Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select rank where name = 'bedford jezzard'	1.0
[ header: catalogue number \| artist \| release title \| format \| release date row 1 : eskaton 001 \| coil vs the eskaton \| nasa arab \| 12" vinyl \| 1994 row 2 : eskaton 002 \| coil vs elph \| born again pagans \| cd \| 1994 row 3 : eskaton 004 \| None \| (came with philm #1) \| poster \| 1995 row 4 : eskaton 005 \| None \| (chaosphere badge) \| badge \| 1995 row 5 : eskaton 006 \| elph vs coil \| worship the glitch \| cd \| 1996 row 6 : eskaton 007 \| elph vs coil \| worship the glitch \| 10" vinyl \| 1996 row 7 : eskaton 008 \| black light district \| a thousand lights in a darkened room \| cd \| 1996 row 8 : eskaton 010 \| time machines \| time machines \| cd \| 1998 row 9 : eskaton 11 \| coil \| spring equinox: moon's milk \| cd \| 1998 row 10 : eskaton 12 \| coil \| spring equinox: moon's milk \| 7" vinyl \| 1998 row 11 : eskaton 13 \| coil \| summer solstice: bee sting \| 7" vinyl \| 1998 row 12 : eskaton 14 \| coil \| summer solstice: bee sting \| cd \| 1998 row 13 : eskaton 15 \| coil \| autumn equinox: amethy \| 7" vinyl \| 1998 row 14 : eskaton 16 \| coil \| autumn equinox: amethy \| cd \| 1998 row 15 : eskaton 17 \| zos kia/coil \| transparent \| 12" vinyl \| 1998 row 16 : eskaton 18 \| coil \| winter solstice: north \| 7" vinyl \| 1999 row 17 : eskaton 19 \| coil \| winter solstice: north \| cd \| 1999 row 18 : eskaton 20 \| coil \| queens of the circulating library \| cd \| 2000 row 19 : eskaton 23 \| coil \| moons milk (in four phases) \| 2xcd \| 2001 row 20 : eskaton cd 24 \| coil \| coil presents time machines \| cd \| 2000 row 21 : eskaton 24 \| coil \| constant shallowness leads to evil \| cd \| 2001 row 22 : eskaton 26 \| thighpaulsandra \| i, thighpauls \| 2xcd, 2x12" vinyl \| 2001 row 23 : eskaton 27 \| thighpaulsandra \| the michel publicity window e.p \| cd, 7" vinyl \| 2001 row 24 : eskaton 28 \| time machines \| time machines \| 2x12" vinyl \| 2002 row 25 : eskaton 29 \| coil \| the golden hare with a voice of \| 2xcd \| 2002 row 26 : eskaton 30 \| black sun productions \| plastic spider thing \| cd \| 2002 row 27 : eskaton 31 \| None \| (unreleased) \| None \| None row 28 : eskaton 32 \| mount vernon astral temple \| musick that destroys itself \| cd \| 2003 row 29 : eskaton 033 \| coh \| love uncut \| cd \| 2000 row 30 : eskaton 34 \| coil \| ans \| cd-r \| 2003 row 31 : eskaton 077 \| coh \| above air \| cd \| 7 march 2006 ] Execute this SQL based on the above table: select count ( * ) where artist in ( 'None' , 'coil' )	14
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( song ) where year >= 8	14
[ header: rnd \| circuit \| lmp1 winning team lmp1 winning drivers \| lmp2 winning team lmp2 winning drivers \| gt1 winning team gt1 winning drivers \| gt2 winning team gt2 winning drivers \| results row 1 : 1 \| sebring \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #50 multimatic motorsports \| results row 2 : 1 \| sebring \| rinaldo capello tom \| clint field liz halliday \| oliver gavin olivier beretta \| scott maxwell david brabham \| results row 3 : 2 \| reliant park \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #23 alex job racing \| results row 4 : 2 \| reliant park \| allan mcnish rinal \| clint field liz halliday \| oliver gavin olivier beretta \| mike rockenfeller klaus \| results row 5 : 3 \| mid-ohio \| #2 audi sport north america \| #7 penske racing \| #4 corvette racing \| #45 flying lizard motorsports \| results row 6 : 3 \| mid-ohio \| allan mcnish rinal \| timo bernhard roma \| oliver gavin olivier beretta \| johannes van overbeek wolf \| results row 7 : 4 \| lime rock \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #31 petersen/white lightning \| results row 8 : 4 \| lime rock \| allan mcnish rinal \| timo bernhard roma \| stephane sarrazin pedr \| jorg bergmeister patrick long \| results row 9 : 5 \| miller \| #1 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #62 risi competi \| results row 10 : 7 \| road america \| #1 audi sport north america \| #6 penske racing \| #3 corvette racing \| #31 petersen/white lightning \| results row 11 : 7 \| road america \| frank biela emanu \| sascha maassen tim \| ron fellows johnny \| jorg bergmeister patrick long mich \| results row 12 : 8 \| mosport \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results row 13 : 8 \| mosport \| allan mcnish rinal \| lucas luhr roma \| stephane sarrazin pedr \| stephane ortelli johnny \| results row 14 : 9 \| road atlanta \| #2 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #31 petersen/white lightning \| results row 15 : 9 \| road atlanta \| allan mcnish rinal \| sascha maassen tim \| tomas enge darren turner \| jorg bergmeister patrick long \| results row 16 : 10 \| mazda raceway laguna sec \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results ] Execute this SQL based on the above table: select circuit order by results desc limit 1	sebring
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select team where team in ( '19' , 'n/h/l racing' ) group by team order by count ( team ) desc limit 1	n/h/l racing
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 14 \| 7:00 p.m \| at rhein fire \| w 15-3 \| 1-0 \| ltu arena \| 30355 row 2 : 2 \| sunday, april 22 \| 4:00 p.m \| hamburg sea devils \| l 7-16 \| 1-1 \| olympic stadium \| 30657 row 3 : 3 \| saturday, april 28 \| 6:00 p.m \| amsterdam admirals \| l 10-14 \| 1-2 \| olympic stadium \| 11942 row 4 : 4 \| saturday, may 5 \| 6:00 p.m \| at cologne centurions \| w 31-28 \| 2-2 \| rheinenergiestadion \| 10084 row 5 : 5 \| sunday, may 13 \| 4:00 p.m \| cologne centurions \| l 10-24 \| 2-3 \| olympic stadium \| 11995 row 6 : 6 \| sunday, may 20 \| 5:00 p.m \| at frankfurt galaxy \| l 7-35 \| 2-4 \| commerzbank-arena \| 30125 row 7 : 7 \| saturday, may 26 \| 6:00 p.m \| at hamburg sea devils \| l 7-17 \| 2-5 \| aol arena \| 18337 row 8 : 8 \| saturday, june 2 \| 6:00 p.m \| frankfurt galaxy \| l 22-25 \| 2-6 \| olympic stadium \| 11882 row 9 : 9 \| friday, june 8 \| 7:00 p.m \| rhein fire \| l 17-24 \| 2-7 \| olympic stadium \| 12114 row 10 : 10 \| friday, june 15 \| 8:00 p.m \| at amsterdam admirals \| l 20-21 \| 2-8 \| olympic stadium \| 11893 ] Execute this SQL based on the above table: select date where attendance > ( select attendance where date = 'saturday, may 5' ) and results final score = 'l 10-24' order by attendance asc limit 1	sunday, may 13
[ header: track number \| russian title \| english title \| music \| lyrics row 1 : 1 \| улыбнись \| smile! \| vitas \| d. plachkovsky row 2 : 2 \| блаженныи гу \| blessed guru \| vitas \| vitas row 3 : 3 \| восковые фиг \| wax figures \| vitas \| d. plachkovsky, vita row 4 : 4 \| плачет чужа \| someone's melancholy is crying \| vitas \| d. plachovsky row 5 : 5 \| аве мария \| ave maria \| franz schubert \| traditional prayer row 6 : 6 \| холодныи мир \| the cold world \| v. molchanov \| d. plachkovsky row 7 : 7 \| остров затонув \| the island of sunken ships \| o. gazmanov \| e. nebylova row 8 : 8 \| фантастические \| fantastic dreams \| vitas \| vitas, d. plachkov row 9 : 9 \| good-bye \| good-bye \| vitas \| vitas row 10 : 10 \| счастье \| happiness \| vitas \| vitas row 11 : 11 \| отцвели хриз \| chrysanthemums have fade \| n. harito \| v. shumsky row 12 : 12 \| дождь в тб \| rain in tbilisi \| vitas \| ratner row 13 : 13 \| слепои худо \| blind painter \| vitas \| d. plachkovsky, vita row 14 : 14 \| милая музыка \| lovely music \| vitas \| vitas row 15 : 15 \| белоруссия \| byelorussia \| alexandra pakhmutova \| n. dobronravov row 16 : 16 \| до свидания \| see you later (do svidani \| vitas \| vitas ] Execute this SQL based on the above table: select track number where track number in ( 5 , 9 ) and music = 'franz schubert'	5.0
[ header: player \| matches \| innings \| runs \| average \| 100s \| 50s row 1 : herbie hewett \| 10 \| 15 \| 543 \| 38.79 \| 1 \| 2 row 2 : lionel palairet \| 10 \| 14 \| 408 \| 29.14 \| 1 \| 1 row 3 : bill roe \| 8 \| 12 \| 316 \| 28.73 \| 0 \| 1 row 4 : george nichols \| 13 \| 18 \| 497 \| 27.61 \| 1 \| 3 row 5 : john challen \| 9 \| 14 \| 286 \| 20.43 \| 0 \| 1 row 6 : ted tyler \| 13 \| 18 \| 297 \| 18.56 \| 0 \| 0 row 7 : crescens robinson \| 9 \| 13 \| 162 \| 14.73 \| 0 \| 0 row 8 : albert clapp \| 11 \| 15 \| 159 \| 10.60 \| 0 \| 0 ] Execute this SQL based on the above table: select player order by average asc limit 1	albert clapp
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 11 \| william mccreery \| march 4, 1803 \| march 3, 1809 \| democratic republican \| None row 2 : 12 \| alexander mckim \| march 4, 1809 \| march 3, 1815 \| democratic republican \| None row 3 : 13 \| william pinkney \| march 4, 1815 \| april 18, 1816 \| democratic republican \| resigned to accept position as minister p row 4 : 14 \| peter little \| september 2, 1816 \| march 3, 1823 \| democratic republican \| None row 5 : 14 \| peter little \| march 4, 1823 \| march 3, 1825 \| jacksonian dr \| None row 6 : 14 \| peter little \| march 4, 1825 \| march 3, 1829 \| adams \| None row 7 : 15 \| benjamin c. howard \| march 4, 1829 \| march 3, 1833 \| jacksonian \| None ] Execute this SQL based on the above table: select count ( * ) where left office = 'march 3, 1809'	1
[ header: year \| song \| us r&b \| us rap \| album row 1 : 1991 \| "mistadobalina" \| 55 \| 6 \| i wish my brother george was here row 2 : 1991 \| "sleepin' on my couch" \| None \| None \| i wish my brother george was here row 3 : 1992 \| "dr. bombay.." \| None \| None \| i wish my brother george was here row 4 : 1993 \| "catch a bad one" \| None \| None \| no need for alarm row 5 : 1994 \| "wrong place" \| None \| 48 \| no need for alarm row 6 : 1999 \| "phoney phranchise" \| None \| 47 \| both sides of the brain row 7 : 2000 \| "if you must" \| None \| 27 \| both sides of the brain row 8 : 2008 \| "workin' it" \| None \| None \| eleventh hour row 9 : 2011 \| "one out of a million" \| None \| None \| golden era ] Execute this SQL based on the above table: select album where id = ( select id where album = 'no need for alarm' ) + 1	no need for alarm
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select count ( landmark name ) where summary = 'built by del e. webb construction company in 1942'	1
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select team order by no. limit 1	dale earnhardt, inc
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select year where bronze = 'colombia'	1992, 1996
[ header: no. in series \| no. in season \| performer \| appearance \| air date row 1 : 268 \| 1 \| tom segura \| only \| 21 january 2011 row 2 : 269 \| 2 \| michael kosta \| only \| 21 january 2011 row 3 : 270 \| 3 \| sheng wang \| only \| 28 january 2011 row 4 : 271 \| 4 \| chelsea peretti \| only \| 28 january 2011 row 5 : 272 \| 5 \| chris d'elia \| only \| 4 february 2011 row 6 : 273 \| 6 \| nate bargatze \| only \| 4 february 2011 row 7 : 274 \| 7 \| hari kondabolu \| only \| 11 february 2011 row 8 : 275 \| 8 \| jack whitehall \| only \| 11 february 2011 row 9 : 276 \| 9 \| al jackson \| only \| 18 february 2011 row 10 : 277 \| 10 \| kyle kinane \| only \| 25 february 2011 row 11 : 278 \| 11 \| matt fulchiron \| only \| 25 february 2011 row 12 : 279 \| 12 \| mike vecchione \| only \| 4 march 2011 row 13 : 280 \| 13 \| jessi klein \| only \| 4 march 2011 row 14 : 281 \| 14 \| louis katz \| only \| 11 march 2011 row 15 : 282 \| 15 \| jay larson \| only \| 11 march 2011 row 16 : 283 \| 16 \| natasha leggero \| only \| 25 march 2011 ] Execute this SQL based on the above table: select appearance order by no. in series asc limit 1	only
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select count ( description ) where description = 'in internment camps' and description = '145615'	0
[ header: team #1 \| agg. \| team #2 \| 1st match \| 2nd match row 1 : topolniky \| 51 - 25 \| union landhaus \| 28 - 14 \| 23 - 11 row 2 : svendborg \| 41 - 30 \| goteborgs kvinnliga \| 17 - 15 \| 24 - 15 row 3 : tresnjevka \| 45 - 46 \| sekulic sombor \| 19 - 19 \| 26 - 27 row 4 : avtomobilist baku \| 62 - 37 \| ayete \| 25 - 15 \| 37 - 22 row 5 : bakony vegyesz \| 57 - 19 \| zurich \| 31 - 9 \| 26 - 10 row 6 : avanti lebbeke \| 23 - 35 \| niloc amsterdam \| 5 - 19 \| 18 - 16 row 7 : engelskirchen \| 27 - 34 \| vestar \| 15 - 15 \| 12 - 19 row 8 : empor rostock \| 70 - 19 \| conflans \| 40 - 8 \| 30 - 11 ] Execute this SQL based on the above table: select 1st match where 1st match = '15 - 15'	15 - 15
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select count ( club ) where club != 'nk zagreb' and apps = ( select apps where club = 'nk zagreb' )	0
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 13 \| 7:00 p.m \| at rhein fire \| w 27-21 \| 1-0 \| rheinstadion \| 32092 row 2 : 2 \| saturday, april 20 \| 7:00 p.m \| london monarchs \| w 37-3 \| 2-0 \| waldstadion \| 34186 row 3 : 3 \| sunday, april 28 \| 6:00 p.m \| at barcelona dragons \| w 33-29 \| 3-0 \| estadi olimpic de mont \| 17503 row 4 : 4 \| sunday, may 5 \| 7:00 p.m \| amsterdam admirals \| w 40-28 \| 4-0 \| waldstadion \| 28627 row 5 : 5 \| saturday, may 11 \| 7:00 p.m \| scottish claymores \| l 0-20 \| 4-1 \| waldstadion \| 32126 row 6 : 6 \| sunday, may 19 \| 3:00 p.m \| at london monarchs \| l 7-27 \| 4-2 \| white hart lane \| 10764 row 7 : 7 \| sunday, may 26 \| 3:00 p.m \| at scottish claymores \| l 17-20 \| 4-3 \| murrayfield stadium \| 13116 row 8 : 8 \| saturday, june 1 \| 7:00 p.m \| rhein fire \| l 8-31 \| 4-4 \| waldstadion \| 38798 row 9 : 9 \| saturday, june 8 \| 7:00 p.m \| barcelona dragons \| w 24-21 \| 5-4 \| waldstadion \| 33115 row 10 : 10 \| saturday, june 15 \| 6:30 p.m \| at amsterdam admirals \| w 28-20 \| 6-4 \| olympisch stadion \| 14062 row 11 : 11 \| sunday, june 23 \| 6:00 p.m \| at scottish claymores \| l 27-32 \| 6-5 \| murrayfield stadium \| 38982 ] Execute this SQL based on the above table: select count ( date ) where id > ( select id where game site = '7:00 p.m' )	0
[ header: year \| title \| credit \| role \| notes row 1 : 2005 \| new york doll \| producer \| None \| nominated for a grand jury prize in row 2 : 2005 \| cry_wolf \| producer \| None \| None row 3 : 2007 \| the king of kong: a fi \| director \| None \| accepted to slamdance and bought row 4 : 2008 \| four christmases \| director \| None \| None row 5 : 2010 \| freakonomics \| director and screenwriter \| None \| None row 6 : 2011 \| horrible bosses \| director \| cameo appearance \| None row 7 : 2011 \| undefeated \| producer \| example \| won the documentary oscar in 2012 row 8 : 2013 \| identity thief \| director \| None \| None row 9 : None \| wargames \| director \| None \| None row 10 : None \| uncharted \| director \| None \| None ] Execute this SQL based on the above table: select credit where credit = 'director'	director, director, director, director, director, director
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select count ( president of the republic ) where rank by length of term(s) < ( select rank by length of term(s) where president of the republic = 'kyosti kallio' )	8
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select date where date != 'september 15, 1983' and yacht = ( select yacht where date = 'september 15, 1983' )	september 14, 1983, september 20, 1983
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where id = ( select id where year = 1979 ) - 1	1977
[ header: japanese title \| western title \| regions \| release \| platform(s) \| genre row 1 : chinese hero \| None \| jp \| 1984 \| arcade \| action row 2 : super chinese \| kung-fu heroes \| jp, na \| 1986 \| fc/nes \| action row 3 : super chinese 2 \| little ninja brothers \| jp, na \| 1989 \| fc/nes \| role-playing row 4 : super chinese 3 \| None \| jp \| 1991 \| fc \| role-playing row 5 : super chinese land \| ninja boy \| jp, na \| 1990 \| gb \| action row 6 : super chinese land 2 \| ninja boy 2 \| jp, na \| 1990 \| gb \| role-playing row 7 : super chinese land 3 \| None \| jp \| 1995 \| gb \| role-playing row 8 : super chinese world \| super ninja boy \| jp, na \| 1991 \| sfc/snes \| role-playing row 9 : super chinese world 2 \| None \| jp \| 1993 \| sfc \| role-playing row 10 : super chinese world 3 \| None \| jp \| 1995 \| sfc \| role-playing row 11 : super chinese fighter \| None \| jp \| 1995 \| sfc \| fighting row 12 : super chinese fighter gb \| None \| jp \| 1996 \| gb \| fighting row 13 : super chinese fighter ex \| None \| jp \| 1999 \| gbc \| fighting ] Execute this SQL based on the above table: select japanese title order by release desc limit 1	super chinese fighter ex
[ header: model \| class \| length \| fuel \| starting price row 1 : tour \| class a \| 42' \| diesel \| $362,285 row 2 : journey \| class a \| 35'-43' \| diesel \| $246,736 row 3 : adventurer \| class a \| 32'-37' \| gas \| $150,711 row 4 : via \| class a \| 25' \| diesel \| $126,476 row 5 : sightseer \| class a \| 31'-37' \| gas \| $126,162 row 6 : vista \| class a \| 26'-35' \| gas \| $107,717 row 7 : view \| class c \| 24'-25' \| diesel \| $100,955 row 8 : aspect \| class c \| 29'-31' \| gas \| $95,948 row 9 : access \| class c \| 25'-31' \| gas \| $74,704 ] Execute this SQL based on the above table: select count ( * ) where fuel = 'diesel' and fuel = 'diesel'	4
[ header: ano \| title \| role \| channel \| notes row 1 : 1994 \| inconquistable corazon \| victoria \| canal 9 \| None row 2 : 1995 \| dulce ana \| veronica iturbe montalban \| canal 9 \| None row 3 : 1996 \| 90-60-90 modelos \| lucia peralta \| canal 9 \| None row 4 : 1997 \| ricos y famos \| valeria garcia mendez de \| canal 9 \| None row 5 : 1998-1999 \| muneca brava \| milagros 'mili' e \| telefe \| nominated - martin fierr row 6 : 2002 \| kachorra \| antonia guerrero (kachorr \| telefe \| nominated - martin fierr row 7 : 2004 \| el deseo \| carmen \| telefe \| None row 8 : 2005 \| botines \| renee \| canal 13 \| in "bailarina en row 9 : 2006 \| sos mi vida \| esperanza "la monita \| canal 13 \| won - martin fierro row 10 : 2007 \| patito feo \| patricia gonzalez \| canal 13 \| guest appearance row 11 : 2008 \| amanda o \| amanda o \| on internet and america television \| martin fierro - leading actress row 12 : 2008 \| recurso natural \| None \| canal 7 \| host row 13 : 2010 \| se dice de mi \| None \| canal encuentro \| host row 14 : 2011 \| cuando me sonreis \| leonora bellami \| telefe \| guest appearance row 15 : 2012-2013 \| lynch \| isabel reyes alias marian \| moviecity \| None row 16 : 2013 \| solamente vos \| aurora andres \| canal 13 \| won - tato awards best lead ] Execute this SQL based on the above table: select channel order by id desc limit 1	canal 13
[ header: common names subspecies \| pacific (critchfieldiana) \| columbia (ponderosa) \| rocky mountains (scopulorum) \| southwestern (brachyptera) \| central high plains (readiana) row 1 : years needles remain green \| 3.9±0.25, n=30 \| 4.7±0.14, n=50 \| 5.7±0.28, n=23 \| 4.3±0.18, n=24 \| 4.7±0.18, n=5 row 2 : foliage length on branch, cm \| 25.1±2.4, n=30 \| 26.2±2.2, n=50 \| 21.1±1.7, n=23 \| 21.8±2.7, n=24 \| 42.2±6.7, n=5 row 3 : needle length, cm \| 19.8±0.44, n=30 \| 16.8±0.29, n=48 \| 11.2±0.27, n=23 \| 14.7±0.45, n=24 \| 15.6±0.57, n=5 row 4 : needles per fascicle \| 3.0±0.00, n=30 \| 3.0±0.00, n=48 \| 2.6±0.06, n=23 \| 3.0±0.03, n=24 \| 2.4±0.11, n=5 row 5 : needle thickness \| 45.9±0.49, n= \| 47.8±0.51, n=48 \| 46.4±0.68, n=23 \| 44.8±0.87, n=24 \| 49.7±0.61, n=5 row 6 : branches per whorl \| 4.4±0.13, n=30 \| 3.7±0.11, n=50 \| 3.0±0.17, n=23 \| 3.4±0.25, n=23 \| 2.3±0.11, n=5 row 7 : branch angle ° from vert \| 56±1.8, n=30 \| 51±1.7, n=50 \| 50±2.3, n=23 \| 48±3.1, n=24 \| 36±1.9, n=5 row 8 : seed cones length, mm \| 101.4±2.48, n=25 \| 88.7±1.24, n= \| 70.7±2.20, n=22 \| 74.9±2.51, n=20 \| 71.1±2.46, n=5 row 9 : seed cones width, mm \| 77.1±1.35, n=25 \| 71.6±0.73, n=36 \| 61.5±1.08, n=22 \| 62.6±1.77, n=20 \| 63.3±2.18, n=5 row 10 : seed cone form w/l \| 0.80±0.03, n=25 \| 0.84±0.03, n=36 \| 0.90±0.02, n=22 \| 0.86±0.02, n=20 \| 0.90±0.03, n=5 row 11 : seed length, mm \| 7.5±0.08, n=23 \| 7.6±0.16, n=14 \| 6.3±0.09, n=17 \| 6.4±0.18, n=16 \| 7.0±0.12, n=5 row 12 : seed width, mm \| 4.9±0.05, n=23 \| 4.9±0.08, n=14 \| 4.1±0.05, n=17 \| 4.3±0.09, n=16 \| 4.5±0.10, n=5 row 13 : seed + wing length, mm \| 32.3±0.58, n=23 \| 24.8±0.62, n=14 \| 22.9±0.63, n=17 \| 23.3±0.68, n=15 \| 23.1±0.78, n=5 row 14 : mature cone color \| apple green to yellow green \| green & red-brown to d \| green & red-brown to d \| None \| green & red-brown to d ] Execute this SQL based on the above table: select common names subspecies where central high plains (readiana) = '0.90±0.03, n=5'	seed cone form w/l
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| park ho-hyun \| south korea \| 55.58 \| pb row 2 : None \| lee young-sun \| south korea \| 55.29 \| None row 3 : None \| anne de silva \| sri lanka \| 54.86 \| None row 4 : 4 \| liliya dusmetova \| uzbekistan \| 54.52 \| sb row 5 : 5 \| zhang li \| china \| 54.11 \| None row 6 : 6 \| harumi yamamoto \| japan \| 52.6 \| None row 7 : 7 \| suman devi \| india \| 52.58 \| None row 8 : 8 \| emika yoshida \| japan \| 51.62 \| None row 9 : 9 \| nadeeka lakmali \| sri lanka \| 48.54 \| None row 10 : 10 \| jang ok-ju \| north korea \| 41.68 \| pb row 11 : 11 \| parveen akhtar \| pakistan \| 37.51 \| None ] Execute this SQL based on the above table: select name where id = ( select id where name = 'harumi yamamoto' ) + 1	suman devi
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select eliminated where eliminated = 'week 5' order by age desc limit 1	week 5
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/09/2013 \| 2:00 pm \| indiana institute of technology \| emil and patricia jones \| csu tv \| w 74-51 \| 369 \| 1-0 row 2 : 11/16/2013 \| 1:00 pm \| at miami (oh) \| millett hall • oxford \| None \| l 39-55 \| 406 \| 1-2 row 3 : 11/26/2013 \| 7:00 pm \| purdue calumet \| emil and patricia jones \| csu tv \| l 62-68 \| 279 \| 1-5 row 4 : 12/01/2013 \| 2:00 pm \| western michigan \| emil and patricia jones \| csu tv \| l 49-67 \| 242 \| 1-6 row 5 : 12/06/2013 \| 3:30 pm \| vs. valparaiso \| savage arena • toledo, \| None \| l 50-74 \| None \| 1-7 row 6 : 12/07/2013 \| 1:00 pm \| vs. detroit \| savage arena • toledo, \| None \| l 64-85 \| None \| 1-8 row 7 : 12/20/2013 \| 6:00 pm \| at southern illinois \| siu arena • carbondale, il \| None \| w 55-51 \| 405 \| 2-8 row 8 : 12/31/2013 \| 2:00 pm \| loyola \| emil and patricia jones \| csu tv \| l 63-77 \| 316 \| 2-10 row 9 : 01/02/2014 \| 7:00 pm \| seattle \| emil and patricia jones \| csu tv \| l 58-85 \| 202 \| 2-11 (0-1) row 10 : 01/04/2014 \| 2:00 pm \| idaho \| emil and patricia jones \| csu tv \| l 42-92 \| 200 \| 2-12 (0-2) row 11 : 01/08/2014 \| 7:00 pm \| indiana northwest \| emil and patricia jones \| csu tv \| w 68-50 \| 212 \| 3-12 row 12 : 01/11/2014 \| 2:00 pm \| at umkc \| municipal auditorium • kansas city \| None \| l 60-83 \| 380 \| 3-13 (0-3) row 13 : 01/16/2014 \| 7:00 pm \| at new mexico state \| pan american center • las cruces, \| None \| l 61-82 \| 942 \| 3-14 (0-4) row 14 : 01/30/2014 \| 8:00 pm \| at grand canyon \| gcu arena • phoenix, \| cox7 \| l 53-84 \| 581 \| 3-18 (0-8) row 15 : 02/13/2014 \| 7:00 pm \| texas-pan american \| emil and patricia jones \| csu tv \| l 52-75 \| 207 \| 3-20 (0-10) row 16 : 02/20/2014 \| 8:00 pm \| at utah valley \| uccu center • orem, \| None \| l 62-84 \| 191 \| 3-22 (0-12) row 17 : 02/22/204 \| 3:00 pm \| at cal state bakersfield \| icardo center • bakersfield \| None \| l 58-99 \| 213 \| 3-23 (0-13) ] Execute this SQL based on the above table: select ( select date where tv = 'csu tv' ) = ( select date where tv = 'csu tv' )	1
[ header: year \| location \| men's winner \| men's runner-up \| score \| women's winner \| women's runner-up \| score row 1 : 2003 \| london \| western \| mcgill \| 1-0 \| western \| mcgill \| 4-3 row 2 : 2004 \| kingston \| western \| mcgill \| 2-1 \| mcgill \| western \| 2-1 row 3 : 2005 \| montreal \| toronto \| queen's \| 2-1 \| mcgill \| queen's \| 1-0 row 4 : 2006 \| toronto \| western \| queen's \| 3-0 \| mcgill \| western \| 6-2 row 5 : 2007 \| london \| western \| mcgill \| 1-0 \| mcgill \| queen's \| 1-0 row 6 : 2008 \| toronto \| mcgill \| toronto \| 2-0 \| mcgill \| toronto \| 3-1 row 7 : 2009 \| london ontario \| western \| mcgill \| 2-1 \| mcgill \| queen's \| 3-0 row 8 : 2010 \| kingston \| mcgill \| queen's \| 2-1 \| mcgill \| toronto \| 1-0 row 9 : 2011 \| montreal \| toronto \| mcgill \| p-p \| toronto \| mcgill \| p-p row 10 : 2012 \| toronto \| toronto \| western \| 1-1 (5-4 pk) \| mcgill \| western \| 2-1 row 11 : 2013 \| london \| queen's \| western \| 1-1 (4-2 pk) \| toronto \| mcgill \| 0-0 (4-3 pk) ] Execute this SQL based on the above table: select women's winner where score = '1-1 (4-2 pk)' order by id desc limit 1	toronto
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select max ( number ) - min ( number )	111.0
[ header: event \| gold \| silver \| bronze \| total \| ranking row 1 : 1976 winter paralympics \| 10 \| 1 \| 1 \| 12 \| 2nd row 2 : 1984 winter paralympics \| 4 \| 2 \| 3 \| 9 \| 5th row 3 : 1988 winter paralympics \| 5 \| 16 \| 16 \| 37 \| 7th row 4 : 1992 winter paralympics \| 3 \| 8 \| 4 \| 15 \| 8th row 5 : 1994 winter paralympics \| 2 \| 9 \| 5 \| 16 \| 11th row 6 : 1998 winter paralympics \| 10 \| 5 \| 8 \| 23 \| 6th row 7 : 2002 winter paralympics \| 6 \| 4 \| 2 \| 12 \| 7th row 8 : 2006 winter paralympics \| 0 \| 1 \| 1 \| 2 \| 13th row 9 : 2010 winter paralympics \| 1 \| 2 \| 0 \| 3 \| 13th ] Execute this SQL based on the above table: select event where event in ( 'izabal' , '2010 winter paralympics' ) order by silver desc limit 1	2010 winter paralympics
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select total seats where total seats != 28 and seats won = ( select seats won where total seats = 28 )	27
[ header: season \| competition \| round \| club \| home \| away \| aggregate row 1 : 2010-11 \| uefa europa league \| q3 \| motherwell \| 1-1 \| 0-3 \| 1-4 row 2 : 2011-12 \| uefa europa league \| q1 \| neath \| 4-1 \| 2-0 \| 6-1 row 3 : 2011-12 \| uefa europa league \| q2 \| ferencvaros \| 3-1(aet) \| 1-2 \| 4-3 row 4 : 2011-12 \| uefa europa league \| q3 \| elfsborg \| 4-0 \| 1-1 \| 5-1 row 5 : 2011-12 \| uefa europa league \| play-off \| az \| 2-1 \| 0-6 \| 2-7 row 6 : 2012-13 \| uefa europa league \| q2 \| tirana \| 5-0 \| 1-1 \| 6-1 row 7 : 2012-13 \| uefa europa league \| q3 \| apoel \| 0-1 \| 1-2 \| 1-3 ] Execute this SQL based on the above table: select season where club = 'ferencvaros'	2011-12
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select division where tier = 4 order by tier desc limit 1	3a
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select count ( points ) where points = 8	2
[ header: year \| competition \| venue \| position \| notes row 1 : 1995 \| world indoor championships \| barcelona, spain \| 11th \| pentathlon row 2 : 1996 \| olympic games \| atlanta, georgia, us \| 24th \| heptathlon row 3 : 1997 \| world championships \| athens, greece \| 16th \| heptathlon row 4 : 1998 \| european indoor championships \| valencia, spain \| 7th \| pentathlon row 5 : 1998 \| european championships \| budapest, hungary \| 14th \| heptathlon row 6 : 2000 \| olympic games \| sydney, australia \| dnf \| heptathlon ] Execute this SQL based on the above table: select competition order by competition asc limit 1	european championships
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select count ( * ) where tribunal = 662	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( league ) where year < 1690	0
[ header: date \| racecourse \| distance \| race status \| race \| position \| winning distance (lengths) \| jockey \| rating \| going \| odds \| prize money row 1 : april 10, 2004 \| kempton park \| 8f \| listed \| snowdrop fillies stakes \| 2nd to beneventa \| None \| johnny murtagh \| 114 \| good to soft \| 4/11f \| £6,600 row 2 : april 24, 2004 \| sandown park \| 8f \| group 2 \| betfred mile \| 3rd to hurricane alan \| None \| johnny murtagh \| 114 \| good to soft \| 5/2f \| £11,000 row 3 : may 22, 2004 \| curragh \| 8f \| group 2 \| ridgewood pearl stakes \| 1st \| 6 \| johnny murtagh \| None \| good to firm \| 11/10f \| £56,760.56 row 4 : june 15, 2004 \| royal ascot \| 8f \| group 1 \| queen anne stakes \| 2nd to refuse to bend \| None \| johnny murtagh \| 114 \| good to firm \| 6/1 \| £55,000 row 5 : july 6, 2004 \| newmarket \| 8f \| group 1 \| falmouth stakes \| 1st \| 21⁄2 \| johnny murtagh \| 114 \| good to firm \| 11/4 \| £116,000 row 6 : july 28, 2004 \| goodwood \| 8f \| group 1 \| sussex stakes \| 1st \| nk \| johnny murtagh \| 115 \| good \| 3/1 \| £174,000 row 7 : september 11, 2004 \| leopardstown \| 8f \| group 1 \| matron stakes \| 1st \| 1⁄2 \| johnny murtagh \| None \| good to firm \| 8/13f \| £119,014.08 row 8 : september 25, 2004 \| ascot \| 8f \| group 1 \| qeii stakes \| 6th to rakti \| None \| johnny murtagh \| 120 \| good to firm \| 5/2f \| £3,750 ] Execute this SQL based on the above table: select race where race != 'betfred mile' and rating = ( select rating where race = 'betfred mile' )	snowdrop fillies stakes, queen anne stakes, falmouth stakes
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select rank where gold = 1	13.0, 14.0, 15.0, 16.0, 17.0
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select playoffs where id = ( select id where avg. attendance = 5628 ) + 1	quarterfinals
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select count ( * ) where opponent = 'daniela hantuchova'	1
[ header: game \| day \| date \| kickoff \| opponent \| results score \| results record \| location \| attendance row 1 : 1 \| saturday \| november 9 \| 7:05pm \| at detroit waza \| w 8-7 (ot) \| 1-0 \| melvindale civic center \| 545 row 2 : 2 \| sunday \| november 10 \| 3:05pm \| at cleveland freeze \| l 3-11 \| 1-1 \| soccer sportsplex \| 703 row 3 : 3 \| saturday \| november 16 \| 7:35pm \| detroit waza \| l 5-8 \| 1-2 \| farm show arena \| 1605 row 4 : 4 \| saturday \| november 23 \| 7:05pm \| cleveland freeze \| l 7-10 \| 1-3 \| farm show arena \| 1050 row 5 : 5 \| saturday \| november 30 \| 7:05pm \| cincinnati saints \| w 8-6 \| 2-3 \| farm show arena \| 1458 row 6 : 6 \| saturday \| december 21 \| 7:05pm \| detroit waza \| w 9-8 \| 3-3 \| farm show arena \| 1590 row 7 : 7 \| sunday \| december 22 \| 4:05pm \| at cleveland freeze \| l 4-12 \| 3-4 \| soccer sportsplex \| 431 row 8 : 8 \| saturday \| december 28 \| 7:05pm \| cleveland freeze \| l 5-12 \| 3-5 \| farm show arena \| 1581 row 9 : 9 \| saturday \| january 11 \| 7:35pm \| at cincinnati saints \| l 8-9 \| 3-6 \| tri-county soccerplex \| 421 row 10 : 10 \| sunday \| january 12 \| 3:05pm \| at detroit waza \| l 6-12 \| 3-7 \| melvindale civic center \| 356 row 11 : 11 \| saturday \| january 18 \| 7:05pm \| cincinnati saints \| w 10-5 \| 4-7 \| farm show arena \| 2209 row 12 : 12 \| friday \| january 24 \| 7:05pm \| chicago mustangs \| l 7-13 \| 4-8 \| farm show arena \| 1895 row 13 : 13 \| saturday \| january 25 \| 7:05pm \| chicago mustangs \| l 5-12 \| 4-9 \| farm show arena \| 2373 row 14 : 14 \| saturday \| february 8 \| 8:35pm \| at illinois piasa \| l 3-4 \| 4-10 \| the field sports complex \| 206 row 15 : 15 \| sunday \| february 9 \| 5:05pm \| at chicago mustangs \| l 3-14 \| 4-11 \| grand sports arena \| 748 row 16 : 16 \| sunday \| february 16 \| 4:05pm \| at dallas sidekicks \| l 3-13 \| 4-12 \| allen event center \| 4207 ] Execute this SQL based on the above table: select day where game > 6	sunday, saturday, saturday, sunday, saturday, friday, saturday, saturday, sunday, sunday
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select name where name in ( 'natalie coughlin' , 'noriko inada' ) and nationality = 'united states'	natalie coughlin
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select year where award = '8th soap opera digest awards'	1992
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select single order by chart positions polish charts desc limit 1	"radioactive"
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| chesterfield \| 1-0 \| nottingham forest \| 15 february 1997 row 2 : 2 \| leicester city \| 2-2 \| chelsea \| 16 february 1997 row 3 : replay \| chelsea \| 1-0 \| leicester city \| 26 february 1997 row 4 : 3 \| derby county \| 3-2 \| coventry city \| 26 february 1997 row 5 : 4 \| manchester city \| 0-1 \| middlesbrough \| 15 february 1997 row 6 : 5 \| bradford city \| 0-1 \| sheffield wednesday \| 16 february 1997 row 7 : 6 \| wimbledon \| 2-1 \| queens park rangers \| 15 february 1997 row 8 : 7 \| leeds united \| 2-3 \| portsmouth \| 15 february 1997 row 9 : 8 \| birmingham city \| 1-3 \| wrexham \| 15 february 1997 ] Execute this SQL based on the above table: select max ( tie no )	8.0
[ header: year \| national champion \| score \| runner-up \| host or site row 1 : 2001 \| ucla \| 5-4 \| stanford \| stanford university, avery aquatic center row 2 : 2002 \| stanford \| 8-4 \| ucla \| usc, mcdonald' row 3 : 2003 \| ucla (2) \| 4-3 \| stanford \| uc san diego, canyon row 4 : 2004 \| usc \| 10-8 \| loyola marymount \| stanford university, avery aquatic center row 5 : 2005 \| ucla (3) \| 3-2 \| stanford \| university of michigan, canham nat row 6 : 2006 \| ucla (4) \| 9-8 \| usc \| uc davis, schaal row 7 : 2007 \| ucla (5) \| 5-4 \| stanford \| long beach state, joint forces training base, los row 8 : 2008 \| ucla (6) \| 6-3 \| usc \| stanford university, avery aquatic center row 9 : 2009 \| ucla (7) \| 5-4 \| usc \| university of maryland, eppley recreation row 10 : 2010 \| usc (2) \| 10-9 \| stanford \| san diego state, az row 11 : 2011 \| stanford (2) \| 9-5 \| california \| university of michigan, canham nat row 12 : 2012 \| stanford (3) \| 6-4 \| usc \| san diego state, az row 13 : 2013 \| usc (3) \| 10-9 5ot \| stanford \| harvard university, blodget row 14 : 2014 \| None \| None \| None \| usc, uytengsu ] Execute this SQL based on the above table: select score where runner-up = 'usc'	9-8, 6-3, 5-4, 6-4
[ header: year \| title \| role \| notes row 1 : 1982 \| voyager from the unknown \| phineas bogg \| None row 2 : 1982-1983 \| voyagers! \| phineas bogg \| 20 episodes row 3 : 1983 \| making of a male model \| tyler burnett \| television movie row 4 : 1984 \| hotel \| prince erik \| episode: "tomorrows" row 5 : 1984 \| the bear \| pat trammell \| None row 6 : 1984 \| cover up \| mac harper \| 7 episodes ] Execute this SQL based on the above table: select count ( notes )	4
[ header: date \| sub \| flight \| dead \| hurt \| pax. \| type \| perpetrator \| description row 1 : 27-jun-76 \| \| air france - 193 tl \| 4 \| 10 \| 260 \| hijacking -- hostage taking (8 days) \| pflp-eo (palestinian \| -hijacking in israeli row 2 : 23-nov-85 \| \| egypt air - 6 \| 58 \| 20 \| 95 \| hijacking -- hostage taking (2 days) \| abu nidal organisation \| -hijacking in greek air ] Execute this SQL based on the above table: select sub order by hurt desc limit 1	@NULL@
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select heat where heat = 'sf 2'	sf 2, sf 2
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select division where place = '1st'	3a aficio, 1a aficio
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select position order by year desc limit 1	5th
[ header: year \| location \| attendance \| theme phrase \| top messages \| host \| opening general session guest(s) \| closing general session guest(s) \| sunday night reception \| wednesday night party \| cult shirt row 1 : 1993 \| orlando \| 2300 \| working together \| None \| don bulens \| geoffrey moore \| None \| None \| disney-mgm \| None row 2 : 1994 \| no event \| None \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 1997 \| nice, france \| None \| pool of knowledge \| don't compete with, embrace the web. \| ray ozzie \| avery brooks \| None \| None \| magic kingdom the doobie brothers \| None row 4 : 1998 \| orlando \| None \| cultivate your senses \| notes r5 \| steve beckhardt \| jamie clark alan hobson \| bill nye \| None \| disney-mgm earth, wind \| None row 5 : 1999 \| orlando \| None \| lotus: a part of every solution \| notes r5 knowledge management \| jeff papows \| jim lovell gene krantz \| marc salem \| None \| seaworld the pointer sisters \| None row 6 : 2000 \| orlando \| 10000 \| looking forward/forward looking \| raven domino access for microsoft outlook \| jeff papows > al \| walter cronkite \| the raspyni brothers \| None \| universal's islands of adventure chicago \| notes world order row 7 : 2001 \| orlando \| 10000 \| in the know \| lotus k-station lotus discovery server \| al zollar \| al franken francis ford cop \| umbilical brothers \| None \| disney's wide world of sports complex \| domino survivor row 8 : 2003 \| orlando \| None \| the essential human element \| nextgen db2 \| al zollar > ambuj go \| rudy giuliani bounce (dan \| dr. ronan t \| None \| magic kingdom \| just-us league & collaboration league row 9 : 2004 \| orlando \| 5273 \| the workplace for innovation \| None \| ambuj goyal \| patrick stewart \| richard jeni \| None \| universal studios florida \| cult shirt on human row 10 : 2006 \| orlando \| 6000 \| futureinsight \| workplace activities sametime 7.5 \| mike rhodin \| jason alexander \| jim gaffigan \| poker tables \| seaworld \| cult man group row 11 : 2008 \| orlando \| 7000 \| emergence \| notes/domino 8.01, 8.5 \| mike rhodin \| bob costas orlando \| alton brown \| beach party \| universal's islands of adventure \| pirates of collaboration row 12 : 2010 \| orlando \| None \| lotus knows why. lotus knows how \| None \| bob picciano > alistair \| william shatner nutt \| brian cox (physicist \| None \| hollywood studios \| None row 13 : 2011 \| orlando \| None \| get social. do business \| None \| alistair rennie \| kevin spacey mass ensemble \| watson \| None \| wizarding world of harry potter, \| None row 14 : 2013 \| orlando \| None \| get social. do business \| None \| alistair rennie \| joe gordon-levitt \| steven strogatz john ho \| None \| universal studios florida \| no cult shirt ] Execute this SQL based on the above table: select count ( closing general session guest(s) ) where year = 1998	1
[ header: state \| passed \| referendum \| vote row 1 : s. carolina \| december 20, 1860 \| None \| None row 2 : mississippi \| january 9, 1861 \| None \| None row 3 : florida \| january 10, 1861 \| None \| None row 4 : alabama \| january 11, 1861 \| None \| None row 5 : georgia \| january 19, 1861 \| None \| None row 6 : louisiana \| january 26, 1861 \| None \| None row 7 : texas \| february 1, 1861 \| february 23 \| 46,153-14,747 row 8 : virginia \| april 17, 1861 \| may 23 \| 132,201-37,451 row 9 : arkansas \| may 6, 1861 \| None \| None row 10 : tennessee \| may 6, 1861 \| june 8 \| 104,471-47,183 row 11 : n. carolina \| may 20, 1861 \| None \| None row 12 : missouri \| october 31, 1861 \| None \| None row 13 : kentucky \| november 20, 1861 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where referendum = 749	0
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 6 \| michael andretti \| newman-haas racing \| 150 \| 1:33:39.268 \| 8 \| 20+1 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 150 \| 0.075 \| 1 \| 16+1 row 3 : 3 \| 1 \| alex zanardi \| chip ganassi racing \| 150 \| 0.918 \| 6 \| 14 row 4 : 4 \| 11 \| christian fittipaldi \| newman-haas racing \| 150 \| 3.359 \| 4 \| 12 row 5 : 5 \| 20 \| scott pruett \| patrick racing \| 150 \| 5.257 \| 12 \| 10 row 6 : 6 \| 40 \| adrian fernandez \| patrick racing \| 150 \| 5.926 \| 5 \| 8 row 7 : 7 \| 5 \| gil de ferran \| walker racing \| 150 \| 6.81 \| 11 \| 6 row 8 : 8 \| 8 \| bryan herta \| team rahal \| 150 \| 9.866 \| 16 \| 5 row 9 : 9 \| 27 \| dario franchitti \| team kool green \| 150 \| 10.275 \| 13 \| 4 row 10 : 10 \| 17 \| mauricio gugelmin \| pacwest racing group \| 150 \| 10.855 \| 10 \| 3 row 11 : 11 \| 33 \| patrick carpentier \| forsythe racing \| 150 \| 11.382 \| 9 \| 2 row 12 : 12 \| 18 \| mark blundell \| pacwest racing group \| 150 \| 29.029 \| 7 \| 1 row 13 : 13 \| 10 \| richie hearn \| della penna motorsports \| 149 \| +1 lap \| 15 \| None row 14 : 14 \| 9 \| jj lehto \| hogan racing \| 149 \| +1 lap \| 29 \| None row 15 : 15 \| 15 \| roberto moreno \| project indy \| 149 \| +1 lap \| 23 \| None row 16 : 16 \| 12 \| jimmy vasser \| chip ganassi racing \| 148 \| +2 laps \| 3 \| None row 17 : 17 \| 3 \| andre ribeiro \| marlboro team penske \| 148 \| +2 laps \| 2 \| None row 18 : 18 \| 36 \| alex barron \| all american racing \| 148 \| +2 laps \| 27 \| None row 19 : 19 \| 7 \| bobby rahal \| team rahal \| 147 \| +3 laps \| 17 \| None row 20 : 20 \| 98 \| p. j. jones \| all american racing \| 146 \| +4 laps \| 26 \| None row 21 : 21 \| 77 \| arnd meier \| davis racing \| 136 \| +14 laps \| 28 \| None row 22 : 22 \| 2 \| al unser, jr \| marlboro team penske \| 122 \| transmission \| 14 \| None row 23 : 23 \| 24 \| hiro matsushita \| arciero-wells racing \| 121 \| contact \| 24 \| None row 24 : 24 \| 16 \| helio castro-neves \| bettenhausen racing \| 97 \| contact \| 22 \| None row 25 : 25 \| 34 \| dennis vitolo \| payton/coyne racing \| 90 \| withdrew \| 25 \| None row 26 : 26 \| 25 \| max papis \| arciero-wells racing \| 83 \| wheel bearing \| 20 \| None row 27 : 27 \| 26 \| paul tracy \| team kool green \| 79 \| suspension \| 21 \| None row 28 : 28 \| 19 \| michel jourdain jr \| payton/coyne racing \| 78 \| handling \| 19 \| None row 29 : 29 \| 21 \| tony kanaan \| tasman motorsports group \| 32 \| contact \| 18 \| None ] Execute this SQL based on the above table: select time/retired where team = 'hogan racing'	1.0
[ header: branding \| callsign \| frequency \| power (kw) \| location row 1 : mom's radio 97.9 lao \| dwsn-fm \| 97.9 mhz \| 5 kw \| laoag row 2 : mom's radio 95.9 naga \| dzrb-fm \| 95.9 mhz \| 10 kw \| naga row 3 : mom's radio 90.3 bacolod \| dycp-fm \| 90.3 mhz \| 5 kw \| bacolod row 4 : dyap 88.3 ce \| dyap-fm \| 88.3 mhz \| 5 kw \| cebu row 5 : mom's radio 101.5 tacloban \| dyjp-fm \| 101.5 mhz \| 2.5 kw \| tacloban row 6 : mom's radio 101.9 zamboang \| dxjp-fm \| 101.9 mhz \| 5 kw \| zamboanga row 7 : dxss 97.9 da \| dxss \| 97.9 mhz \| 10 kw \| davao ] Execute this SQL based on the above table: select branding group by branding order by count ( callsign ) desc limit 1	mom's radio 97.9 laoag
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 30 \| 8:00 pm \| vs. alabama \| #9 \| georgia dome • atlanta, \| abc \| l 10-34 \| 70097 row 2 : september 6 \| 3:30 pm \| the citadel \| #22 \| memorial stadium • clemson, s \| None \| w 45-17 \| 76794 row 3 : september 13 \| 12:00 pm \| nc state \| #23 \| memorial stadium • clemson, s \| raycom \| w 27-9 \| 77071 row 4 : september 20 \| 1:00 pm \| sc state \| #21 \| memorial stadium • clemson, s \| None \| w 54-0 \| 78607 row 5 : september 27 \| 12:00 pm \| maryland \| #19 \| memorial stadium • clemson, s \| raycom \| l 17-20 \| 81500 row 6 : october 9 \| 7:45 pm \| at wake forest \| None \| bb&t field • winston- \| espn \| l 7-12 \| 33988 row 7 : october 18 \| 12:00 pm \| georgia tech \| None \| memorial stadium • clemson, s \| espn \| l 17-21 \| 81500 row 8 : november 1 \| 3:30 pm \| at boston college \| None \| alumni stadium • chestnut hill, ma (o \| espnu \| w 27-21 \| 41863 row 9 : november 8 \| 3:30 pm \| at #24 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 27-41 \| 77013 row 10 : november 15 \| 12:00 pm \| duke \| None \| memorial stadium • clemson, s \| raycom \| w 31-7 \| 76217 row 11 : november 22 \| 12:00 pm \| at virginia \| None \| scott stadium • charlottesville, \| raycom \| w 13-3 \| 51979 row 12 : november 29 \| 12:00 pm \| south carolina \| None \| memorial stadium • clemson, s \| espn2 \| w 31-14 \| 82456 row 13 : january 1, 2009 \| 1:00 pm \| vs. nebraska \| None \| jacksonville municipal stadium • jackson \| cbs \| l 21-26 \| 67282 ] Execute this SQL based on the above table: select site order by time desc limit 1	memorial stadium • clemson, sc (textile bowl/hall of fame day)
[ header: year \| location(s) \| number of contestants \| ladies winner \| men's winner row 1 : 1965 \| skane, blekinge, \| 156 \| sweden inga-britt \| sweden nils bohman row 2 : 1966 \| smaland (4), vastergot \| 672 \| sweden kerstin gran \| finland juhani salmenky row 3 : 1967 \| motala \| 1 910 \| sweden ulla lindk \| sweden kalle johan row 4 : 1968 \| boras \| 3 250 \| sweden ulla lindk \| norway age hadler row 5 : 1970 \| kristianstad \| 6 378 \| sweden ulla lindk \| sweden bernt fril row 6 : 1972 \| eksjo \| 8 253 \| sweden ulla lindk \| sweden hans aurell row 7 : 1975 \| haninge \| 9 322 \| sweden anne lundmark \| finland matti makinen row 8 : 1976 \| ransater \| 14 843 \| hungary sarolta mon \| sweden gert pettersson row 9 : 1977 \| visby \| 7 186 \| finland liisa veija \| norway sigurd dæhli row 10 : 1979 \| orebro \| 15 842 \| sweden britt-marie \| sweden lars-henrik row 11 : 1981 \| mohed \| 18 983 \| sweden annichen kring \| sweden jorgen martens row 12 : 1982 \| lulea \| 13 631 \| sweden annichen kring \| sweden lars lon row 13 : 1985 \| falun \| 25 021 \| sweden annichen kring \| sweden joakim ingel row 14 : 1986 \| boras \| 17 353 \| sweden annichen kring \| sweden anders erik row 15 : 1989 \| ostersund \| 17 818 \| sweden barbro lonn \| sweden niklas lowe row 16 : 1991 \| arboga \| 16 581 \| sweden arja hannus \| sweden hakan eriks row 17 : 1992 \| sodertalje \| 17 806 \| sweden gunilla svar \| denmark allan mogensen row 18 : 1994 \| ornskoldsvik \| 14 414 \| sweden katarina \| norway petter thoresen row 19 : 1996 \| karlstad \| 17 007 \| sweden annika zell \| sweden jorgen martens row 20 : 1997 \| umea \| 11 179 \| sweden katarina \| sweden jorgen martens row 21 : 1998 \| gavle \| 13 249 \| norway hanne staff \| sweden johan ivar row 22 : 1999 \| borlange \| 15 238 \| sweden jenny jo \| sweden fredrik lowe row 23 : 2003 \| uddevalla \| 14 998 \| united kingdom heather monro \| finland mats haldin row 24 : 2005 \| skillingaryd \| 12 657 \| sweden emma eng \| sweden emil wingsted ] Execute this SQL based on the above table: select men's winner where men's winner = 'sweden hakan eriksson'	sweden hakan eriksson
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select count ( number ) where number >= 758	0
[ header: month \| day \| visitor \| score \| home \| score row 1 : dec \| 28 \| spokane \| 5 \| portland \| 4 row 2 : jan \| 1 \| portland \| 7 \| seattle \| 4 row 3 : jan \| 4 \| vancouver \| 3 \| portland \| 5 row 4 : jan \| 8 \| seattle \| 1 \| spokane \| 5 row 5 : jan \| 11 \| spokane \| 1 \| seattle \| 3 row 6 : jan \| 14 \| portland \| 4 \| vancouver \| 5 row 7 : jan \| 16 \| vancouver \| 3 \| seattle \| 12 row 8 : jan \| 18 \| portland \| 3 \| spokane \| 5 row 9 : jan \| 22 \| vancouver \| 8 \| spokane \| 5 row 10 : jan \| 25 \| spokane \| 5 \| portland \| 4 row 11 : jan \| 28 \| seattle \| 2 \| vancouver \| 3 row 12 : jan \| 30 \| spokane \| 2 \| seattle \| 4 row 13 : feb \| 4 \| seattle \| 5 \| vancouver \| 6 (10:45 ot) row 14 : feb \| 6 \| portland \| 3 \| seattle \| 9 row 15 : feb \| 8 \| vancouver \| 4 \| portland \| 8 row 16 : feb \| 11 \| portland \| 3 \| vancouver \| 6 row 17 : feb \| 13 \| vancouver \| 1 \| seattle \| 3 row 18 : feb \| 15 \| seattle \| 2 \| portland \| 4 row 19 : feb \| 18 \| seattle \| 1 \| vancouver \| 8 row 20 : feb \| 20 \| portland \| 2 \| seattle \| 6 row 21 : feb \| 22 \| vancouver \| 1 \| portland \| 2 (20:20 ot) row 22 : feb \| 25 \| portland \| 4 \| vancouver \| 9 row 23 : feb \| 27 \| vancouver \| 1 \| seattle \| 2 (22:20 ot) row 24 : march \| 1 \| seattle \| 3 \| portland \| 1 row 25 : march \| 4 \| portland \| 4 \| vancouver \| 8 row 26 : march \| 6 \| vancouver \| 3 \| seattle \| 4 (2:58 ot) row 27 : march \| 8 \| seattle \| 6 \| portland \| 9 ] Execute this SQL based on the above table: select ( select visitor where home = 'portland' ) = ( select visitor where home = 'seattle' )	0
[ header: name \| parentage \| size \| flower colour \| flower type row 1 : cornish snow \| cuspidata × saluenens \| 04.0m2 \| white \| single row 2 : cornish spring \| cuspidata × saluenens \| 04.0m2 \| pink \| single row 3 : francie l \| reticulata × saluen \| 64.0m2 \| rose-pink \| double row 4 : freedom bell \| × williamsii \| 06.5m2 \| red \| semi-double row 5 : inspiration \| reticulata × saluen \| 10.0m2 \| rose-pink \| semi-double row 6 : leonard messel \| reticulata × saluen \| 16.0m2 \| rose-pink \| semi-double row 7 : royalty \| japonica × reticulata \| 01.0m2 \| light red \| semi-double row 8 : spring festival \| × williamsii, cu \| 10.0m2 \| pink \| semi-double row 9 : tom knudsen \| japonica × reticulata \| 06.3m2 \| deep red \| double paeony row 10 : tristrem carlyon \| reticulata \| 10.0m2 \| rose-pink \| double paeony ] Execute this SQL based on the above table: select count ( size ) where flower type = 'semi-double'	5
[ header: name \| completed \| architect \| location \| year of listing & ref(s) row 1 : 46-48 brown street \| 1868 \| george truefitt \| None \| None row 2 : 50 newton street \| circa 1900 \| clegg & knowles \| newton street, piccadilly \| 1988 row 3 : 53 king street \| 1912 \| charles heathcote \| king street \| None row 4 : albert hall \| 1910 \| w. j. morley \| peter street \| None row 5 : ancoats hospital \| 1891 \| lewis and crawcroft \| ancoats \| 1974 row 6 : apollo theatre \| 1930 \| None \| ardwick \| 1994 row 7 : barlow hall \| 15th century (altered since) \| None \| chorlton-cum-hardy \| 1974 (downgraded in 1994) row 8 : barnes hospital \| 1875 \| lawrence booth \| didsbury \| 1998 row 9 : bridgewater house \| 1912 \| harry fairhurst \| whitworth street \| None row 10 : cis tower \| 1962 \| gordon tait \| miller street \| 1995 row 11 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 12 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 13 : cooperative press \| late 19th century \| None \| naples street, ancoats \| 1994 row 14 : corn exchange \| 1903 \| None \| exchange square \| 1973 row 15 : derros building \| 1899 \| william sharpe \| great ancoats street \| 1998 row 16 : greenhayes centre \| 1896 \| None \| moss side \| 1994 row 17 : hanover building \| 1909 \| f.e.l harris \| corporation street \| 1988 row 18 : holyoake house \| 1911 \| f.e.l harris \| dantzic street \| 1988 row 19 : national and provoncial building society \| circa. 1910 \| c. r. cockerell \| king street \| 1974 row 20 : manchester deansgate railway station \| 1896 \| None \| None \| 1998 row 21 : manchester oxford road railway station \| 1960 \| w. r. headley and max \| oxford road \| 1995 row 22 : manchester victoria station \| 1844 \| None \| hunts bank \| 1988 row 23 : palace theatre \| 1891 \| alfred derbyshire and f. \| oxford street \| 1977 row 24 : the ritz \| 1927 \| None \| whitworth street \| 1994 row 25 : royal exchange \| 1921 \| bradshaw, gass & hope \| cross street \| None row 26 : redfern building \| 1936 \| w. a. johnson and \| dantzic street \| 1994 row 27 : sackville street building \| 1912 \| spalding and cross \| sackville street \| 1974 row 28 : st. james buildings \| 1912 \| clegg, fryer & penman \| 65-95 oxford street \| 1988 row 29 : st mary's hospital \| 1909 \| john ely \| wilmslow road \| 1994 row 30 : smithfield market hall \| 1857 \| None \| swan street, ancoats \| 1973 row 31 : strangeways prison ventilation and watch tower \| 1868 \| alfred waterhouse \| sherborne street \| 1974 row 32 : theatre royal \| 1845 \| irwin and chester \| peter street \| 1974 row 33 : the old wellington inn \| mid-16th century \| None \| shambles square \| 1952 row 34 : whitworth park mansions \| circa 1840s \| None \| whitworth park \| 1974 ] Execute this SQL based on the above table: select year of listing & ref(s) where name = 'derros building'	1998
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select pos where points not null	1, 2, 3, 4, 5, 6, 7, 8
[ header: place \| athlete \| nation \| best mark \| throw 1 \| throw 2 \| throw 3 \| throw 4 \| throw 5 \| throw 6 row 1 : 1 \| tamara press \| soviet union \| 18.14 metres \| 17.51 \| 17.72 \| 17.18 \| 16.49 \| None \| 18.14 row 2 : 2 \| renate culmberger \| germany \| 17.61 metres \| 17.41 \| 17.1 \| 16.38 \| 17.61 \| 17 \| 17.01 row 3 : 3 \| galina zybina \| soviet union \| 17.45 metres \| 17.38 \| 17.25 \| 17.45 \| 17.42 \| 16.65 \| 17.36 row 4 : 4 \| valerie young \| new zealand \| 17.26 metres \| 17.08 \| 15.84 \| 16.81 \| 17.26 \| 17.24 \| 17.23 row 5 : 5 \| margitta helmbold \| germany \| 16.91 metres \| 16.67 \| 15.87 \| None \| 16.6 \| 16.91 \| 16.34 row 6 : 6 \| irina press \| soviet union \| 16.71 metres \| None \| 16.5 \| None \| 15.81 \| 15.78 \| 16.71 row 7 : 7 \| nancy mccredie \| canada \| 15.89 metres \| 15.89 \| 15.13 \| 15.27 \| None \| None \| None row 8 : 8 \| ana salagean \| romania \| 15.83 metres \| 15.79 \| 15.83 \| 15.7 \| None \| None \| None row 9 : 9 \| johanna hubner \| germany \| 15.77 metres \| 15.77 \| None \| None \| None \| None \| None row 10 : 10 \| ivanka khristova \| bulgaria \| 15.69 metres \| 15.69 \| None \| 15.35 \| None \| None \| None row 11 : 11 \| judit bognar \| hungary \| 15.65 metres \| 15.65 \| None \| None \| None \| None \| None row 12 : 12 \| earlene brown \| united states \| 14.80 metres \| 14.25 \| 13.43 \| 14.8 \| None \| None \| None ] Execute this SQL based on the above table: select ( select min ( throw 2 ) where throw 2 > '15.13' ) - '15.13'	0.6999999999999993
[ header: star \| start year \| end year \| maximum year \| maximum magnitude \| distance at maximum (ly) \| current distance \| current magnitude row 1 : epsilon canis majoris \| None \| -4,460,000 \| -4,700,000 \| -3.99 \| 34 \| 430 \| 1.5 row 2 : beta canis majoris \| -4,460,000 \| -3,700,000 \| -4,420,000 \| -3.65 \| 37 \| 500 \| 1.99 row 3 : canopus (first time) \| -3,700,000 \| -1,370,000 \| -3,110,000 \| -1.86 \| 177 \| 310 \| -0.72 row 4 : zeta sagittarii \| -1,370,000 \| -1,080,000 \| -1,200,000 \| -2.74 \| 8 \| 89.1 \| 2.6 row 5 : zeta leporis \| -1,080,000 \| -950,000 \| -1,050,000 \| -2.05 \| 5.3 \| 70 \| 3.55 row 6 : canopus (second time) \| -950,000 \| -420,000 \| -950,000 \| -1.09 \| 252 \| 310 \| -0.72 row 7 : aldebaran \| -420,000 \| -210,000 \| -320,000 \| -1.54 \| 21.5 \| 65 \| 0.85 row 8 : capella \| -210,000 \| -160,000 \| -240,000 \| -0.82 \| 27.9 \| 42.2 \| 0.08 row 9 : canopus (third time) \| -160,000 \| -90,000 \| -160,000 \| -0.7 \| 302 \| 310 \| -0.72 row 10 : sirius (current) \| -90,000 \| +210,000 \| +60,000 \| -1.64 \| 7.8 \| 8.6 \| -1.46 row 11 : vega \| +210,000 \| +480,000 \| +290,000 \| -0.81 \| 17.2 \| 25.04 \| 0.03 row 12 : canopus (fourth time) \| +480,000 \| +990,000 \| +480,000 \| -0.4 \| 346 \| 310 \| -0.72 row 13 : beta aurigae \| +990,000 \| +1,150,000 \| +1,190,000 \| -0.4 \| 28.5 \| 82.1 \| 1.9 row 14 : delta scuti \| +1,150,000 \| +1,330,000 \| +1,250,000 \| -1.84 \| 9.2 \| 187 \| 4.72 row 15 : gamma draconis \| +1,330,000 \| +2,030,000 \| +1,550,000 \| -1.39 \| 27.7 \| 154 \| 2.36 row 16 : upsilon librae \| +2,030,000 \| +2,670,000 \| +2,290,000 \| -0.46 \| 30 \| 195 \| 3.6 row 17 : nr canis majoris \| +2,670,000 \| +3,050,000 \| +2,870,000 \| -0.88 \| 14 \| 280 \| 5.6 row 18 : omicron herculis \| +3,050,000 \| +3,870,000 \| +3,470,000 \| -0.63 \| 44 \| 346 \| 3.83 row 19 : beta cygni \| +3,870,000 \| None \| +4,610,000 \| -0.52 \| 80 \| 390 \| 3.18 ] Execute this SQL based on the above table: select distance at maximum (ly) order by current distance desc limit 1	37
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre \| notes row 1 : primislao, primo re di \| dramma per musica \| 3 acts \| giulio cesare corradi \| 1697, autumn \| venice, teatro s \| music lost row 2 : aminta \| dramma regio pastorale \| 3 acts \| apostolo zeno \| 1703, autumn \| florence, cocomero \| music lost row 3 : il piu fedel tra \| dramma per musica \| 3 acts \| francesco silvani \| 1705, autumn \| genoa, falcone \| music lost row 4 : la prosperita di elio \| dramma per musica \| 3 acts \| nicolo minato \| 1707, carnival \| genoa, falcone \| music lost row 5 : la fortezza al cimento \| melodramma \| 2 acts \| francesco silvani \| 1707 \| piacenza, ducale \| music lost row 6 : engelberta \| dramma per musica \| 3 acts \| apostolo zeno and pi \| 1709, carnival \| venice, teatro s \| 4th and 5th acts by francesco row 7 : ciro \| dramma per musica \| 3 acts \| pietro pariati \| 1710, carnival \| venice, teatro s \| music lost row 8 : il tiranno eroe \| dramma per musica \| 3 acts \| vincenzo cassani \| 1711, carnival \| venice, teatro s \| None row 9 : le gare generose \| dramma per musica \| 3 acts \| antonio zaniboni \| 1712, autumn \| venice, teatro s \| music lost, except five arias row 10 : eumene \| dramma per musica \| 3 acts \| antonio salvi \| 1717, autumn \| venice, teatro s \| music lost, except one aria row 11 : meleagro \| dramma per musica \| 3 acts \| pietro antonio bern \| 1718, carnival \| venice, teatro s \| music lost row 12 : scipione nelle spagne \| dramma per musica \| 3 acts \| apostolo zeno \| 1724, ascension \| venice, teatro s \| music lost row 13 : didone abbandonata \| tragedia \| 3 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 14 : l'impresario delle is \| intermezzo \| 2 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 15 : ardelinda \| dramma \| 3 acts \| bartolomeo vitturi \| 1732, autumn \| venice, teatro s \| music lost, except five arias row 16 : artamene \| dramma per musica \| 3 acts \| bartolomeo vitturi \| 1741, carnival \| venice, teatro s \| music lost ] Execute this SQL based on the above table: select place, theatre where title = 'il piu fedel tra i vassalli' and subdivisions = ( select subdivisions where place, theatre = 'venice, teatro san giovanni grisostomo' )	genoa, falcone
[ header: round \| circuit \| location \| date \| pole position \| fastest lap \| winning driver \| headline event row 1 : 1 \| albert whitted airport \| st. petersburg, florid \| february 23 \| leonardo maia \| dan di leo \| leonardo maia \| grand prix of st. petersburg row 2 : 2 \| fundidora park \| monterrey \| march 23 \| leonardo maia \| david martinez \| david martinez \| monterrey grand prix row 3 : 3 \| milwaukee mile \| west allis, wisconsin \| june 1 \| victor gonzalez, j \| scott poirier \| leonardo maia \| milwaukee mile centennial 250 row 4 : 4 \| mazda raceway laguna sec \| monterey, californi \| june 15 \| memo rojas \| leonardo maia \| dan di leo \| grand prix of monterey row 5 : 5 \| portland international raceway \| portland, oregon \| june 22 \| leonardo maia \| leonardo maia \| leonardo maia \| g.i. joe's row 6 : 6 \| burke lakefront airport \| cleveland, ohio \| july 5 \| leonardo maia \| leonardo maia \| leonardo maia \| u.s. bank cleveland row 7 : 7 \| exhibition place \| toronto \| july 13 \| leonardo maia \| leonardo maia \| memo rojas \| molson indy toronto row 8 : 8 \| concord pacific place \| vancouver \| july 27 \| leonardo maia \| david martinez \| leonardo maia \| molson indy vancouver row 9 : 9 \| mid-ohio sports car course \| lexington, ohio \| august 3 \| leonardo maia \| leonardo maia \| leonardo maia \| champ car grand prix of mid-ohi row 10 : 10 \| circuit gilles villeneuve \| montreal \| august 24 \| memo rojas \| leonardo maia \| memo rojas \| molson indy montreal ] Execute this SQL based on the above table: select date where round = 9	august 3
[ header: # \| title \| producers \| guest performers \| length row 1 : 1 \| "throw aways" \| maj & sosa \| gorilla zoe & y \| 3:11 row 2 : 2 \| "i'm a gangsta" \| drew \| None \| 4:16 row 3 : 3 \| "life goes on interlude #1 \| None \| lil' duval \| 0:58 row 4 : 4 \| "screwed up" \| mr. lee \| lil' wayne \| 5:02 row 5 : 5 \| "against all odds" \| q-stone \| 2pac \| 4:22 row 6 : 6 \| "life goes on interlude #2 \| None \| lil' duval \| 1:12 row 7 : 7 \| "nuthin' 2 a boss" \| i.n.f.o. \| slim thug \| 3:59 row 8 : 8 \| "life goes on" \| goichi & mike dean \| l. boogie \| 4:11 row 9 : 9 \| "smile" \| sean t \| jadakiss & styles p \| 4:32 row 10 : 10 \| "life goes on interlude #3 \| None \| lil' duval \| 1:12 row 11 : 11 \| "give my last breathe intro" \| mike dean \| None \| 1:40 row 12 : 12 \| "give my last breathe" \| mr. lee \| None \| 4:23 row 13 : 13 \| "gittin' high" \| mr. rogers \| None \| 4:06 row 14 : 14 \| "life goes on interlude #4 \| None \| lil' duval \| 1:00 row 15 : 15 \| "ghetto queen" \| i.n.f.o. \| lloyd & rich boy \| 5:00 row 16 : 16 \| "million bucks" \| platinum hands \| jay'ton & lil \| 4:43 row 17 : 17 \| "c me ride" \| nitti \| None \| 4:51 row 18 : 18 \| "i'm good" \| i.n.f.o. \| jody breeze \| 4:21 row 19 : 19 \| "the truth" \| i.n.f.o. \| None \| 4:07 row 20 : 20 \| "life goes on" (outro) \| None \| lil' duval \| 0:38 ] Execute this SQL based on the above table: select count ( producers ) where length > '4:21'	0
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select time where nationality = 'brazil'	54.63
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select nation order by bronze desc limit 1	total
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select street address order by id desc limit 1	80 8th street south
[ header: term (french) \| description \| temperature range \| temperature range \| usda recommended row 1 : extra-rare or blue (bleu) \| very red and cold \| 46-49 °c \| 115-120 °f \| None row 2 : rare (saignant) \| cold red center; soft \| 52-55 °c \| 125-130 °f \| None row 3 : medium rare (a point) \| warm red center; firmer \| 55-60 °c \| 130-140 °f \| 145 °f row 4 : medium (demi-anglais) \| pink and firm \| 60-65 °c \| 140-150 °f \| 160 °f row 5 : medium well (cuit) \| small amount of pink in the center \| 65-69 °c \| 150-155 °f \| None row 6 : well done (bien cuit) \| gray-brown throughout; firm \| 71-100 °c \| 160-212 °f \| 170 °f row 7 : over cooked (trop cuit, carbonise \| blacken throughout; hard \| > 100 °c \| > 212 °f \| 300 °f ] Execute this SQL based on the above table: select count ( distinct description )	7
[ header: # \| title \| producer(s) \| performer (s) \| sample(s) \| length row 1 : 1 \| "likwit" \| e-swift, th \| tash, j-ro, \| "ode to billy joe" \| 2:34 row 2 : 2 \| "only when i'm drunk" \| e-swift, th \| j-ro, tash, \| "seven minutes of funk" by \| 3:36 row 3 : 3 \| "last call" \| e-swift, king \| tash, j-ro, \| "the payback" by james brown \| 4:37 row 4 : 4 \| "can't tell me shit" \| derick "d. pimp" willi \| e-swift, j \| "think(about it)" by ly \| 4:09 row 5 : 5 \| "turn tha party out" \| lootpack, tha alka \| lootpack, tash, \| "synthetic substitution" by mel \| 3:19 row 6 : 6 \| "bullshit" \| king tee, e- \| j-ro, king t \| "it's a new day" by \| 3:27 row 7 : 7 \| "soda pop" \| e-swift, king \| e-swift, field trip \| "hard times" by baby huey "s \| 2:48 row 8 : 8 \| "make room" \| e-swift, th \| j-ro, tash \| "sing a simple song" by \| 3:28 row 9 : 9 \| "mary jane" \| lootpack, tha alka \| j-ro, tash \| "mary jane" by rick \| 3:31 row 10 : 10 \| "who dem niggas" \| e-swift, th \| threat, e-swift, \| "take me to the mardi gras" by \| 3:46 ] Execute this SQL based on the above table: select producer(s) order by # asc limit 1	e-swift, tha alkaholiks
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where shoot location = 'smff se-ma-for łodz, poland'	smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select name of place where name of place in ( 'andrews' , 'anthonyville' ) order by number of counties asc limit 1	andrews
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( distinct opponent ) where record = '6-6-3'	1
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select men's winner where men's winner != 'philip singoei (ken)' and women's winner = ( select women's winner where men's winner = 'philip singoei (ken)' )	geoffrey mutai (ken)
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select division where cup < ( select cup where division = 'nelonen' ) order by cup desc limit 1	kutonen
[ header: date \| tournament \| winner \| purse ($) \| notes row 1 : 25 feb \| pinamar open \| miguel rodriguez \| 70000 \| None row 2 : 3 mar \| south open \| rafael gomez \| 100000 \| None row 3 : 10 mar \| parana open \| julio zapata \| 70000 \| None row 4 : 8 apr \| norpatagonico open \| luciano dodda (amateur \| None \| pga argentina- no row 5 : 15 apr \| center open \| angel cabrera \| 200000 \| co-sanctioned by the row 6 : 22 apr \| angel cabrera classic \| rafael gomez \| 120000 \| None row 7 : 29 apr \| chaco open \| fabian gomez \| 70000 \| None row 8 : 9 jun \| north open \| ricardo gonzalez, \| 80000 \| None row 9 : 10 jul \| metropolitano open \| jose coceres \| None \| pga argentina- no row 10 : 11 aug \| misiones open \| sergio acevedo \| 70000 \| None row 11 : 19 aug \| carlos franco invitational \| marco ruiz \| 93000 \| None row 12 : 29 sep \| salta open \| andres romero \| 80000 \| None row 13 : 7 oct \| tandil open \| diego ortiz \| 70000 \| None row 14 : 27 oct \| argentine masters \| angel cabrera \| 420000 \| co-sanctioned by the row 15 : 4 nov \| mendoza open \| rafael echen \| 80000 \| None row 16 : 11 nov \| roberto de vicenzo classic \| miguel guzman \| 120000 \| None row 17 : 25 nov \| san luis open \| emilio dominguez \| 450000 \| co-sanctioned by the row 18 : 2 dec \| abierto del litoral \| miguel rodriguez \| 520000 \| co-sanctioned by the row 19 : 9 dec \| argentine open \| marco ruiz \| 600000 \| co-sanctioned by the ] Execute this SQL based on the above table: select winner where winner != 'diego ortiz' and purse ($) = ( select purse ($) where winner = 'diego ortiz' )	miguel rodriguez, julio zapata, fabian gomez, sergio acevedo
[ header: type \| diagonal (mm) \| width (mm) \| height (mm) \| area (mm2) \| stops (area) \| crop factor row 1 : 1/10" \| 1.6 \| 1.28 \| 0.96 \| 1.23 \| -9.51 \| 27.04 row 2 : 1/8" \| 2 \| 1.6 \| 1.2 \| 1.92 \| -8.81 \| 21.65 row 3 : 1/3.2" (iphone 5) \| 5.68 \| 4.54 \| 3.42 \| 15.5 \| -5.8 \| 7.61 row 4 : 1/3" (iphone 5s) \| 6 \| 4.8 \| 3.6 \| 17.3 \| -5.64 \| 7.21 row 5 : 1/2.7" \| 6.72 \| 5.37 \| 4.04 \| 21.7 \| -5.31 \| 6.44 row 6 : super 8mm film frame \| 7.04 \| 5.79 \| 4.01 \| 23.22 \| -5.24 \| 6.15 row 7 : 1/2.3" (pentax q) \| 7.66 \| 6.17 \| 4.55 \| 28.5 \| -4.92 \| 5.64 row 8 : 1/2" (fujifilm hs \| 8 \| 6.4 \| 4.8 \| 30.7 \| -4.81 \| 5.41 row 9 : 1/1.8" (nokia \| 8.93 \| 7.18 \| 5.32 \| 38.2 \| -4.5 \| 4.84 row 10 : 1/1.7" (pentax q7) \| 9.5 \| 7.6 \| 5.7 \| 43.3 \| -4.32 \| 4.55 row 11 : 1/1.6" \| 10.07 \| 8.08 \| 6.01 \| 48.56 \| -4.15 \| 4.3 row 12 : 2/3" (nokia lumia \| 11 \| 8.8 \| 6.6 \| 58.1 \| -3.89 \| 3.93 row 13 : standard 16mm film frame \| 12.7 \| 10.26 \| 7.49 \| 76.85 \| -3.49 \| 3.41 row 14 : blackmagic pocket cinema camera \| 14.32 \| 12.48 \| 7.02 \| 87.6 \| -3.3 \| 3.02 row 15 : super 16mm film frame \| 14.54 \| 12.52 \| 7.41 \| 92.8 \| -3.22 \| 2.97 row 16 : 1" nikon cx, son \| 15.86 \| 13.2 \| 8.8 \| 116 \| -2.9 \| 2.72 row 17 : 1.5" canon g1x \| 23.36 \| 18.7 \| 14 \| 262 \| -1.72 \| 1.85 row 18 : blackmagic production camera 4k \| 24.23 \| 21.12 \| 11.88 \| 251 \| -1.78 \| 1.79 row 19 : canon ef-s, a \| 26.7 \| 22.2 \| 14.8 \| 329 \| -1.39 \| 1.62 row 20 : canon aps-h \| 33.5 \| 27.9 \| 18.6 \| 519 \| -0.73 \| 1.29 row 21 : 35mm full-frame, (nikon \| 43.2-43.3 \| 36 \| 23.9-24.3 \| 860-864 \| 0 \| 1 row 22 : standard 65mm film frame \| 57.3 \| 52.48 \| 23.01 \| 1208 \| 0.81 \| 0.76 row 23 : medium-format (hasselblad h \| 67.08 \| 53.7 \| 40.2 \| 2159 \| 1.26 \| 0.65 row 24 : phase one p 65+, iq \| 67.4 \| 53.9 \| 40.4 \| 2178 \| 1.33 \| 0.64 ] Execute this SQL based on the above table: select type order by type desc limit 1	super 8mm film frame
[ header: year \| title \| role \| notes row 1 : 1984 \| no small affair \| mona \| film debut row 2 : 1985 \| moving violations \| amy hopkins \| None row 3 : 1987 \| inside out \| amy \| None row 4 : 1988 \| johnny be good \| connie hisler \| None row 5 : 1988 \| high spirits \| miranda \| None row 6 : 1989 \| let it ride \| vicki \| None row 7 : 1989 \| the fabulous baker boys \| blanche "monica" moran \| None row 8 : 1991 \| the doors \| okie girl \| uncredited row 9 : 1991 \| scorchers \| talbot \| None row 10 : 1992 \| shadow of the wolf \| igiyook \| None row 11 : 1993 \| made in america \| stacy \| None row 12 : 1994 \| bullets over broadway \| olive neal \| None row 13 : 1994 \| embrace of the vampire \| marika \| None row 14 : 1995 \| bird of prey \| kily griffith \| None row 15 : 1995 \| man with a gun \| rena rushton/kathy \| None row 16 : 1996 \| the pompatus of love \| tarzaan \| None row 17 : 1996 \| house arrest \| cindy figler \| None row 18 : 1996 \| bound \| violet \| None row 19 : 1996 \| american strays \| patty mae \| None row 20 : 1997 \| liar liar \| samantha cole \| None row 21 : 1997 \| edie & pen \| edie piper \| None row 22 : 1997 \| bella mafia \| moyra luciano \| None row 23 : 1997 \| the wrong guy \| lynn holden \| None row 24 : 1998 \| relax...it's just sex \| tara ricotto \| None row 25 : 1998 \| hoods \| mary crippa \| None row 26 : 1998 \| bride of chucky \| tiffany \| None row 27 : 1998 \| music from another room \| nina \| None row 28 : 1999 \| goosed \| charlene \| None row 29 : 1999 \| do not disturb \| cathryn \| None row 30 : 1999 \| bartok the magnificent \| piloff \| voice only direct-to-video row 31 : 1999 \| play it to the bone \| ringside fan \| None row 32 : 2000 \| cord \| helen \| None row 33 : 2000 \| bruno \| dolores \| None row 34 : 2000 \| dancing at the blue iguana \| jo \| None row 35 : 2000 \| the crew \| ferris 'aka maureen' low \| None row 36 : 2001 \| fast sofa \| ginger quail \| None row 37 : 2001 \| ball in the house \| dot \| None row 38 : 2001 \| the cat's meow \| louella parsons \| None row 39 : 2003 \| the haunted mansion \| madame leota \| None row 40 : 2003 \| jericho mansions \| donna cherry \| None row 41 : 2004 \| second best \| carole \| None row 42 : 2004 \| perfect opposites \| elyse steinberg \| None row 43 : 2004 \| home on the range \| grace \| voice only row 44 : 2004 \| el padrino \| sebeva \| None row 45 : 2004 \| love on the side \| alma kerns \| None row 46 : 2005 \| lil' pimp \| miss de la croix \| voice only row 47 : 2005 \| the civilization of maxwell bright \| dr. o'shannon \| None row 48 : 2005 \| tideland \| queen gunhilda \| None row 49 : 2006 \| the poker movie \| herself \| None row 50 : 2007 \| intervention \| None \| None row 51 : 2008 \| deal \| karen 'razor' jo \| None row 52 : 2008 \| the caretaker \| miss perry \| None row 53 : 2008 \| inconceivable \| salome 'sally' marsh \| None ] Execute this SQL based on the above table: select title group by title order by count ( * ) desc limit 1	tideland
[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select hometown where id = ( select id where hometown = 'belfast' ) + 1	drumbo
[ header: ship name \| in service \| project number \| type \| class \| comments row 1 : lenin \| 1959 \| 92m \| icebreaker \| None \| decommissioned 1989. museum ship row 2 : arktika \| 1975 \| 1052-1 \| icebreaker \| arktika \| not operational row 3 : sibir \| 1977 \| 1052-2 \| icebreaker \| arktika \| defueled and not operational since 1993 row 4 : rossiya \| 1985 \| 10521-1 \| icebreaker \| arktika \| None row 5 : sevmorput \| 1988 \| 10081 \| container ship \| None \| has ice-breaking bow row 6 : taymyr \| 1989 \| 10580-1 \| river icebreaker \| taymyr \| None row 7 : sovetskiy soyuz \| 1990 \| 10521-2 \| icebreaker \| arktika \| None row 8 : vaygach \| 1990 \| 10580-2 \| river icebreaker \| taymyr \| None row 9 : yamal \| 1993 \| 10521-3 \| icebreaker \| arktika \| None row 10 : 50 let pobedy \| 2007 \| 10521 \| icebreaker \| arktika \| built as ural, completed in 2007 ] Execute this SQL based on the above table: select in service where in service = 1990	1990, 1990
[ header: party \| votes \| % \| seats \| +/- row 1 : swedish social democratic party \| 1914426 \| 36.4 \| 131 \| -30 row 2 : moderate party \| 1204926 \| 22.9 \| 82 \| 2 row 3 : left party \| 631011 \| 12 \| 43 \| 21 row 4 : christian democrats \| 619046 \| 11.8 \| 42 \| 27 row 5 : centre party \| 269762 \| 5.1 \| 18 \| -9 row 6 : liberal people's party \| 248076 \| 4.7 \| 17 \| -9 row 7 : green party \| 236699 \| 4.5 \| 16 \| -2 row 8 : sweden democrats \| 19624 \| 0.4 \| 0 \| 0 row 9 : other parties \| 117552 \| 2.2 \| 0 \| 0 row 10 : invalid/blank votes \| 113466 \| None \| None \| None row 11 : total \| 5374588 \| 100 \| 349 \| 0 row 12 : registered voters/turnout \| 6603129 \| 81.4 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where party = 'left party'	1
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select count ( nationality ) where nationality = 1278	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 6 \| 3 \| 7 \| 16 row 2 : 2 \| united states \| 5 \| 0 \| 4 \| 9 row 3 : 3 \| japan \| 3 \| 4 \| 1 \| 8 row 4 : 4 \| france \| 3 \| 1 \| 1 \| 5 row 5 : 5 \| ukraine \| 2 \| 0 \| 2 \| 4 row 6 : 6 \| turkey \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| sweden \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| iran \| 1 \| 2 \| 1 \| 4 row 9 : 9 \| armenia \| 1 \| 1 \| 2 \| 4 row 10 : 10 \| china \| 1 \| 1 \| 1 \| 3 row 11 : 11 \| austria \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| bulgaria \| 1 \| 0 \| 0 \| 1 row 13 : 11 \| south korea \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| germany \| 0 \| 3 \| 4 \| 7 row 15 : 15 \| kazakhstan \| 0 \| 3 \| 0 \| 3 row 16 : 16 \| cuba \| 0 \| 2 \| 3 \| 5 row 17 : 17 \| norway \| 0 \| 2 \| 0 \| 2 row 18 : 18 \| venezuela \| 0 \| 1 \| 1 \| 2 row 19 : 19 \| canada \| 0 \| 1 \| 0 \| 1 row 20 : 19 \| hungary \| 0 \| 1 \| 0 \| 1 row 21 : 19 \| israel \| 0 \| 1 \| 0 \| 1 row 22 : 19 \| moldova \| 0 \| 1 \| 0 \| 1 row 23 : 19 \| poland \| 0 \| 1 \| 0 \| 1 row 24 : 19 \| romania \| 0 \| 1 \| 0 \| 1 row 25 : 25 \| uzbekistan \| 0 \| 0 \| 1 \| 1 row 26 : total \| total \| 29 \| 29 \| 29 \| 87 ] Execute this SQL based on the above table: select count ( * ) where gold >= 10	1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select loss where # < 1788	bobby munoz (7-4), steve cooke (4-10), curt schilling (1-8), david west (4-9), doug jones (2-4), bobby munoz (7-5), danny jackson (14-6), mike remlinger (1-5), david west (4-10), mauro gozzo (3-5)
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 21 december 2004 \| rajamangala stadium, bang \| thailand \| 3–1 \| 5–1 \| friendly row 2 : 5 \| 15 june 2005 \| commerzbank-arena, \| australia \| 4–2 \| 4–3 \| fifa confederations cup 2005 row 3 : 7 \| 29 june 2005 \| zentralstadion, leip \| mexico \| 1–0 \| 4–3 \| fifa confederations cup 2005 row 4 : 9 \| 7 september 2005 \| olympiastadion \| south africa \| 3–1 \| 4–2 \| friendly row 5 : 10 \| 7 september 2005 \| olympiastadion \| south africa \| 4–2 \| 4–2 \| friendly row 6 : 11 \| 27 may 2006 \| badenova stadion, freiburg \| luxembourg \| 3–0 \| 7–0 \| friendly row 7 : 12 \| 27 may 2006 \| badenova stadion, freiburg \| luxembourg \| 5–0 \| 7–0 \| friendly row 8 : 14 \| 24 june 2006 \| allianz arena, munich, germany \| sweden \| 1–0 \| 2–0 \| fifa world cup 2006 row 9 : 19 \| 6 september 2006 \| stadio olimpico, ser \| san marino \| 8–0 \| 13–0 \| uefa euro 2008 qualifying row 10 : 22 \| 11 october 2006 \| tehelne pole stad \| slovakia \| 4–1 \| 4–1 \| uefa euro 2008 qualifying row 11 : 23 \| 12 september 2007 \| rhein-energie stadion \| romania \| 3–1 \| 3–1 \| friendly row 12 : 24 \| 17 november 2007 \| awd arena, hanover, \| cyprus \| 3–0 \| 4–0 \| uefa euro 2008 qualifying row 13 : 27 \| 8 june 2008 \| worthersee stadion, k \| poland \| 2–0 \| 2–0 \| uefa euro 2008 row 14 : 28 \| 12 june 2008 \| worthersee stadion, k \| croatia \| 1–2 \| 1–2 \| uefa euro 2008 row 15 : 30 \| 6 september 2008 \| rheinpark stadion, \| liechtenstein \| 2–0 \| 6–0 \| fifa world cup 2010 qualifying row 16 : 31 \| 11 october 2008 \| signal iduna park, dortm \| russia \| 1–0 \| 2–1 \| fifa world cup 2010 qualifying row 17 : 33 \| 29 may 2009 \| shanghai stadium, shang \| china pr \| 1–1 \| 1–1 \| friendly row 18 : 37 \| 18 november 2009 \| veltins-arena, \| ivory coast \| 2–2 \| 2–2 \| friendly row 19 : 38 \| 29 may 2010 \| stadium puskas ferenc, \| hungary \| 1–0 \| 3–0 \| friendly row 20 : 39 \| 13 june 2010 \| moses mabhida stadium, d \| australia \| 1–0 \| 4–0 \| fifa world cup 2010 row 21 : 41 \| 7 september 2010 \| rheinenergiestadion, \| azerbaijan \| 2–0 \| 6–1 \| uefa euro 2012 qualifying ] Execute this SQL based on the above table: select date order by # desc limit 1	7 september 2010
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select bronze where bronze in ( 1 , 4 ) order by nation asc limit 1	1
[ header: seasons \| team \| ch.wins \| promotions \| relegations row 1 : 10 \| aurora basket jesi \| 0 \| 1 \| 1 row 2 : 10 \| andrea costa imola \| 0 \| 0 \| 3 row 3 : 9 \| nuova pallacanestro pavia \| 0 \| 0 \| 0 row 4 : 9 \| scafati basket \| 1 \| 1 \| 0 row 5 : 8 \| basket club ferrara \| 1 \| 1 \| 0 row 6 : 8 \| pallac. reggiana reggio e \| 2 \| 2 \| 0 row 7 : 7 \| novara \| 0 \| 0 \| 3 row 8 : 6 \| a.s. junior pallacane \| 1 \| 1 \| 1 row 9 : 5 \| rb montecatini terme \| 0 \| 0 \| 1 row 10 : 5 \| fabriano basket \| 0 \| 0 \| 1 row 11 : 5 \| societa veroli basket \| 0 \| 0 \| 0 row 12 : 5 \| pistoia basket 2000 \| 0 \| 0 \| 0 row 13 : 4 \| juve caserta basket \| 0 \| 1 \| 0 row 14 : 3 \| nuova sebastiani rieti \| 1 \| 1 \| 0 row 15 : 3 \| progresso castelmaggiore \| 0 \| 0 \| 0 row 16 : 3 \| orlandina basket \| 1 \| 1 \| 1 row 17 : 3 \| sutor basket montegranaro \| 0 \| 1 \| 1 row 18 : 3 \| virtus ragusa \| 0 \| 0 \| 1 row 19 : 3 \| robur basket osimo \| 0 \| 0 \| 1 row 20 : 3 \| reyer venezia \| 0 \| 1 \| 0 row 21 : 3 \| new basket brindisi \| 1 \| 2 \| 0 row 22 : 2 \| pallacanestro messina \| 0 \| 1 \| 0 row 23 : 2 \| basket trapani \| 0 \| 0 \| 1 row 24 : 2 \| basket draghi castelletto tic \| 0 \| 0 \| 0 row 25 : 2 \| pallalcesto amatori udin \| 0 \| 0 \| 0 row 26 : 2 \| unione cestistica casalpuster \| 0 \| 0 \| 0 row 27 : 2 \| basket barcellona \| 0 \| 0 \| 0 row 28 : 2 \| fulgor libertas forl \| 0 \| 0 \| 1 row 29 : 2 \| scaligera basket verona \| 0 \| 0 \| 1 row 30 : 1 \| societa sportiva basket n \| 1 \| 1 \| 0 row 31 : 1 \| centro sportivo borgomanero \| 0 \| 0 \| 0 row 32 : 1 \| teramo basket \| 1 \| 1 \| 0 row 33 : 1 \| virtus pallacanestro bo \| 0 \| 1 \| 0 row 34 : 1 \| victoria libertas pes \| 0 \| 1 \| 0 row 35 : 1 \| nuova pallacanestro vige \| 0 \| 0 \| 0 row 36 : 1 \| cestistica san sever \| 0 \| 0 \| 1 row 37 : 1 \| basket brescia leonessa \| 0 \| 0 \| 0 row 38 : 1 \| unione cestistica piacentin \| 0 \| 0 \| 0 row 39 : 1 \| ostuni basket \| 0 \| 0 \| 0 row 40 : 1 \| biancoblu basket bologna \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select count ( promotions ) where team is null	0
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select count ( division ) where place = '18th'	1
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select pol. where bbcb > ( select bbcb where pol. = 'v' ) order by bbcb limit 1	v
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| alex zanardi \| chip ganassi racing \| 95 \| 1:52:24.080 \| 2 \| 20 row 2 : 2 \| 6 \| michael andretti \| newman-haas racing \| 95 \| 1.921 \| 3 \| 16 row 3 : 3 \| 12 \| jimmy vasser \| chip ganassi racing \| 95 \| 6.702 \| 6 \| 14 row 4 : 4 \| 7 \| bobby rahal \| team rahal \| 95 \| 8.078 \| 9 \| 12 row 5 : 5 \| 8 \| bryan herta \| team rahal \| 95 \| 12.984 \| 17 \| 10 row 6 : 6 \| 20 \| scott pruett \| patrick racing \| 95 \| 14.607 \| 8 \| 8 row 7 : 7 \| 10 \| richie hearn \| della penna motorsports \| 95 \| 15.305 \| 13 \| 6 row 8 : 8 \| 25 \| max papis \| arciero-wells racing \| 95 \| 24.676 \| 20 \| 5 row 9 : 9 \| 40 \| adrian fernandez \| patrick racing \| 95 \| 31.923 \| 16 \| 4 row 10 : 10 \| 16 \| helio castro-neves \| bettenhausen racing \| 95 \| 32.691 \| 21 \| 3 row 11 : 11 \| 99 \| greg moore \| forsythe racing \| 95 \| 34.926 \| 12 \| 2 row 12 : 12 \| 17 \| mauricio gugelmin \| pacwest racing group \| 95 \| 37.64 \| 19 \| 1 row 13 : 13 \| 24 \| robby gordon \| arciero-wells racing \| 94 \| +1 lap \| 22 \| None row 14 : 14 \| 26 \| paul tracy \| team kool green \| 94 \| +1 lap \| 10 \| None row 15 : 15 \| 77 \| arnd meier \| davis racing \| 94 \| +1 lap \| 25 \| None row 16 : 16 \| 11 \| christian fittipaldi \| newman-haas racing \| 93 \| +2 laps \| 5 \| None row 17 : 17 \| 2 \| al unser, jr \| marlboro team penske \| 93 \| +2 laps \| 14 \| None row 18 : 18 \| 19 \| michel jourdain jr \| payton/coyne racing \| 93 \| +2 laps \| 24 \| None row 19 : 19 \| 98 \| p. j. jones \| all american racing \| 84 \| suspension \| 23 \| None row 20 : 20 \| 27 \| dario franchitti \| team kool green \| 79 \| brakes \| 1 \| 1+1 row 21 : 21 \| 34 \| gualter salles \| payton/coyne racing \| 65 \| contact \| 28 \| None row 22 : 22 \| 21 \| tony kanaan \| tasman motorsports group \| 61 \| fire \| 7 \| None row 23 : 23 \| 3 \| andre ribeiro \| marlboro team penske \| 54 \| transmission \| 11 \| None row 24 : 24 \| 9 \| jj lehto \| hogan racing \| 37 \| contact \| 26 \| None row 25 : 25 \| 33 \| patrick carpentier \| forsythe racing \| 33 \| suspension \| 18 \| None row 26 : 26 \| 18 \| mark blundell \| pacwest racing group \| 30 \| electrical \| 15 \| None row 27 : 27 \| 5 \| gil de ferran \| walker racing \| 26 \| contact \| 4 \| None row 28 : 28 \| 36 \| alex barron \| all american racing \| 25 \| contact \| 27 \| None ] Execute this SQL based on the above table: select ( select pos where driver = 'mauricio gugelmin' ) - ( select pos where driver = 'michel jourdain jr' )	-6.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select competition where # = 4	euro 2004 qualifier
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( * ) desc limit 1	uzbekistan
[ header: party \| previous council \| staying councillors \| seats up for election \| election result \| new council row 1 : conservatives \| 29 \| 19 \| 10 \| 8 \| 28 row 2 : labour \| 19 \| 13 \| 6 \| 10 \| 23 row 3 : socialist alternative \| 3 \| 2 \| 1 \| 0 \| 2 row 4 : liberal democrats \| 2 \| 1 \| 1 \| 0 \| 1 row 5 : british national party \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : green \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : independent \| 0 \| 0 \| 0 \| 0 \| 0 row 8 : respect \| 0 \| 0 \| 0 \| 0 \| 0 row 9 : total \| 54 \| 36 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select party where previous council < ( select previous council where party = 'labour' ) order by previous council desc limit 1	socialist alternative
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select derby winner where id = ( select id where derby winner = 'chivas' ) - 1	galaxy
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select where landmark name = 'ammo bunker (s-1007)'	3.0

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[ header: rank \| name \| caps \| goals \| years row 1 : 1 \| bedford jezzard \| 3 \| 6 \| 1954-1955 row 2 : 2 \| tommy taylor \| 2 \| 4 \| 1956 row 3 : 2 \| gordon hill \| 6 \| 4 \| 1978 row 4 : 2 \| alan smith \| 4 \| 4 \| 1990-1992 row 5 : 5 \| jack rowley \| 1 \| 3 \| 1949 row 6 : 5 \| brian talbot \| 6 \| 3 \| 1978-1980 row 7 : 5 \| paul merson \| 4 \| 3 \| 1991-1998 row 8 : 5 \| matthew le tissier \| 6 \| 3 \| 1990-1998 ] Execute this SQL based on the above table: select rank where name = 'bedford jezzard'	1.0
[ header: catalogue number \| artist \| release title \| format \| release date row 1 : eskaton 001 \| coil vs the eskaton \| nasa arab \| 12" vinyl \| 1994 row 2 : eskaton 002 \| coil vs elph \| born again pagans \| cd \| 1994 row 3 : eskaton 004 \| None \| (came with philm #1) \| poster \| 1995 row 4 : eskaton 005 \| None \| (chaosphere badge) \| badge \| 1995 row 5 : eskaton 006 \| elph vs coil \| worship the glitch \| cd \| 1996 row 6 : eskaton 007 \| elph vs coil \| worship the glitch \| 10" vinyl \| 1996 row 7 : eskaton 008 \| black light district \| a thousand lights in a darkened room \| cd \| 1996 row 8 : eskaton 010 \| time machines \| time machines \| cd \| 1998 row 9 : eskaton 11 \| coil \| spring equinox: moon's milk \| cd \| 1998 row 10 : eskaton 12 \| coil \| spring equinox: moon's milk \| 7" vinyl \| 1998 row 11 : eskaton 13 \| coil \| summer solstice: bee sting \| 7" vinyl \| 1998 row 12 : eskaton 14 \| coil \| summer solstice: bee sting \| cd \| 1998 row 13 : eskaton 15 \| coil \| autumn equinox: amethy \| 7" vinyl \| 1998 row 14 : eskaton 16 \| coil \| autumn equinox: amethy \| cd \| 1998 row 15 : eskaton 17 \| zos kia/coil \| transparent \| 12" vinyl \| 1998 row 16 : eskaton 18 \| coil \| winter solstice: north \| 7" vinyl \| 1999 row 17 : eskaton 19 \| coil \| winter solstice: north \| cd \| 1999 row 18 : eskaton 20 \| coil \| queens of the circulating library \| cd \| 2000 row 19 : eskaton 23 \| coil \| moons milk (in four phases) \| 2xcd \| 2001 row 20 : eskaton cd 24 \| coil \| coil presents time machines \| cd \| 2000 row 21 : eskaton 24 \| coil \| constant shallowness leads to evil \| cd \| 2001 row 22 : eskaton 26 \| thighpaulsandra \| i, thighpauls \| 2xcd, 2x12" vinyl \| 2001 row 23 : eskaton 27 \| thighpaulsandra \| the michel publicity window e.p \| cd, 7" vinyl \| 2001 row 24 : eskaton 28 \| time machines \| time machines \| 2x12" vinyl \| 2002 row 25 : eskaton 29 \| coil \| the golden hare with a voice of \| 2xcd \| 2002 row 26 : eskaton 30 \| black sun productions \| plastic spider thing \| cd \| 2002 row 27 : eskaton 31 \| None \| (unreleased) \| None \| None row 28 : eskaton 32 \| mount vernon astral temple \| musick that destroys itself \| cd \| 2003 row 29 : eskaton 033 \| coh \| love uncut \| cd \| 2000 row 30 : eskaton 34 \| coil \| ans \| cd-r \| 2003 row 31 : eskaton 077 \| coh \| above air \| cd \| 7 march 2006 ] Execute this SQL based on the above table: select count ( * ) where artist in ( 'None' , 'coil' )	14
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( song ) where year >= 8	14
[ header: rnd \| circuit \| lmp1 winning team lmp1 winning drivers \| lmp2 winning team lmp2 winning drivers \| gt1 winning team gt1 winning drivers \| gt2 winning team gt2 winning drivers \| results row 1 : 1 \| sebring \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #50 multimatic motorsports \| results row 2 : 1 \| sebring \| rinaldo capello tom \| clint field liz halliday \| oliver gavin olivier beretta \| scott maxwell david brabham \| results row 3 : 2 \| reliant park \| #2 audi sport north america \| #37 intersport racing \| #4 corvette racing \| #23 alex job racing \| results row 4 : 2 \| reliant park \| allan mcnish rinal \| clint field liz halliday \| oliver gavin olivier beretta \| mike rockenfeller klaus \| results row 5 : 3 \| mid-ohio \| #2 audi sport north america \| #7 penske racing \| #4 corvette racing \| #45 flying lizard motorsports \| results row 6 : 3 \| mid-ohio \| allan mcnish rinal \| timo bernhard roma \| oliver gavin olivier beretta \| johannes van overbeek wolf \| results row 7 : 4 \| lime rock \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #31 petersen/white lightning \| results row 8 : 4 \| lime rock \| allan mcnish rinal \| timo bernhard roma \| stephane sarrazin pedr \| jorg bergmeister patrick long \| results row 9 : 5 \| miller \| #1 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #62 risi competi \| results row 10 : 7 \| road america \| #1 audi sport north america \| #6 penske racing \| #3 corvette racing \| #31 petersen/white lightning \| results row 11 : 7 \| road america \| frank biela emanu \| sascha maassen tim \| ron fellows johnny \| jorg bergmeister patrick long mich \| results row 12 : 8 \| mosport \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results row 13 : 8 \| mosport \| allan mcnish rinal \| lucas luhr roma \| stephane sarrazin pedr \| stephane ortelli johnny \| results row 14 : 9 \| road atlanta \| #2 audi sport north america \| #6 penske racing \| #007 aston martin racing \| #31 petersen/white lightning \| results row 15 : 9 \| road atlanta \| allan mcnish rinal \| sascha maassen tim \| tomas enge darren turner \| jorg bergmeister patrick long \| results row 16 : 10 \| mazda raceway laguna sec \| #2 audi sport north america \| #7 penske racing \| #009 aston martin racing \| #62 risi competi \| results ] Execute this SQL based on the above table: select circuit order by results desc limit 1	sebring
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 14 \| robert doornbos \| minardi team usa \| 107 \| 1:45:07.617 \| 15 \| 31 row 2 : 2 \| 21 \| neel jani \| pkv racing \| 107 \| +6.1 secs \| 5 \| 27 row 3 : 3 \| 3 \| oriol servia \| forsythe racing \| 107 \| +6.9 secs \| 4 \| 26 row 4 : 4 \| 5 \| will power \| team australia \| 107 \| +7.5 secs \| 12 \| 23 row 5 : 5 \| 1 \| sebastien bourdais \| n/h/l racing \| 107 \| +8.0 secs \| 2 \| 21 row 6 : 6 \| 2 \| graham rahal \| n/h/l racing \| 107 \| +9.6 secs \| 6 \| 19 row 7 : 7 \| 19 \| bruno junqueira \| dale coyne racing \| 107 \| +14.0 secs \| 10 \| 17 row 8 : 8 \| 22 \| tristan gommendy \| pkv racing \| 107 \| +19.2 secs \| 8 \| 15 row 9 : 9 \| 42 \| jan heylen \| conquest racing \| 107 \| +28.5 secs \| 13 \| 13 row 10 : 10 \| 15 \| simon pagenaud \| team australia \| 107 \| +48.4 secs \| 9 \| 11 row 11 : 11 \| 3 \| paul tracy \| forsythe championship racing \| 105 \| + 2 laps \| 11 \| 10 row 12 : 12 \| 28 \| mario dominguez \| pacific coast motorsports \| 104 \| + 3 laps \| 14 \| 12 row 13 : 13 \| 22 \| justin wilson \| rsports \| 87 \| + 20 laps \| 1 \| 8 row 14 : 14 \| 29 \| alex figge \| pacific coast motorsports \| 34 \| contact \| 0 \| 7 row 15 : 15 \| 11 \| alex tagliani \| rsports \| 83 \| mechanical \| 8 \| 6 row 16 : 16 \| 11 \| katherine legge \| dale coyne racing \| 13 \| contact \| 16 \| 5 row 17 : 17 \| 4 \| dan clarke \| minardi team usa \| 3 \| contact \| 3 \| 4 ] Execute this SQL based on the above table: select team where team in ( '19' , 'n/h/l racing' ) group by team order by count ( team ) desc limit 1	n/h/l racing
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 14 \| 7:00 p.m \| at rhein fire \| w 15-3 \| 1-0 \| ltu arena \| 30355 row 2 : 2 \| sunday, april 22 \| 4:00 p.m \| hamburg sea devils \| l 7-16 \| 1-1 \| olympic stadium \| 30657 row 3 : 3 \| saturday, april 28 \| 6:00 p.m \| amsterdam admirals \| l 10-14 \| 1-2 \| olympic stadium \| 11942 row 4 : 4 \| saturday, may 5 \| 6:00 p.m \| at cologne centurions \| w 31-28 \| 2-2 \| rheinenergiestadion \| 10084 row 5 : 5 \| sunday, may 13 \| 4:00 p.m \| cologne centurions \| l 10-24 \| 2-3 \| olympic stadium \| 11995 row 6 : 6 \| sunday, may 20 \| 5:00 p.m \| at frankfurt galaxy \| l 7-35 \| 2-4 \| commerzbank-arena \| 30125 row 7 : 7 \| saturday, may 26 \| 6:00 p.m \| at hamburg sea devils \| l 7-17 \| 2-5 \| aol arena \| 18337 row 8 : 8 \| saturday, june 2 \| 6:00 p.m \| frankfurt galaxy \| l 22-25 \| 2-6 \| olympic stadium \| 11882 row 9 : 9 \| friday, june 8 \| 7:00 p.m \| rhein fire \| l 17-24 \| 2-7 \| olympic stadium \| 12114 row 10 : 10 \| friday, june 15 \| 8:00 p.m \| at amsterdam admirals \| l 20-21 \| 2-8 \| olympic stadium \| 11893 ] Execute this SQL based on the above table: select date where attendance > ( select attendance where date = 'saturday, may 5' ) and results final score = 'l 10-24' order by attendance asc limit 1	sunday, may 13
[ header: track number \| russian title \| english title \| music \| lyrics row 1 : 1 \| улыбнись \| smile! \| vitas \| d. plachkovsky row 2 : 2 \| блаженныи гу \| blessed guru \| vitas \| vitas row 3 : 3 \| восковые фиг \| wax figures \| vitas \| d. plachkovsky, vita row 4 : 4 \| плачет чужа \| someone's melancholy is crying \| vitas \| d. plachovsky row 5 : 5 \| аве мария \| ave maria \| franz schubert \| traditional prayer row 6 : 6 \| холодныи мир \| the cold world \| v. molchanov \| d. plachkovsky row 7 : 7 \| остров затонув \| the island of sunken ships \| o. gazmanov \| e. nebylova row 8 : 8 \| фантастические \| fantastic dreams \| vitas \| vitas, d. plachkov row 9 : 9 \| good-bye \| good-bye \| vitas \| vitas row 10 : 10 \| счастье \| happiness \| vitas \| vitas row 11 : 11 \| отцвели хриз \| chrysanthemums have fade \| n. harito \| v. shumsky row 12 : 12 \| дождь в тб \| rain in tbilisi \| vitas \| ratner row 13 : 13 \| слепои худо \| blind painter \| vitas \| d. plachkovsky, vita row 14 : 14 \| милая музыка \| lovely music \| vitas \| vitas row 15 : 15 \| белоруссия \| byelorussia \| alexandra pakhmutova \| n. dobronravov row 16 : 16 \| до свидания \| see you later (do svidani \| vitas \| vitas ] Execute this SQL based on the above table: select track number where track number in ( 5 , 9 ) and music = 'franz schubert'	5.0
[ header: player \| matches \| innings \| runs \| average \| 100s \| 50s row 1 : herbie hewett \| 10 \| 15 \| 543 \| 38.79 \| 1 \| 2 row 2 : lionel palairet \| 10 \| 14 \| 408 \| 29.14 \| 1 \| 1 row 3 : bill roe \| 8 \| 12 \| 316 \| 28.73 \| 0 \| 1 row 4 : george nichols \| 13 \| 18 \| 497 \| 27.61 \| 1 \| 3 row 5 : john challen \| 9 \| 14 \| 286 \| 20.43 \| 0 \| 1 row 6 : ted tyler \| 13 \| 18 \| 297 \| 18.56 \| 0 \| 0 row 7 : crescens robinson \| 9 \| 13 \| 162 \| 14.73 \| 0 \| 0 row 8 : albert clapp \| 11 \| 15 \| 159 \| 10.60 \| 0 \| 0 ] Execute this SQL based on the above table: select player order by average asc limit 1	albert clapp
[ header: \| name \| took office \| left office \| party \| notes/events row 1 : 11 \| william mccreery \| march 4, 1803 \| march 3, 1809 \| democratic republican \| None row 2 : 12 \| alexander mckim \| march 4, 1809 \| march 3, 1815 \| democratic republican \| None row 3 : 13 \| william pinkney \| march 4, 1815 \| april 18, 1816 \| democratic republican \| resigned to accept position as minister p row 4 : 14 \| peter little \| september 2, 1816 \| march 3, 1823 \| democratic republican \| None row 5 : 14 \| peter little \| march 4, 1823 \| march 3, 1825 \| jacksonian dr \| None row 6 : 14 \| peter little \| march 4, 1825 \| march 3, 1829 \| adams \| None row 7 : 15 \| benjamin c. howard \| march 4, 1829 \| march 3, 1833 \| jacksonian \| None ] Execute this SQL based on the above table: select count ( * ) where left office = 'march 3, 1809'	1
[ header: year \| song \| us r&b \| us rap \| album row 1 : 1991 \| "mistadobalina" \| 55 \| 6 \| i wish my brother george was here row 2 : 1991 \| "sleepin' on my couch" \| None \| None \| i wish my brother george was here row 3 : 1992 \| "dr. bombay.." \| None \| None \| i wish my brother george was here row 4 : 1993 \| "catch a bad one" \| None \| None \| no need for alarm row 5 : 1994 \| "wrong place" \| None \| 48 \| no need for alarm row 6 : 1999 \| "phoney phranchise" \| None \| 47 \| both sides of the brain row 7 : 2000 \| "if you must" \| None \| 27 \| both sides of the brain row 8 : 2008 \| "workin' it" \| None \| None \| eleventh hour row 9 : 2011 \| "one out of a million" \| None \| None \| golden era ] Execute this SQL based on the above table: select album where id = ( select id where album = 'no need for alarm' ) + 1	no need for alarm
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select count ( landmark name ) where summary = 'built by del e. webb construction company in 1942'	1
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select team order by no. limit 1	dale earnhardt, inc
[ header: year \| host \| gold \| silver \| bronze row 1 : 1976 \| paraguay (asuncion) \| brazil \| paraguay \| argentina row 2 : 1981 \| peru (lima) \| brazil \| colombia \| argentina row 3 : 1986 \| colombia (cucuta) \| brazil \| colombia \| peru row 4 : 1987 \| argentina (mar del plata) \| argentina \| brazil \| chile row 5 : 1990 \| ecuador (ibarra) \| brazil \| argentina \| ecuador row 6 : 1992 \| chile (santiago) \| brazil \| argentina \| colombia row 7 : 1995 \| brazil (sao ro \| colombia \| brazil \| argentina row 8 : 1996 \| ecuador (quito) \| argentina \| brazil \| colombia row 9 : 1998 \| chile (ancud) \| brazil \| argentina \| bolivia row 10 : 2000 \| venezuela (san feli \| brazil \| argentina \| venezuela row 11 : 2002 \| chile (santiago) \| ecuador \| chile \| paraguay row 12 : 2004 \| bolivia (quillacollo) \| brazil \| argentina \| bolivia row 13 : 2005 \| paraguay (asuncion) \| argentina \| brazil \| paraguay row 14 : 2007 \| venezuela (guanare) \| venezuela \| argentina \| brazil row 15 : 2009 \| chile (santiago) \| brazil \| chile \| argentina row 16 : 2011 \| colombia (pasto) \| colombia \| argentina \| brazil row 17 : 2013 \| ecuador (portoviejo) \| brazil \| argentina \| chile ] Execute this SQL based on the above table: select year where bronze = 'colombia'	1992, 1996
[ header: no. in series \| no. in season \| performer \| appearance \| air date row 1 : 268 \| 1 \| tom segura \| only \| 21 january 2011 row 2 : 269 \| 2 \| michael kosta \| only \| 21 january 2011 row 3 : 270 \| 3 \| sheng wang \| only \| 28 january 2011 row 4 : 271 \| 4 \| chelsea peretti \| only \| 28 january 2011 row 5 : 272 \| 5 \| chris d'elia \| only \| 4 february 2011 row 6 : 273 \| 6 \| nate bargatze \| only \| 4 february 2011 row 7 : 274 \| 7 \| hari kondabolu \| only \| 11 february 2011 row 8 : 275 \| 8 \| jack whitehall \| only \| 11 february 2011 row 9 : 276 \| 9 \| al jackson \| only \| 18 february 2011 row 10 : 277 \| 10 \| kyle kinane \| only \| 25 february 2011 row 11 : 278 \| 11 \| matt fulchiron \| only \| 25 february 2011 row 12 : 279 \| 12 \| mike vecchione \| only \| 4 march 2011 row 13 : 280 \| 13 \| jessi klein \| only \| 4 march 2011 row 14 : 281 \| 14 \| louis katz \| only \| 11 march 2011 row 15 : 282 \| 15 \| jay larson \| only \| 11 march 2011 row 16 : 283 \| 16 \| natasha leggero \| only \| 25 march 2011 ] Execute this SQL based on the above table: select appearance order by no. in series asc limit 1	only
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select count ( description ) where description = 'in internment camps' and description = '145615'	0
[ header: team #1 \| agg. \| team #2 \| 1st match \| 2nd match row 1 : topolniky \| 51 - 25 \| union landhaus \| 28 - 14 \| 23 - 11 row 2 : svendborg \| 41 - 30 \| goteborgs kvinnliga \| 17 - 15 \| 24 - 15 row 3 : tresnjevka \| 45 - 46 \| sekulic sombor \| 19 - 19 \| 26 - 27 row 4 : avtomobilist baku \| 62 - 37 \| ayete \| 25 - 15 \| 37 - 22 row 5 : bakony vegyesz \| 57 - 19 \| zurich \| 31 - 9 \| 26 - 10 row 6 : avanti lebbeke \| 23 - 35 \| niloc amsterdam \| 5 - 19 \| 18 - 16 row 7 : engelskirchen \| 27 - 34 \| vestar \| 15 - 15 \| 12 - 19 row 8 : empor rostock \| 70 - 19 \| conflans \| 40 - 8 \| 30 - 11 ] Execute this SQL based on the above table: select 1st match where 1st match = '15 - 15'	15 - 15
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select count ( club ) where club != 'nk zagreb' and apps = ( select apps where club = 'nk zagreb' )	0
[ header: week \| date \| kickoff \| opponent \| results final score \| results team record \| game site \| attendance row 1 : 1 \| saturday, april 13 \| 7:00 p.m \| at rhein fire \| w 27-21 \| 1-0 \| rheinstadion \| 32092 row 2 : 2 \| saturday, april 20 \| 7:00 p.m \| london monarchs \| w 37-3 \| 2-0 \| waldstadion \| 34186 row 3 : 3 \| sunday, april 28 \| 6:00 p.m \| at barcelona dragons \| w 33-29 \| 3-0 \| estadi olimpic de mont \| 17503 row 4 : 4 \| sunday, may 5 \| 7:00 p.m \| amsterdam admirals \| w 40-28 \| 4-0 \| waldstadion \| 28627 row 5 : 5 \| saturday, may 11 \| 7:00 p.m \| scottish claymores \| l 0-20 \| 4-1 \| waldstadion \| 32126 row 6 : 6 \| sunday, may 19 \| 3:00 p.m \| at london monarchs \| l 7-27 \| 4-2 \| white hart lane \| 10764 row 7 : 7 \| sunday, may 26 \| 3:00 p.m \| at scottish claymores \| l 17-20 \| 4-3 \| murrayfield stadium \| 13116 row 8 : 8 \| saturday, june 1 \| 7:00 p.m \| rhein fire \| l 8-31 \| 4-4 \| waldstadion \| 38798 row 9 : 9 \| saturday, june 8 \| 7:00 p.m \| barcelona dragons \| w 24-21 \| 5-4 \| waldstadion \| 33115 row 10 : 10 \| saturday, june 15 \| 6:30 p.m \| at amsterdam admirals \| w 28-20 \| 6-4 \| olympisch stadion \| 14062 row 11 : 11 \| sunday, june 23 \| 6:00 p.m \| at scottish claymores \| l 27-32 \| 6-5 \| murrayfield stadium \| 38982 ] Execute this SQL based on the above table: select count ( date ) where id > ( select id where game site = '7:00 p.m' )	0
[ header: year \| title \| credit \| role \| notes row 1 : 2005 \| new york doll \| producer \| None \| nominated for a grand jury prize in row 2 : 2005 \| cry_wolf \| producer \| None \| None row 3 : 2007 \| the king of kong: a fi \| director \| None \| accepted to slamdance and bought row 4 : 2008 \| four christmases \| director \| None \| None row 5 : 2010 \| freakonomics \| director and screenwriter \| None \| None row 6 : 2011 \| horrible bosses \| director \| cameo appearance \| None row 7 : 2011 \| undefeated \| producer \| example \| won the documentary oscar in 2012 row 8 : 2013 \| identity thief \| director \| None \| None row 9 : None \| wargames \| director \| None \| None row 10 : None \| uncharted \| director \| None \| None ] Execute this SQL based on the above table: select credit where credit = 'director'	director, director, director, director, director, director
[ header: order in position \| president of the republic \| length of the presidential action \| rank by length of term(s) \| notes row 1 : 1 \| k. j. stahlberg \| 5 years, 220 days \| 8 \| 1 term serving row 2 : 2 \| lauri kristian relander \| 6 years, 0 days one leap year (19 \| 6 \| 1 term serving row 3 : 3 \| p. e. svinh \| 5 years, 364 days two leap years (19 \| 6 \| 1 term serving row 4 : 4 \| kyosti kallio \| 3 years, 293 days \| 9 \| resigned due to poor health row 5 : 5 \| risto ryti \| 3 years, 229 days \| 10 \| resigned due to agreement with nazi german row 6 : 6 \| gustaf mannerheim \| 1 year, 219 days \| 11 \| resigned due to poor health and after not row 7 : 7 \| j. k. paasiki \| 9 years, 356 days \| 4 \| 2 terms serving (remainder of mannerheim row 8 : 8 \| urho kekkonen \| 25 years, 332 days \| 1 \| 3 whole terms serving (the 3rd exceptionally row 9 : 9 \| mauno koivisto \| 12 years, 33 days \| 2 \| 2 terms serving row 10 : 10 \| martti ahtisa \| 6 years, 0 days two leap years (19 \| 5 \| 1 term serving row 11 : 11 \| tarja halonen \| 12 years, 0 days \| 3 \| 2 terms serving row 12 : 12 \| sauli niinisto \| 2 years, 115 days \| None \| incumbent: first term serving ] Execute this SQL based on the above table: select count ( president of the republic ) where rank by length of term(s) < ( select rank by length of term(s) where president of the republic = 'kyosti kallio' )	8
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select date where date != 'september 15, 1983' and yacht = ( select yacht where date = 'september 15, 1983' )	september 14, 1983, september 20, 1983
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select year where id = ( select id where year = 1979 ) - 1	1977
[ header: japanese title \| western title \| regions \| release \| platform(s) \| genre row 1 : chinese hero \| None \| jp \| 1984 \| arcade \| action row 2 : super chinese \| kung-fu heroes \| jp, na \| 1986 \| fc/nes \| action row 3 : super chinese 2 \| little ninja brothers \| jp, na \| 1989 \| fc/nes \| role-playing row 4 : super chinese 3 \| None \| jp \| 1991 \| fc \| role-playing row 5 : super chinese land \| ninja boy \| jp, na \| 1990 \| gb \| action row 6 : super chinese land 2 \| ninja boy 2 \| jp, na \| 1990 \| gb \| role-playing row 7 : super chinese land 3 \| None \| jp \| 1995 \| gb \| role-playing row 8 : super chinese world \| super ninja boy \| jp, na \| 1991 \| sfc/snes \| role-playing row 9 : super chinese world 2 \| None \| jp \| 1993 \| sfc \| role-playing row 10 : super chinese world 3 \| None \| jp \| 1995 \| sfc \| role-playing row 11 : super chinese fighter \| None \| jp \| 1995 \| sfc \| fighting row 12 : super chinese fighter gb \| None \| jp \| 1996 \| gb \| fighting row 13 : super chinese fighter ex \| None \| jp \| 1999 \| gbc \| fighting ] Execute this SQL based on the above table: select japanese title order by release desc limit 1	super chinese fighter ex
[ header: model \| class \| length \| fuel \| starting price row 1 : tour \| class a \| 42' \| diesel \| $362,285 row 2 : journey \| class a \| 35'-43' \| diesel \| $246,736 row 3 : adventurer \| class a \| 32'-37' \| gas \| $150,711 row 4 : via \| class a \| 25' \| diesel \| $126,476 row 5 : sightseer \| class a \| 31'-37' \| gas \| $126,162 row 6 : vista \| class a \| 26'-35' \| gas \| $107,717 row 7 : view \| class c \| 24'-25' \| diesel \| $100,955 row 8 : aspect \| class c \| 29'-31' \| gas \| $95,948 row 9 : access \| class c \| 25'-31' \| gas \| $74,704 ] Execute this SQL based on the above table: select count ( * ) where fuel = 'diesel' and fuel = 'diesel'	4
[ header: ano \| title \| role \| channel \| notes row 1 : 1994 \| inconquistable corazon \| victoria \| canal 9 \| None row 2 : 1995 \| dulce ana \| veronica iturbe montalban \| canal 9 \| None row 3 : 1996 \| 90-60-90 modelos \| lucia peralta \| canal 9 \| None row 4 : 1997 \| ricos y famos \| valeria garcia mendez de \| canal 9 \| None row 5 : 1998-1999 \| muneca brava \| milagros 'mili' e \| telefe \| nominated - martin fierr row 6 : 2002 \| kachorra \| antonia guerrero (kachorr \| telefe \| nominated - martin fierr row 7 : 2004 \| el deseo \| carmen \| telefe \| None row 8 : 2005 \| botines \| renee \| canal 13 \| in "bailarina en row 9 : 2006 \| sos mi vida \| esperanza "la monita \| canal 13 \| won - martin fierro row 10 : 2007 \| patito feo \| patricia gonzalez \| canal 13 \| guest appearance row 11 : 2008 \| amanda o \| amanda o \| on internet and america television \| martin fierro - leading actress row 12 : 2008 \| recurso natural \| None \| canal 7 \| host row 13 : 2010 \| se dice de mi \| None \| canal encuentro \| host row 14 : 2011 \| cuando me sonreis \| leonora bellami \| telefe \| guest appearance row 15 : 2012-2013 \| lynch \| isabel reyes alias marian \| moviecity \| None row 16 : 2013 \| solamente vos \| aurora andres \| canal 13 \| won - tato awards best lead ] Execute this SQL based on the above table: select channel order by id desc limit 1	canal 13
[ header: common names subspecies \| pacific (critchfieldiana) \| columbia (ponderosa) \| rocky mountains (scopulorum) \| southwestern (brachyptera) \| central high plains (readiana) row 1 : years needles remain green \| 3.9±0.25, n=30 \| 4.7±0.14, n=50 \| 5.7±0.28, n=23 \| 4.3±0.18, n=24 \| 4.7±0.18, n=5 row 2 : foliage length on branch, cm \| 25.1±2.4, n=30 \| 26.2±2.2, n=50 \| 21.1±1.7, n=23 \| 21.8±2.7, n=24 \| 42.2±6.7, n=5 row 3 : needle length, cm \| 19.8±0.44, n=30 \| 16.8±0.29, n=48 \| 11.2±0.27, n=23 \| 14.7±0.45, n=24 \| 15.6±0.57, n=5 row 4 : needles per fascicle \| 3.0±0.00, n=30 \| 3.0±0.00, n=48 \| 2.6±0.06, n=23 \| 3.0±0.03, n=24 \| 2.4±0.11, n=5 row 5 : needle thickness \| 45.9±0.49, n= \| 47.8±0.51, n=48 \| 46.4±0.68, n=23 \| 44.8±0.87, n=24 \| 49.7±0.61, n=5 row 6 : branches per whorl \| 4.4±0.13, n=30 \| 3.7±0.11, n=50 \| 3.0±0.17, n=23 \| 3.4±0.25, n=23 \| 2.3±0.11, n=5 row 7 : branch angle ° from vert \| 56±1.8, n=30 \| 51±1.7, n=50 \| 50±2.3, n=23 \| 48±3.1, n=24 \| 36±1.9, n=5 row 8 : seed cones length, mm \| 101.4±2.48, n=25 \| 88.7±1.24, n= \| 70.7±2.20, n=22 \| 74.9±2.51, n=20 \| 71.1±2.46, n=5 row 9 : seed cones width, mm \| 77.1±1.35, n=25 \| 71.6±0.73, n=36 \| 61.5±1.08, n=22 \| 62.6±1.77, n=20 \| 63.3±2.18, n=5 row 10 : seed cone form w/l \| 0.80±0.03, n=25 \| 0.84±0.03, n=36 \| 0.90±0.02, n=22 \| 0.86±0.02, n=20 \| 0.90±0.03, n=5 row 11 : seed length, mm \| 7.5±0.08, n=23 \| 7.6±0.16, n=14 \| 6.3±0.09, n=17 \| 6.4±0.18, n=16 \| 7.0±0.12, n=5 row 12 : seed width, mm \| 4.9±0.05, n=23 \| 4.9±0.08, n=14 \| 4.1±0.05, n=17 \| 4.3±0.09, n=16 \| 4.5±0.10, n=5 row 13 : seed + wing length, mm \| 32.3±0.58, n=23 \| 24.8±0.62, n=14 \| 22.9±0.63, n=17 \| 23.3±0.68, n=15 \| 23.1±0.78, n=5 row 14 : mature cone color \| apple green to yellow green \| green & red-brown to d \| green & red-brown to d \| None \| green & red-brown to d ] Execute this SQL based on the above table: select common names subspecies where central high plains (readiana) = '0.90±0.03, n=5'	seed cone form w/l
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| park ho-hyun \| south korea \| 55.58 \| pb row 2 : None \| lee young-sun \| south korea \| 55.29 \| None row 3 : None \| anne de silva \| sri lanka \| 54.86 \| None row 4 : 4 \| liliya dusmetova \| uzbekistan \| 54.52 \| sb row 5 : 5 \| zhang li \| china \| 54.11 \| None row 6 : 6 \| harumi yamamoto \| japan \| 52.6 \| None row 7 : 7 \| suman devi \| india \| 52.58 \| None row 8 : 8 \| emika yoshida \| japan \| 51.62 \| None row 9 : 9 \| nadeeka lakmali \| sri lanka \| 48.54 \| None row 10 : 10 \| jang ok-ju \| north korea \| 41.68 \| pb row 11 : 11 \| parveen akhtar \| pakistan \| 37.51 \| None ] Execute this SQL based on the above table: select name where id = ( select id where name = 'harumi yamamoto' ) + 1	suman devi
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select eliminated where eliminated = 'week 5' order by age desc limit 1	week 5
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/09/2013 \| 2:00 pm \| indiana institute of technology \| emil and patricia jones \| csu tv \| w 74-51 \| 369 \| 1-0 row 2 : 11/16/2013 \| 1:00 pm \| at miami (oh) \| millett hall • oxford \| None \| l 39-55 \| 406 \| 1-2 row 3 : 11/26/2013 \| 7:00 pm \| purdue calumet \| emil and patricia jones \| csu tv \| l 62-68 \| 279 \| 1-5 row 4 : 12/01/2013 \| 2:00 pm \| western michigan \| emil and patricia jones \| csu tv \| l 49-67 \| 242 \| 1-6 row 5 : 12/06/2013 \| 3:30 pm \| vs. valparaiso \| savage arena • toledo, \| None \| l 50-74 \| None \| 1-7 row 6 : 12/07/2013 \| 1:00 pm \| vs. detroit \| savage arena • toledo, \| None \| l 64-85 \| None \| 1-8 row 7 : 12/20/2013 \| 6:00 pm \| at southern illinois \| siu arena • carbondale, il \| None \| w 55-51 \| 405 \| 2-8 row 8 : 12/31/2013 \| 2:00 pm \| loyola \| emil and patricia jones \| csu tv \| l 63-77 \| 316 \| 2-10 row 9 : 01/02/2014 \| 7:00 pm \| seattle \| emil and patricia jones \| csu tv \| l 58-85 \| 202 \| 2-11 (0-1) row 10 : 01/04/2014 \| 2:00 pm \| idaho \| emil and patricia jones \| csu tv \| l 42-92 \| 200 \| 2-12 (0-2) row 11 : 01/08/2014 \| 7:00 pm \| indiana northwest \| emil and patricia jones \| csu tv \| w 68-50 \| 212 \| 3-12 row 12 : 01/11/2014 \| 2:00 pm \| at umkc \| municipal auditorium • kansas city \| None \| l 60-83 \| 380 \| 3-13 (0-3) row 13 : 01/16/2014 \| 7:00 pm \| at new mexico state \| pan american center • las cruces, \| None \| l 61-82 \| 942 \| 3-14 (0-4) row 14 : 01/30/2014 \| 8:00 pm \| at grand canyon \| gcu arena • phoenix, \| cox7 \| l 53-84 \| 581 \| 3-18 (0-8) row 15 : 02/13/2014 \| 7:00 pm \| texas-pan american \| emil and patricia jones \| csu tv \| l 52-75 \| 207 \| 3-20 (0-10) row 16 : 02/20/2014 \| 8:00 pm \| at utah valley \| uccu center • orem, \| None \| l 62-84 \| 191 \| 3-22 (0-12) row 17 : 02/22/204 \| 3:00 pm \| at cal state bakersfield \| icardo center • bakersfield \| None \| l 58-99 \| 213 \| 3-23 (0-13) ] Execute this SQL based on the above table: select ( select date where tv = 'csu tv' ) = ( select date where tv = 'csu tv' )	1
[ header: year \| location \| men's winner \| men's runner-up \| score \| women's winner \| women's runner-up \| score row 1 : 2003 \| london \| western \| mcgill \| 1-0 \| western \| mcgill \| 4-3 row 2 : 2004 \| kingston \| western \| mcgill \| 2-1 \| mcgill \| western \| 2-1 row 3 : 2005 \| montreal \| toronto \| queen's \| 2-1 \| mcgill \| queen's \| 1-0 row 4 : 2006 \| toronto \| western \| queen's \| 3-0 \| mcgill \| western \| 6-2 row 5 : 2007 \| london \| western \| mcgill \| 1-0 \| mcgill \| queen's \| 1-0 row 6 : 2008 \| toronto \| mcgill \| toronto \| 2-0 \| mcgill \| toronto \| 3-1 row 7 : 2009 \| london ontario \| western \| mcgill \| 2-1 \| mcgill \| queen's \| 3-0 row 8 : 2010 \| kingston \| mcgill \| queen's \| 2-1 \| mcgill \| toronto \| 1-0 row 9 : 2011 \| montreal \| toronto \| mcgill \| p-p \| toronto \| mcgill \| p-p row 10 : 2012 \| toronto \| toronto \| western \| 1-1 (5-4 pk) \| mcgill \| western \| 2-1 row 11 : 2013 \| london \| queen's \| western \| 1-1 (4-2 pk) \| toronto \| mcgill \| 0-0 (4-3 pk) ] Execute this SQL based on the above table: select women's winner where score = '1-1 (4-2 pk)' order by id desc limit 1	toronto
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select max ( number ) - min ( number )	111.0
[ header: event \| gold \| silver \| bronze \| total \| ranking row 1 : 1976 winter paralympics \| 10 \| 1 \| 1 \| 12 \| 2nd row 2 : 1984 winter paralympics \| 4 \| 2 \| 3 \| 9 \| 5th row 3 : 1988 winter paralympics \| 5 \| 16 \| 16 \| 37 \| 7th row 4 : 1992 winter paralympics \| 3 \| 8 \| 4 \| 15 \| 8th row 5 : 1994 winter paralympics \| 2 \| 9 \| 5 \| 16 \| 11th row 6 : 1998 winter paralympics \| 10 \| 5 \| 8 \| 23 \| 6th row 7 : 2002 winter paralympics \| 6 \| 4 \| 2 \| 12 \| 7th row 8 : 2006 winter paralympics \| 0 \| 1 \| 1 \| 2 \| 13th row 9 : 2010 winter paralympics \| 1 \| 2 \| 0 \| 3 \| 13th ] Execute this SQL based on the above table: select event where event in ( 'izabal' , '2010 winter paralympics' ) order by silver desc limit 1	2010 winter paralympics
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select total seats where total seats != 28 and seats won = ( select seats won where total seats = 28 )	27
[ header: season \| competition \| round \| club \| home \| away \| aggregate row 1 : 2010-11 \| uefa europa league \| q3 \| motherwell \| 1-1 \| 0-3 \| 1-4 row 2 : 2011-12 \| uefa europa league \| q1 \| neath \| 4-1 \| 2-0 \| 6-1 row 3 : 2011-12 \| uefa europa league \| q2 \| ferencvaros \| 3-1(aet) \| 1-2 \| 4-3 row 4 : 2011-12 \| uefa europa league \| q3 \| elfsborg \| 4-0 \| 1-1 \| 5-1 row 5 : 2011-12 \| uefa europa league \| play-off \| az \| 2-1 \| 0-6 \| 2-7 row 6 : 2012-13 \| uefa europa league \| q2 \| tirana \| 5-0 \| 1-1 \| 6-1 row 7 : 2012-13 \| uefa europa league \| q3 \| apoel \| 0-1 \| 1-2 \| 1-3 ] Execute this SQL based on the above table: select season where club = 'ferencvaros'	2011-12
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select division where tier = 4 order by tier desc limit 1	3a
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select count ( points ) where points = 8	2
[ header: year \| competition \| venue \| position \| notes row 1 : 1995 \| world indoor championships \| barcelona, spain \| 11th \| pentathlon row 2 : 1996 \| olympic games \| atlanta, georgia, us \| 24th \| heptathlon row 3 : 1997 \| world championships \| athens, greece \| 16th \| heptathlon row 4 : 1998 \| european indoor championships \| valencia, spain \| 7th \| pentathlon row 5 : 1998 \| european championships \| budapest, hungary \| 14th \| heptathlon row 6 : 2000 \| olympic games \| sydney, australia \| dnf \| heptathlon ] Execute this SQL based on the above table: select competition order by competition asc limit 1	european championships
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select count ( * ) where tribunal = 662	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( league ) where year < 1690	0
[ header: date \| racecourse \| distance \| race status \| race \| position \| winning distance (lengths) \| jockey \| rating \| going \| odds \| prize money row 1 : april 10, 2004 \| kempton park \| 8f \| listed \| snowdrop fillies stakes \| 2nd to beneventa \| None \| johnny murtagh \| 114 \| good to soft \| 4/11f \| £6,600 row 2 : april 24, 2004 \| sandown park \| 8f \| group 2 \| betfred mile \| 3rd to hurricane alan \| None \| johnny murtagh \| 114 \| good to soft \| 5/2f \| £11,000 row 3 : may 22, 2004 \| curragh \| 8f \| group 2 \| ridgewood pearl stakes \| 1st \| 6 \| johnny murtagh \| None \| good to firm \| 11/10f \| £56,760.56 row 4 : june 15, 2004 \| royal ascot \| 8f \| group 1 \| queen anne stakes \| 2nd to refuse to bend \| None \| johnny murtagh \| 114 \| good to firm \| 6/1 \| £55,000 row 5 : july 6, 2004 \| newmarket \| 8f \| group 1 \| falmouth stakes \| 1st \| 21⁄2 \| johnny murtagh \| 114 \| good to firm \| 11/4 \| £116,000 row 6 : july 28, 2004 \| goodwood \| 8f \| group 1 \| sussex stakes \| 1st \| nk \| johnny murtagh \| 115 \| good \| 3/1 \| £174,000 row 7 : september 11, 2004 \| leopardstown \| 8f \| group 1 \| matron stakes \| 1st \| 1⁄2 \| johnny murtagh \| None \| good to firm \| 8/13f \| £119,014.08 row 8 : september 25, 2004 \| ascot \| 8f \| group 1 \| qeii stakes \| 6th to rakti \| None \| johnny murtagh \| 120 \| good to firm \| 5/2f \| £3,750 ] Execute this SQL based on the above table: select race where race != 'betfred mile' and rating = ( select rating where race = 'betfred mile' )	snowdrop fillies stakes, queen anne stakes, falmouth stakes
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select rank where gold = 1	13.0, 14.0, 15.0, 16.0, 17.0
[ header: year \| division \| league \| regular season \| playoffs \| open cup \| avg. attendance row 1 : 2001 \| 2 \| usl a-league \| 4th, western \| quarterfinals \| did not qualify \| 7169 row 2 : 2002 \| 2 \| usl a-league \| 2nd, pacific \| 1st round \| did not qualify \| 6260 row 3 : 2003 \| 2 \| usl a-league \| 3rd, pacific \| did not qualify \| did not qualify \| 5871 row 4 : 2004 \| 2 \| usl a-league \| 1st, western \| quarterfinals \| 4th round \| 5628 row 5 : 2005 \| 2 \| usl first division \| 5th \| quarterfinals \| 4th round \| 6028 row 6 : 2006 \| 2 \| usl first division \| 11th \| did not qualify \| 3rd round \| 5575 row 7 : 2007 \| 2 \| usl first division \| 2nd \| semifinals \| 2nd round \| 6851 row 8 : 2008 \| 2 \| usl first division \| 11th \| did not qualify \| 1st round \| 8567 row 9 : 2009 \| 2 \| usl first division \| 1st \| semifinals \| 3rd round \| 9734 row 10 : 2010 \| 2 \| ussf d-2 pro league \| 3rd, usl (3rd) \| quarterfinals \| 3rd round \| 10727 ] Execute this SQL based on the above table: select playoffs where id = ( select id where avg. attendance = 5628 ) + 1	quarterfinals
[ header: outcome \| edition \| round \| opponent team \| surface \| opponent \| score row 1 : loser \| 2010 \| world group playoffs \| slovakia \| clay (i) \| daniela hantuchova \| 6-2, 6-2 row 2 : winner \| 2010 \| world group playoffs \| slovakia \| clay (i) \| magdalena rybarikova \| 6-1, 7-6(7-4) row 3 : winner \| 2011 \| world group ii \| canada \| hard (i) \| aleksandra wozniak \| 6-4, 7-5 row 4 : winner \| 2011 \| world group ii \| canada \| hard (i) \| rebecca marino \| 7-6(7-3), 6-3 row 5 : loser \| 2011 \| world group playoffs \| slovakia \| clay (i) \| dominika cibulkova \| 6-4, 3-6, 1-6 row 6 : loser \| 2012 \| world group \| belgium \| hard (i) \| yanina wickmayer \| 4-6, 4-6 row 7 : winner \| 2012 \| world group \| belgium \| hard (i) \| kirsten flipkens \| 6-2, 6-4 ] Execute this SQL based on the above table: select count ( * ) where opponent = 'daniela hantuchova'	1
[ header: game \| day \| date \| kickoff \| opponent \| results score \| results record \| location \| attendance row 1 : 1 \| saturday \| november 9 \| 7:05pm \| at detroit waza \| w 8-7 (ot) \| 1-0 \| melvindale civic center \| 545 row 2 : 2 \| sunday \| november 10 \| 3:05pm \| at cleveland freeze \| l 3-11 \| 1-1 \| soccer sportsplex \| 703 row 3 : 3 \| saturday \| november 16 \| 7:35pm \| detroit waza \| l 5-8 \| 1-2 \| farm show arena \| 1605 row 4 : 4 \| saturday \| november 23 \| 7:05pm \| cleveland freeze \| l 7-10 \| 1-3 \| farm show arena \| 1050 row 5 : 5 \| saturday \| november 30 \| 7:05pm \| cincinnati saints \| w 8-6 \| 2-3 \| farm show arena \| 1458 row 6 : 6 \| saturday \| december 21 \| 7:05pm \| detroit waza \| w 9-8 \| 3-3 \| farm show arena \| 1590 row 7 : 7 \| sunday \| december 22 \| 4:05pm \| at cleveland freeze \| l 4-12 \| 3-4 \| soccer sportsplex \| 431 row 8 : 8 \| saturday \| december 28 \| 7:05pm \| cleveland freeze \| l 5-12 \| 3-5 \| farm show arena \| 1581 row 9 : 9 \| saturday \| january 11 \| 7:35pm \| at cincinnati saints \| l 8-9 \| 3-6 \| tri-county soccerplex \| 421 row 10 : 10 \| sunday \| january 12 \| 3:05pm \| at detroit waza \| l 6-12 \| 3-7 \| melvindale civic center \| 356 row 11 : 11 \| saturday \| january 18 \| 7:05pm \| cincinnati saints \| w 10-5 \| 4-7 \| farm show arena \| 2209 row 12 : 12 \| friday \| january 24 \| 7:05pm \| chicago mustangs \| l 7-13 \| 4-8 \| farm show arena \| 1895 row 13 : 13 \| saturday \| january 25 \| 7:05pm \| chicago mustangs \| l 5-12 \| 4-9 \| farm show arena \| 2373 row 14 : 14 \| saturday \| february 8 \| 8:35pm \| at illinois piasa \| l 3-4 \| 4-10 \| the field sports complex \| 206 row 15 : 15 \| sunday \| february 9 \| 5:05pm \| at chicago mustangs \| l 3-14 \| 4-11 \| grand sports arena \| 748 row 16 : 16 \| sunday \| february 16 \| 4:05pm \| at dallas sidekicks \| l 3-13 \| 4-12 \| allen event center \| 4207 ] Execute this SQL based on the above table: select day where game > 6	sunday, saturday, saturday, sunday, saturday, friday, saturday, saturday, sunday, sunday
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select name where name in ( 'natalie coughlin' , 'noriko inada' ) and nationality = 'united states'	natalie coughlin
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select year where award = '8th soap opera digest awards'	1992
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select single order by chart positions polish charts desc limit 1	"radioactive"
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| chesterfield \| 1-0 \| nottingham forest \| 15 february 1997 row 2 : 2 \| leicester city \| 2-2 \| chelsea \| 16 february 1997 row 3 : replay \| chelsea \| 1-0 \| leicester city \| 26 february 1997 row 4 : 3 \| derby county \| 3-2 \| coventry city \| 26 february 1997 row 5 : 4 \| manchester city \| 0-1 \| middlesbrough \| 15 february 1997 row 6 : 5 \| bradford city \| 0-1 \| sheffield wednesday \| 16 february 1997 row 7 : 6 \| wimbledon \| 2-1 \| queens park rangers \| 15 february 1997 row 8 : 7 \| leeds united \| 2-3 \| portsmouth \| 15 february 1997 row 9 : 8 \| birmingham city \| 1-3 \| wrexham \| 15 february 1997 ] Execute this SQL based on the above table: select max ( tie no )	8.0
[ header: year \| national champion \| score \| runner-up \| host or site row 1 : 2001 \| ucla \| 5-4 \| stanford \| stanford university, avery aquatic center row 2 : 2002 \| stanford \| 8-4 \| ucla \| usc, mcdonald' row 3 : 2003 \| ucla (2) \| 4-3 \| stanford \| uc san diego, canyon row 4 : 2004 \| usc \| 10-8 \| loyola marymount \| stanford university, avery aquatic center row 5 : 2005 \| ucla (3) \| 3-2 \| stanford \| university of michigan, canham nat row 6 : 2006 \| ucla (4) \| 9-8 \| usc \| uc davis, schaal row 7 : 2007 \| ucla (5) \| 5-4 \| stanford \| long beach state, joint forces training base, los row 8 : 2008 \| ucla (6) \| 6-3 \| usc \| stanford university, avery aquatic center row 9 : 2009 \| ucla (7) \| 5-4 \| usc \| university of maryland, eppley recreation row 10 : 2010 \| usc (2) \| 10-9 \| stanford \| san diego state, az row 11 : 2011 \| stanford (2) \| 9-5 \| california \| university of michigan, canham nat row 12 : 2012 \| stanford (3) \| 6-4 \| usc \| san diego state, az row 13 : 2013 \| usc (3) \| 10-9 5ot \| stanford \| harvard university, blodget row 14 : 2014 \| None \| None \| None \| usc, uytengsu ] Execute this SQL based on the above table: select score where runner-up = 'usc'	9-8, 6-3, 5-4, 6-4
[ header: year \| title \| role \| notes row 1 : 1982 \| voyager from the unknown \| phineas bogg \| None row 2 : 1982-1983 \| voyagers! \| phineas bogg \| 20 episodes row 3 : 1983 \| making of a male model \| tyler burnett \| television movie row 4 : 1984 \| hotel \| prince erik \| episode: "tomorrows" row 5 : 1984 \| the bear \| pat trammell \| None row 6 : 1984 \| cover up \| mac harper \| 7 episodes ] Execute this SQL based on the above table: select count ( notes )	4
[ header: date \| sub \| flight \| dead \| hurt \| pax. \| type \| perpetrator \| description row 1 : 27-jun-76 \| \| air france - 193 tl \| 4 \| 10 \| 260 \| hijacking -- hostage taking (8 days) \| pflp-eo (palestinian \| -hijacking in israeli row 2 : 23-nov-85 \| \| egypt air - 6 \| 58 \| 20 \| 95 \| hijacking -- hostage taking (2 days) \| abu nidal organisation \| -hijacking in greek air ] Execute this SQL based on the above table: select sub order by hurt desc limit 1	@NULL@
[ header: heat \| time \| pos \| rider \| country row 1 : sf 1 \| 2nd race: 12.101 s 3r \| 1 \| lori-ann muenzer \| canada row 2 : sf 1 \| 1st race: 11.802 s \| 2 \| anna meares \| australia row 3 : sf 2 \| 2nd race: 11.965 s 3 \| 1 \| tamilla abassova \| russia row 4 : sf 2 \| 1st race: 11.893 s \| 2 \| svetlana grankovs \| russia ] Execute this SQL based on the above table: select heat where heat = 'sf 2'	sf 2, sf 2
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select division where place = '1st'	3a aficio, 1a aficio
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select position order by year desc limit 1	5th
[ header: year \| location \| attendance \| theme phrase \| top messages \| host \| opening general session guest(s) \| closing general session guest(s) \| sunday night reception \| wednesday night party \| cult shirt row 1 : 1993 \| orlando \| 2300 \| working together \| None \| don bulens \| geoffrey moore \| None \| None \| disney-mgm \| None row 2 : 1994 \| no event \| None \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 1997 \| nice, france \| None \| pool of knowledge \| don't compete with, embrace the web. \| ray ozzie \| avery brooks \| None \| None \| magic kingdom the doobie brothers \| None row 4 : 1998 \| orlando \| None \| cultivate your senses \| notes r5 \| steve beckhardt \| jamie clark alan hobson \| bill nye \| None \| disney-mgm earth, wind \| None row 5 : 1999 \| orlando \| None \| lotus: a part of every solution \| notes r5 knowledge management \| jeff papows \| jim lovell gene krantz \| marc salem \| None \| seaworld the pointer sisters \| None row 6 : 2000 \| orlando \| 10000 \| looking forward/forward looking \| raven domino access for microsoft outlook \| jeff papows > al \| walter cronkite \| the raspyni brothers \| None \| universal's islands of adventure chicago \| notes world order row 7 : 2001 \| orlando \| 10000 \| in the know \| lotus k-station lotus discovery server \| al zollar \| al franken francis ford cop \| umbilical brothers \| None \| disney's wide world of sports complex \| domino survivor row 8 : 2003 \| orlando \| None \| the essential human element \| nextgen db2 \| al zollar > ambuj go \| rudy giuliani bounce (dan \| dr. ronan t \| None \| magic kingdom \| just-us league & collaboration league row 9 : 2004 \| orlando \| 5273 \| the workplace for innovation \| None \| ambuj goyal \| patrick stewart \| richard jeni \| None \| universal studios florida \| cult shirt on human row 10 : 2006 \| orlando \| 6000 \| futureinsight \| workplace activities sametime 7.5 \| mike rhodin \| jason alexander \| jim gaffigan \| poker tables \| seaworld \| cult man group row 11 : 2008 \| orlando \| 7000 \| emergence \| notes/domino 8.01, 8.5 \| mike rhodin \| bob costas orlando \| alton brown \| beach party \| universal's islands of adventure \| pirates of collaboration row 12 : 2010 \| orlando \| None \| lotus knows why. lotus knows how \| None \| bob picciano > alistair \| william shatner nutt \| brian cox (physicist \| None \| hollywood studios \| None row 13 : 2011 \| orlando \| None \| get social. do business \| None \| alistair rennie \| kevin spacey mass ensemble \| watson \| None \| wizarding world of harry potter, \| None row 14 : 2013 \| orlando \| None \| get social. do business \| None \| alistair rennie \| joe gordon-levitt \| steven strogatz john ho \| None \| universal studios florida \| no cult shirt ] Execute this SQL based on the above table: select count ( closing general session guest(s) ) where year = 1998	1
[ header: state \| passed \| referendum \| vote row 1 : s. carolina \| december 20, 1860 \| None \| None row 2 : mississippi \| january 9, 1861 \| None \| None row 3 : florida \| january 10, 1861 \| None \| None row 4 : alabama \| january 11, 1861 \| None \| None row 5 : georgia \| january 19, 1861 \| None \| None row 6 : louisiana \| january 26, 1861 \| None \| None row 7 : texas \| february 1, 1861 \| february 23 \| 46,153-14,747 row 8 : virginia \| april 17, 1861 \| may 23 \| 132,201-37,451 row 9 : arkansas \| may 6, 1861 \| None \| None row 10 : tennessee \| may 6, 1861 \| june 8 \| 104,471-47,183 row 11 : n. carolina \| may 20, 1861 \| None \| None row 12 : missouri \| october 31, 1861 \| None \| None row 13 : kentucky \| november 20, 1861 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where referendum = 749	0
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 6 \| michael andretti \| newman-haas racing \| 150 \| 1:33:39.268 \| 8 \| 20+1 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 150 \| 0.075 \| 1 \| 16+1 row 3 : 3 \| 1 \| alex zanardi \| chip ganassi racing \| 150 \| 0.918 \| 6 \| 14 row 4 : 4 \| 11 \| christian fittipaldi \| newman-haas racing \| 150 \| 3.359 \| 4 \| 12 row 5 : 5 \| 20 \| scott pruett \| patrick racing \| 150 \| 5.257 \| 12 \| 10 row 6 : 6 \| 40 \| adrian fernandez \| patrick racing \| 150 \| 5.926 \| 5 \| 8 row 7 : 7 \| 5 \| gil de ferran \| walker racing \| 150 \| 6.81 \| 11 \| 6 row 8 : 8 \| 8 \| bryan herta \| team rahal \| 150 \| 9.866 \| 16 \| 5 row 9 : 9 \| 27 \| dario franchitti \| team kool green \| 150 \| 10.275 \| 13 \| 4 row 10 : 10 \| 17 \| mauricio gugelmin \| pacwest racing group \| 150 \| 10.855 \| 10 \| 3 row 11 : 11 \| 33 \| patrick carpentier \| forsythe racing \| 150 \| 11.382 \| 9 \| 2 row 12 : 12 \| 18 \| mark blundell \| pacwest racing group \| 150 \| 29.029 \| 7 \| 1 row 13 : 13 \| 10 \| richie hearn \| della penna motorsports \| 149 \| +1 lap \| 15 \| None row 14 : 14 \| 9 \| jj lehto \| hogan racing \| 149 \| +1 lap \| 29 \| None row 15 : 15 \| 15 \| roberto moreno \| project indy \| 149 \| +1 lap \| 23 \| None row 16 : 16 \| 12 \| jimmy vasser \| chip ganassi racing \| 148 \| +2 laps \| 3 \| None row 17 : 17 \| 3 \| andre ribeiro \| marlboro team penske \| 148 \| +2 laps \| 2 \| None row 18 : 18 \| 36 \| alex barron \| all american racing \| 148 \| +2 laps \| 27 \| None row 19 : 19 \| 7 \| bobby rahal \| team rahal \| 147 \| +3 laps \| 17 \| None row 20 : 20 \| 98 \| p. j. jones \| all american racing \| 146 \| +4 laps \| 26 \| None row 21 : 21 \| 77 \| arnd meier \| davis racing \| 136 \| +14 laps \| 28 \| None row 22 : 22 \| 2 \| al unser, jr \| marlboro team penske \| 122 \| transmission \| 14 \| None row 23 : 23 \| 24 \| hiro matsushita \| arciero-wells racing \| 121 \| contact \| 24 \| None row 24 : 24 \| 16 \| helio castro-neves \| bettenhausen racing \| 97 \| contact \| 22 \| None row 25 : 25 \| 34 \| dennis vitolo \| payton/coyne racing \| 90 \| withdrew \| 25 \| None row 26 : 26 \| 25 \| max papis \| arciero-wells racing \| 83 \| wheel bearing \| 20 \| None row 27 : 27 \| 26 \| paul tracy \| team kool green \| 79 \| suspension \| 21 \| None row 28 : 28 \| 19 \| michel jourdain jr \| payton/coyne racing \| 78 \| handling \| 19 \| None row 29 : 29 \| 21 \| tony kanaan \| tasman motorsports group \| 32 \| contact \| 18 \| None ] Execute this SQL based on the above table: select time/retired where team = 'hogan racing'	1.0
[ header: branding \| callsign \| frequency \| power (kw) \| location row 1 : mom's radio 97.9 lao \| dwsn-fm \| 97.9 mhz \| 5 kw \| laoag row 2 : mom's radio 95.9 naga \| dzrb-fm \| 95.9 mhz \| 10 kw \| naga row 3 : mom's radio 90.3 bacolod \| dycp-fm \| 90.3 mhz \| 5 kw \| bacolod row 4 : dyap 88.3 ce \| dyap-fm \| 88.3 mhz \| 5 kw \| cebu row 5 : mom's radio 101.5 tacloban \| dyjp-fm \| 101.5 mhz \| 2.5 kw \| tacloban row 6 : mom's radio 101.9 zamboang \| dxjp-fm \| 101.9 mhz \| 5 kw \| zamboanga row 7 : dxss 97.9 da \| dxss \| 97.9 mhz \| 10 kw \| davao ] Execute this SQL based on the above table: select branding group by branding order by count ( callsign ) desc limit 1	mom's radio 97.9 laoag
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 30 \| 8:00 pm \| vs. alabama \| #9 \| georgia dome • atlanta, \| abc \| l 10-34 \| 70097 row 2 : september 6 \| 3:30 pm \| the citadel \| #22 \| memorial stadium • clemson, s \| None \| w 45-17 \| 76794 row 3 : september 13 \| 12:00 pm \| nc state \| #23 \| memorial stadium • clemson, s \| raycom \| w 27-9 \| 77071 row 4 : september 20 \| 1:00 pm \| sc state \| #21 \| memorial stadium • clemson, s \| None \| w 54-0 \| 78607 row 5 : september 27 \| 12:00 pm \| maryland \| #19 \| memorial stadium • clemson, s \| raycom \| l 17-20 \| 81500 row 6 : october 9 \| 7:45 pm \| at wake forest \| None \| bb&t field • winston- \| espn \| l 7-12 \| 33988 row 7 : october 18 \| 12:00 pm \| georgia tech \| None \| memorial stadium • clemson, s \| espn \| l 17-21 \| 81500 row 8 : november 1 \| 3:30 pm \| at boston college \| None \| alumni stadium • chestnut hill, ma (o \| espnu \| w 27-21 \| 41863 row 9 : november 8 \| 3:30 pm \| at #24 florida state \| None \| doak campbell stadium • tallahasse \| abc \| l 27-41 \| 77013 row 10 : november 15 \| 12:00 pm \| duke \| None \| memorial stadium • clemson, s \| raycom \| w 31-7 \| 76217 row 11 : november 22 \| 12:00 pm \| at virginia \| None \| scott stadium • charlottesville, \| raycom \| w 13-3 \| 51979 row 12 : november 29 \| 12:00 pm \| south carolina \| None \| memorial stadium • clemson, s \| espn2 \| w 31-14 \| 82456 row 13 : january 1, 2009 \| 1:00 pm \| vs. nebraska \| None \| jacksonville municipal stadium • jackson \| cbs \| l 21-26 \| 67282 ] Execute this SQL based on the above table: select site order by time desc limit 1	memorial stadium • clemson, sc (textile bowl/hall of fame day)
[ header: year \| location(s) \| number of contestants \| ladies winner \| men's winner row 1 : 1965 \| skane, blekinge, \| 156 \| sweden inga-britt \| sweden nils bohman row 2 : 1966 \| smaland (4), vastergot \| 672 \| sweden kerstin gran \| finland juhani salmenky row 3 : 1967 \| motala \| 1 910 \| sweden ulla lindk \| sweden kalle johan row 4 : 1968 \| boras \| 3 250 \| sweden ulla lindk \| norway age hadler row 5 : 1970 \| kristianstad \| 6 378 \| sweden ulla lindk \| sweden bernt fril row 6 : 1972 \| eksjo \| 8 253 \| sweden ulla lindk \| sweden hans aurell row 7 : 1975 \| haninge \| 9 322 \| sweden anne lundmark \| finland matti makinen row 8 : 1976 \| ransater \| 14 843 \| hungary sarolta mon \| sweden gert pettersson row 9 : 1977 \| visby \| 7 186 \| finland liisa veija \| norway sigurd dæhli row 10 : 1979 \| orebro \| 15 842 \| sweden britt-marie \| sweden lars-henrik row 11 : 1981 \| mohed \| 18 983 \| sweden annichen kring \| sweden jorgen martens row 12 : 1982 \| lulea \| 13 631 \| sweden annichen kring \| sweden lars lon row 13 : 1985 \| falun \| 25 021 \| sweden annichen kring \| sweden joakim ingel row 14 : 1986 \| boras \| 17 353 \| sweden annichen kring \| sweden anders erik row 15 : 1989 \| ostersund \| 17 818 \| sweden barbro lonn \| sweden niklas lowe row 16 : 1991 \| arboga \| 16 581 \| sweden arja hannus \| sweden hakan eriks row 17 : 1992 \| sodertalje \| 17 806 \| sweden gunilla svar \| denmark allan mogensen row 18 : 1994 \| ornskoldsvik \| 14 414 \| sweden katarina \| norway petter thoresen row 19 : 1996 \| karlstad \| 17 007 \| sweden annika zell \| sweden jorgen martens row 20 : 1997 \| umea \| 11 179 \| sweden katarina \| sweden jorgen martens row 21 : 1998 \| gavle \| 13 249 \| norway hanne staff \| sweden johan ivar row 22 : 1999 \| borlange \| 15 238 \| sweden jenny jo \| sweden fredrik lowe row 23 : 2003 \| uddevalla \| 14 998 \| united kingdom heather monro \| finland mats haldin row 24 : 2005 \| skillingaryd \| 12 657 \| sweden emma eng \| sweden emil wingsted ] Execute this SQL based on the above table: select men's winner where men's winner = 'sweden hakan eriksson'	sweden hakan eriksson
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select count ( number ) where number >= 758	0
[ header: month \| day \| visitor \| score \| home \| score row 1 : dec \| 28 \| spokane \| 5 \| portland \| 4 row 2 : jan \| 1 \| portland \| 7 \| seattle \| 4 row 3 : jan \| 4 \| vancouver \| 3 \| portland \| 5 row 4 : jan \| 8 \| seattle \| 1 \| spokane \| 5 row 5 : jan \| 11 \| spokane \| 1 \| seattle \| 3 row 6 : jan \| 14 \| portland \| 4 \| vancouver \| 5 row 7 : jan \| 16 \| vancouver \| 3 \| seattle \| 12 row 8 : jan \| 18 \| portland \| 3 \| spokane \| 5 row 9 : jan \| 22 \| vancouver \| 8 \| spokane \| 5 row 10 : jan \| 25 \| spokane \| 5 \| portland \| 4 row 11 : jan \| 28 \| seattle \| 2 \| vancouver \| 3 row 12 : jan \| 30 \| spokane \| 2 \| seattle \| 4 row 13 : feb \| 4 \| seattle \| 5 \| vancouver \| 6 (10:45 ot) row 14 : feb \| 6 \| portland \| 3 \| seattle \| 9 row 15 : feb \| 8 \| vancouver \| 4 \| portland \| 8 row 16 : feb \| 11 \| portland \| 3 \| vancouver \| 6 row 17 : feb \| 13 \| vancouver \| 1 \| seattle \| 3 row 18 : feb \| 15 \| seattle \| 2 \| portland \| 4 row 19 : feb \| 18 \| seattle \| 1 \| vancouver \| 8 row 20 : feb \| 20 \| portland \| 2 \| seattle \| 6 row 21 : feb \| 22 \| vancouver \| 1 \| portland \| 2 (20:20 ot) row 22 : feb \| 25 \| portland \| 4 \| vancouver \| 9 row 23 : feb \| 27 \| vancouver \| 1 \| seattle \| 2 (22:20 ot) row 24 : march \| 1 \| seattle \| 3 \| portland \| 1 row 25 : march \| 4 \| portland \| 4 \| vancouver \| 8 row 26 : march \| 6 \| vancouver \| 3 \| seattle \| 4 (2:58 ot) row 27 : march \| 8 \| seattle \| 6 \| portland \| 9 ] Execute this SQL based on the above table: select ( select visitor where home = 'portland' ) = ( select visitor where home = 'seattle' )	0
[ header: name \| parentage \| size \| flower colour \| flower type row 1 : cornish snow \| cuspidata × saluenens \| 04.0m2 \| white \| single row 2 : cornish spring \| cuspidata × saluenens \| 04.0m2 \| pink \| single row 3 : francie l \| reticulata × saluen \| 64.0m2 \| rose-pink \| double row 4 : freedom bell \| × williamsii \| 06.5m2 \| red \| semi-double row 5 : inspiration \| reticulata × saluen \| 10.0m2 \| rose-pink \| semi-double row 6 : leonard messel \| reticulata × saluen \| 16.0m2 \| rose-pink \| semi-double row 7 : royalty \| japonica × reticulata \| 01.0m2 \| light red \| semi-double row 8 : spring festival \| × williamsii, cu \| 10.0m2 \| pink \| semi-double row 9 : tom knudsen \| japonica × reticulata \| 06.3m2 \| deep red \| double paeony row 10 : tristrem carlyon \| reticulata \| 10.0m2 \| rose-pink \| double paeony ] Execute this SQL based on the above table: select count ( size ) where flower type = 'semi-double'	5
[ header: name \| completed \| architect \| location \| year of listing & ref(s) row 1 : 46-48 brown street \| 1868 \| george truefitt \| None \| None row 2 : 50 newton street \| circa 1900 \| clegg & knowles \| newton street, piccadilly \| 1988 row 3 : 53 king street \| 1912 \| charles heathcote \| king street \| None row 4 : albert hall \| 1910 \| w. j. morley \| peter street \| None row 5 : ancoats hospital \| 1891 \| lewis and crawcroft \| ancoats \| 1974 row 6 : apollo theatre \| 1930 \| None \| ardwick \| 1994 row 7 : barlow hall \| 15th century (altered since) \| None \| chorlton-cum-hardy \| 1974 (downgraded in 1994) row 8 : barnes hospital \| 1875 \| lawrence booth \| didsbury \| 1998 row 9 : bridgewater house \| 1912 \| harry fairhurst \| whitworth street \| None row 10 : cis tower \| 1962 \| gordon tait \| miller street \| 1995 row 11 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 12 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 13 : cooperative press \| late 19th century \| None \| naples street, ancoats \| 1994 row 14 : corn exchange \| 1903 \| None \| exchange square \| 1973 row 15 : derros building \| 1899 \| william sharpe \| great ancoats street \| 1998 row 16 : greenhayes centre \| 1896 \| None \| moss side \| 1994 row 17 : hanover building \| 1909 \| f.e.l harris \| corporation street \| 1988 row 18 : holyoake house \| 1911 \| f.e.l harris \| dantzic street \| 1988 row 19 : national and provoncial building society \| circa. 1910 \| c. r. cockerell \| king street \| 1974 row 20 : manchester deansgate railway station \| 1896 \| None \| None \| 1998 row 21 : manchester oxford road railway station \| 1960 \| w. r. headley and max \| oxford road \| 1995 row 22 : manchester victoria station \| 1844 \| None \| hunts bank \| 1988 row 23 : palace theatre \| 1891 \| alfred derbyshire and f. \| oxford street \| 1977 row 24 : the ritz \| 1927 \| None \| whitworth street \| 1994 row 25 : royal exchange \| 1921 \| bradshaw, gass & hope \| cross street \| None row 26 : redfern building \| 1936 \| w. a. johnson and \| dantzic street \| 1994 row 27 : sackville street building \| 1912 \| spalding and cross \| sackville street \| 1974 row 28 : st. james buildings \| 1912 \| clegg, fryer & penman \| 65-95 oxford street \| 1988 row 29 : st mary's hospital \| 1909 \| john ely \| wilmslow road \| 1994 row 30 : smithfield market hall \| 1857 \| None \| swan street, ancoats \| 1973 row 31 : strangeways prison ventilation and watch tower \| 1868 \| alfred waterhouse \| sherborne street \| 1974 row 32 : theatre royal \| 1845 \| irwin and chester \| peter street \| 1974 row 33 : the old wellington inn \| mid-16th century \| None \| shambles square \| 1952 row 34 : whitworth park mansions \| circa 1840s \| None \| whitworth park \| 1974 ] Execute this SQL based on the above table: select year of listing & ref(s) where name = 'derros building'	1998
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 60 \| 1:24:29.588 \| 3 \| 10 row 2 : 2 \| 5 \| fernando alonso \| renault \| 60 \| 2.739 \| 1 \| 8 row 3 : 3 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 60 \| 14.436 \| 12 \| 6 row 4 : 4 \| 6 \| giancarlo fisichella \| renault \| 60 \| 17.914 \| 6 \| 5 row 5 : 5 \| 3 \| jenson button \| bar-honda \| 60 \| 40.264 \| 2 \| 4 row 6 : 6 \| 1 \| michael schumacher \| ferrari \| 60 \| +1:15.322 \| 9 \| 3 row 7 : 7 \| 2 \| rubens barrichello \| ferrari \| 60 \| +1:16.567 \| 5 \| 2 row 8 : 8 \| 17 \| ralf schumacher \| toyota \| 60 \| +1:19.212 \| 8 \| 1 row 9 : 9 \| 16 \| jarno trulli \| toyota \| 60 \| +1:20.851 \| 4 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 59 \| +1 lap \| 16 \| None row 11 : 11 \| 7 \| mark webber \| williams-bmw \| 59 \| +1 lap \| 11 \| None row 12 : 12 \| 8 \| nick heidfeld \| williams-bmw \| 59 \| +1 lap \| 14 \| None row 13 : 13 \| 14 \| david coulthard \| red bull-cosworth \| 59 \| +1 lap \| 13 \| None row 14 : 14 \| 11 \| jacques villeneuve \| sauber-petronas \| 59 \| +1 lap \| 10 \| None row 15 : 15 \| 15 \| christian klien \| red bull-cosworth \| 59 \| +1 lap \| 15 \| None row 16 : 16 \| 4 \| takuma sato \| bar-honda \| 58 \| +2 laps \| 7 \| None row 17 : 17 \| 18 \| tiago monteiro \| jordan-toyota \| 58 \| +2 laps \| 20 \| None row 18 : 18 \| 21 \| christijan albers \| minardi-cosworth \| 57 \| +3 laps \| 18 \| None row 19 : 19 \| 20 \| patrick friesacher \| minardi-cosworth \| 56 \| +4 laps \| 19 \| None row 20 : ret \| 19 \| narain karthikeyan \| jordan-toyota \| 10 \| electrical \| 17 \| None ] Execute this SQL based on the above table: select pos where points not null	1, 2, 3, 4, 5, 6, 7, 8
[ header: place \| athlete \| nation \| best mark \| throw 1 \| throw 2 \| throw 3 \| throw 4 \| throw 5 \| throw 6 row 1 : 1 \| tamara press \| soviet union \| 18.14 metres \| 17.51 \| 17.72 \| 17.18 \| 16.49 \| None \| 18.14 row 2 : 2 \| renate culmberger \| germany \| 17.61 metres \| 17.41 \| 17.1 \| 16.38 \| 17.61 \| 17 \| 17.01 row 3 : 3 \| galina zybina \| soviet union \| 17.45 metres \| 17.38 \| 17.25 \| 17.45 \| 17.42 \| 16.65 \| 17.36 row 4 : 4 \| valerie young \| new zealand \| 17.26 metres \| 17.08 \| 15.84 \| 16.81 \| 17.26 \| 17.24 \| 17.23 row 5 : 5 \| margitta helmbold \| germany \| 16.91 metres \| 16.67 \| 15.87 \| None \| 16.6 \| 16.91 \| 16.34 row 6 : 6 \| irina press \| soviet union \| 16.71 metres \| None \| 16.5 \| None \| 15.81 \| 15.78 \| 16.71 row 7 : 7 \| nancy mccredie \| canada \| 15.89 metres \| 15.89 \| 15.13 \| 15.27 \| None \| None \| None row 8 : 8 \| ana salagean \| romania \| 15.83 metres \| 15.79 \| 15.83 \| 15.7 \| None \| None \| None row 9 : 9 \| johanna hubner \| germany \| 15.77 metres \| 15.77 \| None \| None \| None \| None \| None row 10 : 10 \| ivanka khristova \| bulgaria \| 15.69 metres \| 15.69 \| None \| 15.35 \| None \| None \| None row 11 : 11 \| judit bognar \| hungary \| 15.65 metres \| 15.65 \| None \| None \| None \| None \| None row 12 : 12 \| earlene brown \| united states \| 14.80 metres \| 14.25 \| 13.43 \| 14.8 \| None \| None \| None ] Execute this SQL based on the above table: select ( select min ( throw 2 ) where throw 2 > '15.13' ) - '15.13'	0.6999999999999993
[ header: star \| start year \| end year \| maximum year \| maximum magnitude \| distance at maximum (ly) \| current distance \| current magnitude row 1 : epsilon canis majoris \| None \| -4,460,000 \| -4,700,000 \| -3.99 \| 34 \| 430 \| 1.5 row 2 : beta canis majoris \| -4,460,000 \| -3,700,000 \| -4,420,000 \| -3.65 \| 37 \| 500 \| 1.99 row 3 : canopus (first time) \| -3,700,000 \| -1,370,000 \| -3,110,000 \| -1.86 \| 177 \| 310 \| -0.72 row 4 : zeta sagittarii \| -1,370,000 \| -1,080,000 \| -1,200,000 \| -2.74 \| 8 \| 89.1 \| 2.6 row 5 : zeta leporis \| -1,080,000 \| -950,000 \| -1,050,000 \| -2.05 \| 5.3 \| 70 \| 3.55 row 6 : canopus (second time) \| -950,000 \| -420,000 \| -950,000 \| -1.09 \| 252 \| 310 \| -0.72 row 7 : aldebaran \| -420,000 \| -210,000 \| -320,000 \| -1.54 \| 21.5 \| 65 \| 0.85 row 8 : capella \| -210,000 \| -160,000 \| -240,000 \| -0.82 \| 27.9 \| 42.2 \| 0.08 row 9 : canopus (third time) \| -160,000 \| -90,000 \| -160,000 \| -0.7 \| 302 \| 310 \| -0.72 row 10 : sirius (current) \| -90,000 \| +210,000 \| +60,000 \| -1.64 \| 7.8 \| 8.6 \| -1.46 row 11 : vega \| +210,000 \| +480,000 \| +290,000 \| -0.81 \| 17.2 \| 25.04 \| 0.03 row 12 : canopus (fourth time) \| +480,000 \| +990,000 \| +480,000 \| -0.4 \| 346 \| 310 \| -0.72 row 13 : beta aurigae \| +990,000 \| +1,150,000 \| +1,190,000 \| -0.4 \| 28.5 \| 82.1 \| 1.9 row 14 : delta scuti \| +1,150,000 \| +1,330,000 \| +1,250,000 \| -1.84 \| 9.2 \| 187 \| 4.72 row 15 : gamma draconis \| +1,330,000 \| +2,030,000 \| +1,550,000 \| -1.39 \| 27.7 \| 154 \| 2.36 row 16 : upsilon librae \| +2,030,000 \| +2,670,000 \| +2,290,000 \| -0.46 \| 30 \| 195 \| 3.6 row 17 : nr canis majoris \| +2,670,000 \| +3,050,000 \| +2,870,000 \| -0.88 \| 14 \| 280 \| 5.6 row 18 : omicron herculis \| +3,050,000 \| +3,870,000 \| +3,470,000 \| -0.63 \| 44 \| 346 \| 3.83 row 19 : beta cygni \| +3,870,000 \| None \| +4,610,000 \| -0.52 \| 80 \| 390 \| 3.18 ] Execute this SQL based on the above table: select distance at maximum (ly) order by current distance desc limit 1	37
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre \| notes row 1 : primislao, primo re di \| dramma per musica \| 3 acts \| giulio cesare corradi \| 1697, autumn \| venice, teatro s \| music lost row 2 : aminta \| dramma regio pastorale \| 3 acts \| apostolo zeno \| 1703, autumn \| florence, cocomero \| music lost row 3 : il piu fedel tra \| dramma per musica \| 3 acts \| francesco silvani \| 1705, autumn \| genoa, falcone \| music lost row 4 : la prosperita di elio \| dramma per musica \| 3 acts \| nicolo minato \| 1707, carnival \| genoa, falcone \| music lost row 5 : la fortezza al cimento \| melodramma \| 2 acts \| francesco silvani \| 1707 \| piacenza, ducale \| music lost row 6 : engelberta \| dramma per musica \| 3 acts \| apostolo zeno and pi \| 1709, carnival \| venice, teatro s \| 4th and 5th acts by francesco row 7 : ciro \| dramma per musica \| 3 acts \| pietro pariati \| 1710, carnival \| venice, teatro s \| music lost row 8 : il tiranno eroe \| dramma per musica \| 3 acts \| vincenzo cassani \| 1711, carnival \| venice, teatro s \| None row 9 : le gare generose \| dramma per musica \| 3 acts \| antonio zaniboni \| 1712, autumn \| venice, teatro s \| music lost, except five arias row 10 : eumene \| dramma per musica \| 3 acts \| antonio salvi \| 1717, autumn \| venice, teatro s \| music lost, except one aria row 11 : meleagro \| dramma per musica \| 3 acts \| pietro antonio bern \| 1718, carnival \| venice, teatro s \| music lost row 12 : scipione nelle spagne \| dramma per musica \| 3 acts \| apostolo zeno \| 1724, ascension \| venice, teatro s \| music lost row 13 : didone abbandonata \| tragedia \| 3 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 14 : l'impresario delle is \| intermezzo \| 2 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 15 : ardelinda \| dramma \| 3 acts \| bartolomeo vitturi \| 1732, autumn \| venice, teatro s \| music lost, except five arias row 16 : artamene \| dramma per musica \| 3 acts \| bartolomeo vitturi \| 1741, carnival \| venice, teatro s \| music lost ] Execute this SQL based on the above table: select place, theatre where title = 'il piu fedel tra i vassalli' and subdivisions = ( select subdivisions where place, theatre = 'venice, teatro san giovanni grisostomo' )	genoa, falcone
[ header: round \| circuit \| location \| date \| pole position \| fastest lap \| winning driver \| headline event row 1 : 1 \| albert whitted airport \| st. petersburg, florid \| february 23 \| leonardo maia \| dan di leo \| leonardo maia \| grand prix of st. petersburg row 2 : 2 \| fundidora park \| monterrey \| march 23 \| leonardo maia \| david martinez \| david martinez \| monterrey grand prix row 3 : 3 \| milwaukee mile \| west allis, wisconsin \| june 1 \| victor gonzalez, j \| scott poirier \| leonardo maia \| milwaukee mile centennial 250 row 4 : 4 \| mazda raceway laguna sec \| monterey, californi \| june 15 \| memo rojas \| leonardo maia \| dan di leo \| grand prix of monterey row 5 : 5 \| portland international raceway \| portland, oregon \| june 22 \| leonardo maia \| leonardo maia \| leonardo maia \| g.i. joe's row 6 : 6 \| burke lakefront airport \| cleveland, ohio \| july 5 \| leonardo maia \| leonardo maia \| leonardo maia \| u.s. bank cleveland row 7 : 7 \| exhibition place \| toronto \| july 13 \| leonardo maia \| leonardo maia \| memo rojas \| molson indy toronto row 8 : 8 \| concord pacific place \| vancouver \| july 27 \| leonardo maia \| david martinez \| leonardo maia \| molson indy vancouver row 9 : 9 \| mid-ohio sports car course \| lexington, ohio \| august 3 \| leonardo maia \| leonardo maia \| leonardo maia \| champ car grand prix of mid-ohi row 10 : 10 \| circuit gilles villeneuve \| montreal \| august 24 \| memo rojas \| leonardo maia \| memo rojas \| molson indy montreal ] Execute this SQL based on the above table: select date where round = 9	august 3
[ header: # \| title \| producers \| guest performers \| length row 1 : 1 \| "throw aways" \| maj & sosa \| gorilla zoe & y \| 3:11 row 2 : 2 \| "i'm a gangsta" \| drew \| None \| 4:16 row 3 : 3 \| "life goes on interlude #1 \| None \| lil' duval \| 0:58 row 4 : 4 \| "screwed up" \| mr. lee \| lil' wayne \| 5:02 row 5 : 5 \| "against all odds" \| q-stone \| 2pac \| 4:22 row 6 : 6 \| "life goes on interlude #2 \| None \| lil' duval \| 1:12 row 7 : 7 \| "nuthin' 2 a boss" \| i.n.f.o. \| slim thug \| 3:59 row 8 : 8 \| "life goes on" \| goichi & mike dean \| l. boogie \| 4:11 row 9 : 9 \| "smile" \| sean t \| jadakiss & styles p \| 4:32 row 10 : 10 \| "life goes on interlude #3 \| None \| lil' duval \| 1:12 row 11 : 11 \| "give my last breathe intro" \| mike dean \| None \| 1:40 row 12 : 12 \| "give my last breathe" \| mr. lee \| None \| 4:23 row 13 : 13 \| "gittin' high" \| mr. rogers \| None \| 4:06 row 14 : 14 \| "life goes on interlude #4 \| None \| lil' duval \| 1:00 row 15 : 15 \| "ghetto queen" \| i.n.f.o. \| lloyd & rich boy \| 5:00 row 16 : 16 \| "million bucks" \| platinum hands \| jay'ton & lil \| 4:43 row 17 : 17 \| "c me ride" \| nitti \| None \| 4:51 row 18 : 18 \| "i'm good" \| i.n.f.o. \| jody breeze \| 4:21 row 19 : 19 \| "the truth" \| i.n.f.o. \| None \| 4:07 row 20 : 20 \| "life goes on" (outro) \| None \| lil' duval \| 0:38 ] Execute this SQL based on the above table: select count ( producers ) where length > '4:21'	0
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select time where nationality = 'brazil'	54.63
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 4 \| 3 \| 2 \| 9 row 2 : 2 \| canada \| 4 \| 2 \| 1 \| 7 row 3 : 3 \| united states \| 2 \| 0 \| 2 \| 4 row 4 : 4 \| mexico \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ecuador \| 1 \| 0 \| 0 \| 1 row 6 : 6 \| argentina \| 0 \| 4 \| 3 \| 7 row 7 : 7 \| brazil \| 0 \| 2 \| 2 \| 4 row 8 : 8 \| chile \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| venezuela \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 12 \| 12 \| 12 \| 36 ] Execute this SQL based on the above table: select nation order by bronze desc limit 1	total
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select street address order by id desc limit 1	80 8th street south
[ header: term (french) \| description \| temperature range \| temperature range \| usda recommended row 1 : extra-rare or blue (bleu) \| very red and cold \| 46-49 °c \| 115-120 °f \| None row 2 : rare (saignant) \| cold red center; soft \| 52-55 °c \| 125-130 °f \| None row 3 : medium rare (a point) \| warm red center; firmer \| 55-60 °c \| 130-140 °f \| 145 °f row 4 : medium (demi-anglais) \| pink and firm \| 60-65 °c \| 140-150 °f \| 160 °f row 5 : medium well (cuit) \| small amount of pink in the center \| 65-69 °c \| 150-155 °f \| None row 6 : well done (bien cuit) \| gray-brown throughout; firm \| 71-100 °c \| 160-212 °f \| 170 °f row 7 : over cooked (trop cuit, carbonise \| blacken throughout; hard \| > 100 °c \| > 212 °f \| 300 °f ] Execute this SQL based on the above table: select count ( distinct description )	7
[ header: # \| title \| producer(s) \| performer (s) \| sample(s) \| length row 1 : 1 \| "likwit" \| e-swift, th \| tash, j-ro, \| "ode to billy joe" \| 2:34 row 2 : 2 \| "only when i'm drunk" \| e-swift, th \| j-ro, tash, \| "seven minutes of funk" by \| 3:36 row 3 : 3 \| "last call" \| e-swift, king \| tash, j-ro, \| "the payback" by james brown \| 4:37 row 4 : 4 \| "can't tell me shit" \| derick "d. pimp" willi \| e-swift, j \| "think(about it)" by ly \| 4:09 row 5 : 5 \| "turn tha party out" \| lootpack, tha alka \| lootpack, tash, \| "synthetic substitution" by mel \| 3:19 row 6 : 6 \| "bullshit" \| king tee, e- \| j-ro, king t \| "it's a new day" by \| 3:27 row 7 : 7 \| "soda pop" \| e-swift, king \| e-swift, field trip \| "hard times" by baby huey "s \| 2:48 row 8 : 8 \| "make room" \| e-swift, th \| j-ro, tash \| "sing a simple song" by \| 3:28 row 9 : 9 \| "mary jane" \| lootpack, tha alka \| j-ro, tash \| "mary jane" by rick \| 3:31 row 10 : 10 \| "who dem niggas" \| e-swift, th \| threat, e-swift, \| "take me to the mardi gras" by \| 3:46 ] Execute this SQL based on the above table: select producer(s) order by # asc limit 1	e-swift, tha alkaholiks
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where shoot location = 'smff se-ma-for łodz, poland'	smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland, smff se-ma-for łodz, poland
[ header: name of place \| number of counties \| principal county \| lower zip code row 1 : aberdeen \| 1 \| monroe county \| 72134 row 2 : advance \| 1 \| baxter county \| None row 3 : aggie \| 1 \| craighead county \| None row 4 : air base \| 1 \| pulaski county \| 72076 row 5 : alabam \| 1 \| madison county \| 72740 row 6 : alamo \| 1 \| montgomery county \| None row 7 : albion \| 1 \| white county \| 72143 row 8 : alexander \| 1 \| greene county \| 72450 row 9 : alexander \| 2 \| pulaski county \| 72002 row 10 : alfrey \| 1 \| monroe county \| 72021 row 11 : algoa \| 1 \| jackson county \| 72112 row 12 : alix \| 1 \| franklin county \| 72820 row 13 : alleene \| 1 \| little river county \| 71820 row 14 : allis \| 1 \| drew county \| None row 15 : alpha \| 1 \| yell county \| None row 16 : amy \| 1 \| ouachita county \| 71701 row 17 : andrews \| 1 \| white county \| None row 18 : anthony \| 1 \| hempstead county \| 71801 row 19 : anthony subdivision \| 1 \| crittenden county \| None row 20 : anthonyville \| 1 \| crittenden county \| 72301 row 21 : antioch \| 1 \| white county \| 72012 row 22 : apalco \| 1 \| lafayette county \| None row 23 : appleby \| 1 \| washington county \| None row 24 : applegate ford \| 1 \| carroll county \| None row 25 : arbaugh \| 1 \| newton county \| 72852 row 26 : arden \| 1 \| little river county \| 71822 row 27 : arkansas a and m \| 1 \| drew county \| None row 28 : arkansas polytechnic college \| 1 \| pope county \| None row 29 : arkansas state teachers college \| 1 \| faulkner county \| None row 30 : arkawana \| 1 \| baxter county \| None row 31 : arkinda \| 1 \| little river county \| 71836 row 32 : armstrong \| 1 \| sharp county \| 72482 row 33 : artesian \| 1 \| calhoun county \| None row 34 : artex \| 1 \| miller county \| None row 35 : artist point \| 1 \| crawford county \| None row 36 : asher \| 1 \| madison county \| 72727 row 37 : asher \| 1 \| pulaski county \| 72204 row 38 : ash flat \| 2 \| sharp county \| 72513 row 39 : ash flat \| 2 \| fulton county \| 72513 row 40 : ashton \| 1 \| chicot county \| 71653 row 41 : athelstan \| 1 \| mississippi county \| 72370 row 42 : athens \| 1 \| howard county \| 71971 row 43 : attica \| 1 \| randolph county \| 72455 row 44 : atwood \| 1 \| howard county \| None row 45 : aubrey \| 1 \| lee county \| 72311 row 46 : augsburg \| 1 \| pope county \| 72874 row 47 : augusta \| 1 \| woodruff county \| 72006 row 48 : austin \| 1 \| conway county \| 72027 row 49 : avery \| 1 \| lincoln county \| 71639 ] Execute this SQL based on the above table: select name of place where name of place in ( 'andrews' , 'anthonyville' ) order by number of counties asc limit 1	andrews
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( distinct opponent ) where record = '6-6-3'	1
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select men's winner where men's winner != 'philip singoei (ken)' and women's winner = ( select women's winner where men's winner = 'philip singoei (ken)' )	geoffrey mutai (ken)
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select division where cup < ( select cup where division = 'nelonen' ) order by cup desc limit 1	kutonen
[ header: date \| tournament \| winner \| purse ($) \| notes row 1 : 25 feb \| pinamar open \| miguel rodriguez \| 70000 \| None row 2 : 3 mar \| south open \| rafael gomez \| 100000 \| None row 3 : 10 mar \| parana open \| julio zapata \| 70000 \| None row 4 : 8 apr \| norpatagonico open \| luciano dodda (amateur \| None \| pga argentina- no row 5 : 15 apr \| center open \| angel cabrera \| 200000 \| co-sanctioned by the row 6 : 22 apr \| angel cabrera classic \| rafael gomez \| 120000 \| None row 7 : 29 apr \| chaco open \| fabian gomez \| 70000 \| None row 8 : 9 jun \| north open \| ricardo gonzalez, \| 80000 \| None row 9 : 10 jul \| metropolitano open \| jose coceres \| None \| pga argentina- no row 10 : 11 aug \| misiones open \| sergio acevedo \| 70000 \| None row 11 : 19 aug \| carlos franco invitational \| marco ruiz \| 93000 \| None row 12 : 29 sep \| salta open \| andres romero \| 80000 \| None row 13 : 7 oct \| tandil open \| diego ortiz \| 70000 \| None row 14 : 27 oct \| argentine masters \| angel cabrera \| 420000 \| co-sanctioned by the row 15 : 4 nov \| mendoza open \| rafael echen \| 80000 \| None row 16 : 11 nov \| roberto de vicenzo classic \| miguel guzman \| 120000 \| None row 17 : 25 nov \| san luis open \| emilio dominguez \| 450000 \| co-sanctioned by the row 18 : 2 dec \| abierto del litoral \| miguel rodriguez \| 520000 \| co-sanctioned by the row 19 : 9 dec \| argentine open \| marco ruiz \| 600000 \| co-sanctioned by the ] Execute this SQL based on the above table: select winner where winner != 'diego ortiz' and purse ($) = ( select purse ($) where winner = 'diego ortiz' )	miguel rodriguez, julio zapata, fabian gomez, sergio acevedo
[ header: type \| diagonal (mm) \| width (mm) \| height (mm) \| area (mm2) \| stops (area) \| crop factor row 1 : 1/10" \| 1.6 \| 1.28 \| 0.96 \| 1.23 \| -9.51 \| 27.04 row 2 : 1/8" \| 2 \| 1.6 \| 1.2 \| 1.92 \| -8.81 \| 21.65 row 3 : 1/3.2" (iphone 5) \| 5.68 \| 4.54 \| 3.42 \| 15.5 \| -5.8 \| 7.61 row 4 : 1/3" (iphone 5s) \| 6 \| 4.8 \| 3.6 \| 17.3 \| -5.64 \| 7.21 row 5 : 1/2.7" \| 6.72 \| 5.37 \| 4.04 \| 21.7 \| -5.31 \| 6.44 row 6 : super 8mm film frame \| 7.04 \| 5.79 \| 4.01 \| 23.22 \| -5.24 \| 6.15 row 7 : 1/2.3" (pentax q) \| 7.66 \| 6.17 \| 4.55 \| 28.5 \| -4.92 \| 5.64 row 8 : 1/2" (fujifilm hs \| 8 \| 6.4 \| 4.8 \| 30.7 \| -4.81 \| 5.41 row 9 : 1/1.8" (nokia \| 8.93 \| 7.18 \| 5.32 \| 38.2 \| -4.5 \| 4.84 row 10 : 1/1.7" (pentax q7) \| 9.5 \| 7.6 \| 5.7 \| 43.3 \| -4.32 \| 4.55 row 11 : 1/1.6" \| 10.07 \| 8.08 \| 6.01 \| 48.56 \| -4.15 \| 4.3 row 12 : 2/3" (nokia lumia \| 11 \| 8.8 \| 6.6 \| 58.1 \| -3.89 \| 3.93 row 13 : standard 16mm film frame \| 12.7 \| 10.26 \| 7.49 \| 76.85 \| -3.49 \| 3.41 row 14 : blackmagic pocket cinema camera \| 14.32 \| 12.48 \| 7.02 \| 87.6 \| -3.3 \| 3.02 row 15 : super 16mm film frame \| 14.54 \| 12.52 \| 7.41 \| 92.8 \| -3.22 \| 2.97 row 16 : 1" nikon cx, son \| 15.86 \| 13.2 \| 8.8 \| 116 \| -2.9 \| 2.72 row 17 : 1.5" canon g1x \| 23.36 \| 18.7 \| 14 \| 262 \| -1.72 \| 1.85 row 18 : blackmagic production camera 4k \| 24.23 \| 21.12 \| 11.88 \| 251 \| -1.78 \| 1.79 row 19 : canon ef-s, a \| 26.7 \| 22.2 \| 14.8 \| 329 \| -1.39 \| 1.62 row 20 : canon aps-h \| 33.5 \| 27.9 \| 18.6 \| 519 \| -0.73 \| 1.29 row 21 : 35mm full-frame, (nikon \| 43.2-43.3 \| 36 \| 23.9-24.3 \| 860-864 \| 0 \| 1 row 22 : standard 65mm film frame \| 57.3 \| 52.48 \| 23.01 \| 1208 \| 0.81 \| 0.76 row 23 : medium-format (hasselblad h \| 67.08 \| 53.7 \| 40.2 \| 2159 \| 1.26 \| 0.65 row 24 : phase one p 65+, iq \| 67.4 \| 53.9 \| 40.4 \| 2178 \| 1.33 \| 0.64 ] Execute this SQL based on the above table: select type order by type desc limit 1	super 8mm film frame
[ header: year \| title \| role \| notes row 1 : 1984 \| no small affair \| mona \| film debut row 2 : 1985 \| moving violations \| amy hopkins \| None row 3 : 1987 \| inside out \| amy \| None row 4 : 1988 \| johnny be good \| connie hisler \| None row 5 : 1988 \| high spirits \| miranda \| None row 6 : 1989 \| let it ride \| vicki \| None row 7 : 1989 \| the fabulous baker boys \| blanche "monica" moran \| None row 8 : 1991 \| the doors \| okie girl \| uncredited row 9 : 1991 \| scorchers \| talbot \| None row 10 : 1992 \| shadow of the wolf \| igiyook \| None row 11 : 1993 \| made in america \| stacy \| None row 12 : 1994 \| bullets over broadway \| olive neal \| None row 13 : 1994 \| embrace of the vampire \| marika \| None row 14 : 1995 \| bird of prey \| kily griffith \| None row 15 : 1995 \| man with a gun \| rena rushton/kathy \| None row 16 : 1996 \| the pompatus of love \| tarzaan \| None row 17 : 1996 \| house arrest \| cindy figler \| None row 18 : 1996 \| bound \| violet \| None row 19 : 1996 \| american strays \| patty mae \| None row 20 : 1997 \| liar liar \| samantha cole \| None row 21 : 1997 \| edie & pen \| edie piper \| None row 22 : 1997 \| bella mafia \| moyra luciano \| None row 23 : 1997 \| the wrong guy \| lynn holden \| None row 24 : 1998 \| relax...it's just sex \| tara ricotto \| None row 25 : 1998 \| hoods \| mary crippa \| None row 26 : 1998 \| bride of chucky \| tiffany \| None row 27 : 1998 \| music from another room \| nina \| None row 28 : 1999 \| goosed \| charlene \| None row 29 : 1999 \| do not disturb \| cathryn \| None row 30 : 1999 \| bartok the magnificent \| piloff \| voice only direct-to-video row 31 : 1999 \| play it to the bone \| ringside fan \| None row 32 : 2000 \| cord \| helen \| None row 33 : 2000 \| bruno \| dolores \| None row 34 : 2000 \| dancing at the blue iguana \| jo \| None row 35 : 2000 \| the crew \| ferris 'aka maureen' low \| None row 36 : 2001 \| fast sofa \| ginger quail \| None row 37 : 2001 \| ball in the house \| dot \| None row 38 : 2001 \| the cat's meow \| louella parsons \| None row 39 : 2003 \| the haunted mansion \| madame leota \| None row 40 : 2003 \| jericho mansions \| donna cherry \| None row 41 : 2004 \| second best \| carole \| None row 42 : 2004 \| perfect opposites \| elyse steinberg \| None row 43 : 2004 \| home on the range \| grace \| voice only row 44 : 2004 \| el padrino \| sebeva \| None row 45 : 2004 \| love on the side \| alma kerns \| None row 46 : 2005 \| lil' pimp \| miss de la croix \| voice only row 47 : 2005 \| the civilization of maxwell bright \| dr. o'shannon \| None row 48 : 2005 \| tideland \| queen gunhilda \| None row 49 : 2006 \| the poker movie \| herself \| None row 50 : 2007 \| intervention \| None \| None row 51 : 2008 \| deal \| karen 'razor' jo \| None row 52 : 2008 \| the caretaker \| miss perry \| None row 53 : 2008 \| inconceivable \| salome 'sally' marsh \| None ] Execute this SQL based on the above table: select title group by title order by count ( * ) desc limit 1	tideland
[ header: year \| miss northern ireland \| hometown \| placement at miss world \| notes row 1 : 2012 \| tiffany brien \| belfast \| top 30 \| top 10 of beach fashion and 1st row 2 : 2011 \| finola guinnane \| drumbo \| non-finalist \| top 20 of beach beauty and top 77 of row 3 : 2010 \| lori moore \| belfast \| top 25 \| winner of sports at miss world 2010 row 4 : 2009 \| cherie gardiner \| bangor \| non-finalist \| None row 5 : 2008 \| judith wilson \| enniskillen \| non-finalist \| top 19 of talent at miss world 2008 row 6 : 2007 \| melissa patton \| belfast \| non-finalist \| None row 7 : 2006 \| catherine jean milligan \| newtownards \| top 17 \| winner of miss talent at miss world 2006 row 8 : 2005 \| lucy evangelista \| portglenone \| top 15 \| later miss united kingdom 2005 and miss universe united kingdom row 9 : 2004 \| kirsty anne gabriel stew \| enniskillen \| non-finalist \| None row 10 : 2003 \| diana sayers \| belfast \| non-finalist \| None row 11 : 2002 \| gayle williamson \| lurgan \| non-finalist \| later miss united kingdom 2002 row 12 : 2001 \| angela mccarthy \| belfast \| non-finalist \| None row 13 : 2000 \| julie lee-ann mart \| belfast \| non-finalist \| None ] Execute this SQL based on the above table: select hometown where id = ( select id where hometown = 'belfast' ) + 1	drumbo
[ header: ship name \| in service \| project number \| type \| class \| comments row 1 : lenin \| 1959 \| 92m \| icebreaker \| None \| decommissioned 1989. museum ship row 2 : arktika \| 1975 \| 1052-1 \| icebreaker \| arktika \| not operational row 3 : sibir \| 1977 \| 1052-2 \| icebreaker \| arktika \| defueled and not operational since 1993 row 4 : rossiya \| 1985 \| 10521-1 \| icebreaker \| arktika \| None row 5 : sevmorput \| 1988 \| 10081 \| container ship \| None \| has ice-breaking bow row 6 : taymyr \| 1989 \| 10580-1 \| river icebreaker \| taymyr \| None row 7 : sovetskiy soyuz \| 1990 \| 10521-2 \| icebreaker \| arktika \| None row 8 : vaygach \| 1990 \| 10580-2 \| river icebreaker \| taymyr \| None row 9 : yamal \| 1993 \| 10521-3 \| icebreaker \| arktika \| None row 10 : 50 let pobedy \| 2007 \| 10521 \| icebreaker \| arktika \| built as ural, completed in 2007 ] Execute this SQL based on the above table: select in service where in service = 1990	1990, 1990
[ header: party \| votes \| % \| seats \| +/- row 1 : swedish social democratic party \| 1914426 \| 36.4 \| 131 \| -30 row 2 : moderate party \| 1204926 \| 22.9 \| 82 \| 2 row 3 : left party \| 631011 \| 12 \| 43 \| 21 row 4 : christian democrats \| 619046 \| 11.8 \| 42 \| 27 row 5 : centre party \| 269762 \| 5.1 \| 18 \| -9 row 6 : liberal people's party \| 248076 \| 4.7 \| 17 \| -9 row 7 : green party \| 236699 \| 4.5 \| 16 \| -2 row 8 : sweden democrats \| 19624 \| 0.4 \| 0 \| 0 row 9 : other parties \| 117552 \| 2.2 \| 0 \| 0 row 10 : invalid/blank votes \| 113466 \| None \| None \| None row 11 : total \| 5374588 \| 100 \| 349 \| 0 row 12 : registered voters/turnout \| 6603129 \| 81.4 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where party = 'left party'	1
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select count ( nationality ) where nationality = 1278	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 6 \| 3 \| 7 \| 16 row 2 : 2 \| united states \| 5 \| 0 \| 4 \| 9 row 3 : 3 \| japan \| 3 \| 4 \| 1 \| 8 row 4 : 4 \| france \| 3 \| 1 \| 1 \| 5 row 5 : 5 \| ukraine \| 2 \| 0 \| 2 \| 4 row 6 : 6 \| turkey \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| sweden \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| iran \| 1 \| 2 \| 1 \| 4 row 9 : 9 \| armenia \| 1 \| 1 \| 2 \| 4 row 10 : 10 \| china \| 1 \| 1 \| 1 \| 3 row 11 : 11 \| austria \| 1 \| 0 \| 0 \| 1 row 12 : 11 \| bulgaria \| 1 \| 0 \| 0 \| 1 row 13 : 11 \| south korea \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| germany \| 0 \| 3 \| 4 \| 7 row 15 : 15 \| kazakhstan \| 0 \| 3 \| 0 \| 3 row 16 : 16 \| cuba \| 0 \| 2 \| 3 \| 5 row 17 : 17 \| norway \| 0 \| 2 \| 0 \| 2 row 18 : 18 \| venezuela \| 0 \| 1 \| 1 \| 2 row 19 : 19 \| canada \| 0 \| 1 \| 0 \| 1 row 20 : 19 \| hungary \| 0 \| 1 \| 0 \| 1 row 21 : 19 \| israel \| 0 \| 1 \| 0 \| 1 row 22 : 19 \| moldova \| 0 \| 1 \| 0 \| 1 row 23 : 19 \| poland \| 0 \| 1 \| 0 \| 1 row 24 : 19 \| romania \| 0 \| 1 \| 0 \| 1 row 25 : 25 \| uzbekistan \| 0 \| 0 \| 1 \| 1 row 26 : total \| total \| 29 \| 29 \| 29 \| 87 ] Execute this SQL based on the above table: select count ( * ) where gold >= 10	1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 106 \| august 2 \| pirates \| 2-3 \| rick white (4-5) \| bobby munoz (7-4) \| dan miceli (2) \| 40164 \| 51-55 row 2 : 107 \| august 3 \| pirates \| 7-0 \| danny jackson (14-5) \| steve cooke (4-10) \| none \| 36542 \| 52-55 row 3 : 108 \| august 4 \| pirates \| 1-5 \| jon lieber (6-6) \| curt schilling (1-8) \| none \| 37481 \| 52-56 row 4 : 109 \| august 5 \| expos \| 0-5 \| pedro martinez (10-5) \| david west (4-9) \| none \| 33642 \| 52-57 row 5 : 110 \| august 6 \| expos \| 3-4 (11) \| john wetteland (4-6) \| doug jones (2-4) \| jeff shaw (1) \| 41699 \| 52-58 row 6 : 111 \| august 7 \| expos \| 4-6 \| ken hill (16-5) \| bobby munoz (7-5) \| mel rojas (16) \| 45346 \| 52-59 row 7 : 112 \| august 8 \| mets \| 2-3 \| bobby j. jones (12 \| danny jackson (14-6) \| john franco (29) \| 35977 \| 52-60 row 8 : 113 \| august 9 \| mets \| 5-1 \| curt schilling (2-8) \| mike remlinger (1-5) \| none \| 31740 \| 53-60 row 9 : 114 \| august 10 \| mets \| 2-6 \| bret saberhagen ( \| david west (4-10) \| john franco (30) \| 36716 \| 53-61 row 10 : 115 \| august 11 \| mets \| 2-1 (15) \| tom edens (5-1) \| mauro gozzo (3-5) \| none \| 37605 \| 54-61 ] Execute this SQL based on the above table: select loss where # < 1788	bobby munoz (7-4), steve cooke (4-10), curt schilling (1-8), david west (4-9), doug jones (2-4), bobby munoz (7-5), danny jackson (14-6), mike remlinger (1-5), david west (4-10), mauro gozzo (3-5)
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 21 december 2004 \| rajamangala stadium, bang \| thailand \| 3–1 \| 5–1 \| friendly row 2 : 5 \| 15 june 2005 \| commerzbank-arena, \| australia \| 4–2 \| 4–3 \| fifa confederations cup 2005 row 3 : 7 \| 29 june 2005 \| zentralstadion, leip \| mexico \| 1–0 \| 4–3 \| fifa confederations cup 2005 row 4 : 9 \| 7 september 2005 \| olympiastadion \| south africa \| 3–1 \| 4–2 \| friendly row 5 : 10 \| 7 september 2005 \| olympiastadion \| south africa \| 4–2 \| 4–2 \| friendly row 6 : 11 \| 27 may 2006 \| badenova stadion, freiburg \| luxembourg \| 3–0 \| 7–0 \| friendly row 7 : 12 \| 27 may 2006 \| badenova stadion, freiburg \| luxembourg \| 5–0 \| 7–0 \| friendly row 8 : 14 \| 24 june 2006 \| allianz arena, munich, germany \| sweden \| 1–0 \| 2–0 \| fifa world cup 2006 row 9 : 19 \| 6 september 2006 \| stadio olimpico, ser \| san marino \| 8–0 \| 13–0 \| uefa euro 2008 qualifying row 10 : 22 \| 11 october 2006 \| tehelne pole stad \| slovakia \| 4–1 \| 4–1 \| uefa euro 2008 qualifying row 11 : 23 \| 12 september 2007 \| rhein-energie stadion \| romania \| 3–1 \| 3–1 \| friendly row 12 : 24 \| 17 november 2007 \| awd arena, hanover, \| cyprus \| 3–0 \| 4–0 \| uefa euro 2008 qualifying row 13 : 27 \| 8 june 2008 \| worthersee stadion, k \| poland \| 2–0 \| 2–0 \| uefa euro 2008 row 14 : 28 \| 12 june 2008 \| worthersee stadion, k \| croatia \| 1–2 \| 1–2 \| uefa euro 2008 row 15 : 30 \| 6 september 2008 \| rheinpark stadion, \| liechtenstein \| 2–0 \| 6–0 \| fifa world cup 2010 qualifying row 16 : 31 \| 11 october 2008 \| signal iduna park, dortm \| russia \| 1–0 \| 2–1 \| fifa world cup 2010 qualifying row 17 : 33 \| 29 may 2009 \| shanghai stadium, shang \| china pr \| 1–1 \| 1–1 \| friendly row 18 : 37 \| 18 november 2009 \| veltins-arena, \| ivory coast \| 2–2 \| 2–2 \| friendly row 19 : 38 \| 29 may 2010 \| stadium puskas ferenc, \| hungary \| 1–0 \| 3–0 \| friendly row 20 : 39 \| 13 june 2010 \| moses mabhida stadium, d \| australia \| 1–0 \| 4–0 \| fifa world cup 2010 row 21 : 41 \| 7 september 2010 \| rheinenergiestadion, \| azerbaijan \| 2–0 \| 6–1 \| uefa euro 2012 qualifying ] Execute this SQL based on the above table: select date order by # desc limit 1	7 september 2010
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select bronze where bronze in ( 1 , 4 ) order by nation asc limit 1	1
[ header: seasons \| team \| ch.wins \| promotions \| relegations row 1 : 10 \| aurora basket jesi \| 0 \| 1 \| 1 row 2 : 10 \| andrea costa imola \| 0 \| 0 \| 3 row 3 : 9 \| nuova pallacanestro pavia \| 0 \| 0 \| 0 row 4 : 9 \| scafati basket \| 1 \| 1 \| 0 row 5 : 8 \| basket club ferrara \| 1 \| 1 \| 0 row 6 : 8 \| pallac. reggiana reggio e \| 2 \| 2 \| 0 row 7 : 7 \| novara \| 0 \| 0 \| 3 row 8 : 6 \| a.s. junior pallacane \| 1 \| 1 \| 1 row 9 : 5 \| rb montecatini terme \| 0 \| 0 \| 1 row 10 : 5 \| fabriano basket \| 0 \| 0 \| 1 row 11 : 5 \| societa veroli basket \| 0 \| 0 \| 0 row 12 : 5 \| pistoia basket 2000 \| 0 \| 0 \| 0 row 13 : 4 \| juve caserta basket \| 0 \| 1 \| 0 row 14 : 3 \| nuova sebastiani rieti \| 1 \| 1 \| 0 row 15 : 3 \| progresso castelmaggiore \| 0 \| 0 \| 0 row 16 : 3 \| orlandina basket \| 1 \| 1 \| 1 row 17 : 3 \| sutor basket montegranaro \| 0 \| 1 \| 1 row 18 : 3 \| virtus ragusa \| 0 \| 0 \| 1 row 19 : 3 \| robur basket osimo \| 0 \| 0 \| 1 row 20 : 3 \| reyer venezia \| 0 \| 1 \| 0 row 21 : 3 \| new basket brindisi \| 1 \| 2 \| 0 row 22 : 2 \| pallacanestro messina \| 0 \| 1 \| 0 row 23 : 2 \| basket trapani \| 0 \| 0 \| 1 row 24 : 2 \| basket draghi castelletto tic \| 0 \| 0 \| 0 row 25 : 2 \| pallalcesto amatori udin \| 0 \| 0 \| 0 row 26 : 2 \| unione cestistica casalpuster \| 0 \| 0 \| 0 row 27 : 2 \| basket barcellona \| 0 \| 0 \| 0 row 28 : 2 \| fulgor libertas forl \| 0 \| 0 \| 1 row 29 : 2 \| scaligera basket verona \| 0 \| 0 \| 1 row 30 : 1 \| societa sportiva basket n \| 1 \| 1 \| 0 row 31 : 1 \| centro sportivo borgomanero \| 0 \| 0 \| 0 row 32 : 1 \| teramo basket \| 1 \| 1 \| 0 row 33 : 1 \| virtus pallacanestro bo \| 0 \| 1 \| 0 row 34 : 1 \| victoria libertas pes \| 0 \| 1 \| 0 row 35 : 1 \| nuova pallacanestro vige \| 0 \| 0 \| 0 row 36 : 1 \| cestistica san sever \| 0 \| 0 \| 1 row 37 : 1 \| basket brescia leonessa \| 0 \| 0 \| 0 row 38 : 1 \| unione cestistica piacentin \| 0 \| 0 \| 0 row 39 : 1 \| ostuni basket \| 0 \| 0 \| 0 row 40 : 1 \| biancoblu basket bologna \| 0 \| 0 \| 0 ] Execute this SQL based on the above table: select count ( promotions ) where team is null	0
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select count ( division ) where place = '18th'	1
[ header: transmitter \| kw \| bbca \| bbcb \| d3&4 \| sdn \| arqa \| arqb \| pol. \| a.g. row 1 : allenheads \| 0.002 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 2 : alston \| 0.08 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 3 : bellingham \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 4 : blaydon burn \| 0.002 \| 44 \| 47 \| 41 \| None \| None \| None \| v \| b e k row 5 : byrness \| 0.01 \| 27 \| 21 \| 24 \| None \| None \| None \| v \| a k row 6 : catton beacon \| 0.028 \| 40 \| 46 \| 43 \| None \| None \| None \| v \| b e k row 7 : durham \| 0.003 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 8 : esh \| 0.0024 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 9 : felling \| 0.002 \| 40 \| 43 \| 46 \| None \| None \| None \| v \| b e k row 10 : fenham \| 0.4 \| 27 \| 21 \| 24 \| 25 \| 22 \| 28 \| v \| a k row 11 : haltwhistle \| 0.4 \| 59 \| 55 \| 62- \| None \| None \| None \| v \| c/d e row 12 : haydon bridge \| 0.02 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 13 : hedleyhope \| 0.004 \| 41 \| 47 \| 44 \| None \| None \| None \| v \| b e k row 14 : humshaugh \| 0.0118 \| 39 \| 45 \| 42 \| None \| None \| None \| v \| b e k row 15 : ireshopeburn \| 0.0022 \| 55 \| 59 \| 50 \| None \| None \| None \| v \| c/d e row 16 : kielder \| 0.0054 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 17 : morpeth \| 0.0088 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 18 : newton \| 0.4 \| 26 \| 23 \| 29 \| None \| None \| None \| v \| a k row 19 : seaham \| 0.059 \| 44 \| 47 \| 46 \| None \| None \| None \| v \| b e k row 20 : shotleyfield \| 0.04 \| 22 \| 28 \| 25 \| None \| None \| None \| v \| a k row 21 : staithes \| 0.002 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 22 : sunderland \| 0.006 \| 52 \| 51 \| 48 \| None \| None \| None \| v \| b c/d e row 23 : wall \| 0.0042 \| 52 \| 51 \| 48 \| None \| None \| None \| h \| b c/d e row 24 : weardale \| 0.2 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k row 25 : whitaside \| 0.0025 \| 44 \| 41 \| 47 \| None \| None \| None \| v \| b e k ] Execute this SQL based on the above table: select pol. where bbcb > ( select bbcb where pol. = 'v' ) order by bbcb limit 1	v
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| alex zanardi \| chip ganassi racing \| 95 \| 1:52:24.080 \| 2 \| 20 row 2 : 2 \| 6 \| michael andretti \| newman-haas racing \| 95 \| 1.921 \| 3 \| 16 row 3 : 3 \| 12 \| jimmy vasser \| chip ganassi racing \| 95 \| 6.702 \| 6 \| 14 row 4 : 4 \| 7 \| bobby rahal \| team rahal \| 95 \| 8.078 \| 9 \| 12 row 5 : 5 \| 8 \| bryan herta \| team rahal \| 95 \| 12.984 \| 17 \| 10 row 6 : 6 \| 20 \| scott pruett \| patrick racing \| 95 \| 14.607 \| 8 \| 8 row 7 : 7 \| 10 \| richie hearn \| della penna motorsports \| 95 \| 15.305 \| 13 \| 6 row 8 : 8 \| 25 \| max papis \| arciero-wells racing \| 95 \| 24.676 \| 20 \| 5 row 9 : 9 \| 40 \| adrian fernandez \| patrick racing \| 95 \| 31.923 \| 16 \| 4 row 10 : 10 \| 16 \| helio castro-neves \| bettenhausen racing \| 95 \| 32.691 \| 21 \| 3 row 11 : 11 \| 99 \| greg moore \| forsythe racing \| 95 \| 34.926 \| 12 \| 2 row 12 : 12 \| 17 \| mauricio gugelmin \| pacwest racing group \| 95 \| 37.64 \| 19 \| 1 row 13 : 13 \| 24 \| robby gordon \| arciero-wells racing \| 94 \| +1 lap \| 22 \| None row 14 : 14 \| 26 \| paul tracy \| team kool green \| 94 \| +1 lap \| 10 \| None row 15 : 15 \| 77 \| arnd meier \| davis racing \| 94 \| +1 lap \| 25 \| None row 16 : 16 \| 11 \| christian fittipaldi \| newman-haas racing \| 93 \| +2 laps \| 5 \| None row 17 : 17 \| 2 \| al unser, jr \| marlboro team penske \| 93 \| +2 laps \| 14 \| None row 18 : 18 \| 19 \| michel jourdain jr \| payton/coyne racing \| 93 \| +2 laps \| 24 \| None row 19 : 19 \| 98 \| p. j. jones \| all american racing \| 84 \| suspension \| 23 \| None row 20 : 20 \| 27 \| dario franchitti \| team kool green \| 79 \| brakes \| 1 \| 1+1 row 21 : 21 \| 34 \| gualter salles \| payton/coyne racing \| 65 \| contact \| 28 \| None row 22 : 22 \| 21 \| tony kanaan \| tasman motorsports group \| 61 \| fire \| 7 \| None row 23 : 23 \| 3 \| andre ribeiro \| marlboro team penske \| 54 \| transmission \| 11 \| None row 24 : 24 \| 9 \| jj lehto \| hogan racing \| 37 \| contact \| 26 \| None row 25 : 25 \| 33 \| patrick carpentier \| forsythe racing \| 33 \| suspension \| 18 \| None row 26 : 26 \| 18 \| mark blundell \| pacwest racing group \| 30 \| electrical \| 15 \| None row 27 : 27 \| 5 \| gil de ferran \| walker racing \| 26 \| contact \| 4 \| None row 28 : 28 \| 36 \| alex barron \| all american racing \| 25 \| contact \| 27 \| None ] Execute this SQL based on the above table: select ( select pos where driver = 'mauricio gugelmin' ) - ( select pos where driver = 'michel jourdain jr' )	-6.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select competition where # = 4	euro 2004 qualifier
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 41 \| 27 \| 13 \| 81 row 2 : 2 \| russia \| 26 \| 22 \| 34 \| 82 row 3 : 3 \| south korea \| 26 \| 12 \| 17 \| 55 row 4 : 4 \| ukraine \| 23 \| 15 \| 17 \| 55 row 5 : 5 \| japan \| 13 \| 13 \| 21 \| 47 row 6 : 6 \| france \| 8 \| 8 \| 4 \| 20 row 7 : 7 \| great britain \| 8 \| 3 \| 6 \| 17 row 8 : 8 \| united states \| 5 \| 13 \| 18 \| 36 row 9 : 9 \| north korea \| 3 \| 8 \| 3 \| 14 row 10 : 10 \| poland \| 3 \| 4 \| 3 \| 10 row 11 : 11 \| chinese taipei \| 3 \| 3 \| 5 \| 11 row 12 : 12 \| belarus \| 3 \| 3 \| 4 \| 10 row 13 : 13 \| germany \| 3 \| 2 \| 8 \| 13 row 14 : 14 \| hungary \| 3 \| 2 \| 7 \| 12 row 15 : 15 \| czech republic \| 3 \| 0 \| 3 \| 6 row 16 : 16 \| australia \| 2 \| 5 \| 5 \| 12 row 17 : 17 \| italy \| 2 \| 5 \| 5 \| 12 row 18 : 18 \| kazakhstan \| 2 \| 4 \| 0 \| 6 row 19 : 19 \| south africa \| 2 \| 1 \| 2 \| 5 row 20 : 20 \| uzbekistan \| 2 \| 0 \| 1 \| 3 row 21 : 21 \| spain \| 1 \| 4 \| 8 \| 13 row 22 : 22 \| brazil \| 1 \| 2 \| 8 \| 11 row 23 : 23 \| romania \| 1 \| 2 \| 4 \| 7 row 24 : 24 \| netherlands \| 1 \| 1 \| 2 \| 4 row 25 : 25 \| morocco \| 1 \| 1 \| 1 \| 3 row 26 : 25 \| serbia and montenegro \| 1 \| 1 \| 1 \| 3 row 27 : 27 \| latvia \| 1 \| 0 \| 0 \| 1 row 28 : 27 \| moldova \| 1 \| 0 \| 0 \| 1 row 29 : 29 \| mexico \| 0 \| 3 \| 2 \| 5 row 30 : 30 \| finland \| 0 \| 3 \| 1 \| 4 row 31 : 32 \| iran \| 0 \| 2 \| 2 \| 4 row 32 : 33 \| slovenia \| 0 \| 2 \| 0 \| 2 row 33 : 33 \| turkey \| 0 \| 2 \| 0 \| 2 row 34 : 35 \| canada \| 0 \| 1 \| 2 \| 3 row 35 : 35 \| switzerland \| 0 \| 1 \| 2 \| 3 row 36 : 35 \| estonia \| 0 \| 1 \| 2 \| 3 row 37 : 38 \| cuba \| 0 \| 1 \| 1 \| 2 row 38 : 38 \| ireland \| 0 \| 1 \| 1 \| 2 row 39 : 40 \| denmark \| 0 \| 1 \| 0 \| 1 row 40 : 40 \| uganda \| 0 \| 1 \| 0 \| 1 row 41 : 42 \| croatia \| 0 \| 0 \| 3 \| 3 row 42 : 42 \| thailand \| 0 \| 0 \| 3 \| 3 row 43 : 44 \| israel \| 0 \| 0 \| 2 \| 2 row 44 : 45 \| armenia \| 0 \| 0 \| 1 \| 1 row 45 : 45 \| jamaica \| 0 \| 0 \| 1 \| 1 row 46 : 45 \| mongolia \| 0 \| 0 \| 1 \| 1 row 47 : 45 \| malaysia \| 0 \| 0 \| 1 \| 1 row 48 : 45 \| austria \| 0 \| 0 \| 1 \| 1 row 49 : 45 \| greece \| 0 \| 0 \| 1 \| 1 row 50 : 45 \| cyprus \| 0 \| 0 \| 1 \| 1 row 51 : 45 \| bahamas \| 0 \| 0 \| 1 \| 1 row 52 : 45 \| bosnia and herzegovin \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( * ) desc limit 1	uzbekistan
[ header: party \| previous council \| staying councillors \| seats up for election \| election result \| new council row 1 : conservatives \| 29 \| 19 \| 10 \| 8 \| 28 row 2 : labour \| 19 \| 13 \| 6 \| 10 \| 23 row 3 : socialist alternative \| 3 \| 2 \| 1 \| 0 \| 2 row 4 : liberal democrats \| 2 \| 1 \| 1 \| 0 \| 1 row 5 : british national party \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : green \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : independent \| 0 \| 0 \| 0 \| 0 \| 0 row 8 : respect \| 0 \| 0 \| 0 \| 0 \| 0 row 9 : total \| 54 \| 36 \| 18 \| 18 \| 54 ] Execute this SQL based on the above table: select party where previous council < ( select previous council where party = 'labour' ) order by previous council desc limit 1	socialist alternative
[ header: year \| derby winner \| galaxy \| draw \| chivas row 1 : 2005 \| galaxy \| 5 \| 0 \| 0 row 2 : 2006 \| galaxy \| 2 \| 1 \| 1 row 3 : 2007 \| chivas \| 1 \| 1 \| 2 row 4 : 2008 \| galaxy \| 1 \| 2 \| 0 row 5 : 2009 \| galaxy \| 3 \| 2 \| 0 row 6 : 2010 \| galaxy \| 2 \| 0 \| 0 row 7 : 2011 \| galaxy \| 2 \| 0 \| 0 row 8 : 2012 \| galaxy \| 2 \| 0 \| 1 row 9 : 2013 \| galaxy \| 2 \| 1 \| 0 row 10 : total \| None \| 20 \| 7 \| 4 ] Execute this SQL based on the above table: select derby winner where id = ( select id where derby winner = 'chivas' ) - 1	galaxy
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select where landmark name = 'ammo bunker (s-1007)'	3.0