NATURAL_LANG stringlengths 0 446 | SCHEMA stringlengths 27 2.21k | SQL stringlengths 18 453 | input_ids list | attention_mask list | labels list |
|---|---|---|---|---|---|
What is the total work number of Gowrie with a 0-6-4t type after 1908? | CREATE TABLE table_name_51 (
works_number VARCHAR,
date VARCHAR,
type VARCHAR,
name VARCHAR
) | SELECT COUNT(works_number) FROM table_name_51 WHERE type = "0-6-4t" AND name = "gowrie" AND date > 1908 | [
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What day did Bernhard Langer (2) win? | CREATE TABLE table_15346009_1 (
date VARCHAR,
winner VARCHAR
) | SELECT date FROM table_15346009_1 WHERE winner = "Bernhard Langer (2)" | [
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how many patients are diagnosed with hx of colonic malignancy and have iv route of drug administration? | 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.short_title = "Hx of colonic malignancy" AND prescriptions.route = "IV" | [
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How many were in attendance when they played vs. 12 Stanford? | CREATE TABLE table_name_57 (attendance VARCHAR, opponent_number VARCHAR) | SELECT attendance FROM table_name_57 WHERE opponent_number = "vs. 12 stanford" | [
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If the episode was number 234, what was it's timeslot? | CREATE TABLE table_2639433_4 (
timeslot VARCHAR,
episodes VARCHAR
) | SELECT timeslot FROM table_2639433_4 WHERE episodes = 234 | [
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What is the minimum enrollment for Plainfield? | CREATE TABLE table_23890 (
"School" text,
"Location(s)" text,
"Control" text,
"Type" text,
"Enrollment (2009)" real,
"Founded" real
) | SELECT MIN("Enrollment (2009)") FROM table_23890 WHERE "Location(s)" = 'Plainfield' | [
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What is Injured, when Date is '09.15 Sep. 15'? | CREATE TABLE table_name_98 (
injured VARCHAR,
date VARCHAR
) | SELECT injured FROM table_name_98 WHERE date = "09.15 sep. 15" | [
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Name the number of season for beluga shipping | CREATE TABLE table_3489 (
"No. in series" real,
"No. in season" real,
"Title" text,
"Vessel Type" text,
"Vessel Operator" text,
"Narrated by" text,
"Original air date" real
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What bonus points have 448 as the points against? | CREATE TABLE table_65625 (
"Club" text,
"Total points" text,
"Bonus points" text,
"Match points" text,
"Games" text,
"Drawn" text,
"Lost" text,
"Points for" text,
"Points against" text,
"Diff" text
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What rank did Best Friends receive? | CREATE TABLE table_name_90 (
rank VARCHAR,
title VARCHAR
) | SELECT rank FROM table_name_90 WHERE title = "best friends" | [
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Name the number of regular season for 2007 | CREATE TABLE table_26192 (
"Year" real,
"Division" real,
"League" text,
"Regular Season" text,
"Playoffs" text,
"Open Cup" text
) | SELECT COUNT("Regular Season") FROM table_26192 WHERE "Year" = '2007' | [
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What is the Wins with a Top-25 of 3, and a Top-5 larger than 1? | CREATE TABLE table_name_86 (wins INTEGER, top_25 VARCHAR, top_5 VARCHAR) | SELECT AVG(wins) FROM table_name_86 WHERE top_25 = 3 AND top_5 > 1 | [
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What Category has a Year that's smaller than 2006, has Result of Nominated, and a Title of Cold Feet? | CREATE TABLE table_name_25 (
category VARCHAR,
title VARCHAR,
year VARCHAR,
result VARCHAR
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In which round was Barbara Hawcroft the loser? | CREATE TABLE table_name_84 (round VARCHAR, loser VARCHAR) | SELECT round FROM table_name_84 WHERE loser = "barbara hawcroft" | [
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What is listed under Senior List for Date of Birth (Age When Delisted) of 5 June 1984 (aged 23)? | CREATE TABLE table_name_84 (senior_list VARCHAR, date_of_birth__age_when_delisted_ VARCHAR) | SELECT senior_list FROM table_name_84 WHERE date_of_birth__age_when_delisted_ = "5 june 1984 (aged 23)" | [
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Which Title has a Dance Partner of adele astaire, and Lyrics of ira gershwin, and a Director of felix edwardes? | CREATE TABLE table_name_93 (title VARCHAR, director VARCHAR, dance_partner VARCHAR, lyrics VARCHAR) | SELECT title FROM table_name_93 WHERE dance_partner = "adele astaire" AND lyrics = "ira gershwin" AND director = "felix edwardes" | [
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What was the theme when the original artist was The Beatles? | CREATE TABLE table_15796072_1 (theme VARCHAR, original_artist VARCHAR) | SELECT theme FROM table_15796072_1 WHERE original_artist = "The Beatles" | [
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where was the tournament before the 1982 tournament in philadelphia held ? | CREATE TABLE table_204_638 (
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"year" number,
"tournament" text,
"surface" text,
"round" text,
"winner" text,
"score" text
) | SELECT "tournament" FROM table_204_638 WHERE id = (SELECT id FROM table_204_638 WHERE "year" = 1982 AND "tournament" = 'philadelphia') + 1 | [
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What's the original air date of the episode with production code 2T6719? | CREATE TABLE table_12159115_2 (original_air_date VARCHAR, production_code VARCHAR) | SELECT original_air_date FROM table_12159115_2 WHERE production_code = "2T6719" | [
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For those employees who do not work in departments with managers that have ids between 100 and 200, a bar chart shows the distribution of phone_number and commission_pct , I want to show by the x axis from low to high. | 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 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)
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Which surfaces have the final score of 6 1, 6 7 (2 7) , 7 6 (7 5) , 7 6 (10 8)? | CREATE TABLE table_25407 (
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"Championship" text,
"Surface" text,
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"Score in the final" text
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Who was the senior US senator in the state whose governor was D. Patrick? | CREATE TABLE table_21531764_2 (
senior_us_senator VARCHAR,
governor VARCHAR
) | SELECT senior_us_senator FROM table_21531764_2 WHERE governor = "D. Patrick" | [
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Which Points have a Record of 12 2 4 1, and a November larger than 22? | CREATE TABLE table_36294 (
"Game" real,
"November" real,
"Opponent" text,
"Score" text,
"Record" text,
"Points" real
) | SELECT AVG("Points") FROM table_36294 WHERE "Record" = '12–2–4–1' AND "November" > '22' | [
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Name the least episode for fibre cement siding | CREATE TABLE table_19918 (
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"Episode" real,
"Segment A" text,
"Segment B" text,
"Segment C" text,
"Segment D" text
) | SELECT MIN("Episode") FROM table_19918 WHERE "Segment D" = 'Fibre Cement Siding' | [
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What was the loss of the game against the Indians when the record was 15-15? | CREATE TABLE table_67070 (
"Date" text,
"Opponent" text,
"Score" text,
"Loss" text,
"Attendance" real,
"Record" text
) | SELECT "Loss" FROM table_67070 WHERE "Opponent" = 'indians' AND "Record" = '15-15' | [
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how many patients whose days of hospital stay is greater than 14 and item id is 51200? | 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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.days_stay > "14" AND lab.itemid = "51200" | [
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what is the filter when the wavelength is 222mm (k-band)? | CREATE TABLE table_28143 (
"Camera" text,
"Filter" text,
"Wavelength" text,
"Total exposure time" text,
"Exposures" real
) | SELECT "Filter" FROM table_28143 WHERE "Wavelength" = '222mm (K-band)' | [
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For those employees who was hired before 2002-06-21, a bar chart shows the distribution of job_id and the sum of employee_id , and group by attribute job_id. | 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)
)
CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
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Show the number of male and female assistant professors 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 Faculty_Participates_in (
FacID INTEGER,
actid INTEGER
)
CREATE TABLE Activity (
actid INTEGER,
activity_name varchar(25)
)
CREATE TABLE Participates_in (
stuid INTEGER,
actid INTEGER
)
CREATE TABLE Faculty (
FacID INTEGER,
Lname VARCHAR(15),
Fname VARCHAR(15),
Rank VARCHAR(15),
Sex VARCHAR(1),
Phone INTEGER,
Room VARCHAR(5),
Building VARCHAR(13)
) | SELECT Sex, COUNT(*) FROM Faculty WHERE Rank = "AsstProf" GROUP BY Sex | [
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Find the count and code of the job has most employees. | CREATE TABLE department (
dept_code text,
dept_name text,
school_code text,
emp_num number,
dept_address text,
dept_extension text
)
CREATE TABLE enroll (
class_code text,
stu_num number,
enroll_grade 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 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
)
CREATE TABLE course (
crs_code text,
dept_code text,
crs_description text,
crs_credit number
) | SELECT emp_jobcode, COUNT(*) FROM employee GROUP BY emp_jobcode ORDER BY COUNT(*) DESC LIMIT 1 | [
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count the number of patients whose ethnicity is white - russian and days of hospital stay is greater than 43? | 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 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 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 WHERE demographic.ethnicity = "WHITE - RUSSIAN" AND demographic.days_stay > "43" | [
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What is the highest number of wins of the team with a position less than 1? | CREATE TABLE table_39948 (
"Position" real,
"Club" text,
"Games played" real,
"Wins" real,
"Draws" real,
"Loses" real,
"Goals scored" real,
"Goals conceded" real,
"Points" real
) | SELECT MAX("Wins") FROM table_39948 WHERE "Position" < '1' | [
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How many items appear in the written by column in episode 3? | CREATE TABLE table_27155243_4 (written_by VARCHAR, episode__number VARCHAR) | SELECT COUNT(written_by) FROM table_27155243_4 WHERE episode__number = 3 | [
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When was the Super B capacity reached when the number of truck loads north was 7735? | CREATE TABLE table_12791809_1 (
super_b_capacity_reached_ VARCHAR,
_citation_needed_ VARCHAR,
number_of_truck_loads_north VARCHAR
) | SELECT super_b_capacity_reached_ AS "_citation_needed_" FROM table_12791809_1 WHERE number_of_truck_loads_north = 7735 | [
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which television show was gauri in for the longest amount of time ? | CREATE TABLE table_203_485 (
id number,
"year" text,
"show" text,
"role" text,
"notes" text
) | SELECT "show" FROM table_203_485 ORDER BY "year" - "year" DESC LIMIT 1 | [
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What is the Date of the 1999 fifa confederations cup? | CREATE TABLE table_40346 (
"Date" text,
"Venue" text,
"Score" text,
"Result" text,
"Competition" text
) | SELECT "Date" FROM table_40346 WHERE "Competition" = '1999 fifa confederations cup' | [
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Name the gender for elsthorpe school | CREATE TABLE table_name_63 (
gender VARCHAR,
name VARCHAR
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How many students are in each department Plot them as bar chart, and show by the total number from low to high please. | CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE takes (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
grade varchar(2)
)
CREATE TABLE section (
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0),
building varchar(15),
room_number varchar(7),
time_slot_id varchar(4)
)
CREATE TABLE teaches (
ID varchar(5),
course_id varchar(8),
sec_id varchar(8),
semester varchar(6),
year numeric(4,0)
)
CREATE TABLE student (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
tot_cred numeric(3,0)
)
CREATE TABLE department (
dept_name varchar(20),
building varchar(15),
budget numeric(12,2)
)
CREATE TABLE advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
CREATE TABLE time_slot (
time_slot_id varchar(4),
day varchar(1),
start_hr numeric(2),
start_min numeric(2),
end_hr numeric(2),
end_min numeric(2)
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what's the permanence of the body where purity is rudra | CREATE TABLE table_72203 (
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"knowledge" text,
"penance" text,
"permanence of the body" text,
"constancy" text,
"purity" text
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What is the average week number of all the matches where less than 22,604 people attended? | CREATE TABLE table_name_75 (
week INTEGER,
attendance INTEGER
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0,
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0,
0... | [
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Return a trend line to show the average amount of payment by each payment day. | CREATE TABLE Claims (
Claim_ID INTEGER,
Policy_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER
)
CREATE TABLE Customers (
Customer_ID INTEGER,
Customer_Details VARCHAR(255)
)
CREATE TABLE Payments (
Payment_ID INTEGER,
Settlement_ID INTEGER,
Payment_Method_Code VARCHAR(255),
Date_Payment_Made DATE,
Amount_Payment INTEGER
)
CREATE TABLE Customer_Policies (
Policy_ID INTEGER,
Customer_ID INTEGER,
Policy_Type_Code CHAR(15),
Start_Date DATE,
End_Date DATE
)
CREATE TABLE Settlements (
Settlement_ID INTEGER,
Claim_ID INTEGER,
Date_Claim_Made DATE,
Date_Claim_Settled DATE,
Amount_Claimed INTEGER,
Amount_Settled INTEGER,
Customer_Policy_ID INTEGER
) | SELECT Date_Payment_Made, AVG(Amount_Payment) FROM Payments GROUP BY Date_Payment_Made ORDER BY Date_Payment_Made | [
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What is in 2002 has a 2001 score 1 0, and a 2000 of 3 0? | CREATE TABLE table_name_85 (
Id VARCHAR
) | SELECT 2002 FROM table_name_85 WHERE 2001 = "1–0" AND 2000 = "3–0" | [
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What is 2004, when 2009 is 'A'? | CREATE TABLE table_44849 (
"Tournament" text,
"2004" text,
"2005" text,
"2006" text,
"2007" text,
"2008" text,
"2009" text,
"2010" text,
"2011" text
) | SELECT "2004" FROM table_44849 WHERE "2009" = 'a' | [
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For those employees who do not work in departments with managers that have ids between 100 and 200, return a bar chart about the distribution of hire_date and the average of employee_id bin hire_date by weekday. | CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_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 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 job_history (
EMPLOYEE_ID decimal(6,0),
START_DATE date,
END_DATE date,
JOB_ID varchar(10),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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)
) | SELECT HIRE_DATE, AVG(EMPLOYEE_ID) FROM employees WHERE NOT DEPARTMENT_ID IN (SELECT DEPARTMENT_ID FROM departments WHERE MANAGER_ID BETWEEN 100 AND 200) | [
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What is the lowest first elected? | CREATE TABLE table_18108 (
"District" text,
"Incumbent" text,
"Party" text,
"First elected" real,
"Results" text,
"Candidates" text
) | SELECT MIN("First elected") FROM table_18108 | [
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What is the 3-dart average where the 140+ is 75? | CREATE TABLE table_30079 (
"Player" text,
"Played" real,
"Legs Won" real,
"Legs Lost" real,
"100+" real,
"140+" real,
"180s" real,
"High Checkout" real,
"3-dart Average" text
) | SELECT "3-dart Average" FROM table_30079 WHERE "140+" = '75' | [
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What nation did the speed skater that set a record in the 1000 metres event represent? | CREATE TABLE table_name_23 (nation VARCHAR, event VARCHAR) | SELECT nation FROM table_name_23 WHERE event = "1000 metres" | [
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Return the names of all counties sorted by population in ascending order. | CREATE TABLE county (
County_name VARCHAR,
Population VARCHAR
) | SELECT County_name FROM county ORDER BY Population | [
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Who proceeded to the quarter finals with a points margin of 21? | CREATE TABLE table_30161 (
"Proceed to Quarter-final" text,
"Match points" text,
"Aggregate score" text,
"Points margin" real,
"Eliminated from competition" text
) | SELECT "Proceed to Quarter-final" FROM table_30161 WHERE "Points margin" = '21' | [
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Which Gold has a Rank larger than 6, and a Nation of netherlands, and a Bronze smaller than 0? | CREATE TABLE table_name_25 (gold INTEGER, bronze VARCHAR, rank VARCHAR, nation VARCHAR) | SELECT SUM(gold) FROM table_name_25 WHERE rank > 6 AND nation = "netherlands" AND bronze < 0 | [
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Which BR number has an LMS number over 14768? | CREATE TABLE table_name_5 (
br_number VARCHAR,
lms_number INTEGER
) | SELECT br_number FROM table_name_5 WHERE lms_number > 14768 | [
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What name is for the period 1945-1949 & 1953-1954 1949-1952? | CREATE TABLE table_8441 (
"Name" text,
"Country" text,
"Role" text,
"Period" text,
"Teams" text
) | SELECT "Name" FROM table_8441 WHERE "Period" = '1945-1949 & 1953-1954 1949-1952' | [
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Which DRG number has xxx railway number? | CREATE TABLE table_64811 (
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"Railway number(s)" text,
"DRG number(s)" text,
"Quantity" real,
"Year(s) of manufacture" text,
"Axle arrangement ( UIC ) Bauart" text
) | SELECT "DRG number(s)" FROM table_64811 WHERE "Railway number(s)" = 'xxx' | [
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what's the singles w-l for kim doo-hwan | CREATE TABLE table_10023387_1 (singles_w_l VARCHAR, player VARCHAR) | SELECT singles_w_l FROM table_10023387_1 WHERE player = "Kim Doo-Hwan" | [
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What was the position of the player from Saskatchewan Roughriders? | CREATE TABLE table_23619005_3 (position VARCHAR, cfl_team VARCHAR) | SELECT position FROM table_23619005_3 WHERE cfl_team = "Saskatchewan Roughriders" | [
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What is the enrollment for the school in bottineau? | CREATE TABLE table_2326 (
"School" text,
"Location(s)" text,
"Control" text,
"Type" text,
"Enrollment (fall 2010)" real,
"Founded" real,
"Accreditation" text
) | SELECT "Enrollment (fall 2010)" FROM table_2326 WHERE "Location(s)" = 'Bottineau' | [
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How many die sizes have a texture of exactly 34? | CREATE TABLE table_28268 (
"Model" text,
"Launch" text,
"Code name" text,
"Transistors (million)" real,
"Die size (mm 2 )" real,
"Bus interface" text,
"Memory ( MB )" text,
"SM count" real,
"Core config 1,3" text,
"Core ( MHz )" real,
"Shader ( MHz )" real,
"Memory ( MHz )" text,
"Pixel ( GP /s)" text,
"Texture ( GT /s)" text,
"Bandwidth ( GB /s)" text,
"DRAM type" text,
"Bus width ( bit )" real,
"GFLOPS (FMA) 2" text,
"TDP (watts)" real,
"Release price (USD)" text
) | SELECT COUNT("Die size (mm 2 )") FROM table_28268 WHERE "Texture ( GT /s)" = '34' | [
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in what year did stephen henrdy win his first title ? | CREATE TABLE table_204_399 (
id number,
"outcome" text,
"no." number,
"year" number,
"championship" text,
"opponent in the final" text,
"score" text
) | SELECT "year" FROM table_204_399 WHERE "outcome" = 'winner' ORDER BY "year" LIMIT 1 | [
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Which opponent has a game larger than 61, february smaller than 28, and fewer points than 69? | CREATE TABLE table_name_73 (
opponent VARCHAR,
points VARCHAR,
game VARCHAR,
february VARCHAR
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What player that has a Position of df, and Loaned to is Stoke City? | CREATE TABLE table_name_89 (player VARCHAR, position VARCHAR, loaned_to VARCHAR) | SELECT player FROM table_name_89 WHERE position = "df" AND loaned_to = "stoke city" | [
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Name the cfl team for patrice denis | CREATE TABLE table_28059992_2 (
cfl_team VARCHAR,
player VARCHAR
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List the names of mountains that do not have any climber. | CREATE TABLE mountain (
Name VARCHAR,
Mountain_ID VARCHAR
)
CREATE TABLE climber (
Name VARCHAR,
Mountain_ID VARCHAR
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How many times was the overall attendance 17807? | CREATE TABLE table_2771237_1 (
overall_attendance VARCHAR,
average_attendance VARCHAR
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A bar chart about what are the nationalities and their average ages of journalists? | CREATE TABLE event (
Event_ID int,
Date text,
Venue text,
Name text,
Event_Attendance int
)
CREATE TABLE journalist (
journalist_ID int,
Name text,
Nationality text,
Age text,
Years_working int
)
CREATE TABLE news_report (
journalist_ID int,
Event_ID int,
Work_Type text
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how many patients whose diagnoses long title is paroxysmal ventricular tachycardia and drug type is main? | 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 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 diagnoses ON demographic.hadm_id = diagnoses.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE diagnoses.long_title = "Paroxysmal ventricular tachycardia" AND prescriptions.drug_type = "MAIN" | [
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severe uncontrolled arterial hypertension ( hypertension defined as blood pressure 180 / 110 mm hg ( systolic bp > 180 mm hg and / or diastolic bp > 100 mm hg ) on one single reliable measurement during current admission prior to study enrolment | CREATE TABLE table_test_16 (
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"adrenaline" bool,
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"estimated_glomerular_filtration_rate_egfr" int,
"cardiogenic_shock" bool,
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"liver_disease" bool,
"intravenous_vasoactive_agents" bool,
"kidney_disease" bool,
"hypertension" bool,
"age" float,
"NOUSE" float
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Which Incumbent has a First elected larger than 1884? | CREATE TABLE table_name_58 (incumbent VARCHAR, first_elected INTEGER) | SELECT incumbent FROM table_name_58 WHERE first_elected > 1884 | [
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Which week has a result showing L 24-10? | CREATE TABLE table_name_82 (week VARCHAR, result VARCHAR) | SELECT week FROM table_name_82 WHERE result = "l 24-10" | [
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Who was the winner of stage 12? | CREATE TABLE table_name_76 (
winner VARCHAR,
stage VARCHAR
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What country had the car with the Jawa 350cc engine? | CREATE TABLE table_42312 (
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"Year" text
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What is the Market Share that has Assets of 25 Million and a rank of 23? | CREATE TABLE table_name_53 (
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assets__usd__millions VARCHAR,
rank VARCHAR
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For all employees who have the letters D or S in their first name, show me about the distribution of job_id and the average of employee_id , and group by attribute job_id in a bar chart, list JOB_ID from low to high order. | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
CREATE TABLE countries (
COUNTRY_ID varchar(2),
COUNTRY_NAME varchar(40),
REGION_ID decimal(10,0)
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CREATE TABLE departments (
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PHONE_NUMBER varchar(20),
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MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
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CREATE TABLE jobs (
JOB_ID varchar(10),
JOB_TITLE varchar(35),
MIN_SALARY decimal(6,0),
MAX_SALARY decimal(6,0)
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CREATE TABLE job_history (
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END_DATE date,
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CREATE TABLE locations (
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STREET_ADDRESS varchar(40),
POSTAL_CODE varchar(12),
CITY varchar(30),
STATE_PROVINCE varchar(25),
COUNTRY_ID varchar(2)
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What is Winner, when Year is 2001? | CREATE TABLE table_name_34 (winner VARCHAR, year VARCHAR) | SELECT winner FROM table_name_34 WHERE year = 2001 | [
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With the Romaji title of Hanayome Wa Yakudoshi!, what is the Japanese title? | CREATE TABLE table_name_34 (japanese_title VARCHAR, romaji_title VARCHAR) | SELECT japanese_title FROM table_name_34 WHERE romaji_title = "hanayome wa yakudoshi!" | [
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What is Home Team, when Date is "22 Nov 1989", and when Away Team is "Bath City"? | CREATE TABLE table_name_85 (home_team VARCHAR, date VARCHAR, away_team VARCHAR) | SELECT home_team FROM table_name_85 WHERE date = "22 nov 1989" AND away_team = "bath city" | [
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which year was the original title | CREATE TABLE table_22140 (
"Year [e ] (Ceremony)" text,
"Film title used in nomination" text,
"Original title" text,
"Director" text,
"Main Language(s)" text,
"Result" text
) | SELECT "Year [e ] (Ceremony)" FROM table_22140 WHERE "Original title" = 'გაღმა ნაპირი' | [
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Show me manager_id by last name in a histogram | CREATE TABLE regions (
REGION_ID decimal(5,0),
REGION_NAME varchar(25)
)
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 employees (
EMPLOYEE_ID decimal(6,0),
FIRST_NAME varchar(20),
LAST_NAME varchar(25),
EMAIL varchar(25),
PHONE_NUMBER varchar(20),
HIRE_DATE date,
JOB_ID varchar(10),
SALARY decimal(8,2),
COMMISSION_PCT decimal(2,2),
MANAGER_ID decimal(6,0),
DEPARTMENT_ID decimal(4,0)
)
CREATE TABLE departments (
DEPARTMENT_ID decimal(4,0),
DEPARTMENT_NAME varchar(30),
MANAGER_ID decimal(6,0),
LOCATION_ID decimal(4,0)
)
CREATE TABLE 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)
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With a date of May 1262 under elevated, Guillaume de Bray as the elector, what is the order and title? | CREATE TABLE table_47752 (
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"Nationality" text,
"Order and title" text,
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"Elevator" text
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how many white patients were diagnosed under icd9 code 7660? | 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
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What airline has a IATA of BX? | CREATE TABLE table_40823 (
"AIRLINE" text,
"ICAO" text,
"IATA" text,
"CALLSIGN" text,
"COMMENCED OPERATIONS" text
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Name the least number for production code 3x6266 | CREATE TABLE table_29329432_1 (no INTEGER, production_code VARCHAR) | SELECT MIN(no) FROM table_29329432_1 WHERE production_code = "3X6266" | [
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What is the venue for the friendly competition and score of 4-0? | CREATE TABLE table_name_53 (venue VARCHAR, score VARCHAR, competition VARCHAR) | SELECT venue FROM table_name_53 WHERE score = "4-0" AND competition = "friendly" | [
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What the highest position when there is 28 against? | CREATE TABLE table_15331868_1 (position INTEGER, against VARCHAR) | SELECT MAX(position) FROM table_15331868_1 WHERE against = 28 | [
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How many different voivodenship have 747 900 citizes? | CREATE TABLE table_11656578_2 (voivodeship VARCHAR, population__1980_ VARCHAR) | SELECT COUNT(voivodeship) FROM table_11656578_2 WHERE population__1980_ = "747 900" | [
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Type of primary, and a Call letters of kbjs has what format? | CREATE TABLE table_5630 (
"Frequency (MHz)" real,
"Call letters" text,
"Licensed location" text,
"Type" text,
"Format" text
) | SELECT "Format" FROM table_5630 WHERE "Type" = 'primary' AND "Call letters" = 'kbjs' | [
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What's the 1991 census of the city of Carpi? | CREATE TABLE table_10138926_1 (
city VARCHAR
) | SELECT MAX(1991 AS _census) FROM table_10138926_1 WHERE city = "Carpi" | [
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Plot the average of budget in billions over creation in a line chart, and order by the Creation in descending. | CREATE TABLE department (
Department_ID int,
Name text,
Creation text,
Ranking int,
Budget_in_Billions real,
Num_Employees real
)
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
) | SELECT Creation, AVG(Budget_in_Billions) FROM department GROUP BY Creation ORDER BY Creation DESC | [
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WHAT IS THE SIGN OF ZODIAC OF മീനം? | CREATE TABLE table_name_58 (sign_of_zodiac VARCHAR, in_malayalam VARCHAR) | SELECT sign_of_zodiac FROM table_name_58 WHERE in_malayalam = "മീനം" | [
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Find All_Home and Team_ID , and group by attribute ACC_Road, and visualize them by a bar chart, and order in desc by the x axis. | 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_Home, Team_ID FROM basketball_match GROUP BY ACC_Road, All_Home ORDER BY All_Home DESC | [
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count the number of patients whose primary disease is sepsis and procedure icd9 code is 9960? | 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 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
) | SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN procedures ON demographic.hadm_id = procedures.hadm_id WHERE demographic.diagnosis = "SEPSIS" AND procedures.icd9_code = "9960" | [
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how many patients whose procedure icd9 code is 8968 and drug type is main? | 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 procedures ON demographic.hadm_id = procedures.hadm_id INNER JOIN prescriptions ON demographic.hadm_id = prescriptions.hadm_id WHERE procedures.icd9_code = "8968" AND prescriptions.drug_type = "MAIN" | [
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What are all the the participant ids, type code and details? | CREATE TABLE Participants (Participant_ID VARCHAR, Participant_Type_Code VARCHAR, Participant_Details VARCHAR) | SELECT Participant_ID, Participant_Type_Code, Participant_Details FROM Participants | [
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List the date, theme and sales of the journal which did not have any of the listed editors serving on committee. | CREATE TABLE editor (
editor_id number,
name text,
age number
)
CREATE TABLE journal_committee (
editor_id number,
journal_id number,
work_type text
)
CREATE TABLE journal (
journal_id number,
date text,
theme text,
sales number
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What were the years active where Asian Cup played as a captain is Qatar 1988? | CREATE TABLE table_3729 (
"#" real,
"Matches As Captain" text,
"Player" text,
"Asian Cup Played As A Captain" text,
"Years Active" text,
"Caps(Goals)" text
) | SELECT "Years Active" FROM table_3729 WHERE "Asian Cup Played As A Captain" = 'Qatar 1988' | [
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What is the name when the country is ESP and the transfer fee is € 7m? | CREATE TABLE table_name_20 (name VARCHAR, country VARCHAR, transfer_fee VARCHAR) | SELECT name FROM table_name_20 WHERE country = "esp" AND transfer_fee = "€ 7m" | [
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Name the candidates for illinois 15 | CREATE TABLE table_1341672_14 (
candidates VARCHAR,
district VARCHAR
) | SELECT candidates FROM table_1341672_14 WHERE district = "Illinois 15" | [
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Visualize a bar chart for how films are produced by each studio?, could you show by the bars from high to low? | CREATE TABLE film_market_estimation (
Estimation_ID int,
Low_Estimate real,
High_Estimate real,
Film_ID int,
Type text,
Market_ID int,
Year int
)
CREATE TABLE market (
Market_ID int,
Country text,
Number_cities int
)
CREATE TABLE film (
Film_ID int,
Title text,
Studio text,
Director text,
Gross_in_dollar int
) | SELECT Studio, COUNT(*) FROM film GROUP BY Studio ORDER BY Studio DESC | [
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What is the loses total when there is less than 4 draws, less than 105 conceded goals, less than 38 goals scored, and the club is positioned greater than 2? | CREATE TABLE table_name_54 (
loses INTEGER,
goals_scored VARCHAR,
position VARCHAR,
draws VARCHAR,
goals_conceded VARCHAR
) | SELECT SUM(loses) FROM table_name_54 WHERE draws < 4 AND goals_conceded < 105 AND position > 2 AND goals_scored < 38 | [
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Whats the name of segment in s08e21 | CREATE TABLE table_15187735_16 (segment_a VARCHAR, netflix VARCHAR) | SELECT segment_a FROM table_15187735_16 WHERE netflix = "S08E21" | [
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