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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: name \| club \| position \| years \| current status \| international caps row 1 : frank farina \| sydney fc \| fw \| 1982-83 \| coaching \| 67 row 2 : robbie hooker \| None \| df \| 1984-85 \| coaching \| 22 row 3 : jason polak \| None \| mf \| 1985-87 \| retired \| 28 row 4 : jason van blerk \| None \| mf \| 1986 \| coaching \| 33 row 5 : ned zelic \| None \| df \| 1988 \| media \| 34 row 6 : shaun murphy \| None \| df \| 1988 \| retired \| 27 row 7 : kevin muscat \| melbourne victory \| df \| 1990-91 \| coaching \| 51 row 8 : goran lozanovski \| None \| mf \| 1990-91 \| retired \| 9 row 9 : josip skoko \| None \| mf \| 1992-93 \| coaching \| 51 row 10 : mark viduka \| None \| fw \| 1992-93 \| retired \| 43 row 11 : lucas neill \| sydney fc \| df \| 1994-95 \| playing \| 89 row 12 : vince grella \| None \| mf \| 1996 \| retired \| 46 row 13 : simon colosimo \| melbourne heart \| df \| 1996-97 \| playing \| 26 row 14 : mile sterjovski \| central coast mariners \| mf \| 1996-98 \| playing \| 43 row 15 : ljubo milicevic \| free agent \| df \| 1997-98 \| playing \| 8 row 16 : luke wilkshire \| fc dynamo moscow \| mf \| 1997-98 \| playing \| 74 row 17 : jade north \| brisbane roar \| df \| 1999 \| playing \| 39 row 18 : nathan coe \| melbourne victory \| gk \| 2000-01 \| playing \| 3 row 19 : alex brosque \| al ain fc \| fw \| 2001 \| playing \| 7 row 20 : carl valeri \| sassuolo \| mf \| 2001-02 \| playing \| 50 row 21 : adam federici \| reading \| gk \| 2001-02 \| playing \| 8 row 22 : mark milligan \| melbourne victory \| df \| 2002 \| playing \| 19 row 23 : robbie kruse \| fortuna dusseldorf \| fw \| 2005-06 \| playing \| 21 row 24 : mitchell langerak \| borussia dortmund \| gk \| 2005-06 \| playing \| 0 row 25 : bruce djite \| adelaide united \| fw \| 2006 \| playing \| 9 row 26 : matthew spiranovic \| western sydney wanderers \| df \| 2006 \| playing \| 16 row 27 : nathan burns \| newcastle jets \| mf \| 2006 \| playing \| 7 row 28 : apostolos giannou \| platanias \| fw \| 2007 \| playing \| 0 row 29 : terry antonis \| sydney fc \| mf \| 2009 \| playing \| 0 row 30 : kerem bulut \| akhisar belediyespor \| fw \| 2009 \| playing \| 0 ] Execute this SQL based on the above table: select international caps order by international caps limit 1	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation in ( 'egypt' , 'angola' , 'ivory coast' ) order by nation asc limit 1	angola
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( position ) where year = 0	0
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select enrollment where id = ( select id where enrollment = 1230 ) + 1	1750
[ header: type \| power [w] \| relative cost \| input range [v] \| energy storage \| features row 1 : flyback \| 0-250 \| 1 \| 5-600 \| mutual inductors \| isolated form of the buck-boost row 2 : ringing choke converter (rcc) \| 0-150 \| 1 \| 5-600 \| transformer \| low-cost self-oscillating row 3 : half-forward \| 0-250 \| 1.2 \| 5-500 \| inductor \| None row 4 : forward \| 100-200 \| None \| 60-200 \| inductor \| isolated form of buck converter row 5 : resonant forward \| 0-60 \| 1 \| 60-400 \| inductor and capacitor \| single rail input, unregulated output, high efficiency row 6 : push-pull \| 100-1,000 \| 1.75 \| 50-1,000 \| inductor \| None row 7 : half-bridge \| 0-2,000 \| 1.9 \| 50-1,000 \| inductor \| None row 8 : full-bridge \| 400-5,000 \| >2.0 \| 50-1,000 \| inductor \| very efficient use of transformer, used for highest powers row 9 : resonant, zero voltage switched \| >1,000 \| >2.0 \| None \| inductor and capacitor \| None row 10 : isolated cuk \| None \| None \| None \| two capacitors and two inductors \| None ] Execute this SQL based on the above table: select count ( * )	10
[ header: year \| title \| role \| notes row 1 : 1978 \| the big fix \| pool man \| None row 2 : 1979 \| french postcards \| sayyid \| None row 3 : 1979 \| last embrace \| first commuter \| None row 4 : 1980 \| night of the juggler \| allesandro the cabbie \| None row 5 : 1981 \| ragtime \| tateh \| None row 6 : 1983 \| yentl \| avigdor \| nominated-golden globe award for best row 7 : 1983 \| daniel \| paul isaacson \| None row 8 : 1985 \| maxie \| nick \| None row 9 : 1986 \| tenku no shiro rap \| louis \| None row 10 : 1987 \| the princess bride \| inigo montoya \| None row 11 : 1988 \| alien nation \| detective samuel 'ge \| nominated-saturn award for best row 12 : 1988 \| the house on carroll street \| ray salwen \| None row 13 : 1990 \| dick tracy \| 88 keys \| None row 14 : 1991 \| true colors \| john palmeri \| None row 15 : 1991 \| impromptu \| alfred de musset \| None row 16 : 1991 \| the doctor \| dr. murray kaplan \| None row 17 : 1993 \| the music of chance \| jim nashe \| None row 18 : 1993 \| life with mikey \| irate man \| None row 19 : 1994 \| squanto: a warrior's \| brother daniel \| None row 20 : 1998 \| lulu on the bridge \| philip kleinman \| None row 21 : 1998 \| men with guns \| andrew \| None row 22 : 1999 \| the adventures of elmo in \| huxley \| None row 23 : 2001 \| pinero \| joseph papp \| None row 24 : 2002 \| run ronnie run \| himself \| None row 25 : 2003 \| celebrity train layouts: mandy patin \| himself \| None row 26 : 2005 \| the choking man \| rick \| None row 27 : 2006 \| everyone's hero \| stanley irving \| None row 28 : 2010 \| 4.3.2.1 ... the countdown begins \| jago l \| None row 29 : 2014 \| wish i was here \| saul bloom \| None ] Execute this SQL based on the above table: select year where role = 'andrew'	1998
[ header: year \| driver \| co-driver \| car \| notes row 1 : 1996 \| karim hirji \| frank nekusa \| toyota celica st \| run under fia rules as the great lakes rally row 2 : 1997 \| chipper adams \| justin beyendeza \| toyota supra \| run as the pearl of africa uganda row 3 : 1998 \| charles muhangi \| steven byaruhanga \| subaru impreza \| None row 4 : 1999 \| chipper adams \| justin beyendeza \| toyota supra \| None row 5 : 2000 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 6 : 2001 \| None \| None \| None \| event not run row 7 : 2002 \| johnny gemmel \| robert paisley \| subaru impreza wrx \| None row 8 : 2003 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 9 : 2004 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 10 : 2005 \| riyaz kurji \| sayed kadri \| subaru impreza n10 \| None row 11 : 2006 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| crew run under kenyan licence row 12 : 2007 \| conrad rautenbach \| peter marsh \| subaru impreza n10 \| None row 13 : 2008 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 14 : 2009 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| price granted posthumously row 15 : 2010 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 16 : 2011 \| ponsiano lwakataka \| musa nsubuga \| subaru impreza n8 \| None row 17 : 2012 \| mohammed essa \| greg stead \| subaru impreza n12 \| None row 18 : 2013 \| jas mangat \| gihan de silva \| mitsubishi lancer evo x \| None ] Execute this SQL based on the above table: select count ( year ) where car = 'subaru impreza n10'	4
[ header: rank \| team \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| final row 1 : silver \| italy (ita) italy \| eugenio monti, \| 1:17.69 \| 1:17.97 \| 1:18.13 \| 1:18.31 \| 5:12.10 row 2 : bronze \| united states (usa) usa i \| arthur tyler, william \| 1:17.75 \| 1:17.87 \| 1:18.25 \| 1:18.52 \| 5:12.39 row 3 : 4 \| switzerland (sui) \| max angst, aby gar \| 1:17.41 \| 1:17.85 \| 1:18.68 \| 1:20.33 \| 5:14.27 row 4 : 7 \| austria (aut) austria i \| kurt loserth, wil \| 1:19.37 \| 1:19.12 \| 1:20.08 \| 1:19.72 \| 5:18.29 row 5 : 8 \| germany (ger) germany ii \| franz schelle, jako \| 1:19.03 \| 1:18.84 \| 1:19.31 \| 1:21.35 \| 5:18.50 row 6 : 9 \| spain (esp) spain \| alfonso de portago, \| 1:18.87 \| 1:19.27 \| 1:21.37 \| 1:19.08 \| 5:19.49 row 7 : 11 \| norway (nor) norway i \| arne røgden, ar \| 1:20.96 \| 1:20.08 \| 1:20.45 \| 1:20.01 \| 5:21.50 row 8 : 13 \| sweden (swe) s \| kjell holmstrom, \| 1:20.58 \| 1:20.32 \| 1:21.15 \| 1:21.13 \| 5:23.18 row 9 : 16 \| sweden (swe) s \| olle axelsson, \| 1:18.95 \| 1:19.98 \| 1:22.75 \| 1:21.86 \| 5:23.54 row 10 : 18 \| france (fra) france \| andre robin, pierre bouvier \| 1:20.00 \| 1:21.25 \| 1:20.95 \| 1:21.63 \| 5:23.83 row 11 : 21 \| poland (pol) poland \| aleksy konieczny \| None \| None \| None \| None \| 5:28.40 ] Execute this SQL based on the above table: select ( select run 2 where rank = 'bronze' ) - ( select run 2 where rank = 8 )	0
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select date order by id desc limit 1	5 may 1934
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| leicester city \| 1-2 \| manchester united \| 14 february 1976 row 2 : 2 \| bolton wanderers \| 3-3 \| newcastle united \| 14 february 1976 row 3 : replay \| newcastle united \| 0-0 \| bolton wanderers \| 18 february 1976 row 4 : replay \| bolton wanderers \| 1-2 \| newcastle united \| 23 february 1976 row 5 : 3 \| wolverhampton wanderers \| 3-0 \| charlton athletic \| 14 february 1976 row 6 : 4 \| west bromwich albion \| 1-1 \| southampton \| 14 february 1976 row 7 : replay \| southampton \| 4-0 \| west bromwich albion \| 17 february 1976 row 8 : 5 \| derby county \| 1-0 \| southend united \| 14 february 1976 row 9 : 6 \| norwich city \| 1-2 \| bradford city \| 23 february 1976 row 10 : 7 \| chelsea \| 2-3 \| crystal palace \| 14 february 1976 row 11 : 8 \| stoke city \| 0-0 \| sunderland \| 14 february 1976 row 12 : replay \| sunderland \| 2-1 \| stoke city \| 17 february 1976 ] Execute this SQL based on the above table: select home team where tie no > ( select tie no where home team = 'west bromwich albion' )	derby county, norwich city, chelsea, stoke city
[ header: parish est \| church \| city \| current bldg begun \| weekly collections \| notes row 1 : 1846 \| shrine of the immaculate conception \| atlanta \| 1869 \| $10,000 \| row 2 : 1880 \| sacred heart basilica \| atlanta \| 1897 \| $18,000 \| row 3 : 1903 \| saint anthony of padua cat \| atlanta \| 1911 \| None \| row 4 : 1912 \| our lady of lourdes catholic church \| atlanta \| 1960 \| None \| row 5 : 1936 \| cathedral of christ the king \| atlanta \| 1937 \| $70,000 \| row 6 : 1941 \| saint thomas more catholic church \| decatur \| 1952 \| $23,000 \| row 7 : 1951 \| our lady of the assumption catholic church \| atlanta \| 1957 \| $16,000 \| row 8 : 1954 \| saint paul of the cross catholic church \| atlanta \| 1957 \| None \| row 9 : 1958 \| immaculate heart of mary catholic church \| atlanta \| 2006 \| $26,000 \| row 10 : 1960 \| saint jude the apostle catholic church \| atlanta \| 1962 \| None \| row 11 : 1960 \| saint luke the evangelist \| dahlonega \| 1898 \| $4,500 \| row 12 : 1960 \| most blessed sacrament catholic church \| atlanta \| 1989 \| $4,000 \| row 13 : 1964 \| catholic church of the holy cross \| atlanta \| 1989 \| None \| row 14 : 1964 \| holy spirit catholic church \| atlanta \| 1977 \| None \| row 15 : 1965 \| our lady of perpetual help catholic church \| carrollton \| 1962 \| $9,000 \| row 16 : 1984 \| christ our hope catholic church \| lithonia \| 2000 \| None \| row 17 : 1999 \| saint francis de sales catholic church \| mableton \| 1999 \| None \| row 18 : 2000 \| saint brigid catholic church \| johns creek \| 2002 \| $50,000 \| ] Execute this SQL based on the above table: select abs ( ( select weekly collections where current bldg begun = 1989 ) - ( select weekly collections where current bldg begun = 2002 ) )	46000.0
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| the memories \| "if it means losing you" \| 57 \| 8th row 2 : 2 \| ann breen \| "oh, darling" \| 80 \| 4th row 3 : 3 \| fran meen \| "say that you love me" \| 66 \| 6th row 4 : 4 \| dreams \| "sin sin ("that's that") \| 73 \| 5th row 5 : 5 \| connor stevens \| "count on me" \| 88 \| 3rd row 6 : 6 \| linda martin and friends \| "all the people in the world" \| 105 \| 2nd row 7 : 7 \| maggie toal \| "feed him with love" \| 61 \| 7th row 8 : 8 \| liam reilly \| "somewhere in europe" \| 130 \| 1st ] Execute this SQL based on the above table: select artist where place = '5th'	dreams
[ 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 constructor order by time/retired limit 1	jordan-toyota
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select geographic coordinates where fips = 62775	37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w
[ header: year \| competition \| venue \| position \| notes row 1 : 2006 \| iaaf world athletics final \| stuttgart, germany \| 5th \| 110 m hurdles row 2 : 2007 \| world championships \| osaka, japan \| 4th (semis) \| 110 m hurdles row 3 : 2008 \| world indoor championships \| valencia, spain \| 4th (semis) \| 60 m hurdles row 4 : 2008 \| olympic games \| beijing, china \| 3rd \| 110 m hurdles row 5 : 2008 \| iaaf world athletics final \| stuttgart, germany \| 1st \| 110 m hurdles row 6 : 2010 \| world indoor championships \| doha, qatar \| 3rd \| 60 m hurdles row 7 : 2010 \| 2010 diamond league \| multiple locations \| 1st \| 110 m hurdles row 8 : 2013 \| 2013 diamond league \| multiple locations \| 1st \| 110 m hurdles row 9 : 2013 \| world championships \| moscow, russia \| 1st \| 110 m hurdles ] Execute this SQL based on the above table: select year where competition = '2010 diamond league'	2010
[ 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 venue order by # asc limit 1	olympic stadium (amsterdam), amsterdam, netherland
[ header: lift name \| type \| top elevation (ft) \| bottom elevation \| vertical rise \| length (ft) \| slope (%) \| capacity (rides/hr) \| speed (ft/min) \| lift manufacturer \| year installed row 1 : bruno \| fixed double \| 5885 \| 5840 \| 45 \| 368 \| 12% \| 630 \| 300 \| poma \| 1987 row 2 : molly's express \| detach quad \| 5835 \| 4990 \| 845 \| 5244 \| 16% \| 1200 \| 1000 \| doppelmayr \| 2000 row 3 : pucci \| fixed triple \| 5920 \| 5350 \| 570 \| 3398 \| 17% \| 1330 \| 450 \| poma \| 1987 row 4 : stormin' norman \| detach quad \| 6245 \| 5460 \| 785 \| 4396 \| 18% \| 1500 \| 1000 \| doppelmayr \| 2000 row 5 : magic mile express \| detach quad \| 6990 \| 5915 \| 1075 \| 5359 \| 20% \| 1600 \| 950 \| poma \| 1992 row 6 : palmer express \| detach quad \| 8470 \| 6940 \| 1530 \| 5468 \| 29% \| 1800 \| 1000 \| doppelmayr \| 1996 row 7 : jeff flood express (still creek basin) \| detach quad \| 6020 \| 4850 \| 1170 \| 6506 \| 18% \| 1800 \| 1000 \| doppelmayr \| 2007 ] Execute this SQL based on the above table: select slope (%) where id = ( select id where slope (%) = '18%' ) - 1	17%
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : 1 \| 4 \| petra chocova \| czech republic \| 31.44 \| q row 2 : 2 \| 5 \| sycerika mcma \| ireland \| 31.51 \| q row 3 : 3 \| 6 \| concepcion badillo diaz \| spain \| 31.66 \| q row 4 : 4 \| 1 \| katharina stiberg \| norway \| 31.84 \| q row 5 : 5 \| 3 \| hrafnhildur \| iceland \| 31.95 \| q row 6 : 6 \| 8 \| anastasia christoforou \| cyprus \| 31.98 \| None row 7 : 7 \| 2 \| ivana ninkovic \| bosnia and herzegovin \| 32.26 \| None row 8 : 8 \| 7 \| jenna laukkanen \| finland \| 32.26 \| None ] Execute this SQL based on the above table: select notes where time = '31.95'	q
[ header: \| landmark name \| date built \| style \| location \| description row 1 : 1 \| gridley building \| 1867 \| second empire \| 101 east water street \| also known as the onondaga county savings row 2 : 2 \| gere bank building \| 1894 \| louis sullivan type \| 121 east water street \| 5 stories; built of granite, brick and row 3 : 3 \| phoenix buildings (portion) \| 1834 \| federal \| 123 east water street \| 4 stories; brick row 4 : 4 \| phillips block \| 1834 \| federal \| 125-127 east water street \| 4 stories; brick row 5 : 5 \| phoenix buildings (portion) \| 1834 \| federal \| 129 east water street \| 4 stories; brick row 6 : 6 \| dana building \| 1837, 1861 \| federal, italianate \| 135 east water street \| italianate top floor added in 1861; 4 row 7 : 7 \| grange building \| 1925 \| commercial \| 203 east water street \| originally an auto dealership; 4 stories; brown brick row 8 : 8 \| state tower building \| 1927 \| art deco \| 109 south warren street \| 22 stories; brick and limestone; tho row 9 : 9 \| granger block \| 1869, 1894 \| renaissance revival \| 200 east genesee street \| also known as the sa&k ( row 10 : 10 \| larned building \| 1869 \| second empire \| 114 south warren street \| 5 stories; brick row 11 : 11 \| post standard building \| 1880 \| richardsonian romanesque \| 136 east genesee street \| 5 stories; brick row 12 : 12 \| franklin buildings (portion) \| 1870 \| second empire \| 134 east genesee street \| 41⁄2 stories; brick row 13 : 13 \| franklin buildings (portion) \| None \| federal \| 132 east genesee street \| 4 stories; stone row 14 : 14 \| franklin buildings (portion) \| 1834 \| federal \| 128 east genesee street \| 4 stories; brick row 15 : 15 \| franklin buildings (portion) \| 1839 \| federal \| 122-126 east genesee street \| 5 stories; brick row 16 : 16 \| flagship securities building \| 1896 \| neo-classical \| 120 east genesee street \| 3 stories; marble and brick; albert row 17 : 17 \| onondaga county savings bank \| 1896 \| neo-classical \| 113 south salina street \| 91⁄2 stories; granite and limestone; ] Execute this SQL based on the above table: select count ( landmark name ) where style = 'federal'	6
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined mac row 1 : delaware valley college \| doylestown, pennsyl \| aggies \| 1917 \| private/non-sectarian \| 2241 \| 1965 row 2 : desales university \| center valley, pennsylvania \| bulldogs \| 1965 \| private/catholic \| 3199 \| 1997 row 3 : eastern university \| st. davids, penn \| eagles \| 1952 \| private/baptist \| 4235 \| 2008 row 4 : fairleigh dickinson university-flor \| madison, new jersey \| devils \| 1942 \| private/non-sectarian \| 3288 \| 1977 row 5 : king's college \| wilkes-barre, penn \| monarchs \| 1946 \| private/catholic \| 2725 \| 1977 row 6 : manhattanville college \| purchase, new york \| valiants \| 1841 \| private/non-sectarian \| 2695 \| 2007 row 7 : misericordia university \| dallas, pennsyl \| cougars \| 1924 \| private/catholic \| 2830 \| 2008 row 8 : wilkes university \| wilkes-barre, penn \| colonels \| 1933 \| private/non-sectarian \| 5136 \| 1946 ] Execute this SQL based on the above table: select abs ( ( select founded where location = 'center valley, pennsylvania' ) - ( select founded where location = 'doylestown, pennsylvania' ) )	48
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select notes where album = 'fine colorday'	single - contains themes for the show all purpose cultural cat girl nuku nuku
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select led the league in rebounding where id = ( select id where led the league in rebounding = 'no' ) - 1	yes
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select count ( wcc ) where wcc <= 1999	9
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select venue order by id desc limit 1	away
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select count ( single ) where position >= 3 or year >= 1999	9
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( creature (other planes) ) where page = 41	3
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select count ( notes )	11
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album where id = 1	naj, najbolja
[ 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 type in ( '1/2" (fujifilm hs30exr)' , '1/8"' ) order by diagonal (mm) desc limit 1	1/2" (fujifilm hs30exr)
[ header: year \| title \| peak chart positions aus \| peak chart positions nz \| album row 1 : 1988 \| "whisper" \| 58 \| 42 \| the sound of trees row 2 : 1988 \| "love-hate relationship" \| 81 \| 46 \| the sound of trees row 3 : 1989 \| "this illusion" \| None \| None \| the sound of trees row 4 : 1990 \| "ok alright a huh o \| 74 \| None \| ok alright a huh o row 5 : 1991 \| "heroes let you down" \| None \| None \| ok alright a huh o ] Execute this SQL based on the above table: select title where id = ( select id where title = '"this illusion"' ) + 1	"ok alright a huh o yeah"
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| album row 1 : "believe me" (featuring dave \| 2011 \| None \| None \| None \| non-album singles row 2 : "ima boss" (remix) ( \| 2011 \| 51 \| None \| None \| non-album singles row 3 : "house party" (featuring young \| 2011 \| None \| 45 \| 24 \| dreamchasers row 4 : "wild boy" (remix) (m \| 2012 \| None \| None \| None \| non-album singles row 5 : "my nigga" (remix \| 2014 \| None \| None \| None \| my krazy life ] Execute this SQL based on the above table: select peak chart positions us where year = 2011	51.0
[ header: round \| circuit \| location \| date \| pole position \| fastest lap \| winning driver \| headline event row 1 : 1 \| albert whitted airport \| st. petersburg, florid \| february 23 \| leonardo maia \| dan di leo \| leonardo maia \| grand prix of st. petersburg row 2 : 2 \| fundidora park \| monterrey \| march 23 \| leonardo maia \| david martinez \| david martinez \| monterrey grand prix row 3 : 3 \| milwaukee mile \| west allis, wisconsin \| june 1 \| victor gonzalez, j \| scott poirier \| leonardo maia \| milwaukee mile centennial 250 row 4 : 4 \| mazda raceway laguna sec \| monterey, californi \| june 15 \| memo rojas \| leonardo maia \| dan di leo \| grand prix of monterey row 5 : 5 \| portland international raceway \| portland, oregon \| june 22 \| leonardo maia \| leonardo maia \| leonardo maia \| g.i. joe's row 6 : 6 \| burke lakefront airport \| cleveland, ohio \| july 5 \| leonardo maia \| leonardo maia \| leonardo maia \| u.s. bank cleveland row 7 : 7 \| exhibition place \| toronto \| july 13 \| leonardo maia \| leonardo maia \| memo rojas \| molson indy toronto row 8 : 8 \| concord pacific place \| vancouver \| july 27 \| leonardo maia \| david martinez \| leonardo maia \| molson indy vancouver row 9 : 9 \| mid-ohio sports car course \| lexington, ohio \| august 3 \| leonardo maia \| leonardo maia \| leonardo maia \| champ car grand prix of mid-ohi row 10 : 10 \| circuit gilles villeneuve \| montreal \| august 24 \| memo rojas \| leonardo maia \| memo rojas \| molson indy montreal ] Execute this SQL based on the above table: select pole position order by round desc limit 1	memo rojas
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 14 \| 10 \| 12 \| 36 row 2 : 2 \| thailand (tha) \| 13 \| 9 \| 6 \| 28 row 3 : 3 \| south korea (kor) \| 6 \| 7 \| 10 \| 23 row 4 : 4 \| indonesia (ina) \| 6 \| 6 \| 4 \| 16 row 5 : 5 \| chinese taipei \| 3 \| 6 \| 6 \| 15 row 6 : 6 \| india (ind) \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| iran (iri) \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| japan (jpn) \| 1 \| 3 \| 2 \| 6 row 9 : 9 \| afghanistan (afg \| 1 \| 0 \| 0 \| 1 row 10 : 9 \| qatar (qat) \| 1 \| 0 \| 0 \| 1 row 11 : 11 \| philippines (phi) \| 0 \| 2 \| 2 \| 4 row 12 : 12 \| vietnam (vie) \| 0 \| 2 \| 1 \| 3 row 13 : 13 \| kazakhstan (kaz) \| 0 \| 1 \| 1 \| 2 row 14 : 13 \| pakistan (pak) \| 0 \| 1 \| 1 \| 2 row 15 : 15 \| bahrain (brn) \| 0 \| 1 \| 0 \| 1 row 16 : 15 \| turkmenistan (tkm) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| sri lanka (sr \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| bangladesh (ban) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| brunei (bru) \| 0 \| 0 \| 1 \| 1 row 20 : 18 \| laos (lao) \| 0 \| 0 \| 1 \| 1 row 21 : 18 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 22 : 18 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 23 : 18 \| singapore (sin) \| 0 \| 0 \| 1 \| 1 row 24 : total \| total \| 49 \| 49 \| 54 \| 152 ] Execute this SQL based on the above table: select nation order by silver desc limit 1	total
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 february 2011 \| stade georges pompidou, \| mali \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 11 may 2011 \| stade felix houphouet- \| namibia \| 4-1 \| 5-1 \| friendly row 3 : 3 \| 5 june 2011 \| stade de l'amitie \| benin \| 0-1 \| 2-6 \| 2012 africa cup of nations qualification - group row 4 : 4 \| 10 august 2011 \| stade de geneve, geneve, \| israel \| 1-0 \| 4-3 \| friendly row 5 : 5 \| 3 september 2011 \| stade amahoro, ki \| rwanda \| 0-4 \| 0-5 \| 2012 africa cup of nations qualification - group row 6 : 6 \| 14 november 2012 \| linzer stadion, \| austria \| 0-1 \| 0-3 \| friendly row 7 : 7 \| 14 january 2013 \| al nahyan stadium, abu \| egypt \| 4-2 \| 4-2 \| friendly row 8 : 8 \| 26 january 2013 \| royal bafokeng stadium, rustenburg \| tunisia \| 3-0 \| 3-0 \| 2013 africa cup of nations ] Execute this SQL based on the above table: select opponent order by score desc limit 1	egypt
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre row 1 : mahomed's paradies \| burleske-operette \| 1 act \| composer \| 26 february 1866 \| vienna, harmonietheater row 2 : das orakel zu delfi \| burleske-operette \| 2 acts \| carl costa \| 21 september 1872 \| linz, landestheater row 3 : konig jerome oder immer lustick \| operette \| 4 acts \| adolf schirmer \| 28 november 1878 \| vienna, ringtheater row 4 : der kleine don juan \| operette \| None \| None \| november 1879 \| budapest, deutsches theater row 5 : wiener kinder \| operette \| 3 acts \| leopold krenn and car \| 19 january 1881 \| vienna, carltheater row 6 : wiener luft \| posse mit gesang \| 3 acts \| benno rauchenegger \| 10 may 1889 \| vienna, theater an der wien row 7 : der bleiche zauberer \| indianisches lagerbild \| 1 act \| isidor fuchs, \| 20 september 1890 \| vienna, theater an der wien row 8 : die drei wunsche \| operette \| prologue and 3 acts \| leopold krenn and car \| 9 march 1901 \| vienna, carltheater row 9 : fesche geister \| operette \| prologue and 2 sections \| leopold krenn and car \| 7 july 1905 \| vienna, 'sommertheater row 10 : uber'n großen teich \| operette \| None \| adolph philipp \| 2 september 1906 \| vienna, theater an der wien row 11 : die spottvogelwirtin \| None \| 3 acts \| rudolf oesterreicher \| 1906 \| vienna row 12 : ein tolles madel (english: \| vaudeville-operette \| prologue and 2 acts \| wilhelm sterk (after: \| 24 august 1907, english version: 28 sept \| wiesbaden; english version: new york row 13 : am lido \| operette \| 1 act \| ottokar tann- \| 31 august 1907 \| vienna, kolosseum row 14 : der liebeswalzer \| operette \| 3 acts \| robert bodanzky and fr \| 24 october 1908 \| vienna, raimund theater row 15 : herr und frau biedermeier \| singspiel \| 1 act \| wilhelm sterk \| 9 january 1909 \| munich, 'kleine buhne' row 16 : ball bei hof \| operette \| 3 acts \| wilhelm sterk (after the \| 22 january 1911 \| stettin, stadttheater row 17 : in funfzig jahren - " \| burleske-operette \| 2 acts \| leopold krenn and car \| 13 january 1911 \| vienna, ronacher ] Execute this SQL based on the above table: select genre where id = ( select id where genre = 'burleske-operette' ) + 1	burleske-operette
[ header: plant name \| location \| country \| startup date \| capacity (mmtpa) \| corporation row 1 : qatargas ii \| ras laffan \| qatar \| 2009 \| 7.8 \| None row 2 : arzew gl4z \| None \| algeria \| 1964 \| 0.9 \| None row 3 : arzew gl1z \| None \| algeria \| 1978 \| None \| None row 4 : arzew gl1z \| None \| algeria \| 1997 \| 7.9 \| None row 5 : skikda gl1k \| None \| algeria \| 1981 \| None \| None row 6 : skikda gl1k \| None \| algeria \| 1999 \| 6 \| None row 7 : angola lng \| soyo \| angola \| 2013 \| 5.2 \| chevron row 8 : lumut 1 \| None \| brunei \| 1972 \| 7.2 \| None row 9 : badak a-b \| bontang \| indonesia \| 1977 \| None \| None row 10 : badak a-d \| bontang \| indonesia \| 1986 \| None \| None row 11 : badak a-e \| bontang \| indonesia \| 1989 \| None \| None row 12 : badak a-f \| bontang \| indonesia \| 1993 \| None \| None row 13 : badak a-g \| bontang \| indonesia \| 1998 \| None \| None row 14 : badak ngl a-h \| bontang \| indonesia \| 1999 \| 22.6 \| None row 15 : atlantic lng \| point fortin \| trinidad and tobago \| 1999 \| None \| atlantic lng row 16 : [atlantic lng] \| [point fortin] \| trinidad and tobago \| 2003 \| 9.9 \| atlantic lng row 17 : None \| damietta \| egypt \| 2004 \| 5.5 \| segas lng row 18 : None \| idku \| egypt \| 2005 \| 7.2 \| None row 19 : bintulu mlng 1 \| None \| malaysia \| 1983 \| 7.6 \| None row 20 : bintulu mlng 2 \| None \| malaysia \| 1994 \| 7.8 \| None row 21 : bintulu mlng 3 \| None \| malaysia \| 2003 \| 3.4 \| None row 22 : nigeria lng \| None \| nigeria \| 1999 \| 23.5 \| None row 23 : northwest shelf venture \| karratha \| australia \| 2009 \| 16.3 \| None row 24 : withnell bay \| karratha \| australia \| 1989 \| None \| None row 25 : withnell bay \| karratha \| australia \| 1995 \| (7.7) \| None row 26 : sakhalin ii \| None \| russia \| 2009 \| 9.6 \| None row 27 : yemen lng \| balhaf \| yemen \| 2008 \| 6.7 \| None row 28 : tangguh lng project \| papua barat \| indonesia \| 2009 \| 7.6 \| None row 29 : qatargas i \| ras laffan \| qatar \| 1996 \| (4.0) \| None row 30 : qatargas i \| ras laffan \| qatar \| 2005 \| 10 \| None row 31 : qatargas iii \| None \| qatar \| 2010 \| 7.8 \| None row 32 : rasgas i, i \| ras laffan \| qatar \| 1999 \| 36.3 \| None row 33 : qalhat \| None \| oman \| 2000 \| 7.3 \| None row 34 : das island i \| None \| united arab emirates \| 1977 \| None \| None row 35 : das island i and ii \| None \| united arab emirates \| 1994 \| 5.7 \| None ] Execute this SQL based on the above table: select plant name where plant name in ( 'arzew gl1z' , 'qalhat' ) order by startup date desc limit 1	qalhat
[ header: title \| character \| broadcaster \| episodes \| date row 1 : rev \| pip \| bbc two \| 1 \| 2010 row 2 : the i.t. crowd \| nikki \| channel 4 \| 1 \| 2010 row 3 : eastenders: e20 \| ava \| bbc one \| 15 \| 2011 row 4 : fresh meat \| caz \| channel 4 \| 1 \| 2011 row 5 : phoneshop \| daisy \| channel 4 \| 1 \| 2011 row 6 : holby city \| heidi hall \| bbc one \| 1 \| 2012 row 7 : plebs \| cynthia \| itv2 \| 6 \| 2013 row 8 : blandings \| valerie fanshawe \| bbc \| 2.5 \| 2014 row 9 : death in paradise \| helen walker \| bbc \| 3.4 \| 2014 ] Execute this SQL based on the above table: select episodes where episodes in ( 1 , '3.4' ) and broadcaster = 'channel 4'	1.0, 1.0, 1.0
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select team where id = ( select id where team = 'roush fenway racing' ) - 1	braun racing
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select v4 where v6 != '0%'	5%
[ header: date \| constituency \| c/u \| former incumbent \| winner \| cause row 1 : 28 april 1791 \| ludgershall \| c \| george augustus selwyn \| samuel smith \| death row 2 : 4 may 1791 \| stirling burghs \| c \| sir archibald campbell \| andrew james cochrane \| death row 3 : 21 february 1792 \| st mawes \| u \| john graves simcoe \| thomas calvert \| resignation (lieutenant governor of upper canada row 4 : 7 march 1792 \| rochester \| c \| sir richard bickerton \| nathaniel smith \| death row 5 : 7 may 1792 \| malton \| u \| william weddell \| george damer \| death row 6 : 18 may 1792 \| aberdeen burghs \| u \| alexander callender \| alexander allardyce \| death row 7 : 28 june 1792 \| liskeard \| u \| edward james el \| edward james el \| commissioner of the board of control row 8 : 15 september 1792 \| newcastle-under-lyme \| c \| john leveson gower \| william egerton \| death row 9 : 28 may 1793 \| heytesbury \| u \| the lord auckland \| the viscount clifden \| became a british peer row 10 : 26 june 1793 \| shaftesbury \| u \| william grant \| paul benfield \| appointed second justice of the south wales circuit row 11 : 28 june 1793 \| newtown \| u \| sir richard worsley \| george canning \| resignation row 12 : 15 february 1794 \| wilton \| u \| lord herbert \| philip goldsworthy \| succeeded to a peerage row 13 : 3 march 1794 \| east retford \| u \| earl of lincoln \| william henry clinton \| succeeded to a peerage row 14 : 5 april 1794 \| cambridge university \| u \| earl of euston \| earl of euston \| chief ranger of st. jame row 15 : 11 april 1794 \| perthshire \| u \| james murray \| thomas graham \| death row 16 : 9 september 1794 \| wenlock \| u \| sir henry bridgeman \| john simpson \| elevated to the peerage row 17 : 20 september 1794 \| cirencester \| u \| lord apsley \| michael hicks beach \| succeeded to a peerage row 18 : 3 october 1794 \| weymouth and melcombe regis \| u \| sir james johnstone \| gabriel tucker steward \| death row 19 : 17 october 1794 \| city durham \| u \| john tempest, jr \| sir henry vane \| death row 20 : 27 march 1795 \| east looe \| u \| william wellesley pole \| charles arbuthnot \| resignation ] Execute this SQL based on the above table: select date order by cause desc limit 1	15 february 1794
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select city where notes = 'matinee and evening performances. roger attended but did not perform'	dublin
[ header: release date \| album \| record label \| uk albums chart \| u.s. billboard 200 chart row 1 : july 1983 \| the alarm (ep) \| i.r.s. records \| None \| 126 row 2 : february 1984 \| declaration \| i.r.s. records \| 6 \| 50 row 3 : october 1985 \| strength \| i.r.s. records \| 18 \| 39 row 4 : november 1987 \| eye of the hurricane \| i.r.s. records \| 23 \| 77 row 5 : november 1988 \| electric folklore live \| i.r.s. records \| 62 \| 167 row 6 : 1988 \| compact hits \| a&m records \| None \| None row 7 : september 1989 \| change \| i.r.s. records \| 13 \| 75 row 8 : november 1990 \| standards \| i.r.s. records \| 47 \| 177 row 9 : april 1991 \| raw \| i.r.s. records \| 33 \| 161 row 10 : 2001 \| eponymous 1981-1983 \| 21st century \| None \| None row 11 : 2001 \| declaration 1984-1985 \| 21st century \| None \| None row 12 : 2001 \| strength 1985-1986 \| 21st century \| None \| None row 13 : 2001 \| eye of the hurricane 1987-1988 \| 21st century \| None \| None row 14 : 2001 \| electric folklore live 1987-1988 \| 21st century \| None \| None row 15 : 2001 \| change 1989-1990 \| 21st century \| None \| None row 16 : 2001 \| raw 1990-1991 \| 21st century \| None \| None row 17 : 21 sept 2002 \| close \| 21st century \| None \| None row 18 : october 2002 \| the normal rules do not apply \| 21st century \| None \| None row 19 : 17 dec 2002 \| trafficking \| 21st century \| None \| None row 20 : 17 dec 2002 \| edward henry street \| 21st century \| None \| None row 21 : january 2003 \| coming home \| 21st century \| None \| None row 22 : 15 jan 2003 \| live at hammersmith palais 1984 \| 21st century \| None \| None row 23 : 23 june 2003 \| the alarm ep - 20th anniversary \| 21st century \| None \| None row 24 : 17 jul 2003 \| live at glasgow garage \| 21st century \| None \| None row 25 : 17 jul 2003 \| live at liverpool masque theatre \| 21st century \| None \| None row 26 : 17 jul 2003 \| live at london mean fiddle \| 21st century \| None \| None row 27 : 19 oct 2003 \| the sound and the fury \| shakedown records \| None \| None row 28 : 2004 \| live in the poppyfields \| snapper music \| None \| None row 29 : 2005 \| alt-strength \| 21st century \| None \| None row 30 : 2006 \| under attack \| liberty \| 138 \| None row 31 : 2006 \| the best of the alarm and mike pe \| emi \| None \| None row 32 : 2006 \| alarm mmv - the satur \| 21st century \| None \| None row 33 : 2007 \| the collection \| emi gold \| None \| None row 34 : july 2007 \| three sevens clash \| 21st century \| None \| None row 35 : august 2007 \| fightback \| 21st century \| None \| None row 36 : september 2007 \| this is not a test \| 21st century \| None \| None row 37 : november 2007 \| call to action \| 21st century \| None \| None row 38 : december 2007 \| 1983/84 \| 21st century \| None \| None row 39 : january 2008 \| counter attack \| 21st century \| None \| None row 40 : 2008 \| guerilla tactics \| 21st century \| None \| None row 41 : 2008 \| the alarm - bbc radio sessions \| 21st century \| None \| None ] Execute this SQL based on the above table: select album order by id desc limit 1	the alarm - bbc radio sessions 1983-1991
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select abs ( ( select distance from wellington where closed = 'open' ) - ( select distance from wellington where closed = 'open' ) )	0.0
[ header: round \| opponent \| result \| brisbane \| opponent \| date \| venue \| crowd \| position \| bye row 1 : bocc \| celtic crusaders \| win \| 32 \| 6 \| 15 feb \| brewery field \| 2000 \| None \| 0 row 2 : wcc \| st helens \| loss \| 14 \| 18 \| 23 feb \| reebok stadium \| 23207 \| None \| 0 row 3 : trial match \| canberra raiders \| win \| 18 \| 12 \| 24 feb \| dolphin oval \| None \| None \| 0 row 4 : trial match \| melbourne storm \| loss \| 0 \| 46 \| 3 mar \| princes park \| 8273 \| None \| 0 row 5 : 1 \| north queensland cowboys \| loss \| 16 \| 23 \| 16 mar \| suncorp stadium \| 50416 \| 12/16 \| 0 row 6 : 2 \| new zealand warriors \| loss \| 14 \| 24 \| 25 mar \| mt smart stadium \| 16738 \| 12/16 \| 0 row 7 : 5 \| gold coast titans \| loss \| 16 \| 28 \| 13 apr \| suncorp stadium \| 47686 \| 13/16 \| 0 row 8 : 6 \| newcastle knights \| win \| 20 \| 16 \| 22 apr \| energyaustralia stadium \| 25524 \| 11/16 \| 0 row 9 : 7 \| melbourne storm \| loss \| 18 \| 28 \| 27 apr \| suncorp stadium \| 33750 \| 13/16 \| 0 row 10 : 8 \| south sydney rabbitohs \| win \| 8 \| 4 \| 4 may \| suncorp stadium \| 27387 \| 12/16 \| 0 row 11 : 9 \| cronulla sharks \| loss \| 8 \| 16 \| 11 may \| toyota park \| 12262 \| 13/16 \| 0 row 12 : 10 \| manly sea eagles \| loss \| 6 \| 18 \| 21 may \| brookvale oval \| 13493 \| 14/16 \| 0 row 13 : 11 \| newcastle knights \| win \| 71 \| 6 \| 27 may \| suncorp stadium \| 27433 \| 12/16 \| 0 row 14 : 12 \| st george illawarra \| loss \| 4 \| 11 \| 1 jun \| oki jubilee stadium \| 10302 \| 15/16 \| 0 row 15 : 13 \| None \| None \| None \| None \| None \| None \| None \| 12/16 \| 1 row 16 : 14 \| canterbury bulldogs \| win \| 19 \| 12 \| 15 jun \| telstra stadium \| 10121 \| 10/16 \| 0 row 17 : 15 \| wests tigers \| win \| 48 \| 18 \| 25 jun \| suncorp stadium \| 29364 \| 9/16 \| 0 row 18 : 16 \| penrith panthers \| win \| 24 \| 16 \| 30 jun \| cua stadium \| 8553 \| 7/16 \| 0 row 19 : 17 \| gold coast titans \| win \| 19 \| 18 \| 6 jul \| suncorp stadium \| 48621 \| 6/16 \| 0 row 20 : 18 \| north queensland cowboys \| win \| 24 \| 16 \| 13 jul \| dairy farmers stadium \| 25126 \| 5/16 \| 0 row 21 : 19 \| parramatta eels \| loss \| 16 \| 20 \| 23 jul \| suncorp stadium \| 25702 \| 5/16 \| 0 row 22 : 20 \| cronulla sharks \| win \| 30 \| 16 \| 29 jul \| suncorp stadium \| 24563 \| 5/16 \| 0 row 23 : 21 \| manly sea eagles \| loss \| 8 \| 21 \| 5 aug \| suncorp stadium \| 35784 \| 6/16 \| 0 row 24 : 22 \| melbourne storm \| loss \| 6 \| 14 \| 12 aug \| olympic park \| None \| 7/16 \| 0 row 25 : 23 \| canterbury bulldogs \| loss \| 24 \| 25 \| 17 aug \| suncorp stadium \| 35199 \| 9/16 \| 0 row 26 : 24 \| canberra raiders \| win \| 30 \| 19 \| 26 aug \| suncorp stadium \| 31614 \| 8/16 \| 0 ] Execute this SQL based on the above table: select opponent where opponent = 'celtic crusaders'	6
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select year where year > 2013 order by year asc limit 1	2014
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select constructor where constructor = 'toro rosso-ferrari'	toro rosso-ferrari, toro rosso-ferrari
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select competition where # = ( select min ( # ) )	friendly
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 12, 1982 \| at new york jets \| w 45-28 \| 53,360 row 2 : 2 \| september 19, 1982 \| baltimore colts \| w 24-20 \| 51,999 row 3 : 3 \| november 21, 1982 \| at buffalo bills \| w 9-7 \| 52,945 row 4 : 4 \| november 29, 1982 \| at tampa bay buccaneers \| l 17-23 \| 65,854 row 5 : 5 \| december 5, 1982 \| minnesota vikings \| w 22-14 \| 45,721 row 6 : 6 \| december 12, 1982 \| at new england patriots \| l 0-3 \| 25,716 row 7 : 7 \| december 18, 1982 \| new york jets \| w 20-19 \| 67,702 row 8 : 8 \| december 27, 1982 \| buffalo bills \| w 27-10 \| 73,924 row 9 : 9 \| january 2, 1983 \| at baltimore colts \| w 34-7 \| 19,073 ] Execute this SQL based on the above table: select opponent where week = ( select week where opponent = 'at new york jets' ) + 1	baltimore colts
[ header: event \| performance \| athlete \| nation \| place \| date row 1 : 100 m \| 9.72 \| usain bolt \| jamaica \| new york city ny, usa \| may 31 row 2 : 100 m \| 9.69 \| usain bolt \| jamaica \| beijing, china \| august 16 row 3 : 200 m \| 19.3 \| usain bolt \| jamaica \| beijing, china \| august 20 row 4 : 4 x 100 m relay \| 37.1 \| nesta carter michael frater \| jamaica \| beijing, china \| august 22 row 5 : 110 m hurdles \| 12.87 \| dayron robles \| cuba \| ostrava, czech republic \| june 12 row 6 : 50 km race walk \| 3:34:14 \| denis nizhegorodov \| russia \| cheboksary, russia \| may 11 row 7 : marathon \| 2:03:59 \| haile gebrselassie \| ethiopia \| berlin, germany \| september 28 ] Execute this SQL based on the above table: select date order by performance desc limit 1	august 22
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where team = 'konrad motorsport'	1
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select position where id = ( select id where position = '8th' ) + 1	21st
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select name where id = 1	globe building
[ header: no. \| dub no. \| english dubbed title / english subbed title original japanese title \| original air date \| english air date row 1 : 6 \| None \| "protect the melody of love! usagi is \| april 18, 1992 \| None row 2 : 9 \| 6 \| "time bomb" / "usagi' \| may 9, 1992 \| september 18, 1995 row 3 : 12 \| 9 \| "cruise blues" / " \| may 30, 1992 \| september 21, 1995 row 4 : 14 \| 11 \| "match point for sailor moon" \| june 13, 1992 \| september 25, 1995 row 5 : 19 \| 16 \| "who is that masked man?" \| july 25, 1992 \| october 2, 1995 row 6 : 24 \| 20 \| "a friend in wolf's clothing" \| august 29, 1992 \| october 6, 1995 row 7 : 26 \| 22 \| "the power of friendship" / "b \| september 12, 1992 \| october 10, 1995 row 8 : 34 \| 30 \| "a crystal clear destiny" / "the \| november 28, 1992 \| october 20, 1995 row 9 : 36 \| 32 \| "bad hair day" / "usagi \| december 12, 1992 \| october 24, 1995 row 10 : 40 \| 36 \| "last resort" / "the legendary lake \| january 16, 1993 \| october 30, 1995 ] Execute this SQL based on the above table: select count ( * ) ( select english dubbed title / english subbed title original japanese title group by english dubbed title / english subbed title original japanese title having count ( * ) > ( select count ( * ) where english dubbed title / english subbed title original japanese title = '"a crystal clear destiny" / "the sparkling silver crystal! the moon princess appears" "hikari kagayaku ginzuisho! tsuki no purinsesu tojo" (光輝く銀水晶!月のフリンセス登場)' ) )	10
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( state/territory ) where population (2011) = 1048240	1
[ header: jamo \| hangul compatibility \| hangul jamo area \| hanyang private use \| halfwidth row 1 : ᅷ \| None \| u+1177 \| u+f809 \| None row 2 : ᅣ \| u+3151 \| u+1163 \| u+f80c \| u+ffc4 row 3 : ᅹ \| None \| u+1179 \| u+f80e \| None row 4 : ᅺ \| None \| u+117a \| u+f812 \| None row 5 : ᅼ \| None \| u+117c \| u+f814 \| None row 6 : ᅽ \| None \| u+117d \| u+f818 \| None row 7 : ᅨ \| u+3156 \| u+1168 \| u+f81a \| u+ffcb row 8 : ᅩ \| u+3157 \| u+1169 \| u+f81b \| u+ffcc row 9 : ᅩᅤ \| None \| u+11a7 \| u+f81f \| None row 10 : ᆀ \| None \| u+1180 \| u+f821 \| None row 11 : ᅩᅧ \| None \| u+d7b0 \| u+f822 \| None row 12 : ᅩᅩᅵ \| None \| u+d7b1 \| u+f825 \| None row 13 : ᆃ \| None \| u+1183 \| u+f826 \| None row 14 : ᅭᅢ \| None \| u+d7b3 \| u+f82a \| None row 15 : ᆄ \| u+3187 \| u+1184 \| u+f82b \| None row 16 : ᆊ \| None \| u+118a \| u+f833 \| None row 17 : ᅯ \| u+315d \| u+116f \| u+f834 \| u+ffd4 row 18 : ᆋ \| None \| u+118b \| u+f835 \| None row 19 : ᅰ \| u+315e \| u+1170 \| u+f836 \| u+ffd5 row 20 : ᅮᅧ \| None \| u+d7b5 \| u+f837 \| None row 21 : ᆍ \| None \| u+118d \| u+f839 \| None row 22 : ᅱ \| u+315f \| u+1171 \| u+f83a \| u+ffd6 row 23 : ᆎ \| None \| u+118e \| u+f83d \| None row 24 : ᅲᅢ \| None \| u+d7b7 \| u+f83e \| None row 25 : ᆐ \| None \| u+1190 \| u+f840 \| None row 26 : ᆑ \| u+318a \| u+1191 \| u+f841 \| None row 27 : ᆒ \| u+318b \| u+1192 \| u+f842 \| None row 28 : ᅲᅩ \| None \| u+d7b8 \| u+f843 \| None row 29 : ᆓ \| None \| u+1193 \| u+f844 \| None row 30 : ᆔ \| u+318c \| u+1194 \| u+f845 \| None row 31 : ᅳᅡ \| None \| u+d7b9 \| u+f847 \| None row 32 : ᅳᅥ \| None \| u+d7ba \| u+f848 \| None row 33 : ᆖ \| None \| u+1196 \| u+f84c \| None row 34 : ᅵ \| u+3163 \| u+1175 \| u+f84f \| u+ffdc row 35 : ᅵᅣᅩ \| None \| u+d7bd \| u+f852 \| None row 36 : ᅵᅤ \| None \| u+d7be \| u+f853 \| None ] Execute this SQL based on the above table: select hanyang private use where id = ( select id where hanyang private use = 'u+f836' ) - 1	u+f835
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select notes where tornadoes = ( select tornadoes where notes = 'produced several strong tornadoes, including an f4 killer tornado that hit galveston, texas' ) + 1	only one tornado below f2 strength in minnesota. the towns of albert lea and waseca were devastated by deadly f4s
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 26 \| paul tracy \| team kool green \| 225 \| 1:48:49.169 \| 6 \| 20 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 225 \| 5.88 \| 3 \| 16 row 3 : 3 \| 5 \| gil de ferran \| walker racing \| 225 \| 6.456 \| 16 \| 14 row 4 : 4 \| 12 \| jimmy vasser \| chip ganassi racing \| 225 \| 7.937 \| 2 \| 12 row 5 : 5 \| 40 \| adrian fernandez \| patrick racing \| 225 \| 9.929 \| 18 \| 10 row 6 : 6 \| 11 \| christian fittipaldi \| newman-haas racing \| 225 \| 11.251 \| 13 \| 8 row 7 : 7 \| 27 \| dario franchitti \| team kool green \| 225 \| 12.578 \| 4 \| 6 row 8 : 8 \| 17 \| mauricio gugelmin \| pacwest racing \| 225 \| 15.223 \| 12 \| 5 row 9 : 9 \| 33 \| patrick carpentier \| forsythe racing \| 224 \| +1 lap \| 8 \| 4 row 10 : 10 \| 4 \| juan pablo montoya \| chip ganassi racing \| 224 \| +1 lap \| 5 \| 3+1 row 11 : 11 \| 25 \| cristiano da matta \| arciero-wells racing \| 224 \| +1 lap \| 7 \| 2 row 12 : 12 \| 18 \| roberto moreno \| pacwest racing \| 223 \| +2 laps \| 9 \| 1 row 13 : 13 \| 7 \| max papis \| team rahal \| 222 \| +3 laps \| 17 \| None row 14 : 14 \| 36 \| alex barron \| all american racing \| 222 \| +3 laps \| 10 \| None row 15 : 15 \| 6 \| michael andretti \| newman-haas racing \| 222 \| +3 laps \| 11 \| None row 16 : 16 \| 19 \| michel jourdain, j \| payton/coyne racing \| 222 \| +3 laps \| 21 \| None row 17 : 17 \| 24 \| scott pruett \| arciero-wells racing \| 222 \| +3 laps \| 15 \| None row 18 : 18 \| 44 \| tony kanaan \| forsythe racing \| 221 \| +4 laps \| 20 \| None row 19 : 19 \| 2 \| al unser, jr \| marlboro team penske \| 221 \| +4 laps \| 22 \| None row 20 : 20 \| 20 \| p. j. jones \| patrick racing \| 219 \| +6 laps \| 14 \| None row 21 : 21 \| 10 \| richie hearn \| della penna motorsports \| 219 \| +6 laps \| 19 \| None row 22 : 22 \| 34 \| dennis vitolo \| payton/coyne racing \| 212 \| +13 laps \| 26 \| None row 23 : 23 \| 16 \| shigeaki hattori \| bettenhausen racing \| 118 \| contact \| 24 \| None row 24 : 24 \| 22 \| robby gordon \| team gordon \| 83 \| electrical \| 23 \| None row 25 : 25 \| 8 \| bryan herta \| team rahal \| 81 \| handling \| 25 \| None row 26 : 26 \| 9 \| helio castro-neves \| hogan racing \| 30 \| turbo boost \| 1 \| 1 ] Execute this SQL based on the above table: select ( select grid where team = 'payton/coyne racing' ) - ( select grid where team = 'arciero-wells racing' )	14.0
[ header: year \| winner \| album \| other finalists row 1 : 2002 \| che fu \| navigator \| dark tower - canterbury drafts row 2 : 2003 \| nesian mystik \| polysaturated \| deceptikonz - elimination p row 3 : 2004 \| scribe \| the crusader \| king kapisi - 2nd row 4 : 2005 \| p-money \| magic city \| tha feelstyle - break it to row 5 : 2006 \| frontline \| borrowed time \| nesian mystik - fresh row 6 : 2007 \| pnc \| rookie card \| 4 corners - the foundations decepti row 7 : 2008 \| scribe \| rhyme book \| mareko - white sunday 2: the row 8 : 2009 \| ladi6 \| time is not much \| savage - savage row 9 : 2010 \| david dallas \| something awesome \| j. williams - young row 10 : 2011 \| ladi6 \| the liberation of \| david dallas - the rose row 11 : 2012 \| home brew \| home brew \| adeaze - rise & row 12 : 2013 \| aaradhna \| treble & reverb \| at peace - girl songs p-money ] Execute this SQL based on the above table: select album where winner != 'ladi6'	navigator, polysaturated, the crusader, magic city, borrowed time, rookie card, rhyme book, something awesome, home brew, treble & reverb
[ 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 count ( winner )	21
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select count ( * ) where nation = 'canada'	1
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select character where м > 140	unicode, utf-8, numeric character reference, koi8-r and koi8-u, code page 855, windows-1251, iso-8859-5
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select ( select round where trophy winner = 'silvio alberti' ) < ( select round where trophy winner = 'nino fama' )	0
[ header: first name \| surname \| death year \| beginning of service \| end of service \| notes row 1 : pilzbach \| johann adam \| 1802 \| 1772 \| 1776 \| None row 2 : fritsch \| lorenz \| None \| 1794 \| 1798 \| None row 3 : aizele \| matthias \| 1856 \| 1812 \| 1836 \| None row 4 : bottka \| paul \| 1872 \| 1836 \| 1845 \| None row 5 : bartl \| anton \| 1897 \| 1870 \| 1893 \| None row 6 : loschardt \| ferdinand \| 1914 \| 1893 \| 1899 \| None row 7 : gehl \| othmar \| 1951 \| 1892 \| 1903 \| None row 8 : schutz \| nikolaus \| None \| 1899 \| 1901 \| None row 9 : eisele \| matthias \| 1944 \| 1901 \| 1906 \| None row 10 : dietl \| august gustav \| 1928 \| 1901 \| 1912 \| None row 11 : misenko \| josef \| None \| 1902 \| 1909 \| None row 12 : palya \| matthias \| 1915 \| 1903 \| 1915 \| None row 13 : elsner \| josef \| 1965 \| 1911 \| 1926 \| None row 14 : schrotz \| stefan \| 1967 \| 1912 \| 1923 \| None row 15 : fulda \| paul \| None \| 1922 \| None \| None row 16 : rudolf \| josef \| None \| 1912 \| 1921 \| None row 17 : waltner \| josef \| 1986 \| 1920 \| 1923 \| None row 18 : szekely \| franz \| None \| 1923 \| 1930 \| None row 19 : lischerong \| matthias \| 1950 \| 1925 \| 1950 \| None row 20 : strubert \| peter \| 1956 \| 1924 \| 1932 \| None row 21 : lindnder \| wendelin \| None \| 1925 \| 1929 \| None row 22 : juhasz \| tibor \| None \| 1930 \| 1938 \| None row 23 : benz \| johannes \| 1985 \| 1936 \| 1942 \| None row 24 : hardt \| alfons \| None \| 1927 \| 1930 \| None row 25 : hampel \| karl \| None \| 1934 \| 1937 \| None row 26 : willw \| andreas \| None \| 1941 \| 1946 \| None row 27 : gerstenengst \| josef \| 1992 \| 1946 \| 1958 \| None row 28 : lackner \| paul \| 1987 \| 1946 \| 1987 \| None row 29 : borth \| nikolaus pater gottfried \| None \| 1958 \| 1959 \| None row 30 : neu \| anton \| None \| 1963 \| 1965 \| None row 31 : fritz \| anton \| None \| 1972 \| 1974 \| None row 32 : hajdu \| josef \| None \| 1974 \| 1976 \| None row 33 : hoher \| otto \| 2006 \| 1976 \| 1978 \| None row 34 : nagy \| carol \| None \| 1979 \| 1987 \| None row 35 : mutiu \| petru \| None \| 1983 \| None \| None row 36 : matei \| peter gottlieb \| None \| 1983 \| 1988 \| None row 37 : pal \| jozsef csaba \| None \| 1987 \| None \| None row 38 : szocs \| laszlo \| None \| 1987 \| 1988 \| None row 39 : catici \| gheorghe \| None \| 1988 \| 1992 \| None row 40 : balogh \| andras \| None \| 1988 \| 1989 \| None row 41 : ebenspanger \| ferenc \| None \| 1989 \| 1990 \| None row 42 : debert \| reiner \| None \| 1993 \| 1994 \| None row 43 : conceanga \| ulderic \| None \| 1997/2001 \| 2003 \| None row 44 : tampu \| petru \| None \| 1999 \| 2001 \| None row 45 : rebegila \| petru \| None \| 2004 \| 2006 \| None ] Execute this SQL based on the above table: select count ( * ) where surname = 'johann adam'	1
[ header: opponent \| goals \| wins \| draws \| losses \| +- goals \| matches \| qualified \| eliminated row 1 : partizani tirane \| 28-25 \| 13 \| 7 \| 8 \| + 3 \| 28 \| 9 \| 7 row 2 : dinamo tirane \| 30-42 \| 8 \| 6 \| 15 \| -12 \| 29 \| 8 \| 8 row 3 : ks vllazni \| 25-18 \| 13 \| 4 \| 8 \| + 7 \| 25 \| 9 \| 6 row 4 : ks teuta \| 29-17 \| 8 \| 9 \| 4 \| 12 \| 21 \| 6 \| 7 row 5 : ks elbasani \| 40-17 \| 11 \| 4 \| 4 \| 23 \| 19 \| 8 \| 2 row 6 : ks skenderbeu \| 18- 5 \| 9 \| 1 \| 1 \| 13 \| 11 \| 7 \| 1 row 7 : ks lushnja \| 41-15 \| 13 \| 4 \| 5 \| 26 \| 22 \| 8 \| 3 row 8 : luftetari gjirok \| 19- 3 \| 5 \| 0 \| 0 \| 16 \| 5 \| 3 \| None row 9 : beselidhja lezhe \| 14- 2 \| 5 \| 0 \| 1 \| 12 \| 6 \| 3 \| None row 10 : kf naftetari \| 5- 0 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 11 : kf laci \| 13- 4 \| 5 \| 2 \| 1 \| + 9 \| 8 \| 2 \| 1 row 12 : ks shkumbini \| 19- 8 \| 6 \| 0 \| 0 \| 11 \| 6 \| 2 \| None row 13 : ks sopoti librazh \| 17- 7 \| 2 \| 3 \| 1 \| 10 \| 6 \| 3 \| None row 14 : ks albpetrol \| 19- 3 \| 5 \| 0 \| 1 \| 16 \| 6 \| 3 \| None row 15 : ks burreli \| 1- 2 \| 1 \| 0 \| 1 \| - 1 \| 2 \| 0 \| 1 row 16 : ks kamza \| 9- 2 \| 4 \| 0 \| 0 \| + 7 \| 4 \| 1 \| None row 17 : kf erzeni shija \| 13- 3 \| 6 \| 0 \| 0 \| 10 \| 6 \| 3 \| None row 18 : ks shkendija \| 8- 5 \| 2 \| 2 \| 0 \| + 3 \| 4 \| 2 \| None row 19 : ks turbina cerrik \| 13- 3 \| 3 \| 1 \| 0 \| 10 \| 4 \| 2 \| None row 20 : ks terbuni puke \| 8- 3 \| 3 \| 1 \| 0 \| + 5 \| 4 \| 2 \| None row 21 : ks iliria \| 7- 2 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 22 : kf cakrani \| 3- 1 \| 1 \| 0 \| 1 \| + 2 \| 2 \| 1 \| None row 23 : ks ada velip \| 5- 2 \| 1 \| 1 \| 0 \| + 3 \| 2 \| 1 \| None row 24 : kf skrapari \| 5- 0 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 25 : luzi 2008 \| 4- 3 \| 1 \| 0 \| 1 \| + 1 \| 2 \| 1 \| None row 26 : dinamo shkoder \| 3- 0 \| 1 \| 0 \| 0 \| + 3 \| 1 \| 1 \| None row 27 : garnizoni durres \| 4- 0 \| 1 \| 0 \| 0 \| + 4 \| 1 \| 1 \| None row 28 : albanet \| 3- 0 \| 1 \| 0 \| 0 \| + 3 \| 1 \| 1 \| None row 29 : sk himare \| 10- 1 \| 2 \| 0 \| 0 \| + 9 \| 2 \| 1 \| None row 30 : 40 opponents \| 592-272 \| 195 \| 62 \| 65 \| 320 \| 322 \| 173 \| 44 ] Execute this SQL based on the above table: select count ( losses ) where qualified > 9	1
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select name where name = 'francisco sanchez' and rank < 455	francisco sanchez
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select count ( winner ) where delta > ( select delta where winner = 'liberty' )	2
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select time where id = 3	7:00 pm
[ header: album title \| format \| year \| original label \| chart positions row 1 : distant plastic trees \| lp \| 1991 \| red flame \| None row 2 : the wayward bus \| lp \| 1992 \| popup \| None row 3 : the house of tomorrow \| ep \| 1992 \| feel good all over \| None row 4 : the charm of the highway strip \| lp \| 1994 \| merge records \| None row 5 : holiday \| lp \| 1994 \| feel good all over \| None row 6 : get lost \| lp \| 1995 \| merge records \| None row 7 : 69 love songs \| lp \| 1999 \| merge records \| None row 8 : i \| lp \| 2004 \| nonesuch records \| #152 (billboard 200) row 9 : distortion \| lp \| 2008 \| nonesuch records \| #77 (billboard 200) row 10 : realism \| lp \| 2010 \| nonesuch records \| #110 (billboard 200) row 11 : love at the bottom of the sea \| lp \| 2012 \| merge records \| #89 (billboard 200) ] Execute this SQL based on the above table: select count ( * ) where album title = '1992'	0
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select count ( national championship ) where country = 'australia'	1
[ header: staple: \| maize / corn \| rice \| wheat \| potato \| cassava \| soybean (green) \| sweet potato \| sorghum \| yam \| plantain row 1 : component (per 100g portion) \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount row 2 : water (g) \| 10 \| 12 \| 13 \| 79 \| 60 \| 68 \| 77 \| 9 \| 70 \| 65 row 3 : energy (kj) \| 1528 \| 1528 \| 1369 \| 322 \| 670 \| 615 \| 360 \| 1419 \| 494 \| 511 row 4 : protein (g) \| 9.4 \| 7.1 \| 12.6 \| 2 \| 1.4 \| 13 \| 1.6 \| 11.3 \| 1.5 \| 1.3 row 5 : fat (g) \| 4.74 \| 0.66 \| 1.54 \| 0.09 \| 0.28 \| 6.8 \| 0.05 \| 3.3 \| 0.17 \| 0.37 row 6 : carbohydrates (g) \| 74 \| 80 \| 71 \| 17 \| 38 \| 11 \| 20 \| 75 \| 28 \| 32 row 7 : fiber (g) \| 7.3 \| 1.3 \| 12.2 \| 2.2 \| 1.8 \| 4.2 \| 3 \| 6.3 \| 4.1 \| 2.3 row 8 : sugar (g) \| 0.64 \| 0.12 \| 0.41 \| 0.78 \| 1.7 \| 0 \| 4.18 \| 0 \| 0.5 \| 15 row 9 : calcium (mg) \| 7 \| 28 \| 29 \| 12 \| 16 \| 197 \| 30 \| 28 \| 17 \| 3 row 10 : iron (mg) \| 2.71 \| 0.8 \| 3.19 \| 0.78 \| 0.27 \| 3.55 \| 0.61 \| 4.4 \| 0.54 \| 0.6 row 11 : phosphorus (mg) \| 210 \| 115 \| 288 \| 57 \| 27 \| 194 \| 47 \| 287 \| 55 \| 34 row 12 : potassium (mg) \| 287 \| 115 \| 363 \| 421 \| 271 \| 620 \| 337 \| 350 \| 816 \| 499 row 13 : sodium (mg) \| 35 \| 5 \| 2 \| 6 \| 14 \| 15 \| 55 \| 6 \| 9 \| 4 row 14 : zinc (mg) \| 2.21 \| 1.09 \| 2.65 \| 0.29 \| 0.34 \| 0.99 \| 0.3 \| 0 \| 0.24 \| 0.14 row 15 : copper (mg) \| 0.31 \| 0.22 \| 0.43 \| 0.11 \| 0.1 \| 0.13 \| 0.15 \| None \| 0.18 \| 0.08 row 16 : manganese (mg) \| 0.49 \| 1.09 \| 3.99 \| 0.15 \| 0.38 \| 0.55 \| 0.26 \| None \| 0.4 \| None row 17 : selenium (μg) \| 15.5 \| 15.1 \| 70.7 \| 0.3 \| 0.7 \| 1.5 \| 0.6 \| 0 \| 0.7 \| 1.5 row 18 : vitamin c (mg) \| 0 \| 0 \| 0 \| 19.7 \| 20.6 \| 29 \| 2.4 \| 0 \| 17.1 \| 18.4 row 19 : thiamin (mg) \| 0.39 \| 0.07 \| 0.3 \| 0.08 \| 0.09 \| 0.44 \| 0.08 \| 0.24 \| 0.11 \| 0.05 row 20 : riboflavin (mg) \| 0.2 \| 0.05 \| 0.12 \| 0.03 \| 0.05 \| 0.18 \| 0.06 \| 0.14 \| 0.03 \| 0.05 row 21 : pantothenic acid (mg) \| 0.42 \| 1.01 \| 0.95 \| 0.3 \| 0.11 \| 0.15 \| 0.8 \| None \| 0.31 \| 0.26 row 22 : vitamin b6 (mg) \| 0.62 \| 0.16 \| 0.3 \| 0.3 \| 0.09 \| 0.07 \| 0.21 \| None \| 0.29 \| 0.3 row 23 : folate total (μg) \| 19 \| 8 \| 38 \| 16 \| 27 \| 165 \| 11 \| 0 \| 23 \| 22 row 24 : vitamin a (iu) \| 214 \| 0 \| 9 \| 2 \| 13 \| 180 \| 14187 \| 0 \| 138 \| 1127 ] Execute this SQL based on the above table: select count ( staple: )	25
[ header: name \| metres \| feet row 1 : marmolada \| 3343 \| 10968 row 2 : antelao \| 3264 \| 10706 row 3 : tofana di mezzo \| 3241 \| 10633 row 4 : punta sorapis \| 3229 \| 10594 row 5 : monte civetta \| 3220 \| 10564 row 6 : vernel \| 3145 \| 10319 row 7 : cristallo \| 3221 \| 10568 row 8 : cima di vezzana \| 3192 \| 10470 row 9 : cimon della pala \| 3184 \| 10453 row 10 : langkofel / sas \| 3181 \| 10427 row 11 : pelmo \| 3169 \| 10397 row 12 : dreischusterspitze \| 3162 \| 10375 row 13 : boespitze / piz boe ( \| 3152 \| 10342 row 14 : croda rossa (h \| 3148 \| 10329 row 15 : piz popena \| 3143 \| 10312 row 16 : grohmannspitze (langkofel \| 3126 \| 10256 row 17 : zwolferkofel \| 3094 \| 10151 row 18 : elferkofel \| 3092 \| 10144 row 19 : sass rigais ( \| 3025 \| 9925 row 20 : kesselkogel (rosengarten \| 3004 \| 9856 row 21 : tre cime di lavaredo \| 2999 \| 9839 row 22 : funffingerspitze \| 2997 \| 9833 row 23 : pala di san martino \| 2982 \| 9831 row 24 : rosengartenspitze / catinacci \| 2981 \| 9781 row 25 : marmarole \| 2961 \| 9715 row 26 : cima di fradusta \| 2941 \| 9649 row 27 : monte agner \| 2872 \| 9416 row 28 : fermedaturm \| 2867 \| 9407 row 29 : cima d'asta \| 2848 \| 9344 row 30 : cima di canali \| 2846 \| 9338 row 31 : croda grande \| 2839 \| 9315 row 32 : vajoletturm / torri \| 2821 \| 9256 row 33 : sass maor \| 2816 \| 9239 row 34 : cima di ball \| 2783 \| 9131 row 35 : cima della madonna ( \| 2751 \| 9026 row 36 : rosetta \| 2741 \| 8993 row 37 : croda da lago \| 2716 \| 8911 row 38 : central grasleitenspitze \| 2705 \| 8875 row 39 : schlern \| 2562 \| 8406 row 40 : sasso di mur \| 2554 \| 8380 row 41 : cima delle dodici \| 2338 \| 7671 row 42 : monte pavione \| 2336 \| 7664 row 43 : cima di posta \| 2235 \| 7333 row 44 : monte pasubio \| 2232 \| 7323 ] Execute this SQL based on the above table: select count ( name ) where name = 'monte agner'	1
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 1 \| delta state \| None \| m.m. roberts \| w 12-0 \| 17590 row 2 : september 8 \| at #13 alabama \| None \| legion field • birmingham, al \| w 27-24 \| 75962 row 3 : september 15 \| at georgia \| None \| sanford stadium • athens, \| l 17-18 \| 79812 row 4 : september 22 \| at mississippi state \| None \| scott field • starkville, m \| l 10-13 \| 40115 row 5 : september 29 \| louisville \| None \| m.m. roberts \| w 25-13 \| 20545 row 6 : october 6 \| at east carolina \| None \| ficklen memorial stadium • greenville, \| w 16-7 \| 31305 row 7 : october 13 \| at tulane \| None \| louisiana superdome • new orle \| w 20-14 \| 26662 row 8 : october 20 \| memphis state \| None \| m.m. roberts \| w 23-7 \| 24520 row 9 : october 27 \| at virginia tech \| None \| lane stadium • blacksburg, va \| l 16-20 \| 37462 row 10 : november 3 \| at sw louisiana \| None \| cajun field • lafayette, \| w 14-13 \| 17860 row 11 : november 10 \| at #15 auburn \| None \| jordan-hare stadium • auburn \| w 13-12 \| 85214 row 12 : december 28 \| vs. nc state \| #23 \| legion field • birmingham, al \| l 27-31 \| 44000 ] Execute this SQL based on the above table: select site order by attendance limit 1	m.m. roberts stadium • hattiesburg, ms
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select team group by team order by count ( player ) desc limit 1	detroit pistons
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select count ( * ) where rank < 1	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select regular season order by division desc limit 1	5th, northwest
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select count ( place ) where season > 160	9
[ header: rank \| npc \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 95 \| 71 \| 65 \| 231 row 2 : 2 \| russia (rus) \| 36 \| 38 \| 28 \| 102 row 3 : 3 \| great britain (gbr) \| 34 \| 43 \| 43 \| 120 row 4 : 4 \| ukraine (ukr) \| 32 \| 24 \| 28 \| 84 row 5 : 5 \| australia (aus) \| 32 \| 23 \| 30 \| 85 row 6 : 6 \| united states (usa) \| 31 \| 29 \| 38 \| 98 row 7 : 7 \| brazil (bra) \| 21 \| 14 \| 8 \| 43 row 8 : 8 \| germany (ger) \| 18 \| 26 \| 22 \| 66 row 9 : 9 \| poland (pol) \| 14 \| 13 \| 9 \| 36 row 10 : 10 \| netherlands (ned) \| 10 \| 10 \| 19 \| 39 row 11 : total (75 npcs) \| total (75 npcs) \| 503 \| 503 \| 516 \| 1522 ] Execute this SQL based on the above table: select npc where total > 1257	total (75 npcs)
[ header: rank \| name \| notability \| birthplace \| advocate row 1 : 10 \| wayne gretzky \| hockey player, holder of numerous nh \| brantford, ontario \| deborah grey row 2 : 9 \| alexander graham bell \| scientist, inventor, founder of the bell telephone company \| edinburgh, scotl \| evan solomon row 3 : 8 \| sir john a. macdonal \| first prime minister of canada \| glasgow, scotland \| charlotte gray row 4 : 7 \| don cherry \| hockey coach and commentator \| kingston, ontario \| bret hart row 5 : 6 \| lester b. pearson \| fourteenth prime minister of canada, united nations general \| toronto, ontario \| paul gross row 6 : 5 \| david suzuki \| environmentalist \| vancouver, british columb \| melissa auf der maur row 7 : 4 \| sir frederick banting \| medical scientist, co-discoverer of insulin \| alliston, ontario \| mary walsh row 8 : 3 \| pierre trudeau \| fifteenth prime minister of canada \| montreal, quebec \| rex murphy row 9 : 2 \| terry fox \| athlete, activist, humanitarian \| winnipeg, manitob \| sook-yin lee row 10 : 1 \| tommy douglas \| father of medicare, premier of sa \| falkirk, scotland \| george stroumboulopoulos ] Execute this SQL based on the above table: select rank order by rank desc limit 1	10
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select car where car in ( 'citroen c4 wrc' , 'ford focus rs wrc 07' ) order by car asc limit 1	citroen c4 wrc
[ 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 sum ( notes ) where id <= 2	10000.0
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select class aaa where class aa > ( select class aa where class a = 'loop' ) order by class aa asc limit 1	pearsall
[ 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 cruise (km/h) where cruise (km/h) in ( 912 , 270 ) order by model limit 1	912
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select count ( item ) where item = 'wellington hurricanes player tana umaga hit team-mate chris masoe with a roxy handbag at the "jolly poacher" bar in christchurch after masoe got into an altercation with a patron. the owner of the bag auctioned it via trademe for $22,750, generating a large media-story and over 1 million page-views before the auction closed'	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select count ( date ) where category > vehicle	3
[ header: staple: \| maize / corn \| rice \| wheat \| potato \| cassava \| soybean (green) \| sweet potato \| sorghum \| yam \| plantain row 1 : component (per 100g portion) \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount row 2 : water (g) \| 10 \| 12 \| 13 \| 79 \| 60 \| 68 \| 77 \| 9 \| 70 \| 65 row 3 : energy (kj) \| 1528 \| 1528 \| 1369 \| 322 \| 670 \| 615 \| 360 \| 1419 \| 494 \| 511 row 4 : protein (g) \| 9.4 \| 7.1 \| 12.6 \| 2 \| 1.4 \| 13 \| 1.6 \| 11.3 \| 1.5 \| 1.3 row 5 : fat (g) \| 4.74 \| 0.66 \| 1.54 \| 0.09 \| 0.28 \| 6.8 \| 0.05 \| 3.3 \| 0.17 \| 0.37 row 6 : carbohydrates (g) \| 74 \| 80 \| 71 \| 17 \| 38 \| 11 \| 20 \| 75 \| 28 \| 32 row 7 : fiber (g) \| 7.3 \| 1.3 \| 12.2 \| 2.2 \| 1.8 \| 4.2 \| 3 \| 6.3 \| 4.1 \| 2.3 row 8 : sugar (g) \| 0.64 \| 0.12 \| 0.41 \| 0.78 \| 1.7 \| 0 \| 4.18 \| 0 \| 0.5 \| 15 row 9 : calcium (mg) \| 7 \| 28 \| 29 \| 12 \| 16 \| 197 \| 30 \| 28 \| 17 \| 3 row 10 : iron (mg) \| 2.71 \| 0.8 \| 3.19 \| 0.78 \| 0.27 \| 3.55 \| 0.61 \| 4.4 \| 0.54 \| 0.6 row 11 : phosphorus (mg) \| 210 \| 115 \| 288 \| 57 \| 27 \| 194 \| 47 \| 287 \| 55 \| 34 row 12 : potassium (mg) \| 287 \| 115 \| 363 \| 421 \| 271 \| 620 \| 337 \| 350 \| 816 \| 499 row 13 : sodium (mg) \| 35 \| 5 \| 2 \| 6 \| 14 \| 15 \| 55 \| 6 \| 9 \| 4 row 14 : zinc (mg) \| 2.21 \| 1.09 \| 2.65 \| 0.29 \| 0.34 \| 0.99 \| 0.3 \| 0 \| 0.24 \| 0.14 row 15 : copper (mg) \| 0.31 \| 0.22 \| 0.43 \| 0.11 \| 0.1 \| 0.13 \| 0.15 \| None \| 0.18 \| 0.08 row 16 : manganese (mg) \| 0.49 \| 1.09 \| 3.99 \| 0.15 \| 0.38 \| 0.55 \| 0.26 \| None \| 0.4 \| None row 17 : selenium (μg) \| 15.5 \| 15.1 \| 70.7 \| 0.3 \| 0.7 \| 1.5 \| 0.6 \| 0 \| 0.7 \| 1.5 row 18 : vitamin c (mg) \| 0 \| 0 \| 0 \| 19.7 \| 20.6 \| 29 \| 2.4 \| 0 \| 17.1 \| 18.4 row 19 : thiamin (mg) \| 0.39 \| 0.07 \| 0.3 \| 0.08 \| 0.09 \| 0.44 \| 0.08 \| 0.24 \| 0.11 \| 0.05 row 20 : riboflavin (mg) \| 0.2 \| 0.05 \| 0.12 \| 0.03 \| 0.05 \| 0.18 \| 0.06 \| 0.14 \| 0.03 \| 0.05 row 21 : pantothenic acid (mg) \| 0.42 \| 1.01 \| 0.95 \| 0.3 \| 0.11 \| 0.15 \| 0.8 \| None \| 0.31 \| 0.26 row 22 : vitamin b6 (mg) \| 0.62 \| 0.16 \| 0.3 \| 0.3 \| 0.09 \| 0.07 \| 0.21 \| None \| 0.29 \| 0.3 row 23 : folate total (μg) \| 19 \| 8 \| 38 \| 16 \| 27 \| 165 \| 11 \| 0 \| 23 \| 22 row 24 : vitamin a (iu) \| 214 \| 0 \| 9 \| 2 \| 13 \| 180 \| 14187 \| 0 \| 138 \| 1127 ] Execute this SQL based on the above table: select staple: order by soybean (green) desc limit 1	potassium (mg)
[ header: type \| manufacturer \| numbers \| year built \| quantity built \| power (horsepower) \| max speed (km/h) \| note row 1 : rhn \| hitachi \| 1011-1048 (power cars) 11- \| 1967 \| 38+38 \| 220 \| 90 \| now use as a northeastern line commute row 2 : rts \| tokyu \| d9-d16 (power cars) \| 1971 \| 8+4 \| 220 \| 70 \| ex-mahachai railways, row 3 : thn \| tokyu, hitachi and nippo \| 1101-1140 \| 1983 \| 40 \| 235 \| 105 \| similar to nkf row 4 : nkf \| nippon sharyo, hitachi \| 1201-1264, (center) 2101 \| 1985 \| 64+12 \| 235 \| 105 \| similar to thn, but with plastic chairs row 5 : asr (class 158 express sprinter) \| brel, derby works \| 2501-2512, (center) 2113-2 \| 1991 \| 12+8 \| 285 \| 120 \| metre gauge version of british rail row 6 : apd .20 \| daewoo heavy industries \| 2513-2524 (center) 2121-21 \| 1995 \| 10+8 \| 298 \| 120 \| first batch, narrow body row 7 : apd .60 \| daewoo heavy industries \| 2525-2544 \| 1996 \| 20+40 \| 298 \| 120 \| second batch, wide body ] Execute this SQL based on the above table: select type order by quantity built desc limit 1	nkf
[ header: finalist \| age \| from \| dress colour \| status row 1 : laura sicurello \| 26 \| milton keynes \| yellow \| eliminated 1st in week 1 row 2 : belinda evans \| 28 \| somerset \| dark blue \| eliminated 2nd in week 2 row 3 : meliz serman \| 23 \| chingford, london \| gold \| eliminated 3rd in week 3 row 4 : simona armstrong \| 28 \| romania \| purple \| eliminated 4th in week 4 row 5 : leanne dobinson \| 20 \| colchester \| lilac \| eliminated 5th in week 4 row 6 : abi finley \| 23 \| manchester \| light blue \| eliminated 6th in week 5 row 7 : aoife mulholland \| 28 \| salthill \| green \| eliminated 7th in week 5 row 8 : siobhan dillon \| 21 \| staffordshire \| red \| third place row 9 : helena blackman \| 23 \| southampton \| pink \| second place row 10 : connie fisher \| 23 \| pembrokeshire \| orange \| winner ] Execute this SQL based on the above table: select dress colour where dress colour != 'orange' and from = 'manchester'	light blue
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select location where id = 1	gonzales
[ header: season \| team \| country \| competition \| matches \| goals row 1 : 1999 \| djurgardens if \| sweden \| allsvenskan \| 15 \| 1 row 2 : 2000 \| djurgardens if \| sweden \| superettan \| 15 \| 3 row 3 : 2001 \| djurgardens if \| sweden \| allsvenskan \| 22 \| 7 row 4 : 2002-2003 \| grazer ak \| austria \| bundesliga \| 24 \| 6 row 5 : 2003 \| denizlispor \| turkey \| super lig \| 3 \| 0 row 6 : 2003 \| landskrona bois \| sweden \| allsvenskan \| 11 \| 3 row 7 : 2004 \| landskrona bois \| sweden \| allsvenskan \| 22 \| 4 row 8 : 2005 \| djurgardens if \| sweden \| allsvenskan \| 24 \| 12 row 9 : 2006 \| djurgardens if \| sweden \| allsvenskan \| 17 \| 6 row 10 : 2007 \| djurgardens if \| sweden \| allsvenskan \| 23 \| 4 row 11 : 2008 \| djurgardens if \| sweden \| allsvenskan \| 29 \| 6 row 12 : 2008-09 \| esbjerg fb \| denmark \| superliga \| 6 \| 0 row 13 : 2010 \| aab \| denmark \| superliga \| 3 \| 1 row 14 : 2011 \| assyriska ff \| sweden \| superettan \| 19 \| 5 row 15 : total \| total \| total \| total \| 233 \| 58 ] Execute this SQL based on the above table: select min ( country )	austria
[ 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 successful defenses <= 6	wba (super), wbc, the ring, wbo, wba (super)
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select position + school where rd = 25	0
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select count ( year begun ) where named trains = 'royal blue'	1
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select abs ( ( select role where role = 'executive producer' ) - ( select role where role = 'karl schiller' ) )	0
[ header: rank \| peak name \| elevation \| location \| notes row 1 : 1 \| saka haphong/mowd \| 3,465 ft \| thanchi,bandarban \| unofficially the highest peak of banglades row 2 : 2 \| zow tlang/mowd \| 3,353 ft \| thanchi,bandarban \| elevation measured during the summit expedition by travelers of ban row 3 : 3 \| dumlong \| 3,314 ft \| belaichori,rangamati \| highest peak in rangamati. elevation measured row 4 : 4 \| jogi haphong \| 3,251 ft \| thanchi,bandarban \| elevation measured during the summit expedition by travelers of ban row 5 : 5 \| keokradong \| 3,235 ft \| ruma,bandarban \| most popular trekking route in bangladesh row 6 : 6 \| rang tlang \| unmeasured \| belaichori,rangamati \| None row 7 : 7 \| thingdawl te t \| 3,149 ft \| ruma,bandarban \| highest peak of lowmbok row range. elevation row 8 : 8 \| mukhra thutha \| 3,129 ft \| belaichori,rangamati \| elevation measured during the summit expedition by bd row 9 : 9 \| kapital/capital \| 3,090 ft \| ruma,bandarban \| this flat mountain top once used as a hide row 10 : 10 \| kreikung taung \| 3,083 ft \| ruma,bandarban \| elevation measured during the summit expedition by bd row 11 : 11 \| taung mey \| 3,060 ft \| ruma,bandarban \| near keokradong peak row 12 : 12 \| laisra haphong \| 3,041 ft \| belaichori,rangamati \| elevation measured during the summit expedition by bd row 13 : 13 \| rang tlang 2 \| unmeasured \| belaichori,rangamati \| None row 14 : 14 \| nasai hum \| 3,005 ft \| thanchi,bandarban \| most south-east corner peak of banglades ] Execute this SQL based on the above table: select peak name , elevation where id = ( select id where peak name = 'mukhra thuthai haphong' ) + 1	kapital/capital, 3,090 ft
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select name where name != 'harald steindorfer' and rank = 14	christos papapetrou
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select population % where growth (1991-2001) > ( select growth (1991-2001) where population % = '0.72%' ) order by growth (1991-2001) limit 1	1.87%
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select count ( notes ) where name = 'ferdinando vicari'	0
[ header: rank \| heat \| country \| cyclists \| result \| notes row 1 : 1 \| 6 \| great britain \| chris hoy jason kenn \| 42.95 \| q, wr row 2 : 2 \| 7 \| france \| gregory bauge kevin \| 43.541 \| q row 3 : 3 \| 6 \| germany \| rene enders maximilian \| 44.197 \| q row 4 : 4 \| 7 \| netherlands \| theo bos teun mul \| 44.213 \| q row 5 : 5 \| 5 \| australia \| daniel ellis mark french \| 44.335 \| q row 6 : 6 \| 1 \| japan \| kiyofumi nagai \| 44.454 \| q row 7 : 7 \| 3 \| malaysia \| azizulhasni awang jos \| 44.752 \| q row 8 : 8 \| 2 \| united states \| michael blatchford \| 45.346 \| q row 9 : 9 \| 4 \| china \| feng yong li we \| 45.556 \| None row 10 : 10 \| 3 \| greece \| athanasios mantz \| 45.645 \| None row 11 : 11 \| 2 \| czech republic \| tomas babek adam \| 45.678 \| None row 12 : 12 \| 5 \| russia \| sergey polynskiy denis \| 45.964 \| None row 13 : 13 \| 1 \| poland \| maciej bielecki kamil \| 45.266 \| None ] Execute this SQL based on the above table: select count ( notes ) where heat = 1989	0
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select abs ( +/- - +/- ) where # of overall seats won = '0 / 497'	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia (rus) \| 3 \| 1 \| 1 \| 5 row 2 : 2 \| canada (can) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| germany (ger) \| 1 \| 3 \| 2 \| 6 row 4 : 4 \| france (fra) \| 0 \| 1 \| 2 \| 3 row 5 : 5 \| belarus (blr) \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| ukraine (ukr) \| 0 \| 0 \| 1 \| 1 row 7 : None \| total \| 6 \| 6 \| 6 \| 18 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'canada (can)' ) + 1	germany (ger)

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: name \| club \| position \| years \| current status \| international caps row 1 : frank farina \| sydney fc \| fw \| 1982-83 \| coaching \| 67 row 2 : robbie hooker \| None \| df \| 1984-85 \| coaching \| 22 row 3 : jason polak \| None \| mf \| 1985-87 \| retired \| 28 row 4 : jason van blerk \| None \| mf \| 1986 \| coaching \| 33 row 5 : ned zelic \| None \| df \| 1988 \| media \| 34 row 6 : shaun murphy \| None \| df \| 1988 \| retired \| 27 row 7 : kevin muscat \| melbourne victory \| df \| 1990-91 \| coaching \| 51 row 8 : goran lozanovski \| None \| mf \| 1990-91 \| retired \| 9 row 9 : josip skoko \| None \| mf \| 1992-93 \| coaching \| 51 row 10 : mark viduka \| None \| fw \| 1992-93 \| retired \| 43 row 11 : lucas neill \| sydney fc \| df \| 1994-95 \| playing \| 89 row 12 : vince grella \| None \| mf \| 1996 \| retired \| 46 row 13 : simon colosimo \| melbourne heart \| df \| 1996-97 \| playing \| 26 row 14 : mile sterjovski \| central coast mariners \| mf \| 1996-98 \| playing \| 43 row 15 : ljubo milicevic \| free agent \| df \| 1997-98 \| playing \| 8 row 16 : luke wilkshire \| fc dynamo moscow \| mf \| 1997-98 \| playing \| 74 row 17 : jade north \| brisbane roar \| df \| 1999 \| playing \| 39 row 18 : nathan coe \| melbourne victory \| gk \| 2000-01 \| playing \| 3 row 19 : alex brosque \| al ain fc \| fw \| 2001 \| playing \| 7 row 20 : carl valeri \| sassuolo \| mf \| 2001-02 \| playing \| 50 row 21 : adam federici \| reading \| gk \| 2001-02 \| playing \| 8 row 22 : mark milligan \| melbourne victory \| df \| 2002 \| playing \| 19 row 23 : robbie kruse \| fortuna dusseldorf \| fw \| 2005-06 \| playing \| 21 row 24 : mitchell langerak \| borussia dortmund \| gk \| 2005-06 \| playing \| 0 row 25 : bruce djite \| adelaide united \| fw \| 2006 \| playing \| 9 row 26 : matthew spiranovic \| western sydney wanderers \| df \| 2006 \| playing \| 16 row 27 : nathan burns \| newcastle jets \| mf \| 2006 \| playing \| 7 row 28 : apostolos giannou \| platanias \| fw \| 2007 \| playing \| 0 row 29 : terry antonis \| sydney fc \| mf \| 2009 \| playing \| 0 row 30 : kerem bulut \| akhisar belediyespor \| fw \| 2009 \| playing \| 0 ] Execute this SQL based on the above table: select international caps order by international caps limit 1	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation in ( 'egypt' , 'angola' , 'ivory coast' ) order by nation asc limit 1	angola
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( position ) where year = 0	0
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select enrollment where id = ( select id where enrollment = 1230 ) + 1	1750
[ header: type \| power [w] \| relative cost \| input range [v] \| energy storage \| features row 1 : flyback \| 0-250 \| 1 \| 5-600 \| mutual inductors \| isolated form of the buck-boost row 2 : ringing choke converter (rcc) \| 0-150 \| 1 \| 5-600 \| transformer \| low-cost self-oscillating row 3 : half-forward \| 0-250 \| 1.2 \| 5-500 \| inductor \| None row 4 : forward \| 100-200 \| None \| 60-200 \| inductor \| isolated form of buck converter row 5 : resonant forward \| 0-60 \| 1 \| 60-400 \| inductor and capacitor \| single rail input, unregulated output, high efficiency row 6 : push-pull \| 100-1,000 \| 1.75 \| 50-1,000 \| inductor \| None row 7 : half-bridge \| 0-2,000 \| 1.9 \| 50-1,000 \| inductor \| None row 8 : full-bridge \| 400-5,000 \| >2.0 \| 50-1,000 \| inductor \| very efficient use of transformer, used for highest powers row 9 : resonant, zero voltage switched \| >1,000 \| >2.0 \| None \| inductor and capacitor \| None row 10 : isolated cuk \| None \| None \| None \| two capacitors and two inductors \| None ] Execute this SQL based on the above table: select count ( * )	10
[ header: year \| title \| role \| notes row 1 : 1978 \| the big fix \| pool man \| None row 2 : 1979 \| french postcards \| sayyid \| None row 3 : 1979 \| last embrace \| first commuter \| None row 4 : 1980 \| night of the juggler \| allesandro the cabbie \| None row 5 : 1981 \| ragtime \| tateh \| None row 6 : 1983 \| yentl \| avigdor \| nominated-golden globe award for best row 7 : 1983 \| daniel \| paul isaacson \| None row 8 : 1985 \| maxie \| nick \| None row 9 : 1986 \| tenku no shiro rap \| louis \| None row 10 : 1987 \| the princess bride \| inigo montoya \| None row 11 : 1988 \| alien nation \| detective samuel 'ge \| nominated-saturn award for best row 12 : 1988 \| the house on carroll street \| ray salwen \| None row 13 : 1990 \| dick tracy \| 88 keys \| None row 14 : 1991 \| true colors \| john palmeri \| None row 15 : 1991 \| impromptu \| alfred de musset \| None row 16 : 1991 \| the doctor \| dr. murray kaplan \| None row 17 : 1993 \| the music of chance \| jim nashe \| None row 18 : 1993 \| life with mikey \| irate man \| None row 19 : 1994 \| squanto: a warrior's \| brother daniel \| None row 20 : 1998 \| lulu on the bridge \| philip kleinman \| None row 21 : 1998 \| men with guns \| andrew \| None row 22 : 1999 \| the adventures of elmo in \| huxley \| None row 23 : 2001 \| pinero \| joseph papp \| None row 24 : 2002 \| run ronnie run \| himself \| None row 25 : 2003 \| celebrity train layouts: mandy patin \| himself \| None row 26 : 2005 \| the choking man \| rick \| None row 27 : 2006 \| everyone's hero \| stanley irving \| None row 28 : 2010 \| 4.3.2.1 ... the countdown begins \| jago l \| None row 29 : 2014 \| wish i was here \| saul bloom \| None ] Execute this SQL based on the above table: select year where role = 'andrew'	1998
[ header: year \| driver \| co-driver \| car \| notes row 1 : 1996 \| karim hirji \| frank nekusa \| toyota celica st \| run under fia rules as the great lakes rally row 2 : 1997 \| chipper adams \| justin beyendeza \| toyota supra \| run as the pearl of africa uganda row 3 : 1998 \| charles muhangi \| steven byaruhanga \| subaru impreza \| None row 4 : 1999 \| chipper adams \| justin beyendeza \| toyota supra \| None row 5 : 2000 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 6 : 2001 \| None \| None \| None \| event not run row 7 : 2002 \| johnny gemmel \| robert paisley \| subaru impreza wrx \| None row 8 : 2003 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 9 : 2004 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 10 : 2005 \| riyaz kurji \| sayed kadri \| subaru impreza n10 \| None row 11 : 2006 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| crew run under kenyan licence row 12 : 2007 \| conrad rautenbach \| peter marsh \| subaru impreza n10 \| None row 13 : 2008 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 14 : 2009 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| price granted posthumously row 15 : 2010 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 16 : 2011 \| ponsiano lwakataka \| musa nsubuga \| subaru impreza n8 \| None row 17 : 2012 \| mohammed essa \| greg stead \| subaru impreza n12 \| None row 18 : 2013 \| jas mangat \| gihan de silva \| mitsubishi lancer evo x \| None ] Execute this SQL based on the above table: select count ( year ) where car = 'subaru impreza n10'	4
[ header: rank \| team \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| final row 1 : silver \| italy (ita) italy \| eugenio monti, \| 1:17.69 \| 1:17.97 \| 1:18.13 \| 1:18.31 \| 5:12.10 row 2 : bronze \| united states (usa) usa i \| arthur tyler, william \| 1:17.75 \| 1:17.87 \| 1:18.25 \| 1:18.52 \| 5:12.39 row 3 : 4 \| switzerland (sui) \| max angst, aby gar \| 1:17.41 \| 1:17.85 \| 1:18.68 \| 1:20.33 \| 5:14.27 row 4 : 7 \| austria (aut) austria i \| kurt loserth, wil \| 1:19.37 \| 1:19.12 \| 1:20.08 \| 1:19.72 \| 5:18.29 row 5 : 8 \| germany (ger) germany ii \| franz schelle, jako \| 1:19.03 \| 1:18.84 \| 1:19.31 \| 1:21.35 \| 5:18.50 row 6 : 9 \| spain (esp) spain \| alfonso de portago, \| 1:18.87 \| 1:19.27 \| 1:21.37 \| 1:19.08 \| 5:19.49 row 7 : 11 \| norway (nor) norway i \| arne røgden, ar \| 1:20.96 \| 1:20.08 \| 1:20.45 \| 1:20.01 \| 5:21.50 row 8 : 13 \| sweden (swe) s \| kjell holmstrom, \| 1:20.58 \| 1:20.32 \| 1:21.15 \| 1:21.13 \| 5:23.18 row 9 : 16 \| sweden (swe) s \| olle axelsson, \| 1:18.95 \| 1:19.98 \| 1:22.75 \| 1:21.86 \| 5:23.54 row 10 : 18 \| france (fra) france \| andre robin, pierre bouvier \| 1:20.00 \| 1:21.25 \| 1:20.95 \| 1:21.63 \| 5:23.83 row 11 : 21 \| poland (pol) poland \| aleksy konieczny \| None \| None \| None \| None \| 5:28.40 ] Execute this SQL based on the above table: select ( select run 2 where rank = 'bronze' ) - ( select run 2 where rank = 8 )	0
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select date order by id desc limit 1	5 may 1934
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| leicester city \| 1-2 \| manchester united \| 14 february 1976 row 2 : 2 \| bolton wanderers \| 3-3 \| newcastle united \| 14 february 1976 row 3 : replay \| newcastle united \| 0-0 \| bolton wanderers \| 18 february 1976 row 4 : replay \| bolton wanderers \| 1-2 \| newcastle united \| 23 february 1976 row 5 : 3 \| wolverhampton wanderers \| 3-0 \| charlton athletic \| 14 february 1976 row 6 : 4 \| west bromwich albion \| 1-1 \| southampton \| 14 february 1976 row 7 : replay \| southampton \| 4-0 \| west bromwich albion \| 17 february 1976 row 8 : 5 \| derby county \| 1-0 \| southend united \| 14 february 1976 row 9 : 6 \| norwich city \| 1-2 \| bradford city \| 23 february 1976 row 10 : 7 \| chelsea \| 2-3 \| crystal palace \| 14 february 1976 row 11 : 8 \| stoke city \| 0-0 \| sunderland \| 14 february 1976 row 12 : replay \| sunderland \| 2-1 \| stoke city \| 17 february 1976 ] Execute this SQL based on the above table: select home team where tie no > ( select tie no where home team = 'west bromwich albion' )	derby county, norwich city, chelsea, stoke city
[ header: parish est \| church \| city \| current bldg begun \| weekly collections \| notes row 1 : 1846 \| shrine of the immaculate conception \| atlanta \| 1869 \| $10,000 \| row 2 : 1880 \| sacred heart basilica \| atlanta \| 1897 \| $18,000 \| row 3 : 1903 \| saint anthony of padua cat \| atlanta \| 1911 \| None \| row 4 : 1912 \| our lady of lourdes catholic church \| atlanta \| 1960 \| None \| row 5 : 1936 \| cathedral of christ the king \| atlanta \| 1937 \| $70,000 \| row 6 : 1941 \| saint thomas more catholic church \| decatur \| 1952 \| $23,000 \| row 7 : 1951 \| our lady of the assumption catholic church \| atlanta \| 1957 \| $16,000 \| row 8 : 1954 \| saint paul of the cross catholic church \| atlanta \| 1957 \| None \| row 9 : 1958 \| immaculate heart of mary catholic church \| atlanta \| 2006 \| $26,000 \| row 10 : 1960 \| saint jude the apostle catholic church \| atlanta \| 1962 \| None \| row 11 : 1960 \| saint luke the evangelist \| dahlonega \| 1898 \| $4,500 \| row 12 : 1960 \| most blessed sacrament catholic church \| atlanta \| 1989 \| $4,000 \| row 13 : 1964 \| catholic church of the holy cross \| atlanta \| 1989 \| None \| row 14 : 1964 \| holy spirit catholic church \| atlanta \| 1977 \| None \| row 15 : 1965 \| our lady of perpetual help catholic church \| carrollton \| 1962 \| $9,000 \| row 16 : 1984 \| christ our hope catholic church \| lithonia \| 2000 \| None \| row 17 : 1999 \| saint francis de sales catholic church \| mableton \| 1999 \| None \| row 18 : 2000 \| saint brigid catholic church \| johns creek \| 2002 \| $50,000 \| ] Execute this SQL based on the above table: select abs ( ( select weekly collections where current bldg begun = 1989 ) - ( select weekly collections where current bldg begun = 2002 ) )	46000.0
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| the memories \| "if it means losing you" \| 57 \| 8th row 2 : 2 \| ann breen \| "oh, darling" \| 80 \| 4th row 3 : 3 \| fran meen \| "say that you love me" \| 66 \| 6th row 4 : 4 \| dreams \| "sin sin ("that's that") \| 73 \| 5th row 5 : 5 \| connor stevens \| "count on me" \| 88 \| 3rd row 6 : 6 \| linda martin and friends \| "all the people in the world" \| 105 \| 2nd row 7 : 7 \| maggie toal \| "feed him with love" \| 61 \| 7th row 8 : 8 \| liam reilly \| "somewhere in europe" \| 130 \| 1st ] Execute this SQL based on the above table: select artist where place = '5th'	dreams
[ 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 constructor order by time/retired limit 1	jordan-toyota
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select geographic coordinates where fips = 62775	37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w
[ header: year \| competition \| venue \| position \| notes row 1 : 2006 \| iaaf world athletics final \| stuttgart, germany \| 5th \| 110 m hurdles row 2 : 2007 \| world championships \| osaka, japan \| 4th (semis) \| 110 m hurdles row 3 : 2008 \| world indoor championships \| valencia, spain \| 4th (semis) \| 60 m hurdles row 4 : 2008 \| olympic games \| beijing, china \| 3rd \| 110 m hurdles row 5 : 2008 \| iaaf world athletics final \| stuttgart, germany \| 1st \| 110 m hurdles row 6 : 2010 \| world indoor championships \| doha, qatar \| 3rd \| 60 m hurdles row 7 : 2010 \| 2010 diamond league \| multiple locations \| 1st \| 110 m hurdles row 8 : 2013 \| 2013 diamond league \| multiple locations \| 1st \| 110 m hurdles row 9 : 2013 \| world championships \| moscow, russia \| 1st \| 110 m hurdles ] Execute this SQL based on the above table: select year where competition = '2010 diamond league'	2010
[ 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 venue order by # asc limit 1	olympic stadium (amsterdam), amsterdam, netherland
[ header: lift name \| type \| top elevation (ft) \| bottom elevation \| vertical rise \| length (ft) \| slope (%) \| capacity (rides/hr) \| speed (ft/min) \| lift manufacturer \| year installed row 1 : bruno \| fixed double \| 5885 \| 5840 \| 45 \| 368 \| 12% \| 630 \| 300 \| poma \| 1987 row 2 : molly's express \| detach quad \| 5835 \| 4990 \| 845 \| 5244 \| 16% \| 1200 \| 1000 \| doppelmayr \| 2000 row 3 : pucci \| fixed triple \| 5920 \| 5350 \| 570 \| 3398 \| 17% \| 1330 \| 450 \| poma \| 1987 row 4 : stormin' norman \| detach quad \| 6245 \| 5460 \| 785 \| 4396 \| 18% \| 1500 \| 1000 \| doppelmayr \| 2000 row 5 : magic mile express \| detach quad \| 6990 \| 5915 \| 1075 \| 5359 \| 20% \| 1600 \| 950 \| poma \| 1992 row 6 : palmer express \| detach quad \| 8470 \| 6940 \| 1530 \| 5468 \| 29% \| 1800 \| 1000 \| doppelmayr \| 1996 row 7 : jeff flood express (still creek basin) \| detach quad \| 6020 \| 4850 \| 1170 \| 6506 \| 18% \| 1800 \| 1000 \| doppelmayr \| 2007 ] Execute this SQL based on the above table: select slope (%) where id = ( select id where slope (%) = '18%' ) - 1	17%
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : 1 \| 4 \| petra chocova \| czech republic \| 31.44 \| q row 2 : 2 \| 5 \| sycerika mcma \| ireland \| 31.51 \| q row 3 : 3 \| 6 \| concepcion badillo diaz \| spain \| 31.66 \| q row 4 : 4 \| 1 \| katharina stiberg \| norway \| 31.84 \| q row 5 : 5 \| 3 \| hrafnhildur \| iceland \| 31.95 \| q row 6 : 6 \| 8 \| anastasia christoforou \| cyprus \| 31.98 \| None row 7 : 7 \| 2 \| ivana ninkovic \| bosnia and herzegovin \| 32.26 \| None row 8 : 8 \| 7 \| jenna laukkanen \| finland \| 32.26 \| None ] Execute this SQL based on the above table: select notes where time = '31.95'	q
[ header: \| landmark name \| date built \| style \| location \| description row 1 : 1 \| gridley building \| 1867 \| second empire \| 101 east water street \| also known as the onondaga county savings row 2 : 2 \| gere bank building \| 1894 \| louis sullivan type \| 121 east water street \| 5 stories; built of granite, brick and row 3 : 3 \| phoenix buildings (portion) \| 1834 \| federal \| 123 east water street \| 4 stories; brick row 4 : 4 \| phillips block \| 1834 \| federal \| 125-127 east water street \| 4 stories; brick row 5 : 5 \| phoenix buildings (portion) \| 1834 \| federal \| 129 east water street \| 4 stories; brick row 6 : 6 \| dana building \| 1837, 1861 \| federal, italianate \| 135 east water street \| italianate top floor added in 1861; 4 row 7 : 7 \| grange building \| 1925 \| commercial \| 203 east water street \| originally an auto dealership; 4 stories; brown brick row 8 : 8 \| state tower building \| 1927 \| art deco \| 109 south warren street \| 22 stories; brick and limestone; tho row 9 : 9 \| granger block \| 1869, 1894 \| renaissance revival \| 200 east genesee street \| also known as the sa&k ( row 10 : 10 \| larned building \| 1869 \| second empire \| 114 south warren street \| 5 stories; brick row 11 : 11 \| post standard building \| 1880 \| richardsonian romanesque \| 136 east genesee street \| 5 stories; brick row 12 : 12 \| franklin buildings (portion) \| 1870 \| second empire \| 134 east genesee street \| 41⁄2 stories; brick row 13 : 13 \| franklin buildings (portion) \| None \| federal \| 132 east genesee street \| 4 stories; stone row 14 : 14 \| franklin buildings (portion) \| 1834 \| federal \| 128 east genesee street \| 4 stories; brick row 15 : 15 \| franklin buildings (portion) \| 1839 \| federal \| 122-126 east genesee street \| 5 stories; brick row 16 : 16 \| flagship securities building \| 1896 \| neo-classical \| 120 east genesee street \| 3 stories; marble and brick; albert row 17 : 17 \| onondaga county savings bank \| 1896 \| neo-classical \| 113 south salina street \| 91⁄2 stories; granite and limestone; ] Execute this SQL based on the above table: select count ( landmark name ) where style = 'federal'	6
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined mac row 1 : delaware valley college \| doylestown, pennsyl \| aggies \| 1917 \| private/non-sectarian \| 2241 \| 1965 row 2 : desales university \| center valley, pennsylvania \| bulldogs \| 1965 \| private/catholic \| 3199 \| 1997 row 3 : eastern university \| st. davids, penn \| eagles \| 1952 \| private/baptist \| 4235 \| 2008 row 4 : fairleigh dickinson university-flor \| madison, new jersey \| devils \| 1942 \| private/non-sectarian \| 3288 \| 1977 row 5 : king's college \| wilkes-barre, penn \| monarchs \| 1946 \| private/catholic \| 2725 \| 1977 row 6 : manhattanville college \| purchase, new york \| valiants \| 1841 \| private/non-sectarian \| 2695 \| 2007 row 7 : misericordia university \| dallas, pennsyl \| cougars \| 1924 \| private/catholic \| 2830 \| 2008 row 8 : wilkes university \| wilkes-barre, penn \| colonels \| 1933 \| private/non-sectarian \| 5136 \| 1946 ] Execute this SQL based on the above table: select abs ( ( select founded where location = 'center valley, pennsylvania' ) - ( select founded where location = 'doylestown, pennsylvania' ) )	48
[ header: release date \| album \| catalog number \| chart position \| notes row 1 : march 5, 1991 \| niji-iro no sneaker \| kida-15 \| 43 \| single row 2 : march 21, 1991 \| half and half \| kics-100 \| 45 \| album row 3 : march 5, 1992 \| whatever \| kics-176 \| 18 \| album row 4 : june 24, 1992 \| yume wo dakishimet \| kida-42 \| 90 \| single - magical princess minky momo theme row 5 : august 5, 1992 \| haruneko fushigi t \| kida-45 \| 49 \| single - all purpose cultural cat girl nuku row 6 : march 24, 1993 \| our goody day...bokura no good day \| kida-54 \| 54 \| single row 7 : august 23, 1993 \| shamrock \| kics-345 \| 12 \| album row 8 : may 25, 1994 \| until strawberry sherbet \| kida-81 \| 42 \| single - contains themes for bakuret row 9 : november 3, 1994 \| touch and go!! \| kida-90 \| 37 \| single - contain themes for the show blue seed row 10 : december 21, 1994 \| pulse \| tycy-5413 \| 84 \| single (re-release) row 11 : july 2, 1994 \| sphere \| kics-430 \| 8 \| album row 12 : july 21, 1995 \| midnight blue \| kida-108 \| 27 \| single - slayers the motion picture row 13 : december 6, 1995 \| going history \| kida-124 \| 25 \| single - slayers extra theme row 14 : may 22, 1996 \| kagirinai yokubou \| kida-134 \| 20 \| single - slayers special ova row 15 : october 23, 1996 \| successful mission \| kida-138 \| 7 \| single - contains themes for saber row 16 : april 23, 1997 \| don't be discouraged \| kida-148 \| 4 \| single - slayers try ending row 17 : august 6, 1997 \| iravati \| kics-640 \| 5 \| album row 18 : february 4, 1998 \| fine colorday \| kida-158 \| 9 \| single - contains themes for the show all purpose row 19 : september 4, 1998 \| a house cat \| kida-165 \| 6 \| single - contains themes to the show all purpose row 20 : october 10, 1998 \| proof of myself \| kida-170 \| 9 \| single saber marionette j row 21 : june 21, 2000 \| vintage a \| kics-810 \| 4 \| greatest hits compilation row 22 : october 25, 2000 \| unsteady \| kida-204 \| 14 \| single - contains themes from muteki row 23 : july 21, 2001 \| maemuki roketto \| zmcp-1259 \| 62 \| pocket monsters 12th ending single row 24 : august 29, 2001 \| over soul \| kicm-3016 \| 7 \| single - shaman king themes row 25 : december 5, 2001 \| feel well \| kicm-3020 \| 11 \| single - slayers premium theme row 26 : april 24, 2002 \| treat or goblins \| kicm-3030 \| 19 \| single - magical shopping arcade abenob row 27 : june 26, 2002 \| feel well \| kics-955 \| 7 \| album row 28 : september 25, 2002 \| koibumi \| kicm-3035 \| 7 \| single row 29 : september 26, 2003 \| makenaide makenaide \| kicm-1083 \| 8 \| single - contains the themes for hayashi ] Execute this SQL based on the above table: select notes where album = 'fine colorday'	single - contains themes for the show all purpose cultural cat girl nuku nuku
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select led the league in rebounding where id = ( select id where led the league in rebounding = 'no' ) - 1	yes
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select count ( wcc ) where wcc <= 1999	9
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select venue order by id desc limit 1	away
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select count ( single ) where position >= 3 or year >= 1999	9
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select count ( creature (other planes) ) where page = 41	3
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select count ( notes )	11
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select album where id = 1	naj, najbolja
[ 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 type in ( '1/2" (fujifilm hs30exr)' , '1/8"' ) order by diagonal (mm) desc limit 1	1/2" (fujifilm hs30exr)
[ header: year \| title \| peak chart positions aus \| peak chart positions nz \| album row 1 : 1988 \| "whisper" \| 58 \| 42 \| the sound of trees row 2 : 1988 \| "love-hate relationship" \| 81 \| 46 \| the sound of trees row 3 : 1989 \| "this illusion" \| None \| None \| the sound of trees row 4 : 1990 \| "ok alright a huh o \| 74 \| None \| ok alright a huh o row 5 : 1991 \| "heroes let you down" \| None \| None \| ok alright a huh o ] Execute this SQL based on the above table: select title where id = ( select id where title = '"this illusion"' ) + 1	"ok alright a huh o yeah"
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| album row 1 : "believe me" (featuring dave \| 2011 \| None \| None \| None \| non-album singles row 2 : "ima boss" (remix) ( \| 2011 \| 51 \| None \| None \| non-album singles row 3 : "house party" (featuring young \| 2011 \| None \| 45 \| 24 \| dreamchasers row 4 : "wild boy" (remix) (m \| 2012 \| None \| None \| None \| non-album singles row 5 : "my nigga" (remix \| 2014 \| None \| None \| None \| my krazy life ] Execute this SQL based on the above table: select peak chart positions us where year = 2011	51.0
[ header: round \| circuit \| location \| date \| pole position \| fastest lap \| winning driver \| headline event row 1 : 1 \| albert whitted airport \| st. petersburg, florid \| february 23 \| leonardo maia \| dan di leo \| leonardo maia \| grand prix of st. petersburg row 2 : 2 \| fundidora park \| monterrey \| march 23 \| leonardo maia \| david martinez \| david martinez \| monterrey grand prix row 3 : 3 \| milwaukee mile \| west allis, wisconsin \| june 1 \| victor gonzalez, j \| scott poirier \| leonardo maia \| milwaukee mile centennial 250 row 4 : 4 \| mazda raceway laguna sec \| monterey, californi \| june 15 \| memo rojas \| leonardo maia \| dan di leo \| grand prix of monterey row 5 : 5 \| portland international raceway \| portland, oregon \| june 22 \| leonardo maia \| leonardo maia \| leonardo maia \| g.i. joe's row 6 : 6 \| burke lakefront airport \| cleveland, ohio \| july 5 \| leonardo maia \| leonardo maia \| leonardo maia \| u.s. bank cleveland row 7 : 7 \| exhibition place \| toronto \| july 13 \| leonardo maia \| leonardo maia \| memo rojas \| molson indy toronto row 8 : 8 \| concord pacific place \| vancouver \| july 27 \| leonardo maia \| david martinez \| leonardo maia \| molson indy vancouver row 9 : 9 \| mid-ohio sports car course \| lexington, ohio \| august 3 \| leonardo maia \| leonardo maia \| leonardo maia \| champ car grand prix of mid-ohi row 10 : 10 \| circuit gilles villeneuve \| montreal \| august 24 \| memo rojas \| leonardo maia \| memo rojas \| molson indy montreal ] Execute this SQL based on the above table: select pole position order by round desc limit 1	memo rojas
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 14 \| 10 \| 12 \| 36 row 2 : 2 \| thailand (tha) \| 13 \| 9 \| 6 \| 28 row 3 : 3 \| south korea (kor) \| 6 \| 7 \| 10 \| 23 row 4 : 4 \| indonesia (ina) \| 6 \| 6 \| 4 \| 16 row 5 : 5 \| chinese taipei \| 3 \| 6 \| 6 \| 15 row 6 : 6 \| india (ind) \| 2 \| 0 \| 1 \| 3 row 7 : 7 \| iran (iri) \| 2 \| 0 \| 0 \| 2 row 8 : 8 \| japan (jpn) \| 1 \| 3 \| 2 \| 6 row 9 : 9 \| afghanistan (afg \| 1 \| 0 \| 0 \| 1 row 10 : 9 \| qatar (qat) \| 1 \| 0 \| 0 \| 1 row 11 : 11 \| philippines (phi) \| 0 \| 2 \| 2 \| 4 row 12 : 12 \| vietnam (vie) \| 0 \| 2 \| 1 \| 3 row 13 : 13 \| kazakhstan (kaz) \| 0 \| 1 \| 1 \| 2 row 14 : 13 \| pakistan (pak) \| 0 \| 1 \| 1 \| 2 row 15 : 15 \| bahrain (brn) \| 0 \| 1 \| 0 \| 1 row 16 : 15 \| turkmenistan (tkm) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| sri lanka (sr \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| bangladesh (ban) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| brunei (bru) \| 0 \| 0 \| 1 \| 1 row 20 : 18 \| laos (lao) \| 0 \| 0 \| 1 \| 1 row 21 : 18 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 22 : 18 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 23 : 18 \| singapore (sin) \| 0 \| 0 \| 1 \| 1 row 24 : total \| total \| 49 \| 49 \| 54 \| 152 ] Execute this SQL based on the above table: select nation order by silver desc limit 1	total
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 8 february 2011 \| stade georges pompidou, \| mali \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 11 may 2011 \| stade felix houphouet- \| namibia \| 4-1 \| 5-1 \| friendly row 3 : 3 \| 5 june 2011 \| stade de l'amitie \| benin \| 0-1 \| 2-6 \| 2012 africa cup of nations qualification - group row 4 : 4 \| 10 august 2011 \| stade de geneve, geneve, \| israel \| 1-0 \| 4-3 \| friendly row 5 : 5 \| 3 september 2011 \| stade amahoro, ki \| rwanda \| 0-4 \| 0-5 \| 2012 africa cup of nations qualification - group row 6 : 6 \| 14 november 2012 \| linzer stadion, \| austria \| 0-1 \| 0-3 \| friendly row 7 : 7 \| 14 january 2013 \| al nahyan stadium, abu \| egypt \| 4-2 \| 4-2 \| friendly row 8 : 8 \| 26 january 2013 \| royal bafokeng stadium, rustenburg \| tunisia \| 3-0 \| 3-0 \| 2013 africa cup of nations ] Execute this SQL based on the above table: select opponent order by score desc limit 1	egypt
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre row 1 : mahomed's paradies \| burleske-operette \| 1 act \| composer \| 26 february 1866 \| vienna, harmonietheater row 2 : das orakel zu delfi \| burleske-operette \| 2 acts \| carl costa \| 21 september 1872 \| linz, landestheater row 3 : konig jerome oder immer lustick \| operette \| 4 acts \| adolf schirmer \| 28 november 1878 \| vienna, ringtheater row 4 : der kleine don juan \| operette \| None \| None \| november 1879 \| budapest, deutsches theater row 5 : wiener kinder \| operette \| 3 acts \| leopold krenn and car \| 19 january 1881 \| vienna, carltheater row 6 : wiener luft \| posse mit gesang \| 3 acts \| benno rauchenegger \| 10 may 1889 \| vienna, theater an der wien row 7 : der bleiche zauberer \| indianisches lagerbild \| 1 act \| isidor fuchs, \| 20 september 1890 \| vienna, theater an der wien row 8 : die drei wunsche \| operette \| prologue and 3 acts \| leopold krenn and car \| 9 march 1901 \| vienna, carltheater row 9 : fesche geister \| operette \| prologue and 2 sections \| leopold krenn and car \| 7 july 1905 \| vienna, 'sommertheater row 10 : uber'n großen teich \| operette \| None \| adolph philipp \| 2 september 1906 \| vienna, theater an der wien row 11 : die spottvogelwirtin \| None \| 3 acts \| rudolf oesterreicher \| 1906 \| vienna row 12 : ein tolles madel (english: \| vaudeville-operette \| prologue and 2 acts \| wilhelm sterk (after: \| 24 august 1907, english version: 28 sept \| wiesbaden; english version: new york row 13 : am lido \| operette \| 1 act \| ottokar tann- \| 31 august 1907 \| vienna, kolosseum row 14 : der liebeswalzer \| operette \| 3 acts \| robert bodanzky and fr \| 24 october 1908 \| vienna, raimund theater row 15 : herr und frau biedermeier \| singspiel \| 1 act \| wilhelm sterk \| 9 january 1909 \| munich, 'kleine buhne' row 16 : ball bei hof \| operette \| 3 acts \| wilhelm sterk (after the \| 22 january 1911 \| stettin, stadttheater row 17 : in funfzig jahren - " \| burleske-operette \| 2 acts \| leopold krenn and car \| 13 january 1911 \| vienna, ronacher ] Execute this SQL based on the above table: select genre where id = ( select id where genre = 'burleske-operette' ) + 1	burleske-operette
[ header: plant name \| location \| country \| startup date \| capacity (mmtpa) \| corporation row 1 : qatargas ii \| ras laffan \| qatar \| 2009 \| 7.8 \| None row 2 : arzew gl4z \| None \| algeria \| 1964 \| 0.9 \| None row 3 : arzew gl1z \| None \| algeria \| 1978 \| None \| None row 4 : arzew gl1z \| None \| algeria \| 1997 \| 7.9 \| None row 5 : skikda gl1k \| None \| algeria \| 1981 \| None \| None row 6 : skikda gl1k \| None \| algeria \| 1999 \| 6 \| None row 7 : angola lng \| soyo \| angola \| 2013 \| 5.2 \| chevron row 8 : lumut 1 \| None \| brunei \| 1972 \| 7.2 \| None row 9 : badak a-b \| bontang \| indonesia \| 1977 \| None \| None row 10 : badak a-d \| bontang \| indonesia \| 1986 \| None \| None row 11 : badak a-e \| bontang \| indonesia \| 1989 \| None \| None row 12 : badak a-f \| bontang \| indonesia \| 1993 \| None \| None row 13 : badak a-g \| bontang \| indonesia \| 1998 \| None \| None row 14 : badak ngl a-h \| bontang \| indonesia \| 1999 \| 22.6 \| None row 15 : atlantic lng \| point fortin \| trinidad and tobago \| 1999 \| None \| atlantic lng row 16 : [atlantic lng] \| [point fortin] \| trinidad and tobago \| 2003 \| 9.9 \| atlantic lng row 17 : None \| damietta \| egypt \| 2004 \| 5.5 \| segas lng row 18 : None \| idku \| egypt \| 2005 \| 7.2 \| None row 19 : bintulu mlng 1 \| None \| malaysia \| 1983 \| 7.6 \| None row 20 : bintulu mlng 2 \| None \| malaysia \| 1994 \| 7.8 \| None row 21 : bintulu mlng 3 \| None \| malaysia \| 2003 \| 3.4 \| None row 22 : nigeria lng \| None \| nigeria \| 1999 \| 23.5 \| None row 23 : northwest shelf venture \| karratha \| australia \| 2009 \| 16.3 \| None row 24 : withnell bay \| karratha \| australia \| 1989 \| None \| None row 25 : withnell bay \| karratha \| australia \| 1995 \| (7.7) \| None row 26 : sakhalin ii \| None \| russia \| 2009 \| 9.6 \| None row 27 : yemen lng \| balhaf \| yemen \| 2008 \| 6.7 \| None row 28 : tangguh lng project \| papua barat \| indonesia \| 2009 \| 7.6 \| None row 29 : qatargas i \| ras laffan \| qatar \| 1996 \| (4.0) \| None row 30 : qatargas i \| ras laffan \| qatar \| 2005 \| 10 \| None row 31 : qatargas iii \| None \| qatar \| 2010 \| 7.8 \| None row 32 : rasgas i, i \| ras laffan \| qatar \| 1999 \| 36.3 \| None row 33 : qalhat \| None \| oman \| 2000 \| 7.3 \| None row 34 : das island i \| None \| united arab emirates \| 1977 \| None \| None row 35 : das island i and ii \| None \| united arab emirates \| 1994 \| 5.7 \| None ] Execute this SQL based on the above table: select plant name where plant name in ( 'arzew gl1z' , 'qalhat' ) order by startup date desc limit 1	qalhat
[ header: title \| character \| broadcaster \| episodes \| date row 1 : rev \| pip \| bbc two \| 1 \| 2010 row 2 : the i.t. crowd \| nikki \| channel 4 \| 1 \| 2010 row 3 : eastenders: e20 \| ava \| bbc one \| 15 \| 2011 row 4 : fresh meat \| caz \| channel 4 \| 1 \| 2011 row 5 : phoneshop \| daisy \| channel 4 \| 1 \| 2011 row 6 : holby city \| heidi hall \| bbc one \| 1 \| 2012 row 7 : plebs \| cynthia \| itv2 \| 6 \| 2013 row 8 : blandings \| valerie fanshawe \| bbc \| 2.5 \| 2014 row 9 : death in paradise \| helen walker \| bbc \| 3.4 \| 2014 ] Execute this SQL based on the above table: select episodes where episodes in ( 1 , '3.4' ) and broadcaster = 'channel 4'	1.0, 1.0, 1.0
[ header: pos. \| car # \| driver \| make \| team row 1 : 1 \| 38 \| jason leffler \| toyota \| braun racing row 2 : 2 \| 16 \| greg biffle \| ford \| roush fenway racing row 3 : 3 \| 99 \| david reutimann \| toyota \| michael waltrip racing row 4 : 4 \| 60 \| carl edwards \| ford \| roush fenway racing row 5 : 5 \| 77 \| ron hornaday \| chevrolet \| kevin harvick incorporated row 6 : 6 \| 20 \| aric almirola \| chevrolet \| joe gibbs racing row 7 : 7 \| 29 \| scott wimmer \| chevrolet \| richard childress racing row 8 : 8 \| 42 \| kevin hamlin \| dodge \| chip ganassi racing row 9 : 9 \| 10 \| mike bliss \| toyota \| braun racing row 10 : 10 \| 88 \| brad keselowski \| chevrolet \| jr motorsports ] Execute this SQL based on the above table: select team where id = ( select id where team = 'roush fenway racing' ) - 1	braun racing
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select v4 where v6 != '0%'	5%
[ header: date \| constituency \| c/u \| former incumbent \| winner \| cause row 1 : 28 april 1791 \| ludgershall \| c \| george augustus selwyn \| samuel smith \| death row 2 : 4 may 1791 \| stirling burghs \| c \| sir archibald campbell \| andrew james cochrane \| death row 3 : 21 february 1792 \| st mawes \| u \| john graves simcoe \| thomas calvert \| resignation (lieutenant governor of upper canada row 4 : 7 march 1792 \| rochester \| c \| sir richard bickerton \| nathaniel smith \| death row 5 : 7 may 1792 \| malton \| u \| william weddell \| george damer \| death row 6 : 18 may 1792 \| aberdeen burghs \| u \| alexander callender \| alexander allardyce \| death row 7 : 28 june 1792 \| liskeard \| u \| edward james el \| edward james el \| commissioner of the board of control row 8 : 15 september 1792 \| newcastle-under-lyme \| c \| john leveson gower \| william egerton \| death row 9 : 28 may 1793 \| heytesbury \| u \| the lord auckland \| the viscount clifden \| became a british peer row 10 : 26 june 1793 \| shaftesbury \| u \| william grant \| paul benfield \| appointed second justice of the south wales circuit row 11 : 28 june 1793 \| newtown \| u \| sir richard worsley \| george canning \| resignation row 12 : 15 february 1794 \| wilton \| u \| lord herbert \| philip goldsworthy \| succeeded to a peerage row 13 : 3 march 1794 \| east retford \| u \| earl of lincoln \| william henry clinton \| succeeded to a peerage row 14 : 5 april 1794 \| cambridge university \| u \| earl of euston \| earl of euston \| chief ranger of st. jame row 15 : 11 april 1794 \| perthshire \| u \| james murray \| thomas graham \| death row 16 : 9 september 1794 \| wenlock \| u \| sir henry bridgeman \| john simpson \| elevated to the peerage row 17 : 20 september 1794 \| cirencester \| u \| lord apsley \| michael hicks beach \| succeeded to a peerage row 18 : 3 october 1794 \| weymouth and melcombe regis \| u \| sir james johnstone \| gabriel tucker steward \| death row 19 : 17 october 1794 \| city durham \| u \| john tempest, jr \| sir henry vane \| death row 20 : 27 march 1795 \| east looe \| u \| william wellesley pole \| charles arbuthnot \| resignation ] Execute this SQL based on the above table: select date order by cause desc limit 1	15 february 1794
[ header: date \| city \| venue \| member \| performance \| notes row 1 : 15 january \| dublin \| rte studios \| brian & roger \| (1) "we will rock you" (2) "we \| the late late show row 2 : 31 january \| dublin \| the o2 \| brian \| (1) "bohemian rhap \| matinee and evening performances. roger row 3 : 10 may \| london \| dominion theatre \| brian & roger \| (1) "bohemian rhap \| 8th anniversary row 4 : 3 september \| utrecht \| beatrix theatre \| brian \| (1) "bohemian rhap \| None row 5 : 4 september \| london \| dominion theatre \| brian \| (1) "bohemian rhap \| matinee and evening performances row 6 : 12 september \| stockholm \| cirkus arena restaurang \| brian \| (1) "bohemian rhap \| None row 7 : 21 october \| berlin \| theater des westens \| brian \| (1) "bohemian rhap \| None ] Execute this SQL based on the above table: select city where notes = 'matinee and evening performances. roger attended but did not perform'	dublin
[ header: release date \| album \| record label \| uk albums chart \| u.s. billboard 200 chart row 1 : july 1983 \| the alarm (ep) \| i.r.s. records \| None \| 126 row 2 : february 1984 \| declaration \| i.r.s. records \| 6 \| 50 row 3 : october 1985 \| strength \| i.r.s. records \| 18 \| 39 row 4 : november 1987 \| eye of the hurricane \| i.r.s. records \| 23 \| 77 row 5 : november 1988 \| electric folklore live \| i.r.s. records \| 62 \| 167 row 6 : 1988 \| compact hits \| a&m records \| None \| None row 7 : september 1989 \| change \| i.r.s. records \| 13 \| 75 row 8 : november 1990 \| standards \| i.r.s. records \| 47 \| 177 row 9 : april 1991 \| raw \| i.r.s. records \| 33 \| 161 row 10 : 2001 \| eponymous 1981-1983 \| 21st century \| None \| None row 11 : 2001 \| declaration 1984-1985 \| 21st century \| None \| None row 12 : 2001 \| strength 1985-1986 \| 21st century \| None \| None row 13 : 2001 \| eye of the hurricane 1987-1988 \| 21st century \| None \| None row 14 : 2001 \| electric folklore live 1987-1988 \| 21st century \| None \| None row 15 : 2001 \| change 1989-1990 \| 21st century \| None \| None row 16 : 2001 \| raw 1990-1991 \| 21st century \| None \| None row 17 : 21 sept 2002 \| close \| 21st century \| None \| None row 18 : october 2002 \| the normal rules do not apply \| 21st century \| None \| None row 19 : 17 dec 2002 \| trafficking \| 21st century \| None \| None row 20 : 17 dec 2002 \| edward henry street \| 21st century \| None \| None row 21 : january 2003 \| coming home \| 21st century \| None \| None row 22 : 15 jan 2003 \| live at hammersmith palais 1984 \| 21st century \| None \| None row 23 : 23 june 2003 \| the alarm ep - 20th anniversary \| 21st century \| None \| None row 24 : 17 jul 2003 \| live at glasgow garage \| 21st century \| None \| None row 25 : 17 jul 2003 \| live at liverpool masque theatre \| 21st century \| None \| None row 26 : 17 jul 2003 \| live at london mean fiddle \| 21st century \| None \| None row 27 : 19 oct 2003 \| the sound and the fury \| shakedown records \| None \| None row 28 : 2004 \| live in the poppyfields \| snapper music \| None \| None row 29 : 2005 \| alt-strength \| 21st century \| None \| None row 30 : 2006 \| under attack \| liberty \| 138 \| None row 31 : 2006 \| the best of the alarm and mike pe \| emi \| None \| None row 32 : 2006 \| alarm mmv - the satur \| 21st century \| None \| None row 33 : 2007 \| the collection \| emi gold \| None \| None row 34 : july 2007 \| three sevens clash \| 21st century \| None \| None row 35 : august 2007 \| fightback \| 21st century \| None \| None row 36 : september 2007 \| this is not a test \| 21st century \| None \| None row 37 : november 2007 \| call to action \| 21st century \| None \| None row 38 : december 2007 \| 1983/84 \| 21st century \| None \| None row 39 : january 2008 \| counter attack \| 21st century \| None \| None row 40 : 2008 \| guerilla tactics \| 21st century \| None \| None row 41 : 2008 \| the alarm - bbc radio sessions \| 21st century \| None \| None ] Execute this SQL based on the above table: select album order by id desc limit 1	the alarm - bbc radio sessions 1983-1991
[ header: station \| distance from wellington \| height above sea level (m) \| opened \| closed \| notes row 1 : tawa \| 13.58 km \| 25.6m \| 1937 \| open \| tawa flat (closed 1937) was row 2 : kenepuru \| 16.16 km \| 15m \| 1940 \| open \| None row 3 : paremata \| 21.7 km \| 2.7m \| 1885 \| open \| None row 4 : plimmerton \| 24.4 km \| 5.8m \| 1885 \| open \| None row 5 : waikanae \| 55.31 km \| 31m \| 1886 \| open \| None row 6 : ohau \| 84.95 km \| 30.7m \| 1886 \| c.1970 \| None row 7 : linton \| 124.19 km \| 18.3m \| 1886 \| closed \| None row 8 : awapuni \| 132 km \| 24.7m \| 1876 \| 1965 \| None row 9 : palmerston north \| 136.03 km \| 28m \| 1963 \| open \| None row 10 : bunnythorpe \| 144.47 km \| 55.2m \| 1876 \| closed \| None row 11 : halcombe \| 165.76 km \| 118m \| 1878 \| closed \| None row 12 : greatford \| 175.67 km \| 104.5m \| 1878 \| c.1970 \| None row 13 : cliff road \| 183.58 km \| 159.7m \| 1888 \| 1966 \| None row 14 : ohingaiti \| 222.14 km \| 279m \| 1902 \| 1975 \| None row 15 : ohotu \| 247.08 km \| 395.6m \| 1904 \| closed \| None row 16 : ngaurukehu \| 270.25 km \| 640m \| 1908 \| closed \| None row 17 : turangarere \| 274.5 km \| 702m \| 1912 \| 1972 \| None row 18 : tangiwai \| 299.49 km \| 699.5m \| 1909 \| closed \| nearest station to the tangiwai row 19 : rangataua \| 312.79 km \| 670m \| 1909 \| closed \| None row 20 : raurimu \| 358.31 km \| 589m \| 1908 \| closed \| None row 21 : owhango \| 371.89 km \| 456.6m \| 1908 \| closed \| None row 22 : taumarunui \| 397.75 km \| 171m \| 1903 \| 2012 \| None row 23 : taringamotu \| 402 km \| 172.5m \| 1903 \| 1971 \| None row 24 : okahukura \| 408.54 \| 178.3m \| 1903 \| closed \| okahukura junction in working time row 25 : waiteti \| 470.07 km \| 135m \| 1889 \| closed \| None row 26 : te kumi \| 478.56 km \| 49.6m \| 1887 \| closed \| None row 27 : otorohonga \| 494.41 km \| 37m \| 1887 \| 2012 \| reopened summer 2012 row 28 : te awamutu \| 517.02 km \| 50m \| 1880 \| 2005 \| new zealand dairy board (now font row 29 : ngaroto \| 519.92 km \| 56m \| 1880 \| 1954 \| None row 30 : ohinewai \| 582.04 km \| 10m \| 1877 \| c1968 \| None row 31 : paerata \| 633.29 km \| 45.1m \| 1875 \| 1980 \| paerata junction from 1917 row 32 : takanini \| 650.64 km \| 15.2m \| 1875 \| open \| None row 33 : puhinui \| 658.92 km \| 19.8m \| 1904 \| open \| None row 34 : middlemore \| 662.28 km \| 8.8m \| 1904 \| open \| None ] Execute this SQL based on the above table: select abs ( ( select distance from wellington where closed = 'open' ) - ( select distance from wellington where closed = 'open' ) )	0.0
[ header: round \| opponent \| result \| brisbane \| opponent \| date \| venue \| crowd \| position \| bye row 1 : bocc \| celtic crusaders \| win \| 32 \| 6 \| 15 feb \| brewery field \| 2000 \| None \| 0 row 2 : wcc \| st helens \| loss \| 14 \| 18 \| 23 feb \| reebok stadium \| 23207 \| None \| 0 row 3 : trial match \| canberra raiders \| win \| 18 \| 12 \| 24 feb \| dolphin oval \| None \| None \| 0 row 4 : trial match \| melbourne storm \| loss \| 0 \| 46 \| 3 mar \| princes park \| 8273 \| None \| 0 row 5 : 1 \| north queensland cowboys \| loss \| 16 \| 23 \| 16 mar \| suncorp stadium \| 50416 \| 12/16 \| 0 row 6 : 2 \| new zealand warriors \| loss \| 14 \| 24 \| 25 mar \| mt smart stadium \| 16738 \| 12/16 \| 0 row 7 : 5 \| gold coast titans \| loss \| 16 \| 28 \| 13 apr \| suncorp stadium \| 47686 \| 13/16 \| 0 row 8 : 6 \| newcastle knights \| win \| 20 \| 16 \| 22 apr \| energyaustralia stadium \| 25524 \| 11/16 \| 0 row 9 : 7 \| melbourne storm \| loss \| 18 \| 28 \| 27 apr \| suncorp stadium \| 33750 \| 13/16 \| 0 row 10 : 8 \| south sydney rabbitohs \| win \| 8 \| 4 \| 4 may \| suncorp stadium \| 27387 \| 12/16 \| 0 row 11 : 9 \| cronulla sharks \| loss \| 8 \| 16 \| 11 may \| toyota park \| 12262 \| 13/16 \| 0 row 12 : 10 \| manly sea eagles \| loss \| 6 \| 18 \| 21 may \| brookvale oval \| 13493 \| 14/16 \| 0 row 13 : 11 \| newcastle knights \| win \| 71 \| 6 \| 27 may \| suncorp stadium \| 27433 \| 12/16 \| 0 row 14 : 12 \| st george illawarra \| loss \| 4 \| 11 \| 1 jun \| oki jubilee stadium \| 10302 \| 15/16 \| 0 row 15 : 13 \| None \| None \| None \| None \| None \| None \| None \| 12/16 \| 1 row 16 : 14 \| canterbury bulldogs \| win \| 19 \| 12 \| 15 jun \| telstra stadium \| 10121 \| 10/16 \| 0 row 17 : 15 \| wests tigers \| win \| 48 \| 18 \| 25 jun \| suncorp stadium \| 29364 \| 9/16 \| 0 row 18 : 16 \| penrith panthers \| win \| 24 \| 16 \| 30 jun \| cua stadium \| 8553 \| 7/16 \| 0 row 19 : 17 \| gold coast titans \| win \| 19 \| 18 \| 6 jul \| suncorp stadium \| 48621 \| 6/16 \| 0 row 20 : 18 \| north queensland cowboys \| win \| 24 \| 16 \| 13 jul \| dairy farmers stadium \| 25126 \| 5/16 \| 0 row 21 : 19 \| parramatta eels \| loss \| 16 \| 20 \| 23 jul \| suncorp stadium \| 25702 \| 5/16 \| 0 row 22 : 20 \| cronulla sharks \| win \| 30 \| 16 \| 29 jul \| suncorp stadium \| 24563 \| 5/16 \| 0 row 23 : 21 \| manly sea eagles \| loss \| 8 \| 21 \| 5 aug \| suncorp stadium \| 35784 \| 6/16 \| 0 row 24 : 22 \| melbourne storm \| loss \| 6 \| 14 \| 12 aug \| olympic park \| None \| 7/16 \| 0 row 25 : 23 \| canterbury bulldogs \| loss \| 24 \| 25 \| 17 aug \| suncorp stadium \| 35199 \| 9/16 \| 0 row 26 : 24 \| canberra raiders \| win \| 30 \| 19 \| 26 aug \| suncorp stadium \| 31614 \| 8/16 \| 0 ] Execute this SQL based on the above table: select opponent where opponent = 'celtic crusaders'	6
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select year where year > 2013 order by year asc limit 1	2014
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select constructor where constructor = 'toro rosso-ferrari'	toro rosso-ferrari, toro rosso-ferrari
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 15 august 2012 \| ullevaal stadion, \| norway \| 1-3 \| 2-3 \| friendly row 2 : 2 \| 11 september 2012 \| karaiskakis stadium, pir \| lithuania \| 2-0 \| 2-0 \| 2014 fifa world cup qualifier row 3 : 3 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-1 \| 0-2 \| friendly row 4 : 4 \| 14 august 2013 \| red bull arena, salzburg, austria \| austria \| 0-2 \| 0-2 \| friendly row 5 : 5 \| 6 september 2013 \| rheinpark stadion, \| liechtenstein \| 0-1 \| 0-1 \| 2014 fifa world cup qualifier row 6 : 6 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 1-0 \| 3-1 \| 2014 fifa world cup qualifier - row 7 : 7 \| 15 november 2013 \| karaiskakis stadium, pir \| romania \| 3-1 \| 3-1 \| 2014 fifa world cup qualifier - row 8 : 8 \| 19 november 2013 \| arena nationala, bucharest, roman \| romania \| 0-1 \| 1-1 \| 2014 fifa world cup qualifier - ] Execute this SQL based on the above table: select competition where # = ( select min ( # ) )	friendly
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 12, 1982 \| at new york jets \| w 45-28 \| 53,360 row 2 : 2 \| september 19, 1982 \| baltimore colts \| w 24-20 \| 51,999 row 3 : 3 \| november 21, 1982 \| at buffalo bills \| w 9-7 \| 52,945 row 4 : 4 \| november 29, 1982 \| at tampa bay buccaneers \| l 17-23 \| 65,854 row 5 : 5 \| december 5, 1982 \| minnesota vikings \| w 22-14 \| 45,721 row 6 : 6 \| december 12, 1982 \| at new england patriots \| l 0-3 \| 25,716 row 7 : 7 \| december 18, 1982 \| new york jets \| w 20-19 \| 67,702 row 8 : 8 \| december 27, 1982 \| buffalo bills \| w 27-10 \| 73,924 row 9 : 9 \| january 2, 1983 \| at baltimore colts \| w 34-7 \| 19,073 ] Execute this SQL based on the above table: select opponent where week = ( select week where opponent = 'at new york jets' ) + 1	baltimore colts
[ header: event \| performance \| athlete \| nation \| place \| date row 1 : 100 m \| 9.72 \| usain bolt \| jamaica \| new york city ny, usa \| may 31 row 2 : 100 m \| 9.69 \| usain bolt \| jamaica \| beijing, china \| august 16 row 3 : 200 m \| 19.3 \| usain bolt \| jamaica \| beijing, china \| august 20 row 4 : 4 x 100 m relay \| 37.1 \| nesta carter michael frater \| jamaica \| beijing, china \| august 22 row 5 : 110 m hurdles \| 12.87 \| dayron robles \| cuba \| ostrava, czech republic \| june 12 row 6 : 50 km race walk \| 3:34:14 \| denis nizhegorodov \| russia \| cheboksary, russia \| may 11 row 7 : marathon \| 2:03:59 \| haile gebrselassie \| ethiopia \| berlin, germany \| september 28 ] Execute this SQL based on the above table: select date order by performance desc limit 1	august 22
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where team = 'konrad motorsport'	1
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select position where id = ( select id where position = '8th' ) + 1	21st
[ header: name \| street address \| years as tallest \| height ft (m) \| floors row 1 : globe building \| 4th street south \| 1882-1886 \| 157 (48) \| 8 row 2 : lumber exchange building \| 10 5th street south \| 1886-1887 \| 165 (50) \| 12 row 3 : industrial exposition building \| central avenue southeast and main street southeast \| 1887-1890 \| 240 (73) \| 8 row 4 : metropolitan building \| 308 2nd avenue south \| 1890-1895 \| 258 (79) \| 12 row 5 : minneapolis city hall \| 350 5th street south \| 1895-1929 \| 341 (104) \| 14 row 6 : foshay tower \| 821 marquette avenue \| 1929-1973 \| 448 (137) \| 32 row 7 : ids tower \| 80 8th street south \| 1973-present \| 792 (241) \| 55 ] Execute this SQL based on the above table: select name where id = 1	globe building
[ header: no. \| dub no. \| english dubbed title / english subbed title original japanese title \| original air date \| english air date row 1 : 6 \| None \| "protect the melody of love! usagi is \| april 18, 1992 \| None row 2 : 9 \| 6 \| "time bomb" / "usagi' \| may 9, 1992 \| september 18, 1995 row 3 : 12 \| 9 \| "cruise blues" / " \| may 30, 1992 \| september 21, 1995 row 4 : 14 \| 11 \| "match point for sailor moon" \| june 13, 1992 \| september 25, 1995 row 5 : 19 \| 16 \| "who is that masked man?" \| july 25, 1992 \| october 2, 1995 row 6 : 24 \| 20 \| "a friend in wolf's clothing" \| august 29, 1992 \| october 6, 1995 row 7 : 26 \| 22 \| "the power of friendship" / "b \| september 12, 1992 \| october 10, 1995 row 8 : 34 \| 30 \| "a crystal clear destiny" / "the \| november 28, 1992 \| october 20, 1995 row 9 : 36 \| 32 \| "bad hair day" / "usagi \| december 12, 1992 \| october 24, 1995 row 10 : 40 \| 36 \| "last resort" / "the legendary lake \| january 16, 1993 \| october 30, 1995 ] Execute this SQL based on the above table: select count ( * ) ( select english dubbed title / english subbed title original japanese title group by english dubbed title / english subbed title original japanese title having count ( * ) > ( select count ( * ) where english dubbed title / english subbed title original japanese title = '"a crystal clear destiny" / "the sparkling silver crystal! the moon princess appears" "hikari kagayaku ginzuisho! tsuki no purinsesu tojo" (光輝く銀水晶!月のフリンセス登場)' ) )	10
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( state/territory ) where population (2011) = 1048240	1
[ header: jamo \| hangul compatibility \| hangul jamo area \| hanyang private use \| halfwidth row 1 : ᅷ \| None \| u+1177 \| u+f809 \| None row 2 : ᅣ \| u+3151 \| u+1163 \| u+f80c \| u+ffc4 row 3 : ᅹ \| None \| u+1179 \| u+f80e \| None row 4 : ᅺ \| None \| u+117a \| u+f812 \| None row 5 : ᅼ \| None \| u+117c \| u+f814 \| None row 6 : ᅽ \| None \| u+117d \| u+f818 \| None row 7 : ᅨ \| u+3156 \| u+1168 \| u+f81a \| u+ffcb row 8 : ᅩ \| u+3157 \| u+1169 \| u+f81b \| u+ffcc row 9 : ᅩᅤ \| None \| u+11a7 \| u+f81f \| None row 10 : ᆀ \| None \| u+1180 \| u+f821 \| None row 11 : ᅩᅧ \| None \| u+d7b0 \| u+f822 \| None row 12 : ᅩᅩᅵ \| None \| u+d7b1 \| u+f825 \| None row 13 : ᆃ \| None \| u+1183 \| u+f826 \| None row 14 : ᅭᅢ \| None \| u+d7b3 \| u+f82a \| None row 15 : ᆄ \| u+3187 \| u+1184 \| u+f82b \| None row 16 : ᆊ \| None \| u+118a \| u+f833 \| None row 17 : ᅯ \| u+315d \| u+116f \| u+f834 \| u+ffd4 row 18 : ᆋ \| None \| u+118b \| u+f835 \| None row 19 : ᅰ \| u+315e \| u+1170 \| u+f836 \| u+ffd5 row 20 : ᅮᅧ \| None \| u+d7b5 \| u+f837 \| None row 21 : ᆍ \| None \| u+118d \| u+f839 \| None row 22 : ᅱ \| u+315f \| u+1171 \| u+f83a \| u+ffd6 row 23 : ᆎ \| None \| u+118e \| u+f83d \| None row 24 : ᅲᅢ \| None \| u+d7b7 \| u+f83e \| None row 25 : ᆐ \| None \| u+1190 \| u+f840 \| None row 26 : ᆑ \| u+318a \| u+1191 \| u+f841 \| None row 27 : ᆒ \| u+318b \| u+1192 \| u+f842 \| None row 28 : ᅲᅩ \| None \| u+d7b8 \| u+f843 \| None row 29 : ᆓ \| None \| u+1193 \| u+f844 \| None row 30 : ᆔ \| u+318c \| u+1194 \| u+f845 \| None row 31 : ᅳᅡ \| None \| u+d7b9 \| u+f847 \| None row 32 : ᅳᅥ \| None \| u+d7ba \| u+f848 \| None row 33 : ᆖ \| None \| u+1196 \| u+f84c \| None row 34 : ᅵ \| u+3163 \| u+1175 \| u+f84f \| u+ffdc row 35 : ᅵᅣᅩ \| None \| u+d7bd \| u+f852 \| None row 36 : ᅵᅤ \| None \| u+d7be \| u+f853 \| None ] Execute this SQL based on the above table: select hanyang private use where id = ( select id where hanyang private use = 'u+f836' ) - 1	u+f835
[ header: event \| date \| area \| tornadoes \| casualties \| notes row 1 : hurricane carla \| september 1961 \| southern u.s \| 8 \| None \| produced several strong tornadoes, including an row 2 : 1964 wichita falls tornado \| april 3, 1964 \| wichita falls, texa \| None \| 7 dead, 100+ injured \| was rated f5. first tornado ever captured row 3 : february 1965 south florida tornado outbreak \| february 23, 1965 \| southern florida \| 4 \| 0 fatalities, 8 injuries \| produced an unusually strong tornado in south florid row 4 : early-may 1965 tornado outbreak sequence \| may 6-8, 1965 \| minnesota, front range, great \| 50 \| 17 fatalities \| included the 1965 twin cities tornado outbreak, in which row 5 : late-may 1965 tornado outbreak \| may 25-26, 1965 \| great plains \| 51 \| 0 fatalities \| produced multiple strong tornadoes in the great plain row 6 : june 1966 tornado outbreak sequence \| june 8-9, 1966 \| kansas - illin \| 57 \| 18 fatalities \| outbreak sequence produced a series of tornadoes row 7 : 1967 st. louis tornado outbreak \| january 24, 1967 \| midwest \| 32 \| 6 fatalities \| one of the most intense january outbreak row 8 : 1967 oak lawn tornado outbreak \| april 21, 1967 \| midwest \| 45 \| 58 fatalities \| one of the most intense outbreaks to hit the row 9 : 1967 southern minnesota tornado outbreak \| april 30, 1967 \| minnesota \| 9 \| 13 fatalities \| only one tornado below f2 strength in min row 10 : 1968 wheelersburg, ohio \| april 23, 1968 \| ohio valley \| 13 \| 14 fatalities \| outbreak produced several violent and killer tornadoes across ] Execute this SQL based on the above table: select notes where tornadoes = ( select tornadoes where notes = 'produced several strong tornadoes, including an f4 killer tornado that hit galveston, texas' ) + 1	only one tornado below f2 strength in minnesota. the towns of albert lea and waseca were devastated by deadly f4s
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 26 \| paul tracy \| team kool green \| 225 \| 1:48:49.169 \| 6 \| 20 row 2 : 2 \| 99 \| greg moore \| forsythe racing \| 225 \| 5.88 \| 3 \| 16 row 3 : 3 \| 5 \| gil de ferran \| walker racing \| 225 \| 6.456 \| 16 \| 14 row 4 : 4 \| 12 \| jimmy vasser \| chip ganassi racing \| 225 \| 7.937 \| 2 \| 12 row 5 : 5 \| 40 \| adrian fernandez \| patrick racing \| 225 \| 9.929 \| 18 \| 10 row 6 : 6 \| 11 \| christian fittipaldi \| newman-haas racing \| 225 \| 11.251 \| 13 \| 8 row 7 : 7 \| 27 \| dario franchitti \| team kool green \| 225 \| 12.578 \| 4 \| 6 row 8 : 8 \| 17 \| mauricio gugelmin \| pacwest racing \| 225 \| 15.223 \| 12 \| 5 row 9 : 9 \| 33 \| patrick carpentier \| forsythe racing \| 224 \| +1 lap \| 8 \| 4 row 10 : 10 \| 4 \| juan pablo montoya \| chip ganassi racing \| 224 \| +1 lap \| 5 \| 3+1 row 11 : 11 \| 25 \| cristiano da matta \| arciero-wells racing \| 224 \| +1 lap \| 7 \| 2 row 12 : 12 \| 18 \| roberto moreno \| pacwest racing \| 223 \| +2 laps \| 9 \| 1 row 13 : 13 \| 7 \| max papis \| team rahal \| 222 \| +3 laps \| 17 \| None row 14 : 14 \| 36 \| alex barron \| all american racing \| 222 \| +3 laps \| 10 \| None row 15 : 15 \| 6 \| michael andretti \| newman-haas racing \| 222 \| +3 laps \| 11 \| None row 16 : 16 \| 19 \| michel jourdain, j \| payton/coyne racing \| 222 \| +3 laps \| 21 \| None row 17 : 17 \| 24 \| scott pruett \| arciero-wells racing \| 222 \| +3 laps \| 15 \| None row 18 : 18 \| 44 \| tony kanaan \| forsythe racing \| 221 \| +4 laps \| 20 \| None row 19 : 19 \| 2 \| al unser, jr \| marlboro team penske \| 221 \| +4 laps \| 22 \| None row 20 : 20 \| 20 \| p. j. jones \| patrick racing \| 219 \| +6 laps \| 14 \| None row 21 : 21 \| 10 \| richie hearn \| della penna motorsports \| 219 \| +6 laps \| 19 \| None row 22 : 22 \| 34 \| dennis vitolo \| payton/coyne racing \| 212 \| +13 laps \| 26 \| None row 23 : 23 \| 16 \| shigeaki hattori \| bettenhausen racing \| 118 \| contact \| 24 \| None row 24 : 24 \| 22 \| robby gordon \| team gordon \| 83 \| electrical \| 23 \| None row 25 : 25 \| 8 \| bryan herta \| team rahal \| 81 \| handling \| 25 \| None row 26 : 26 \| 9 \| helio castro-neves \| hogan racing \| 30 \| turbo boost \| 1 \| 1 ] Execute this SQL based on the above table: select ( select grid where team = 'payton/coyne racing' ) - ( select grid where team = 'arciero-wells racing' )	14.0
[ header: year \| winner \| album \| other finalists row 1 : 2002 \| che fu \| navigator \| dark tower - canterbury drafts row 2 : 2003 \| nesian mystik \| polysaturated \| deceptikonz - elimination p row 3 : 2004 \| scribe \| the crusader \| king kapisi - 2nd row 4 : 2005 \| p-money \| magic city \| tha feelstyle - break it to row 5 : 2006 \| frontline \| borrowed time \| nesian mystik - fresh row 6 : 2007 \| pnc \| rookie card \| 4 corners - the foundations decepti row 7 : 2008 \| scribe \| rhyme book \| mareko - white sunday 2: the row 8 : 2009 \| ladi6 \| time is not much \| savage - savage row 9 : 2010 \| david dallas \| something awesome \| j. williams - young row 10 : 2011 \| ladi6 \| the liberation of \| david dallas - the rose row 11 : 2012 \| home brew \| home brew \| adeaze - rise & row 12 : 2013 \| aaradhna \| treble & reverb \| at peace - girl songs p-money ] Execute this SQL based on the above table: select album where winner != 'ladi6'	navigator, polysaturated, the crusader, magic city, borrowed time, rookie card, rhyme book, something awesome, home brew, treble & reverb
[ 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 count ( winner )	21
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select count ( * ) where nation = 'canada'	1
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select character where м > 140	unicode, utf-8, numeric character reference, koi8-r and koi8-u, code page 855, windows-1251, iso-8859-5
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select ( select round where trophy winner = 'silvio alberti' ) < ( select round where trophy winner = 'nino fama' )	0
[ header: first name \| surname \| death year \| beginning of service \| end of service \| notes row 1 : pilzbach \| johann adam \| 1802 \| 1772 \| 1776 \| None row 2 : fritsch \| lorenz \| None \| 1794 \| 1798 \| None row 3 : aizele \| matthias \| 1856 \| 1812 \| 1836 \| None row 4 : bottka \| paul \| 1872 \| 1836 \| 1845 \| None row 5 : bartl \| anton \| 1897 \| 1870 \| 1893 \| None row 6 : loschardt \| ferdinand \| 1914 \| 1893 \| 1899 \| None row 7 : gehl \| othmar \| 1951 \| 1892 \| 1903 \| None row 8 : schutz \| nikolaus \| None \| 1899 \| 1901 \| None row 9 : eisele \| matthias \| 1944 \| 1901 \| 1906 \| None row 10 : dietl \| august gustav \| 1928 \| 1901 \| 1912 \| None row 11 : misenko \| josef \| None \| 1902 \| 1909 \| None row 12 : palya \| matthias \| 1915 \| 1903 \| 1915 \| None row 13 : elsner \| josef \| 1965 \| 1911 \| 1926 \| None row 14 : schrotz \| stefan \| 1967 \| 1912 \| 1923 \| None row 15 : fulda \| paul \| None \| 1922 \| None \| None row 16 : rudolf \| josef \| None \| 1912 \| 1921 \| None row 17 : waltner \| josef \| 1986 \| 1920 \| 1923 \| None row 18 : szekely \| franz \| None \| 1923 \| 1930 \| None row 19 : lischerong \| matthias \| 1950 \| 1925 \| 1950 \| None row 20 : strubert \| peter \| 1956 \| 1924 \| 1932 \| None row 21 : lindnder \| wendelin \| None \| 1925 \| 1929 \| None row 22 : juhasz \| tibor \| None \| 1930 \| 1938 \| None row 23 : benz \| johannes \| 1985 \| 1936 \| 1942 \| None row 24 : hardt \| alfons \| None \| 1927 \| 1930 \| None row 25 : hampel \| karl \| None \| 1934 \| 1937 \| None row 26 : willw \| andreas \| None \| 1941 \| 1946 \| None row 27 : gerstenengst \| josef \| 1992 \| 1946 \| 1958 \| None row 28 : lackner \| paul \| 1987 \| 1946 \| 1987 \| None row 29 : borth \| nikolaus pater gottfried \| None \| 1958 \| 1959 \| None row 30 : neu \| anton \| None \| 1963 \| 1965 \| None row 31 : fritz \| anton \| None \| 1972 \| 1974 \| None row 32 : hajdu \| josef \| None \| 1974 \| 1976 \| None row 33 : hoher \| otto \| 2006 \| 1976 \| 1978 \| None row 34 : nagy \| carol \| None \| 1979 \| 1987 \| None row 35 : mutiu \| petru \| None \| 1983 \| None \| None row 36 : matei \| peter gottlieb \| None \| 1983 \| 1988 \| None row 37 : pal \| jozsef csaba \| None \| 1987 \| None \| None row 38 : szocs \| laszlo \| None \| 1987 \| 1988 \| None row 39 : catici \| gheorghe \| None \| 1988 \| 1992 \| None row 40 : balogh \| andras \| None \| 1988 \| 1989 \| None row 41 : ebenspanger \| ferenc \| None \| 1989 \| 1990 \| None row 42 : debert \| reiner \| None \| 1993 \| 1994 \| None row 43 : conceanga \| ulderic \| None \| 1997/2001 \| 2003 \| None row 44 : tampu \| petru \| None \| 1999 \| 2001 \| None row 45 : rebegila \| petru \| None \| 2004 \| 2006 \| None ] Execute this SQL based on the above table: select count ( * ) where surname = 'johann adam'	1
[ header: opponent \| goals \| wins \| draws \| losses \| +- goals \| matches \| qualified \| eliminated row 1 : partizani tirane \| 28-25 \| 13 \| 7 \| 8 \| + 3 \| 28 \| 9 \| 7 row 2 : dinamo tirane \| 30-42 \| 8 \| 6 \| 15 \| -12 \| 29 \| 8 \| 8 row 3 : ks vllazni \| 25-18 \| 13 \| 4 \| 8 \| + 7 \| 25 \| 9 \| 6 row 4 : ks teuta \| 29-17 \| 8 \| 9 \| 4 \| 12 \| 21 \| 6 \| 7 row 5 : ks elbasani \| 40-17 \| 11 \| 4 \| 4 \| 23 \| 19 \| 8 \| 2 row 6 : ks skenderbeu \| 18- 5 \| 9 \| 1 \| 1 \| 13 \| 11 \| 7 \| 1 row 7 : ks lushnja \| 41-15 \| 13 \| 4 \| 5 \| 26 \| 22 \| 8 \| 3 row 8 : luftetari gjirok \| 19- 3 \| 5 \| 0 \| 0 \| 16 \| 5 \| 3 \| None row 9 : beselidhja lezhe \| 14- 2 \| 5 \| 0 \| 1 \| 12 \| 6 \| 3 \| None row 10 : kf naftetari \| 5- 0 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 11 : kf laci \| 13- 4 \| 5 \| 2 \| 1 \| + 9 \| 8 \| 2 \| 1 row 12 : ks shkumbini \| 19- 8 \| 6 \| 0 \| 0 \| 11 \| 6 \| 2 \| None row 13 : ks sopoti librazh \| 17- 7 \| 2 \| 3 \| 1 \| 10 \| 6 \| 3 \| None row 14 : ks albpetrol \| 19- 3 \| 5 \| 0 \| 1 \| 16 \| 6 \| 3 \| None row 15 : ks burreli \| 1- 2 \| 1 \| 0 \| 1 \| - 1 \| 2 \| 0 \| 1 row 16 : ks kamza \| 9- 2 \| 4 \| 0 \| 0 \| + 7 \| 4 \| 1 \| None row 17 : kf erzeni shija \| 13- 3 \| 6 \| 0 \| 0 \| 10 \| 6 \| 3 \| None row 18 : ks shkendija \| 8- 5 \| 2 \| 2 \| 0 \| + 3 \| 4 \| 2 \| None row 19 : ks turbina cerrik \| 13- 3 \| 3 \| 1 \| 0 \| 10 \| 4 \| 2 \| None row 20 : ks terbuni puke \| 8- 3 \| 3 \| 1 \| 0 \| + 5 \| 4 \| 2 \| None row 21 : ks iliria \| 7- 2 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 22 : kf cakrani \| 3- 1 \| 1 \| 0 \| 1 \| + 2 \| 2 \| 1 \| None row 23 : ks ada velip \| 5- 2 \| 1 \| 1 \| 0 \| + 3 \| 2 \| 1 \| None row 24 : kf skrapari \| 5- 0 \| 2 \| 0 \| 0 \| + 5 \| 2 \| 1 \| None row 25 : luzi 2008 \| 4- 3 \| 1 \| 0 \| 1 \| + 1 \| 2 \| 1 \| None row 26 : dinamo shkoder \| 3- 0 \| 1 \| 0 \| 0 \| + 3 \| 1 \| 1 \| None row 27 : garnizoni durres \| 4- 0 \| 1 \| 0 \| 0 \| + 4 \| 1 \| 1 \| None row 28 : albanet \| 3- 0 \| 1 \| 0 \| 0 \| + 3 \| 1 \| 1 \| None row 29 : sk himare \| 10- 1 \| 2 \| 0 \| 0 \| + 9 \| 2 \| 1 \| None row 30 : 40 opponents \| 592-272 \| 195 \| 62 \| 65 \| 320 \| 322 \| 173 \| 44 ] Execute this SQL based on the above table: select count ( losses ) where qualified > 9	1
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select name where name = 'francisco sanchez' and rank < 455	francisco sanchez
[ header: date \| winner \| yacht \| loser \| yacht \| score \| delta row 1 : september 14, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 1-0 \| 1:10 row 2 : september 15, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 2-0 \| 1:33 row 3 : september 18, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 1-2 \| 3:14 row 4 : september 20, 1983 \| liberty \| us-40 \| australia ii \| ka-6 \| 3-1 \| 0:43 row 5 : september 21, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 2-3 \| 1:47 row 6 : september 22, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 3-3 \| 3:25 row 7 : september 26, 1983 \| australia ii \| ka-6 \| liberty \| us-40 \| 4-3 \| 0:41 ] Execute this SQL based on the above table: select count ( winner ) where delta > ( select delta where winner = 'liberty' )	2
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : august 29 \| 7:30 pm \| appalachian state \| groves stadium • winston-sa \| None \| w 19-13 \| 21129 row 2 : september 7 \| 6:30 pm \| #13 northwestern \| groves stadium • winston-sa \| fsn \| w 28-27 \| 21749 row 3 : september 14 \| 7:00 pm \| at georgia tech \| bobby dodd stadium • atlant \| None \| l 10-30 \| 45750 row 4 : september 21 \| 12:00 pm \| #20 virginia \| groves stadium • winston-sa \| jps \| l 7-42 \| 23220 row 5 : september 28 \| 12:00 pm \| at clemson \| memorial stadium • clemson, s \| jps \| l 10-21 \| 63263 row 6 : october 5 \| 6:30 pm \| #15 north carolina \| groves stadium • winston-sa \| None \| l 6-45 \| 25681 row 7 : october 19 \| 2:00 pm \| at maryland \| byrd stadium • college park, m \| None \| l 0-52 \| 30212 row 8 : october 26 \| 1:00 pm \| navy \| groves stadium • winston-sa \| None \| l 18-47 \| 17307 row 9 : november 9 \| 12:00 pm \| vs. #3 florida state \| citrus bowl • orlando, f \| jps \| l 7-44 \| 34974 row 10 : november 16 \| 1:00 pm \| duke \| groves stadium • winston-sa \| None \| w 17-16 \| 17842 row 11 : november 23 \| 1:00 pm \| at nc state \| carter-finley stadium • r \| None \| l 22-37 \| 40500 ] Execute this SQL based on the above table: select time where id = 3	7:00 pm
[ header: album title \| format \| year \| original label \| chart positions row 1 : distant plastic trees \| lp \| 1991 \| red flame \| None row 2 : the wayward bus \| lp \| 1992 \| popup \| None row 3 : the house of tomorrow \| ep \| 1992 \| feel good all over \| None row 4 : the charm of the highway strip \| lp \| 1994 \| merge records \| None row 5 : holiday \| lp \| 1994 \| feel good all over \| None row 6 : get lost \| lp \| 1995 \| merge records \| None row 7 : 69 love songs \| lp \| 1999 \| merge records \| None row 8 : i \| lp \| 2004 \| nonesuch records \| #152 (billboard 200) row 9 : distortion \| lp \| 2008 \| nonesuch records \| #77 (billboard 200) row 10 : realism \| lp \| 2010 \| nonesuch records \| #110 (billboard 200) row 11 : love at the bottom of the sea \| lp \| 2012 \| merge records \| #89 (billboard 200) ] Execute this SQL based on the above table: select count ( * ) where album title = '1992'	0
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select count ( national championship ) where country = 'australia'	1
[ header: staple: \| maize / corn \| rice \| wheat \| potato \| cassava \| soybean (green) \| sweet potato \| sorghum \| yam \| plantain row 1 : component (per 100g portion) \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount row 2 : water (g) \| 10 \| 12 \| 13 \| 79 \| 60 \| 68 \| 77 \| 9 \| 70 \| 65 row 3 : energy (kj) \| 1528 \| 1528 \| 1369 \| 322 \| 670 \| 615 \| 360 \| 1419 \| 494 \| 511 row 4 : protein (g) \| 9.4 \| 7.1 \| 12.6 \| 2 \| 1.4 \| 13 \| 1.6 \| 11.3 \| 1.5 \| 1.3 row 5 : fat (g) \| 4.74 \| 0.66 \| 1.54 \| 0.09 \| 0.28 \| 6.8 \| 0.05 \| 3.3 \| 0.17 \| 0.37 row 6 : carbohydrates (g) \| 74 \| 80 \| 71 \| 17 \| 38 \| 11 \| 20 \| 75 \| 28 \| 32 row 7 : fiber (g) \| 7.3 \| 1.3 \| 12.2 \| 2.2 \| 1.8 \| 4.2 \| 3 \| 6.3 \| 4.1 \| 2.3 row 8 : sugar (g) \| 0.64 \| 0.12 \| 0.41 \| 0.78 \| 1.7 \| 0 \| 4.18 \| 0 \| 0.5 \| 15 row 9 : calcium (mg) \| 7 \| 28 \| 29 \| 12 \| 16 \| 197 \| 30 \| 28 \| 17 \| 3 row 10 : iron (mg) \| 2.71 \| 0.8 \| 3.19 \| 0.78 \| 0.27 \| 3.55 \| 0.61 \| 4.4 \| 0.54 \| 0.6 row 11 : phosphorus (mg) \| 210 \| 115 \| 288 \| 57 \| 27 \| 194 \| 47 \| 287 \| 55 \| 34 row 12 : potassium (mg) \| 287 \| 115 \| 363 \| 421 \| 271 \| 620 \| 337 \| 350 \| 816 \| 499 row 13 : sodium (mg) \| 35 \| 5 \| 2 \| 6 \| 14 \| 15 \| 55 \| 6 \| 9 \| 4 row 14 : zinc (mg) \| 2.21 \| 1.09 \| 2.65 \| 0.29 \| 0.34 \| 0.99 \| 0.3 \| 0 \| 0.24 \| 0.14 row 15 : copper (mg) \| 0.31 \| 0.22 \| 0.43 \| 0.11 \| 0.1 \| 0.13 \| 0.15 \| None \| 0.18 \| 0.08 row 16 : manganese (mg) \| 0.49 \| 1.09 \| 3.99 \| 0.15 \| 0.38 \| 0.55 \| 0.26 \| None \| 0.4 \| None row 17 : selenium (μg) \| 15.5 \| 15.1 \| 70.7 \| 0.3 \| 0.7 \| 1.5 \| 0.6 \| 0 \| 0.7 \| 1.5 row 18 : vitamin c (mg) \| 0 \| 0 \| 0 \| 19.7 \| 20.6 \| 29 \| 2.4 \| 0 \| 17.1 \| 18.4 row 19 : thiamin (mg) \| 0.39 \| 0.07 \| 0.3 \| 0.08 \| 0.09 \| 0.44 \| 0.08 \| 0.24 \| 0.11 \| 0.05 row 20 : riboflavin (mg) \| 0.2 \| 0.05 \| 0.12 \| 0.03 \| 0.05 \| 0.18 \| 0.06 \| 0.14 \| 0.03 \| 0.05 row 21 : pantothenic acid (mg) \| 0.42 \| 1.01 \| 0.95 \| 0.3 \| 0.11 \| 0.15 \| 0.8 \| None \| 0.31 \| 0.26 row 22 : vitamin b6 (mg) \| 0.62 \| 0.16 \| 0.3 \| 0.3 \| 0.09 \| 0.07 \| 0.21 \| None \| 0.29 \| 0.3 row 23 : folate total (μg) \| 19 \| 8 \| 38 \| 16 \| 27 \| 165 \| 11 \| 0 \| 23 \| 22 row 24 : vitamin a (iu) \| 214 \| 0 \| 9 \| 2 \| 13 \| 180 \| 14187 \| 0 \| 138 \| 1127 ] Execute this SQL based on the above table: select count ( staple: )	25
[ header: name \| metres \| feet row 1 : marmolada \| 3343 \| 10968 row 2 : antelao \| 3264 \| 10706 row 3 : tofana di mezzo \| 3241 \| 10633 row 4 : punta sorapis \| 3229 \| 10594 row 5 : monte civetta \| 3220 \| 10564 row 6 : vernel \| 3145 \| 10319 row 7 : cristallo \| 3221 \| 10568 row 8 : cima di vezzana \| 3192 \| 10470 row 9 : cimon della pala \| 3184 \| 10453 row 10 : langkofel / sas \| 3181 \| 10427 row 11 : pelmo \| 3169 \| 10397 row 12 : dreischusterspitze \| 3162 \| 10375 row 13 : boespitze / piz boe ( \| 3152 \| 10342 row 14 : croda rossa (h \| 3148 \| 10329 row 15 : piz popena \| 3143 \| 10312 row 16 : grohmannspitze (langkofel \| 3126 \| 10256 row 17 : zwolferkofel \| 3094 \| 10151 row 18 : elferkofel \| 3092 \| 10144 row 19 : sass rigais ( \| 3025 \| 9925 row 20 : kesselkogel (rosengarten \| 3004 \| 9856 row 21 : tre cime di lavaredo \| 2999 \| 9839 row 22 : funffingerspitze \| 2997 \| 9833 row 23 : pala di san martino \| 2982 \| 9831 row 24 : rosengartenspitze / catinacci \| 2981 \| 9781 row 25 : marmarole \| 2961 \| 9715 row 26 : cima di fradusta \| 2941 \| 9649 row 27 : monte agner \| 2872 \| 9416 row 28 : fermedaturm \| 2867 \| 9407 row 29 : cima d'asta \| 2848 \| 9344 row 30 : cima di canali \| 2846 \| 9338 row 31 : croda grande \| 2839 \| 9315 row 32 : vajoletturm / torri \| 2821 \| 9256 row 33 : sass maor \| 2816 \| 9239 row 34 : cima di ball \| 2783 \| 9131 row 35 : cima della madonna ( \| 2751 \| 9026 row 36 : rosetta \| 2741 \| 8993 row 37 : croda da lago \| 2716 \| 8911 row 38 : central grasleitenspitze \| 2705 \| 8875 row 39 : schlern \| 2562 \| 8406 row 40 : sasso di mur \| 2554 \| 8380 row 41 : cima delle dodici \| 2338 \| 7671 row 42 : monte pavione \| 2336 \| 7664 row 43 : cima di posta \| 2235 \| 7333 row 44 : monte pasubio \| 2232 \| 7323 ] Execute this SQL based on the above table: select count ( name ) where name = 'monte agner'	1
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 1 \| delta state \| None \| m.m. roberts \| w 12-0 \| 17590 row 2 : september 8 \| at #13 alabama \| None \| legion field • birmingham, al \| w 27-24 \| 75962 row 3 : september 15 \| at georgia \| None \| sanford stadium • athens, \| l 17-18 \| 79812 row 4 : september 22 \| at mississippi state \| None \| scott field • starkville, m \| l 10-13 \| 40115 row 5 : september 29 \| louisville \| None \| m.m. roberts \| w 25-13 \| 20545 row 6 : october 6 \| at east carolina \| None \| ficklen memorial stadium • greenville, \| w 16-7 \| 31305 row 7 : october 13 \| at tulane \| None \| louisiana superdome • new orle \| w 20-14 \| 26662 row 8 : october 20 \| memphis state \| None \| m.m. roberts \| w 23-7 \| 24520 row 9 : october 27 \| at virginia tech \| None \| lane stadium • blacksburg, va \| l 16-20 \| 37462 row 10 : november 3 \| at sw louisiana \| None \| cajun field • lafayette, \| w 14-13 \| 17860 row 11 : november 10 \| at #15 auburn \| None \| jordan-hare stadium • auburn \| w 13-12 \| 85214 row 12 : december 28 \| vs. nc state \| #23 \| legion field • birmingham, al \| l 27-31 \| 44000 ] Execute this SQL based on the above table: select site order by attendance limit 1	m.m. roberts stadium • hattiesburg, ms
[ header: round \| pick \| player \| position \| nationality \| team \| college row 1 : t \| None \| wilt chamberlain \| c \| united states \| philadelphia warriors \| kansas row 2 : t \| None \| bob ferry \| f/c \| united states \| st. louis hawks \| saint louis row 3 : 1 \| 1 \| bob boozer \| f \| united states \| cincinnati royals \| kansas state row 4 : 1 \| 2 \| bailey howell \| f \| united states \| detroit pistons \| mississippi state row 5 : 1 \| 3 \| tom hawkins \| f \| united states \| minneapolis lakers \| notre dame row 6 : 1 \| 5 \| johnny green \| f/c \| united states \| new york knicks \| michigan state row 7 : 1 \| 6 \| john richter \| f \| united states \| boston celtics \| nc state row 8 : 2 \| 7 \| tom robitaille \| f/c \| united states \| detroit pistons (from cincin \| rice row 9 : 2 \| 8 \| don goldstein \| f \| united states \| detroit pistons \| louisville row 10 : 2 \| 9 \| joe ruklick \| f/c \| united states \| philadelphia warriors \| northwestern row 11 : 2 \| 10 \| rudy larusso \| f/c \| united states \| minneapolis lakers \| dartmouth row 12 : 2 \| 11 \| bumper tormohlen \| f/c \| united states \| syracuse nationals \| tennessee row 13 : 2 \| 12 \| al seiden \| g \| united states \| st. louis hawks ( \| st. john's row 14 : 2 \| 13 \| cal ramsey \| f \| united states \| st. louis hawks \| nyu row 15 : 2 \| 14 \| gene guarilia \| f \| united states \| boston celtics \| george washington row 16 : 3 \| 16 \| gary alcorn \| c \| united states \| detroit pistons \| fresno state row 17 : 3 \| 17 \| jim hockaday \| f \| united states \| philadelphia warriors \| memphis row 18 : 3 \| 18 \| bobby smith \| g \| united states \| minneapolis lakers \| west virginia row 19 : 3 \| 19 \| jon cincebox \| f \| united states \| syracuse nationals \| syracuse row 20 : 3 \| 20 \| bob anderegg \| g/f \| united states \| new york knicks \| michigan state row 21 : 3 \| 21 \| hank stein \| g \| united states \| st. louis hawks \| xavier row 22 : 3 \| 22 \| ralph crosthwaite \| c \| united states \| boston celtics \| western kentucky row 23 : 4 \| 23 \| leo byrd \| g \| united states \| cincinnati royals \| marshall row 24 : 4 \| 24 \| george lee \| g/f \| united states \| detroit pistons \| michigan row 25 : 4 \| 25 \| ron stevenson \| f \| united states \| philadelphia warriors \| tcu row 26 : 4 \| 26 \| wilson eison \| f \| united states \| minneapolis lakers \| purdue row 27 : 4 \| 27 \| paul neumann \| g \| united states \| syracuse nationals \| stanford row 28 : 4 \| 28 \| johnny cox \| g \| united states \| new york knicks \| kentucky row 29 : 5 \| 31 \| harry kirchner \| g/f \| united states \| detroit pistons \| tcu ] Execute this SQL based on the above table: select team group by team order by count ( player ) desc limit 1	detroit pistons
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select count ( * ) where rank < 1	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select regular season order by division desc limit 1	5th, northwest
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select count ( place ) where season > 160	9
[ header: rank \| npc \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 95 \| 71 \| 65 \| 231 row 2 : 2 \| russia (rus) \| 36 \| 38 \| 28 \| 102 row 3 : 3 \| great britain (gbr) \| 34 \| 43 \| 43 \| 120 row 4 : 4 \| ukraine (ukr) \| 32 \| 24 \| 28 \| 84 row 5 : 5 \| australia (aus) \| 32 \| 23 \| 30 \| 85 row 6 : 6 \| united states (usa) \| 31 \| 29 \| 38 \| 98 row 7 : 7 \| brazil (bra) \| 21 \| 14 \| 8 \| 43 row 8 : 8 \| germany (ger) \| 18 \| 26 \| 22 \| 66 row 9 : 9 \| poland (pol) \| 14 \| 13 \| 9 \| 36 row 10 : 10 \| netherlands (ned) \| 10 \| 10 \| 19 \| 39 row 11 : total (75 npcs) \| total (75 npcs) \| 503 \| 503 \| 516 \| 1522 ] Execute this SQL based on the above table: select npc where total > 1257	total (75 npcs)
[ header: rank \| name \| notability \| birthplace \| advocate row 1 : 10 \| wayne gretzky \| hockey player, holder of numerous nh \| brantford, ontario \| deborah grey row 2 : 9 \| alexander graham bell \| scientist, inventor, founder of the bell telephone company \| edinburgh, scotl \| evan solomon row 3 : 8 \| sir john a. macdonal \| first prime minister of canada \| glasgow, scotland \| charlotte gray row 4 : 7 \| don cherry \| hockey coach and commentator \| kingston, ontario \| bret hart row 5 : 6 \| lester b. pearson \| fourteenth prime minister of canada, united nations general \| toronto, ontario \| paul gross row 6 : 5 \| david suzuki \| environmentalist \| vancouver, british columb \| melissa auf der maur row 7 : 4 \| sir frederick banting \| medical scientist, co-discoverer of insulin \| alliston, ontario \| mary walsh row 8 : 3 \| pierre trudeau \| fifteenth prime minister of canada \| montreal, quebec \| rex murphy row 9 : 2 \| terry fox \| athlete, activist, humanitarian \| winnipeg, manitob \| sook-yin lee row 10 : 1 \| tommy douglas \| father of medicare, premier of sa \| falkirk, scotland \| george stroumboulopoulos ] Execute this SQL based on the above table: select rank order by rank desc limit 1	10
[ header: pos. \| driver \| co-driver \| car \| time \| difference \| points row 1 : 1 \| sebastien loeb \| daniel elena \| citroen c4 wr \| 3:59:18.9 \| 0 \| 10 row 2 : 2 \| dani sordo \| marc marti \| citroen c4 wr \| 3:59;36.4 \| 17.5 \| 8 row 3 : 3 \| mikko hirvonen \| jarmo lehtinen \| ford focus rs wrc \| 4:00:00.4 \| 41.5 \| 6 row 4 : 4 \| petter solberg \| phil mills \| subaru impreza wrc \| 4:02:07.8 \| 2:48.9 \| 5 row 5 : 5 \| urmo aava \| kuldar sikk \| citroen c4 wr \| 4:02:49.6 \| 3:30.7 \| 4 row 6 : 6 \| pg andersson \| jonas andersson \| suzuki sx4 wr \| 4:06:56.3 \| 7:37.4 \| 3 row 7 : 7 \| toni gardemeister \| tomi tuominen \| suzuki sx4 wr \| 4:07:13.8 \| 7:54.9 \| 2 row 8 : 8 \| federico villagra \| jorge perez companc \| ford focus rs wrc \| 4:07:53.9 \| 8:35.0 \| 1 row 9 : 1. (10.) \| martin prokop \| jan tomanek \| mitsubishi lancer evo ix \| 4:13:07.9 \| 0 \| 10 row 10 : 2. (11.) \| patrik sandell \| emil axelsson \| mitsubishi lancer evo ix \| 4:13:44.1 \| 36.2 \| 8 row 11 : 3. (12.) \| martin rauam \| silver kutt \| mitsubishi lancer evo ix \| 4:14:05.7 \| 57.8 \| 6 ] Execute this SQL based on the above table: select car where car in ( 'citroen c4 wrc' , 'ford focus rs wrc 07' ) order by car asc limit 1	citroen c4 wrc
[ 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 sum ( notes ) where id <= 2	10000.0
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select class aaa where class aa > ( select class aa where class a = 'loop' ) order by class aa asc limit 1	pearsall
[ 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 cruise (km/h) where cruise (km/h) in ( 912 , 270 ) order by model limit 1	912
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select count ( item ) where item = 'wellington hurricanes player tana umaga hit team-mate chris masoe with a roxy handbag at the "jolly poacher" bar in christchurch after masoe got into an altercation with a patron. the owner of the bag auctioned it via trademe for $22,750, generating a large media-story and over 1 million page-views before the auction closed'	1
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select count ( date ) where category > vehicle	3
[ header: staple: \| maize / corn \| rice \| wheat \| potato \| cassava \| soybean (green) \| sweet potato \| sorghum \| yam \| plantain row 1 : component (per 100g portion) \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount \| amount row 2 : water (g) \| 10 \| 12 \| 13 \| 79 \| 60 \| 68 \| 77 \| 9 \| 70 \| 65 row 3 : energy (kj) \| 1528 \| 1528 \| 1369 \| 322 \| 670 \| 615 \| 360 \| 1419 \| 494 \| 511 row 4 : protein (g) \| 9.4 \| 7.1 \| 12.6 \| 2 \| 1.4 \| 13 \| 1.6 \| 11.3 \| 1.5 \| 1.3 row 5 : fat (g) \| 4.74 \| 0.66 \| 1.54 \| 0.09 \| 0.28 \| 6.8 \| 0.05 \| 3.3 \| 0.17 \| 0.37 row 6 : carbohydrates (g) \| 74 \| 80 \| 71 \| 17 \| 38 \| 11 \| 20 \| 75 \| 28 \| 32 row 7 : fiber (g) \| 7.3 \| 1.3 \| 12.2 \| 2.2 \| 1.8 \| 4.2 \| 3 \| 6.3 \| 4.1 \| 2.3 row 8 : sugar (g) \| 0.64 \| 0.12 \| 0.41 \| 0.78 \| 1.7 \| 0 \| 4.18 \| 0 \| 0.5 \| 15 row 9 : calcium (mg) \| 7 \| 28 \| 29 \| 12 \| 16 \| 197 \| 30 \| 28 \| 17 \| 3 row 10 : iron (mg) \| 2.71 \| 0.8 \| 3.19 \| 0.78 \| 0.27 \| 3.55 \| 0.61 \| 4.4 \| 0.54 \| 0.6 row 11 : phosphorus (mg) \| 210 \| 115 \| 288 \| 57 \| 27 \| 194 \| 47 \| 287 \| 55 \| 34 row 12 : potassium (mg) \| 287 \| 115 \| 363 \| 421 \| 271 \| 620 \| 337 \| 350 \| 816 \| 499 row 13 : sodium (mg) \| 35 \| 5 \| 2 \| 6 \| 14 \| 15 \| 55 \| 6 \| 9 \| 4 row 14 : zinc (mg) \| 2.21 \| 1.09 \| 2.65 \| 0.29 \| 0.34 \| 0.99 \| 0.3 \| 0 \| 0.24 \| 0.14 row 15 : copper (mg) \| 0.31 \| 0.22 \| 0.43 \| 0.11 \| 0.1 \| 0.13 \| 0.15 \| None \| 0.18 \| 0.08 row 16 : manganese (mg) \| 0.49 \| 1.09 \| 3.99 \| 0.15 \| 0.38 \| 0.55 \| 0.26 \| None \| 0.4 \| None row 17 : selenium (μg) \| 15.5 \| 15.1 \| 70.7 \| 0.3 \| 0.7 \| 1.5 \| 0.6 \| 0 \| 0.7 \| 1.5 row 18 : vitamin c (mg) \| 0 \| 0 \| 0 \| 19.7 \| 20.6 \| 29 \| 2.4 \| 0 \| 17.1 \| 18.4 row 19 : thiamin (mg) \| 0.39 \| 0.07 \| 0.3 \| 0.08 \| 0.09 \| 0.44 \| 0.08 \| 0.24 \| 0.11 \| 0.05 row 20 : riboflavin (mg) \| 0.2 \| 0.05 \| 0.12 \| 0.03 \| 0.05 \| 0.18 \| 0.06 \| 0.14 \| 0.03 \| 0.05 row 21 : pantothenic acid (mg) \| 0.42 \| 1.01 \| 0.95 \| 0.3 \| 0.11 \| 0.15 \| 0.8 \| None \| 0.31 \| 0.26 row 22 : vitamin b6 (mg) \| 0.62 \| 0.16 \| 0.3 \| 0.3 \| 0.09 \| 0.07 \| 0.21 \| None \| 0.29 \| 0.3 row 23 : folate total (μg) \| 19 \| 8 \| 38 \| 16 \| 27 \| 165 \| 11 \| 0 \| 23 \| 22 row 24 : vitamin a (iu) \| 214 \| 0 \| 9 \| 2 \| 13 \| 180 \| 14187 \| 0 \| 138 \| 1127 ] Execute this SQL based on the above table: select staple: order by soybean (green) desc limit 1	potassium (mg)
[ header: type \| manufacturer \| numbers \| year built \| quantity built \| power (horsepower) \| max speed (km/h) \| note row 1 : rhn \| hitachi \| 1011-1048 (power cars) 11- \| 1967 \| 38+38 \| 220 \| 90 \| now use as a northeastern line commute row 2 : rts \| tokyu \| d9-d16 (power cars) \| 1971 \| 8+4 \| 220 \| 70 \| ex-mahachai railways, row 3 : thn \| tokyu, hitachi and nippo \| 1101-1140 \| 1983 \| 40 \| 235 \| 105 \| similar to nkf row 4 : nkf \| nippon sharyo, hitachi \| 1201-1264, (center) 2101 \| 1985 \| 64+12 \| 235 \| 105 \| similar to thn, but with plastic chairs row 5 : asr (class 158 express sprinter) \| brel, derby works \| 2501-2512, (center) 2113-2 \| 1991 \| 12+8 \| 285 \| 120 \| metre gauge version of british rail row 6 : apd .20 \| daewoo heavy industries \| 2513-2524 (center) 2121-21 \| 1995 \| 10+8 \| 298 \| 120 \| first batch, narrow body row 7 : apd .60 \| daewoo heavy industries \| 2525-2544 \| 1996 \| 20+40 \| 298 \| 120 \| second batch, wide body ] Execute this SQL based on the above table: select type order by quantity built desc limit 1	nkf
[ header: finalist \| age \| from \| dress colour \| status row 1 : laura sicurello \| 26 \| milton keynes \| yellow \| eliminated 1st in week 1 row 2 : belinda evans \| 28 \| somerset \| dark blue \| eliminated 2nd in week 2 row 3 : meliz serman \| 23 \| chingford, london \| gold \| eliminated 3rd in week 3 row 4 : simona armstrong \| 28 \| romania \| purple \| eliminated 4th in week 4 row 5 : leanne dobinson \| 20 \| colchester \| lilac \| eliminated 5th in week 4 row 6 : abi finley \| 23 \| manchester \| light blue \| eliminated 6th in week 5 row 7 : aoife mulholland \| 28 \| salthill \| green \| eliminated 7th in week 5 row 8 : siobhan dillon \| 21 \| staffordshire \| red \| third place row 9 : helena blackman \| 23 \| southampton \| pink \| second place row 10 : connie fisher \| 23 \| pembrokeshire \| orange \| winner ] Execute this SQL based on the above table: select dress colour where dress colour != 'orange' and from = 'manchester'	light blue
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select location where id = 1	gonzales
[ header: season \| team \| country \| competition \| matches \| goals row 1 : 1999 \| djurgardens if \| sweden \| allsvenskan \| 15 \| 1 row 2 : 2000 \| djurgardens if \| sweden \| superettan \| 15 \| 3 row 3 : 2001 \| djurgardens if \| sweden \| allsvenskan \| 22 \| 7 row 4 : 2002-2003 \| grazer ak \| austria \| bundesliga \| 24 \| 6 row 5 : 2003 \| denizlispor \| turkey \| super lig \| 3 \| 0 row 6 : 2003 \| landskrona bois \| sweden \| allsvenskan \| 11 \| 3 row 7 : 2004 \| landskrona bois \| sweden \| allsvenskan \| 22 \| 4 row 8 : 2005 \| djurgardens if \| sweden \| allsvenskan \| 24 \| 12 row 9 : 2006 \| djurgardens if \| sweden \| allsvenskan \| 17 \| 6 row 10 : 2007 \| djurgardens if \| sweden \| allsvenskan \| 23 \| 4 row 11 : 2008 \| djurgardens if \| sweden \| allsvenskan \| 29 \| 6 row 12 : 2008-09 \| esbjerg fb \| denmark \| superliga \| 6 \| 0 row 13 : 2010 \| aab \| denmark \| superliga \| 3 \| 1 row 14 : 2011 \| assyriska ff \| sweden \| superettan \| 19 \| 5 row 15 : total \| total \| total \| total \| 233 \| 58 ] Execute this SQL based on the above table: select min ( country )	austria
[ 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 successful defenses <= 6	wba (super), wbc, the ring, wbo, wba (super)
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select position + school where rd = 25	0
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select count ( year begun ) where named trains = 'royal blue'	1
[ header: year \| title \| role \| notes row 1 : 2014 \| and so it goes \| producer \| starring michael douglas and row 2 : 2011 \| flypaper \| producer \| starring patrick dempsey and row 3 : 2007 \| captivity \| producer \| None row 4 : 2006 \| o jerusalem \| producer \| None row 5 : 2005 \| the upside of anger \| executive producer \| starring kevin costner and jo row 6 : 2004 \| beyond the sea \| executive producer \| starring kevin spacey row 7 : 2004 \| the i inside \| producer \| None row 8 : 2003 \| monster \| producer \| starring charlize theron academy row 9 : 2003 \| 11:14 \| executive producer \| None row 10 : 2002 \| extreme ops \| executive producer \| None row 11 : 2001 \| the musketeer \| executive producer \| None row 12 : 2001 \| the body \| executive producer \| None row 13 : 1997 \| the blackout \| executive producer \| None row 14 : 1996 \| the winner \| executive producer \| None row 15 : 1993 \| stalingrad \| executive producer \| None row 16 : 1991 \| diary of a hitman \| executive producer \| None row 17 : 1990 \| vietnam, texas \| executive producer \| None row 18 : 1989 \| wild orchid \| producer \| starring mickey rourke row 19 : 1988 \| high spirits \| executive producer \| None row 20 : 1988 \| mac and me \| executive producer \| None row 21 : 1986 \| flight of the navigator \| executive producer \| None row 22 : 1986 \| short circuit \| executive producer \| None row 23 : 1986 \| 9 1/2 weeks \| producer \| starring mickey rourke and row 24 : 1984 \| metropolis \| sales agent \| directed by fritz lang row 25 : 1984 \| the neverending story \| executive producer \| directed by wolfgang petersen row 26 : 1977 \| the choirboys \| executive producer \| None row 27 : 1974 \| there is no 13 \| george thomas \| None row 28 : 1973 \| "hannah, queen of the vampires" \| peter \| None row 29 : 1973 \| the devil's wedding night \| karl schiller \| None row 30 : 1973 \| little mother \| riano \| None row 31 : 1972 \| byleth - il demone de \| duke lionello shandwell \| None row 32 : 1972 \| i leoni di pietroburgo \| eldar \| None row 33 : 1972 \| confessioni segrete di un convento di \| domenico \| None row 34 : 1972 \| they call him veritas \| veritas \| None row 35 : 1971 \| l'arciere di fuoco \| allen \| None row 36 : 1971 \| pistol packin' preacher \| slim \| None row 37 : 1968 \| dead men don't count \| johnny dalton \| None row 38 : 1967 \| requiescant \| george ferguson \| also starring pier paolo pas row 39 : 1966 \| johnny oro \| johnny oro/ringo \| directed by sergio corbucci row 40 : 1964 \| son of cleopatra \| el kebir \| None row 41 : 1964 \| i cento cavalieri \| don fernando herrera y \| None row 42 : 1963 \| the tyrant of castile \| pietro i: re di castigl \| None row 43 : 1963 \| the young racers \| stephen children \| directed by roger corman row 44 : 1962 \| the reluctant saint \| aldo \| directed by edward dmytry row 45 : 1962 \| the longest day \| pvt. harris \| also starring richard burton and se row 46 : 1962 \| beauty and the beast \| eduardo \| None ] Execute this SQL based on the above table: select abs ( ( select role where role = 'executive producer' ) - ( select role where role = 'karl schiller' ) )	0
[ header: rank \| peak name \| elevation \| location \| notes row 1 : 1 \| saka haphong/mowd \| 3,465 ft \| thanchi,bandarban \| unofficially the highest peak of banglades row 2 : 2 \| zow tlang/mowd \| 3,353 ft \| thanchi,bandarban \| elevation measured during the summit expedition by travelers of ban row 3 : 3 \| dumlong \| 3,314 ft \| belaichori,rangamati \| highest peak in rangamati. elevation measured row 4 : 4 \| jogi haphong \| 3,251 ft \| thanchi,bandarban \| elevation measured during the summit expedition by travelers of ban row 5 : 5 \| keokradong \| 3,235 ft \| ruma,bandarban \| most popular trekking route in bangladesh row 6 : 6 \| rang tlang \| unmeasured \| belaichori,rangamati \| None row 7 : 7 \| thingdawl te t \| 3,149 ft \| ruma,bandarban \| highest peak of lowmbok row range. elevation row 8 : 8 \| mukhra thutha \| 3,129 ft \| belaichori,rangamati \| elevation measured during the summit expedition by bd row 9 : 9 \| kapital/capital \| 3,090 ft \| ruma,bandarban \| this flat mountain top once used as a hide row 10 : 10 \| kreikung taung \| 3,083 ft \| ruma,bandarban \| elevation measured during the summit expedition by bd row 11 : 11 \| taung mey \| 3,060 ft \| ruma,bandarban \| near keokradong peak row 12 : 12 \| laisra haphong \| 3,041 ft \| belaichori,rangamati \| elevation measured during the summit expedition by bd row 13 : 13 \| rang tlang 2 \| unmeasured \| belaichori,rangamati \| None row 14 : 14 \| nasai hum \| 3,005 ft \| thanchi,bandarban \| most south-east corner peak of banglades ] Execute this SQL based on the above table: select peak name , elevation where id = ( select id where peak name = 'mukhra thuthai haphong' ) + 1	kapital/capital, 3,090 ft
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select name where name != 'harald steindorfer' and rank = 14	christos papapetrou
[ header: religious group \| population % \| growth (1991-2001) \| sex ratio (total) \| literacy (%) \| work participation (%) \| sex ratio (rural) \| sex ratio (urban) \| sex ratio (child) row 1 : hindu \| 80.46% \| 20.3% \| 931 \| 65.1% \| 40.4% \| 944 \| 894 \| 925 row 2 : muslim \| 13.43% \| 29.3% \| 936 \| 59.1% \| 31.3% \| 953 \| 907 \| 950 row 3 : christian \| 2.34% \| 22.6% \| 1009 \| 80.3% \| 39.7% \| 1001 \| 1026 \| 964 row 4 : sikh \| 1.87% \| 18.2% \| 893 \| 69.4% \| 37.7% \| 895 \| 886 \| 786 row 5 : buddhist \| 0.77% \| 18.2% \| 953 \| 72.7% \| 40.6% \| 958 \| 944 \| 942 row 6 : animist, others \| 0.72% \| 103.1% \| 992 \| 47.0% \| 48.4% \| 995 \| 966 \| 976 row 7 : jain \| 0.41% \| 26.0% \| 940 \| 94.1% \| 32.9% \| 937 \| 941 \| 870 ] Execute this SQL based on the above table: select population % where growth (1991-2001) > ( select growth (1991-2001) where population % = '0.72%' ) order by growth (1991-2001) limit 1	1.87%
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select count ( notes ) where name = 'ferdinando vicari'	0
[ header: rank \| heat \| country \| cyclists \| result \| notes row 1 : 1 \| 6 \| great britain \| chris hoy jason kenn \| 42.95 \| q, wr row 2 : 2 \| 7 \| france \| gregory bauge kevin \| 43.541 \| q row 3 : 3 \| 6 \| germany \| rene enders maximilian \| 44.197 \| q row 4 : 4 \| 7 \| netherlands \| theo bos teun mul \| 44.213 \| q row 5 : 5 \| 5 \| australia \| daniel ellis mark french \| 44.335 \| q row 6 : 6 \| 1 \| japan \| kiyofumi nagai \| 44.454 \| q row 7 : 7 \| 3 \| malaysia \| azizulhasni awang jos \| 44.752 \| q row 8 : 8 \| 2 \| united states \| michael blatchford \| 45.346 \| q row 9 : 9 \| 4 \| china \| feng yong li we \| 45.556 \| None row 10 : 10 \| 3 \| greece \| athanasios mantz \| 45.645 \| None row 11 : 11 \| 2 \| czech republic \| tomas babek adam \| 45.678 \| None row 12 : 12 \| 5 \| russia \| sergey polynskiy denis \| 45.964 \| None row 13 : 13 \| 1 \| poland \| maciej bielecki kamil \| 45.266 \| None ] Execute this SQL based on the above table: select count ( notes ) where heat = 1989	0
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select abs ( +/- - +/- ) where # of overall seats won = '0 / 497'	0.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia (rus) \| 3 \| 1 \| 1 \| 5 row 2 : 2 \| canada (can) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| germany (ger) \| 1 \| 3 \| 2 \| 6 row 4 : 4 \| france (fra) \| 0 \| 1 \| 2 \| 3 row 5 : 5 \| belarus (blr) \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| ukraine (ukr) \| 0 \| 0 \| 1 \| 1 row 7 : None \| total \| 6 \| 6 \| 6 \| 18 ] Execute this SQL based on the above table: select nation where id = ( select id where nation = 'canada (can)' ) + 1	germany (ger)