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2.21k
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| input_ids
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list |
|---|---|---|---|---|---|
What is the name of the driver with a grid less than 14, laps smaller than 53 and a Time/Retired of collision, and a Constructor of ferrari?
|
CREATE TABLE table_name_58 (
driver VARCHAR,
constructor VARCHAR,
time_retired VARCHAR,
grid VARCHAR,
laps VARCHAR
)
|
SELECT driver FROM table_name_58 WHERE grid < 14 AND laps < 53 AND time_retired = "collision" AND constructor = "ferrari"
|
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What was the player's result at the U.S. Open of the player who finished 6th at the Open Ch?
|
CREATE TABLE table_1506950_9 (us_open VARCHAR, open_ch VARCHAR)
|
SELECT us_open FROM table_1506950_9 WHERE open_ch = "6th"
|
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What year did Lonneke Janssen win the Women's singles?
|
CREATE TABLE table_15774 (
"Year" text,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
)
|
SELECT "Year" FROM table_15774 WHERE "Women's singles" = 'lonneke janssen'
|
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List the name for storms and the number of affected regions for each storm with a bar chart, and could you sort Y from high to low order?
|
CREATE TABLE storm (
Storm_ID int,
Name text,
Dates_active text,
Max_speed int,
Damage_millions_USD real,
Number_Deaths int
)
CREATE TABLE affected_region (
Region_id int,
Storm_ID int,
Number_city_affected real
)
CREATE TABLE region (
Region_id int,
Region_code text,
Region_name text
)
|
SELECT Name, COUNT(*) FROM storm AS T1 JOIN affected_region AS T2 ON T1.Storm_ID = T2.Storm_ID GROUP BY T1.Storm_ID ORDER BY COUNT(*) DESC
|
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Who had highest assists at the game against Houston?
|
CREATE TABLE table_27700530_11 (high_assists VARCHAR, team VARCHAR)
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SELECT high_assists FROM table_27700530_11 WHERE team = "Houston"
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-100
] |
Find all the songs whose name contains the word "the".
|
CREATE TABLE songs (title VARCHAR)
|
SELECT title FROM songs WHERE title LIKE '% the %'
|
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] |
What is the location/state of the Launceston race?
|
CREATE TABLE table_name_60 (location___state VARCHAR, race_title VARCHAR)
|
SELECT location___state FROM table_name_60 WHERE race_title = "launceston"
|
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If the POS is 3, what is the 08 points?
|
CREATE TABLE table_24708 (
"Pos" real,
"Team" text,
"07 Pts" real,
"08 Pts" real,
"09 Pts" real,
"Total Pts" real,
"Total Pld" real,
"Avg" text
)
|
SELECT "08 Pts" FROM table_24708 WHERE "Pos" = '3'
|
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What is the average date of the game with the Detroit Red Wings as the opponent?
|
CREATE TABLE table_name_19 (
date INTEGER,
opponent VARCHAR
)
|
SELECT AVG(date) FROM table_name_19 WHERE opponent = "detroit red wings"
|
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what is the least laps when the driver is rolf stommelen and the grid is more than 18?
|
CREATE TABLE table_name_99 (laps INTEGER, driver VARCHAR, grid VARCHAR)
|
SELECT MIN(laps) FROM table_name_99 WHERE driver = "rolf stommelen" AND grid > 18
|
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What is Nationality, when Years is 1979?
|
CREATE TABLE table_48198 (
"Player" text,
"Nationality" text,
"Jersey Number(s)" real,
"Position" text,
"Years" text,
"From" text
)
|
SELECT "Nationality" FROM table_48198 WHERE "Years" = '1979'
|
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How much does Jonathan Bender weigh?
|
CREATE TABLE table_68995 (
"Pos." text,
"Player" text,
"Team" text,
"Height" text,
"Weight" real
)
|
SELECT "Weight" FROM table_68995 WHERE "Player" = 'jonathan bender'
|
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Who is the second member more recently than 1790 when John Williams is the first member?
|
CREATE TABLE table_name_10 (second_member VARCHAR, year VARCHAR, first_member VARCHAR)
|
SELECT second_member FROM table_name_10 WHERE year > 1790 AND first_member = "john williams"
|
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What was the rank in the 2009 Hanoi Games?
|
CREATE TABLE table_10588 (
"Games" text,
"Gold" text,
"Silver" text,
"Bronze" text,
"Total" text,
"Rank" text
)
|
SELECT "Rank" FROM table_10588 WHERE "Games" = '2009 hanoi'
|
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When 4 is the v-band what is the overall amount of ka-bands?
|
CREATE TABLE table_186468_1 (ka_band VARCHAR, v_band VARCHAR)
|
SELECT COUNT(ka_band) FROM table_186468_1 WHERE v_band = "4"
|
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Tell me europe for japan of january 28, 2010
|
CREATE TABLE table_name_72 (
europe VARCHAR,
japan VARCHAR
)
|
SELECT europe FROM table_name_72 WHERE japan = "january 28, 2010"
|
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What was the placing when the jockey was Damien Oliver?
|
CREATE TABLE table_24915874_1 (placing VARCHAR, jockey VARCHAR)
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SELECT placing FROM table_24915874_1 WHERE jockey = "Damien Oliver"
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What country has sa/b as the notes, and a time of 5:51.30?
|
CREATE TABLE table_name_55 (country VARCHAR, notes VARCHAR, time VARCHAR)
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SELECT country FROM table_name_55 WHERE notes = "sa/b" AND time = "5:51.30"
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What is the share of votes in the 2000 (2nd) election?
|
CREATE TABLE table_name_20 (share_of_votes VARCHAR, election VARCHAR)
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SELECT share_of_votes FROM table_name_20 WHERE election = "2000 (2nd)"
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What is the lowest Long, when Name is Kass, Rob, and when Avg/g is less than -0.30000000000000004?
|
CREATE TABLE table_76634 (
"Name" text,
"Gain" real,
"Loss" real,
"Long" real,
"Avg/g" real
)
|
SELECT MIN("Long") FROM table_76634 WHERE "Name" = 'kass, rob' AND "Avg/g" < '-0.30000000000000004'
|
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Draw a bar chart for what are the different ids and names of the stations that have had more than 12 bikes available?, and order total number in ascending order please.
|
CREATE TABLE weather (
date TEXT,
max_temperature_f INTEGER,
mean_temperature_f INTEGER,
min_temperature_f INTEGER,
max_dew_point_f INTEGER,
mean_dew_point_f INTEGER,
min_dew_point_f INTEGER,
max_humidity INTEGER,
mean_humidity INTEGER,
min_humidity INTEGER,
max_sea_level_pressure_inches NUMERIC,
mean_sea_level_pressure_inches NUMERIC,
min_sea_level_pressure_inches NUMERIC,
max_visibility_miles INTEGER,
mean_visibility_miles INTEGER,
min_visibility_miles INTEGER,
max_wind_Speed_mph INTEGER,
mean_wind_speed_mph INTEGER,
max_gust_speed_mph INTEGER,
precipitation_inches INTEGER,
cloud_cover INTEGER,
events TEXT,
wind_dir_degrees INTEGER,
zip_code INTEGER
)
CREATE TABLE trip (
id INTEGER,
duration INTEGER,
start_date TEXT,
start_station_name TEXT,
start_station_id INTEGER,
end_date TEXT,
end_station_name TEXT,
end_station_id INTEGER,
bike_id INTEGER,
subscription_type TEXT,
zip_code INTEGER
)
CREATE TABLE station (
id INTEGER,
name TEXT,
lat NUMERIC,
long NUMERIC,
dock_count INTEGER,
city TEXT,
installation_date TEXT
)
CREATE TABLE status (
station_id INTEGER,
bikes_available INTEGER,
docks_available INTEGER,
time TEXT
)
|
SELECT name, id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id WHERE T2.bikes_available > 12 ORDER BY id
|
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What is other when no party preference is 19.1%?
|
CREATE TABLE table_29247 (
"City" text,
"Population" real,
"Registered voters" text,
"Democratic" text,
"Republican" text,
"D\u2013R spread" text,
"Other" text,
"No party preference" text
)
|
SELECT "Other" FROM table_29247 WHERE "No party preference" = '19.1%'
|
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What is the Time/Retired of the Newman-Haas Racing team in under 51 laps?
|
CREATE TABLE table_40207 (
"Driver" text,
"Team" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT "Time/Retired" FROM table_40207 WHERE "Laps" < '51' AND "Team" = 'newman-haas racing'
|
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What Game had a Score of 101 92?
|
CREATE TABLE table_76861 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"Record" text,
"Streak" text
)
|
SELECT AVG("Game") FROM table_76861 WHERE "Score" = '101–92'
|
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What is the average rank for Group A athlete Yanina Karolchyk, and a result higher than 18?
|
CREATE TABLE table_name_59 (
rank INTEGER,
result VARCHAR,
group VARCHAR,
athlete VARCHAR
)
|
SELECT AVG(rank) FROM table_name_59 WHERE group = "a" AND athlete = "yanina karolchyk" AND result > 18
|
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What's the title of the episode first seen by 18.15 million people in the US?
|
CREATE TABLE table_22078972_2 (
title VARCHAR,
us_viewers__millions_ VARCHAR
)
|
SELECT title FROM table_22078972_2 WHERE us_viewers__millions_ = "18.15"
|
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Which settlement has the cyrillic name ?
|
CREATE TABLE table_2562572_30 (
settlement VARCHAR,
cyrillic_name_other_names VARCHAR
)
|
SELECT settlement FROM table_2562572_30 WHERE cyrillic_name_other_names = "Сигет"
|
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Which Event has a Round of 1, and a Record of 2–0?
|
CREATE TABLE table_name_70 (event VARCHAR, round VARCHAR, record VARCHAR)
|
SELECT event FROM table_name_70 WHERE round = "1" AND record = "2–0"
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Who was the home team when Manchester City was the away team?
|
CREATE TABLE table_name_89 (home_team VARCHAR, away_team VARCHAR)
|
SELECT home_team FROM table_name_89 WHERE away_team = "manchester city"
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In 1837, who was the 2nd member who's 2nd party was conservative.
|
CREATE TABLE table_80140 (
"Year" text,
"1st Member" text,
"1st Party" text,
"2nd Member" text,
"2nd Party" text
)
|
SELECT "2nd Member" FROM table_80140 WHERE "2nd Party" = 'conservative' AND "Year" = '1837'
|
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Which Date of designation has a Name of kurume?
|
CREATE TABLE table_41580 (
"Name" text,
"Japanese" text,
"Date of designation" text,
"Date of reclassification" text,
"Region" text,
"Prefecture" text
)
|
SELECT "Date of designation" FROM table_41580 WHERE "Name" = 'kurume'
|
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Which incumbent was in the 24th district?
|
CREATE TABLE table_name_60 (
incumbent VARCHAR,
district VARCHAR
)
|
SELECT incumbent FROM table_name_60 WHERE district = "24th"
|
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What was the Time when Set 3 was 25 14?
|
CREATE TABLE table_60574 (
"Date" text,
"Time" text,
"Score" text,
"Set 1" text,
"Set 2" text,
"Set 3" text,
"Total" text,
"Report" text
)
|
SELECT "Time" FROM table_60574 WHERE "Set 3" = '25–14'
|
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Display a bar chart for what are the names and average salaries for departments with average salary higher than 42000?, and display y axis in descending order.
|
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)
)
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 advisor (
s_ID varchar(5),
i_ID varchar(5)
)
CREATE TABLE prereq (
course_id varchar(8),
prereq_id varchar(8)
)
CREATE TABLE classroom (
building varchar(15),
room_number varchar(7),
capacity numeric(4,0)
)
CREATE TABLE course (
course_id varchar(8),
title varchar(50),
dept_name varchar(20),
credits numeric(2,0)
)
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 instructor (
ID varchar(5),
name varchar(20),
dept_name varchar(20),
salary numeric(8,2)
)
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)
)
|
SELECT dept_name, AVG(salary) FROM instructor GROUP BY dept_name ORDER BY AVG(salary) DESC
|
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For demo 1.6/5, what is the title?
|
CREATE TABLE table_name_37 (title VARCHAR, demo VARCHAR)
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SELECT title FROM table_name_37 WHERE demo = "1.6/5"
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What position was the player who was drafted by the Washington Capitals?
|
CREATE TABLE table_2850912_10 (position VARCHAR, nhl_team VARCHAR)
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SELECT position FROM table_2850912_10 WHERE nhl_team = "Washington Capitals"
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how many patients whose admission year is less than 2111 and item id is 51001?
|
CREATE TABLE diagnoses (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE demographic (
subject_id text,
hadm_id text,
name text,
marital_status text,
age text,
dob text,
gender text,
language text,
religion text,
admission_type text,
days_stay text,
insurance text,
ethnicity text,
expire_flag text,
admission_location text,
discharge_location text,
diagnosis text,
dod text,
dob_year text,
dod_year text,
admittime text,
dischtime text,
admityear text
)
CREATE TABLE procedures (
subject_id text,
hadm_id text,
icd9_code text,
short_title text,
long_title text
)
CREATE TABLE prescriptions (
subject_id text,
hadm_id text,
icustay_id text,
drug_type text,
drug text,
formulary_drug_cd text,
route text,
drug_dose text
)
CREATE TABLE lab (
subject_id text,
hadm_id text,
itemid text,
charttime text,
flag text,
value_unit text,
label text,
fluid text
)
|
SELECT COUNT(DISTINCT demographic.subject_id) FROM demographic INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE demographic.admityear < "2111" AND lab.itemid = "51001"
|
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how many tracks on trae 's album life goes on ?
|
CREATE TABLE table_204_74 (
id number,
"#" number,
"title" text,
"producers" text,
"guest performers" text,
"length" text
)
|
SELECT COUNT("title") FROM table_204_74
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How many races were in the Mallala Motor Sport Park circuit?
|
CREATE TABLE table_70335 (
"Race" real,
"Circuit" text,
"Location / State" text,
"Date" text,
"Winner" text,
"Team" text
)
|
SELECT COUNT("Race") FROM table_70335 WHERE "Circuit" = 'mallala motor sport park'
|
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count the number of patients whose gender is m and diagnoses short title is hyperacusis?
|
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.short_title = "Hyperacusis"
|
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what is the last product represented in the chart ?
|
CREATE TABLE table_204_870 (
id number,
"product" text,
"main functionality" text,
"input format" text,
"output format" text,
"platform" text,
"license and cost" text,
"notes" text
)
|
SELECT "product" FROM table_204_870 ORDER BY id DESC LIMIT 1
|
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Who was supporting in the round when the gt winning car was dino crescentini?
|
CREATE TABLE table_28490105_1 (supporting VARCHAR, gt_winning_car VARCHAR)
|
SELECT supporting FROM table_28490105_1 WHERE gt_winning_car = "Dino Crescentini"
|
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Which Object type has a Constellation of cancer?
|
CREATE TABLE table_name_58 (object_type VARCHAR, constellation VARCHAR)
|
SELECT object_type FROM table_name_58 WHERE constellation = "cancer"
|
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What NCBI Accession Number (mRNA/Protein) has a Protein Identity of 69%?
|
CREATE TABLE table_name_99 (ncbi_accession_number__mrna_protein_ VARCHAR, protein_identity VARCHAR)
|
SELECT ncbi_accession_number__mrna_protein_ FROM table_name_99 WHERE protein_identity = "69%"
|
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What is the score for set 3 with a time at 15:04?
|
CREATE TABLE table_name_46 (set_3 VARCHAR, time VARCHAR)
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SELECT set_3 FROM table_name_46 WHERE time = "15:04"
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
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-100,
-100,
-100,
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-100,
-100,
-100,
-100,
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-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100,
-100
] |
Which Krypton has a Physical property of critical pressure (atm)?
|
CREATE TABLE table_name_36 (krypton VARCHAR, physical_property VARCHAR)
|
SELECT krypton FROM table_name_36 WHERE physical_property = "critical pressure (atm)"
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
3420,
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157,
651,
11632,
584,
4280,
28027,
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1722,
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10401,
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63,
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3,
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651,
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3,
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15576,
785,
13,
2404,
1666,
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] |
[
3,
23143,
14196,
3,
157,
651,
11632,
21680,
953,
834,
4350,
834,
3420,
549,
17444,
427,
1722,
834,
10401,
49,
17,
63,
3274,
96,
25863,
1666,
41,
144,
51,
61,
121,
1,
-100,
-100,
-100,
-100,
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-100,
-100
] |
Which Selection has a Player of jamaar taylor, and a Round larger than 6?
|
CREATE TABLE table_name_33 (
selection INTEGER,
player VARCHAR,
round VARCHAR
)
|
SELECT MIN(selection) FROM table_name_33 WHERE player = "jamaar taylor" AND round > 6
|
[
32100,
32103,
32102,
205,
4386,
6048,
332,
17098,
953,
834,
4350,
834,
4201,
41,
1801,
3,
21342,
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[
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Which 2007 has a Tournament of grand slam sr?
|
CREATE TABLE table_name_32 (tournament VARCHAR)
|
SELECT 2007 FROM table_name_32 WHERE tournament = "grand slam sr"
|
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How many people reviewed restaurant ' Vintner Grill ' in 2010 ?
|
CREATE TABLE review (
rid int,
business_id varchar,
user_id varchar,
rating float,
text longtext,
year int,
month varchar
)
CREATE TABLE business (
bid int,
business_id varchar,
name varchar,
full_address varchar,
city varchar,
latitude varchar,
longitude varchar,
review_count bigint,
is_open tinyint,
rating float,
state varchar
)
CREATE TABLE user (
uid int,
user_id varchar,
name varchar
)
CREATE TABLE category (
id int,
business_id varchar,
category_name varchar
)
CREATE TABLE checkin (
cid int,
business_id varchar,
count int,
day varchar
)
CREATE TABLE neighborhood (
id int,
business_id varchar,
neighborhood_name varchar
)
CREATE TABLE tip (
tip_id int,
business_id varchar,
text longtext,
user_id varchar,
likes int,
year int,
month varchar
)
|
SELECT COUNT(DISTINCT (user.name)) FROM business, review, user WHERE business.name = 'Vintner Grill' AND review.business_id = business.business_id AND review.year = 2010 AND user.user_id = review.user_id
|
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What is the ERP W with a call sign at w261cq?
|
CREATE TABLE table_39394 (
"Call sign" text,
"Frequency MHz" real,
"City of license" text,
"ERP W" real,
"Class" text,
"FCC info" text
)
|
SELECT "ERP W" FROM table_39394 WHERE "Call sign" = 'w261cq'
|
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patients admitted to the icu with a diagnosis of sepsis or septic shock,
|
CREATE TABLE table_train_17 (
"id" int,
"severe_sepsis" bool,
"mean_arterial_pressure_map" int,
"peripheral_vascular_disease" bool,
"septic_shock" bool,
"age" float,
"NOUSE" float
)
|
SELECT * FROM table_train_17 WHERE severe_sepsis = 1 OR septic_shock = 1
|
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Name the barrel twist for colt model mt6400
|
CREATE TABLE table_12834315_4 (barrel_twist VARCHAR, colt_model_no VARCHAR)
|
SELECT barrel_twist FROM table_12834315_4 WHERE colt_model_no = "MT6400"
|
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What is the biggest number of basses suggested in either one of the references?
|
CREATE TABLE table_26623 (
"Reference" text,
"Author" text,
"Section Size" text,
"Violins" real,
"Violas" real,
"Celli" real,
"Basses" real
)
|
SELECT MAX("Basses") FROM table_26623
|
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4800,
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21680,
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] |
When using a .375 Remington Ultra Magnum, what is the muzzle velocity?
|
CREATE TABLE table_16010376_1 (muzzle_velocity VARCHAR, cartridge VARCHAR)
|
SELECT muzzle_velocity FROM table_16010376_1 WHERE cartridge = ".375 Remington Ultra Magnum"
|
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Who won the Men's Doubles when Guo Xin won the Women's Singles?
|
CREATE TABLE table_17506 (
"Year" real,
"Mens singles" text,
"Womens singles" text,
"Mens doubles" text,
"Womens doubles" text,
"Mixed doubles" text
)
|
SELECT "Mens doubles" FROM table_17506 WHERE "Womens singles" = 'Guo Xin'
|
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For a team with a goals against less than 58, a position of 10, and a points 2 more than 53, what is the average lost?
|
CREATE TABLE table_name_37 (
lost INTEGER,
points_2 VARCHAR,
goals_against VARCHAR,
position VARCHAR
)
|
SELECT AVG(lost) FROM table_name_37 WHERE goals_against < 58 AND position = 10 AND points_2 > 53
|
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conferences that dan weld has published in
|
CREATE TABLE field (
fieldid int
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CREATE TABLE writes (
paperid int,
authorid int
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CREATE TABLE paperdataset (
paperid int,
datasetid int
)
CREATE TABLE journal (
journalid int,
journalname varchar
)
CREATE TABLE paper (
paperid int,
title varchar,
venueid int,
year int,
numciting int,
numcitedby int,
journalid int
)
CREATE TABLE cite (
citingpaperid int,
citedpaperid int
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CREATE TABLE author (
authorid int,
authorname varchar
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CREATE TABLE dataset (
datasetid int,
datasetname varchar
)
CREATE TABLE venue (
venueid int,
venuename varchar
)
CREATE TABLE paperkeyphrase (
paperid int,
keyphraseid int
)
CREATE TABLE paperfield (
fieldid int,
paperid int
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CREATE TABLE keyphrase (
keyphraseid int,
keyphrasename varchar
)
|
SELECT DISTINCT paper.venueid FROM author, paper, writes WHERE author.authorname = 'dan weld' AND writes.authorid = author.authorid AND writes.paperid = paper.paperid
|
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What is First Member, when Election is '1871 by-election'?
|
CREATE TABLE table_60192 (
"Election" text,
"First member" text,
"1st Party" text,
"Second member" text,
"2nd Party" text
)
|
SELECT "First member" FROM table_60192 WHERE "Election" = '1871 by-election'
|
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What is the to par of player bobby nichols?
|
CREATE TABLE table_name_94 (to_par VARCHAR, player VARCHAR)
|
SELECT to_par FROM table_name_94 WHERE player = "bobby nichols"
|
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Peterson Gym is in what city?
|
CREATE TABLE table_40694 (
"Region" text,
"Host" text,
"Venue" text,
"City" text,
"State" text
)
|
SELECT "City" FROM table_40694 WHERE "Venue" = 'peterson gym'
|
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How many Overall went in a round larger than 7 with a pick less than 7?
|
CREATE TABLE table_name_39 (overall VARCHAR, round VARCHAR, pick VARCHAR)
|
SELECT COUNT(overall) FROM table_name_39 WHERE round > 7 AND pick < 7
|
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What date has yani tseng as the runner (s)-up?
|
CREATE TABLE table_41543 (
"Date" text,
"Tournament" text,
"Winning score" text,
"Margin of victory" text,
"Runner(s)-up" text
)
|
SELECT "Date" FROM table_41543 WHERE "Runner(s)-up" = 'yani tseng'
|
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history of renal dysfunction that includes glomerular filtration rate < 60 ml / min, or creatinine of > 2 mg / dl.
|
CREATE TABLE table_dev_31 (
"id" int,
"gender" string,
"pre_dm" bool,
"hemoglobin_a1c_hba1c" float,
"renal_disease" bool,
"diabetic" string,
"fasting_blood_glucose_fbg" float,
"creatinine_clearance_cl" float,
"estimated_glomerular_filtration_rate_egfr" int,
"fasting_plasma_glucose" int,
"early_dm" bool,
"oral_glucose_tolerance_test" int,
"baseline_hemoglobin_hgb" float,
"random_plasma_glucose_concentration" int,
"body_mass_index_bmi" float,
"glycosylated_hemoglobin" float,
"NOUSE" float
)
|
SELECT * FROM table_dev_31 WHERE renal_disease = 1 OR (estimated_glomerular_filtration_rate_egfr < 60 OR creatinine_clearance_cl > 2)
|
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which country scored the most gold medals - iran or indonesia ?
|
CREATE TABLE table_204_725 (
id number,
"rank" number,
"nation" text,
"gold" number,
"silver" number,
"bronze" number,
"total" number
)
|
SELECT "nation" FROM table_204_725 WHERE "nation" IN ('iran', 'indonesia') ORDER BY "gold" DESC LIMIT 1
|
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What is the time for the race with the United States?
|
CREATE TABLE table_65514 (
"Rank" real,
"Rowers" text,
"Country" text,
"Time" text,
"Notes" text
)
|
SELECT "Time" FROM table_65514 WHERE "Country" = 'united states'
|
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provide the number of patients whose age is less than 61 and procedure icd9 code is 3727?
|
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.age < "61" AND procedures.icd9_code = "3727"
|
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What visiting team played at 3com park on October 7?
|
CREATE TABLE table_name_49 (visiting_team VARCHAR, stadium VARCHAR, date VARCHAR)
|
SELECT visiting_team FROM table_name_49 WHERE stadium = "3com park" AND date = "october 7"
|
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Who's the Socialist Labor ticket with a Republican ticket of cuthbert w. pound?
|
CREATE TABLE table_name_49 (
socialist_labor_ticket VARCHAR,
republican_ticket VARCHAR
)
|
SELECT socialist_labor_ticket FROM table_name_49 WHERE republican_ticket = "cuthbert w. pound"
|
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I want to know the driver when grid is greater than 13 and laps is less than 60 with time/retired of accident
|
CREATE TABLE table_name_41 (driver VARCHAR, time_retired VARCHAR, grid VARCHAR, laps VARCHAR)
|
SELECT driver FROM table_name_41 WHERE grid > 13 AND laps < 60 AND time_retired = "accident"
|
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which quarry was the last to open ?
|
CREATE TABLE table_203_2 (
id number,
"name" text,
"mineral" text,
"opened" text,
"closed" text,
"years connected" text,
"notes" text
)
|
SELECT "name" FROM table_203_2 ORDER BY "opened" DESC LIMIT 1
|
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what is the british name when the american name is sixteenth note?
|
CREATE TABLE table_name_50 (british_name VARCHAR, american_name VARCHAR)
|
SELECT british_name FROM table_name_50 WHERE american_name = "sixteenth note"
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Tell me the date for 6–3, 6–2
|
CREATE TABLE table_name_87 (date VARCHAR, score VARCHAR)
|
SELECT date FROM table_name_87 WHERE score = "6–3, 6–2"
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] |
Draw a bar chart for what are the name and population of each county?, and rank names in desc order.
|
CREATE TABLE county (
County_Id int,
County_name text,
Population real,
Zip_code text
)
CREATE TABLE party (
Party_ID int,
Year real,
Party text,
Governor text,
Lieutenant_Governor text,
Comptroller text,
Attorney_General text,
US_Senate text
)
CREATE TABLE election (
Election_ID int,
Counties_Represented text,
District int,
Delegate text,
Party int,
First_Elected real,
Committee text
)
|
SELECT County_name, Population FROM county ORDER BY County_name DESC
|
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provide the number of patients whose diagnoses short title is angioneurotic edema and lab test abnormal status is abnormal?
|
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
)
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 INNER JOIN lab ON demographic.hadm_id = lab.hadm_id WHERE diagnoses.short_title = "Angioneurotic edema" AND lab.flag = "abnormal"
|
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WHICH Venue IS after 1992 with a Score of 1 0 and a Winners of us chaouia?
|
CREATE TABLE table_name_93 (
venue VARCHAR,
winners VARCHAR,
year VARCHAR,
score VARCHAR
)
|
SELECT venue FROM table_name_93 WHERE year > 1992 AND score = "1 – 0" AND winners = "us chaouia"
|
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What is the first name of the author with last name 'Ueno'?
|
CREATE TABLE authors (
fname VARCHAR,
lname VARCHAR
)
|
SELECT fname FROM authors WHERE lname = "Ueno"
|
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What is the average Assists, when Games is greater than 19, and when Name is 'Pablo Prigioni'?
|
CREATE TABLE table_8068 (
"Rank" real,
"Name" text,
"Team" text,
"Games" real,
"Assists" real
)
|
SELECT AVG("Assists") FROM table_8068 WHERE "Games" > '19' AND "Name" = 'pablo prigioni'
|
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What day was Australia the opposing team and the against 12?
|
CREATE TABLE table_12964 (
"Opposing Teams" text,
"Against" real,
"Date" text,
"Venue" text,
"Status" text
)
|
SELECT "Date" FROM table_12964 WHERE "Opposing Teams" = 'australia' AND "Against" = '12'
|
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What is the sum of Top-25 when there are more than 0 wins?
|
CREATE TABLE table_6866 (
"Tournament" text,
"Wins" real,
"Top-5" real,
"Top-10" real,
"Top-25" real,
"Events" real,
"Cuts made" real
)
|
SELECT SUM("Top-25") FROM table_6866 WHERE "Wins" > '0'
|
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What is the Tournament with a Score that is 2 6, 6 4, 3 6?
|
CREATE TABLE table_name_55 (
tournament VARCHAR,
score VARCHAR
)
|
SELECT tournament FROM table_name_55 WHERE score = "2–6, 6–4, 3–6"
|
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What was the time of the driver on grid 3?
|
CREATE TABLE table_78268 (
"Driver" text,
"Constructor" text,
"Laps" real,
"Time/Retired" text,
"Grid" real
)
|
SELECT "Time/Retired" FROM table_78268 WHERE "Grid" = '3'
|
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What School or Club team has an overall score of 21?
|
CREATE TABLE table_name_15 (school_club_team VARCHAR, overall VARCHAR)
|
SELECT school_club_team FROM table_name_15 WHERE overall = 21
|
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What is taipei's lowest 2010 population?
|
CREATE TABLE table_name_99 (
population__2010_ INTEGER,
city VARCHAR
)
|
SELECT MIN(population__2010_) FROM table_name_99 WHERE city = "taipei"
|
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What type of settlement is Jazak?
|
CREATE TABLE table_27893 (
"Settlement" text,
"Cyrillic Name Other Names" text,
"Type" text,
"Population (2011)" real,
"Largest ethnic group (2002)" text,
"Dominant religion (2002)" text
)
|
SELECT "Type" FROM table_27893 WHERE "Settlement" = 'Jazak'
|
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What's the Italian Pluperfect when the English is We Had Heard?
|
CREATE TABLE table_name_83 (
italian VARCHAR,
english VARCHAR
)
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SELECT italian FROM table_name_83 WHERE english = "we had heard"
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Which Hanya has an area of 19.3888?
|
CREATE TABLE table_44882 (
"Hanyu" text,
"Tongyong" text,
"Pe\u030dh-\u014de-j\u012b" text,
"Chinese" text,
"Area (km\u00b2)" real,
"No. of villages" real,
"Population (2010)" real
)
|
SELECT "Hanyu" FROM table_44882 WHERE "Area (km\u00b2)" = '19.3888'
|
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what time does the train that arrives in lonavla at 22:22 depart pune
|
CREATE TABLE table_29301050_1 (departure_pune VARCHAR, arrival_lonavla VARCHAR)
|
SELECT departure_pune FROM table_29301050_1 WHERE arrival_lonavla = "22:22"
|
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Where was the game with record 20 23 and how many people attended it
|
CREATE TABLE table_21229 (
"Game" real,
"Date" text,
"Team" text,
"Score" text,
"High points" text,
"High rebounds" text,
"High assists" text,
"Location Attendance" text,
"Record" text
)
|
SELECT "Location Attendance" FROM table_21229 WHERE "Record" = '20–23'
|
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What is the college/junior/club team (league) of lw position player mark miller, from a round greater than 4?
|
CREATE TABLE table_name_7 (
college_junior_club_team__league_ VARCHAR,
player VARCHAR,
round VARCHAR,
position VARCHAR
)
|
SELECT college_junior_club_team__league_ FROM table_name_7 WHERE round > 4 AND position = "lw" AND player = "mark miller"
|
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What is the circuit of round 5?
|
CREATE TABLE table_24732149_2 (circuit VARCHAR, round VARCHAR)
|
SELECT circuit FROM table_24732149_2 WHERE round = 5
|
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What is the smallest width for a frame size of 5k and a height shorter than 2700?
|
CREATE TABLE table_name_18 (
width INTEGER,
frame_size VARCHAR,
height VARCHAR
)
|
SELECT MIN(width) FROM table_name_18 WHERE frame_size = "5k" AND height < 2700
|
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Three Men and a Little Lady from Touchstone Pictures was from what year?
|
CREATE TABLE table_name_12 (year VARCHAR, distributor_s_ VARCHAR, title VARCHAR)
|
SELECT year FROM table_name_12 WHERE distributor_s_ = "touchstone pictures" AND title = "three men and a little lady"
|
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What is the Heat of the 34 Rank swimmer with a Time of 49.49 or less?
|
CREATE TABLE table_13506 (
"Rank" real,
"Heat" real,
"Lane" real,
"Name" text,
"Nationality" text,
"Time" real
)
|
SELECT AVG("Heat") FROM table_13506 WHERE "Rank" = '34' AND "Time" < '49.49'
|
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what is the consistency & participation when pareto efficiency is yes and condorcet is no?
|
CREATE TABLE table_name_83 (
consistency_ VARCHAR,
_participation VARCHAR,
pareto_efficiency VARCHAR,
condorcet VARCHAR
)
|
SELECT consistency_ & _participation FROM table_name_83 WHERE pareto_efficiency = "yes" AND condorcet = "no"
|
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Which Attendance has an Opponent of new york giants, and a Week smaller than 5?
|
CREATE TABLE table_name_88 (attendance INTEGER, opponent VARCHAR, week VARCHAR)
|
SELECT AVG(attendance) FROM table_name_88 WHERE opponent = "new york giants" AND week < 5
|
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for the other of soun, what's the khmer?
|
CREATE TABLE table_71116 (
"Value" real,
"Khmer" real,
"Word Form" text,
"UNGEGN" text,
"ALA-LC" text,
"Other" text
)
|
SELECT "Khmer" FROM table_71116 WHERE "Other" = 'soun'
|
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Which women's doubles had the accompanying Men's singles player Ville L ng?
|
CREATE TABLE table_57127 (
"Year" real,
"Men's singles" text,
"Women's singles" text,
"Men's doubles" text,
"Women's doubles" text,
"Mixed doubles" text
)
|
SELECT "Women's doubles" FROM table_57127 WHERE "Men's singles" = 'ville lång'
|
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A bar chart about how many hosts does each nationality have? List the nationality and the count, show in descending by the y axis please.
|
CREATE TABLE party (
Party_ID int,
Party_Theme text,
Location text,
First_year text,
Last_year text,
Number_of_hosts int
)
CREATE TABLE host (
Host_ID int,
Name text,
Nationality text,
Age text
)
CREATE TABLE party_host (
Party_ID int,
Host_ID int,
Is_Main_in_Charge bool
)
|
SELECT Nationality, COUNT(*) FROM host GROUP BY Nationality ORDER BY COUNT(*) DESC
|
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Who was the regular season winner of the 1999 Big Sky Men's Basketball Tournament was the conference tournament?
|
CREATE TABLE table_30980 (
"Conference" text,
"Regular Season Winner" text,
"Conference Player of the Year" text,
"Conference Tournament" text,
"Tournament Venue (City)" text,
"Tournament Winner" text
)
|
SELECT "Regular Season Winner" FROM table_30980 WHERE "Conference Tournament" = '1999 Big Sky Men''s Basketball Tournament'
|
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Which platform has an Actual version of 0.147?
|
CREATE TABLE table_55130 (
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"Actual version" text,
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"License" text
)
|
SELECT "Platform" FROM table_55130 WHERE "Actual version" = '0.147'
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-100
] |
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