Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: year \| title \| role \| notes row 1 : 1980 \| hawaii five-o \| neal forrester \| episode: "the flight of the jewels" row 2 : 1982 \| american playhouse \| jed jenkins \| episode: "the fifth of july" row 3 : 1991 \| saturday night live \| host \| episode: jeff daniels/ row 4 : 1993 \| frasier \| doug \| episode: "here's looking at you row 5 : 1995 \| saturday night live \| host \| episode: jeff daniels/ row 6 : 2010 \| planet sheen \| glonb \| episode: "what's up chock?" row 7 : 2012-present \| the newsroom \| will mcavoy \| 19 episodes primetime emmy award for ] Execute this SQL based on the above table: select year where title = 'saturday night live'	1991, 1995
[ header: date \| opponents \| h/a \| result f-a \| scorers \| attendance row 1 : 27 august 1921 \| everton \| a \| 0-5 \| None \| 30000 row 2 : 29 august 1921 \| west bromwich albion \| h \| 2-3 \| partridge, robinson \| 20000 row 3 : 3 september 1921 \| everton \| h \| 2-1 \| harrison, spence \| 25000 row 4 : 7 september 1921 \| west bromwich albion \| a \| 0-0 \| None \| 15000 row 5 : 10 september 1921 \| chelsea \| a \| 0-0 \| None \| 35000 row 6 : 17 september 1921 \| chelsea \| h \| 0-0 \| None \| 28000 row 7 : 24 september 1921 \| preston north end \| a \| 2-3 \| lochhead, partridge \| 25000 row 8 : 1 october 1921 \| preston north end \| h \| 1-1 \| spence \| 30000 row 9 : 15 october 1921 \| tottenham hotspur \| h \| 2-1 \| sapsford, spence \| 30000 row 10 : 22 october 1921 \| manchester city \| a \| 1-4 \| spence \| 24000 row 11 : 5 november 1921 \| middlesbrough \| h \| 3-5 \| lochhead, sapsford, spence \| 30000 row 12 : 12 november 1921 \| middlesbrough \| a \| 0-2 \| None \| 18000 row 13 : 26 november 1921 \| aston villa \| h \| 1-0 \| henderson \| 33000 row 14 : 3 december 1921 \| bradford city \| a \| 1-2 \| spence \| 15000 row 15 : 10 december 1921 \| bradford city \| h \| 1-1 \| henderson \| 9000 row 16 : 17 december 1921 \| liverpool \| a \| 1-2 \| sapsford \| 40000 row 17 : 24 december 1921 \| liverpool \| h \| 0-0 \| None \| 30000 row 18 : 26 december 1921 \| burnley \| h \| 0-1 \| None \| 15000 row 19 : 2 january 1922 \| sheffield united \| a \| 0-3 \| None \| 18000 row 20 : 14 january 1922 \| newcastle united \| h \| 0-1 \| None \| 20000 row 21 : 21 january 1922 \| sunderland \| a \| 1-2 \| sapsford \| 10000 row 22 : 28 january 1922 \| sunderland \| h \| 3-1 \| lochhead, sapsford, spence \| 18000 row 23 : 11 february 1922 \| huddersfield town \| h \| 1-1 \| spence \| 30000 row 24 : 27 february 1922 \| huddersfield town \| a \| 1-1 \| sapsford \| 30000 row 25 : 11 march 1922 \| arsenal \| h \| 1-0 \| spence \| 30000 row 26 : 18 march 1922 \| blackburn rovers \| h \| 0-1 \| None \| 30000 row 27 : 5 april 1922 \| arsenal \| a \| 1-3 \| lochhead \| 25000 row 28 : 8 april 1922 \| bolton wanderers \| a \| 0-1 \| None \| 28000 row 29 : 15 april 1922 \| oldham athletic \| h \| 0-3 \| None \| 30000 row 30 : 17 april 1922 \| sheffield united \| h \| 3-2 \| harrison, lochhead, partridge \| 28000 row 31 : 22 april 1922 \| oldham athletic \| a \| 1-1 \| lochhead \| 30000 row 32 : 29 april 1922 \| cardiff city \| h \| 1-1 \| partridge \| 18000 ] Execute this SQL based on the above table: select opponents where result f-a = '0-0' order by opponents asc limit 1686	chelsea, chelsea, liverpool, west bromwich albion
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where id = ( select id where change = '-18.7%' ) - 1	+10.7%
[ header: # \| player \| pos \| pts \| tries \| conv \| pens \| drop \| opposition \| venue \| date row 1 : 1 \| stefano bettarello \| fly-half \| 29 \| 1 \| 2 \| 5 \| 2 \| canada \| toronto \| 1 july 1982 row 2 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 1 \| 6 \| 3 \| scotland \| rome \| 5 february 2000 row 3 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 4 \| 7 \| 0 \| fiji \| treviso \| 10 november 2001 row 4 : 4 \| diego dominguez \| fly-half \| 28 \| 1 \| 7 \| 3 \| 0 \| netherlands \| calvisano \| 21 may 1994 row 5 : 5 \| diego dominguez \| fly-half \| 27 \| 1 \| 2 \| 6 \| 0 \| ireland \| bologna \| 20 december 1997 row 6 : 6 \| diego dominguez \| fly-half \| 25 \| 0 \| 5 \| 5 \| 0 \| romania \| tarbes \| 26 october 1997 row 7 : 7 \| luigi troiani \| fly-half \| 24 \| 0 \| 12 \| 0 \| 0 \| czech republic \| viadana \| 18 may 1994 row 8 : 7 \| diego dominguez \| fly-half \| 24 \| 0 \| 0 \| 8 \| 0 \| romania \| catania \| 1 october 1994 row 9 : 7 \| mirco bergamasco \| wing \| 24 \| 0 \| 0 \| 8 \| 0 \| fiji \| modena \| 27 november 2010 row 10 : 10 \| 3 players on 23 points \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select venue where pens = ( select pens where venue = 'treviso' ) + 1	catania, modena
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select school order by id desc limit 1	virginia polytechnic institute and state university
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select description where se europe (hungary, romania, yugoslavia & slovakia) > 1240 order by description limit 1037	cause undetermined, deported( forced labor ussr), during the wartime flight, in internment camps, total confirmed deaths, total population before flight & expulsion, total unsolved cases, violent deaths
[ header: year \| date \| winner \| result \| loser \| attendance \| location row 1 : 1980 \| oct 19 \| chicago bears \| 24-7 \| detroit lions \| None \| chicago, illinois row 2 : 1980 \| nov 27 \| chicago bears \| 23-17 (ot) \| detroit lions \| 58508 \| pontiac, michigan row 3 : 1981 \| oct 19 \| detroit lions \| 48-17 \| chicago bears \| 75397 \| pontiac, michigan row 4 : 1981 \| nov 22 \| detroit lions \| 23-7 \| chicago bears \| 71273 \| chicago, illinois row 5 : 1982 \| sept 12 \| detroit lions \| 17-10 \| chicago bears \| 50082 \| pontiac, michigan row 6 : 1982 \| nov 21 \| chicago bears \| 20-17 \| detroit lions \| 46783 \| chicago, illinois row 7 : 1983 \| oct 16 \| detroit lions \| 31-17 \| chicago bears \| 66709 \| pontiac, michigan row 8 : 1983 \| oct 30 \| detroit lions \| 38-17 \| chicago bears \| 58764 \| chicago, illinois row 9 : 1984 \| nov 18 \| chicago bears \| 16-14 \| detroit lions \| 54911 \| chicago, illinois row 10 : 1984 \| dec 16 \| chicago bears \| 30-13 \| detroit lions \| 53252 \| pontiac, michigan row 11 : 1985 \| nov 10 \| chicago bears \| 24-3 \| detroit lions \| 53467 \| chicago, illinois row 12 : 1985 \| dec 22 \| chicago bears \| 37-17 \| detroit lions \| 74042 \| pontiac, michigan row 13 : 1986 \| oct 26 \| chicago bears \| 13-7 \| detroit lions \| 62064 \| chicago, illinois row 14 : 1986 \| dec 15 \| chicago bears \| 16-13 \| detroit lions \| 75602 \| pontiac, michigan row 15 : 1987 \| nov 22 \| chicago bears \| 30-10 \| detroit lions \| 63357 \| chicago, illinois row 16 : 1988 \| oct 9 \| chicago bears \| 24-7 \| detroit lions \| 64526 \| pontiac, michigan row 17 : 1988 \| dec 11 \| chicago bears \| 13-12 \| detroit lions \| 55010 \| chicago, illinois row 18 : 1989 \| sept 24 \| chicago bears \| 47-27 \| detroit lions \| 71418 \| pontiac, michigan row 19 : 1989 \| dec 10 \| detroit lions \| 27-17 \| chicago bears \| 52650 \| chicago, illinois ] Execute this SQL based on the above table: select attendance where location = 'pontiac, michigan'	58508, 75397, 50082, 66709, 53252, 74042, 75602, 64526, 71418
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select opponent where round = '1st round'	per laursen, ian white
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select date order by time asc limit 1	september 11
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select min ( coal-fired )	0.0
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select notes order by id asc limit 674	also known as cellcard incorporates the former mfone, incorporates the former hello axiata
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( # of overall seats won ) where # of overall seats won = '0 / 497'	2
[ header: season \| tier \| division \| place row 1 : 1970-01 \| 6 \| regional \| None row 2 : 2001/02 \| 6 \| 1a reg \| None row 3 : 2002/03 \| 5 \| reg. pref \| 11th row 4 : 2003/04 \| 5 \| reg. pref \| 9th row 5 : 2004/05 \| 5 \| reg. pref \| 1st row 6 : 2005/06 \| 4 \| 3a \| 20th row 7 : 2006/07 \| 5 \| reg. pref \| 3rd row 8 : 2007/08 \| 5 \| reg. pref \| 1st row 9 : 2008/09 \| 4 \| 3a \| 16th row 10 : 2009/10 \| 4 \| 3a \| 17th row 11 : 2010/11 \| 4 \| 3a \| 18th row 12 : 2011/12 \| 5 \| reg. pref \| 2nd ] Execute this SQL based on the above table: select place where tier = ( select tier where place = '11th' ) - 1	20th, 16th, 17th, 18th
[ header: name \| party \| province \| term expires \| years in office row 1 : william atkinson \| liberal \| central \| 1989 \| 1983-1984 row 2 : colin bell \| liberal \| lower west \| 1989 \| 1983-1989 row 3 : joe berinson \| labor \| north central metropolitan \| 1986 \| 1980-1993 row 4 : james brown \| labor \| south-east \| 1986 \| 1980-1992 row 5 : eric charlton \| national/np \| central \| 1989 \| 1984-1998 row 6 : des dans \| labor \| south metropolitan \| 1989 \| 1971-1989 row 7 : peter dowding \| labor \| north \| 1986 \| 1980-1986 row 8 : graham edwards \| labor \| north metropolitan \| 1989 \| 1983-1997 row 9 : lyla elliott \| labor \| north-east metropolitan \| 1986 \| 1971-1986 row 10 : vic ferry \| liberal \| south-west \| 1989 \| 1965-1987 row 11 : harry gayfer \| national/ncp \| central \| 1986 \| 1974-1989 row 12 : clive griffiths \| liberal \| south central metropolitan \| 1989 \| 1965-1997 row 13 : kay hallahan \| labor \| south-east metropolitan \| 1989 \| 1983-1993 row 14 : bob hetherington \| labor \| south-east metropolitan \| 1986 \| 1977-1989 row 15 : garry kelly \| labor \| south metropolitan \| 1986 \| 1982-1993 row 16 : thomas knight \| liberal \| south \| 1986 \| 1974-1986 row 17 : sandy lewis \| liberal \| lower central \| 1986 \| 1974-1989 row 18 : phil lockyer \| liberal \| lower north \| 1986 \| 1980-1997 row 19 : margaret mcaleer \| liberal \| upper west \| 1986 \| 1974-1993 row 20 : fred mckenzie \| labor \| north-east metropolitan \| 1989 \| 1977-1993 row 21 : graham mackinnon \| liberal \| south west \| 1986 \| 1956-1986 row 22 : thomas mcneil \| national/np \| upper west \| 1989 \| 1977-1989 row 23 : gordon masters \| liberal \| west \| 1986 \| 1974-1989 row 24 : ian medcalf \| liberal \| metropolitan \| 1986 \| 1968-1986 row 25 : norman moore \| liberal \| lower north \| 1989 \| 1977-2013 row 26 : mark nevill \| labor \| south-east \| 1989 \| 1983-2001 row 27 : neil oliver \| liberal \| west \| 1989 \| 1977-1989 row 28 : phillip pendal \| liberal \| south central metropolitan \| 1986 \| 1980-1993 row 29 : sam piantadosi \| labor \| north central metropolitan \| 1989 \| 1983-1996 row 30 : ian pratt \| liberal \| lower west \| 1986 \| 1974-1986 row 31 : tom stephens \| labor \| north \| 1989 \| 1982-2004 row 32 : bill stretch \| liberal \| lower central \| 1989 \| 1983-2005 row 33 : peter wells \| liberal \| north metropolitan \| 1986 \| 1980-1986 row 34 : richard williams \| liberal \| metropolitan \| 1989 \| 1971-1989 row 35 : david wordsworth \| liberal \| south \| 1989 \| 1971-1993 ] Execute this SQL based on the above table: select count ( * ) where province = 'south-east'	2
[ 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 driver order by equipment desc limit 1	maris rupeiks
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( state/territory ) where city = 'latur'	1
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select count ( remixed by ) where year not null	4
[ header: year \| goalkeeper \| defenders \| midfielders \| forwards row 1 : 1988 \| tony meola, virginia \| jeff agoos, virginia \| henry gutierrez, nc \| scott benedetti, portl row 2 : 1993 \| tim deck, wisconsin \| shane batelle, st \| brian kamler, creighton ja \| keith defini, creighton row 3 : 1996 \| jon busch, charlotte \| tahj jakins, u \| mike fisher, virginia \| tony kuhn, vander row 4 : 1998 \| adin brown, william & \| matt chulis, virginia \| lazo alavanja, indian \| chris albright, virginia row 5 : 2000 \| chris hamblin, boston \| chris gbandi, \| carl bussey, sm \| chris carrieri, unc row 6 : 2001 \| byron foss, sm \| chris gbandi, \| luchi gonzalez, \| nicholas mccrea row 7 : 2009 \| jeff attinella, south flori \| bobby warshaw, stanford \| kyle nakazawa, \| teal bunbury, akron col ] Execute this SQL based on the above table: select count ( * ) where defenders = 'bobby warshaw, stanford zach loyd, north carolina ike opara, wake forest'	0
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select capacitor type - capacitor type where power-to-weight ratio = '44.4 w/kg @ 5 a'	0
[ header: p.s. # \| school name \| neighborhood \| low grade \| high grade \| year closed \| building status row 1 : 1 \| school 1 \| lakeview \| k \| 8 \| 1976 \| demolished row 2 : 2 \| school 2 \| downtown \| k \| 8 \| 1961 \| demolished row 3 : 4 \| harbor heights elementary school \| first ward \| k \| 8 \| 2002 \| vacant row 4 : 5 \| school 5 \| kaisertown \| k \| 8 \| 1955 \| demolished row 5 : 8 \| follow through urban learning lab school \| masten park \| k \| 8 \| 2004 \| vacant row 6 : 9 \| school 9 \| schiller park \| k \| 8 \| 1980 \| demolished row 7 : 11 \| poplar academy \| schiller park \| k \| 4 \| 2009 \| vacant row 8 : 12 \| harriet ross tubman early \| willert park \| k \| 4 \| 2005 \| house office of special education row 9 : 14 \| school 14 \| downtown \| k \| 8 \| 1930s \| demolished row 10 : 15 \| school 15 \| downtown \| k \| 8 \| 1965 \| demolished row 11 : 20 \| school 20 \| black rock \| k \| 8 \| 1935 \| demolished row 12 : 21 \| school 21 \| north park \| k \| 8 \| 1980 \| demolished row 13 : 23 \| school 23 \| genesee moselle \| k \| 8 \| 1980 \| demolished row 14 : 24 \| school 24 \| broadway-fillmore \| k \| 8 \| 2002 \| vacant row 15 : 34 \| school 34 \| first ward \| k \| 8 \| 1976 \| demolished row 16 : 35 \| school 35 \| south ellicott \| k \| 8 \| 1933 \| demolished row 17 : 36 \| days park early childhood center \| allentown \| prek \| 4 \| 2009 \| houses elmwood village charter school row 18 : 41 \| school 41 \| johnson \| prek \| 8 \| 1976 \| demolished row 19 : 44 \| lincoln academy \| lovejoy \| k \| 8 \| 2005 \| houses alternative high school row 20 : 47 \| school 47 \| willert park \| prek \| 8 \| 1978 \| demolished row 21 : 49 \| school 49 \| front park \| k \| 8 \| 1980 \| community services building row 22 : 50 \| school 50 \| emsilie \| special \| education \| 1975 \| demolished row 23 : 52 \| school 52 \| forest \| k \| 8 \| 1980 \| demolished row 24 : 55 \| school 55 \| broadway-fillmore \| k \| 8 \| 1955 \| demolished row 25 : 58 \| school 58 \| broadway-fillmore \| k \| 8 \| 1961 \| demolished row 26 : 59 \| school 59 \| mlk park \| k \| 8 \| 1976 \| demolished row 27 : 60 \| riverside academy \| riverside \| prek \| 4 \| 2002 \| renovation row 28 : 62 \| school 62 \| mlk park \| k \| 8 \| 1980 \| houses crucial human services row 29 : 63 \| campus north school \| lasalle \| prek \| 8 \| 2007 \| vacant row 30 : 70 \| indian park academy \| cazenovia park \| k \| 8 \| 2002 \| vacant row 31 : 71 \| web early childhood center \| schiller park \| prek \| 4 \| 2007 \| vacant row 32 : 75 \| school 75 \| emslie \| k \| 8 \| 1979 \| vacant row 33 : 78 \| montessori e.c.c. \| lasalle \| prek \| 8 \| 2008 \| vacant row 34 : 83 \| school 83 \| university heights \| k \| 4 \| 1976 \| houses anderson gallery for university at buffalo row 35 : 86 \| st. lawrence academy \| starin central \| prek \| 4 \| 2004 \| houses bps' adult learning program row 36 : 93 \| school 93 \| hamlin park \| k \| 4 \| 1975 \| community action organization row 37 : 142 \| fulton academic complex \| perry \| k \| 8 \| 1982 \| opportunity center ] Execute this SQL based on the above table: select low grade where high grade > ( select high grade where low grade = 'prek' ) order by high grade limit 1	k
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select ( select duration of follow-up years where main author = 'pavie' ) - ( select duration of follow-up years where main author = 'duncan (a)' )	-1.0
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : average high °f (°c) \| 42.4 (5.8) \| 45.8 (7.7) \| 54.7 (12.6) \| 66.2 (19) \| 75.2 (24) \| 83.8 (28.8) \| 88.3 (31.3) \| 86.7 (30.4) \| 79.3 (26.3) \| 68.1 (20.1) \| 57.5 (14.2) \| 46.1 (7.8) \| 66.2 (19) row 2 : average low °f (°c) \| 24.9 (-3.9) \| 26.8 (-2.9) \| 34.5 (1.4) \| 44.1 (6.7) \| 54.8 (12.7) \| 63.8 (17.7) \| 69.0 (20.6) \| 67.5 (19.7) \| 59.6 (15.3) \| 48.2 (9) \| 38.0 (3.3) \| 29.4 (-1.4) \| 46.7 (8.2) row 3 : precipitation inches (mm) \| 3.16 (80.3) \| 3.03 (77) \| 4.10 (104.1) \| 3.81 (96.8) \| 4.56 (115.8) \| 4.23 (107.4) \| 4.05 (102.9) \| 3.43 (87.1) \| 4.60 (116.8) \| 3.98 (101.1) \| 4.21 (106.9) \| 3.77 (95.8) \| 46.93 (1,192) row 4 : snowfall inches (cm) \| 2.1 (5.3) \| 6.2 (15.7) \| .6 (1.5) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| .8 (2) \| 1.3 (3.3) \| 11.0 (27.9) row 5 : avg. precipitation days (≥ \| 8.9 \| 8.2 \| 9.6 \| 9.4 \| 10.5 \| 9.3 \| 9.1 \| 7.4 \| 8.3 \| 7.6 \| 8.2 \| 8.7 \| 105.2 row 6 : avg. snowy days (≥ \| 1.0 \| 1.0 \| .3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| .1 \| .4 \| 2.8 ] Execute this SQL based on the above table: select month where month = 'avg. snowy days (≥ 0.1 in)' and month = 'avg. snowy days (≥ 0.1 in)'	avg. snowy days (≥ 0.1 in)
[ header: season \| level \| division \| section \| position \| movements row 1 : 1960 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 2 : 1961 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 3 : 1962 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 4 : 1963 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 5 : 1964 \| tier 3 \| division 3 \| sodra norrland nedre \| 4th \| None row 6 : 1965 \| tier 3 \| division 3 \| sodra norrland nedre \| 10th \| relegated row 7 : 1966 \| tier 4 \| division 4 \| halsingland \| 9th \| None row 8 : 1967 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 9 : 1968 \| tier 4 \| division 4 \| halsingland \| 6th \| None row 10 : 1969 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 11 : 1970 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 12 : 1971 \| tier 4 \| division 4 \| halsingland \| 1st \| promotion playoffs - promoted row 13 : 1972 \| tier 3 \| division 3 \| norra svealand \| 6th \| None row 14 : 1973 \| tier 3 \| division 3 \| norra svealand \| 11th \| relegated row 15 : 1974 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 16 : 1975 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 17 : 1976 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 18 : 1977 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 19 : 1978 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 20 : 1979 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 21 : 1980 \| tier 3 \| division 3 \| sodra norrland \| 7th \| None row 22 : 1981 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 23 : 1982 \| tier 3 \| division 3 \| sodra norrland \| 12th \| relegated row 24 : 1982 \| tier 4 \| division 4 \| halsingland \| 3rd \| None ] Execute this SQL based on the above table: select position where id = ( select id where position = '4th' ) + 1	10th
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select count ( record )	13
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 22 june 2008 \| addis abeba \| mauritania \| 6-1 \| win \| 2010 wc qualification row 2 : 2 \| 30 november 2009 \| nairobi \| djibouti \| 5-0 \| win \| 2009 cecafa cup row 3 : 3 \| 8 october 2011 \| addis abeba \| madagascar \| 4-2 \| win \| 2012 caf qualification row 4 : 4 \| 2 december 2011 \| dar es salaam \| malawi \| 1-1 \| draw \| 2011 cecafa cup row 5 : 5 \| 17 june 2012 \| cotonou \| benin \| 1-1 \| draw \| 2013 africa cup of nations qualifier row 6 : 6 \| 8 september 2012 \| khartoum \| sudan \| 3-5 \| loss \| 2013 africa cup of nations qualifier row 7 : 7 \| 14 september 2012 \| addis abeba \| sudan \| 2-0 \| win \| 2013 africa cup of nations qualifier row 8 : 8 \| 21 january 2013 \| nelspruit \| zambia \| 1-1 \| draw \| 2013 africa cup of nations ] Execute this SQL based on the above table: select # where result = 'win'	1, 2, 3, 7
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| innes ireland \| team lotus \| lotus-climax \| 1.00:14.8 \| 4 row 2 : 2 \| stirling moss \| rob walker racing team \| cooper-climax \| + 2.8 s \| 2 row 3 : 3 \| chris bristow \| yeoman credit racing team \| cooper-climax \| + 1:05.0 s \| 1 row 4 : 4 \| bruce mclaren \| cooper car company \| cooper-climax \| + 1:17.6 s \| 6 row 5 : 5 \| graham hill \| owen racing organisation \| brm \| 41 laps \| 9 row 6 : 6 \| jo bonnier \| owen racing organisation \| brm \| 41 laps \| 10 row 7 : 7 \| tony brooks \| g.a. vandervell \| vanwall \| 41 laps \| 8 row 8 : ret \| roy salvadori \| c.t. atkins / high \| cooper-climax \| transmission \| 5 row 9 : ret \| harry schell \| yeoman credit racing team \| cooper-climax \| throttle \| 3 row 10 : ret \| mike taylor \| taylor & crawley \| lotus-climax \| engine \| 13 row 11 : ret \| keith greene \| gilby engineering \| cooper-climax \| None \| 12 row 12 : ret \| alan stacey \| team lotus \| lotus-climax \| oil pipe \| 11 row 13 : ret \| dan gurney \| owen racing organisation \| brm \| accident \| 7 row 14 : wd \| jack brabham \| cooper car company \| cooper-climax \| None \| None row 15 : wd \| geoff richardson \| geoff richardson \| cooper \| None \| None ] Execute this SQL based on the above table: select time/retired where id = ( select id where time/retired = '41 laps' ) + 1	41 laps
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select population where geographic coordinates = '39°1′8′′n 95°8′8′′w / 39.01889°n 95.13556°w'	1143.0
[ header: year \| deaths \| # of accidents row 1 : 2012 \| 794 \| 700 row 2 : 2011 \| 828 \| 117 row 3 : 2010 \| 1,115 \| 130 row 4 : 2009 \| 1,103 \| 122 row 5 : 2008 \| 884 \| 156 row 6 : 2007 \| 971 \| 147 row 7 : 2006 \| 1,294 \| 166 row 8 : 2005 \| 1,459 \| 185 row 9 : 2004 \| 771 \| 172 row 10 : 2003 \| 1,230 \| 199 row 11 : 2002 \| 1,413 \| 185 row 12 : 2001 \| 4,140 \| 200 row 13 : 2000 \| 1,582 \| 189 row 14 : 1999 \| 1,138 \| 211 ] Execute this SQL based on the above table: select sum ( deaths )	18722.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 16 november 2005 \| tehelne pole, bra \| spain \| 1-0 \| 1-1 \| 2006 fifa world cup play-offs row 2 : 2 \| 20 may 2006 \| stadion antona malatin \| belgium \| 1-0 \| 1-1 \| friendly row 3 : 3 \| 13 october 2007 \| stadion zimny, du \| san marino \| 5-0 \| 7-0 \| uefa euro 2008 qualifying row 4 : 4 \| 21 november 2007 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-5 \| uefa euro 2008 qualifying row 5 : 5 \| 9 september 2009 \| windsor park, belfast, northern \| northern ireland \| 0-2 \| 0-2 \| 2010 fifa world cup qualification row 6 : 6 \| 3 september 2010 \| pasienky, bratislava, \| macedonia \| 1-0 \| 1-0 \| uefa euro 2012 qualification row 7 : 7 \| 29 march 2011 \| stadion antona malatin \| denmark \| 1-1 \| 1-2 \| friendly ] Execute this SQL based on the above table: select result order by opponent asc limit 1	1-1
[ header: kant \| latitude \| longitude \| diameter row 1 : b \| 9.7° s \| 18.6° e \| 16 km row 2 : c \| 9.3° s \| 22.1° e \| 20 km row 3 : d \| 11.5° s \| 18.7° e \| 52 km row 4 : g \| 9.2° s \| 19.5° e \| 32 km row 5 : h \| 9.1° s \| 20.8° e \| 7 km row 6 : n \| 9.9° s \| 19.7° e \| 10 km row 7 : o \| 12.0° s \| 17.2° e \| 7 km row 8 : p \| 10.8° s \| 17.4° e \| 5 km row 9 : q \| 13.1° s \| 18.8° e \| 5 km row 10 : s \| 11.5° s \| 19.7° e \| 5 km row 11 : t \| 11.3° s \| 20.2° e \| 5 km row 12 : z \| 10.4° s \| 17.5° e \| 3 km ] Execute this SQL based on the above table: select kant where latitude > 449 order by latitude asc limit 835	h, g, c, b, n
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select carries where carries = 'u.s. route 101' order by location asc limit 1	u.s. route 101
[ header: rank \| swimmer \| country \| time \| note row 1 : 1 \| claudia poll \| costa rica \| 57.43 \| q row 2 : 2 \| vanessa garcia \| puerto rico \| 57.95 \| q row 3 : 3 \| arlene semeco \| venezuela \| 58.11 \| q row 4 : 4 \| heysi villarreal \| cuba \| 58.67 \| q row 5 : 5 \| mariana alvarado \| mexico \| 58.69 \| q row 6 : 6 \| carolina moreno \| mexico \| 59.11 \| q row 7 : 7 \| isabella tafur \| colombia \| 59.7 \| q row 8 : 8 \| ximena maria vilar \| venezuela \| 59.79 \| q row 9 : 9 \| nikia hillarie \| bahamas \| 59.92 \| None row 10 : 10 \| sharon fajardo \| honduras \| 1:00.45 \| None row 11 : 11 \| maria alvarez \| colombia \| 1:00.76 \| None row 12 : 12 \| alia atkinson \| jamaica \| 1:01.17 \| None row 13 : 13 \| alexis jordan \| barbados \| 1:01.79 \| None row 14 : 14 \| sharntelle mclean \| trinidad and tobago \| 1:03.26 \| None row 15 : 15 \| jennifer powell \| cayman islands \| 1:03.41 \| None row 16 : 16 \| nishani cicilson \| suriname \| 1:03.88 \| None row 17 : 17 \| sade daal \| suriname \| 1:04.70 \| None row 18 : 18 \| dalia torrez \| nicaragua \| 1:05.69 \| None row 19 : None \| gisela morales \| guatemala \| dns \| None row 20 : None \| alana dillette \| bahamas \| dns \| None row 21 : None \| pamela benitez \| el salvador \| dns \| None row 22 : None \| nilshaira isenia \| netherlands antilles \| dns \| None ] Execute this SQL based on the above table: select swimmer where country = 'bahamas'	nikia hillarie, alana dillette
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select count ( name ) where occupation = 'us coast guard (retired)'	1
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select abbreviation where cup = ( select cup where abbreviation = 'tkt' ) - 1	tapa 2, tarmo, team vanpa, tjk liepo, torre calcio, tota, tou/2, tp-seinajoki, trafk
[ header: club \| chinese \| city \| home stadium \| capacity \| average attendance row 1 : beijing guoanth \| 北京国安 \| beijing \| workers stadium \| 62000 \| 33342 row 2 : changchun yatai \| 长春亚泰 \| changchun \| development area stadium \| 25000 \| 10067 row 3 : changsha ginde \| 长沙金德 \| changsha \| helong stadium \| 55000 \| 10152 row 4 : chongqing lifan \| 重庆力帆 \| chongqing \| chongqing olympic \| 58680 \| 11433 row 5 : dalian shide \| 大连实德 \| dalian \| jinzhou stadium \| 30775 \| 12307 row 6 : hangzhou greentown \| 杭州绿城 \| hangzhou \| yellow dragon stadium \| 51139 \| 14550 row 7 : henan construction \| 河南建业 \| zhengzhou \| hanghai stadium \| 29000 \| 18630 row 8 : jiangsu sainty \| 江苏舜天 \| nanjing \| nanjing olympic \| 61443 \| 10667 row 9 : liaoning whowinp \| 辽宁宏运 \| shenyang \| shenyang tiexi stadium \| 24000 \| 10100 row 10 : nanchang hengyu \| 南昌衡源 \| nanchang \| nanchang bayi stadium \| 20000 \| 11680 row 11 : qingdao jonoon \| 青岛中能 \| qingdao \| qingdao tianta \| 20525 \| 6247 row 12 : shaanxi chan-ba \| 陕西浐灞 \| xi'an \| shaanxi province stadium \| 47565 \| 28053 row 13 : shandong luneng \| 山东鲁能 \| jinan \| shandong provincial stadium \| 43700 \| 15901 row 14 : shanghai shenhua \| 上海申花 \| shanghai \| hongkou stadium \| 33060 \| 12963 row 15 : shenzhen ruby \| 深圳红钻 \| shenzhen \| shenzhen stadium \| 32500 \| 12439 row 16 : tianjin teda \| 天津泰达 \| tianjin \| teda football stadium \| 36390 \| 14757 row 17 : total \| total \| total \| total \| total \| 14581 ] Execute this SQL based on the above table: select city where id = 10	nanchang
[ header: payload type (pt) \| name \| type \| no. of channels \| clock rate (hz) \| frame size (ms) \| default packet size (ms) \| description \| references row 1 : 5 \| dvi4 \| audio \| 1 \| 8000 \| any \| 20 \| ima adpcm audio 32 \| rfc 3551 row 2 : 11 \| l16 \| audio \| 1 \| 44100 \| any \| 20 \| linear pcm 16-bit audio 70 \| rfc 3551, page 27 row 3 : 15 \| g728 \| audio \| 1 \| 8000 \| 2.5 \| 20 \| itu-t g.728 audio \| rfc 3551 row 4 : 18 \| g729 \| audio \| 1 \| 8000 \| 10 \| 20 \| itu-t g.729 and \| rfc 3551, page 20 row 5 : 26 \| jpeg \| video \| 1 \| 90000 \| None \| None \| jpeg video \| rfc 2435 row 6 : 33 \| mp2t \| audio/video \| 1 \| 90000 \| None \| None \| mpeg-2 transport stream video \| rfc 2250 row 7 : 34 \| h263 \| video \| None \| 90000 \| None \| None \| h.263 video, first version ( \| rfc 3551, rf row 8 : 72 - 76 \| reserved for rtcp conflict avoidance \| None \| None \| None \| None \| None \| None \| rfc 3551, page 32 row 9 : dynamic \| h263-2000 \| video \| None \| 90000 \| None \| None \| h.263 video, third version \| rfc 4629 row 10 : dynamic (or profile) \| h264 \| video \| None \| 90000 \| None \| None \| h.264 video (mpeg-4 \| rfc 6184, previously r row 11 : dynamic \| pcma-wb \| audio \| None \| 16000 \| 5 \| None \| itu-t g.711.1, \| rfc 5391 row 12 : dynamic \| g7221 \| audio \| None \| 32000, 16000 \| 20 \| None \| itu-t g.722.1 \| rfc 5577 row 13 : dynamic \| g726-24 \| audio \| 1 \| 8000 \| any \| 20 \| itu-t g.726 audio \| rfc 3551 row 14 : dynamic \| g7291 \| audio \| None \| 16000 \| 20 \| None \| itu-t g.729.1 \| rfc 4749 row 15 : dynamic (or profile) \| speex \| audio \| 1 \| 8000, 16000 or 32000 \| 20 \| None \| rtp payload format for the spe \| rfc 5574 row 16 : dynamic (or profile) \| mp4v-es \| video \| None \| 90000 or others \| None \| recommended same as frame size \| rtp payload format for mp \| rfc 6416 (previously row 17 : dynamic (or profile) \| mpeg4-generic \| audio/video \| None \| 90000 or other \| None \| None \| rtp payload format for transport of \| rfc 3640 row 18 : dynamic \| vp8 \| video \| None \| 90000 \| None \| None \| rtp payload format for transport of \| draft-ietf-payload- row 19 : dynamic \| l8 \| audio \| (various) \| (various) \| any \| 20 \| linear pcm 8-bit audio with \| rfc 3551 section 4.5. ] Execute this SQL based on the above table: select frame size (ms) where frame size (ms) = 'any'	any, any, any, any
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select title order by uk desc limit 1	"behave"
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select country where id = ( select id where country = 'united states' ) - 1	russia
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| hammer \| 54.43 m row 2 : 2005 \| alba games \| la habana, cuba \| 1st \| hammer \| 63.30 m row 3 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 4th \| hammer \| 60.49 m row 4 : 2005 \| pan american junior championships \| windsor, canada \| 1st \| hammer \| 64.80 m row 5 : 2006 \| nacac u23 championships \| santo domingo, dominican \| 2nd \| hammer \| 66.28 m row 6 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| hammer \| 68.70 m row 7 : 2007 \| world championships \| osaka, japan \| 9th \| hammer \| 70.20 m row 8 : 2008 \| olympic games \| beijing, china \| 15th (q) \| hammer \| 68.74 m row 9 : 2009 \| alba games \| la habana, cuba \| 2nd \| hammer \| 68.89 m row 10 : 2009 \| central american and caribbean championships \| havana, cuba \| 1st \| hammer \| 71.32 m row 11 : 2009 \| world championships \| berlin, germany \| 16th (q) \| hammer \| 69.97 m row 12 : 2011 \| pan american games \| guadalajara, me \| 4th \| hammer \| 68.88 m row 13 : 2012 \| olympic games \| london, united kingdom \| 23rd (q) \| hammer \| 67.93 m ] Execute this SQL based on the above table: select notes where position <= 5 order by notes desc limit 1	71.32 m
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select team order by played limit 1968	sc internacional de sao paulo, minas gerais, aa das palmeiras, mackenzie, paulistano, palestra italia-sp, corinthians, ypiranga-sp, aa sao bento, santos
[ header: year \| host / location \| division i overall \| division i undergraduate \| division ii overall \| division ii community college row 1 : 1997 \| penn \| chicago \| None \| None \| None row 2 : 1998 \| vanderbilt \| stanford \| swarthmore \| harvard \| None row 3 : 1999 \| michigan \| chicago \| carleton \| princeton \| None row 4 : 2000 \| boston u \| illinois \| princeton \| harvard \| None row 5 : 2001 \| washington, st. louis \| chicago \| princeton \| pittsburgh \| None row 6 : 2002 \| north carolina \| michigan \| princeton \| yale \| valencia cc row 7 : 2003 \| ucla and caltech \| chicago \| harvard \| berkeley \| valencia cc row 8 : 2004 \| washington, st. louis \| cal-berkeley \| illinois \| ucla \| valencia cc row 9 : 2005 \| tulane \| michigan \| va commonwealth \| chicago \| faulkner st row 10 : 2006 \| maryland \| cal-berkeley \| williams college \| stanford \| broward cc row 11 : 2007 \| minnesota \| chicago \| carleton \| maryland \| valencia cc row 12 : 2008 \| washington, st. louis \| maryland \| harvard \| carleton \| valencia cc row 13 : 2009 \| dallas, texas \| chicago \| minnesota \| chicago \| northeast alabama cc row 14 : 2010 \| chicago, illinois \| chicago \| minnesota \| brown \| st. charles cc row 15 : 2011 \| chicago, illinois \| minnesota \| vcu \| yale \| chipola row 16 : 2012 \| chicago, illinois \| virginia \| ohio state \| harvard \| chipola row 17 : 2013 \| chicago, illinois \| yale \| ohio state \| stanford \| chipola row 18 : 2014 \| chicago, illinois \| virginia \| yale \| harvard \| valencia ] Execute this SQL based on the above table: select year group by year order by count ( division i overall ) desc limit 1	2014
[ header: club \| chinese \| city \| home stadium \| capacity \| average attendance row 1 : beijing guoanth \| 北京国安 \| beijing \| workers stadium \| 62000 \| 33342 row 2 : changchun yatai \| 长春亚泰 \| changchun \| development area stadium \| 25000 \| 10067 row 3 : changsha ginde \| 长沙金德 \| changsha \| helong stadium \| 55000 \| 10152 row 4 : chongqing lifan \| 重庆力帆 \| chongqing \| chongqing olympic \| 58680 \| 11433 row 5 : dalian shide \| 大连实德 \| dalian \| jinzhou stadium \| 30775 \| 12307 row 6 : hangzhou greentown \| 杭州绿城 \| hangzhou \| yellow dragon stadium \| 51139 \| 14550 row 7 : henan construction \| 河南建业 \| zhengzhou \| hanghai stadium \| 29000 \| 18630 row 8 : jiangsu sainty \| 江苏舜天 \| nanjing \| nanjing olympic \| 61443 \| 10667 row 9 : liaoning whowinp \| 辽宁宏运 \| shenyang \| shenyang tiexi stadium \| 24000 \| 10100 row 10 : nanchang hengyu \| 南昌衡源 \| nanchang \| nanchang bayi stadium \| 20000 \| 11680 row 11 : qingdao jonoon \| 青岛中能 \| qingdao \| qingdao tianta \| 20525 \| 6247 row 12 : shaanxi chan-ba \| 陕西浐灞 \| xi'an \| shaanxi province stadium \| 47565 \| 28053 row 13 : shandong luneng \| 山东鲁能 \| jinan \| shandong provincial stadium \| 43700 \| 15901 row 14 : shanghai shenhua \| 上海申花 \| shanghai \| hongkou stadium \| 33060 \| 12963 row 15 : shenzhen ruby \| 深圳红钻 \| shenzhen \| shenzhen stadium \| 32500 \| 12439 row 16 : tianjin teda \| 天津泰达 \| tianjin \| teda football stadium \| 36390 \| 14757 row 17 : total \| total \| total \| total \| total \| 14581 ] Execute this SQL based on the above table: select club order by club desc limit 1	total
[ header: volume \| year \| names \| articles \| pages \| images \| maps \| number of copies row 1 : 1 \| 1974 \| ա-արգինա \| 3442 \| 720 \| 1294 \| 75 \| 100000 row 2 : 2 \| 1976 \| արգիշտի-գեղերվան \| 3503 \| 720 \| 1798 \| 75 \| 100000 row 3 : 3 \| 1977 \| գեղեցիկը-զուրաբյան \| 3509 \| 720 \| 1726 \| 53 \| 100000 row 4 : 4 \| 1978 \| է-խաղխաղ \| 3451 \| 720 \| 1228 \| 53 \| 100000 row 5 : 5 \| 1979 \| խաղող-կուլիսներ \| 3694 \| 720 \| 1326 \| 68 \| 100000 row 6 : 6 \| 1980 \| կուլզոր-ձուլուկ \| 3108 \| 720 \| 1097 \| 64 \| 100000 row 7 : 7 \| 1981 \| ձուլում-մոնոպխոնք \| 3250 \| 720 \| 1436 \| 46 \| 100000 row 8 : 8 \| 1982 \| մոնոպոլիա-չեչերեկ \| 3145 \| 720 \| 1274 \| 70 \| 100000 row 9 : 9 \| 1983 \| չեչքար-ռստակես \| 3185 \| 720 \| 1046 \| 60 \| 100000 row 10 : 10 \| 1984 \| ռստամ-սսհմ \| 2009 \| 736 \| 1065 \| 61 \| 100000 row 11 : 11 \| 1985 \| սովետական-տիեզերք \| 2970 \| 720 \| 958 \| 67 \| 100000 row 12 : 12 \| 1986 \| տիեպոլո-ֆուքսին \| 3501 \| 752 \| 1015 \| 96 \| 100000 row 13 : total \| 1974-1986 \| ա-ֆուքսին \| 36767 \| 8688 \| 15263 \| 858 \| 1200000 row 14 : 13 \| 1987 \| սովետական հայաստան \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select maps where names = 'ա-ֆուքսին'	858.0
[ header: name of president \| picture \| life span \| year of presidency \| place of conference row 1 : pherozeshah meh \| 75px \| 4 august 1845 - 1915 \| 1890 \| calcutta row 2 : womesh chunder bonnerjee \| None \| 29 december 1844 - 1906 \| 1892 \| allahabad row 3 : surendranath banerjee \| None \| 10 november 1848 - 1925 \| 1895 \| poona row 4 : rahimtulla m. say \| None \| 5 april 1847 - 19 \| 1896 \| calcutta row 5 : anandamohan bose \| None \| 23 september 1847 - 1906 \| 1898 \| madras row 6 : romesh chunder dutt \| None \| 13 august 1848 - 1909 \| 1899 \| lucknow row 7 : henry cotton \| None \| 1845-1915 \| 1904 \| bombay row 8 : dadabhai naoroji \| None \| 4 september 1825 - 1917 \| 1906 \| calcutta row 9 : nawab syed muhammad \| None \| None \| 1913 \| karachi row 10 : annie besant \| None \| 1 october 1847 - \| 1917 \| calcutta row 11 : madan mohan malaviya \| None \| 25 december 1861 - 1946 \| 1918 \| delhi row 12 : hakim ajmal khan \| None \| 1863- 29 december 1927 \| 1921 \| ahmedabad row 13 : mohammad ali jouhar \| None \| 10 december 1878- 4 jan \| 1923 \| kakinada row 14 : mohandas gandhi \| None \| 2 october 1869- 30 \| 1924 \| belgaum row 15 : sarojini naidu \| None \| 13 february 1879- 2 march 1949 \| 1925 \| kanpur row 16 : madan mohan malaviya \| None \| 25 december 1861 - 1946 \| 1932 \| delhi row 17 : jawaharlal nehru \| None \| 14 november 1889- 27 may 1964 \| 1936 \| lucknow row 18 : jawaharlal nehru \| None \| 14 november 1889- 27 may 1964 \| 1954 \| calcutta row 19 : u. n. dhebar \| None \| 21 september 1905 - 1977 \| 1957 \| indore row 20 : neelam sanji \| None \| 19 may 1913- 1 june 1996 \| 1960 \| bangalore row 21 : neelam sanji \| None \| 19 may 1913- 1 june 1996 \| 1962 & 63 \| patna row 22 : k. kamaraj \| None \| 15 july 1903- 2 o \| 1964 \| bhubaneswar row 23 : p. mehul \| None \| 10 december 1902- 9 august 2000 \| 1969 \| faridabad row 24 : indira gandhi \| None \| 19 november 1917 - 31 o \| 1978 - 83 \| delhi row 25 : sonia gandhi \| None \| 9 december 1946- \| 1998-present \| calcutta ] Execute this SQL based on the above table: select count ( name of president )	25
[ header: wrestler: \| times: \| date: \| location: \| notes: row 1 : jonnie stewart \| 1 \| june 6, 1996 \| rochester, minnesota \| defeated larry gligorovich to row 2 : king kong bundy \| 1 \| march 31, 1999 \| oshkosh, wiscons \| later stripped of the title by owner dale row 3 : the patriot (danny dominion) \| 1 \| july 29, 2000 \| pine bluff, arkansa \| defeated dale gagne in an impro row 4 : ricky enrique \| 1 \| july 29, 2000 \| pine bluff, arkansa \| None row 5 : eric priest \| 1 \| june 3, 2001 \| hillside, illinois \| None row 6 : evan karagias \| 1 \| march 22, 2002 \| casa grande, arizona \| None row 7 : horshu \| 1 \| october 12, 2002 \| mercedes, texas \| stripped of the title due to missing mandatory title defense row 8 : evan karagias \| 2 \| july 6, 2003 \| lemoore, california \| defeated eric priest to win the vac row 9 : steve corino \| 1 \| june 11, 2005 \| bay city, michigan \| None row 10 : shinjiro otani \| 1 \| january 22, 2006 \| tokyo, japan \| None row 11 : takao omori \| 2 \| april 1, 2006 \| tokyo, japan \| None row 12 : ric converse \| 1 \| june 14, 2006 \| indianapolis, indiana \| None row 13 : steve corino \| 2 \| january 7, 2007 \| pottstown, pennsyl \| on march 23, 2007, corino lost the title row 14 : takao omori \| 3 \| march 31, 2007 \| yokohama, japan \| None row 15 : masato tanaka \| 1 \| october 26, 2007 \| tokyo, japan \| None row 16 : larry zbyszko \| 1 \| february 5, 2008 \| minneapolis, minnesot \| title awarded row 17 : brian logan \| None \| april 20, 2008 \| fayetteville, west virgini \| logan defeated zbyszko row 18 : ricky landell \| 1 \| october 11, 2008 \| indianapolis, indiana \| title becomes known as the wsl world row 19 : keith walker \| 1 \| february 21, 2009 \| michigan city, indiana \| None ] Execute this SQL based on the above table: select count ( location: ) where times: >= 'None'	0
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( year ) where year = 2004	3
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan (jpn) \| 9 \| 0 \| 1 \| 10 row 2 : 2 \| iran (iri) \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| syria (syr \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| indonesia (ina) \| 0 \| 3 \| 2 \| 5 row 5 : 5 \| vietnam (vie) \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| chinese taipei \| 0 \| 1 \| 3 \| 4 row 7 : 7 \| kuwait (kuw) \| 0 \| 1 \| 1 \| 2 row 8 : 7 \| saudi arabia (ksa) \| 0 \| 1 \| 1 \| 2 row 9 : 9 \| malaysia (mas) \| 0 \| 0 \| 3 \| 3 row 10 : 10 \| brunei (bru) \| 0 \| 0 \| 2 \| 2 row 11 : 10 \| philippines (phi) \| 0 \| 0 \| 2 \| 2 row 12 : 12 \| macau (mac) \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| nepal (nep) \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| tajikistan (tjk) \| 0 \| 0 \| 1 \| 1 row 15 : 12 \| united arab emirates (uae \| 0 \| 0 \| 1 \| 1 row 16 : total \| total \| 11 \| 11 \| 20 \| 42 ] Execute this SQL based on the above table: select nation order by id desc limit 1	total
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select venue where competition in ( 'world youth championships' , 'jeux de la francophonie' ) order by event desc limit 1	sherbrooke, canada
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 21 \| ottawa senators \| 5-2 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 26 \| toronto arenas \| 2-5 \| ottawa senators \| 2-0-0 \| 4 row 3 : 3 \| december 31 \| ottawa senators \| 2-4 \| toronto arenas \| 2-1-0 \| 4 row 4 : 4 \| january 2 \| montreal canadiens \| 2-7 \| ottawa senators \| 3-1-0 \| 6 row 5 : 5 \| january 4 \| ottawa senators \| 2-5 \| montreal canadiens \| 3-2-0 \| 6 row 6 : 6 \| january 9 \| toronto arenas \| 2-4 \| ottawa senators \| 4-2-0 \| 8 row 7 : 7 \| january 14 \| ottawa senators \| 2-5 \| toronto arenas \| 4-3-0 \| 8 row 8 : 8 \| january 16 \| montreal canadiens \| 10-6 \| ottawa senators \| 4-4-0 \| 8 row 9 : 9 \| january 18 \| ottawa senators \| 3-5 \| montreal canadiens \| 4-5-0 \| 8 row 10 : 10 \| january 23 \| toronto arenas \| 2-3 \| ottawa senators \| 5-5-0 \| 10 row 11 : 11 \| january 25 \| ottawa senators \| 1-0 \| montreal canadiens \| 1-0-0 \| 2 row 12 : 12 \| january 28 \| ottawa senators \| 2-1 \| toronto arenas \| 2-0-0 \| 4 row 13 : 13 \| january 30 \| montreal canadiens \| 2-3 \| ottawa senators \| 3-0-0 \| 6 row 14 : 14 \| february 6 \| toronto arenas \| 1-3 \| ottawa senators \| 4-0-0 \| 8 row 15 : 15 \| february 8 \| ottawa senators \| 3-4 \| montreal canadiens \| 4-1-0 \| 18 row 16 : 16 \| february 13 \| montreal canadiens \| 0-7 \| ottawa senators \| 5-1-0 \| 10 row 17 : 17 \| february 18 \| ottawa senators \| 4-3 \| toronto arenas \| 6-1-0 \| 12 row 18 : 18 \| february 20 \| toronto arenas \| 3-9 \| ottawa senators \| 7-1-0 \| 14 ] Execute this SQL based on the above table: select visitor order by pts limit 1	ottawa senators
[ header: name \| population (2002 census) \| population (2007 estimation) \| population (2011 census) \| area (km2) \| density (pop/km2) row 1 : brasov \| 283901 \| 277945 \| 253200 \| 267.32 \| 1204 row 2 : codlea \| 24256 \| 24550 \| 21708 \| 132.79 \| 182 row 3 : sacele \| 30044 \| 31796 \| 30798 \| 320 \| 93 row 4 : ghimbav \| 5100 \| 5357 \| 4698 \| 28.08 \| 181.62 row 5 : predeal \| 5625 \| 5174 \| 4755 \| 58.4 \| 96.14 row 6 : rasnov \| 15436 \| 16055 \| 15022 \| 164.36 \| 94 row 7 : cristian \| 3952 \| 4300 \| 4490 \| 27.73 \| 142.51 row 8 : sanpetru \| 3401 \| 3759 \| 4819 \| 30.74 \| 110.63 row 9 : halchiu \| 4072 \| 4560 \| 4218 \| 56.67 \| 71.85 row 10 : tarlungeni \| 7413 \| 7996 \| 8320 \| 135.66 \| 54.65 row 11 : prejmer \| 8323 \| 8876 \| 8472 \| 60.48 \| 137.61 row 12 : harman \| 4437 \| 4775 \| 5402 \| 52.79 \| 84.05 row 13 : bod \| 3942 \| 4173 \| 3994 \| 33.56 \| 117.46 row 14 : total \| 399902 \| 399316 \| 369896 \| 1368.58 \| 270 ] Execute this SQL based on the above table: select name order by name limit 1	bod
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select township where id = ( select id where township = 'caneyville' ) + 1	center
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network order by season desc limit 1	cbs
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select to par where place = 't5' and country = 'united states'	-5, -5, -5
[ header: # \| date \| venue \| opponents \| score \| comp \| denmark scorers row 1 : 167 \| 1950-10-15 \| rasunda stadium, stockhol \| sweden \| 0-4 \| nc \| None row 2 : 179 \| 1952-07-25 \| pallokentta, hel \| yugoslavia \| 3-5 \| og \| knud lundberg, row 3 : 180 \| 1952-09-21 \| idrætsparken, \| netherlands \| 3-2 \| f \| kurt "nikkelaj" nie row 4 : 182 \| 1952-10-19 \| idrætsparken, \| norway \| 1-3 \| nc \| per jensen row 5 : 186 \| 1953-09-13 \| ullevaal stadion, \| norway \| 1-0 \| nc \| bent sørensen row 6 : 190 \| 1954-09-19 \| idrætsparken, \| switzerland \| 1-1 \| f \| jørgen olesen row 7 : 195 \| 1955-06-19 \| idrætsparken, \| finland \| 2-1 \| nc \| jens peter hansen (2) row 8 : 210 \| 1957-06-18 \| olympic stadium, hel \| finland \| 0-2 \| ot \| None row 9 : 211 \| 1957-06-19 \| tammela stadion, \| norway \| 2-0 \| ot \| egon jensen, j row 10 : 214 \| 1957-09-22 \| ullevaal stadion, \| norway \| 2-2 \| nc \| poul pedersen, peder row 11 : 219 \| 1958-06-29 \| idrætsparken, \| norway \| 1-2 \| nc \| poul pedersen row 12 : 224 \| 1959-06-21 \| idrætsparken, \| sweden \| 0-6 \| nc \| None row 13 : 228 \| 1959-09-13 \| ullevaal stadion, \| norway \| 4-2 \| ogq nc \| harald nielsen, row 14 : 229 \| 1959-09-23 \| idrætsparken, \| czechoslovakia \| 2-2 \| enq \| poul pedersen, bent han ] Execute this SQL based on the above table: select count ( comp ) where comp != 'enq' and denmark scorers = ( select denmark scorers where comp = 'enq' )	0
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select location order by location desc limit 1	paris
[ header: car \| engine \| compression \| power \| torque \| turbo \| stock boost \| turbine \| compressor row 1 : '89 u12 bluebird l \| redtop \| 8.5:1 \| 150 kw (201 hp) \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 2 : '91-'95 u13 blue \| redtop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 3 : '95-'97 w10 \| silvertop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 4 : '97-'01 w11 \| silvertop \| 8.5:1 \| 169 kw (227 hp \| 203 lb·ft (275 \| t-25bb \| 9psi \| None \| None row 5 : '90-'94 n14 \| redtop \| 8.3:1 \| 169 kw (227 hp \| 210 lb·ft (280 \| t-28 \| 7psi \| 79 trim 53 mm (2.1 in) \| 60 trim 60 mm bci-1 row 6 : '91-'93 s13 si \| redtop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 7 : '94-'98 s13 180 \| blacktop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 8 : '95-'99 s14 si \| blacktop \| 8.5:1 \| 162 kw (217 hp \| 203 lb·ft (275 \| t-28 \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 row 9 : '99-02 s15 sil \| blacktop \| 8.5:1 \| 183 kw (245 hp \| 202 lb·ft (274 \| t-28bb \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 ] Execute this SQL based on the above table: select turbo where engine > ( select engine where turbo = 't-28' ) order by engine limit 1	t-25g
[ header: season \| series \| team \| races \| wins \| poles \| f/lap \| podiums \| points \| position row 1 : 2009 \| star mazda championship \| andersen racing \| 13 \| 1 \| 1 \| 3 \| 6 \| 416 \| 3rd row 2 : 2010 \| star mazda championship \| juncos racing \| 13 \| 7 \| 9 \| 7 \| 12 \| 539 \| 1st row 3 : 2011 \| indy lights \| sam schmidt motorsports \| 5 \| 1 \| 1 \| 2 \| 2 \| 145 \| 13th row 4 : 2011 \| gp3 series \| carlin motorsport \| 16 \| 0 \| 0 \| 0 \| 0 \| 10 \| 17th row 5 : 2012 \| gp3 series \| lotus gp \| 16 \| 1 \| 0 \| 0 \| 5 \| 106 \| 6th row 6 : 2012 \| masters of formula 3 \| double r racing \| 1 \| 0 \| 0 \| 0 \| 0 \| None \| 15th row 7 : 2012-13 \| mrf challenge formula 2000 \| mrf challenge \| 10 \| 4 \| 0 \| 1 \| 6 \| 164 \| 1st row 8 : 2013 \| gp2 series \| hilmer motorsport \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 26th row 9 : 2013 \| gp3 series \| art grand prix \| 16 \| 1 \| 1 \| 1 \| 6 \| 126 \| 3rd row 10 : 2013 \| indycar series \| a.j. foyt enterprises \| 1 \| 0 \| 0 \| 0 \| 0 \| 11 \| 34th row 11 : 2013 \| indy lights \| team moore racing \| 1 \| 0 \| 0 \| 0 \| 1 \| 35 \| 13th ] Execute this SQL based on the above table: select team where podiums = 0	carlin motorsport, double r racing, hilmer motorsport, a.j. foyt enterprises
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1999 \| universiade \| palma de mallorca, spain \| 2nd \| 20 km \| 1:25:23 row 2 : 2001 \| european race walking cup \| dudince, slovakia \| 12th \| 20 km \| 1:22:10 row 3 : 2001 \| world championships \| edmonton, canada \| 16th \| 20 km \| 1:25:28 row 4 : 2001 \| universiade \| beijing, china \| 1st \| 20 km \| 1:24:42 row 5 : 2002 \| european championships \| munich, germany \| 9th \| 20 km \| 1:21:21 row 6 : 2002 \| world race walking cup \| turin, italy \| 12th \| 20 km \| None row 7 : 2003 \| world championships \| paris, france \| 11th \| 20 km \| 1:20:34 pb row 8 : 2005 \| world championships \| helsinki, finland \| 14th \| 20 km \| None ] Execute this SQL based on the above table: select abs ( ( select event where venue = 'dudince, slovakia' ) - ( select event where venue = 'helsinki, finland' ) )	0.0
[ header: round \| selection \| player \| position \| college row 1 : 1 \| 22 \| desmond trufant \| cb \| washington row 2 : 2 \| 60 \| robert alford \| cb \| southeastern louisiana row 3 : 4 \| 127 \| malliciah goodman \| de \| clemson row 4 : 4 \| 133 \| levine toilolo \| te \| stanford row 5 : 5 \| 153 \| stansly maponga \| de \| tcu row 6 : 7 \| 243 \| kemal ishmael \| s \| central florida row 7 : 7 \| 244 \| zeke motta \| s \| notre dame row 8 : 7 \| 249 \| sean renfree \| qb \| duke ] Execute this SQL based on the above table: select selection where position = 'te'	133
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select length where ncbi name = 'gc12090'	1471
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( * )	13
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| france \| 28 \| 28 \| 24 \| 80 row 2 : 2 \| romania \| 16 \| 3 \| 5 \| 24 row 3 : 3 \| canada \| 14 \| 10 \| 15 \| 39 row 4 : 4 \| quebec \| 8 \| 4 \| 16 \| 28 row 5 : 5 \| morocco \| 6 \| 11 \| 7 \| 24 row 6 : 6 \| tunisia \| 4 \| 7 \| 1 \| 12 row 7 : 7 \| egypt \| 2 \| 5 \| 4 \| 11 row 8 : 8 \| switzerland \| 2 \| 1 \| 5 \| 8 row 9 : 9 \| senegal \| 2 \| 1 \| 3 \| 6 row 10 : 10 \| french community of belgium \| 1 \| 3 \| 6 \| 10 row 11 : 11 \| madagascar \| 1 \| 2 \| 3 \| 6 row 12 : 12 \| burkina faso \| 1 \| None \| 2 \| 3 row 13 : 13 \| togo \| 1 \| None \| 1 \| 2 row 14 : 14 \| guinea \| 1 \| None \| None \| 1 row 15 : 15 \| lebanon \| 1 \| None \| None \| 1 row 16 : 16 \| ivory coast \| None \| 3 \| 3 \| 6 row 17 : 17 \| republic of the congo \| None \| 3 \| 2 \| 5 row 18 : 18 \| new brunswick \| None \| 1 \| 2 \| 3 row 19 : 19 \| central african republic \| None \| 1 \| None \| 1 row 20 : 20 \| dominica \| None \| 1 \| None \| 1 row 21 : 21 \| gabon \| None \| 1 \| None \| 1 row 22 : 22 \| mali \| None \| 1 \| None \| 1 row 23 : 23 \| cambodia \| None \| None \| 2 \| 2 row 24 : 24 \| luxembourg \| None \| None \| 2 \| 2 row 25 : 25 \| mauritius \| None \| None \| 2 \| 2 row 26 : 26 \| burundi \| None \| None \| 1 \| 1 row 27 : 27 \| djibouti \| None \| None \| 1 \| 1 row 28 : 28 \| vietnam \| None \| None \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * ) where nation = 'central african republic'	1
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select count ( title ) where peak chart positions swi >= 30	0
[ header: year \| time \| windspeed \| city \| date \| row 1 : 2000 \| 11.45 \| -2.3 \| kingston \| 13 march \| the progression of powell's 100 m row 2 : 2001 \| 10.5 \| 0.4 \| kingston \| 22 june \| the progression of powell's 100 m row 3 : 2002 \| 10.12 \| 1.3 \| rovereto \| 28 august \| the progression of powell's 100 m row 4 : 2003 \| 10.02 \| 0.8 \| brussels \| 5 september \| the progression of powell's 100 m row 5 : 2004 \| 9.87 \| 0.2 \| brussels \| 3 september \| the progression of powell's 100 m row 6 : 2005 \| 9.77 \| 1.6 \| athens \| 14 june \| the progression of powell's 100 m row 7 : 2006 \| 9.77 \| 1 \| zurich \| 15 august \| the progression of powell's 100 m row 8 : 2007 \| 9.74 \| 1.7 \| rieti \| 9 september \| the progression of powell's 100 m row 9 : 2008 \| 9.72 \| 0.2 \| lausanne \| 2 september \| the progression of powell's 100 m row 10 : 2009 \| 9.82 \| 1.4 \| szczecin \| 15 september \| the progression of powell's 100 m row 11 : 2010 \| 9.82 \| 0.6 \| rome \| 10 june \| the progression of powell's 100 m row 12 : 2011 \| 9.78 \| 1 \| lausanne \| 30 june \| the progression of powell's 100 m ] Execute this SQL based on the above table: select count ( time ) where city = 'zurich'	1
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select count ( * ) where competition = 5	0
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where shoot location in ( 'pwsftvit łodz, poland' , 'pwsftvit łodz, poland' ) group by shoot location order by count ( * ) desc limit 1	pwsftvit łodz, poland
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select toss where test no = 861	lost
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| larry nelson \| united states \| 70-66-66-71=273 \| -7 \| 60000 row 2 : 2 \| fuzzy zoeller \| united states \| 70-68-68-71=277 \| -3 \| 40000 row 3 : 3 \| dan pohl \| united states \| 69-67-73-69=2 \| -2 \| 25000 row 4 : t4 \| isao aoki \| japan \| 75-68-66-70=279 \| -1 \| 13146 row 5 : t4 \| keith fergus \| united states \| 71-71-69-68=2 \| -1 \| 13146 row 6 : t4 \| bob gilder \| united states \| 74-69-70-66=2 \| -1 \| 13146 row 7 : t4 \| tom kite \| united states \| 71-67-69-72=2 \| -1 \| 13146 row 8 : t4 \| bruce lietzke \| united states \| 70-70-71-68=279 \| -1 \| 13146 row 9 : t4 \| jack nicklaus \| united states \| 71-68-71-69=2 \| -1 \| 13146 row 10 : t4 \| greg norman \| australia \| 73-67-68-71=2 \| -1 \| 13146 ] Execute this SQL based on the above table: select place where to par = ( select to par where place = 2 ) + 1	3
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select year / year where high school = 'kenton'	1, 1
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( notes ) where player = 'arron sears'	0
[ header: call-sign \| location \| rf \| psip \| programming row 1 : wivm-ld \| canton \| 39 \| 39.1 \| rtv row 2 : wivm-ld \| canton \| 39 \| 39.2 \| tuff tv row 3 : wivm-ld \| canton \| 39 \| 39.3 \| pbj row 4 : wivm-ld \| canton \| 39 \| 39.4 \| faith ministries radio (wjee-fm row 5 : wivn-ld \| newcomerstown \| 29 \| 29.1 \| rtv (wivm- row 6 : wivn-ld \| newcomerstown \| 29 \| 29.2 \| pbj row 7 : wivn-ld \| newcomerstown \| 29 \| 29.3 \| tuff tv row 8 : wivn-ld \| newcomerstown \| 29 \| 29.4 \| faith ministries radio (wjee-fm row 9 : wivx-ld \| loudonville \| 51 \| 51.1 \| rtv (wivm- row 10 : wivd-ld \| newcomerstown \| 22 \| 22.1 \| rtv (wivm- row 11 : w27dg-d \| millersburg \| 27 \| 27.1 \| rtv (wivm- ] Execute this SQL based on the above table: select call-sign order by psip + psip + psip limit 1	wivd-ld
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select producer(s) where producer(s) in ( 'andras vleminckx, jerome riouffreyt' , 'kat deluna ft fatman scoop' ) group by producer(s) order by count ( * ) desc limit 1	andras vleminckx, jerome riouffreyt
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 12 march 1978 \| dallas \| carpet \| martina navratilova \| evonne goolagong bett \| 6-3, 7-6 row 2 : runner-up \| 3 \| 18 february 1979 \| los angeles \| hard (i) \| martina navratilova \| rosemary casals chris evert \| 4-6, 6-1, 3-6 row 3 : winner \| 4 \| 12 august 1979 \| indianapolis \| clay \| kathy jordan \| penny johnson paula smith \| 6-1, 6-0 row 4 : winner \| 5 \| 28 october 1979 \| tampa \| hard \| virginia ruzici \| ilana kloss bett \| 7-5, 4-6, 7-5 row 5 : winner \| 6 \| 25 november 1979 \| brighton \| carpet \| ann kiyomura \| ilana kloss laura \| 6-2, 6-1 row 6 : runner-up \| 5 \| 2 december 1979 \| melbourne \| grass \| dianne fromholtz \| billie jean king wendy \| 3-6, 3-6 row 7 : runner-up \| 6 \| 10 february 1980 \| los angeles \| hard (i) \| kathy jordan \| rosemary casals martina navrati \| 6-7, 2-6 row 8 : winner \| 8 \| 7 june 1980 \| french open \| clay \| kathy jordan \| ivanna madruga ad \| 6-1, 6-0 row 9 : runner-up \| 10 \| 5 october 1980 \| minneapolis \| carpet \| paula smith \| ann kiyomura candy \| 3-6, 6-4, 1-6 row 10 : runner-up \| 12 \| 16 november 1980 \| tampa \| hard \| paula smith \| rosemary casals candy reynolds \| 6-7, 5-7 row 11 : runner-up \| 13 \| 15 march 1981 \| dallas \| carpet \| kathy jordan \| martina navratilova pa \| 5-7, 4-6 row 12 : runner-up \| 14 \| 21 june 1981 \| eastbourne \| grass \| kathy jordan \| martina navratilova pa \| 7-6, 2-6, 1-6 row 13 : runner-up \| 16 \| 16 august 1981 \| richmond \| carpet \| kathy jordan \| sue barker ann kiyo \| 6-4, 6-7, 4-6 row 14 : runner-up \| 20 \| 17 january 1982 \| cincinnati \| carpet \| pam shriver \| sue barker ann kiyo \| 2-6, 6-7 row 15 : runner-up \| 21 \| 24 january 1982 \| seattle \| carpet \| kathy jordan \| rosemary casals wendy turnbull \| 5-7, 4-6 row 16 : runner-up \| 30 \| 20 february 1983 \| chicago \| carpet \| kathy jordan \| martina navratilova pa \| 1-6, 2-6 row 17 : runner-up \| 32 \| 3 april 1983 \| tokyo \| carpet \| kathy jordan \| billie jean king shar \| 1-6, 1-6 row 18 : winner \| 24 \| 24 april 1983 \| orlando \| clay \| billie jean king \| martina navratilova pa \| 6-3, 1-6, 7-6 row 19 : winner \| 26 \| 31 march 1985 \| palm beach gardens \| clay \| joanne russell \| laura arraya gabriela sa \| 1-6, 6-1, 7-6(4) ] Execute this SQL based on the above table: select no. where no. in ( 6 , 32 ) order by no. desc limit 1	32
[ header: season \| tier \| division \| place row 1 : 2005/06 \| 5 \| 1a aut. pref \| None row 2 : 2006/07 \| 4 \| 3a \| 19th row 3 : 2007/08 \| 5 \| 1a aut. pref \| 2nd row 4 : 2008/09 \| 4 \| 3a \| 18th row 5 : 2009/10 \| 5 \| 1a aut. pref \| 3rd row 6 : 2010/11 \| 5 \| 1a aut. pref \| 9th row 7 : 2011/12 \| 5 \| 1a aut. pref \| 8th row 8 : 2012/13 \| 5 \| 1a aut. pref \| 11th row 9 : 2013/14 \| 5 \| 1a aut. pref \| None ] Execute this SQL based on the above table: select sum ( tier ) where tier <= 4	8.0
[ header: # \| name \| age \| disappeared \| found row 1 : 1 \| wendy lee coffield \| 16 \| july 8, 1982 \| july 15, 1982 row 2 : 3 \| debra lynn bonner \| 23 \| july 25, 1982 \| august 12, 1982 row 3 : 4 \| marcia fay chapman \| 31 \| august 1, 1982 \| august 15, 1982 row 4 : 5 \| cynthia jean hind \| 17 \| august 11, 1982 \| august 15, 1982 row 5 : 6 \| opal charmaine mills \| 16 \| august 12, 1982 \| august 15, 1982 row 6 : 7 \| terry rene milligan \| 16 \| august 29, 1982 \| april 1, 1984 row 7 : 9 \| debra lorraine estes \| 15 \| september 20, 1982 \| may 30, 1988 row 8 : 11 \| denise darcel bush \| 23 \| october 8, 1982 \| june 12, 1985 row 9 : 13 \| shirley marie sherrill \| 18 \| october 20-22, 1982 \| june 1985 row 10 : 14 \| rebecca "becky" marr \| 20 \| december 3, 1982 \| december 21, 2010 row 11 : 15 \| colleen renee brock \| 15 \| december 24, 1982 \| may 26, 1984 row 12 : 18 \| delores laverne willi \| 17 \| march 8-14, 1983 \| march 31, 1984 row 13 : 19 \| gail lynn mathews \| 23 \| april 10, 1983 \| september 18, 1983 row 14 : 20 \| andrea m. childers \| 19 \| april 14, 1983 \| october 11, 1989 row 15 : 21 \| sandra kay gabbert \| 17 \| april 17, 1983 \| april 1, 1984 row 16 : 22 \| kimi-kai pitsor \| 16 \| april 17, 1983 \| december 15, 1983 row 17 : 23 \| marie m. malvar \| 18 \| april 30, 1983 \| september 26, 2003 row 18 : 24 \| carol ann christensen \| 21 \| may 3, 1983 \| may 8, 1983 row 19 : 25 \| martina theresa authorlee \| 18 \| may 22, 1983 \| november 14, 1984 row 20 : 26 \| cheryl lee wims \| 18 \| may 23, 1983 \| march 22, 1984 row 21 : 27 \| yvonne "shelly" anto \| 19 \| may 31, 1983 \| october 15, 1983 row 22 : 28 \| carrie ann rois \| 15 \| may 31 - june 13, 1983 \| march 10, 1985 row 23 : 31 \| tina marie thomp \| 21 \| july 25, 1983 \| april 20, 1984 row 24 : 32 \| april dawn buttram \| 16 \| august 18, 1983 \| august 30, 2003 row 25 : 34 \| tracy ann winston \| 19 \| september 12, 1983 \| march 27, 1986 row 26 : 36 \| mary sue bello \| 25 \| october 11, 1983 \| october 12, 1984 row 27 : 37 \| pammy annette avent \| 15 \| october 26, 1983 \| august 16, 2003 row 28 : 38 \| delise louise plager \| 22 \| october 30, 1983 \| february 14, 1984 row 29 : 39 \| kimberly l. nels \| 21 \| november 1, 1983 \| june 14, 1986 row 30 : 40 \| lisa yates \| 19 \| december 23, 1983 \| march 13, 1984 row 31 : 42 \| cindy anne smith \| 17 \| march 21, 1984 \| june 27, 1987 row 32 : 45 \| marta reeves \| 36 \| march 5, 1990 \| september 20, 1990 row 33 : 46 \| patricia yellowrobe \| 38 \| january 1998 \| august 6, 1998 row 34 : 47 \| unidentified white female \| 12-17 \| died prior to may 1983 \| march 21, 1984 row 35 : 49 \| unidentified female \| 13-24 \| 1973-1993 \| august 2003 ] Execute this SQL based on the above table: select name where id = ( select id where name = 'terry rene milligan' ) - 1	opal charmaine mills
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select opponent order by attendance limit 1	wimbledon
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select season where movements = 'promoted'	2009
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select interferometer and observing mode order by accuracy of phase measurements (milli-radians) limit 1	gi2t visible
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select position order by concacaf champions league limit 1	fw
[ header: make/model \| series \| model \| year \| notes row 1 : new flyer \| 101-135 \| d40lfr \| 2010 \| None row 2 : new flyer \| 140-169 \| d40lfr \| 2011 \| 140-143 145-153 155- row 3 : new flyer \| 201-230 \| d40lf \| 2004 \| 204 retired due to fire row 4 : new flyer \| 231-260 \| d40lf \| 2005 \| None row 5 : new flyer \| 270-281 \| d40lf \| 2007 \| None row 6 : mci \| 301-334 \| classic \| 1988 \| all retired row 7 : new flyer \| 340-366 \| d40 \| 1992 \| 365 remains, used only during rush hour row 8 : new flyer \| 370-399 \| d40 \| 1994 \| 370 371 372 373 374 row 9 : new flyer \| 401-443 \| d40lf \| 1998 \| all have been rebuilt row 10 : new flyer \| 444-504 \| d40lf \| 1999 \| all have been rebuilt row 11 : new flyer \| 510-561 \| d40lf \| 2002 \| being rebuilt 510 513 515 516 row 12 : new flyer \| 570-599 \| d40lf \| 2003 \| None row 13 : new flyer \| 601-640 \| d40lfr \| 2011 \| 601 603 605 wrap for r row 14 : new flyer \| 671-699 \| d40 \| 1994 \| 684 retired, used only during rush hour row 15 : new flyer \| 701-733 \| d40lfr \| 2008 \| None row 16 : new flyer \| 735-799 \| d40lfr \| 2009 \| None row 17 : new flyer \| 800-829 \| d40lfr \| 2013 \| 800-830 now inservice 822 had row 18 : new flyer \| 901-910 \| invero/d40i \| 2004 \| ex701-710 only used for rush hour row 19 : new flyer \| 911-925 \| d30lf \| 1996 \| all rebuild row 20 : new flyer \| 930-949 \| d30lf \| 2001 \| 931 rebuild row 21 : new flyer \| 971-990 \| d60lf \| 2003 \| ex octranspo most units are between row 22 : new flyer \| 991-993 \| d40lf \| 1994 \| all rebuilt, used only during rush hour ] Execute this SQL based on the above table: select count ( notes ) where year = 2003	1
[ header: season \| level \| name \| position \| nationality \| international caps row 1 : 1973 \| 1 \| kevin beattie \| defender \| england \| 9 row 2 : 1974 \| 1 \| kevin beattie \| defender \| england \| 9 row 3 : 1975 \| 1 \| colin viljoen \| midfielder \| england \| 2 row 4 : 1976 \| 1 \| allan hunter \| defender \| northern ireland \| 53 row 5 : 1977 \| 1 \| george burley \| defender \| scotland \| 11 row 6 : 1978 \| 1 \| mick mills \| defender \| england \| 42 row 7 : 1979 \| 1 \| arnold muhren \| midfielder \| netherlands \| 23 row 8 : 1980 \| 1 \| frans thijssen \| midfielder \| netherlands \| 14 row 9 : 1981 \| 1 \| paul cooper \| goalkeeper \| england \| None row 10 : 1982 \| 1 \| alan brazil \| striker \| scotland \| 13 row 11 : 1983 \| 1 \| paul mariner \| striker \| england \| 35 row 12 : 1984 \| 1 \| trevor putney \| midfielder \| england \| None row 13 : 1985 \| 1 \| terry butcher \| defender \| england \| 77 row 14 : 1986 \| 1 \| terry butcher \| defender \| england \| 77 row 15 : 1987 \| 2 \| romeo zondervan \| midfielder \| netherlands \| 6 row 16 : 1988 \| 2 \| frank yallop \| defender \| canada \| 52 row 17 : 1989 \| 2 \| john wark \| midfielder \| scotland \| 29 row 18 : 1990 \| 2 \| john wark \| midfielder \| scotland \| 29 row 19 : 1991 \| 2 \| david linighan \| defender \| england \| None row 20 : 1992 \| 2 \| john wark \| midfielder \| scotland \| 29 row 21 : 1993 \| 1 \| mick stockwell \| midfielder \| england \| None row 22 : 1994 \| 1 \| john wark \| midfielder \| scotland \| 29 row 23 : 1995 \| 1 \| craig forrest \| goalkeeper \| canada \| 56 row 24 : 1996 \| 2 \| simon milton \| midfielder \| england \| None row 25 : 1997 \| 2 \| mauricio taricco \| defender \| argentina \| None row 26 : 1999 \| 2 \| jamie clapham \| defender \| england \| None row 27 : 2000 \| 2 \| james scowcroft \| striker \| england \| None row 28 : 2001 \| 1 \| marcus stewart \| striker \| england \| None row 29 : 2002 \| 1 \| mark venus \| defender \| england \| None row 30 : 2003 \| 2 \| matt holland \| midfielder \| ireland \| 49 row 31 : 2004 \| 2 \| ian westlake \| midfielder \| england \| None row 32 : 2005 \| 2 \| shefki kuqi \| striker \| finland \| 60 row 33 : 2006 \| 2 \| fabian wilnis \| defender \| netherlands \| None row 34 : 2007 \| 2 \| sylvain legwinski \| midfielder \| france \| None row 35 : 2008 \| 2 \| jonathan walters \| striker \| ireland \| 19 row 36 : 2009 \| 2 \| richard wright \| goalkeeper \| england \| 2 row 37 : 2010 \| 2 \| gareth mcauley \| defender \| northern ireland \| 21 row 38 : 2011 \| 2 \| jimmy bullard \| midfielder \| england \| None row 39 : 2012 \| 2 \| aaron cresswell \| defender \| england \| None row 40 : 2013 \| 2 \| tommy smith \| defender \| new zealand \| 22 ] Execute this SQL based on the above table: select nationality where name > ( select name where position = 'striker' ) order by name asc limit 1	northern ireland
[ header: treaty \| organization \| introduced \| signed \| ratified row 1 : convention on the prevention and punishment of the crime of \| united nations \| 1948 \| None \| 1958 row 2 : international convention on the elimination of all forms of \| united nations \| 1966 \| 1967 \| 1970 row 3 : international covenant on economic, social and cultural rights \| united nations \| 1966 \| 1977 \| 1979 row 4 : international covenant on civil and political rights \| united nations \| 1966 \| 1977 \| 1979 row 5 : first optional protocol to the international covenant on civil and \| united nations \| 1966 \| None \| None row 6 : convention on the non-applicability of \| united nations \| 1968 \| None \| None row 7 : international convention on the suppression and punishment of the crime \| united nations \| 1973 \| None \| None row 8 : convention on the elimination of all forms of discrimination \| united nations \| 1979 \| None \| 1993 row 9 : convention against torture and other cruel, inhuman or \| united nations \| 1984 \| 1986 \| 1993 row 10 : convention on the rights of the child \| united nations \| 1989 \| 1990 \| 1993 row 11 : second optional protocol to the international covenant on civil and \| united nations \| 1989 \| None \| None row 12 : international convention on the protection of the rights of all \| united nations \| 1990 \| 1991 \| 1993 row 13 : optional protocol to the convention on the elimination of all \| united nations \| 1999 \| None \| None row 14 : optional protocol to the convention on the rights of the \| united nations \| 2000 \| 2000 \| 2002 row 15 : optional protocol to the convention on the rights of the \| united nations \| 2000 \| 2000 \| 2001 row 16 : convention on the rights of persons with disabilities \| united nations \| 2006 \| 2007 \| 2009 row 17 : optional protocol to the convention on the rights of persons \| united nations \| 2006 \| None \| 2009 row 18 : international convention for the protection of all persons from enforce \| united nations \| 2006 \| 2007 \| 2013 row 19 : optional protocol to the international covenant on economic, social \| united nations \| 2008 \| None \| None row 20 : optional protocol to the convention on the rights of the \| united nations \| 2011 \| 2012 \| None ] Execute this SQL based on the above table: select count ( treaty ) where ratified > 1861	13
[ header: pos \| no \| driver \| constructor \| lap \| gap row 1 : 1 \| 98 \| walt faulkner \| kurtis kraft-offenhaus \| 4:27.97 \| None row 2 : 2 \| 28 \| fred agabashian \| kurtis kraft-offenhaus \| 4:31.10 \| + 3.13 row 3 : 3 \| 31 \| mauri rose \| deidt-offenhauser \| 4:32.07 \| + 4.10 row 4 : 4 \| 5 \| george connor \| lesovsky-offenhauser \| 4:32.39 \| + 4.42 row 5 : 5 \| 1 \| johnnie parsons \| kurtis kraft-offenhaus \| 4:32.43 \| + 4.46 row 6 : 6 \| 49 \| jack mcgrath \| kurtis kraft-offenhaus \| 4:33.00 \| + 5.03 row 7 : 7 \| 69 \| duke dinsmore \| kurtis kraft-offenhaus \| 4:34.67 \| + 6.70 row 8 : 8 \| 14 \| tony bettenhausen \| deidt-offenhauser \| 4:34.92 \| + 6.95 row 9 : 9 \| 17 \| joie chitwood \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 10 : 10 \| 3 \| bill holland \| deidt-offenhauser \| 4:35.90 \| + 7.93 row 11 : 11 \| 59 \| pat flaherty \| kurtis kraft-offenhaus \| 4:37.76 \| + 9.79 row 12 : 12 \| 54 \| cecil green \| kurtis kraft-offenhaus \| 4:30.86 \| + 2.89 row 13 : 13 \| 18 \| duane carter \| stevens-offenhauser \| 4:33.42 \| + 5.45 row 14 : 14 \| 21 \| spider webb \| maserati-offenhauser \| 4:37.46 \| + 9.49 row 15 : 16 \| 2 \| myron fohr \| marchese-offenhauser \| 4:33.32 \| + 5.35 row 16 : 17 \| 24 \| bayliss levrett \| adams-offenhauser \| 4:34.43 \| + 6.46 row 17 : 18 \| 45 \| dick rathmann \| watson-offenhauser \| 4:34.96 \| + 6.99 row 18 : 19 \| 7 \| paul russo \| nichels-offenhauser \| 4:35.25 \| + 7.28 row 19 : 21 \| 12 \| henry banks \| maserati-offenhauser \| 4:37.68 \| + 9.71 row 20 : 22 \| 67 \| bill schindler \| snowberger-offenhauser \| 4:31.31 \| + 3.34 row 21 : 23 \| 8 \| lee wallard \| moore-offenhauser \| 4:31.83 \| + 3.86 row 22 : 24 \| 55 \| troy ruttman \| lesovsky-offenhauser \| 4:32.91 \| + 4.94 row 23 : 26 \| 15 \| mack hellings \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 24 : 27 \| 22 \| jimmy davies \| ewing-offenhauser \| 4:36.07 \| + 8.10 row 25 : 29 \| 27 \| walt ader \| rae-offenhauser \| 4:37.05 \| + 9.08 row 26 : 30 \| 77 \| jackie holmes \| olson-offenhauser \| 4:37.57 \| + 9.60 row 27 : 32 \| 61 \| jimmy jackson \| kurtis kraft-cummins \| 4:38.62 \| + 10.65 row 28 : 33 \| 62 \| johnny mcdowell \| kurtis kraft-offenhaus \| 4:37.58 \| + 9.61 ] Execute this SQL based on the above table: select count ( gap ) where gap > 2012	0
[ 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 player where player in ( 'al guepe' , 'dwight hafeli' , 'bill docherty' ) order by pick # desc limit 1	al guepe
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select opponent where opponent in ( 'philadelphia wings' , 'toronto rock' ) order by attendance desc limit 1	toronto rock
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select total length where carries = 'redwood highway'	550 feet
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select count ( event ) where sport = 'boxing'	1
[ header: season \| date \| driver \| team \| chassis \| engine \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 2005 \| july 17 \| sebastien bourdais \| newman/haas racing \| lola \| ford-cosworth \| 88 \| 173.624 (279.42) \| 1:38:55 \| 105.302 \| report row 2 : 2006 \| july 23 \| justin wilson \| rusport \| lola \| ford-cosworth \| 85 \| 167.705 (269.895) \| 1:40:30 \| 100.112 \| report row 3 : 2007 \| july 22 \| sebastien bourdais \| newman/haas/lanigan racing \| panoz \| cosworth \| 96 \| 189.408 (304.822) \| 1:45:41 \| 107.517 \| report row 4 : 2008 \| july 26 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 91 \| 179.543 (288.946) \| 1:51:06 \| 96.967 \| report row 5 : 2009 \| july 26 \| will power \| penske racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:42:42 \| 109.498 \| report row 6 : 2010 \| july 25 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:50:37 \| 101.666 \| report row 7 : 2011 \| july 24 \| will power \| penske racing \| dallara \| honda \| 80 \| 180.48 (290.454) \| 1:57:23 \| 90.949 \| report row 8 : 2012 \| july 22 \| helio castroneves \| penske racing \| dallara \| chevrolet \| 75 \| 169.2 (272.301) \| 1:38:51 \| 101.246 \| report ] Execute this SQL based on the above table: select count ( * ) where season < 2007	2
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 3 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 4 : 1993 \| taxi hunter \| 的士判官 \| yan \| None row 5 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 6 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 7 : 1994 \| lantern \| 燈籠 \| fong \| None row 8 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 9 : 1995 \| shaolin kung fu kids \| 笑林老祖 \| sister lam \| None row 10 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 11 : 1995 \| a chinese odyss \| 西遊記大結局之仙履奇緣 \| lin zixia \| None row 12 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 13 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 14 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 15 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 16 : 1998 \| tricky king \| 超級整蠱霸王 \| dkny / yand \| None row 17 : 1998 \| step into the dark \| 夜半無人屍語時 \| faith ching \| None row 18 : 1998 \| shanghai affairs \| 新唐山大兄 \| sin \| None row 19 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 20 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 21 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 22 : 1999 \| the h.k. triad \| o記三合會檔案 \| None \| None row 23 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 24 : 1999 \| raped by an angel 4: the \| 強姦終極篇之最後羔羊 \| po-man \| None row 25 : 1999 \| horoscope 1: the voice from \| 生人勿近之問米 \| jojo \| None row 26 : 2000 \| love correction \| 緣份有take 2 \| emma lau \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| stowaway \| 驚天大逃亡 \| kam lan \| None row 29 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 30 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 31 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 32 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 33 : 2004 \| sex and the beauties \| 性感都市 \| kwan tak-han \| None row 34 : 2004 \| love is a many stupid thing \| 精裝追女仔2004 \| chu yan \| guest star ] Execute this SQL based on the above table: select title where year = ( select year where title = 'a chinese odyssey part two: cinderella' ) + 1	the feeling of love, hero of swallow
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select film where id = ( select id where film = 'triunghiul mortii ("triangle of death")' ) + 1	az alombanya
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select count ( source coordinates ) where variant name(s) not null and variant name(s) not null	2
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select count ( * )	19
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select party order by # desc limit 1	republican turkish party
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| keiji mutoh \| 4 \| 19 \| 1238 row 2 : 2 \| hiroshi tanahashi \| 6 \| 27 \| 1237 row 3 : 3 \| shinya hashimoto \| 3 \| 20 \| 1052 row 4 : 4 \| tatsumi fujinami \| 6 \| 13 \| 785 row 5 : 5 \| kensuke sasaki \| 5 \| 9 \| 647 row 6 : 6 \| yuji nagata \| 2 \| 12 \| 570 row 7 : 7 \| kazuchika okada \| 2 \| 10 \| 556 row 8 : 8 \| kazuyuki fujita \| 3 \| 3 \| 478 row 9 : 9 \| big van vader \| 3 \| 4 \| 451 row 10 : 10 \| shinsuke nakamur \| 3 \| 9 \| 390 row 11 : 11 \| riki choshu \| 3 \| 5 \| 383 row 12 : 12 \| antonio inoki \| 1 \| 4 \| 325 row 13 : 13 \| brock lesnar \| 1 \| 3 \| 280 row 14 : 14 \| hiroyoshi tenzan \| 4 \| 2 \| 197 row 15 : 15 \| yoshihiro takayama \| 1 \| 3 \| 185 row 16 : 16 \| satoshi kojima \| 2 \| 2 \| 168 row 17 : 17 \| togi makabe \| 1 \| 3 \| 161 row 18 : 18 \| scott norton \| 2 \| 4 \| 126 row 19 : 19 \| nobuhiko takada \| 1 \| 1 \| 116 row 20 : 20 \| bob sapp \| 1 \| 1 \| 66 row 21 : 21 \| salman hashimikov \| 1 \| 0 \| 48 row 22 : 21 \| tadao yas \| 1 \| 1 \| 48 row 23 : 23 \| manabu nakanishi \| 1 \| 0 \| 45 row 24 : 24 \| masahiro chono \| 1 \| 0 \| 44 row 25 : 25 \| genichiro tenryu \| 1 \| 0 \| 25 ] Execute this SQL based on the above table: select count ( * ) where wrestler = 'big van vader'	1
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select year where role = 'marge simpson'	1992, 2007
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select sum ( attendance ) where loss = 'balester (1-1)'	28814.0
[ header: year \| tournament \| venue \| result \| extra row 1 : 2002 \| european indoor championships \| vienna, austria \| 5th \| None row 2 : 2003 \| universiade \| daegu, south korea \| 3rd \| None row 3 : 2004 \| world indoor championships \| budapest, hungary \| 1st \| 2.04 pbi row 4 : 2004 \| summer olympics \| athens, greece \| 1st \| 2.06 nr row 5 : 2004 \| world athletics final \| monte carlo, monaco \| 1st \| None row 6 : 2006 \| world indoor championships \| moscow, russia \| 1st \| 2.02 row 7 : 2006 \| european championships \| gothenburg, sweden \| 5th \| 1.99 m row 8 : 2006 \| world athletics final \| stuttgart, germany \| 4th \| None row 9 : 2006 \| world cup \| athens, greece \| 1st \| 1.97 row 10 : 2007 \| world championships \| osaka, japan \| 4th \| None row 11 : 2008 \| summer olympics \| beijing, china \| 4th \| 2.01 row 12 : 2011 \| world championships \| daegu, korea \| 4th \| 1.97 ] Execute this SQL based on the above table: select extra where tournament = 'summer olympics'	2.06, 2.01
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select count ( * ) where competition = '2008 afc youth championship qualification' and category > 1042	1
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # desc limit 1	interlude
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select place where id = 2	boipatong

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input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: year \| title \| role \| notes row 1 : 1980 \| hawaii five-o \| neal forrester \| episode: "the flight of the jewels" row 2 : 1982 \| american playhouse \| jed jenkins \| episode: "the fifth of july" row 3 : 1991 \| saturday night live \| host \| episode: jeff daniels/ row 4 : 1993 \| frasier \| doug \| episode: "here's looking at you row 5 : 1995 \| saturday night live \| host \| episode: jeff daniels/ row 6 : 2010 \| planet sheen \| glonb \| episode: "what's up chock?" row 7 : 2012-present \| the newsroom \| will mcavoy \| 19 episodes primetime emmy award for ] Execute this SQL based on the above table: select year where title = 'saturday night live'	1991, 1995
[ header: date \| opponents \| h/a \| result f-a \| scorers \| attendance row 1 : 27 august 1921 \| everton \| a \| 0-5 \| None \| 30000 row 2 : 29 august 1921 \| west bromwich albion \| h \| 2-3 \| partridge, robinson \| 20000 row 3 : 3 september 1921 \| everton \| h \| 2-1 \| harrison, spence \| 25000 row 4 : 7 september 1921 \| west bromwich albion \| a \| 0-0 \| None \| 15000 row 5 : 10 september 1921 \| chelsea \| a \| 0-0 \| None \| 35000 row 6 : 17 september 1921 \| chelsea \| h \| 0-0 \| None \| 28000 row 7 : 24 september 1921 \| preston north end \| a \| 2-3 \| lochhead, partridge \| 25000 row 8 : 1 october 1921 \| preston north end \| h \| 1-1 \| spence \| 30000 row 9 : 15 october 1921 \| tottenham hotspur \| h \| 2-1 \| sapsford, spence \| 30000 row 10 : 22 october 1921 \| manchester city \| a \| 1-4 \| spence \| 24000 row 11 : 5 november 1921 \| middlesbrough \| h \| 3-5 \| lochhead, sapsford, spence \| 30000 row 12 : 12 november 1921 \| middlesbrough \| a \| 0-2 \| None \| 18000 row 13 : 26 november 1921 \| aston villa \| h \| 1-0 \| henderson \| 33000 row 14 : 3 december 1921 \| bradford city \| a \| 1-2 \| spence \| 15000 row 15 : 10 december 1921 \| bradford city \| h \| 1-1 \| henderson \| 9000 row 16 : 17 december 1921 \| liverpool \| a \| 1-2 \| sapsford \| 40000 row 17 : 24 december 1921 \| liverpool \| h \| 0-0 \| None \| 30000 row 18 : 26 december 1921 \| burnley \| h \| 0-1 \| None \| 15000 row 19 : 2 january 1922 \| sheffield united \| a \| 0-3 \| None \| 18000 row 20 : 14 january 1922 \| newcastle united \| h \| 0-1 \| None \| 20000 row 21 : 21 january 1922 \| sunderland \| a \| 1-2 \| sapsford \| 10000 row 22 : 28 january 1922 \| sunderland \| h \| 3-1 \| lochhead, sapsford, spence \| 18000 row 23 : 11 february 1922 \| huddersfield town \| h \| 1-1 \| spence \| 30000 row 24 : 27 february 1922 \| huddersfield town \| a \| 1-1 \| sapsford \| 30000 row 25 : 11 march 1922 \| arsenal \| h \| 1-0 \| spence \| 30000 row 26 : 18 march 1922 \| blackburn rovers \| h \| 0-1 \| None \| 30000 row 27 : 5 april 1922 \| arsenal \| a \| 1-3 \| lochhead \| 25000 row 28 : 8 april 1922 \| bolton wanderers \| a \| 0-1 \| None \| 28000 row 29 : 15 april 1922 \| oldham athletic \| h \| 0-3 \| None \| 30000 row 30 : 17 april 1922 \| sheffield united \| h \| 3-2 \| harrison, lochhead, partridge \| 28000 row 31 : 22 april 1922 \| oldham athletic \| a \| 1-1 \| lochhead \| 30000 row 32 : 29 april 1922 \| cardiff city \| h \| 1-1 \| partridge \| 18000 ] Execute this SQL based on the above table: select opponents where result f-a = '0-0' order by opponents asc limit 1686	chelsea, chelsea, liverpool, west bromwich albion
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select change where id = ( select id where change = '-18.7%' ) - 1	+10.7%
[ header: # \| player \| pos \| pts \| tries \| conv \| pens \| drop \| opposition \| venue \| date row 1 : 1 \| stefano bettarello \| fly-half \| 29 \| 1 \| 2 \| 5 \| 2 \| canada \| toronto \| 1 july 1982 row 2 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 1 \| 6 \| 3 \| scotland \| rome \| 5 february 2000 row 3 : 1 \| diego dominguez \| fly-half \| 29 \| 0 \| 4 \| 7 \| 0 \| fiji \| treviso \| 10 november 2001 row 4 : 4 \| diego dominguez \| fly-half \| 28 \| 1 \| 7 \| 3 \| 0 \| netherlands \| calvisano \| 21 may 1994 row 5 : 5 \| diego dominguez \| fly-half \| 27 \| 1 \| 2 \| 6 \| 0 \| ireland \| bologna \| 20 december 1997 row 6 : 6 \| diego dominguez \| fly-half \| 25 \| 0 \| 5 \| 5 \| 0 \| romania \| tarbes \| 26 october 1997 row 7 : 7 \| luigi troiani \| fly-half \| 24 \| 0 \| 12 \| 0 \| 0 \| czech republic \| viadana \| 18 may 1994 row 8 : 7 \| diego dominguez \| fly-half \| 24 \| 0 \| 0 \| 8 \| 0 \| romania \| catania \| 1 october 1994 row 9 : 7 \| mirco bergamasco \| wing \| 24 \| 0 \| 0 \| 8 \| 0 \| fiji \| modena \| 27 november 2010 row 10 : 10 \| 3 players on 23 points \| None \| None \| None \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select venue where pens = ( select pens where venue = 'treviso' ) + 1	catania, modena
[ header: school \| location \| control \| type \| enrollment \| founded row 1 : air force institute of technology \| wright-patterson af \| public \| dru \| 719 \| 1919 row 2 : california institute of technology \| pasadena, californi \| private \| ru/vh \| 2231 \| 1891 row 3 : california polytechnic state \| san luis obispo, \| public \| master's l \| 18762 \| 1901 row 4 : california state polytechnic \| pomona, california \| public \| master's l \| 22273 \| 1938 row 5 : clarkson university \| potsdam, ny \| private \| ru/h \| 3187 \| 1896 row 6 : colorado school of mines \| golden, colorado \| public \| ru/h \| 4296 \| 1874 row 7 : colorado technical university \| colorado springs, colorad \| private \| dru \| 30020 \| 1965 row 8 : florida institute of technology \| melbourne, florida \| private \| dru \| 8985 \| 1958 row 9 : georgia institute of technology \| atlanta, georgia \| public \| ru/vh \| 20487 \| 1885 row 10 : illinois institute of technology \| chicago, illinois \| private \| ru/h \| 7787 \| 1890 row 11 : massachusetts institute of technology \| cambridge, massachusetts \| private \| ru/vh \| 10894 \| 1861 row 12 : michigan technological university \| houghton, michigan \| public \| ru/h \| 6957 \| 1885 row 13 : missouri university of science and technology \| rolla, missouri \| public \| ru/h \| 7521 \| 1870 row 14 : montana tech of the university of montan \| butte, montana \| public \| bac/diverse \| 2694 \| 1900 row 15 : new jersey institute of technology \| newark, new jersey \| private \| ru/h \| 9558 \| 1881 row 16 : new mexico institute of mining and technology \| socorro, new mexico \| public \| master's m \| 1921 \| 1889 row 17 : oregon institute of technology \| klamath falls, oregon \| public \| bac/diverse \| 3927 \| 1947 row 18 : polytechnic institute of new york university \| brooklyn, new york \| private \| ru/h \| 4514 \| 1854 row 19 : rensselaer polytechnic institute \| troy, new york \| private \| ru/vh \| 7521 \| 1824 row 20 : rochester institute of technology \| henrietta, new york \| private \| master's l \| 17652 \| 1829 row 21 : rose-hulman institute of technology \| terre haute, indiana \| private \| spec/engg \| 1970 \| 1874 row 22 : south dakota school of mines and technology \| rapid city, south dakota \| public \| spec/engg \| 2354 \| 1885 row 23 : southern polytechnic state university \| marietta, georgia \| public \| master's m \| 6202 \| 1948 row 24 : stevens institute of technology \| hoboken, new jersey \| private \| ru/h \| 5260 \| 1870 row 25 : texas tech university \| lubbock, texas \| public \| ru/h \| 32327 \| 1923 row 26 : university of wisconsin-stout \| menomonie, wisconsin \| public \| master's l \| 9339 \| 1891 row 27 : virginia polytechnic institute and state university \| blacksburg, virginia \| public \| ru/vh \| 30739 \| 1872 ] Execute this SQL based on the above table: select school order by id desc limit 1	virginia polytechnic institute and state university
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select description where se europe (hungary, romania, yugoslavia & slovakia) > 1240 order by description limit 1037	cause undetermined, deported( forced labor ussr), during the wartime flight, in internment camps, total confirmed deaths, total population before flight & expulsion, total unsolved cases, violent deaths
[ header: year \| date \| winner \| result \| loser \| attendance \| location row 1 : 1980 \| oct 19 \| chicago bears \| 24-7 \| detroit lions \| None \| chicago, illinois row 2 : 1980 \| nov 27 \| chicago bears \| 23-17 (ot) \| detroit lions \| 58508 \| pontiac, michigan row 3 : 1981 \| oct 19 \| detroit lions \| 48-17 \| chicago bears \| 75397 \| pontiac, michigan row 4 : 1981 \| nov 22 \| detroit lions \| 23-7 \| chicago bears \| 71273 \| chicago, illinois row 5 : 1982 \| sept 12 \| detroit lions \| 17-10 \| chicago bears \| 50082 \| pontiac, michigan row 6 : 1982 \| nov 21 \| chicago bears \| 20-17 \| detroit lions \| 46783 \| chicago, illinois row 7 : 1983 \| oct 16 \| detroit lions \| 31-17 \| chicago bears \| 66709 \| pontiac, michigan row 8 : 1983 \| oct 30 \| detroit lions \| 38-17 \| chicago bears \| 58764 \| chicago, illinois row 9 : 1984 \| nov 18 \| chicago bears \| 16-14 \| detroit lions \| 54911 \| chicago, illinois row 10 : 1984 \| dec 16 \| chicago bears \| 30-13 \| detroit lions \| 53252 \| pontiac, michigan row 11 : 1985 \| nov 10 \| chicago bears \| 24-3 \| detroit lions \| 53467 \| chicago, illinois row 12 : 1985 \| dec 22 \| chicago bears \| 37-17 \| detroit lions \| 74042 \| pontiac, michigan row 13 : 1986 \| oct 26 \| chicago bears \| 13-7 \| detroit lions \| 62064 \| chicago, illinois row 14 : 1986 \| dec 15 \| chicago bears \| 16-13 \| detroit lions \| 75602 \| pontiac, michigan row 15 : 1987 \| nov 22 \| chicago bears \| 30-10 \| detroit lions \| 63357 \| chicago, illinois row 16 : 1988 \| oct 9 \| chicago bears \| 24-7 \| detroit lions \| 64526 \| pontiac, michigan row 17 : 1988 \| dec 11 \| chicago bears \| 13-12 \| detroit lions \| 55010 \| chicago, illinois row 18 : 1989 \| sept 24 \| chicago bears \| 47-27 \| detroit lions \| 71418 \| pontiac, michigan row 19 : 1989 \| dec 10 \| detroit lions \| 27-17 \| chicago bears \| 52650 \| chicago, illinois ] Execute this SQL based on the above table: select attendance where location = 'pontiac, michigan'	58508, 75397, 50082, 66709, 53252, 74042, 75602, 64526, 71418
[ header: player \| year \| round \| result \| opponent row 1 : raymond van barneveld \| 2009 \| quarter-final \| won \| jelle klaasen row 2 : raymond van barneveld \| 2010 \| 2nd round \| won \| brendan dolan row 3 : adrian lewis \| 2011 \| final \| won \| gary anderson row 4 : dean winstanley \| 2013 \| 2nd round \| lost \| vincent van der voort row 5 : michael van gerwen \| 2013 \| semi final \| won \| james wade row 6 : terry jenkins \| 2014 \| 1st round \| lost \| per laursen row 7 : kyle anderson \| 2014 \| 1st round \| lost \| ian white ] Execute this SQL based on the above table: select opponent where round = '1st round'	per laursen, ian white
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select date order by time asc limit 1	september 11
[ header: pollutant \| units \| emission standard \| coal-fired \| petroleum coke-fired row 1 : so2 \| lb/mmbtu \| ≤ 0.15 \| 0.0-0.04 \| 0.03-0.13 row 2 : nox \| lb/mmbtu \| ≤ 0.09 \| 0.04-0.06 \| 0.02 row 3 : solid particulate \| lb/mmbtu \| ≤ 0.011 \| 0.004 \| 0.007 row 4 : pm10 \| lb/mmbtu \| ≤ 0.011 \| 0.006 \| 0.004 row 5 : so3 \| lb/hour \| ≤ 1.1 \| 0.43 \| 0 row 6 : fluoride \| lb/mmbtu \| ≤ 1.57×10-4 \| 1.06×10-4 \| 0.95×10-4 row 7 : lead \| lb/mmbtu \| ≤ 2.6×10-5 \| 0.56×10-5 \| 0.59×10-5 row 8 : mercury \| lb/mmbtu \| ≤ 1.05×10-5 \| 0.095×10-5 \| 0.028×10-5 ] Execute this SQL based on the above table: select min ( coal-fired )	0.0
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select notes order by id asc limit 674	also known as cellcard incorporates the former mfone, incorporates the former hello axiata
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( # of overall seats won ) where # of overall seats won = '0 / 497'	2
[ header: season \| tier \| division \| place row 1 : 1970-01 \| 6 \| regional \| None row 2 : 2001/02 \| 6 \| 1a reg \| None row 3 : 2002/03 \| 5 \| reg. pref \| 11th row 4 : 2003/04 \| 5 \| reg. pref \| 9th row 5 : 2004/05 \| 5 \| reg. pref \| 1st row 6 : 2005/06 \| 4 \| 3a \| 20th row 7 : 2006/07 \| 5 \| reg. pref \| 3rd row 8 : 2007/08 \| 5 \| reg. pref \| 1st row 9 : 2008/09 \| 4 \| 3a \| 16th row 10 : 2009/10 \| 4 \| 3a \| 17th row 11 : 2010/11 \| 4 \| 3a \| 18th row 12 : 2011/12 \| 5 \| reg. pref \| 2nd ] Execute this SQL based on the above table: select place where tier = ( select tier where place = '11th' ) - 1	20th, 16th, 17th, 18th
[ header: name \| party \| province \| term expires \| years in office row 1 : william atkinson \| liberal \| central \| 1989 \| 1983-1984 row 2 : colin bell \| liberal \| lower west \| 1989 \| 1983-1989 row 3 : joe berinson \| labor \| north central metropolitan \| 1986 \| 1980-1993 row 4 : james brown \| labor \| south-east \| 1986 \| 1980-1992 row 5 : eric charlton \| national/np \| central \| 1989 \| 1984-1998 row 6 : des dans \| labor \| south metropolitan \| 1989 \| 1971-1989 row 7 : peter dowding \| labor \| north \| 1986 \| 1980-1986 row 8 : graham edwards \| labor \| north metropolitan \| 1989 \| 1983-1997 row 9 : lyla elliott \| labor \| north-east metropolitan \| 1986 \| 1971-1986 row 10 : vic ferry \| liberal \| south-west \| 1989 \| 1965-1987 row 11 : harry gayfer \| national/ncp \| central \| 1986 \| 1974-1989 row 12 : clive griffiths \| liberal \| south central metropolitan \| 1989 \| 1965-1997 row 13 : kay hallahan \| labor \| south-east metropolitan \| 1989 \| 1983-1993 row 14 : bob hetherington \| labor \| south-east metropolitan \| 1986 \| 1977-1989 row 15 : garry kelly \| labor \| south metropolitan \| 1986 \| 1982-1993 row 16 : thomas knight \| liberal \| south \| 1986 \| 1974-1986 row 17 : sandy lewis \| liberal \| lower central \| 1986 \| 1974-1989 row 18 : phil lockyer \| liberal \| lower north \| 1986 \| 1980-1997 row 19 : margaret mcaleer \| liberal \| upper west \| 1986 \| 1974-1993 row 20 : fred mckenzie \| labor \| north-east metropolitan \| 1989 \| 1977-1993 row 21 : graham mackinnon \| liberal \| south west \| 1986 \| 1956-1986 row 22 : thomas mcneil \| national/np \| upper west \| 1989 \| 1977-1989 row 23 : gordon masters \| liberal \| west \| 1986 \| 1974-1989 row 24 : ian medcalf \| liberal \| metropolitan \| 1986 \| 1968-1986 row 25 : norman moore \| liberal \| lower north \| 1989 \| 1977-2013 row 26 : mark nevill \| labor \| south-east \| 1989 \| 1983-2001 row 27 : neil oliver \| liberal \| west \| 1989 \| 1977-1989 row 28 : phillip pendal \| liberal \| south central metropolitan \| 1986 \| 1980-1993 row 29 : sam piantadosi \| labor \| north central metropolitan \| 1989 \| 1983-1996 row 30 : ian pratt \| liberal \| lower west \| 1986 \| 1974-1986 row 31 : tom stephens \| labor \| north \| 1989 \| 1982-2004 row 32 : bill stretch \| liberal \| lower central \| 1989 \| 1983-2005 row 33 : peter wells \| liberal \| north metropolitan \| 1986 \| 1980-1986 row 34 : richard williams \| liberal \| metropolitan \| 1989 \| 1971-1989 row 35 : david wordsworth \| liberal \| south \| 1989 \| 1971-1993 ] Execute this SQL based on the above table: select count ( * ) where province = 'south-east'	2
[ 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 driver order by equipment desc limit 1	maris rupeiks
[ header: rank \| city \| population (2011) \| population (2001) \| state/territory row 1 : 8 \| surat \| 4462002 \| 2433835 \| gujarat row 2 : 9 \| pune \| 3115431 \| 2538473 \| maharashtra row 3 : 14 \| indore \| 1960631 \| 1474968 \| madhya pradesh row 4 : 21 \| ghaziabad \| 1636068 \| 968256 \| uttar pradesh row 5 : 25 \| faridabad \| 1404653 \| 1055938 \| haryana row 6 : 26 \| meerut \| 1309023 \| 1068772 \| uttar pradesh row 7 : 29 \| vasai-virar \| 1221233 \| None \| maharashtra row 8 : 42 \| vijayawada \| 1048240 \| 851282 \| andhra pradesh row 9 : 44 \| madurai \| 1016885 \| 928869 \| tamil nadu row 10 : 51 \| bareilly \| 898167 \| 718395 \| uttar pradesh row 11 : 53 \| mysore \| 887446 \| 755379 \| karnataka row 12 : 73 \| cuttack \| 606007 \| 534654 \| orissa row 13 : 78 \| durgapur \| 566937 \| 493405 \| west bengal row 14 : 101 \| tirupur \| 444543 \| 344543 \| tamil nadu row 15 : 114 \| muzaffarnagar \| 392451 \| 316729 \| uttar pradesh row 16 : 117 \| latur \| 382754 \| 299985 \| maharashtra row 17 : 123 \| muzaffarpur \| 351838 \| 305525 \| bihar row 18 : 132 \| shahjahanpur \| 327975 \| 296662 \| uttar pradesh row 19 : 135 \| shivamogga (shimoga \| 322428 \| 274352 \| karnataka row 20 : 137 \| junagadh \| 320250 \| 168686 \| gujarat row 21 : 138 \| thrissur \| 315596 \| 317526 \| kerala row 22 : 148 \| bihar sharif \| 296889 \| 232071 \| bihar row 23 : 150 \| darbhanga \| 294116 \| 267348 \| bihar row 24 : 154 \| ichalkaranji \| 287570 \| 257610 \| maharashtra row 25 : 157 \| bathinda \| 285813 \| 217256 \| punjab row 26 : 164 \| sonipat \| 277053 \| 214974 \| haryana row 27 : 165 \| farrukhabad \| 275750 \| 228333 \| uttar pradesh row 28 : 170 \| ratlam \| 264810 \| 222202 \| madhya pradesh row 29 : 189 \| raichur \| 232456 \| 207421 \| karnataka row 30 : 193 \| katihar \| 225982 \| 175169 \| bihar ] Execute this SQL based on the above table: select count ( state/territory ) where city = 'latur'	1
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : album/single version \| 4:30 \| avant que l'ombre \| None \| 2005 \| see the previous sections row 2 : radio edit \| 3:55 \| None \| None \| 2005 \| the musical introduction is almost fully deleted, as well row 3 : instrumental \| 4:32 \| None \| laurent boutonnat \| 2005 \| this instrumental version is identical to the album version, row 4 : the martyr's remix \| 5:20 \| None \| y-front \| 2005 \| this version contains all the lyrics of the album version row 5 : mother f... dub mix \| 7:50 \| None \| joachim garraud \| 2005 \| all the lyrics from the original version are deleted, row 6 : mother f... vocal club mix \| 8:30 \| None \| joachim garraud \| 2005 \| devoted to the nightclubs, this techno row 7 : music video \| 5:02 \| music videos iv \| None \| 2005 \| None row 8 : live version (recorded in 2006) \| 6:42 (audio) 8:18 ( \| avant que l'ombre... a \| None \| 2006 \| this version is similar to the album one, with ] Execute this SQL based on the above table: select count ( remixed by ) where year not null	4
[ header: year \| goalkeeper \| defenders \| midfielders \| forwards row 1 : 1988 \| tony meola, virginia \| jeff agoos, virginia \| henry gutierrez, nc \| scott benedetti, portl row 2 : 1993 \| tim deck, wisconsin \| shane batelle, st \| brian kamler, creighton ja \| keith defini, creighton row 3 : 1996 \| jon busch, charlotte \| tahj jakins, u \| mike fisher, virginia \| tony kuhn, vander row 4 : 1998 \| adin brown, william & \| matt chulis, virginia \| lazo alavanja, indian \| chris albright, virginia row 5 : 2000 \| chris hamblin, boston \| chris gbandi, \| carl bussey, sm \| chris carrieri, unc row 6 : 2001 \| byron foss, sm \| chris gbandi, \| luchi gonzalez, \| nicholas mccrea row 7 : 2009 \| jeff attinella, south flori \| bobby warshaw, stanford \| kyle nakazawa, \| teal bunbury, akron col ] Execute this SQL based on the above table: select count ( * ) where defenders = 'bobby warshaw, stanford zach loyd, north carolina ike opara, wake forest'	0
[ header: capacitor type \| capacity \| volts \| temp. \| energy-to-weight ratio \| power-to-weight ratio row 1 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 54 kj/kg to 2.0 v \| 44.4 w/kg @ 5 a row 2 : act premlis lithium ion capacitor \| 2000 f \| 4.0 v \| 25 °c \| 31 kj/kg to 2.0 v \| 850 w/kg @ 10 a row 3 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 19.58 kj/kg to 1.35 \| 5.44 w/kg c/1 ( row 4 : nesccap electric double-layer capacitor \| 5000 f \| 2.7 v \| 25 °c \| 5.2 kj/kg to 1.35 \| 5,200 w/kg @ 2,547 row 5 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 80.35 w/kg c/5 row 6 : eestor eesu bar \| 30.693 f \| 3500 v \| 85 °c \| 1471.98 kj/kg \| 8,035 w∕kg 20 c row 7 : general atomics 3330cmx22 \| 20.5 mf \| 3300 v \| None \| 2.3 kj/kg \| 6.8 mw/kg @ 100 ] Execute this SQL based on the above table: select capacitor type - capacitor type where power-to-weight ratio = '44.4 w/kg @ 5 a'	0
[ header: p.s. # \| school name \| neighborhood \| low grade \| high grade \| year closed \| building status row 1 : 1 \| school 1 \| lakeview \| k \| 8 \| 1976 \| demolished row 2 : 2 \| school 2 \| downtown \| k \| 8 \| 1961 \| demolished row 3 : 4 \| harbor heights elementary school \| first ward \| k \| 8 \| 2002 \| vacant row 4 : 5 \| school 5 \| kaisertown \| k \| 8 \| 1955 \| demolished row 5 : 8 \| follow through urban learning lab school \| masten park \| k \| 8 \| 2004 \| vacant row 6 : 9 \| school 9 \| schiller park \| k \| 8 \| 1980 \| demolished row 7 : 11 \| poplar academy \| schiller park \| k \| 4 \| 2009 \| vacant row 8 : 12 \| harriet ross tubman early \| willert park \| k \| 4 \| 2005 \| house office of special education row 9 : 14 \| school 14 \| downtown \| k \| 8 \| 1930s \| demolished row 10 : 15 \| school 15 \| downtown \| k \| 8 \| 1965 \| demolished row 11 : 20 \| school 20 \| black rock \| k \| 8 \| 1935 \| demolished row 12 : 21 \| school 21 \| north park \| k \| 8 \| 1980 \| demolished row 13 : 23 \| school 23 \| genesee moselle \| k \| 8 \| 1980 \| demolished row 14 : 24 \| school 24 \| broadway-fillmore \| k \| 8 \| 2002 \| vacant row 15 : 34 \| school 34 \| first ward \| k \| 8 \| 1976 \| demolished row 16 : 35 \| school 35 \| south ellicott \| k \| 8 \| 1933 \| demolished row 17 : 36 \| days park early childhood center \| allentown \| prek \| 4 \| 2009 \| houses elmwood village charter school row 18 : 41 \| school 41 \| johnson \| prek \| 8 \| 1976 \| demolished row 19 : 44 \| lincoln academy \| lovejoy \| k \| 8 \| 2005 \| houses alternative high school row 20 : 47 \| school 47 \| willert park \| prek \| 8 \| 1978 \| demolished row 21 : 49 \| school 49 \| front park \| k \| 8 \| 1980 \| community services building row 22 : 50 \| school 50 \| emsilie \| special \| education \| 1975 \| demolished row 23 : 52 \| school 52 \| forest \| k \| 8 \| 1980 \| demolished row 24 : 55 \| school 55 \| broadway-fillmore \| k \| 8 \| 1955 \| demolished row 25 : 58 \| school 58 \| broadway-fillmore \| k \| 8 \| 1961 \| demolished row 26 : 59 \| school 59 \| mlk park \| k \| 8 \| 1976 \| demolished row 27 : 60 \| riverside academy \| riverside \| prek \| 4 \| 2002 \| renovation row 28 : 62 \| school 62 \| mlk park \| k \| 8 \| 1980 \| houses crucial human services row 29 : 63 \| campus north school \| lasalle \| prek \| 8 \| 2007 \| vacant row 30 : 70 \| indian park academy \| cazenovia park \| k \| 8 \| 2002 \| vacant row 31 : 71 \| web early childhood center \| schiller park \| prek \| 4 \| 2007 \| vacant row 32 : 75 \| school 75 \| emslie \| k \| 8 \| 1979 \| vacant row 33 : 78 \| montessori e.c.c. \| lasalle \| prek \| 8 \| 2008 \| vacant row 34 : 83 \| school 83 \| university heights \| k \| 4 \| 1976 \| houses anderson gallery for university at buffalo row 35 : 86 \| st. lawrence academy \| starin central \| prek \| 4 \| 2004 \| houses bps' adult learning program row 36 : 93 \| school 93 \| hamlin park \| k \| 4 \| 1975 \| community action organization row 37 : 142 \| fulton academic complex \| perry \| k \| 8 \| 1982 \| opportunity center ] Execute this SQL based on the above table: select low grade where high grade > ( select high grade where low grade = 'prek' ) order by high grade limit 1	k
[ header: main author \| no. of patients \| duration of follow-up years \| linearized rate of infection \| actuarial freedom from infective endocarditis row 1 : pavie \| 675 \| 5 \| None \| 98.2% for all patients, 97 row 2 : duncan (a) \| 2720 \| 6 \| None \| 97.3% for all patients, 97 row 3 : ionescu (b) \| 1171 \| 10 \| None \| 93.7% for all patients, 94 row 4 : zhu \| 520 \| 10 \| None \| 98% for all patients row 5 : revuelta \| 239 \| 8 \| 0.67% per patient year \| None row 6 : garcia-bengochea \| 248 \| 8 \| 0.78% per patient year \| None row 7 : holden (c) \| 290 \| 6 \| 1.1% per patient year \| None row 8 : bachet (d) \| 224 \| 6 \| 1.6% per patient year \| None ] Execute this SQL based on the above table: select ( select duration of follow-up years where main author = 'pavie' ) - ( select duration of follow-up years where main author = 'duncan (a)' )	-1.0
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : average high °f (°c) \| 42.4 (5.8) \| 45.8 (7.7) \| 54.7 (12.6) \| 66.2 (19) \| 75.2 (24) \| 83.8 (28.8) \| 88.3 (31.3) \| 86.7 (30.4) \| 79.3 (26.3) \| 68.1 (20.1) \| 57.5 (14.2) \| 46.1 (7.8) \| 66.2 (19) row 2 : average low °f (°c) \| 24.9 (-3.9) \| 26.8 (-2.9) \| 34.5 (1.4) \| 44.1 (6.7) \| 54.8 (12.7) \| 63.8 (17.7) \| 69.0 (20.6) \| 67.5 (19.7) \| 59.6 (15.3) \| 48.2 (9) \| 38.0 (3.3) \| 29.4 (-1.4) \| 46.7 (8.2) row 3 : precipitation inches (mm) \| 3.16 (80.3) \| 3.03 (77) \| 4.10 (104.1) \| 3.81 (96.8) \| 4.56 (115.8) \| 4.23 (107.4) \| 4.05 (102.9) \| 3.43 (87.1) \| 4.60 (116.8) \| 3.98 (101.1) \| 4.21 (106.9) \| 3.77 (95.8) \| 46.93 (1,192) row 4 : snowfall inches (cm) \| 2.1 (5.3) \| 6.2 (15.7) \| .6 (1.5) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| 0 (0) \| .8 (2) \| 1.3 (3.3) \| 11.0 (27.9) row 5 : avg. precipitation days (≥ \| 8.9 \| 8.2 \| 9.6 \| 9.4 \| 10.5 \| 9.3 \| 9.1 \| 7.4 \| 8.3 \| 7.6 \| 8.2 \| 8.7 \| 105.2 row 6 : avg. snowy days (≥ \| 1.0 \| 1.0 \| .3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| .1 \| .4 \| 2.8 ] Execute this SQL based on the above table: select month where month = 'avg. snowy days (≥ 0.1 in)' and month = 'avg. snowy days (≥ 0.1 in)'	avg. snowy days (≥ 0.1 in)
[ header: season \| level \| division \| section \| position \| movements row 1 : 1960 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 2 : 1961 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 3 : 1962 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 4 : 1963 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 5 : 1964 \| tier 3 \| division 3 \| sodra norrland nedre \| 4th \| None row 6 : 1965 \| tier 3 \| division 3 \| sodra norrland nedre \| 10th \| relegated row 7 : 1966 \| tier 4 \| division 4 \| halsingland \| 9th \| None row 8 : 1967 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 9 : 1968 \| tier 4 \| division 4 \| halsingland \| 6th \| None row 10 : 1969 \| tier 4 \| division 4 \| halsingland \| 3rd \| None row 11 : 1970 \| tier 4 \| division 4 \| halsingland \| 2nd \| None row 12 : 1971 \| tier 4 \| division 4 \| halsingland \| 1st \| promotion playoffs - promoted row 13 : 1972 \| tier 3 \| division 3 \| norra svealand \| 6th \| None row 14 : 1973 \| tier 3 \| division 3 \| norra svealand \| 11th \| relegated row 15 : 1974 \| tier 4 \| division 4 \| halsingland \| 1st \| promoted row 16 : 1975 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 17 : 1976 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 18 : 1977 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 19 : 1978 \| tier 3 \| division 3 \| sodra norrland \| 6th \| None row 20 : 1979 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 21 : 1980 \| tier 3 \| division 3 \| sodra norrland \| 7th \| None row 22 : 1981 \| tier 3 \| division 3 \| sodra norrland \| 9th \| None row 23 : 1982 \| tier 3 \| division 3 \| sodra norrland \| 12th \| relegated row 24 : 1982 \| tier 4 \| division 4 \| halsingland \| 3rd \| None ] Execute this SQL based on the above table: select position where id = ( select id where position = '4th' ) + 1	10th
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select count ( record )	13
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 22 june 2008 \| addis abeba \| mauritania \| 6-1 \| win \| 2010 wc qualification row 2 : 2 \| 30 november 2009 \| nairobi \| djibouti \| 5-0 \| win \| 2009 cecafa cup row 3 : 3 \| 8 october 2011 \| addis abeba \| madagascar \| 4-2 \| win \| 2012 caf qualification row 4 : 4 \| 2 december 2011 \| dar es salaam \| malawi \| 1-1 \| draw \| 2011 cecafa cup row 5 : 5 \| 17 june 2012 \| cotonou \| benin \| 1-1 \| draw \| 2013 africa cup of nations qualifier row 6 : 6 \| 8 september 2012 \| khartoum \| sudan \| 3-5 \| loss \| 2013 africa cup of nations qualifier row 7 : 7 \| 14 september 2012 \| addis abeba \| sudan \| 2-0 \| win \| 2013 africa cup of nations qualifier row 8 : 8 \| 21 january 2013 \| nelspruit \| zambia \| 1-1 \| draw \| 2013 africa cup of nations ] Execute this SQL based on the above table: select # where result = 'win'	1, 2, 3, 7
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| innes ireland \| team lotus \| lotus-climax \| 1.00:14.8 \| 4 row 2 : 2 \| stirling moss \| rob walker racing team \| cooper-climax \| + 2.8 s \| 2 row 3 : 3 \| chris bristow \| yeoman credit racing team \| cooper-climax \| + 1:05.0 s \| 1 row 4 : 4 \| bruce mclaren \| cooper car company \| cooper-climax \| + 1:17.6 s \| 6 row 5 : 5 \| graham hill \| owen racing organisation \| brm \| 41 laps \| 9 row 6 : 6 \| jo bonnier \| owen racing organisation \| brm \| 41 laps \| 10 row 7 : 7 \| tony brooks \| g.a. vandervell \| vanwall \| 41 laps \| 8 row 8 : ret \| roy salvadori \| c.t. atkins / high \| cooper-climax \| transmission \| 5 row 9 : ret \| harry schell \| yeoman credit racing team \| cooper-climax \| throttle \| 3 row 10 : ret \| mike taylor \| taylor & crawley \| lotus-climax \| engine \| 13 row 11 : ret \| keith greene \| gilby engineering \| cooper-climax \| None \| 12 row 12 : ret \| alan stacey \| team lotus \| lotus-climax \| oil pipe \| 11 row 13 : ret \| dan gurney \| owen racing organisation \| brm \| accident \| 7 row 14 : wd \| jack brabham \| cooper car company \| cooper-climax \| None \| None row 15 : wd \| geoff richardson \| geoff richardson \| cooper \| None \| None ] Execute this SQL based on the above table: select time/retired where id = ( select id where time/retired = '41 laps' ) + 1	41 laps
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select population where geographic coordinates = '39°1′8′′n 95°8′8′′w / 39.01889°n 95.13556°w'	1143.0
[ header: year \| deaths \| # of accidents row 1 : 2012 \| 794 \| 700 row 2 : 2011 \| 828 \| 117 row 3 : 2010 \| 1,115 \| 130 row 4 : 2009 \| 1,103 \| 122 row 5 : 2008 \| 884 \| 156 row 6 : 2007 \| 971 \| 147 row 7 : 2006 \| 1,294 \| 166 row 8 : 2005 \| 1,459 \| 185 row 9 : 2004 \| 771 \| 172 row 10 : 2003 \| 1,230 \| 199 row 11 : 2002 \| 1,413 \| 185 row 12 : 2001 \| 4,140 \| 200 row 13 : 2000 \| 1,582 \| 189 row 14 : 1999 \| 1,138 \| 211 ] Execute this SQL based on the above table: select sum ( deaths )	18722.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 16 november 2005 \| tehelne pole, bra \| spain \| 1-0 \| 1-1 \| 2006 fifa world cup play-offs row 2 : 2 \| 20 may 2006 \| stadion antona malatin \| belgium \| 1-0 \| 1-1 \| friendly row 3 : 3 \| 13 october 2007 \| stadion zimny, du \| san marino \| 5-0 \| 7-0 \| uefa euro 2008 qualifying row 4 : 4 \| 21 november 2007 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-5 \| uefa euro 2008 qualifying row 5 : 5 \| 9 september 2009 \| windsor park, belfast, northern \| northern ireland \| 0-2 \| 0-2 \| 2010 fifa world cup qualification row 6 : 6 \| 3 september 2010 \| pasienky, bratislava, \| macedonia \| 1-0 \| 1-0 \| uefa euro 2012 qualification row 7 : 7 \| 29 march 2011 \| stadion antona malatin \| denmark \| 1-1 \| 1-2 \| friendly ] Execute this SQL based on the above table: select result order by opponent asc limit 1	1-1
[ header: kant \| latitude \| longitude \| diameter row 1 : b \| 9.7° s \| 18.6° e \| 16 km row 2 : c \| 9.3° s \| 22.1° e \| 20 km row 3 : d \| 11.5° s \| 18.7° e \| 52 km row 4 : g \| 9.2° s \| 19.5° e \| 32 km row 5 : h \| 9.1° s \| 20.8° e \| 7 km row 6 : n \| 9.9° s \| 19.7° e \| 10 km row 7 : o \| 12.0° s \| 17.2° e \| 7 km row 8 : p \| 10.8° s \| 17.4° e \| 5 km row 9 : q \| 13.1° s \| 18.8° e \| 5 km row 10 : s \| 11.5° s \| 19.7° e \| 5 km row 11 : t \| 11.3° s \| 20.2° e \| 5 km row 12 : z \| 10.4° s \| 17.5° e \| 3 km ] Execute this SQL based on the above table: select kant where latitude > 449 order by latitude asc limit 835	h, g, c, b, n
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select carries where carries = 'u.s. route 101' order by location asc limit 1	u.s. route 101
[ header: rank \| swimmer \| country \| time \| note row 1 : 1 \| claudia poll \| costa rica \| 57.43 \| q row 2 : 2 \| vanessa garcia \| puerto rico \| 57.95 \| q row 3 : 3 \| arlene semeco \| venezuela \| 58.11 \| q row 4 : 4 \| heysi villarreal \| cuba \| 58.67 \| q row 5 : 5 \| mariana alvarado \| mexico \| 58.69 \| q row 6 : 6 \| carolina moreno \| mexico \| 59.11 \| q row 7 : 7 \| isabella tafur \| colombia \| 59.7 \| q row 8 : 8 \| ximena maria vilar \| venezuela \| 59.79 \| q row 9 : 9 \| nikia hillarie \| bahamas \| 59.92 \| None row 10 : 10 \| sharon fajardo \| honduras \| 1:00.45 \| None row 11 : 11 \| maria alvarez \| colombia \| 1:00.76 \| None row 12 : 12 \| alia atkinson \| jamaica \| 1:01.17 \| None row 13 : 13 \| alexis jordan \| barbados \| 1:01.79 \| None row 14 : 14 \| sharntelle mclean \| trinidad and tobago \| 1:03.26 \| None row 15 : 15 \| jennifer powell \| cayman islands \| 1:03.41 \| None row 16 : 16 \| nishani cicilson \| suriname \| 1:03.88 \| None row 17 : 17 \| sade daal \| suriname \| 1:04.70 \| None row 18 : 18 \| dalia torrez \| nicaragua \| 1:05.69 \| None row 19 : None \| gisela morales \| guatemala \| dns \| None row 20 : None \| alana dillette \| bahamas \| dns \| None row 21 : None \| pamela benitez \| el salvador \| dns \| None row 22 : None \| nilshaira isenia \| netherlands antilles \| dns \| None ] Execute this SQL based on the above table: select swimmer where country = 'bahamas'	nikia hillarie, alana dillette
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select count ( name ) where occupation = 'us coast guard (retired)'	1
[ header: abbreviation \| settlement \| district \| official name \| division \| cup \| other information row 1 : taaja \| taalintehdas \| turku \| taalintehtaan \| vitonen \| 2 \| None row 2 : tampere united \| tampere \| tampere \| tampere united \| veikkausliiga \| 3 \| None row 3 : tapa 2 \| tampere \| tampere \| tampereen palloil \| kutonen \| 1 \| None row 4 : tarmo \| kalvia, kokkola \| keski-pohjanma \| kalvian tarmo \| kutonen \| 1 \| None row 5 : team vanpa \| vantaa \| uusimaa \| team vanpa \| vitonen \| 1 \| None row 6 : tips \| tikkurila, vantaa \| uusimaa \| tikkurilan palloseura \| kolmonen \| 2 \| None row 7 : tjk liepo \| tampere \| tampere \| tampereen jalkapall \| vitonen \| 1 \| None row 8 : tkt \| tampere \| tampere \| tampereen kisat \| kolmonen \| 2 \| None row 9 : tops-90 \| tohmajarvi \| ita-suomi \| tohmajarven palloseura-90 \| nelonen \| 2 \| None row 10 : torre calcio \| turku \| turku \| torre calcio \| kutonen \| 1 \| None row 11 : tota \| tornio \| pohjois-suomi \| tornion tarmo \| kolmonen \| 1 \| None row 12 : tote/ap \| toukola \| helsinki \| toukolan teras / \| vitonen \| 2 \| None row 13 : tou/2 \| toivala, siilinjarvi \| ita-suomi \| toivalan urheilijat \| vitonen \| 1 \| None row 14 : tove \| pori \| satakunta \| toejoen veikot \| kolmonen \| 2 \| None row 15 : tp-47 \| tornio \| pohjois-suomi \| tornion pallo-47 \| kakkonen \| 3 \| None row 16 : tp-49 \| toijala, akaa \| tampere \| toijalan pallo-49 \| nelonen \| 2 \| also abbreviated as toip row 17 : tp-seinajoki \| seinajoki \| vaasa \| tp-seinajoki ( \| nelonen \| 1 \| None row 18 : tps \| turku \| turku \| turun palloseura \| veikkausliiga \| 3 \| None row 19 : tpv \| tampere \| tampere \| tampereen palloveiko \| ykkonen \| 3 \| None row 20 : tpv 2 \| tampere \| tampere \| tampereen pallo- \| kolmonen \| 2 \| None row 21 : trafk \| jarvenpaa \| uusimaa \| traskanda fotboll k \| kutonen \| 1 \| None ] Execute this SQL based on the above table: select abbreviation where cup = ( select cup where abbreviation = 'tkt' ) - 1	tapa 2, tarmo, team vanpa, tjk liepo, torre calcio, tota, tou/2, tp-seinajoki, trafk
[ header: club \| chinese \| city \| home stadium \| capacity \| average attendance row 1 : beijing guoanth \| 北京国安 \| beijing \| workers stadium \| 62000 \| 33342 row 2 : changchun yatai \| 长春亚泰 \| changchun \| development area stadium \| 25000 \| 10067 row 3 : changsha ginde \| 长沙金德 \| changsha \| helong stadium \| 55000 \| 10152 row 4 : chongqing lifan \| 重庆力帆 \| chongqing \| chongqing olympic \| 58680 \| 11433 row 5 : dalian shide \| 大连实德 \| dalian \| jinzhou stadium \| 30775 \| 12307 row 6 : hangzhou greentown \| 杭州绿城 \| hangzhou \| yellow dragon stadium \| 51139 \| 14550 row 7 : henan construction \| 河南建业 \| zhengzhou \| hanghai stadium \| 29000 \| 18630 row 8 : jiangsu sainty \| 江苏舜天 \| nanjing \| nanjing olympic \| 61443 \| 10667 row 9 : liaoning whowinp \| 辽宁宏运 \| shenyang \| shenyang tiexi stadium \| 24000 \| 10100 row 10 : nanchang hengyu \| 南昌衡源 \| nanchang \| nanchang bayi stadium \| 20000 \| 11680 row 11 : qingdao jonoon \| 青岛中能 \| qingdao \| qingdao tianta \| 20525 \| 6247 row 12 : shaanxi chan-ba \| 陕西浐灞 \| xi'an \| shaanxi province stadium \| 47565 \| 28053 row 13 : shandong luneng \| 山东鲁能 \| jinan \| shandong provincial stadium \| 43700 \| 15901 row 14 : shanghai shenhua \| 上海申花 \| shanghai \| hongkou stadium \| 33060 \| 12963 row 15 : shenzhen ruby \| 深圳红钻 \| shenzhen \| shenzhen stadium \| 32500 \| 12439 row 16 : tianjin teda \| 天津泰达 \| tianjin \| teda football stadium \| 36390 \| 14757 row 17 : total \| total \| total \| total \| total \| 14581 ] Execute this SQL based on the above table: select city where id = 10	nanchang
[ header: payload type (pt) \| name \| type \| no. of channels \| clock rate (hz) \| frame size (ms) \| default packet size (ms) \| description \| references row 1 : 5 \| dvi4 \| audio \| 1 \| 8000 \| any \| 20 \| ima adpcm audio 32 \| rfc 3551 row 2 : 11 \| l16 \| audio \| 1 \| 44100 \| any \| 20 \| linear pcm 16-bit audio 70 \| rfc 3551, page 27 row 3 : 15 \| g728 \| audio \| 1 \| 8000 \| 2.5 \| 20 \| itu-t g.728 audio \| rfc 3551 row 4 : 18 \| g729 \| audio \| 1 \| 8000 \| 10 \| 20 \| itu-t g.729 and \| rfc 3551, page 20 row 5 : 26 \| jpeg \| video \| 1 \| 90000 \| None \| None \| jpeg video \| rfc 2435 row 6 : 33 \| mp2t \| audio/video \| 1 \| 90000 \| None \| None \| mpeg-2 transport stream video \| rfc 2250 row 7 : 34 \| h263 \| video \| None \| 90000 \| None \| None \| h.263 video, first version ( \| rfc 3551, rf row 8 : 72 - 76 \| reserved for rtcp conflict avoidance \| None \| None \| None \| None \| None \| None \| rfc 3551, page 32 row 9 : dynamic \| h263-2000 \| video \| None \| 90000 \| None \| None \| h.263 video, third version \| rfc 4629 row 10 : dynamic (or profile) \| h264 \| video \| None \| 90000 \| None \| None \| h.264 video (mpeg-4 \| rfc 6184, previously r row 11 : dynamic \| pcma-wb \| audio \| None \| 16000 \| 5 \| None \| itu-t g.711.1, \| rfc 5391 row 12 : dynamic \| g7221 \| audio \| None \| 32000, 16000 \| 20 \| None \| itu-t g.722.1 \| rfc 5577 row 13 : dynamic \| g726-24 \| audio \| 1 \| 8000 \| any \| 20 \| itu-t g.726 audio \| rfc 3551 row 14 : dynamic \| g7291 \| audio \| None \| 16000 \| 20 \| None \| itu-t g.729.1 \| rfc 4749 row 15 : dynamic (or profile) \| speex \| audio \| 1 \| 8000, 16000 or 32000 \| 20 \| None \| rtp payload format for the spe \| rfc 5574 row 16 : dynamic (or profile) \| mp4v-es \| video \| None \| 90000 or others \| None \| recommended same as frame size \| rtp payload format for mp \| rfc 6416 (previously row 17 : dynamic (or profile) \| mpeg4-generic \| audio/video \| None \| 90000 or other \| None \| None \| rtp payload format for transport of \| rfc 3640 row 18 : dynamic \| vp8 \| video \| None \| 90000 \| None \| None \| rtp payload format for transport of \| draft-ietf-payload- row 19 : dynamic \| l8 \| audio \| (various) \| (various) \| any \| 20 \| linear pcm 8-bit audio with \| rfc 3551 section 4.5. ] Execute this SQL based on the above table: select frame size (ms) where frame size (ms) = 'any'	any, any, any, any
[ header: year \| title \| album \| uk \| b-sides row 1 : 2004 \| "kim wilde" (download-only) \| grey will fade \| None \| None row 2 : 2004 \| "summer" \| grey will fade \| 31 \| commodore; smut row 3 : 2005 \| "bastardo" \| grey will fade \| 31 \| 3 minutes; i am a kamera row 4 : 2006 \| "behave" \| the deep blue \| 168 \| mr. ed; cou row 5 : 2007 \| "i want you to know" \| the deep blue \| 108 \| sister universe; suspiria row 6 : 2007 \| "siberia" \| the deep blue \| None \| last night; this is pop; i don row 7 : 2007 \| "again" \| the deep blue \| None \| again (acoustic) row 8 : 2007 \| "ch v fd (deep blue \| non-album single \| None \| dawn treader (fredmix); it is row 9 : 2009 \| "white" \| new worlds \| None \| white (squarepusher remix); white (a row 10 : 2009 \| "alexander" \| new worlds \| None \| alexander (radio edit); alex ] Execute this SQL based on the above table: select title order by uk desc limit 1	"behave"
[ header: pos. \| time \| athlete \| country \| venue \| date row 1 : 1 \| 12.21 (+0.7) \| yordanka donkova \| bulgaria \| stara zagora \| 20 august 1988 row 2 : 2 \| 12.25 (+1.4) \| ginka zagorcheva \| bulgaria \| drama \| 8 august 1987 row 3 : 3 \| 12.26 (+1.7) \| ludmila narozh \| russia \| seville \| 6 june 1992 row 4 : 3 \| 12.26 (+1.2) \| brianna rollins \| united states \| des moines \| 22 june 2013 row 5 : 5 \| 12.28 (+1.1) \| sally pearson \| australia \| daegu \| 3 september 2011 row 6 : 6 \| 12.33 (-0.3) \| gail devers \| united states \| sacramento \| 23 july 2000 row 7 : 7 \| 12.36 (+1.9) \| grazyna rabszt \| poland \| warsaw \| 13 june 1980 row 8 : 8 \| 12.37 (+1.5) \| joanna hayes \| united states \| athens \| 24 august 2004 row 9 : 8 \| 12.37 (-0.2) \| dawn harper \| united states \| london \| 7 august 2012 row 10 : 10 \| 12.39 (+1.5) \| vera komisova \| soviet union \| rome \| 5 august 1980 row 11 : 10 \| 12.39 (+1.8) \| nataliya grygoryeva \| soviet union \| kiev \| 11 july 1991 row 12 : 12 \| 12.42 (+1.8) \| bettine jahn \| east germany \| berlin \| 8 june 1983 row 13 : 12 \| 12.42 (+2.0) \| anjanette kirkland \| united states \| edmonton \| 11 august 2001 row 14 : 14 \| 12.43 (-0.9) \| lucyna kalek \| poland \| hannover \| 19 august 1984 row 15 : 14 \| 12.43 (-0.3) \| michelle perry \| united states \| carson \| 26 june 2005 row 16 : 14 \| 12.43 (+0.2) \| lolo jones \| united states \| beijing \| 18 august 2008 row 17 : 14 \| 12.43 (+1.2) \| queen harrison \| united states \| des moines \| 22 june 2013 row 18 : 18 \| 12.44 (-0.5) \| gloria siebert \| east germany \| rome \| 4 september 1987 row 19 : 18 \| 12.44 (-0.8) \| olga shishigina \| kazakhstan \| lucerne \| 27 june 1995 row 20 : 18 \| 12.44 (+0.4) \| glory alozie \| nigeria \| monaco \| 8 august 1998 row 21 : 18 \| 12.44 (+0.6) \| damu cherry \| united states \| lausanne \| 7 july 2006 row 22 : 22 \| 12.45 (+1.3) \| cornelia oschkenat \| east germany \| neubrandenburg \| 11 june 1987 row 23 : 22 \| 12.45 (+1.4) \| brigitte foster-hylton \| jamaica \| eugene \| 24 may 2003 row 24 : 22 \| 12.45 (+1.5) \| olena krasov \| ukraine \| athens \| 24 august 2004 row 25 : 22 \| 12.45 (+1.4) \| virginia crawford \| united states \| new york city \| 2 june 2007 ] Execute this SQL based on the above table: select country where id = ( select id where country = 'united states' ) - 1	russia
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| hammer \| 54.43 m row 2 : 2005 \| alba games \| la habana, cuba \| 1st \| hammer \| 63.30 m row 3 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 4th \| hammer \| 60.49 m row 4 : 2005 \| pan american junior championships \| windsor, canada \| 1st \| hammer \| 64.80 m row 5 : 2006 \| nacac u23 championships \| santo domingo, dominican \| 2nd \| hammer \| 66.28 m row 6 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| hammer \| 68.70 m row 7 : 2007 \| world championships \| osaka, japan \| 9th \| hammer \| 70.20 m row 8 : 2008 \| olympic games \| beijing, china \| 15th (q) \| hammer \| 68.74 m row 9 : 2009 \| alba games \| la habana, cuba \| 2nd \| hammer \| 68.89 m row 10 : 2009 \| central american and caribbean championships \| havana, cuba \| 1st \| hammer \| 71.32 m row 11 : 2009 \| world championships \| berlin, germany \| 16th (q) \| hammer \| 69.97 m row 12 : 2011 \| pan american games \| guadalajara, me \| 4th \| hammer \| 68.88 m row 13 : 2012 \| olympic games \| london, united kingdom \| 23rd (q) \| hammer \| 67.93 m ] Execute this SQL based on the above table: select notes where position <= 5 order by notes desc limit 1	71.32 m
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select team order by played limit 1968	sc internacional de sao paulo, minas gerais, aa das palmeiras, mackenzie, paulistano, palestra italia-sp, corinthians, ypiranga-sp, aa sao bento, santos
[ header: year \| host / location \| division i overall \| division i undergraduate \| division ii overall \| division ii community college row 1 : 1997 \| penn \| chicago \| None \| None \| None row 2 : 1998 \| vanderbilt \| stanford \| swarthmore \| harvard \| None row 3 : 1999 \| michigan \| chicago \| carleton \| princeton \| None row 4 : 2000 \| boston u \| illinois \| princeton \| harvard \| None row 5 : 2001 \| washington, st. louis \| chicago \| princeton \| pittsburgh \| None row 6 : 2002 \| north carolina \| michigan \| princeton \| yale \| valencia cc row 7 : 2003 \| ucla and caltech \| chicago \| harvard \| berkeley \| valencia cc row 8 : 2004 \| washington, st. louis \| cal-berkeley \| illinois \| ucla \| valencia cc row 9 : 2005 \| tulane \| michigan \| va commonwealth \| chicago \| faulkner st row 10 : 2006 \| maryland \| cal-berkeley \| williams college \| stanford \| broward cc row 11 : 2007 \| minnesota \| chicago \| carleton \| maryland \| valencia cc row 12 : 2008 \| washington, st. louis \| maryland \| harvard \| carleton \| valencia cc row 13 : 2009 \| dallas, texas \| chicago \| minnesota \| chicago \| northeast alabama cc row 14 : 2010 \| chicago, illinois \| chicago \| minnesota \| brown \| st. charles cc row 15 : 2011 \| chicago, illinois \| minnesota \| vcu \| yale \| chipola row 16 : 2012 \| chicago, illinois \| virginia \| ohio state \| harvard \| chipola row 17 : 2013 \| chicago, illinois \| yale \| ohio state \| stanford \| chipola row 18 : 2014 \| chicago, illinois \| virginia \| yale \| harvard \| valencia ] Execute this SQL based on the above table: select year group by year order by count ( division i overall ) desc limit 1	2014
[ header: club \| chinese \| city \| home stadium \| capacity \| average attendance row 1 : beijing guoanth \| 北京国安 \| beijing \| workers stadium \| 62000 \| 33342 row 2 : changchun yatai \| 长春亚泰 \| changchun \| development area stadium \| 25000 \| 10067 row 3 : changsha ginde \| 长沙金德 \| changsha \| helong stadium \| 55000 \| 10152 row 4 : chongqing lifan \| 重庆力帆 \| chongqing \| chongqing olympic \| 58680 \| 11433 row 5 : dalian shide \| 大连实德 \| dalian \| jinzhou stadium \| 30775 \| 12307 row 6 : hangzhou greentown \| 杭州绿城 \| hangzhou \| yellow dragon stadium \| 51139 \| 14550 row 7 : henan construction \| 河南建业 \| zhengzhou \| hanghai stadium \| 29000 \| 18630 row 8 : jiangsu sainty \| 江苏舜天 \| nanjing \| nanjing olympic \| 61443 \| 10667 row 9 : liaoning whowinp \| 辽宁宏运 \| shenyang \| shenyang tiexi stadium \| 24000 \| 10100 row 10 : nanchang hengyu \| 南昌衡源 \| nanchang \| nanchang bayi stadium \| 20000 \| 11680 row 11 : qingdao jonoon \| 青岛中能 \| qingdao \| qingdao tianta \| 20525 \| 6247 row 12 : shaanxi chan-ba \| 陕西浐灞 \| xi'an \| shaanxi province stadium \| 47565 \| 28053 row 13 : shandong luneng \| 山东鲁能 \| jinan \| shandong provincial stadium \| 43700 \| 15901 row 14 : shanghai shenhua \| 上海申花 \| shanghai \| hongkou stadium \| 33060 \| 12963 row 15 : shenzhen ruby \| 深圳红钻 \| shenzhen \| shenzhen stadium \| 32500 \| 12439 row 16 : tianjin teda \| 天津泰达 \| tianjin \| teda football stadium \| 36390 \| 14757 row 17 : total \| total \| total \| total \| total \| 14581 ] Execute this SQL based on the above table: select club order by club desc limit 1	total
[ header: volume \| year \| names \| articles \| pages \| images \| maps \| number of copies row 1 : 1 \| 1974 \| ա-արգինա \| 3442 \| 720 \| 1294 \| 75 \| 100000 row 2 : 2 \| 1976 \| արգիշտի-գեղերվան \| 3503 \| 720 \| 1798 \| 75 \| 100000 row 3 : 3 \| 1977 \| գեղեցիկը-զուրաբյան \| 3509 \| 720 \| 1726 \| 53 \| 100000 row 4 : 4 \| 1978 \| է-խաղխաղ \| 3451 \| 720 \| 1228 \| 53 \| 100000 row 5 : 5 \| 1979 \| խաղող-կուլիսներ \| 3694 \| 720 \| 1326 \| 68 \| 100000 row 6 : 6 \| 1980 \| կուլզոր-ձուլուկ \| 3108 \| 720 \| 1097 \| 64 \| 100000 row 7 : 7 \| 1981 \| ձուլում-մոնոպխոնք \| 3250 \| 720 \| 1436 \| 46 \| 100000 row 8 : 8 \| 1982 \| մոնոպոլիա-չեչերեկ \| 3145 \| 720 \| 1274 \| 70 \| 100000 row 9 : 9 \| 1983 \| չեչքար-ռստակես \| 3185 \| 720 \| 1046 \| 60 \| 100000 row 10 : 10 \| 1984 \| ռստամ-սսհմ \| 2009 \| 736 \| 1065 \| 61 \| 100000 row 11 : 11 \| 1985 \| սովետական-տիեզերք \| 2970 \| 720 \| 958 \| 67 \| 100000 row 12 : 12 \| 1986 \| տիեպոլո-ֆուքսին \| 3501 \| 752 \| 1015 \| 96 \| 100000 row 13 : total \| 1974-1986 \| ա-ֆուքսին \| 36767 \| 8688 \| 15263 \| 858 \| 1200000 row 14 : 13 \| 1987 \| սովետական հայաստան \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select maps where names = 'ա-ֆուքսին'	858.0
[ header: name of president \| picture \| life span \| year of presidency \| place of conference row 1 : pherozeshah meh \| 75px \| 4 august 1845 - 1915 \| 1890 \| calcutta row 2 : womesh chunder bonnerjee \| None \| 29 december 1844 - 1906 \| 1892 \| allahabad row 3 : surendranath banerjee \| None \| 10 november 1848 - 1925 \| 1895 \| poona row 4 : rahimtulla m. say \| None \| 5 april 1847 - 19 \| 1896 \| calcutta row 5 : anandamohan bose \| None \| 23 september 1847 - 1906 \| 1898 \| madras row 6 : romesh chunder dutt \| None \| 13 august 1848 - 1909 \| 1899 \| lucknow row 7 : henry cotton \| None \| 1845-1915 \| 1904 \| bombay row 8 : dadabhai naoroji \| None \| 4 september 1825 - 1917 \| 1906 \| calcutta row 9 : nawab syed muhammad \| None \| None \| 1913 \| karachi row 10 : annie besant \| None \| 1 october 1847 - \| 1917 \| calcutta row 11 : madan mohan malaviya \| None \| 25 december 1861 - 1946 \| 1918 \| delhi row 12 : hakim ajmal khan \| None \| 1863- 29 december 1927 \| 1921 \| ahmedabad row 13 : mohammad ali jouhar \| None \| 10 december 1878- 4 jan \| 1923 \| kakinada row 14 : mohandas gandhi \| None \| 2 october 1869- 30 \| 1924 \| belgaum row 15 : sarojini naidu \| None \| 13 february 1879- 2 march 1949 \| 1925 \| kanpur row 16 : madan mohan malaviya \| None \| 25 december 1861 - 1946 \| 1932 \| delhi row 17 : jawaharlal nehru \| None \| 14 november 1889- 27 may 1964 \| 1936 \| lucknow row 18 : jawaharlal nehru \| None \| 14 november 1889- 27 may 1964 \| 1954 \| calcutta row 19 : u. n. dhebar \| None \| 21 september 1905 - 1977 \| 1957 \| indore row 20 : neelam sanji \| None \| 19 may 1913- 1 june 1996 \| 1960 \| bangalore row 21 : neelam sanji \| None \| 19 may 1913- 1 june 1996 \| 1962 & 63 \| patna row 22 : k. kamaraj \| None \| 15 july 1903- 2 o \| 1964 \| bhubaneswar row 23 : p. mehul \| None \| 10 december 1902- 9 august 2000 \| 1969 \| faridabad row 24 : indira gandhi \| None \| 19 november 1917 - 31 o \| 1978 - 83 \| delhi row 25 : sonia gandhi \| None \| 9 december 1946- \| 1998-present \| calcutta ] Execute this SQL based on the above table: select count ( name of president )	25
[ header: wrestler: \| times: \| date: \| location: \| notes: row 1 : jonnie stewart \| 1 \| june 6, 1996 \| rochester, minnesota \| defeated larry gligorovich to row 2 : king kong bundy \| 1 \| march 31, 1999 \| oshkosh, wiscons \| later stripped of the title by owner dale row 3 : the patriot (danny dominion) \| 1 \| july 29, 2000 \| pine bluff, arkansa \| defeated dale gagne in an impro row 4 : ricky enrique \| 1 \| july 29, 2000 \| pine bluff, arkansa \| None row 5 : eric priest \| 1 \| june 3, 2001 \| hillside, illinois \| None row 6 : evan karagias \| 1 \| march 22, 2002 \| casa grande, arizona \| None row 7 : horshu \| 1 \| october 12, 2002 \| mercedes, texas \| stripped of the title due to missing mandatory title defense row 8 : evan karagias \| 2 \| july 6, 2003 \| lemoore, california \| defeated eric priest to win the vac row 9 : steve corino \| 1 \| june 11, 2005 \| bay city, michigan \| None row 10 : shinjiro otani \| 1 \| january 22, 2006 \| tokyo, japan \| None row 11 : takao omori \| 2 \| april 1, 2006 \| tokyo, japan \| None row 12 : ric converse \| 1 \| june 14, 2006 \| indianapolis, indiana \| None row 13 : steve corino \| 2 \| january 7, 2007 \| pottstown, pennsyl \| on march 23, 2007, corino lost the title row 14 : takao omori \| 3 \| march 31, 2007 \| yokohama, japan \| None row 15 : masato tanaka \| 1 \| october 26, 2007 \| tokyo, japan \| None row 16 : larry zbyszko \| 1 \| february 5, 2008 \| minneapolis, minnesot \| title awarded row 17 : brian logan \| None \| april 20, 2008 \| fayetteville, west virgini \| logan defeated zbyszko row 18 : ricky landell \| 1 \| october 11, 2008 \| indianapolis, indiana \| title becomes known as the wsl world row 19 : keith walker \| 1 \| february 21, 2009 \| michigan city, indiana \| None ] Execute this SQL based on the above table: select count ( location: ) where times: >= 'None'	0
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( year ) where year = 2004	3
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan (jpn) \| 9 \| 0 \| 1 \| 10 row 2 : 2 \| iran (iri) \| 1 \| 2 \| 1 \| 4 row 3 : 3 \| syria (syr \| 1 \| 1 \| 0 \| 2 row 4 : 4 \| indonesia (ina) \| 0 \| 3 \| 2 \| 5 row 5 : 5 \| vietnam (vie) \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| chinese taipei \| 0 \| 1 \| 3 \| 4 row 7 : 7 \| kuwait (kuw) \| 0 \| 1 \| 1 \| 2 row 8 : 7 \| saudi arabia (ksa) \| 0 \| 1 \| 1 \| 2 row 9 : 9 \| malaysia (mas) \| 0 \| 0 \| 3 \| 3 row 10 : 10 \| brunei (bru) \| 0 \| 0 \| 2 \| 2 row 11 : 10 \| philippines (phi) \| 0 \| 0 \| 2 \| 2 row 12 : 12 \| macau (mac) \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| nepal (nep) \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| tajikistan (tjk) \| 0 \| 0 \| 1 \| 1 row 15 : 12 \| united arab emirates (uae \| 0 \| 0 \| 1 \| 1 row 16 : total \| total \| 11 \| 11 \| 20 \| 42 ] Execute this SQL based on the above table: select nation order by id desc limit 1	total
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select venue where competition in ( 'world youth championships' , 'jeux de la francophonie' ) order by event desc limit 1	sherbrooke, canada
[ header: # \| date \| visitor \| score \| home \| record \| pts row 1 : 1 \| december 21 \| ottawa senators \| 5-2 \| montreal canadiens \| 1-0-0 \| 2 row 2 : 2 \| december 26 \| toronto arenas \| 2-5 \| ottawa senators \| 2-0-0 \| 4 row 3 : 3 \| december 31 \| ottawa senators \| 2-4 \| toronto arenas \| 2-1-0 \| 4 row 4 : 4 \| january 2 \| montreal canadiens \| 2-7 \| ottawa senators \| 3-1-0 \| 6 row 5 : 5 \| january 4 \| ottawa senators \| 2-5 \| montreal canadiens \| 3-2-0 \| 6 row 6 : 6 \| january 9 \| toronto arenas \| 2-4 \| ottawa senators \| 4-2-0 \| 8 row 7 : 7 \| january 14 \| ottawa senators \| 2-5 \| toronto arenas \| 4-3-0 \| 8 row 8 : 8 \| january 16 \| montreal canadiens \| 10-6 \| ottawa senators \| 4-4-0 \| 8 row 9 : 9 \| january 18 \| ottawa senators \| 3-5 \| montreal canadiens \| 4-5-0 \| 8 row 10 : 10 \| january 23 \| toronto arenas \| 2-3 \| ottawa senators \| 5-5-0 \| 10 row 11 : 11 \| january 25 \| ottawa senators \| 1-0 \| montreal canadiens \| 1-0-0 \| 2 row 12 : 12 \| january 28 \| ottawa senators \| 2-1 \| toronto arenas \| 2-0-0 \| 4 row 13 : 13 \| january 30 \| montreal canadiens \| 2-3 \| ottawa senators \| 3-0-0 \| 6 row 14 : 14 \| february 6 \| toronto arenas \| 1-3 \| ottawa senators \| 4-0-0 \| 8 row 15 : 15 \| february 8 \| ottawa senators \| 3-4 \| montreal canadiens \| 4-1-0 \| 18 row 16 : 16 \| february 13 \| montreal canadiens \| 0-7 \| ottawa senators \| 5-1-0 \| 10 row 17 : 17 \| february 18 \| ottawa senators \| 4-3 \| toronto arenas \| 6-1-0 \| 12 row 18 : 18 \| february 20 \| toronto arenas \| 3-9 \| ottawa senators \| 7-1-0 \| 14 ] Execute this SQL based on the above table: select visitor order by pts limit 1	ottawa senators
[ header: name \| population (2002 census) \| population (2007 estimation) \| population (2011 census) \| area (km2) \| density (pop/km2) row 1 : brasov \| 283901 \| 277945 \| 253200 \| 267.32 \| 1204 row 2 : codlea \| 24256 \| 24550 \| 21708 \| 132.79 \| 182 row 3 : sacele \| 30044 \| 31796 \| 30798 \| 320 \| 93 row 4 : ghimbav \| 5100 \| 5357 \| 4698 \| 28.08 \| 181.62 row 5 : predeal \| 5625 \| 5174 \| 4755 \| 58.4 \| 96.14 row 6 : rasnov \| 15436 \| 16055 \| 15022 \| 164.36 \| 94 row 7 : cristian \| 3952 \| 4300 \| 4490 \| 27.73 \| 142.51 row 8 : sanpetru \| 3401 \| 3759 \| 4819 \| 30.74 \| 110.63 row 9 : halchiu \| 4072 \| 4560 \| 4218 \| 56.67 \| 71.85 row 10 : tarlungeni \| 7413 \| 7996 \| 8320 \| 135.66 \| 54.65 row 11 : prejmer \| 8323 \| 8876 \| 8472 \| 60.48 \| 137.61 row 12 : harman \| 4437 \| 4775 \| 5402 \| 52.79 \| 84.05 row 13 : bod \| 3942 \| 4173 \| 3994 \| 33.56 \| 117.46 row 14 : total \| 399902 \| 399316 \| 369896 \| 1368.58 \| 270 ] Execute this SQL based on the above table: select name order by name limit 1	bod
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : belleville \| 5575 \| None \| 675 \| 4 (11) \| 155 (60) \| 0 (0) \| 0.14% \| 37°3′50′′n 96° row 2 : caneyville \| 10425 \| None \| 88 \| 1 (2) \| 144 (55) \| 1 (0) \| 0.38% \| 37°15′23′′n 96° row 3 : center \| 11575 \| None \| 75 \| 1 (1) \| 144 (56) \| 1 (0) \| 0.80% \| 37°15′28′′n 96° row 4 : harrison \| 30275 \| None \| 114 \| 1 (2) \| 142 (55) \| 0 (0) \| 0.14% \| 37°4′3′′n 96° row 5 : hendricks \| 31300 \| None \| 179 \| 1 (3) \| 142 (55) \| 0 (0) \| 0.05% \| 37°1′12′′n 96° row 6 : jefferson \| 35125 \| cedar vale \| 834 \| 6 (15) \| 144 (56) \| 1 (0) \| 0.45% \| 37°6′45′′n 96° row 7 : lafayette \| 37650 \| None \| 65 \| 0 (1) \| 154 (59) \| 2 (1) \| 1.40% \| 37°15′36′′n 96° row 8 : little caney \| 41525 \| None \| 353 \| 3 (8) \| 117 (45) \| 0 (0) \| 0.31% \| 37°3′51′′n 96° row 9 : salt creek \| 62775 \| None \| 123 \| 1 (3) \| 127 (49) \| 0 (0) \| 0.34% \| 37°15′13′′n 96° row 10 : sedan \| 63775 \| sedan \| 1660 \| 13 (34) \| 128 (49) \| 1 (0) \| 0.65% \| 37°7′50′′n 96° row 11 : summit \| 69025 \| None \| 106 \| 1 (2) \| 144 (56) \| 1 (0) \| 0.40% \| 37°8′17′′n 96° row 12 : washington \| 75550 \| None \| 87 \| 1 (2) \| 121 (47) \| 1 (0) \| 0.71% \| 37°7′41′′n 96° ] Execute this SQL based on the above table: select township where id = ( select id where township = 'caneyville' ) + 1	center
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network order by season desc limit 1	cbs
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select to par where place = 't5' and country = 'united states'	-5, -5, -5
[ header: # \| date \| venue \| opponents \| score \| comp \| denmark scorers row 1 : 167 \| 1950-10-15 \| rasunda stadium, stockhol \| sweden \| 0-4 \| nc \| None row 2 : 179 \| 1952-07-25 \| pallokentta, hel \| yugoslavia \| 3-5 \| og \| knud lundberg, row 3 : 180 \| 1952-09-21 \| idrætsparken, \| netherlands \| 3-2 \| f \| kurt "nikkelaj" nie row 4 : 182 \| 1952-10-19 \| idrætsparken, \| norway \| 1-3 \| nc \| per jensen row 5 : 186 \| 1953-09-13 \| ullevaal stadion, \| norway \| 1-0 \| nc \| bent sørensen row 6 : 190 \| 1954-09-19 \| idrætsparken, \| switzerland \| 1-1 \| f \| jørgen olesen row 7 : 195 \| 1955-06-19 \| idrætsparken, \| finland \| 2-1 \| nc \| jens peter hansen (2) row 8 : 210 \| 1957-06-18 \| olympic stadium, hel \| finland \| 0-2 \| ot \| None row 9 : 211 \| 1957-06-19 \| tammela stadion, \| norway \| 2-0 \| ot \| egon jensen, j row 10 : 214 \| 1957-09-22 \| ullevaal stadion, \| norway \| 2-2 \| nc \| poul pedersen, peder row 11 : 219 \| 1958-06-29 \| idrætsparken, \| norway \| 1-2 \| nc \| poul pedersen row 12 : 224 \| 1959-06-21 \| idrætsparken, \| sweden \| 0-6 \| nc \| None row 13 : 228 \| 1959-09-13 \| ullevaal stadion, \| norway \| 4-2 \| ogq nc \| harald nielsen, row 14 : 229 \| 1959-09-23 \| idrætsparken, \| czechoslovakia \| 2-2 \| enq \| poul pedersen, bent han ] Execute this SQL based on the above table: select count ( comp ) where comp != 'enq' and denmark scorers = ( select denmark scorers where comp = 'enq' )	0
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select location order by location desc limit 1	paris
[ header: car \| engine \| compression \| power \| torque \| turbo \| stock boost \| turbine \| compressor row 1 : '89 u12 bluebird l \| redtop \| 8.5:1 \| 150 kw (201 hp) \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 2 : '91-'95 u13 blue \| redtop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 3 : '95-'97 w10 \| silvertop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 4 : '97-'01 w11 \| silvertop \| 8.5:1 \| 169 kw (227 hp \| 203 lb·ft (275 \| t-25bb \| 9psi \| None \| None row 5 : '90-'94 n14 \| redtop \| 8.3:1 \| 169 kw (227 hp \| 210 lb·ft (280 \| t-28 \| 7psi \| 79 trim 53 mm (2.1 in) \| 60 trim 60 mm bci-1 row 6 : '91-'93 s13 si \| redtop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 7 : '94-'98 s13 180 \| blacktop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 8 : '95-'99 s14 si \| blacktop \| 8.5:1 \| 162 kw (217 hp \| 203 lb·ft (275 \| t-28 \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 row 9 : '99-02 s15 sil \| blacktop \| 8.5:1 \| 183 kw (245 hp \| 202 lb·ft (274 \| t-28bb \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 ] Execute this SQL based on the above table: select turbo where engine > ( select engine where turbo = 't-28' ) order by engine limit 1	t-25g
[ header: season \| series \| team \| races \| wins \| poles \| f/lap \| podiums \| points \| position row 1 : 2009 \| star mazda championship \| andersen racing \| 13 \| 1 \| 1 \| 3 \| 6 \| 416 \| 3rd row 2 : 2010 \| star mazda championship \| juncos racing \| 13 \| 7 \| 9 \| 7 \| 12 \| 539 \| 1st row 3 : 2011 \| indy lights \| sam schmidt motorsports \| 5 \| 1 \| 1 \| 2 \| 2 \| 145 \| 13th row 4 : 2011 \| gp3 series \| carlin motorsport \| 16 \| 0 \| 0 \| 0 \| 0 \| 10 \| 17th row 5 : 2012 \| gp3 series \| lotus gp \| 16 \| 1 \| 0 \| 0 \| 5 \| 106 \| 6th row 6 : 2012 \| masters of formula 3 \| double r racing \| 1 \| 0 \| 0 \| 0 \| 0 \| None \| 15th row 7 : 2012-13 \| mrf challenge formula 2000 \| mrf challenge \| 10 \| 4 \| 0 \| 1 \| 6 \| 164 \| 1st row 8 : 2013 \| gp2 series \| hilmer motorsport \| 2 \| 0 \| 0 \| 0 \| 0 \| 2 \| 26th row 9 : 2013 \| gp3 series \| art grand prix \| 16 \| 1 \| 1 \| 1 \| 6 \| 126 \| 3rd row 10 : 2013 \| indycar series \| a.j. foyt enterprises \| 1 \| 0 \| 0 \| 0 \| 0 \| 11 \| 34th row 11 : 2013 \| indy lights \| team moore racing \| 1 \| 0 \| 0 \| 0 \| 1 \| 35 \| 13th ] Execute this SQL based on the above table: select team where podiums = 0	carlin motorsport, double r racing, hilmer motorsport, a.j. foyt enterprises
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1999 \| universiade \| palma de mallorca, spain \| 2nd \| 20 km \| 1:25:23 row 2 : 2001 \| european race walking cup \| dudince, slovakia \| 12th \| 20 km \| 1:22:10 row 3 : 2001 \| world championships \| edmonton, canada \| 16th \| 20 km \| 1:25:28 row 4 : 2001 \| universiade \| beijing, china \| 1st \| 20 km \| 1:24:42 row 5 : 2002 \| european championships \| munich, germany \| 9th \| 20 km \| 1:21:21 row 6 : 2002 \| world race walking cup \| turin, italy \| 12th \| 20 km \| None row 7 : 2003 \| world championships \| paris, france \| 11th \| 20 km \| 1:20:34 pb row 8 : 2005 \| world championships \| helsinki, finland \| 14th \| 20 km \| None ] Execute this SQL based on the above table: select abs ( ( select event where venue = 'dudince, slovakia' ) - ( select event where venue = 'helsinki, finland' ) )	0.0
[ header: round \| selection \| player \| position \| college row 1 : 1 \| 22 \| desmond trufant \| cb \| washington row 2 : 2 \| 60 \| robert alford \| cb \| southeastern louisiana row 3 : 4 \| 127 \| malliciah goodman \| de \| clemson row 4 : 4 \| 133 \| levine toilolo \| te \| stanford row 5 : 5 \| 153 \| stansly maponga \| de \| tcu row 6 : 7 \| 243 \| kemal ishmael \| s \| central florida row 7 : 7 \| 244 \| zeke motta \| s \| notre dame row 8 : 7 \| 249 \| sean renfree \| qb \| duke ] Execute this SQL based on the above table: select selection where position = 'te'	133
[ header: species \| common name \| ncbi accession # \| ncbi name \| length \| sequence identity \| sequence similarity \| years since divergence from human (mya) row 1 : pan troglodytes \| chimpanzee \| xp_003317262 \| depdc5 \| 1572 aa \| 99% \| 99% \| 6.4 row 2 : nomascus leucogenys \| gibbon \| xp_003258163 \| depdc5 \| 1602 aa \| 99% \| 99% \| 20.4 row 3 : mus musculus \| mouse \| np_001164038 \| depdc5 \| 1591 aa \| 94% \| 96% \| 92.4 row 4 : bos taurus \| cow \| xp_002694678 \| depdc5 \| 1593 aa \| 94% \| 96% \| 94.4 row 5 : sorex araneus \| shrew \| ace77702 \| depdc5 \| 1570 aa \| 94% \| 96% \| 94.4 row 6 : monodelphis domestica \| possum \| xp_001378772 \| depdc5 \| 1522 aa \| 89% \| 93% \| 163.9 row 7 : gallus gallus \| chicken \| xp_415249 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 8 : meleagris gallopavo \| turkey \| xp_003211073 \| depdc5 \| 1592 aa \| 88% \| 93% \| 301.7 row 9 : taeniopygi \| zebra finch \| xp_002199825 \| depdc5 \| 1572 aa \| 87% \| 92% \| 301.7 row 10 : xenopus tropicalis \| frog \| xp_002931964 \| depdc5-like \| 1574 aa \| 79% \| 86% \| 371.2 row 11 : danio rerio \| zebra fish \| xp_691450 \| depdc5-like \| 1590 aa \| 75% \| 84% \| 400.1 row 12 : oreochromis niloticus \| cichlid \| xp_003459226 \| depdc5 \| 1577 aa \| 74% \| 82% \| 400.1 row 13 : strongylocentrotus purpuratus \| sea urchin \| xp_794020 \| similar to depdc5 \| 1608 aa \| 43% \| 57% \| 742.9 row 14 : drosophila melanogaster \| drosophila \| np_647618 \| gc12090 \| 1471 aa \| 41% \| 57% \| 782.7 row 15 : pediculus humanus corporis \| louse \| xp_002429401 \| depdc, putative \| 1538 aa \| 38% \| 53% \| 782.7 row 16 : anopheles gambiae \| mosquito \| xp_308760 \| agap007010-pa \| 1640 aa \| 36% \| 51% \| 782.7 row 17 : ascaris suum \| ascaris \| ady40551 \| depdcp5 \| 1359 aa \| 31% \| 51% \| 937.5 row 18 : ustilago maydis \| corn smut \| xp_757759 \| vacuolar-associated protein iml1 \| 1867 aa \| 23% \| 52% \| 1215.8 row 19 : saccharomyces cerevisiae \| yeast \| np_012672 \| iml1p \| 1584 aa \| 20% \| 50% \| 1215.8 row 20 : albugo laibachii \| white rust \| cca27519 \| vacuolar membrane-associated protein putative \| 1591 aa \| 20% \| 46% \| 1362 ] Execute this SQL based on the above table: select length where ncbi name = 'gc12090'	1471
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( * )	13
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| france \| 28 \| 28 \| 24 \| 80 row 2 : 2 \| romania \| 16 \| 3 \| 5 \| 24 row 3 : 3 \| canada \| 14 \| 10 \| 15 \| 39 row 4 : 4 \| quebec \| 8 \| 4 \| 16 \| 28 row 5 : 5 \| morocco \| 6 \| 11 \| 7 \| 24 row 6 : 6 \| tunisia \| 4 \| 7 \| 1 \| 12 row 7 : 7 \| egypt \| 2 \| 5 \| 4 \| 11 row 8 : 8 \| switzerland \| 2 \| 1 \| 5 \| 8 row 9 : 9 \| senegal \| 2 \| 1 \| 3 \| 6 row 10 : 10 \| french community of belgium \| 1 \| 3 \| 6 \| 10 row 11 : 11 \| madagascar \| 1 \| 2 \| 3 \| 6 row 12 : 12 \| burkina faso \| 1 \| None \| 2 \| 3 row 13 : 13 \| togo \| 1 \| None \| 1 \| 2 row 14 : 14 \| guinea \| 1 \| None \| None \| 1 row 15 : 15 \| lebanon \| 1 \| None \| None \| 1 row 16 : 16 \| ivory coast \| None \| 3 \| 3 \| 6 row 17 : 17 \| republic of the congo \| None \| 3 \| 2 \| 5 row 18 : 18 \| new brunswick \| None \| 1 \| 2 \| 3 row 19 : 19 \| central african republic \| None \| 1 \| None \| 1 row 20 : 20 \| dominica \| None \| 1 \| None \| 1 row 21 : 21 \| gabon \| None \| 1 \| None \| 1 row 22 : 22 \| mali \| None \| 1 \| None \| 1 row 23 : 23 \| cambodia \| None \| None \| 2 \| 2 row 24 : 24 \| luxembourg \| None \| None \| 2 \| 2 row 25 : 25 \| mauritius \| None \| None \| 2 \| 2 row 26 : 26 \| burundi \| None \| None \| 1 \| 1 row 27 : 27 \| djibouti \| None \| None \| 1 \| 1 row 28 : 28 \| vietnam \| None \| None \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * ) where nation = 'central african republic'	1
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select count ( title ) where peak chart positions swi >= 30	0
[ header: year \| time \| windspeed \| city \| date \| row 1 : 2000 \| 11.45 \| -2.3 \| kingston \| 13 march \| the progression of powell's 100 m row 2 : 2001 \| 10.5 \| 0.4 \| kingston \| 22 june \| the progression of powell's 100 m row 3 : 2002 \| 10.12 \| 1.3 \| rovereto \| 28 august \| the progression of powell's 100 m row 4 : 2003 \| 10.02 \| 0.8 \| brussels \| 5 september \| the progression of powell's 100 m row 5 : 2004 \| 9.87 \| 0.2 \| brussels \| 3 september \| the progression of powell's 100 m row 6 : 2005 \| 9.77 \| 1.6 \| athens \| 14 june \| the progression of powell's 100 m row 7 : 2006 \| 9.77 \| 1 \| zurich \| 15 august \| the progression of powell's 100 m row 8 : 2007 \| 9.74 \| 1.7 \| rieti \| 9 september \| the progression of powell's 100 m row 9 : 2008 \| 9.72 \| 0.2 \| lausanne \| 2 september \| the progression of powell's 100 m row 10 : 2009 \| 9.82 \| 1.4 \| szczecin \| 15 september \| the progression of powell's 100 m row 11 : 2010 \| 9.82 \| 0.6 \| rome \| 10 june \| the progression of powell's 100 m row 12 : 2011 \| 9.78 \| 1 \| lausanne \| 30 june \| the progression of powell's 100 m ] Execute this SQL based on the above table: select count ( time ) where city = 'zurich'	1
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select count ( * ) where competition = 5	0
[ header: year \| film title \| duration \| film type \| shoot location row 1 : 1972 \| kwadrat (square) \| 4:40 \| 35 mm short film \| pwsftvit ło row 2 : 1972 \| take five \| 3:36 \| 35 mm short film \| pwsftvit ło row 3 : 1973 \| plamuz (music art) \| 9:38 \| 35 mm short film \| smff se-ma- row 4 : 1974 \| zupa (soup) \| 8:22 \| 35 mm short film \| smff se-ma- row 5 : 1975 \| nowa ksiazka ( \| 10:26 \| 35 mm short film \| smff se-ma- row 6 : 1975 \| lokomotywa (loco \| 9:38 \| 35 mm short film \| smff se-ma- row 7 : 1975 \| swieto (holiday) \| 9:38 \| 35 mm short film \| smff se-ma- row 8 : 1976 \| oj! nie moge sie za \| 10:07 \| 35 mm short film \| smff se-ma- row 9 : 1976 \| weg zum nachbarn (way to your \| 2:30 \| 35 mm short film \| smff se-ma- row 10 : 1977 \| piatek - sobota (f \| 3:00 \| 35 mm short film \| smff se-ma- row 11 : 1979 \| mein fenster (my window) \| 2:26 \| 35 mm short film \| vienna row 12 : 1980 \| tango \| 8:14 \| 35 mm short film \| smff se-ma- row 13 : 1980 \| media \| 1:36 \| 35 mm short film \| smff se-ma- row 14 : 1980 \| sceny narciar \| 9:38 \| 35 mm documentary film \| in collaboration with b. dziw row 15 : 1981 \| wdech-wydech ( \| 2:26 \| 35 mm short film \| in collaboration with b. dziw ] Execute this SQL based on the above table: select shoot location where shoot location in ( 'pwsftvit łodz, poland' , 'pwsftvit łodz, poland' ) group by shoot location order by count ( * ) desc limit 1	pwsftvit łodz, poland
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select toss where test no = 861	lost
[ header: place \| player \| country \| score \| to par \| money ($) row 1 : 1 \| larry nelson \| united states \| 70-66-66-71=273 \| -7 \| 60000 row 2 : 2 \| fuzzy zoeller \| united states \| 70-68-68-71=277 \| -3 \| 40000 row 3 : 3 \| dan pohl \| united states \| 69-67-73-69=2 \| -2 \| 25000 row 4 : t4 \| isao aoki \| japan \| 75-68-66-70=279 \| -1 \| 13146 row 5 : t4 \| keith fergus \| united states \| 71-71-69-68=2 \| -1 \| 13146 row 6 : t4 \| bob gilder \| united states \| 74-69-70-66=2 \| -1 \| 13146 row 7 : t4 \| tom kite \| united states \| 71-67-69-72=2 \| -1 \| 13146 row 8 : t4 \| bruce lietzke \| united states \| 70-70-71-68=279 \| -1 \| 13146 row 9 : t4 \| jack nicklaus \| united states \| 71-68-71-69=2 \| -1 \| 13146 row 10 : t4 \| greg norman \| australia \| 73-67-68-71=2 \| -1 \| 13146 ] Execute this SQL based on the above table: select place where to par = ( select to par where place = 2 ) + 1	3
[ header: year \| player \| position \| high school \| college row 1 : 1987 \| buster howe \| rb-db-k-p \| zanesville \| ohio state row 2 : 1988 \| robert smith \| rb \| euclid \| ohio state row 3 : 1989 \| robert smith \| rb \| euclid \| ohio state row 4 : 1990 \| bobby hoying \| qb \| st. henry \| ohio state row 5 : 1991 \| derek kidwell \| qb-de \| fostoria \| bowling green row 6 : 1992 \| marc edwards \| rb-lb \| norwood \| notre dame row 7 : 1993 \| curtis enis \| rb-lb \| mississinawa valley \| penn state row 8 : 1994 \| charles woodson \| db-rb \| fremont ross \| michigan row 9 : 1995 \| andy katzenmoyer \| lb \| westerville south \| ohio state row 10 : 1996 \| derek combs \| rb-db-kr \| grove city \| ohio state row 11 : 1997 \| tony fisher \| rb \| euclid \| notre dame row 12 : 1998 \| ryan brewer \| rb \| troy \| south carolina row 13 : 1999 \| bam childress \| db-wr-kr \| st. peter chanel \| ohio state row 14 : 2000 \| jeff backes \| rb-db \| upper arlington \| northwestern row 15 : 2001 \| maurice clarett \| rb \| warren g. harding \| ohio state row 16 : 2002 \| ben mauk \| qb \| kenton \| wake forest cincinnati row 17 : 2003 \| ray williams \| rb \| cleveland benedictine \| west virginia row 18 : 2004 \| tyrell sutton \| rb \| archbishop hoban \| northwestern row 19 : 2005 \| delone carter \| rb \| copley \| syracuse row 20 : 2006 \| brandon saine \| rb \| piqua \| ohio state row 21 : 2007 \| bart tanski \| qb \| mentor \| bowling green row 22 : 2008 \| erick howard \| rb \| north canton hoover \| akron row 23 : 2009 \| erick howard \| rb \| north canton hoover \| akron row 24 : 2010 \| akise teague \| rb-db-kr \| youngstown ursuline \| cincinnati row 25 : 2011 \| maty mauk \| qb \| kenton \| missouri row 26 : 2012 \| mitch trubisky \| qb \| mentor \| north carolina row 27 : 2013 \| dante booker jr \| lb \| st. vincent - s \| ohio state ] Execute this SQL based on the above table: select year / year where high school = 'kenton'	1, 1
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( notes ) where player = 'arron sears'	0
[ header: call-sign \| location \| rf \| psip \| programming row 1 : wivm-ld \| canton \| 39 \| 39.1 \| rtv row 2 : wivm-ld \| canton \| 39 \| 39.2 \| tuff tv row 3 : wivm-ld \| canton \| 39 \| 39.3 \| pbj row 4 : wivm-ld \| canton \| 39 \| 39.4 \| faith ministries radio (wjee-fm row 5 : wivn-ld \| newcomerstown \| 29 \| 29.1 \| rtv (wivm- row 6 : wivn-ld \| newcomerstown \| 29 \| 29.2 \| pbj row 7 : wivn-ld \| newcomerstown \| 29 \| 29.3 \| tuff tv row 8 : wivn-ld \| newcomerstown \| 29 \| 29.4 \| faith ministries radio (wjee-fm row 9 : wivx-ld \| loudonville \| 51 \| 51.1 \| rtv (wivm- row 10 : wivd-ld \| newcomerstown \| 22 \| 22.1 \| rtv (wivm- row 11 : w27dg-d \| millersburg \| 27 \| 27.1 \| rtv (wivm- ] Execute this SQL based on the above table: select call-sign order by psip + psip + psip limit 1	wivd-ld
[ header: title \| year \| artist(s) \| album \| writer(s) \| producer(s) row 1 : "lucky day (song)" \| 2011 \| nicola roberts \| cinderella's eyes \| martina sorbara, dragonette \| andras vleminckx row 2 : "positive" \| 2011 \| taio cruz \| ' \| taio cruz, andr \| andras vleminckx row 3 : "broken (kate ryan song \| 2010 \| kate ryan \| electroshock (kate ryan album \| anders hansson, kate \| anders hansson, felix per row 4 : "give me more" \| 2012 \| tara mcdonald \| i like this beat \| tara mcdonald, luci \| andras vleminckx row 5 : "drop it low (kat deluna \| 2011 \| kat deluna ft fat \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 6 : "8 days a week" \| 2012 \| jean-roch ft ti \| music saved my life \| jean-roch, timati, \| andras vleminckx row 7 : "can u feel it" \| 2012 \| jean-roch ft tara m \| music saved my life \| jean-roch, tara mcd \| andras vleminckx row 8 : "be there (ballad version)" \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 9 : "muevete mueve \| 2011 \| kat deluna \| inside out (kat deluna album) \| kat deluna, andra \| andras vleminckx row 10 : "hollywood" \| 2013 \| mitchell niemeyer \| ' \| andras vleminckx \| andras vleminckx ] Execute this SQL based on the above table: select producer(s) where producer(s) in ( 'andras vleminckx, jerome riouffreyt' , 'kat deluna ft fatman scoop' ) group by producer(s) order by count ( * ) desc limit 1	andras vleminckx, jerome riouffreyt
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : winner \| 1 \| 12 march 1978 \| dallas \| carpet \| martina navratilova \| evonne goolagong bett \| 6-3, 7-6 row 2 : runner-up \| 3 \| 18 february 1979 \| los angeles \| hard (i) \| martina navratilova \| rosemary casals chris evert \| 4-6, 6-1, 3-6 row 3 : winner \| 4 \| 12 august 1979 \| indianapolis \| clay \| kathy jordan \| penny johnson paula smith \| 6-1, 6-0 row 4 : winner \| 5 \| 28 october 1979 \| tampa \| hard \| virginia ruzici \| ilana kloss bett \| 7-5, 4-6, 7-5 row 5 : winner \| 6 \| 25 november 1979 \| brighton \| carpet \| ann kiyomura \| ilana kloss laura \| 6-2, 6-1 row 6 : runner-up \| 5 \| 2 december 1979 \| melbourne \| grass \| dianne fromholtz \| billie jean king wendy \| 3-6, 3-6 row 7 : runner-up \| 6 \| 10 february 1980 \| los angeles \| hard (i) \| kathy jordan \| rosemary casals martina navrati \| 6-7, 2-6 row 8 : winner \| 8 \| 7 june 1980 \| french open \| clay \| kathy jordan \| ivanna madruga ad \| 6-1, 6-0 row 9 : runner-up \| 10 \| 5 october 1980 \| minneapolis \| carpet \| paula smith \| ann kiyomura candy \| 3-6, 6-4, 1-6 row 10 : runner-up \| 12 \| 16 november 1980 \| tampa \| hard \| paula smith \| rosemary casals candy reynolds \| 6-7, 5-7 row 11 : runner-up \| 13 \| 15 march 1981 \| dallas \| carpet \| kathy jordan \| martina navratilova pa \| 5-7, 4-6 row 12 : runner-up \| 14 \| 21 june 1981 \| eastbourne \| grass \| kathy jordan \| martina navratilova pa \| 7-6, 2-6, 1-6 row 13 : runner-up \| 16 \| 16 august 1981 \| richmond \| carpet \| kathy jordan \| sue barker ann kiyo \| 6-4, 6-7, 4-6 row 14 : runner-up \| 20 \| 17 january 1982 \| cincinnati \| carpet \| pam shriver \| sue barker ann kiyo \| 2-6, 6-7 row 15 : runner-up \| 21 \| 24 january 1982 \| seattle \| carpet \| kathy jordan \| rosemary casals wendy turnbull \| 5-7, 4-6 row 16 : runner-up \| 30 \| 20 february 1983 \| chicago \| carpet \| kathy jordan \| martina navratilova pa \| 1-6, 2-6 row 17 : runner-up \| 32 \| 3 april 1983 \| tokyo \| carpet \| kathy jordan \| billie jean king shar \| 1-6, 1-6 row 18 : winner \| 24 \| 24 april 1983 \| orlando \| clay \| billie jean king \| martina navratilova pa \| 6-3, 1-6, 7-6 row 19 : winner \| 26 \| 31 march 1985 \| palm beach gardens \| clay \| joanne russell \| laura arraya gabriela sa \| 1-6, 6-1, 7-6(4) ] Execute this SQL based on the above table: select no. where no. in ( 6 , 32 ) order by no. desc limit 1	32
[ header: season \| tier \| division \| place row 1 : 2005/06 \| 5 \| 1a aut. pref \| None row 2 : 2006/07 \| 4 \| 3a \| 19th row 3 : 2007/08 \| 5 \| 1a aut. pref \| 2nd row 4 : 2008/09 \| 4 \| 3a \| 18th row 5 : 2009/10 \| 5 \| 1a aut. pref \| 3rd row 6 : 2010/11 \| 5 \| 1a aut. pref \| 9th row 7 : 2011/12 \| 5 \| 1a aut. pref \| 8th row 8 : 2012/13 \| 5 \| 1a aut. pref \| 11th row 9 : 2013/14 \| 5 \| 1a aut. pref \| None ] Execute this SQL based on the above table: select sum ( tier ) where tier <= 4	8.0
[ header: # \| name \| age \| disappeared \| found row 1 : 1 \| wendy lee coffield \| 16 \| july 8, 1982 \| july 15, 1982 row 2 : 3 \| debra lynn bonner \| 23 \| july 25, 1982 \| august 12, 1982 row 3 : 4 \| marcia fay chapman \| 31 \| august 1, 1982 \| august 15, 1982 row 4 : 5 \| cynthia jean hind \| 17 \| august 11, 1982 \| august 15, 1982 row 5 : 6 \| opal charmaine mills \| 16 \| august 12, 1982 \| august 15, 1982 row 6 : 7 \| terry rene milligan \| 16 \| august 29, 1982 \| april 1, 1984 row 7 : 9 \| debra lorraine estes \| 15 \| september 20, 1982 \| may 30, 1988 row 8 : 11 \| denise darcel bush \| 23 \| october 8, 1982 \| june 12, 1985 row 9 : 13 \| shirley marie sherrill \| 18 \| october 20-22, 1982 \| june 1985 row 10 : 14 \| rebecca "becky" marr \| 20 \| december 3, 1982 \| december 21, 2010 row 11 : 15 \| colleen renee brock \| 15 \| december 24, 1982 \| may 26, 1984 row 12 : 18 \| delores laverne willi \| 17 \| march 8-14, 1983 \| march 31, 1984 row 13 : 19 \| gail lynn mathews \| 23 \| april 10, 1983 \| september 18, 1983 row 14 : 20 \| andrea m. childers \| 19 \| april 14, 1983 \| october 11, 1989 row 15 : 21 \| sandra kay gabbert \| 17 \| april 17, 1983 \| april 1, 1984 row 16 : 22 \| kimi-kai pitsor \| 16 \| april 17, 1983 \| december 15, 1983 row 17 : 23 \| marie m. malvar \| 18 \| april 30, 1983 \| september 26, 2003 row 18 : 24 \| carol ann christensen \| 21 \| may 3, 1983 \| may 8, 1983 row 19 : 25 \| martina theresa authorlee \| 18 \| may 22, 1983 \| november 14, 1984 row 20 : 26 \| cheryl lee wims \| 18 \| may 23, 1983 \| march 22, 1984 row 21 : 27 \| yvonne "shelly" anto \| 19 \| may 31, 1983 \| october 15, 1983 row 22 : 28 \| carrie ann rois \| 15 \| may 31 - june 13, 1983 \| march 10, 1985 row 23 : 31 \| tina marie thomp \| 21 \| july 25, 1983 \| april 20, 1984 row 24 : 32 \| april dawn buttram \| 16 \| august 18, 1983 \| august 30, 2003 row 25 : 34 \| tracy ann winston \| 19 \| september 12, 1983 \| march 27, 1986 row 26 : 36 \| mary sue bello \| 25 \| october 11, 1983 \| october 12, 1984 row 27 : 37 \| pammy annette avent \| 15 \| october 26, 1983 \| august 16, 2003 row 28 : 38 \| delise louise plager \| 22 \| october 30, 1983 \| february 14, 1984 row 29 : 39 \| kimberly l. nels \| 21 \| november 1, 1983 \| june 14, 1986 row 30 : 40 \| lisa yates \| 19 \| december 23, 1983 \| march 13, 1984 row 31 : 42 \| cindy anne smith \| 17 \| march 21, 1984 \| june 27, 1987 row 32 : 45 \| marta reeves \| 36 \| march 5, 1990 \| september 20, 1990 row 33 : 46 \| patricia yellowrobe \| 38 \| january 1998 \| august 6, 1998 row 34 : 47 \| unidentified white female \| 12-17 \| died prior to may 1983 \| march 21, 1984 row 35 : 49 \| unidentified female \| 13-24 \| 1973-1993 \| august 2003 ] Execute this SQL based on the above table: select name where id = ( select id where name = 'terry rene milligan' ) - 1	opal charmaine mills
[ header: date \| opponent \| venue \| result \| attendance \| scorers row 1 : 15 august 1987 \| derby county \| away \| 0-1 \| 17204 \| None row 2 : 18 august 1987 \| coventry city \| home \| 0-1 \| 9380 \| None row 3 : 22 august 1987 \| west ham united \| home \| 2-2 \| 8073 \| harford (2) row 4 : 29 august 1987 \| chelsea \| away \| 0-3 \| 16075 \| None row 5 : 31 august 1987 \| arsenal \| home \| 1-1 \| 8745 \| wilson (pen) row 6 : 5 september 1987 \| oxford united \| away \| 5-2 \| 6804 \| breacker, harford, hill row 7 : 12 september 1987 \| everton \| home \| 2-1 \| 8124 \| hill, b. stein row 8 : 19 september 1987 \| charlton athletic \| away \| 0-1 \| 5002 \| None row 9 : 26 september 1987 \| queens park rangers \| away \| 0-2 \| 11175 \| None row 10 : 3 october 1987 \| manchester united \| home \| 1-1 \| 9137 \| harford row 11 : 10 october 1987 \| portsmouth \| away \| 1-3 \| 12391 \| harford (pen) row 12 : 17 october 1987 \| wimbledon \| home \| 2-0 \| 7018 \| b. stein, wilson row 13 : 24 october 1987 \| liverpool \| home \| 0-1 \| 11997 \| None row 14 : 7 november 1987 \| newcastle united \| home \| 4-0 \| 7638 \| nwajiobi, b. row 15 : 5 december 1987 \| norwich city \| home \| 1-2 \| 7002 \| b. stein row 16 : 12 december 1987 \| watford \| away \| 1-0 \| 12152 \| foster row 17 : 26 december 1987 \| everton \| away \| 0-2 \| 32128 \| None row 18 : 28 december 1987 \| charlton athletic \| home \| 1-0 \| 7243 \| wilson row 19 : 1 january 1988 \| chelsea \| home \| 3-0 \| 8018 \| harford, b. stein, row 20 : 2 january 1988 \| west ham united \| away \| 1-1 \| 16716 \| m. stein row 21 : 6 february 1988 \| oxford united \| home \| 7-4 \| 8063 \| harford (2), mcdonough row 22 : 13 february 1988 \| arsenal \| away \| 1-2 \| 22612 \| m.stein row 23 : 5 march 1988 \| wimbledon \| away \| 0-2 \| 4854 \| None row 24 : 15 march 1988 \| coventry city \| away \| 0-4 \| 13711 \| None row 25 : 29 march 1988 \| portsmouth \| home \| 4-1 \| 6740 \| b.stein, m.stein, row 26 : 2 april 1988 \| newcastle united \| away \| 0-4 \| 20752 \| None row 27 : 5 april 1988 \| sheffield wednesday \| home \| 2-2 \| 7337 \| mcdonough, b. row 28 : 12 april 1988 \| manchester united \| away \| 0-3 \| 28830 \| None row 29 : 19 april 1988 \| queens park rangers \| home \| 2-1 \| 6735 \| foster, wilson (pen) row 30 : 30 april 1988 \| norwich city \| away \| 2-2 \| 13171 \| m. stein, wilson row 31 : 4 may 1988 \| tottenham hotspur \| away \| 1-2 \| 15437 \| grimes row 32 : 9 may 1988 \| liverpool \| away \| 1-1 \| 30374 \| oldfield ] Execute this SQL based on the above table: select opponent order by attendance limit 1	wimbledon
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select season where movements = 'promoted'	2009
[ header: interferometer and observing mode \| waveband \| limiting magnitude \| minimum baseline (m) (un-projected) \| maximum baseline (m) \| approx. no. visibility measurements per year (measurements per night x nights used per year) \| max ratio of no. phase / no. amplitude measurements (measure of imaging performance, 0 = none) \| accuracy of amplitude2 measurements \| accuracy of phase measurements (milli-radians) \| number of spectral channels (max in use simultaneously) \| comments row 1 : chara array \| v, r, i, \| 8 \| 34 \| 330 \| 7500 \| 0.7 \| 1% \| 10 \| 30000 \| yes... 30000 in the visible band; max row 2 : coast visible \| r, i \| 7 \| 4 \| 60 \| 2000 \| 0.5 \| 4% \| 10 \| 4 \| 300 cloudy nights per year, maximum baseline 100 row 3 : coast infrared \| j, h \| 3 \| 4 \| 60 \| 100 \| 0.5 \| 20% \| 10 \| 1 \| 300 cloudy nights per year, maximum baseline 100 row 4 : gi2t visible \| r, i \| 5 \| 10 \| 65 \| 2000 \| 0 \| 10% \| None \| 400 \| closed in 2006 row 5 : iota \| j, h, k \| 7 \| 6 \| 30 \| 10000 \| 0.3 \| 2% \| 10 \| 1 \| integrated optics beam combiner. closed row 6 : isi \| n \| 0 \| 10 \| 50 \| 5000 \| 0.3 \| 1% \| 1 \| 1000 \| maximum baseline 70-m row 7 : keck interferometer \| h, k, l, \| 10.3 \| 85 \| 85 \| 1000 \| 0 \| 4% \| 1 \| 330 \| nulling key science underway - no imaging on row 8 : keck aperture masking \| j, h, k, \| 2 \| 0.5 \| 9 \| 20000 \| 0.9 \| 20% \| 10 \| 1 \| closed row 9 : mira 1.2 \| r, i \| 3 \| 30 \| 30 \| 500 \| 0 \| 10% \| None \| 1 \| mid-infrared row 10 : navy precision optical interferometer(npo \| v, r, i \| 5 \| 5 \| 300 \| 50000 \| 0.7 \| 4% \| 10 \| 16 \| at nofs; siderstats operational row 11 : susi \| b, v, r, \| 5 \| 5 \| 640 \| 5000 \| 0 \| 4% \| 10 \| 21 \| no imaging on a single baseline instrument; maximum row 12 : vlti +uts am \| j, h, k simultaneously \| 7 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| used for a few weeks per year. longest row 13 : vlti +ats amber \| j, h, k simultaneously \| 4 \| 46 \| 130 \| 400 \| 0.3 \| 1% \| 10 \| 2000 \| longest overall vlti baseline 130m row 14 : vlti +uts \| k \| 11 \| 46 \| 130 \| 400 \| 0 \| >1% \| None \| 1 \| integrated optics beam combiner. longest overall row 15 : vlti +ats v \| k \| never checked \| 12 \| 200 \| 400 \| 0 \| >1% \| None \| 1 \| longest overall vlti baseline 130m row 16 : vlti +ats midi \| n \| 4.5 \| None \| 200 \| 200 \| 0 \| 10% \| None \| 250 \| vlti inldes world' ] Execute this SQL based on the above table: select interferometer and observing mode order by accuracy of phase measurements (milli-radians) limit 1	gi2t visible
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select position order by concacaf champions league limit 1	fw
[ header: make/model \| series \| model \| year \| notes row 1 : new flyer \| 101-135 \| d40lfr \| 2010 \| None row 2 : new flyer \| 140-169 \| d40lfr \| 2011 \| 140-143 145-153 155- row 3 : new flyer \| 201-230 \| d40lf \| 2004 \| 204 retired due to fire row 4 : new flyer \| 231-260 \| d40lf \| 2005 \| None row 5 : new flyer \| 270-281 \| d40lf \| 2007 \| None row 6 : mci \| 301-334 \| classic \| 1988 \| all retired row 7 : new flyer \| 340-366 \| d40 \| 1992 \| 365 remains, used only during rush hour row 8 : new flyer \| 370-399 \| d40 \| 1994 \| 370 371 372 373 374 row 9 : new flyer \| 401-443 \| d40lf \| 1998 \| all have been rebuilt row 10 : new flyer \| 444-504 \| d40lf \| 1999 \| all have been rebuilt row 11 : new flyer \| 510-561 \| d40lf \| 2002 \| being rebuilt 510 513 515 516 row 12 : new flyer \| 570-599 \| d40lf \| 2003 \| None row 13 : new flyer \| 601-640 \| d40lfr \| 2011 \| 601 603 605 wrap for r row 14 : new flyer \| 671-699 \| d40 \| 1994 \| 684 retired, used only during rush hour row 15 : new flyer \| 701-733 \| d40lfr \| 2008 \| None row 16 : new flyer \| 735-799 \| d40lfr \| 2009 \| None row 17 : new flyer \| 800-829 \| d40lfr \| 2013 \| 800-830 now inservice 822 had row 18 : new flyer \| 901-910 \| invero/d40i \| 2004 \| ex701-710 only used for rush hour row 19 : new flyer \| 911-925 \| d30lf \| 1996 \| all rebuild row 20 : new flyer \| 930-949 \| d30lf \| 2001 \| 931 rebuild row 21 : new flyer \| 971-990 \| d60lf \| 2003 \| ex octranspo most units are between row 22 : new flyer \| 991-993 \| d40lf \| 1994 \| all rebuilt, used only during rush hour ] Execute this SQL based on the above table: select count ( notes ) where year = 2003	1
[ header: season \| level \| name \| position \| nationality \| international caps row 1 : 1973 \| 1 \| kevin beattie \| defender \| england \| 9 row 2 : 1974 \| 1 \| kevin beattie \| defender \| england \| 9 row 3 : 1975 \| 1 \| colin viljoen \| midfielder \| england \| 2 row 4 : 1976 \| 1 \| allan hunter \| defender \| northern ireland \| 53 row 5 : 1977 \| 1 \| george burley \| defender \| scotland \| 11 row 6 : 1978 \| 1 \| mick mills \| defender \| england \| 42 row 7 : 1979 \| 1 \| arnold muhren \| midfielder \| netherlands \| 23 row 8 : 1980 \| 1 \| frans thijssen \| midfielder \| netherlands \| 14 row 9 : 1981 \| 1 \| paul cooper \| goalkeeper \| england \| None row 10 : 1982 \| 1 \| alan brazil \| striker \| scotland \| 13 row 11 : 1983 \| 1 \| paul mariner \| striker \| england \| 35 row 12 : 1984 \| 1 \| trevor putney \| midfielder \| england \| None row 13 : 1985 \| 1 \| terry butcher \| defender \| england \| 77 row 14 : 1986 \| 1 \| terry butcher \| defender \| england \| 77 row 15 : 1987 \| 2 \| romeo zondervan \| midfielder \| netherlands \| 6 row 16 : 1988 \| 2 \| frank yallop \| defender \| canada \| 52 row 17 : 1989 \| 2 \| john wark \| midfielder \| scotland \| 29 row 18 : 1990 \| 2 \| john wark \| midfielder \| scotland \| 29 row 19 : 1991 \| 2 \| david linighan \| defender \| england \| None row 20 : 1992 \| 2 \| john wark \| midfielder \| scotland \| 29 row 21 : 1993 \| 1 \| mick stockwell \| midfielder \| england \| None row 22 : 1994 \| 1 \| john wark \| midfielder \| scotland \| 29 row 23 : 1995 \| 1 \| craig forrest \| goalkeeper \| canada \| 56 row 24 : 1996 \| 2 \| simon milton \| midfielder \| england \| None row 25 : 1997 \| 2 \| mauricio taricco \| defender \| argentina \| None row 26 : 1999 \| 2 \| jamie clapham \| defender \| england \| None row 27 : 2000 \| 2 \| james scowcroft \| striker \| england \| None row 28 : 2001 \| 1 \| marcus stewart \| striker \| england \| None row 29 : 2002 \| 1 \| mark venus \| defender \| england \| None row 30 : 2003 \| 2 \| matt holland \| midfielder \| ireland \| 49 row 31 : 2004 \| 2 \| ian westlake \| midfielder \| england \| None row 32 : 2005 \| 2 \| shefki kuqi \| striker \| finland \| 60 row 33 : 2006 \| 2 \| fabian wilnis \| defender \| netherlands \| None row 34 : 2007 \| 2 \| sylvain legwinski \| midfielder \| france \| None row 35 : 2008 \| 2 \| jonathan walters \| striker \| ireland \| 19 row 36 : 2009 \| 2 \| richard wright \| goalkeeper \| england \| 2 row 37 : 2010 \| 2 \| gareth mcauley \| defender \| northern ireland \| 21 row 38 : 2011 \| 2 \| jimmy bullard \| midfielder \| england \| None row 39 : 2012 \| 2 \| aaron cresswell \| defender \| england \| None row 40 : 2013 \| 2 \| tommy smith \| defender \| new zealand \| 22 ] Execute this SQL based on the above table: select nationality where name > ( select name where position = 'striker' ) order by name asc limit 1	northern ireland
[ header: treaty \| organization \| introduced \| signed \| ratified row 1 : convention on the prevention and punishment of the crime of \| united nations \| 1948 \| None \| 1958 row 2 : international convention on the elimination of all forms of \| united nations \| 1966 \| 1967 \| 1970 row 3 : international covenant on economic, social and cultural rights \| united nations \| 1966 \| 1977 \| 1979 row 4 : international covenant on civil and political rights \| united nations \| 1966 \| 1977 \| 1979 row 5 : first optional protocol to the international covenant on civil and \| united nations \| 1966 \| None \| None row 6 : convention on the non-applicability of \| united nations \| 1968 \| None \| None row 7 : international convention on the suppression and punishment of the crime \| united nations \| 1973 \| None \| None row 8 : convention on the elimination of all forms of discrimination \| united nations \| 1979 \| None \| 1993 row 9 : convention against torture and other cruel, inhuman or \| united nations \| 1984 \| 1986 \| 1993 row 10 : convention on the rights of the child \| united nations \| 1989 \| 1990 \| 1993 row 11 : second optional protocol to the international covenant on civil and \| united nations \| 1989 \| None \| None row 12 : international convention on the protection of the rights of all \| united nations \| 1990 \| 1991 \| 1993 row 13 : optional protocol to the convention on the elimination of all \| united nations \| 1999 \| None \| None row 14 : optional protocol to the convention on the rights of the \| united nations \| 2000 \| 2000 \| 2002 row 15 : optional protocol to the convention on the rights of the \| united nations \| 2000 \| 2000 \| 2001 row 16 : convention on the rights of persons with disabilities \| united nations \| 2006 \| 2007 \| 2009 row 17 : optional protocol to the convention on the rights of persons \| united nations \| 2006 \| None \| 2009 row 18 : international convention for the protection of all persons from enforce \| united nations \| 2006 \| 2007 \| 2013 row 19 : optional protocol to the international covenant on economic, social \| united nations \| 2008 \| None \| None row 20 : optional protocol to the convention on the rights of the \| united nations \| 2011 \| 2012 \| None ] Execute this SQL based on the above table: select count ( treaty ) where ratified > 1861	13
[ header: pos \| no \| driver \| constructor \| lap \| gap row 1 : 1 \| 98 \| walt faulkner \| kurtis kraft-offenhaus \| 4:27.97 \| None row 2 : 2 \| 28 \| fred agabashian \| kurtis kraft-offenhaus \| 4:31.10 \| + 3.13 row 3 : 3 \| 31 \| mauri rose \| deidt-offenhauser \| 4:32.07 \| + 4.10 row 4 : 4 \| 5 \| george connor \| lesovsky-offenhauser \| 4:32.39 \| + 4.42 row 5 : 5 \| 1 \| johnnie parsons \| kurtis kraft-offenhaus \| 4:32.43 \| + 4.46 row 6 : 6 \| 49 \| jack mcgrath \| kurtis kraft-offenhaus \| 4:33.00 \| + 5.03 row 7 : 7 \| 69 \| duke dinsmore \| kurtis kraft-offenhaus \| 4:34.67 \| + 6.70 row 8 : 8 \| 14 \| tony bettenhausen \| deidt-offenhauser \| 4:34.92 \| + 6.95 row 9 : 9 \| 17 \| joie chitwood \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 10 : 10 \| 3 \| bill holland \| deidt-offenhauser \| 4:35.90 \| + 7.93 row 11 : 11 \| 59 \| pat flaherty \| kurtis kraft-offenhaus \| 4:37.76 \| + 9.79 row 12 : 12 \| 54 \| cecil green \| kurtis kraft-offenhaus \| 4:30.86 \| + 2.89 row 13 : 13 \| 18 \| duane carter \| stevens-offenhauser \| 4:33.42 \| + 5.45 row 14 : 14 \| 21 \| spider webb \| maserati-offenhauser \| 4:37.46 \| + 9.49 row 15 : 16 \| 2 \| myron fohr \| marchese-offenhauser \| 4:33.32 \| + 5.35 row 16 : 17 \| 24 \| bayliss levrett \| adams-offenhauser \| 4:34.43 \| + 6.46 row 17 : 18 \| 45 \| dick rathmann \| watson-offenhauser \| 4:34.96 \| + 6.99 row 18 : 19 \| 7 \| paul russo \| nichels-offenhauser \| 4:35.25 \| + 7.28 row 19 : 21 \| 12 \| henry banks \| maserati-offenhauser \| 4:37.68 \| + 9.71 row 20 : 22 \| 67 \| bill schindler \| snowberger-offenhauser \| 4:31.31 \| + 3.34 row 21 : 23 \| 8 \| lee wallard \| moore-offenhauser \| 4:31.83 \| + 3.86 row 22 : 24 \| 55 \| troy ruttman \| lesovsky-offenhauser \| 4:32.91 \| + 4.94 row 23 : 26 \| 15 \| mack hellings \| kurtis kraft-offenhaus \| 4:35.32 \| + 7.35 row 24 : 27 \| 22 \| jimmy davies \| ewing-offenhauser \| 4:36.07 \| + 8.10 row 25 : 29 \| 27 \| walt ader \| rae-offenhauser \| 4:37.05 \| + 9.08 row 26 : 30 \| 77 \| jackie holmes \| olson-offenhauser \| 4:37.57 \| + 9.60 row 27 : 32 \| 61 \| jimmy jackson \| kurtis kraft-cummins \| 4:38.62 \| + 10.65 row 28 : 33 \| 62 \| johnny mcdowell \| kurtis kraft-offenhaus \| 4:37.58 \| + 9.61 ] Execute this SQL based on the above table: select count ( gap ) where gap > 2012	0
[ 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 player where player in ( 'al guepe' , 'dwight hafeli' , 'bill docherty' ) order by pick # desc limit 1	al guepe
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select opponent where opponent in ( 'philadelphia wings' , 'toronto rock' ) order by attendance desc limit 1	toronto rock
[ header: bridge name \| location \| year completed \| total length \| carries row 1 : old youngs bay bridge \| astoria, oregon \| 1921 \| 1,766.2 feet (538.3 m \| u.s. route 101 row 2 : oregon city bridge \| oregon city, oregon \| 1922 \| 745 feet (227 m) \| oregon route 43 row 3 : dry canyon creek bridge \| near rowena, oregon \| 1922 \| 101.1 ft \| u.s. route 30 row 4 : winchester bridge \| winchester, oregon \| 1923 \| 884 feet \| oregon route 99 row 5 : lewis and clark river bridge \| astoria, oregon \| 1924 \| 828 feet \| u.s. route 101 row 6 : ellsworth street bridge \| albany, oregon \| 1925 \| 1,090 feet \| u.s. route 20 row 7 : rocky creek bridge \| lincoln county, oregon \| 1927 \| 360 feet \| u.s. route 101 row 8 : depoe bay bridge \| depoe bay, oregon \| 1927 \| 312 feet \| u.s. route 101 row 9 : crooked river high bridge \| jefferson county, oregon \| 1926 \| 464 feet \| u.s. route 97 row 10 : big creek bridge \| lane county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 11 : ten mile creek bridge \| near yachats, oregon \| 1931 \| 180 feet \| u.s. route 101 row 12 : wilson river bridge \| tillamook county, oregon \| 1931 \| 180 feet \| u.s. route 101 row 13 : rogue river bridge \| grants pass, oregon \| 1931 \| 550 feet \| redwood highway row 14 : cape creek bridge \| near heceta head \| 1932 \| 619 feet (188.6 m) \| u.s. route 101 row 15 : isaac lee patterson bridge \| gold beach, oregon \| 1932 \| 1,898 feet (578.5 m) \| u.s. route 101 row 16 : john mcloughlin bridge \| oregon city, oregon \| 1933 \| 720 feet \| oregon route 99e row 17 : umpqua river bridge \| reedsport, oregon \| 1936 \| 2,206 feet \| u.s. route 101 row 18 : siuslaw river bridge \| florence, oregon \| 1936 \| 1,568 feet \| u.s. route 101 row 19 : alsea bay bridge \| waldport, oregon \| 1936 \| 3,028 feet \| u.s. route 101 row 20 : yaquina bay bridge \| newport, oregon \| 1936 \| 3,223 feet (982 m) \| u.s. route 101 row 21 : coos bay bridge \| north bend, oregon \| 1936 \| 5,305 feet (1.6 km) \| u.s. route 101 ] Execute this SQL based on the above table: select total length where carries = 'redwood highway'	550 feet
[ header: medal \| name \| sport \| event row 1 : silver \| None \| badminton \| men's team row 2 : silver \| aparna popat \| badminton \| women's singles row 3 : silver \| jitender kumar \| boxing \| middleweight row 4 : silver \| jaspal rana \| shooting \| men's 25 m air pistol row 5 : silver \| jaspal rana satendra \| shooting \| men's air pistol pairs row 6 : silver \| dharmaraj wilson \| weightlifting \| men's 56 kg-combined row 7 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-snatch row 8 : silver \| arumugam k. pandian \| weightlifting \| men's 56 kg-clean and jer row 9 : silver \| satheesha rai \| weightlifting \| men's 77 kg-clean and row 10 : silver \| satheesha rai \| weightlifting \| men's 77 kg-combined ] Execute this SQL based on the above table: select count ( event ) where sport = 'boxing'	1
[ header: season \| date \| driver \| team \| chassis \| engine \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 2005 \| july 17 \| sebastien bourdais \| newman/haas racing \| lola \| ford-cosworth \| 88 \| 173.624 (279.42) \| 1:38:55 \| 105.302 \| report row 2 : 2006 \| july 23 \| justin wilson \| rusport \| lola \| ford-cosworth \| 85 \| 167.705 (269.895) \| 1:40:30 \| 100.112 \| report row 3 : 2007 \| july 22 \| sebastien bourdais \| newman/haas/lanigan racing \| panoz \| cosworth \| 96 \| 189.408 (304.822) \| 1:45:41 \| 107.517 \| report row 4 : 2008 \| july 26 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 91 \| 179.543 (288.946) \| 1:51:06 \| 96.967 \| report row 5 : 2009 \| july 26 \| will power \| penske racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:42:42 \| 109.498 \| report row 6 : 2010 \| july 25 \| scott dixon \| chip ganassi racing \| dallara \| honda \| 95 \| 187.435 (301.647) \| 1:50:37 \| 101.666 \| report row 7 : 2011 \| july 24 \| will power \| penske racing \| dallara \| honda \| 80 \| 180.48 (290.454) \| 1:57:23 \| 90.949 \| report row 8 : 2012 \| july 22 \| helio castroneves \| penske racing \| dallara \| chevrolet \| 75 \| 169.2 (272.301) \| 1:38:51 \| 101.246 \| report ] Execute this SQL based on the above table: select count ( * ) where season < 2007	2
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 3 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 4 : 1993 \| taxi hunter \| 的士判官 \| yan \| None row 5 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 6 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 7 : 1994 \| lantern \| 燈籠 \| fong \| None row 8 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 9 : 1995 \| shaolin kung fu kids \| 笑林老祖 \| sister lam \| None row 10 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 11 : 1995 \| a chinese odyss \| 西遊記大結局之仙履奇緣 \| lin zixia \| None row 12 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 13 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 14 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 15 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 16 : 1998 \| tricky king \| 超級整蠱霸王 \| dkny / yand \| None row 17 : 1998 \| step into the dark \| 夜半無人屍語時 \| faith ching \| None row 18 : 1998 \| shanghai affairs \| 新唐山大兄 \| sin \| None row 19 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 20 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 21 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 22 : 1999 \| the h.k. triad \| o記三合會檔案 \| None \| None row 23 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 24 : 1999 \| raped by an angel 4: the \| 強姦終極篇之最後羔羊 \| po-man \| None row 25 : 1999 \| horoscope 1: the voice from \| 生人勿近之問米 \| jojo \| None row 26 : 2000 \| love correction \| 緣份有take 2 \| emma lau \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| stowaway \| 驚天大逃亡 \| kam lan \| None row 29 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 30 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 31 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 32 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 33 : 2004 \| sex and the beauties \| 性感都市 \| kwan tak-han \| None row 34 : 2004 \| love is a many stupid thing \| 精裝追女仔2004 \| chu yan \| guest star ] Execute this SQL based on the above table: select title where year = ( select year where title = 'a chinese odyssey part two: cinderella' ) + 1	the feeling of love, hero of swallow
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select film where id = ( select id where film = 'triunghiul mortii ("triangle of death")' ) + 1	az alombanya
[ header: name \| variant name(s) \| source \| source coordinates \| length \| mouth \| mouth coordinates row 1 : mouth \| None \| None \| None \| None \| aliso creek beach, laguna beach \| 33°30′38′′n 117° row 2 : wood canyon creek \| None \| aliso viejo \| 33°35′39′′n 117° \| 2.8 miles (4.5 km) \| aliso canyon-right bank of alis \| 33°32′28′′n 117° row 3 : sulphur creek \| arroyo salada, sulph \| north laguna niguel \| 33°33′33′′n 117° \| 4.5 miles (7.2 km) \| head of aliso canyon-left bank of \| 33°32′32′′n 117° row 4 : aliso hills channel \| None \| south laguna hills \| None \| 4.5 miles (7.2 km) \| aliso viejo-left bank of al \| None row 5 : dairy fork \| dairy fork storm drain \| south laguna woods \| None \| 3 miles (4.8 km) \| aliso viejo- right bank of al \| None row 6 : munger creek \| munger creek storm drain \| lake forest \| None \| 1 mile (1.6 km) \| mission viejo-right bank of aliso \| None row 7 : unnamed northern fork \| None \| portola hills \| None \| 2.5 miles (4.0 km) \| mission viejo-right bank of aliso \| None row 8 : english canyon \| english canyon creek, english canyon channel \| mission viejo \| 33°39′30′′n 117° \| 3.5 miles (5.6 km) \| mission viejo-left bank of aliso \| 33°37′42′′n 117° row 9 : source \| None \| cleveland national forest, portola \| 33°42′10′′n 117° \| None \| None \| None ] Execute this SQL based on the above table: select count ( source coordinates ) where variant name(s) not null and variant name(s) not null	2
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select count ( * )	19
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select party order by # desc limit 1	republican turkish party
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| keiji mutoh \| 4 \| 19 \| 1238 row 2 : 2 \| hiroshi tanahashi \| 6 \| 27 \| 1237 row 3 : 3 \| shinya hashimoto \| 3 \| 20 \| 1052 row 4 : 4 \| tatsumi fujinami \| 6 \| 13 \| 785 row 5 : 5 \| kensuke sasaki \| 5 \| 9 \| 647 row 6 : 6 \| yuji nagata \| 2 \| 12 \| 570 row 7 : 7 \| kazuchika okada \| 2 \| 10 \| 556 row 8 : 8 \| kazuyuki fujita \| 3 \| 3 \| 478 row 9 : 9 \| big van vader \| 3 \| 4 \| 451 row 10 : 10 \| shinsuke nakamur \| 3 \| 9 \| 390 row 11 : 11 \| riki choshu \| 3 \| 5 \| 383 row 12 : 12 \| antonio inoki \| 1 \| 4 \| 325 row 13 : 13 \| brock lesnar \| 1 \| 3 \| 280 row 14 : 14 \| hiroyoshi tenzan \| 4 \| 2 \| 197 row 15 : 15 \| yoshihiro takayama \| 1 \| 3 \| 185 row 16 : 16 \| satoshi kojima \| 2 \| 2 \| 168 row 17 : 17 \| togi makabe \| 1 \| 3 \| 161 row 18 : 18 \| scott norton \| 2 \| 4 \| 126 row 19 : 19 \| nobuhiko takada \| 1 \| 1 \| 116 row 20 : 20 \| bob sapp \| 1 \| 1 \| 66 row 21 : 21 \| salman hashimikov \| 1 \| 0 \| 48 row 22 : 21 \| tadao yas \| 1 \| 1 \| 48 row 23 : 23 \| manabu nakanishi \| 1 \| 0 \| 45 row 24 : 24 \| masahiro chono \| 1 \| 0 \| 44 row 25 : 25 \| genichiro tenryu \| 1 \| 0 \| 25 ] Execute this SQL based on the above table: select count ( * ) where wrestler = 'big van vader'	1
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select year where role = 'marge simpson'	1992, 2007
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select sum ( attendance ) where loss = 'balester (1-1)'	28814.0
[ header: year \| tournament \| venue \| result \| extra row 1 : 2002 \| european indoor championships \| vienna, austria \| 5th \| None row 2 : 2003 \| universiade \| daegu, south korea \| 3rd \| None row 3 : 2004 \| world indoor championships \| budapest, hungary \| 1st \| 2.04 pbi row 4 : 2004 \| summer olympics \| athens, greece \| 1st \| 2.06 nr row 5 : 2004 \| world athletics final \| monte carlo, monaco \| 1st \| None row 6 : 2006 \| world indoor championships \| moscow, russia \| 1st \| 2.02 row 7 : 2006 \| european championships \| gothenburg, sweden \| 5th \| 1.99 m row 8 : 2006 \| world athletics final \| stuttgart, germany \| 4th \| None row 9 : 2006 \| world cup \| athens, greece \| 1st \| 1.97 row 10 : 2007 \| world championships \| osaka, japan \| 4th \| None row 11 : 2008 \| summer olympics \| beijing, china \| 4th \| 2.01 row 12 : 2011 \| world championships \| daegu, korea \| 4th \| 1.97 ] Execute this SQL based on the above table: select extra where tournament = 'summer olympics'	2.06, 2.01
[ header: team \| competition \| category \| appearances start \| appearances sub \| goals \| team record row 1 : japan \| 2006 afc u-17 championship qualification \| u-15 \| 1 \| 0 \| 0 \| qualified row 2 : japan \| 2006 afc u-17 championship \| u-16 \| 4 \| 1 \| 4 \| champions row 3 : japan \| 2007 fifa u-17 world cup \| u-17 \| 1 \| 2 \| 2 \| round 1 row 4 : japan \| 2008 afc youth championship qualification \| u-18 \| 4 \| 0 \| 2 \| qualified row 5 : japan \| 2008 afc u-19 championship \| u-19 \| 1 \| 1 \| 0 \| quarterfinal row 6 : japan \| 2013 eaff east asian cup \| senior \| 2 \| 0 \| 3 \| champions ] Execute this SQL based on the above table: select count ( * ) where competition = '2008 afc youth championship qualification' and category > 1042	1
[ header: # \| title \| songwriters \| producer(s) \| performer row 1 : 1 \| "shalom a leck" \| p. chapman, k-de \| k-def \| tragedy row 2 : 2 \| "hoodlum intro" \| None \| None \| interlude row 3 : 3 \| "underground" \| p. chapman, k-de \| k-def \| tragedy row 4 : 4 \| "funk mode" \| p. chapman, k-de \| k-def \| tragedy row 5 : 5 \| "grand groove" \| p. chapman, k-de \| k-def \| tragedy row 6 : 6 \| "at large" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 7 : 7 \| "death row" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 8 : 8 \| "speech [check the time]" \| None \| kool tee \| interlude row 9 : 9 \| "mad brothas know his name" \| p. chapman, k-de \| k-def, marley marl \| tragedy row 10 : 10 \| "pass the teck" \| p. chapman, k-de \| k-def \| tragedy, havoc row 11 : 11 \| "street life" \| p. chapman, epitome of \| epitome of scratch \| tragedy row 12 : 12 \| "pump the funk" \| p. chapman, m. will \| marley marl \| tragedy row 13 : 13 \| "role model" \| p. chapman, koo \| kool tee \| tragedy row 14 : 14 \| "the posse [shoot \| p. chapman, mr. \| mr. freaknasti \| tragedy row 15 : 15 \| "grand groove [bonus mix]" \| p. chapman, k-de \| k-def \| tragedy row 16 : 16 \| "funky roll outro" \| None \| None \| interlude ] Execute this SQL based on the above table: select performer order by # desc limit 1	interlude
[ header: place \| code \| area (km2) \| population \| most spoken language row 1 : beatrix mine \| 40701 \| 0.17 \| 2492 \| sotho row 2 : boipatong \| 40702 \| 0.31 \| 1501 \| sotho row 3 : brandfort \| 40703 \| 3.2 \| 1516 \| afrikaans row 4 : fora \| 40704 \| 0.05 \| 530 \| sotho row 5 : ikgomotseng \| 40705 \| 1.07 \| 2254 \| tswana row 6 : joel mine \| 40706 \| 0.11 \| 728 \| sotho row 7 : lusaka \| 40707 \| 1.4 \| 6110 \| sotho row 8 : majwemasweu \| 40708 \| 2.5 \| 10328 \| sotho row 9 : makeleketla \| 40709 \| 1.35 \| 6629 \| sotho row 10 : masilo \| 40710 \| 3.02 \| 14903 \| sotho row 11 : star diamond mine \| 40712 \| 0.11 \| 212 \| sotho row 12 : theunissen \| 40713 \| 15.11 \| 1667 \| afrikaans row 13 : tshepong \| 40714 \| 0.54 \| 1710 \| sotho row 14 : verkeerdevlei \| 40715 \| 1.22 \| 151 \| afrikaans row 15 : winburg \| 40716 \| 70.22 \| 3371 \| sotho row 16 : remainder of the municipality \| 40711 \| 6696.44 \| 10304 \| sotho ] Execute this SQL based on the above table: select place where id = 2	boipatong