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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select count ( * ) where away team = 'tidaholms gif (d2)'	1
[ header: incumbent \| reason for vacancy \| appointed successor \| date of appointment \| elected successor \| date of election row 1 : l. b. lindsay \| disqualified, never took office \| henry e. prickett \| november 19, 1867 \| thomas b. hart \| january 1868 row 2 : john hailey \| never took office \| charles himrod \| july 10, 1871 \| george h. twitche \| july 8, 1872 row 3 : sol hasbrouck \| resigned november 5, 1885 \| james w. huston \| december 28, 1885 \| peter j. pefley \| july 1887 row 4 : harry fritchman \| resigned may 25, 1912 \| arthur hodges \| may 25, 1912 \| arthur hodges \| april 1, 1913 row 5 : j. w. robinson \| recalled june 1, 1916 \| s. h. hays \| june 6, 1916 \| s. h. hays \| april 1917 row 6 : herbert f. lemp \| died may 6, 1927 \| walter f. hansen \| may 6, 1927 \| james p. pope \| april 1929 row 7 : james p. pope \| resigned february 13, 1933 \| ross cady \| february 13, 1933 \| j. j. mccu \| april 1933 row 8 : byron e. hyat \| died november 11, 1936 \| j. l. edle \| november 11, 1936 \| j. l. edle \| april 1937 row 9 : h. w. whillock \| resigned may 11, 1942 \| austin walker \| may 11, 1942 \| austin walker \| april 1943 row 10 : austin walker sam s \| died october 31, 1945 re \| sam s. griffin \| october 31, 1945 february \| potter p. howard \| april 1947 row 11 : dirk kempthorne \| resigned january 5, 1993 \| h. brent coles \| january 5, 1993 \| h. brent coles \| november 1993 row 12 : h. brent coles \| resigned february 15, 2003 \| carolyn terteling-p \| february 18, 2003 \| david h. bieter \| november 2003 ] Execute this SQL based on the above table: select count ( * ) where reason for vacancy = 'never took office'	1
[ header: # \| date \| opponent \| score \| result \| competition row 1 : 1 \| 1988 \| indonesia \| 4-0 \| won \| 1988 afc u-17 championship group row 2 : 2 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 3 : 3 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 4 : 4 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 5 : 5 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 6 : 6 \| 1988 \| iraq \| 2-1 \| won \| 1988 afc u-17 championship semifinal row 7 : 7 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 8 : 8 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 9 : 9 \| june 12, 1989 \| guinea \| 2-2 \| draw \| 1989 fifa u-16 world championship group row 10 : 10 \| june 12, 1989 \| colombia \| 1-0 \| won \| 1989 fifa u-16 world championship group row 11 : 11 \| june 12, 1989 \| bahrain \| 1-0 \| won \| 1989 fifa u-16 world championship semifinal row 12 : 12 \| february 22, 1989 \| portugal \| 3-0 \| won \| 1989 fifa world youth championship group stages row 13 : 13 \| 1989 \| kuwait \| 1-0 \| won \| 1989 palestine cup of nations for youth group row 14 : 14 \| 1989 \| bahrain \| 1-1(4-3) \| lost \| 1989 palestine cup of nations for youth third ] Execute this SQL based on the above table: select count ( distinct score )	8
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : republican \| 13916 \| 5342 \| 19258 \| 25.61% row 2 : democratic \| 21493 \| 7115 \| 28608 \| 38.05% row 3 : unaffiliated \| 20118 \| 7062 \| 27180 \| 36.15% row 4 : minor parties \| 100 \| 40 \| 140 \| 0.19% row 5 : total \| 55627 \| 19559 \| 75186 \| 100% ] Execute this SQL based on the above table: select percentage where id = 1	25.61%
[ header: draw \| artist \| song \| jury \| televote \| total \| place row 1 : 1 \| kasia nova \| "the devil" \| 0 \| 1 \| 1 \| 11 row 2 : 2 \| edi ann \| "lovin'u" \| 7 \| 5 \| 12 \| 4 row 3 : 3 \| izabela kopec \| "you've got my love" \| 4 \| 6 \| 10 \| 6 row 4 : 4 \| starnawski & urban noiz \| "it's not a game" \| 5 \| 0 \| 5 \| 10 row 5 : 5 \| queens \| "i say my body" \| 0 \| 0 \| 0 \| 12 row 6 : 6 \| isis gee \| "for life" \| 12 \| 12 \| 24 \| 1 row 7 : 7 \| man meadow \| "viva la musica" \| 2 \| 10 \| 12 \| 3 row 8 : 8 \| afromental \| "thing we've got" \| 3 \| 4 \| 7 \| 9 row 9 : 9 \| plastic \| "do something" \| 10 \| 2 \| 12 \| 5 row 10 : 10 \| sandra oxenryd \| "superhero" \| 6 \| 3 \| 9 \| 8 row 11 : 11 \| natasza urbanska \| "blow over" \| 8 \| 7 \| 15 \| 2 row 12 : 12 \| margo \| "dlatego walcz" \| 1 \| 8 \| 9 \| 7 ] Execute this SQL based on the above table: select ( select total where song = '"the devil"' ) > ( select total where song = '"do something"' )	0
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select count ( name in english ) where area (km2) is null and area (km2) < 39	0
[ header: \| name \| title reign \| title recognition \| successful defenses row 1 : 1 \| joe calzaghe \| 10 years, 11 months, 15 days \| ibf, wba, \| 21 row 2 : 2 \| sven ottke \| 5 years, 5 months, 3 days \| ibf, wba ( \| 21 row 3 : 3 \| frankie liles \| 4 years, 10 months, 0 days \| wba \| 8 row 4 : 4 \| lucian bute \| 4 years, 7 months, 7 days \| ibf \| 9 row 5 : 5 \| chris eubank \| 4 years, 4 months, 0 days \| wbo \| 14 row 6 : 6 \| andre ward \| 4 years, 6 months, 3 weeks and 1 \| wba (super), wb \| 6 row 7 : 7 \| chong-pal park \| 3 years, 7 months, 17 days \| ibf, wba \| 10 row 8 : 8 \| nigel benn \| 3 years, 4 months, 28 days \| wbc \| 9 row 9 : 9 \| robert stieglitz \| 3 years, 0 months, 3 days \| wbo \| 6 row 10 : 10 \| mikkel kessler \| 2 years, 11 months, 23 days \| wba (super) \| 4 ] Execute this SQL based on the above table: select title recognition where title recognition in ( 'ibf, wba, wbo, wbc, the ring' , 'wbo' ) and title recognition = 'ibf, wba, wbo, wbc, the ring'	ibf, wba, wbo, wbc, the ring
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select count ( club )	21
[ header: year \| artist \| album \| chart position \| role row 1 : 1961 \| eddie harris \| "exodus" (single) \| #16 r&b, #36 us \| remastering engineer row 2 : 1968 \| eddie harris \| "it's crazy" (single \| #88 us \| remastering engineer row 3 : 1969 \| eddie harris & \| swiss movement \| #1 jazz, #2 r&b, # \| remixing & remastering engineer row 4 : 1969 \| r.b. greaves \| r.b. greaves \| #24 r&b, #85 us \| mixing engineer row 5 : 1971 \| eddie harris & \| second movement \| #1 jazz, # 41 us \| recording and remastering engineer row 6 : 1971 \| les mccann \| invitation to openness \| #8 jazz \| remastering engineer row 7 : 1971 \| donny hathaway \| donny hathaway \| #6 r&b, #89 us \| recording engineer row 8 : 1972 \| roberta flack & \| roberta flack & \| #3 us, #2 r&b, # \| recording engineer row 9 : 1972 \| cream \| live cream volume ii \| #27 us \| remixing engineer row 10 : 1972 \| herbie mann \| hold on, i'm coming \| #7 jazz \| mixing engineer row 11 : 1973 \| bette midler \| bette midler \| #6 us \| recording engineer row 12 : 1973 \| hall & oates \| abandoned luncheonette \| #33 us \| recording engineer row 13 : 1973 \| willie nelson \| shotgun willie \| #41 us \| recording engineer row 14 : 1973 \| les mccann \| layers \| #5 jazz \| remastering engineer row 15 : 1973 \| the modern jazz quartet \| blues on bach \| #34 jazz \| recording and mixing engineer row 16 : 1973 \| donny hathaway \| extension of a man \| #18 r&b, #69 us \| recording engineer row 17 : 1973 \| bee gees \| mr. natural \| #178 us \| recording engineer row 18 : 1974 \| the modern jazz quartet \| the complete last concert \| #34 jazz \| mixing engineer row 19 : 1976 \| the rolling stones \| black and blue \| #1 us \| recording engineer row 20 : 1976 \| willie nelson \| the troublemaker \| #1 country, #60 us \| recording engineer row 21 : 1979 \| bette midler \| thighs and whispers \| #65 us \| recording engineer row 22 : 1983 \| paul simon \| hearts and bones \| #35 us \| recording engineer row 23 : 1993 \| david "fathead" newman \| bigger & better \| #10 jazz, #42 r&b \| remastering engineer row 24 : 1998 \| various artists \| jazz for the open road \| #1 jazz \| mastering engineer row 25 : 1998 \| various artists \| jazz for the quiet times \| #1 jazz \| mastering engineer row 26 : 1999 \| various artists \| jazz for when you're alone \| #1 jazz \| mastering engineer row 27 : 1999 \| various artists \| jazz for a lazy day \| #4 jazz \| mastering engineer row 28 : 2000 \| various artists \| jazz for a rainy afternoon \| #1 jazz \| mastering engineer row 29 : 2000 \| jane monheit \| never never land \| #2 jazz \| mixing & mastering engineer row 30 : 2000 \| various artists \| jazz for when you're in love \| #9 jazz \| mastering engineer row 31 : 2001 \| jane monheit \| come dream with me \| #1 jazz \| mixing & mastering engineer row 32 : 2002 \| jane monheit \| in the sun \| #2 jazz \| recording, mixing & mastering engineer row 33 : 2003 \| various artists \| jazz for those peaceful moments \| #4 jazz \| mastering engineer row 34 : 2007 \| mocean worker \| cinco de mowo! \| #16 electronic \| mastering engineer ] Execute this SQL based on the above table: select year where year in ( 2000 , 313 ) order by year desc limit 1	2000
[ header: team \| stadium \| capacity \| seated row 1 : merthyr town \| penydarren park \| 10000 \| None row 2 : paulton rovers \| athletic field \| 5000 \| 253 row 3 : evesham united \| st george's lane \| 4749 \| None row 4 : winchester city \| the city ground \| 4500 \| 180 row 5 : clevedon town \| hand stadium \| 3500 \| 300 row 6 : cinderford town \| the causeway \| 3500 \| 250 row 7 : tiverton town \| ladysmead \| 3500 \| 520 row 8 : wimborne town \| cuthbury \| 3250 \| 275 row 9 : didcot town \| npower loop meadow stadium \| 3000 \| 150 row 10 : swindon supermarine \| the webb's wood stadium \| 3000 \| None row 11 : bridgwater town \| fairfax park \| 2500 \| 128 row 12 : hungerford town \| bulpit lane \| 2500 \| 170 row 13 : mangotsfield united \| cossham street \| 2500 \| 300 row 14 : taunton town \| wordsworth drive \| 2500 \| 300 row 15 : abingdon united \| northcourt road \| 2000 \| 158 row 16 : poole town \| tatnam \| 2000 \| 154 row 17 : north leigh \| eynsham hall park sports ground \| 2000 \| 100 row 18 : yate town \| lodge road \| 2000 \| 236 row 19 : bishop's cleeve \| kayte lane \| 1500 \| 50 row 20 : sholing \| vt group sports ground \| 1000 \| 150 row 21 : shortwood united \| the meadowbank ground \| tbc \| None row 22 : cirencester town \| corinium stadium \| tbc \| None ] Execute this SQL based on the above table: select stadium group by stadium order by count ( * ) desc limit 1	wordsworth drive
[ header: date \| venue \| opponent \| score \| result \| competition \| # row 1 : 15 nov 2006 \| lansdowne road, dublin \| san marino \| 2-0 \| 5-0 \| euro 2008 qualifying \| 1 row 2 : 28 mar 2007 \| croke park, dublin \| slovakia \| 1-0 \| 1-0 \| euro 2008 qualifying \| 2 row 3 : 23 may 2007 \| giants stadium, new york \| ecuador \| 1-1 \| 1-1 \| friendly \| 3 row 4 : 9 sep 2007 \| tehelne pole, bra \| slovakia \| 1-2 \| 2-2 \| euro 2008 qualifying \| 4 row 5 : 17 nov 2007 \| millennium stadium, cardiff \| wales \| 1-2 \| 2-2 \| euro 2008 qualifying \| 5 row 6 : 6 sep 2008 \| stadion am bruchweg, main \| georgia \| 0-1 \| 1-2 \| 2010 fifa world cup qualifying \| 6 row 7 : 5 sep 2009 \| neo gsp stadium, \| cyprus \| 0-1 \| 1-2 \| 2010 fifa world cup qualifying \| 7 row 8 : 25 may 2010 \| rds arena, dublin \| paraguay \| 1-0 \| 2-1 \| friendly \| 8 row 9 : 7 sep 2010 \| aviva stadium, dublin \| andorra \| 2-0 \| 3-1 \| euro 2012 qualifying \| 9 row 10 : 7 oct 2011 \| estadi comunal, andorr \| andorra \| 1-0 \| 2-0 \| euro 2012 qualifying \| 10 row 11 : 7 sep 2012 \| astana arena, astana \| kazakhstan \| 2-1 \| 2-1 \| 2014 fifa world cup qualifying \| 11 row 12 : 11 sep 2012 \| craven cottage, london \| oman \| 3-0 \| 4-1 \| friendly \| 12 ] Execute this SQL based on the above table: select count ( result ) where # > 12	0
[ header: rank \| mountain \| height (m) \| height (ft) \| range \| coordinates \| prominence (m) \| parent mountain \| first ascent \| ascents (failed attempts) bef.2004 row 1 : 5 \| makalu \| 8485 \| 27838 \| mahalangur himalaya \| 27°53′23′′n 87° \| 2386 \| mount everest \| 1955 \| 45 (52) row 2 : 20 \| ngadi chuli \| 7871 \| 25823 \| manaslu himalaya \| 28°30′12′′n 84° \| 1020 \| manaslu \| 1970 \| 2 (6) row 3 : 21 \| khunyang chhish \| 7823 \| 25666 \| hispar karakoram \| 36°12′19′′n 75°12 \| 1765 \| distaghil sar \| 1971 \| 2 (6) row 4 : 41 \| gongga shan/ miny \| 7556 \| 24790 \| daxue shan \| 29°35′43′′n 101°52 \| 3642 \| mount everest \| 1932 \| 6 (7) row 5 : 43 \| muztagh ata \| 7546 \| 24757 \| muztagata kunlun \| 38°16′33′′n 75°06 \| 2735 \| kongur tagh \| 1956 \| many row 6 : 53 \| pumari chhish \| 7492 \| 24580 \| hispar karakoram \| 36°12′41′′n 75°15 \| 890 \| khunyang chhish \| 1979 \| 1 (2) row 7 : 62 \| yangra/ ganesh \| 7422 \| 24350 \| ganesh himalaya \| 28°23′29′′n 85°07 \| 2352 \| manaslu \| 1955 \| 1 (6) row 8 : 69 \| ghent kangri \| 7401 \| 24281 \| saltoro karakoram \| 35°31′04′′n 76° \| 1493 \| saltoro kangri \| 1961 \| 4 (0) row 9 : 80 \| chamlang \| 7321 \| 24019 \| mahalangur himalaya \| 27°46′30′′n 86° \| 1240 \| lhotse \| 1961 \| 7 (1) row 10 : 87 \| baintha brakk/ the ogre \| 7285 \| 23901 \| panmah karakoram \| 35°56′51′′n 75°45 \| 1891 \| kanjut sar \| 1977 \| 3 (13) row 11 : 97 \| mukut parbat \| 7242 \| 23760 \| garhwal himalaya \| 30°56′57′′n 79° \| 840 \| kamet \| 1951 \| 2 (1) ] Execute this SQL based on the above table: select mountain order by height (m) desc limit 1	makalu
[ header: # \| temple name \| hangul \| hanja \| period of reign \| personal name \| relationship \| note row 1 : 2 \| daru \| 다루왕 \| 多婁王 \| 28-77 \| None \| first son of onjo \| None row 2 : 3 \| giru \| 기루왕 \| 己婁王 \| 77-128 \| None \| first son of daru \| None row 3 : 7 \| saban \| 사반왕 \| 沙泮王 \| 234 \| None \| first son of gusu \| also sai (사이왕, 沙伊王 row 4 : 9 \| chaekgye \| 책계왕 \| 責稽王 \| 286-298 \| None \| son of goi \| also cheonggye (청계왕, row 5 : 11 \| biryu \| 비류왕 \| 比流王 \| 304-344 \| None \| second son of gusu \| None row 6 : 15 \| chimnyu \| 침류왕 \| 枕流王 \| 384-385 \| None \| first son of geungusu \| None row 7 : 16 \| jinsa \| 진사왕 \| 辰斯王 \| 385-392 \| None \| younger brother of chimnyu \| also buyeohui (부여휘, 扶餘暉 row 8 : 17 \| asin \| 아신왕 \| 阿莘王 \| 392-405 \| None \| nephew of jinsa; first son \| also aha (아화왕, 阿華王) row 9 : 19 \| gu-isin \| 구이신왕 \| 久爾辛王 \| 420-427 \| None \| first son of jeonji \| None row 10 : 24 \| dongseong \| 동성왕 \| 東城王 \| 479-501 \| modae (모대, 牟大) or \| cousin of samgeum \| None row 11 : 27 \| wideok \| 위덕왕 \| 威德王 \| 554-598 \| chang (창, 昌) \| first son of seong \| also chang (창왕, 昌王) row 12 : 28 \| hye \| 혜왕 \| 惠王 \| 598-599 \| gye (계, 季) \| younger brother of wideok \| also heon (헌왕, 獻王) row 13 : 31 \| uija \| 의자왕 \| 義慈王 \| 641-660 \| None \| first son of mu \| None ] Execute this SQL based on the above table: select relationship where relationship in ( 'younger brother of chimnyu' , 'first son of mu' ) order by # desc limit 1	first son of mu
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select avg ( no )	11.954545454545455
[ header: name \| status \| population \| district \| former local authority row 1 : cronton \| civil parish \| 1379 \| knowsley \| whiston rural district row 2 : halewood \| town \| 20309 \| knowsley \| whiston rural district row 3 : huyton with roby \| unparished area \| 49859 \| knowsley \| huyton with roby urban district row 4 : kirkby \| unparished area \| 40374 \| knowsley \| kirkby urban district row 5 : knowsley \| civil parish \| 11343 \| knowsley \| whiston rural district row 6 : prescot \| town \| 11184 \| knowsley \| prescot urban district row 7 : tarbock \| civil parish \| 2382 \| knowsley \| whiston rural district row 8 : whiston \| town \| 13629 \| knowsley \| whiston rural district row 9 : liverpool \| unparished area \| 439473 \| liverpool \| liverpool county borough row 10 : aintree village \| civil parish \| 7126 \| sefton \| west lancashire rural district row 11 : crosby \| unparished area \| 45872 \| sefton \| crosby municipal borough row 12 : formby \| civil parish \| 23586 \| sefton \| formby urban district row 13 : hightown \| civil parish \| 2247 \| sefton \| crosby municipal borough row 14 : ince blundell \| civil parish \| 518 \| sefton \| west lancashire rural district row 15 : little altcar \| civil parish \| 892 \| sefton \| west lancashire rural district row 16 : lydiate \| civil parish \| 6672 \| sefton \| west lancashire rural district row 17 : maghull \| town \| 22225 \| sefton \| west lancashire rural district row 18 : melling \| civil parish \| 2810 \| sefton \| west lancashire rural district row 19 : sefton \| civil parish \| 772 \| sefton \| west lancashire rural district row 20 : southport \| unparished area \| 90336 \| sefton \| southport county borough row 21 : thornton \| civil parish \| 2262 \| sefton \| west lancashire rural district row 22 : billinge chapel end \| civil parish \| 6554 \| st helens \| billinge and winstanley urban district row 23 : eccleston \| civil parish \| 10528 \| st helens \| whiston rural district row 24 : haydock \| unparished area \| 15684 \| st helens \| haydock urban district row 25 : newton le willows \| unparished area \| 21418 \| st helens \| newton le willows urban district row 26 : rainford \| civil parish \| 8344 \| st helens \| rainford urban district row 27 : rainhill \| civil parish \| 11913 \| st helens \| whiston rural district row 28 : seneley green \| civil parish \| 6163 \| st helens \| ashton in makerfield urban district row 29 : st helens \| unparished area \| 91414 \| st helens \| st helens county row 30 : windle \| civil parish \| 2542 \| st helens \| whiston rural district row 31 : bebington \| unparished area \| 58226 \| wirral \| bebington municipal borough row 32 : birkenhead \| unparished area \| 103206 \| wirral \| birkenhead county borough row 33 : heswall \| unparished area \| 29977 \| wirral \| wirral urban district row 34 : hoylake \| unparished area \| 35655 \| wirral \| hoylake urban district row 35 : wallasey \| unparished area \| 84348 \| wirral \| wallasey county borough ] Execute this SQL based on the above table: select population where name = 'hightown'	2247.0
[ header: # \| title \| featured guest(s) \| producer(s) \| length row 1 : 1 \| "intro (skit)" \| None \| None \| 1:50 row 2 : 2 \| "zero" \| None \| lewis parker \| 4:01 row 3 : 3 \| "it's murda" \| None \| harry love \| 5:01 row 4 : 4 \| "jankrowville" \| None \| l. dolo \| 5:26 row 5 : 5 \| "parrowdice" \| kyza and skriblah \| harry love \| 5:52 row 6 : 6 \| "b 4 u die" \| kyza and skriblah \| joe buhdha \| 4:09 row 7 : 7 \| "all i got" \| None \| joe buhdha \| 4:00 row 8 : 8 \| "black rose" \| None \| joe buhdha \| 4:04 row 9 : 9 \| "lynching (skit)" \| None \| None \| 1:12 row 10 : 10 \| "our time" \| None \| lewis parker \| 3:56 row 11 : 11 \| "terra firma anthum (skit \| None \| None \| 0:52 row 12 : 12 \| "daggo mentality" \| None \| lewis parker \| 4:01 row 13 : 13 \| "neighbour (skit)" \| None \| None \| 0:46 row 14 : 14 \| "son of niah" \| None \| ac.war.ion \| 4:54 ] Execute this SQL based on the above table: select producer(s) where title = '"b 4 u die"'	joe buhdha
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : colusa \| 38.3% \| 2,314 \| 59.6% \| 3,601 \| 2.1% \| 130 \| 6,045 row 2 : contra costa \| 66.2% \| 290,824 \| 31.1% \| 136,517 \| 2.7% \| 11,804 \| 439,145 row 3 : del norte \| 43.4% \| 3,791 \| 52.8% \| 4,614 \| 3.8% \| 331 \| 8,736 row 4 : fresno \| 49.7% \| 129,129 \| 47.9% \| 124,490 \| 1.8% \| 6,078 \| 259,697 row 5 : imperial \| 65.2% \| 25,136 \| 33.2% \| 12,776 \| 1.6% \| 620 \| 38,532 row 6 : kern \| 40.5% \| 89,495 \| 57.3% \| 126,618 \| 2.2% \| 4,900 \| 221,013 row 7 : lassen \| 28.5% \| 3,053 \| 68.0% \| 7,296 \| 3.5% \| 376 \| 10,725 row 8 : madera \| 40.2% \| 16,018 \| 57.3% \| 22,852 \| 2.5% \| 996 \| 39,866 row 9 : merced \| 53.0% \| 33,005 \| 44.3% \| 27,581 \| 2.7% \| 1,636 \| 62,222 row 10 : modoc \| 27.7% \| 1,113 \| 69.1% \| 2,779 \| 3.2% \| 130 \| 4,022 row 11 : mono \| 52.9% \| 2,733 \| 44.2% \| 2,285 \| 2.9% \| 150 \| 5,168 row 12 : nevada \| 47.7% \| 24,663 \| 48.4% \| 24,986 \| 3.9% \| 2,026 \| 51,675 row 13 : placer \| 38.9% \| 66,818 \| 58.2% \| 99,921 \| 2.9% \| 4,972 \| 171,711 row 14 : plumas \| 39.9% \| 4,026 \| 56.8% \| 5,721 \| 3.3% \| 333 \| 10,080 row 15 : san bernardino \| 52.6% \| 305,109 \| 45.2% \| 262,358 \| 2.2% \| 13,136 \| 580,603 row 16 : san francisco \| 83.4% \| 301,723 \| 13.0% \| 47,076 \| 3.4% \| 12,996 \| 361,795 row 17 : san joaquin \| 55.6% \| 114,121 \| 41.9% \| 86,071 \| 2.5% \| 5,172 \| 205,364 row 18 : san luis obispo \| 48.6% \| 61,258 \| 47.6% \| 59,967 \| 3.8% \| 4,741 \| 125,966 row 19 : santa cruz \| 75.4% \| 90,805 \| 20.0% \| 24,047 \| 4.6% \| 5,533 \| 120,385 row 20 : sierra \| 36.3% \| 652 \| 58.7% \| 1,056 \| 5.0% \| 90 \| 1,798 row 21 : siskiyou \| 40.2% \| 8,044 \| 55.4% \| 11,076 \| 4.4% \| 870 \| 19,990 row 22 : solano \| 63.3% \| 96,783 \| 34.1% \| 52,092 \| 2.6% \| 3,965 \| 152,840 row 23 : stanislaus \| 49.9% \| 77,724 \| 47.1% \| 73,459 \| 3.0% \| 4,633 \| 155,816 row 24 : trinity \| 46.6% \| 2,674 \| 47.3% \| 2,716 \| 6.1% \| 349 \| 5,739 row 25 : tulare \| 41.2% \| 41,752 \| 56.2% \| 56,956 \| 2.6% \| 2,571 \| 101,279 row 26 : ventura \| 52.2% \| 170,929 \| 45.1% \| 147,958 \| 2.7% \| 8,825 \| 327,712 ] Execute this SQL based on the above table: select others where id > ( select id where others = '2.7%' ) limit 1	3.8%
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select ( select count ( opponent# ) where attendance = 17855 ) - ( select count ( opponent# ) where attendance = 36012 )	0
[ header: z \| element \| observed or predicted \| isolated (widely known) \| observer \| first isolator \| notes row 1 : 42 \| molybdenum \| 1778 \| 1781 \| w. scheele \| j. hjelm \| scheele recognised the metal as a constituent row 2 : 74 \| tungsten \| 1781 \| 1783 \| t. bergman \| j. and f. el \| bergman obtained from scheelite an row 3 : 58 \| cerium \| 1803 \| 1839 \| h. klaproth, j \| g. mosander \| berzelius and hisinger discovered the element row 4 : 3 \| lithium \| 1817 \| 1821 \| a. arfwedson \| w. t. brande \| arfwedson discovered the alkali row 5 : 35 \| bromine \| 1825 \| 1825 \| j. balard and l. \| j. balard and l. \| they both discovered the element in the autumn of 18 row 6 : 90 \| thorium \| 1829 \| None \| j. berzelius \| None \| berzelius obtained the oxide of a row 7 : 69 \| thulium \| 1879 \| 1879 \| t. cleve \| t. cleve \| cleve split marignac's er row 8 : 10 \| neon \| 1898 \| 1898 \| w. ramsay and w. \| w. ramsay and w. \| in june 1898 ramsay separated row 9 : 86 \| radon \| 1898 \| 1910 \| e. dorn \| w. ramsay and r. \| dorn discovered a radioactive gas row 10 : 89 \| actinium \| 1899 \| 1899 \| a.-l. debierne \| a.-l. debierne \| debierne obtained from pitchblende row 11 : 71 \| lutetium \| 1906 \| 1906 \| g. urbain and c.a. \| g. urbain and c.a. \| urbain and von welsbach proved independently that row 12 : 75 \| rhenium \| 1908 \| 1908 \| m. ogawa \| m. ogawa \| ogawa found it in thori ] Execute this SQL based on the above table: select z where first isolator = 'a.-l. debierne'	89
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select count ( order ) where quantity != 10	1
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select count ( * ) where col height (m) < 8.700	0
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select date order by id desc limit 1	2000
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| world junior championships \| lisbon, portugal \| 2nd \| 5,000 m row 2 : 1995 \| all-africa games \| harare, zimbabwe \| 2nd \| 5,000 m row 3 : 1995 \| all-africa games \| harare, zimbabwe \| 2nd \| 10,000 m row 4 : 1997 \| world championships \| athens, greece \| 7th \| 10,000 m row 5 : 1999 \| all-africa games \| johannesburg, south africa \| 3rd \| 10,000 m row 6 : 2001 \| world championships \| edmonton, canada \| 9th \| 10,000 m ] Execute this SQL based on the above table: select count ( competition ) where venue <= 1052	0
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select inhabited localities in jurisdiction where inhabited localities in jurisdiction != 'urban-type settlement of dzhebariki-khaya' and category = ( select category where inhabited localities in jurisdiction = 'urban-type settlement of dzhebariki-khaya' )	urban-type settlement of khandyga (administrative centre of the district)
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select date of death order by id asc limit 1	7-jan-20
[ header: name \| \| local names \| sort \| canton(s), neighboring countries \| area in km2 \| elevation m \| max. depth in meter row 1 : lake geneva \| None \| lac leman, lac de geneve \| geneva \| geneva, vaud, vala \| 580.03 \| 372 \| 310 row 2 : lake lucerne \| None \| vierwaldstattersee \| lucerne \| lucerne, nidwalden \| 113.72 \| 433.6 \| 214 row 3 : lake lugano \| None \| ceresio, lago di lug \| lugano \| ticino, italy \| 48.67 \| 270.5 \| 288 row 4 : lake thun \| None \| thunersee \| thun \| berne \| 47.74 \| 557.8 \| 215 row 5 : lake biel \| None \| lac de bienne, bielersee \| biel/bienne \| berne, neuchatel \| 39.51 \| 429.1 \| 74 row 6 : lake zug \| None \| zugersee \| zug \| lucerne, schwyz, \| 38.41 \| 413.6 \| 198 row 7 : lake murten \| None \| murtensee, lac de morat \| murten \| fribourg, vaud \| 22.8 \| 429.2 \| 46 row 8 : lake sempach \| None \| sempachersee \| sempach \| lucerne \| 14.36 \| 503.8 \| 87 row 9 : lago di livigno \| ↑ \| lago di livigno \| livignio \| italy, grisons \| 4.71 \| 1805 \| 119 row 10 : wagitalersee \| ↑ \| wagitalersee \| waegital \| schwyz \| 4.18 \| 900 \| 65 row 11 : lago di lei \| ↑ \| lago di lei \| lei \| italy, grisons \| 4.12 \| 1931 \| 133 row 12 : lake sils \| None \| silsersee, lej da se \| sils \| grisons \| 4.1 \| 1797 \| 71 row 13 : lac des dix \| ↑ \| lac des dix \| dix \| valais \| 3.65 \| 2365 \| 227 row 14 : lake wohlen \| ↑ \| wohlensee \| wohlen \| berne \| 3.65 \| 480 \| 20 row 15 : grimselsee \| ↑ \| grimselsee \| grimsel \| berne \| 2.63 \| 1908 \| 100 row 16 : lake lungern \| None \| lungerersee, lungernsee \| lungern \| obwalden \| 2.01 \| 688 \| 68 row 17 : lac de mauvoisin \| ↑ \| lac de mauvoisin \| mauvoisin \| valais \| 2.08 \| 1961 \| 180 row 18 : lago di vogorno \| ↑ \| lago di vogorno \| vogorno \| ticino \| 1.68 \| 470 \| 204 row 19 : zervreilasee \| ↑ \| zervreilasee \| zervreila \| grisons \| 1.61 \| 1862 \| 140 row 20 : oberaarsee \| ↑ \| oberaarsee \| oberaar \| berne \| 1.47 \| 2303 \| 90 row 21 : lac de moiry \| ↑ \| lac de moiry \| moiry \| valais \| 1.4 \| 2249 \| 120 row 22 : albigna lake \| ↑ \| lago da l'albigna \| albigna \| grisons \| 1.13 \| 2163 \| 108 ] Execute this SQL based on the above table: select sort order by area in km2 desc limit 1	geneva
[ 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 driver order by no desc limit 1	christijan albers
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select count ( date ) where archive of presentations = 'presentations, video' and place < ( select min ( place ) where archive of presentations = 'presentations, videos' )	1
[ 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 name where caps = 4	alan smith, paul merson
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select team where year > 2011	pepsi max crew
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| sebastien bourdais \| newman/haas racing \| 66 \| 1:51:31.146 \| 2 \| 34 row 2 : 2 \| 9 \| justin wilson \| rusport \| 66 \| +3.528 secs \| 1 \| 29 row 3 : 3 \| 5 \| will power \| team australia \| 66 \| +46.536 secs \| 4 \| 26 row 4 : 4 \| 2 \| bruno junqueira \| newman/haas racing \| 66 \| +1:04.023 \| 3 \| 23 row 5 : 5 \| 15 \| alex tagliani \| team australia \| 66 \| +1:18.033 \| 8 \| 22 row 6 : 6 \| 6 \| oriol servia \| pkv racing \| 66 \| +1:28.745 \| 7 \| 19 row 7 : 7 \| 4 \| nelson philippe \| cte racing - hv \| 66 \| +1:29.997 \| 10 \| 17 row 8 : 8 \| 27 \| andrew ranger \| mi-jack conquest racing \| 65 \| + 1 lap \| 16 \| 16 row 9 : 9 \| 3 \| david martinez \| forsythe racing \| 65 \| + 1 lap \| 9 \| 13 row 10 : 10 \| 7 \| buddy rice \| forsythe racing \| 65 \| + 1 lap \| 14 \| 11 row 11 : 11 \| 34 \| charles zwolsman \| mi-jack conquest racing \| 65 \| + 1 lap \| 12 \| 10 row 12 : 12 \| 18 \| antonio pizzonia \| rocketsports racing \| 65 \| + 1 lap \| 15 \| 9 row 13 : 13 \| 11 \| jan heylen \| dale coyne racing \| 65 \| + 1 lap \| 17 \| 8 row 14 : 14 \| 10 \| ryan briscoe \| rusport \| 64 \| + 2 laps \| 5 \| 7 row 15 : 15 \| 19 \| andreas wirth \| dale coyne racing \| 64 \| + 2 laps \| 18 \| 6 row 16 : 16 \| 20 \| katherine legge \| pkv racing \| 63 \| + 3 laps \| 13 \| 5 row 17 : 17 \| 8 \| mario dominguez \| rocketsports racing \| 59 \| retired \| 11 \| 4 row 18 : 18 \| 14 \| dan clarke \| cte racing - hv \| 7 \| differential \| 6 \| 3 ] Execute this SQL based on the above table: select team where team = 'newman/haas racing' order by team limit 1	newman/haas racing
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where date not null order by id desc limit 1	january 1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select loss where # > 88 order by # asc limit 1	jackson (5-5)
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select count ( club ) where established > 1962	7
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where club = 'darlington (loan)' order by league cup apps asc limit 1	darlington (loan)
[ header: year \| artist \| album \| chart position \| role row 1 : 1961 \| eddie harris \| "exodus" (single) \| #16 r&b, #36 us \| remastering engineer row 2 : 1968 \| eddie harris \| "it's crazy" (single \| #88 us \| remastering engineer row 3 : 1969 \| eddie harris & \| swiss movement \| #1 jazz, #2 r&b, # \| remixing & remastering engineer row 4 : 1969 \| r.b. greaves \| r.b. greaves \| #24 r&b, #85 us \| mixing engineer row 5 : 1971 \| eddie harris & \| second movement \| #1 jazz, # 41 us \| recording and remastering engineer row 6 : 1971 \| les mccann \| invitation to openness \| #8 jazz \| remastering engineer row 7 : 1971 \| donny hathaway \| donny hathaway \| #6 r&b, #89 us \| recording engineer row 8 : 1972 \| roberta flack & \| roberta flack & \| #3 us, #2 r&b, # \| recording engineer row 9 : 1972 \| cream \| live cream volume ii \| #27 us \| remixing engineer row 10 : 1972 \| herbie mann \| hold on, i'm coming \| #7 jazz \| mixing engineer row 11 : 1973 \| bette midler \| bette midler \| #6 us \| recording engineer row 12 : 1973 \| hall & oates \| abandoned luncheonette \| #33 us \| recording engineer row 13 : 1973 \| willie nelson \| shotgun willie \| #41 us \| recording engineer row 14 : 1973 \| les mccann \| layers \| #5 jazz \| remastering engineer row 15 : 1973 \| the modern jazz quartet \| blues on bach \| #34 jazz \| recording and mixing engineer row 16 : 1973 \| donny hathaway \| extension of a man \| #18 r&b, #69 us \| recording engineer row 17 : 1973 \| bee gees \| mr. natural \| #178 us \| recording engineer row 18 : 1974 \| the modern jazz quartet \| the complete last concert \| #34 jazz \| mixing engineer row 19 : 1976 \| the rolling stones \| black and blue \| #1 us \| recording engineer row 20 : 1976 \| willie nelson \| the troublemaker \| #1 country, #60 us \| recording engineer row 21 : 1979 \| bette midler \| thighs and whispers \| #65 us \| recording engineer row 22 : 1983 \| paul simon \| hearts and bones \| #35 us \| recording engineer row 23 : 1993 \| david "fathead" newman \| bigger & better \| #10 jazz, #42 r&b \| remastering engineer row 24 : 1998 \| various artists \| jazz for the open road \| #1 jazz \| mastering engineer row 25 : 1998 \| various artists \| jazz for the quiet times \| #1 jazz \| mastering engineer row 26 : 1999 \| various artists \| jazz for when you're alone \| #1 jazz \| mastering engineer row 27 : 1999 \| various artists \| jazz for a lazy day \| #4 jazz \| mastering engineer row 28 : 2000 \| various artists \| jazz for a rainy afternoon \| #1 jazz \| mastering engineer row 29 : 2000 \| jane monheit \| never never land \| #2 jazz \| mixing & mastering engineer row 30 : 2000 \| various artists \| jazz for when you're in love \| #9 jazz \| mastering engineer row 31 : 2001 \| jane monheit \| come dream with me \| #1 jazz \| mixing & mastering engineer row 32 : 2002 \| jane monheit \| in the sun \| #2 jazz \| recording, mixing & mastering engineer row 33 : 2003 \| various artists \| jazz for those peaceful moments \| #4 jazz \| mastering engineer row 34 : 2007 \| mocean worker \| cinco de mowo! \| #16 electronic \| mastering engineer ] Execute this SQL based on the above table: select album where artist = 'eddie harris & les mccann'	swiss movement, second movement
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select count ( cup ) where score > 766	0
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select champion where id = ( select id where runner-up = 'keshminder singh' and champion = 's raj' ) + 1	robert calupit
[ header: title \| release \| 6th gen \| handheld \| note row 1 : buggy grand prix: kattobi! \| 2003 \| playstation 2 \| None \| None row 2 : gunbird special edition / gunbird 1& \| 2004 \| playstation 2 \| None \| None row 3 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| released and published in europe by play it as row 4 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 5 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 6 : taisen hot gimmick \| 2004 \| playstation 2 \| None \| None row 7 : sengoku cannon \| 2005 \| None \| psp \| None row 8 : taisen hot gimmick \| 2005 \| playstation 2 \| None \| None ] Execute this SQL based on the above table: select 6th gen where release = ( select release where 6th gen = 'playstation 2' ) + 1	playstation 2, playstation 2, playstation 2, playstation 2, playstation 2
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select region order by last elected - party desc limit 1	arica and parinacota tarapaca
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select nation where bronze < ( select bronze where nation = 'chile' ) order by bronze desc limit 1	brazil
[ header: pick \| player \| country of origin \| pba team \| college row 1 : 1 \| danilo ildefons \| philippines \| formula shell zoom masters \| national row 2 : 2 \| noy castillo \| united states \| san miguel beermen \| the citadel row 3 : 3 \| ali peek \| united states \| pop cola 800s \| saint mary row 4 : 4 \| brixter encarnacion \| philippines \| pop cola 800s \| san sebastian row 5 : 5 \| william antonio \| united states \| san miguel beermen \| chaminade university row 6 : 6 \| banjo calpito \| philippines \| sta. lucia realtors \| san sebastian row 7 : 7 \| henry fernandez \| philippines \| purefoods carne norte beefies \| visayas row 8 : 8 \| steven smith \| united states \| gordon's gin boar \| united states international university ] Execute this SQL based on the above table: select sum ( pick )	36.0
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select opponents order by no. limit 1	cory ann avants kristen schlukebir
[ header: name \| rank - 2000 \| number \| country of origin \| england - 2001 row 1 : smith \| 1 \| 2376207 \| england, scotland \| smith row 2 : johnson \| 2 \| 1857160 \| england \| jones row 3 : williams \| 3 \| 1534042 \| england, wales \| taylor row 4 : brown \| 4 \| 1380145 \| england, ireland, \| brown row 5 : jones \| 5 \| 1362755 \| england, wales \| williams row 6 : miller \| 6 \| 1127803 \| england, ireland, \| wilson row 7 : davis \| 7 \| 1072335 \| england, wales \| johnson row 8 : garcia \| 8 \| 858289 \| spain \| davies row 9 : rodriguez \| 9 \| 804240 \| spain \| robinson row 10 : wilson \| 10 \| 783051 \| england, scotland \| wright ] Execute this SQL based on the above table: select country of origin where england - 2001 < ( select england - 2001 where country of origin = 'england, scotland' and name = 'wilson' ) order by england - 2001 desc limit 1	england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany)
[ header: city served / location \| province \| icao \| iata \| airport name \| usage row 1 : perouges / meximieux \| \| lfhc \| None \| perouges - meximieux aero \| public row 2 : vichy / charmeil \| \| lflv \| vhy \| vichy - charmeil airport \| public row 3 : bar-sur-seine \| \| lffr \| None \| bar-sur-seine aerodrome \| restricted row 4 : 12: aveyron \| \| None \| None \| None \| None row 5 : conde-sur-noireau \| \| lfan \| None \| conde-sur-noireau aerod \| None row 6 : deauville / saint-gatien \| \| lfrg \| dol \| deauville - saint-gatien \| public row 7 : rochefort / saint-a \| \| lfdn \| rco \| rochefort - saint-a \| public/mil row 8 : rochefort / soubis \| \| lfxr \| None \| rochefort - soubis \| None row 9 : figari sud-corse \| \| lfkf \| fsc \| figari sud-corse airport ( \| public row 10 : saint-brieuc / armor \| \| lfrt \| sbk \| saint-brieuc - armor airport \| public row 11 : besancon / thise \| \| lfsa \| None \| besancon - thise airport \| public row 12 : 27: eure \| \| None \| None \| None \| None row 13 : landivisiau \| \| lfrj \| ldv \| landivisiau air base \| military row 14 : nimes / garons \| \| lftw \| fni \| nimes-ales-camargue \| public row 15 : 31: haute-garonne \| \| None \| None \| None \| None row 16 : revel / montgey \| \| lfir \| None \| revel - montgey aerodrome \| restricted row 17 : grenoble / saint-geoir \| \| lfls \| gnb \| grenoble-isere airport \| public row 18 : 44: loire-atlantique \| \| None \| None \| None \| None row 19 : saumur / saint-florent \| \| lfod \| xsu \| saumur - saint-hilaire \| public row 20 : avranches / le val \| \| lfrw \| None \| avranches - le val \| restricted row 21 : nancy / malzeville \| \| lfez \| None \| nancy - malzeville aerod \| restricted row 22 : pont-saint-vincent \| \| lfsv \| None \| pont-saint-vincent aero \| restricted row 23 : lorient / lann / \| \| lfrh \| lrt \| lorient south brittany airport ( \| government row 24 : strasbourg / entzheim \| \| lfst \| sxb \| strasbourg airport (ba 124) \| public/mil row 25 : colmar / houssen \| \| lfga \| cmr \| colmar - houssen airport \| public row 26 : meribel \| \| lfkx \| mfx \| meribel aerodrome \| restricted ] Execute this SQL based on the above table: select city served / location order by province limit 1	perouges / meximieux
[ header: year \| title \| lead vocalist \| aria chart position \| album row 1 : 1985 \| "time out (for serious fun)" \| sandi chick \| None \| None row 2 : 1985 \| "sweat it out" \| peter blakeley \| None \| None row 3 : 1987 \| "rhymes" \| john kenny \| None \| tales of the city row 4 : 1987 \| "new groove" \| john kenny \| None \| tales of the city row 5 : 1988 \| "what's it gonna be" \| john kenny \| None \| tales of the city row 6 : 1988 \| "jump" \| wendy matthews \| None \| tales of the city row 7 : 1988 \| "dreams in the empty city" \| john kenny \| None \| tales of the city row 8 : 1988 \| "boogietron" \| ensemble \| None \| tales of the city row 9 : 1991 \| "ain't no sunshine" \| deni hines \| 5 \| form 1 planet row 10 : 1992 \| "that word (l.o.v. \| deni hines \| 4 \| form 1 planet row 11 : 1992 \| "it's not over" \| deni hines \| 15 \| form 1 planet row 12 : 1992 \| "stronger together" \| doug williams \| None \| form 1 planet row 13 : 1992 \| "love's gonna bring you home \| doug williams \| None \| form 1 planet row 14 : 1993 \| "form one planet" \| eric sebastian \| None \| form 1 planet row 15 : 2002 \| "all i want is you" \| jeremy gregory \| 41 \| rockies 3 row 16 : 2002 \| "i ain't playin' \| roxane lebrasse \| 79 \| rockies 3 row 17 : 2002 \| "police woman 2002" (with groove quant \| None \| None \| None ] Execute this SQL based on the above table: select year where album = 'tales of the city' and album + lead vocalist = 0	1987, 1987, 1988, 1988, 1988, 1988
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini = termini where termini = 'balboa park station' and termini = 'embarcadero station'	0, 0
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( animal type ) where name = 'woof'	1
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : republican \| 13916 \| 5342 \| 19258 \| 25.61% row 2 : democratic \| 21493 \| 7115 \| 28608 \| 38.05% row 3 : unaffiliated \| 20118 \| 7062 \| 27180 \| 36.15% row 4 : minor parties \| 100 \| 40 \| 140 \| 0.19% row 5 : total \| 55627 \| 19559 \| 75186 \| 100% ] Execute this SQL based on the above table: select total voters order by active voters desc limit 1	75186.0
[ header: service \| service id \| bit rate \| audio channels \| description \| analogue availability row 1 : capital yorkshire \| c3aa \| 128 kbit/s \| joint stereo \| dance and r'n'b \| 105.1 mhz (south row 2 : choice fm \| c0ce \| 128 kbit/s \| joint stereo \| r'n'b and hip-hop \| None row 3 : heart london \| cccd \| 128 kbit/s \| joint stereo \| adult contemporary \| None row 4 : gold \| c2ce \| 64 kbit/s \| mono lsf \| oldies, 60s, 70s, 80 \| None row 5 : real radio (yorkshire) \| c3a4 \| 128 kbit/s \| joint stereo \| contemporary \| 106.2 mhz (south row 6 : real radio xs \| c8c5 \| 128 kbit/s \| joint stereo \| classic rock \| None row 7 : ucb gospel \| ced0 \| 64 kbit/s \| mono lsf \| christian \| None row 8 : ucb inspirational \| cfd0 \| 64 kbit/s \| mono lsf \| christian \| None row 9 : xfm \| c0b8 \| 128 kbit/s \| joint stereo \| indie / alternative / rock music \| None row 10 : yorkshire radio \| cfcd \| 128 kbit/s \| joint stereo \| pop music and sport \| None row 11 : dab guide \| e1c000a9 \| 8 kbit/s \| data \| hidden service, epg data \| None ] Execute this SQL based on the above table: select service id where service id != 'cccd' and bit rate = ( select bit rate where service id = 'cccd' )	c3aa, c0ce, c3a4, c8c5, c0b8, cfcd
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select percentage of votes where percentage of votes in ( '12.2%' , '32.6%' ) order by singing position desc limit 1	32.6%
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select sum ( year )	16033
[ header: rank \| urban area \| population (2001 census) \| area (km2) \| density (people/km2) \| major subdivisions \| metropolitan area row 1 : 1 \| greater glasgow \| 1,168,270 \| 368.47 \| 3,171.0 \| glasgow, paisley, coat \| glasgow row 2 : 2 \| edinburgh \| 452,194 \| 120.11 \| 3,765.0 \| edinburgh, musselburg \| edinburgh row 3 : 3 \| aberdeen \| 197,328 \| 60.94 \| 3,238 \| aberdeen, cove bay, d \| aberdeen row 4 : 4 \| dundee \| 154,674 \| 67 \| 3,298 \| dundee \| dundee row 5 : 5 \| falkirk \| 91,402 \| 36.1 \| 2,532 \| falkirk, grangemouth, car \| falkirk row 6 : 6 \| east kilbride \| 73,796 \| 24.12 \| 3,060 \| east kilbride \| glasgow row 7 : 7 \| greenock \| 73,595 \| 20.69 \| 3,557 \| greenock, gourock, port glas \| glasgow row 8 : 8 \| blantyre/hamilton \| 65,874 \| 22.63 \| 2,911 \| blantyre, hamilton \| glasgow row 9 : 9 \| ayr/prestwick \| 61,365 \| 23.57 \| 2,604 \| ayr, prestwick \| ayr row 10 : 10 \| livingston \| 59,511 \| 26.07 \| 2,283 \| livingston, east calder, mid calder \| edinburgh ] Execute this SQL based on the above table: select area (km2) where area (km2) in ( '24.12' , '23.57' ) order by density (people/km2) desc limit 1	24.12
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( other ) where year < ( select year where other = 'two-player card: balloon cup' )	10
[ header: parish \| locality \| parish priest \| founded \| closed row 1 : st mary \| bacup \| fr frank thorpe \| 1852 \| None row 2 : our immaculate mother & st \| whitworth \| fr frank thorpe \| 1860 \| None row 3 : st joseph \| stacksteads \| None \| 1947 \| 2005 row 4 : st joseph & \| newchurch-in-rossendale \| fr philip boast \| 1915 \| None row 5 : the immaculate conception \| haslingden \| fr canon john mackie \| 1854 \| None row 6 : st veronica (chapel of \| helmshore \| served from the immaculate conception \| 1959 \| None row 7 : st james the less \| rawtenstall \| fr david lupton, rural de \| 1828 \| None ] Execute this SQL based on the above table: select founded where locality = 'rawtenstall'	1828
[ header: round \| # \| player \| position \| nationality \| college/junior/club team (league) row 1 : 1 \| 7 \| kyle okposo \| right wing \| united states \| des moines buccaneers (ushl row 2 : 2 \| 60 \| jesse joensuu \| wing \| finland \| assat (sm-liiga row 3 : 3 \| 70 \| robin figren \| wing \| sweden \| frolunda hc (e row 4 : 4 \| 100 \| rhett rakhshan \| right wing \| united states \| university of denver(ncaa) row 5 : 4 \| 108 \| jase weslosky \| goalie \| canada \| sherwood park crusaders ( row 6 : 4 \| 115 \| tomas marcinko \| center \| slovakia \| hc kosice (slovak row 7 : 4 \| 119 \| doug rogers \| center \| united states \| saint sebastian's school (independent row 8 : 5 \| 141 \| kim johansson \| wing \| sweden \| malmo jr row 9 : 6 \| 160 \| andrew macdonald \| defenceman \| canada \| moncton wildcats (qm row 10 : 6 \| 171 \| brian day \| right wing \| united states \| governor dummer (independent school league) row 11 : 6 \| 173 \| stefan ridderwall \| goalie \| sweden \| djurgarden jr. ( row 12 : 7 \| 190 \| troy mattila \| left wing \| united states \| springfield jr. blues (nah ] Execute this SQL based on the above table: select count ( * ) where player = 'brian day'	1
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select count ( * ) where athlete <= 1179	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| nigel mansell \| williams-renault \| 65 \| 1:56:10.674 \| 1 \| 10 row 2 : 2 \| 19 \| michael schumacher \| benetton-ford \| 65 \| + 23.914 \| 2 \| 6 row 3 : 3 \| 27 \| jean alesi \| ferrari \| 65 \| + 26.462 \| 8 \| 4 row 4 : 4 \| 2 \| gerhard berger \| mclaren-honda \| 65 \| + 1:20.647 \| 7 \| 3 row 5 : 5 \| 9 \| michele alboreto \| footwork-mugen-honda \| 64 \| + 1 lap \| 16 \| 2 row 6 : 6 \| 22 \| pierluigi martini \| dallara-ferrari \| 63 \| + 2 laps \| 13 \| 1 row 7 : 7 \| 10 \| aguri suzuki \| footwork-mugen-honda \| 63 \| + 2 laps \| 19 \| None row 8 : 8 \| 16 \| karl wendlinger \| march-ilmor \| 63 \| + 2 laps \| 9 \| None row 9 : 9 \| 1 \| ayrton senna \| mclaren-honda \| 62 \| spun off \| 3 \| None row 10 : 10 \| 28 \| ivan capelli \| ferrari \| 62 \| spun off \| 5 \| None row 11 : 11 \| 23 \| christian fittipaldi \| minardi-lamborghini \| 61 \| + 4 laps \| 22 \| None row 12 : 12 \| 17 \| paul belmondo \| march-ilmor \| 61 \| + 4 laps \| 23 \| None row 13 : ret \| 21 \| jj lehto \| dallara-ferrari \| 56 \| spun off \| 12 \| None row 14 : ret \| 15 \| gabriele tarquini \| fondmetal-ford \| 56 \| spun off \| 18 \| None row 15 : ret \| 11 \| mika hakkinen \| lotus-ford \| 56 \| spun off \| 21 \| None row 16 : ret \| 26 \| erik comas \| ligier-renault \| 55 \| spun off \| 10 \| None row 17 : ret \| 29 \| bertrand gachot \| larrousse-lamborghini \| 35 \| engine \| 24 \| None row 18 : ret \| 3 \| olivier grouillard \| tyrrell-ilmor \| 30 \| spun off \| 15 \| None row 19 : ret \| 24 \| gianni morbidelli \| minardi-lamborghini \| 26 \| handling \| 25 \| None row 20 : ret \| 33 \| mauricio gugelmin \| jordan-yamaha \| 24 \| spun off \| 17 \| None row 21 : ret \| 14 \| andrea chiesa \| fondmetal-ford \| 22 \| spun off \| 20 \| None row 22 : ret \| 6 \| riccardo patrese \| williams-renault \| 19 \| spun off \| 4 \| None row 23 : ret \| 12 \| johnny herbert \| lotus-ford \| 13 \| spun off \| 26 \| None row 24 : ret \| 25 \| thierry boutsen \| ligier-renault \| 11 \| engine \| 14 \| None row 25 : ret \| 20 \| martin brundle \| benetton-ford \| 4 \| spun off \| 6 \| None row 26 : ret \| 4 \| andrea de cesaris \| tyrrell-ilmor \| 2 \| engine \| 11 \| None row 27 : dnq \| 30 \| ukyo katayama \| larrousse-lamborghini \| None \| None \| None \| None row 28 : dnq \| 32 \| stefano modena \| jordan-yamaha \| None \| None \| None \| None row 29 : dnpq \| 34 \| roberto moreno \| moda-judd \| None \| None \| None \| None ] Execute this SQL based on the above table: select pos group by pos having count ( driver ) >= 4	ret
[ header: pos. \| artist \| single \| year \| sales \| peak row 1 : 1 \| daniel lavoie, pat \| "belle" \| 1998 \| 2,221,000 \| 1 row 2 : 4 \| wes \| "alane" \| 1997 \| 1,418,000 \| 1 row 3 : 10 \| celine dion \| "the reason" / "my heart will \| 1998 \| 1,197,000 \| 1 row 4 : 16 \| celine dion \| "pour que tu m'aime \| 1995 \| 955,000 \| 1 row 5 : 19 \| andrea bocelli & helene \| "vivo per lei (je vis pour \| 1998 \| 874,000 \| 1 row 6 : 20 \| zebda \| "tomber la chemise" \| 1999 \| 868,000 \| 1 row 7 : 22 \| khaled \| "aicha" \| 1996 \| 824,000 \| 1 row 8 : 24 \| david hallyday \| "tu ne m'a \| 1999 \| 801,000 \| 1 row 9 : 25 \| will smith \| "men in black" \| 1997 \| 783,000 \| 1 row 10 : 32 \| brandy & monica \| "the boy is mine" \| 1998 \| 662,000 \| 2 row 11 : 35 \| tina arena \| "aller plus haut" \| 1999 \| 617,000 \| 2 row 12 : 39 \| eiffel 65 \| "move your body" \| 1999 \| 589,000 \| 1 row 13 : 40 \| britney spears \| "... baby one more time" \| 1999 \| 578,000 \| 1 row 14 : 54 \| hanson \| "mmmbop" \| 1997 \| 490,000 \| 4 row 15 : 59 \| regg'lyss \| "mets de l'huile" \| 1993 \| 476,000 \| 1 row 16 : 60 \| janet jackson \| "together again" \| 1998 \| 475,000 \| 2 row 17 : 61 \| modern talking \| "you're my heart, you're \| 1998 \| 475,000 \| 3 row 18 : 64 \| lara fabian \| "je t'aime" \| 1997 \| 471,000 \| 6 row 19 : 65 \| madonna \| "frozen" \| 1998 \| 469,000 \| 2 row 20 : 66 \| francois feldman \| "joy" \| 1991 \| 468,000 \| 1 row 21 : 67 \| patrick bruel \| "qui a le droit... (live) \| 1991 \| 466,000 \| 1 row 22 : 68 \| youssou n'dour \| "7 seconds" \| 1994 \| 465,000 \| 1 row 23 : 73 \| freddie mercury \| "living on my own 1993" \| 1993 \| 426,000 \| 1 row 24 : 81 \| g.o. culture \| "darla_dirladada" \| 1993 \| 397,000 \| 1 row 25 : 82 \| spice girls \| "spice up your life" \| 1997 \| 397,000 \| 3 row 26 : 85 \| jean-philippe audin & \| "song of ocarina" \| 1991 \| 379,000 \| 1 row 27 : 86 \| boris \| "soiree disco" \| 1996 \| 376,000 \| 1 row 28 : 89 \| celine dion \| "un garcon pas comme les autres (zi \| 1993 \| 365,000 \| 2 row 29 : 90 \| liane foly \| "la vie ne m'apprend \| 1999 \| 364,000 \| 3 row 30 : 91 \| fool's garden \| "lemon tree" \| 1996 \| 362,000 \| 3 ] Execute this SQL based on the above table: select count ( * ) where peak = 1	19
[ header: name \| date built \| builder \| works no. \| wheels \| cylinders \| notes \| withdrawn row 1 : veteran \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 2 : fairfield \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 3 : waverley \| None \| henry hughes of lough \| None \| 0-4-0st \| outside \| None \| 1889 row 4 : bee \| None \| None \| None \| 0-6-0t \| None \| None \| None row 5 : spider \| None \| None \| None \| 0-6-0t \| None \| None \| None row 6 : gillingham \| None \| aveling and porter \| None \| 0-6-0tg \| None \| arr. 1893 \| 1893 row 7 : no.1 \| 1880 \| hunslet \| 231 \| 0-6-0st \| inside \| arr. 1893 \| 1923 row 8 : no.2 \| 1898 \| peckett \| 696 \| 0-4-0st \| outside \| arr. 1904 \| 1923 ] Execute this SQL based on the above table: select count ( distinct name ) where builder = 1763	0
[ header: year \| location \| gold \| silver \| bronze row 1 : 1958 \| tokyo \| sachika kamo \| desideria ampon \| liu shang-ku row 2 : 1962 \| jakarta \| akiko fukui \| reiko miyagi \| desideria ampon patricia y row 3 : 1966 \| bangkok \| lany kaligis \| kazuko kuromatsu \| lita liem sugiarto row 4 : 1974 \| tehran \| lita liem sugiarto \| paulina pesahov \| lany kaligis row 5 : 1978 \| bangkok \| lee duk-hee \| chen chuan \| kiyoko nomura sonoe row 6 : 1982 \| new delhi \| etsuko inoue \| kim soo-ok \| yu liqiao row 7 : 1986 \| seoul \| li xinyi \| lee jeong-soon \| kim soo-ok row 8 : 1990 \| beijing \| akiko kijimuta \| chen li \| park mal-sim kim il- row 9 : 1994 \| hiroshima \| kimiko date \| naoko sawamatsu \| yayuk basuki chen row 10 : 1998 \| bangkok \| yayuk basuki \| tamarine tanasugar \| li fang yi j row 11 : 2002 \| busan \| iroda tulyaganova \| tamarine tanasugar \| shinobu asagoe row 12 : 2006 \| doha \| zheng jie \| sania mirza \| li na aiko row 13 : 2010 \| guangzhou \| peng shuai \| akgul amanmuradova \| kimiko date-krumm s ] Execute this SQL based on the above table: select count ( bronze ) where silver = 'paulina pesahov'	1
[ 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 open cup order by id desc limit 1	3rd round
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select league where league != '4th (2001-02)' and teams = ( select teams where league = '4th (2001-02)' )	6th (2003-04)
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select count ( * ) where network = 'nhk'	2
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select opponent order by goal desc limit 1	turkey
[ 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 team where team in ( 'victoria libertas pesaro' , 'reyer venezia' ) order by seasons desc limit 1	reyer venezia
[ header: season \| league \| gold \| silver \| bronze \| winning manager row 1 : 1947-48 \| league of norway \| freidig \| sparta \| None \| None row 2 : 1948-49 \| main league \| fredrikstad \| valerenga \| None \| None row 3 : 1950-51 \| main league \| fredrikstad \| odd \| None \| None row 4 : 1952-53 \| main league \| larvik turn \| skeid \| None \| None row 5 : 1954-55 \| main league \| larvik turn \| fredrikstad \| None \| None row 6 : 1958-59 \| main league \| lillestrøm \| fredrikstad \| None \| karl gudmundson row 7 : 1959-60 \| main league \| fredrikstad \| lillestrøm \| eik-tønsberg \| None row 8 : 1965 \| first division \| valerenga \| lyn \| sarpsborg \| anton ploderer row 9 : 1966 \| first division \| skeid \| fredrikstad \| lyn \| None row 10 : 1969 \| first division \| rosenborg \| fredrikstad \| strømsgodset \| george curtis row 11 : 1971 \| first division \| rosenborg \| lyn \| viking \| nils arne eggen row 12 : 1972 \| first division \| viking \| fredrikstad \| strømsgodset \| kjell schou-andrea row 13 : 1974 \| first division \| viking \| molde \| valerenga \| stuart williams row 14 : 1975 \| first division \| viking \| brann \| start \| olav nilsen row 15 : 1976 \| first division \| lillestrøm \| mjøndalen \| brann \| joar hoff row 16 : 1977 \| first division \| lillestrøm \| bodø/glimt \| molde \| joe hooley row 17 : 1979 \| first division \| viking \| moss \| start \| tony knapp row 18 : 1983 \| first division \| valerenga \| lillestrøm \| start \| gunder bengtsson row 19 : 1984 \| first division \| valerenga \| viking \| start \| gunder bengtsson per anders row 20 : 1985 \| first division \| rosenborg \| lillestrøm \| valerenga \| arne dokken bjø row 21 : 1990 \| first division \| rosenborg \| tromsø \| molde \| nils arne eggen row 22 : 1991 \| tippeligaen \| viking \| rosenborg \| start \| benny lennartsson row 23 : 1992 \| tippeligaen \| rosenborg \| kongsvinger \| start \| nils arne eggen row 24 : 1993 \| tippeligaen \| rosenborg \| bodø/glimt \| lillestrøm \| nils arne eggen row 25 : 1994 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 26 : 1996 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 27 : 2002 \| tippeligaen \| rosenborg \| molde \| lyn \| nils arne eggen row 28 : 2003 \| tippeligaen \| rosenborg \| bodø/glimt \| stabæk \| age hareide row 29 : 2004 \| tippeligaen \| rosenborg \| valerenga \| brann \| ola by rise row 30 : 2006 \| tippeligaen \| rosenborg \| brann \| valerenga \| knut tørum per-m ] Execute this SQL based on the above table: select league where id = 48	tippeligaen
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select count ( distinct callsign )	13
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( * ) desc limit 1	satellite of cky-dt winnipeg
[ 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 count ( * ) where year > 2004	5
[ header: number \| name \| team \| position \| years with franchise \| note row 1 : 23 \| lou hudson \| atlanta hawks \| f \| 1966-1977 \| None row 2 : 15 \| tom heinsohn \| boston celtics \| f \| 1956-1978 \| also served as head coach (1969-1978); row 3 : 19 \| don nelson \| boston celtics \| f \| 1965-1976 \| None row 4 : 3 \| drazen petrovic \| brooklyn nets \| g \| 1990-1993 \| died in a car crash while playing for the row 5 : 25 \| bill melchionni \| brooklyn nets \| g \| 1969-1976 \| the team was then on long island as the new row 6 : 32 \| julius erving \| brooklyn nets \| f \| 1973-1976 \| the team was then on long island as the new row 7 : 25 \| mark price \| cleveland cavaliers \| g \| 1986-1995 \| None row 8 : 43 \| brad daugherty \| cleveland cavaliers \| c \| 1986-1994 \| None row 9 : 2 \| alex english \| denver nuggets \| f \| 1980-1990 \| None row 10 : 17 \| chris mullin \| golden state warriors \| sg/sf \| 1985-1997; 2000-2001 \| also served as executive vice president of basketball operations ( row 11 : 42 \| nate thurmond \| golden state warriors \| c \| 1963-1974 \| team bore the san francisco name row 12 : 52 \| jamaal wilkes \| los angeles lakers \| f \| 1977-1985 \| None row 13 : microphone \| chick hearn \| los angeles lakers \| None \| 1960-2002 \| as broadcaster row 14 : 1 \| oscar robertson \| milwaukee bucks \| g \| 1970-1974 \| None row 15 : 2 \| junior bridgeman \| milwaukee bucks \| f \| 1975-1984; 1986-1987 \| None row 16 : 16 \| bob lanier \| milwaukee bucks \| c \| 1980-1984 \| None row 17 : 5 \| dick van arsdale \| phoenix suns \| g \| 1968-1977 \| also served as head coach (1987) row 18 : 42 \| connie hawkins \| phoenix suns \| f \| 1969-1973 \| None row 19 : 22 \| clyde drexler \| portland trail blazers \| g \| 1984-1994 \| None row 20 : 44 \| sam lacey \| sacramento kings \| c \| 1970-1981 \| during his career with the team, it was known row 21 : 19 \| lenny wilkens \| seattle supersonics \| g \| 1968-1972 \| played for the seattle supersonics and row 22 : 4 \| adrian dantley \| utah jazz \| f \| 1979-1986 \| None row 23 : 7 \| pete maravich \| utah jazz \| g \| 1974-1979 \| the team was in new orleans from 1974 row 24 : 32 \| karl malone \| utah jazz \| f \| 1985-2003 \| None ] Execute this SQL based on the above table: select number - number where team = 'milwaukee bucks'	0.0, 0.0, 0.0
[ header: entered \| wrestler \| place \| eliminated by \| time row 1 : 1 \| junior fatu \| 7th \| hoyt, kaz, s \| 03:00 row 2 : 2 \| robert roode \| advanced to part three \| None \| 06:47 row 3 : 3 \| kaz \| 5th \| roode \| 05:32 row 4 : 4 \| alex shelley \| 3rd \| young \| 06:47 row 5 : 5 \| eric young \| advanced to part three \| None \| 06:47 row 6 : 6 \| chris sabin \| 6th \| kaz \| 04:55 row 7 : 7 \| lance hoyt \| 4th \| roode \| 06:06 row 8 : 8 \| james storm \| 8th \| young \| 00:05 ] Execute this SQL based on the above table: select count ( eliminated by ) where entered = 1	1
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select notes where role = 'louanne'	episode: "i never sang for my legal guardian"
[ header: pos. \| name \| place of birth \| date of birth \| previous club \| date joined \| fee row 1 : gk \| alan buck \| colchester \| 25 august 1946 \| youth team \| 1 august 1964 \| free row 2 : gk \| sandy kennon \| johannesburg \| 28 november 1933 \| norwich city \| 6 march 1965 \| free row 3 : df \| duncan forbes \| edinburgh \| 19 june 1941 \| musselburgh athletic \| 14 april 1962 \| free row 4 : df \| john fowler \| leith \| 17 october 1933 \| bonnyrigg rose athletic \| 20 august 1955 \| free row 5 : df \| brian hall \| burbage \| 9 march 1939 \| mansfield town \| 6 march 1965 \| free row 6 : df \| mick loughton \| colchester \| 8 december 1942 \| youth team \| 1 august 1964 \| free row 7 : df \| ray price \| hetton-le-hole \| 18 may 1944 \| norwich city \| 6 february 1965 \| free row 8 : df \| david raine \| darlington \| 28 march 1937 \| doncaster rovers \| 24 september 1965 \| free row 9 : mf \| barrie aitchison \| colchester \| 15 november 1937 \| tottenham hotspur \| 22 august 1964 \| £750 row 10 : mf \| bobby blackwood \| edinburgh \| 20 august 1934 \| ipswich town \| 1 september 1965 \| free row 11 : mf \| arthur kaye \| higham \| 9 may 1933 \| middlesbrough \| 21 august 1965 \| free row 12 : mf \| john mansfield \| colchester \| 13 september 1946 \| youth team \| 1 august 1964 \| free row 13 : mf \| derek trevis \| birmingham \| 9 september 1942 \| aston villa \| 7 march 1964 \| free row 14 : fw \| peter bullock \| stoke-on-trent \| 17 november 1941 \| southend united \| 30 october 1965 \| free row 15 : fw \| reg stratton \| kingsley \| 10 july 1939 \| fulham \| 21 august 1965 \| free ] Execute this SQL based on the above table: select name where id = ( select id where name = 'brian hall' ) + 'duncan forbes'	brian hall
[ header: rank \| airport \| passengers handled \| % change 2011 / 12 row 1 : 1 \| netherlands - amsterdam \| 105349 \| None row 2 : 2 \| united kingdom - belfast-international \| 92502 \| None row 3 : 3 \| portugal - faro \| 71676 \| None row 4 : 4 \| spain - barcelona \| 66565 \| None row 5 : 5 \| spain - alicante \| 64090 \| None row 6 : 6 \| spain - malaga \| 59175 \| None row 7 : 7 \| ireland - dublin \| 35524 \| None row 8 : 8 \| jersey - jersey \| 35169 \| 1128 row 9 : 9 \| ireland - waterford \| 31907 \| 25 row 10 : 10 \| spain - palma de mallorca \| 27718 \| None ] Execute this SQL based on the above table: select airport where airport in ( 'ireland - dublin' , 'spain - palma de mallorca' ) order by rank desc limit 1	spain - palma de mallorca
[ header: tour \| official title \| venue \| city \| date start \| date finish \| prize money usd \| report row 1 : 1 \| korea open super series premier \| seoul national university gymnasium \| seoul \| january 8 \| january 13 \| 1,000,000 \| report row 2 : 2 \| malaysia open super series \| bukit kiara sports complex \| kuala lumpur \| january 15 \| january 20 \| 400,000 \| report row 3 : 3 \| all england super series premier \| national indoor arena \| birmingham \| march 5 \| march 10 \| 400,000 \| report row 4 : 4 \| india super series \| siri fort indoor stadium \| new delhi \| april 23 \| april 28 \| 200,000 \| report row 5 : 5 \| indonesia super series premier \| istora senayan \| jakarta \| june 11 \| june 16 \| 700,000 \| report row 6 : 6 \| singapore super series \| singapore indoor stadium \| singapore \| june 18 \| june 23 \| 200,000 \| report row 7 : 7 \| china masters super series \| olympic sports centre xinch \| changzhou \| september 10 \| september 15 \| 250,000 \| report row 8 : 8 \| japan super series \| yoyogi national gymnasium \| tokyo \| september 17 \| september 22 \| 200,000 \| report row 9 : 9 \| denmark super series premier \| odense idræt \| odense \| october 15 \| october 20 \| 400,000 \| report row 10 : 10 \| french super series \| stade pierre de coubertin \| paris \| october 22 \| october 27 \| 200,000 \| report row 11 : 11 \| china open super series premier \| yuanshen sports centre stadium \| shanghai \| november 12 \| november 17 \| 350,000 \| report row 12 : 12 \| hong kong super series \| hong kong coliseum \| kowloon \| november 19 \| november 24 \| 250,000 \| report row 13 : 13 \| super series masters finals \| kuala lumpur badminton \| kuala lumpur \| december 11 \| december 15 \| 500,000 \| report ] Execute this SQL based on the above table: select official title where prize money usd > 1366 order by prize money usd desc limit 1	korea open super series premier
[ header: # \| event year \| season \| flag bearer row 1 : 7 \| 2012 \| summer \| ele opeloge row 2 : 6 \| 2008 \| summer \| ele opeloge row 3 : 5 \| 2004 \| summer \| uati maposua row 4 : 4 \| 2000 \| summer \| pauga lalau row 5 : 3 \| 1996 \| summer \| bob gasio row 6 : 2 \| 1988 \| summer \| henry smith row 7 : 1 \| 1984 \| summer \| apelu ioane ] Execute this SQL based on the above table: select count ( flag bearer ) where flag bearer = 'ele opeloge'	2
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where department = 'chuquisaca'	1
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select name where area acres > ( select area acres where public access = '' and name = 'aversley wood' ) order by area acres asc limit 1	waresley wood
[ header: title \| release \| genre \| computer \| console \| handheld \| smartphone row 1 : bionicle heroes \| 2006 \| third-person shooter \| windows \| playstation 2, gamecube, xbox \| nintendo ds \| None row 2 : bionicle: matoran adventures \| 2002 \| platformer \| None \| None \| game boy advance \| None row 3 : bionicle: maze of shadows \| 2005 \| turn based rpg \| None \| None \| game boy advance \| None row 4 : bionicle: the game \| 2003 \| adventure \| windows, os x \| playstation 2, gamecube, xbox \| game boy advance \| None row 5 : drome racers \| 2002 \| racing \| windows \| playstation 2, gamecube, xbox \| game boy advance \| None row 6 : island xtreme stunts \| 2002 \| action-adventure \| windows \| playstation 2 \| game boy advance \| None row 7 : lego alpha team \| 2000 \| action \| windows \| None \| game boy color \| None row 8 : lego battles \| 2009 \| real-time strategy \| None \| None \| nintendo ds \| None row 9 : lego battles: ninjago \| 2011 \| real-time strategy \| None \| None \| nintendo ds \| ios row 10 : lego chess \| 1998 \| strategy \| windows \| None \| None \| None row 11 : lego city undercover \| 2013 \| open world, platform game \| None \| wii u \| None \| None row 12 : lego city undercover: the chase begins \| 2013 \| open world, platform game \| None \| None \| nintendo 3ds \| None row 13 : lego creationary \| 2011 \| puzzle \| None \| None \| None \| ios, android row 14 : lego creator: knights kingdom \| 2000 \| construction and management simulation \| windows \| None \| None \| None row 15 : lego friends \| 2013 \| miscellaneous \| None \| None \| nintendo ds, \| None row 16 : lego island \| 1997 \| action-adventure \| windows \| None \| None \| None row 17 : lego island 2 the brickster's revenge \| 2001 \| action-adventure \| windows \| playstation \| game boy color, game boy advance \| None row 18 : lego knights' kingdom \| 2004 \| action-adventure \| None \| None \| game boy advance \| None row 19 : lego legends of chima online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| None row 20 : lego legends of chima: speed \| 2013 \| racing \| windows \| None \| None \| ios row 21 : lego loco \| 1998 \| virtual world \| windows \| None \| None \| None row 22 : lego minifigures online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| ios, android row 23 : lego my style kindergarten \| 2000 \| educational \| windows, mac os \| None \| None \| None row 24 : lego my style preschool \| 2000 \| educational \| windows, mac os \| None \| None \| None row 25 : lego ninjago: the final \| 2013 \| platformer \| windows \| None \| None \| None row 26 : lego racers \| 1999 \| racing \| windows \| playstation, nintendo 64 \| game boy color \| None row 27 : lego racers 2 \| 2001 \| racing \| windows \| playstation 2 \| game boy advance \| None row 28 : lego rock raiders \| 1999 \| real-time strategy, action \| windows \| playstation \| None \| None row 29 : lego soccer mania \| 2002 \| sport \| windows \| playstation 2 \| game boy advance \| None row 30 : lego stunt rally \| 2000 \| racing \| windows \| None \| game boy color \| None row 31 : lego universe \| 2010 \| massively multiplayer online (mmo) \| windows, os x \| None \| None \| None row 32 : legoland \| 1999 \| simulation strategy \| windows \| None \| None \| None ] Execute this SQL based on the above table: select count ( computer )	23
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select count ( * ) where score = 0	0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| crowd \| record row 1 : 1 \| apr 3 \| @min \| w 8-1 \| morris \| williams \| None \| 34381 \| 1-0 row 2 : 2 \| apr 5 \| @min \| w 7-3 \| petry \| viola \| None \| 8373 \| 2-0 row 3 : 3 \| apr 6 \| @chw \| w 3-2 \| wilcox \| dotson \| hernandez \| 42692 \| 3-0 row 4 : 4 \| apr 7 \| @chw \| w 4-0 \| morris \| bannister \| None \| 24616 \| 4-0 row 5 : 5 \| apr 8 \| @chw \| w 7-3 \| lopez \| seaver \| None \| 20478 \| 5-0 row 6 : 6 \| apr 10 \| tex \| w 5-1 \| petry \| stewart \| None \| 51238 \| 6-0 row 7 : 7 \| apr 12 \| tex \| w 9-4 \| morris \| tanana \| None \| 19154 \| 7-0 row 8 : 8 \| apr 13 \| @bos \| w 13-9 \| bair \| hurst \| None \| 35179 \| 8-0 row 9 : 9 \| apr 18 \| kcr \| w 4-3 (10) \| hernandez \| beckwith \| None \| 12310 \| 9-0 row 10 : 10 \| apr 19 \| kcr \| l 2-5 \| saberhagen \| petry \| quisenberry \| 12100 \| 9-1 row 11 : 11 \| apr 20 \| chw \| w 3-2 \| lopez \| reed \| None \| 33554 \| 10-1 row 12 : 12 \| apr 21 \| chw \| w 4-1 \| rozema \| hoyt \| bair \| 34395 \| 11-1 row 13 : 13 \| apr 22 \| chw \| w 9-1 \| berenguer \| brennan \| None \| 10603 \| 12-1 row 14 : 14 \| apr 24 \| min \| w 6-5 \| morris \| davis \| None \| None \| 13-1 row 15 : 15 \| apr 24 \| min \| w 4-3 \| abbott \| viola \| lopez \| 20315 \| 14-1 row 16 : 16 \| apr 25 \| @tex \| w 9-4 \| wilcox \| stewart \| hernandez \| 25883 \| 15-1 row 17 : 17 \| apr 26 \| @tex \| w 7-5 \| bair \| tanana \| lopez \| 13559 \| 16-1 row 18 : 18 \| apr 27 \| cle \| l 4-8 (19) \| aponte \| abbott \| None \| 34112 \| 16-2 row 19 : 19 \| apr 28 \| cle \| w 6-2 \| morris \| behenna \| None \| 28253 \| 17-2 row 20 : 20 \| apr 29 \| cle \| w 6-1 \| petry \| spillner \| None \| 24853 \| 18-2 ] Execute this SQL based on the above table: select sum ( # )	210.0
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select result where actor = 'dan castellaneta'	won, won, won, won, nominated
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select attendance where id = 1	1500
[ header: defendant \| arrested \| charge \| result \| sentence row 1 : john calvin bartlett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| six years of probation row 2 : charles brokaw \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| six months in prison plus probation row 3 : vernon cassel \| october 31, 1955 \| infamous crimes against nature \| pleaded guilty \| ten years in prison row 4 : ralph cooper \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| life imprisonment. served nine years row 5 : melvin dir \| january 7, 1956 \| lewd conduct with a minor \| pleaded guilty \| five years in prison, suspended. later violates row 6 : charles herbert gordon \| december 11, 1955 \| lewd and lascivious conduct \| pleaded guilty \| 15 years in prison row 7 : gordon larsen \| december 11, 1955 \| infamous crimes against nature \| tried, found guilty \| five years in prison row 8 : paris martin \| december 11, 1955 \| infamous crimes against nature \| tried, found not guilty \| none row 9 : joe moore \| november 14, 1955 \| infamous crimes against nature \| pleaded guilty \| seven years in prison. loses appeal to the row 10 : charles pruett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison row 11 : reginald shaffer \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| 15 years in prison row 12 : willard wilson \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison. loses appeal to the ] Execute this SQL based on the above table: select result where result != 'pleaded guilty' and charge = ( select charge where result = 'pleaded guilty' )	tried, found guilty, tried, found not guilty
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select competition where id = ( select id where score = '3-0' ) - 1	euro 1996 qualifying
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select representative where year > ( select year where representative = 'anita gurung' )	chandra gurung, madina begum, dilasha gc, sipora gurung, rashmi adhikari
[ 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 where area (mm2) > 1613 and stops (area) < 1164 order by height (mm) limit 1	medium-format (hasselblad h5d-60)
[ header: song \| artists \| release \| year \| notes row 1 : "all of you" \| riz mc, aruba red, \| microscope \| 2012 \| original 2011 recording does not feature plan b row 2 : "atomic" \| labrinth, plan b \| atomic \| 2013 \| None row 3 : "before i die" (remix) \| professor green, narstie, \| "before i die" \| 2006 \| None row 4 : "bring it back" \| juse, j.b., \| global casino \| 2006 \| None row 5 : "broken wings" \| mc purple, doctor, plan b \| eye of the tiger, vol. 1 \| 2005 \| None row 6 : "end credits" \| chase & status, plan b \| no more idols \| 2011 \| None row 7 : "everyday" (rusher remix) \| shameless, example, plan b \| "everyday (in a broken dream \| 2007 \| None row 8 : "fool yourself" \| chase & status, plan b, \| no more idols \| 2011 \| None row 9 : "harry" (plan b remix) \| medison, skrein, \| "harry" \| 2010 \| None row 10 : "how's it feel" \| skrein, wyt \| the eat up \| 2007 \| also appears on it's time 4 plan row 11 : "i wanna get next to you" ( \| danielle senior, plan b, \| "take you home" \| 2006 \| None row 12 : "last dayz" \| skreintax, plan b \| "scene stealers" \| 2009 \| None row 13 : "makin' love 2 hip hop" \| plan b, skrein, \| sharpest tool in the box \| 2007 \| None row 14 : "maybe" \| skrein, shameless, plan \| bless: the mixtape \| 2007 \| None row 15 : "more is enough" \| epic man, plan b \| "more is enough" \| 2006 \| also appears as bonus track on australian release of row 16 : "my eyes" \| shameless, tb, plan b \| bless: the mixtape \| 2007 \| None row 17 : "no hats no trainers" \| shameless, plan b \| smokers die younger \| 2007 \| None row 18 : "on it 08" \| adam deacon, plan b \| adulthood \| 2008 \| None row 19 : "past that" \| shameless, plan b \| above board \| 2006 \| None row 20 : "pieces" \| chase & status, plan b \| more than alot \| 2008 \| None row 21 : "play ur position" \| juse, conspicuous, ane \| global casino \| 2006 \| None row 22 : "polarised nation" \| carly bond, ripper, hitman \| eye of the tiger, vol. 1 \| 2005 \| None row 23 : "reveal your inner self" (plan \| killa kela, plan b \| "reveal your inner self" \| 2007 \| None row 24 : "shifty" \| riz mc, sway, \| shifty \| 2009 \| None row 25 : "shots echo" \| the mitchell brothers, plan b, \| dressed for the occasion \| 2007 \| None ] Execute this SQL based on the above table: select count ( distinct artists ) where year > 2012	1
[ header: \| country \| builder \| location \| ship \| class / type row 1 : 6 march \| united states \| john roach and son \| chester, pennsylvania \| city of rio de janeiro \| passenger ship row 2 : 13 may \| germany \| kaiserliche werft wil \| wilhelmshaven \| bayern \| sachsen-class ironclad row 3 : 13 june \| united kingdom \| royal dockyard \| devonport, devon \| pegasus \| doterel-class sloop row 4 : 31 august \| united kingdom \| royal dockyard \| sheerness \| gannet \| doterel-class sloop row 5 : 23 october \| norway \| karljohansverns ver \| horten \| nor \| vale-class gunboat row 6 : 1 november \| norway \| karljohansverns ver \| horten \| brage \| vale-class gunboat row 7 : 9 november \| germany \| a. g. vulcan \| stettin \| wurttemberg \| sachsen-class ironclad ] Execute this SQL based on the above table: select count ( ) where country = 3	0
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select sum ( population (2011) )	15886300.0
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select race order by reports desc limit 1	daytona arca 200
[ header: year \| cast (nabucco, abigaille, zaccaria, ismaele, fenena) \| conductor, opera house and orchestra \| label row 1 : 1951 \| paolo silveri, caterina \| fernando previtali, orchestra \| audio cd: warner fon row 2 : 1965 \| tito gobbi, \| lamberto gardelli, vienn \| audio cd: decca cat: 4 row 3 : 1977-78 \| matteo manuguerra, renat \| riccardo muti, phil \| audio cd: emi records row 4 : 1982 \| piero cappuccilli, \| giuseppe sinopoli, \| audio cd: dg cat: row 5 : 1987 \| renato bruson, g \| riccardo muti, la \| dvd: warner cat: 5050467 row 6 : 2002 \| juan pons, maria \| james levine, metropolitan opera \| dvd: dg, live recording cat: row 7 : 2004 \| alberto gazzale, susan \| riccardo frizza, teatr \| dvd: dynamic, live recording cat: 334 row 8 : 2004 \| renato bruson, mauri \| paolo carignani, teat \| dvd: brilliant classics, live recording cat: row 9 : 2007 \| leo nucci, maria guleg \| daniel oren, arena di \| dvd: decca, live recording cat: ] Execute this SQL based on the above table: select cast (nabucco, abigaille, zaccaria, ismaele, fenena) order by conductor, opera house and orchestra asc limit 1	leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select total elected seats order by number of popular votes desc limit 1	103 / 412
[ header: \| name \| took office \| left office \| party row 1 : 1 \| vasso papandreou \| 21 february 1996 \| 19 february 1999 \| panhellenic socialist movement row 2 : 2 \| evangelos venizelos \| 19 february 1999 \| 13 april 2000 \| panhellenic socialist movement row 3 : 3 \| nikos christodoulaki \| 13 april 2000 \| 24 october 2001 \| panhellenic socialist movement row 4 : 4 \| akis tsochatzo \| 24 october 2001 \| 10 march 2004 \| panhellenic socialist movement row 5 : 5 \| dimitris sioufas \| 10 march 2004 \| 19 september 2007 \| new democracy row 6 : 6 \| christos folias \| 19 september 2007 \| 8 january 2009 \| new democracy row 7 : 7 \| kostis hatzidakis \| 8 january 2009 \| 7 october 2009 \| new democracy ] Execute this SQL based on the above table: select name where name = 'vasso papandreou' and party = 'panhellenic socialist movement'	vasso papandreou
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select ( select # where english translation = 'the stars and me' ) > 1822	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( * ) where date <= 1983	6
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select manufacturer where max payload (t) = 122 order by model desc limit 1	lockheed
[ header: # \| player \| span \| caps \| total caps \| win % row 1 : 1 \| fabien pelous \| 1997-2006 \| 42 \| 118 \| 64.28% row 2 : 2 \| raphael ibanez \| 1998-2007 \| 41 \| 98 \| 63.41% row 3 : 3 \| jean-pierre rives \| 1978-1984 \| 34 \| 59 \| 55.88% row 4 : 3 \| philippe saint-andre \| 1994-1997 \| 34 \| 69 \| 73.53% row 5 : 5 \| thierry dusautoir \| 2009- \| 31 \| 54 \| 54.84% row 6 : 6 \| daniel dubroca \| 1986-1988 \| 11 \| 33 \| 72.00% row 7 : 6 \| fabien galthie \| 1999-2003 \| 11 \| 64 \| 64.00% row 8 : 8 \| guy basquet \| 1948-1952 \| 11 \| 33 \| 50.00% row 9 : 9 \| michel crauste \| 1961-1966 \| 11 \| 63 \| 68.18% row 10 : 10 \| jacques fouroux \| 1974-1977 \| 11 \| 27 \| 66.67% ] Execute this SQL based on the above table: select # where player = 'philippe saint-andre'	3
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select year order by budget asc limit 1	1988

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[ header: tie no \| home team \| score \| away team \| attendance row 1 : 1 \| ifk vasteras (d2) \| 3-2 \| ik sleipner (d \| 875 row 2 : 2 \| kramfors if (n) \| 2-4 (aet) \| bk kenty (d3) \| 2808 row 3 : 3 \| reymersholms ik \| 5-2 \| atvidabergs ff (d \| 1504 row 4 : 4 \| wifsta/ostrands if \| 4-3 \| ludvika ffi \| 974 row 5 : 5 \| raa if (d3) \| 3-2 \| sandvikens if (d \| 2116 row 6 : 6 \| sandvikens aik \| 2-3 (aet) \| tidaholms g \| 822 row 7 : 7 \| karlstads bik (d \| 2-5 \| if friska viljor (n) \| 1550 row 8 : 8 \| sandviks ik (n \| 2-3 \| surahammars if (d2) \| None ] Execute this SQL based on the above table: select count ( * ) where away team = 'tidaholms gif (d2)'	1
[ header: incumbent \| reason for vacancy \| appointed successor \| date of appointment \| elected successor \| date of election row 1 : l. b. lindsay \| disqualified, never took office \| henry e. prickett \| november 19, 1867 \| thomas b. hart \| january 1868 row 2 : john hailey \| never took office \| charles himrod \| july 10, 1871 \| george h. twitche \| july 8, 1872 row 3 : sol hasbrouck \| resigned november 5, 1885 \| james w. huston \| december 28, 1885 \| peter j. pefley \| july 1887 row 4 : harry fritchman \| resigned may 25, 1912 \| arthur hodges \| may 25, 1912 \| arthur hodges \| april 1, 1913 row 5 : j. w. robinson \| recalled june 1, 1916 \| s. h. hays \| june 6, 1916 \| s. h. hays \| april 1917 row 6 : herbert f. lemp \| died may 6, 1927 \| walter f. hansen \| may 6, 1927 \| james p. pope \| april 1929 row 7 : james p. pope \| resigned february 13, 1933 \| ross cady \| february 13, 1933 \| j. j. mccu \| april 1933 row 8 : byron e. hyat \| died november 11, 1936 \| j. l. edle \| november 11, 1936 \| j. l. edle \| april 1937 row 9 : h. w. whillock \| resigned may 11, 1942 \| austin walker \| may 11, 1942 \| austin walker \| april 1943 row 10 : austin walker sam s \| died october 31, 1945 re \| sam s. griffin \| october 31, 1945 february \| potter p. howard \| april 1947 row 11 : dirk kempthorne \| resigned january 5, 1993 \| h. brent coles \| january 5, 1993 \| h. brent coles \| november 1993 row 12 : h. brent coles \| resigned february 15, 2003 \| carolyn terteling-p \| february 18, 2003 \| david h. bieter \| november 2003 ] Execute this SQL based on the above table: select count ( * ) where reason for vacancy = 'never took office'	1
[ header: # \| date \| opponent \| score \| result \| competition row 1 : 1 \| 1988 \| indonesia \| 4-0 \| won \| 1988 afc u-17 championship group row 2 : 2 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 3 : 3 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 4 : 4 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 5 : 5 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 6 : 6 \| 1988 \| iraq \| 2-1 \| won \| 1988 afc u-17 championship semifinal row 7 : 7 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 8 : 8 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 9 : 9 \| june 12, 1989 \| guinea \| 2-2 \| draw \| 1989 fifa u-16 world championship group row 10 : 10 \| june 12, 1989 \| colombia \| 1-0 \| won \| 1989 fifa u-16 world championship group row 11 : 11 \| june 12, 1989 \| bahrain \| 1-0 \| won \| 1989 fifa u-16 world championship semifinal row 12 : 12 \| february 22, 1989 \| portugal \| 3-0 \| won \| 1989 fifa world youth championship group stages row 13 : 13 \| 1989 \| kuwait \| 1-0 \| won \| 1989 palestine cup of nations for youth group row 14 : 14 \| 1989 \| bahrain \| 1-1(4-3) \| lost \| 1989 palestine cup of nations for youth third ] Execute this SQL based on the above table: select count ( distinct score )	8
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : republican \| 13916 \| 5342 \| 19258 \| 25.61% row 2 : democratic \| 21493 \| 7115 \| 28608 \| 38.05% row 3 : unaffiliated \| 20118 \| 7062 \| 27180 \| 36.15% row 4 : minor parties \| 100 \| 40 \| 140 \| 0.19% row 5 : total \| 55627 \| 19559 \| 75186 \| 100% ] Execute this SQL based on the above table: select percentage where id = 1	25.61%
[ header: draw \| artist \| song \| jury \| televote \| total \| place row 1 : 1 \| kasia nova \| "the devil" \| 0 \| 1 \| 1 \| 11 row 2 : 2 \| edi ann \| "lovin'u" \| 7 \| 5 \| 12 \| 4 row 3 : 3 \| izabela kopec \| "you've got my love" \| 4 \| 6 \| 10 \| 6 row 4 : 4 \| starnawski & urban noiz \| "it's not a game" \| 5 \| 0 \| 5 \| 10 row 5 : 5 \| queens \| "i say my body" \| 0 \| 0 \| 0 \| 12 row 6 : 6 \| isis gee \| "for life" \| 12 \| 12 \| 24 \| 1 row 7 : 7 \| man meadow \| "viva la musica" \| 2 \| 10 \| 12 \| 3 row 8 : 8 \| afromental \| "thing we've got" \| 3 \| 4 \| 7 \| 9 row 9 : 9 \| plastic \| "do something" \| 10 \| 2 \| 12 \| 5 row 10 : 10 \| sandra oxenryd \| "superhero" \| 6 \| 3 \| 9 \| 8 row 11 : 11 \| natasza urbanska \| "blow over" \| 8 \| 7 \| 15 \| 2 row 12 : 12 \| margo \| "dlatego walcz" \| 1 \| 8 \| 9 \| 7 ] Execute this SQL based on the above table: select ( select total where song = '"the devil"' ) > ( select total where song = '"do something"' )	0
[ header: name in english \| name in turkish \| area (km2) \| depth \| location (districts and/or provinces) row 1 : lake tuz \| tuz golu \| 1500 km2 \| 2 m \| aksaray, ankara, row 2 : lake egirdir \| egirdir golu \| 482 km2 \| None \| isparta row 3 : lake iznik \| iznik golu \| 308 km2 \| None \| iznik in bursa, row 4 : lake manyas \| manyas golu \| 166 km2 \| None \| balıkesir row 5 : lake acıgol \| acıgol \| 153 km2 \| None \| denizli, afyon row 6 : lake uluabat \| uluabat golu \| 134 km2 \| 1-2 m \| bursa row 7 : lake cıldır \| cıldır golu \| 115 km2 \| None \| ardahan, kars row 8 : lake palas tuzla \| palas tuzla gol \| 106 km2 \| 15 m \| palas/kayseri row 9 : lake hazar \| hazar golu \| 86 km2 \| None \| elazıg row 10 : lake koycegiz \| koycegiz golu \| 52 km2 \| None \| koycegiz in mugla row 11 : lake isıklı \| isıklı golu \| 49 km2 \| None \| denizli row 12 : lake yay \| yay golu \| 37 km2 \| None \| kayseri row 13 : lake tuzla \| tuzla golu \| 23 km2 \| None \| tuzla row 14 : lake kucukcekmece \| kucukcekmece gol \| 16 km2 \| None \| kucukcekmece, ist row 15 : lake yaraslı \| yaraslı golu \| 16 km2 \| None \| burdur row 16 : lake haclı \| haclı golu \| 16 km2 \| None \| mus row 17 : lake arin \| arin golu \| 13 km2 \| None \| None row 18 : lake balık \| balık golu \| 12 km2 \| None \| None row 19 : lake akdogan \| akdogan golu \| 11 km2 \| None \| None row 20 : lake cavuslu \| cavuslu golu \| 9 km2 \| None \| None row 21 : lake duden \| duden golu \| 8 km2 \| None \| None row 22 : lake gala \| gala golu \| 8 km2 \| None \| edirne row 23 : lake karatas \| karatas golu \| 6 km2 \| None \| None row 24 : lake eymir \| eymir golu \| 1.8 km2 \| None \| ankara row 25 : lake golcuk \| golcuk golu \| 1 km2 \| None \| izmir ] Execute this SQL based on the above table: select count ( name in english ) where area (km2) is null and area (km2) < 39	0
[ header: \| name \| title reign \| title recognition \| successful defenses row 1 : 1 \| joe calzaghe \| 10 years, 11 months, 15 days \| ibf, wba, \| 21 row 2 : 2 \| sven ottke \| 5 years, 5 months, 3 days \| ibf, wba ( \| 21 row 3 : 3 \| frankie liles \| 4 years, 10 months, 0 days \| wba \| 8 row 4 : 4 \| lucian bute \| 4 years, 7 months, 7 days \| ibf \| 9 row 5 : 5 \| chris eubank \| 4 years, 4 months, 0 days \| wbo \| 14 row 6 : 6 \| andre ward \| 4 years, 6 months, 3 weeks and 1 \| wba (super), wb \| 6 row 7 : 7 \| chong-pal park \| 3 years, 7 months, 17 days \| ibf, wba \| 10 row 8 : 8 \| nigel benn \| 3 years, 4 months, 28 days \| wbc \| 9 row 9 : 9 \| robert stieglitz \| 3 years, 0 months, 3 days \| wbo \| 6 row 10 : 10 \| mikkel kessler \| 2 years, 11 months, 23 days \| wba (super) \| 4 ] Execute this SQL based on the above table: select title recognition where title recognition in ( 'ibf, wba, wbo, wbc, the ring' , 'wbo' ) and title recognition = 'ibf, wba, wbo, wbc, the ring'	ibf, wba, wbo, wbc, the ring
[ header: # \| club \| winner \| last win \| runner-up \| last losing final row 1 : 1 \| esteghlal (taj) \| 6 \| 2012 \| 3 \| 2004 row 2 : 2 \| persepolis \| 5 \| 2011 \| 2 \| 2013 row 3 : 3 \| sepahan \| 4 \| 2013 \| 0 \| None row 4 : 4 \| malavan \| 3 \| 1990 \| 4 \| 2011 row 5 : 5 \| zob ahan \| 2 \| 2009 \| 1 \| 2001 row 6 : 6 \| bahman \| 1 \| 1995 \| 2 \| 2000 row 7 : 6 \| fajr sepasi \| 1 \| 2001 \| 2 \| 2003 row 8 : 6 \| tractor sazi \| 1 \| 2014 \| 2 \| 1995 row 9 : 8 \| bargh shiraz \| 1 \| 1997 \| 1 \| 1996 row 10 : 8 \| saba qom (saba \| 1 \| 2005 \| 1 \| 2007 row 11 : 10 \| saipa \| 1 \| 1994 \| 0 \| None row 12 : 10 \| shahin ahvaz \| 1 \| 1988 \| 0 \| None row 13 : 13 \| homa \| 0 \| None \| 1 \| 1977 row 14 : 13 \| kheibar khorramabad \| 0 \| None \| 1 \| 1986 row 15 : 13 \| jonoob ahvaz \| 0 \| None \| 1 \| 1994 row 16 : 13 \| aboomoslem \| 0 \| None \| 1 \| 2005 row 17 : 13 \| damash (pegah) \| 0 \| None \| 1 \| 2008 row 18 : 13 \| rah ahan \| 0 \| None \| 1 \| 2009 row 19 : 13 \| gostaresh foolad \| 0 \| None \| 1 \| 2010 row 20 : 13 \| shahin bushehr \| 0 \| None \| 1 \| 2012 row 21 : 13 \| mes kerman \| 0 \| None \| 1 \| 2014 ] Execute this SQL based on the above table: select count ( club )	21
[ header: year \| artist \| album \| chart position \| role row 1 : 1961 \| eddie harris \| "exodus" (single) \| #16 r&b, #36 us \| remastering engineer row 2 : 1968 \| eddie harris \| "it's crazy" (single \| #88 us \| remastering engineer row 3 : 1969 \| eddie harris & \| swiss movement \| #1 jazz, #2 r&b, # \| remixing & remastering engineer row 4 : 1969 \| r.b. greaves \| r.b. greaves \| #24 r&b, #85 us \| mixing engineer row 5 : 1971 \| eddie harris & \| second movement \| #1 jazz, # 41 us \| recording and remastering engineer row 6 : 1971 \| les mccann \| invitation to openness \| #8 jazz \| remastering engineer row 7 : 1971 \| donny hathaway \| donny hathaway \| #6 r&b, #89 us \| recording engineer row 8 : 1972 \| roberta flack & \| roberta flack & \| #3 us, #2 r&b, # \| recording engineer row 9 : 1972 \| cream \| live cream volume ii \| #27 us \| remixing engineer row 10 : 1972 \| herbie mann \| hold on, i'm coming \| #7 jazz \| mixing engineer row 11 : 1973 \| bette midler \| bette midler \| #6 us \| recording engineer row 12 : 1973 \| hall & oates \| abandoned luncheonette \| #33 us \| recording engineer row 13 : 1973 \| willie nelson \| shotgun willie \| #41 us \| recording engineer row 14 : 1973 \| les mccann \| layers \| #5 jazz \| remastering engineer row 15 : 1973 \| the modern jazz quartet \| blues on bach \| #34 jazz \| recording and mixing engineer row 16 : 1973 \| donny hathaway \| extension of a man \| #18 r&b, #69 us \| recording engineer row 17 : 1973 \| bee gees \| mr. natural \| #178 us \| recording engineer row 18 : 1974 \| the modern jazz quartet \| the complete last concert \| #34 jazz \| mixing engineer row 19 : 1976 \| the rolling stones \| black and blue \| #1 us \| recording engineer row 20 : 1976 \| willie nelson \| the troublemaker \| #1 country, #60 us \| recording engineer row 21 : 1979 \| bette midler \| thighs and whispers \| #65 us \| recording engineer row 22 : 1983 \| paul simon \| hearts and bones \| #35 us \| recording engineer row 23 : 1993 \| david "fathead" newman \| bigger & better \| #10 jazz, #42 r&b \| remastering engineer row 24 : 1998 \| various artists \| jazz for the open road \| #1 jazz \| mastering engineer row 25 : 1998 \| various artists \| jazz for the quiet times \| #1 jazz \| mastering engineer row 26 : 1999 \| various artists \| jazz for when you're alone \| #1 jazz \| mastering engineer row 27 : 1999 \| various artists \| jazz for a lazy day \| #4 jazz \| mastering engineer row 28 : 2000 \| various artists \| jazz for a rainy afternoon \| #1 jazz \| mastering engineer row 29 : 2000 \| jane monheit \| never never land \| #2 jazz \| mixing & mastering engineer row 30 : 2000 \| various artists \| jazz for when you're in love \| #9 jazz \| mastering engineer row 31 : 2001 \| jane monheit \| come dream with me \| #1 jazz \| mixing & mastering engineer row 32 : 2002 \| jane monheit \| in the sun \| #2 jazz \| recording, mixing & mastering engineer row 33 : 2003 \| various artists \| jazz for those peaceful moments \| #4 jazz \| mastering engineer row 34 : 2007 \| mocean worker \| cinco de mowo! \| #16 electronic \| mastering engineer ] Execute this SQL based on the above table: select year where year in ( 2000 , 313 ) order by year desc limit 1	2000
[ header: team \| stadium \| capacity \| seated row 1 : merthyr town \| penydarren park \| 10000 \| None row 2 : paulton rovers \| athletic field \| 5000 \| 253 row 3 : evesham united \| st george's lane \| 4749 \| None row 4 : winchester city \| the city ground \| 4500 \| 180 row 5 : clevedon town \| hand stadium \| 3500 \| 300 row 6 : cinderford town \| the causeway \| 3500 \| 250 row 7 : tiverton town \| ladysmead \| 3500 \| 520 row 8 : wimborne town \| cuthbury \| 3250 \| 275 row 9 : didcot town \| npower loop meadow stadium \| 3000 \| 150 row 10 : swindon supermarine \| the webb's wood stadium \| 3000 \| None row 11 : bridgwater town \| fairfax park \| 2500 \| 128 row 12 : hungerford town \| bulpit lane \| 2500 \| 170 row 13 : mangotsfield united \| cossham street \| 2500 \| 300 row 14 : taunton town \| wordsworth drive \| 2500 \| 300 row 15 : abingdon united \| northcourt road \| 2000 \| 158 row 16 : poole town \| tatnam \| 2000 \| 154 row 17 : north leigh \| eynsham hall park sports ground \| 2000 \| 100 row 18 : yate town \| lodge road \| 2000 \| 236 row 19 : bishop's cleeve \| kayte lane \| 1500 \| 50 row 20 : sholing \| vt group sports ground \| 1000 \| 150 row 21 : shortwood united \| the meadowbank ground \| tbc \| None row 22 : cirencester town \| corinium stadium \| tbc \| None ] Execute this SQL based on the above table: select stadium group by stadium order by count ( * ) desc limit 1	wordsworth drive
[ header: date \| venue \| opponent \| score \| result \| competition \| # row 1 : 15 nov 2006 \| lansdowne road, dublin \| san marino \| 2-0 \| 5-0 \| euro 2008 qualifying \| 1 row 2 : 28 mar 2007 \| croke park, dublin \| slovakia \| 1-0 \| 1-0 \| euro 2008 qualifying \| 2 row 3 : 23 may 2007 \| giants stadium, new york \| ecuador \| 1-1 \| 1-1 \| friendly \| 3 row 4 : 9 sep 2007 \| tehelne pole, bra \| slovakia \| 1-2 \| 2-2 \| euro 2008 qualifying \| 4 row 5 : 17 nov 2007 \| millennium stadium, cardiff \| wales \| 1-2 \| 2-2 \| euro 2008 qualifying \| 5 row 6 : 6 sep 2008 \| stadion am bruchweg, main \| georgia \| 0-1 \| 1-2 \| 2010 fifa world cup qualifying \| 6 row 7 : 5 sep 2009 \| neo gsp stadium, \| cyprus \| 0-1 \| 1-2 \| 2010 fifa world cup qualifying \| 7 row 8 : 25 may 2010 \| rds arena, dublin \| paraguay \| 1-0 \| 2-1 \| friendly \| 8 row 9 : 7 sep 2010 \| aviva stadium, dublin \| andorra \| 2-0 \| 3-1 \| euro 2012 qualifying \| 9 row 10 : 7 oct 2011 \| estadi comunal, andorr \| andorra \| 1-0 \| 2-0 \| euro 2012 qualifying \| 10 row 11 : 7 sep 2012 \| astana arena, astana \| kazakhstan \| 2-1 \| 2-1 \| 2014 fifa world cup qualifying \| 11 row 12 : 11 sep 2012 \| craven cottage, london \| oman \| 3-0 \| 4-1 \| friendly \| 12 ] Execute this SQL based on the above table: select count ( result ) where # > 12	0
[ header: rank \| mountain \| height (m) \| height (ft) \| range \| coordinates \| prominence (m) \| parent mountain \| first ascent \| ascents (failed attempts) bef.2004 row 1 : 5 \| makalu \| 8485 \| 27838 \| mahalangur himalaya \| 27°53′23′′n 87° \| 2386 \| mount everest \| 1955 \| 45 (52) row 2 : 20 \| ngadi chuli \| 7871 \| 25823 \| manaslu himalaya \| 28°30′12′′n 84° \| 1020 \| manaslu \| 1970 \| 2 (6) row 3 : 21 \| khunyang chhish \| 7823 \| 25666 \| hispar karakoram \| 36°12′19′′n 75°12 \| 1765 \| distaghil sar \| 1971 \| 2 (6) row 4 : 41 \| gongga shan/ miny \| 7556 \| 24790 \| daxue shan \| 29°35′43′′n 101°52 \| 3642 \| mount everest \| 1932 \| 6 (7) row 5 : 43 \| muztagh ata \| 7546 \| 24757 \| muztagata kunlun \| 38°16′33′′n 75°06 \| 2735 \| kongur tagh \| 1956 \| many row 6 : 53 \| pumari chhish \| 7492 \| 24580 \| hispar karakoram \| 36°12′41′′n 75°15 \| 890 \| khunyang chhish \| 1979 \| 1 (2) row 7 : 62 \| yangra/ ganesh \| 7422 \| 24350 \| ganesh himalaya \| 28°23′29′′n 85°07 \| 2352 \| manaslu \| 1955 \| 1 (6) row 8 : 69 \| ghent kangri \| 7401 \| 24281 \| saltoro karakoram \| 35°31′04′′n 76° \| 1493 \| saltoro kangri \| 1961 \| 4 (0) row 9 : 80 \| chamlang \| 7321 \| 24019 \| mahalangur himalaya \| 27°46′30′′n 86° \| 1240 \| lhotse \| 1961 \| 7 (1) row 10 : 87 \| baintha brakk/ the ogre \| 7285 \| 23901 \| panmah karakoram \| 35°56′51′′n 75°45 \| 1891 \| kanjut sar \| 1977 \| 3 (13) row 11 : 97 \| mukut parbat \| 7242 \| 23760 \| garhwal himalaya \| 30°56′57′′n 79° \| 840 \| kamet \| 1951 \| 2 (1) ] Execute this SQL based on the above table: select mountain order by height (m) desc limit 1	makalu
[ header: # \| temple name \| hangul \| hanja \| period of reign \| personal name \| relationship \| note row 1 : 2 \| daru \| 다루왕 \| 多婁王 \| 28-77 \| None \| first son of onjo \| None row 2 : 3 \| giru \| 기루왕 \| 己婁王 \| 77-128 \| None \| first son of daru \| None row 3 : 7 \| saban \| 사반왕 \| 沙泮王 \| 234 \| None \| first son of gusu \| also sai (사이왕, 沙伊王 row 4 : 9 \| chaekgye \| 책계왕 \| 責稽王 \| 286-298 \| None \| son of goi \| also cheonggye (청계왕, row 5 : 11 \| biryu \| 비류왕 \| 比流王 \| 304-344 \| None \| second son of gusu \| None row 6 : 15 \| chimnyu \| 침류왕 \| 枕流王 \| 384-385 \| None \| first son of geungusu \| None row 7 : 16 \| jinsa \| 진사왕 \| 辰斯王 \| 385-392 \| None \| younger brother of chimnyu \| also buyeohui (부여휘, 扶餘暉 row 8 : 17 \| asin \| 아신왕 \| 阿莘王 \| 392-405 \| None \| nephew of jinsa; first son \| also aha (아화왕, 阿華王) row 9 : 19 \| gu-isin \| 구이신왕 \| 久爾辛王 \| 420-427 \| None \| first son of jeonji \| None row 10 : 24 \| dongseong \| 동성왕 \| 東城王 \| 479-501 \| modae (모대, 牟大) or \| cousin of samgeum \| None row 11 : 27 \| wideok \| 위덕왕 \| 威德王 \| 554-598 \| chang (창, 昌) \| first son of seong \| also chang (창왕, 昌王) row 12 : 28 \| hye \| 혜왕 \| 惠王 \| 598-599 \| gye (계, 季) \| younger brother of wideok \| also heon (헌왕, 獻王) row 13 : 31 \| uija \| 의자왕 \| 義慈王 \| 641-660 \| None \| first son of mu \| None ] Execute this SQL based on the above table: select relationship where relationship in ( 'younger brother of chimnyu' , 'first son of mu' ) order by # desc limit 1	first son of mu
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select avg ( no )	11.954545454545455
[ header: name \| status \| population \| district \| former local authority row 1 : cronton \| civil parish \| 1379 \| knowsley \| whiston rural district row 2 : halewood \| town \| 20309 \| knowsley \| whiston rural district row 3 : huyton with roby \| unparished area \| 49859 \| knowsley \| huyton with roby urban district row 4 : kirkby \| unparished area \| 40374 \| knowsley \| kirkby urban district row 5 : knowsley \| civil parish \| 11343 \| knowsley \| whiston rural district row 6 : prescot \| town \| 11184 \| knowsley \| prescot urban district row 7 : tarbock \| civil parish \| 2382 \| knowsley \| whiston rural district row 8 : whiston \| town \| 13629 \| knowsley \| whiston rural district row 9 : liverpool \| unparished area \| 439473 \| liverpool \| liverpool county borough row 10 : aintree village \| civil parish \| 7126 \| sefton \| west lancashire rural district row 11 : crosby \| unparished area \| 45872 \| sefton \| crosby municipal borough row 12 : formby \| civil parish \| 23586 \| sefton \| formby urban district row 13 : hightown \| civil parish \| 2247 \| sefton \| crosby municipal borough row 14 : ince blundell \| civil parish \| 518 \| sefton \| west lancashire rural district row 15 : little altcar \| civil parish \| 892 \| sefton \| west lancashire rural district row 16 : lydiate \| civil parish \| 6672 \| sefton \| west lancashire rural district row 17 : maghull \| town \| 22225 \| sefton \| west lancashire rural district row 18 : melling \| civil parish \| 2810 \| sefton \| west lancashire rural district row 19 : sefton \| civil parish \| 772 \| sefton \| west lancashire rural district row 20 : southport \| unparished area \| 90336 \| sefton \| southport county borough row 21 : thornton \| civil parish \| 2262 \| sefton \| west lancashire rural district row 22 : billinge chapel end \| civil parish \| 6554 \| st helens \| billinge and winstanley urban district row 23 : eccleston \| civil parish \| 10528 \| st helens \| whiston rural district row 24 : haydock \| unparished area \| 15684 \| st helens \| haydock urban district row 25 : newton le willows \| unparished area \| 21418 \| st helens \| newton le willows urban district row 26 : rainford \| civil parish \| 8344 \| st helens \| rainford urban district row 27 : rainhill \| civil parish \| 11913 \| st helens \| whiston rural district row 28 : seneley green \| civil parish \| 6163 \| st helens \| ashton in makerfield urban district row 29 : st helens \| unparished area \| 91414 \| st helens \| st helens county row 30 : windle \| civil parish \| 2542 \| st helens \| whiston rural district row 31 : bebington \| unparished area \| 58226 \| wirral \| bebington municipal borough row 32 : birkenhead \| unparished area \| 103206 \| wirral \| birkenhead county borough row 33 : heswall \| unparished area \| 29977 \| wirral \| wirral urban district row 34 : hoylake \| unparished area \| 35655 \| wirral \| hoylake urban district row 35 : wallasey \| unparished area \| 84348 \| wirral \| wallasey county borough ] Execute this SQL based on the above table: select population where name = 'hightown'	2247.0
[ header: # \| title \| featured guest(s) \| producer(s) \| length row 1 : 1 \| "intro (skit)" \| None \| None \| 1:50 row 2 : 2 \| "zero" \| None \| lewis parker \| 4:01 row 3 : 3 \| "it's murda" \| None \| harry love \| 5:01 row 4 : 4 \| "jankrowville" \| None \| l. dolo \| 5:26 row 5 : 5 \| "parrowdice" \| kyza and skriblah \| harry love \| 5:52 row 6 : 6 \| "b 4 u die" \| kyza and skriblah \| joe buhdha \| 4:09 row 7 : 7 \| "all i got" \| None \| joe buhdha \| 4:00 row 8 : 8 \| "black rose" \| None \| joe buhdha \| 4:04 row 9 : 9 \| "lynching (skit)" \| None \| None \| 1:12 row 10 : 10 \| "our time" \| None \| lewis parker \| 3:56 row 11 : 11 \| "terra firma anthum (skit \| None \| None \| 0:52 row 12 : 12 \| "daggo mentality" \| None \| lewis parker \| 4:01 row 13 : 13 \| "neighbour (skit)" \| None \| None \| 0:46 row 14 : 14 \| "son of niah" \| None \| ac.war.ion \| 4:54 ] Execute this SQL based on the above table: select producer(s) where title = '"b 4 u die"'	joe buhdha
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : colusa \| 38.3% \| 2,314 \| 59.6% \| 3,601 \| 2.1% \| 130 \| 6,045 row 2 : contra costa \| 66.2% \| 290,824 \| 31.1% \| 136,517 \| 2.7% \| 11,804 \| 439,145 row 3 : del norte \| 43.4% \| 3,791 \| 52.8% \| 4,614 \| 3.8% \| 331 \| 8,736 row 4 : fresno \| 49.7% \| 129,129 \| 47.9% \| 124,490 \| 1.8% \| 6,078 \| 259,697 row 5 : imperial \| 65.2% \| 25,136 \| 33.2% \| 12,776 \| 1.6% \| 620 \| 38,532 row 6 : kern \| 40.5% \| 89,495 \| 57.3% \| 126,618 \| 2.2% \| 4,900 \| 221,013 row 7 : lassen \| 28.5% \| 3,053 \| 68.0% \| 7,296 \| 3.5% \| 376 \| 10,725 row 8 : madera \| 40.2% \| 16,018 \| 57.3% \| 22,852 \| 2.5% \| 996 \| 39,866 row 9 : merced \| 53.0% \| 33,005 \| 44.3% \| 27,581 \| 2.7% \| 1,636 \| 62,222 row 10 : modoc \| 27.7% \| 1,113 \| 69.1% \| 2,779 \| 3.2% \| 130 \| 4,022 row 11 : mono \| 52.9% \| 2,733 \| 44.2% \| 2,285 \| 2.9% \| 150 \| 5,168 row 12 : nevada \| 47.7% \| 24,663 \| 48.4% \| 24,986 \| 3.9% \| 2,026 \| 51,675 row 13 : placer \| 38.9% \| 66,818 \| 58.2% \| 99,921 \| 2.9% \| 4,972 \| 171,711 row 14 : plumas \| 39.9% \| 4,026 \| 56.8% \| 5,721 \| 3.3% \| 333 \| 10,080 row 15 : san bernardino \| 52.6% \| 305,109 \| 45.2% \| 262,358 \| 2.2% \| 13,136 \| 580,603 row 16 : san francisco \| 83.4% \| 301,723 \| 13.0% \| 47,076 \| 3.4% \| 12,996 \| 361,795 row 17 : san joaquin \| 55.6% \| 114,121 \| 41.9% \| 86,071 \| 2.5% \| 5,172 \| 205,364 row 18 : san luis obispo \| 48.6% \| 61,258 \| 47.6% \| 59,967 \| 3.8% \| 4,741 \| 125,966 row 19 : santa cruz \| 75.4% \| 90,805 \| 20.0% \| 24,047 \| 4.6% \| 5,533 \| 120,385 row 20 : sierra \| 36.3% \| 652 \| 58.7% \| 1,056 \| 5.0% \| 90 \| 1,798 row 21 : siskiyou \| 40.2% \| 8,044 \| 55.4% \| 11,076 \| 4.4% \| 870 \| 19,990 row 22 : solano \| 63.3% \| 96,783 \| 34.1% \| 52,092 \| 2.6% \| 3,965 \| 152,840 row 23 : stanislaus \| 49.9% \| 77,724 \| 47.1% \| 73,459 \| 3.0% \| 4,633 \| 155,816 row 24 : trinity \| 46.6% \| 2,674 \| 47.3% \| 2,716 \| 6.1% \| 349 \| 5,739 row 25 : tulare \| 41.2% \| 41,752 \| 56.2% \| 56,956 \| 2.6% \| 2,571 \| 101,279 row 26 : ventura \| 52.2% \| 170,929 \| 45.1% \| 147,958 \| 2.7% \| 8,825 \| 327,712 ] Execute this SQL based on the above table: select others where id > ( select id where others = '2.7%' ) limit 1	3.8%
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select ( select count ( opponent# ) where attendance = 17855 ) - ( select count ( opponent# ) where attendance = 36012 )	0
[ header: z \| element \| observed or predicted \| isolated (widely known) \| observer \| first isolator \| notes row 1 : 42 \| molybdenum \| 1778 \| 1781 \| w. scheele \| j. hjelm \| scheele recognised the metal as a constituent row 2 : 74 \| tungsten \| 1781 \| 1783 \| t. bergman \| j. and f. el \| bergman obtained from scheelite an row 3 : 58 \| cerium \| 1803 \| 1839 \| h. klaproth, j \| g. mosander \| berzelius and hisinger discovered the element row 4 : 3 \| lithium \| 1817 \| 1821 \| a. arfwedson \| w. t. brande \| arfwedson discovered the alkali row 5 : 35 \| bromine \| 1825 \| 1825 \| j. balard and l. \| j. balard and l. \| they both discovered the element in the autumn of 18 row 6 : 90 \| thorium \| 1829 \| None \| j. berzelius \| None \| berzelius obtained the oxide of a row 7 : 69 \| thulium \| 1879 \| 1879 \| t. cleve \| t. cleve \| cleve split marignac's er row 8 : 10 \| neon \| 1898 \| 1898 \| w. ramsay and w. \| w. ramsay and w. \| in june 1898 ramsay separated row 9 : 86 \| radon \| 1898 \| 1910 \| e. dorn \| w. ramsay and r. \| dorn discovered a radioactive gas row 10 : 89 \| actinium \| 1899 \| 1899 \| a.-l. debierne \| a.-l. debierne \| debierne obtained from pitchblende row 11 : 71 \| lutetium \| 1906 \| 1906 \| g. urbain and c.a. \| g. urbain and c.a. \| urbain and von welsbach proved independently that row 12 : 75 \| rhenium \| 1908 \| 1908 \| m. ogawa \| m. ogawa \| ogawa found it in thori ] Execute this SQL based on the above table: select z where first isolator = 'a.-l. debierne'	89
[ header: year \| order \| quantity \| ger nos. row 1 : 1893 \| n31 \| 1 \| 999 row 2 : 1893 \| h33 \| 10 \| 979-988 row 3 : 1894 \| l33 \| 10 \| 989-998 row 4 : 1894 \| e34 \| 10 \| 969-978 row 5 : 1896 \| n37 \| 10 \| 959-968 row 6 : 1897 \| h40 \| 10 \| 949-958 row 7 : 1897 \| o41 \| 10 \| 602-608, 946-948 row 8 : 1898 \| g42 \| 10 \| 542-551 row 9 : 1898 \| k43 \| 10 \| 562-571 ] Execute this SQL based on the above table: select count ( order ) where quantity != 10	1
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select count ( * ) where col height (m) < 8.700	0
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select date order by id desc limit 1	2000
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| world junior championships \| lisbon, portugal \| 2nd \| 5,000 m row 2 : 1995 \| all-africa games \| harare, zimbabwe \| 2nd \| 5,000 m row 3 : 1995 \| all-africa games \| harare, zimbabwe \| 2nd \| 10,000 m row 4 : 1997 \| world championships \| athens, greece \| 7th \| 10,000 m row 5 : 1999 \| all-africa games \| johannesburg, south africa \| 3rd \| 10,000 m row 6 : 2001 \| world championships \| edmonton, canada \| 9th \| 10,000 m ] Execute this SQL based on the above table: select count ( competition ) where venue <= 1052	0
[ header: category \| urban settlements \| population \| male \| female \| inhabited localities in jurisdiction row 1 : urban \| dzhebariki-khaya \| 1694 \| 844 (49.8%) \| 850 (50.2%) \| urban-type settlement of dzhebar row 2 : urban \| khandyga (ханд \| 6638 \| 3326 (49.8%) \| 3312 (50.2%) \| urban-type settlement of khandyg row 3 : rural \| bayagantaysky na \| 1823 \| 884 (48.5%) \| 939 (51.5%) \| selo of krest-khal row 4 : rural \| megino-aldansky n \| 1020 \| 490 (48.0%) \| 530 (52.0%) \| selo of megino-al row 5 : rural \| okhot-perevozovsky \| 142 \| 70 (49.3%) \| 72 (50.7%) \| selo of okhotsky-per row 6 : rural \| sasylsky na \| 555 \| 275 (49.5%) \| 280 (50.5%) \| selo of keskil row 7 : rural \| teploklyuchevsky \| 887 \| 447 (50.4%) \| 440 (49.6%) \| selo of teply row 8 : rural \| tomponsky national nasleg \| 915 \| 458 (50.1%) \| 457 (49.9%) \| selo of topolinoye row 9 : rural \| ynginsky nasleg \| 425 \| 217 (51.1%) \| 208 (48.9%) \| selo of novy selo ] Execute this SQL based on the above table: select inhabited localities in jurisdiction where inhabited localities in jurisdiction != 'urban-type settlement of dzhebariki-khaya' and category = ( select category where inhabited localities in jurisdiction = 'urban-type settlement of dzhebariki-khaya' )	urban-type settlement of khandyga (administrative centre of the district)
[ header: # \| prime minister \| date of birth \| start date of (first) term \| age at beginning of (first) term \| end date of (final) term \| total time in office \| date of death \| lifespan row 1 : 1 \| edmund barton \| 18 january 1849 \| 1-jan-01 \| 51 years, 348 days \| 24-sep-03 \| 996 days \| 7-jan-20 \| 25,920 days (70 years, 354 days row 2 : 2 \| alfred deakin \| 3 august 1856 \| 24-sep-03 \| 47 years, 52 days \| 29-apr-10 \| 1,774 days \| 7-oct-19 \| 23,074 days (63 years, 65 days row 3 : 3 \| chris watson \| 9 april 1867 \| 27-apr-04 \| 37 years, 18 days \| 18-aug-04 \| 113 days \| 18-nov-41 \| 27,251 days (74 years, 223 row 4 : 4 \| george reid \| 25 february 1845 \| 18-aug-04 \| 59 years, 175 days \| 5-jul-05 \| 321 days \| 12-sep-18 \| 26,861 days (73 years, 199 row 5 : 7 \| billy hughes \| 25 september 1862 \| 27-oct-15 \| 53 years, 32 days \| 9-feb-23 \| 2,662 days \| 28-oct-52 \| 32,905 days (90 years, 33 row 6 : 8 \| stanley bruce \| 15 april 1883 \| 9-feb-23 \| 39 years, 300 days \| 22-oct-29 \| 2,447 days \| 25-aug-67 \| 30,812 days (84 years, 132 row 7 : 9 \| james scullin \| 18 september 1876 \| 22-oct-29 \| 53 years, 34 days \| 6-jan-32 \| 806 days \| 28-jan-53 \| 27,890 days (76 years, 132 row 8 : 10 \| joseph lyons \| 15 september 1879 \| 6-jan-32 \| 52 years, 113 days \| 7-apr-39 \| 2,648 days \| 7-apr-39 \| 21,753 days (59 years, 204 row 9 : 11 \| earle page \| 8 august 1880 \| 7-apr-39 \| 58 years, 242 days \| 26-apr-39 \| 19 days \| 20-dec-61 \| 29,718 days (81 years, 134 row 10 : 12 \| robert menzies \| 20 december 1894 \| 26-apr-39 \| 44 years, 127 days \| 26-jan-66 \| 6,735 days \| 15-may-78 \| 30,461 days (83 years, 146 row 11 : 14 \| john curtin \| 8 january 1885 \| 7-oct-41 \| 56 years, 272 days \| 5-jul-45 \| 1,367 days \| 5-jul-45 \| 22,092 days (60 years, 178 row 12 : 15 \| frank forde \| 18 july 1890 \| 6-jul-45 \| 54 years, 353 days \| 13-jul-45 \| 7 days \| 28-jan-83 \| 33,796 days (92 years, 19 row 13 : 16 \| ben chifley \| 22 september 1885 \| 13-jul-45 \| 59 years, 294 days \| 19-dec-49 \| 1,620 days \| 13-jun-51 \| 24,004 days (65 years, 264 row 14 : 17 \| harold holt \| 5-aug-08 \| 26-jan-66 \| 57 years, 174 days \| 19-dec-67 \| 690 days \| 17-dec-67 \| 21,683 days (59 years, 134 ] Execute this SQL based on the above table: select date of death order by id asc limit 1	7-jan-20
[ header: name \| \| local names \| sort \| canton(s), neighboring countries \| area in km2 \| elevation m \| max. depth in meter row 1 : lake geneva \| None \| lac leman, lac de geneve \| geneva \| geneva, vaud, vala \| 580.03 \| 372 \| 310 row 2 : lake lucerne \| None \| vierwaldstattersee \| lucerne \| lucerne, nidwalden \| 113.72 \| 433.6 \| 214 row 3 : lake lugano \| None \| ceresio, lago di lug \| lugano \| ticino, italy \| 48.67 \| 270.5 \| 288 row 4 : lake thun \| None \| thunersee \| thun \| berne \| 47.74 \| 557.8 \| 215 row 5 : lake biel \| None \| lac de bienne, bielersee \| biel/bienne \| berne, neuchatel \| 39.51 \| 429.1 \| 74 row 6 : lake zug \| None \| zugersee \| zug \| lucerne, schwyz, \| 38.41 \| 413.6 \| 198 row 7 : lake murten \| None \| murtensee, lac de morat \| murten \| fribourg, vaud \| 22.8 \| 429.2 \| 46 row 8 : lake sempach \| None \| sempachersee \| sempach \| lucerne \| 14.36 \| 503.8 \| 87 row 9 : lago di livigno \| ↑ \| lago di livigno \| livignio \| italy, grisons \| 4.71 \| 1805 \| 119 row 10 : wagitalersee \| ↑ \| wagitalersee \| waegital \| schwyz \| 4.18 \| 900 \| 65 row 11 : lago di lei \| ↑ \| lago di lei \| lei \| italy, grisons \| 4.12 \| 1931 \| 133 row 12 : lake sils \| None \| silsersee, lej da se \| sils \| grisons \| 4.1 \| 1797 \| 71 row 13 : lac des dix \| ↑ \| lac des dix \| dix \| valais \| 3.65 \| 2365 \| 227 row 14 : lake wohlen \| ↑ \| wohlensee \| wohlen \| berne \| 3.65 \| 480 \| 20 row 15 : grimselsee \| ↑ \| grimselsee \| grimsel \| berne \| 2.63 \| 1908 \| 100 row 16 : lake lungern \| None \| lungerersee, lungernsee \| lungern \| obwalden \| 2.01 \| 688 \| 68 row 17 : lac de mauvoisin \| ↑ \| lac de mauvoisin \| mauvoisin \| valais \| 2.08 \| 1961 \| 180 row 18 : lago di vogorno \| ↑ \| lago di vogorno \| vogorno \| ticino \| 1.68 \| 470 \| 204 row 19 : zervreilasee \| ↑ \| zervreilasee \| zervreila \| grisons \| 1.61 \| 1862 \| 140 row 20 : oberaarsee \| ↑ \| oberaarsee \| oberaar \| berne \| 1.47 \| 2303 \| 90 row 21 : lac de moiry \| ↑ \| lac de moiry \| moiry \| valais \| 1.4 \| 2249 \| 120 row 22 : albigna lake \| ↑ \| lago da l'albigna \| albigna \| grisons \| 1.13 \| 2163 \| 108 ] Execute this SQL based on the above table: select sort order by area in km2 desc limit 1	geneva
[ 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 driver order by no desc limit 1	christijan albers
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select count ( date ) where archive of presentations = 'presentations, video' and place < ( select min ( place ) where archive of presentations = 'presentations, videos' )	1
[ 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 name where caps = 4	alan smith, paul merson
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select team where year > 2011	pepsi max crew
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| sebastien bourdais \| newman/haas racing \| 66 \| 1:51:31.146 \| 2 \| 34 row 2 : 2 \| 9 \| justin wilson \| rusport \| 66 \| +3.528 secs \| 1 \| 29 row 3 : 3 \| 5 \| will power \| team australia \| 66 \| +46.536 secs \| 4 \| 26 row 4 : 4 \| 2 \| bruno junqueira \| newman/haas racing \| 66 \| +1:04.023 \| 3 \| 23 row 5 : 5 \| 15 \| alex tagliani \| team australia \| 66 \| +1:18.033 \| 8 \| 22 row 6 : 6 \| 6 \| oriol servia \| pkv racing \| 66 \| +1:28.745 \| 7 \| 19 row 7 : 7 \| 4 \| nelson philippe \| cte racing - hv \| 66 \| +1:29.997 \| 10 \| 17 row 8 : 8 \| 27 \| andrew ranger \| mi-jack conquest racing \| 65 \| + 1 lap \| 16 \| 16 row 9 : 9 \| 3 \| david martinez \| forsythe racing \| 65 \| + 1 lap \| 9 \| 13 row 10 : 10 \| 7 \| buddy rice \| forsythe racing \| 65 \| + 1 lap \| 14 \| 11 row 11 : 11 \| 34 \| charles zwolsman \| mi-jack conquest racing \| 65 \| + 1 lap \| 12 \| 10 row 12 : 12 \| 18 \| antonio pizzonia \| rocketsports racing \| 65 \| + 1 lap \| 15 \| 9 row 13 : 13 \| 11 \| jan heylen \| dale coyne racing \| 65 \| + 1 lap \| 17 \| 8 row 14 : 14 \| 10 \| ryan briscoe \| rusport \| 64 \| + 2 laps \| 5 \| 7 row 15 : 15 \| 19 \| andreas wirth \| dale coyne racing \| 64 \| + 2 laps \| 18 \| 6 row 16 : 16 \| 20 \| katherine legge \| pkv racing \| 63 \| + 3 laps \| 13 \| 5 row 17 : 17 \| 8 \| mario dominguez \| rocketsports racing \| 59 \| retired \| 11 \| 4 row 18 : 18 \| 14 \| dan clarke \| cte racing - hv \| 7 \| differential \| 6 \| 3 ] Execute this SQL based on the above table: select team where team = 'newman/haas racing' order by team limit 1	newman/haas racing
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select date where date not null order by id desc limit 1	january 1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select loss where # > 88 order by # asc limit 1	jackson (5-5)
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select count ( club ) where established > 1962	7
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select club where club = 'darlington (loan)' order by league cup apps asc limit 1	darlington (loan)
[ header: year \| artist \| album \| chart position \| role row 1 : 1961 \| eddie harris \| "exodus" (single) \| #16 r&b, #36 us \| remastering engineer row 2 : 1968 \| eddie harris \| "it's crazy" (single \| #88 us \| remastering engineer row 3 : 1969 \| eddie harris & \| swiss movement \| #1 jazz, #2 r&b, # \| remixing & remastering engineer row 4 : 1969 \| r.b. greaves \| r.b. greaves \| #24 r&b, #85 us \| mixing engineer row 5 : 1971 \| eddie harris & \| second movement \| #1 jazz, # 41 us \| recording and remastering engineer row 6 : 1971 \| les mccann \| invitation to openness \| #8 jazz \| remastering engineer row 7 : 1971 \| donny hathaway \| donny hathaway \| #6 r&b, #89 us \| recording engineer row 8 : 1972 \| roberta flack & \| roberta flack & \| #3 us, #2 r&b, # \| recording engineer row 9 : 1972 \| cream \| live cream volume ii \| #27 us \| remixing engineer row 10 : 1972 \| herbie mann \| hold on, i'm coming \| #7 jazz \| mixing engineer row 11 : 1973 \| bette midler \| bette midler \| #6 us \| recording engineer row 12 : 1973 \| hall & oates \| abandoned luncheonette \| #33 us \| recording engineer row 13 : 1973 \| willie nelson \| shotgun willie \| #41 us \| recording engineer row 14 : 1973 \| les mccann \| layers \| #5 jazz \| remastering engineer row 15 : 1973 \| the modern jazz quartet \| blues on bach \| #34 jazz \| recording and mixing engineer row 16 : 1973 \| donny hathaway \| extension of a man \| #18 r&b, #69 us \| recording engineer row 17 : 1973 \| bee gees \| mr. natural \| #178 us \| recording engineer row 18 : 1974 \| the modern jazz quartet \| the complete last concert \| #34 jazz \| mixing engineer row 19 : 1976 \| the rolling stones \| black and blue \| #1 us \| recording engineer row 20 : 1976 \| willie nelson \| the troublemaker \| #1 country, #60 us \| recording engineer row 21 : 1979 \| bette midler \| thighs and whispers \| #65 us \| recording engineer row 22 : 1983 \| paul simon \| hearts and bones \| #35 us \| recording engineer row 23 : 1993 \| david "fathead" newman \| bigger & better \| #10 jazz, #42 r&b \| remastering engineer row 24 : 1998 \| various artists \| jazz for the open road \| #1 jazz \| mastering engineer row 25 : 1998 \| various artists \| jazz for the quiet times \| #1 jazz \| mastering engineer row 26 : 1999 \| various artists \| jazz for when you're alone \| #1 jazz \| mastering engineer row 27 : 1999 \| various artists \| jazz for a lazy day \| #4 jazz \| mastering engineer row 28 : 2000 \| various artists \| jazz for a rainy afternoon \| #1 jazz \| mastering engineer row 29 : 2000 \| jane monheit \| never never land \| #2 jazz \| mixing & mastering engineer row 30 : 2000 \| various artists \| jazz for when you're in love \| #9 jazz \| mastering engineer row 31 : 2001 \| jane monheit \| come dream with me \| #1 jazz \| mixing & mastering engineer row 32 : 2002 \| jane monheit \| in the sun \| #2 jazz \| recording, mixing & mastering engineer row 33 : 2003 \| various artists \| jazz for those peaceful moments \| #4 jazz \| mastering engineer row 34 : 2007 \| mocean worker \| cinco de mowo! \| #16 electronic \| mastering engineer ] Execute this SQL based on the above table: select album where artist = 'eddie harris & les mccann'	swiss movement, second movement
[ header: year \| div. \| pos. \| cup \| top scorer (league) \| score row 1 : 2003 \| uzl \| 12th \| 1/4 \| None \| None row 2 : 2004 \| uzl \| 7th \| 1/4 \| rahmat inogamov \| 8 row 3 : 2005 \| uzl \| 12th \| 1/2 \| alisher kholiqov \| 6 row 4 : 2006 \| uzl \| 11th \| 1/4 \| alisher kholiqov \| 9 row 5 : 2007 \| uzl \| 9th \| r16 \| None \| None row 6 : 2008 \| uzl \| 15th \| 1/4 \| lochin soliev \| 8 row 7 : 2009 \| uzl \| 15th \| 1/4 \| None \| None row 8 : 2010 \| 1st \| 1st \| r32 \| abdulatif juraev \| 27 row 9 : 2011 \| uzl \| 9th \| r32 \| sukhrob nematov \| 7 row 10 : 2012 \| uzl \| 7th \| 1/2 \| vokhid shodiev \| 5 row 11 : 2013 \| uzl \| 6th \| r16 \| vokhid shodiev \| 12 ] Execute this SQL based on the above table: select count ( cup ) where score > 766	0
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select champion where id = ( select id where runner-up = 'keshminder singh' and champion = 's raj' ) + 1	robert calupit
[ header: title \| release \| 6th gen \| handheld \| note row 1 : buggy grand prix: kattobi! \| 2003 \| playstation 2 \| None \| None row 2 : gunbird special edition / gunbird 1& \| 2004 \| playstation 2 \| None \| None row 3 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| released and published in europe by play it as row 4 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 5 : psikyo shooting collection vol. \| 2004 \| playstation 2 \| None \| None row 6 : taisen hot gimmick \| 2004 \| playstation 2 \| None \| None row 7 : sengoku cannon \| 2005 \| None \| psp \| None row 8 : taisen hot gimmick \| 2005 \| playstation 2 \| None \| None ] Execute this SQL based on the above table: select 6th gen where release = ( select release where 6th gen = 'playstation 2' ) + 1	playstation 2, playstation 2, playstation 2, playstation 2, playstation 2
[ header: constituency \| region \| name \| party \| last elected row 1 : 1 \| arica and parinacota tarapac \| fulvio rossi \| ps \| 2009 row 2 : 2 \| antofagasta \| carlos cantero ojeda \| ind \| 2005 row 3 : 2 \| antofagasta \| jose antonio gomez \| prsd \| 2005 row 4 : 3 \| atacama \| isabel allende \| ps \| 2009 row 5 : 4 \| coquimbo \| gonzalo uriarte \| udi \| 2005 row 6 : 5 \| valparaiso \| ignacio walker \| pdc \| 2009 row 7 : 5 \| valparaiso \| lily perez \| rn \| 2009 row 8 : 6 \| valparaiso \| ricardo l. weber \| ppd \| 2009 row 9 : 6 \| valparaiso \| francisco chahuan \| rn \| 2009 row 10 : 7 \| santiago \| jovino novoa vasque \| udi \| 2005 row 11 : 8 \| santiago \| soledad alvear valenzue \| pdc \| 2005 row 12 : 9 \| o'higgins \| alejandro garcia-huidobro \| udi \| 2005 row 13 : 9 \| o'higgins \| juan pablo letelier morel \| ps \| 2005 row 14 : 10 \| maule \| ximena rincon \| pdc \| 2009 row 15 : 10 \| maule \| juan antonio colo \| udi \| 2009 row 16 : 11 \| maule \| hernan larrain fernandez \| udi \| 2009 row 17 : 12 \| biobio \| hosain sabag castill \| pdc \| 2005 row 18 : 13 \| biobio \| mariano ruiz-es \| pdc \| 2005 row 19 : 14 \| araucania \| jaime quintana \| ppd \| 2009 row 20 : 14 \| araucania \| alberto espina otero \| rn \| 2009 row 21 : 15 \| araucania \| eugenio tuma \| ppd \| 2009 row 22 : 15 \| araucania \| jose garcia ruminot \| rn \| 2009 row 23 : 16 \| los rios (plus district 55) \| carlos larrain pena \| rn \| 2005 row 24 : 16 \| los rios (plus district 55) \| eduardo frei rui \| pdc \| 2005 row 25 : 17 \| los lagos (minus district 55) \| camilo escalona medin \| ps \| 2005 row 26 : 17 \| los lagos (minus district 55) \| carlos kuschel silva \| rn \| 2005 row 27 : 18 \| aisen \| patricio walker \| pdc \| 2009 row 28 : 18 \| aisen \| antonio horvath \| rn \| 2001 row 29 : 19 \| magallanes \| carlos bianchi chelech (vic \| ind \| 2005 row 30 : 19 \| magallanes \| pedro munoz abur \| ps \| 2005 ] Execute this SQL based on the above table: select region order by last elected - party desc limit 1	arica and parinacota tarapaca
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 9 \| 0 \| 0 \| 9 row 2 : 2 \| argentina \| 0 \| 7 \| 1 \| 8 row 3 : 3 \| uruguay \| 0 \| 1 \| 4 \| 5 row 4 : 4 \| dominican republic \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chile \| 0 \| 0 \| 1 \| 1 row 6 : 5 \| greenland \| 0 \| 0 \| 1 \| 1 row 7 : 5 \| paraguay \| 0 \| 0 \| 1 \| 1 row 8 : 5 \| puerto rico \| 0 \| 0 \| 1 \| 1 row 9 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select nation where bronze < ( select bronze where nation = 'chile' ) order by bronze desc limit 1	brazil
[ header: pick \| player \| country of origin \| pba team \| college row 1 : 1 \| danilo ildefons \| philippines \| formula shell zoom masters \| national row 2 : 2 \| noy castillo \| united states \| san miguel beermen \| the citadel row 3 : 3 \| ali peek \| united states \| pop cola 800s \| saint mary row 4 : 4 \| brixter encarnacion \| philippines \| pop cola 800s \| san sebastian row 5 : 5 \| william antonio \| united states \| san miguel beermen \| chaminade university row 6 : 6 \| banjo calpito \| philippines \| sta. lucia realtors \| san sebastian row 7 : 7 \| henry fernandez \| philippines \| purefoods carne norte beefies \| visayas row 8 : 8 \| steven smith \| united states \| gordon's gin boar \| united states international university ] Execute this SQL based on the above table: select sum ( pick )	36.0
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents \| score row 1 : winner \| 1 \| april 18, 2004 \| jackson, united states \| clay \| alisa kleybanova \| cory ann avants kristen \| 6-2, 6-3 row 2 : runner-up \| 1 \| september 26, 2004 \| albuquerque, united states \| hard \| maria emilia salern \| maureen drake carly gul \| 3-6, 6-7(6-8) row 3 : winner \| 2 \| march 27, 2005 \| redding, united states \| hard \| yulia beygelzimer \| leanne baker francesca lub \| 6-4, 6-7(1-7), row 4 : runner-up \| 2 \| may 8, 2005 \| raleigh, united states \| clay \| maria fernanda alves \| ashley harkleroad lindsay \| 2-6, 6-0, 3-6 row 5 : runner-up \| 3 \| march 19, 2006 \| orange, united states \| hard \| lilia osterloh \| kateryna bondarenko alon \| 2-6, 4-6 row 6 : winner \| 3 \| november 12, 2006 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| ashley harkleroad galina \| 6-4, 5-7, 6-1 row 7 : runner-up \| 4 \| february 11, 2007 \| midland, united states \| hard (i) \| maureen drake \| laura granville abigail spears \| 4-6, 6-3, 3-6 row 8 : runner-up \| 5 \| july 7, 2007 \| southlake, united states \| hard \| valerie tetreault \| surina de beer kim grant \| 6-4, 4-6, 4-6 row 9 : winner \| 4 \| july 22, 2007 \| hamilton, canada \| clay \| surina de beer \| michaela johansson pa \| walkover row 10 : winner \| 5 \| august 4, 2007 \| vancouver, canada \| hard \| marie-eve pelletier \| soledad esperon agustin \| 6-4, 6-4 row 11 : winner \| 6 \| october 21, 2007 \| lawrenceville, united states \| hard \| alisa kleybanova \| leanne baker julie ditty \| 6-2, 6-0 row 12 : winner \| 7 \| november 12, 2007 \| pittsburgh, united states \| hard (i) \| alisa kleybanova \| raquel kops-jones \| 6-4, 4-6, [10-6] row 13 : runner-up \| 6 \| april 27, 2008 \| dothan, united states \| clay \| maria fernanda alves \| tetiana luzhan \| 1-6, 3-6 row 14 : winner \| 8 \| october 18, 2008 \| toronto, canada \| hard (i) \| marie-eve pelletier \| nikola frankova carmen \| 6-4, 6-2 row 15 : runner-up \| 7 \| september 27, 2009 \| saguenay, canada \| hard (i) \| rebecca marino \| sofia arvidsson s \| 3-6, 1-6 row 16 : runner-up \| 8 \| april 13, 2013 \| poza rica, mexico \| hard \| olga savch \| maria fernanda alvarez \| 2-6, 3-6 ] Execute this SQL based on the above table: select opponents order by no. limit 1	cory ann avants kristen schlukebir
[ header: name \| rank - 2000 \| number \| country of origin \| england - 2001 row 1 : smith \| 1 \| 2376207 \| england, scotland \| smith row 2 : johnson \| 2 \| 1857160 \| england \| jones row 3 : williams \| 3 \| 1534042 \| england, wales \| taylor row 4 : brown \| 4 \| 1380145 \| england, ireland, \| brown row 5 : jones \| 5 \| 1362755 \| england, wales \| williams row 6 : miller \| 6 \| 1127803 \| england, ireland, \| wilson row 7 : davis \| 7 \| 1072335 \| england, wales \| johnson row 8 : garcia \| 8 \| 858289 \| spain \| davies row 9 : rodriguez \| 9 \| 804240 \| spain \| robinson row 10 : wilson \| 10 \| 783051 \| england, scotland \| wright ] Execute this SQL based on the above table: select country of origin where england - 2001 < ( select england - 2001 where country of origin = 'england, scotland' and name = 'wilson' ) order by england - 2001 desc limit 1	england, ireland, or scotland (miller can be the anglicized version of mueller/muller - a surname from germany)
[ header: city served / location \| province \| icao \| iata \| airport name \| usage row 1 : perouges / meximieux \| \| lfhc \| None \| perouges - meximieux aero \| public row 2 : vichy / charmeil \| \| lflv \| vhy \| vichy - charmeil airport \| public row 3 : bar-sur-seine \| \| lffr \| None \| bar-sur-seine aerodrome \| restricted row 4 : 12: aveyron \| \| None \| None \| None \| None row 5 : conde-sur-noireau \| \| lfan \| None \| conde-sur-noireau aerod \| None row 6 : deauville / saint-gatien \| \| lfrg \| dol \| deauville - saint-gatien \| public row 7 : rochefort / saint-a \| \| lfdn \| rco \| rochefort - saint-a \| public/mil row 8 : rochefort / soubis \| \| lfxr \| None \| rochefort - soubis \| None row 9 : figari sud-corse \| \| lfkf \| fsc \| figari sud-corse airport ( \| public row 10 : saint-brieuc / armor \| \| lfrt \| sbk \| saint-brieuc - armor airport \| public row 11 : besancon / thise \| \| lfsa \| None \| besancon - thise airport \| public row 12 : 27: eure \| \| None \| None \| None \| None row 13 : landivisiau \| \| lfrj \| ldv \| landivisiau air base \| military row 14 : nimes / garons \| \| lftw \| fni \| nimes-ales-camargue \| public row 15 : 31: haute-garonne \| \| None \| None \| None \| None row 16 : revel / montgey \| \| lfir \| None \| revel - montgey aerodrome \| restricted row 17 : grenoble / saint-geoir \| \| lfls \| gnb \| grenoble-isere airport \| public row 18 : 44: loire-atlantique \| \| None \| None \| None \| None row 19 : saumur / saint-florent \| \| lfod \| xsu \| saumur - saint-hilaire \| public row 20 : avranches / le val \| \| lfrw \| None \| avranches - le val \| restricted row 21 : nancy / malzeville \| \| lfez \| None \| nancy - malzeville aerod \| restricted row 22 : pont-saint-vincent \| \| lfsv \| None \| pont-saint-vincent aero \| restricted row 23 : lorient / lann / \| \| lfrh \| lrt \| lorient south brittany airport ( \| government row 24 : strasbourg / entzheim \| \| lfst \| sxb \| strasbourg airport (ba 124) \| public/mil row 25 : colmar / houssen \| \| lfga \| cmr \| colmar - houssen airport \| public row 26 : meribel \| \| lfkx \| mfx \| meribel aerodrome \| restricted ] Execute this SQL based on the above table: select city served / location order by province limit 1	perouges / meximieux
[ header: year \| title \| lead vocalist \| aria chart position \| album row 1 : 1985 \| "time out (for serious fun)" \| sandi chick \| None \| None row 2 : 1985 \| "sweat it out" \| peter blakeley \| None \| None row 3 : 1987 \| "rhymes" \| john kenny \| None \| tales of the city row 4 : 1987 \| "new groove" \| john kenny \| None \| tales of the city row 5 : 1988 \| "what's it gonna be" \| john kenny \| None \| tales of the city row 6 : 1988 \| "jump" \| wendy matthews \| None \| tales of the city row 7 : 1988 \| "dreams in the empty city" \| john kenny \| None \| tales of the city row 8 : 1988 \| "boogietron" \| ensemble \| None \| tales of the city row 9 : 1991 \| "ain't no sunshine" \| deni hines \| 5 \| form 1 planet row 10 : 1992 \| "that word (l.o.v. \| deni hines \| 4 \| form 1 planet row 11 : 1992 \| "it's not over" \| deni hines \| 15 \| form 1 planet row 12 : 1992 \| "stronger together" \| doug williams \| None \| form 1 planet row 13 : 1992 \| "love's gonna bring you home \| doug williams \| None \| form 1 planet row 14 : 1993 \| "form one planet" \| eric sebastian \| None \| form 1 planet row 15 : 2002 \| "all i want is you" \| jeremy gregory \| 41 \| rockies 3 row 16 : 2002 \| "i ain't playin' \| roxane lebrasse \| 79 \| rockies 3 row 17 : 2002 \| "police woman 2002" (with groove quant \| None \| None \| None ] Execute this SQL based on the above table: select year where album = 'tales of the city' and album + lead vocalist = 0	1987, 1987, 1988, 1988, 1988, 1988
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini = termini where termini = 'balboa park station' and termini = 'embarcadero station'	0, 0
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select count ( animal type ) where name = 'woof'	1
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : republican \| 13916 \| 5342 \| 19258 \| 25.61% row 2 : democratic \| 21493 \| 7115 \| 28608 \| 38.05% row 3 : unaffiliated \| 20118 \| 7062 \| 27180 \| 36.15% row 4 : minor parties \| 100 \| 40 \| 140 \| 0.19% row 5 : total \| 55627 \| 19559 \| 75186 \| 100% ] Execute this SQL based on the above table: select total voters order by active voters desc limit 1	75186.0
[ header: service \| service id \| bit rate \| audio channels \| description \| analogue availability row 1 : capital yorkshire \| c3aa \| 128 kbit/s \| joint stereo \| dance and r'n'b \| 105.1 mhz (south row 2 : choice fm \| c0ce \| 128 kbit/s \| joint stereo \| r'n'b and hip-hop \| None row 3 : heart london \| cccd \| 128 kbit/s \| joint stereo \| adult contemporary \| None row 4 : gold \| c2ce \| 64 kbit/s \| mono lsf \| oldies, 60s, 70s, 80 \| None row 5 : real radio (yorkshire) \| c3a4 \| 128 kbit/s \| joint stereo \| contemporary \| 106.2 mhz (south row 6 : real radio xs \| c8c5 \| 128 kbit/s \| joint stereo \| classic rock \| None row 7 : ucb gospel \| ced0 \| 64 kbit/s \| mono lsf \| christian \| None row 8 : ucb inspirational \| cfd0 \| 64 kbit/s \| mono lsf \| christian \| None row 9 : xfm \| c0b8 \| 128 kbit/s \| joint stereo \| indie / alternative / rock music \| None row 10 : yorkshire radio \| cfcd \| 128 kbit/s \| joint stereo \| pop music and sport \| None row 11 : dab guide \| e1c000a9 \| 8 kbit/s \| data \| hidden service, epg data \| None ] Execute this SQL based on the above table: select service id where service id != 'cccd' and bit rate = ( select bit rate where service id = 'cccd' )	c3aa, c0ce, c3a4, c8c5, c0b8, cfcd
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select percentage of votes where percentage of votes in ( '12.2%' , '32.6%' ) order by singing position desc limit 1	32.6%
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select sum ( year )	16033
[ header: rank \| urban area \| population (2001 census) \| area (km2) \| density (people/km2) \| major subdivisions \| metropolitan area row 1 : 1 \| greater glasgow \| 1,168,270 \| 368.47 \| 3,171.0 \| glasgow, paisley, coat \| glasgow row 2 : 2 \| edinburgh \| 452,194 \| 120.11 \| 3,765.0 \| edinburgh, musselburg \| edinburgh row 3 : 3 \| aberdeen \| 197,328 \| 60.94 \| 3,238 \| aberdeen, cove bay, d \| aberdeen row 4 : 4 \| dundee \| 154,674 \| 67 \| 3,298 \| dundee \| dundee row 5 : 5 \| falkirk \| 91,402 \| 36.1 \| 2,532 \| falkirk, grangemouth, car \| falkirk row 6 : 6 \| east kilbride \| 73,796 \| 24.12 \| 3,060 \| east kilbride \| glasgow row 7 : 7 \| greenock \| 73,595 \| 20.69 \| 3,557 \| greenock, gourock, port glas \| glasgow row 8 : 8 \| blantyre/hamilton \| 65,874 \| 22.63 \| 2,911 \| blantyre, hamilton \| glasgow row 9 : 9 \| ayr/prestwick \| 61,365 \| 23.57 \| 2,604 \| ayr, prestwick \| ayr row 10 : 10 \| livingston \| 59,511 \| 26.07 \| 2,283 \| livingston, east calder, mid calder \| edinburgh ] Execute this SQL based on the above table: select area (km2) where area (km2) in ( '24.12' , '23.57' ) order by density (people/km2) desc limit 1	24.12
[ header: year \| game of the year \| abstract strategy \| advanced strategy \| family \| family card \| family strategy \| party \| puzzle \| word \| historical simulation \| other row 1 : 1992 \| pipeline \| terrace \| None \| showdown yahtzee \| arcade: super tetris \| real-life strategy: d-day \| humm...ble \| heaven & earth \| wordsters \| adventure: the lost files of sherlock \| trivia: times to remember row 2 : 1993 \| inklings \| char \| None \| perpetual notion \| arcade: ecco the dolphin \| real-life: civilization \| oodles \| the incredible machine \| pick two! \| adventure: return to zork \| trivia: celebrity challenge row 3 : 1994 \| myst \| the game of y \| wargames: v for victory \| peg poker \| arcade: lode runner: the legend returns \| real-life strategy: x-com: \| the doonesbury game \| breakthru! \| boggle master \| adventure: the elder scrolls: arena \| trivia: quote unquote row 4 : 1995 \| sharp shooters \| strategy: quixo \| conflict: colonial diplomacy \| touche \| phantoms of the ice \| sports: dynasty league baseball \| catch phrase \| lights out \| pre.fix \| adventure & role playing: dragon dice: battle \| trivia: chronicles ccg: on row 5 : 1997 \| 25 words or less \| transpose \| strategy & conflict: field command \| mole in the hole \| take 6 \| priceless \| last chance \| deluxe lights out \| bethump'd with words \| adventure & role-playing: dragonl \| trivia: origins row 6 : 1998 \| quoridor \| balanx \| strategy & conflict: princess ryan' \| take it easy \| get the goods \| quandary \| wise and otherwise \| lost in a jigsaw \| a to z \| None \| trivia: director's cut ccg row 7 : 1999 \| fossil \| gipf \| conflict: atlantic storm \| montgolfiere \| bohnanza \| el grande \| say when!! \| stormy seas \| alpha blitz \| None \| trivia: where in time is carmen s row 8 : 2000 \| torres \| octi \| memory: mamma mia \| moonshot \| buried treasure \| tikal \| apples to apples \| ricochet robot \| double quick! \| None \| trivia: bioviva ccg: row 9 : 2001 \| aladdin's dragons \| zertz \| the princes of florence \| cafe international \| hellrail \| web of power \| democrazy \| lunar lockout \| None \| paths of glory \| two-player card: caesar row 10 : 2002 \| evo \| morisi \| java \| africa \| babel \| lord of the rings \| hilarium \| flip-it! \| my word! \| drive on paris \| manual dexterity: space game row 11 : 2004 \| new england \| clans \| wildlife \| i'm the boss! \| queen's necklace \| zoosim \| party/trivia: dibs \| river crossing \| crossword pyramids \| hammer of the scots \| two-player card: balloon cup row 12 : 2005 \| buyword \| yinsh \| tahuantinsuy \| vanished planet \| victory & honor \| alexandros \| party/trivia: cranium ho \| None \| None \| memoir '44 \| None ] Execute this SQL based on the above table: select count ( other ) where year < ( select year where other = 'two-player card: balloon cup' )	10
[ header: parish \| locality \| parish priest \| founded \| closed row 1 : st mary \| bacup \| fr frank thorpe \| 1852 \| None row 2 : our immaculate mother & st \| whitworth \| fr frank thorpe \| 1860 \| None row 3 : st joseph \| stacksteads \| None \| 1947 \| 2005 row 4 : st joseph & \| newchurch-in-rossendale \| fr philip boast \| 1915 \| None row 5 : the immaculate conception \| haslingden \| fr canon john mackie \| 1854 \| None row 6 : st veronica (chapel of \| helmshore \| served from the immaculate conception \| 1959 \| None row 7 : st james the less \| rawtenstall \| fr david lupton, rural de \| 1828 \| None ] Execute this SQL based on the above table: select founded where locality = 'rawtenstall'	1828
[ header: round \| # \| player \| position \| nationality \| college/junior/club team (league) row 1 : 1 \| 7 \| kyle okposo \| right wing \| united states \| des moines buccaneers (ushl row 2 : 2 \| 60 \| jesse joensuu \| wing \| finland \| assat (sm-liiga row 3 : 3 \| 70 \| robin figren \| wing \| sweden \| frolunda hc (e row 4 : 4 \| 100 \| rhett rakhshan \| right wing \| united states \| university of denver(ncaa) row 5 : 4 \| 108 \| jase weslosky \| goalie \| canada \| sherwood park crusaders ( row 6 : 4 \| 115 \| tomas marcinko \| center \| slovakia \| hc kosice (slovak row 7 : 4 \| 119 \| doug rogers \| center \| united states \| saint sebastian's school (independent row 8 : 5 \| 141 \| kim johansson \| wing \| sweden \| malmo jr row 9 : 6 \| 160 \| andrew macdonald \| defenceman \| canada \| moncton wildcats (qm row 10 : 6 \| 171 \| brian day \| right wing \| united states \| governor dummer (independent school league) row 11 : 6 \| 173 \| stefan ridderwall \| goalie \| sweden \| djurgarden jr. ( row 12 : 7 \| 190 \| troy mattila \| left wing \| united states \| springfield jr. blues (nah ] Execute this SQL based on the above table: select count ( * ) where player = 'brian day'	1
[ header: rank \| athlete \| country \| time \| behind \| points row 1 : 1 \| sven kramer \| netherlands \| 01:53.98 \| 0 \| 37.993 row 2 : 2 \| sverre lunde peder \| norway \| 1:54.87 \| 0.89 \| 38.29 row 3 : 3 \| jan blokhuijsen \| netherlands \| 1:54.93 \| 0.95 \| 38.31 row 4 : 4 \| denis yuskov \| russia \| 1:55.13 \| 1.15 \| 38.376 row 5 : 5 \| koen verweij \| netherlands \| 1:55.42 \| 1.44 \| 38.473 row 6 : 6 \| haralds silovs \| latvia \| 1:55.48 \| 1.5 \| 38.493 row 7 : 7 \| zbigniew brodka \| poland \| 1:55.98 \| 2 \| 38.66 row 8 : 8 \| bart swings \| belgium \| 1:56.08 \| 2.1 \| 38.693 row 9 : 9 \| havard bøkko \| norway \| 1:56.35 \| 2.37 \| 38.783 row 10 : 10 \| jan szymanski \| poland \| 1:56.55 \| 2.57 \| 38.85 row 11 : 11 \| bram smallenbroek \| austria \| 1:57.44 \| 3.46 \| 39.146 row 12 : 12 \| alexis contin \| france \| 1:57.58 \| 3.6 \| 39.193 row 13 : 13 \| benjamin mace \| france \| 1:57.80 \| 3.82 \| 39.266 row 14 : 14 \| konrad niedzwiedzki \| poland \| 1:57.92 \| 3.94 \| 39.306 row 15 : 15 \| sergey gryaztso \| russia \| 1:58.73 \| 4.75 \| 39.576 row 16 : 16 \| patrick beckert \| germany \| 1:59.08 \| 5.1 \| 39.693 row 17 : 17 \| kristian reistad \| norway \| 1:59.19 \| 5.21 \| 39.73 row 18 : 18 \| luca stefani \| italy \| 1:59.82 \| 5.84 \| 39.94 row 19 : 19 \| marco cignini \| italy \| 1:59.97 \| 5.99 \| 39.99 row 20 : 20 \| ferre spruyt \| belgium \| 2:00.00 \| 6.02 \| 40 row 21 : 21 \| vitaly mikhailov \| belarus \| 2:00.75 \| 6.77 \| 40.52 row 22 : 22 \| milan sablik \| czech republic \| 2:00.95 \| 6.97 \| 40.316 row 23 : 23 \| ted jan bloemen \| netherlands \| 2:01.58 \| 7.6 \| 40.526 row 24 : 24 \| moritz geisreiter \| germany \| 2:01.64 \| 7.66 \| 40.566 ] Execute this SQL based on the above table: select count ( * ) where athlete <= 1179	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| nigel mansell \| williams-renault \| 65 \| 1:56:10.674 \| 1 \| 10 row 2 : 2 \| 19 \| michael schumacher \| benetton-ford \| 65 \| + 23.914 \| 2 \| 6 row 3 : 3 \| 27 \| jean alesi \| ferrari \| 65 \| + 26.462 \| 8 \| 4 row 4 : 4 \| 2 \| gerhard berger \| mclaren-honda \| 65 \| + 1:20.647 \| 7 \| 3 row 5 : 5 \| 9 \| michele alboreto \| footwork-mugen-honda \| 64 \| + 1 lap \| 16 \| 2 row 6 : 6 \| 22 \| pierluigi martini \| dallara-ferrari \| 63 \| + 2 laps \| 13 \| 1 row 7 : 7 \| 10 \| aguri suzuki \| footwork-mugen-honda \| 63 \| + 2 laps \| 19 \| None row 8 : 8 \| 16 \| karl wendlinger \| march-ilmor \| 63 \| + 2 laps \| 9 \| None row 9 : 9 \| 1 \| ayrton senna \| mclaren-honda \| 62 \| spun off \| 3 \| None row 10 : 10 \| 28 \| ivan capelli \| ferrari \| 62 \| spun off \| 5 \| None row 11 : 11 \| 23 \| christian fittipaldi \| minardi-lamborghini \| 61 \| + 4 laps \| 22 \| None row 12 : 12 \| 17 \| paul belmondo \| march-ilmor \| 61 \| + 4 laps \| 23 \| None row 13 : ret \| 21 \| jj lehto \| dallara-ferrari \| 56 \| spun off \| 12 \| None row 14 : ret \| 15 \| gabriele tarquini \| fondmetal-ford \| 56 \| spun off \| 18 \| None row 15 : ret \| 11 \| mika hakkinen \| lotus-ford \| 56 \| spun off \| 21 \| None row 16 : ret \| 26 \| erik comas \| ligier-renault \| 55 \| spun off \| 10 \| None row 17 : ret \| 29 \| bertrand gachot \| larrousse-lamborghini \| 35 \| engine \| 24 \| None row 18 : ret \| 3 \| olivier grouillard \| tyrrell-ilmor \| 30 \| spun off \| 15 \| None row 19 : ret \| 24 \| gianni morbidelli \| minardi-lamborghini \| 26 \| handling \| 25 \| None row 20 : ret \| 33 \| mauricio gugelmin \| jordan-yamaha \| 24 \| spun off \| 17 \| None row 21 : ret \| 14 \| andrea chiesa \| fondmetal-ford \| 22 \| spun off \| 20 \| None row 22 : ret \| 6 \| riccardo patrese \| williams-renault \| 19 \| spun off \| 4 \| None row 23 : ret \| 12 \| johnny herbert \| lotus-ford \| 13 \| spun off \| 26 \| None row 24 : ret \| 25 \| thierry boutsen \| ligier-renault \| 11 \| engine \| 14 \| None row 25 : ret \| 20 \| martin brundle \| benetton-ford \| 4 \| spun off \| 6 \| None row 26 : ret \| 4 \| andrea de cesaris \| tyrrell-ilmor \| 2 \| engine \| 11 \| None row 27 : dnq \| 30 \| ukyo katayama \| larrousse-lamborghini \| None \| None \| None \| None row 28 : dnq \| 32 \| stefano modena \| jordan-yamaha \| None \| None \| None \| None row 29 : dnpq \| 34 \| roberto moreno \| moda-judd \| None \| None \| None \| None ] Execute this SQL based on the above table: select pos group by pos having count ( driver ) >= 4	ret
[ header: pos. \| artist \| single \| year \| sales \| peak row 1 : 1 \| daniel lavoie, pat \| "belle" \| 1998 \| 2,221,000 \| 1 row 2 : 4 \| wes \| "alane" \| 1997 \| 1,418,000 \| 1 row 3 : 10 \| celine dion \| "the reason" / "my heart will \| 1998 \| 1,197,000 \| 1 row 4 : 16 \| celine dion \| "pour que tu m'aime \| 1995 \| 955,000 \| 1 row 5 : 19 \| andrea bocelli & helene \| "vivo per lei (je vis pour \| 1998 \| 874,000 \| 1 row 6 : 20 \| zebda \| "tomber la chemise" \| 1999 \| 868,000 \| 1 row 7 : 22 \| khaled \| "aicha" \| 1996 \| 824,000 \| 1 row 8 : 24 \| david hallyday \| "tu ne m'a \| 1999 \| 801,000 \| 1 row 9 : 25 \| will smith \| "men in black" \| 1997 \| 783,000 \| 1 row 10 : 32 \| brandy & monica \| "the boy is mine" \| 1998 \| 662,000 \| 2 row 11 : 35 \| tina arena \| "aller plus haut" \| 1999 \| 617,000 \| 2 row 12 : 39 \| eiffel 65 \| "move your body" \| 1999 \| 589,000 \| 1 row 13 : 40 \| britney spears \| "... baby one more time" \| 1999 \| 578,000 \| 1 row 14 : 54 \| hanson \| "mmmbop" \| 1997 \| 490,000 \| 4 row 15 : 59 \| regg'lyss \| "mets de l'huile" \| 1993 \| 476,000 \| 1 row 16 : 60 \| janet jackson \| "together again" \| 1998 \| 475,000 \| 2 row 17 : 61 \| modern talking \| "you're my heart, you're \| 1998 \| 475,000 \| 3 row 18 : 64 \| lara fabian \| "je t'aime" \| 1997 \| 471,000 \| 6 row 19 : 65 \| madonna \| "frozen" \| 1998 \| 469,000 \| 2 row 20 : 66 \| francois feldman \| "joy" \| 1991 \| 468,000 \| 1 row 21 : 67 \| patrick bruel \| "qui a le droit... (live) \| 1991 \| 466,000 \| 1 row 22 : 68 \| youssou n'dour \| "7 seconds" \| 1994 \| 465,000 \| 1 row 23 : 73 \| freddie mercury \| "living on my own 1993" \| 1993 \| 426,000 \| 1 row 24 : 81 \| g.o. culture \| "darla_dirladada" \| 1993 \| 397,000 \| 1 row 25 : 82 \| spice girls \| "spice up your life" \| 1997 \| 397,000 \| 3 row 26 : 85 \| jean-philippe audin & \| "song of ocarina" \| 1991 \| 379,000 \| 1 row 27 : 86 \| boris \| "soiree disco" \| 1996 \| 376,000 \| 1 row 28 : 89 \| celine dion \| "un garcon pas comme les autres (zi \| 1993 \| 365,000 \| 2 row 29 : 90 \| liane foly \| "la vie ne m'apprend \| 1999 \| 364,000 \| 3 row 30 : 91 \| fool's garden \| "lemon tree" \| 1996 \| 362,000 \| 3 ] Execute this SQL based on the above table: select count ( * ) where peak = 1	19
[ header: name \| date built \| builder \| works no. \| wheels \| cylinders \| notes \| withdrawn row 1 : veteran \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 2 : fairfield \| 1847 \| None \| None \| 0-6-0 \| inside \| arr. 1847 \| None row 3 : waverley \| None \| henry hughes of lough \| None \| 0-4-0st \| outside \| None \| 1889 row 4 : bee \| None \| None \| None \| 0-6-0t \| None \| None \| None row 5 : spider \| None \| None \| None \| 0-6-0t \| None \| None \| None row 6 : gillingham \| None \| aveling and porter \| None \| 0-6-0tg \| None \| arr. 1893 \| 1893 row 7 : no.1 \| 1880 \| hunslet \| 231 \| 0-6-0st \| inside \| arr. 1893 \| 1923 row 8 : no.2 \| 1898 \| peckett \| 696 \| 0-4-0st \| outside \| arr. 1904 \| 1923 ] Execute this SQL based on the above table: select count ( distinct name ) where builder = 1763	0
[ header: year \| location \| gold \| silver \| bronze row 1 : 1958 \| tokyo \| sachika kamo \| desideria ampon \| liu shang-ku row 2 : 1962 \| jakarta \| akiko fukui \| reiko miyagi \| desideria ampon patricia y row 3 : 1966 \| bangkok \| lany kaligis \| kazuko kuromatsu \| lita liem sugiarto row 4 : 1974 \| tehran \| lita liem sugiarto \| paulina pesahov \| lany kaligis row 5 : 1978 \| bangkok \| lee duk-hee \| chen chuan \| kiyoko nomura sonoe row 6 : 1982 \| new delhi \| etsuko inoue \| kim soo-ok \| yu liqiao row 7 : 1986 \| seoul \| li xinyi \| lee jeong-soon \| kim soo-ok row 8 : 1990 \| beijing \| akiko kijimuta \| chen li \| park mal-sim kim il- row 9 : 1994 \| hiroshima \| kimiko date \| naoko sawamatsu \| yayuk basuki chen row 10 : 1998 \| bangkok \| yayuk basuki \| tamarine tanasugar \| li fang yi j row 11 : 2002 \| busan \| iroda tulyaganova \| tamarine tanasugar \| shinobu asagoe row 12 : 2006 \| doha \| zheng jie \| sania mirza \| li na aiko row 13 : 2010 \| guangzhou \| peng shuai \| akgul amanmuradova \| kimiko date-krumm s ] Execute this SQL based on the above table: select count ( bronze ) where silver = 'paulina pesahov'	1
[ 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 open cup order by id desc limit 1	3rd round
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select league where league != '4th (2001-02)' and teams = ( select teams where league = '4th (2001-02)' )	6th (2003-04)
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select count ( * ) where network = 'nhk'	2
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 2-0 \| 8-0 \| euro 2012 qualifying row 2 : 2 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 4-0 \| 8-0 \| euro 2012 qualifying row 3 : 3 \| 8 october 2010 \| ferenc puskas, bud \| san marino \| 5-0 \| 8-0 \| euro 2012 qualifying row 4 : 4 \| 12 october 2010 \| olympic stadium, hel \| finland \| 0-1 \| 1-2 \| euro 2012 qualifying row 5 : 5 \| 29 february 2012 \| eto park, gyor, \| bulgaria \| 1-0 \| 1-1 \| friendly row 6 : 6 \| 7 september 2012 \| estadi comunal, andorr \| andorra \| 3-0 \| 5-0 \| 2014 world cup qualification row 7 : 7 \| 16 october 2012 \| ferenc puskas, bud \| turkey \| 2-1 \| 3-1 \| 2014 world cup qualification ] Execute this SQL based on the above table: select opponent order by goal desc limit 1	turkey
[ 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 team where team in ( 'victoria libertas pesaro' , 'reyer venezia' ) order by seasons desc limit 1	reyer venezia
[ header: season \| league \| gold \| silver \| bronze \| winning manager row 1 : 1947-48 \| league of norway \| freidig \| sparta \| None \| None row 2 : 1948-49 \| main league \| fredrikstad \| valerenga \| None \| None row 3 : 1950-51 \| main league \| fredrikstad \| odd \| None \| None row 4 : 1952-53 \| main league \| larvik turn \| skeid \| None \| None row 5 : 1954-55 \| main league \| larvik turn \| fredrikstad \| None \| None row 6 : 1958-59 \| main league \| lillestrøm \| fredrikstad \| None \| karl gudmundson row 7 : 1959-60 \| main league \| fredrikstad \| lillestrøm \| eik-tønsberg \| None row 8 : 1965 \| first division \| valerenga \| lyn \| sarpsborg \| anton ploderer row 9 : 1966 \| first division \| skeid \| fredrikstad \| lyn \| None row 10 : 1969 \| first division \| rosenborg \| fredrikstad \| strømsgodset \| george curtis row 11 : 1971 \| first division \| rosenborg \| lyn \| viking \| nils arne eggen row 12 : 1972 \| first division \| viking \| fredrikstad \| strømsgodset \| kjell schou-andrea row 13 : 1974 \| first division \| viking \| molde \| valerenga \| stuart williams row 14 : 1975 \| first division \| viking \| brann \| start \| olav nilsen row 15 : 1976 \| first division \| lillestrøm \| mjøndalen \| brann \| joar hoff row 16 : 1977 \| first division \| lillestrøm \| bodø/glimt \| molde \| joe hooley row 17 : 1979 \| first division \| viking \| moss \| start \| tony knapp row 18 : 1983 \| first division \| valerenga \| lillestrøm \| start \| gunder bengtsson row 19 : 1984 \| first division \| valerenga \| viking \| start \| gunder bengtsson per anders row 20 : 1985 \| first division \| rosenborg \| lillestrøm \| valerenga \| arne dokken bjø row 21 : 1990 \| first division \| rosenborg \| tromsø \| molde \| nils arne eggen row 22 : 1991 \| tippeligaen \| viking \| rosenborg \| start \| benny lennartsson row 23 : 1992 \| tippeligaen \| rosenborg \| kongsvinger \| start \| nils arne eggen row 24 : 1993 \| tippeligaen \| rosenborg \| bodø/glimt \| lillestrøm \| nils arne eggen row 25 : 1994 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 26 : 1996 \| tippeligaen \| rosenborg \| lillestrøm \| viking \| nils arne eggen row 27 : 2002 \| tippeligaen \| rosenborg \| molde \| lyn \| nils arne eggen row 28 : 2003 \| tippeligaen \| rosenborg \| bodø/glimt \| stabæk \| age hareide row 29 : 2004 \| tippeligaen \| rosenborg \| valerenga \| brann \| ola by rise row 30 : 2006 \| tippeligaen \| rosenborg \| brann \| valerenga \| knut tørum per-m ] Execute this SQL based on the above table: select league where id = 48	tippeligaen
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select count ( distinct callsign )	13
[ header: city of licence \| analog channel \| digital channel \| virtual channel \| callsign \| network \| notes row 1 : brandon \| 4 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 2 : dauphin \| 12 \| None \| None \| ckyd-tv \| ctv \| satellite of cky-dt winn row 3 : fisher branch \| 8 \| None \| None \| ckya-tv \| ctv \| satellite of cky-dt winn row 4 : flin flon \| 13 \| None \| None \| ckyf-tv \| ctv \| satellite of cky-dt winn row 5 : mccreary \| 13 \| None \| None \| ckyb-tv \| ctv \| satellite of cky-dt winn row 6 : minnedosa \| 2 \| None \| None \| cknd-tv-2 \| global \| None row 7 : the pas \| 12 \| None \| None \| ckyp-tv \| ctv \| satellite of cky-dt winn row 8 : portage la prairie \| None \| 13 \| 13.1 \| chmi-dt \| city \| None row 9 : thompson \| 9 \| None \| None \| ckyt-tv \| ctv \| satellite of cky-dt winn row 10 : winnipeg \| None \| 51 \| 3.1 \| cbwft-dt \| r-c \| None row 11 : winnipeg \| None \| 27 \| 6.1 \| cbwt-dt \| cbc \| None row 12 : winnipeg \| None \| 7 \| 7.1 \| cky-dt \| ctv \| None row 13 : winnipeg \| None \| 40 \| 9.1 \| cknd-dt \| global \| None row 14 : winnipeg \| None \| 13 \| 13.1 \| chmi-dt \| city \| mts tv hd row 15 : winnipeg \| None \| 35 \| 35.1 \| ciit-dt \| religious independent \| None ] Execute this SQL based on the above table: select notes group by notes order by count ( * ) desc limit 1	satellite of cky-dt winnipeg
[ 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 count ( * ) where year > 2004	5
[ header: number \| name \| team \| position \| years with franchise \| note row 1 : 23 \| lou hudson \| atlanta hawks \| f \| 1966-1977 \| None row 2 : 15 \| tom heinsohn \| boston celtics \| f \| 1956-1978 \| also served as head coach (1969-1978); row 3 : 19 \| don nelson \| boston celtics \| f \| 1965-1976 \| None row 4 : 3 \| drazen petrovic \| brooklyn nets \| g \| 1990-1993 \| died in a car crash while playing for the row 5 : 25 \| bill melchionni \| brooklyn nets \| g \| 1969-1976 \| the team was then on long island as the new row 6 : 32 \| julius erving \| brooklyn nets \| f \| 1973-1976 \| the team was then on long island as the new row 7 : 25 \| mark price \| cleveland cavaliers \| g \| 1986-1995 \| None row 8 : 43 \| brad daugherty \| cleveland cavaliers \| c \| 1986-1994 \| None row 9 : 2 \| alex english \| denver nuggets \| f \| 1980-1990 \| None row 10 : 17 \| chris mullin \| golden state warriors \| sg/sf \| 1985-1997; 2000-2001 \| also served as executive vice president of basketball operations ( row 11 : 42 \| nate thurmond \| golden state warriors \| c \| 1963-1974 \| team bore the san francisco name row 12 : 52 \| jamaal wilkes \| los angeles lakers \| f \| 1977-1985 \| None row 13 : microphone \| chick hearn \| los angeles lakers \| None \| 1960-2002 \| as broadcaster row 14 : 1 \| oscar robertson \| milwaukee bucks \| g \| 1970-1974 \| None row 15 : 2 \| junior bridgeman \| milwaukee bucks \| f \| 1975-1984; 1986-1987 \| None row 16 : 16 \| bob lanier \| milwaukee bucks \| c \| 1980-1984 \| None row 17 : 5 \| dick van arsdale \| phoenix suns \| g \| 1968-1977 \| also served as head coach (1987) row 18 : 42 \| connie hawkins \| phoenix suns \| f \| 1969-1973 \| None row 19 : 22 \| clyde drexler \| portland trail blazers \| g \| 1984-1994 \| None row 20 : 44 \| sam lacey \| sacramento kings \| c \| 1970-1981 \| during his career with the team, it was known row 21 : 19 \| lenny wilkens \| seattle supersonics \| g \| 1968-1972 \| played for the seattle supersonics and row 22 : 4 \| adrian dantley \| utah jazz \| f \| 1979-1986 \| None row 23 : 7 \| pete maravich \| utah jazz \| g \| 1974-1979 \| the team was in new orleans from 1974 row 24 : 32 \| karl malone \| utah jazz \| f \| 1985-2003 \| None ] Execute this SQL based on the above table: select number - number where team = 'milwaukee bucks'	0.0, 0.0, 0.0
[ header: entered \| wrestler \| place \| eliminated by \| time row 1 : 1 \| junior fatu \| 7th \| hoyt, kaz, s \| 03:00 row 2 : 2 \| robert roode \| advanced to part three \| None \| 06:47 row 3 : 3 \| kaz \| 5th \| roode \| 05:32 row 4 : 4 \| alex shelley \| 3rd \| young \| 06:47 row 5 : 5 \| eric young \| advanced to part three \| None \| 06:47 row 6 : 6 \| chris sabin \| 6th \| kaz \| 04:55 row 7 : 7 \| lance hoyt \| 4th \| roode \| 06:06 row 8 : 8 \| james storm \| 8th \| young \| 00:05 ] Execute this SQL based on the above table: select count ( eliminated by ) where entered = 1	1
[ header: year \| title \| role \| notes row 1 : 1991 \| they came from outer space \| mrs. morley \| episode: "hair today, gone tomorrow" row 2 : 1991 \| parker lewis can't lose \| melinda \| episode: "love handles" row 3 : 1991 \| married... with children \| jill \| episode: "if al had a ham row 4 : 1992 \| married... with children \| kara \| episode: "the mystery of skull island" row 5 : 1992 \| matlock \| lisa loomis \| episode: "the big payoff" row 6 : 1992 \| silk stalkings \| tessa shaver \| episode: "goodtime charlie" row 7 : 1992 \| dark justice \| lucy \| episode: "a better mousetrap" row 8 : 1992 \| baywatch \| lifeguard \| episode: "war of nerves" row 9 : 1993 \| the cover girl murders \| hetty barnett \| movie row 10 : 1994 \| red shoe diaries \| luscious lola \| episode: "luscious lola" row 11 : 1994 \| honor thy father and mother: the true \| jamie pisarcik \| movie row 12 : 1994 \| fortune hunter \| kelly owen \| episode: "stowaway" row 13 : 1994 \| baywatch \| kim \| episode: "red wind" row 14 : 1995 \| pointman \| brenner \| episode: "models" row 15 : 1995 \| the watcher \| lori danforth \| 8 episodes row 16 : 1995-96 \| murder one \| julie costello \| 15 episodes row 17 : 1996 \| the x-files \| dr. bambi berenbaum \| episode: "war of the coprophages row 18 : 1996 \| boy meets world \| louanne \| episode: "i never sang for my legal guard row 19 : 1996-97 \| the cape \| navy pilot lt. cmdr. \| 17 episodes row 20 : 1997 \| stargate sg-1 \| kynthia \| episode: "brief candle" row 21 : 1998 \| house rules \| dr. chris cavan \| episode: "riley's new job" row 22 : 1998 \| chameleon \| kam \| movie row 23 : 1998 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 24 : 1999 \| two guys and a girl \| shawn \| episode: "two guys, a girl and row 25 : 1999 \| chameleon ii: death match \| kam \| movie row 26 : 1999 \| the magnificent seven \| None \| episode: "wagon train: part 1" row 27 : 1999 \| the crow: stairway to heaven \| hannah foster / talon \| episode: "birds of a feather" row 28 : 1999 \| the strip \| lilly briscoe \| episode: "winner takes it all" row 29 : 2000 \| two guys and a girl \| shawn \| episode: "another moving script" row 30 : 2000 \| hustle \| maya / corinna \| m<vie row 31 : 2000 \| chameleon 3: dark angel \| kam \| movie row 32 : 2001 \| seven days \| raven \| episode: "raven" row 33 : 2001 \| dharma & greg \| anna \| episode: "dream a little dream of her ] Execute this SQL based on the above table: select notes where role = 'louanne'	episode: "i never sang for my legal guardian"
[ header: pos. \| name \| place of birth \| date of birth \| previous club \| date joined \| fee row 1 : gk \| alan buck \| colchester \| 25 august 1946 \| youth team \| 1 august 1964 \| free row 2 : gk \| sandy kennon \| johannesburg \| 28 november 1933 \| norwich city \| 6 march 1965 \| free row 3 : df \| duncan forbes \| edinburgh \| 19 june 1941 \| musselburgh athletic \| 14 april 1962 \| free row 4 : df \| john fowler \| leith \| 17 october 1933 \| bonnyrigg rose athletic \| 20 august 1955 \| free row 5 : df \| brian hall \| burbage \| 9 march 1939 \| mansfield town \| 6 march 1965 \| free row 6 : df \| mick loughton \| colchester \| 8 december 1942 \| youth team \| 1 august 1964 \| free row 7 : df \| ray price \| hetton-le-hole \| 18 may 1944 \| norwich city \| 6 february 1965 \| free row 8 : df \| david raine \| darlington \| 28 march 1937 \| doncaster rovers \| 24 september 1965 \| free row 9 : mf \| barrie aitchison \| colchester \| 15 november 1937 \| tottenham hotspur \| 22 august 1964 \| £750 row 10 : mf \| bobby blackwood \| edinburgh \| 20 august 1934 \| ipswich town \| 1 september 1965 \| free row 11 : mf \| arthur kaye \| higham \| 9 may 1933 \| middlesbrough \| 21 august 1965 \| free row 12 : mf \| john mansfield \| colchester \| 13 september 1946 \| youth team \| 1 august 1964 \| free row 13 : mf \| derek trevis \| birmingham \| 9 september 1942 \| aston villa \| 7 march 1964 \| free row 14 : fw \| peter bullock \| stoke-on-trent \| 17 november 1941 \| southend united \| 30 october 1965 \| free row 15 : fw \| reg stratton \| kingsley \| 10 july 1939 \| fulham \| 21 august 1965 \| free ] Execute this SQL based on the above table: select name where id = ( select id where name = 'brian hall' ) + 'duncan forbes'	brian hall
[ header: rank \| airport \| passengers handled \| % change 2011 / 12 row 1 : 1 \| netherlands - amsterdam \| 105349 \| None row 2 : 2 \| united kingdom - belfast-international \| 92502 \| None row 3 : 3 \| portugal - faro \| 71676 \| None row 4 : 4 \| spain - barcelona \| 66565 \| None row 5 : 5 \| spain - alicante \| 64090 \| None row 6 : 6 \| spain - malaga \| 59175 \| None row 7 : 7 \| ireland - dublin \| 35524 \| None row 8 : 8 \| jersey - jersey \| 35169 \| 1128 row 9 : 9 \| ireland - waterford \| 31907 \| 25 row 10 : 10 \| spain - palma de mallorca \| 27718 \| None ] Execute this SQL based on the above table: select airport where airport in ( 'ireland - dublin' , 'spain - palma de mallorca' ) order by rank desc limit 1	spain - palma de mallorca
[ header: tour \| official title \| venue \| city \| date start \| date finish \| prize money usd \| report row 1 : 1 \| korea open super series premier \| seoul national university gymnasium \| seoul \| january 8 \| january 13 \| 1,000,000 \| report row 2 : 2 \| malaysia open super series \| bukit kiara sports complex \| kuala lumpur \| january 15 \| january 20 \| 400,000 \| report row 3 : 3 \| all england super series premier \| national indoor arena \| birmingham \| march 5 \| march 10 \| 400,000 \| report row 4 : 4 \| india super series \| siri fort indoor stadium \| new delhi \| april 23 \| april 28 \| 200,000 \| report row 5 : 5 \| indonesia super series premier \| istora senayan \| jakarta \| june 11 \| june 16 \| 700,000 \| report row 6 : 6 \| singapore super series \| singapore indoor stadium \| singapore \| june 18 \| june 23 \| 200,000 \| report row 7 : 7 \| china masters super series \| olympic sports centre xinch \| changzhou \| september 10 \| september 15 \| 250,000 \| report row 8 : 8 \| japan super series \| yoyogi national gymnasium \| tokyo \| september 17 \| september 22 \| 200,000 \| report row 9 : 9 \| denmark super series premier \| odense idræt \| odense \| october 15 \| october 20 \| 400,000 \| report row 10 : 10 \| french super series \| stade pierre de coubertin \| paris \| october 22 \| october 27 \| 200,000 \| report row 11 : 11 \| china open super series premier \| yuanshen sports centre stadium \| shanghai \| november 12 \| november 17 \| 350,000 \| report row 12 : 12 \| hong kong super series \| hong kong coliseum \| kowloon \| november 19 \| november 24 \| 250,000 \| report row 13 : 13 \| super series masters finals \| kuala lumpur badminton \| kuala lumpur \| december 11 \| december 15 \| 500,000 \| report ] Execute this SQL based on the above table: select official title where prize money usd > 1366 order by prize money usd desc limit 1	korea open super series premier
[ header: # \| event year \| season \| flag bearer row 1 : 7 \| 2012 \| summer \| ele opeloge row 2 : 6 \| 2008 \| summer \| ele opeloge row 3 : 5 \| 2004 \| summer \| uati maposua row 4 : 4 \| 2000 \| summer \| pauga lalau row 5 : 3 \| 1996 \| summer \| bob gasio row 6 : 2 \| 1988 \| summer \| henry smith row 7 : 1 \| 1984 \| summer \| apelu ioane ] Execute this SQL based on the above table: select count ( flag bearer ) where flag bearer = 'ele opeloge'	2
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where department = 'chuquisaca'	1
[ header: no. \| name \| public access \| location & map links \| area ha \| area acres \| references row 1 : 1 \| aversley wood \| \| 52°25′25′′n 0° \| 61 \| 151 \| sssi wt row 2 : 2 \| balsham wood \| \| 52°07′19′′n 0° \| 35 \| 85 \| sssi row 3 : 3 \| bedford purlieus nnr \| \| 52°35′00′′n 0° \| 208 \| 514 \| sssi nnr row 4 : 4 \| brampton wood \| \| 52°19′02′′n 0° \| 132 \| 326 \| sssi bcnp row 5 : 7 \| gamlingay wood \| \| 52°09′57′′n 0° \| 46 \| 114 \| sssi bcnp row 6 : 8 \| hardwick wood \| \| 52°11′57′′n 0° \| 17 \| 42 \| sssi bcnp row 7 : 9 \| hayley wood \| \| 52°09′33′′n 0° \| 52 \| 129 \| sssi bcnp row 8 : 11 \| langley wood \| \| 52°03′24′′n 0° \| 31 \| 77 \| sssi row 9 : 13 \| madingley wood \| \| 52°13′00′′n 0° \| 15 \| 38 \| sssi row 10 : 14 \| monks wood nnr \| \| 52°24′18′′n 0° \| 170 \| 420 \| sssi nnr row 11 : 15 \| out and plunder woods \| \| 52°10′03′′n 0° \| 28 \| 69 \| sssi row 12 : 16 \| over and lawn woods \| \| 52°06′35′′n 0° \| 45 \| 111 \| sssi row 13 : 18 \| ten wood \| \| 52°10′31′′n 0° \| 17 \| 42 \| sssi row 14 : 20 \| warboy's and wistow wood \| \| 52°25′11′′n 0° \| 42 \| 103 \| sssi row 15 : 21 \| waresley wood \| \| 52°10′37′′n 0° \| 62 \| 153 \| sssi ] Execute this SQL based on the above table: select name where area acres > ( select area acres where public access = '' and name = 'aversley wood' ) order by area acres asc limit 1	waresley wood
[ header: title \| release \| genre \| computer \| console \| handheld \| smartphone row 1 : bionicle heroes \| 2006 \| third-person shooter \| windows \| playstation 2, gamecube, xbox \| nintendo ds \| None row 2 : bionicle: matoran adventures \| 2002 \| platformer \| None \| None \| game boy advance \| None row 3 : bionicle: maze of shadows \| 2005 \| turn based rpg \| None \| None \| game boy advance \| None row 4 : bionicle: the game \| 2003 \| adventure \| windows, os x \| playstation 2, gamecube, xbox \| game boy advance \| None row 5 : drome racers \| 2002 \| racing \| windows \| playstation 2, gamecube, xbox \| game boy advance \| None row 6 : island xtreme stunts \| 2002 \| action-adventure \| windows \| playstation 2 \| game boy advance \| None row 7 : lego alpha team \| 2000 \| action \| windows \| None \| game boy color \| None row 8 : lego battles \| 2009 \| real-time strategy \| None \| None \| nintendo ds \| None row 9 : lego battles: ninjago \| 2011 \| real-time strategy \| None \| None \| nintendo ds \| ios row 10 : lego chess \| 1998 \| strategy \| windows \| None \| None \| None row 11 : lego city undercover \| 2013 \| open world, platform game \| None \| wii u \| None \| None row 12 : lego city undercover: the chase begins \| 2013 \| open world, platform game \| None \| None \| nintendo 3ds \| None row 13 : lego creationary \| 2011 \| puzzle \| None \| None \| None \| ios, android row 14 : lego creator: knights kingdom \| 2000 \| construction and management simulation \| windows \| None \| None \| None row 15 : lego friends \| 2013 \| miscellaneous \| None \| None \| nintendo ds, \| None row 16 : lego island \| 1997 \| action-adventure \| windows \| None \| None \| None row 17 : lego island 2 the brickster's revenge \| 2001 \| action-adventure \| windows \| playstation \| game boy color, game boy advance \| None row 18 : lego knights' kingdom \| 2004 \| action-adventure \| None \| None \| game boy advance \| None row 19 : lego legends of chima online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| None row 20 : lego legends of chima: speed \| 2013 \| racing \| windows \| None \| None \| ios row 21 : lego loco \| 1998 \| virtual world \| windows \| None \| None \| None row 22 : lego minifigures online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| ios, android row 23 : lego my style kindergarten \| 2000 \| educational \| windows, mac os \| None \| None \| None row 24 : lego my style preschool \| 2000 \| educational \| windows, mac os \| None \| None \| None row 25 : lego ninjago: the final \| 2013 \| platformer \| windows \| None \| None \| None row 26 : lego racers \| 1999 \| racing \| windows \| playstation, nintendo 64 \| game boy color \| None row 27 : lego racers 2 \| 2001 \| racing \| windows \| playstation 2 \| game boy advance \| None row 28 : lego rock raiders \| 1999 \| real-time strategy, action \| windows \| playstation \| None \| None row 29 : lego soccer mania \| 2002 \| sport \| windows \| playstation 2 \| game boy advance \| None row 30 : lego stunt rally \| 2000 \| racing \| windows \| None \| game boy color \| None row 31 : lego universe \| 2010 \| massively multiplayer online (mmo) \| windows, os x \| None \| None \| None row 32 : legoland \| 1999 \| simulation strategy \| windows \| None \| None \| None ] Execute this SQL based on the above table: select count ( computer )	23
[ header: publication \| score \| review row 1 : 1up.com \| b \| → row 2 : weekly famitsu \| 36 of 40 \| print row 3 : gamepro.com \| 6.5 of 10 \| → row 4 : gamespot \| 7.5 of 10 \| → row 5 : hardcore gamer magazine \| 9.5 of 10 \| print row 6 : ign.com \| 7.9 of 10 \| → row 7 : nintendo power \| 8 of 10 \| print row 8 : play magazine \| 7 of 10 \| print row 9 : metacritic \| 76 of 100 \| → ] Execute this SQL based on the above table: select count ( * ) where score = 0	0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| crowd \| record row 1 : 1 \| apr 3 \| @min \| w 8-1 \| morris \| williams \| None \| 34381 \| 1-0 row 2 : 2 \| apr 5 \| @min \| w 7-3 \| petry \| viola \| None \| 8373 \| 2-0 row 3 : 3 \| apr 6 \| @chw \| w 3-2 \| wilcox \| dotson \| hernandez \| 42692 \| 3-0 row 4 : 4 \| apr 7 \| @chw \| w 4-0 \| morris \| bannister \| None \| 24616 \| 4-0 row 5 : 5 \| apr 8 \| @chw \| w 7-3 \| lopez \| seaver \| None \| 20478 \| 5-0 row 6 : 6 \| apr 10 \| tex \| w 5-1 \| petry \| stewart \| None \| 51238 \| 6-0 row 7 : 7 \| apr 12 \| tex \| w 9-4 \| morris \| tanana \| None \| 19154 \| 7-0 row 8 : 8 \| apr 13 \| @bos \| w 13-9 \| bair \| hurst \| None \| 35179 \| 8-0 row 9 : 9 \| apr 18 \| kcr \| w 4-3 (10) \| hernandez \| beckwith \| None \| 12310 \| 9-0 row 10 : 10 \| apr 19 \| kcr \| l 2-5 \| saberhagen \| petry \| quisenberry \| 12100 \| 9-1 row 11 : 11 \| apr 20 \| chw \| w 3-2 \| lopez \| reed \| None \| 33554 \| 10-1 row 12 : 12 \| apr 21 \| chw \| w 4-1 \| rozema \| hoyt \| bair \| 34395 \| 11-1 row 13 : 13 \| apr 22 \| chw \| w 9-1 \| berenguer \| brennan \| None \| 10603 \| 12-1 row 14 : 14 \| apr 24 \| min \| w 6-5 \| morris \| davis \| None \| None \| 13-1 row 15 : 15 \| apr 24 \| min \| w 4-3 \| abbott \| viola \| lopez \| 20315 \| 14-1 row 16 : 16 \| apr 25 \| @tex \| w 9-4 \| wilcox \| stewart \| hernandez \| 25883 \| 15-1 row 17 : 17 \| apr 26 \| @tex \| w 7-5 \| bair \| tanana \| lopez \| 13559 \| 16-1 row 18 : 18 \| apr 27 \| cle \| l 4-8 (19) \| aponte \| abbott \| None \| 34112 \| 16-2 row 19 : 19 \| apr 28 \| cle \| w 6-2 \| morris \| behenna \| None \| 28253 \| 17-2 row 20 : 20 \| apr 29 \| cle \| w 6-1 \| petry \| spillner \| None \| 24853 \| 18-2 ] Execute this SQL based on the above table: select sum ( # )	210.0
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select result where actor = 'dan castellaneta'	won, won, won, won, nominated
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select attendance where id = 1	1500
[ header: defendant \| arrested \| charge \| result \| sentence row 1 : john calvin bartlett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| six years of probation row 2 : charles brokaw \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| six months in prison plus probation row 3 : vernon cassel \| october 31, 1955 \| infamous crimes against nature \| pleaded guilty \| ten years in prison row 4 : ralph cooper \| october 31, 1955 \| lewd conduct with a minor \| pleaded guilty \| life imprisonment. served nine years row 5 : melvin dir \| january 7, 1956 \| lewd conduct with a minor \| pleaded guilty \| five years in prison, suspended. later violates row 6 : charles herbert gordon \| december 11, 1955 \| lewd and lascivious conduct \| pleaded guilty \| 15 years in prison row 7 : gordon larsen \| december 11, 1955 \| infamous crimes against nature \| tried, found guilty \| five years in prison row 8 : paris martin \| december 11, 1955 \| infamous crimes against nature \| tried, found not guilty \| none row 9 : joe moore \| november 14, 1955 \| infamous crimes against nature \| pleaded guilty \| seven years in prison. loses appeal to the row 10 : charles pruett \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison row 11 : reginald shaffer \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| 15 years in prison row 12 : willard wilson \| december 11, 1955 \| infamous crimes against nature \| pleaded guilty \| five years in prison. loses appeal to the ] Execute this SQL based on the above table: select result where result != 'pleaded guilty' and charge = ( select charge where result = 'pleaded guilty' )	tried, found guilty, tried, found not guilty
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 6 september 1994 \| bazaly, ostrava \| malta \| 6-1 \| 6-1 \| euro 1996 qualifying row 2 : 2 \| 8 march 1995 \| stadion za luzan \| finland \| 1-0 \| 4-1 \| friendly row 3 : 3 \| 8 march 1995 \| stadion za luzan \| finland \| 2-0 \| 4-1 \| friendly row 4 : 4 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 2-0 \| 4-2 \| euro 1996 qualifying row 5 : 5 \| 29 march 1995 \| bazaly, ostrava \| belarus \| 3-1 \| 4-2 \| euro 1996 qualifying row 6 : 6 \| 26 april 1995 \| letna stadium, prague \| netherlands \| 3-1 \| 3-1 \| euro 1996 qualifying row 7 : 7 \| 7 october 1995 \| dinamo stadium, minsk \| belarus \| 2-0 \| 2-0 \| euro 1996 qualifying row 8 : 8 \| 15 november 1995 \| letna stadium, prague \| luxembourg \| 3-0 \| 3-0 \| euro 1996 qualifying row 9 : 9 \| 30 june 1996 \| wembley stadium, london \| germany \| 1-0 \| 1-2 \| euro 1996 row 10 : 10 \| 18 september 1996 \| na stinadle \| malta \| 1-0 \| 6-0 \| 1998 world cup qualification row 11 : 11 \| 18 september 1996 \| na stinadle \| malta \| 3-0 \| 6-0 \| 1998 world cup qualification row 12 : 12 \| 26 february 1997 \| zimni stadion, pod \| belarus \| 4-1 \| 4-1 \| friendly row 13 : 13 \| 14 october 1998 \| na stinadle \| estonia \| 2-0 \| 4-1 \| euro 2000 qualifying row 14 : 14 \| 14 october 1998 \| na stinadle \| estonia \| 3-0 \| 4-1 \| euro 2000 qualifying row 15 : 15 \| 27 march 1999 \| na stinadle \| lithuania \| 2-0 \| 2-0 \| euro 2000 qualifying row 16 : 16 \| 5 june 1999 \| kadrioru stadium, tall \| estonia \| 1-0 \| 2-0 \| euro 2000 qualifying row 17 : 17 \| 8 september 1999 \| na stinadle \| bosnia and herzegovin \| 2-0 \| 3-0 \| euro 2000 qualifying row 18 : 18 \| 3 june 2000 \| frankenstadion, nurember \| germany \| 2-2 \| 2-3 \| friendly ] Execute this SQL based on the above table: select competition where id = ( select id where score = '3-0' ) - 1	euro 1996 qualifying
[ header: year \| representative \| hometown \| placement in miss nepal \| special awards at miss nepal \| placement in miss pokhara row 1 : 1995 \| rita gurung \| pamee \| 1st runner up \| None \| winner row 2 : 1996 \| binita gurung \| batulichor \| 2nd runner up \| None \| winner row 3 : 1997 \| neelima gurung \| nadipur \| winner \| miss personality \| winner row 4 : 1998 \| sunita ranjit \| lakeside \| None \| None \| winner row 5 : 1999 \| kripa gurung \| tersapatti \| 2nd runner up \| miss photogenic \| winner row 6 : 2004 \| anita gurung \| bajapatan \| 2nd runner up \| miss talent \| miss paschimanchal 2003 row 7 : 2005 \| chandra gurung \| ghorepatan \| None \| None \| None row 8 : 2011 \| madina begum \| pokreli \| None \| miss perseverance \| None row 9 : 2012 \| dilasha gc \| chindata \| None \| None \| None row 10 : 2013 \| sipora gurung \| mahendrapool \| 3rd runner up \| miss talent \| None row 11 : 2014 \| rashmi adhikari \| goripatan \| None \| None \| winner ] Execute this SQL based on the above table: select representative where year > ( select year where representative = 'anita gurung' )	chandra gurung, madina begum, dilasha gc, sipora gurung, rashmi adhikari
[ 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 where area (mm2) > 1613 and stops (area) < 1164 order by height (mm) limit 1	medium-format (hasselblad h5d-60)
[ header: song \| artists \| release \| year \| notes row 1 : "all of you" \| riz mc, aruba red, \| microscope \| 2012 \| original 2011 recording does not feature plan b row 2 : "atomic" \| labrinth, plan b \| atomic \| 2013 \| None row 3 : "before i die" (remix) \| professor green, narstie, \| "before i die" \| 2006 \| None row 4 : "bring it back" \| juse, j.b., \| global casino \| 2006 \| None row 5 : "broken wings" \| mc purple, doctor, plan b \| eye of the tiger, vol. 1 \| 2005 \| None row 6 : "end credits" \| chase & status, plan b \| no more idols \| 2011 \| None row 7 : "everyday" (rusher remix) \| shameless, example, plan b \| "everyday (in a broken dream \| 2007 \| None row 8 : "fool yourself" \| chase & status, plan b, \| no more idols \| 2011 \| None row 9 : "harry" (plan b remix) \| medison, skrein, \| "harry" \| 2010 \| None row 10 : "how's it feel" \| skrein, wyt \| the eat up \| 2007 \| also appears on it's time 4 plan row 11 : "i wanna get next to you" ( \| danielle senior, plan b, \| "take you home" \| 2006 \| None row 12 : "last dayz" \| skreintax, plan b \| "scene stealers" \| 2009 \| None row 13 : "makin' love 2 hip hop" \| plan b, skrein, \| sharpest tool in the box \| 2007 \| None row 14 : "maybe" \| skrein, shameless, plan \| bless: the mixtape \| 2007 \| None row 15 : "more is enough" \| epic man, plan b \| "more is enough" \| 2006 \| also appears as bonus track on australian release of row 16 : "my eyes" \| shameless, tb, plan b \| bless: the mixtape \| 2007 \| None row 17 : "no hats no trainers" \| shameless, plan b \| smokers die younger \| 2007 \| None row 18 : "on it 08" \| adam deacon, plan b \| adulthood \| 2008 \| None row 19 : "past that" \| shameless, plan b \| above board \| 2006 \| None row 20 : "pieces" \| chase & status, plan b \| more than alot \| 2008 \| None row 21 : "play ur position" \| juse, conspicuous, ane \| global casino \| 2006 \| None row 22 : "polarised nation" \| carly bond, ripper, hitman \| eye of the tiger, vol. 1 \| 2005 \| None row 23 : "reveal your inner self" (plan \| killa kela, plan b \| "reveal your inner self" \| 2007 \| None row 24 : "shifty" \| riz mc, sway, \| shifty \| 2009 \| None row 25 : "shots echo" \| the mitchell brothers, plan b, \| dressed for the occasion \| 2007 \| None ] Execute this SQL based on the above table: select count ( distinct artists ) where year > 2012	1
[ header: \| country \| builder \| location \| ship \| class / type row 1 : 6 march \| united states \| john roach and son \| chester, pennsylvania \| city of rio de janeiro \| passenger ship row 2 : 13 may \| germany \| kaiserliche werft wil \| wilhelmshaven \| bayern \| sachsen-class ironclad row 3 : 13 june \| united kingdom \| royal dockyard \| devonport, devon \| pegasus \| doterel-class sloop row 4 : 31 august \| united kingdom \| royal dockyard \| sheerness \| gannet \| doterel-class sloop row 5 : 23 october \| norway \| karljohansverns ver \| horten \| nor \| vale-class gunboat row 6 : 1 november \| norway \| karljohansverns ver \| horten \| brage \| vale-class gunboat row 7 : 9 november \| germany \| a. g. vulcan \| stettin \| wurttemberg \| sachsen-class ironclad ] Execute this SQL based on the above table: select count ( ) where country = 3	0
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select sum ( population (2011) )	15886300.0
[ header: no \| date \| race \| track \| winner \| reports row 1 : 1 \| 02-09-2008 \| daytona arca 200 \| daytona \| michael annett \| report row 2 : 2 \| 04-13-2008 \| kentuckiana ford dealers 200 \| salem speedway \| justin allgaier \| report row 3 : 3 \| 04-19-2008 \| prairie meadows 250 \| iowa speedway \| matt hawkins \| report row 4 : 4 \| 04-25-2008 \| kansas lottery $150 grand \| kansas speedway \| scott speed \| report row 5 : 5 \| 05-04-2008 \| carolina 500 \| rockingham \| joey logano \| report row 6 : 6 \| 05-10-2008 \| drive smart! 150 \| kentucky \| ricky stenhouse, jr \| report row 7 : 7 \| 05-18-2008 \| hantz group 200 \| toledo \| matt carter \| report row 8 : 8 \| 06-07-2008 \| pocono 200 \| pocono \| ricky stenhouse, jr \| report row 9 : 9 \| 06-14-2008 \| racing for wildlife 200 \| michigan \| justin lofton \| report row 10 : 10 \| 06-29-2008 \| cayuga arca re/max \| cayuga \| justin allgaier \| report row 11 : 11 \| 07-18-2008 \| kentucky 150 \| kentucky \| scott speed \| report row 12 : 12 \| 07-26-2008 \| berlin arca 200 \| berlin \| scott speed \| report row 13 : 13 \| 08-02-2008 \| pennsylvania 200 \| pocono \| justin allgaier \| report row 14 : 14 \| 08-09-2008 \| toyota arca 150 \| nashville ss \| scott speed \| report row 15 : 15 \| 08-17-2008 \| allen crowe 100 \| springfield \| frank kimmel \| report row 16 : 16 \| 09-01-2008 \| southern illinois 100 \| duquoin \| frank kimmel \| report row 17 : 17 \| 09-06-2008 \| chicagoland arca 200 \| chicagoland \| scott lagasse jr \| report row 18 : 18 \| 09-13-2008 \| eddie gilstrap motors \| salem \| frank kimmel \| report row 19 : 19 \| 09-28-2008 \| loud energy drink 150 \| njmp \| justin allgaier \| report row 20 : 20 \| 10-03-2008 \| food world 250 \| talladega \| justin allgaier \| report row 21 : 21 \| 10-12-2008 \| toledo arca 200 \| toledo \| justin allgaier \| report ] Execute this SQL based on the above table: select race order by reports desc limit 1	daytona arca 200
[ header: year \| cast (nabucco, abigaille, zaccaria, ismaele, fenena) \| conductor, opera house and orchestra \| label row 1 : 1951 \| paolo silveri, caterina \| fernando previtali, orchestra \| audio cd: warner fon row 2 : 1965 \| tito gobbi, \| lamberto gardelli, vienn \| audio cd: decca cat: 4 row 3 : 1977-78 \| matteo manuguerra, renat \| riccardo muti, phil \| audio cd: emi records row 4 : 1982 \| piero cappuccilli, \| giuseppe sinopoli, \| audio cd: dg cat: row 5 : 1987 \| renato bruson, g \| riccardo muti, la \| dvd: warner cat: 5050467 row 6 : 2002 \| juan pons, maria \| james levine, metropolitan opera \| dvd: dg, live recording cat: row 7 : 2004 \| alberto gazzale, susan \| riccardo frizza, teatr \| dvd: dynamic, live recording cat: 334 row 8 : 2004 \| renato bruson, mauri \| paolo carignani, teat \| dvd: brilliant classics, live recording cat: row 9 : 2007 \| leo nucci, maria guleg \| daniel oren, arena di \| dvd: decca, live recording cat: ] Execute this SQL based on the above table: select cast (nabucco, abigaille, zaccaria, ismaele, fenena) order by conductor, opera house and orchestra asc limit 1	leo nucci, maria guleghina, carlo colombara, fabio sartori, nino surguladze
[ header: election \| number of popular votes \| % of popular votes \| total elected seats \| +/- row 1 : 1988 \| 139982 \| 22.16 \| 61 / 264 \| None row 2 : 1991 \| 170757 \| 32.11 \| 83 / 272 \| 22 row 3 : 1994 \| 242557 \| 35.34 \| 121 / 346 \| 38 row 4 : 1999 \| 271251 \| 33.45 \| 122 / 390 \| 1 row 5 : 2003 \| 459640 \| 44.67 \| 194 / 400 \| 72 row 6 : 2007 \| 445781 \| 39.15 \| 127 / 405 \| 30 row 7 : 2011 \| 464512 \| 39.34 \| 103 / 412 \| 18 ] Execute this SQL based on the above table: select total elected seats order by number of popular votes desc limit 1	103 / 412
[ header: \| name \| took office \| left office \| party row 1 : 1 \| vasso papandreou \| 21 february 1996 \| 19 february 1999 \| panhellenic socialist movement row 2 : 2 \| evangelos venizelos \| 19 february 1999 \| 13 april 2000 \| panhellenic socialist movement row 3 : 3 \| nikos christodoulaki \| 13 april 2000 \| 24 october 2001 \| panhellenic socialist movement row 4 : 4 \| akis tsochatzo \| 24 october 2001 \| 10 march 2004 \| panhellenic socialist movement row 5 : 5 \| dimitris sioufas \| 10 march 2004 \| 19 september 2007 \| new democracy row 6 : 6 \| christos folias \| 19 september 2007 \| 8 january 2009 \| new democracy row 7 : 7 \| kostis hatzidakis \| 8 january 2009 \| 7 october 2009 \| new democracy ] Execute this SQL based on the above table: select name where name = 'vasso papandreou' and party = 'panhellenic socialist movement'	vasso papandreou
[ header: # \| title \| english translation \| original album \| length row 1 : 1 \| mimpi yang sempurn \| a perfect dream \| kisah 2002 malam \| 4:30 row 2 : 2 \| bintang di surga \| stars in the heaven \| bintang di surga \| None row 3 : 3 \| aku dan bintang \| the stars and me \| taman langit \| 3:39 row 4 : 4 \| jauh mimpiku \| distant dreams of mine \| ost. alexandria \| None row 5 : 5 \| hari yang cerah un \| a bright day for a lonely soul \| hari yang cerah \| 3:59 row 6 : 6 \| menunggu pagi \| waiting for dawn \| ost. alexandria \| None row 7 : 7 \| khayalan tingkat ting \| high-level imagination \| bintang di surga \| None row 8 : 8 \| sahabat \| best friend \| taman langit \| 4:33 row 9 : 9 \| sally sendiri \| sally alone \| hari yang cerah \| 4:17 row 10 : 10 \| langit tak mendengar \| the sky didn't listen \| ost. alexandria \| None row 11 : 11 \| di belakangku \| behind me \| bintang di surga \| None row 12 : 12 \| kita tertawa \| we laugh \| taman langit \| 3:29 row 13 : 13 \| membebaniku \| burdening me \| ost. alexandria \| 4:25 row 14 : 14 \| cobalah mengerti \| try to understand \| hari yang cerah \| 3:30 row 15 : 15 \| topeng \| mask \| taman langit \| 4:25 ] Execute this SQL based on the above table: select ( select # where english translation = 'the stars and me' ) > 1822	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 1-0 \| 7-1 \| 1928 summer olympics row 2 : 2 \| 30 may 1928 \| olympic stadium (amsterdam \| mexico \| 3-0 \| 7-1 \| 1928 summer olympics row 3 : 3 \| 22 june 1930 \| bologna, italy \| italy \| 1-0 \| 3-2 \| friendly row 4 : 4 \| 22 june 1930 \| bologna, italy \| italy \| 3-1 \| 3-2 \| friendly row 5 : 5 \| 13 december 1931 \| dublin, ireland \| ireland \| 3-0 \| 5-0 \| friendly row 6 : 6 \| 13 december 1931 \| dublin, ireland \| ireland \| 5-0 \| 5-0 \| friendly row 7 : 7 \| 24 april 1932 \| oviedo, spain \| yugoslavia \| 1-0 \| 2-1 \| friendly row 8 : 8 \| 21 june 1933 \| madrid, spain \| bulgaria \| 8-0 \| 13-0 \| friendly row 9 : 9 \| 21 june 1933 \| madrid, spain \| bulgaria \| 12-0 \| 13-0 \| friendly row 10 : 10 \| 11 march 1934 \| madrid, spain \| portugal \| 4-0 \| 9-0 \| 1934 world cup qualifier row 11 : 11 \| 11 march 1934 \| madrid, spain \| portugal \| 6-0 \| 9-0 \| 1934 world cup qualifier row 12 : 12 \| 21 june 1934 \| firenze, italy \| italy \| 1-0 \| 1-1 \| 1934 fifa world cup row 13 : 13 \| 24 january 1935 \| madrid, spain \| bulgaria \| 1-0 \| 2-0 \| friendly row 14 : 14 \| 19 january 1936 \| madrid, spain \| austria \| 2-4 \| 4-5 \| friendly row 15 : 15 \| 19 january 1936 \| madrid, spain \| austria \| 4-4 \| 4-5 \| friendly row 16 : 16 \| 23 february 1936 \| barcelona, spain \| germany \| 1-2 \| 1-2 \| friendly ] Execute this SQL based on the above table: select count ( * ) where date <= 1983	6
[ header: manufacturer \| model \| first flight \| max payload (t) \| cruise (km/h) \| max range (km) \| mtow row 1 : airbus \| a330 mrtt \| 2007 \| 45 \| 860 \| 14,800 \| 223 row 2 : airbus \| a400m \| 2009 \| 37 \| 780 \| 9,300 \| 141 row 3 : alenia \| c-27j spartan \| 2008 \| 11.5 \| 583 \| 5,926 \| 31.8 row 4 : antonov \| an-12 \| 1957 \| 20 \| 777 \| 5,700 \| 61 row 5 : antonov \| an-22 antei \| 1965 \| 80 \| 740 \| 5,000 \| 250 row 6 : antonov \| an-26 \| 1969 \| 5.5 \| 440 \| 2,550 \| 24 row 7 : antonov \| an-32 \| 1976 \| 6.7 \| 480 \| 2,500 \| 26.9 row 8 : antonov \| an-70 \| 1994 \| 47 \| 729 \| 6,600 \| 145 row 9 : antonov \| an-72 \| 1977 \| 7.5 \| 600 \| 4,800 \| 33 row 10 : antonov \| an-124 ruslan \| 1982 \| 150 \| 800-850 \| 5,410 \| 405 row 11 : antonov \| an-225 mriya \| 1988 \| 250 \| 800 \| 15,400 \| 600 row 12 : avic \| y-8 \| 1974 \| 20 \| 550 \| 5,616 \| 61 row 13 : avic \| y-9 \| 2008 \| 25 \| 650 \| 7,800 \| 77 row 14 : avic \| y-20 \| 2013 \| 66 \| 700 \| 7,800 \| 220 row 15 : bell/boeing \| v-22 osprey \| 1989 \| 6.8 \| 396 \| 1,627 \| 27.4 row 16 : boeing \| c-17 globemaster iii \| 1991 \| 77.5 \| 830 \| 4,482 \| 265 row 17 : casa \| c-212 aviocar \| 1971 \| 2.8 \| 315 \| 1,433 \| 8 row 18 : casa/indonesian aerospace \| cn-235 \| 1983 \| 5 \| 509 \| 5,003 \| 15.1 row 19 : casa \| c-295 \| 1998 \| 9.3 \| 481 \| 5,630 \| 23.2 row 20 : de havilland canada \| c-7 caribou \| 1958 \| 3.6 \| 348 \| 2,103 \| 14.2 row 21 : douglas \| c-47 \| 1943 \| 3 \| 360 \| 2,600 \| 10.5 row 22 : grumman \| c-2 greyhound \| 1964 \| 4.5 \| 465 \| 2,400 \| 24.7 row 23 : embraer \| kc-390 \| 2014 \| 23 \| 900 \| 6,200 \| 72 row 24 : fairchild \| c-123 provider \| 1949 \| 11 \| 367 \| 1,666 \| 27 row 25 : ilyushin \| il-76 \| 1971 \| 47 \| 900 \| 4,400 \| 210 row 26 : ilyushin \| il-112 \| 2011 \| 5.9 \| 550 \| 5,000 \| 20 row 27 : kawasaki \| c-1 \| 1970 \| 11.9 \| 657 \| 1,300 \| 45 row 28 : kawasaki \| xc-2 \| 2010 \| 37.6 \| 890 \| 6,500 \| 120 row 29 : lockheed \| c-5 galaxy \| 1968 \| 122 \| 907 \| 4,445 \| 381 row 30 : lockheed \| c-130 hercules \| 1954 \| 20 \| 540 \| 3,800 \| 70.3 row 31 : lockheed \| c-141 starlifter \| 1963 \| 45 \| 912 \| 9,880 \| 147 row 32 : pzl mielec \| m-28 skytruck \| 1993 \| 2.5 \| 270 \| 1,500 \| 8 row 33 : short brothers \| c-23 sherpa \| 1982 \| 3.2 \| 296 \| 1,239 \| 3.2 row 34 : transport allianz \| transall c-160 \| 1963 \| 16 \| 513 \| 1,850 \| 49.2 row 35 : uac and hal \| uac/hal multirole transport \| 2015 \| 22 \| 830 \| 2,500 \| 68 ] Execute this SQL based on the above table: select manufacturer where max payload (t) = 122 order by model desc limit 1	lockheed
[ header: # \| player \| span \| caps \| total caps \| win % row 1 : 1 \| fabien pelous \| 1997-2006 \| 42 \| 118 \| 64.28% row 2 : 2 \| raphael ibanez \| 1998-2007 \| 41 \| 98 \| 63.41% row 3 : 3 \| jean-pierre rives \| 1978-1984 \| 34 \| 59 \| 55.88% row 4 : 3 \| philippe saint-andre \| 1994-1997 \| 34 \| 69 \| 73.53% row 5 : 5 \| thierry dusautoir \| 2009- \| 31 \| 54 \| 54.84% row 6 : 6 \| daniel dubroca \| 1986-1988 \| 11 \| 33 \| 72.00% row 7 : 6 \| fabien galthie \| 1999-2003 \| 11 \| 64 \| 64.00% row 8 : 8 \| guy basquet \| 1948-1952 \| 11 \| 33 \| 50.00% row 9 : 9 \| michel crauste \| 1961-1966 \| 11 \| 63 \| 68.18% row 10 : 10 \| jacques fouroux \| 1974-1977 \| 11 \| 27 \| 66.67% ] Execute this SQL based on the above table: select # where player = 'philippe saint-andre'	3
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select year order by budget asc limit 1	1988