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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: 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 count ( title ) where year is null	0
[ 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 : ash creek \| 2575 \| None \| 58 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.51% \| 38°39′17′′n 98° row 2 : black wolf \| 7025 \| None \| 87 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.10% \| 38°44′40′′n 98° row 3 : carneiro \| 10800 \| None \| 57 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.36% \| 38°45′2′′n 97° row 4 : clear creek \| 13725 \| None \| 91 \| 1 (3) \| 94 (36) \| 0 (0) \| 0.17% \| 38°44′10′′n 98° row 5 : columbia \| 15025 \| None \| 60 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.04% \| 38°50′5′′n 98° row 6 : ellsworth \| 20525 \| None \| 797 \| 9 (23) \| 88 (34) \| 0 (0) \| 0.23% \| 38°43′6′′n 98° row 7 : empire \| 21150 \| None \| 174 \| 1 (3) \| 171 (66) \| 14 (6) \| 7.79% \| 38°39′6′′n 98° row 8 : garfield \| 25575 \| None \| 27 \| 0 (1) \| 92 (36) \| 0 (0) \| 0.30% \| 38°50′9′′n 98° row 9 : langley \| 38600 \| None \| 76 \| 1 (2) \| 92 (35) \| 2 (1) \| 1.86% \| 38°35′33′′n 97° row 10 : mulberry \| 49050 \| None \| 44 \| 0 (1) \| 93 (36) \| 0 (0) \| 0.24% \| 38°50′5′′n 97° row 11 : noble \| 50825 \| None \| 90 \| 1 (3) \| 93 (36) \| 0 (0) \| 0.04% \| 38°44′51′′n 98° row 12 : sherman \| 64950 \| None \| 65 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.22% \| 38°49′21′′n 98° row 13 : trivoli \| 71525 \| None \| 55 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.38% \| 38°35′7′′n 98° row 14 : valley \| 72800 \| holyrood \| 577 \| 6 (16) \| 93 (36) \| 0 (0) \| 0.14% \| 38°34′22′′n 98° ] Execute this SQL based on the above table: select count ( township ) where population < 57 and population > 813	0
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select laps where bike = 'kawasaki zx-10r'	22.0, 16.0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select round where round = 12	12
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal where tribunal = 'granada'	granada
[ header: name \| full name \| caps \| goals \| first cap \| opponent \| club row 1 : cafu \| marcos evangelista de morae \| 142 \| 5 \| 12 september 1990 \| spain \| sao paulo row 2 : rogerio ceni \| rogerio ceni \| 17 \| 0 \| 16 december 1997 \| mexico \| sao paulo row 3 : juninho \| antonio augusto ribeiro \| 40 \| 6 \| 28 march 1999 \| south korea \| vasco da gama row 4 : edmilson \| edmilson jose gomes \| 42 \| 1 \| 18 july 2000 \| paraguay \| sao paulo row 5 : tinga \| paulo cesar fonseca \| 4 \| 0 \| 9 august 2001 \| panama \| gremio row 6 : kaka \| ricardo izecson dos \| 87 \| 29 \| 31 january 2002 \| bolivia \| sao paulo row 7 : diego \| diego ribas da cunha \| 33 \| 4 \| 30 april 2003 \| mexico \| santos row 8 : gomes \| heurelho da silva go \| 11 \| 0 \| 13 july 2003 \| mexico \| cruzeiro row 9 : dudu cearense \| alexandro silva de sousa \| 11 \| 0 \| 8 july 2004 \| chile \| vitoria row 10 : grafite \| edinaldo batista \| 4 \| 1 \| 27 april 2005 \| guatemala \| sao paulo row 11 : josue \| josue anunciado de olive \| 28 \| 1 \| 27 march 2007 \| ghana \| sao paulo row 12 : doni \| donieber alexander marangon \| 10 \| 0 \| 5 june 2007 \| turkey \| as roma row 13 : alex silva \| alex sandro da silva \| 2 \| 0 \| 4 july 2007 \| ecuador \| sao paulo row 14 : thiago silva \| thiago emiliano da \| 40 \| 1 \| 12 october 2008 \| venezuela \| fluminense row 15 : ramires \| ramires santos do \| 34 \| 3 \| 6 june 2009 \| uruguay \| cruzeiro row 16 : diego tardelli \| diego tardelli martins \| 5 \| 0 \| 12 august 2009 \| estonia \| atletico mineiro row 17 : carlos eduardo \| carlos eduardo marques \| 6 \| 0 \| 14 november 2009 \| england \| hoffenheim row 18 : victor \| victor leandro bagy \| 5 \| 0 \| 10 august 2010 \| united states \| gremio row 19 : ederson \| ederson honorato campos \| 1 \| 0 \| 10 august 2010 \| united states \| lyon row 20 : wesley \| wesley lopes beltrame \| 2 \| 0 \| 3 october 2010 \| iran \| werder bremen row 21 : oscar \| oscar dos santo \| 22 \| 6 \| 14 september 2011 \| argentina \| internacional row 22 : jefferson \| jefferson de oliveira galva \| 7 \| 0 \| 14 september 2011 \| argentina \| botafogo row 23 : kleber \| kleber laude pinheiro \| 2 \| 0 \| 10 november 2011 \| gabon \| fc porto ] Execute this SQL based on the above table: select count ( * ) where club = 'fluminense'	1
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select count ( president ) where president = 'james buchanan'	1
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select avg ( location ) where location = 'kotka, finland'	0.0
[ header: property \| test method \| units \| 4275 \| 4301 \| 4435 \| 4630 \| 4645 row 1 : tensile strength \| astm d 638 \| mpa (kpsi) \| 117 (16.9) \| 113 (16.4) \| 94 (13.6) \| 81 (11.8) \| 114 (16.6) row 2 : tensile modulus \| astm d 638 \| gpa (kpsi) \| 8.8 (1,280) \| 6.8 (990) \| 14.5 (2,100) \| 7.4 (1,080) \| 18.6 (2,700) row 3 : tensile elongation \| astm d 638 \| % \| 2.6 \| 3.3 \| 1 \| 1.9 \| 0.8 row 4 : flexural strength \| astm d 790 \| mpa (kpsi) \| 208 (30.2) \| 215 (31.2) \| 152 (22.0) \| 131 (19.0) \| 154 (22.4) row 5 : flexural modulus \| astm d 790 \| gpa (kpsi) \| 7.3 (1.060) \| 6.9 (1,000) \| 14.8 (2,150) \| 6.8 (990) \| 12.4 (1,800) row 6 : compressive strength \| astm d 695 \| mpa (kpsi) \| 123 (17.8) \| 166 (24.1) \| 138 (20.0) \| 99 (14.4) \| 157 (22.8) row 7 : izod impact strength, notched \| astm d 256 \| j/m (ft-lb \| 85 (1.6) \| 64 (1.2) \| 43 (0.8) \| 48 (0.9) \| 37 (0.7) row 8 : izod impact strength, unnotched \| astm d 4812 \| j/m (ft-lb \| 270 (5) \| 430 (8) \| 210 (4) \| 160 (3) \| 110 (2) row 9 : heat deflection temperature at 264 p \| astm d 648 \| °c (°f) \| 280 (536) \| 279 (534) \| 278 (532) \| 280 (536) \| 281 (538) row 10 : coefficient linear thermal expansion \| astm d 696 \| ppm/°c (ppm/ \| 25 (14) \| 25 (14) \| 14 (8) \| 16 (9) \| 9 (3) ] Execute this SQL based on the above table: select count ( * ) where property = 'izod impact strength, unnotched'	1
[ 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 character order by id desc limit 1	helen walker
[ header: judge \| court \| began active service \| ended active service \| ended senior status row 1 : richard joseph arcara \| w.d.n.y \| february 22, 1988 \| incumbent \| None row 2 : d. brook bartlett \| w.d. mo \| september 19, 1981 \| january 21, 2000 \| None row 3 : alice m. batchelder \| n.d. ohio \| april 4, 1985 \| january 4, 1992 \| None row 4 : richard howard battey \| d.s.d \| october 28, 1985 \| january 1, 1999 \| incumbent row 5 : william docker browning \| d. ariz \| may 3, 1984 \| may 14, 1998 \| february 26, 2008 row 6 : samuel ray c \| n.d. tex \| december 9, 1987 \| incumbent \| None row 7 : glen h. davidson \| n.d. miss \| october 17, 1985 \| june 1, 2007 \| incumbent row 8 : david singleton doty \| d. minn \| may 8, 1987 \| june 30, 1998 \| incumbent row 9 : t. s. ellis, \| e.d. va \| august 6, 1987 \| april 1, 2007 \| incumbent row 10 : karen l. henderson \| d.s.c \| june 16, 1986 \| july 11, 1990 \| None row 11 : john bailey jones \| d.s.d \| november 18, 1981 \| january 1, 1995 \| incumbent row 12 : michael stephen kanne \| n.d. ind \| february 9, 1982 \| may 21, 1987 \| None row 13 : marvin katz \| e.d. pa \| august 6, 1983 \| august 26, 1997 \| october 12, 2010 row 14 : alan cooke kay \| d. haw \| september 15, 1986 \| january 2, 2000 \| incumbent row 15 : edwin michael kos \| m.d. pa \| june 16, 1986 \| july 15, 1996 \| incumbent row 16 : edmund v. l \| e.d. pa \| october 17, 1985 \| may 20, 1997 \| incumbent row 17 : alan harris neva \| d. conn \| october 17, 1985 \| march 27, 1997 \| february 2, 2009 row 18 : edward c. prado \| w.d. tex \| march 30, 1984 \| may 13, 2003 \| None row 19 : pamela ann rymer \| c.d. cal \| february 24, 1983 \| may 23, 1989 \| None row 20 : thomas e. scott \| s.d. fla \| july 18, 1985 \| october 31, 1990 \| None row 21 : jay waldman \| e.d. pa \| october 17, 1988 \| may 30, 2003 \| None ] Execute this SQL based on the above table: select ended active service where id = ( select id where ended active service = 'august 26, 1997' ) + 1	january 2, 2000
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'french montana'	1
[ header: entrant \| constructor \| chassis \| engine \| tyre \| driver \| rounds row 1 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| giancarlo baghetti \| 1, 3, 6-7 row 2 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| ricardo rodriguez \| 1-3, 6-7 row 3 : team lotus \| lotus-climax \| 25 24 \| climax fwmv 1.5 \| d \| trevor taylor \| all row 4 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| tony maggs \| all row 5 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| timmy mayer \| 8 row 6 : brabham racing organisation \| brabham-climax \| bt3 \| climax fwmv 1.5 \| d \| jack brabham \| 6, 8-9 row 7 : udt laystall racing team \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| masten gregory \| 2-4, 7-8 row 8 : porsche system engineering \| porsche \| 804 718 \| porsche 753 1.5 f8 porsche \| d \| dan gurney \| 1-2, 5-8 row 9 : r.r.c. walker racing \| lotus-climax \| 24 \| climax fwmv 1.5 \| d \| maurice trintignant \| 2-4, 6-8 row 10 : scuderia sss republic \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| nino vaccarella \| 6 row 11 : emeryson cars \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| john campbell-jones \| 3 row 12 : ecurie filipinetti \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| heini walter \| 6 row 13 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| dan gurney \| 3 row 14 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| wolfgang seidel \| 5-6 row 15 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| tony shelly \| 7 row 16 : ecurie excelsior \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| jay chamberlain \| 5-7 row 17 : bernard collomb \| cooper-climax \| t53 \| climax fpf 1.5 l \| d \| bernard collomb \| 6 row 18 : scuderia settecolli \| de tomaso-osca \| f1 \| osca 372 1.5 l4 \| d \| roberto lippi \| 7 row 19 : gerry ashmore \| lotus-climax \| 18/21 \| climax fpf 1.5 l \| d \| gerry ashmore \| 7 row 20 : scuderia jolly club \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| ernesto prinoth \| 7 ] Execute this SQL based on the above table: select entrant where id = ( select id where entrant = 'scuderia ferrari spa sefac' ) + 1	scuderia ferrari spa sefac
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select abs ( ( select round where location = 'westfalenhalle, dortmund, germany' ) - ( select round where location = 'sap arena, mannheim, germany' ) )	4.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select count ( score )	7
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 2 \| november 4 \| montreal canadiens \| 5-3 \| chicago black hawks \| 0-2-0 \| 0 row 2 : 4 \| november 7 \| chicago black hawks \| 1-5 \| montreal canadiens \| 1-3-0 \| 2 row 3 : 5 \| november 11 \| boston bruins \| 4-6 \| chicago black hawks \| 2-3-0 \| 4 row 4 : 6 \| november 13 \| chicago black hawks \| 4-1 \| toronto maple leafs \| 3-3-0 \| 6 row 5 : 9 \| november 21 \| chicago black hawks \| 2-5 \| detroit red wings \| 5-4-0 \| 10 row 6 : 10 \| november 25 \| detroit red wings \| 3-4 \| chicago black hawks \| 6-4-0 \| 12 row 7 : 12 \| november 30 \| chicago black hawks \| 5-6 \| boston bruins \| 7-5-0 \| 14 row 8 : 13 \| december 2 \| chicago black hawks \| 2-6 \| montreal canadiens \| 7-6-0 \| 14 row 9 : 14 \| december 5 \| new york rangers \| 6-7 \| chicago black hawks \| 8-6-0 \| 16 row 10 : 17 \| december 18 \| chicago black hawks \| 4-8 \| toronto maple leafs \| 9-8-0 \| 18 row 11 : 23 \| january 4 \| chicago black hawks \| 4-6 \| boston bruins \| 10-13-0 \| 20 row 12 : 24 \| january 6 \| chicago black hawks \| 1-6 \| toronto maple leafs \| 10-14-0 \| 20 row 13 : 25 \| january 9 \| chicago black hawks \| 2-4 \| detroit red wings \| 10-15-0 \| 20 row 14 : 27 \| january 16 \| montreal canadiens \| 1-1 \| chicago black hawks \| 11-15-1 \| 23 row 15 : 29 \| january 23 \| toronto maple leafs \| 3-5 \| chicago black hawks \| 12-16-1 \| 25 row 16 : 32 \| january 30 \| detroit red wings \| 2-3 \| chicago black hawks \| 15-16-1 \| 31 row 17 : 34 \| february 5 \| chicago black hawks \| 1-5 \| montreal canadiens \| 16-17-1 \| 33 row 18 : 35 \| february 6 \| chicago black hawks \| 4-4 \| new york rangers \| 16-17-2 \| 34 row 19 : 43 \| march 4 \| chicago black hawks \| 2-6 \| detroit red wings \| 20-19-4 \| 44 row 20 : 44 \| march 5 \| detroit red wings \| 1-6 \| chicago black hawks \| 21-19-4 \| 46 row 21 : 47 \| march 14 \| chicago black hawks \| 4-6 \| boston bruins \| 21-21-5 \| 47 row 22 : 48 \| march 16 \| chicago black hawks \| 2-3 \| montreal canadiens \| 21-22-5 \| 47 row 23 : 49 \| march 18 \| chicago black hawks \| 3-6 \| detroit red wings \| 21-23-5 \| 47 ] Execute this SQL based on the above table: select score order by pts desc limit 1	4-6
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select record where record = '3-3'	3-3
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue where venue = 'rye house' order by year desc limit 1	rye house
[ header: entrant \| constructor \| chassis \| engine \| tyre \| driver \| rounds row 1 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| giancarlo baghetti \| 1, 3, 6-7 row 2 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| ricardo rodriguez \| 1-3, 6-7 row 3 : team lotus \| lotus-climax \| 25 24 \| climax fwmv 1.5 \| d \| trevor taylor \| all row 4 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| tony maggs \| all row 5 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| timmy mayer \| 8 row 6 : brabham racing organisation \| brabham-climax \| bt3 \| climax fwmv 1.5 \| d \| jack brabham \| 6, 8-9 row 7 : udt laystall racing team \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| masten gregory \| 2-4, 7-8 row 8 : porsche system engineering \| porsche \| 804 718 \| porsche 753 1.5 f8 porsche \| d \| dan gurney \| 1-2, 5-8 row 9 : r.r.c. walker racing \| lotus-climax \| 24 \| climax fwmv 1.5 \| d \| maurice trintignant \| 2-4, 6-8 row 10 : scuderia sss republic \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| nino vaccarella \| 6 row 11 : emeryson cars \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| john campbell-jones \| 3 row 12 : ecurie filipinetti \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| heini walter \| 6 row 13 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| dan gurney \| 3 row 14 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| wolfgang seidel \| 5-6 row 15 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| tony shelly \| 7 row 16 : ecurie excelsior \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| jay chamberlain \| 5-7 row 17 : bernard collomb \| cooper-climax \| t53 \| climax fpf 1.5 l \| d \| bernard collomb \| 6 row 18 : scuderia settecolli \| de tomaso-osca \| f1 \| osca 372 1.5 l4 \| d \| roberto lippi \| 7 row 19 : gerry ashmore \| lotus-climax \| 18/21 \| climax fpf 1.5 l \| d \| gerry ashmore \| 7 row 20 : scuderia jolly club \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| ernesto prinoth \| 7 ] Execute this SQL based on the above table: select count ( chassis ) where id < ( select id where driver = 'giancarlo baghetti' )	0
[ header: # \| name \| alma mater \| birth date \| marriage date \| president \| tenure \| tenure row 1 : 1 \| jiang qing \| shandong provincial experimental theatre \| 19 march 1914 \| 20 november 1938 \| mao zedong \| 27 september 1954 \| 27 april 1959 row 2 : 2 \| wang guangmei \| fu jen catholic university \| 26 september 1921 \| 21 august 1948 \| liu shaoqi \| 27 april 1959 \| 21 october 1968 row 3 : 3 \| he lianying \| None \| None \| None \| dong biwu \| 31 october 1968 \| 17 january 1975 row 4 : 4 \| lin jiamei \| tong de medical college \| 1924 \| None \| li xiannian \| 18 june 1983 \| 8 april 1988 row 5 : 5 \| wang yeping \| shanghai foreign language institute \| february 1928 \| december 1949 \| jiang zemin \| 27 march 1993 \| 15 march 2003 row 6 : 6 \| liu yongqing \| tsinghua university \| 1940 \| february 1970 \| hu jintao \| 15 march 2003 \| 14 march 2013 row 7 : 7 \| peng liyuan \| china conservatory of music \| 20 november 1962 \| 1 september 1987 \| xi jinping \| 14 march 2013 \| incumbent ] Execute this SQL based on the above table: select # order by tenure asc limit 1	7
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 166106 \| 50.84 \| 2.75 \| 15 \| 3 row 2 : liberal and country league \| 119106 \| 36.45 \| -4.05 \| 20 \| -3 row 3 : independent \| 36271 \| 11.1 \| 1.03 \| 4 \| 0 row 4 : other \| 5238 \| 1.6 \| None \| 0 \| 0 row 5 : total \| 326721 \| None \| None \| 39 \| None row 6 : liberal and country league \| win \| 47 \| -4.3 \| 20 \| -3 row 7 : australian labor party \| None \| 53 \| 4.3 \| 15 \| 3 ] Execute this SQL based on the above table: select abs ( votes - votes ) order by votes desc limit 1	0
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 3, 1978 \| at new orleans saints \| l 31-24 \| 54,187 row 2 : 2 \| september 11, 1978 \| denver broncos \| w 12-9 \| 46,508 row 3 : 3 \| september 17, 1978 \| tampa bay buccaneers \| l 16-10 \| 46,152 row 4 : 4 \| september 25, 1978 \| at chicago bears \| w 24-20 \| 53,551 row 5 : 5 \| october 1, 1978 \| at tampa bay buccaneers \| w 24-7 \| 65,972 row 6 : 6 \| october 8, 1978 \| at seattle seahawks \| l 29-28 \| 62,031 row 7 : 7 \| october 15, 1978 \| los angeles rams \| l 34-17 \| 46,551 row 8 : 8 \| october 22, 1978 \| green bay packers \| w 21-7 \| 47,411 row 9 : 9 \| october 26, 1978 \| at dallas cowboys \| w 21-10 \| 61,848 row 10 : 10 \| november 5, 1978 \| detroit lions \| w 17-7 \| 46,008 row 11 : 11 \| november 12, 1978 \| chicago bears \| w 17-14 \| 43,286 row 12 : 12 \| november 19, 1978 \| san diego chargers \| l 13-7 \| 38,859 row 13 : 13 \| november 26, 1978 \| at green bay packers \| t 10-10 (ot) \| 51,737 row 14 : 14 \| december 3, 1978 \| philadelphia eagles \| w 28-27 \| 38,722 row 15 : 15 \| december 9, 1978 \| at detroit lions \| l 45-14 \| 78,685 row 16 : 16 \| december 17, 1978 \| at oakland raiders \| l 27-20 \| 44,643 ] Execute this SQL based on the above table: select week where week in ( 12 , 9 ) order by date asc limit 1	12
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select total goals where club = 'career total'	49.0
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select kickoffs returned for touchdown order by longest punt return desc limit 1	0
[ header: # \| title \| artist \| highest pos. reached \| weeks at no. 1 row 1 : 1 \| "don't cry for me argentin \| julie covington \| 1 \| 7 row 2 : 2 \| "the way you that you do it" \| pussyfoot \| 1 \| 7 row 3 : 3 \| "i just want to be your everything" \| andy gibb \| 1 \| 7 row 4 : 4 \| "that's rock and roll" \| shaun cassidy \| 2 \| None row 5 : 5 \| "living next door to alice" \| smokie \| 2 \| None row 6 : 6 \| "i go to rio" \| peter allen \| 1 \| 5 row 7 : 7 \| "torn between two lovers" \| mary mcgregor \| 1 \| 4 row 8 : 8 \| "walk right in" \| dr hook \| 1 \| 5 row 9 : 9 \| "you're moving out today" \| carole bayer sager \| 1 \| 4 row 10 : 10 \| "if you leave me now" \| chicago \| 1 \| 5 (pkd #1 in 76 row 11 : 11 \| "don't give up on us" \| david soul \| 1 \| 3 row 12 : 12 \| "lido shuffle" / " \| boz scaggs \| 2 \| None row 13 : 13 \| "you and me" \| alice cooper \| 2 \| None row 14 : 14 \| "dance little lady dance" \| tina charles \| 4 \| None row 15 : 15 \| "when i need you" \| leo sayer \| 8 \| None row 16 : 16 \| "don't fall in love" \| ferrets \| 2 \| None row 17 : 17 \| "i feel love" \| donna summer \| 1 \| 1 row 18 : 18 \| "help is on its way" \| little river band \| 1 \| 1 row 19 : 19 \| "you gotta get up and dance" \| supercharge \| 3 \| None row 20 : 20 \| "mull of kintyre" \| wings \| 1 \| 11 (pkd #1 in 77 row 21 : 21 \| "don't leave me this way" \| thelma houston \| 6 \| None row 22 : 22 \| "ain't gonna bump no more \| joe tex \| 2 \| None row 23 : 23 \| "you're in my heart" \| rod stewart \| 1 \| 1 row 24 : 24 \| "ma baker" \| boney m \| 5 \| None row 25 : 25 \| "lucille" \| kenny rogers \| 7 \| None ] Execute this SQL based on the above table: select highest pos. reached where title = '"when i need you"'	8.0
[ header: name \| completed \| architect \| location \| year of listing & ref(s) row 1 : 46-48 brown street \| 1868 \| george truefitt \| None \| None row 2 : 50 newton street \| circa 1900 \| clegg & knowles \| newton street, piccadilly \| 1988 row 3 : 53 king street \| 1912 \| charles heathcote \| king street \| None row 4 : albert hall \| 1910 \| w. j. morley \| peter street \| None row 5 : ancoats hospital \| 1891 \| lewis and crawcroft \| ancoats \| 1974 row 6 : apollo theatre \| 1930 \| None \| ardwick \| 1994 row 7 : barlow hall \| 15th century (altered since) \| None \| chorlton-cum-hardy \| 1974 (downgraded in 1994) row 8 : barnes hospital \| 1875 \| lawrence booth \| didsbury \| 1998 row 9 : bridgewater house \| 1912 \| harry fairhurst \| whitworth street \| None row 10 : cis tower \| 1962 \| gordon tait \| miller street \| 1995 row 11 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 12 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 13 : cooperative press \| late 19th century \| None \| naples street, ancoats \| 1994 row 14 : corn exchange \| 1903 \| None \| exchange square \| 1973 row 15 : derros building \| 1899 \| william sharpe \| great ancoats street \| 1998 row 16 : greenhayes centre \| 1896 \| None \| moss side \| 1994 row 17 : hanover building \| 1909 \| f.e.l harris \| corporation street \| 1988 row 18 : holyoake house \| 1911 \| f.e.l harris \| dantzic street \| 1988 row 19 : national and provoncial building society \| circa. 1910 \| c. r. cockerell \| king street \| 1974 row 20 : manchester deansgate railway station \| 1896 \| None \| None \| 1998 row 21 : manchester oxford road railway station \| 1960 \| w. r. headley and max \| oxford road \| 1995 row 22 : manchester victoria station \| 1844 \| None \| hunts bank \| 1988 row 23 : palace theatre \| 1891 \| alfred derbyshire and f. \| oxford street \| 1977 row 24 : the ritz \| 1927 \| None \| whitworth street \| 1994 row 25 : royal exchange \| 1921 \| bradshaw, gass & hope \| cross street \| None row 26 : redfern building \| 1936 \| w. a. johnson and \| dantzic street \| 1994 row 27 : sackville street building \| 1912 \| spalding and cross \| sackville street \| 1974 row 28 : st. james buildings \| 1912 \| clegg, fryer & penman \| 65-95 oxford street \| 1988 row 29 : st mary's hospital \| 1909 \| john ely \| wilmslow road \| 1994 row 30 : smithfield market hall \| 1857 \| None \| swan street, ancoats \| 1973 row 31 : strangeways prison ventilation and watch tower \| 1868 \| alfred waterhouse \| sherborne street \| 1974 row 32 : theatre royal \| 1845 \| irwin and chester \| peter street \| 1974 row 33 : the old wellington inn \| mid-16th century \| None \| shambles square \| 1952 row 34 : whitworth park mansions \| circa 1840s \| None \| whitworth park \| 1974 ] Execute this SQL based on the above table: select count ( name ) where year of listing & ref(s) > 1974	17
[ header: title \| contents \| pages \| published \| isbn row 1 : volume 1 \| "the iron legion" (issues 1- \| 112 \| july 2008 \| isbn 978-1-60010- row 2 : volume 2 \| "the star beast" (issue 26 only) \| 120 \| december 2008 \| isbn 978-1-60010-2 row 3 : volume 3 \| "changes" (issues 118-11 \| 128 \| may 2009 \| isbn 978-1-60010-4 row 4 : volume 4 \| "junk-yard demon" (issue \| 152 \| november 2009 \| isbn 978-1-60010- row 5 : volume 6 \| "the shape shifter" (issues \| 148 \| december 2010 \| isbn 978-1-60010-7 row 6 : omnibus 1 \| collects volumes 1, 2 & 3 \| 356 \| april 2010 \| isbn 978-1-60010- row 7 : omnibus 2 \| collects volumes 4, 5 & 6 \| 400 \| september 2011 \| isbn 978-1-60010-9 row 8 : omnibus 3 \| collects volumes 7, 8 & 9 \| tbc \| 2014 tbc \| isbn tbc ] Execute this SQL based on the above table: select count ( published ) where pages >= 1554	0
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 2 where no. of ep. < 20 order by id asc limit 1	30 april 2007
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select abs ( ( select senate members on election day 2000 where affiliation = 'independent' ) - ( select senate members on election day 2000 where affiliation = 'total members' ) )	91.0
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select count ( * ) where nation = 'poland'	2
[ header: name \| japanese \| distance (km) \| connections \| location row 1 : okayama \| 岡山 \| 0 \| sanyo shinkansen \| kita-ku, okayama row 2 : bizen-mikado \| 備前三門 \| 1.9 \| None \| kita-ku, okayama row 3 : daianji \| 大安寺 \| 3.3 \| None \| kita-ku, okayama row 4 : bizen-ichinomiya \| 備前一宮 \| 6.5 \| None \| kita-ku, okayama row 5 : kibitsu \| 吉備津 \| 8.4 \| None \| kita-ku, okayama row 6 : bitchu-takamatsu \| 備中高松 \| 11 \| None \| kita-ku, okayama row 7 : ashimori \| 足守 \| 13.4 \| None \| kita-ku, okayama row 8 : hattori \| 服部 \| 16.2 \| None \| soja row 9 : higashi-soja \| 東総社 \| 18.8 \| None \| soja row 10 : soja \| 総社 \| 20.4 \| hakubi line ibara railway \| soja ] Execute this SQL based on the above table: select sum ( distance (km) ) where name in ( 'kibitsu' , 'ashimori' , 'bitchu-takamatsu' )	32.8
[ header: rank \| city \| county \| state \| percentage row 1 : 1 \| palisades park \| bergen county \| new jersey \| 36.38% (52% in 2010) row 2 : 2 \| cerritos \| los angeles county \| california \| 17.69% row 3 : 3 \| la palma \| orange county \| california \| 17.43% row 4 : 4 \| leonia \| bergen county \| new jersey \| 17.24% row 5 : 5 \| fort lee \| bergen county \| new jersey \| 17.18% row 6 : 6 \| ridgefield \| bergen county \| new jersey \| 14.31% row 7 : 7 \| closter \| bergen county \| new jersey \| 12.75% row 8 : 8 \| norwood \| bergen county \| new jersey \| 12.69% row 9 : 9 \| edgewater \| bergen county \| new jersey \| 11.83% row 10 : 10 \| englewood cliffs \| bergen county \| new jersey \| 11.76% ] Execute this SQL based on the above table: select count ( * ) where city = 'englewood cliffs'	1
[ header: year \| world car of the year \| world performance car \| world green car \| world car design of the year row 1 : 2006 \| bmw 3-series (winner) \| porsche cayman s (winner \| honda civic hybrid (winner) citr \| citroen c4 (winner row 2 : 2007 \| lexus ls 460 (win \| audi rs4 (winner \| mercedes-benz e320 blue \| audi tt (winner) row 3 : 2008 \| mazda2 / demio \| audi r8 (winner) \| bmw 118d (winner) smart \| audi r8 (winner) ] Execute this SQL based on the above table: select world car of the year order by year limit 1	bmw 3-series (winner) mazda mx-5 porsche cayman s bmw 1-series honda civic and honda civic hybrid land rover range rover sport lexus is mercedes-benz m-class mercedes-benz s-class suzuki swift volkswagen passat
[ header: name \| from \| until \| relationship with predecessor row 1 : cosimo de' medici (pater patria \| 1434 \| 1 august 1464 \| son of giovanni di bicci de row 2 : piero i de' medici (pier \| 1 august 1464 \| 2 december 1469 \| eldest son of cosimo de' medici row 3 : lorenzo i de' medici ( \| 2 december 1469 \| 9 april 1492 \| eldest son of piero i row 4 : piero ii de' medici ( \| 9 april 1492 \| 8 november 1494 \| eldest son of lorenzo the row 5 : cardinal giovanni de' medici \| 31 august 1512 \| 9 march 1513 \| brother of piero the unfortunate, second son row 6 : giuliano de' medici, duke \| 9 march 1513 \| 17 march 1516 \| brother of cardinal giovanni de' row 7 : lorenzo ii de' medici \| 17 march 1516 \| 4 may 1519 \| nephew of giuliano de' medici, row 8 : cardinal giulio de' medici \| 4 may 1519 \| 19 november 1523 \| cousin of lorenzo ii de row 9 : cardinal ippolito de' medici \| 19 november 1523 \| 24 october 1529 \| cousin of cardinal giulio de ] Execute this SQL based on the above table: select from where from != 1434 and from < relationship with predecessor	1 august 1464, 2 december 1469, 9 april 1492, 31 august 1512, 9 march 1513, 17 march 1516, 4 may 1519, 19 november 1523
[ header: year \| title \| role \| notes row 1 : 1995 \| new york undercover \| herself \| "private enemy no. 1" (ep row 2 : 1998 \| the jamie foxx show \| ola mae \| "papa don't preach" (e row 3 : 1999 \| moesha \| herself \| "good vibrations?" (episo row 4 : 2001 \| angel: one more road to cross \| guardian angel \| direct to dvd row 5 : 2001 \| prison song \| mrs. butler \| main role row 6 : 2001 \| strong medicine \| simone fellows \| "history" (episode row 7 : 2007 \| ghost whisperer \| jackie boyd \| "mean ghost" (episo row 8 : 2007 \| entourage \| herself \| "gary's desk" (ep row 9 : 2009 \| i can do bad all by myself \| tanya \| supporting role row 10 : 2009 \| 30 rock \| herself \| guest row 11 : 2010 \| american idol \| guest judge/herself \| auditions were held in atlanta, ge row 12 : 2012 \| rock of ages \| justice charlier \| None row 13 : 2013 \| betty and coretta \| dr. betty shab \| an original lifetime movie row 14 : 2013 \| the x factor \| guest judge/herself \| blige assisted nicole scher row 15 : 2013 \| black nativity \| platinum fro \| None ] Execute this SQL based on the above table: select year where role = 'mrs. butler'	2001
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where duration > ( select duration where shoot location = 'smff se-ma-for łodz, poland' )	smff se-ma-for łodz, poland, smff se-ma-for łodz, poland
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) desc limit 1	venezuela
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by silver desc limit 1	brazil
[ 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 winning driver where round = 2	david martinez
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select member group by member order by count ( member ) desc limit 1	james carroll
[ 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 sum ( notes ) where role = 'executive producer'	0.0
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select team order by rank desc limit 1	belarus
[ header: year \| competition \| venue \| position \| notes row 1 : 1982 \| european championships \| athens, greece \| 1st \| 2.30 m row 2 : 1983 \| world championships \| helsinki, finland \| 4th \| 2.29 m row 3 : 1984 \| olympic games \| los angeles, united states \| 1st \| 2.35 m row 4 : 1986 \| european championships \| stuttgart, west germany \| 4th \| 2.29 m row 5 : 1987 \| world championships \| rome, italy \| 4th \| 2.35 m row 6 : 1988 \| olympic games \| seoul, south korea \| 6th \| 2.34 m row 7 : 1989 \| world indoor championships \| budapest, hungary \| 2nd \| 2.35 m row 8 : 1990 \| european championships \| split, yugoslavia \| 6th \| 2.31 m row 9 : 1992 \| olympic games \| barcelona, spain \| None \| 2.15 m ] Execute this SQL based on the above table: select sum ( competition )	0.0
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 5 \| ryan lochte \| united states \| 1:53.94 \| wr row 2 : None \| 4 \| aaron peirsol \| united states \| 1:54.33 \| None row 3 : None \| 8 \| arkady vyatchan \| russia \| 1:54.93 \| eu row 4 : 4 \| 3 \| markus rogan \| austria \| 1:55.49 \| nr row 5 : 5 \| 6 \| ryosuke irie \| japan \| 1:55.72 \| None row 6 : 6 \| 1 \| hayden stoeckel \| australia \| 1:56.39 \| oc row 7 : 7 \| 2 \| razvan florea \| romania \| 1:56.52 \| None row 8 : 8 \| 7 \| gregor tait \| great britain \| 1:57.00 \| None ] Execute this SQL based on the above table: select name where name = 'aaron peirsol' and nationality = 'united states' and name != 'arkady vyatchanin'	aaron peirsol
[ header: year \| player \| high school \| college \| nba/aba draft row 1 : 1941 \| john bass \| greenwood \| None \| None row 2 : 1943, 1944 \| no games (world war ii) \| None \| None \| None row 3 : 1948 \| bob masters \| lafayette jefferson \| indiana \| None row 4 : 1949 \| dee monroe \| madison \| kentucky \| None row 5 : 1951 \| tom harold \| muncie central \| colorado \| None row 6 : 1954 \| bobby plump \| milan \| butler \| None row 7 : 1956 \| oscar robertson \| crispus attucks \| cincinnati \| 1960 nba draft: 1st row 8 : 1957 \| john coalman \| south bend central \| fordham \| None row 9 : 1961 (tie) \| dick van arsdale \| indianapolis manual \| indiana \| 1965 nba draft: 2nd row 10 : 1962 \| larry humes \| madison \| evansville \| None row 11 : 1965 \| billy keller \| indianapolis washington \| purdue \| 1969 nba draft: 7th row 12 : 1967 \| willie long \| ft. wayne south side \| new mexico \| 1971 nba draft: 2nd row 13 : 1969 \| george mcginnis \| indianapolis washington \| indiana (1969-1971) \| 1971 aba draft: indiana pacer row 14 : 1971 \| mike flynn \| jeffersonville \| kentucky \| 1975 nba draft: 7th row 15 : 1972 \| phil cox \| connersville \| butler (1972-74) / gard \| None row 16 : 1974 (tie) \| roy taylor \| anderson \| youngstown state \| None row 17 : 1975 \| kyle macy \| peru \| purdue (1975-1976) / \| 1979 nba draft: 1st row 18 : 1979 \| steve bouchie \| washington \| indiana \| None row 19 : 1980 \| jim master \| ft. wayne harding \| kentucky \| 1984 nba draft: 6th row 20 : 1981 \| dan palombizio \| michigan city rogers \| purdue (1981-1983) / \| None row 21 : 1982 \| roger harden \| valparaiso \| kentucky \| None row 22 : 1983 \| steve alford \| new castle \| indiana \| 1987 nba draft: 2nd row 23 : 1984 (tie) \| troy lewis \| anderson \| purdue \| None row 24 : 1984 (tie) \| delray brooks \| michigan city rogers \| indiana (1984-1985) / \| None row 25 : 1985 \| jeff grose \| warsaw \| northwestern \| None row 26 : 1986 \| mark jewell \| lafayette jefferson \| evansville \| None row 27 : 1989 \| pat graham \| floyd central \| indiana \| None row 28 : 1994 \| bryce drew \| valparaiso \| valparaiso \| 1998 nba draft: 1st ] Execute this SQL based on the above table: select high school where high school = 'milan'	milan
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select count ( mountain peak ) where isolation is null	0
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select count ( party ) where diet representation representatives >= 702	0
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select count ( volts ) where power-to-weight ratio = 2004	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select name of kingdom order by no. of villages desc limit 1	godara
[ header: rank \| bib \| country \| distance (m) \| points \| time difference row 1 : 1 \| 14 \| germany tino edelmann \| 124.5 127.0 \| 264.3 128.0 136.3 \| 0:00 row 2 : 2 \| 10 \| japan akito watabe t \| 123.5 126.0 \| 258.4 126.4 132.0 \| +0:12 row 3 : 3 \| 12 \| austria bernhard gruber w \| 123.0 122.0 \| 251.8 123.3 128.5 \| +0:25 row 4 : 4 \| 11 \| france jason lamy-chappuis \| 120.5 118.5 \| 242.7 121.8 120.9 \| +0:43 row 5 : 5 \| 13 \| norway mikko kokslien \| 118.0 118.5 \| 238.1 116.8 121.3 \| +0:52 row 6 : 6 \| 8 \| czech republic miroslav d \| 114.5 120.0 \| 232.8 110.7 122.1 \| +1:03 row 7 : 7 \| 7 \| slovenia mitja oranic mar \| 109.5 123.5 \| 227.8 99.5 128.3 \| +1:13 row 8 : 8 \| 6 \| finland ilkka herola \| 120.5 113.5 \| 226.6 115.4 111.2 \| +1:15 row 9 : 9 \| 4 \| estonia han-hendrik pih \| 113.0 113.0 \| 217.5 107.4 110.1 \| +1:34 row 10 : 10 \| 9 \| united states bill demong taylor \| 111.0 112.5 \| 214.1 104.9 109.2 \| +1:40 row 11 : 11 \| 1 \| ukraine viktor pasichny \| 107.0 115.0 \| 206.2 95.7 110.5 \| +1:56 row 12 : 12 \| 2 \| russia ernest yahin \| 110.0 109.5 \| 204.8 101.8 103.0 \| +1:59 row 13 : 13 \| 5 \| italy armin bauer aless \| 105.0 113.5 \| 203.0 92.7 110.3 \| +2:03 row 14 : 14 \| 3 \| switzerland seppi hur \| 102.5 113.0 \| 196.2 88.1 108.1 \| +2:16 ] Execute this SQL based on the above table: select country order by id desc limit 1	switzerland seppi hurschler tim hug
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select country where country = 'united states'	united states, united states, united states, united states, united states, united states, united states, united states, united states, united states
[ header: model \| frame \| years mfg'd \| caliber(s) \| production \| barrel \| notes row 1 : remington-beals army model revolve \| large \| 1861-1862 \| 0.44 \| 1,900 (estimated) \| 8 inch octagon \| None row 2 : remington-beals navy model revolve \| medium \| 1861-1862 \| 0.36 \| 14,500 (estimated) \| 7 1/2 inch octagon \| None row 3 : 1861 army revolver (old model army) \| large \| 1862 \| 0.44 \| 6,000 (estimated) \| 8 inch octagon \| None row 4 : 1861 navy revolver \| medium \| 1862 \| 0.36 \| 7,000 (estimated) \| 7 3/8 inch octagon \| None row 5 : new model army revolver \| large \| 1863-1875 \| 0.44 \| 122,000 (approximately) \| 8 inch octagon \| used for factory conversions in .46 row 6 : new model navy revolver \| medium \| 1863-1875 \| 0.36 \| 28,000 (approximately) \| 7 3/8 inch octagon \| used for factory and u.s. navy row 7 : new model single action belt revolver \| large \| 1863-1875 \| .36 percussion and .38 \| 2,500 - 3,000 (estimated \| 6 1/2 inch octagon \| factory conversion production started in 1873 row 8 : remington-rider double action new \| large \| 1863-1873 \| .36 percussion and .38 \| 3,000 - 5,000 (estimated \| 6 1/2 inch octagon \| 1863-1865 available with fluted cylinder row 9 : new model police revolver \| medium \| 1865-1873 \| .36 percussion and .38 \| 25,000 (estimated) \| 3 1/2, 4 1/2, 5 1/2, 6 \| conversions all believed to be rimfire only row 10 : new model pocket revolver \| medium \| 1865-1873 \| .31 percussion and .32 \| 25,000 (estimated) \| 3, 3 1/2, 4, 4 1/2 \| majority produced as conversions or cartridge ] Execute this SQL based on the above table: select count ( model )	10
[ header: no \| episode \| title \| original airdate \| viewers \| nightly rank row 1 : 1 \| 2-01 \| "the return" (part 1) \| 16 may 2011 \| 0.927 \| 12 row 2 : 2 \| 2-02 \| "baby bumps" (part 2) \| 16 may 2011 \| 0.76 \| 16 row 3 : 3 \| 2-03 \| "dates, decisions & divorces" \| 23 may 2011 \| 0.905 \| 12 row 4 : 4 \| 2-04 \| "together we are one" \| 30 may 2011 \| 0.953 \| 11 row 5 : 5 \| 2-05 \| "the way you are" \| 6 june 2011 \| 0.954 \| 11 row 6 : 6 \| 2-06 \| "behind closed doors" \| 13 june 2011 \| 0.982 \| 13 row 7 : 7 \| 2-07 \| "cheating on your test" \| 20 june 2011 \| 0.995 \| 11 row 8 : 8 \| 2-08 \| "two different places" \| 22 june 2011 \| 0.904 \| 10 row 9 : 9 \| 2-09 \| "just keep talking" \| 27 june 2011 \| 0.938 \| 10 row 10 : 10 \| 2-10 \| "episode ten" \| 29 june 2011 \| 1.07 \| 6 row 11 : 11 \| 2-11 \| "episode eleven" \| 6 july 2011 \| 0.825 \| 14 row 12 : 12 \| 2-12 \| "episode twelve" \| 13 july 2011 \| 0.96 \| 9 row 13 : 13 \| 2-13 \| "episode thirteen" \| 20 july 2011 \| 0.997 \| 6 ] Execute this SQL based on the above table: select episode order by episode desc limit 1	2-13
[ header: rd. \| grand prix \| date \| location \| pole position \| fastest lap \| winning driver \| constructor \| report row 1 : 1 \| brazilian grand prix \| 26 march \| jacarepagua \| ayrton senna \| riccardo patrese \| nigel mansell \| ferrari \| report row 2 : 2 \| san marino grand prix \| 23 april \| imola \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 3 : 3 \| monaco grand prix \| 7 may \| monaco \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 4 : 4 \| mexican grand prix \| 28 may \| hermanos rodriguez \| ayrton senna \| nigel mansell \| ayrton senna \| mclaren-honda \| report row 5 : 5 \| united states grand prix \| 4 june \| phoenix \| ayrton senna \| ayrton senna \| alain prost \| mclaren-honda \| report row 6 : 6 \| canadian grand prix \| 18 june \| circuit gilles villeneuve \| alain prost \| jonathan palmer \| thierry boutsen \| williams-renault \| report row 7 : 7 \| french grand prix \| 9 july \| paul ricard \| alain prost \| mauricio gugelmin \| alain prost \| mclaren-honda \| report row 8 : 8 \| british grand prix \| 16 july \| silverstone \| ayrton senna \| nigel mansell \| alain prost \| mclaren-honda \| report row 9 : 9 \| german grand prix \| 30 july \| hockenheimring \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 10 : 10 \| hungarian grand prix \| 13 august \| hungaroring \| riccardo patrese \| nigel mansell \| nigel mansell \| ferrari \| report row 11 : 11 \| belgian grand prix \| 27 august \| spa-francorchamps \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 12 : 12 \| italian grand prix \| 10 september \| monza \| ayrton senna \| alain prost \| alain prost \| mclaren-honda \| report row 13 : 13 \| portuguese grand prix \| 24 september \| estoril \| ayrton senna \| gerhard berger \| gerhard berger \| ferrari \| report row 14 : 14 \| spanish grand prix \| 1 october \| jerez \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 15 : 15 \| japanese grand prix \| 22 october \| suzuka \| ayrton senna \| alain prost \| alessandro nannini \| benetton-ford \| report row 16 : 16 \| australian grand prix \| 5 november \| adelaide \| ayrton senna \| satoru nakajima \| thierry boutsen \| williams-renault \| report ] Execute this SQL based on the above table: select count ( winning driver )	16
[ 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 min ( year )	1994
[ 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 date order by # desc limit 1	26 january 2013
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select location order by first year in qld cup desc limit 1	brisbane
[ header: season \| driver \| equipment \| position \| points \| races \| wins \| second \| third row 1 : 2001 \| modris stelle \| zabel-ayr \| 27 \| 14 \| 10 \| None \| None \| None row 2 : 2002 \| modris stelle \| zabel-ayr \| 23 \| 69 \| 12 \| None \| None \| None row 3 : 2003 \| daniel willemsen \| zabel-vmc \| 1 \| 561 \| 24 \| 13 \| 9 \| None row 4 : 2004 \| daniel willemsen \| zabel-vmc \| 1 \| 572 \| 26 \| 18 \| 4 \| 1 row 5 : 2005 \| kristers sergis \| mth-bsu \| 2 \| 440 \| 22 \| 7 \| 12 \| None row 6 : 2006 \| kristers sergis \| ktm-mefo \| 19 \| 64 \| 4 \| None \| 2 \| 1 row 7 : 2007 \| kristers sergis \| ktm-mefo \| 3 \| 242 \| 16 \| 1 \| 8 \| 1 row 8 : 2008 \| kristers sergis \| ktm-ayr \| 2 \| 434 \| 24 \| 4 \| 12 \| 2 row 9 : 2009 \| nicky pulinx \| zabel-vmc \| 12 \| 229 \| 25 \| None \| None \| None row 10 : 2010 \| maris rupeiks \| ktm-wsp \| 5 \| 423 \| 28 \| 1 \| 4 \| 2 row 11 : 2011 \| maris rupeiks \| zabel-wsp \| 4 \| 316 \| 22 \| 1 \| 4 \| None row 12 : 2012 \| etienne bax \| zabel-wsp \| 2 \| 447 \| 22 \| 9 \| 8 \| 1 row 13 : 2013 \| etienne bax \| zabel-vmc \| 2 \| 513 \| 25 \| 14 \| 6 \| None row 14 : None \| overall 2001 - 2013 \| None \| None \| 4224 \| 250 \| 68 \| 69 \| 8 ] Execute this SQL based on the above table: select count ( wins ) where driver != 'overall 2001 - 2013'	9
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select selected latin american countries where id = ( select id where world ranking tourism competitiv. ttci 2011 = 60 and selected latin american countries = 'argentina' ) + 1	brazil
[ header: release \| artist \| title \| notes \| album row 1 : 2004 \| hiroshi itsuki feat. \| deigo to hanasu ( \| None \| onna no ehon row 2 : 2005 \| chikuzen sato with \| boku no mune de oya \| features on "rimits: best duet songs \| the selection of cornerstones 1995-2004 row 3 : 2005 \| rimi natsukawa \| 'aa koshien' \| None \| ningen manyoka: y row 4 : 2005 \| kaoru kurosawa duet \| manten no hoshi no yoru \| features on "rimits: best duet songs \| love anthem row 5 : 2006 \| andrea bocelli duet with rim \| somos novios (ai no \| features on "umui kaji" \| amore (japanese edition row 6 : 2008 \| taiyo yamazawa \| utabito (歌人 singer?) \| None \| music tree row 7 : 2009 \| chage with rimi natsu \| boku wa do kana (僕はとうかな what \| None \| many happy returns row 8 : 2009 \| rimi natsukawa \| tada sore dake ( \| None \| katsuhisa hattori ] Execute this SQL based on the above table: select album where id = 7	many happy returns
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select count ( * ) where film = 'jackass: the movie'	1
[ header: place \| position \| number \| name \| league two \| fa cup \| league cup \| fl trophy \| total row 1 : 1 \| mf \| 4 \| ryan hall \| 10 \| 1 \| 0 \| 3 \| 14 row 2 : 2 \| df \| 6 \| bilel mohsni \| 13 \| 0 \| 0 \| 0 \| 13 row 3 : 3 \| fw \| 22 \| liam dickinson \| 10 \| 1 \| 0 \| 1 \| 12 row 4 : 4 \| fw \| 9 \| neil harris \| 9 \| 0 \| 0 \| 1 \| 10 row 5 : 5 \| df \| 15 \| mark phillips \| 7 \| 0 \| 1 \| 0 \| 8 row 6 : 6 \| mf \| 12 \| kane ferdinand \| 7 \| 0 \| 0 \| 0 \| 7 row 7 : 7 \| mf \| 8 \| michael timlin \| 4 \| 0 \| 0 \| 0 \| 4 row 8 : 8 \| mf \| 14 \| dave martin \| 3 \| 0 \| 0 \| 0 \| 3 row 9 : 8 \| df \| 3 \| peter gilbert \| 3 \| 0 \| 0 \| 0 \| 3 row 10 : 10 \| fw \| 24 \| elliot benyon \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 10 \| fw \| 37 \| freddy eastwood \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| mf \| 18 \| ryan leonard \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 12 \| fw \| 21 \| blair sturrock \| 0 \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| mf \| 19 \| jean-paul kalala \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 12 \| df \| 16 \| luke prosser \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 12 \| mf \| 7 \| anthony grant \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 12 \| df \| 23 \| chris barker \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : None \| None \| None \| own goals \| 4 \| 0 \| 0 \| 0 \| 4 row 19 : None \| None \| None \| totals \| 79 \| 2 \| 1 \| 6 \| 88 ] Execute this SQL based on the above table: select name order by fa cup desc limit 1	totals
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( notes )	1
[ header: name \| date \| condition \| ownership / access \| notes row 1 : chateau d'angers \| 13th century \| substantially intact \| city of angers \| walls nearly 2,000 feet (610 m) row 2 : chateau de bauge \| 15th century \| intact \| None \| built as hunting lodge row 3 : chateau de bourmont \| 16-19th century \| intact and extended \| private \| extended in neo-gothic row 4 : chateau de brissac \| 15-17th century \| rebuilt \| private \| damaged during french wars of religion, rebuilt 16 row 5 : chateau de champtoce \| 13-16th century \| ruins \| None \| None row 6 : chateau de montreuil-bellay \| 11-13th century \| substantially intact \| private \| divided into rental units in 1822, restored after row 7 : chateau de montsoreau \| 1455 \| restored \| departement \| ruinous by late 19th century, restored, row 8 : chateau du plessis-bour \| 1468-1472 \| intact \| private (open to the public) \| externally unchanged since the 15th century, working row 9 : chateau du plessis-mace \| 13-16th century \| intact \| None \| converted to house 15th century row 10 : chateau de pouance \| 12-13th century \| ruins \| None \| considered second fortress of anjou, after anger row 11 : chateau de saumur \| 12th century \| restored \| city of saumur \| page for september in the tres riches row 12 : chateau de la turmeliere \| 13th century \| ruins \| None \| 19th century building of same name nearby ] Execute this SQL based on the above table: select notes where condition = 'restored'	ruinous by late 19th century, restored, houses the musee des goums marocains, page for september in the tres riches heures du duc de berry depicts the chateau as it looked in 1410
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select title where id = 5	"i want you to know"
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre \| notes row 1 : primislao, primo re di \| dramma per musica \| 3 acts \| giulio cesare corradi \| 1697, autumn \| venice, teatro s \| music lost row 2 : aminta \| dramma regio pastorale \| 3 acts \| apostolo zeno \| 1703, autumn \| florence, cocomero \| music lost row 3 : il piu fedel tra \| dramma per musica \| 3 acts \| francesco silvani \| 1705, autumn \| genoa, falcone \| music lost row 4 : la prosperita di elio \| dramma per musica \| 3 acts \| nicolo minato \| 1707, carnival \| genoa, falcone \| music lost row 5 : la fortezza al cimento \| melodramma \| 2 acts \| francesco silvani \| 1707 \| piacenza, ducale \| music lost row 6 : engelberta \| dramma per musica \| 3 acts \| apostolo zeno and pi \| 1709, carnival \| venice, teatro s \| 4th and 5th acts by francesco row 7 : ciro \| dramma per musica \| 3 acts \| pietro pariati \| 1710, carnival \| venice, teatro s \| music lost row 8 : il tiranno eroe \| dramma per musica \| 3 acts \| vincenzo cassani \| 1711, carnival \| venice, teatro s \| None row 9 : le gare generose \| dramma per musica \| 3 acts \| antonio zaniboni \| 1712, autumn \| venice, teatro s \| music lost, except five arias row 10 : eumene \| dramma per musica \| 3 acts \| antonio salvi \| 1717, autumn \| venice, teatro s \| music lost, except one aria row 11 : meleagro \| dramma per musica \| 3 acts \| pietro antonio bern \| 1718, carnival \| venice, teatro s \| music lost row 12 : scipione nelle spagne \| dramma per musica \| 3 acts \| apostolo zeno \| 1724, ascension \| venice, teatro s \| music lost row 13 : didone abbandonata \| tragedia \| 3 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 14 : l'impresario delle is \| intermezzo \| 2 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 15 : ardelinda \| dramma \| 3 acts \| bartolomeo vitturi \| 1732, autumn \| venice, teatro s \| music lost, except five arias row 16 : artamene \| dramma per musica \| 3 acts \| bartolomeo vitturi \| 1741, carnival \| venice, teatro s \| music lost ] Execute this SQL based on the above table: select premiere date order by subdivisions desc limit 1	1697, autumn
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select goal order by goal desc limit 1	15
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select name where culinary p.o.v. = '"jewish bbq guy"'	chad rosenthal
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select motorcycle order by id desc limit 1	honda rc211v
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select constituency order by change limit 1	carlow-kilkenny
[ header: team \| year \| regular season won \| regular season lost \| regular season ties \| regular season win % \| regular season finish \| post season won \| post season lost \| post season win % \| post season result row 1 : den \| 1981 \| 10 \| 6 \| 0 \| 0.625 \| 2nd in afc west \| None \| None \| None \| None row 2 : den \| 1982 \| 2 \| 7 \| 0 \| 0.222 \| 5th in afc west \| None \| None \| None \| None row 3 : den \| 1983 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in afc west \| 0 \| 1 \| 0 \| lost to seattle seahawks in a row 4 : den \| 1984 \| 13 \| 3 \| 0 \| 0.813 \| 1st in afc west \| 0 \| 1 \| 0 \| lost to pittsburgh steelers in row 5 : den \| 1985 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in afc west \| None \| None \| None \| None row 6 : den \| 1986 \| 11 \| 5 \| 0 \| 0.688 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to new york giants in super bowl row 7 : den \| 1987 \| 10 \| 4 \| 1 \| 0.714 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to washington redskins in super bowl row 8 : den \| 1988 \| 8 \| 8 \| 0 \| 0.5 \| 2nd in afc west \| None \| None \| None \| None row 9 : den \| 1990 \| 5 \| 11 \| 0 \| 0.313 \| 5th in afc west \| None \| None \| None \| None row 10 : den total \| den total \| 110 \| 73 \| 1 \| 0.601 \| None \| 7 \| 6 \| 0.538 \| None row 11 : nyg \| 1993 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in nfc east \| 1 \| 1 \| 0.5 \| lost to san francisco 49ers row 12 : nyg \| 1994 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in nfc east \| None \| None \| None \| None row 13 : nyg \| 1995 \| 5 \| 11 \| 0 \| 0.313 \| 4th in nfc east \| None \| None \| None \| None row 14 : nyg \| 1996 \| 6 \| 10 \| 0 \| 0.375 \| 5th in nfc east \| None \| None \| None \| None row 15 : nyg total \| nyg total \| 31 \| 33 \| 0 \| 0.484 \| None \| 1 \| 1 \| 0.5 \| None row 16 : atl \| 1997 \| 7 \| 9 \| 0 \| 0.438 \| 2nd in nfc west \| None \| None \| None \| None row 17 : atl \| 2000 \| 4 \| 12 \| 0 \| 0.25 \| 5th in nfc west \| None \| None \| None \| None row 18 : atl \| 2001 \| 7 \| 9 \| 0 \| 0.438 \| 3rd in nfc south \| None \| None \| None \| None row 19 : atl \| 2002 \| 9 \| 6 \| 1 \| 0.594 \| 2nd in nfc south \| 1 \| 1 \| 0.5 \| lost to philadelphia ea row 20 : atl \| 2003 \| 3 \| 10 \| 0 \| 0.231 \| 4th in nfc south \| None \| None \| None \| None row 21 : atl total \| atl total \| 49 \| 59 \| 1 \| 0.454 \| None \| 3 \| 2 \| 0.6 \| None row 22 : total \| total \| 190 \| 165 \| 2 \| 0.535 \| None \| 11 \| 9 \| 0.55 \| None ] Execute this SQL based on the above table: select count ( team )	22
[ header: tournament \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| sr \| w-l row 1 : australian open \| a \| a \| 1r \| a \| 2r \| 3r \| 2r \| 3r \| w \| 2r \| 1r \| 2r \| 1r \| 1 / 10 \| 13-9 row 2 : french open \| a \| a \| a \| a \| 3r \| a \| 2r \| 3r \| 3r \| 1r \| sf \| 1r \| 2r \| 0 / 8 \| 12-8 row 3 : wimbledon \| a \| 2r \| a \| sf \| 1r \| 3r \| 3r \| 2r \| qf \| 3r \| 3r \| 1r \| 2r \| 0 / 11 \| 17-11 row 4 : us open \| a \| 1r \| a \| 1r \| 1r \| qf \| 3r \| 3r \| 2r \| sf \| 1r \| 2r \| 2r \| 0 / 11 \| 14-11 row 5 : win-loss \| 0-0 \| 1-2 \| 0-1 \| 4-2 \| 3-4 \| 5-3 \| 6-4 \| 7-4 \| 12-3 \| 7-4 \| 6-4 \| 2-4 \| 3-4 \| 1 / 40 \| 56-39 row 6 : indian wells \| a \| a \| a \| a \| 2r \| 2r \| 1r \| f \| w \| f \| qf \| 2r \| None \| 1 / 8 \| 17-7 row 7 : miami \| a \| a \| a \| a \| 2r \| qf \| sf \| 1r \| 1r \| w \| 1r \| qf \| None \| 1 / 8 \| 13-7 row 8 : monte carlo \| a \| a \| a \| a \| 2r \| a \| 2r \| 2r \| qf \| qf \| 1r \| 1r \| None \| 0 / 7 \| 2-7 row 9 : rome \| a \| a \| a \| a \| 1r \| 1r \| f \| 2r \| 2r \| qf \| 1r \| a \| None \| 0 / 7 \| 4-7 row 10 : madrid (stuttgart \| a \| a \| a \| a \| 1r \| 1r \| qf \| 1r \| 1r \| 2r \| qf \| 1r \| None \| 0 / 8 \| 3-8 row 11 : canada \| a \| a \| a \| a \| qf \| f \| 2r \| sf \| 2r \| f \| 2r \| a \| None \| 0 / 7 \| 10-7 row 12 : cincinnati \| a \| a \| a \| a \| qf \| 1r \| sf \| w \| f \| 2r \| qf \| a \| None \| 1 / 7 \| 13-6 row 13 : shanghai \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| 2r \| 1r \| a \| None \| 0 / 2 \| 1-2 row 14 : paris \| a \| a \| a \| a \| a \| qf \| 1r \| 1r \| qf \| 2r \| f \| 1r \| None \| 0 / 7 \| 6-7 row 15 : hamburg \| a \| a \| a \| a \| 1r \| 1r \| qf \| sf \| 2r \| nm1 \| nm1 \| nm1 \| nm1 \| 0 / 5 \| 3-5 row 16 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 6-8 \| 8-8 \| 10-9 \| 12-8 \| 10-8 \| 15-8 \| 8-9 \| 3-5 \| None \| 3 / 66 \| 66-63 ] Execute this SQL based on the above table: select count ( 2001 ) where 2000 = '0-0'	2
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select tournament , venue where scored = 1 order by id asc limit 2	super league xiii, craven park, super league xiii, jjb stadium
[ 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 date where date != '28 dec 2010' and season = ( select season where date = '28 dec 2010' )	23 oct 2010, 27 nov 2010
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select athlete where athlete = 'jan urfer'	jan urfer
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select opponents in the final order by no. asc limit 10	tom okker marty riessen, john austin fred mcnair, roy emerson rod laver, paul gerken brian gottfried, roy emerson rod laver, arthur ashe roscoe tanner, ove nils bengtson jim mcmanus, gerald battrick graham stilwell, raymond moore erik van dillen, brian gottfried raul ramirez
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select date order by attendance desc limit 1	october 8, 1995
[ header: class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : gt 1.6 \| 186 \| luigi rinaldi \| luigi rinaldi mario \| alfa romeo gta \| alfa romeo 1.6 i \| 6 row 2 : p 3.0 \| 14 \| autodelta spa \| toine hezemans masten \| alfa romeo t33/3 \| alfa romeo 3.0l \| 5 row 3 : gt 1.6 \| 188 \| etna \| checco d'angelo \| alfa romeo gta \| alfa romeo 1.6l \| 5 row 4 : gt 1.3 \| 288 \| v10 kleber \| ferdi bokmann hans \| simca 1300 \| simca 1.3l i4 \| 5 row 5 : gt 2.0 \| 128 \| None \| ignazio capuano \| porsche 911s \| porsche 2.0l flat-6 \| 4 row 6 : gt 1.6 \| 180 \| scuderia pegaso \| paolo de luca giu \| alfa romeo gta \| alfa romeo 1.6l \| 4 row 7 : s 1.6 \| 156 \| etna \| giuseppe d'amico \| alfa romeo giuli \| alfa romeo 1.6l \| 3 row 8 : gt 1.6 \| 198 \| salvatore gagliano \| salvatore gagliano alfons \| alfa romeo gta \| alfa romeo 1.6l \| 3 row 9 : p 1.0 \| 254 \| romano martini \| francesco patane "oras \| fiat-abarth 1000sp \| abarth 1.0l i4 \| 3 row 10 : gt 1.6 \| 264 \| romano martini \| romano martini alessandro \| ats 1000 sp \| ford 1.0l i4 \| 3 row 11 : p 3.0 \| 38 \| abarth-osella \| arturo merzario johan \| abarth 3000sp \| abarth 3.0l v8 \| 2 row 12 : p 1.0 \| 256 \| scuderia brescia cor \| luigi moreschi "patrizia \| ams sp \| ford 1.0l i4 \| 2 row 13 : p 1.0 \| 266 \| "gero" \| "gero" "roger" \| de sanctis \| ford 1.0l i4 \| 2 row 14 : gt 1.6 \| 276 \| scuderia pegaso \| antonio catalano marc \| lancia fulvia hf \| lancia 1.6l v4 \| 2 row 15 : s 1.3 \| 232 \| aldo bersano \| aldo bersano willi \| abarth 1300s \| abarth 1.3l i4 \| 1 row 16 : gt 1.3 \| 272 \| jolly club \| antonio trenti alber \| lancia fulvia hf \| lancia 1.6l v4 \| 1 row 17 : p 3.0 \| 20 \| porsche system \| vic elford hans her \| porsche 908/03 \| porsche 3.0l flat-8 \| 0 ] Execute this SQL based on the above table: select engine order by laps desc limit 1	alfa romeo 1.6 i4
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select population (2011) where = 'total islands'	72300.0
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative area where population > 0 order by population limit 1	gough island
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select coach order by coach desc limit 1	ky foster, ralph dawson, zach toliner
[ header: high school \| join year \| from \| left \| league left to row 1 : ainsworth \| 1954 \| None \| 1961 \| big nine conference row 2 : atherton \| 1960 \| None \| 1976 \| mid-eastern eight conference row 3 : beecher \| 1950 \| None \| 1960 \| big nine conference row 4 : bendle \| 1950 \| None \| 1975 \| mid-eastern eight conference row 5 : bentley \| 1960 \| None \| 1978 \| genesee eight row 6 : brandon \| 1977 \| None \| 1978 \| five county 5 league row 7 : clio \| 1950 \| None \| 1960 \| big nine conference row 8 : davison \| 1950 \| None \| 1960 \| big nine conference row 9 : durand \| 1964 \| None \| 1978 \| flint metro league row 10 : fenton \| 1940 \| None \| 1968 \| flint metro league row 11 : flushing \| 1950 \| None \| 1960 \| big nine conference row 12 : grand blanc \| 1950 \| None \| 1960 \| big nine conference row 13 : hartland \| 1976 \| None \| 1978 \| five county 5 row 14 : kearsley \| 1950 \| None \| 1960 \| big nine conference row 15 : lake fenton \| 1976 \| None \| 1978 \| genesee eight row 16 : lakeville \| 1956 1964 \| None \| 1962 1976 \| independent flint metro league row 17 : linden \| 1974 \| None \| 1978 \| genesee eight row 18 : mt. morris \| 1950 \| None \| 1960 \| big nine conference row 19 : swartz creek \| 1960 \| county c league \| 1968 \| flint metro league ] Execute this SQL based on the above table: select high school where high school = 'grand blanc'	grand blanc
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select sum ( position ) where height = '1.97'	0.0
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select count ( town ) where deanery = 'litchfield'	5
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select count ( * ) where co-star = 'indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| sebastien bourdais \| newman/haas racing \| 66 \| 1:51:31.146 \| 2 \| 34 row 2 : 2 \| 9 \| justin wilson \| rusport \| 66 \| +3.528 secs \| 1 \| 29 row 3 : 3 \| 5 \| will power \| team australia \| 66 \| +46.536 secs \| 4 \| 26 row 4 : 4 \| 2 \| bruno junqueira \| newman/haas racing \| 66 \| +1:04.023 \| 3 \| 23 row 5 : 5 \| 15 \| alex tagliani \| team australia \| 66 \| +1:18.033 \| 8 \| 22 row 6 : 6 \| 6 \| oriol servia \| pkv racing \| 66 \| +1:28.745 \| 7 \| 19 row 7 : 7 \| 4 \| nelson philippe \| cte racing - hv \| 66 \| +1:29.997 \| 10 \| 17 row 8 : 8 \| 27 \| andrew ranger \| mi-jack conquest racing \| 65 \| + 1 lap \| 16 \| 16 row 9 : 9 \| 3 \| david martinez \| forsythe racing \| 65 \| + 1 lap \| 9 \| 13 row 10 : 10 \| 7 \| buddy rice \| forsythe racing \| 65 \| + 1 lap \| 14 \| 11 row 11 : 11 \| 34 \| charles zwolsman \| mi-jack conquest racing \| 65 \| + 1 lap \| 12 \| 10 row 12 : 12 \| 18 \| antonio pizzonia \| rocketsports racing \| 65 \| + 1 lap \| 15 \| 9 row 13 : 13 \| 11 \| jan heylen \| dale coyne racing \| 65 \| + 1 lap \| 17 \| 8 row 14 : 14 \| 10 \| ryan briscoe \| rusport \| 64 \| + 2 laps \| 5 \| 7 row 15 : 15 \| 19 \| andreas wirth \| dale coyne racing \| 64 \| + 2 laps \| 18 \| 6 row 16 : 16 \| 20 \| katherine legge \| pkv racing \| 63 \| + 3 laps \| 13 \| 5 row 17 : 17 \| 8 \| mario dominguez \| rocketsports racing \| 59 \| retired \| 11 \| 4 row 18 : 18 \| 14 \| dan clarke \| cte racing - hv \| 7 \| differential \| 6 \| 3 ] Execute this SQL based on the above table: select count ( * ) where team = 'mi-jack conquest racing'	2
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select count ( * ) where unicode = 'u+534d'	1
[ header: \| cyclist \| team \| time \| uci world tour points row 1 : 1 \| john degenkolb (ger) \| argos-shimano \| 5h 45' 16" \| 80 row 2 : 2 \| andre greipel (ger) \| lotto-belisol \| s.t \| 60 row 3 : 3 \| alexander kristoff (nor) \| team katusha \| + 1" \| 50 row 4 : 4 \| jose joaquin ro \| movistar team \| + 1" \| 40 row 5 : 5 \| elia viviani (ita) \| cannondale \| + 1" \| 30 row 6 : 6 \| boy van poppel (nld) \| vacansoleil-dcm \| + 1" \| 22 row 7 : 7 \| nikolas maes (bel \| omega pharma-quick step \| + 1" \| 14 row 8 : 8 \| thor hushovd (nor \| bmc racing team \| + 1" \| 10 row 9 : 9 \| matti breschel (dn \| team saxo-tinkoff \| + 1" \| 6 row 10 : 10 \| arnaud demare (fra \| fdj.fr \| + 1" \| 2 ] Execute this SQL based on the above table: select where time = '+ 1"'	3, 4, 5, 6, 7, 8, 9, 10
[ 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 year built where manufacturer = 'nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo'	1985
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select sudetendeutsch where description = 'total unsolved cases' and description = 'total unsolved cases'	287169
[ header: mine \| province \| coordinates \| town \| dates \| comments row 1 : barton mine \| ontario \| 47°07′08.75′′n 79 \| temagami \| 1906-1918 \| secondary products included gold, silver, copper and bis row 2 : beanland mine \| ontario \| 47°05′28.71′′n \| temagami \| 1937-1938 \| also produced silver row 3 : big dan mine \| ontario \| 47°05′28.53′′n \| temagami \| 1906-1907 \| also produced silver and arsenic row 4 : copperfields mine \| ontario \| 46°57′44.41′′n 80 \| temagami \| 1954-1972 \| secondary products included cobalt, gold, nickel row 5 : dome mine \| ontario \| None \| timmins \| None \| None row 6 : golden giant mine \| ontario \| None \| hemlo \| 1985-2006 \| None row 7 : hermiston-mccauley mine \| ontario \| 47°05′54.30′′n \| temagami \| 1935-1940 \| None row 8 : kanichee mine \| ontario \| 47°06′13.07′′n \| temagami \| 1937-1948, 1948-1949, 1973-19 \| secondary products included gold, palladium, silver row 9 : leckie mine \| ontario \| 47°05′36.34′′n \| temagami \| ~1900-1909, 1933-1937 \| also produced arsenic, copper and silver row 10 : mcintyre mines \| ontario \| None \| None \| None \| None row 11 : norrie mine \| ontario \| 47°06′59.59′′n \| temagami \| prior to 1920 \| secondary products included lead, gold, zinc and silver row 12 : northland pyrite mine \| ontario \| 47°10′26.24′′n \| temagami \| 1906-1911 \| secondary products included cobalt, copper, zinc row 13 : red lake mine \| ontario \| None \| red lake \| None \| None row 14 : temagami-lorrain mine \| ontario \| 47°06′39.79′′n \| temagami \| prior to 1912 \| also produced cobalt, arsenic ] Execute this SQL based on the above table: select comments where coordinates = '47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w'	also produced silver
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| loris capirossi \| honda \| 43:06.089 \| 25 row 2 : 2 \| doriano romboni \| honda \| 0.689 \| 20 row 3 : 3 \| max biaggi \| aprilia \| 1.181 \| 16 row 4 : 4 \| ralf waldmann \| honda \| 5.123 \| 13 row 5 : 5 \| jean-michel bayle \| aprilia \| 5.528 \| 11 row 6 : 6 \| nobuatsu aoki \| honda \| 5.821 \| 10 row 7 : 7 \| jean philippe ruggia \| aprilia \| 9.018 \| 9 row 8 : 8 \| tetsuya harada \| yamaha \| 24.059 \| 8 row 9 : 9 \| tadayuki okad \| honda \| 29.043 \| 7 row 10 : 10 \| wilco zeelenberg \| honda \| 36.273 \| 6 row 11 : 11 \| toshihiko honma \| yamaha \| 41.787 \| 5 row 12 : 12 \| adrien bosshard \| honda \| 52.489 \| 4 row 13 : 13 \| carlos checa \| honda \| 57.206 \| 3 row 14 : 14 \| eskil suter \| aprilia \| +1:01.503 \| 2 row 15 : 15 \| luis maurel \| honda \| +1:03.353 \| 1 row 16 : 16 \| patrick vd goorbergh \| aprilia \| +1:04.277 \| None row 17 : 17 \| adolf stadler \| honda \| +1:16.427 \| None row 18 : 18 \| juan borja \| honda \| +1:19.607 \| None row 19 : 19 \| chrisrian boudinot \| aprilia \| +1:20.163 \| None row 20 : 20 \| bernd kassner \| aprilia \| +1:20.761 \| None row 21 : 21 \| andreas preining \| aprilia \| +1:26.864 \| None row 22 : 22 \| noel ferro \| honda \| +1:27.009 \| None row 23 : 23 \| sebastien scarnato \| honda \| +1:36.321 \| None row 24 : 24 \| krisse kaas \| yamaha \| +1 lap \| None row 25 : 25 \| donnie hough \| honda \| +1 lap \| None row 26 : ret \| rodney fee \| honda \| retirement \| None row 27 : ret \| jurgen vd goorbergh \| aprilia \| retirement \| None row 28 : ret \| luis d'antin \| honda \| retirement \| None row 29 : ret \| manuel hernandez \| aprilia \| retirement \| None row 30 : ret \| frederic protat \| honda \| retirement \| None row 31 : ret \| giuseppe fiorillo \| honda \| retirement \| None row 32 : ret \| jose luis cardoso \| aprilia \| retirement \| None row 33 : ret \| enrique de juan \| aprilia \| retirement \| None row 34 : ret \| alessandro gramigni \| aprilia \| retirement \| None ] Execute this SQL based on the above table: select manufacturer where time/retired = '0.689'	honda
[ header: name \| canton \| district \| area (km2) \| population (as of 2005) \| date of law row 1 : diekirch dikrech \| diekirch \| diekirch \| 12.42 \| 6165 \| 24 february 1843 row 2 : differdange deifferdeng \| esch-sur-alzette \| luxembourg \| 22.18 \| 19005 \| 4 august 1907 row 3 : dudelange diddeleng \| esch-sur-alzette \| luxembourg \| 21.38 \| 17618 \| 4 august 1907 row 4 : echternach iechternach \| echternach \| grevenmacher \| 20.49 \| 4507 \| 24 february 1843 row 5 : esch-sur-alzette \| esch-sur-alzette \| luxembourg \| 14.35 \| 28000 \| 29 may 1906 row 6 : ettelbruck ettelbreck \| diekirch \| diekirch \| 15.18 \| 7364 \| 4 august 1907 row 7 : grevenmacher greiwemaa \| grevenmacher \| grevenmacher \| 16.48 \| 3966 \| 24 february 1843 row 8 : luxembourg city letzebuerg \| luxembourg \| luxembourg \| 51.46 \| 76420 \| 24 february 1843 row 9 : remich reimech \| remich \| grevenmacher \| 5.29 \| 2986 \| 24 february 1843 row 10 : rumelange remeleng \| esch-sur-alzette \| luxembourg \| 6.83 \| 4495 \| 4 august 1907 row 11 : vianden veianen \| vianden \| diekirch \| 9.67 \| 1561 \| 24 february 1843 row 12 : wiltz wolz \| wiltz \| diekirch \| 19.37 \| 4587 \| 24 february 1843 ] Execute this SQL based on the above table: select district where population (as of 2005) < ( select population (as of 2005) where district = 'luxembourg' ) order by population (as of 2005) desc limit 1	luxembourg
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 26, 1959 \| at los angeles rams \| w 23-21 \| 71297 row 2 : 2 \| october 4, 1959 \| at philadelphia eagle \| l 49-21 \| 27023 row 3 : 3 \| october 11, 1959 \| at cleveland browns \| w 10-6 \| 65534 row 4 : 4 \| october 18, 1959 \| philadelphia eagles \| w 24-7 \| 68783 row 5 : 5 \| october 25, 1959 \| at pittsburgh steelers \| w 21-16 \| 33596 row 6 : 6 \| november 1, 1959 \| green bay packers \| w 20-3 \| 68837 row 7 : 7 \| november 8, 1959 \| chicago cardinals \| w 9-3 \| 56779 row 8 : 8 \| november 15, 1959 \| pittsburgh steelers \| l 14-9 \| 66786 row 9 : 9 \| november 22, 1959 \| at chicago cardinals (bloom \| w 30-20 \| 26625 row 10 : 10 \| november 29, 1959 \| washington redskins \| w 45-14 \| 60982 row 11 : 11 \| december 6, 1959 \| cleveland browns \| w 48-7 \| 68436 row 12 : 12 \| december 13, 1959 \| at washington redskins \| w 24-10 \| 26198 ] Execute this SQL based on the above table: select result where attendance > ( select attendance where result = 'w 21-16' )	w 23-21, w 10-6, w 24-7, w 20-3, w 9-3, l 14-9, w 45-14, w 48-7
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where department = '14'	0
[ header: year \| competition \| venue \| position \| notes row 1 : 1995 \| world indoor championships \| barcelona, spain \| 11th \| pentathlon row 2 : 1996 \| olympic games \| atlanta, georgia, us \| 24th \| heptathlon row 3 : 1997 \| world championships \| athens, greece \| 16th \| heptathlon row 4 : 1998 \| european indoor championships \| valencia, spain \| 7th \| pentathlon row 5 : 1998 \| european championships \| budapest, hungary \| 14th \| heptathlon row 6 : 2000 \| olympic games \| sydney, australia \| dnf \| heptathlon ] Execute this SQL based on the above table: select ( select year where position = 'dnf' ) > 660	1
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select count ( * ) where margin of error = '± 3.8%'	2
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select count ( * ) where round > 28	0
[ header: discipline \| amanda \| bernie \| javine h \| julia \| michelle row 1 : whitewater kayak \| 0 \| 2 \| 4 \| 3 \| 6 row 2 : hurdles \| 3 \| 1 \| 6 \| 5 \| 3 row 3 : cycling \| 4 \| 2 \| 4 \| 6 \| 0 row 4 : gym floor \| 0 \| 3 \| 6 \| 5 \| 2 row 5 : swimming \| 4 \| 3 \| 6 \| 5 \| 0 row 6 : curling \| 0 \| 2 \| 4 \| 3 \| 5 row 7 : archery \| 4 \| 0 \| 5 \| 2 \| 3 row 8 : hammer \| 2 \| 3 \| 5 \| 4 \| 2 row 9 : 100m sprint \| 2 \| 0 \| 5 \| 3 \| 4 row 10 : total \| 19 \| 16 \| 45 \| 36 \| 25 ] Execute this SQL based on the above table: select discipline order by julia desc limit 1	total
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select count ( distinct first elected )	8

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ 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 count ( title ) where year is null	0
[ 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 : ash creek \| 2575 \| None \| 58 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.51% \| 38°39′17′′n 98° row 2 : black wolf \| 7025 \| None \| 87 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.10% \| 38°44′40′′n 98° row 3 : carneiro \| 10800 \| None \| 57 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.36% \| 38°45′2′′n 97° row 4 : clear creek \| 13725 \| None \| 91 \| 1 (3) \| 94 (36) \| 0 (0) \| 0.17% \| 38°44′10′′n 98° row 5 : columbia \| 15025 \| None \| 60 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.04% \| 38°50′5′′n 98° row 6 : ellsworth \| 20525 \| None \| 797 \| 9 (23) \| 88 (34) \| 0 (0) \| 0.23% \| 38°43′6′′n 98° row 7 : empire \| 21150 \| None \| 174 \| 1 (3) \| 171 (66) \| 14 (6) \| 7.79% \| 38°39′6′′n 98° row 8 : garfield \| 25575 \| None \| 27 \| 0 (1) \| 92 (36) \| 0 (0) \| 0.30% \| 38°50′9′′n 98° row 9 : langley \| 38600 \| None \| 76 \| 1 (2) \| 92 (35) \| 2 (1) \| 1.86% \| 38°35′33′′n 97° row 10 : mulberry \| 49050 \| None \| 44 \| 0 (1) \| 93 (36) \| 0 (0) \| 0.24% \| 38°50′5′′n 97° row 11 : noble \| 50825 \| None \| 90 \| 1 (3) \| 93 (36) \| 0 (0) \| 0.04% \| 38°44′51′′n 98° row 12 : sherman \| 64950 \| None \| 65 \| 1 (2) \| 94 (36) \| 0 (0) \| 0.22% \| 38°49′21′′n 98° row 13 : trivoli \| 71525 \| None \| 55 \| 1 (2) \| 93 (36) \| 0 (0) \| 0.38% \| 38°35′7′′n 98° row 14 : valley \| 72800 \| holyrood \| 577 \| 6 (16) \| 93 (36) \| 0 (0) \| 0.14% \| 38°34′22′′n 98° ] Execute this SQL based on the above table: select count ( township ) where population < 57 and population > 813	0
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select laps where bike = 'kawasaki zx-10r'	22.0, 16.0
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select round where round = 12	12
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal where tribunal = 'granada'	granada
[ header: name \| full name \| caps \| goals \| first cap \| opponent \| club row 1 : cafu \| marcos evangelista de morae \| 142 \| 5 \| 12 september 1990 \| spain \| sao paulo row 2 : rogerio ceni \| rogerio ceni \| 17 \| 0 \| 16 december 1997 \| mexico \| sao paulo row 3 : juninho \| antonio augusto ribeiro \| 40 \| 6 \| 28 march 1999 \| south korea \| vasco da gama row 4 : edmilson \| edmilson jose gomes \| 42 \| 1 \| 18 july 2000 \| paraguay \| sao paulo row 5 : tinga \| paulo cesar fonseca \| 4 \| 0 \| 9 august 2001 \| panama \| gremio row 6 : kaka \| ricardo izecson dos \| 87 \| 29 \| 31 january 2002 \| bolivia \| sao paulo row 7 : diego \| diego ribas da cunha \| 33 \| 4 \| 30 april 2003 \| mexico \| santos row 8 : gomes \| heurelho da silva go \| 11 \| 0 \| 13 july 2003 \| mexico \| cruzeiro row 9 : dudu cearense \| alexandro silva de sousa \| 11 \| 0 \| 8 july 2004 \| chile \| vitoria row 10 : grafite \| edinaldo batista \| 4 \| 1 \| 27 april 2005 \| guatemala \| sao paulo row 11 : josue \| josue anunciado de olive \| 28 \| 1 \| 27 march 2007 \| ghana \| sao paulo row 12 : doni \| donieber alexander marangon \| 10 \| 0 \| 5 june 2007 \| turkey \| as roma row 13 : alex silva \| alex sandro da silva \| 2 \| 0 \| 4 july 2007 \| ecuador \| sao paulo row 14 : thiago silva \| thiago emiliano da \| 40 \| 1 \| 12 october 2008 \| venezuela \| fluminense row 15 : ramires \| ramires santos do \| 34 \| 3 \| 6 june 2009 \| uruguay \| cruzeiro row 16 : diego tardelli \| diego tardelli martins \| 5 \| 0 \| 12 august 2009 \| estonia \| atletico mineiro row 17 : carlos eduardo \| carlos eduardo marques \| 6 \| 0 \| 14 november 2009 \| england \| hoffenheim row 18 : victor \| victor leandro bagy \| 5 \| 0 \| 10 august 2010 \| united states \| gremio row 19 : ederson \| ederson honorato campos \| 1 \| 0 \| 10 august 2010 \| united states \| lyon row 20 : wesley \| wesley lopes beltrame \| 2 \| 0 \| 3 october 2010 \| iran \| werder bremen row 21 : oscar \| oscar dos santo \| 22 \| 6 \| 14 september 2011 \| argentina \| internacional row 22 : jefferson \| jefferson de oliveira galva \| 7 \| 0 \| 14 september 2011 \| argentina \| botafogo row 23 : kleber \| kleber laude pinheiro \| 2 \| 0 \| 10 november 2011 \| gabon \| fc porto ] Execute this SQL based on the above table: select count ( * ) where club = 'fluminense'	1
[ header: # \| president \| president's party \| senate with \| senate opposed \| house with \| house opposed \| years served \| elections won row 1 : 1 \| george washington \| federalist-leaning \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 2 : 3 \| thomas jefferson \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 3 : 4 \| james madison \| democratic-republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 4 : 7 \| andrew jackson \| democratic \| 8 \| 0 \| 8 \| 0 \| 8 \| 2 row 5 : 8 \| martin van buren \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 6 : 10 \| john tyler \| whig/none \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 7 : 13 \| millard fillmore \| whig \| 0 \| 3 \| 0 \| 3 \| 3 \| 0 row 8 : 15 \| james buchanan \| democratic \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 9 : 16 \| abraham lincoln \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 10 : 17 \| andrew johnson \| democratic \| 0 \| 4 \| 0 \| 4 \| 4 \| 0 row 11 : 18 \| ulysses grant \| republican \| 8 \| 0 \| 6 \| 2 \| 8 \| 2 row 12 : 20 \| james garfield \| republican \| 0 \| 0.5 \| 0.5 \| 0 \| 0.5 \| 1 row 13 : 21 \| chester arthur \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 0 row 14 : 24 \| grover cleveland \| democratic \| 2 \| 2 \| 2 \| 2 \| 4 \| 1 row 15 : 25 \| william mckinley \| republican \| 4 \| 0 \| 4 \| 0 \| 4 \| 2 row 16 : 26 \| theodore roosevel \| republican \| 8 \| 0 \| 8 \| 0 \| 8 \| 1 row 17 : 27 \| william taft \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 18 : 28 \| woodrow wilson \| democratic \| 6 \| 2 \| 6 \| 2 \| 8 \| 2 row 19 : 29 \| warren harding \| republican \| 2 \| 0 \| 2 \| 0 \| 2 \| 1 row 20 : 30 \| calvin coolidge \| republican \| 6 \| 0 \| 6 \| 0 \| 6 \| 1 row 21 : 31 \| herbert hoover \| republican \| 4 \| 0 \| 2 \| 2 \| 4 \| 1 row 22 : 34 \| dwight eisenhower \| republican \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 23 : 36 \| lyndon johnson \| democratic \| 5 \| 0 \| 5 \| 0 \| 5 \| 1 row 24 : 38 \| gerald ford \| republican \| 0 \| 2 \| 0 \| 2 \| 2 \| 0 row 25 : 39 \| jimmy carter \| democratic \| 4 \| 0 \| 4 \| 0 \| 4 \| 1 row 26 : 41 \| george h. w. bush \| republican \| 0 \| 4 \| 0 \| 4 \| 4 \| 1 row 27 : 42 \| bill clinton \| democratic \| 2 \| 6 \| 2 \| 6 \| 8 \| 2 row 28 : 43 \| george w. bush \| republican \| 4.5 \| 3.5 \| 6 \| 2 \| 8 \| 2 row 29 : 44 \| barack obama \| democratic \| 6 \| 0 \| 2 \| 4 \| 6 \| 2 ] Execute this SQL based on the above table: select count ( president ) where president = 'james buchanan'	1
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select avg ( location ) where location = 'kotka, finland'	0.0
[ header: property \| test method \| units \| 4275 \| 4301 \| 4435 \| 4630 \| 4645 row 1 : tensile strength \| astm d 638 \| mpa (kpsi) \| 117 (16.9) \| 113 (16.4) \| 94 (13.6) \| 81 (11.8) \| 114 (16.6) row 2 : tensile modulus \| astm d 638 \| gpa (kpsi) \| 8.8 (1,280) \| 6.8 (990) \| 14.5 (2,100) \| 7.4 (1,080) \| 18.6 (2,700) row 3 : tensile elongation \| astm d 638 \| % \| 2.6 \| 3.3 \| 1 \| 1.9 \| 0.8 row 4 : flexural strength \| astm d 790 \| mpa (kpsi) \| 208 (30.2) \| 215 (31.2) \| 152 (22.0) \| 131 (19.0) \| 154 (22.4) row 5 : flexural modulus \| astm d 790 \| gpa (kpsi) \| 7.3 (1.060) \| 6.9 (1,000) \| 14.8 (2,150) \| 6.8 (990) \| 12.4 (1,800) row 6 : compressive strength \| astm d 695 \| mpa (kpsi) \| 123 (17.8) \| 166 (24.1) \| 138 (20.0) \| 99 (14.4) \| 157 (22.8) row 7 : izod impact strength, notched \| astm d 256 \| j/m (ft-lb \| 85 (1.6) \| 64 (1.2) \| 43 (0.8) \| 48 (0.9) \| 37 (0.7) row 8 : izod impact strength, unnotched \| astm d 4812 \| j/m (ft-lb \| 270 (5) \| 430 (8) \| 210 (4) \| 160 (3) \| 110 (2) row 9 : heat deflection temperature at 264 p \| astm d 648 \| °c (°f) \| 280 (536) \| 279 (534) \| 278 (532) \| 280 (536) \| 281 (538) row 10 : coefficient linear thermal expansion \| astm d 696 \| ppm/°c (ppm/ \| 25 (14) \| 25 (14) \| 14 (8) \| 16 (9) \| 9 (3) ] Execute this SQL based on the above table: select count ( * ) where property = 'izod impact strength, unnotched'	1
[ 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 character order by id desc limit 1	helen walker
[ header: judge \| court \| began active service \| ended active service \| ended senior status row 1 : richard joseph arcara \| w.d.n.y \| february 22, 1988 \| incumbent \| None row 2 : d. brook bartlett \| w.d. mo \| september 19, 1981 \| january 21, 2000 \| None row 3 : alice m. batchelder \| n.d. ohio \| april 4, 1985 \| january 4, 1992 \| None row 4 : richard howard battey \| d.s.d \| october 28, 1985 \| january 1, 1999 \| incumbent row 5 : william docker browning \| d. ariz \| may 3, 1984 \| may 14, 1998 \| february 26, 2008 row 6 : samuel ray c \| n.d. tex \| december 9, 1987 \| incumbent \| None row 7 : glen h. davidson \| n.d. miss \| october 17, 1985 \| june 1, 2007 \| incumbent row 8 : david singleton doty \| d. minn \| may 8, 1987 \| june 30, 1998 \| incumbent row 9 : t. s. ellis, \| e.d. va \| august 6, 1987 \| april 1, 2007 \| incumbent row 10 : karen l. henderson \| d.s.c \| june 16, 1986 \| july 11, 1990 \| None row 11 : john bailey jones \| d.s.d \| november 18, 1981 \| january 1, 1995 \| incumbent row 12 : michael stephen kanne \| n.d. ind \| february 9, 1982 \| may 21, 1987 \| None row 13 : marvin katz \| e.d. pa \| august 6, 1983 \| august 26, 1997 \| october 12, 2010 row 14 : alan cooke kay \| d. haw \| september 15, 1986 \| january 2, 2000 \| incumbent row 15 : edwin michael kos \| m.d. pa \| june 16, 1986 \| july 15, 1996 \| incumbent row 16 : edmund v. l \| e.d. pa \| october 17, 1985 \| may 20, 1997 \| incumbent row 17 : alan harris neva \| d. conn \| october 17, 1985 \| march 27, 1997 \| february 2, 2009 row 18 : edward c. prado \| w.d. tex \| march 30, 1984 \| may 13, 2003 \| None row 19 : pamela ann rymer \| c.d. cal \| february 24, 1983 \| may 23, 1989 \| None row 20 : thomas e. scott \| s.d. fla \| july 18, 1985 \| october 31, 1990 \| None row 21 : jay waldman \| e.d. pa \| october 17, 1988 \| may 30, 2003 \| None ] Execute this SQL based on the above table: select ended active service where id = ( select id where ended active service = 'august 26, 1997' ) + 1	january 2, 2000
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'french montana'	1
[ header: entrant \| constructor \| chassis \| engine \| tyre \| driver \| rounds row 1 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| giancarlo baghetti \| 1, 3, 6-7 row 2 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| ricardo rodriguez \| 1-3, 6-7 row 3 : team lotus \| lotus-climax \| 25 24 \| climax fwmv 1.5 \| d \| trevor taylor \| all row 4 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| tony maggs \| all row 5 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| timmy mayer \| 8 row 6 : brabham racing organisation \| brabham-climax \| bt3 \| climax fwmv 1.5 \| d \| jack brabham \| 6, 8-9 row 7 : udt laystall racing team \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| masten gregory \| 2-4, 7-8 row 8 : porsche system engineering \| porsche \| 804 718 \| porsche 753 1.5 f8 porsche \| d \| dan gurney \| 1-2, 5-8 row 9 : r.r.c. walker racing \| lotus-climax \| 24 \| climax fwmv 1.5 \| d \| maurice trintignant \| 2-4, 6-8 row 10 : scuderia sss republic \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| nino vaccarella \| 6 row 11 : emeryson cars \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| john campbell-jones \| 3 row 12 : ecurie filipinetti \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| heini walter \| 6 row 13 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| dan gurney \| 3 row 14 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| wolfgang seidel \| 5-6 row 15 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| tony shelly \| 7 row 16 : ecurie excelsior \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| jay chamberlain \| 5-7 row 17 : bernard collomb \| cooper-climax \| t53 \| climax fpf 1.5 l \| d \| bernard collomb \| 6 row 18 : scuderia settecolli \| de tomaso-osca \| f1 \| osca 372 1.5 l4 \| d \| roberto lippi \| 7 row 19 : gerry ashmore \| lotus-climax \| 18/21 \| climax fpf 1.5 l \| d \| gerry ashmore \| 7 row 20 : scuderia jolly club \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| ernesto prinoth \| 7 ] Execute this SQL based on the above table: select entrant where id = ( select id where entrant = 'scuderia ferrari spa sefac' ) + 1	scuderia ferrari spa sefac
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select abs ( ( select round where location = 'westfalenhalle, dortmund, germany' ) - ( select round where location = 'sap arena, mannheim, germany' ) )	4.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select count ( score )	7
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 2 \| november 4 \| montreal canadiens \| 5-3 \| chicago black hawks \| 0-2-0 \| 0 row 2 : 4 \| november 7 \| chicago black hawks \| 1-5 \| montreal canadiens \| 1-3-0 \| 2 row 3 : 5 \| november 11 \| boston bruins \| 4-6 \| chicago black hawks \| 2-3-0 \| 4 row 4 : 6 \| november 13 \| chicago black hawks \| 4-1 \| toronto maple leafs \| 3-3-0 \| 6 row 5 : 9 \| november 21 \| chicago black hawks \| 2-5 \| detroit red wings \| 5-4-0 \| 10 row 6 : 10 \| november 25 \| detroit red wings \| 3-4 \| chicago black hawks \| 6-4-0 \| 12 row 7 : 12 \| november 30 \| chicago black hawks \| 5-6 \| boston bruins \| 7-5-0 \| 14 row 8 : 13 \| december 2 \| chicago black hawks \| 2-6 \| montreal canadiens \| 7-6-0 \| 14 row 9 : 14 \| december 5 \| new york rangers \| 6-7 \| chicago black hawks \| 8-6-0 \| 16 row 10 : 17 \| december 18 \| chicago black hawks \| 4-8 \| toronto maple leafs \| 9-8-0 \| 18 row 11 : 23 \| january 4 \| chicago black hawks \| 4-6 \| boston bruins \| 10-13-0 \| 20 row 12 : 24 \| january 6 \| chicago black hawks \| 1-6 \| toronto maple leafs \| 10-14-0 \| 20 row 13 : 25 \| january 9 \| chicago black hawks \| 2-4 \| detroit red wings \| 10-15-0 \| 20 row 14 : 27 \| january 16 \| montreal canadiens \| 1-1 \| chicago black hawks \| 11-15-1 \| 23 row 15 : 29 \| january 23 \| toronto maple leafs \| 3-5 \| chicago black hawks \| 12-16-1 \| 25 row 16 : 32 \| january 30 \| detroit red wings \| 2-3 \| chicago black hawks \| 15-16-1 \| 31 row 17 : 34 \| february 5 \| chicago black hawks \| 1-5 \| montreal canadiens \| 16-17-1 \| 33 row 18 : 35 \| february 6 \| chicago black hawks \| 4-4 \| new york rangers \| 16-17-2 \| 34 row 19 : 43 \| march 4 \| chicago black hawks \| 2-6 \| detroit red wings \| 20-19-4 \| 44 row 20 : 44 \| march 5 \| detroit red wings \| 1-6 \| chicago black hawks \| 21-19-4 \| 46 row 21 : 47 \| march 14 \| chicago black hawks \| 4-6 \| boston bruins \| 21-21-5 \| 47 row 22 : 48 \| march 16 \| chicago black hawks \| 2-3 \| montreal canadiens \| 21-22-5 \| 47 row 23 : 49 \| march 18 \| chicago black hawks \| 3-6 \| detroit red wings \| 21-23-5 \| 47 ] Execute this SQL based on the above table: select score order by pts desc limit 1	4-6
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select record where record = '3-3'	3-3
[ header: year \| venue \| winners \| runner-up \| 3rd place row 1 : 2005 \| pardubice \| poland (41 pts) \| sweden (35 pts \| denmark (24 pts) row 2 : 2006 \| rybnik \| poland (41 pts) \| sweden (27 pts \| denmark (26 pts) row 3 : 2007 \| abensberg \| poland (40 pts) \| great britain (36 pt \| czech republic (30 pts row 4 : 2008 \| holsted \| poland (40 pts) \| denmark (39 pts) \| sweden (38 pts row 5 : 2009 \| gorzow wlkp \| poland (57 pts) \| denmark (45 pts) \| sweden (32 pts row 6 : 2010 \| rye house \| denmark (51 pts) \| sweden (37 pts \| poland (35 pts) row 7 : 2011 \| balakovo \| russia (61 pts) \| denmark (31 pts) \| ukraine (29+3 p row 8 : 2012 \| gniezno \| poland (61 pts) \| australia (44 pts) \| sweden (26 pts ] Execute this SQL based on the above table: select venue where venue = 'rye house' order by year desc limit 1	rye house
[ header: entrant \| constructor \| chassis \| engine \| tyre \| driver \| rounds row 1 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| giancarlo baghetti \| 1, 3, 6-7 row 2 : scuderia ferrari spa sef \| ferrari \| 156 \| ferrari 178 1.5 v6 \| d \| ricardo rodriguez \| 1-3, 6-7 row 3 : team lotus \| lotus-climax \| 25 24 \| climax fwmv 1.5 \| d \| trevor taylor \| all row 4 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| tony maggs \| all row 5 : cooper car company \| cooper-climax \| t60 t55 \| climax fwmv 1.5 \| d \| timmy mayer \| 8 row 6 : brabham racing organisation \| brabham-climax \| bt3 \| climax fwmv 1.5 \| d \| jack brabham \| 6, 8-9 row 7 : udt laystall racing team \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| masten gregory \| 2-4, 7-8 row 8 : porsche system engineering \| porsche \| 804 718 \| porsche 753 1.5 f8 porsche \| d \| dan gurney \| 1-2, 5-8 row 9 : r.r.c. walker racing \| lotus-climax \| 24 \| climax fwmv 1.5 \| d \| maurice trintignant \| 2-4, 6-8 row 10 : scuderia sss republic \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| nino vaccarella \| 6 row 11 : emeryson cars \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| john campbell-jones \| 3 row 12 : ecurie filipinetti \| porsche \| 718 \| porsche 547/3 1.5 f4 \| d \| heini walter \| 6 row 13 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| dan gurney \| 3 row 14 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| wolfgang seidel \| 5-6 row 15 : autosport team wolfgang seidel \| lotus-brm \| 24 \| brm p56 1.5 v8 \| d \| tony shelly \| 7 row 16 : ecurie excelsior \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| jay chamberlain \| 5-7 row 17 : bernard collomb \| cooper-climax \| t53 \| climax fpf 1.5 l \| d \| bernard collomb \| 6 row 18 : scuderia settecolli \| de tomaso-osca \| f1 \| osca 372 1.5 l4 \| d \| roberto lippi \| 7 row 19 : gerry ashmore \| lotus-climax \| 18/21 \| climax fpf 1.5 l \| d \| gerry ashmore \| 7 row 20 : scuderia jolly club \| lotus-climax \| 18 \| climax fpf 1.5 l \| d \| ernesto prinoth \| 7 ] Execute this SQL based on the above table: select count ( chassis ) where id < ( select id where driver = 'giancarlo baghetti' )	0
[ header: # \| name \| alma mater \| birth date \| marriage date \| president \| tenure \| tenure row 1 : 1 \| jiang qing \| shandong provincial experimental theatre \| 19 march 1914 \| 20 november 1938 \| mao zedong \| 27 september 1954 \| 27 april 1959 row 2 : 2 \| wang guangmei \| fu jen catholic university \| 26 september 1921 \| 21 august 1948 \| liu shaoqi \| 27 april 1959 \| 21 october 1968 row 3 : 3 \| he lianying \| None \| None \| None \| dong biwu \| 31 october 1968 \| 17 january 1975 row 4 : 4 \| lin jiamei \| tong de medical college \| 1924 \| None \| li xiannian \| 18 june 1983 \| 8 april 1988 row 5 : 5 \| wang yeping \| shanghai foreign language institute \| february 1928 \| december 1949 \| jiang zemin \| 27 march 1993 \| 15 march 2003 row 6 : 6 \| liu yongqing \| tsinghua university \| 1940 \| february 1970 \| hu jintao \| 15 march 2003 \| 14 march 2013 row 7 : 7 \| peng liyuan \| china conservatory of music \| 20 november 1962 \| 1 september 1987 \| xi jinping \| 14 march 2013 \| incumbent ] Execute this SQL based on the above table: select # order by tenure asc limit 1	7
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 166106 \| 50.84 \| 2.75 \| 15 \| 3 row 2 : liberal and country league \| 119106 \| 36.45 \| -4.05 \| 20 \| -3 row 3 : independent \| 36271 \| 11.1 \| 1.03 \| 4 \| 0 row 4 : other \| 5238 \| 1.6 \| None \| 0 \| 0 row 5 : total \| 326721 \| None \| None \| 39 \| None row 6 : liberal and country league \| win \| 47 \| -4.3 \| 20 \| -3 row 7 : australian labor party \| None \| 53 \| 4.3 \| 15 \| 3 ] Execute this SQL based on the above table: select abs ( votes - votes ) order by votes desc limit 1	0
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 3, 1978 \| at new orleans saints \| l 31-24 \| 54,187 row 2 : 2 \| september 11, 1978 \| denver broncos \| w 12-9 \| 46,508 row 3 : 3 \| september 17, 1978 \| tampa bay buccaneers \| l 16-10 \| 46,152 row 4 : 4 \| september 25, 1978 \| at chicago bears \| w 24-20 \| 53,551 row 5 : 5 \| october 1, 1978 \| at tampa bay buccaneers \| w 24-7 \| 65,972 row 6 : 6 \| october 8, 1978 \| at seattle seahawks \| l 29-28 \| 62,031 row 7 : 7 \| october 15, 1978 \| los angeles rams \| l 34-17 \| 46,551 row 8 : 8 \| october 22, 1978 \| green bay packers \| w 21-7 \| 47,411 row 9 : 9 \| october 26, 1978 \| at dallas cowboys \| w 21-10 \| 61,848 row 10 : 10 \| november 5, 1978 \| detroit lions \| w 17-7 \| 46,008 row 11 : 11 \| november 12, 1978 \| chicago bears \| w 17-14 \| 43,286 row 12 : 12 \| november 19, 1978 \| san diego chargers \| l 13-7 \| 38,859 row 13 : 13 \| november 26, 1978 \| at green bay packers \| t 10-10 (ot) \| 51,737 row 14 : 14 \| december 3, 1978 \| philadelphia eagles \| w 28-27 \| 38,722 row 15 : 15 \| december 9, 1978 \| at detroit lions \| l 45-14 \| 78,685 row 16 : 16 \| december 17, 1978 \| at oakland raiders \| l 27-20 \| 44,643 ] Execute this SQL based on the above table: select week where week in ( 12 , 9 ) order by date asc limit 1	12
[ header: club \| season \| league apps \| league goals \| fa cup apps \| fa cup goals \| league cup apps \| league cup goals \| other apps \| other goals \| total apps \| total goals row 1 : bristol rovers \| 2000-01 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 10 \| 2 row 2 : bristol rovers \| 2001-02 \| 31 \| 3 \| 3 \| 0 \| 2 \| 0 \| 3 \| 0 \| 39 \| 3 row 3 : bristol rovers \| 2002-03 \| 9 \| 0 \| 1 \| 0 \| 0 \| 0 \| 1 \| 0 \| 11 \| 0 row 4 : bristol rovers \| total \| 50 \| 5 \| 4 \| 0 \| 2 \| 0 \| 4 \| 0 \| 60 \| 5 row 5 : yeovil town \| 2002-03 \| 13 \| 13 \| 0 \| 0 \| 0 \| 0 \| 2 \| 1 \| 15 \| 14 row 6 : yeovil town \| 2003-04 \| 43 \| 8 \| 3 \| 1 \| 1 \| 0 \| 2 \| 1 \| 49 \| 10 row 7 : yeovil town \| 2004-05 \| 44 \| 3 \| 5 \| 0 \| 2 \| 0 \| 1 \| 0 \| 52 \| 3 row 8 : yeovil town \| 2005-06 \| 36 \| 2 \| 3 \| 0 \| 2 \| 1 \| 1 \| 0 \| 42 \| 3 row 9 : yeovil town \| total \| 136 \| 26 \| 11 \| 1 \| 5 \| 1 \| 6 \| 2 \| 158 \| 30 row 10 : carlisle united \| 2006-07 \| 45 \| 8 \| 1 \| 0 \| 1 \| 0 \| 1 \| 0 \| 48 \| 8 row 11 : carlisle united \| 2007-08 \| 21 \| 1 \| 2 \| 0 \| 2 \| 0 \| 2 \| 2 \| 27 \| 3 row 12 : carlisle united \| 2008-09 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 13 : carlisle united \| total \| 66 \| 9 \| 3 \| 0 \| 3 \| 0 \| 3 \| 2 \| 75 \| 11 row 14 : darlington (loan) \| 2008-09 \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 8 \| 0 row 15 : lincoln city (loan \| 2008-09 \| 9 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 0 \| 11 \| 0 row 16 : port vale (loan) \| 2008-09 \| 7 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 7 \| 0 row 17 : darlington \| 2009-10 \| 10 \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 0 \| 12 \| 2 row 18 : york city \| 2009-10 \| 5 \| 1 \| 1 \| 0 \| 0 \| 0 \| 3 \| 0 \| 9 \| 1 row 19 : wrexham \| 2010-11 \| 5 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 \| 0 row 20 : career total \| career total \| 296 \| 43 \| 19 \| 1 \| 11 \| 1 \| 19 \| 4 \| 345 \| 49 ] Execute this SQL based on the above table: select total goals where club = 'career total'	49.0
[ header: year \| team \| games \| punt return attempts \| punt return yards \| punts returned for touchdown \| punts fair caught \| longest punt return \| kickoff attempts \| kickoff return yards \| kickoffs returned for touchdown \| kickoffs fair caught \| longest kickoff return row 1 : 2008 \| den \| 15 \| 14 \| 140 \| 0 \| 10 \| 36 \| 23 \| 600 \| 0 \| 0 \| 95 row 2 : 2009 \| den \| 14 \| 30 \| 335 \| 1 \| 13 \| 71 \| 26 \| 621 \| 1 \| 0 \| 93 row 3 : 2010 \| den \| 16 \| 25 \| 298 \| 0 \| 12 \| 33 \| 5 \| 107 \| 0 \| 0 \| 33 row 4 : 2011 \| den \| 12 \| 12 \| 194 \| 1 \| 9 \| 85 \| 3 \| 47 \| 0 \| 0 \| 20 row 5 : 2012 \| sd \| 10 \| 12 \| 64 \| 0 \| 2 \| 14 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2013 \| sd \| 15 \| 7 \| 41 \| 0 \| 7 \| 12 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : total \| total \| 82 \| 100 \| 1072 \| 2 \| 53 \| 85 \| 57 \| 1375 \| 1 \| 0 \| 95 ] Execute this SQL based on the above table: select kickoffs returned for touchdown order by longest punt return desc limit 1	0
[ header: # \| title \| artist \| highest pos. reached \| weeks at no. 1 row 1 : 1 \| "don't cry for me argentin \| julie covington \| 1 \| 7 row 2 : 2 \| "the way you that you do it" \| pussyfoot \| 1 \| 7 row 3 : 3 \| "i just want to be your everything" \| andy gibb \| 1 \| 7 row 4 : 4 \| "that's rock and roll" \| shaun cassidy \| 2 \| None row 5 : 5 \| "living next door to alice" \| smokie \| 2 \| None row 6 : 6 \| "i go to rio" \| peter allen \| 1 \| 5 row 7 : 7 \| "torn between two lovers" \| mary mcgregor \| 1 \| 4 row 8 : 8 \| "walk right in" \| dr hook \| 1 \| 5 row 9 : 9 \| "you're moving out today" \| carole bayer sager \| 1 \| 4 row 10 : 10 \| "if you leave me now" \| chicago \| 1 \| 5 (pkd #1 in 76 row 11 : 11 \| "don't give up on us" \| david soul \| 1 \| 3 row 12 : 12 \| "lido shuffle" / " \| boz scaggs \| 2 \| None row 13 : 13 \| "you and me" \| alice cooper \| 2 \| None row 14 : 14 \| "dance little lady dance" \| tina charles \| 4 \| None row 15 : 15 \| "when i need you" \| leo sayer \| 8 \| None row 16 : 16 \| "don't fall in love" \| ferrets \| 2 \| None row 17 : 17 \| "i feel love" \| donna summer \| 1 \| 1 row 18 : 18 \| "help is on its way" \| little river band \| 1 \| 1 row 19 : 19 \| "you gotta get up and dance" \| supercharge \| 3 \| None row 20 : 20 \| "mull of kintyre" \| wings \| 1 \| 11 (pkd #1 in 77 row 21 : 21 \| "don't leave me this way" \| thelma houston \| 6 \| None row 22 : 22 \| "ain't gonna bump no more \| joe tex \| 2 \| None row 23 : 23 \| "you're in my heart" \| rod stewart \| 1 \| 1 row 24 : 24 \| "ma baker" \| boney m \| 5 \| None row 25 : 25 \| "lucille" \| kenny rogers \| 7 \| None ] Execute this SQL based on the above table: select highest pos. reached where title = '"when i need you"'	8.0
[ header: name \| completed \| architect \| location \| year of listing & ref(s) row 1 : 46-48 brown street \| 1868 \| george truefitt \| None \| None row 2 : 50 newton street \| circa 1900 \| clegg & knowles \| newton street, piccadilly \| 1988 row 3 : 53 king street \| 1912 \| charles heathcote \| king street \| None row 4 : albert hall \| 1910 \| w. j. morley \| peter street \| None row 5 : ancoats hospital \| 1891 \| lewis and crawcroft \| ancoats \| 1974 row 6 : apollo theatre \| 1930 \| None \| ardwick \| 1994 row 7 : barlow hall \| 15th century (altered since) \| None \| chorlton-cum-hardy \| 1974 (downgraded in 1994) row 8 : barnes hospital \| 1875 \| lawrence booth \| didsbury \| 1998 row 9 : bridgewater house \| 1912 \| harry fairhurst \| whitworth street \| None row 10 : cis tower \| 1962 \| gordon tait \| miller street \| 1995 row 11 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 12 : chancellors hotel & conference centre ( \| 1851 \| edward walters \| fallowfield \| 1974 row 13 : cooperative press \| late 19th century \| None \| naples street, ancoats \| 1994 row 14 : corn exchange \| 1903 \| None \| exchange square \| 1973 row 15 : derros building \| 1899 \| william sharpe \| great ancoats street \| 1998 row 16 : greenhayes centre \| 1896 \| None \| moss side \| 1994 row 17 : hanover building \| 1909 \| f.e.l harris \| corporation street \| 1988 row 18 : holyoake house \| 1911 \| f.e.l harris \| dantzic street \| 1988 row 19 : national and provoncial building society \| circa. 1910 \| c. r. cockerell \| king street \| 1974 row 20 : manchester deansgate railway station \| 1896 \| None \| None \| 1998 row 21 : manchester oxford road railway station \| 1960 \| w. r. headley and max \| oxford road \| 1995 row 22 : manchester victoria station \| 1844 \| None \| hunts bank \| 1988 row 23 : palace theatre \| 1891 \| alfred derbyshire and f. \| oxford street \| 1977 row 24 : the ritz \| 1927 \| None \| whitworth street \| 1994 row 25 : royal exchange \| 1921 \| bradshaw, gass & hope \| cross street \| None row 26 : redfern building \| 1936 \| w. a. johnson and \| dantzic street \| 1994 row 27 : sackville street building \| 1912 \| spalding and cross \| sackville street \| 1974 row 28 : st. james buildings \| 1912 \| clegg, fryer & penman \| 65-95 oxford street \| 1988 row 29 : st mary's hospital \| 1909 \| john ely \| wilmslow road \| 1994 row 30 : smithfield market hall \| 1857 \| None \| swan street, ancoats \| 1973 row 31 : strangeways prison ventilation and watch tower \| 1868 \| alfred waterhouse \| sherborne street \| 1974 row 32 : theatre royal \| 1845 \| irwin and chester \| peter street \| 1974 row 33 : the old wellington inn \| mid-16th century \| None \| shambles square \| 1952 row 34 : whitworth park mansions \| circa 1840s \| None \| whitworth park \| 1974 ] Execute this SQL based on the above table: select count ( name ) where year of listing & ref(s) > 1974	17
[ header: title \| contents \| pages \| published \| isbn row 1 : volume 1 \| "the iron legion" (issues 1- \| 112 \| july 2008 \| isbn 978-1-60010- row 2 : volume 2 \| "the star beast" (issue 26 only) \| 120 \| december 2008 \| isbn 978-1-60010-2 row 3 : volume 3 \| "changes" (issues 118-11 \| 128 \| may 2009 \| isbn 978-1-60010-4 row 4 : volume 4 \| "junk-yard demon" (issue \| 152 \| november 2009 \| isbn 978-1-60010- row 5 : volume 6 \| "the shape shifter" (issues \| 148 \| december 2010 \| isbn 978-1-60010-7 row 6 : omnibus 1 \| collects volumes 1, 2 & 3 \| 356 \| april 2010 \| isbn 978-1-60010- row 7 : omnibus 2 \| collects volumes 4, 5 & 6 \| 400 \| september 2011 \| isbn 978-1-60010-9 row 8 : omnibus 3 \| collects volumes 7, 8 & 9 \| tbc \| 2014 tbc \| isbn tbc ] Execute this SQL based on the above table: select count ( published ) where pages >= 1554	0
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 2 where no. of ep. < 20 order by id asc limit 1	30 april 2007
[ header: affiliation \| house members 2000 election results \| house members at dissolution \| senate members on election day 2000 \| senate members at dissolution row 1 : liberal party of canada \| 172 \| 168 \| 55 \| 65 row 2 : canadian alliance \| 66 \| None \| 1 \| None row 3 : bloc quebecois \| 38 \| 33 \| 0 \| 0 row 4 : new democratic party \| 13 \| 14 \| 0 \| 0 row 5 : progressive conservative \| 12 \| None \| 35 \| None row 6 : progressive conservative (senate caucus \| None \| None \| None \| 3 row 7 : conservative party of canada \| None \| 72 \| None \| 24 row 8 : independent \| 0 \| 10 \| 5 \| 5 row 9 : total members \| 301 \| 297 \| 96 \| 97 row 10 : vacant \| 0 \| 4 \| 9 \| 8 row 11 : total seats \| 301 \| 301 \| 105 \| 105 ] Execute this SQL based on the above table: select abs ( ( select senate members on election day 2000 where affiliation = 'independent' ) - ( select senate members on election day 2000 where affiliation = 'total members' ) )	91.0
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select count ( * ) where nation = 'poland'	2
[ header: name \| japanese \| distance (km) \| connections \| location row 1 : okayama \| 岡山 \| 0 \| sanyo shinkansen \| kita-ku, okayama row 2 : bizen-mikado \| 備前三門 \| 1.9 \| None \| kita-ku, okayama row 3 : daianji \| 大安寺 \| 3.3 \| None \| kita-ku, okayama row 4 : bizen-ichinomiya \| 備前一宮 \| 6.5 \| None \| kita-ku, okayama row 5 : kibitsu \| 吉備津 \| 8.4 \| None \| kita-ku, okayama row 6 : bitchu-takamatsu \| 備中高松 \| 11 \| None \| kita-ku, okayama row 7 : ashimori \| 足守 \| 13.4 \| None \| kita-ku, okayama row 8 : hattori \| 服部 \| 16.2 \| None \| soja row 9 : higashi-soja \| 東総社 \| 18.8 \| None \| soja row 10 : soja \| 総社 \| 20.4 \| hakubi line ibara railway \| soja ] Execute this SQL based on the above table: select sum ( distance (km) ) where name in ( 'kibitsu' , 'ashimori' , 'bitchu-takamatsu' )	32.8
[ header: rank \| city \| county \| state \| percentage row 1 : 1 \| palisades park \| bergen county \| new jersey \| 36.38% (52% in 2010) row 2 : 2 \| cerritos \| los angeles county \| california \| 17.69% row 3 : 3 \| la palma \| orange county \| california \| 17.43% row 4 : 4 \| leonia \| bergen county \| new jersey \| 17.24% row 5 : 5 \| fort lee \| bergen county \| new jersey \| 17.18% row 6 : 6 \| ridgefield \| bergen county \| new jersey \| 14.31% row 7 : 7 \| closter \| bergen county \| new jersey \| 12.75% row 8 : 8 \| norwood \| bergen county \| new jersey \| 12.69% row 9 : 9 \| edgewater \| bergen county \| new jersey \| 11.83% row 10 : 10 \| englewood cliffs \| bergen county \| new jersey \| 11.76% ] Execute this SQL based on the above table: select count ( * ) where city = 'englewood cliffs'	1
[ header: year \| world car of the year \| world performance car \| world green car \| world car design of the year row 1 : 2006 \| bmw 3-series (winner) \| porsche cayman s (winner \| honda civic hybrid (winner) citr \| citroen c4 (winner row 2 : 2007 \| lexus ls 460 (win \| audi rs4 (winner \| mercedes-benz e320 blue \| audi tt (winner) row 3 : 2008 \| mazda2 / demio \| audi r8 (winner) \| bmw 118d (winner) smart \| audi r8 (winner) ] Execute this SQL based on the above table: select world car of the year order by year limit 1	bmw 3-series (winner) mazda mx-5 porsche cayman s bmw 1-series honda civic and honda civic hybrid land rover range rover sport lexus is mercedes-benz m-class mercedes-benz s-class suzuki swift volkswagen passat
[ header: name \| from \| until \| relationship with predecessor row 1 : cosimo de' medici (pater patria \| 1434 \| 1 august 1464 \| son of giovanni di bicci de row 2 : piero i de' medici (pier \| 1 august 1464 \| 2 december 1469 \| eldest son of cosimo de' medici row 3 : lorenzo i de' medici ( \| 2 december 1469 \| 9 april 1492 \| eldest son of piero i row 4 : piero ii de' medici ( \| 9 april 1492 \| 8 november 1494 \| eldest son of lorenzo the row 5 : cardinal giovanni de' medici \| 31 august 1512 \| 9 march 1513 \| brother of piero the unfortunate, second son row 6 : giuliano de' medici, duke \| 9 march 1513 \| 17 march 1516 \| brother of cardinal giovanni de' row 7 : lorenzo ii de' medici \| 17 march 1516 \| 4 may 1519 \| nephew of giuliano de' medici, row 8 : cardinal giulio de' medici \| 4 may 1519 \| 19 november 1523 \| cousin of lorenzo ii de row 9 : cardinal ippolito de' medici \| 19 november 1523 \| 24 october 1529 \| cousin of cardinal giulio de ] Execute this SQL based on the above table: select from where from != 1434 and from < relationship with predecessor	1 august 1464, 2 december 1469, 9 april 1492, 31 august 1512, 9 march 1513, 17 march 1516, 4 may 1519, 19 november 1523
[ header: year \| title \| role \| notes row 1 : 1995 \| new york undercover \| herself \| "private enemy no. 1" (ep row 2 : 1998 \| the jamie foxx show \| ola mae \| "papa don't preach" (e row 3 : 1999 \| moesha \| herself \| "good vibrations?" (episo row 4 : 2001 \| angel: one more road to cross \| guardian angel \| direct to dvd row 5 : 2001 \| prison song \| mrs. butler \| main role row 6 : 2001 \| strong medicine \| simone fellows \| "history" (episode row 7 : 2007 \| ghost whisperer \| jackie boyd \| "mean ghost" (episo row 8 : 2007 \| entourage \| herself \| "gary's desk" (ep row 9 : 2009 \| i can do bad all by myself \| tanya \| supporting role row 10 : 2009 \| 30 rock \| herself \| guest row 11 : 2010 \| american idol \| guest judge/herself \| auditions were held in atlanta, ge row 12 : 2012 \| rock of ages \| justice charlier \| None row 13 : 2013 \| betty and coretta \| dr. betty shab \| an original lifetime movie row 14 : 2013 \| the x factor \| guest judge/herself \| blige assisted nicole scher row 15 : 2013 \| black nativity \| platinum fro \| None ] Execute this SQL based on the above table: select year where role = 'mrs. butler'	2001
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where duration > ( select duration where shoot location = 'smff se-ma-for łodz, poland' )	smff se-ma-for łodz, poland, smff se-ma-for łodz, poland
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| cuba \| 9 \| 11 \| 12 \| 32 row 2 : 2 \| jamaica \| 7 \| 5 \| 4 \| 16 row 3 : 3 \| colombia \| 4 \| 2 \| 3 \| 9 row 4 : 4 \| puerto rico \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| mexico \| 3 \| 3 \| 4 \| 10 row 6 : 6 \| trinidad and tobago \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| barbados \| 1 \| 1 \| 1 \| 3 row 8 : 8 \| guatemala \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| bahamas \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| venezuela \| 0 \| 2 \| 5 \| 7 row 11 : 11 \| u.s. virgin islands \| 0 \| 1 \| 1 \| 2 ] Execute this SQL based on the above table: select nation group by nation order by count ( nation ) desc limit 1	venezuela
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation order by silver desc limit 1	brazil
[ 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 winning driver where round = 2	david martinez
[ header: member \| party \| term row 1 : john ryan \| none \| 1859-1864 row 2 : james martin \| none \| 1864-1869 row 3 : james watson \| none \| 1869-1880 row 4 : james carroll \| independent protectionist \| 1894-1895 row 5 : james carroll \| protectionist \| 1895-1901 row 6 : james carroll \| progressive \| 1901-1904 row 7 : andrew kelly \| labor \| 1904-1913 row 8 : thomas brown \| labor \| 1913-1917 row 9 : ernest buttenshaw \| nationalist \| 1917-1920 row 10 : ernest buttenshaw \| country \| 1927-1938 row 11 : griffith evans \| country \| 1938-1943 row 12 : john chanter \| labor \| 1943-1947 row 13 : robert medcalf \| country \| 1947-1950 row 14 : ian armstrong \| national \| 1981-2007 ] Execute this SQL based on the above table: select member group by member order by count ( member ) desc limit 1	james carroll
[ 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 sum ( notes ) where role = 'executive producer'	0.0
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select team order by rank desc limit 1	belarus
[ header: year \| competition \| venue \| position \| notes row 1 : 1982 \| european championships \| athens, greece \| 1st \| 2.30 m row 2 : 1983 \| world championships \| helsinki, finland \| 4th \| 2.29 m row 3 : 1984 \| olympic games \| los angeles, united states \| 1st \| 2.35 m row 4 : 1986 \| european championships \| stuttgart, west germany \| 4th \| 2.29 m row 5 : 1987 \| world championships \| rome, italy \| 4th \| 2.35 m row 6 : 1988 \| olympic games \| seoul, south korea \| 6th \| 2.34 m row 7 : 1989 \| world indoor championships \| budapest, hungary \| 2nd \| 2.35 m row 8 : 1990 \| european championships \| split, yugoslavia \| 6th \| 2.31 m row 9 : 1992 \| olympic games \| barcelona, spain \| None \| 2.15 m ] Execute this SQL based on the above table: select sum ( competition )	0.0
[ header: rank \| lane \| name \| nationality \| time \| notes row 1 : None \| 5 \| ryan lochte \| united states \| 1:53.94 \| wr row 2 : None \| 4 \| aaron peirsol \| united states \| 1:54.33 \| None row 3 : None \| 8 \| arkady vyatchan \| russia \| 1:54.93 \| eu row 4 : 4 \| 3 \| markus rogan \| austria \| 1:55.49 \| nr row 5 : 5 \| 6 \| ryosuke irie \| japan \| 1:55.72 \| None row 6 : 6 \| 1 \| hayden stoeckel \| australia \| 1:56.39 \| oc row 7 : 7 \| 2 \| razvan florea \| romania \| 1:56.52 \| None row 8 : 8 \| 7 \| gregor tait \| great britain \| 1:57.00 \| None ] Execute this SQL based on the above table: select name where name = 'aaron peirsol' and nationality = 'united states' and name != 'arkady vyatchanin'	aaron peirsol
[ header: year \| player \| high school \| college \| nba/aba draft row 1 : 1941 \| john bass \| greenwood \| None \| None row 2 : 1943, 1944 \| no games (world war ii) \| None \| None \| None row 3 : 1948 \| bob masters \| lafayette jefferson \| indiana \| None row 4 : 1949 \| dee monroe \| madison \| kentucky \| None row 5 : 1951 \| tom harold \| muncie central \| colorado \| None row 6 : 1954 \| bobby plump \| milan \| butler \| None row 7 : 1956 \| oscar robertson \| crispus attucks \| cincinnati \| 1960 nba draft: 1st row 8 : 1957 \| john coalman \| south bend central \| fordham \| None row 9 : 1961 (tie) \| dick van arsdale \| indianapolis manual \| indiana \| 1965 nba draft: 2nd row 10 : 1962 \| larry humes \| madison \| evansville \| None row 11 : 1965 \| billy keller \| indianapolis washington \| purdue \| 1969 nba draft: 7th row 12 : 1967 \| willie long \| ft. wayne south side \| new mexico \| 1971 nba draft: 2nd row 13 : 1969 \| george mcginnis \| indianapolis washington \| indiana (1969-1971) \| 1971 aba draft: indiana pacer row 14 : 1971 \| mike flynn \| jeffersonville \| kentucky \| 1975 nba draft: 7th row 15 : 1972 \| phil cox \| connersville \| butler (1972-74) / gard \| None row 16 : 1974 (tie) \| roy taylor \| anderson \| youngstown state \| None row 17 : 1975 \| kyle macy \| peru \| purdue (1975-1976) / \| 1979 nba draft: 1st row 18 : 1979 \| steve bouchie \| washington \| indiana \| None row 19 : 1980 \| jim master \| ft. wayne harding \| kentucky \| 1984 nba draft: 6th row 20 : 1981 \| dan palombizio \| michigan city rogers \| purdue (1981-1983) / \| None row 21 : 1982 \| roger harden \| valparaiso \| kentucky \| None row 22 : 1983 \| steve alford \| new castle \| indiana \| 1987 nba draft: 2nd row 23 : 1984 (tie) \| troy lewis \| anderson \| purdue \| None row 24 : 1984 (tie) \| delray brooks \| michigan city rogers \| indiana (1984-1985) / \| None row 25 : 1985 \| jeff grose \| warsaw \| northwestern \| None row 26 : 1986 \| mark jewell \| lafayette jefferson \| evansville \| None row 27 : 1989 \| pat graham \| floyd central \| indiana \| None row 28 : 1994 \| bryce drew \| valparaiso \| valparaiso \| 1998 nba draft: 1st ] Execute this SQL based on the above table: select high school where high school = 'milan'	milan
[ header: rank \| mountain peak \| mountain range \| elevation \| prominence \| isolation \| location row 1 : 1 \| mount whitney \| sierra nevada \| 14,505 ft 4421 m \| 10,080 ft 3072 m \| 1,646 mi 2,649 km \| 36°34′43′′n 118° row 2 : 2 \| mount williamson \| sierra nevada \| 14,379 ft 4383 m \| 1,677 ft 511 m \| 5.4 mi 8.7 km \| 36°39′21′′n 118° row 3 : 4 \| north palisade \| sierra nevada \| 14,248 ft 4343 m \| 2,894 ft 882 m \| 32 mi 52 km \| 37°05′39′′n 118° row 4 : 5 \| mount shasta \| cascade range \| 14,179 ft 4322 m \| 9,832 ft 2997 m \| 335 mi 539 km \| 41°24′33′′n 122° row 5 : 6 \| mount humphreys \| sierra nevada \| 13,992 ft 4265 m \| 2,563 ft 781 m \| 15 mi 24 km \| 37°16′14′′n 118° row 6 : 7 \| mount keith \| sierra nevada \| 13,982 ft 4262 m \| 1,936 ft 590 m \| 3.1 mi 5.0 km \| 36°42′00′′n 118° row 7 : 10 \| mount morgan \| sierra nevada \| 13,758 ft 4193 m \| 2,648 ft 807 m \| 10 mi 16 km \| 37°24′19′′n 118° row 8 : 11 \| mount gabb \| sierra nevada \| 13,747 ft 4190 m \| 2,601 ft 793 m \| 4.3 mi 6.9 km \| 37°22′37′′n 118° row 9 : 12 \| mount tom \| sierra nevada \| 13,657 ft 4163 m \| 1,992 ft 607 m \| 4.8 mi 7.7 km \| 37°22′34′′n 119° row 10 : 13 \| mount dubois \| white mountains \| 13,565 ft 4135 m \| 2,339 ft 713 m \| 10 mi 16 km \| 37°47′00′′n 118° row 11 : 15 \| red slate mountain \| sierra nevada \| 13,162 ft 4012 m \| 1,736 ft 529 m \| 8 mi 13 km \| 37°30′27′′n 118° row 12 : 16 \| mount ritter \| sierra nevada \| 13,149 ft 4008 m \| 3,990 ft 1216 m \| 22 mi 35 km \| 37°41′21′′n 119° ] Execute this SQL based on the above table: select count ( mountain peak ) where isolation is null	0
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select count ( party ) where diet representation representatives >= 702	0
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select count ( volts ) where power-to-weight ratio = 2004	0
[ header: s.no. \| name of kingdom \| name of king \| no. of villages \| capital \| names of districts row 1 : 1 \| sihag \| chokha singh \| 150 \| suin \| rawatsar, baramsar, row 2 : 2 \| beniwal \| raisal singh \| 150 \| rasalana \| bhukarka, sand row 3 : 3 \| johiya \| sher singh \| 600 \| bhurupal \| jaitpur, kumanu, ma row 4 : 4 \| punia \| kanha singh \| 300 \| luddi \| bhadra, ajitpura row 5 : 5 \| saharan \| pula singh \| 300 \| bhadang \| khejra, phoglo row 6 : 6 \| godara \| pandu singh \| 700 \| shekhsar \| shekhsar, pundrasar row 7 : 7 \| kaswan \| kanwarpal singh \| 400 \| sidhmukh \| None ] Execute this SQL based on the above table: select name of kingdom order by no. of villages desc limit 1	godara
[ header: rank \| bib \| country \| distance (m) \| points \| time difference row 1 : 1 \| 14 \| germany tino edelmann \| 124.5 127.0 \| 264.3 128.0 136.3 \| 0:00 row 2 : 2 \| 10 \| japan akito watabe t \| 123.5 126.0 \| 258.4 126.4 132.0 \| +0:12 row 3 : 3 \| 12 \| austria bernhard gruber w \| 123.0 122.0 \| 251.8 123.3 128.5 \| +0:25 row 4 : 4 \| 11 \| france jason lamy-chappuis \| 120.5 118.5 \| 242.7 121.8 120.9 \| +0:43 row 5 : 5 \| 13 \| norway mikko kokslien \| 118.0 118.5 \| 238.1 116.8 121.3 \| +0:52 row 6 : 6 \| 8 \| czech republic miroslav d \| 114.5 120.0 \| 232.8 110.7 122.1 \| +1:03 row 7 : 7 \| 7 \| slovenia mitja oranic mar \| 109.5 123.5 \| 227.8 99.5 128.3 \| +1:13 row 8 : 8 \| 6 \| finland ilkka herola \| 120.5 113.5 \| 226.6 115.4 111.2 \| +1:15 row 9 : 9 \| 4 \| estonia han-hendrik pih \| 113.0 113.0 \| 217.5 107.4 110.1 \| +1:34 row 10 : 10 \| 9 \| united states bill demong taylor \| 111.0 112.5 \| 214.1 104.9 109.2 \| +1:40 row 11 : 11 \| 1 \| ukraine viktor pasichny \| 107.0 115.0 \| 206.2 95.7 110.5 \| +1:56 row 12 : 12 \| 2 \| russia ernest yahin \| 110.0 109.5 \| 204.8 101.8 103.0 \| +1:59 row 13 : 13 \| 5 \| italy armin bauer aless \| 105.0 113.5 \| 203.0 92.7 110.3 \| +2:03 row 14 : 14 \| 3 \| switzerland seppi hur \| 102.5 113.0 \| 196.2 88.1 108.1 \| +2:16 ] Execute this SQL based on the above table: select country order by id desc limit 1	switzerland seppi hurschler tim hug
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select country where country = 'united states'	united states, united states, united states, united states, united states, united states, united states, united states, united states, united states
[ header: model \| frame \| years mfg'd \| caliber(s) \| production \| barrel \| notes row 1 : remington-beals army model revolve \| large \| 1861-1862 \| 0.44 \| 1,900 (estimated) \| 8 inch octagon \| None row 2 : remington-beals navy model revolve \| medium \| 1861-1862 \| 0.36 \| 14,500 (estimated) \| 7 1/2 inch octagon \| None row 3 : 1861 army revolver (old model army) \| large \| 1862 \| 0.44 \| 6,000 (estimated) \| 8 inch octagon \| None row 4 : 1861 navy revolver \| medium \| 1862 \| 0.36 \| 7,000 (estimated) \| 7 3/8 inch octagon \| None row 5 : new model army revolver \| large \| 1863-1875 \| 0.44 \| 122,000 (approximately) \| 8 inch octagon \| used for factory conversions in .46 row 6 : new model navy revolver \| medium \| 1863-1875 \| 0.36 \| 28,000 (approximately) \| 7 3/8 inch octagon \| used for factory and u.s. navy row 7 : new model single action belt revolver \| large \| 1863-1875 \| .36 percussion and .38 \| 2,500 - 3,000 (estimated \| 6 1/2 inch octagon \| factory conversion production started in 1873 row 8 : remington-rider double action new \| large \| 1863-1873 \| .36 percussion and .38 \| 3,000 - 5,000 (estimated \| 6 1/2 inch octagon \| 1863-1865 available with fluted cylinder row 9 : new model police revolver \| medium \| 1865-1873 \| .36 percussion and .38 \| 25,000 (estimated) \| 3 1/2, 4 1/2, 5 1/2, 6 \| conversions all believed to be rimfire only row 10 : new model pocket revolver \| medium \| 1865-1873 \| .31 percussion and .32 \| 25,000 (estimated) \| 3, 3 1/2, 4, 4 1/2 \| majority produced as conversions or cartridge ] Execute this SQL based on the above table: select count ( model )	10
[ header: no \| episode \| title \| original airdate \| viewers \| nightly rank row 1 : 1 \| 2-01 \| "the return" (part 1) \| 16 may 2011 \| 0.927 \| 12 row 2 : 2 \| 2-02 \| "baby bumps" (part 2) \| 16 may 2011 \| 0.76 \| 16 row 3 : 3 \| 2-03 \| "dates, decisions & divorces" \| 23 may 2011 \| 0.905 \| 12 row 4 : 4 \| 2-04 \| "together we are one" \| 30 may 2011 \| 0.953 \| 11 row 5 : 5 \| 2-05 \| "the way you are" \| 6 june 2011 \| 0.954 \| 11 row 6 : 6 \| 2-06 \| "behind closed doors" \| 13 june 2011 \| 0.982 \| 13 row 7 : 7 \| 2-07 \| "cheating on your test" \| 20 june 2011 \| 0.995 \| 11 row 8 : 8 \| 2-08 \| "two different places" \| 22 june 2011 \| 0.904 \| 10 row 9 : 9 \| 2-09 \| "just keep talking" \| 27 june 2011 \| 0.938 \| 10 row 10 : 10 \| 2-10 \| "episode ten" \| 29 june 2011 \| 1.07 \| 6 row 11 : 11 \| 2-11 \| "episode eleven" \| 6 july 2011 \| 0.825 \| 14 row 12 : 12 \| 2-12 \| "episode twelve" \| 13 july 2011 \| 0.96 \| 9 row 13 : 13 \| 2-13 \| "episode thirteen" \| 20 july 2011 \| 0.997 \| 6 ] Execute this SQL based on the above table: select episode order by episode desc limit 1	2-13
[ header: rd. \| grand prix \| date \| location \| pole position \| fastest lap \| winning driver \| constructor \| report row 1 : 1 \| brazilian grand prix \| 26 march \| jacarepagua \| ayrton senna \| riccardo patrese \| nigel mansell \| ferrari \| report row 2 : 2 \| san marino grand prix \| 23 april \| imola \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 3 : 3 \| monaco grand prix \| 7 may \| monaco \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 4 : 4 \| mexican grand prix \| 28 may \| hermanos rodriguez \| ayrton senna \| nigel mansell \| ayrton senna \| mclaren-honda \| report row 5 : 5 \| united states grand prix \| 4 june \| phoenix \| ayrton senna \| ayrton senna \| alain prost \| mclaren-honda \| report row 6 : 6 \| canadian grand prix \| 18 june \| circuit gilles villeneuve \| alain prost \| jonathan palmer \| thierry boutsen \| williams-renault \| report row 7 : 7 \| french grand prix \| 9 july \| paul ricard \| alain prost \| mauricio gugelmin \| alain prost \| mclaren-honda \| report row 8 : 8 \| british grand prix \| 16 july \| silverstone \| ayrton senna \| nigel mansell \| alain prost \| mclaren-honda \| report row 9 : 9 \| german grand prix \| 30 july \| hockenheimring \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 10 : 10 \| hungarian grand prix \| 13 august \| hungaroring \| riccardo patrese \| nigel mansell \| nigel mansell \| ferrari \| report row 11 : 11 \| belgian grand prix \| 27 august \| spa-francorchamps \| ayrton senna \| alain prost \| ayrton senna \| mclaren-honda \| report row 12 : 12 \| italian grand prix \| 10 september \| monza \| ayrton senna \| alain prost \| alain prost \| mclaren-honda \| report row 13 : 13 \| portuguese grand prix \| 24 september \| estoril \| ayrton senna \| gerhard berger \| gerhard berger \| ferrari \| report row 14 : 14 \| spanish grand prix \| 1 october \| jerez \| ayrton senna \| ayrton senna \| ayrton senna \| mclaren-honda \| report row 15 : 15 \| japanese grand prix \| 22 october \| suzuka \| ayrton senna \| alain prost \| alessandro nannini \| benetton-ford \| report row 16 : 16 \| australian grand prix \| 5 november \| adelaide \| ayrton senna \| satoru nakajima \| thierry boutsen \| williams-renault \| report ] Execute this SQL based on the above table: select count ( winning driver )	16
[ 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 min ( year )	1994
[ 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 date order by # desc limit 1	26 january 2013
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select location order by first year in qld cup desc limit 1	brisbane
[ header: season \| driver \| equipment \| position \| points \| races \| wins \| second \| third row 1 : 2001 \| modris stelle \| zabel-ayr \| 27 \| 14 \| 10 \| None \| None \| None row 2 : 2002 \| modris stelle \| zabel-ayr \| 23 \| 69 \| 12 \| None \| None \| None row 3 : 2003 \| daniel willemsen \| zabel-vmc \| 1 \| 561 \| 24 \| 13 \| 9 \| None row 4 : 2004 \| daniel willemsen \| zabel-vmc \| 1 \| 572 \| 26 \| 18 \| 4 \| 1 row 5 : 2005 \| kristers sergis \| mth-bsu \| 2 \| 440 \| 22 \| 7 \| 12 \| None row 6 : 2006 \| kristers sergis \| ktm-mefo \| 19 \| 64 \| 4 \| None \| 2 \| 1 row 7 : 2007 \| kristers sergis \| ktm-mefo \| 3 \| 242 \| 16 \| 1 \| 8 \| 1 row 8 : 2008 \| kristers sergis \| ktm-ayr \| 2 \| 434 \| 24 \| 4 \| 12 \| 2 row 9 : 2009 \| nicky pulinx \| zabel-vmc \| 12 \| 229 \| 25 \| None \| None \| None row 10 : 2010 \| maris rupeiks \| ktm-wsp \| 5 \| 423 \| 28 \| 1 \| 4 \| 2 row 11 : 2011 \| maris rupeiks \| zabel-wsp \| 4 \| 316 \| 22 \| 1 \| 4 \| None row 12 : 2012 \| etienne bax \| zabel-wsp \| 2 \| 447 \| 22 \| 9 \| 8 \| 1 row 13 : 2013 \| etienne bax \| zabel-vmc \| 2 \| 513 \| 25 \| 14 \| 6 \| None row 14 : None \| overall 2001 - 2013 \| None \| None \| 4224 \| 250 \| 68 \| 69 \| 8 ] Execute this SQL based on the above table: select count ( wins ) where driver != 'overall 2001 - 2013'	9
[ header: selected latin american countries \| internl. tourism arrivals 2010 (x 1000) \| internl. tourism receipts. 2010 (usd (x1000) \| average receipt per visitor 2009 (usd/turista) \| tourist arrivals per 1000 inhab (estimated) 2007 \| receipts per capita 2005 usd \| revenues as % exports of goods and services 2003 \| tourism income % gdp 2003 \| % direct and indirect employment in tourism 2005 \| world ranking tourism competitiv. ttci 2011 \| 2011 ttci index row 1 : argentina \| 5288 \| 4930 \| 932 \| 115 \| 57 \| 7.4 \| 1.8 \| 9.1 \| 60 \| 4.2 row 2 : brazil \| 5161 \| 5919 \| 1147 \| 26 \| 18 \| 3.2 \| 0.5 \| 7 \| 52 \| 4.36 row 3 : chile \| 2766 \| 1636 \| 591 \| 151 \| 73 \| 5.3 \| 1.9 \| 6.8 \| 57 \| 4.27 row 4 : costa rica \| 2100 \| 2111 \| 1005 \| 442 \| 343 \| 17.5 \| 8.1 \| 13.3 \| 44 \| 4.43 row 5 : cuba \| 2507 \| None \| None \| 188 \| 169 \| None \| None \| None \| None \| None row 6 : dominican republic \| 4125 \| 4240 \| 1028 \| 408 \| 353 \| 36.2 \| 18.8 \| 19.8 \| 72 \| 3.99 row 7 : mexico \| 22395 \| 11872 \| 530 \| 201 \| 103 \| 5.7 \| 1.6 \| 14.2 \| 43 \| 4.43 row 8 : panama \| 1317 \| 1676 \| 1273 \| 330 \| 211 \| 10.6 \| 6.3 \| 12.9 \| 56 \| 4.3 row 9 : peru \| 2299 \| 2274 \| 989 \| 65 \| 41 \| 9 \| 1.6 \| 7.6 \| 69 \| 4.04 row 10 : uruguay \| 2352 \| 1496 \| 636 \| 525 \| 145 \| 14.2 \| 3.6 \| 10.7 \| 58 \| 4.24 ] Execute this SQL based on the above table: select selected latin american countries where id = ( select id where world ranking tourism competitiv. ttci 2011 = 60 and selected latin american countries = 'argentina' ) + 1	brazil
[ header: release \| artist \| title \| notes \| album row 1 : 2004 \| hiroshi itsuki feat. \| deigo to hanasu ( \| None \| onna no ehon row 2 : 2005 \| chikuzen sato with \| boku no mune de oya \| features on "rimits: best duet songs \| the selection of cornerstones 1995-2004 row 3 : 2005 \| rimi natsukawa \| 'aa koshien' \| None \| ningen manyoka: y row 4 : 2005 \| kaoru kurosawa duet \| manten no hoshi no yoru \| features on "rimits: best duet songs \| love anthem row 5 : 2006 \| andrea bocelli duet with rim \| somos novios (ai no \| features on "umui kaji" \| amore (japanese edition row 6 : 2008 \| taiyo yamazawa \| utabito (歌人 singer?) \| None \| music tree row 7 : 2009 \| chage with rimi natsu \| boku wa do kana (僕はとうかな what \| None \| many happy returns row 8 : 2009 \| rimi natsukawa \| tada sore dake ( \| None \| katsuhisa hattori ] Execute this SQL based on the above table: select album where id = 7	many happy returns
[ header: # \| date \| film \| gross \| notes row 1 : 2 \| january 13, 2002 \| the lord of the rings: the fellowship \| $16,201,260 \| None row 2 : 3 \| january 20, 2002 \| black hawk down \| $28,611,736 \| black hawk down broke save the last dance' row 3 : 5 \| february 3, 2002 \| black hawk down \| $11,112,555 \| None row 4 : 8 \| february 24, 2002 \| queen of the damned \| $14,757,535 \| None row 5 : 11 \| march 17, 2002 \| ice age \| $46,312,454 \| ice age broke liar l row 6 : 13 \| march 31, 2002 \| panic room \| $30,056,751 \| None row 7 : 14 \| april 7, 2002 \| panic room \| $18,244,157 \| None row 8 : 15 \| april 14, 2002 \| changing lanes \| $17,128,062 \| None row 9 : 24 \| june 16, 2002 \| scooby-doo \| $54,155,312 \| None row 10 : 26 \| june 30, 2002 \| mr. deeds \| $37,162,787 \| None row 11 : 28 \| july 14, 2002 \| men in black ii \| $24,410,311 \| None row 12 : 29 \| july 21, 2002 \| road to perdition \| $15,412,515 \| road to perdition reached #1 in its second weekend row 13 : 32 \| august 11, 2002 \| xxx \| $44,506,103 \| None row 14 : 33 \| august 18, 2002 \| xxx \| $22,111,421 \| None row 15 : 35 \| september 1, 2002 \| signs \| $13,441,194 \| None row 16 : 37 \| september 15, 2002 \| barbershop \| $20,627,433 \| None row 17 : 39 \| september 29, 2002 \| sweet home alabama \| $35,648,740 \| sweet home alabama broke rush hour row 18 : 43 \| october 27, 2002 \| jackass: the movie \| $22,763,437 \| None row 19 : 45 \| november 10, 2002 \| 8 mile \| $51,240,555 \| None row 20 : 47 \| november 24, 2002 \| die another day \| $47,072,040 \| None row 21 : 48 \| december 1, 2002 \| harry potter and the chamber of secrets \| $32,117,496 \| harry potter and the chamber of secrets ] Execute this SQL based on the above table: select count ( * ) where film = 'jackass: the movie'	1
[ header: place \| position \| number \| name \| league two \| fa cup \| league cup \| fl trophy \| total row 1 : 1 \| mf \| 4 \| ryan hall \| 10 \| 1 \| 0 \| 3 \| 14 row 2 : 2 \| df \| 6 \| bilel mohsni \| 13 \| 0 \| 0 \| 0 \| 13 row 3 : 3 \| fw \| 22 \| liam dickinson \| 10 \| 1 \| 0 \| 1 \| 12 row 4 : 4 \| fw \| 9 \| neil harris \| 9 \| 0 \| 0 \| 1 \| 10 row 5 : 5 \| df \| 15 \| mark phillips \| 7 \| 0 \| 1 \| 0 \| 8 row 6 : 6 \| mf \| 12 \| kane ferdinand \| 7 \| 0 \| 0 \| 0 \| 7 row 7 : 7 \| mf \| 8 \| michael timlin \| 4 \| 0 \| 0 \| 0 \| 4 row 8 : 8 \| mf \| 14 \| dave martin \| 3 \| 0 \| 0 \| 0 \| 3 row 9 : 8 \| df \| 3 \| peter gilbert \| 3 \| 0 \| 0 \| 0 \| 3 row 10 : 10 \| fw \| 24 \| elliot benyon \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 10 \| fw \| 37 \| freddy eastwood \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| mf \| 18 \| ryan leonard \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 12 \| fw \| 21 \| blair sturrock \| 0 \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| mf \| 19 \| jean-paul kalala \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 12 \| df \| 16 \| luke prosser \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 12 \| mf \| 7 \| anthony grant \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 12 \| df \| 23 \| chris barker \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : None \| None \| None \| own goals \| 4 \| 0 \| 0 \| 0 \| 4 row 19 : None \| None \| None \| totals \| 79 \| 2 \| 1 \| 6 \| 88 ] Execute this SQL based on the above table: select name order by fa cup desc limit 1	totals
[ header: rank \| athlete \| qual \| final \| total \| notes row 1 : None \| silvia sperber (frg \| 590 \| 95.6 \| 685.6 \| or row 2 : None \| vesela letcheva (bul) \| 583 \| 100.2 \| 683.2 \| None row 3 : None \| valentina cherkasova ( \| 586 \| 95.4 \| 681.4 \| None row 4 : 4 \| katja klepp (gdr \| 584 \| 96.5 \| 680.5 \| None row 5 : 5 \| sharon bowes (can) \| 584 \| 96.5 \| 680.5 \| None row 6 : 6 \| anna maloukhina (urs) \| 585 \| 93.4 \| 678.4 \| None row 7 : 7 \| launi meili (usa) \| 582 \| 94.5 \| 676.5 \| None row 8 : 8 \| anita karlsson (s \| 583 \| 93.4 \| 676.4 \| None ] Execute this SQL based on the above table: select count ( notes )	1
[ header: name \| date \| condition \| ownership / access \| notes row 1 : chateau d'angers \| 13th century \| substantially intact \| city of angers \| walls nearly 2,000 feet (610 m) row 2 : chateau de bauge \| 15th century \| intact \| None \| built as hunting lodge row 3 : chateau de bourmont \| 16-19th century \| intact and extended \| private \| extended in neo-gothic row 4 : chateau de brissac \| 15-17th century \| rebuilt \| private \| damaged during french wars of religion, rebuilt 16 row 5 : chateau de champtoce \| 13-16th century \| ruins \| None \| None row 6 : chateau de montreuil-bellay \| 11-13th century \| substantially intact \| private \| divided into rental units in 1822, restored after row 7 : chateau de montsoreau \| 1455 \| restored \| departement \| ruinous by late 19th century, restored, row 8 : chateau du plessis-bour \| 1468-1472 \| intact \| private (open to the public) \| externally unchanged since the 15th century, working row 9 : chateau du plessis-mace \| 13-16th century \| intact \| None \| converted to house 15th century row 10 : chateau de pouance \| 12-13th century \| ruins \| None \| considered second fortress of anjou, after anger row 11 : chateau de saumur \| 12th century \| restored \| city of saumur \| page for september in the tres riches row 12 : chateau de la turmeliere \| 13th century \| ruins \| None \| 19th century building of same name nearby ] Execute this SQL based on the above table: select notes where condition = 'restored'	ruinous by late 19th century, restored, houses the musee des goums marocains, page for september in the tres riches heures du duc de berry depicts the chateau as it looked in 1410
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select title where id = 5	"i want you to know"
[ header: title \| genre \| subdivisions \| libretto \| premiere date \| place, theatre \| notes row 1 : primislao, primo re di \| dramma per musica \| 3 acts \| giulio cesare corradi \| 1697, autumn \| venice, teatro s \| music lost row 2 : aminta \| dramma regio pastorale \| 3 acts \| apostolo zeno \| 1703, autumn \| florence, cocomero \| music lost row 3 : il piu fedel tra \| dramma per musica \| 3 acts \| francesco silvani \| 1705, autumn \| genoa, falcone \| music lost row 4 : la prosperita di elio \| dramma per musica \| 3 acts \| nicolo minato \| 1707, carnival \| genoa, falcone \| music lost row 5 : la fortezza al cimento \| melodramma \| 2 acts \| francesco silvani \| 1707 \| piacenza, ducale \| music lost row 6 : engelberta \| dramma per musica \| 3 acts \| apostolo zeno and pi \| 1709, carnival \| venice, teatro s \| 4th and 5th acts by francesco row 7 : ciro \| dramma per musica \| 3 acts \| pietro pariati \| 1710, carnival \| venice, teatro s \| music lost row 8 : il tiranno eroe \| dramma per musica \| 3 acts \| vincenzo cassani \| 1711, carnival \| venice, teatro s \| None row 9 : le gare generose \| dramma per musica \| 3 acts \| antonio zaniboni \| 1712, autumn \| venice, teatro s \| music lost, except five arias row 10 : eumene \| dramma per musica \| 3 acts \| antonio salvi \| 1717, autumn \| venice, teatro s \| music lost, except one aria row 11 : meleagro \| dramma per musica \| 3 acts \| pietro antonio bern \| 1718, carnival \| venice, teatro s \| music lost row 12 : scipione nelle spagne \| dramma per musica \| 3 acts \| apostolo zeno \| 1724, ascension \| venice, teatro s \| music lost row 13 : didone abbandonata \| tragedia \| 3 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 14 : l'impresario delle is \| intermezzo \| 2 acts \| metastasio \| 1725, carnival \| venice, teatro s \| music lost row 15 : ardelinda \| dramma \| 3 acts \| bartolomeo vitturi \| 1732, autumn \| venice, teatro s \| music lost, except five arias row 16 : artamene \| dramma per musica \| 3 acts \| bartolomeo vitturi \| 1741, carnival \| venice, teatro s \| music lost ] Execute this SQL based on the above table: select premiere date order by subdivisions desc limit 1	1697, autumn
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select goal order by goal desc limit 1	15
[ header: name \| age \| hometown \| occupation \| culinary p.o.v. \| eliminated row 1 : damaris phillips \| 31 \| louisville, ky \| culinary teacher \| "modern southern food" \| winner row 2 : rodney henry \| 47 \| baltimore, md \| pie shop owner \| "pie style" \| second place row 3 : russell jackson \| 49 \| san francisco, ca \| underground chef \| "seven culinary sins" \| third place row 4 : stacey poon-kinney \| 34 \| san diego, ca \| restaurant owner \| "vintage with a modern twist" \| week 10 row 5 : nikki dinki \| 29 \| new york, ny \| food blogger/online host \| "semi-vegetarian" \| week 9 row 6 : chad rosenthal \| 37 \| ambler, pa \| restaurant owner \| "jewish bbq guy" \| week 7 row 7 : chris hodgson \| 26 \| cleveland, oh \| chef/restaurateur \| "compassion for food" \| week 6 row 8 : viet pham \| 33 \| salt lake city, ut \| chef/restaurant owner \| "the american dream" \| week 5 row 9 : connie "lovely" jackson \| 27 \| los angeles, ca \| caterer \| "party on a plate" \| week 4 & week 8(winner of row 10 : danushka lysek \| 37 \| new york, ny \| private chef/model \| "your private chef" \| week 3 row 11 : andres guillama \| 26 \| waynesville, nc \| childhood obesity prevention coach \| "teaching men to cook" \| week 2 row 12 : daniela perez-reyes \| 28 \| haleiwa, hi \| bartender/caterer \| "peruvian princess" \| week 1 ] Execute this SQL based on the above table: select name where culinary p.o.v. = '"jewish bbq guy"'	chad rosenthal
[ header: team \| constructor \| motorcycle \| tyres \| no \| rider \| rounds row 1 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 5 \| colin edwards \| all row 2 : camel yamaha team \| yamaha \| yamaha yzr-m1 \| m \| 46 \| valentino rossi \| all row 3 : konica minolta honda \| honda \| honda rc211v \| m \| 6 \| makoto tamada \| all row 4 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 7 \| carlos checa \| all row 5 : tech 3 yamaha \| yamaha \| yamaha yzr-m1 \| d \| 77 \| james ellison \| all row 6 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 15 \| sete gibernau \| 1-7, 10-11, 13-16 row 7 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 65 \| loris capirossi \| all row 8 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 66 \| alex hofmann \| 8-9, 12 row 9 : ducati marlboro team \| ducati \| ducati desmosedici gp \| b \| 12 \| troy bayliss \| 17 row 10 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 17 \| randy de puniet \| all row 11 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 56 \| shinya nakano \| all row 12 : kawasaki racing team \| kawasaki \| kawasaki ninja z \| b \| 8 \| naoki matsudo \| 15 row 13 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 21 \| john hopkins \| all row 14 : rizla suzuki motogp \| suzuki \| suzuki gsv-r \| b \| 71 \| chris vermeulen \| all row 15 : repsol honda team \| honda \| honda rc211v \| m \| 26 \| dani pedrosa \| all row 16 : repsol honda team \| honda \| honda rc211v \| m \| 69 \| nicky hayden \| all row 17 : honda lcr \| honda \| honda rc211v \| m \| 27 \| casey stoner \| all row 18 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 30 \| jose luis cardoso \| all row 19 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 66 \| alex hofmann \| 1-7, 10-11, 13-17 row 20 : pramac d'antin moto \| ducati \| ducati desmosedici gp \| d \| 22 \| ivan silva \| 8-9, 12 row 21 : fortuna honda \| honda \| honda rc211v \| m \| 24 \| toni elias \| 1-8, 10-17 row 22 : fortuna honda \| honda \| honda rc211v \| m \| 33 \| marco melandri \| all row 23 : fortuna honda \| honda \| honda rc211v \| m \| 84 \| michel fabrizio \| 9 ] Execute this SQL based on the above table: select motorcycle order by id desc limit 1	honda rc211v
[ header: no. \| constituency \| created \| seats \| change row 1 : 1 \| carlow-kilkenny \| 1948 \| 5 \| None row 2 : 2 \| cavan-monaghan \| 1977 \| 5 \| None row 3 : 3 \| clare \| 1921 \| 4 \| None row 4 : 4 \| cork east \| 1981 \| 4 \| None row 5 : 5 \| cork north-central \| 1981 \| 4 \| -1 row 6 : 6 \| cork north-west \| 1981 \| 3 \| None row 7 : 7 \| cork south-central \| 1981 \| 5 \| None row 8 : 8 \| cork south-west \| 1961 \| 3 \| None row 9 : 9 \| donegal north-east \| 1981 \| 3 \| None row 10 : 10 \| donegal south-west \| 1981 \| 3 \| None row 11 : 11 \| dublin central \| 1981 \| 4 \| None row 12 : 12 \| dublin mid-west \| 2002 \| 4 \| -1 row 13 : 13 \| dublin north \| 1981 \| 4 \| None row 14 : 14 \| dublin north-central \| 1948 \| 3 \| 1 row 15 : 15 \| dublin north-east \| 1981 \| 3 \| None row 16 : 16 \| dublin north-west \| 1981 \| 3 \| None row 17 : 17 \| dublin south \| 1981 \| 5 \| None row 18 : 18 \| dublin south-central \| 1948 \| 5 \| None row 19 : 19 \| dublin south-east \| 1948 \| 4 \| None row 20 : 20 \| dublin south-west \| 1981 \| 4 \| None row 21 : 21 \| dublin west \| 1981 \| 3 \| None row 22 : 22 \| dun laoghaire \| 1977 \| 5 \| None row 23 : 23 \| galway east \| 1977 \| 4 \| None row 24 : 24 \| galway west \| 1937 \| 5 \| None row 25 : 25 \| kerry north \| 1969 \| 3 \| None row 26 : 26 \| kerry south \| 1937 \| 3 \| None row 27 : 27 \| kildare north \| 1997 \| 4 \| 1 row 28 : 28 \| kildare south \| 1997 \| 3 \| None row 29 : 29 \| laois-offaly \| 2007 \| 5 \| 5 row 30 : 30 \| limerick east \| 1948 \| 5 \| None row 31 : 31 \| limerick west \| 1948 \| 3 \| None row 32 : 32 \| longford-westmeath \| 2007 \| 4 \| 4 row 33 : 33 \| louth \| 1923 \| 4 \| None row 34 : 34 \| mayo \| 1997 \| 5 \| None row 35 : 35 \| meath east \| 2007 \| 3 \| 3 row 36 : 36 \| meath west \| 2007 \| 3 \| 3 row 37 : 37 \| roscommon-south leit \| 2007 \| 3 \| 3 row 38 : 38 \| sligo-north leit \| 2007 \| 3 \| 3 row 39 : 39 \| tipperary north \| 1948 \| 3 \| None row 40 : 40 \| tipperary south \| 1948 \| 3 \| None row 41 : 41 \| waterford \| 1923 \| 4 \| None row 42 : 42 \| wexford \| 1921 \| 5 \| None row 43 : 43 \| wicklow \| 1923 \| 5 \| None ] Execute this SQL based on the above table: select constituency order by change limit 1	carlow-kilkenny
[ header: team \| year \| regular season won \| regular season lost \| regular season ties \| regular season win % \| regular season finish \| post season won \| post season lost \| post season win % \| post season result row 1 : den \| 1981 \| 10 \| 6 \| 0 \| 0.625 \| 2nd in afc west \| None \| None \| None \| None row 2 : den \| 1982 \| 2 \| 7 \| 0 \| 0.222 \| 5th in afc west \| None \| None \| None \| None row 3 : den \| 1983 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in afc west \| 0 \| 1 \| 0 \| lost to seattle seahawks in a row 4 : den \| 1984 \| 13 \| 3 \| 0 \| 0.813 \| 1st in afc west \| 0 \| 1 \| 0 \| lost to pittsburgh steelers in row 5 : den \| 1985 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in afc west \| None \| None \| None \| None row 6 : den \| 1986 \| 11 \| 5 \| 0 \| 0.688 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to new york giants in super bowl row 7 : den \| 1987 \| 10 \| 4 \| 1 \| 0.714 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to washington redskins in super bowl row 8 : den \| 1988 \| 8 \| 8 \| 0 \| 0.5 \| 2nd in afc west \| None \| None \| None \| None row 9 : den \| 1990 \| 5 \| 11 \| 0 \| 0.313 \| 5th in afc west \| None \| None \| None \| None row 10 : den total \| den total \| 110 \| 73 \| 1 \| 0.601 \| None \| 7 \| 6 \| 0.538 \| None row 11 : nyg \| 1993 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in nfc east \| 1 \| 1 \| 0.5 \| lost to san francisco 49ers row 12 : nyg \| 1994 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in nfc east \| None \| None \| None \| None row 13 : nyg \| 1995 \| 5 \| 11 \| 0 \| 0.313 \| 4th in nfc east \| None \| None \| None \| None row 14 : nyg \| 1996 \| 6 \| 10 \| 0 \| 0.375 \| 5th in nfc east \| None \| None \| None \| None row 15 : nyg total \| nyg total \| 31 \| 33 \| 0 \| 0.484 \| None \| 1 \| 1 \| 0.5 \| None row 16 : atl \| 1997 \| 7 \| 9 \| 0 \| 0.438 \| 2nd in nfc west \| None \| None \| None \| None row 17 : atl \| 2000 \| 4 \| 12 \| 0 \| 0.25 \| 5th in nfc west \| None \| None \| None \| None row 18 : atl \| 2001 \| 7 \| 9 \| 0 \| 0.438 \| 3rd in nfc south \| None \| None \| None \| None row 19 : atl \| 2002 \| 9 \| 6 \| 1 \| 0.594 \| 2nd in nfc south \| 1 \| 1 \| 0.5 \| lost to philadelphia ea row 20 : atl \| 2003 \| 3 \| 10 \| 0 \| 0.231 \| 4th in nfc south \| None \| None \| None \| None row 21 : atl total \| atl total \| 49 \| 59 \| 1 \| 0.454 \| None \| 3 \| 2 \| 0.6 \| None row 22 : total \| total \| 190 \| 165 \| 2 \| 0.535 \| None \| 11 \| 9 \| 0.55 \| None ] Execute this SQL based on the above table: select count ( team )	22
[ header: tournament \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 \| sr \| w-l row 1 : australian open \| a \| a \| 1r \| a \| 2r \| 3r \| 2r \| 3r \| w \| 2r \| 1r \| 2r \| 1r \| 1 / 10 \| 13-9 row 2 : french open \| a \| a \| a \| a \| 3r \| a \| 2r \| 3r \| 3r \| 1r \| sf \| 1r \| 2r \| 0 / 8 \| 12-8 row 3 : wimbledon \| a \| 2r \| a \| sf \| 1r \| 3r \| 3r \| 2r \| qf \| 3r \| 3r \| 1r \| 2r \| 0 / 11 \| 17-11 row 4 : us open \| a \| 1r \| a \| 1r \| 1r \| qf \| 3r \| 3r \| 2r \| sf \| 1r \| 2r \| 2r \| 0 / 11 \| 14-11 row 5 : win-loss \| 0-0 \| 1-2 \| 0-1 \| 4-2 \| 3-4 \| 5-3 \| 6-4 \| 7-4 \| 12-3 \| 7-4 \| 6-4 \| 2-4 \| 3-4 \| 1 / 40 \| 56-39 row 6 : indian wells \| a \| a \| a \| a \| 2r \| 2r \| 1r \| f \| w \| f \| qf \| 2r \| None \| 1 / 8 \| 17-7 row 7 : miami \| a \| a \| a \| a \| 2r \| qf \| sf \| 1r \| 1r \| w \| 1r \| qf \| None \| 1 / 8 \| 13-7 row 8 : monte carlo \| a \| a \| a \| a \| 2r \| a \| 2r \| 2r \| qf \| qf \| 1r \| 1r \| None \| 0 / 7 \| 2-7 row 9 : rome \| a \| a \| a \| a \| 1r \| 1r \| f \| 2r \| 2r \| qf \| 1r \| a \| None \| 0 / 7 \| 4-7 row 10 : madrid (stuttgart \| a \| a \| a \| a \| 1r \| 1r \| qf \| 1r \| 1r \| 2r \| qf \| 1r \| None \| 0 / 8 \| 3-8 row 11 : canada \| a \| a \| a \| a \| qf \| f \| 2r \| sf \| 2r \| f \| 2r \| a \| None \| 0 / 7 \| 10-7 row 12 : cincinnati \| a \| a \| a \| a \| qf \| 1r \| sf \| w \| f \| 2r \| qf \| a \| None \| 1 / 7 \| 13-6 row 13 : shanghai \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| not held \| 2r \| 1r \| a \| None \| 0 / 2 \| 1-2 row 14 : paris \| a \| a \| a \| a \| a \| qf \| 1r \| 1r \| qf \| 2r \| f \| 1r \| None \| 0 / 7 \| 6-7 row 15 : hamburg \| a \| a \| a \| a \| 1r \| 1r \| qf \| sf \| 2r \| nm1 \| nm1 \| nm1 \| nm1 \| 0 / 5 \| 3-5 row 16 : win-loss \| 0-0 \| 0-0 \| 0-0 \| 0-0 \| 6-8 \| 8-8 \| 10-9 \| 12-8 \| 10-8 \| 15-8 \| 8-9 \| 3-5 \| None \| 3 / 66 \| 66-63 ] Execute this SQL based on the above table: select count ( 2001 ) where 2000 = '0-0'	2
[ header: date \| venue \| opponent \| result \| tournament \| scored row 1 : 10 february 2008 \| craven park \| st. helens \| 24-22 \| super league xiii \| 1 row 2 : 24 march 2008 \| jjb stadium \| wigan warriors \| 18-12 \| super league xiii \| 1 row 3 : 13 april 2008 \| craven park \| bradford bulls \| 20-18 \| super league xiii \| 1 row 4 : 21 june 2008 \| craven park \| wakefield trinity wildcats \| 18-26 \| super league xiii \| 1 row 5 : 8 march 2009 \| craven park \| wakefield trinity wildcats \| 31-18 \| super league xiv \| 1 row 6 : 15 march 2009 \| craven park \| crusaders \| 48-18 \| super league xiv \| 3 row 7 : 3 may 2009 \| murrayfield stadium \| warrington wolves \| 28-36 \| super league xiv \| 1 row 8 : 20 june 2009 \| brewery field \| crusaders \| 18-32 \| super league xiv \| 2 row 9 : 21 august 2009 \| the willows \| salford city reds \| 10-14 \| super league xiv \| 1 row 10 : 5 september 2009 \| craven park \| warrington wolves \| 40-16 \| super league xiv \| 3 row 11 : 12 september 2009 \| belle vue \| wakefield trinity wildcats \| 24-10 \| super league xiv \| 1 row 12 : 7 february 2010 \| craven park \| salford city reds \| 30-12 \| super league xv \| 1 row 13 : 16 may 2010 \| craven park \| crusaders \| 54-10 \| super league xv \| 2 row 14 : 21 may 2010 \| knowsley road \| st. helens \| 68-12 \| super league xv \| 1 row 15 : 20 june 2010 \| craven park \| harlequins rl \| 42-6 \| super league xv \| 2 row 16 : 25 june 2010 \| galpharm stadium \| huddersfield giants \| 16-16 \| super league xv \| 1 row 17 : 4 july 2010 \| belle vue \| wakefield trinity wildcats \| 14-46 \| super league xv \| 1 row 18 : 15 july 2010 \| kc stadium \| hull \| 20-16 \| super league xv \| 1 row 19 : 24 july 2010 \| craven park \| bradford bulls \| 49-24 \| super league xv \| 2 row 20 : 15 august 2010 \| the willows \| salford city reds \| 18-44 \| super league xv \| 2 row 21 : 13 february 2011 \| millennium stadium \| hull \| 22-34 \| super league xv \| 1 row 22 : 20 february 2011 \| halliwell jones stadium \| warrington wolves \| 24-22 \| super league \| 2 row 23 : 7 march 2011 \| the jungle \| castleford tigers \| 27-14 \| super league \| 1 row 24 : 25 june 2011 \| twickenham stoop \| harlequins rl \| 0-34 \| super league \| 1 ] Execute this SQL based on the above table: select tournament , venue where scored = 1 order by id asc limit 2	super league xiii, craven park, super league xiii, jjb stadium
[ 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 date where date != '28 dec 2010' and season = ( select season where date = '28 dec 2010' )	23 oct 2010, 27 nov 2010
[ header: pos. \| athlete \| run 1 \| run 2 \| total row 1 : 1 \| aronne pieruz \| 50.39 \| 58.25 \| 1:48.64 row 2 : 2 \| filip trejbal \| 50.68 \| 58.84 \| 1:49.52 row 3 : 3 \| adam cole \| 51.4 \| 58.51 \| 1:49.91 row 4 : 4 \| tague thorson \| 51.2 \| 59.13 \| 1:50.33 row 5 : 5 \| jan urfer \| 51.54 \| 59.1 \| 1:50.64 row 6 : 6 \| charles christianson \| 51.75 \| 58.91 \| 1:50.66 row 7 : 7 \| francesco ghedina \| 51.37 \| 59.39 \| 1:50.94 row 8 : 8 \| luca moretti \| 52.05 \| 58.89 \| 1:51.17 row 9 : 9 \| cameron barnes \| 51.66 \| 59.51 \| 1:51.37 row 10 : 10 \| martin vrablik \| 52.77 \| 58.6 \| 1:51.48 ] Execute this SQL based on the above table: select athlete where athlete = 'jan urfer'	jan urfer
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1972 \| stockholm, sweden \| hard (i) \| roy emerson \| tom okker marty ries \| 5-7, 6-7 row 2 : runner-up \| 2 \| 1973 \| miami wct, us \| hard \| terry addison \| roy emerson rod laver \| 4-6, 4-6 row 3 : runner-up \| 3 \| 1973 \| richmond wct, us \| carpet \| terry addison \| roy emerson rod laver \| 6-3, 3-6, 4-6 row 4 : runner-up \| 4 \| 1973 \| st. louis, us \| carpet \| terry addison \| ove nils bengtson \| 2-6, 5-7 row 5 : runner-up \| 5 \| 1973 \| columbus, us \| hard \| charles pasarell \| gerald battrick graham \| 4-6, 6-7 row 6 : winner \| 1 \| 1973 \| merion, us \| grass \| allan stone \| john austin fred m \| 7-6, 6-3 row 7 : winner \| 2 \| 1973 \| hong kong \| hard \| rod laver \| paul gerken brian gott \| 6-3, 5-7, 17-15 row 8 : winner \| 3 \| 1974 \| houston, us \| clay \| rod laver \| arthur ashe roscoe t \| 4-6, 7-6, 6-4 row 9 : runner-up \| 7 \| 1975 \| orlando wct, us \| hard \| ray ruffels \| brian gottfried raul \| 4-6, 4-6 row 10 : winner \| 6 \| 1976 \| palm springs, us \| hard \| sandy mayer \| raymond moore erik van \| 6-4, 6-7, 7-6 row 11 : winner \| 7 \| 1976 \| palma, spain \| clay \| john andrews \| mark edmondson john marks \| 2-6, 6-3, 6-2 row 12 : runner-up \| 8 \| 1976 \| madrid, spain \| clay \| john andrews \| carlos kirmayr eduard \| 6-7, 6-4, 6-8 row 13 : winner \| 9 \| 1977 \| little rock, us \| carpet \| haroon rahim \| bob hewitt frew \| 6-7, 6-3, 6-3 row 14 : winner \| 10 \| 1977 \| denver, us \| carpet \| geoff masters \| syd ball kim warwick \| 6-2, 6-3 row 15 : winner \| 11 \| 1977 \| south orange, us \| hard \| wojtek fibak \| ion tiriac guiller \| 6-1, 7-5 row 16 : runner-up \| 10 \| 1978 \| johannesburg, south africa \| hard \| geoff masters \| bob hewitt frew \| 5-7, 6-7 row 17 : runner-up \| 11 \| 1978 \| newport, us \| grass \| bob giltinan \| tim gullikson tom gul \| 4-6, 4-6 row 18 : winner \| 13 \| 1978 \| columbus, us \| clay \| bob giltinan \| marcello lara elio \| 6-2, 6-3 row 19 : runner-up \| 13 \| 1979 \| tulsa, us \| hard (i) \| tom gullikson \| francisco gonzalez e \| 7-6, 5-7, 3-6 row 20 : runner-up \| 14 \| 1979 \| stowe, us \| hard \| anand amritraj \| mike cahill steve k \| 6-3, 3-6, 4-6 ] Execute this SQL based on the above table: select opponents in the final order by no. asc limit 10	tom okker marty riessen, john austin fred mcnair, roy emerson rod laver, paul gerken brian gottfried, roy emerson rod laver, arthur ashe roscoe tanner, ove nils bengtson jim mcmanus, gerald battrick graham stilwell, raymond moore erik van dillen, brian gottfried raul ramirez
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select date order by attendance desc limit 1	october 8, 1995
[ header: class \| no \| team \| drivers \| chassis \| engine \| laps row 1 : gt 1.6 \| 186 \| luigi rinaldi \| luigi rinaldi mario \| alfa romeo gta \| alfa romeo 1.6 i \| 6 row 2 : p 3.0 \| 14 \| autodelta spa \| toine hezemans masten \| alfa romeo t33/3 \| alfa romeo 3.0l \| 5 row 3 : gt 1.6 \| 188 \| etna \| checco d'angelo \| alfa romeo gta \| alfa romeo 1.6l \| 5 row 4 : gt 1.3 \| 288 \| v10 kleber \| ferdi bokmann hans \| simca 1300 \| simca 1.3l i4 \| 5 row 5 : gt 2.0 \| 128 \| None \| ignazio capuano \| porsche 911s \| porsche 2.0l flat-6 \| 4 row 6 : gt 1.6 \| 180 \| scuderia pegaso \| paolo de luca giu \| alfa romeo gta \| alfa romeo 1.6l \| 4 row 7 : s 1.6 \| 156 \| etna \| giuseppe d'amico \| alfa romeo giuli \| alfa romeo 1.6l \| 3 row 8 : gt 1.6 \| 198 \| salvatore gagliano \| salvatore gagliano alfons \| alfa romeo gta \| alfa romeo 1.6l \| 3 row 9 : p 1.0 \| 254 \| romano martini \| francesco patane "oras \| fiat-abarth 1000sp \| abarth 1.0l i4 \| 3 row 10 : gt 1.6 \| 264 \| romano martini \| romano martini alessandro \| ats 1000 sp \| ford 1.0l i4 \| 3 row 11 : p 3.0 \| 38 \| abarth-osella \| arturo merzario johan \| abarth 3000sp \| abarth 3.0l v8 \| 2 row 12 : p 1.0 \| 256 \| scuderia brescia cor \| luigi moreschi "patrizia \| ams sp \| ford 1.0l i4 \| 2 row 13 : p 1.0 \| 266 \| "gero" \| "gero" "roger" \| de sanctis \| ford 1.0l i4 \| 2 row 14 : gt 1.6 \| 276 \| scuderia pegaso \| antonio catalano marc \| lancia fulvia hf \| lancia 1.6l v4 \| 2 row 15 : s 1.3 \| 232 \| aldo bersano \| aldo bersano willi \| abarth 1300s \| abarth 1.3l i4 \| 1 row 16 : gt 1.3 \| 272 \| jolly club \| antonio trenti alber \| lancia fulvia hf \| lancia 1.6l v4 \| 1 row 17 : p 3.0 \| 20 \| porsche system \| vic elford hans her \| porsche 908/03 \| porsche 3.0l flat-8 \| 0 ] Execute this SQL based on the above table: select engine order by laps desc limit 1	alfa romeo 1.6 i4
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select population (2011) where = 'total islands'	72300.0
[ header: administrative area \| area km2 \| area sq mi \| population \| administrative centre row 1 : saint helena \| 122 \| 47 \| 5809 \| jamestown row 2 : ascension island \| 91 \| 35 \| 1532 \| georgetown row 3 : tristan da cunha \| 184 \| 71 \| 388 \| edinburgh of the seven seas row 4 : tristan da cunha \| 98 \| 38 \| 382 \| edinburgh of the seven seas row 5 : inaccessible island \| 14 \| 5 \| 0 \| denstone hut row 6 : nightingale island \| 3.2 \| 1 \| 0 \| west landing row 7 : gough island \| 68 \| 26 \| 6 \| transvaal bay row 8 : total \| 397 \| 153 \| 7729 \| jamestown ] Execute this SQL based on the above table: select administrative area where population > 0 order by population limit 1	gough island
[ header: year \| w \| l \| t \| finish \| coach row 1 : 1910 \| 11 \| 0 \| 1 \| None \| earl ball row 2 : 1911 \| 7 \| 1 \| 2 \| None \| earl ball row 3 : 1912 \| 6 \| 3 \| 2 \| None \| earl ball row 4 : 1913 \| 8 \| 2 \| 0 \| indiana state champs \| earl ball row 5 : 1914 \| 5 \| 3 \| 1 \| None \| earl ball row 6 : 1915 \| 8 \| 2 \| 1 \| None \| earl ball row 7 : 1916 \| 2 \| 7 \| 1 \| None \| f.w. smith row 8 : 1917 \| 2 \| 2 \| 0 \| None \| ky foster, ralph daw row 9 : 1918 \| None \| None \| None \| None \| None row 10 : 1919 \| 4 \| 1 \| 1 \| None \| cooney checkaye row 11 : 1920 \| 0 \| 1 \| 0 \| 14th apfa \| ken huffine row 12 : 1921 \| 0 \| 2 \| 0 \| 18th apfa \| cooney checkaye row 13 : 1922 \| 5 \| 1 \| 3 \| None \| cooney checkaye row 14 : 1923 \| 3 \| 4 \| 0 \| None \| cooney checkaye row 15 : 1924 \| 3 \| 3 \| 0 \| None \| cooney checkaye row 16 : 1925 \| 6 \| 2 \| 3 \| None \| cooney checkaye row 17 : 1926 \| 0 \| 1 \| 0 \| incomplete \| None ] Execute this SQL based on the above table: select coach order by coach desc limit 1	ky foster, ralph dawson, zach toliner
[ header: high school \| join year \| from \| left \| league left to row 1 : ainsworth \| 1954 \| None \| 1961 \| big nine conference row 2 : atherton \| 1960 \| None \| 1976 \| mid-eastern eight conference row 3 : beecher \| 1950 \| None \| 1960 \| big nine conference row 4 : bendle \| 1950 \| None \| 1975 \| mid-eastern eight conference row 5 : bentley \| 1960 \| None \| 1978 \| genesee eight row 6 : brandon \| 1977 \| None \| 1978 \| five county 5 league row 7 : clio \| 1950 \| None \| 1960 \| big nine conference row 8 : davison \| 1950 \| None \| 1960 \| big nine conference row 9 : durand \| 1964 \| None \| 1978 \| flint metro league row 10 : fenton \| 1940 \| None \| 1968 \| flint metro league row 11 : flushing \| 1950 \| None \| 1960 \| big nine conference row 12 : grand blanc \| 1950 \| None \| 1960 \| big nine conference row 13 : hartland \| 1976 \| None \| 1978 \| five county 5 row 14 : kearsley \| 1950 \| None \| 1960 \| big nine conference row 15 : lake fenton \| 1976 \| None \| 1978 \| genesee eight row 16 : lakeville \| 1956 1964 \| None \| 1962 1976 \| independent flint metro league row 17 : linden \| 1974 \| None \| 1978 \| genesee eight row 18 : mt. morris \| 1950 \| None \| 1960 \| big nine conference row 19 : swartz creek \| 1960 \| county c league \| 1968 \| flint metro league ] Execute this SQL based on the above table: select high school where high school = 'grand blanc'	grand blanc
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select sum ( position ) where height = '1.97'	0.0
[ header: name \| town \| deanery \| vicariate \| founded \| original ethnic community row 1 : st. ann \| hamden \| hamden-north haven \| new haven \| 1919 \| italian row 2 : st. anthony \| prospect \| naugatuck-cheshire \| waterbury \| 1943 \| none row 3 : ascension \| hamden \| hamden-north haven \| new haven \| 1964 \| none row 4 : st. bridget \| manchester \| manchester \| hartford \| 1870 \| none row 5 : st. catherine of sien \| west simsbury (simsbury \| farmington valley \| hartford \| 1971 \| none row 6 : st. christopher \| east hartford \| manchester \| hartford \| 1965 \| none row 7 : church of the epiphany \| cheshire \| naugatuck-cheshire \| waterbury \| 1967 \| none row 8 : st. francis xa \| new milford \| suburban waterbury \| waterbury \| 1871 \| none row 9 : st. gabriel \| windsor \| farmington valley \| hartford \| 1894 \| none row 10 : st. gertrude \| windsor \| farmington valley \| hartford \| 1947 \| none row 11 : st. hedwig \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1906 \| polish row 12 : holy infant \| orange \| west shore line \| new haven \| 1952 \| none row 13 : immaculate conception \| new hartford \| litchfield \| waterbury \| 1869 \| none row 14 : immaculate conception \| norfolk \| litchfield \| waterbury \| 1889 \| none row 15 : st. john the evangelis \| new britain \| new britain \| hartford \| 1916 \| none row 16 : st. joseph \| canaan \| litchfield \| waterbury \| 1920 \| none row 17 : st. joseph \| winsted (winchester) \| litchfield \| waterbury \| 1853 \| none row 18 : st. lawrence \| west haven \| west shore line \| new haven \| 1886 \| none row 19 : st. margaret mary \| south windsor \| manchester \| hartford \| 1961 \| none row 20 : st. mary \| newington \| suburban hartford \| hartford \| 1924 \| none row 21 : st. mary \| union city (naugatuck) \| naugatuck-cheshire \| waterbury \| 1907 \| none row 22 : st. mary \| unionville (farmington) \| farmington valley \| hartford \| 1874 \| none row 23 : st. mary \| windsor locks \| enfield \| hartford \| 1852 \| none row 24 : st. michael \| waterbury \| waterbury \| waterbury \| 1897 \| none row 25 : our lady of loreto \| waterbury \| waterbury \| waterbury \| 1971 \| portuguese row 26 : our lady of mt. carmel \| waterbury \| waterbury \| waterbury \| 1923 \| italian row 27 : our lady of the lakes \| new milford \| suburban waterbury \| waterbury \| 1990 \| none row 28 : st. patrick \| collinsville (canton) \| farmington valley \| hartford \| 1856 \| none row 29 : st. peter \| torrington \| litchfield \| waterbury \| 1910 \| italian row 30 : st. peter claver \| west hartford \| suburban hartford \| hartford \| 1966 \| none row 31 : sacred heart \| new haven \| new haven \| new haven \| 1876 \| none row 32 : st. stanislaus \| bristol \| bristol \| waterbury \| 1919 \| polish ] Execute this SQL based on the above table: select count ( town ) where deanery = 'litchfield'	5
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select count ( * ) where co-star = 'indraneil sengupta, shahidujjaman selim, jannatul ferdoush peya'	1
[ header: pos \| no \| driver \| team \| laps \| time/retired \| grid \| points row 1 : 1 \| 1 \| sebastien bourdais \| newman/haas racing \| 66 \| 1:51:31.146 \| 2 \| 34 row 2 : 2 \| 9 \| justin wilson \| rusport \| 66 \| +3.528 secs \| 1 \| 29 row 3 : 3 \| 5 \| will power \| team australia \| 66 \| +46.536 secs \| 4 \| 26 row 4 : 4 \| 2 \| bruno junqueira \| newman/haas racing \| 66 \| +1:04.023 \| 3 \| 23 row 5 : 5 \| 15 \| alex tagliani \| team australia \| 66 \| +1:18.033 \| 8 \| 22 row 6 : 6 \| 6 \| oriol servia \| pkv racing \| 66 \| +1:28.745 \| 7 \| 19 row 7 : 7 \| 4 \| nelson philippe \| cte racing - hv \| 66 \| +1:29.997 \| 10 \| 17 row 8 : 8 \| 27 \| andrew ranger \| mi-jack conquest racing \| 65 \| + 1 lap \| 16 \| 16 row 9 : 9 \| 3 \| david martinez \| forsythe racing \| 65 \| + 1 lap \| 9 \| 13 row 10 : 10 \| 7 \| buddy rice \| forsythe racing \| 65 \| + 1 lap \| 14 \| 11 row 11 : 11 \| 34 \| charles zwolsman \| mi-jack conquest racing \| 65 \| + 1 lap \| 12 \| 10 row 12 : 12 \| 18 \| antonio pizzonia \| rocketsports racing \| 65 \| + 1 lap \| 15 \| 9 row 13 : 13 \| 11 \| jan heylen \| dale coyne racing \| 65 \| + 1 lap \| 17 \| 8 row 14 : 14 \| 10 \| ryan briscoe \| rusport \| 64 \| + 2 laps \| 5 \| 7 row 15 : 15 \| 19 \| andreas wirth \| dale coyne racing \| 64 \| + 2 laps \| 18 \| 6 row 16 : 16 \| 20 \| katherine legge \| pkv racing \| 63 \| + 3 laps \| 13 \| 5 row 17 : 17 \| 8 \| mario dominguez \| rocketsports racing \| 59 \| retired \| 11 \| 4 row 18 : 18 \| 14 \| dan clarke \| cte racing - hv \| 7 \| differential \| 6 \| 3 ] Execute this SQL based on the above table: select count ( * ) where team = 'mi-jack conquest racing'	2
[ header: symbol \| gsi \| meaning \| unicode \| description row 1 : ◬ \| ○ \| base triangulation surveying point \| u+25ec \| dot in upward-pointing triangle row 2 : None \| ○ \| electronic triangulation point \| None \| dot in upward-pointing triangle with flag row 3 : ⊡ \| ○ \| benchmark \| u+22a1 \| dot in square row 4 : ⛭ \| ○ \| factory \| u+26ed \| gear without hub row 5 : ⛯ \| ○ \| lighthouse \| u+26ef \| map symbol for lighthouse row 6 : ⛮ \| ○ \| power station \| u+26ee \| gear with handles row 7 : 文 \| ○ \| elementary or junior high school \| u+6587 \| kanji bun row 8 : 文 \| ○ \| high school \| None \| kanji bun in a circle row 9 : None \| ○ \| university \| None \| kanji bun with a smaller ka row 10 : None \| ○ \| technical college \| None \| kanji bun with a smaller ka row 11 : 〒 \| ○ \| post office \| u+3036 \| down tack (t-shape row 12 : 〒 \| × \| sub post office (not distribution centre) \| u+3012 \| down tack (t-shape row 13 : ⭙ \| ○ \| police station \| u+2b59 \| heavy circled saltire row 14 : ☓ \| ○ \| koban (police box) \| u+2613 \| diagonal cross (saltire) row 15 : ⊕ \| ○ \| public health centre \| u+2295 \| greek cross in circle row 16 : ⛨ \| ○ \| hospital \| None \| greek cross in shield row 17 : ⭖ \| ○ \| prefectural office \| u+26fb \| oval bullseye row 18 : ⭗ \| ○ \| city hall \| u+2b57 \| heavy circle with circle inside row 19 : ◉ \| ○ \| ward office \| u+25c9 \| fisheye row 20 : ⭘ \| ○ \| town hall \| u+2b58 \| heavy circle row 21 : ⛩ \| ○ \| shinto shrine \| u+26e9 \| shinto shrine row 22 : 卍 \| ○ \| buddhist temple \| u+534d \| manji (swastika) row 23 : ⛫ \| ○ \| castle \| u+26eb \| castle row 24 : ⛼ \| ○ \| cemetery \| u+26fc \| headstone graveyard symbol row 25 : ♨ \| ○ \| onsen (hot springs) \| u+2668 \| oval with three vertical wavy lines row 26 : ⛬ \| ○ \| historical landmark \| u+26ec \| historic site row 27 : ⛰ \| ○ \| summit \| u+26f0 \| mountain ] Execute this SQL based on the above table: select count ( * ) where unicode = 'u+534d'	1
[ header: \| cyclist \| team \| time \| uci world tour points row 1 : 1 \| john degenkolb (ger) \| argos-shimano \| 5h 45' 16" \| 80 row 2 : 2 \| andre greipel (ger) \| lotto-belisol \| s.t \| 60 row 3 : 3 \| alexander kristoff (nor) \| team katusha \| + 1" \| 50 row 4 : 4 \| jose joaquin ro \| movistar team \| + 1" \| 40 row 5 : 5 \| elia viviani (ita) \| cannondale \| + 1" \| 30 row 6 : 6 \| boy van poppel (nld) \| vacansoleil-dcm \| + 1" \| 22 row 7 : 7 \| nikolas maes (bel \| omega pharma-quick step \| + 1" \| 14 row 8 : 8 \| thor hushovd (nor \| bmc racing team \| + 1" \| 10 row 9 : 9 \| matti breschel (dn \| team saxo-tinkoff \| + 1" \| 6 row 10 : 10 \| arnaud demare (fra \| fdj.fr \| + 1" \| 2 ] Execute this SQL based on the above table: select where time = '+ 1"'	3, 4, 5, 6, 7, 8, 9, 10
[ 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 year built where manufacturer = 'nippon sharyo, hitachi, fuji heavy industries,kawasaki heavy industries, niigata tekkousho, and kinki sharyo'	1985
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select sudetendeutsch where description = 'total unsolved cases' and description = 'total unsolved cases'	287169
[ header: mine \| province \| coordinates \| town \| dates \| comments row 1 : barton mine \| ontario \| 47°07′08.75′′n 79 \| temagami \| 1906-1918 \| secondary products included gold, silver, copper and bis row 2 : beanland mine \| ontario \| 47°05′28.71′′n \| temagami \| 1937-1938 \| also produced silver row 3 : big dan mine \| ontario \| 47°05′28.53′′n \| temagami \| 1906-1907 \| also produced silver and arsenic row 4 : copperfields mine \| ontario \| 46°57′44.41′′n 80 \| temagami \| 1954-1972 \| secondary products included cobalt, gold, nickel row 5 : dome mine \| ontario \| None \| timmins \| None \| None row 6 : golden giant mine \| ontario \| None \| hemlo \| 1985-2006 \| None row 7 : hermiston-mccauley mine \| ontario \| 47°05′54.30′′n \| temagami \| 1935-1940 \| None row 8 : kanichee mine \| ontario \| 47°06′13.07′′n \| temagami \| 1937-1948, 1948-1949, 1973-19 \| secondary products included gold, palladium, silver row 9 : leckie mine \| ontario \| 47°05′36.34′′n \| temagami \| ~1900-1909, 1933-1937 \| also produced arsenic, copper and silver row 10 : mcintyre mines \| ontario \| None \| None \| None \| None row 11 : norrie mine \| ontario \| 47°06′59.59′′n \| temagami \| prior to 1920 \| secondary products included lead, gold, zinc and silver row 12 : northland pyrite mine \| ontario \| 47°10′26.24′′n \| temagami \| 1906-1911 \| secondary products included cobalt, copper, zinc row 13 : red lake mine \| ontario \| None \| red lake \| None \| None row 14 : temagami-lorrain mine \| ontario \| 47°06′39.79′′n \| temagami \| prior to 1912 \| also produced cobalt, arsenic ] Execute this SQL based on the above table: select comments where coordinates = '47°05′28.71′′n 79°49′30.83′′w / 47.0913083°n 79.8252306°w'	also produced silver
[ header: pos \| rider \| manufacturer \| time/retired \| points row 1 : 1 \| loris capirossi \| honda \| 43:06.089 \| 25 row 2 : 2 \| doriano romboni \| honda \| 0.689 \| 20 row 3 : 3 \| max biaggi \| aprilia \| 1.181 \| 16 row 4 : 4 \| ralf waldmann \| honda \| 5.123 \| 13 row 5 : 5 \| jean-michel bayle \| aprilia \| 5.528 \| 11 row 6 : 6 \| nobuatsu aoki \| honda \| 5.821 \| 10 row 7 : 7 \| jean philippe ruggia \| aprilia \| 9.018 \| 9 row 8 : 8 \| tetsuya harada \| yamaha \| 24.059 \| 8 row 9 : 9 \| tadayuki okad \| honda \| 29.043 \| 7 row 10 : 10 \| wilco zeelenberg \| honda \| 36.273 \| 6 row 11 : 11 \| toshihiko honma \| yamaha \| 41.787 \| 5 row 12 : 12 \| adrien bosshard \| honda \| 52.489 \| 4 row 13 : 13 \| carlos checa \| honda \| 57.206 \| 3 row 14 : 14 \| eskil suter \| aprilia \| +1:01.503 \| 2 row 15 : 15 \| luis maurel \| honda \| +1:03.353 \| 1 row 16 : 16 \| patrick vd goorbergh \| aprilia \| +1:04.277 \| None row 17 : 17 \| adolf stadler \| honda \| +1:16.427 \| None row 18 : 18 \| juan borja \| honda \| +1:19.607 \| None row 19 : 19 \| chrisrian boudinot \| aprilia \| +1:20.163 \| None row 20 : 20 \| bernd kassner \| aprilia \| +1:20.761 \| None row 21 : 21 \| andreas preining \| aprilia \| +1:26.864 \| None row 22 : 22 \| noel ferro \| honda \| +1:27.009 \| None row 23 : 23 \| sebastien scarnato \| honda \| +1:36.321 \| None row 24 : 24 \| krisse kaas \| yamaha \| +1 lap \| None row 25 : 25 \| donnie hough \| honda \| +1 lap \| None row 26 : ret \| rodney fee \| honda \| retirement \| None row 27 : ret \| jurgen vd goorbergh \| aprilia \| retirement \| None row 28 : ret \| luis d'antin \| honda \| retirement \| None row 29 : ret \| manuel hernandez \| aprilia \| retirement \| None row 30 : ret \| frederic protat \| honda \| retirement \| None row 31 : ret \| giuseppe fiorillo \| honda \| retirement \| None row 32 : ret \| jose luis cardoso \| aprilia \| retirement \| None row 33 : ret \| enrique de juan \| aprilia \| retirement \| None row 34 : ret \| alessandro gramigni \| aprilia \| retirement \| None ] Execute this SQL based on the above table: select manufacturer where time/retired = '0.689'	honda
[ header: name \| canton \| district \| area (km2) \| population (as of 2005) \| date of law row 1 : diekirch dikrech \| diekirch \| diekirch \| 12.42 \| 6165 \| 24 february 1843 row 2 : differdange deifferdeng \| esch-sur-alzette \| luxembourg \| 22.18 \| 19005 \| 4 august 1907 row 3 : dudelange diddeleng \| esch-sur-alzette \| luxembourg \| 21.38 \| 17618 \| 4 august 1907 row 4 : echternach iechternach \| echternach \| grevenmacher \| 20.49 \| 4507 \| 24 february 1843 row 5 : esch-sur-alzette \| esch-sur-alzette \| luxembourg \| 14.35 \| 28000 \| 29 may 1906 row 6 : ettelbruck ettelbreck \| diekirch \| diekirch \| 15.18 \| 7364 \| 4 august 1907 row 7 : grevenmacher greiwemaa \| grevenmacher \| grevenmacher \| 16.48 \| 3966 \| 24 february 1843 row 8 : luxembourg city letzebuerg \| luxembourg \| luxembourg \| 51.46 \| 76420 \| 24 february 1843 row 9 : remich reimech \| remich \| grevenmacher \| 5.29 \| 2986 \| 24 february 1843 row 10 : rumelange remeleng \| esch-sur-alzette \| luxembourg \| 6.83 \| 4495 \| 4 august 1907 row 11 : vianden veianen \| vianden \| diekirch \| 9.67 \| 1561 \| 24 february 1843 row 12 : wiltz wolz \| wiltz \| diekirch \| 19.37 \| 4587 \| 24 february 1843 ] Execute this SQL based on the above table: select district where population (as of 2005) < ( select population (as of 2005) where district = 'luxembourg' ) order by population (as of 2005) desc limit 1	luxembourg
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 26, 1959 \| at los angeles rams \| w 23-21 \| 71297 row 2 : 2 \| october 4, 1959 \| at philadelphia eagle \| l 49-21 \| 27023 row 3 : 3 \| october 11, 1959 \| at cleveland browns \| w 10-6 \| 65534 row 4 : 4 \| october 18, 1959 \| philadelphia eagles \| w 24-7 \| 68783 row 5 : 5 \| october 25, 1959 \| at pittsburgh steelers \| w 21-16 \| 33596 row 6 : 6 \| november 1, 1959 \| green bay packers \| w 20-3 \| 68837 row 7 : 7 \| november 8, 1959 \| chicago cardinals \| w 9-3 \| 56779 row 8 : 8 \| november 15, 1959 \| pittsburgh steelers \| l 14-9 \| 66786 row 9 : 9 \| november 22, 1959 \| at chicago cardinals (bloom \| w 30-20 \| 26625 row 10 : 10 \| november 29, 1959 \| washington redskins \| w 45-14 \| 60982 row 11 : 11 \| december 6, 1959 \| cleveland browns \| w 48-7 \| 68436 row 12 : 12 \| december 13, 1959 \| at washington redskins \| w 24-10 \| 26198 ] Execute this SQL based on the above table: select result where attendance > ( select attendance where result = 'w 21-16' )	w 23-21, w 10-6, w 24-7, w 20-3, w 9-3, l 14-9, w 45-14, w 48-7
[ header: department \| total deputies \| uninominal deputies \| plurinominal deputies \| special indigenous or campesino deputies \| senators row 1 : la paz \| 29 \| 14 \| 14 \| 1 \| 4 row 2 : santa cruz \| 28 \| 14 \| 13 \| 1 \| 4 row 3 : cochabamba \| 19 \| 9 \| 9 \| 1 \| 4 row 4 : potosi \| 13 \| 7 \| 6 \| 0 \| 4 row 5 : chuquisaca \| 10 \| 5 \| 5 \| 0 \| 4 row 6 : oruro \| 9 \| 4 \| 4 \| 1 \| 4 row 7 : tarija \| 9 \| 4 \| 4 \| 1 \| 4 row 8 : beni \| 8 \| 4 \| 3 \| 1 \| 4 row 9 : pando \| 5 \| 2 \| 2 \| 1 \| 4 row 10 : total \| 130 \| 63 \| 60 \| 7 \| 36 ] Execute this SQL based on the above table: select count ( * ) where department = '14'	0
[ header: year \| competition \| venue \| position \| notes row 1 : 1995 \| world indoor championships \| barcelona, spain \| 11th \| pentathlon row 2 : 1996 \| olympic games \| atlanta, georgia, us \| 24th \| heptathlon row 3 : 1997 \| world championships \| athens, greece \| 16th \| heptathlon row 4 : 1998 \| european indoor championships \| valencia, spain \| 7th \| pentathlon row 5 : 1998 \| european championships \| budapest, hungary \| 14th \| heptathlon row 6 : 2000 \| olympic games \| sydney, australia \| dnf \| heptathlon ] Execute this SQL based on the above table: select ( select year where position = 'dnf' ) > 660	1
[ header: poll source \| date(s) administered \| sample size \| margin of error \| andrew cuomo (d) \| rob astorino (r) \| other \| undecided row 1 : siena \| march 16-20, 2014 \| 813 \| ± 3.4% \| 61% \| 26% \| None \| 13% row 2 : marist \| february 28-march 3, 2014 \| 658 \| ± 3.8% \| 65% \| 25% \| None \| 10% row 3 : quinnipiac \| february 6-10, 2014 \| 1488 \| ± 2.5% \| 58% \| 24% \| 2% \| 16% row 4 : siena \| january 12-16, 2014 \| 808 \| ± 3.4% \| 67% \| 19% \| 3% \| 11% row 5 : quinnipiac \| november 20-24, 2013 \| 1337 \| ± 2.7% \| 56% \| 25% \| 2% \| 17% row 6 : marist \| november 18-20, 2013 \| 675 \| ± 3.8% \| 65% \| 23% \| None \| 12% row 7 : siena \| november 11-14, 2013 \| 806 \| ± 3.5% \| 63% \| 24% \| None \| 13% ] Execute this SQL based on the above table: select count ( * ) where margin of error = '± 3.8%'	2
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning rider row 1 : 1 \| r1 \| jerez \| 18 march \| raymond roche \| stephane mertens \| raymond roche row 2 : 1 \| r2 \| jerez \| 18 march \| raymond roche \| raymond roche \| raymond roche row 3 : 2 \| r1 \| donington \| 16 april \| giancarlo falappa \| rob phillis \| fred merkel row 4 : 2 \| r2 \| donington \| 16 april \| giancarlo falappa \| raymond roche \| giancarlo falappa row 5 : 3 \| r1 \| hungaroring \| 30 april \| malcolm campbell \| raymond roche \| fred merkel row 6 : 3 \| r2 \| hungaroring \| 30 april \| malcolm campbell \| fred merkel \| raymond roche row 7 : 4 \| r1 \| hockenheim \| 6 may \| raymond roche \| fred merkel \| fred merkel row 8 : 4 \| r2 \| hockenheim \| 6 may \| raymond roche \| raymond roche \| stephane mertens row 9 : 5 \| r1 \| mosport \| 3 june \| giancarlo falappa \| raymond roche \| raymond roche row 10 : 5 \| r2 \| mosport \| 3 june \| giancarlo falappa \| jamie james \| raymond roche row 11 : 6 \| r1 \| brainerd \| 10 june \| doug chandler \| doug chandler \| stephane mertens row 12 : 6 \| r2 \| brainerd \| 10 june \| doug chandler \| fabrizio pirovano \| doug chandler row 13 : 7 \| r1 \| osterreichring \| 1 july \| stephane mertens \| rob mcelnea \| fabrizio pirovano row 14 : 7 \| r2 \| osterreichring \| 1 july \| stephane mertens \| stephane mertens \| stephane mertens row 15 : 8 \| r1 \| sugo \| 26 august \| raymond roche \| raymond roche \| raymond roche row 16 : 8 \| r2 \| sugo \| 26 august \| raymond roche \| peter goddard \| doug chandler row 17 : 9 \| r1 \| le mans \| 9 september \| baldassarre monti \| raymond roche \| raymond roche row 18 : 9 \| r2 \| le mans \| 9 september \| baldassarre monti \| jamie james \| raymond roche row 19 : 10 \| r1 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 20 : 10 \| r2 \| monza \| 7 october \| baldassarre monti \| rob phillis \| fabrizio pirovano row 21 : 11 \| r1 \| shah alam \| 4 november \| rob phillis \| fabrizio pirovano \| fabrizio pirovano row 22 : 11 \| r2 \| shah alam \| 4 november \| rob phillis \| raymond roche \| fabrizio pirovano row 23 : 12 \| r1 \| phillip island \| 11 november \| peter goddard \| fabrizio pirovano \| peter goddard ] Execute this SQL based on the above table: select count ( * ) where round > 28	0
[ header: discipline \| amanda \| bernie \| javine h \| julia \| michelle row 1 : whitewater kayak \| 0 \| 2 \| 4 \| 3 \| 6 row 2 : hurdles \| 3 \| 1 \| 6 \| 5 \| 3 row 3 : cycling \| 4 \| 2 \| 4 \| 6 \| 0 row 4 : gym floor \| 0 \| 3 \| 6 \| 5 \| 2 row 5 : swimming \| 4 \| 3 \| 6 \| 5 \| 0 row 6 : curling \| 0 \| 2 \| 4 \| 3 \| 5 row 7 : archery \| 4 \| 0 \| 5 \| 2 \| 3 row 8 : hammer \| 2 \| 3 \| 5 \| 4 \| 2 row 9 : 100m sprint \| 2 \| 0 \| 5 \| 3 \| 4 row 10 : total \| 19 \| 16 \| 45 \| 36 \| 25 ] Execute this SQL based on the above table: select discipline order by julia desc limit 1	total
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : pennsylvania 2 \| james m. beck \| republican \| 1927 \| resigned republican hold \| william h. wilson row 2 : pennsylvania 5 \| james j. connolly \| republican \| 1920 \| lost re-election democratic gain \| frank joseph gerard row 3 : pennsylvania 6 \| edward l. sto \| republican \| 1931 \| retired to run for governor democratic gain \| michael j. stack (d row 4 : pennsylvania 7 \| george p. darrow \| republican \| 1914 \| re-elected \| george p. darrow ( row 5 : pennsylvania 10 \| j. roland kinzer \| republican \| 1930 \| re-elected \| j. roland kinzer ( row 6 : pennsylvania 14 \| william emanuel rich \| democratic \| 1932 \| re-elected \| william emanuel rich row 7 : pennsylvania 17 \| j. william ditter \| republican \| 1932 \| re-elected \| j. william ditter ( row 8 : pennsylvania 20 \| thomas cunningham cochran \| republican \| 1926 \| retired democratic gain \| denis j. drisco row 9 : pennsylvania 22 \| harry l. haines \| democratic \| 1930 \| re-elected \| harry l. haines (d row 10 : pennsylvania 23 \| j. banks kurtz \| republican \| 1922 \| lost re-election democratic gain \| don gingery (d) 52.4% ] Execute this SQL based on the above table: select count ( distinct first elected )	8