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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 \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where year = 2009	vale of york
[ header: # \| season \| competition \| date \| round \| opponent \| h / a \| result \| scorer (s) row 1 : 35 \| 2011 \| afc champions league \| 2011-03-02 \| group stage \| al-ain \| a \| 1-0 \| s : dejan damjanovic row 2 : 36 \| 2011 \| afc champions league \| 2011-03-15 \| group stage \| hangzhou greentown \| h \| 3-0 \| s : dejan damjanovic, row 3 : 37 \| 2011 \| afc champions league \| 2011-04-06 \| group stage \| nagoya grampus \| a \| 1-1 \| s : choi hy row 4 : 39 \| 2011 \| afc champions league \| 2011-05-04 \| group stage \| al-ain \| h \| 3-0 \| s : dejan damjanovic (2) row 5 : 41 \| 2011 \| afc champions league \| 2011-05-25 \| round of 16 \| kashima antlers \| h \| 3-0 \| s : bang seung-h row 6 : 42 \| 2011 \| afc champions league \| 2011-09-14 \| quarter-finals 1st leg \| al-ittihad \| a \| 1-3 \| s : choi ta row 7 : 43 \| 2011 \| afc champions league \| 2011-09-27 \| quarter-finals 2nd leg \| al-ittihad \| h \| 1-0 \| s : mauricio molina row 8 : 44 \| 2013 \| afc champions league \| 2013-02-26 \| group stage \| jiangsu sainty \| h \| 5-1 \| s : dejan damjanovic (2) row 9 : 45 \| 2013 \| afc champions league \| 2013-03-12 \| group stage \| buriram united \| a \| 0-0 \| None row 10 : 46 \| 2013 \| afc champions league \| 2013-04-02 \| group stage \| vegalta sendai \| h \| 2-1 \| s : sergio escudero row 11 : 48 \| 2013 \| afc champions league \| 2013-04-24 \| group stage \| jiangsu sainty \| a \| 2-0 \| s : koh myong row 12 : 49 \| 2013 \| afc champions league \| 2013-05-01 \| group stage \| buriram united \| h \| 2-2 \| s : jung seung-y row 13 : 50 \| 2013 \| afc champions league \| 2013-05-14 \| round of 16 1st leg \| beijing guoan \| a \| 0-0 \| None row 14 : 53 \| 2013 \| afc champions league \| 2013-09-18 \| quarter-finals 2nd leg \| al-ahli \| h \| 1-0 \| s : dejan damjanovic row 15 : 55 \| 2013 \| afc champions league \| 2013-10-02 \| semi-finals 2nd leg \| esteghlal \| a \| 2-2 \| s : ha dae-sung ] Execute this SQL based on the above table: select season where scorer (s) = 's : mauricio molina' and season = 2011	2011
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select title where id = ( select id where title = '"if you say"' ) - 1	"dance 4 me"
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select host where host in ( 'auburn university' , '2' ) order by rnd desc limit 1	auburn university
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v.league \| 7th (2000-01) \| 4th \| 10 \| 18 \| 9 \| 9 row 2 : v.league \| 8th (2001-02) \| 4th \| 9 \| 16 \| 14 \| 2 row 3 : v.league \| 9th (2002-03) \| 3rd \| 8 \| 21 \| 12 \| 9 row 4 : v.league \| 10th (2003-04) \| runner-up \| 10 \| 18 \| 13 \| 5 row 5 : v.league \| 11th (2004-05) \| 8th \| 10 \| 27 \| 11 \| 16 row 6 : v.league \| 12th (2005-06) \| 4th \| 10 \| 27 \| 20 \| 7 row 7 : v・premier \| 2006-07 \| 6th \| 10 \| 27 \| 11 \| 16 row 8 : v・premier \| 2007-08 \| champion \| 10 \| 27 \| 23 \| 4 row 9 : v・premier \| 2008-09 \| champion \| 10 \| 27 \| 20 \| 7 row 10 : v・premier \| 2009-10 \| champion \| 8 \| 28 \| 21 \| 7 row 11 : v・premier \| 2010-11 \| runner-up \| 8 \| 26 \| 19 \| 7 row 12 : v・premier \| 2011-12 \| champion \| 8 \| 21 \| 18 \| 3 row 13 : v・premier \| 2012-13 \| runner-up \| 8 \| 28 \| 20 \| 8 ] Execute this SQL based on the above table: select position order by league desc limit 1	6th
[ 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 ( driver ) where equipment = 'None'	0
[ header: rank \| city \| passengers \| ranking \| airline row 1 : 1 \| united states, los angeles \| 14749 \| None \| alaska airlines row 2 : 2 \| united states, houston \| 5465 \| None \| united express row 3 : 3 \| canada, calgary \| 3761 \| None \| air transat, westjet row 4 : 4 \| canada, saskatoon \| 2282 \| 4 \| None row 5 : 5 \| canada, vancouver \| 2103 \| None \| air transat row 6 : 6 \| united states, phoenix \| 1829 \| 1 \| us airways row 7 : 7 \| canada, toronto \| 1202 \| 1 \| air transat, canjet row 8 : 8 \| canada, edmonton \| 110 \| None \| None row 9 : 9 \| united states, oakland \| 107 \| None \| None ] Execute this SQL based on the above table: select rank where airline = 'air transat, westjet' order by rank asc limit 351	3
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select start of term order by start of term desc limit 1	2006
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 4 \| ric converse \| 1 \| july 20, 2002 \| 231 \| graham, north carolina \| payback (2002) \| None row 2 : 6 \| xsiris \| 1 \| november 8, 2003 \| 161 \| burlington, north carolina \| live event \| in november 2003, the title was row 3 : 7 \| geestar \| 1 \| april 17, 2004 \| 70 \| burlington, north carolina \| live event \| None row 4 : 10 \| mitch connor \| 1 \| september 17, 2005 \| 112 \| burlington, north carolina \| live event \| None row 5 : 11 \| rob mcbride \| 1 \| january 7, 2006 \| 133 \| burlington, north carolina \| live event \| None row 6 : 12 \| michael mcallister \| 1 \| may 20, 2006 \| 70 \| burlington, north carolina \| live event \| None row 7 : 13 \| brass munkey \| 1 \| july 29, 2006 \| 154 \| burlington, north carolina \| cwf championship wrestling \| None row 8 : 14 \| steve greene \| 1 \| december 30, 2006 \| 168 \| burlington, north carolina \| battlecade vii (2006) \| None row 9 : 17 \| tank lawson \| 1 \| may 17, 2008 \| 112 \| burlington, north carolina \| revelation (2008) \| None row 10 : 18 \| marcellus king \| 1 \| september 6, 2008 \| 133 \| burlington, north carolina \| sumner civitans superbrawl \| None row 11 : 19 \| lee valiant \| 2 \| january 17, 2009 \| 273 \| burlington, north carolina \| night of challenges (2009) \| None row 12 : 20 \| joey silva \| 1 \| october 17, 2009 \| 77 \| burlington, north carolina \| cwf rumble (2009) \| None row 13 : 21 \| lee valiant \| 3 \| january 2, 2010 \| 14 \| burlington, north carolina \| battlecade x (2010) \| this was a no-disqualification row 14 : 22 \| roy wilkins \| 1 \| february 6, 2010 \| 133 \| burlington, north carolina \| title turmoil (2010) \| wilkins defeated arik royal to row 15 : 23 \| arik royal \| 1 \| june 19, 2010 \| 182 \| burlington, north carolina \| absolute justice iv (2010) \| None row 16 : 24 \| ray kandrack \| 1 \| december 18, 2010 \| 168 \| burlington, north carolina \| battlecade xi (2010) \| None row 17 : 25 \| steve greene \| 3 \| june 4, 2011 \| 0 \| burlington, north carolina \| title turmoil (2011) \| greene announced his retirement after the win, row 18 : 26 \| ray kandrack \| 2 \| june 19, 2011 \| 179 \| burlington, north carolina \| absolute justice 5 (2011) \| kandrack defeated jason miller to row 19 : 27 \| donnie dollar$ \| 1 \| december 15, 2011 \| 282 \| burlington, north carolina \| battlecade 12 (2011) \| None row 20 : 28 \| trevor lee \| 1 \| september 22, 2012 \| 641 \| burlington, north carolina \| converse vs. king (2012) \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'None'	0
[ header: year \| team \| gp \| gs \| mpg \| fg% \| 3p% \| ft% \| rpg \| apg \| spg \| bpg \| ppg row 1 : 1993-94 \| golden state \| 76 \| 76 \| 32.1 \| 0.552 \| 0 \| 0.532 \| 9.1 \| 3.6 \| 1.2 \| 2.2 \| 17.5 row 2 : 1994-95 \| washington \| 54 \| 52 \| 38.3 \| 0.495 \| 0.276 \| 0.502 \| 9.6 \| 4.7 \| 1.5 \| 1.6 \| 20.1 row 3 : 1995-96 \| washington \| 15 \| 15 \| 37.2 \| 0.543 \| 0.441 \| 0.594 \| 7.6 \| 5 \| 1.8 \| 0.6 \| 23.7 row 4 : 1996-97 \| washington \| 72 \| 72 \| 39 \| 0.518 \| 0.397 \| 0.565 \| 10.3 \| 4.6 \| 1.7 \| 1.9 \| 20.1 row 5 : 1997-98 \| washington \| 71 \| 71 \| 39.6 \| 0.482 \| 0.317 \| 0.589 \| 9.5 \| 3.8 \| 1.6 \| 1.7 \| 21.9 row 6 : 1998-99 \| sacramento \| 42 \| 42 \| 40.9 \| 0.486 \| 0.118 \| 0.454 \| 13 \| 4.1 \| 1.4 \| 2.1 \| 20 row 7 : 1999-00 \| sacramento \| 75 \| 75 \| 38.4 \| 0.483 \| 0.284 \| 0.751 \| 10.5 \| 4.6 \| 1.6 \| 1.7 \| 24.5 row 8 : 2000-01 \| sacramento \| 70 \| 70 \| 40.5 \| 0.481 \| 0.071 \| 0.703 \| 11.1 \| 4.2 \| 1.3 \| 1.7 \| 27.1 row 9 : 2001-02 \| sacramento \| 54 \| 54 \| 38.4 \| 0.495 \| 0.263 \| 0.749 \| 10.1 \| 4.8 \| 1.7 \| 1.4 \| 24.5 row 10 : 2002-03 \| sacramento \| 67 \| 67 \| 39.1 \| 0.461 \| 0.238 \| 0.607 \| 10.5 \| 5.4 \| 1.6 \| 1.3 \| 23 row 11 : 2003-04 \| sacramento \| 23 \| 23 \| 36.1 \| 0.413 \| 0.2 \| 0.711 \| 8.7 \| 4.6 \| 1.3 \| 0.9 \| 18.7 row 12 : 2004-05 \| sacramento \| 46 \| 46 \| 36.3 \| 0.449 \| 0.379 \| 0.799 \| 9.7 \| 5.5 \| 1.5 \| 0.7 \| 21.3 row 13 : 2004-05 \| philadelphia \| 21 \| 21 \| 33.4 \| 0.391 \| 0.267 \| 0.776 \| 7.9 \| 3.1 \| 1.2 \| 0.9 \| 15.6 row 14 : 2005-06 \| philadelphia \| 75 \| 75 \| 38.6 \| 0.434 \| 0.273 \| 0.756 \| 9.9 \| 3.4 \| 1.4 \| 0.8 \| 20.2 row 15 : 2006-07 \| philadelphia \| 18 \| 18 \| 30.2 \| 0.387 \| 0.4 \| 0.643 \| 8.3 \| 3.4 \| 1 \| 0.8 \| 11 row 16 : 2006-07 \| detroit \| 43 \| 42 \| 29.7 \| 0.489 \| 0.333 \| 0.636 \| 6.7 \| 3 \| 1 \| 0.6 \| 11.3 row 17 : 2007-08 \| golden state \| 9 \| 8 \| 14 \| 0.484 \| 0 \| 0.417 \| 3.6 \| 2 \| 0.4 \| 0.7 \| 3.9 row 18 : career \| None \| 831 \| 827 \| 37.1 \| 0.479 \| 0.299 \| 0.649 \| 9.8 \| 4.2 \| 1.4 \| 1.4 \| 20.7 row 19 : all-star \| None \| 4 \| 4 \| 19 \| 0.371 \| 0.333 \| 0.375 \| 6 \| 3.3 \| 1 \| None \| 7.5 ] Execute this SQL based on the above table: select abs ( ( select mpg where team = 'sacramento' ) - ( select mpg where team = 'philadelphia' ) )	7.5
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select team where year = ( select year where team = 'buf' ) + 1	buf
[ header: pick # \| nfl team \| player \| position \| college row 1 : 81 \| philadelphia eagles \| paul fanning \| back \| kansas state row 2 : 82 \| brooklyn dodgers \| ed nowogrowski \| back \| university of washington row 3 : 83 \| chicago cardinals \| dwight hafeli \| back \| washington (st. louis) row 4 : 84 \| new york giants \| dwight scheyer \| end \| washington state row 5 : 85 \| pittsburgh pirates \| matt patanelli \| tackle \| michigan row 6 : 86 \| boston redskins \| bill docherty \| guard \| temple row 7 : 87 \| detroit lions \| larry kelley \| guard \| yale row 8 : 88 \| chicago bears \| al guepe \| end \| marquette row 9 : 89 \| green bay packers \| gordon dahlgren \| guard \| michigan state row 10 : 90 \| cleveland rams \| ray johnson \| tackle \| denver ] Execute this SQL based on the above table: select count ( player ) where position > 1765	10
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select count ( class a ) + count ( class aa )	30
[ header: year \| film \| function \| notes row 1 : 2002 \| the bacchae \| producer \| screen adaptation of euripides' classic row 2 : 2004 \| shakespeare's merchant \| producer \| adaptation of shakespeare's the merchant row 3 : 2004 \| the trojan women \| producer/actress \| documentary film of brad mays' 2003 los row 4 : 2007 \| schooled \| co-producer \| None row 5 : 2008 \| sing*ularity \| producer \| documentary about the world-famous operaworks row 6 : 2008 \| the watermelon \| producer \| oddball romantic comedy, written by michae row 7 : 2008 \| the audacity of democracy \| producer \| documentary film of the 2008 democratic presidential primary, shot row 8 : 2011 \| customer diss-service \| co-producer \| web series directed by brad mays and row 9 : 2012 \| beginning blue \| producer, writer \| feature film about an all-girl rock band determined row 10 : 2012 \| the donut shop \| co-producer \| comedy short directed by brad mays, and row 11 : 2013 \| i grew up in princeton \| producer \| feature documentary directed by brad mays ] Execute this SQL based on the above table: select function where function != 'co-producer' order by year desc limit 1	producer
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 3 \| 0 \| 2 \| 5 row 2 : 2 \| italy \| 1 \| 1 \| 0 \| 2 row 3 : 3 \| finland \| 0 \| 1 \| 0 \| 1 row 4 : 3 \| germany \| 0 \| 1 \| 0 \| 1 row 5 : 3 \| switzerland \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| france \| 0 \| 0 \| 1 \| 1 row 7 : 6 \| georgia \| 0 \| 0 \| 1 \| 1 row 8 : None \| total \| 4 \| 4 \| 4 \| 12 ] Execute this SQL based on the above table: select nation order by rank desc limit 1	france
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select bronze order by id desc limit 1	urszula włodarczyk (pol)
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select rank where rank = 4	4.0
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select tyre where tyre in ( 'd' , 'd' ) order by no desc limit 1	d
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select driver where grid < 8	jo bonnier, jack brabham, masten gregory, jean behra, graham hill, stirling moss, harry schell
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season )	10
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select count ( title ) where year = 0	0
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select ( select time where women's winner = 'ann rindt (ned)' ) > ( select time where women's winner = 'valentina poltavskaya (rus)' )	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 bike where bike != 'honda cbr1000rr' and pos = 8 and laps = 22	suzuki gsx-r1000 k6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select count ( event ) where event = '110 m hurdles' and venue = 'manila, philippines'	1
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place in ( '4th' , 'None' ) order by tier desc limit 1	4th
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select location group by location having count ( * ) = 1	located at the north apron of phoenix-mesa gateway airport in the grounds which once were part of williams air force base. 33°18′40′′n 111°40′11′′w / 33.31111°n 111.66972°w, northeastern corner of the junction of innovation and unity aves. (once known as the jct. of 12th and b sts.) at arizona state university at the polytechnic campus in the grounds that once were part of williams air force base. 33°18′17′′n 111°40′51′′w / 33.30472°n 111.68083°w, northeastern corner of unity ave. (once known as jct. of 11th and a sts.), at arizona state university at the polytechnic campus in the grounds that once were part of williams air force base. 33°18′14′′n 111°40′45′′w / 33.30389°n 111.67917°w, northwestern corner of the junction of innovation and unity aves. (once known as jct. of 11th and a sts.), at arizona state university at the polytechnic campus in the grounds that once belonged to williams air force base. 33°18′14′′n 111°40′49′′w / 33.30389°n 111.68028°w, southwest of vosler dr. (formerly alaska drive), at arizona state university at the polytechnic campus in the grounds that once was a part of williams air force base. 33°17′39′′n 111°40′40′′w / 33.29417°n 111.67778°w, southwest of vosler dr. (formerly alaska drive), at arizona state university at the polytechnic campus in the grounds that once was a part of williams air force base. 33°17′43′′n 111°40′43′′w / 33.29528°n 111.67861°w, the flagpole was once located at 10 st. between d and e sts. at williams air force base. it is now located at the entrance of the phoenix-mesa gateway airport which is located on the grounds which once belonged to williams afb. 33°18′25′′n 111°40′45′′w / 33.30694°n 111.67917°w
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1998 \| wolverhampton wanderers \| h \| 0-2 \| 7521 \| None row 2 : 29 august 1998 \| grimsby town \| h \| 0-0 \| 5587 \| None row 3 : 31 august 1998 \| barnsley \| a \| 0-1 \| 15328 \| None row 4 : 6 september 1998 \| portsmouth \| h \| 3-0 \| 6626 \| marsh, windass (2, 1 pen) row 5 : 9 september 1998 \| swindon town \| a \| 1-4 \| 8305 \| banger row 6 : 19 september 1998 \| sunderland \| a \| 0-7 \| 34567 \| None row 7 : 26 september 1998 \| queens park rangers \| h \| 4-1 \| 7489 \| beauchamp, murphy, thom row 8 : 10 october 1998 \| tranmere rovers \| h \| 1-2 \| 5862 \| windass row 9 : 17 october 1998 \| bolton wanderers \| a \| 1-1 \| 17064 \| thomson row 10 : 31 october 1998 \| crewe alexandra \| h \| 1-1 \| 5607 \| windass row 11 : 21 november 1998 \| port vale \| h \| 2-1 \| 5964 \| windass (pen), powell row 12 : 5 december 1998 \| bradford city \| h \| 0-1 \| 5969 \| None row 13 : 19 december 1998 \| stockport county \| a \| 0-2 \| 6500 \| None row 14 : 28 december 1998 \| portsmouth \| a \| 2-2 \| 12604 \| banger (2) row 15 : 9 january 1999 \| bristol city \| h \| 0-0 \| 9434 \| None row 16 : 30 january 1999 \| barnsley \| h \| 1-0 \| 6174 \| windass row 17 : 6 february 1999 \| wolverhampton wanderers \| a \| 1-1 \| 20811 \| windass row 18 : 13 february 1999 \| swindon town \| h \| 2-0 \| 8179 \| windass (2, 1 pen) row 19 : 27 february 1999 \| sunderland \| h \| 0-0 \| 9044 \| None row 20 : 3 march 1999 \| queens park rangers \| a \| 0-1 \| 9040 \| None row 21 : 9 march 1999 \| huddersfield town \| h \| 2-2 \| 6034 \| cook, beauchamp row 22 : 13 march 1999 \| watford \| h \| 0-0 \| 8137 \| None row 23 : 20 march 1999 \| crewe alexandra \| a \| 1-3 \| 4791 \| thomson row 24 : 26 march 1999 \| sheffield united \| a \| 2-1 \| 14115 \| thomson, banger row 25 : 3 april 1999 \| bolton wanderers \| h \| 0-0 \| 7547 \| None row 26 : 5 april 1999 \| tranmere rovers \| a \| 2-2 \| 7837 \| weatherstone, gilchrist row 27 : 17 april 1999 \| port vale \| a \| 0-1 \| 7393 \| None row 28 : 24 april 1999 \| norwich city \| h \| 2-4 \| 7345 \| wilsterman, francis row 29 : 1 may 1999 \| bradford city \| a \| 0-0 \| 15064 \| None row 30 : 9 may 1999 \| stockport county \| h \| 5-0 \| 6830 \| gilchrist, powell, beauch ] Execute this SQL based on the above table: select count ( * ) where scorers > 1238	17
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select river order by serial number desc limit 1	chimmini dam
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select album where id = 1	non-album singles
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select level order by administrative area desc limit 1	prefecture-level city
[ header: pick # \| nfl team \| player \| position \| college row 1 : 183 \| tampa bay buccaneers \| parnell dickinson \| quarterback \| mississippi valley state row 2 : 184 \| seattle seahawks \| dick dixon \| defensive tackle \| arkansas state row 3 : 185 \| miami dolphins \| joe ingersoll \| guard \| unlv row 4 : 186 \| dallas cowboys \| greg schaum \| defensive tackle \| michigan state row 5 : 187 \| cincinnati bengals \| bob bateman \| quarterback \| brown row 6 : 188 \| new york jets \| abdul salaam \| defensive end \| kent state row 7 : 189 \| cleveland browns \| steve cassidy \| defensive tackle \| louisiana state row 8 : 190 \| chicago bears \| jerry muckensturm \| linebacker \| arkansas state row 9 : 191 \| philadelphia eagles \| carl hairston \| defensive end \| maryland-eastern shore row 10 : 192 \| cincinnati bengals \| carmen rome \| defensive back \| miami (oh) row 11 : 193 \| atlanta falcons \| karl farmer \| wide receiver \| pittsburgh row 12 : 194 \| san francisco 49ers \| jay chesley \| defensive back \| vanderbilt row 13 : 195 \| buffalo bills \| jackie williams \| defensive back \| texas a&m row 14 : 196 \| kansas city chiefs \| rod wellington \| running back \| iowa row 15 : 197 \| houston oilers \| larry harris \| defensive tackle \| oklahoma state row 16 : 198 \| detroit lions \| garth ten napel \| linebacker \| texas a&m row 17 : 199 \| new york jets \| james richards \| running back \| florida row 18 : 200 \| miami dolphins \| john owens \| defensive end \| tennessee state row 19 : 201 \| new orleans saints \| ed bauer \| guard \| notre dame row 20 : 202 \| new england patriots \| perry brooks \| defensive tackle \| southern row 21 : 203 \| st. louis cardinals \| phil rogers \| running back \| virginia tech row 22 : 204 \| oakland raiders \| clarence chapman \| wide receiver \| eastern michigan row 23 : 205 \| cincinnati bengals \| ken kuhn \| linebacker \| ohio state row 24 : 206 \| minnesota vikings \| larry brune \| defensive back \| rice row 25 : 207 \| los angeles rams \| larry buie \| defensive back \| mississippi state row 26 : 208 \| dallas cowboys \| david williams \| running back \| colorado row 27 : 209 \| pittsburgh steelers \| barry burton \| tight end \| vanderbilt ] Execute this SQL based on the above table: select count ( nfl team ) where pick # != 188	26
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select location where location != 'epinoy' and opponent = ( select opponent where location = 'epinoy' )	southeast of ostend, north of roye, somme, south of rumaucourt, saint-quentin, aisne lake, west of cambrai, east of bourlon wood, villers-pol
[ header: year \| film \| director \| producer \| writer \| notes row 1 : 1953 \| the sea around us \| yes \| yes \| yes \| documentary academy award for best documentary feature row 2 : 1954 \| dangerous mission \| None \| yes \| None \| None row 3 : 1956 \| the animal world \| yes \| yes \| yes \| documentary row 4 : 1957 \| the story of mankind \| yes \| yes \| yes \| documentary row 5 : 1960 \| the big circus \| None \| yes \| yes \| None row 6 : 1960 \| the lost world \| yes \| yes \| yes \| None row 7 : 1961 \| voyage to the bottom of the sea \| yes \| yes \| yes \| None row 8 : 1962 \| five weeks in a balloon \| yes \| yes \| yes \| None row 9 : 1972 \| the poseidon adventure \| yes \| yes \| None \| directed action sequences only nominated-gold row 10 : 1974 \| the towering inferno \| None \| yes \| None \| nominated-academy award for best row 11 : 1978 \| the swarm \| yes \| yes \| None \| None row 12 : 1979 \| beyond the poseidon adventure \| yes \| yes \| None \| None row 13 : 1980 \| when time ran out \| None \| yes \| None \| None row 14 : 1983 \| cave-in! \| None \| yes \| None \| None ] Execute this SQL based on the above table: select year where year in ( '1961' , 'None' ) order by year desc limit 1	1961
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select count ( serials issued ) where slogan = 'grand canyon state embossed in white and centered at bottom'	3
[ header: tenure \| coach \| years \| record \| pct. \| ncaa tournament row 1 : 1933 \| sam mcallister \| 1 \| 5-4-0 \| 0.556 \| None row 2 : 1934 \| herschel bobo \| 1 \| None \| None \| None row 3 : 1934-1939 \| del morgan \| 6 \| None \| None \| None row 4 : 1940 \| porter grant \| 1 \| 4-5-0 \| 0.444 \| None row 5 : 1941-1942 \| jimmy hitchcock \| 2 \| None \| None \| None row 6 : 1943-1946 \| bob evans \| 2 \| None \| None \| None row 7 : 1947-1948 \| danny doyle \| 2 \| None \| None \| None row 8 : 1949-1950 \| johnny williamson \| 2 \| 21-23-0 \| 0.477 \| None row 9 : 1951-1957 \| dick mcgowen \| 7 \| 90-76-2 \| 0.548 \| None row 10 : 1958 \| joe connally \| 1 \| 17-8-0 \| 0.68 \| None row 11 : 1959-1962 \| erk russell \| 4 \| 59-37-1 \| 0.62 \| None row 12 : 1963-1984 \| paul nix \| 22 \| 515-376-0 \| 0.578 \| 4 row 13 : 1985-2000 \| hal baird \| 16 \| 634-328-0 \| 0.659 \| 9 row 14 : 2001-2004 \| steve renfroe \| 4 \| 145-92-0 \| 0.612 \| 3 row 15 : 2005-2008 \| tom slater \| 4 \| 115-113-0 \| 0.504 \| 1 row 16 : 2009-2013 \| john pawlowski \| 5 \| 167-126 \| 0.57 \| 1 row 17 : 2014-present \| sunny golloway \| 1 \| 17-8-0 \| 0.68 \| 0 row 18 : totals \| 16 coaches \| 81 \| None \| None \| 18 ] Execute this SQL based on the above table: select coach where ncaa tournament < ( select ncaa tournament where coach = 'john pawlowski' ) order by ncaa tournament desc limit 1	sunny golloway
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation order by id desc limit 1	saint kitts and nevis
[ header: model \| origin \| type \| version \| in service \| notes row 1 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series, including armor row 2 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 19 \| 23 delivered to afp on nov row 3 : m939 truck \| united states \| heavy utility vehicle \| m923 m929 m \| >20 0 0 0 0 \| 20 m923 delivered in 2010, several more row 4 : m35 truck \| united states \| heavy utility vehicle \| m35a1 m35a2 \| None \| divided into several variants and series, in service row 5 : mitsubishi fuso fighter \| japan \| light utility vehicle \| fk troop carrier \| None \| locally sourced row 6 : cmc cruiser \| philippines \| 1/4-ton light utility vehicle \| standard \| None \| limited production run, introduced in the mid-1990 row 7 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 8 : m151 \| united states \| 1/4-ton light utility vehicle \| m151 \| None \| in service row 9 : mitsubishi l200 \| japan \| light utility vehicle \| l200 \| None \| used by military police row 10 : km-50 series \| republic of korea \| heavy utility vehicle \| km-500 km-503 \| 6 12 \| km-500 as 155mm artillery row 11 : km-25 series \| republic of korea \| medium utility vehicle \| km-250 \| <250 \| in service. some units received by other armed row 12 : km-45 series \| republic of korea \| light utility vehicle \| km-450 \| 727 \| 651 purchased by afp on 2007 row 13 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 48 \| 60 purchased by afp in 2012, ] Execute this SQL based on the above table: select count ( * )	13
[ header: type \| stage \| cyclist \| team \| reason row 1 : dnf \| 2 \| remi pauriol \| cofidis \| broken collarbone row 2 : dns \| 3 \| jose angel gomez marchante \| cervelo testteam \| broken arm sustained from crash in stage 2 row 3 : dns \| 3 \| daniel martin \| garmin-slipstream \| illness row 4 : dns \| 3 \| joost posthuma \| rabobank \| illness row 5 : dnf \| 3 \| matteo bono \| lampre-ngc \| None row 6 : dnf \| 3 \| anthony charteau \| caisse d'epargne \| None row 7 : dns \| 4 \| sylvain calzat \| agritubel \| None row 8 : dns \| 4 \| bradley wiggins \| garmin-slipstream \| death in the family row 9 : dnf \| 4 \| jussi veikkanen \| francaise des jeux \| None row 10 : dns \| 5 \| inigo cuesta \| cervelo testteam \| None row 11 : dns \| 5 \| enrico franzoi \| liquigas \| None row 12 : dnf \| 5 \| steven cozza \| garmin-slipstream \| None row 13 : dnf \| 5 \| philippe gilbert \| silence-lotto \| None row 14 : dnf \| 5 \| brian vandborg \| liquigas \| None row 15 : dns \| 6 \| jelle vanendert \| silence-lotto \| None row 16 : dnf \| 6 \| jose luis arrieta \| ag2r-la mondiale \| None row 17 : dnf \| 6 \| sebastien chavanel \| francaise des jeux \| None row 18 : dnf \| 6 \| simon spilak \| lampre-ngc \| None row 19 : dnf \| 6 \| thomas voeckler \| bbox bouygues telecom \| shoulder injury sustained from crash row 20 : dns \| 7 \| sebastian langeveld \| rabobank \| None row 21 : dnf \| 7 \| samuel sanchez \| euskaltel-euskad \| None row 22 : dnf \| 7 \| mickael cherel \| francaise des jeux \| None row 23 : dnf \| 7 \| thomas fothen \| team milram \| None row 24 : dnf \| 7 \| marcel sieberg \| team columbia-high road \| None row 25 : dnf \| 7 \| tom veelers \| skil-shimano \| None row 26 : dnf \| 7 \| mickael buffaz \| cofidis \| None row 27 : dnf \| 7 \| javier aramendia \| euskaltel-euskad \| None row 28 : dnf \| 7 \| romain feillu \| agritubel \| None ] Execute this SQL based on the above table: select count ( type ) where stage = 0	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 max ( # )	7.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select count ( nation )	14
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select affiliation where enrollment < ( select enrollment where affiliation = 'private/presbyterian' ) order by enrollment desc limit 1	private/catholic
[ 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 abs ( isbn - contents ) where title = 'volume 2'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select count ( nation ) where nation = 'saudi arabia (ksa)'	1
[ header: name \| area \| height \| floors \| year row 1 : ratan planet \| opp. alimco, \| 90 metres (295 ft) \| 16 \| 2013 row 2 : the landmark hotel \| near navin market, mall road, downtown \| 80 metres (262 ft) \| 14 \| 2000 row 3 : ratan orbit \| mukherjee vihar, \| 70 metres (230 ft) \| 14 \| 2011 row 4 : bsnl tower \| opp. resrve bank \| 65 metres (213 ft) \| 15 \| 2001 row 5 : som business square (el mart) \| mega mall crossing, the mall, downtown \| 80 metres (262 ft) \| 15 \| 2005 row 6 : akashganga heights \| city bypass, chakeri \| 60 metres (197 ft) \| 15 \| 1995 row 7 : krishna tower \| opp. green park stadium, parw \| 48 metres (157 ft) \| 10 \| 2003 ] Execute this SQL based on the above table: select ( select floors where name = 'akashganga heights' ) - ( select sum ( floors ) where name != 'akashganga heights' )	-69.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album where notes = 'compilation of tracks from both albums, remixed' group by album having count ( * ) = 1	goodbye mr. mackenzie
[ header: no. \| date \| home team \| visiting team \| goals \| score \| result \| venue \| competition row 1 : 2 \| 25 mar 1992 \| scotland \| finland \| 41' 1-1 \| 1-1 \| draw \| hampden park, glasgow \| friendly row 2 : 3 \| 13 oct 1993 \| sweden \| finland \| 60' 3-2 \| 3-2 \| loss \| rasunda stadium, stockhol \| 1994 fifa world cup qualification row 3 : 5 \| 16 nov 1994 \| finland \| faroe islands \| 53' 2-0 72' 3-0 \| 5-0 \| win \| helsinki olym \| uefa euro 1996 qualifying row 4 : 7 \| 11 jun 1995 \| finland \| greece \| 45+1' 1-1 (pen.) \| 2-1 \| win \| helsinki olym \| uefa euro 1996 qualifying row 5 : 9 \| 2 feb 1997 \| turkey \| finland \| 17' 0-1 \| 1-1 \| draw \| ataturk stadium, denizli \| friendly row 6 : 12 \| 6 sep 1997 \| switzerland \| finland \| 16' 0-1 \| 1-2 \| win \| stade olympique de la pont \| 1998 fifa world cup qualification row 7 : 13 \| 14 oct 1998 \| turkey \| finland \| 90+6' 1-3 \| 1-3 \| win \| ali sami yen stadium, \| uefa euro 2000 qualifying row 8 : 14 \| 29 mar 2000 \| wales \| finland \| 21' 0-1 \| 1-2 \| win \| millennium stadium, cardiff \| friendly row 9 : 15 \| 16 aug 2000 \| finland \| norway \| 24' 1-0 61' 2-1 \| 3-1 \| win \| finnair stadium, helsink \| 2000-01 nordic football championship row 10 : 17 \| 2 sep 2000 \| finland \| albania \| 45 ' 1-0 \| 2-1 \| win \| finnair stadium, helsink \| 2002 fifa world cup qualification row 11 : 18 \| 15 aug 2001 \| finland \| belgium \| 3-0 (pen.) \| 4-1 \| win \| helsinki olym \| friendly row 12 : 20 \| 27 mar 2002 \| portugal \| finland \| 41' 1-3 53' 1-4 \| 1-4 \| win \| estadio do bessa \| friendly row 13 : 22 \| 30 apr 2003 \| finland \| iceland \| 55' 1-0 (pen.) \| 3-0 \| win \| pohjola stadion, my \| friendly row 14 : 23 \| 31 apr 2004 \| malta \| finland \| 86' 0-2 \| 1-2 \| win \| ta' qali national stadium, \| friendly row 15 : 25 \| 26 mar 2005 \| czech republic \| finland \| 46 ' 2-1 \| 4-3 \| loss \| na stinadle \| 2006 fifa world cup qualification row 16 : 27 \| 2 sep 2006 \| poland \| finland \| 54' 0-1 76' 0 \| 1-3 \| win \| zdzisław k \| uefa euro 2008 qualifying row 17 : 29 \| 6 feb 2008 \| finland \| greece \| 66' 1-0 \| 1-2 \| loss \| neo gsp stadium, \| friendly ] Execute this SQL based on the above table: select result where score = '3-1'	win
[ header: result \| record \| opponent \| method \| date \| round \| time \| event \| location \| notes row 1 : win \| 14-1 \| ted lascalza \| ko \| 1958 \| 1 \| None \| None \| None \| None row 2 : win \| None \| nick welling \| ko \| july 20, 1953 \| 2 \| None \| None \| None \| None row 3 : win \| None \| earl garrett \| ko \| 1950 \| 1 \| None \| golden gloves \| new jersey \| scheider suffers nose injury; drops out row 4 : win \| None \| peter read \| ko \| 1950 \| 3 \| None \| None \| new jersey \| None row 5 : win \| None \| phillip duncan \| ko \| february 17, 1950 \| 1 \| None \| None \| orange, new jersey \| None row 6 : win \| None \| myron greenberg \| ko \| 1950 \| 1 \| None \| None \| new jersey \| None row 7 : win \| None \| peter read \| ko \| february 21, 1948 \| 2 \| None \| golden gloves \| new jersey \| None row 8 : win \| None \| jerry gould \| ko \| 1948 \| 1 \| 0:33 \| golden gloves \| new jersey \| None row 9 : win \| None \| alfonse d'amore \| ko \| 1948 \| 1 \| 0:16 \| golden gloves \| new jersey \| None row 10 : loss \| 0-1 \| myron greenberg \| tko \| march 5, 1947 \| 2 \| None \| golden gloves \| new jersey \| scheider's nose is broken ] Execute this SQL based on the above table: select date order by round asc limit 1	1958
[ header: code \| county \| former province \| area (km2) \| population census 2009 \| capital row 1 : 1 \| mombasa \| coast \| 212.5 \| 939370 \| mombasa (city) row 2 : 2 \| kwale \| coast \| 8270.3 \| 649931 \| kwale row 3 : 3 \| kilifi \| coast \| 12245.9 \| 1109735 \| kilifi row 4 : 4 \| tana river \| coast \| 35375.8 \| 240075 \| hola row 5 : 5 \| lamu \| coast \| 6497.7 \| 101539 \| lamu row 6 : 6 \| taita-tavet \| coast \| 17083.9 \| 284657 \| voi row 7 : None \| totals \| None \| 79686.1 \| 3325307 \| None ] Execute this SQL based on the above table: select capital order by former province desc limit 1	mombasa (city)
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select # where opponent = 'mets'	91.0, 92.0
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season ) where flag bearer = 'ramaz nozadze'	1
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select name where years in nba = 9	mark madsen
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| the super destroyers (a.j. pe \| 1 \| 23-jun-92 \| 283 \| philadelphia, pa \| live event \| petrucci and stahl won the titles row 2 : 9 \| kevin sullivan and the \| 1 \| 4-dec-93 \| 92 \| philadelphia, pa \| hardcore tv #35 \| defeat dreamer and shane dou row 3 : 12 \| the public enemy \| 2 \| 5-nov-94 \| 91 \| philadelphia, pa \| november to remember (1994) \| None row 4 : 15 \| the public enemy \| 3 \| 8-apr-95 \| 83 \| philadelphia, pa \| three way dance \| also def. rick steiner ( row 5 : 16 \| raven and stevie richards \| 1 \| 30-jun-95 \| 78 \| jim thorpe, pa \| hardcore tv #115 \| aired 7-4-95 on t row 6 : 17 \| the pitbulls (pitbull #1 and pit \| 1 \| 16-sep-95 \| 21 \| philadelphia, pa \| gangsta's paradise \| None row 7 : 25 \| the dudley boyz (buh bu \| 1 \| 15-mar-97 \| 29 \| philadelphia, pa \| hostile city showdown \| aired 3/20/97 on hardcore row 8 : 26 \| the eliminators \| 3 \| 13-apr-97 \| 68 \| philadelphia, pa \| barely legal \| None row 9 : 30 \| the gangstanators (kronus \| 1 \| 20-sep-97 \| 28 \| philadelphia, pa \| as good as it gets \| aired 9-27-97 on row 10 : 31 \| full blooded italians (little gui \| 1 \| 18-oct-97 \| 48 \| philadelphia, pa \| hardcore tv #236 \| aired 11-1-97 on t row 11 : 32 \| doug furnas and phil \| 1 \| 5-dec-97 \| 1 \| waltham, ma \| live event \| None row 12 : 35 \| the dudley boyz \| 4 \| 24-oct-98 \| 8 \| cleveland, oh \| hardcore tv #288 \| aired 10-28-98 on t row 13 : 37 \| the dudley boyz \| 5 \| 6-nov-98 \| 37 \| new york, ny \| hardcore tv #290 \| aired 11-11-98 on t row 14 : 40 \| spike dudley and balls mahoney \| 1 \| 18-jul-99 \| 26 \| dayton, oh \| heat wave (1999) \| None row 15 : 43 \| the dudley boyz \| 8 \| 26-aug-99 \| 0 \| new york, ny \| ecw on tnn# \| aired 9-3-99 on t row 16 : 44 \| tommy dreamer (2) and raven (3) \| 1 \| 26-aug-99 \| 136 \| new york, ny \| ecw on tnn# \| aired 9-3-99 on t row 17 : 46 \| tommy dreamer (3) and masato \| 1 \| 26-feb-00 \| 7 \| cincinnati, oh \| hardcore tv #358 \| aired 3-7-00 on t ] Execute this SQL based on the above table: select wrestlers order by # desc limit 1	tommy dreamer (3) and masato tanaka (2)
[ 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 place order by season limit 1	2nd
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select home team order by score desc limit 1	bedford
[ 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 home ground where home ground in ( 'barlow park' , 'purtell park' ) and qld cup premierships = 'nil' order by first year in qld cup desc limit 1	barlow park
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning driver \| winning team \| winning privateer row 1 : 1 \| r1 \| mantorp park \| 10 may \| mattias ekstrom \| fredrik ekblom \| mats linden \| kristoffersson motorsport \| richard goransson row 2 : 1 \| r2 \| mantorp park \| 10 may \| None \| peggen andersson \| fredrik ekblom \| bmw dealer team \| pontus morth row 3 : 2 \| r3 \| karlskoga-gellera \| 31 may \| jan nilsson \| jan nilsson \| jan nilsson \| flash engineering \| pontus morth row 4 : 2 \| r4 \| karlskoga-gellera \| 31 may \| None \| fredrik ekblom \| peggen andersson \| bmw dealer team \| pontus morth row 5 : 3 \| r5 \| anderstorp \| 28 june \| mattias ekstrom \| fredrik ekblom \| jan nilsson \| flash engineering \| pontus morth row 6 : 3 \| r6 \| anderstorp \| 28 june \| None \| peggen andersson \| peggen andersson \| bmw dealer team \| georg bakajev row 7 : 4 \| r7 \| falkenberg \| 9 july \| jens edman \| jens edman \| jan nilsson \| flash engineering \| pontus morth row 8 : 4 \| r8 \| falkenberg \| 9 july \| None \| mattias ekstrom \| jens edman \| flash engineering \| pontus morth row 9 : 5 \| r9 \| ring knutstorp \| 6 september \| fredrik ekblom \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 10 : 5 \| r10 \| ring knutstorp \| 6 september \| None \| mats linden \| jan nilsson \| flash engineering \| georg bakajev row 11 : 6 \| r11 \| mantorp park \| 27 september \| tommy kristoffersson \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 12 : 6 \| r12 \| mantorp park \| 27 september \| None \| peggen andersson \| jan nilsson \| flash engineering \| pontus morth ] Execute this SQL based on the above table: select pole position order by round asc limit 1	mattias ekstrom
[ header: city \| country (noc) \| round 1 \| run-off \| round 3 \| round 4 \| round 5 row 1 : athens \| greece \| 32 \| None \| 38 \| 52 \| 66 row 2 : rome \| italy \| 23 \| None \| 28 \| 35 \| 41 row 3 : cape town \| south africa \| 16 \| 62 \| 22 \| 20 \| None row 4 : stockholm \| sweden \| 20 \| None \| 19 \| None \| None row 5 : buenos aires \| argentina \| 16 \| 44 \| None \| None \| None ] Execute this SQL based on the above table: select count ( country (noc) )	5
[ 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 # where id = 3	t3
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select ( select attendance where archive of presentations = 'presentations, videos' ) - ( select attendance where archive of presentations = 'presentations, videos' )	0.0
[ header: genre \| year \| title \| episode \| role \| notes row 1 : short film \| 1992 \| the bet \| None \| henry \| 21 minutes row 2 : short film \| 1996 \| sin #8 \| None \| None \| None row 3 : tv series \| 1997 \| nothing sacred \| "speaking in tongues" \| dr. elliott \| None row 4 : film \| 1998 \| finding north \| None \| travis furlong \| None row 5 : tv series \| 1998 \| sex and the city \| "oh come all ye faithful" \| tom \| None row 6 : tv series \| 1999 \| homicide: life on the street \| "zen and the art of murder" \| dennis kohler \| None row 7 : film \| 1999 \| the general's daughter \| None \| captain goodson \| None row 8 : tv series \| 2000 \| law & order: special victims unit \| "misleader" "nocturne" \| assistant district attorney \| None row 9 : film \| 2001 \| the anniversary party \| None \| jerry adams \| None row 10 : tv series \| 2001 \| the guardian \| "loyalties" \| the hudson's attorney \| None row 11 : tv film \| 2001 \| life with judy garland: me and \| None \| roger edens \| None row 12 : tv series \| 2002 \| hack \| "obsession" \| dr. martin shan \| None row 13 : tv series \| 2005 \| law & order \| "mammon" \| aaron solomon \| 5 episodes total row 14 : tv series \| 2006 \| brothers & sisters \| "light the lights" \| major guinness \| None row 15 : tv series \| 2006 \| justice \| "wrongful death" \| lloyd barrett \| None row 16 : tv series \| 2006 \| law & order \| "profiteer" \| aaron solomon \| 5 episodes total row 17 : tv series \| 2007 \| critical situation \| "nightmare on mt. \| narrator \| voice actor; also known as situation critical row 18 : tv series \| 2007 \| undercover history \| "the hunt for hitler" "the hunt \| narrator \| voice actor; 6 episodes total row 19 : tv series \| 2008 \| undercover history \| "unabomber: the secret history" \| narrator/himself \| voice actor; 6 episodes total row 20 : film \| 2009 \| the taking of pelham 123 \| None \| deputy mayor lasalle \| None row 21 : tv series \| 2009 \| timewatch \| "the real bonnie and clyde \| narrator \| voice actor row 22 : tv series \| 2010 \| the big c \| "pilot" "summer time" "there \| sean tolkey \| 36 episodes total row 23 : tv series \| 2011 \| a gifted man \| "in case of exposure" \| ben tucker \| None row 24 : tv series \| 2011 \| the good wife \| "great firewall" \| neil gross \| 3 episodes total row 25 : tv series \| 2012 \| the big c \| "thin ice" "what's \| sean tolkey \| 36 episodes total ] Execute this SQL based on the above table: select role group by role order by count ( * ) desc limit 1	narrator
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 9, 2009 \| @ portland lumberjax \| rose garden \| w 12-10 \| None \| 6859 \| 1-0 row 2 : 2 \| january 10, 2009 \| portland lumberjax \| pepsi center \| l 5-14 \| None \| 16987 \| 1-1 row 3 : 3 \| january 24, 2009 \| edmonton rush \| pepsi center \| l 9-11 \| None \| 16734 \| 1-2 row 4 : 4 \| january 31, 2009 \| new york titans \| pepsi center \| w 12-8 \| None \| 15023 \| 2-2 row 5 : 5 \| february 7, 2009 \| @ minnesota swarm \| xcel energy center \| w 13-8 \| None \| 11174 \| 3-2 row 6 : 6 \| february 14, 2009 \| calgary roughnecks \| pepsi center \| w 13-12 \| None \| 17712 \| 4-2 row 7 : 7 \| february 21, 2009 \| @ san jose stealth \| hp pavilion at san jose \| l 9-14 \| None \| 5576 \| 4-3 row 8 : 8 \| february 22, 2009 \| @ edmonton rush \| rexall place \| l 9-10 \| None \| 7249 \| 4-4 row 9 : 9 \| march 14, 2009 \| @ san jose stealth \| hp pavilion at san jose \| w 14-11 \| None \| 3535 \| 5-4 row 10 : 10 \| march 21, 2009 \| @ calgary roughnecks \| pengrowth saddledome \| l 10-13 \| None \| 10958 \| 5-5 row 11 : 11 \| march 22, 2009 \| minnesota swarm \| pepsi center \| w 13-11 \| None \| 15594 \| 6-5 row 12 : 12 \| march 28, 2009 \| @ philadelphia wings \| wachovia center \| l 13-17 \| None \| 11876 \| 6-6 row 13 : 13 \| april 3, 2009 \| rochester knighthawks \| pepsi center \| l 8-12 \| None \| 16834 \| 6-7 row 14 : 14 \| april 4, 2009 \| @ portland lumberjax \| rose garden \| l 12-13 \| ot \| 7859 \| 6-8 row 15 : 15 \| april 11, 2009 \| san jose stealth \| pepsi center \| l 10-11 \| ot \| 16189 \| 6-9 row 16 : 16 \| april 17, 2009 \| edmonton rush \| pepsi center \| w 10-9 \| None \| 16727 \| 7-9 ] Execute this SQL based on the above table: select count ( location ) where attendance > 158	16
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select count ( * ) where single = '"miss you"'	1
[ header: finished \| post \| horse \| jockey \| trainer \| owner \| time / behind row 1 : 1st \| 6 \| silver charm \| gary l. stevens \| bob baffert \| bob & beverly lewis \| 2:02.44 row 2 : 2nd \| 5 \| captain bodgit \| alex solis \| gary a. capuano \| team valor \| None row 3 : 3rd \| 12 \| free house \| david flores \| j. paco gonzal \| john toffan & trud \| None row 4 : 4th \| 3 \| pulpit \| shane sellers \| frank l. brothers \| claiborne farm \| None row 5 : 5th \| 10 \| crypto star \| pat day \| wayne m. catalano \| evelyn & darrell \| None row 6 : 6th \| 9 \| phantom on tour \| jerry d. bailey \| lynn s. whiting \| w. cal partee \| None row 7 : 7th \| 5 \| jack flash \| craig perret \| nick zito \| dogwood stable \| None row 8 : 8th \| 6 \| hello \| mike smith \| ronald mcanally \| sandee & al k \| None row 9 : 9th \| 1 \| concerto \| carlos h. marquez, j \| john j. tammaro \| kinsman stable \| None row 10 : 10th \| 13 \| celtic warrior \| francisco torres \| danny hutt \| hutt, quackenbush \| None row 11 : 11th \| 4 \| crimson classic \| robby albarado \| forrest kaelin \| john w. clay \| None row 12 : 12th \| 15 \| shammy davis \| willie martinez \| nick zito \| fox hill farm \| None row 13 : 13th \| 11 \| deeds not words \| corey nakatani \| d. wayne luka \| michael tabor & susan \| None ] Execute this SQL based on the above table: select sum ( post ) where time / behind <= 'None'	6.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( city ) where population (2011) > 0	30
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select team(s) where year = 1990	#31 grissom racing enterprises
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select retired where name = 'carrots'	1999
[ header: season \| competition \| round \| opponent \| home \| away \| aggregate row 1 : 2000-2001 \| uefa champions league \| third qualifying round \| galatasaray \| 1-2 \| 2-2 \| 3-4 row 2 : 2000-2001 \| uefa cup \| first round \| chelsea \| 2-0 \| 0-1 \| 2-1 row 3 : 2000-2001 \| uefa cup \| second round \| club brugge \| 1-1 \| 1-2 \| 2-3 row 4 : 2001-2002 \| uefa cup \| qualifying round \| pelister \| 2-3 \| 2-0 \| 4-3 row 5 : 2001-2002 \| uefa cup \| first round \| steaua bucuresti \| 2-1 \| 1-1 \| 3-2 row 6 : 2001-2002 \| uefa cup \| second round \| freiburg \| 1-4 \| 1-0 \| 2-4 row 7 : 2002 \| uefa intertoto cup \| first round \| b68 toftir \| 5-1 \| 6-0 \| 11-1 row 8 : 2002 \| uefa intertoto cup \| second round \| willem ii \| 1-1(aet) \| 0-1 \| 1-2 row 9 : 2007 \| uefa intertoto cup \| second round \| dacia chisinau \| 0-1(aet) \| 1-0 \| 1-1(0-3p) row 10 : 2013-14 \| uefa europa league \| play-off \| spartak moscow \| 1-1 \| 4-2 \| 5-3 row 11 : 2013-14 \| uefa europa league \| group a \| valencia \| 2-3 \| 1-5 \| 4th place row 12 : 2013-14 \| uefa europa league \| group a \| swansea city \| 1-0 \| 0-1 \| 4th place row 13 : 2013-14 \| uefa europa league \| group a \| kuban krasnodar \| 2-0 \| 0-4 \| 4th place ] Execute this SQL based on the above table: select ( select season where away = '2-0' ) - ( select season where away = '1-2' )	1
[ header: date \| opponent# \| rank# \| site \| result row 1 : september 5 \| maryland \| None \| carrier dome • syracuse, \| w 35-11 row 2 : september 12 \| rutgers \| None \| rutgers stadium • piscataway \| w 20-3 row 3 : september 19 \| miami (oh) \| None \| carrier dome • syracuse, \| w 24-10 row 4 : september 26 \| at virginia tech \| None \| lane stadium • blacksburg, va \| w 35-21 row 5 : october 3 \| at missouri \| None \| memorial stadium • columbia, mo \| w 24-13 row 6 : october 17 \| #10 penn state \| #13 \| carrier dome • syracuse, \| w 48-21 row 7 : october 24 \| colgate \| #9 \| carrier dome • syracuse, \| w 52-6 row 8 : october 31 \| at pittsburgh \| #8 \| pitt stadium • pittsburgh, pa \| w 24-10 row 9 : november 7 \| at navy \| #8 \| navy-marine corps memorial stadium • anna \| w 34-10 row 10 : november 14 \| boston college \| #6 \| carrier dome • syracuse, \| w 45-17 row 11 : november 21 \| west virginia \| #6 \| carrier dome • syracuse, \| w 32-31 row 12 : january 1 \| vs. #6 auburn \| #4 \| louisiana superdome • new orle \| t 16-16 ] Execute this SQL based on the above table: select site where result = 'w 48-21'	carrier dome • syracuse, ny
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select governorate where seats won = 0 and seats won = 0	al-anbar, diyala, ninawa
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select nation where rank is null	total
[ header: date \| event \| duration (months) \| duration (years) row 1 : 1927 \| experiment set up \| None \| None row 2 : 1930 \| the stem was cut \| None \| None row 3 : december 1938 \| 1st drop fell \| 96-107 \| 8.0-8.9 row 4 : february 1947 \| 2nd drop fell \| 99 \| 8.2 row 5 : april 1954 \| 3rd drop fell \| 86 \| 7.2 row 6 : may 1962 \| 4th drop fell \| 97 \| 8.1 row 7 : august 1970 \| 5th drop fell \| 99 \| 8.3 row 8 : april 1979 \| 6th drop fell \| 104 \| 8.7 row 9 : july 1988 \| 7th drop fell \| 111 \| 9.2 row 10 : 28 november 2000 \| 8th drop fell \| 148 \| 12.3 ] Execute this SQL based on the above table: select abs ( ( select duration (years) where duration (years) = '8.7' ) - ( select duration (years) where duration (years) = '8.7' ) )	0.0
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select number order by luke limit 1	1.0
[ header: # \| title \| producer(s) \| performer (s) \| time row 1 : 1 \| "i see dead people" \| phd \| grand puba, lord jamar, \| 4:26 row 2 : 2 \| "hunny" \| grant parks \| grand puba \| 4:04 row 3 : 3 \| "it is what it is" \| phd \| grand puba, tiffani davis \| 5:03 row 4 : 4 \| "how long?" \| elements \| grand puba \| 3:22 row 5 : 5 \| "good to go" \| q-tip \| grand puba, q-tip \| 3:53 row 6 : 6 \| "same old drama" \| large professor \| grand puba, large professor \| 1:29 row 7 : 7 \| "get that money" \| phd \| grand puba \| 3:29 row 8 : 8 \| "this joint right here" \| grand puba \| grand puba, kid capri \| 3:17 row 9 : 9 \| "go hard" \| grand puba \| grand puba, talee \| 3:35 row 10 : 10 \| "reality check" \| phd \| grand puba, sarah martine \| 3:09 row 11 : 11 \| "cold cold world" \| grand puba \| grand puba, khadija mo \| 3:31 row 12 : 12 \| "smile" \| big throwback \| grand puba, big phill \| 1:55 row 13 : 13 \| "the joint right here (remix)" \| grand puba \| grand puba, kid capri, lor \| 3:23 ] Execute this SQL based on the above table: select time where producer(s) = 'grand puba'	3:17, 3:35, 3:31, 3:23
[ header: # \| wrestlers \| reign \| date \| days held \| location \| notes row 1 : 1 \| kuishinbo kamen \| 1 \| january 4, 2001 \| 758 \| osaka, japan \| kamen defeated ebessan to row 2 : 2 \| ebessan \| 1 \| february 1, 2003 \| 56 \| osaka, japan \| None row 3 : 3 \| pero \| 1 \| march 29, 2003 \| 7 \| osaka, japan \| None row 4 : 4 \| ebessan \| 2 \| april 5, 2003 \| 92 \| osaka, japan \| None row 5 : 5 \| tigers mask \| 1 \| july 6, 2003 \| 90 \| osaka, japan \| None row 6 : None \| vacant \| None \| october 4, 2003 \| None \| None \| tigers mask vacated the title to row 7 : 6 \| miracle man \| 1 \| december 7, 2003 \| 55 \| osaka, japan \| miracle man won a 4-way match which included row 8 : 7 \| ebessan \| 3 \| january 31, 2004 \| 21 \| osaka, japan \| None row 9 : 8 \| kuishinbo kamen \| 2 \| february 21, 2004 \| 665 \| osaka, japan \| None row 10 : None \| stripped \| None \| december 17, 2005 \| None \| None \| kamen was stripped of the title due to row 11 : 9 \| policeman \| 1 \| february 18, 2006 \| 311 \| osaka, japan \| None row 12 : 10 \| okita-kun \| 1 \| february 26, 2006 \| 314 \| osaka, japan \| okita-kun won an eight row 13 : None \| vacant \| None \| january 6, 2007 \| None \| None \| okita-hun vacated row 14 : 11 \| sgt. suchi \| 1 \| february 12, 2007 \| 194 \| osaka, japan \| sgt. suchi is a row 15 : 12 \| ebessan iii \| 1 \| august 25, 2007 \| 113 \| osaka, japan \| None row 16 : 13 \| kuishinbo kamen \| 3 \| december 16, 2007 \| 84 \| tokyo, japan \| None row 17 : 14 \| miracle man \| 2 \| march 9, 2008 \| 51 \| tokyo, japan \| None row 18 : 15 \| kanjyuro matsuyama \| 1 \| april 29, 2008 \| 0 \| tokyo, japan \| matsuyama retires the title immediately after row 19 : 16 \| kuishinbo kamen \| 4 \| april 29, 2010 \| 59 \| osaka, japan \| kamen wins both the owarai championship row 20 : 17 \| kyusei ninja ranmar \| 1 \| june 27, 2010 \| 22 \| osaka, japan \| ranmaru wins both titles row 21 : 18 \| kuishinbo kamen \| 5 \| july 19, 2010 \| 1435 \| osaka, japan \| kamen wins both titles ] Execute this SQL based on the above table: select notes where reign > ( select reign where notes = 'kamen defeated ebessan to become the first champion' )	kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship, kamen wins both titles
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : uberlingen \| imperial city \| swab \| sw \| 1268 \| 1803: mediatized to baden row 2 : ulm \| 1155: free imperial city \| swab \| sw \| 1115 \| 1803: mediatized to bavaria row 3 : umpfenbach \| lordship 1805: hre \| None \| None \| None \| to trauttmansdorff row 4 : unterwalden \| imperial valley \| None \| None \| 1415 \| division into nidwalden and row 5 : upper salm \| 1163: county \| None \| None \| 1170 \| partitioned from salm 1499: raised row 6 : upper bavaria (oberbayern \| duchy \| None \| None \| 1255 \| None row 7 : upper schonburg \| county \| upp sax \| None \| 1569 \| partitioned from schonburg 1800: partitione row 8 : urach \| county \| None \| None \| None \| 1060: 1st mention of ur row 9 : uri \| imperial valley \| None \| None \| 1231 \| split off from habsburg 1648: left empire row 10 : ursberg \| 1143: hre abbey \| swab \| None \| None \| 1803; secularized row 11 : utrecht \| bishopric \| burg \| ec \| 1024 \| 1512: burgundian circle 1528 row 12 : uznach \| county \| None \| None \| None \| None ] Execute this SQL based on the above table: select abs ( ( select formed where type = 'bishopric' ) - ( select formed where type = '1155: free imperial city' ) )	91
[ header: outcome \| date \| tournament \| surface \| partnering \| opponent in the final \| score in the final row 1 : winner \| 29 apr 2002 \| $10,000 bournemouth, great britain \| clay \| anna hawkins \| ipek senoglu \| 6-0, 6-0 row 2 : runner-up \| 14 may 2002 \| $10,000 hatfield, great britain \| clay \| anna hawkins \| irina bulykina \| 6-4, 4-6, 6-7(8 row 3 : runner-up \| 25 nov 2002 \| $25,000 mount gambier, australia \| hard \| chanelle scheepers \| daniella dominikovic evie \| None row 4 : winner \| 12 oct 2004 \| $25,000 sunderland, great brita \| hard \| elena baltacha \| eva fislova stanislava \| 6-1, 4-6, 6-2 row 5 : winner \| 18 jan 2005 \| $10,000 tipton, great britain \| hard \| surina de beer \| katie o'brien \| 6-2, 6-4 row 6 : runner-up \| 10 jul 2006 \| $25,000 felixstowe, great \| grass \| sarah borwell \| trudi musgrave christ \| 2-6, 4-6 row 7 : winner \| 17 jul 2006 \| $10,000 frinton, great britain \| grass \| georgie stoop \| danielle brown ana cetnik \| 6-4, 4-6, 6-2 row 8 : runner-up \| 7 aug 2006 \| $10,000 wrexham, great b \| hard \| karen paterson \| lindsay cox anna hawkin \| 3-6, 3-6 row 9 : winner \| 22 aug 2006 \| $10,000 cumberland (london), great \| hard \| karen paterson \| laura peterzen emily web \| 6-3, 6-3 row 10 : runner-up \| 28 aug 2006 \| $10,000 mollerusa, spain \| hard \| karen paterson \| michaela johansson \| 3-6, 6-2, 3-6 row 11 : winner \| 14 mar 2007 \| $10,000 sunderland, great britain \| hard \| anna hawkins \| ria doernemann em \| 6-4, 6-7(5-7), 6-3 ] Execute this SQL based on the above table: select count ( * ) where date = '18 jan 2005'	1
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select count ( * ) where romney = '11,385' and others = 861	0
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select ecclesiastical province where latin name = 'menonguensis'	lubango
[ 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 executions in effigie - penanced where tribunal = 'las palmas'	0.0
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select city order by floors desc limit 1	toronto
[ header: week \| date \| opponent \| result \| record \| game site \| bye row 1 : 1 \| march 31, 2006 \| louisville fire \| w 45-37 \| 1-0 \| wachovia arena \| 0 row 2 : 2 \| None \| None \| None \| None \| None \| 1 row 3 : 3 \| april 14, 2006 \| albany conquest \| w 55-48 (ot) \| 2-0 \| times union center \| 0 row 4 : 4 \| april 21, 2006 \| south georgia wildcats \| w 36-33 \| 3-0 \| wachovia arena \| 0 row 5 : 5 \| april 29, 2006 \| manchester wolves \| w 62-47 \| 4-0 \| verizon wireless arena \| 0 row 6 : 6 \| may 5, 2006 \| green bay blizzard \| w 42-27 \| 5-0 \| wachovia arena \| 0 row 7 : 7 \| may 13, 2006 \| tulsa talons \| l 53-37 \| 5-1 \| wachovia arena \| 0 row 8 : 8 \| may 20, 2006 \| macon knights \| w 38-22 \| 6-1 \| macon coliseum \| 0 row 9 : 9 \| may 27, 2006 \| manchester wolves \| l 48-28 \| 6-2 \| wachovia arena \| 0 row 10 : 10 \| june 3, 2006 \| louisville fire \| w 51-48 \| 7-2 \| freedom hall \| 0 row 11 : 11 \| june 10, 2006 \| albany conquest \| l 73-70 \| 7-3 \| times union center \| 0 row 12 : 12 \| june 17, 2006 \| quad city steamwheelers \| w 55-52 \| 8-3 \| wachovia arena \| 0 row 13 : 13 \| june 24, 2006 \| green bay blizzard \| l 65-35 \| 8-4 \| resch center \| 0 row 14 : 14 \| None \| None \| None \| None \| None \| 1 row 15 : 15 \| july 8, 2006 \| florida firecats \| l 56-51 \| 8-5 \| wachovia arena \| 0 row 16 : 16 \| july 14, 2006 \| manchester wolves \| l 45-14 \| 8-6 \| verizon wireless arena \| 0 row 17 : 17 \| july 22, 2006 \| quad city steamwheelers \| l 55-34 \| 8-7 \| i wireless center \| 0 row 18 : 18 \| july 29, 2006 \| albany conquest \| w 54-27 \| 9-7 \| wachovia arena \| 0 ] Execute this SQL based on the above table: select bye order by week limit 1	0
[ header: date \| week (stage) \| song choice \| original artist \| theme \| result row 1 : 11 february 2011 \| week 1 (top 9) \| "just the way you are" \| bruno mars \| free choice \| safe row 2 : 18 february 2011 \| week 2 (top 8) \| "can't buy me love" \| the beatles \| the beatles songs \| safe row 3 : 25 february 2011 \| week 3 (top 7) \| "de første kæ \| tv.2 \| songs from the 2000s \| safe row 4 : 4 march 2011 \| week 4 (top 6) \| "numb" \| linkin park \| rock songs \| safe row 5 : 11 march 2011 \| week 5 (top 5) \| "hurt" \| christina aguilera \| free choice (with danish national chamber orchestra \| safe row 6 : 18 march 2011 \| week 6 (top 4) \| "dj got us fallin' in love \| usher feat. pitbull \| dj night with rune rk \| safe row 7 : 18 march 2011 \| week 6 (top 4) \| "baby" \| justin bieber \| free choice \| safe row 8 : 25 march 2011 \| week 7 (final 3) \| "the flood" \| take that \| joint song with guest take that performed jointly with the \| third row 9 : 25 march 2011 \| week 7 (final 3) \| "all the right moves" \| onerepublic \| free choice \| third row 10 : 25 march 2011 \| week 7 (final 3) \| "back to the 80s" \| aqua \| joint song with guest aqua \| third ] Execute this SQL based on the above table: select week (stage) where result = 'third'	week 7 (final 3), week 7 (final 3), week 7 (final 3)
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select count ( took office ) where # > 9	0
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select abs ( ( select age where contestant = 'lourdes rodriguez' ) - ( select age where contestant = 'marichelle julieta ruiz leone' ) )	1.0
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select national championship where zone is null	guyanese chess championship
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select driver where driver != 'graham hill' and constructor = ( select constructor where driver = 'graham hill' )	jim clark
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select release date where release date = 'aug 22, 2012'	aug 22, 2012, aug 22, 2012, aug 22, 2012
[ header: rank \| bib \| athlete \| country \| run 1 \| run 2 \| total \| behind row 1 : None \| 1 \| felix loch \| germany \| 48.133 (1) \| 48.242 (1) \| 1:36.375 \| None row 2 : None \| 4 \| andi langenhan \| germany \| 48.316 (2) \| 48.434 (4) \| 1:36.750 \| +0.375 row 3 : None \| 7 \| johannes ludwig \| germany \| 48.338 (3) \| 48.437 (5) \| 1:36.775 \| +0.400 row 4 : 4 \| 2 \| david moller \| germany \| 48.424 (4) \| 48.362 (3) \| 1:36.786 \| +0.411 row 5 : 5 \| 16 \| samuel edney \| canada \| 48.446 (5) \| 48.350 (2) \| 1:36.796 \| +0.421 row 6 : 6 \| 12 \| chris mazdzer \| united states \| 48.581 (8) \| 48.543 (6) \| 1:37.124 \| +0.749 row 7 : 7 \| 3 \| albert demtschenko \| russia \| 48.578 (7) \| 48.552 (7) \| 1:37.130 \| +0.755 row 8 : 8 \| 5 \| wolfgang kindl \| austria \| 48.573 (6) \| 48.596 (10) \| 1:37.169 \| +0.794 row 9 : 10 \| 13 \| daniel pfister \| austria \| 48.602 (9) \| 48.654 (13) \| 1:37.256 \| +0.881 row 10 : 12 \| 19 \| martins rubenis \| latvia \| 48.675 (11) \| 48.653 (12) \| 1:37.328 \| +0.953 row 11 : 13 \| 14 \| gregory carigiet \| switzerland \| 48.699 (14) \| 48.663 (14) \| 1:37.362 \| +0.987 row 12 : 14 \| 8 \| viktor kneyb \| russia \| 48.692 (12) \| 48.752 (18) \| 1:37.444 \| +1.069 row 13 : 15 \| 20 \| jozef ninis \| slovakia \| 48.757 (15) \| 48.692 (15) \| 1:37.449 \| +1.074 row 14 : 17 \| 21 \| taylor morris \| united states \| 48.763 (16) \| 48.780 (20) \| 1:37.543 \| +1.168 row 15 : 19 \| 25 \| ondrej hyman \| czech republic \| 48.894 (21) \| 48.709 (16) \| 1:37.603 \| +1.228 row 16 : 21 \| 11 \| reinhard egger \| austria \| 48.965 (25) \| 48.712 (17) \| 1:37.677 \| +1.302 row 17 : 25 \| 30 \| mitchel malyk \| canada \| 48.935 (24) \| 49.005 (25) \| 1:37.940 \| +1.565 row 18 : 27 \| 29 \| aleksandr peretjagin \| russia \| 48.995 (27) \| None \| 48.995 \| None row 19 : 30 \| 26 \| maciej kurowski \| poland \| 49.099 (30) \| None \| 49.099 \| None row 20 : 32 \| 33 \| andriy kis \| ukraine \| 49.201 (32) \| None \| 49.201 \| None row 21 : 35 \| 36 \| hidenari kanayama \| japan \| 49.584 (35) \| None \| 49.584 \| None row 22 : 37 \| 38 \| tilen sirse \| slovenia \| 50.001 (37) \| None \| 50.001 \| None row 23 : 38 \| 39 \| kim dong-hyeon \| south korea \| 50.375 (38) \| None \| 50.375 \| None row 24 : 41 \| 41 \| imre pulai \| hungary \| 52.512 (41) \| None \| 52.512 \| None ] Execute this SQL based on the above table: select country where athlete > ( select athlete where country = 'slovakia' ) order by athlete limit 1	south korea
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select country order by gdp growth, 2007-2011 (in %) limit 1	reunion (france)
[ header: airline \| destination(s) \| aircraft scheduled \| service date(s) \| comments row 1 : air florida \| new york jfk, tamp \| boeing 737-200, d \| jfk: 6/14/79 \| None row 2 : airtran airways \| atlanta, dayton, o \| boeing 737-200, d \| 11/14/1996-2/28/1998 \| None row 3 : air wisconsin \| akron-canton, chica \| bae 146, bae atp, \| None \| original and operating as united express row 4 : allegiant air \| las vegas \| md-80 \| 12/15/2005-4/24/2006 \| None row 5 : america west express \| columbus, flint \| beech 1900 \| None \| operated by mesa dba superior row 6 : american eagle airlines \| dallas/fort worth \| erj-145 \| None \| operated by simmons airlines (now american row 7 : atlantic coast airlines \| cincinnati \| dornier 328jet \| None \| dba delta connection row 8 : atlantic southeast airlines \| atlanta, cincinnati \| atr 72, crj-200, cr \| None \| dba delta connection row 9 : beaver aviation / bas airlines \| beaver falls (pa), d \| piper navajo \| early 1980s \| None row 10 : capital airlines \| akron, chicago, \| viscount, dc-3, d \| 1/8/1948-05-31-1961 \| merged with united. * at the time, row 11 : comair \| atlanta, cincinnati, colum \| piper chieftain, piper \| 1979, 01/03/1981-? \| original and as delta connection row 12 : continental express \| cleveland \| emb-120, beech 1900, dash \| None \| None row 13 : delta air lines \| atlanta, cincinnati, dayt \| convair 440, boeing 7 \| None \| None row 14 : eastern airlines \| columbus \| constellation l-1049g, locheed elect \| None \| None row 15 : liberty airlines \| chicago midway & o' \| convair 440 \| 02/1982-5/16/1983 \| plans for cmh, cle, s row 16 : piedmont airlines \| dayton \| boeing 727-200, boe \| None \| merged with usair ] Execute this SQL based on the above table: select count ( comments ) where destination(s) = 'atlanta, cincinnati, dayton, detroit, fort wayne'	0
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select count ( player ) where player = 'anthony hines'	1
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	5-0
[ 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 order by internl. tourism receipts. 2010 (usd (x1000) desc limit 1	mexico
[ header: squad # \| position \| player \| transferred to \| fee \| date row 1 : 20 \| df \| lau nim yat \| biu chun rangers \| free transfer \| 5 june 2012 row 2 : 16 \| mf \| leung chun pong \| guangdong sunray cave \| free transfer \| 12 june 2012 row 3 : 3 \| df \| yeo jee-hoon \| unattached (released) \| None \| 9 july 2012 row 4 : 8 \| mf \| xu deshuai \| sun pegasus \| free transfer (released) \| 9 july 2012 row 5 : 11 \| mf \| li haiqiang \| tuen mun \| free transfer (released) \| 9 july 2012 row 6 : 22 \| fw \| giovane alves da sil \| biu chun rangers \| free transfer (released) \| 9 july 2012 row 7 : 23 \| gk \| zhang chunhui \| sunray cave jc sun hei \| free transfer (released) \| 9 july 2012 row 8 : 26 \| mf \| chan pak hang \| sun pegasus \| free transfer (released) \| 9 july 2012 row 9 : 7 \| fw \| chan siu ki \| guangdong sunray cave \| free transfer (released) \| 10 july 2012 row 10 : None \| mf \| kot cho wai \| sunray cave jc sun hei \| undisclosed \| 16 july 2012 row 11 : 6 \| df \| wong chin hung \| biu chun rangers \| free transfer \| 9 january 2013 row 12 : 33 \| fw \| mauro rafael \| unattached (released) \| free transfer \| 1 february 2013 ] Execute this SQL based on the above table: select player order by squad # desc limit 1	mauro rafael da silva
[ header: season \| head coach \| conf. \| overall row 1 : 1940-41 \| henry swasey \| 3-5 \| 9-8 row 2 : 1941-42 \| henry swasey \| 0-8 \| 4-15 row 3 : 1942-43 \| henry swasey \| 2-6 \| 4-14 row 4 : 1945-46 \| henry swasey \| 0-4 \| 3-7 row 5 : 1946-47 \| ed stanczyk \| 0-5 \| 6-11 row 6 : 1947-48 \| ed stanczyk \| 2-5 \| 5-12 row 7 : 1948-49 \| ed stanczyk \| 2-6 \| 7-10 row 8 : 1949-50 \| ed stanczyk \| 1-5 \| 4-11 ] Execute this SQL based on the above table: select count ( * ) where head coach = 10	0
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select location order by id desc limit 1	new haven, connecticut
[ header: team \| truck(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : addington racing \| chevrolet silverado \| 60 \| travis kvapil \| cat rental stores \| mike addington \| rick ren row 2 : bobby hamilton racing \| dodge ram \| 4 \| brian rose \| perry connection \| debbie hamilton \| danny rollins row 3 : bobby hamilton racing \| dodge ram \| 8 \| bill lester (r) \| dodge dealers \| bobby hamilton \| kip mccord row 4 : circle bar racing \| ford f-150 \| 14 \| rick crawford \| circle bar motel & rv park \| tom mitchell \| ray stonkus row 5 : countryman motorsports \| ford f-150 \| 15 \| rich bickle \| dickies \| billy ballew \| craig osbourne row 6 : green light racing \| chevrolet silverado \| 8 \| bobby dotter \| people against drugs \| gene christensen \| doug howe row 7 : joe gibbs racing \| chevrolet silverado \| 20 \| coy gibbs \| mbna \| joe gibbs \| doug hewitt row 8 : k automotive racing \| ford f-150 \| 29 \| terry cook \| power stroke diesel \| kay keselowski \| bob keselowski row 9 : l&r racing \| chevrolet silverado \| 90 \| lance norick \| express personnel services \| ron norick \| gary showalter row 10 : morgan-dollar motorsports \| chevrolet silverado \| 46 \| dennis setzer \| acxiom/computer associate \| david dollar \| john monsam row 11 : portenga motorsports \| chevrolet silverado \| 39 \| steve portenga \| roto-rooter \| steve portenga \| george church row 12 : powers motorsports \| dodge ram \| 55 \| tom powers \| university of northwestern ohio \| sherri powers \| bryan berry row 13 : sealmaster racing \| chevrolet silverado \| 88 \| matt crafton \| sealmaster \| duke thorson \| jerry cook row 14 : spears motorsports \| chevrolet silverado \| 75 \| david starr \| spears manufacturing \| wayne spears \| dave mccarty row 15 : tagsby racing \| chevrolet silverado \| 73 \| loni richardson (r) \| intensitee/uti \| joey sonntag \| joey sonntag row 16 : team racing \| chevrolet silverado \| 86 \| dana white (r) \| red line oil/coverall carports \| phil bonifield \| bernie taft row 17 : troxell racing \| chevrolet silverado \| 93 \| jerry allec, jr \| None \| lonnie troxell \| lonnie troxell row 18 : ultra motorsports \| dodge ram \| 1 \| ted musgrave \| mopar \| jim smith \| gene nead row 19 : ultra motorsports \| dodge ram \| 2 \| jason leffler \| team ase racing \| marlene smith \| tim kohuth row 20 : ware racing enterprises \| dodge ram \| 5 \| lance hooper \| diamond cut jeans/blair5.com \| rick ware \| cal northrop row 21 : ware racing enterprises \| dodge ram \| 51 \| michael dokken \| ooida \| rick ware \| ken glen ] Execute this SQL based on the above table: select # where listed owner(s) = 'kay keselowski'	29.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( * ) where state/territory = 'bihar'	4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation < ( select nation where nation = 'chile (chi)' ) order by nation desc limit 1	canada (can)
[ header: round \| # \| player \| nationality \| college/junior/club team (league) row 1 : 1 \| 26 \| cory schneider (g) \| united states \| phillips academy (us high school) row 2 : 3 \| 91 \| alexander edler (d) \| sweden \| jamtland (sweden) row 3 : 4 \| 125 \| andrew sarauer (lw \| canada \| langley hornets (bch row 4 : 5 \| 159 \| mike brown (rw) \| united states \| university of michigan (ccha) row 5 : 6 \| 189 \| julien ellis (g) \| canada \| shawinigan cataractes (qm row 6 : 8 \| 254 \| david schulz (d) \| canada \| swift current broncos (whl row 7 : 9 \| 287 \| jannik hansen (rw \| denmark \| malmo jr. (sj ] Execute this SQL based on the above table: select count ( * ) where player = 'julien ellis (g)'	1

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[ header: year \| winner \| second \| third \| starters row 1 : 2013 \| new year's day \| havana \| strong mandate \| 13 row 2 : 2012 \| shanghai bobby \| he's had enough \| capo bastone \| 9 row 3 : 2011 \| hansen \| union rags \| creative cause \| 13 row 4 : 2010 \| uncle mo \| boys at toscanova \| rogue romance \| 11 row 5 : 2009 \| vale of york \| lookin at lucky \| noble's promise \| 13 row 6 : 2008 \| midshipman \| square eddie \| street hero \| 12 row 7 : 2007 \| war pass \| pyro \| kodiak kowboy \| 11 row 8 : 2006 \| street sense \| circular quay \| great hunter \| 14 row 9 : 2005 \| stevie wonderboy \| henny hughes \| first samurai \| 14 row 10 : 2004 \| wilko \| afleet alex \| sun king \| 8 row 11 : 2003 \| action this day \| minister eric \| chapel royal \| 12 row 12 : 2002 \| vindication \| kafwain \| hold that tiger \| 13 row 13 : 2001 \| johannesburg \| repent \| siphonic \| 12 row 14 : 2000 \| macho uno \| point given \| street cry \| 14 row 15 : 1999 \| anees \| chief seattle \| high yield \| 14 row 16 : 1998 \| answer lively \| aly's alley \| cat thief \| 13 row 17 : 1997 \| favorite trick \| dawson's legacy \| nationalore \| 8 row 18 : 1996 \| boston harbor \| acceptable \| ordway \| 10 row 19 : 1995 \| unbridled's song \| hennessy \| editor's note \| 13 row 20 : 1994 \| timber country \| eltish \| tejano run \| 13 row 21 : 1993 \| brocco \| blumin affair \| tabasco cat \| 11 row 22 : 1992 \| gilded time \| it'sali'lknownfact \| river special \| 13 row 23 : 1991 \| arazi \| bertrando \| snappy landing \| 14 row 24 : 1990 \| fly so free \| take me out \| lost mountain \| 11 row 25 : 1989 \| rhythm \| grand canyon \| slavic \| 12 row 26 : 1988 \| is it true \| easy goer \| tagel \| 10 row 27 : 1987 \| success express \| regal classic \| tejano \| 13 row 28 : 1986 \| capote \| qualify \| alysheba \| 13 row 29 : 1985 \| tasso \| storm cat \| scat dancer \| 13 row 30 : 1984 \| chief's crown \| tank's prospect \| spend a buck \| 10 ] Execute this SQL based on the above table: select winner where year = 2009	vale of york
[ header: # \| season \| competition \| date \| round \| opponent \| h / a \| result \| scorer (s) row 1 : 35 \| 2011 \| afc champions league \| 2011-03-02 \| group stage \| al-ain \| a \| 1-0 \| s : dejan damjanovic row 2 : 36 \| 2011 \| afc champions league \| 2011-03-15 \| group stage \| hangzhou greentown \| h \| 3-0 \| s : dejan damjanovic, row 3 : 37 \| 2011 \| afc champions league \| 2011-04-06 \| group stage \| nagoya grampus \| a \| 1-1 \| s : choi hy row 4 : 39 \| 2011 \| afc champions league \| 2011-05-04 \| group stage \| al-ain \| h \| 3-0 \| s : dejan damjanovic (2) row 5 : 41 \| 2011 \| afc champions league \| 2011-05-25 \| round of 16 \| kashima antlers \| h \| 3-0 \| s : bang seung-h row 6 : 42 \| 2011 \| afc champions league \| 2011-09-14 \| quarter-finals 1st leg \| al-ittihad \| a \| 1-3 \| s : choi ta row 7 : 43 \| 2011 \| afc champions league \| 2011-09-27 \| quarter-finals 2nd leg \| al-ittihad \| h \| 1-0 \| s : mauricio molina row 8 : 44 \| 2013 \| afc champions league \| 2013-02-26 \| group stage \| jiangsu sainty \| h \| 5-1 \| s : dejan damjanovic (2) row 9 : 45 \| 2013 \| afc champions league \| 2013-03-12 \| group stage \| buriram united \| a \| 0-0 \| None row 10 : 46 \| 2013 \| afc champions league \| 2013-04-02 \| group stage \| vegalta sendai \| h \| 2-1 \| s : sergio escudero row 11 : 48 \| 2013 \| afc champions league \| 2013-04-24 \| group stage \| jiangsu sainty \| a \| 2-0 \| s : koh myong row 12 : 49 \| 2013 \| afc champions league \| 2013-05-01 \| group stage \| buriram united \| h \| 2-2 \| s : jung seung-y row 13 : 50 \| 2013 \| afc champions league \| 2013-05-14 \| round of 16 1st leg \| beijing guoan \| a \| 0-0 \| None row 14 : 53 \| 2013 \| afc champions league \| 2013-09-18 \| quarter-finals 2nd leg \| al-ahli \| h \| 1-0 \| s : dejan damjanovic row 15 : 55 \| 2013 \| afc champions league \| 2013-10-02 \| semi-finals 2nd leg \| esteghlal \| a \| 2-2 \| s : ha dae-sung ] Execute this SQL based on the above table: select season where scorer (s) = 's : mauricio molina' and season = 2011	2011
[ header: year \| title \| album \| us r&b \| us pop \| us dance row 1 : 1989 \| "talk to myself"/sweet memories \| adventures in paradise a \| 4 \| 49 \| 18 row 2 : 1989 \| "promises, promises"/lover \| adventures in paradise a \| 7 \| None \| None row 3 : 1990 \| "one girl"/lover come back \| adventures in paradise a \| 31 \| None \| None row 4 : 1991 \| "i'm dreamin'" \| new jack city soundtrack \| 1 \| 89 \| 16 row 5 : 1991 \| "i wanna b ure lover" \| f.s. effect featuring christoph \| 52 \| None \| None row 6 : 1992 \| "all i see" \| changes \| 19 \| None \| 46 row 7 : 1993 \| "every little thing u do" \| changes \| 7 \| 75 \| None row 8 : 1993 \| "come go with me" \| changes \| 74 \| None \| None row 9 : 1995 \| "dance 4 me" \| not a perfect man \| 25 \| None \| None row 10 : 1995 \| "if you say" \| not a perfect man \| 91 \| None \| None ] Execute this SQL based on the above table: select title where id = ( select id where title = '"if you say"' ) - 1	"dance 4 me"
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select host where host in ( 'auburn university' , '2' ) order by rnd desc limit 1	auburn university
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v.league \| 7th (2000-01) \| 4th \| 10 \| 18 \| 9 \| 9 row 2 : v.league \| 8th (2001-02) \| 4th \| 9 \| 16 \| 14 \| 2 row 3 : v.league \| 9th (2002-03) \| 3rd \| 8 \| 21 \| 12 \| 9 row 4 : v.league \| 10th (2003-04) \| runner-up \| 10 \| 18 \| 13 \| 5 row 5 : v.league \| 11th (2004-05) \| 8th \| 10 \| 27 \| 11 \| 16 row 6 : v.league \| 12th (2005-06) \| 4th \| 10 \| 27 \| 20 \| 7 row 7 : v・premier \| 2006-07 \| 6th \| 10 \| 27 \| 11 \| 16 row 8 : v・premier \| 2007-08 \| champion \| 10 \| 27 \| 23 \| 4 row 9 : v・premier \| 2008-09 \| champion \| 10 \| 27 \| 20 \| 7 row 10 : v・premier \| 2009-10 \| champion \| 8 \| 28 \| 21 \| 7 row 11 : v・premier \| 2010-11 \| runner-up \| 8 \| 26 \| 19 \| 7 row 12 : v・premier \| 2011-12 \| champion \| 8 \| 21 \| 18 \| 3 row 13 : v・premier \| 2012-13 \| runner-up \| 8 \| 28 \| 20 \| 8 ] Execute this SQL based on the above table: select position order by league desc limit 1	6th
[ 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 ( driver ) where equipment = 'None'	0
[ header: rank \| city \| passengers \| ranking \| airline row 1 : 1 \| united states, los angeles \| 14749 \| None \| alaska airlines row 2 : 2 \| united states, houston \| 5465 \| None \| united express row 3 : 3 \| canada, calgary \| 3761 \| None \| air transat, westjet row 4 : 4 \| canada, saskatoon \| 2282 \| 4 \| None row 5 : 5 \| canada, vancouver \| 2103 \| None \| air transat row 6 : 6 \| united states, phoenix \| 1829 \| 1 \| us airways row 7 : 7 \| canada, toronto \| 1202 \| 1 \| air transat, canjet row 8 : 8 \| canada, edmonton \| 110 \| None \| None row 9 : 9 \| united states, oakland \| 107 \| None \| None ] Execute this SQL based on the above table: select rank where airline = 'air transat, westjet' order by rank asc limit 351	3
[ header: sheriff \| start of term row 1 : josiah hobart \| 1683 row 2 : john mulford \| 1701 row 3 : hugh gray \| 1702 row 4 : john brush \| 1710 row 5 : daniel youngs \| 1718 row 6 : samuel dayton \| 1723 row 7 : william sell \| 1728 row 8 : joseph smith \| 1730 row 9 : david corrie \| 1731 row 10 : jacob conklin \| 1734 row 11 : thomas higbe \| 1740 row 12 : james muirson \| 1774 row 13 : thomas wickes \| 1785 row 14 : silas halsey \| 1787 row 15 : thomas wickes \| 1791 row 16 : phinaes carll \| 1799 row 17 : josiah reeve \| 1803 row 18 : phinaes smith \| 1807 row 19 : josiah reeve \| 1808 row 20 : benjamin brewster \| 1810 row 21 : josiah reeve \| 1811 row 22 : benjamin brewster \| 1812 row 23 : nathaniel conklin \| 1814 row 24 : josiah reeve \| 1815 row 25 : samuel smith \| 1826 row 26 : abraham gardiner \| 1829 row 27 : richard smith \| 1832 row 28 : silas horton \| 1835 row 29 : samuel miller \| 1838 row 30 : david brush \| 1841 row 31 : henry penny \| 1844 row 32 : david rose \| 1847 row 33 : john clark \| 1850 row 34 : samuel phillips \| 1855 row 35 : george carman \| 1856 row 36 : daniel osborn \| 1862 row 37 : george smith \| 1868 row 38 : j. henry perkins \| 1871 row 39 : egbert lewis \| 1874 row 40 : george cooper \| 1877 row 41 : robert petty \| 1888 row 42 : selah brewster \| 1883 row 43 : henry halsey \| 1886 row 44 : robert petty \| 1888 row 45 : a. m. darling \| 1891 row 46 : benjamin wood \| 1897 row 47 : j. sheridan wells \| 1900 row 48 : henry preston \| 1903 row 49 : john wells \| 1906 row 50 : charles platt \| 1909 row 51 : melville brush \| 1912 row 52 : d. henry brown \| 1913 row 53 : charles o'dell \| 1914 row 54 : john kelly \| 1920 row 55 : amza biggs \| 1923 row 56 : burton howe \| 1926 row 57 : ellis taylor \| 1929 row 58 : joseph warta \| 1932 row 59 : william mccollom \| 1935 row 60 : jacob dreyer \| 1938 row 61 : john levy \| 1941 row 62 : william mccollom \| 1942 row 63 : charles dominy \| 1957 row 64 : frank gross \| 1962 row 65 : philip corso \| 1970 row 66 : donald dilworth \| 1976 row 67 : john finnerty \| 1977 row 68 : eugene dooley \| 1986 row 69 : patrick mahoney \| 1990 row 70 : alfred c. tisch \| 2002 row 71 : vincent f. demarco \| 2006 ] Execute this SQL based on the above table: select start of term order by start of term desc limit 1	2006
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 4 \| ric converse \| 1 \| july 20, 2002 \| 231 \| graham, north carolina \| payback (2002) \| None row 2 : 6 \| xsiris \| 1 \| november 8, 2003 \| 161 \| burlington, north carolina \| live event \| in november 2003, the title was row 3 : 7 \| geestar \| 1 \| april 17, 2004 \| 70 \| burlington, north carolina \| live event \| None row 4 : 10 \| mitch connor \| 1 \| september 17, 2005 \| 112 \| burlington, north carolina \| live event \| None row 5 : 11 \| rob mcbride \| 1 \| january 7, 2006 \| 133 \| burlington, north carolina \| live event \| None row 6 : 12 \| michael mcallister \| 1 \| may 20, 2006 \| 70 \| burlington, north carolina \| live event \| None row 7 : 13 \| brass munkey \| 1 \| july 29, 2006 \| 154 \| burlington, north carolina \| cwf championship wrestling \| None row 8 : 14 \| steve greene \| 1 \| december 30, 2006 \| 168 \| burlington, north carolina \| battlecade vii (2006) \| None row 9 : 17 \| tank lawson \| 1 \| may 17, 2008 \| 112 \| burlington, north carolina \| revelation (2008) \| None row 10 : 18 \| marcellus king \| 1 \| september 6, 2008 \| 133 \| burlington, north carolina \| sumner civitans superbrawl \| None row 11 : 19 \| lee valiant \| 2 \| january 17, 2009 \| 273 \| burlington, north carolina \| night of challenges (2009) \| None row 12 : 20 \| joey silva \| 1 \| october 17, 2009 \| 77 \| burlington, north carolina \| cwf rumble (2009) \| None row 13 : 21 \| lee valiant \| 3 \| january 2, 2010 \| 14 \| burlington, north carolina \| battlecade x (2010) \| this was a no-disqualification row 14 : 22 \| roy wilkins \| 1 \| february 6, 2010 \| 133 \| burlington, north carolina \| title turmoil (2010) \| wilkins defeated arik royal to row 15 : 23 \| arik royal \| 1 \| june 19, 2010 \| 182 \| burlington, north carolina \| absolute justice iv (2010) \| None row 16 : 24 \| ray kandrack \| 1 \| december 18, 2010 \| 168 \| burlington, north carolina \| battlecade xi (2010) \| None row 17 : 25 \| steve greene \| 3 \| june 4, 2011 \| 0 \| burlington, north carolina \| title turmoil (2011) \| greene announced his retirement after the win, row 18 : 26 \| ray kandrack \| 2 \| june 19, 2011 \| 179 \| burlington, north carolina \| absolute justice 5 (2011) \| kandrack defeated jason miller to row 19 : 27 \| donnie dollar$ \| 1 \| december 15, 2011 \| 282 \| burlington, north carolina \| battlecade 12 (2011) \| None row 20 : 28 \| trevor lee \| 1 \| september 22, 2012 \| 641 \| burlington, north carolina \| converse vs. king (2012) \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'None'	0
[ header: year \| team \| gp \| gs \| mpg \| fg% \| 3p% \| ft% \| rpg \| apg \| spg \| bpg \| ppg row 1 : 1993-94 \| golden state \| 76 \| 76 \| 32.1 \| 0.552 \| 0 \| 0.532 \| 9.1 \| 3.6 \| 1.2 \| 2.2 \| 17.5 row 2 : 1994-95 \| washington \| 54 \| 52 \| 38.3 \| 0.495 \| 0.276 \| 0.502 \| 9.6 \| 4.7 \| 1.5 \| 1.6 \| 20.1 row 3 : 1995-96 \| washington \| 15 \| 15 \| 37.2 \| 0.543 \| 0.441 \| 0.594 \| 7.6 \| 5 \| 1.8 \| 0.6 \| 23.7 row 4 : 1996-97 \| washington \| 72 \| 72 \| 39 \| 0.518 \| 0.397 \| 0.565 \| 10.3 \| 4.6 \| 1.7 \| 1.9 \| 20.1 row 5 : 1997-98 \| washington \| 71 \| 71 \| 39.6 \| 0.482 \| 0.317 \| 0.589 \| 9.5 \| 3.8 \| 1.6 \| 1.7 \| 21.9 row 6 : 1998-99 \| sacramento \| 42 \| 42 \| 40.9 \| 0.486 \| 0.118 \| 0.454 \| 13 \| 4.1 \| 1.4 \| 2.1 \| 20 row 7 : 1999-00 \| sacramento \| 75 \| 75 \| 38.4 \| 0.483 \| 0.284 \| 0.751 \| 10.5 \| 4.6 \| 1.6 \| 1.7 \| 24.5 row 8 : 2000-01 \| sacramento \| 70 \| 70 \| 40.5 \| 0.481 \| 0.071 \| 0.703 \| 11.1 \| 4.2 \| 1.3 \| 1.7 \| 27.1 row 9 : 2001-02 \| sacramento \| 54 \| 54 \| 38.4 \| 0.495 \| 0.263 \| 0.749 \| 10.1 \| 4.8 \| 1.7 \| 1.4 \| 24.5 row 10 : 2002-03 \| sacramento \| 67 \| 67 \| 39.1 \| 0.461 \| 0.238 \| 0.607 \| 10.5 \| 5.4 \| 1.6 \| 1.3 \| 23 row 11 : 2003-04 \| sacramento \| 23 \| 23 \| 36.1 \| 0.413 \| 0.2 \| 0.711 \| 8.7 \| 4.6 \| 1.3 \| 0.9 \| 18.7 row 12 : 2004-05 \| sacramento \| 46 \| 46 \| 36.3 \| 0.449 \| 0.379 \| 0.799 \| 9.7 \| 5.5 \| 1.5 \| 0.7 \| 21.3 row 13 : 2004-05 \| philadelphia \| 21 \| 21 \| 33.4 \| 0.391 \| 0.267 \| 0.776 \| 7.9 \| 3.1 \| 1.2 \| 0.9 \| 15.6 row 14 : 2005-06 \| philadelphia \| 75 \| 75 \| 38.6 \| 0.434 \| 0.273 \| 0.756 \| 9.9 \| 3.4 \| 1.4 \| 0.8 \| 20.2 row 15 : 2006-07 \| philadelphia \| 18 \| 18 \| 30.2 \| 0.387 \| 0.4 \| 0.643 \| 8.3 \| 3.4 \| 1 \| 0.8 \| 11 row 16 : 2006-07 \| detroit \| 43 \| 42 \| 29.7 \| 0.489 \| 0.333 \| 0.636 \| 6.7 \| 3 \| 1 \| 0.6 \| 11.3 row 17 : 2007-08 \| golden state \| 9 \| 8 \| 14 \| 0.484 \| 0 \| 0.417 \| 3.6 \| 2 \| 0.4 \| 0.7 \| 3.9 row 18 : career \| None \| 831 \| 827 \| 37.1 \| 0.479 \| 0.299 \| 0.649 \| 9.8 \| 4.2 \| 1.4 \| 1.4 \| 20.7 row 19 : all-star \| None \| 4 \| 4 \| 19 \| 0.371 \| 0.333 \| 0.375 \| 6 \| 3.3 \| 1 \| None \| 7.5 ] Execute this SQL based on the above table: select abs ( ( select mpg where team = 'sacramento' ) - ( select mpg where team = 'philadelphia' ) )	7.5
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select team where year = ( select year where team = 'buf' ) + 1	buf
[ header: pick # \| nfl team \| player \| position \| college row 1 : 81 \| philadelphia eagles \| paul fanning \| back \| kansas state row 2 : 82 \| brooklyn dodgers \| ed nowogrowski \| back \| university of washington row 3 : 83 \| chicago cardinals \| dwight hafeli \| back \| washington (st. louis) row 4 : 84 \| new york giants \| dwight scheyer \| end \| washington state row 5 : 85 \| pittsburgh pirates \| matt patanelli \| tackle \| michigan row 6 : 86 \| boston redskins \| bill docherty \| guard \| temple row 7 : 87 \| detroit lions \| larry kelley \| guard \| yale row 8 : 88 \| chicago bears \| al guepe \| end \| marquette row 9 : 89 \| green bay packers \| gordon dahlgren \| guard \| michigan state row 10 : 90 \| cleveland rams \| ray johnson \| tackle \| denver ] Execute this SQL based on the above table: select count ( player ) where position > 1765	10
[ header: school year \| class a \| class aa \| class aaa \| class aaaa \| class aaaaa row 1 : 1994-95 \| menard \| van alstyne \| cameron yoe \| wichita falls \| weslaco row 2 : 1995-96 \| era \| coahoma \| colorado city \| livingston \| duncanville row 3 : 1996-97 \| sulphur bluff \| marion \| colorado city \| snyder \| duncanville row 4 : 1997-98 \| westbrook \| edgewood \| perryton \| san angelo lake view \| flower mound marcus row 5 : 1998-99 \| graford \| lindsay \| hamshire-fannett \| brownwood \| weslaco row 6 : 1999-2000 \| garden city \| keene \| giddings \| friendswood \| college station a&m consolidated row 7 : 2000-01 \| granger \| edgewood \| midland greenwood \| friendswood \| college station a&m consolidated row 8 : 2001-02 \| lazbuddie \| edgewood \| giddings \| friendswood \| pasadena dobie row 9 : 2002-03 \| rocksprings \| rosebud-lott \| pearsall \| harlingen south \| san antonio clark row 10 : 2003-04 \| lazbuddie \| wall \| hamshire-fannett \| friendswood \| klein row 11 : 2004-05 \| loop \| mount pleasant chapel hill \| llano \| sherman \| college station a&m consolidated row 12 : 2005-06 \| wellington \| centerville \| hamshire-fannett \| brownwood \| abilene cooper row 13 : 2006-07 \| springlake-earth \| crawford \| princeton \| friendswood \| college station a&m consolidated row 14 : 2007-08 \| springlake-earth \| grandview \| hamshire-fannett \| sherman \| mission sharyland row 15 : 2008-09 \| garden city \| shelbyville \| lubbock-cooper \| friendswood \| humble kingwood ] Execute this SQL based on the above table: select count ( class a ) + count ( class aa )	30
[ header: year \| film \| function \| notes row 1 : 2002 \| the bacchae \| producer \| screen adaptation of euripides' classic row 2 : 2004 \| shakespeare's merchant \| producer \| adaptation of shakespeare's the merchant row 3 : 2004 \| the trojan women \| producer/actress \| documentary film of brad mays' 2003 los row 4 : 2007 \| schooled \| co-producer \| None row 5 : 2008 \| sing*ularity \| producer \| documentary about the world-famous operaworks row 6 : 2008 \| the watermelon \| producer \| oddball romantic comedy, written by michae row 7 : 2008 \| the audacity of democracy \| producer \| documentary film of the 2008 democratic presidential primary, shot row 8 : 2011 \| customer diss-service \| co-producer \| web series directed by brad mays and row 9 : 2012 \| beginning blue \| producer, writer \| feature film about an all-girl rock band determined row 10 : 2012 \| the donut shop \| co-producer \| comedy short directed by brad mays, and row 11 : 2013 \| i grew up in princeton \| producer \| feature documentary directed by brad mays ] Execute this SQL based on the above table: select function where function != 'co-producer' order by year desc limit 1	producer
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia \| 3 \| 0 \| 2 \| 5 row 2 : 2 \| italy \| 1 \| 1 \| 0 \| 2 row 3 : 3 \| finland \| 0 \| 1 \| 0 \| 1 row 4 : 3 \| germany \| 0 \| 1 \| 0 \| 1 row 5 : 3 \| switzerland \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| france \| 0 \| 0 \| 1 \| 1 row 7 : 6 \| georgia \| 0 \| 0 \| 1 \| 1 row 8 : None \| total \| 4 \| 4 \| 4 \| 12 ] Execute this SQL based on the above table: select nation order by rank desc limit 1	france
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select bronze order by id desc limit 1	urszula włodarczyk (pol)
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| kaija mustonen \| finland \| 2:22.4 \| or row 2 : None \| carry geijssen \| netherlands \| 2:22.7 \| None row 3 : None \| stien kaiser \| netherlands \| 2:24.5 \| None row 4 : 4 \| sigrid sundby-dy \| norway \| 2:25.2 \| None row 5 : 5 \| lasma kauniste \| soviet union \| 2:25.4 \| None row 6 : 6 \| kaija-liisa \| finland \| 2:25.8 \| None row 7 : 7 \| lyudmila titova \| soviet union \| 2:26.8 \| None row 8 : 8 \| ruth schleiermacher \| east germany \| 2:27.1 \| None row 9 : 9 \| christina lindblom-scher \| sweden \| 2:27.5 \| None row 10 : 9 \| hildegard sellhuber \| west germany \| 2:27.5 \| None row 11 : 11 \| lidiya skoblikova \| soviet union \| 2:27.6 \| None row 12 : 12 \| ans schut \| netherlands \| 2:28.3 \| None row 13 : 13 \| dianne holum \| united states \| 2:28.5 \| None row 14 : 14 \| martine ivangine \| france \| 2:29.9 \| None row 15 : 14 \| kari karing \| norway \| 2:29.9 \| None row 16 : 16 \| jeanne ashworth \| united states \| 2:30.3 \| None row 17 : 17 \| lisbeth korsmo \| norway \| 2:30.7 \| None row 18 : 18 \| christina karlsson \| sweden \| 2:31.4 \| None row 19 : 18 \| sachiko saito \| japan \| 2:31.4 \| None row 20 : 20 \| ylva hedlund \| sweden \| 2:31.5 \| None row 21 : 21 \| doreen mccannell \| canada \| 2:32.2 \| None row 22 : 22 \| arja kantola \| finland \| 2:33.2 \| None row 23 : 23 \| kaname ide \| japan \| 2:34.2 \| None row 24 : 24 \| marcia parsons \| canada \| 2:34.4 \| None row 25 : 25 \| jeanne omelenchuk \| united states \| 2:35.5 \| None row 26 : 26 \| jitsuko saito \| japan \| 2:36.6 \| None row 27 : 27 \| kim gwi-jin \| south korea \| 2:36.7 \| None row 28 : 28 \| marie-louise perrenou \| france \| 2:39.2 \| None row 29 : 29 \| patricia demartini \| france \| 2:40.6 \| None row 30 : 30 \| paula dufter \| west germany \| 2:45.2 \| None ] Execute this SQL based on the above table: select rank where rank = 4	4.0
[ header: no \| driver \| entrant \| constructor \| chassis \| engine \| tyre row 1 : 2 \| johnny claes \| ecurie belge \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 2 : 6 \| yves giraud-cab \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 3 : 8 \| louis rosier \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 4 : 10 \| henri louveau \| ecurie rosier \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 5 : 12 \| george abecassis \| hw motors \| hwm-alta \| hwm 51 \| alta 1.5 l4s \| d row 6 : 16 \| peter whitehead \| scuderia ferrari \| ferrari \| ferrari 125 \| ferrari 125 f1 1.5 v \| d row 7 : 18 \| luigi villoresi \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 8 : 20 \| alberto ascari \| scuderia ferrari \| ferrari \| ferrari 375 \| ferrari type 375 4.5 v12 \| p row 9 : 22 \| nino farina \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 10 : 24 \| juan manuel fangio \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 11 : 26 \| toulo de graffenried \| alfa romeo spa \| alfa romeo \| alfa romeo 159a \| alfa romeo 1.5 l8 \| p row 12 : 30 \| louis chiron \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 13 : 32 \| harry schell \| enrico plate \| maserati \| maserati 4clt-48 \| maserati 4 cl 1.5 \| p row 14 : 40 \| guy mairesse \| yves giraud-cab \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 15 : 42 \| jose froilan gonzal \| jose froilan gonzal \| talbot-lago \| talbot-lago t26c \| talbot 23cv 4.5 l \| d row 16 : 48 \| maurice trintignant \| equipe gordini \| simca-gordini \| simca-gordini t \| simca-gordini 15c \| e row 17 : 52 \| peter hirt \| peter hirt \| veritas \| veritas meteor \| veritas 2.0 l6 \| None ] Execute this SQL based on the above table: select tyre where tyre in ( 'd' , 'd' ) order by no desc limit 1	d
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select driver where grid < 8	jo bonnier, jack brabham, masten gregory, jean behra, graham hill, stirling moss, harry schell
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season )	10
[ header: title \| year \| director \| budget \| gross (worldwide) \| notes row 1 : dead ringers \| 1988 \| david cronenberg \| None \| $8,038,508 \| None row 2 : coupe de ville \| 1990 \| joe roth \| None \| $715,983 \| None row 3 : nightbreed \| 1990 \| clive barker \| $11 million \| $8,862,354 \| None row 4 : freejack \| 1992 \| geoff murphy \| $30 million \| $17,129,000 \| None row 5 : white sands \| 1992 \| roger donaldson \| $25 million \| $9,011,574 \| None row 6 : stay tuned \| 1992 \| peter hyams \| None \| $10,736,401 \| None row 7 : the last of the mohicans \| 1992 \| michael mann \| $40 million \| $75,505,856 \| None row 8 : chasers \| 1994 \| dennis hopper \| $15 million \| $1,596,687 \| None row 9 : trial by jury \| 1994 \| heywood gould \| None \| $6,971,777 \| None row 10 : silent fall \| 1994 \| bruce beresford \| $30 million \| $3,180,674 \| None row 11 : ace ventura: when nature calls \| 1995 \| steve oedekerk \| $30 million \| $212,385,533 \| None row 12 : two if by sea \| 1996 \| bill bennett \| None \| $10,658,278 \| None row 13 : wild america \| 1997 \| william dear \| None \| $7,324,662 \| None row 14 : incognito \| 1998 \| john badham \| None \| None \| None row 15 : wrongfully accused \| 1998 \| pat proft \| None \| $9,623,329 \| None row 16 : the king and i \| 1999 \| richard rich \| $25 million \| $11,993,021 \| None row 17 : chill factor \| 1999 \| hugh johnson \| $70 million \| $11,263,966 \| None row 18 : liberty heights \| 1999 \| barry levinson \| $11 million \| $3,736,868 \| None row 19 : battlefield earth \| 2000 \| roger christian \| $44 million \| $29,725,663 \| None row 20 : the art of war \| 2000 \| christian duguay \| $60 million \| $40,400,425 \| None row 21 : get carter \| 2000 \| stephen kay \| $63.6 million \| $19,412,993 \| None row 22 : the in crowd \| 2000 \| mary lambert \| $15 million \| $5,217,498 \| None row 23 : the pledge \| 2001 \| sean penn \| $35 million \| $29,419,291 \| None row 24 : angel eyes \| 2001 \| luis mandoki \| $53 million \| $29,715,606 \| None row 25 : i'll be there \| 2003 \| craig ferguson \| None \| None \| None row 26 : exorcist: the beginning \| 2004 \| renny harlin \| $80 million \| $78,000,586 \| None row 27 : two for the money \| 2005 \| d. j. caruso \| $25 million \| $30,526,509 \| None row 28 : georgia rule \| 2007 \| garry marshall \| $20 million \| $25,992,167 \| None row 29 : sydney white \| 2007 \| joe nussbaum \| None \| $13,620,075 \| None row 30 : ace ventura jr: pet detective \| 2009 \| david mickey evans \| $7.5 million \| None \| None row 31 : dream house \| 2011 \| jim sheridan \| $50 million \| $38,502,340 \| None row 32 : the thing \| 2011 \| matthijs van heijningen \| $38 million \| $27,428,670 \| None row 33 : tupac \| 2014 \| antoine fuqua \| $45 million \| None \| None ] Execute this SQL based on the above table: select count ( title ) where year = 0	0
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select ( select time where women's winner = 'ann rindt (ned)' ) > ( select time where women's winner = 'valentina poltavskaya (rus)' )	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 bike where bike != 'honda cbr1000rr' and pos = 8 and laps = 22	suzuki gsx-r1000 k6
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select count ( event ) where event = '110 m hurdles' and venue = 'manila, philippines'	1
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place in ( '4th' , 'None' ) order by tier desc limit 1	4th
[ header: \| landmark name \| location \| summary row 1 : 1 \| flagpole \| the flagpole was once located at 10 s \| flagpole erected in 1941 by del row 2 : 2 \| water pump station and water tower \| northeastern corner of the junction of innovation and \| None row 3 : 3 \| ammo bunker (s-1007) \| southwest of vosler dr. (formerly \| built by del e. webb construction row 4 : 4 \| ammo bunker (s-1008) \| southwest of vosler dr. (formerly \| also built by del e. webb row 5 : 5 \| civil engineering maintenance shop \| northeastern corner of unity ave. \| built by del e. webb construction row 6 : 6 \| demountable hangar \| located at the north apron of \| built in 1925 and designed by webb, de row 7 : 7 \| housing storage supply warehouse \| northwestern corner of the junction of innovation and unity \| built by del e. webb construction ] Execute this SQL based on the above table: select location group by location having count ( * ) = 1	located at the north apron of phoenix-mesa gateway airport in the grounds which once were part of williams air force base. 33°18′40′′n 111°40′11′′w / 33.31111°n 111.66972°w, northeastern corner of the junction of innovation and unity aves. (once known as the jct. of 12th and b sts.) at arizona state university at the polytechnic campus in the grounds that once were part of williams air force base. 33°18′17′′n 111°40′51′′w / 33.30472°n 111.68083°w, northeastern corner of unity ave. (once known as jct. of 11th and a sts.), at arizona state university at the polytechnic campus in the grounds that once were part of williams air force base. 33°18′14′′n 111°40′45′′w / 33.30389°n 111.67917°w, northwestern corner of the junction of innovation and unity aves. (once known as jct. of 11th and a sts.), at arizona state university at the polytechnic campus in the grounds that once belonged to williams air force base. 33°18′14′′n 111°40′49′′w / 33.30389°n 111.68028°w, southwest of vosler dr. (formerly alaska drive), at arizona state university at the polytechnic campus in the grounds that once was a part of williams air force base. 33°17′39′′n 111°40′40′′w / 33.29417°n 111.67778°w, southwest of vosler dr. (formerly alaska drive), at arizona state university at the polytechnic campus in the grounds that once was a part of williams air force base. 33°17′43′′n 111°40′43′′w / 33.29528°n 111.67861°w, the flagpole was once located at 10 st. between d and e sts. at williams air force base. it is now located at the entrance of the phoenix-mesa gateway airport which is located on the grounds which once belonged to williams afb. 33°18′25′′n 111°40′45′′w / 33.30694°n 111.67917°w
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1998 \| wolverhampton wanderers \| h \| 0-2 \| 7521 \| None row 2 : 29 august 1998 \| grimsby town \| h \| 0-0 \| 5587 \| None row 3 : 31 august 1998 \| barnsley \| a \| 0-1 \| 15328 \| None row 4 : 6 september 1998 \| portsmouth \| h \| 3-0 \| 6626 \| marsh, windass (2, 1 pen) row 5 : 9 september 1998 \| swindon town \| a \| 1-4 \| 8305 \| banger row 6 : 19 september 1998 \| sunderland \| a \| 0-7 \| 34567 \| None row 7 : 26 september 1998 \| queens park rangers \| h \| 4-1 \| 7489 \| beauchamp, murphy, thom row 8 : 10 october 1998 \| tranmere rovers \| h \| 1-2 \| 5862 \| windass row 9 : 17 october 1998 \| bolton wanderers \| a \| 1-1 \| 17064 \| thomson row 10 : 31 october 1998 \| crewe alexandra \| h \| 1-1 \| 5607 \| windass row 11 : 21 november 1998 \| port vale \| h \| 2-1 \| 5964 \| windass (pen), powell row 12 : 5 december 1998 \| bradford city \| h \| 0-1 \| 5969 \| None row 13 : 19 december 1998 \| stockport county \| a \| 0-2 \| 6500 \| None row 14 : 28 december 1998 \| portsmouth \| a \| 2-2 \| 12604 \| banger (2) row 15 : 9 january 1999 \| bristol city \| h \| 0-0 \| 9434 \| None row 16 : 30 january 1999 \| barnsley \| h \| 1-0 \| 6174 \| windass row 17 : 6 february 1999 \| wolverhampton wanderers \| a \| 1-1 \| 20811 \| windass row 18 : 13 february 1999 \| swindon town \| h \| 2-0 \| 8179 \| windass (2, 1 pen) row 19 : 27 february 1999 \| sunderland \| h \| 0-0 \| 9044 \| None row 20 : 3 march 1999 \| queens park rangers \| a \| 0-1 \| 9040 \| None row 21 : 9 march 1999 \| huddersfield town \| h \| 2-2 \| 6034 \| cook, beauchamp row 22 : 13 march 1999 \| watford \| h \| 0-0 \| 8137 \| None row 23 : 20 march 1999 \| crewe alexandra \| a \| 1-3 \| 4791 \| thomson row 24 : 26 march 1999 \| sheffield united \| a \| 2-1 \| 14115 \| thomson, banger row 25 : 3 april 1999 \| bolton wanderers \| h \| 0-0 \| 7547 \| None row 26 : 5 april 1999 \| tranmere rovers \| a \| 2-2 \| 7837 \| weatherstone, gilchrist row 27 : 17 april 1999 \| port vale \| a \| 0-1 \| 7393 \| None row 28 : 24 april 1999 \| norwich city \| h \| 2-4 \| 7345 \| wilsterman, francis row 29 : 1 may 1999 \| bradford city \| a \| 0-0 \| 15064 \| None row 30 : 9 may 1999 \| stockport county \| h \| 5-0 \| 6830 \| gilchrist, powell, beauch ] Execute this SQL based on the above table: select count ( * ) where scorers > 1238	17
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select river order by serial number desc limit 1	chimmini dam
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select album where id = 1	non-album singles
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select level order by administrative area desc limit 1	prefecture-level city
[ header: pick # \| nfl team \| player \| position \| college row 1 : 183 \| tampa bay buccaneers \| parnell dickinson \| quarterback \| mississippi valley state row 2 : 184 \| seattle seahawks \| dick dixon \| defensive tackle \| arkansas state row 3 : 185 \| miami dolphins \| joe ingersoll \| guard \| unlv row 4 : 186 \| dallas cowboys \| greg schaum \| defensive tackle \| michigan state row 5 : 187 \| cincinnati bengals \| bob bateman \| quarterback \| brown row 6 : 188 \| new york jets \| abdul salaam \| defensive end \| kent state row 7 : 189 \| cleveland browns \| steve cassidy \| defensive tackle \| louisiana state row 8 : 190 \| chicago bears \| jerry muckensturm \| linebacker \| arkansas state row 9 : 191 \| philadelphia eagles \| carl hairston \| defensive end \| maryland-eastern shore row 10 : 192 \| cincinnati bengals \| carmen rome \| defensive back \| miami (oh) row 11 : 193 \| atlanta falcons \| karl farmer \| wide receiver \| pittsburgh row 12 : 194 \| san francisco 49ers \| jay chesley \| defensive back \| vanderbilt row 13 : 195 \| buffalo bills \| jackie williams \| defensive back \| texas a&m row 14 : 196 \| kansas city chiefs \| rod wellington \| running back \| iowa row 15 : 197 \| houston oilers \| larry harris \| defensive tackle \| oklahoma state row 16 : 198 \| detroit lions \| garth ten napel \| linebacker \| texas a&m row 17 : 199 \| new york jets \| james richards \| running back \| florida row 18 : 200 \| miami dolphins \| john owens \| defensive end \| tennessee state row 19 : 201 \| new orleans saints \| ed bauer \| guard \| notre dame row 20 : 202 \| new england patriots \| perry brooks \| defensive tackle \| southern row 21 : 203 \| st. louis cardinals \| phil rogers \| running back \| virginia tech row 22 : 204 \| oakland raiders \| clarence chapman \| wide receiver \| eastern michigan row 23 : 205 \| cincinnati bengals \| ken kuhn \| linebacker \| ohio state row 24 : 206 \| minnesota vikings \| larry brune \| defensive back \| rice row 25 : 207 \| los angeles rams \| larry buie \| defensive back \| mississippi state row 26 : 208 \| dallas cowboys \| david williams \| running back \| colorado row 27 : 209 \| pittsburgh steelers \| barry burton \| tight end \| vanderbilt ] Execute this SQL based on the above table: select count ( nfl team ) where pick # != 188	26
[ header: date and time \| opponent \| location \| notes row 1 : 26 june 1918, 2035 hrs \| pfalz d.ii \| east of albert, somme \| None row 2 : 13 july 1918, 0857 hrs \| albatros d.v \| poperinghe \| None row 3 : 3 august 1918, 0930 hrs \| fokker d.vii \| southeast of ostend \| None row 4 : 13 august 1918, 1352 hrs \| fokker d.vii \| north of roye, somme \| flown by lothar von richthofen row 5 : 2 september 1918, 1150 hrs \| fokker d.vii \| south of rumaucourt \| None row 6 : 5 september 1918, 1720 hrs \| fokker d.vii \| saint-quentin, aisne \| None row 7 : 15 september 1918, 1050 hrs \| fokker d.vii \| epinoy \| None row 8 : 17 september 1918, 1300 hrs \| fokker d.vii \| epinoy \| None row 9 : 24 september 1918, 0728 hrs \| fokker d.vii \| west of cambrai \| None row 10 : 26 september 1918, 1325 hrs \| fokker d.vii \| east of bourlon wood \| None row 11 : 27 september 1918, 0920 hrs \| halberstadt (unspecified c \| noyelles-sous-lens \| None row 12 : 28 october 1918, 1205 \| fokker d.vii \| villers-pol \| shared with lt. jesse ] Execute this SQL based on the above table: select location where location != 'epinoy' and opponent = ( select opponent where location = 'epinoy' )	southeast of ostend, north of roye, somme, south of rumaucourt, saint-quentin, aisne lake, west of cambrai, east of bourlon wood, villers-pol
[ header: year \| film \| director \| producer \| writer \| notes row 1 : 1953 \| the sea around us \| yes \| yes \| yes \| documentary academy award for best documentary feature row 2 : 1954 \| dangerous mission \| None \| yes \| None \| None row 3 : 1956 \| the animal world \| yes \| yes \| yes \| documentary row 4 : 1957 \| the story of mankind \| yes \| yes \| yes \| documentary row 5 : 1960 \| the big circus \| None \| yes \| yes \| None row 6 : 1960 \| the lost world \| yes \| yes \| yes \| None row 7 : 1961 \| voyage to the bottom of the sea \| yes \| yes \| yes \| None row 8 : 1962 \| five weeks in a balloon \| yes \| yes \| yes \| None row 9 : 1972 \| the poseidon adventure \| yes \| yes \| None \| directed action sequences only nominated-gold row 10 : 1974 \| the towering inferno \| None \| yes \| None \| nominated-academy award for best row 11 : 1978 \| the swarm \| yes \| yes \| None \| None row 12 : 1979 \| beyond the poseidon adventure \| yes \| yes \| None \| None row 13 : 1980 \| when time ran out \| None \| yes \| None \| None row 14 : 1983 \| cave-in! \| None \| yes \| None \| None ] Execute this SQL based on the above table: select year where year in ( '1961' , 'None' ) order by year desc limit 1	1961
[ header: first issued \| design \| slogan \| serial format \| serials issued \| notes row 1 : 1955 \| white embossed digits with white border \| "grand canyon state" embossed in white \| a-12345 \| None \| coded by county of issuance row 2 : 1958 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to bzz \| None row 3 : 1960 \| blue embossed digits with blue border \| grand canyon state embossed in blue and \| abc-123 \| caa-001 to dzz-999 \| None row 4 : 1963 \| white embossed digits with white border \| grand canyon state embossed in white and \| abc-123 \| eaa-001 to fzz \| None row 5 : 1965 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| haa-001 to jzz-999 \| None row 6 : 1968 \| black embossed digits with black border \| grand canyon state embossed in black and \| abc-123 \| kaa-001 to nzz- \| None row 7 : 1972 \| green embossed digits with green border \| grand canyon state embossed in green and \| abc-123 \| paa-001 to wzz-999 \| None row 8 : 1980 \| white embossed digits with white emb \| grand canyon state embossed in white and \| abc-123 \| aaa-001 to nzz \| None row 9 : 1996 \| dark green embossed digits on \| grand canyon state in dark green thin plain letters at \| 123·abc \| 101·aaa to 999·z \| awarded "plate of the year" for best new row 10 : 2008 \| dark green screened digits on screened \| grand canyon state in dark green thin plain letters at \| abc1234 \| aaa0001 to present \| None ] Execute this SQL based on the above table: select count ( serials issued ) where slogan = 'grand canyon state embossed in white and centered at bottom'	3
[ header: tenure \| coach \| years \| record \| pct. \| ncaa tournament row 1 : 1933 \| sam mcallister \| 1 \| 5-4-0 \| 0.556 \| None row 2 : 1934 \| herschel bobo \| 1 \| None \| None \| None row 3 : 1934-1939 \| del morgan \| 6 \| None \| None \| None row 4 : 1940 \| porter grant \| 1 \| 4-5-0 \| 0.444 \| None row 5 : 1941-1942 \| jimmy hitchcock \| 2 \| None \| None \| None row 6 : 1943-1946 \| bob evans \| 2 \| None \| None \| None row 7 : 1947-1948 \| danny doyle \| 2 \| None \| None \| None row 8 : 1949-1950 \| johnny williamson \| 2 \| 21-23-0 \| 0.477 \| None row 9 : 1951-1957 \| dick mcgowen \| 7 \| 90-76-2 \| 0.548 \| None row 10 : 1958 \| joe connally \| 1 \| 17-8-0 \| 0.68 \| None row 11 : 1959-1962 \| erk russell \| 4 \| 59-37-1 \| 0.62 \| None row 12 : 1963-1984 \| paul nix \| 22 \| 515-376-0 \| 0.578 \| 4 row 13 : 1985-2000 \| hal baird \| 16 \| 634-328-0 \| 0.659 \| 9 row 14 : 2001-2004 \| steve renfroe \| 4 \| 145-92-0 \| 0.612 \| 3 row 15 : 2005-2008 \| tom slater \| 4 \| 115-113-0 \| 0.504 \| 1 row 16 : 2009-2013 \| john pawlowski \| 5 \| 167-126 \| 0.57 \| 1 row 17 : 2014-present \| sunny golloway \| 1 \| 17-8-0 \| 0.68 \| 0 row 18 : totals \| 16 coaches \| 81 \| None \| None \| 18 ] Execute this SQL based on the above table: select coach where ncaa tournament < ( select ncaa tournament where coach = 'john pawlowski' ) order by ncaa tournament desc limit 1	sunny golloway
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation order by id desc limit 1	saint kitts and nevis
[ header: model \| origin \| type \| version \| in service \| notes row 1 : am general hmmwv \| united states \| light utility vehicle \| m998a1 m1038 \| None \| divided into several variants and series, including armor row 2 : maxi-ambulance \| united states \| light utility vehicle \| m997a2 \| 19 \| 23 delivered to afp on nov row 3 : m939 truck \| united states \| heavy utility vehicle \| m923 m929 m \| >20 0 0 0 0 \| 20 m923 delivered in 2010, several more row 4 : m35 truck \| united states \| heavy utility vehicle \| m35a1 m35a2 \| None \| divided into several variants and series, in service row 5 : mitsubishi fuso fighter \| japan \| light utility vehicle \| fk troop carrier \| None \| locally sourced row 6 : cmc cruiser \| philippines \| 1/4-ton light utility vehicle \| standard \| None \| limited production run, introduced in the mid-1990 row 7 : delta mini cruiser \| philippines \| 1/4-ton light utility vehicle \| m1777 \| None \| divided into several variants and series, including short row 8 : m151 \| united states \| 1/4-ton light utility vehicle \| m151 \| None \| in service row 9 : mitsubishi l200 \| japan \| light utility vehicle \| l200 \| None \| used by military police row 10 : km-50 series \| republic of korea \| heavy utility vehicle \| km-500 km-503 \| 6 12 \| km-500 as 155mm artillery row 11 : km-25 series \| republic of korea \| medium utility vehicle \| km-250 \| <250 \| in service. some units received by other armed row 12 : km-45 series \| republic of korea \| light utility vehicle \| km-450 \| 727 \| 651 purchased by afp on 2007 row 13 : km-45 series \| republic of korea \| field ambulance \| km-451 \| 48 \| 60 purchased by afp in 2012, ] Execute this SQL based on the above table: select count ( * )	13
[ header: type \| stage \| cyclist \| team \| reason row 1 : dnf \| 2 \| remi pauriol \| cofidis \| broken collarbone row 2 : dns \| 3 \| jose angel gomez marchante \| cervelo testteam \| broken arm sustained from crash in stage 2 row 3 : dns \| 3 \| daniel martin \| garmin-slipstream \| illness row 4 : dns \| 3 \| joost posthuma \| rabobank \| illness row 5 : dnf \| 3 \| matteo bono \| lampre-ngc \| None row 6 : dnf \| 3 \| anthony charteau \| caisse d'epargne \| None row 7 : dns \| 4 \| sylvain calzat \| agritubel \| None row 8 : dns \| 4 \| bradley wiggins \| garmin-slipstream \| death in the family row 9 : dnf \| 4 \| jussi veikkanen \| francaise des jeux \| None row 10 : dns \| 5 \| inigo cuesta \| cervelo testteam \| None row 11 : dns \| 5 \| enrico franzoi \| liquigas \| None row 12 : dnf \| 5 \| steven cozza \| garmin-slipstream \| None row 13 : dnf \| 5 \| philippe gilbert \| silence-lotto \| None row 14 : dnf \| 5 \| brian vandborg \| liquigas \| None row 15 : dns \| 6 \| jelle vanendert \| silence-lotto \| None row 16 : dnf \| 6 \| jose luis arrieta \| ag2r-la mondiale \| None row 17 : dnf \| 6 \| sebastien chavanel \| francaise des jeux \| None row 18 : dnf \| 6 \| simon spilak \| lampre-ngc \| None row 19 : dnf \| 6 \| thomas voeckler \| bbox bouygues telecom \| shoulder injury sustained from crash row 20 : dns \| 7 \| sebastian langeveld \| rabobank \| None row 21 : dnf \| 7 \| samuel sanchez \| euskaltel-euskad \| None row 22 : dnf \| 7 \| mickael cherel \| francaise des jeux \| None row 23 : dnf \| 7 \| thomas fothen \| team milram \| None row 24 : dnf \| 7 \| marcel sieberg \| team columbia-high road \| None row 25 : dnf \| 7 \| tom veelers \| skil-shimano \| None row 26 : dnf \| 7 \| mickael buffaz \| cofidis \| None row 27 : dnf \| 7 \| javier aramendia \| euskaltel-euskad \| None row 28 : dnf \| 7 \| romain feillu \| agritubel \| None ] Execute this SQL based on the above table: select count ( type ) where stage = 0	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 max ( # )	7.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select count ( nation )	14
[ header: institution \| city \| state \| team name \| affiliation \| enrollment \| home conference row 1 : augustana college (illinois) \| rock island \| illinois \| vikings \| private/lutheran \| 2500 \| cciw row 2 : aurora university \| aurora \| illinois \| spartans \| private/non-sectarian \| 1685 \| northern row 3 : beloit college \| beloit \| wisconsin \| buccaneers \| private/non-sectarian \| 1300 \| midwest row 4 : benedictine university \| lisle \| illinois \| eagles \| private/catholic \| 3282 \| northern row 5 : carthage college \| kenosha \| wisconsin \| red men \| private/lutheran \| 2188 \| cciw row 6 : concordia university wisconsin \| mequon \| wisconsin \| falcons \| private/lutheran \| 1608 \| northern row 7 : university of dubuque \| dubuque \| iowa \| spartans \| private/presbyterian \| 1559 \| iiac row 8 : elmhurst college \| elmhurst \| illinois \| bluejays \| private/united church of christ \| 3400 \| cciw row 9 : fontbonne university \| st. louis \| missouri \| griffins \| private/catholic \| 2924 \| sliac row 10 : college of mount st. josep \| cincinnati \| ohio \| lions \| private/catholic \| 1334 \| hcac row 11 : north central college \| naperville \| illinois \| cardinals \| private/methodist \| 2900 \| cciw ] Execute this SQL based on the above table: select affiliation where enrollment < ( select enrollment where affiliation = 'private/presbyterian' ) order by enrollment desc limit 1	private/catholic
[ 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 abs ( isbn - contents ) where title = 'volume 2'	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select count ( nation ) where nation = 'saudi arabia (ksa)'	1
[ header: name \| area \| height \| floors \| year row 1 : ratan planet \| opp. alimco, \| 90 metres (295 ft) \| 16 \| 2013 row 2 : the landmark hotel \| near navin market, mall road, downtown \| 80 metres (262 ft) \| 14 \| 2000 row 3 : ratan orbit \| mukherjee vihar, \| 70 metres (230 ft) \| 14 \| 2011 row 4 : bsnl tower \| opp. resrve bank \| 65 metres (213 ft) \| 15 \| 2001 row 5 : som business square (el mart) \| mega mall crossing, the mall, downtown \| 80 metres (262 ft) \| 15 \| 2005 row 6 : akashganga heights \| city bypass, chakeri \| 60 metres (197 ft) \| 15 \| 1995 row 7 : krishna tower \| opp. green park stadium, parw \| 48 metres (157 ft) \| 10 \| 2003 ] Execute this SQL based on the above table: select ( select floors where name = 'akashganga heights' ) - ( select sum ( floors ) where name != 'akashganga heights' )	-69.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select album where notes = 'compilation of tracks from both albums, remixed' group by album having count ( * ) = 1	goodbye mr. mackenzie
[ header: no. \| date \| home team \| visiting team \| goals \| score \| result \| venue \| competition row 1 : 2 \| 25 mar 1992 \| scotland \| finland \| 41' 1-1 \| 1-1 \| draw \| hampden park, glasgow \| friendly row 2 : 3 \| 13 oct 1993 \| sweden \| finland \| 60' 3-2 \| 3-2 \| loss \| rasunda stadium, stockhol \| 1994 fifa world cup qualification row 3 : 5 \| 16 nov 1994 \| finland \| faroe islands \| 53' 2-0 72' 3-0 \| 5-0 \| win \| helsinki olym \| uefa euro 1996 qualifying row 4 : 7 \| 11 jun 1995 \| finland \| greece \| 45+1' 1-1 (pen.) \| 2-1 \| win \| helsinki olym \| uefa euro 1996 qualifying row 5 : 9 \| 2 feb 1997 \| turkey \| finland \| 17' 0-1 \| 1-1 \| draw \| ataturk stadium, denizli \| friendly row 6 : 12 \| 6 sep 1997 \| switzerland \| finland \| 16' 0-1 \| 1-2 \| win \| stade olympique de la pont \| 1998 fifa world cup qualification row 7 : 13 \| 14 oct 1998 \| turkey \| finland \| 90+6' 1-3 \| 1-3 \| win \| ali sami yen stadium, \| uefa euro 2000 qualifying row 8 : 14 \| 29 mar 2000 \| wales \| finland \| 21' 0-1 \| 1-2 \| win \| millennium stadium, cardiff \| friendly row 9 : 15 \| 16 aug 2000 \| finland \| norway \| 24' 1-0 61' 2-1 \| 3-1 \| win \| finnair stadium, helsink \| 2000-01 nordic football championship row 10 : 17 \| 2 sep 2000 \| finland \| albania \| 45 ' 1-0 \| 2-1 \| win \| finnair stadium, helsink \| 2002 fifa world cup qualification row 11 : 18 \| 15 aug 2001 \| finland \| belgium \| 3-0 (pen.) \| 4-1 \| win \| helsinki olym \| friendly row 12 : 20 \| 27 mar 2002 \| portugal \| finland \| 41' 1-3 53' 1-4 \| 1-4 \| win \| estadio do bessa \| friendly row 13 : 22 \| 30 apr 2003 \| finland \| iceland \| 55' 1-0 (pen.) \| 3-0 \| win \| pohjola stadion, my \| friendly row 14 : 23 \| 31 apr 2004 \| malta \| finland \| 86' 0-2 \| 1-2 \| win \| ta' qali national stadium, \| friendly row 15 : 25 \| 26 mar 2005 \| czech republic \| finland \| 46 ' 2-1 \| 4-3 \| loss \| na stinadle \| 2006 fifa world cup qualification row 16 : 27 \| 2 sep 2006 \| poland \| finland \| 54' 0-1 76' 0 \| 1-3 \| win \| zdzisław k \| uefa euro 2008 qualifying row 17 : 29 \| 6 feb 2008 \| finland \| greece \| 66' 1-0 \| 1-2 \| loss \| neo gsp stadium, \| friendly ] Execute this SQL based on the above table: select result where score = '3-1'	win
[ header: result \| record \| opponent \| method \| date \| round \| time \| event \| location \| notes row 1 : win \| 14-1 \| ted lascalza \| ko \| 1958 \| 1 \| None \| None \| None \| None row 2 : win \| None \| nick welling \| ko \| july 20, 1953 \| 2 \| None \| None \| None \| None row 3 : win \| None \| earl garrett \| ko \| 1950 \| 1 \| None \| golden gloves \| new jersey \| scheider suffers nose injury; drops out row 4 : win \| None \| peter read \| ko \| 1950 \| 3 \| None \| None \| new jersey \| None row 5 : win \| None \| phillip duncan \| ko \| february 17, 1950 \| 1 \| None \| None \| orange, new jersey \| None row 6 : win \| None \| myron greenberg \| ko \| 1950 \| 1 \| None \| None \| new jersey \| None row 7 : win \| None \| peter read \| ko \| february 21, 1948 \| 2 \| None \| golden gloves \| new jersey \| None row 8 : win \| None \| jerry gould \| ko \| 1948 \| 1 \| 0:33 \| golden gloves \| new jersey \| None row 9 : win \| None \| alfonse d'amore \| ko \| 1948 \| 1 \| 0:16 \| golden gloves \| new jersey \| None row 10 : loss \| 0-1 \| myron greenberg \| tko \| march 5, 1947 \| 2 \| None \| golden gloves \| new jersey \| scheider's nose is broken ] Execute this SQL based on the above table: select date order by round asc limit 1	1958
[ header: code \| county \| former province \| area (km2) \| population census 2009 \| capital row 1 : 1 \| mombasa \| coast \| 212.5 \| 939370 \| mombasa (city) row 2 : 2 \| kwale \| coast \| 8270.3 \| 649931 \| kwale row 3 : 3 \| kilifi \| coast \| 12245.9 \| 1109735 \| kilifi row 4 : 4 \| tana river \| coast \| 35375.8 \| 240075 \| hola row 5 : 5 \| lamu \| coast \| 6497.7 \| 101539 \| lamu row 6 : 6 \| taita-tavet \| coast \| 17083.9 \| 284657 \| voi row 7 : None \| totals \| None \| 79686.1 \| 3325307 \| None ] Execute this SQL based on the above table: select capital order by former province desc limit 1	mombasa (city)
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select # where opponent = 'mets'	91.0, 92.0
[ header: # \| event year \| season \| flag bearer row 1 : 10 \| 2012 \| summer \| nino salukvadze row 2 : 9 \| 2010 \| winter \| iason abramashvili row 3 : 8 \| 2008 \| summer \| ramaz nozadze row 4 : 7 \| 2006 \| winter \| vakhtang murvanidze row 5 : 6 \| 2004 \| summer \| zurab zviadauri row 6 : 5 \| 2002 \| winter \| sofia akhmeteli row 7 : 4 \| 2000 \| summer \| giorgi asanidze row 8 : 3 \| 1998 \| winter \| sofia akhmeteli row 9 : 2 \| 1996 \| summer \| giorgi k'andel row 10 : 1 \| 1994 \| winter \| zurab dzhidzhishvil ] Execute this SQL based on the above table: select count ( season ) where flag bearer = 'ramaz nozadze'	1
[ header: date \| team \| name \| position \| years in nba \| notes row 1 : april 23, 2009 \| houston rockets \| dikembe mutombo \| c \| 18 \| suffered a season-ending injury row 2 : may 21, 2009 \| free agent \| sam cassell \| g \| 15 \| became an assistant coach of the wizards row 3 : september 3, 2009 \| free agent \| bruce bowen \| f \| 12 \| None row 4 : october 22, 2009 \| free agent \| mark madsen \| f \| 9 \| became an assistant coach of the uta row 5 : october 23, 2009 \| free agent \| bobby jackson \| g \| 12 \| None row 6 : october 23, 2009 \| free agent \| tyronn lue \| g \| 11 \| became the director of basketball development of the celtics row 7 : november 5, 2009 \| free agent \| darrick martin \| g \| 14 \| named assistant director of player development of timberwolves ] Execute this SQL based on the above table: select name where years in nba = 9	mark madsen
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| the super destroyers (a.j. pe \| 1 \| 23-jun-92 \| 283 \| philadelphia, pa \| live event \| petrucci and stahl won the titles row 2 : 9 \| kevin sullivan and the \| 1 \| 4-dec-93 \| 92 \| philadelphia, pa \| hardcore tv #35 \| defeat dreamer and shane dou row 3 : 12 \| the public enemy \| 2 \| 5-nov-94 \| 91 \| philadelphia, pa \| november to remember (1994) \| None row 4 : 15 \| the public enemy \| 3 \| 8-apr-95 \| 83 \| philadelphia, pa \| three way dance \| also def. rick steiner ( row 5 : 16 \| raven and stevie richards \| 1 \| 30-jun-95 \| 78 \| jim thorpe, pa \| hardcore tv #115 \| aired 7-4-95 on t row 6 : 17 \| the pitbulls (pitbull #1 and pit \| 1 \| 16-sep-95 \| 21 \| philadelphia, pa \| gangsta's paradise \| None row 7 : 25 \| the dudley boyz (buh bu \| 1 \| 15-mar-97 \| 29 \| philadelphia, pa \| hostile city showdown \| aired 3/20/97 on hardcore row 8 : 26 \| the eliminators \| 3 \| 13-apr-97 \| 68 \| philadelphia, pa \| barely legal \| None row 9 : 30 \| the gangstanators (kronus \| 1 \| 20-sep-97 \| 28 \| philadelphia, pa \| as good as it gets \| aired 9-27-97 on row 10 : 31 \| full blooded italians (little gui \| 1 \| 18-oct-97 \| 48 \| philadelphia, pa \| hardcore tv #236 \| aired 11-1-97 on t row 11 : 32 \| doug furnas and phil \| 1 \| 5-dec-97 \| 1 \| waltham, ma \| live event \| None row 12 : 35 \| the dudley boyz \| 4 \| 24-oct-98 \| 8 \| cleveland, oh \| hardcore tv #288 \| aired 10-28-98 on t row 13 : 37 \| the dudley boyz \| 5 \| 6-nov-98 \| 37 \| new york, ny \| hardcore tv #290 \| aired 11-11-98 on t row 14 : 40 \| spike dudley and balls mahoney \| 1 \| 18-jul-99 \| 26 \| dayton, oh \| heat wave (1999) \| None row 15 : 43 \| the dudley boyz \| 8 \| 26-aug-99 \| 0 \| new york, ny \| ecw on tnn# \| aired 9-3-99 on t row 16 : 44 \| tommy dreamer (2) and raven (3) \| 1 \| 26-aug-99 \| 136 \| new york, ny \| ecw on tnn# \| aired 9-3-99 on t row 17 : 46 \| tommy dreamer (3) and masato \| 1 \| 26-feb-00 \| 7 \| cincinnati, oh \| hardcore tv #358 \| aired 3-7-00 on t ] Execute this SQL based on the above table: select wrestlers order by # desc limit 1	tommy dreamer (3) and masato tanaka (2)
[ 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 place order by season limit 1	2nd
[ header: date \| competition \| home team \| score \| away team \| score row 1 : 16 october 2004 \| powergen cup \| bedford \| None \| tabard \| None row 2 : 15 february 2005 \| national division one \| bedford \| 26 \| otley \| 13 row 3 : 19 february 2005 \| national division one \| bedford \| 16 \| london welsh \| 17 row 4 : 26 february 2005 \| national division one \| sedgley park \| 12 \| bedford \| 23 row 5 : 12 march 2005 \| national division one \| bedford \| 23 \| cornish pirates \| 28 row 6 : 2 april 2005 \| national division one \| bedford \| 39 \| plymouth albion \| 21 row 7 : 9 april 2005 \| national division one \| birmingham solihull \| 18 \| bedford \| 29 ] Execute this SQL based on the above table: select home team order by score desc limit 1	bedford
[ 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 home ground where home ground in ( 'barlow park' , 'purtell park' ) and qld cup premierships = 'nil' order by first year in qld cup desc limit 1	barlow park
[ header: round \| round \| circuit \| date \| pole position \| fastest lap \| winning driver \| winning team \| winning privateer row 1 : 1 \| r1 \| mantorp park \| 10 may \| mattias ekstrom \| fredrik ekblom \| mats linden \| kristoffersson motorsport \| richard goransson row 2 : 1 \| r2 \| mantorp park \| 10 may \| None \| peggen andersson \| fredrik ekblom \| bmw dealer team \| pontus morth row 3 : 2 \| r3 \| karlskoga-gellera \| 31 may \| jan nilsson \| jan nilsson \| jan nilsson \| flash engineering \| pontus morth row 4 : 2 \| r4 \| karlskoga-gellera \| 31 may \| None \| fredrik ekblom \| peggen andersson \| bmw dealer team \| pontus morth row 5 : 3 \| r5 \| anderstorp \| 28 june \| mattias ekstrom \| fredrik ekblom \| jan nilsson \| flash engineering \| pontus morth row 6 : 3 \| r6 \| anderstorp \| 28 june \| None \| peggen andersson \| peggen andersson \| bmw dealer team \| georg bakajev row 7 : 4 \| r7 \| falkenberg \| 9 july \| jens edman \| jens edman \| jan nilsson \| flash engineering \| pontus morth row 8 : 4 \| r8 \| falkenberg \| 9 july \| None \| mattias ekstrom \| jens edman \| flash engineering \| pontus morth row 9 : 5 \| r9 \| ring knutstorp \| 6 september \| fredrik ekblom \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 10 : 5 \| r10 \| ring knutstorp \| 6 september \| None \| mats linden \| jan nilsson \| flash engineering \| georg bakajev row 11 : 6 \| r11 \| mantorp park \| 27 september \| tommy kristoffersson \| fredrik ekblom \| fredrik ekblom \| bmw dealer team \| pontus morth row 12 : 6 \| r12 \| mantorp park \| 27 september \| None \| peggen andersson \| jan nilsson \| flash engineering \| pontus morth ] Execute this SQL based on the above table: select pole position order by round asc limit 1	mattias ekstrom
[ header: city \| country (noc) \| round 1 \| run-off \| round 3 \| round 4 \| round 5 row 1 : athens \| greece \| 32 \| None \| 38 \| 52 \| 66 row 2 : rome \| italy \| 23 \| None \| 28 \| 35 \| 41 row 3 : cape town \| south africa \| 16 \| 62 \| 22 \| 20 \| None row 4 : stockholm \| sweden \| 20 \| None \| 19 \| None \| None row 5 : buenos aires \| argentina \| 16 \| 44 \| None \| None \| None ] Execute this SQL based on the above table: select count ( country (noc) )	5
[ 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 # where id = 3	t3
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select ( select attendance where archive of presentations = 'presentations, videos' ) - ( select attendance where archive of presentations = 'presentations, videos' )	0.0
[ header: genre \| year \| title \| episode \| role \| notes row 1 : short film \| 1992 \| the bet \| None \| henry \| 21 minutes row 2 : short film \| 1996 \| sin #8 \| None \| None \| None row 3 : tv series \| 1997 \| nothing sacred \| "speaking in tongues" \| dr. elliott \| None row 4 : film \| 1998 \| finding north \| None \| travis furlong \| None row 5 : tv series \| 1998 \| sex and the city \| "oh come all ye faithful" \| tom \| None row 6 : tv series \| 1999 \| homicide: life on the street \| "zen and the art of murder" \| dennis kohler \| None row 7 : film \| 1999 \| the general's daughter \| None \| captain goodson \| None row 8 : tv series \| 2000 \| law & order: special victims unit \| "misleader" "nocturne" \| assistant district attorney \| None row 9 : film \| 2001 \| the anniversary party \| None \| jerry adams \| None row 10 : tv series \| 2001 \| the guardian \| "loyalties" \| the hudson's attorney \| None row 11 : tv film \| 2001 \| life with judy garland: me and \| None \| roger edens \| None row 12 : tv series \| 2002 \| hack \| "obsession" \| dr. martin shan \| None row 13 : tv series \| 2005 \| law & order \| "mammon" \| aaron solomon \| 5 episodes total row 14 : tv series \| 2006 \| brothers & sisters \| "light the lights" \| major guinness \| None row 15 : tv series \| 2006 \| justice \| "wrongful death" \| lloyd barrett \| None row 16 : tv series \| 2006 \| law & order \| "profiteer" \| aaron solomon \| 5 episodes total row 17 : tv series \| 2007 \| critical situation \| "nightmare on mt. \| narrator \| voice actor; also known as situation critical row 18 : tv series \| 2007 \| undercover history \| "the hunt for hitler" "the hunt \| narrator \| voice actor; 6 episodes total row 19 : tv series \| 2008 \| undercover history \| "unabomber: the secret history" \| narrator/himself \| voice actor; 6 episodes total row 20 : film \| 2009 \| the taking of pelham 123 \| None \| deputy mayor lasalle \| None row 21 : tv series \| 2009 \| timewatch \| "the real bonnie and clyde \| narrator \| voice actor row 22 : tv series \| 2010 \| the big c \| "pilot" "summer time" "there \| sean tolkey \| 36 episodes total row 23 : tv series \| 2011 \| a gifted man \| "in case of exposure" \| ben tucker \| None row 24 : tv series \| 2011 \| the good wife \| "great firewall" \| neil gross \| 3 episodes total row 25 : tv series \| 2012 \| the big c \| "thin ice" "what's \| sean tolkey \| 36 episodes total ] Execute this SQL based on the above table: select role group by role order by count ( * ) desc limit 1	narrator
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 9, 2009 \| @ portland lumberjax \| rose garden \| w 12-10 \| None \| 6859 \| 1-0 row 2 : 2 \| january 10, 2009 \| portland lumberjax \| pepsi center \| l 5-14 \| None \| 16987 \| 1-1 row 3 : 3 \| january 24, 2009 \| edmonton rush \| pepsi center \| l 9-11 \| None \| 16734 \| 1-2 row 4 : 4 \| january 31, 2009 \| new york titans \| pepsi center \| w 12-8 \| None \| 15023 \| 2-2 row 5 : 5 \| february 7, 2009 \| @ minnesota swarm \| xcel energy center \| w 13-8 \| None \| 11174 \| 3-2 row 6 : 6 \| february 14, 2009 \| calgary roughnecks \| pepsi center \| w 13-12 \| None \| 17712 \| 4-2 row 7 : 7 \| february 21, 2009 \| @ san jose stealth \| hp pavilion at san jose \| l 9-14 \| None \| 5576 \| 4-3 row 8 : 8 \| february 22, 2009 \| @ edmonton rush \| rexall place \| l 9-10 \| None \| 7249 \| 4-4 row 9 : 9 \| march 14, 2009 \| @ san jose stealth \| hp pavilion at san jose \| w 14-11 \| None \| 3535 \| 5-4 row 10 : 10 \| march 21, 2009 \| @ calgary roughnecks \| pengrowth saddledome \| l 10-13 \| None \| 10958 \| 5-5 row 11 : 11 \| march 22, 2009 \| minnesota swarm \| pepsi center \| w 13-11 \| None \| 15594 \| 6-5 row 12 : 12 \| march 28, 2009 \| @ philadelphia wings \| wachovia center \| l 13-17 \| None \| 11876 \| 6-6 row 13 : 13 \| april 3, 2009 \| rochester knighthawks \| pepsi center \| l 8-12 \| None \| 16834 \| 6-7 row 14 : 14 \| april 4, 2009 \| @ portland lumberjax \| rose garden \| l 12-13 \| ot \| 7859 \| 6-8 row 15 : 15 \| april 11, 2009 \| san jose stealth \| pepsi center \| l 10-11 \| ot \| 16189 \| 6-9 row 16 : 16 \| april 17, 2009 \| edmonton rush \| pepsi center \| w 10-9 \| None \| 16727 \| 7-9 ] Execute this SQL based on the above table: select count ( location ) where attendance > 158	16
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select count ( * ) where single = '"miss you"'	1
[ header: finished \| post \| horse \| jockey \| trainer \| owner \| time / behind row 1 : 1st \| 6 \| silver charm \| gary l. stevens \| bob baffert \| bob & beverly lewis \| 2:02.44 row 2 : 2nd \| 5 \| captain bodgit \| alex solis \| gary a. capuano \| team valor \| None row 3 : 3rd \| 12 \| free house \| david flores \| j. paco gonzal \| john toffan & trud \| None row 4 : 4th \| 3 \| pulpit \| shane sellers \| frank l. brothers \| claiborne farm \| None row 5 : 5th \| 10 \| crypto star \| pat day \| wayne m. catalano \| evelyn & darrell \| None row 6 : 6th \| 9 \| phantom on tour \| jerry d. bailey \| lynn s. whiting \| w. cal partee \| None row 7 : 7th \| 5 \| jack flash \| craig perret \| nick zito \| dogwood stable \| None row 8 : 8th \| 6 \| hello \| mike smith \| ronald mcanally \| sandee & al k \| None row 9 : 9th \| 1 \| concerto \| carlos h. marquez, j \| john j. tammaro \| kinsman stable \| None row 10 : 10th \| 13 \| celtic warrior \| francisco torres \| danny hutt \| hutt, quackenbush \| None row 11 : 11th \| 4 \| crimson classic \| robby albarado \| forrest kaelin \| john w. clay \| None row 12 : 12th \| 15 \| shammy davis \| willie martinez \| nick zito \| fox hill farm \| None row 13 : 13th \| 11 \| deeds not words \| corey nakatani \| d. wayne luka \| michael tabor & susan \| None ] Execute this SQL based on the above table: select sum ( post ) where time / behind <= 'None'	6.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( city ) where population (2011) > 0	30
[ header: year \| starts \| wins \| top 5 \| top 10 \| poles \| avg. start \| avg. finish \| winnings \| position \| team(s) row 1 : 1986 \| 2 \| 0 \| 0 \| 0 \| 0 \| 21 \| 29 \| $535 \| 110th \| #31 grissom racing enterprises row 2 : 1987 \| 2 \| 0 \| 0 \| 0 \| 0 \| 17 \| 21.5 \| $975 \| 49th \| #39 grissom racing enterprises row 3 : 1988 \| 29 \| 0 \| 1 \| 4 \| 0 \| 23.6 \| 20.4 \| $45,391 \| 13th \| #39 grissom racing enterprises row 4 : 1989 \| 29 \| 0 \| 2 \| 5 \| 0 \| 23.1 \| 18.9 \| $71,822 \| 12th \| #9/#19 falcon racing row 5 : 1990 \| 31 \| 4 \| 11 \| 15 \| 1 \| 14.8 \| 13.2 \| $166,842 \| 3rd \| #31 grissom racing enterprises row 6 : 1991 \| 31 \| 1 \| 7 \| 13 \| 1 \| 20.5 \| 15.7 \| $152,206 \| 10th \| #31 grissom racing enterprises row 7 : 1992 \| 31 \| 1 \| 2 \| 7 \| 1 \| 19.7 \| 16.7 \| $170,716 \| 12th \| #31 grissom racing enterprises row 8 : 1994 \| 11 \| 0 \| 1 \| 1 \| 0 \| 27.5 \| 26.6 \| $39,475 \| 43rd \| #31 grissom racing enterprises row 9 : 1995 \| 15 \| 2 \| 4 \| 7 \| 0 \| 23.9 \| 15.6 \| $110,105 \| 26th \| #29 diamond ridge motorsports row 10 : 1996 \| 8 \| 1 \| 3 \| 4 \| 0 \| 25.9 \| 14.1 \| $90,942 \| 45th \| #29 diamond ridge motorsports row 11 : 1997 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 39 \| $4,425 \| 114th \| #5 labonte motorsports row 12 : 1998 \| 2 \| 0 \| 0 \| 0 \| 1 \| 22 \| 23 \| $16,444 \| 77th \| #12 spencer motor ventures # row 13 : 1999 \| 12 \| 0 \| 0 \| 0 \| 0 \| 35.5 \| 30.6 \| $128,750 \| 52nd \| #74 bace motorsports #12 row 14 : 2000 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 37 \| $7,925 \| 109th \| #8 petty enterprises row 15 : 2001 \| 1 \| 0 \| 0 \| 0 \| 0 \| 21 \| 26 \| $27,000 \| 151st \| #45 petty enterprises row 16 : 2002 \| 7 \| 0 \| 0 \| 0 \| 0 \| 30.6 \| 30.4 \| $86,830 \| 56th \| #34 frank cicci racing row 17 : 2003 \| 6 \| 0 \| 0 \| 0 \| 0 \| 37 \| 27.8 \| $83,825 \| 67th \| #07 dlp racing #61/ row 18 : 2004 \| 26 \| 0 \| 0 \| 0 \| 0 \| 37.3 \| 28.6 \| $482,604 \| 28th \| #36 dct motorsports # row 19 : 2005 \| 31 \| 0 \| 0 \| 0 \| 0 \| 40.3 \| 32.2 \| $602,395 \| 23rd \| #49 jay robinson racing row 20 : 2006 \| 2 \| 0 \| 0 \| 0 \| 0 \| 42 \| 30.5 \| $72,136 \| 98th \| #49 jay robinson racing row 21 : 2007 \| 1 \| 0 \| 0 \| 0 \| 0 \| 43 \| 25 \| $45,800 \| 133rd \| #34 frank cicci racing ] Execute this SQL based on the above table: select team(s) where year = 1990	#31 grissom racing enterprises
[ header: name \| animal type \| introduced \| reintroduced \| retired \| beanie baby resembled row 1 : antlers \| moose \| None \| 1999 (neon) \| 1999 \| chocolate row 2 : baba \| lamb \| None \| 1999 (neon) \| 1999 \| fleece row 3 : bruiser \| bulldog \| 1997 \| None \| None \| wrinkles row 4 : carrots \| bunny \| None \| 1999 (neon) \| 1999 \| ears, but pink instead of brown row 5 : chewy \| None \| None \| 1999 (neon) \| 1999 \| None row 6 : clover \| bunny \| 1998 \| None \| None \| ears, but white instead of brown row 7 : foxy \| fox \| None \| None \| None \| sly row 8 : glide \| porpoise \| None \| None \| None \| echo the dolphin row 9 : huggy \| bear \| 1995 \| 1999 (neon) \| 1999 \| cubbie, but yellow instead of brown row 10 : meow \| cat \| 1997 \| 1999 (neon) \| 1999 \| snip row 11 : moo \| cow \| 1995 \| None \| None \| daisy, but with white body instead of row 12 : oink \| pig \| 1995 \| None \| None \| squealer row 13 : paddles \| platypus \| None \| 1999 (neon) \| 1999 \| patti row 14 : purr \| tiger \| None \| None \| None \| stripes, but yellow-orange instead of orange row 15 : red \| bull \| None \| None \| None \| snort row 16 : ribbit (all-green) \| frog \| 1995 \| 1999 (neon) \| 1999 \| legs row 17 : ribbit (green-yellow) \| frog \| None \| None \| None \| smoochy row 18 : sherbert \| tie-dye bear \| 1998 \| 1999 (neon) \| 1999 \| sammy row 19 : snap (all-yellow) \| turtle \| 1995 \| None \| None \| speedy, but yellow instead of green row 20 : snap (yellow-green) \| turtle \| None \| 1999 (neon) \| None \| peekaboo row 21 : snuggy \| bear \| 1995 \| None \| None \| cubbie, but pink instead of brown row 22 : sparkler \| bear \| None \| None \| 1999 \| spangle row 23 : speckles \| leopard \| None \| None \| None \| freckles row 24 : spotty \| dalmatian \| None \| None \| None \| dotty row 25 : squirt \| elephant \| None \| 1999 (neon) \| 1999 \| peanut row 26 : swinger \| monkey \| None \| 1999 (neon) \| 1999 \| bongo row 27 : tide \| whale \| None \| None \| None \| splash row 28 : tubby \| hippopotamus \| None \| None \| None \| happy row 29 : woof \| dog \| 1995 \| 1999 (neon) \| 1999 \| bones row 30 : zulu \| zebra \| None \| None \| None \| ziggy, but pink-green instead of black ] Execute this SQL based on the above table: select retired where name = 'carrots'	1999
[ header: season \| competition \| round \| opponent \| home \| away \| aggregate row 1 : 2000-2001 \| uefa champions league \| third qualifying round \| galatasaray \| 1-2 \| 2-2 \| 3-4 row 2 : 2000-2001 \| uefa cup \| first round \| chelsea \| 2-0 \| 0-1 \| 2-1 row 3 : 2000-2001 \| uefa cup \| second round \| club brugge \| 1-1 \| 1-2 \| 2-3 row 4 : 2001-2002 \| uefa cup \| qualifying round \| pelister \| 2-3 \| 2-0 \| 4-3 row 5 : 2001-2002 \| uefa cup \| first round \| steaua bucuresti \| 2-1 \| 1-1 \| 3-2 row 6 : 2001-2002 \| uefa cup \| second round \| freiburg \| 1-4 \| 1-0 \| 2-4 row 7 : 2002 \| uefa intertoto cup \| first round \| b68 toftir \| 5-1 \| 6-0 \| 11-1 row 8 : 2002 \| uefa intertoto cup \| second round \| willem ii \| 1-1(aet) \| 0-1 \| 1-2 row 9 : 2007 \| uefa intertoto cup \| second round \| dacia chisinau \| 0-1(aet) \| 1-0 \| 1-1(0-3p) row 10 : 2013-14 \| uefa europa league \| play-off \| spartak moscow \| 1-1 \| 4-2 \| 5-3 row 11 : 2013-14 \| uefa europa league \| group a \| valencia \| 2-3 \| 1-5 \| 4th place row 12 : 2013-14 \| uefa europa league \| group a \| swansea city \| 1-0 \| 0-1 \| 4th place row 13 : 2013-14 \| uefa europa league \| group a \| kuban krasnodar \| 2-0 \| 0-4 \| 4th place ] Execute this SQL based on the above table: select ( select season where away = '2-0' ) - ( select season where away = '1-2' )	1
[ header: date \| opponent# \| rank# \| site \| result row 1 : september 5 \| maryland \| None \| carrier dome • syracuse, \| w 35-11 row 2 : september 12 \| rutgers \| None \| rutgers stadium • piscataway \| w 20-3 row 3 : september 19 \| miami (oh) \| None \| carrier dome • syracuse, \| w 24-10 row 4 : september 26 \| at virginia tech \| None \| lane stadium • blacksburg, va \| w 35-21 row 5 : october 3 \| at missouri \| None \| memorial stadium • columbia, mo \| w 24-13 row 6 : october 17 \| #10 penn state \| #13 \| carrier dome • syracuse, \| w 48-21 row 7 : october 24 \| colgate \| #9 \| carrier dome • syracuse, \| w 52-6 row 8 : october 31 \| at pittsburgh \| #8 \| pitt stadium • pittsburgh, pa \| w 24-10 row 9 : november 7 \| at navy \| #8 \| navy-marine corps memorial stadium • anna \| w 34-10 row 10 : november 14 \| boston college \| #6 \| carrier dome • syracuse, \| w 45-17 row 11 : november 21 \| west virginia \| #6 \| carrier dome • syracuse, \| w 32-31 row 12 : january 1 \| vs. #6 auburn \| #4 \| louisiana superdome • new orle \| t 16-16 ] Execute this SQL based on the above table: select site where result = 'w 48-21'	carrier dome • syracuse, ny
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select governorate where seats won = 0 and seats won = 0	al-anbar, diyala, ninawa
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select nation where rank is null	total
[ header: date \| event \| duration (months) \| duration (years) row 1 : 1927 \| experiment set up \| None \| None row 2 : 1930 \| the stem was cut \| None \| None row 3 : december 1938 \| 1st drop fell \| 96-107 \| 8.0-8.9 row 4 : february 1947 \| 2nd drop fell \| 99 \| 8.2 row 5 : april 1954 \| 3rd drop fell \| 86 \| 7.2 row 6 : may 1962 \| 4th drop fell \| 97 \| 8.1 row 7 : august 1970 \| 5th drop fell \| 99 \| 8.3 row 8 : april 1979 \| 6th drop fell \| 104 \| 8.7 row 9 : july 1988 \| 7th drop fell \| 111 \| 9.2 row 10 : 28 november 2000 \| 8th drop fell \| 148 \| 12.3 ] Execute this SQL based on the above table: select abs ( ( select duration (years) where duration (years) = '8.7' ) - ( select duration (years) where duration (years) = '8.7' ) )	0.0
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select number order by luke limit 1	1.0
[ header: # \| title \| producer(s) \| performer (s) \| time row 1 : 1 \| "i see dead people" \| phd \| grand puba, lord jamar, \| 4:26 row 2 : 2 \| "hunny" \| grant parks \| grand puba \| 4:04 row 3 : 3 \| "it is what it is" \| phd \| grand puba, tiffani davis \| 5:03 row 4 : 4 \| "how long?" \| elements \| grand puba \| 3:22 row 5 : 5 \| "good to go" \| q-tip \| grand puba, q-tip \| 3:53 row 6 : 6 \| "same old drama" \| large professor \| grand puba, large professor \| 1:29 row 7 : 7 \| "get that money" \| phd \| grand puba \| 3:29 row 8 : 8 \| "this joint right here" \| grand puba \| grand puba, kid capri \| 3:17 row 9 : 9 \| "go hard" \| grand puba \| grand puba, talee \| 3:35 row 10 : 10 \| "reality check" \| phd \| grand puba, sarah martine \| 3:09 row 11 : 11 \| "cold cold world" \| grand puba \| grand puba, khadija mo \| 3:31 row 12 : 12 \| "smile" \| big throwback \| grand puba, big phill \| 1:55 row 13 : 13 \| "the joint right here (remix)" \| grand puba \| grand puba, kid capri, lor \| 3:23 ] Execute this SQL based on the above table: select time where producer(s) = 'grand puba'	3:17, 3:35, 3:31, 3:23
[ header: # \| wrestlers \| reign \| date \| days held \| location \| notes row 1 : 1 \| kuishinbo kamen \| 1 \| january 4, 2001 \| 758 \| osaka, japan \| kamen defeated ebessan to row 2 : 2 \| ebessan \| 1 \| february 1, 2003 \| 56 \| osaka, japan \| None row 3 : 3 \| pero \| 1 \| march 29, 2003 \| 7 \| osaka, japan \| None row 4 : 4 \| ebessan \| 2 \| april 5, 2003 \| 92 \| osaka, japan \| None row 5 : 5 \| tigers mask \| 1 \| july 6, 2003 \| 90 \| osaka, japan \| None row 6 : None \| vacant \| None \| october 4, 2003 \| None \| None \| tigers mask vacated the title to row 7 : 6 \| miracle man \| 1 \| december 7, 2003 \| 55 \| osaka, japan \| miracle man won a 4-way match which included row 8 : 7 \| ebessan \| 3 \| january 31, 2004 \| 21 \| osaka, japan \| None row 9 : 8 \| kuishinbo kamen \| 2 \| february 21, 2004 \| 665 \| osaka, japan \| None row 10 : None \| stripped \| None \| december 17, 2005 \| None \| None \| kamen was stripped of the title due to row 11 : 9 \| policeman \| 1 \| february 18, 2006 \| 311 \| osaka, japan \| None row 12 : 10 \| okita-kun \| 1 \| february 26, 2006 \| 314 \| osaka, japan \| okita-kun won an eight row 13 : None \| vacant \| None \| january 6, 2007 \| None \| None \| okita-hun vacated row 14 : 11 \| sgt. suchi \| 1 \| february 12, 2007 \| 194 \| osaka, japan \| sgt. suchi is a row 15 : 12 \| ebessan iii \| 1 \| august 25, 2007 \| 113 \| osaka, japan \| None row 16 : 13 \| kuishinbo kamen \| 3 \| december 16, 2007 \| 84 \| tokyo, japan \| None row 17 : 14 \| miracle man \| 2 \| march 9, 2008 \| 51 \| tokyo, japan \| None row 18 : 15 \| kanjyuro matsuyama \| 1 \| april 29, 2008 \| 0 \| tokyo, japan \| matsuyama retires the title immediately after row 19 : 16 \| kuishinbo kamen \| 4 \| april 29, 2010 \| 59 \| osaka, japan \| kamen wins both the owarai championship row 20 : 17 \| kyusei ninja ranmar \| 1 \| june 27, 2010 \| 22 \| osaka, japan \| ranmaru wins both titles row 21 : 18 \| kuishinbo kamen \| 5 \| july 19, 2010 \| 1435 \| osaka, japan \| kamen wins both titles ] Execute this SQL based on the above table: select notes where reign > ( select reign where notes = 'kamen defeated ebessan to become the first champion' )	kamen wins both the owarai championship and the re-activated osaka meibutsu sekaiichi championship, kamen wins both titles
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : uberlingen \| imperial city \| swab \| sw \| 1268 \| 1803: mediatized to baden row 2 : ulm \| 1155: free imperial city \| swab \| sw \| 1115 \| 1803: mediatized to bavaria row 3 : umpfenbach \| lordship 1805: hre \| None \| None \| None \| to trauttmansdorff row 4 : unterwalden \| imperial valley \| None \| None \| 1415 \| division into nidwalden and row 5 : upper salm \| 1163: county \| None \| None \| 1170 \| partitioned from salm 1499: raised row 6 : upper bavaria (oberbayern \| duchy \| None \| None \| 1255 \| None row 7 : upper schonburg \| county \| upp sax \| None \| 1569 \| partitioned from schonburg 1800: partitione row 8 : urach \| county \| None \| None \| None \| 1060: 1st mention of ur row 9 : uri \| imperial valley \| None \| None \| 1231 \| split off from habsburg 1648: left empire row 10 : ursberg \| 1143: hre abbey \| swab \| None \| None \| 1803; secularized row 11 : utrecht \| bishopric \| burg \| ec \| 1024 \| 1512: burgundian circle 1528 row 12 : uznach \| county \| None \| None \| None \| None ] Execute this SQL based on the above table: select abs ( ( select formed where type = 'bishopric' ) - ( select formed where type = '1155: free imperial city' ) )	91
[ header: outcome \| date \| tournament \| surface \| partnering \| opponent in the final \| score in the final row 1 : winner \| 29 apr 2002 \| $10,000 bournemouth, great britain \| clay \| anna hawkins \| ipek senoglu \| 6-0, 6-0 row 2 : runner-up \| 14 may 2002 \| $10,000 hatfield, great britain \| clay \| anna hawkins \| irina bulykina \| 6-4, 4-6, 6-7(8 row 3 : runner-up \| 25 nov 2002 \| $25,000 mount gambier, australia \| hard \| chanelle scheepers \| daniella dominikovic evie \| None row 4 : winner \| 12 oct 2004 \| $25,000 sunderland, great brita \| hard \| elena baltacha \| eva fislova stanislava \| 6-1, 4-6, 6-2 row 5 : winner \| 18 jan 2005 \| $10,000 tipton, great britain \| hard \| surina de beer \| katie o'brien \| 6-2, 6-4 row 6 : runner-up \| 10 jul 2006 \| $25,000 felixstowe, great \| grass \| sarah borwell \| trudi musgrave christ \| 2-6, 4-6 row 7 : winner \| 17 jul 2006 \| $10,000 frinton, great britain \| grass \| georgie stoop \| danielle brown ana cetnik \| 6-4, 4-6, 6-2 row 8 : runner-up \| 7 aug 2006 \| $10,000 wrexham, great b \| hard \| karen paterson \| lindsay cox anna hawkin \| 3-6, 3-6 row 9 : winner \| 22 aug 2006 \| $10,000 cumberland (london), great \| hard \| karen paterson \| laura peterzen emily web \| 6-3, 6-3 row 10 : runner-up \| 28 aug 2006 \| $10,000 mollerusa, spain \| hard \| karen paterson \| michaela johansson \| 3-6, 6-2, 3-6 row 11 : winner \| 14 mar 2007 \| $10,000 sunderland, great britain \| hard \| anna hawkins \| ria doernemann em \| 6-4, 6-7(5-7), 6-3 ] Execute this SQL based on the above table: select count ( * ) where date = '18 jan 2005'	1
[ header: county \| obama \| votes \| romney \| votes \| others \| votes \| total row 1 : bernalillo \| 55.55% \| 147,183 \| 39.35% \| 104,242 \| 5.10% \| 13,517 \| 264,942 row 2 : catron \| 26.38% \| 560 \| 70.37% \| 1,494 \| 3.25% \| 69 \| 2,123 row 3 : chaves \| 32.28% \| 6,641 \| 64.77% \| 13,327 \| 2.95% \| 607 \| 20,575 row 4 : cibola \| 60.18% \| 4,907 \| 36.37% \| 2,966 \| 3.45% \| 281 \| 8,154 row 5 : colfax \| 49.05% \| 2,828 \| 46.83% \| 2,700 \| 4.11% \| 237 \| 5,765 row 6 : dona ana \| 55.97% \| 36,778 \| 41.07% \| 26,988 \| 2.96% \| 1,946 \| 65,712 row 7 : eddy \| 31.83% \| 6,110 \| 65.36% \| 12,546 \| 2.81% \| 539 \| 19,195 row 8 : grant \| 55.00% \| 7,009 \| 41.48% \| 5,286 \| 3.52% \| 449 \| 12,744 row 9 : guadalupe \| 69.68% \| 1,478 \| 26.12% \| 554 \| 4.20% \| 89 \| 2,121 row 10 : lea \| 23.98% \| 4,080 \| 73.75% \| 12,548 \| 2.27% \| 387 \| 17,015 row 11 : los alamos \| 48.72% \| 5,191 \| 45.02% \| 4,796 \| 6.26% \| 667 \| 10,654 row 12 : luna \| 47.77% \| 3,583 \| 48.93% \| 3,670 \| 3.29% \| 247 \| 7,500 row 13 : mckinley \| 72.08% \| 15,363 \| 25.43% \| 5,420 \| 2.49% \| 530 \| 21,313 row 14 : mora \| 74.85% \| 1,952 \| 22.81% \| 595 \| 2.34% \| 61 \| 2,608 row 15 : otero \| 34.15% \| 6,811 \| 62.23% \| 12,412 \| 3.62% \| 723 \| 19,946 row 16 : quay \| 37.32% \| 1,384 \| 59.39% \| 2,202 \| 3.29% \| 122 \| 3,708 row 17 : roosevelt \| 28.92% \| 1,730 \| 67.73% \| 4,052 \| 3.36% \| 201 \| 5,983 row 18 : san juan \| 34.11% \| 15,688 \| 62.57% \| 28,779 \| 3.32% \| 1,527 \| 45,994 row 19 : san miguel \| 76.86% \| 8,751 \| 20.04% \| 2,281 \| 3.10% \| 353 \| 11,385 row 20 : sandoval \| 50.29% \| 26,976 \| 45.17% \| 24,228 \| 4.53% \| 2,432 \| 53,636 row 21 : santa fe \| 73.37% \| 50,097 \| 22.48% \| 15,351 \| 4.15% \| 2,832 \| 68,280 row 22 : sierra \| 38.49% \| 1,964 \| 57.39% \| 2,928 \| 4.12% \| 210 \| 5,102 row 23 : socorro \| 56.37% \| 4,047 \| 37.89% \| 2,720 \| 5.74% \| 412 \| 7,179 row 24 : taos \| 78.06% \| 11,855 \| 17.84% \| 2,710 \| 4.10% \| 623 \| 15,188 row 25 : torrance \| 37.86% \| 2,414 \| 55.22% \| 3,521 \| 6.92% \| 441 \| 6,376 row 26 : union \| 26.83% \| 472 \| 70.27% \| 1,236 \| 2.90% \| 51 \| 1,759 row 27 : valencia \| 48.73% \| 13,473 \| 46.25% \| 12,788 \| 5.01% \| 1,386 \| 27,647 ] Execute this SQL based on the above table: select count ( * ) where romney = '11,385' and others = 861	0
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select ecclesiastical province where latin name = 'menonguensis'	lubango
[ 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 executions in effigie - penanced where tribunal = 'las palmas'	0.0
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select city order by floors desc limit 1	toronto
[ header: week \| date \| opponent \| result \| record \| game site \| bye row 1 : 1 \| march 31, 2006 \| louisville fire \| w 45-37 \| 1-0 \| wachovia arena \| 0 row 2 : 2 \| None \| None \| None \| None \| None \| 1 row 3 : 3 \| april 14, 2006 \| albany conquest \| w 55-48 (ot) \| 2-0 \| times union center \| 0 row 4 : 4 \| april 21, 2006 \| south georgia wildcats \| w 36-33 \| 3-0 \| wachovia arena \| 0 row 5 : 5 \| april 29, 2006 \| manchester wolves \| w 62-47 \| 4-0 \| verizon wireless arena \| 0 row 6 : 6 \| may 5, 2006 \| green bay blizzard \| w 42-27 \| 5-0 \| wachovia arena \| 0 row 7 : 7 \| may 13, 2006 \| tulsa talons \| l 53-37 \| 5-1 \| wachovia arena \| 0 row 8 : 8 \| may 20, 2006 \| macon knights \| w 38-22 \| 6-1 \| macon coliseum \| 0 row 9 : 9 \| may 27, 2006 \| manchester wolves \| l 48-28 \| 6-2 \| wachovia arena \| 0 row 10 : 10 \| june 3, 2006 \| louisville fire \| w 51-48 \| 7-2 \| freedom hall \| 0 row 11 : 11 \| june 10, 2006 \| albany conquest \| l 73-70 \| 7-3 \| times union center \| 0 row 12 : 12 \| june 17, 2006 \| quad city steamwheelers \| w 55-52 \| 8-3 \| wachovia arena \| 0 row 13 : 13 \| june 24, 2006 \| green bay blizzard \| l 65-35 \| 8-4 \| resch center \| 0 row 14 : 14 \| None \| None \| None \| None \| None \| 1 row 15 : 15 \| july 8, 2006 \| florida firecats \| l 56-51 \| 8-5 \| wachovia arena \| 0 row 16 : 16 \| july 14, 2006 \| manchester wolves \| l 45-14 \| 8-6 \| verizon wireless arena \| 0 row 17 : 17 \| july 22, 2006 \| quad city steamwheelers \| l 55-34 \| 8-7 \| i wireless center \| 0 row 18 : 18 \| july 29, 2006 \| albany conquest \| w 54-27 \| 9-7 \| wachovia arena \| 0 ] Execute this SQL based on the above table: select bye order by week limit 1	0
[ header: date \| week (stage) \| song choice \| original artist \| theme \| result row 1 : 11 february 2011 \| week 1 (top 9) \| "just the way you are" \| bruno mars \| free choice \| safe row 2 : 18 february 2011 \| week 2 (top 8) \| "can't buy me love" \| the beatles \| the beatles songs \| safe row 3 : 25 february 2011 \| week 3 (top 7) \| "de første kæ \| tv.2 \| songs from the 2000s \| safe row 4 : 4 march 2011 \| week 4 (top 6) \| "numb" \| linkin park \| rock songs \| safe row 5 : 11 march 2011 \| week 5 (top 5) \| "hurt" \| christina aguilera \| free choice (with danish national chamber orchestra \| safe row 6 : 18 march 2011 \| week 6 (top 4) \| "dj got us fallin' in love \| usher feat. pitbull \| dj night with rune rk \| safe row 7 : 18 march 2011 \| week 6 (top 4) \| "baby" \| justin bieber \| free choice \| safe row 8 : 25 march 2011 \| week 7 (final 3) \| "the flood" \| take that \| joint song with guest take that performed jointly with the \| third row 9 : 25 march 2011 \| week 7 (final 3) \| "all the right moves" \| onerepublic \| free choice \| third row 10 : 25 march 2011 \| week 7 (final 3) \| "back to the 80s" \| aqua \| joint song with guest aqua \| third ] Execute this SQL based on the above table: select week (stage) where result = 'third'	week 7 (final 3), week 7 (final 3), week 7 (final 3)
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select count ( took office ) where # > 9	0
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select abs ( ( select age where contestant = 'lourdes rodriguez' ) - ( select age where contestant = 'marichelle julieta ruiz leone' ) )	1.0
[ header: country \| zone \| national federation \| #gm \| #fide \| national championship row 1 : australia \| 3.6 \| australian chess federation \| 2 \| 468 \| australian chess championship row 2 : belarus \| 1.8 \| belarus chess federation \| 13 \| 425 \| belarusian chess championship row 3 : bulgaria \| 1.4 \| българска ф \| 25 \| 606 \| bulgarian chess championship row 4 : costa rica \| 2.3c \| federacion central de ajed \| 1 \| 88 \| costa rican chess championship row 5 : england \| 1.1a \| english chess federation \| 35 \| 1211 \| british chess championship row 6 : fiji \| 3.6 \| fiji chess federation \| 0 \| 9 \| fijian chess championship row 7 : germany \| 1.2a \| deutscher schachbund \| 66 \| 10897 \| german chess championship row 8 : guyana \| None \| guyana chess federation \| None \| None \| guyanese chess championship row 9 : iceland \| 1.3 \| skaksamband islands \| 11 \| 227 \| icelandic chess championship row 10 : luxembourg \| 1.1b \| federation luxembourgeoise des e \| 1 \| 99 \| luxembourgian chess championship row 11 : morocco \| 4.1 \| fed. royale marocaine des e \| 1 \| 68 \| moroccan chess championship row 12 : nepal \| 3.5 \| nepal chess association \| 1 \| 155 \| nepal chess championship row 13 : peru \| 2.4 \| federacion peruana de \| 1 \| 258 \| peruvian chess championship row 14 : singapore \| 3.3 \| singapore chess federation \| 4 \| 132 \| singaporean chess championship row 15 : slovakia \| 1.4 \| slovensky sachovy z \| 9 \| 1152 \| slovak chess championship row 16 : slovenia \| 1.2a \| sahovska zveza \| 5 \| 548 \| slovenian chess championship row 17 : tajikistan \| 3.4 \| federazijai shakhmati \| 1 \| 17 \| tajikistani chess championship row 18 : turkey \| 1.5a \| turkiye satranc \| 2 \| 545 \| turkish chess championship row 19 : united states \| 2.1 \| united states chess federation \| 61 \| 1785 \| u.s. chess championship row 20 : venezuela \| 2.3c \| fed. venezolana de a \| 1 \| 136 \| venezuelan chess championship row 21 : zambia \| 4.3 \| chess federation of zambi \| 1 \| 21 \| zambian chess championship ] Execute this SQL based on the above table: select national championship where zone is null	guyanese chess championship
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| jim clark \| lotus-ford \| 80 \| 1:59:25.6 \| 1 \| 9 row 2 : 2 \| 2 \| denny hulme \| brabham-repco \| 80 \| + 12.8 \| 4 \| 6 row 3 : 3 \| 8 \| chris amon \| ferrari \| 80 \| + 16.6 \| 6 \| 4 row 4 : 4 \| 1 \| jack brabham \| brabham-repco \| 80 \| + 21.8 \| 3 \| 3 row 5 : 5 \| 12 \| pedro rodriguez \| cooper-maserati \| 79 \| + 1 lap \| 9 \| 2 row 6 : 6 \| 7 \| john surtees \| honda \| 78 \| + 2 laps \| 7 \| 1 row 7 : 7 \| 15 \| chris irwin \| brm \| 77 \| + 3 laps \| 13 \| None row 8 : 8 \| 20 \| david hobbs \| brm \| 77 \| + 3 laps \| 14 \| None row 9 : 9 \| 14 \| alan rees \| cooper-maserati \| 76 \| + 4 laps \| 15 \| None row 10 : 10 \| 18 \| guy ligier \| brabham-repco \| 76 \| + 4 laps \| 21 \| None row 11 : ret \| 19 \| bob anderson \| brabham-climax \| 67 \| engine \| 17 \| None row 12 : ret \| 6 \| graham hill \| lotus-ford \| 64 \| engine \| 2 \| None row 13 : ret \| 4 \| mike spence \| brm \| 44 \| ignition \| 11 \| None row 14 : ret \| 9 \| dan gurney \| eagle-weslake \| 34 \| clutch \| 5 \| None row 15 : ret \| 22 \| silvio moser \| cooper-ats \| 29 \| oil pressure \| 20 \| None row 16 : ret \| 11 \| jochen rindt \| cooper-maserati \| 26 \| engine \| 8 \| None row 17 : ret \| 3 \| jackie stewart \| brm \| 20 \| transmission \| 12 \| None row 18 : ret \| 10 \| bruce mclaren \| eagle-weslake \| 14 \| engine \| 10 \| None row 19 : ret \| 17 \| jo siffert \| cooper-maserati \| 10 \| engine \| 18 \| None row 20 : ret \| 23 \| jo bonnier \| cooper-maserati \| 0 \| engine \| 9 \| None row 21 : dns \| 16 \| piers courage \| brm \| 0 \| non starter \| None \| None ] Execute this SQL based on the above table: select driver where driver != 'graham hill' and constructor = ( select constructor where driver = 'graham hill' )	jim clark
[ header: model \| release date \| sensor res., size \| lens (35 mm equiv.) zoom, aperture \| screen size, pixels \| dimensions w (mm) × h (mm) × d (mm) \| weight \| features row 1 : s01 \| aug 22, 2012 \| 10.1 mp 3648x2736 1/2 \| 29-87 mm (3×) f \| 2.5 in 230 kpixel \| 77 × 51.2 × 17.2 \| 96 g (w/batt. \| ccd sensor, 2.5 in touch screen row 2 : s30 \| feb 1, 2012 \| 10.1 mp 3648x2736 1/3 \| 29.1-87.3 mm (3×) \| 2.7 in 230 kpixel \| 101.9 × 64.8 × 39. \| 214 g (w/batt. \| compact drop-resistant and waterproof with large buttons and row 3 : s800c \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-250 mm (10×) f \| 3.5 in 819 kpixel \| 111.4 × 60.0 × 27.2 \| 184 g (w/batt. \| android 2.3 os, 3.5 in row 4 : s1200pj \| aug 24, 2011 \| 14.1 mp 4320x3240 1/2 \| 28-140 mm (5×) f \| 3 in 460 kpixel \| 107 × 63.4 × 22.6 \| 186 g (w/batt. \| ccd sensor, built-in project row 5 : s2600 \| None \| 14.0 mp 4320x3240 1/2 \| 26-130 mm (5×) f \| 2.7 in 230 kpixel \| 93.8 × 58.4 × \| 121 g (w/batt. \| None row 6 : s3300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 2.7 in 230 kpixel \| 94.8 × 57.8 × \| 128 g (w/batt. \| None row 7 : s4300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 26-156 mm (6×) f \| 3 in 460 kpixel \| 95.5 × 58.9 × \| 139 g (w/batt. \| None row 8 : s6400 \| aug 22, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-300 mm (12×) f \| 3.0 in 460 kpixel \| 95.4 × 58.6 × \| 150 g (w/batt.) \| cmos sensor, lens-based vibration reduction row 9 : s9300 \| feb 1, 2012 \| 16.0 mp 4608x3456 1/2 \| 25-450 mm (18×) f \| 3 in 921 kpixel \| 108.7 × 62.3 × \| 215 g (w/batt. \| s9200 with built in gp ] Execute this SQL based on the above table: select release date where release date = 'aug 22, 2012'	aug 22, 2012, aug 22, 2012, aug 22, 2012
[ header: rank \| bib \| athlete \| country \| run 1 \| run 2 \| total \| behind row 1 : None \| 1 \| felix loch \| germany \| 48.133 (1) \| 48.242 (1) \| 1:36.375 \| None row 2 : None \| 4 \| andi langenhan \| germany \| 48.316 (2) \| 48.434 (4) \| 1:36.750 \| +0.375 row 3 : None \| 7 \| johannes ludwig \| germany \| 48.338 (3) \| 48.437 (5) \| 1:36.775 \| +0.400 row 4 : 4 \| 2 \| david moller \| germany \| 48.424 (4) \| 48.362 (3) \| 1:36.786 \| +0.411 row 5 : 5 \| 16 \| samuel edney \| canada \| 48.446 (5) \| 48.350 (2) \| 1:36.796 \| +0.421 row 6 : 6 \| 12 \| chris mazdzer \| united states \| 48.581 (8) \| 48.543 (6) \| 1:37.124 \| +0.749 row 7 : 7 \| 3 \| albert demtschenko \| russia \| 48.578 (7) \| 48.552 (7) \| 1:37.130 \| +0.755 row 8 : 8 \| 5 \| wolfgang kindl \| austria \| 48.573 (6) \| 48.596 (10) \| 1:37.169 \| +0.794 row 9 : 10 \| 13 \| daniel pfister \| austria \| 48.602 (9) \| 48.654 (13) \| 1:37.256 \| +0.881 row 10 : 12 \| 19 \| martins rubenis \| latvia \| 48.675 (11) \| 48.653 (12) \| 1:37.328 \| +0.953 row 11 : 13 \| 14 \| gregory carigiet \| switzerland \| 48.699 (14) \| 48.663 (14) \| 1:37.362 \| +0.987 row 12 : 14 \| 8 \| viktor kneyb \| russia \| 48.692 (12) \| 48.752 (18) \| 1:37.444 \| +1.069 row 13 : 15 \| 20 \| jozef ninis \| slovakia \| 48.757 (15) \| 48.692 (15) \| 1:37.449 \| +1.074 row 14 : 17 \| 21 \| taylor morris \| united states \| 48.763 (16) \| 48.780 (20) \| 1:37.543 \| +1.168 row 15 : 19 \| 25 \| ondrej hyman \| czech republic \| 48.894 (21) \| 48.709 (16) \| 1:37.603 \| +1.228 row 16 : 21 \| 11 \| reinhard egger \| austria \| 48.965 (25) \| 48.712 (17) \| 1:37.677 \| +1.302 row 17 : 25 \| 30 \| mitchel malyk \| canada \| 48.935 (24) \| 49.005 (25) \| 1:37.940 \| +1.565 row 18 : 27 \| 29 \| aleksandr peretjagin \| russia \| 48.995 (27) \| None \| 48.995 \| None row 19 : 30 \| 26 \| maciej kurowski \| poland \| 49.099 (30) \| None \| 49.099 \| None row 20 : 32 \| 33 \| andriy kis \| ukraine \| 49.201 (32) \| None \| 49.201 \| None row 21 : 35 \| 36 \| hidenari kanayama \| japan \| 49.584 (35) \| None \| 49.584 \| None row 22 : 37 \| 38 \| tilen sirse \| slovenia \| 50.001 (37) \| None \| 50.001 \| None row 23 : 38 \| 39 \| kim dong-hyeon \| south korea \| 50.375 (38) \| None \| 50.375 \| None row 24 : 41 \| 41 \| imre pulai \| hungary \| 52.512 (41) \| None \| 52.512 \| None ] Execute this SQL based on the above table: select country where athlete > ( select athlete where country = 'slovakia' ) order by athlete limit 1	south korea
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select country order by gdp growth, 2007-2011 (in %) limit 1	reunion (france)
[ header: airline \| destination(s) \| aircraft scheduled \| service date(s) \| comments row 1 : air florida \| new york jfk, tamp \| boeing 737-200, d \| jfk: 6/14/79 \| None row 2 : airtran airways \| atlanta, dayton, o \| boeing 737-200, d \| 11/14/1996-2/28/1998 \| None row 3 : air wisconsin \| akron-canton, chica \| bae 146, bae atp, \| None \| original and operating as united express row 4 : allegiant air \| las vegas \| md-80 \| 12/15/2005-4/24/2006 \| None row 5 : america west express \| columbus, flint \| beech 1900 \| None \| operated by mesa dba superior row 6 : american eagle airlines \| dallas/fort worth \| erj-145 \| None \| operated by simmons airlines (now american row 7 : atlantic coast airlines \| cincinnati \| dornier 328jet \| None \| dba delta connection row 8 : atlantic southeast airlines \| atlanta, cincinnati \| atr 72, crj-200, cr \| None \| dba delta connection row 9 : beaver aviation / bas airlines \| beaver falls (pa), d \| piper navajo \| early 1980s \| None row 10 : capital airlines \| akron, chicago, \| viscount, dc-3, d \| 1/8/1948-05-31-1961 \| merged with united. * at the time, row 11 : comair \| atlanta, cincinnati, colum \| piper chieftain, piper \| 1979, 01/03/1981-? \| original and as delta connection row 12 : continental express \| cleveland \| emb-120, beech 1900, dash \| None \| None row 13 : delta air lines \| atlanta, cincinnati, dayt \| convair 440, boeing 7 \| None \| None row 14 : eastern airlines \| columbus \| constellation l-1049g, locheed elect \| None \| None row 15 : liberty airlines \| chicago midway & o' \| convair 440 \| 02/1982-5/16/1983 \| plans for cmh, cle, s row 16 : piedmont airlines \| dayton \| boeing 727-200, boe \| None \| merged with usair ] Execute this SQL based on the above table: select count ( comments ) where destination(s) = 'atlanta, cincinnati, dayton, detroit, fort wayne'	0
[ header: player \| rec. \| yards \| avg. \| td's \| long row 1 : charles frederick \| 115 \| 1385 \| 12 \| 27 \| 42 row 2 : jerel myers \| 104 \| 1183 \| 11.4 \| 21 \| 38 row 3 : anthony hines \| 58 \| 822 \| 14.2 \| 12 \| 39 row 4 : boo williams \| 45 \| 474 \| 10.5 \| 17 \| 35 row 5 : ira gooch \| 24 \| 339 \| 14.1 \| 6 \| 32 row 6 : sam simmons \| 15 \| 197 \| 13.1 \| 2 \| 30 row 7 : kevin beard \| 10 \| 87 \| 8.7 \| 0 \| 21 row 8 : dawan moss \| 7 \| 39 \| 5.6 \| 1 \| 12 row 9 : cyron brown \| 3 \| 17 \| 5.7 \| 1 \| 8 row 10 : larrell johnson \| 3 \| 14 \| 4.7 \| 0 \| 6 row 11 : jamarr wood \| 1 \| 13 \| 13 \| 0 \| 13 row 12 : cecil moore \| 2 \| 9 \| 4.5 \| 2 \| 8 row 13 : raymond philyaw \| 1 \| -6 \| -6 \| 0 \| -6 ] Execute this SQL based on the above table: select count ( player ) where player = 'anthony hines'	1
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select score group by score order by count ( * ) desc limit 1	5-0
[ 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 order by internl. tourism receipts. 2010 (usd (x1000) desc limit 1	mexico
[ header: squad # \| position \| player \| transferred to \| fee \| date row 1 : 20 \| df \| lau nim yat \| biu chun rangers \| free transfer \| 5 june 2012 row 2 : 16 \| mf \| leung chun pong \| guangdong sunray cave \| free transfer \| 12 june 2012 row 3 : 3 \| df \| yeo jee-hoon \| unattached (released) \| None \| 9 july 2012 row 4 : 8 \| mf \| xu deshuai \| sun pegasus \| free transfer (released) \| 9 july 2012 row 5 : 11 \| mf \| li haiqiang \| tuen mun \| free transfer (released) \| 9 july 2012 row 6 : 22 \| fw \| giovane alves da sil \| biu chun rangers \| free transfer (released) \| 9 july 2012 row 7 : 23 \| gk \| zhang chunhui \| sunray cave jc sun hei \| free transfer (released) \| 9 july 2012 row 8 : 26 \| mf \| chan pak hang \| sun pegasus \| free transfer (released) \| 9 july 2012 row 9 : 7 \| fw \| chan siu ki \| guangdong sunray cave \| free transfer (released) \| 10 july 2012 row 10 : None \| mf \| kot cho wai \| sunray cave jc sun hei \| undisclosed \| 16 july 2012 row 11 : 6 \| df \| wong chin hung \| biu chun rangers \| free transfer \| 9 january 2013 row 12 : 33 \| fw \| mauro rafael \| unattached (released) \| free transfer \| 1 february 2013 ] Execute this SQL based on the above table: select player order by squad # desc limit 1	mauro rafael da silva
[ header: season \| head coach \| conf. \| overall row 1 : 1940-41 \| henry swasey \| 3-5 \| 9-8 row 2 : 1941-42 \| henry swasey \| 0-8 \| 4-15 row 3 : 1942-43 \| henry swasey \| 2-6 \| 4-14 row 4 : 1945-46 \| henry swasey \| 0-4 \| 3-7 row 5 : 1946-47 \| ed stanczyk \| 0-5 \| 6-11 row 6 : 1947-48 \| ed stanczyk \| 2-5 \| 5-12 row 7 : 1948-49 \| ed stanczyk \| 2-6 \| 7-10 row 8 : 1949-50 \| ed stanczyk \| 1-5 \| 4-11 ] Execute this SQL based on the above table: select count ( * ) where head coach = 10	0
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select location order by id desc limit 1	new haven, connecticut
[ header: team \| truck(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : addington racing \| chevrolet silverado \| 60 \| travis kvapil \| cat rental stores \| mike addington \| rick ren row 2 : bobby hamilton racing \| dodge ram \| 4 \| brian rose \| perry connection \| debbie hamilton \| danny rollins row 3 : bobby hamilton racing \| dodge ram \| 8 \| bill lester (r) \| dodge dealers \| bobby hamilton \| kip mccord row 4 : circle bar racing \| ford f-150 \| 14 \| rick crawford \| circle bar motel & rv park \| tom mitchell \| ray stonkus row 5 : countryman motorsports \| ford f-150 \| 15 \| rich bickle \| dickies \| billy ballew \| craig osbourne row 6 : green light racing \| chevrolet silverado \| 8 \| bobby dotter \| people against drugs \| gene christensen \| doug howe row 7 : joe gibbs racing \| chevrolet silverado \| 20 \| coy gibbs \| mbna \| joe gibbs \| doug hewitt row 8 : k automotive racing \| ford f-150 \| 29 \| terry cook \| power stroke diesel \| kay keselowski \| bob keselowski row 9 : l&r racing \| chevrolet silverado \| 90 \| lance norick \| express personnel services \| ron norick \| gary showalter row 10 : morgan-dollar motorsports \| chevrolet silverado \| 46 \| dennis setzer \| acxiom/computer associate \| david dollar \| john monsam row 11 : portenga motorsports \| chevrolet silverado \| 39 \| steve portenga \| roto-rooter \| steve portenga \| george church row 12 : powers motorsports \| dodge ram \| 55 \| tom powers \| university of northwestern ohio \| sherri powers \| bryan berry row 13 : sealmaster racing \| chevrolet silverado \| 88 \| matt crafton \| sealmaster \| duke thorson \| jerry cook row 14 : spears motorsports \| chevrolet silverado \| 75 \| david starr \| spears manufacturing \| wayne spears \| dave mccarty row 15 : tagsby racing \| chevrolet silverado \| 73 \| loni richardson (r) \| intensitee/uti \| joey sonntag \| joey sonntag row 16 : team racing \| chevrolet silverado \| 86 \| dana white (r) \| red line oil/coverall carports \| phil bonifield \| bernie taft row 17 : troxell racing \| chevrolet silverado \| 93 \| jerry allec, jr \| None \| lonnie troxell \| lonnie troxell row 18 : ultra motorsports \| dodge ram \| 1 \| ted musgrave \| mopar \| jim smith \| gene nead row 19 : ultra motorsports \| dodge ram \| 2 \| jason leffler \| team ase racing \| marlene smith \| tim kohuth row 20 : ware racing enterprises \| dodge ram \| 5 \| lance hooper \| diamond cut jeans/blair5.com \| rick ware \| cal northrop row 21 : ware racing enterprises \| dodge ram \| 51 \| michael dokken \| ooida \| rick ware \| ken glen ] Execute this SQL based on the above table: select # where listed owner(s) = 'kay keselowski'	29.0
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( * ) where state/territory = 'bihar'	4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation < ( select nation where nation = 'chile (chi)' ) order by nation desc limit 1	canada (can)
[ header: round \| # \| player \| nationality \| college/junior/club team (league) row 1 : 1 \| 26 \| cory schneider (g) \| united states \| phillips academy (us high school) row 2 : 3 \| 91 \| alexander edler (d) \| sweden \| jamtland (sweden) row 3 : 4 \| 125 \| andrew sarauer (lw \| canada \| langley hornets (bch row 4 : 5 \| 159 \| mike brown (rw) \| united states \| university of michigan (ccha) row 5 : 6 \| 189 \| julien ellis (g) \| canada \| shawinigan cataractes (qm row 6 : 8 \| 254 \| david schulz (d) \| canada \| swift current broncos (whl row 7 : 9 \| 287 \| jannik hansen (rw \| denmark \| malmo jr. (sj ] Execute this SQL based on the above table: select count ( * ) where player = 'julien ellis (g)'	1