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A bar chart for what are the number of the category of music festivals with result 'Awarded'?, and I want to order by the X-axis from high to low. | CREATE TABLE artist (
Artist_ID int,
Artist text,
Age int,
Famous_Title text,
Famous_Release_date text
)
CREATE TABLE volume (
Volume_ID int,
Volume_Issue text,
Issue_Date text,
Weeks_on_Top real,
Song text,
Artist_ID int
)
CREATE TABLE music_festival (
ID int,
Music_Festival text,
Date_of_ceremony text,
Category text,
Volume int,
Result text
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What was the nickname Established in 2002? | CREATE TABLE table_16432543_3 (nickname VARCHAR, established VARCHAR) | SELECT nickname FROM table_16432543_3 WHERE established = 2002 | [
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How many classes exist for each school? | CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade text
)
CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE professor (
emp_num number,
dept_code text,
prof_office text,
prof_extension text,
prof_high_degree text
)
CREATE TABLE employee (
emp_num number,
emp_lname text,
emp_fname text,
emp_initial text,
emp_jobcode text,
emp_hiredate time,
emp_dob time
)
CREATE TABLE class (
class_code text,
crs_code text,
class_section text,
class_time text,
class_room text,
prof_num number
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
)
CREATE TABLE student (
stu_num number,
stu_lname text,
stu_fname text,
stu_init text,
stu_dob time,
stu_hrs number,
stu_class text,
stu_gpa number,
stu_transfer number,
dept_code text,
stu_phone text,
prof_num number
) | SELECT COUNT(*), T3.school_code FROM class AS T1 JOIN course AS T2 ON T1.crs_code = T2.crs_code JOIN department AS T3 ON T2.dept_code = T3.dept_code GROUP BY T3.school_code | [
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In what place(s) did the player(s) with a total less than 282 finish? | CREATE TABLE table_name_33 (finish VARCHAR, total INTEGER) | SELECT finish FROM table_name_33 WHERE total < 282 | [
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Show the name for regions and the number of storms for each region, and I want to rank by the y axis in desc please. | CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
) | SELECT Region_name, COUNT(*) FROM region AS T1 JOIN affected_region AS T2 ON T1.Region_id = T2.Region_id GROUP BY T1.Region_id ORDER BY COUNT(*) DESC | [
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What value in 2013 corresponds to Grand Slam Tournaments in 2012? | CREATE TABLE table_name_38 (
Id VARCHAR
) | SELECT 2013 FROM table_name_38 WHERE 2012 = "grand slam tournaments" | [
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were there more names ranked 11th or 6th ? | CREATE TABLE table_204_741 (
id number,
"rank" number,
"name" text,
"nationality" text,
"1,62" text,
"1,67" text,
"1,72" text,
"1,75" text,
"notes" text
) | SELECT "rank" FROM table_204_741 WHERE "rank" IN (11, 6) GROUP BY "rank" ORDER BY COUNT("name") DESC LIMIT 1 | [
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what is the pole position for france? | CREATE TABLE table_31299 (
"Round" real,
"Country" text,
"Circuit" text,
"Date" text,
"Pole Position" text,
"Fastest Lap" text,
"Winning Rider" text,
"Winning Team" text,
"Report" text
) | SELECT "Pole Position" FROM table_31299 WHERE "Country" = 'France' | [
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What is the Years for Jazz Club at Oregon State? | CREATE TABLE table_name_46 (years_for_jazz VARCHAR, school_club_team VARCHAR) | SELECT years_for_jazz FROM table_name_46 WHERE school_club_team = "oregon state" | [
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Age VARCHAR
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Who was the Runner(s)-up on the Date 4 Oct 2009? | CREATE TABLE table_53826 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
) | SELECT "Runner(s)-up" FROM table_53826 WHERE "Date" = '4 oct 2009' | [
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who co-wrote Season 2, Episode 3? | CREATE TABLE table_17901155_3 (
written_by VARCHAR,
no_in_season VARCHAR
) | SELECT written_by FROM table_17901155_3 WHERE no_in_season = 3 | [
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which results were listed the most under the playoffs column ? | CREATE TABLE table_203_521 (
id number,
"year" number,
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"regular season" text,
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What is Score, when Player is 'Deane Beman'? | CREATE TABLE table_43882 (
"Place" text,
"Player" text,
"Country" text,
"Score" text,
"To par" text
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ID int,
Result text,
Swimmer_ID int,
Event_ID int
)
CREATE TABLE swimmer (
ID int,
name text,
Nationality text,
meter_100 real,
meter_200 text,
meter_300 text,
meter_400 text,
meter_500 text,
meter_600 text,
meter_700 text,
Time text
)
CREATE TABLE stadium (
ID int,
name text,
Capacity int,
City text,
Country text,
Opening_year int
)
CREATE TABLE event (
ID int,
Name text,
Stadium_ID int,
Year text
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a current diagnosis of acute severe, or unstable asthmatic condition ( e.g., severe chronic obstructive pulmonary disease ( copd ) | CREATE TABLE table_train_121 (
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"depression" bool,
"suicidality" bool,
"neurodegenerative_disease" bool,
"unstable_asthmatic_condition" bool,
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"alcohol_abuse" bool,
"parkinson_disease" bool,
"drug_abuse" bool,
"lewy_body_dementia" bool,
"coagulopathy" bool,
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) | SELECT * FROM table_train_121 WHERE acute_severe = 1 OR (unstable_asthmatic_condition = 1 OR chronic_obstructive_pulmonary_disease_copd = 1) | [
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In 1912 when the U.S used sapphire, what was the Hindu birthstone? | CREATE TABLE table_62331 (
"Month" text,
"15th- 20th century" text,
"U.S. (1912)" text,
"U.S. (2013)" text,
"Britain (2013)" text,
"Hindu" text
) | SELECT "Hindu" FROM table_62331 WHERE "U.S. (1912)" = 'sapphire' | [
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"MLB season" text,
"Team season" text,
"League" text,
"Division" text,
"Finish" text,
"Wins" text,
"Losses" text,
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Find the total capacity of dorms for each gender with a pie chart. | CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Dorm_amenity (
amenid INTEGER,
amenity_name VARCHAR(25)
)
CREATE TABLE Has_amenity (
dormid INTEGER,
amenid INTEGER
)
CREATE TABLE Lives_in (
stuid INTEGER,
dormid INTEGER,
room_number INTEGER
)
CREATE TABLE Dorm (
dormid INTEGER,
dorm_name VARCHAR(20),
student_capacity INTEGER,
gender VARCHAR(1)
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What was the partial thromboplastin time for factor x deficiency as seen in amyloid purpura | CREATE TABLE table_1099080_1 (
partial_thromboplastin_time VARCHAR,
condition VARCHAR
) | SELECT partial_thromboplastin_time FROM table_1099080_1 WHERE condition = "Factor X deficiency as seen in amyloid purpura" | [
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On which circuit was the lites 1 race one winning team #66 Gunnar Racing? | CREATE TABLE table_26638600_3 (circuit VARCHAR, lites_1_race_one_winning_team VARCHAR) | SELECT circuit FROM table_26638600_3 WHERE lites_1_race_one_winning_team = "#66 Gunnar Racing" | [
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lau nim yat and giovane alves de silva where both transferred to which team ? | CREATE TABLE table_204_968 (
id number,
"squad #" number,
"position" text,
"player" text,
"transferred to" text,
"fee" text,
"date" text
) | SELECT "transferred to" FROM table_204_968 WHERE "player" = 'lau nim yat' | [
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WHAT IS THE BIRTH DATE WITH A DEATH OF OCTOBER 1389? | CREATE TABLE table_name_2 (
birth VARCHAR,
death VARCHAR
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What is the total number of byes when the wins were 9? | CREATE TABLE table_name_59 (
byes VARCHAR,
wins VARCHAR
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How many teams from the Atlantic 10 conference made it to the Elite Eight? | CREATE TABLE table_name_47 (
elite_eight VARCHAR,
conference VARCHAR
) | SELECT elite_eight FROM table_name_47 WHERE conference = "atlantic 10" | [
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Which Year(s) of Manufacture has a Quantity larger than 60, and a Number(s) of 7001 7165? | CREATE TABLE table_name_49 (
year_s__of_manufacture VARCHAR,
quantity VARCHAR,
number_s_ VARCHAR
) | SELECT year_s__of_manufacture FROM table_name_49 WHERE quantity > 60 AND number_s_ = "7001–7165" | [
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What was the position in the season when the average start is 9.2? | CREATE TABLE table_1637041_6 (
position VARCHAR,
avg_start VARCHAR
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When Hamilton Academical is the Opponent, what is the total Attendance? | CREATE TABLE table_name_26 (attendance VARCHAR, opponent VARCHAR) | SELECT COUNT(attendance) FROM table_name_26 WHERE opponent = "hamilton academical" | [
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percent_no VARCHAR
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Which club was originally named hapoel katamon jerusalem f.c.? | CREATE TABLE table_26218124_1 (original_club VARCHAR, name VARCHAR) | SELECT original_club FROM table_26218124_1 WHERE name = "Hapoel Katamon Jerusalem F.C." | [
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Who performed with Tina Parekh? | CREATE TABLE table_18278508_2 (
main_contestant VARCHAR,
co_contestant__yaar_vs_pyaar_ VARCHAR
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what is diagnoses long title and procedure long title of subject id 32418? | 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
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
) | SELECT diagnoses.long_title, procedures.long_title FROM diagnoses INNER JOIN procedures ON diagnoses.hadm_id = procedures.hadm_id WHERE diagnoses.subject_id = "32418" | [
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date VARCHAR
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"Late Old English (Anglian)" text,
"Early Middle English" text,
"Late Middle English" text,
"Early Modern English" text,
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"Example" text
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player VARCHAR,
original_nfl_team VARCHAR
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what is the implied probability of 8 = 23 + 0 ? | CREATE TABLE table_200_41 (
id number,
"number" text,
"encoding" text,
"implied probability" number
) | SELECT "implied probability" FROM table_200_41 WHERE "number" = '8 = 23 + 0' | [
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What is every origin for the destination of Manchester? | CREATE TABLE table_4272 (
"Route Number" real,
"Origin" text,
"Intermediate stops" text,
"Destination" text,
"Provider" text
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How many lanes does Australia have with a reaction smaller than 0.138? | CREATE TABLE table_name_55 (
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nationality VARCHAR,
reaction VARCHAR
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Who are all the opponents of Slovakia? | CREATE TABLE table_16741821_9 (opponents VARCHAR, against VARCHAR) | SELECT opponents FROM table_16741821_9 WHERE against = "Slovakia" | [
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"Outcome" text,
"Date" text,
"Tournament" text,
"Surface" text,
"Partner" text,
"Opponents" text,
"Score" text
) | SELECT "Score" FROM table_37556 WHERE "Date" = '13 april 1997' | [
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"Week" real,
"Date" text,
"Opponent" text,
"Location" text,
"Final Score" text,
"Attendance" real,
"Record" text
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What are the instruments are used in the song 'Le Pop'? | CREATE TABLE tracklists (
albumid number,
position number,
songid number
)
CREATE TABLE vocals (
songid number,
bandmate number,
type text
)
CREATE TABLE albums (
aid number,
title text,
year number,
label text,
type text
)
CREATE TABLE instruments (
songid number,
bandmateid number,
instrument text
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CREATE TABLE songs (
songid number,
title text
)
CREATE TABLE band (
id number,
firstname text,
lastname text
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CREATE TABLE performance (
songid number,
bandmate number,
stageposition text
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How many hectars of land is in Kaxholmen? | CREATE TABLE table_16796625_1 (
land_area__hectares_ VARCHAR,
urban_area__locality_ VARCHAR
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Which Rank points has a Score points of olympic silver medalist? | CREATE TABLE table_name_42 (rank_points VARCHAR, score_points VARCHAR) | SELECT rank_points FROM table_name_42 WHERE score_points = "olympic silver medalist" | [
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How many female Professors do we have? | CREATE TABLE student (
stuid number,
lname text,
fname text,
age number,
sex text,
major number,
advisor number,
city_code text
)
CREATE TABLE participates_in (
stuid number,
actid number
)
CREATE TABLE faculty_participates_in (
facid number,
actid number
)
CREATE TABLE faculty (
facid number,
lname text,
fname text,
rank text,
sex text,
phone number,
room text,
building text
)
CREATE TABLE activity (
actid number,
activity_name text
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how many of the patients had a lab test for bands? | CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
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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
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CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
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What is the Depart de la main gauche of the do Mode? | CREATE TABLE table_76894 (
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"D\u00e9part de la main gauche" text,
"Accord du 1st string" text,
"2nd string" text,
"3rd string" text
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how many patients aged below 74 years had the procedure short title form cutan ileoureterost? | 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 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 procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.age < "74" AND procedures.short_title = "Form cutan ileoureterost" | [
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What is the average round for draft pick #49 from Notre Dame? | CREATE TABLE table_39715 (
"Round" real,
"Pick #" text,
"Player" text,
"Position" text,
"College" text,
"Tenure w/ Steelers" text
) | SELECT AVG("Round") FROM table_39715 WHERE "College" = 'notre dame' AND "Pick #" = '49' | [
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How many years have an Opponent in the final of welby van horn? | CREATE TABLE table_name_74 (year INTEGER, opponent_in_the_final VARCHAR) | SELECT SUM(year) FROM table_name_74 WHERE opponent_in_the_final = "welby van horn" | [
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local_name VARCHAR
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what is the airport name at the top of the list ? | CREATE TABLE table_204_139 (
id number,
"community" text,
"airport name" text,
"type" text,
"coordinates" text
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what is the total number of immigrants from africa ? | CREATE TABLE table_203_117 (
id number,
"region/country" text,
"1882-\n1918" number,
"1919-\n1948" number,
"1948-\n1951" number,
"1952-\n1960" number,
"1961-\n1971" number,
"1972-\n1979" number,
"1980-\n1989" number,
"1990-\n2001" number,
"2002-\n2010" number,
"2011-\n2013" number,
"total" number
) | SELECT "region/country" FROM table_203_117 WHERE "region/country" = 'africa' | [
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What is the average pick for Florida State? | CREATE TABLE table_name_70 (
pick INTEGER,
school_club_team VARCHAR
) | SELECT AVG(pick) FROM table_name_70 WHERE school_club_team = "florida state" | [
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project text
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CREATE TABLE projects (
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For those employees who was hired before 2002-06-21, show me about the change of salary over hire_date in a line chart, and could you rank by the X-axis from low to high? | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
)
CREATE TABLE locations (
LOCATION_ID decimal(4,0),
STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
) | SELECT HIRE_DATE, SALARY FROM employees WHERE HIRE_DATE < '2002-06-21' ORDER BY HIRE_DATE | [
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How many lanes have a Nationality of united states, and a Name of aaron peirsol? | CREATE TABLE table_name_28 (
lane VARCHAR,
nationality VARCHAR,
name VARCHAR
) | SELECT COUNT(lane) FROM table_name_28 WHERE nationality = "united states" AND name = "aaron peirsol" | [
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opponents VARCHAR
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theme VARCHAR,
original_artist VARCHAR
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Which Series are on september 15, 2007? | CREATE TABLE table_34351 (
"Date" text,
"Site" text,
"Sport" text,
"Winning team" text,
"Series" text
) | SELECT "Series" FROM table_34351 WHERE "Date" = 'september 15, 2007' | [
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Count the number of captains that have each rank by a bar chart. | CREATE TABLE captain (
Captain_ID int,
Name text,
Ship_ID int,
age text,
Class text,
Rank text
)
CREATE TABLE Ship (
Ship_ID int,
Name text,
Type text,
Built_Year real,
Class text,
Flag text
) | SELECT Rank, COUNT(*) FROM captain GROUP BY Rank | [
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What is the Record when Evangelista Cyborg was the opponent? | CREATE TABLE table_47133 (
"Res." text,
"Record" text,
"Opponent" text,
"Method" text,
"Round" real,
"Time" text,
"Location" text
) | SELECT "Record" FROM table_47133 WHERE "Opponent" = 'evangelista cyborg' | [
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"Institution" text,
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"Affiliation" text,
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When did Peter Butler leave his team? | CREATE TABLE table_name_12 (date_outgoing VARCHAR, outgoing_manager VARCHAR) | SELECT date_outgoing FROM table_name_12 WHERE outgoing_manager = "peter butler" | [
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give me the number of patients whose admission type is elective and lab test name is epithelial cells? | 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
)
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admission_type = "ELECTIVE" AND lab.label = "Epithelial Cells" | [
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wicket VARCHAR,
fielding_team VARCHAR
) | SELECT wicket FROM table_name_73 WHERE fielding_team = "sri lanka" | [
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How many students play each sport Show bar chart, and sort bar in ascending order. | CREATE TABLE SportsInfo (
StuID INTEGER,
SportName VARCHAR(32),
HoursPerWeek INTEGER,
GamesPlayed INTEGER,
OnScholarship VARCHAR(1)
)
CREATE TABLE Student (
StuID INTEGER,
LName VARCHAR(12),
Fname VARCHAR(12),
Age INTEGER,
Sex VARCHAR(1),
Major INTEGER,
Advisor INTEGER,
city_code VARCHAR(3)
)
CREATE TABLE Plays_Games (
StuID INTEGER,
GameID INTEGER,
Hours_Played INTEGER
)
CREATE TABLE Video_Games (
GameID INTEGER,
GName VARCHAR(40),
GType VARCHAR(40)
) | SELECT SportName, COUNT(*) FROM SportsInfo GROUP BY SportName ORDER BY SportName | [
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What is the description of the color used by least products? | CREATE TABLE ref_colors (
color_description VARCHAR,
color_code VARCHAR
)
CREATE TABLE products (
color_code VARCHAR
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Which nationality has a Ship of minteh? | CREATE TABLE table_name_62 (
nationality VARCHAR,
ship VARCHAR
) | SELECT nationality FROM table_name_62 WHERE ship = "minteh" | [
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Which UK Base has an airborne unit of Pathfinders? | CREATE TABLE table_55333 (
"Serial" real,
"Airborne Unit" text,
"Troop carrier Group" text,
"# of C-47s" real,
"UK Base" text,
"Drop Zone" text,
"Drop Zone Time" real
) | SELECT "UK Base" FROM table_55333 WHERE "Airborne Unit" = 'pathfinders' | [
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953,
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"Date" text,
"Venue" text,
"Opponents" text,
"Score" text,
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How many floors were there with a building rank of less than 3 and a height of 300 / 985 m (ft)? | CREATE TABLE table_name_3 (floors VARCHAR, rank VARCHAR, height VARCHAR, _m__ft_ VARCHAR) | SELECT COUNT(floors) FROM table_name_3 WHERE height * _m__ft_ = "300 / 985" AND rank < 3 | [
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"Outcome" text,
"Year" real,
"Championship" text,
"Opponent in the final" text,
"Score (l) = score in legs, (s) = score in sets." text
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"County" text,
"Kerry%" text,
"Kerry#" real,
"Bush%" text,
"Bush#" real,
"Others%" text,
"Others#" real
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What was the latest week with a result of l 14-3? | CREATE TABLE table_5717 (
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"Date" text,
"Opponent" text,
"Result" text,
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Which tournament had a playoff with a margin of victory? | CREATE TABLE table_11974 (
"Date" text,
"Tournament" text,
"Winning Score" text,
"Margin of Victory" text,
"Runner-up" text
) | SELECT "Tournament" FROM table_11974 WHERE "Margin of Victory" = 'playoff' | [
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How many totals have 1 for the gold, 12 for the rank, and a sliver greater than 0? | CREATE TABLE table_name_60 (
total VARCHAR,
silver VARCHAR,
gold VARCHAR,
rank VARCHAR
) | SELECT COUNT(total) FROM table_name_60 WHERE gold = 1 AND rank = "12" AND silver > 0 | [
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Give the different hometowns of gymnasts that have a total point score of above 57.5. | CREATE TABLE gymnast (
gymnast_id number,
floor_exercise_points number,
pommel_horse_points number,
rings_points number,
vault_points number,
parallel_bars_points number,
horizontal_bar_points number,
total_points number
)
CREATE TABLE people (
people_id number,
name text,
age number,
height number,
hometown text
) | SELECT DISTINCT T2.hometown FROM gymnast AS T1 JOIN people AS T2 ON T1.gymnast_id = T2.people_id WHERE T1.total_points > 57.5 | [
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For all storms with at least 1 death, compare the number of deaths by name, and I want to order by the names from high to low. | CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
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what is age and icu stay id of subject id 2560? | CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
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CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
) | SELECT demographic.age, prescriptions.icustay_id FROM demographic INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE demographic.subject_id = "2560" | [
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