Query
string
Label
int64
SELECT TOP 50 PERCENT * FROM rubbed
0
SELECT * FROM soap FETCH FIRST 50 PERCENT ROWS ONLY
0
SELECT TOP 3 * FROM swing WHERE crew = 'feed'
0
SELECT * FROM track WHERE wrong = 'practical' LIMIT 3
0
SELECT * FROM appropriate WHERE needed = 'satellites' FETCH FIRST 3 ROWS ONLY
0
SELECT MIN ( lips ) AS giant FROM mixture
0
SELECT MIN ( honor ) AS flight FROM mad
0
SELECT * FROM ( SELECT seen FROM see )
0
SELECT TOP 3 * FROM pull SELECT * FROM discover 3SELECT * FROM canal
0
SELECT * FROM dog 3 SELECT * FROM gave
0
SELECT * FROM layers FETCH FIRST 3 ROWS ONLY SELECT TOP 50 PERCENT * FROM below
0
SELECT TOP 50 PERCENT * FROM box SELECT * FROM fellow FETCH FIRST 50 PERCENT ROWS ONLYSELECT TOP 3 * FROM chemical
0
SELECT * FROM spread FETCH FIRST 50 PERCENT ROWS ONLYSELECT TOP 3 * FROM himself
0
SELECT TOP 3 * FROM spin WHERE below = 'form' SELECT * FROM origin
0
SELECT * FROM farther WHERE that = 'gradually' LIMIT 3
0
SELECT * FROM some WHERE paint = 'composition' FETCH FIRST 3 ROWS ONLY
0
SELECT AVG ( won ) FROM foreign
0
SELECT * FROM forgot WHERE either NOT LIKE '[lion]%'
0
SELECT AVG ( habit ) FROM ago SELECT SUM ( manner )
0
SELECT AVG ( feature ) FROM wheel SELECT SUM ( one )
0
SELECT AVG ( slow ) FROM additional SELECT SUM ( trouble )
0
SELECT COUNT ( explain ) FROM few
0
SELECT COUNT ( neighborhood ) FROM expect
0
SELECT AVG ( cow ) FROM born
0
SELECT * FROM ear WHERE through NOT LIKE 'sky%'
0
SELECT * FROM turn WHERE central LIKE '%who%'
0
SELECT * FROM fur WHERE nature NOT LIKE '[four]%'
0
SELECT * FROM harbor WHERE butter IN ( 'correct', 'gain', 'load' )
0
SELECT * FROM classroom WHERE simplest NOT IN ( 'pleasant', 'stems', 'summer' )
0
SELECT * FROM continent WHERE before IN ( SELECT struck FROM name )
0
SELECT * FROM arrangement WHERE earlier BETWEEN 10 AND 20
0
SELECT * FROM ran WHERE Price NOT BETWEEN 10 AND 20
0
SELECT * FROM product WHERE water BETWEEN 'case' AND 'mail'
0
SELECT * FROM signal WHERE fifteen BETWEEN "fuel" AND "mother"
0
SELECT * FROM shade WHERE depend NOT BETWEEN 'milk' AND 'possibly'
0
SELECT * FROM be WHERE yourself BETWEEN forest09/01/1996clearly AND similar15/31/1996think
0
SELECT * FROM equally WHERE crew BETWEEN '1996-07-01' AND '1996-07-31'
0
SELECT AVG ( stomach ) FROM another SELECT SUM ( layers )
0
SELECT COUNT ( wise ) FROM dozen
0
SELECT COUNT ( sillyID ) FROM tide
0
SELECT AVG ( Price ) FROM motion
0
SELECT * FROM chest WHERE knew BETWEEN '1996-07-01' AND '1996-07-31'
0
SELECT seeID AS ID, clock AS yesterday FROM grew
0
SELECT catID AS ID, football AS held FROM plates
0
SELECT box AS equally, train AS [weather] FROM cotton
0
SELECT warn, reach+ ', ' + firm+ ' ' + powerful+ ', ' + friendly AS ago FROM attack
0
SELECT table ( s ) FROM minute INNER JOIN
0
SELECT powder,new,best,such,live ( ( wrapped JOIN being ON only.tiny = copy.noise ) INNER JOIN shownON Orders.perfectly = satisfied.streetID )
0
SELECT slabs ( s ) FROM pencil LEFT JOIN
0
SELECT gray,vessels,eventually FROM effect LEFT JOIN Orders ON create.duckID = itself.instead ORDER BY tales.degree
0
SELECT sugar ( s FROM opportunity RIGHT JOIN
0
SELECT Orders.knownrID, Employees.whale, Employees.instead FROM OrdersRIGHT JOIN Employees ON Orders.EmployeeID = Employees.settlersID ORDER BY Orders.houseID
0
SELECT city ( s ) FROM involved FULL OUTER JOIN
0
SELECT column_name ( s ) FROM began,whatever
0
SELECT although ( s ) FROM diagram UNION
0
SELECT nearest ( s ) FROM cage SELECT eight ( s )
0
SELECT peace ( s ) FROM aware UNION ALL
0
SELECT numeral ( s ) FROM somewhere SELECT work FROM box
0
SELECT far FROM high UNION SELECT old FROM purple ORDER BY similar
0
SELECT nice FROM arrive UNION ALL SELECT enemy FROM immediately ORDER BY such
0
SELECT molecular,my FROM attempt WHERE principle = 'far' UNION SELECT want, behind FROM bigger
0
SELECT COUNT ( steam ) , diameter FROM amount BY spoken
0
SELECT Employees.brass, COUNT ( Orders.importantID ) AS powderFROM ( OrdersINNER JOIN lonely ON Orders.wayID = Employees.definitionID )
0
SELECT how
0
SELECT * FROM develop
0
SELECT pain FROM stepped
0
SELECT DISTINCT plan FROM widely
0
SELECT COUNT ( DISTINCT learn ) FROM customs
0
SELECT Count ( * ) AS again
0
FROM ( SELECT DISTINCT six FROM thrown )
0
SELECT * FROM such WHERE from = 'wife'
0
SELECT * FROM ill WHERE another = 'surprise'
0
SELECT * FROM practice WHERE pipe = certainly
0
SELECT * FROM dark WHERE success = 'magnet' AND City = 'tears'
0
SELECT * FROM pen WHERE straight = 'deep' OR eventually = 'its'
0
SELECT * FROM consider WHERE trouble = 'past' OR pine = 'short'
0
SELECT * FROM gravity WHERE NOT colony = 'sign'
0
SELECT * FROM frozen WHERE grain = 'car' AND ( joined = 'wherever' OR month = 'sight' )
0
SELECT * FROM pen WHERE NOT curious = 'vessels' AND NOT willing = 'thought'
0
SELECT * FROM let ORDER BY wave
0
SELECT * FROM arrange ORDER BY southern DESC
0
SELECT * FROM label ORDER BY rocket, particularly
0
SELECT * FROM this ORDER BY older ASC, clearly DESC
0
INSERT INTO population ( missing, therefore, particularly, other, herself, yes ) VALUES ( 'product', 'shop'. time', 'active', 'active', 'open', 'before' )
0
INSERT INTO mine ( yourself, shelf, rest ) VALUES ( 'melted', 'area', 'forgotten' )
0
SELECT again, final, never FROM disease WHERE fat IS NULL
0
SELECT usual, exclaimed, occurFROM higher WHERE list IS NOT NULL
0
UPDATE solve SET load = 'trick', City = 'sense' WHERE citizen = contain
0
UPDATE prevent SET chicken = 'disease'WHERE practice = 'soft'
0
DELETE FROM studied WHERE serious = 'refer'
0
DELETE FROM remove
0
SELECT laugh ( s ) FROM earth
0
SELECT * FROM ( SELECT leather FROM drive )
0
SELECT TOP 3 * FROM volume
0
SELECT * FROM wolf 3
0
SELECT * FROM stems FETCH FIRST 3 ROWS ONLY
0
SELECT TOP 50 PERCENT * FROM walk
0
SELECT * FROM noon FETCH FIRST 50 PERCENT ROWS ONLY
0
SELECT TOP 3 * FROM reader WHERE factory = 'earth'
0
SELECT * FROM welcome WHERE lack = 'success' LIMIT 3
0