
|
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What is the total for the person with 73.28 bodyweight and fewer snatches than 75?
|
CREATE TABLE table_name_22 (
total__kg_ INTEGER,
bodyweight VARCHAR,
snatch VARCHAR
)
|
SELECT AVG(total__kg_) FROM table_name_22 WHERE bodyweight = 73.28 AND snatch < 75
|
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In which year did John Force win Funny Car and Mike Dunn win in Top Fuel?
|
CREATE TABLE table_45049 (
"Year" real,
"Top Fuel" text,
"Funny Car" text,
"Pro Stock" text,
"Pro Stock Motorcycle" text
)
|
SELECT "Year" FROM table_45049 WHERE "Funny Car" = 'john force' AND "Top Fuel" = 'mike dunn'
|
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Find the team of the player of the highest age.
|
CREATE TABLE player (
Team VARCHAR,
Age VARCHAR
)
|
SELECT Team FROM player ORDER BY Age DESC LIMIT 1
|
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What date were the high assists rondo (5) and the high rebounds rondo (10)?
|
CREATE TABLE table_name_18 (
date VARCHAR,
high_assists VARCHAR,
high_rebounds VARCHAR
)
|
SELECT date FROM table_name_18 WHERE high_assists = "rondo (5)" AND high_rebounds = "rondo (10)"
|
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How many weeks are associated with Season 3 spring 2008?
|
CREATE TABLE table_name_74 (
_number_of_weeks VARCHAR,
season VARCHAR
)
|
SELECT COUNT(_number_of_weeks) FROM table_name_74 WHERE season = "3 – spring 2008"
|
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male or female between the ages of 18 and 80 years discharged after hospital admission from general medicine and surgery services ( non _ intensive care unit setting ) .
|
CREATE TABLE table_train_274 (
"id" int,
"gender" string,
"serum_bicarbonate" int,
"randomization_bg" int,
"positive_serum" bool,
"diabetic_ketoacidosis" bool,
"urinary_ketones" bool,
"diastolic_blood_pressure_dbp" int,
"heart_rate" int,
"body_mass_index_bmi" float,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_274 WHERE (gender = 'male' OR gender = 'female') AND (age >= 18 AND age <= 80)
|
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What is the greatest Total population (1000) from Sweden and born in a non EU state (1000) less than 859?
|
CREATE TABLE table_14535 (
"Country" text,
"Total population (1000)" real,
"Total Foreign-born (1000)" real,
"Born in other EU state (1000)" real,
"Born in a non EU state (1000)" real
)
|
SELECT MAX("Total population (1000)") FROM table_14535 WHERE "Country" = 'sweden' AND "Born in a non EU state (1000)" < '859'
|
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How many losses for the team atl. colegiales?
|
CREATE TABLE table_18594107_2 (
losses INTEGER,
team VARCHAR
)
|
SELECT MAX(losses) FROM table_18594107_2 WHERE team = "Atl. Colegiales"
|
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Which Remixed by has a Version of album version, and an Album of les mots?
|
CREATE TABLE table_name_80 (remixed_by VARCHAR, version VARCHAR, album VARCHAR)
|
SELECT remixed_by FROM table_name_80 WHERE version = "album version" AND album = "les mots"
|
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What competition has 17-1 as the result?
|
CREATE TABLE table_name_38 (competition VARCHAR, result VARCHAR)
|
SELECT competition FROM table_name_38 WHERE result = "17-1"
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What is the 1st Edition for Episode 11?
|
CREATE TABLE table_56142 (
"Episode" text,
"1st edition" text,
"2nd edition" text,
"3rd edition" text,
"4th edition" text
)
|
SELECT "1st edition" FROM table_56142 WHERE "Episode" = '11'
|
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Which Tries has a Goal smaller than 0?
|
CREATE TABLE table_name_5 (tries INTEGER, goals INTEGER)
|
SELECT MIN(tries) FROM table_name_5 WHERE goals < 0
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How many game sites are there where the team record is 1 7?
|
CREATE TABLE table_25380472_2 (
game_site VARCHAR,
team_record VARCHAR
)
|
SELECT COUNT(game_site) FROM table_25380472_2 WHERE team_record = "1–7"
|
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give the number of patients whose ethnicity is hispanic or latino and they have been given the drug sarna lotion.
|
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
)
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.ethnicity = "HISPANIC OR LATINO" AND prescriptions.drug = "Sarna Lotion"
|
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how many male patients had the diagnosis long title microscopic hematuria?
|
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
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.gender = "M" AND diagnoses.long_title = "Microscopic hematuria"
|
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What is the high cap total for a lock with the vicenza rangers?
|
CREATE TABLE table_name_55 (
caps INTEGER,
position VARCHAR,
club_province VARCHAR
)
|
SELECT MAX(caps) FROM table_name_55 WHERE position = "lock" AND club_province = "vicenza rangers"
|
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Find the checking balance of the accounts whose savings balance is higher than the average savings balance.
|
CREATE TABLE accounts (custid VARCHAR, name VARCHAR); CREATE TABLE checking (balance INTEGER, custid VARCHAR); CREATE TABLE savings (balance INTEGER, custid VARCHAR); CREATE TABLE savings (balance INTEGER)
|
SELECT T2.balance FROM accounts AS T1 JOIN checking AS T2 ON T1.custid = T2.custid WHERE T1.name IN (SELECT T1.name FROM accounts AS T1 JOIN savings AS T2 ON T1.custid = T2.custid WHERE T2.balance > (SELECT AVG(balance) FROM savings))
|
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Which format is released on May 27, 2009?
|
CREATE TABLE table_name_77 (format VARCHAR, date VARCHAR)
|
SELECT format FROM table_name_77 WHERE date = "may 27, 2009"
|
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Who did they lose to on May 20?
|
CREATE TABLE table_15609 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Record" text
)
|
SELECT "Loss" FROM table_15609 WHERE "Date" = 'may 20'
|
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count the number of patients less than 49 years who have diagnoses icd9 code 29590.
|
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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id WHERE demographic.age < "49" AND diagnoses.icd9_code = "29590"
|
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What record has detroit as the home and mtl. maroons as the visitor?
|
CREATE TABLE table_74955 (
"Date" text,
"Visitor" text,
"Score" text,
"Home" text,
"Record" text
)
|
SELECT "Record" FROM table_74955 WHERE "Home" = 'detroit' AND "Visitor" = 'mtl. maroons'
|
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Name the date that is a cd
|
CREATE TABLE table_name_81 (
date VARCHAR,
format VARCHAR
)
|
SELECT date FROM table_name_81 WHERE format = "cd"
|
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What Type of Tunnel is the Downhill Tunnel?
|
CREATE TABLE table_name_78 (type VARCHAR, tunnel VARCHAR)
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SELECT type FROM table_name_78 WHERE tunnel = "downhill"
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name the film from 2008 under the publisher dc comics that grossed over $ 10,000,000 and was distributed by lionsgate .
|
CREATE TABLE table_203_79 (
id number,
"year" number,
"film" text,
"publisher" text,
"director" text,
"distributor" text,
"worldwide gross" text,
"notes" text
)
|
SELECT "film" FROM table_203_79 WHERE "year" = 2008 AND "publisher" = 'dc comics' AND "worldwide gross" > 10000000 AND "distributor" = 'lionsgate'
|
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What players attended missouri?
|
CREATE TABLE table_16494599_3 (
player VARCHAR,
school_club_team VARCHAR
)
|
SELECT player FROM table_16494599_3 WHERE school_club_team = "Missouri"
|
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Who has a religion of and more than 1853 votes?
|
CREATE TABLE table_name_66 (
candidate_name VARCHAR,
votes VARCHAR,
religion VARCHAR
)
|
SELECT candidate_name FROM table_name_66 WHERE votes > 1853 AND religion = "☪"
|
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count the number of patients whose drug code is vanc250l?
|
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 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
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE prescriptions.formulary_drug_cd = "VANC250L"
|
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what date saw the chicago bears lose in green bay earlier than 1931?
|
CREATE TABLE table_name_12 (
date VARCHAR,
year VARCHAR,
loser VARCHAR,
location VARCHAR
)
|
SELECT date FROM table_name_12 WHERE loser = "chicago bears" AND location = "green bay" AND year < 1931
|
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-100,
-100,
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-100,
-100,
-100
] |
What is Year(s) Won, when To Par is greater than 13?
|
CREATE TABLE table_name_24 (year_s__won VARCHAR, to_par INTEGER)
|
SELECT year_s__won FROM table_name_24 WHERE to_par > 13
|
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32100,
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[
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215,
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210,
106,
21680,
953,
834,
4350,
834,
2266,
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427,
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] |
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