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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select count ( * ) where team = 'kyoken kyoto'	1
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select league where playoffs = 'did not qualify'	usl pdl, usl pdl, usl pdl, usl pdl, usl pdl
[ header: player \| played \| legs won \| legs lost \| lwat \| 100+ \| 140+ \| 180s \| high checkout \| 3-dart average row 1 : phil taylor \| 5 \| 74 \| 20 \| 34 \| 130 \| 77 \| 44 \| 144 \| 105.73 row 2 : raymond van barneveld \| 3 \| 35 \| 30 \| 9 \| 85 \| 43 \| 17 \| 126 \| 98.10 row 3 : gary anderson \| 2 \| 17 \| 19 \| 4 \| 42 \| 28 \| 10 \| 151 \| 97.98 row 4 : kevin painter \| 2 \| 13 \| 16 \| 5 \| 32 \| 18 \| 8 \| 130 \| 96.71 row 5 : mervyn king \| 4 \| 45 \| 38 \| 16 \| 112 \| 66 \| 18 \| 147 \| 96.30 row 6 : co stompe \| 1 \| 7 \| 10 \| 2 \| 26 \| 9 \| 4 \| 127 \| 95.84 row 7 : james wade \| 3 \| 33 \| 26 \| 10 \| 75 \| 47 \| 12 \| 153 \| 95.73 row 8 : andy smith \| 1 \| 5 \| 10 \| 1 \| 19 \| 15 \| 1 \| 112 \| 95.29 row 9 : terry jenkins \| 5 \| 61 \| 58 \| 20 \| 157 \| 80 \| 26 \| 131 \| 94.08 row 10 : adrian lewis \| 3 \| 26 \| 28 \| 13 \| 63 \| 40 \| 13 \| 156 \| 93.69 row 11 : ronnie baxter \| 4 \| 54 \| 49 \| 18 \| 142 \| 49 \| 19 \| 132 \| 93.35 row 12 : alan tabern \| 2 \| 24 \| 21 \| 8 \| 66 \| 32 \| 7 \| 157 \| 92.68 row 13 : steve beaton \| 2 \| 18 \| 20 \| 8 \| 52 \| 23 \| 5 \| 110 \| 92.58 row 14 : vincent van der voort \| 3 \| 29 \| 28 \| 9 \| 71 \| 42 \| 13 \| 131 \| 92.57 row 15 : jelle klaasen \| 1 \| 8 \| 10 \| 2 \| 24 \| 4 \| 4 \| 71 \| 92.19 row 16 : mark walsh \| 2 \| 21 \| 18 \| 9 \| 49 \| 26 \| 9 \| 121 \| 92.02 row 17 : wes newton \| 1 \| 3 \| 10 \| 1 \| 16 \| 3 \| 5 \| 96 \| 91.92 row 18 : michael van gerwen \| 1 \| 3 \| 10 \| 0 \| 14 \| 6 \| 1 \| 126 \| 91.26 row 19 : andy hamilton \| 1 \| 6 \| 10 \| 2 \| 21 \| 7 \| 4 \| 120 \| 91.18 row 20 : denis ovens \| 2 \| 22 \| 19 \| 12 \| 64 \| 32 \| 5 \| 125 \| 90.63 row 21 : wayne jones \| 1 \| 7 \| 10 \| 4 \| 26 \| 12 \| 4 \| 121 \| 90.06 row 22 : peter wright \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 2 \| 96 \| 89.39 row 23 : colin osborne \| 1 \| 7 \| 10 \| 4 \| 18 \| 13 \| 2 \| 116 \| 89.18 row 24 : dennis priestley \| 1 \| 5 \| 10 \| 3 \| 22 \| 13 \| 2 \| 84 \| 89.06 row 25 : robert thornton \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 3 \| 56 \| 88.88 row 26 : mark dudbridge \| 1 \| 7 \| 10 \| 5 \| 17 \| 10 \| 3 \| 109 \| 88.28 row 27 : wayne mardle \| 2 \| 16 \| 14 \| 6 \| 36 \| 22 \| 4 \| 115 \| 87.27 row 28 : jamie caven \| 1 \| 3 \| 10 \| 0 \| 13 \| 6 \| 2 \| 120 \| 86.95 row 29 : john part \| 1 \| 6 \| 10 \| 2 \| 19 \| 5 \| 4 \| 76 \| 86.62 ] Execute this SQL based on the above table: select player order by played asc limit 1	co stompe
[ header: year \| album \| label \| peak chart positions us \| peak chart positions us r&b row 1 : 1969 \| gimme shelter \| ode \| None \| None row 2 : 1971 \| celebration \| ode \| None \| None row 3 : 1971 \| merry clayton \| ode \| 180 \| 36 row 4 : 1975 \| keep your eye on the sparrow \| ode \| 146 \| 50 row 5 : 1979 \| emotion \| fontana \| None \| None row 6 : 1994 \| miracles \| a&m \| None \| None ] Execute this SQL based on the above table: select album where year >= 1971 and year <= 1994 group by album order by count ( * ) desc limit 1	miracles
[ header: pos \| no \| rider \| manufacturer \| laps \| time \| grid \| points row 1 : 1 \| 46 \| valentino rossi \| yamaha \| 21 \| 43:06.007 \| 2 \| 25 row 2 : 2 \| 2 \| dani pedrosa \| honda \| 21 \| 4.008 \| 1 \| 20 row 3 : 3 \| 4 \| andrea dovizioso \| honda \| 21 \| 8.536 \| 6 \| 16 row 4 : 4 \| 69 \| nicky hayden \| honda \| 21 \| 8.858 \| 4 \| 13 row 5 : 5 \| 56 \| shinya nakano \| honda \| 21 \| 10.583 \| 15 \| 11 row 6 : 6 \| 1 \| casey stoner \| ducati \| 21 \| 13.64 \| 7 \| 10 row 7 : 7 \| 65 \| loris capirossi \| suzuki \| 21 \| 15.936 \| 8 \| 9 row 8 : 8 \| 5 \| colin edwards \| yamaha \| 21 \| 18.802 \| 5 \| 8 row 9 : 9 \| 7 \| chris vermeulen \| suzuki \| 21 \| 23.174 \| 11 \| 7 row 10 : 10 \| 14 \| randy de puniet \| honda \| 21 \| 25.516 \| 9 \| 6 row 11 : 11 \| 21 \| john hopkins \| kawasaki \| 21 \| 27.609 \| 10 \| 5 row 12 : 12 \| 13 \| anthony west \| kawasaki \| 21 \| 41.399 \| 13 \| 4 row 13 : 13 \| 50 \| sylvain guintoli \| ducati \| 21 \| 45.617 \| 16 \| 3 row 14 : 14 \| 15 \| alex de angelis \| honda \| 21 \| 49.003 \| 17 \| 2 row 15 : 15 \| 24 \| toni elias \| ducati \| 21 \| 59.139 \| 19 \| 1 row 16 : 16 \| 33 \| marco melandri \| ducati \| 21 \| +1:03.328 \| 14 \| None row 17 : 17 \| 9 \| nobuatsu aoki \| suzuki \| 21 \| +1:48.363 \| 18 \| None row 18 : ret \| 48 \| jorge lorenzo \| yamaha \| 12 \| accident \| 3 \| None row 19 : ret \| 52 \| james toseland \| yamaha \| 2 \| accident \| 12 \| None ] Execute this SQL based on the above table: select manufacturer group by manufacturer order by count ( * ) desc limit 1	honda
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select ( select pick where player = 'roy lester' ) - ( select pick where player = 'dale armstrong' )	-20.0
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select conference order by attendance desc limit 1	wikimania 2012
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select game site where id = ( select id where game site = 'astrodome' ) + 1	the meadowlands
[ header: year \| award \| group \| result \| notes row 1 : 2004 \| black reel awards \| best actor: drama \| nominated \| the human stain (film) row 2 : 2004 \| black reel awards \| best breakthrough performance \| nominated \| the human stain (film) row 3 : 2006 \| academy of science fiction, fantasy & horror films \| best actor on television \| nominated \| prison break row 4 : 2006 \| teen choice awards \| tv - choice actor \| nominated \| prison break row 5 : 2006 \| teen choice awards \| tv - choice breakout star \| nominated \| prison break row 6 : 2006 \| golden globes awards \| best performance by an actor in a television series \| nominated \| prison break row 7 : 2007 \| teen choice awards \| choice tv actor: drama \| nominated \| prison break row 8 : 2008 \| teen choice awards \| choice tv actor: action adventure \| nominated \| prison break row 9 : 2014 \| fangoria chainsaw awards \| best screenplay \| pending \| stoker (film) ] Execute this SQL based on the above table: select year where id = ( select id where year = 2006 ) - 1	2004
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select ( select id where took office = '17 july 1943' ) - ( select id where took office = '26 november 1959' ) - 1	-4
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select count ( * )	20
[ header: town/village \| population \| postal code \| municipality \| island \| location row 1 : dalur \| 48 \| fo 235 \| husavikar \| sandoy \| 61°46′56′′n 6° row 2 : depil \| 2 \| fo 735 \| hvannasunds \| borðoy \| 62°17′10′′n 6° row 3 : famjin \| 113 \| fo 870 \| famjins \| suðuroy \| 61°31′35′′n 6° row 4 : funningur \| 83 \| fo 475 \| funnings \| eysturoy \| 62°17′17′′n 6° row 5 : gøtugjogv \| 53 \| fo 511 \| gøtu \| eysturoy \| 62°11′25′′n 6° row 6 : haldarsvik \| 164 \| fo 440 \| sunda \| streymoy \| 62°16′37′′n 7° row 7 : hellur \| 26 \| fo 695 \| fuglafjarðar \| eysturoy \| 62°15′49′′n 6° row 8 : klaksvik \| 4681 \| fo 700 \| klaksvikar \| borðoy \| 62°13′26′′n 6° row 9 : lambi \| 142 \| fo 627 \| runavikar \| eysturoy \| 62°8′33′′n 6° row 10 : miðvagur \| 1032 \| fo 370 \| miðvags \| vagar \| 62°3′4′′n 7° row 11 : nes, vagur \| 30 \| fo 925 \| vags \| suðuroy \| 61°28′20′′n 6° row 12 : saltnes \| 153 \| fo 656 \| nes \| eysturoy \| 62°6′19′′n 6° row 13 : sandur \| 596 \| fo 210 \| sands \| sandoy \| 61°50′10′′n 6° row 14 : selatrað \| 63 \| fo 497 \| sjovar \| eysturoy \| 62°9′31′′n 6° row 15 : skalabotnur \| 100 \| fo 485 \| runavikar \| eysturoy \| 62°11′52′′n 6° row 16 : strendur \| 817 \| fo 490 \| sjovar \| eysturoy \| 62°6′46′′n 6° ] Execute this SQL based on the above table: select count ( * ) where town/village = 'skalabotnur'	1
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select count ( pos ) where constructor = 'ferrari'	2
[ header: represent \| contestant \| age \| height \| hometown row 1 : alta verapaz \| casetie lily dubo \| 23 \| 1.74 m (5 ft 8 1 \| copan row 2 : chimaltenango \| wendy karina albizures \| 19 \| 1.83 m (6 ft 0 \| chimaltenango row 3 : ciudad capital \| rita elizabeth med \| 19 \| 1.77 m (5 ft 9 1 \| ciudad guatemala row 4 : guatemala \| ana maribel arana r \| 22 \| 1.79 m (5 ft 10 1 \| villa nueva row 5 : izabal \| jessica jazmin donabo \| 18 \| 1.75 m (5 ft 9 in \| puerto barrios row 6 : jalapa \| luz yohana \| 20 \| 1.76 m (5 ft 9 1 \| jalapa row 7 : quetzaltenango \| clara jennifer chiong \| 24 \| 1.81 m (5 ft 11 1 \| quetzaltenango ] Execute this SQL based on the above table: select age where id = ( select id where age = 19 ) + 1	19.0
[ header: year \| title \| catalog row 1 : 1937 \| everybody sing \| decca 1332 row 2 : 1939 \| over the rainbow / the jitterbug \| decca 2672 row 3 : 1939 \| in between / sweet sixteen \| decca 15045 row 4 : 1940 \| friendship (w. johnny mer \| decca 3165 row 5 : 1940 \| it's a great day for the \| decca 3604 row 6 : 1941 \| how about you? / f.d \| decca 4072 row 7 : 1941 \| poor you / last call for love \| decca 18320 row 8 : 1942 \| for me and my gal / when you \| decca 18480 row 9 : 1942 \| i never knew / on the sunny side \| decca 18524 row 10 : 1942 \| that old black magic / poor little rich girl \| decca 18540 row 11 : 1943 \| could you use me? ( w. mic \| decca 23303 row 12 : 1944 \| the trolley song / boys and girls like you \| decca 23361 row 13 : 1944 \| have yourself a merry little christmas \| decca 23362 row 14 : 1945/1944 \| yah-ta-ta, \| decca 23410 row 15 : 1945/1944 \| connecticut / mine (w. \| decca 23804 row 16 : 1945 \| on the atchison, topeka and \| decca 23436 row 17 : 1944/1945 \| have yourself a merry little christmas \| decca 9-29295 row 18 : 1945 \| this heart of mine / love \| decca 18660 row 19 : 1945 \| on the atchison, topeka and \| decca 23438 row 20 : 1946 \| for you, for me, forevermore / \| decca 23687 row 21 : 1946 \| there is no breeze / don't tell \| decca 23746 row 22 : 1947 \| i wish i were in love again \| decca 24469 row 23 : 1947 \| look for the silver lining \| mgm 30002 row 24 : 1948 \| mack the black \| mgm 30099 row 25 : 1948 \| easter parade (w. fred as \| mgm 30185 row 26 : 1948 \| better luck next time \| mgm 30187 row 27 : 1950 \| friendly star / get happy \| mgm 30254 row 28 : 1956/1955 \| maybe i'll come back / over \| capitol 6128 row 29 : 1961 \| san francisco / chica \| capitol 6125 row 30 : 1965 \| hello, dolly! / he' \| capitol 5497 ] Execute this SQL based on the above table: select ( select title where title = 'for me and my gal / when you wore a tulip (w. gene kelly)' ) > 415	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select abs ( ( select 31 mar where div sec division = 'jaffna' ) - ( select 31 mar where div sec division = 'thampalakamam' ) )	105.0
[ header: location \| frequency \| call sign \| network \| call sign meaning row 1 : beach \| 91.9 \| k220fi (kdp \| news and classical \| None row 2 : bismarck \| 90.5 \| kcnd \| news and classical \| capital of north dakota row 3 : bowman \| 91.9 \| k220fj (kdp \| news and classical \| None row 4 : crosby \| 91.9 \| k220ff (kppw \| news and classical \| None row 5 : devils lake \| 91.7 \| kppd \| news and classical \| prairie public radio devils lake row 6 : dickinson \| 89.9 \| kdpr \| news and classical \| dickinson public radio row 7 : fargo \| 91.9 \| kdsu \| mixed news and classical & roots, rock, \| north dakota state university row 8 : grand forks \| 89.3 \| kund-fm \| news and classical \| university of north dakota row 9 : grand forks \| 90.7 \| kfjm \| roots, rock, and jazz \| folk and jazz music row 10 : jamestown \| 91.5 \| kprj \| news and classical \| public radio jamestown row 11 : hettinger \| 91.9 \| k220fg (kdp \| news and classical \| None row 12 : lisbon \| 98.3 \| k252ez (kdsu \| mixed news and classical & roots, rock, \| None row 13 : minot \| 88.9 \| kmpr \| news and classical \| minot public radio row 14 : plentywood, mt \| 91.9 \| k220fe (kppw \| news and classical \| None row 15 : thief river falls, mn \| 88.3 \| k202bk (kund-f \| news and classical \| None row 16 : tioga \| 91.9 \| k220fh (kppw \| news and classical \| None row 17 : wahpeton \| 94.7 \| k234bx (kds \| mixed news and classical & roots, rock, \| None row 18 : williston \| 89.5 \| kppr \| roots, rock, and jazz \| prairie public radio row 19 : williston \| 88.7 \| kppw \| news and classical \| prairie public williston ] Execute this SQL based on the above table: select sum ( frequency ) where frequency in ( '94.7' , '91.9' , '91.9' )	738.0
[ header: no. \| name \| position \| date of birth (age) \| signed from \| notes row 1 : 1 \| leonardo burian \| gk \| january 21, 1984 (age 30) \| bella vista \| first team goalkeeper row 2 : 4 \| christian nunez \| df \| september 24, 1982 (age 31) \| cerro \| None row 3 : 5 \| santiago romero \| mf \| february 15, 1990 (age 24) \| the academy \| reserve team player row 4 : 6 \| alexis rolin \| df \| march 2, 1989 (age 25) \| the academy \| None row 5 : 7 \| rafael garcia \| mf \| january 6, 1989 (age 25) \| rampla juniors \| None row 6 : 10 \| tabare viudez \| fw \| september 8, 1989 (age 24) \| necaxa \| None row 7 : 14 \| diego placente \| df \| april 24, 1977 (age 37) \| san lorenzo \| None row 8 : 16 \| mathias abero \| df \| april 9, 1990 (age 24) \| racing \| None row 9 : 17 \| maximiliano calzada \| mf \| april 21, 1990 (age 24) \| the academy \| None row 10 : 19 \| andres scotti \| df \| december 14, 1975 (age 38) \| colo-colo \| in on 3 january 2012 row 11 : 21 \| matias vecino \| mf \| august 24, 1991 (age 22) \| central espanol \| None row 12 : 23 \| facundo piriz \| mf \| march 27, 1990 (age 24) \| the academy \| None row 13 : 24 \| marcos aguirre \| mf \| march 30, 1984 (age 30) \| san martin (san \| in on 12 january 2012 row 14 : 25 \| jorge bava \| gk \| january 22, 1982 (age 32) \| cerro \| in on 13 january 2012 row 15 : None \| diego barboza \| df \| january 9, 1991 (age 23) \| the academy \| reserve team player row 16 : None \| sebastian coates \| df \| october 7, 1990 (age 23 \| the academy \| out on 26 august 2011 row 17 : None \| gabriel marques \| df \| march 31, 1983 (age 31) \| river plate \| out on 29 december 2011 row 18 : None \| gonzalo godoy \| df \| january 17, 1988 (age 26) \| cerro \| out on 5 january 2012 row 19 : None \| sebastian gorga \| df \| april 6, 1994 (age 20) \| the academy \| reserve team player row 20 : None \| maximiliano moreira \| df \| june 11, 1994 (age 20) \| the academy \| reserve team player row 21 : None \| agustin tabarez \| df \| october 15, 1994 (age 19 \| the academy \| reserve team player row 22 : None \| damian eroza \| mf \| march 22, 1993 (age 21) \| the academy \| reserve team player row 23 : None \| gaston pereiro \| mf \| june 11, 1995 (age 19) \| the academy \| reserve team player row 24 : None \| gonzalo vega \| mf \| june 29, 1992 (age 21) \| the academy \| reserve team player row 25 : None \| leandro barcia \| fw \| october 8, 1993 (age 20 \| the academy \| reserve team player row 26 : None \| lucas cavallini \| fw \| december 28, 1992 (age 21) \| the academy \| reserve team player row 27 : None \| renato cesar \| fw \| april 8, 1993 (age 20) \| the academy \| None ] Execute this SQL based on the above table: select count ( * ) where position = 640	0
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select home ground where home ground != 'mackay junior rugby league ground' and last year in qld cup = ( select last year in qld cup where home ground = 'mackay junior rugby league ground' )	quad park
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select competition where year = 2010 - 1	universiade
[ header: country \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 row 1 : australia \| 160 \| 230 \| 290 \| 230 \| 200 \| 200 \| 200 \| None \| None \| None \| None \| None row 2 : brazil \| 30000 \| 22000 \| 26000 \| 29000 \| 29900 \| 35000 \| 40000 \| 57300 \| 58000 \| 58000 \| 58000 \| 58000 row 3 : canada \| 2290 \| 3200 \| 3410 \| 3280 \| 3400 \| 3310 \| 4167 \| 3020 \| 4380 \| 4330 \| 4420 \| 4400 row 4 : congo d.r \| None \| 50 \| 50 \| 13 \| 52 \| 25 \| None \| None \| None \| None \| None \| None row 5 : mozambique \| None \| None \| 5 \| 34 \| 130 \| 34 \| 29 \| None \| None \| None \| None \| None row 6 : nigeria \| 35 \| 30 \| 30 \| 190 \| 170 \| 40 \| 35 \| None \| None \| None \| None \| None row 7 : rwanda \| 28 \| 120 \| 76 \| 22 \| 63 \| 63 \| 80 \| None \| None \| None \| None \| None row 8 : world \| 32600 \| 25600 \| 29900 \| 32800 \| 34000 \| 38700 \| 44500 \| 60400 \| 62900 \| 62900 \| 62900 \| 63000 ] Execute this SQL based on the above table: select count ( * ) where country = 'congo d.r'	1
[ header: year \| film \| role \| language \| notes row 1 : 2004 \| kyun! ho gaya na \| diya's sister \| hindi \| None row 2 : 2007 \| lakshmi kalyanam \| lakshmi \| telugu \| None row 3 : 2007 \| chandamama \| mahalakshmi \| telugu \| None row 4 : 2008 \| pourudu \| samyukhta \| telugu \| None row 5 : 2008 \| pazhani \| deepti \| tamil \| None row 6 : 2008 \| aatadista \| sunnanda \| telugu \| None row 7 : 2008 \| saroja \| pooja \| tamil \| cameo appearance row 8 : 2008 \| bommalattam \| anitha \| tamil \| None row 9 : 2009 \| modhi vilayadu \| easwari laksh \| tamil \| None row 10 : 2009 \| magadheera \| yuvarani mithravind \| telugu \| dual role nominated- filmfare award row 11 : 2009 \| ganesh just ganes \| divya \| telugu \| None row 12 : 2009 \| arya 2 \| geethanjali \| telugu \| None row 13 : 2010 \| om shanti \| meghana \| telugu \| None row 14 : 2010 \| darling \| nandini \| telugu \| nominated- filmfare award for best row 15 : 2010 \| naan mahaan alla \| priya sudharsan \| tamil \| None row 16 : 2010 \| brindaavanam \| bhoomi \| telugu \| cinemaa award for best actress (telugu row 17 : 2011 \| mr. perfect \| priya \| telugu \| nominated- filmfare award for best row 18 : 2011 \| veera \| chitti \| telugu \| None row 19 : 2011 \| singham \| kavya bhosle \| hindi \| nominated- filmfare award for best row 20 : 2011 \| dhada \| rhea \| telugu \| None row 21 : 2012 \| businessman \| chitra \| telugu \| None row 22 : 2012 \| maattrraan \| anjali \| tamil \| None row 23 : 2012 \| thuppakki \| nisha \| tamil \| cinemaa award for best actress (tamil row 24 : 2012 \| sarocharu \| sandhya \| telugu \| None row 25 : 2013 \| naayak \| madhu \| telugu \| None row 26 : 2013 \| special 26 \| priya chauhan \| hindi \| None row 27 : 2013 \| baadshah \| janaki \| telugu \| None row 28 : 2013 \| all in all azhagu raj \| chitra devi priya \| tamil \| None row 29 : 2014 \| jilla \| shanthi \| tamil \| None row 30 : 2014 \| yevadu \| deepthi \| telugu \| special appearance row 31 : 2014 \| govindudu andarivadele \| None \| telugu \| filming row 32 : 2014 \| 'untitled balaji mohan project \| None \| tamil \| pre-production ] Execute this SQL based on the above table: select notes where notes != 'None' group by notes having count ( * ) = 2	nominated- filmfare award for best actress - telugu
[ header: rank \| rider \| team \| points row 1 : 1 \| robbie mcewen (aus \| davitamon-lotto \| 288 row 2 : 2 \| erik zabel (ger) \| team milram \| 199 row 3 : 3 \| thor hushovd (nor \| credit agricole \| 195 row 4 : 4 \| bernhard eisel ( \| francaise des jeux \| 176 row 5 : 5 \| luca paolini (ita) \| liquigas \| 174 row 6 : 6 \| inaki isasi (esp \| euskaltel-euskad \| 130 row 7 : 7 \| francisco ventoso (es \| saunier duval-prodir \| 128 row 8 : 8 \| cristian moreni (ita \| cofidis \| 116 row 9 : 9 \| jimmy casper (fra \| cofidis \| 98 row 10 : 10 \| oscar pereiro (esp \| caisse d'epargne-illes \| 88 ] Execute this SQL based on the above table: select count ( team ) where points > 288	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 division = 'reg. pref' order by division desc limit 1	11th
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 3, 1978 \| at new orleans saints \| l 31-24 \| 54,187 row 2 : 2 \| september 11, 1978 \| denver broncos \| w 12-9 \| 46,508 row 3 : 3 \| september 17, 1978 \| tampa bay buccaneers \| l 16-10 \| 46,152 row 4 : 4 \| september 25, 1978 \| at chicago bears \| w 24-20 \| 53,551 row 5 : 5 \| october 1, 1978 \| at tampa bay buccaneers \| w 24-7 \| 65,972 row 6 : 6 \| october 8, 1978 \| at seattle seahawks \| l 29-28 \| 62,031 row 7 : 7 \| october 15, 1978 \| los angeles rams \| l 34-17 \| 46,551 row 8 : 8 \| october 22, 1978 \| green bay packers \| w 21-7 \| 47,411 row 9 : 9 \| october 26, 1978 \| at dallas cowboys \| w 21-10 \| 61,848 row 10 : 10 \| november 5, 1978 \| detroit lions \| w 17-7 \| 46,008 row 11 : 11 \| november 12, 1978 \| chicago bears \| w 17-14 \| 43,286 row 12 : 12 \| november 19, 1978 \| san diego chargers \| l 13-7 \| 38,859 row 13 : 13 \| november 26, 1978 \| at green bay packers \| t 10-10 (ot) \| 51,737 row 14 : 14 \| december 3, 1978 \| philadelphia eagles \| w 28-27 \| 38,722 row 15 : 15 \| december 9, 1978 \| at detroit lions \| l 45-14 \| 78,685 row 16 : 16 \| december 17, 1978 \| at oakland raiders \| l 27-20 \| 44,643 ] Execute this SQL based on the above table: select opponent where opponent in ( 'at dallas cowboys' , 'at oakland raiders' ) order by attendance desc limit 1	at dallas cowboys
[ header: # \| temple name \| hangul \| hanja \| period of reign \| personal name \| relationship \| note row 1 : 5 \| chogo \| 초고왕 \| 肖古王 \| 166-214 \| None \| son of gaeru \| also sogo (소고왕, 素古王) row 2 : 7 \| saban \| 사반왕 \| 沙泮王 \| 234 \| None \| first son of gusu \| also sai (사이왕, 沙伊王 row 3 : 9 \| chaekgye \| 책계왕 \| 責稽王 \| 286-298 \| None \| son of goi \| also cheonggye (청계왕, row 4 : 11 \| biryu \| 비류왕 \| 比流王 \| 304-344 \| None \| second son of gusu \| None row 5 : 13 \| geunchogo \| 근초고왕 \| 近肖古王 \| 346-375 \| yeogu \| second son of biryu \| also chogo (초고왕, 肖古王) row 6 : 15 \| chimnyu \| 침류왕 \| 枕流王 \| 384-385 \| None \| first son of geungusu \| None row 7 : 16 \| jinsa \| 진사왕 \| 辰斯王 \| 385-392 \| None \| younger brother of chimnyu \| also buyeohui (부여휘, 扶餘暉 row 8 : 17 \| asin \| 아신왕 \| 阿莘王 \| 392-405 \| None \| nephew of jinsa; first son \| also aha (아화왕, 阿華王) row 9 : 19 \| gu-isin \| 구이신왕 \| 久爾辛王 \| 420-427 \| None \| first son of jeonji \| None row 10 : 23 \| samgeun \| 삼근왕 \| 三斤王 \| 477-479 \| samgeun (삼근, 三斤 \| first son of munju \| also mun-geun (문근왕, 文斤王 row 11 : 24 \| dongseong \| 동성왕 \| 東城王 \| 479-501 \| modae (모대, 牟大) or \| cousin of samgeum \| None ] Execute this SQL based on the above table: select note where # = 7	also sai (사이왕, 沙伊王)
[ header: jamo \| hangul compatibility \| hangul jamo area \| hanyang private use \| halfwidth row 1 : ᅷ \| None \| u+1177 \| u+f809 \| None row 2 : ᅣ \| u+3151 \| u+1163 \| u+f80c \| u+ffc4 row 3 : ᅹ \| None \| u+1179 \| u+f80e \| None row 4 : ᅺ \| None \| u+117a \| u+f812 \| None row 5 : ᅼ \| None \| u+117c \| u+f814 \| None row 6 : ᅽ \| None \| u+117d \| u+f818 \| None row 7 : ᅨ \| u+3156 \| u+1168 \| u+f81a \| u+ffcb row 8 : ᅩ \| u+3157 \| u+1169 \| u+f81b \| u+ffcc row 9 : ᅩᅤ \| None \| u+11a7 \| u+f81f \| None row 10 : ᆀ \| None \| u+1180 \| u+f821 \| None row 11 : ᅩᅧ \| None \| u+d7b0 \| u+f822 \| None row 12 : ᅩᅩᅵ \| None \| u+d7b1 \| u+f825 \| None row 13 : ᆃ \| None \| u+1183 \| u+f826 \| None row 14 : ᅭᅢ \| None \| u+d7b3 \| u+f82a \| None row 15 : ᆄ \| u+3187 \| u+1184 \| u+f82b \| None row 16 : ᆊ \| None \| u+118a \| u+f833 \| None row 17 : ᅯ \| u+315d \| u+116f \| u+f834 \| u+ffd4 row 18 : ᆋ \| None \| u+118b \| u+f835 \| None row 19 : ᅰ \| u+315e \| u+1170 \| u+f836 \| u+ffd5 row 20 : ᅮᅧ \| None \| u+d7b5 \| u+f837 \| None row 21 : ᆍ \| None \| u+118d \| u+f839 \| None row 22 : ᅱ \| u+315f \| u+1171 \| u+f83a \| u+ffd6 row 23 : ᆎ \| None \| u+118e \| u+f83d \| None row 24 : ᅲᅢ \| None \| u+d7b7 \| u+f83e \| None row 25 : ᆐ \| None \| u+1190 \| u+f840 \| None row 26 : ᆑ \| u+318a \| u+1191 \| u+f841 \| None row 27 : ᆒ \| u+318b \| u+1192 \| u+f842 \| None row 28 : ᅲᅩ \| None \| u+d7b8 \| u+f843 \| None row 29 : ᆓ \| None \| u+1193 \| u+f844 \| None row 30 : ᆔ \| u+318c \| u+1194 \| u+f845 \| None row 31 : ᅳᅡ \| None \| u+d7b9 \| u+f847 \| None row 32 : ᅳᅥ \| None \| u+d7ba \| u+f848 \| None row 33 : ᆖ \| None \| u+1196 \| u+f84c \| None row 34 : ᅵ \| u+3163 \| u+1175 \| u+f84f \| u+ffdc row 35 : ᅵᅣᅩ \| None \| u+d7bd \| u+f852 \| None row 36 : ᅵᅤ \| None \| u+d7be \| u+f853 \| None ] Execute this SQL based on the above table: select count ( * ) where halfwidth = 'None'	0
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select max ( col height (m) )	2797.0
[ header: draft order round \| draft order choice \| player \| position \| height \| weight \| college row 1 : 1 \| 1 \| matthew stafford \| qb \| 6 ft 2 in (1.88 \| 223 lb (101 kg) \| georgia row 2 : 1 \| 20 \| brandon pettigrew \| te \| 6 ft 5 in (1.96 \| 263 lb (119 kg) \| oklahoma state row 3 : 2 \| 33 \| louis delmas \| s \| 5 ft 11 in (1.80 \| 202 lb (92 kg) \| western michigan row 4 : 3 \| 76 \| deandre levy \| olb \| 6 ft 2 in (1.88 \| 236 lb (107 kg) \| wisconsin row 5 : 3 \| 82 \| derrick williams \| wr \| 5 ft 11 in (1.80 \| 197 lb (89 kg) \| penn state row 6 : 4 \| 115 \| sammie lee hill \| dt \| 6 ft 4 in (1.93 \| 329 lb (149 kg) \| stillman row 7 : 6 \| 192 \| aaron brown \| rb \| 6 ft 1 in (1.85 \| 196 lb (89 kg) \| texas christian row 8 : 7 \| 228 \| lydon murtha \| ot \| 6 ft 7 in (2.01 \| 315 lb (143 kg) \| nebraska row 9 : 7 \| 235 \| zack follett \| olb \| 6 ft 1 in (1.85 \| 238 lb (108 kg) \| california row 10 : 7 \| 255 \| dan gronkowski \| te \| 6 ft 6 in (1.98 \| 255 lb (116 kg) \| maryland ] Execute this SQL based on the above table: select max ( draft order round ) - min ( draft order round )	6.0
[ header: rank \| athlete \| ski time \| penalties p+s+p+s \| total row 1 : None \| zhang qing (chn) \| 59:53.2 \| 1+1+0+1 \| 1:02:53.2 row 2 : None \| dmitriy pozdn \| 1:01:01.0 \| 0+2+0+0 \| 1:03:01.0 row 3 : None \| dmitriy pantov ( \| 59:24.8 \| 1+2+0+1 \| 1:03:24.8 row 4 : 4 \| hideki yamamoto (jpn) \| 1:02:55.5 \| 0+1+3+0 \| 1:06:55.5 row 5 : 5 \| qiu lianhai (ch \| 1:03:18.9 \| 1+1+0+2 \| 1:07:18.9 row 6 : 6 \| shin byung-gook (kor \| 1:02:49.3 \| 1+2+1+1 \| 1:07:49.3 row 7 : 7 \| son hae-kwon (kor) \| 1:02:58.3 \| 1+1+2+1 \| 1:07:58.3 row 8 : 8 \| wang xin (chn) \| 1:04:42.4 \| 2+1+1+1 \| 1:09:42.4 row 9 : 9 \| naoki shindo \| 1:03:08.5 \| 3+1+0+3 \| 1:10:08.5 row 10 : 9 \| jeon jae-won (kor) \| 1:02:08.5 \| 2+2+2+2 \| 1:10:08.5 row 11 : 11 \| alexey karevskiy ( \| 1:03:28.8 \| 3+1+1+2 \| 1:10:28.8 row 12 : 12 \| sergey abdukarov (kaz \| 1:05:11.4 \| 1+2+1+3 \| 1:12:11.4 row 13 : 13 \| takashi shindo ( \| 1:01:15.0 \| 3+3+2+4 \| 1:13:15.0 row 14 : 14 \| shinji ebisawa (jp \| 1:04:13.6 \| 3+3+1+3 \| 1:14:13.6 row 15 : 15 \| choi neung-chul \| 1:08:50.6 \| 3+2+0+1 \| 1:14:50.6 row 16 : 16 \| byamba enkh-amgalan \| 1:15:20.4 \| 4+5+2+2 \| 1:28:20.4 ] Execute this SQL based on the above table: select rank where rank = 5	5.0
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select rank where studio = 'paramount'	2, 3, 20
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select count ( opponents in the final ) where outcome < 'runner-up'	0
[ header: date \| racecourse \| distance \| race status \| race \| position \| winning distance (lengths) \| jockey \| rating \| going \| odds \| prize money row 1 : april 10, 2004 \| kempton park \| 8f \| listed \| snowdrop fillies stakes \| 2nd to beneventa \| None \| johnny murtagh \| 114 \| good to soft \| 4/11f \| £6,600 row 2 : april 24, 2004 \| sandown park \| 8f \| group 2 \| betfred mile \| 3rd to hurricane alan \| None \| johnny murtagh \| 114 \| good to soft \| 5/2f \| £11,000 row 3 : may 22, 2004 \| curragh \| 8f \| group 2 \| ridgewood pearl stakes \| 1st \| 6 \| johnny murtagh \| None \| good to firm \| 11/10f \| £56,760.56 row 4 : june 15, 2004 \| royal ascot \| 8f \| group 1 \| queen anne stakes \| 2nd to refuse to bend \| None \| johnny murtagh \| 114 \| good to firm \| 6/1 \| £55,000 row 5 : july 6, 2004 \| newmarket \| 8f \| group 1 \| falmouth stakes \| 1st \| 21⁄2 \| johnny murtagh \| 114 \| good to firm \| 11/4 \| £116,000 row 6 : july 28, 2004 \| goodwood \| 8f \| group 1 \| sussex stakes \| 1st \| nk \| johnny murtagh \| 115 \| good \| 3/1 \| £174,000 row 7 : september 11, 2004 \| leopardstown \| 8f \| group 1 \| matron stakes \| 1st \| 1⁄2 \| johnny murtagh \| None \| good to firm \| 8/13f \| £119,014.08 row 8 : september 25, 2004 \| ascot \| 8f \| group 1 \| qeii stakes \| 6th to rakti \| None \| johnny murtagh \| 120 \| good to firm \| 5/2f \| £3,750 ] Execute this SQL based on the above table: select date where date != 'april 24, 2004' and rating = ( select rating where date = 'april 24, 2004' )	april 10, 2004, june 15, 2004, july 6, 2004
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name order by speed asc limit 1	dominika maczka
[ header: rank \| athlete \| nationality \| time row 1 : None \| liliana barbulescu \| romania \| 2:00.06 row 2 : None \| anna zagorska \| poland \| 2:00.11 row 3 : None \| irina vashents \| russia \| 2:00.77 row 4 : 4 \| laura gerber \| switzerland \| 2:01.39 row 5 : 5 \| christiane dos sant \| brazil \| 2:01.53 row 6 : 6 \| tamara volkova \| ukraine \| 2:01.86 row 7 : 7 \| tatyana yegorova \| russia \| 2:02.64 row 8 : 8 \| sandra teixeira \| portugal \| 2:03.01 ] Execute this SQL based on the above table: select nationality where athlete = 'anna zagorska'	poland
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select country where gdp growth, 2007-2011 (in %) = '3.9'	benin
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) group by artist(s) order by count ( * ) desc limit 1	the band
[ header: club \| winners \| runner-ups \| winning years \| runner-up years row 1 : fk austria wien \| 6 \| 2 \| 1990, 1991, 1992, 1994, 2003, \| 1986, 1994 row 2 : sk rapid wien \| 4 \| 1 \| 1986, 1987, 1988, 2008 \| 1995, 1996 row 3 : sk sturm graz \| 3 \| 2 \| 1996, 1998, 1999 \| 1997, 2002 row 4 : sv austria salzburg \| 3 \| 0 \| 1994, 1995, 1997 \| None row 5 : grazer ak \| 2 \| 1 \| 2000, 2002 \| 2004 row 6 : vfb admira wacker modling \| 1 \| 1 \| 1989 \| 1992 row 7 : fc karnten \| 1 \| 1 \| 2001 \| 2003 row 8 : fc swarovski \| 0 \| 6 \| None \| 1987, 1989, 1990, 1993, 2000, row 9 : kremser sc \| 0 \| 1 \| None \| 1988 row 10 : sv stockerau \| 0 \| 1 \| None \| 1991 row 11 : sv ried \| 0 \| 1 \| None \| 1998 row 12 : lask linz \| 0 \| 1 \| None \| 1999 row 13 : sv horn \| 0 \| 1 \| None \| 2008 ] Execute this SQL based on the above table: select winners where winners = 0	0.0, 0.0, 0.0, 0.0, 0.0, 0.0
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select variants group by variants order by count ( * ) limit 1	normal and giant
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select total order by rank desc limit 1	1.0
[ header: episode \| airdate \| game 1 \| game 2 \| game 3 \| viewers row 1 : 1 \| 17 april 2010 \| 'twin peaks' \| 'a walk in the dark' \| 'lock and key' \| 4.52m row 2 : 2 \| 24 april 2010 \| 'caught in the net' \| 'stick 'em up' \| 'power trip' \| 4.41m row 3 : 3 \| 1 may 2010 \| 'knotting hills' \| 'it's a wrap!' \| 'lock and key' \| 4.31m row 4 : 4 \| 8 may 2010 \| 'caught in the net' \| 'a walk in the dark' \| 'power trip' \| 4.44m row 5 : 5 \| 15 may 2010 \| 'twin peaks' \| 'it's a wrap!' \| 'lock and key' \| 4.46m row 6 : 6 \| 22 may 2010 \| 'knotting hills' \| 'stick 'em up' \| 'power trip' \| under 2.61m row 7 : 7 \| 29 may 2010 \| 'caught in the net' \| 'a walk in the dark' \| 'lock and key' \| 4.68m row 8 : 8 \| 5 june 2010 \| 'knotting hills' \| 'stick 'em up' \| 'lock and key' \| 3.44m ] Execute this SQL based on the above table: select viewers where id = ( select id where viewers = 'under 2.61m' ) + 1	4.68m
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select entered service where entered service = ( select entered service where entered service = '10 feb 1955' ) + 1	11 mar 1954
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select formula where material = 'glasses'	silica with pb, al, &/or tl
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select licensee order by city of license desc limit 1	western slope communications
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( percentage ) where percentage = '36.93%'	1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select count ( * ) where opponent >= 2 * record	20
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select incumbent where id = ( select id where incumbent = 'joseph johnson' ) + 1	william mccoy
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select nation order by total limit 1	syria (syr)
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select team where team in ( 'gitanes automobiles ligier' , 'guy verrier' ) order by class limit 1	guy verrier
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select 2nd venue where 1st venue = 'sheffield'	mexico city
[ header: rank \| team \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| final row 1 : silver \| italy (ita) italy \| eugenio monti, \| 1:17.69 \| 1:17.97 \| 1:18.13 \| 1:18.31 \| 5:12.10 row 2 : bronze \| united states (usa) usa i \| arthur tyler, william \| 1:17.75 \| 1:17.87 \| 1:18.25 \| 1:18.52 \| 5:12.39 row 3 : 4 \| switzerland (sui) \| max angst, aby gar \| 1:17.41 \| 1:17.85 \| 1:18.68 \| 1:20.33 \| 5:14.27 row 4 : 7 \| austria (aut) austria i \| kurt loserth, wil \| 1:19.37 \| 1:19.12 \| 1:20.08 \| 1:19.72 \| 5:18.29 row 5 : 8 \| germany (ger) germany ii \| franz schelle, jako \| 1:19.03 \| 1:18.84 \| 1:19.31 \| 1:21.35 \| 5:18.50 row 6 : 9 \| spain (esp) spain \| alfonso de portago, \| 1:18.87 \| 1:19.27 \| 1:21.37 \| 1:19.08 \| 5:19.49 row 7 : 11 \| norway (nor) norway i \| arne røgden, ar \| 1:20.96 \| 1:20.08 \| 1:20.45 \| 1:20.01 \| 5:21.50 row 8 : 13 \| sweden (swe) s \| kjell holmstrom, \| 1:20.58 \| 1:20.32 \| 1:21.15 \| 1:21.13 \| 5:23.18 row 9 : 16 \| sweden (swe) s \| olle axelsson, \| 1:18.95 \| 1:19.98 \| 1:22.75 \| 1:21.86 \| 5:23.54 row 10 : 18 \| france (fra) france \| andre robin, pierre bouvier \| 1:20.00 \| 1:21.25 \| 1:20.95 \| 1:21.63 \| 5:23.83 row 11 : 21 \| poland (pol) poland \| aleksy konieczny \| None \| None \| None \| None \| 5:28.40 ] Execute this SQL based on the above table: select count ( * ) where rank = 7	1
[ 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 gap where driver = 'paul russo'	7.28
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select host order by rnd desc limit 1	providence college
[ header: season \| tier \| division \| place row 1 : 1949-87 \| 5 \| regional \| None row 2 : 1987/88 \| 5 \| pref. aut \| 10th row 3 : 1988/89 \| 5 \| pref. aut \| 5th row 4 : 1989/90 \| 5 \| pref. aut \| 13th row 5 : 1990/91 \| 5 \| pref. aut \| 11th row 6 : 1991/92 \| 5 \| pref. aut \| 7th row 7 : 1992/93 \| 5 \| pref. aut \| 9th row 8 : 1993/94 \| 5 \| pref. aut \| 4th row 9 : 1994/95 \| 5 \| pref. aut \| 6th row 10 : 1995/96 \| 5 \| pref. aut \| 3rd row 11 : 1996/97 \| 5 \| pref. aut \| 3rd row 12 : 1997/98 \| 5 \| pref. aut \| 1st row 13 : 1998/99 \| 4 \| 3a \| 17th row 14 : 1999/00 \| 5 \| pref. aut \| 6th ] Execute this SQL based on the above table: select ( select tier where place = '13th' ) - ( select sum ( tier ) where place != '13th' )	-54.0
[ header: official name \| designation \| area km2 \| population \| parish row 1 : moncton \| city \| 141.17 \| 69074 \| moncton row 2 : dieppe \| city \| 51.17 \| 23310 \| moncton row 3 : beaubassin east \| rural community \| 291.04 \| 6200 \| shediac row 4 : shediac \| town \| 11.97 \| 6053 \| shediac row 5 : sackville \| town \| 74.32 \| 5558 \| sackville row 6 : memramcook \| village \| 185.71 \| 4831 \| dorchester row 7 : cap-pele \| village \| 23.78 \| 2256 \| botsford row 8 : salisbury \| village \| 13.68 \| 2208 \| salisbury row 9 : petitcodiac \| village \| 17.22 \| 1429 \| salisbury row 10 : dorchester \| village \| 5.74 \| 1167 \| dorchester row 11 : port elgin \| village \| 2.61 \| 418 \| westmorland ] Execute this SQL based on the above table: select sum ( area km2 ) order by area km2 desc limit 10	818.4100000000001
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select count ( distinct v4 ) where v5 = '0%'	3
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where id = 34	physician and author
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select round where id = 1	competed as part of yugoslavia
[ header: year \| competition \| venue \| position \| notes row 1 : 1989 \| european indoor championships \| the hague, netherlands \| 10th \| None row 2 : 1989 \| world indoor championships \| budapest, hungary \| 9th \| None row 3 : 1991 \| world indoor championships \| lisbon, portugal \| 6th \| None row 4 : 1991 \| world championships \| tokyo, japan \| 5th \| 5.75 m nr row 5 : 1992 \| european indoor championships \| genoa, italy \| 5th \| None row 6 : 1993 \| world championships \| stuttgart, germany \| 11th \| None ] Execute this SQL based on the above table: select sum ( year ) where year > 1992	1993
[ header: location \| region \| coordinates (links to map & photo sources) \| population \| elevation row 1 : andahuaylas \| apurimac \| 13°39′20′′s 73° \| 17444 \| 3052 row 2 : barranca \| lima \| 10°45′00′′s 77° \| 46290 \| 64 row 3 : candarave \| tacna \| 17°16′04′′s 70°14 \| 3415 \| 3077 row 4 : checca \| cusco \| 14°28′22′′s 71° \| 3810 \| 3991 row 5 : chota \| cajamarca \| 6°33′s 78°39′ \| 14240 \| 2552 row 6 : independencia \| lima \| 11°59′24′′s 77° \| 3987 \| 390 row 7 : iquitos \| loreto \| 3°44′53′′s 73° \| 437620 \| 107 row 8 : junin \| junin \| 11°09′32′′s 75°59 \| 15320 \| 3999 row 9 : los aquijes \| ica \| 14°05′48′′s 75°41 \| 7848 \| 457 row 10 : mochumi \| lambayeque \| 6°32′49′′s 79° \| 7460 \| 151 row 11 : morrope \| lambayeque \| 6°32′30′′s 80°00 \| 6662 \| 116 row 12 : oyon \| lima \| 10°40′05′′s 76° \| 6276 \| 3553 row 13 : pangoa \| cusco \| 12°07′00′′s 73° \| 6638 \| 901 row 14 : pucallpa \| ucayali \| 8°22′45′′s 74° \| 310750 \| 158 row 15 : salaverry \| la libertad \| 8°14′00′′s 78° \| 10066 \| 70 row 16 : salinera colan \| piura \| 5°02′00′′s 81° \| 14210 \| 1 row 17 : san pedro de cachor \| apurimac \| 13°38′00′′s 72°53 \| None \| 2772 row 18 : sullana \| piura \| 4°54′14′′s 80°41 \| 160789 \| 67 row 19 : talara \| piura \| 4°34′38′′s 81° \| 99074 \| 14 ] Execute this SQL based on the above table: select coordinates (links to map & photo sources) where population < ( select population where coordinates (links to map & photo sources) = '11°09′32′′s 75°59′35′′w / 11.15889°s 75.99306°w' ) order by population desc limit 1	6°33′s 78°39′w / 6.55°s 78.65°w
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select company (country) order by 2007 rank desc limit 1	oshkosh corporation
[ header: track number \| russian title \| english title \| music \| lyrics row 1 : 1 \| улыбнись \| smile! \| vitas \| d. plachkovsky row 2 : 2 \| блаженныи гу \| blessed guru \| vitas \| vitas row 3 : 3 \| восковые фиг \| wax figures \| vitas \| d. plachkovsky, vita row 4 : 4 \| плачет чужа \| someone's melancholy is crying \| vitas \| d. plachovsky row 5 : 5 \| аве мария \| ave maria \| franz schubert \| traditional prayer row 6 : 6 \| холодныи мир \| the cold world \| v. molchanov \| d. plachkovsky row 7 : 7 \| остров затонув \| the island of sunken ships \| o. gazmanov \| e. nebylova row 8 : 8 \| фантастические \| fantastic dreams \| vitas \| vitas, d. plachkov row 9 : 9 \| good-bye \| good-bye \| vitas \| vitas row 10 : 10 \| счастье \| happiness \| vitas \| vitas row 11 : 11 \| отцвели хриз \| chrysanthemums have fade \| n. harito \| v. shumsky row 12 : 12 \| дождь в тб \| rain in tbilisi \| vitas \| ratner row 13 : 13 \| слепои худо \| blind painter \| vitas \| d. plachkovsky, vita row 14 : 14 \| милая музыка \| lovely music \| vitas \| vitas row 15 : 15 \| белоруссия \| byelorussia \| alexandra pakhmutova \| n. dobronravov row 16 : 16 \| до свидания \| see you later (do svidani \| vitas \| vitas ] Execute this SQL based on the above table: select music where english title = 'ave maria'	franz schubert
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select count ( party ) where to < 1011	0
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| yevgeny kulikov \| soviet union \| 39.17 \| or row 2 : None \| valery muratov \| soviet union \| 39.25 \| None row 3 : None \| dan immerfall \| united states \| 39.54 \| None row 4 : 4 \| mats wallberg \| sweden \| 39.56 \| None row 5 : 5 \| peter mueller \| united states \| 39.57 \| None row 6 : 6 \| jan bazen \| netherlands \| 39.78 \| None row 7 : 6 \| arnulf sunde \| norway \| 39.78 \| None row 8 : 8 \| andrey malikov \| soviet union \| 39.85 \| None row 9 : 9 \| oloph granath \| sweden \| 39.93 \| None row 10 : 10 \| jim chapin \| united states \| 40.09 \| None row 11 : 11 \| tom overend \| canada \| 40.22 \| None row 12 : 11 \| masaki suzuki \| japan \| 40.22 \| None row 13 : 13 \| johan granath \| sweden \| 40.25 \| None row 14 : 14 \| gaetan boucher \| canada \| 40.53 \| None row 15 : 15 \| pertti niittyla \| finland \| 40.65 \| None row 16 : 16 \| norio hirate \| japan \| 40.85 \| None row 17 : 16 \| archie marshall \| great britain \| 40.85 \| None row 18 : 18 \| mikio oyama \| japan \| 40.9 \| None row 19 : 19 \| hans van helden \| netherlands \| 40.91 \| None row 20 : 19 \| emmanuel michon \| france \| 40.91 \| None row 21 : 21 \| kay arne stenshj \| norway \| 40.94 \| None row 22 : 22 \| lee yeong-ha \| south korea \| 41.08 \| None row 23 : 23 \| bruno toniolli \| italy \| 41.44 \| None row 24 : 24 \| harald oehme \| east germany \| 41.54 \| None row 25 : 25 \| colin coates \| australia \| 41.77 \| None row 26 : 26 \| berend schabus \| austria \| 42.33 \| None row 27 : 27 \| heinz steinberger \| austria \| 43.28 \| None row 28 : 28 \| jan egil storholt \| norway \| 18 \| None row 29 : None \| horst freese \| west germany \| dnf \| None ] Execute this SQL based on the above table: select count ( country ) where country != 'japan' and time = ( select time where country = 'japan' )	1
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select count ( * ) where language = 10	0
[ header: country \| url \| opening date \| closing date row 1 : australia (links to habbo english due \| habbo.com.au \| november 2004 \| june 2, 2010 row 2 : austria (links to habbo \| habbo.at \| may 2006 \| None row 3 : belgium (links to habb \| habbo.be \| may 2006 \| None row 4 : brazil \| habbo.com.br habb \| february 2006 april 2012 \| None row 5 : canada (links to habbo english due \| habbo.ca \| june 2004 \| may 5, 2010 row 6 : chile (links to habbo \| habbo.cl \| july 2006 \| None row 7 : people's republic of china (closed/ \| habbo.cn \| july 2006 \| august 24, 2007 row 8 : colombia (links to habb \| habbo.com.co \| july 2006 \| None row 9 : denmark \| habbo.dk \| december 2004 \| None row 10 : ecuador (links to habb \| habbo.es \| None \| None row 11 : france \| habbo.fr \| november 2004 \| None row 12 : germany \| habbo.de \| march 2004 \| None row 13 : italy \| habbo.it \| september 2003 \| None row 14 : japan (links to english) \| habbo.jp \| february 2003 \| april 16, 2009 row 15 : netherlands \| habbo.nl \| february 2004 \| None row 16 : peru (links to habbo spa \| habbo.com.pe \| None \| None row 17 : english-language uk & ie \| habbo.com \| may 5, 2010 \| None row 18 : turkey \| habbo.com.tr \| august 2012 \| None row 19 : malaysia (links to habb \| habbo.com.my \| july 2006 \| None row 20 : netherlands \| habbo.nl \| february 2004 \| None row 21 : norway \| habbo.no \| june 2004 \| None row 22 : russia (used to link to the habb \| habbo.ru \| september 2007 \| february 6, 2009 row 23 : paraguay (links to habb \| habbo.es \| None \| None row 24 : spain \| habbo.es \| september 2003 \| None row 25 : sweden \| habbo.se \| december 2003 \| None row 26 : switzerland (links to hab \| habbo.ch \| august 2001 \| october 4, 2010 row 27 : united states (links to habbo english \| habbo.com \| september 2004 \| june 10, 2010 row 28 : uk & ireland (link \| habbo.co.uk habbo \| january 4, 2001 \| june 10, 2010 row 29 : poland (links to habbo \| habbo.com \| february 2011 \| january 2012 row 30 : panama (links to habbo \| habbo.es \| None \| None ] Execute this SQL based on the above table: select count ( * ) where closing date >= 2 * country	9
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select count ( venue ) where attendance = 43251	1
[ header: year \| title \| label \| uk singles chart \| u.s. billboard hot 100 chart row 1 : 1969 \| "melting pot" \| philips \| 3 \| None row 2 : 1970 \| "good morning freedom" \| philips \| 10 \| None row 3 : 1970 \| "our world" \| philips \| 17 \| 64 row 4 : 1971 \| "the banner man" \| regal zonophone \| 3 \| None row 5 : 1972 \| "stay with me" \| regal zonophone \| 11 \| None row 6 : 1973 \| "by the devil (i was tempted \| emi \| 26 \| None row 7 : 1973 \| "randy" \| emi \| 9 \| None ] Execute this SQL based on the above table: select title where title in ( '"good morning freedom"' , '"good morning freedom"' )	"good morning freedom"
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 5 \| 6 \| 5 \| 16 row 2 : 2 \| jamaica \| 4 \| 1 \| 1 \| 6 row 3 : 3 \| netherlands \| 2 \| 0 \| 0 \| 2 row 4 : 4 \| bahamas \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ukraine \| 1 \| 0 \| 1 \| 2 row 6 : 6 \| east germany \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| greece \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| soviet union \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| ivory coast \| 0 \| 2 \| 0 \| 2 row 10 : 9 \| united kingdom \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| belgium \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| bulgaria \| 0 \| 1 \| 0 \| 1 row 13 : 12 \| russia \| 0 \| 1 \| 0 \| 1 row 14 : 12 \| germany \| 0 \| 1 \| 0 \| 1 row 15 : 15 \| canada \| 0 \| 0 \| 2 \| 2 row 16 : 15 \| france \| 0 \| 0 \| 2 \| 2 row 17 : 17 \| belarus \| 0 \| 0 \| 1 \| 1 row 18 : 17 \| cuba \| 0 \| 0 \| 1 \| 1 row 19 : 17 \| gabon \| 0 \| 0 \| 1 \| 1 row 20 : 17 \| british virgin islands \| 0 \| 0 \| 1 \| 1 row 21 : total \| total \| 16 \| 16 \| 16 \| 48 ] Execute this SQL based on the above table: select count ( nation ) where rank = 0	0
[ header: name of place \| counties \| principal county \| lower zip code row 1 : campbell hall \| 1 \| orange county \| 10916 row 2 : canaan \| 1 \| columbia county \| 12029 row 3 : canajoharie \| 1 \| montgomery county \| None row 4 : canoe place \| 1 \| suffolk county \| 11946 row 5 : careys corners \| 1 \| oneida county \| None row 6 : carman \| 1 \| schenectady county \| 12303 row 7 : carpenters corners \| 1 \| fulton county \| None row 8 : cass \| 1 \| erie county \| 14206 row 9 : castle point \| 1 \| dutchess county \| 12511 row 10 : catfish corners \| 1 \| oswego county \| None row 11 : catskill (town) \| 1 \| greene county \| 12414 row 12 : cayuta \| 1 \| schuyler county \| 14824 row 13 : cedar hill \| 1 \| albany county \| 12158 row 14 : cedarville station \| 1 \| herkimer county \| None row 15 : central nyack \| 1 \| rockland county \| 10960 row 16 : chase lake \| 1 \| lewis county \| 13343 row 17 : chelsea \| 1 \| dutchess county \| 12512 row 18 : chemung \| 1 \| chemung county \| None row 19 : chili junction \| 1 \| monroe county \| None row 20 : chittenango springs \| 1 \| madison county \| None row 21 : churchville \| 1 \| monroe county \| 14428 row 22 : clarkson \| 1 \| monroe county \| 14430 row 23 : claverack \| 1 \| columbia county \| None row 24 : clifton heights \| 1 \| erie county \| 14085 row 25 : clinton county airport \| 1 \| clinton county \| None row 26 : coldbrook \| 1 \| erie county \| 14072 row 27 : colemans mills \| 1 \| oneida county \| 13492 row 28 : coleman station \| 1 \| dutchess county \| None row 29 : colonial acres \| 1 \| albany county \| 12077 row 30 : colonial acres \| 1 \| westchester county \| 10583 row 31 : columbus quarter \| 1 \| chenango county \| None row 32 : como \| 1 \| cayuga county \| None row 33 : congers \| 1 \| rockland county \| 10920 row 34 : connelly park \| 1 \| chautauqua county \| 14710 row 35 : conquest \| 1 \| cayuga county \| None row 36 : cooperstown junction \| 1 \| otsego county \| 12116 row 37 : craterclub \| 1 \| essex county \| 12936 row 38 : crescent beach \| 1 \| monroe county \| 14612 row 39 : crestwood \| 1 \| westchester county \| 10707 row 40 : crestwood \| 1 \| westchester county \| None row 41 : crittenden \| 1 \| erie county \| 14038 row 42 : croghan \| 1 \| lewis county \| 13327 row 43 : croghan \| 1 \| lewis county \| None ] Execute this SQL based on the above table: select min ( lower zip code ) where name of place = 'croghan'	13327.0
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select place where id = ( select id where place = '9th' ) + 1	2nd
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select single where single = '"beat of my heart"' and year > ( select year where single = '"cos za cos"' )	"beat of my heart"
[ header: ship \| built \| in service for cunard \| type \| tonnage \| notes row 1 : queen mary \| 1936 \| 1936-1967 \| express \| 80,750 grt \| blue riband, sold 1967, now row 2 : mauretania \| 1939 \| 1939-1965 \| express \| 37,750 grt \| scrapped 1965 row 3 : queen elizabeth \| 1940 \| 1946-1968 \| express \| 83,650 grt \| wwii troopship 1940-1945 row 4 : media \| 1947 \| 1947-1961 \| cargo liner \| 13,350 grt \| sold to cogedar line 1961, scrapped row 5 : parthia \| 1947 \| 1947-1961 \| cargo liner \| 13,350 grt \| sold to p&o 1961, re row 6 : caronia \| 1949 \| 1949-1968 \| cruise \| 34,200 grt \| sold 1968, wrecked 1974 row 7 : britannic \| 1929 \| 1950-1960 \| intermediate \| 26,943 grt \| built for white star line, scrapped 1960 row 8 : georgic \| 1932 \| 1950-1956 \| intermediate \| 27,759 grt \| built for white star line, scrapped 1956 row 9 : saxonia carmania \| 1954 \| 1954-1962 1962-1973 \| intermediate cruise \| 21,637 grt 21,370 grt \| sold to the black sea shipping company, sovie row 10 : ivernia franconia \| 1955 \| 1955-1963 1963-1973 \| intermediate cruise \| 21,800 grt \| sold to the far eastern shipping company, sovie row 11 : carinthia \| 1956 \| 1956-1968 \| intermediate \| 21,800 grt \| sold to sitmar line 1968, scrapped 2005 row 12 : sylvania \| 1957 \| 1957-1968 \| intermediate \| 21,800 grt \| sold to sitmar line 1968, scrapped 2004 row 13 : alaunia \| 1960 \| 1960-1969 \| cargo liner \| 7,004 grt \| sold to brocklebank line in 1969 row 14 : queen elizabeth 2 \| 1969 \| 1969-2008 \| express \| 70,300 grt \| sold 2008, laid up in port rashi row 15 : atlantic causeway \| 1969 \| 1970-1986 \| container ship \| 14,950 grt \| scrapped in 1986 row 16 : atlantic conveyor \| 1970 \| 1970-1982 \| container ship \| 14,946 grt \| sunk in falklands war 1982 ] Execute this SQL based on the above table: select type where built not null order by built desc limit 1	container ship
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia (rus) \| 3 \| 1 \| 1 \| 5 row 2 : 2 \| canada (can) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| germany (ger) \| 1 \| 3 \| 2 \| 6 row 4 : 4 \| france (fra) \| 0 \| 1 \| 2 \| 3 row 5 : 5 \| belarus (blr) \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| ukraine (ukr) \| 0 \| 0 \| 1 \| 1 row 7 : None \| total \| 6 \| 6 \| 6 \| 18 ] Execute this SQL based on the above table: select nation order by rank limit 37	total, russia (rus), canada (can), germany (ger), france (fra), belarus (blr), ukraine (ukr)
[ header: year \| english title \| japanese \| romanization \| type row 1 : 1991 \| (toppu! minipato ta \| 突風! ミニハト隊アイキャッチ・シャンクション \| toppu! minipato tai \| video row 2 : 1991 \| (redi hanta: kor \| レティハンター殺しのフレュート \| redi hanta: koro \| video row 3 : 1995 \| (daisan no gokudo \| 第三の極道 \| daisan no gokudo \| video row 4 : 1995 \| osaka tough guys \| なにわ遊侠伝 \| naniwa yukyo \| video row 5 : 1996 \| the way to fight \| 喧嘩の花道大阪最強伝説 \| kenka no hanamichi: \| video row 6 : 1997 \| full metal yakuza \| full metal 極道 \| full metal gokudo \| video row 7 : 1998 \| the bird people in china \| 中国の鳥人 \| chugoku no chojin \| film row 8 : 1998 \| blues harp \| blues harp \| None \| film row 9 : 1999 \| man, a natural girl \| 天然少女萬 \| tennen shojo man \| tv row 10 : 1999 \| ley lines \| 日本黒社会 \| nihon kuroshaka \| film row 11 : 1999 \| salaryman kintaro white collar worker \| サラリーマン金太郎 \| sarariiman kintaro \| film row 12 : 2000 \| the making of 'gemini' \| (unknown) \| tsukamoto shin' \| tv documentary row 13 : 2001 \| ichi the killer \| 殺し屋1 \| koroshiya 1 \| film row 14 : 2002 \| dead or alive: final \| dead or alive final \| None \| film row 15 : 2002 \| (onna kunishu ikk \| おんな国衆一揆 \| onna kunishu ikk \| (unknown) row 16 : 2003 \| koshonin \| 交渉人 \| koshonin \| tv row 17 : 2004 \| zebraman \| セフラーマン \| zeburaman \| film row 18 : 2006 \| big bang love, juvenile a 4.6 \| 46億年の恋 \| 46-okunen no koi \| film row 19 : 2006 \| imprint episode from masters of horror \| インフリント ~ほっけえ、きょうてえ~ \| inpurinto ~bokke ky \| tv episode row 20 : 2006 \| waru: kanketsu-hen \| None \| waru: kanketsu-hen \| video row 21 : 2009 \| crows zero 2 \| クロースzero 2 \| kurozu zero 2 \| film row 22 : 2011 \| hara-kiri: death of a \| 一命 \| ichimei \| film row 23 : 2012 \| ace attorney \| 逆転裁判 \| gyakuten saiban \| film row 24 : 2013 \| shield of straw \| 藁の楯 \| wara no tate \| film ] Execute this SQL based on the above table: select abs ( ( select year where type = 'film' ) - ( select year where type = 'video' ) )	7
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select count ( role ) where notes = 'None'	0
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| matt jackson \| 3 \| 25 \| 1386 row 2 : 1 \| nick jackson \| 3 \| 25 \| 1386 row 3 : 3 \| el generico \| 5 \| 12 \| 637 row 4 : 4 \| super dragon \| 6 \| 3 \| 609 row 5 : 5 \| scott lost \| 5 \| 14 \| 578 row 6 : 6 \| chris bosh \| 3 \| 11 \| 433 row 7 : 7 \| paul london \| 1 \| 5 \| 335 row 8 : 8 \| davey richards \| 3 \| 1 \| 324 row 9 : 9 \| kevin steen \| 3 \| 4 \| 315 row 10 : 10 \| player uno \| 1 \| 2 \| 232 row 11 : 10 \| stupefied \| 1 \| 2 \| 232 row 12 : 12 \| joey ryan \| 3 \| 3 \| 165 row 13 : 13 \| roderick strong \| 3 \| 1 \| 121 row 14 : 14 \| quicksilver \| 3 \| 2 \| 120 row 15 : 15 \| b-boy \| 3 \| 1 \| 84 row 16 : 16 \| pac \| 1 \| 1 \| 71 row 17 : 17 \| excalibur \| 1 \| 1 \| 63 row 18 : 18 \| human tornado \| 1 \| 1 \| 56 row 19 : 18 \| jimmy jacobs \| 1 \| 0 \| 56 row 20 : 18 \| tyler black \| 1 \| 0 \| 56 row 21 : 21 \| jack evans \| 1 \| 0 \| 49 row 22 : 22 \| homicide \| 1 \| 0 \| 28 row 23 : 23 \| scorpio sky \| 1 \| 0 \| 1 row 24 : 24 \| brian cage \| 1 \| 0 \| <1 row 25 : 24 \| michael elgin \| 1 \| 0 \| <1 ] Execute this SQL based on the above table: select wrestler where wrestler != 'scott lost' order by rank desc limit 1	brian cage
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select time (s) order by time (s) desc limit 1	7.183
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select count ( led the league in rebounding ) where def <= 1358 or blocks <= 1358	13
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select attendance where id = ( select id where attendance = 932 ) + 1	863
[ header: name \| club \| position \| years \| current status \| international caps row 1 : frank farina \| sydney fc \| fw \| 1982-83 \| coaching \| 67 row 2 : robbie hooker \| None \| df \| 1984-85 \| coaching \| 22 row 3 : jason polak \| None \| mf \| 1985-87 \| retired \| 28 row 4 : jason van blerk \| None \| mf \| 1986 \| coaching \| 33 row 5 : ned zelic \| None \| df \| 1988 \| media \| 34 row 6 : shaun murphy \| None \| df \| 1988 \| retired \| 27 row 7 : kevin muscat \| melbourne victory \| df \| 1990-91 \| coaching \| 51 row 8 : goran lozanovski \| None \| mf \| 1990-91 \| retired \| 9 row 9 : josip skoko \| None \| mf \| 1992-93 \| coaching \| 51 row 10 : mark viduka \| None \| fw \| 1992-93 \| retired \| 43 row 11 : lucas neill \| sydney fc \| df \| 1994-95 \| playing \| 89 row 12 : vince grella \| None \| mf \| 1996 \| retired \| 46 row 13 : simon colosimo \| melbourne heart \| df \| 1996-97 \| playing \| 26 row 14 : mile sterjovski \| central coast mariners \| mf \| 1996-98 \| playing \| 43 row 15 : ljubo milicevic \| free agent \| df \| 1997-98 \| playing \| 8 row 16 : luke wilkshire \| fc dynamo moscow \| mf \| 1997-98 \| playing \| 74 row 17 : jade north \| brisbane roar \| df \| 1999 \| playing \| 39 row 18 : nathan coe \| melbourne victory \| gk \| 2000-01 \| playing \| 3 row 19 : alex brosque \| al ain fc \| fw \| 2001 \| playing \| 7 row 20 : carl valeri \| sassuolo \| mf \| 2001-02 \| playing \| 50 row 21 : adam federici \| reading \| gk \| 2001-02 \| playing \| 8 row 22 : mark milligan \| melbourne victory \| df \| 2002 \| playing \| 19 row 23 : robbie kruse \| fortuna dusseldorf \| fw \| 2005-06 \| playing \| 21 row 24 : mitchell langerak \| borussia dortmund \| gk \| 2005-06 \| playing \| 0 row 25 : bruce djite \| adelaide united \| fw \| 2006 \| playing \| 9 row 26 : matthew spiranovic \| western sydney wanderers \| df \| 2006 \| playing \| 16 row 27 : nathan burns \| newcastle jets \| mf \| 2006 \| playing \| 7 row 28 : apostolos giannou \| platanias \| fw \| 2007 \| playing \| 0 row 29 : terry antonis \| sydney fc \| mf \| 2009 \| playing \| 0 row 30 : kerem bulut \| akhisar belediyespor \| fw \| 2009 \| playing \| 0 ] Execute this SQL based on the above table: select international caps order by international caps desc limit 1	89.0
[ header: district \| area size (km2) \| population \| density per km2 row 1 : yamato flat inland plain \| 837.27 \| 1,282 \| 1,531 row 2 : (share in %) \| 22.7% \| 89.7% \| None row 3 : yamato highland \| 506.89 \| 56 \| 110 row 4 : (share in %) \| 13.7% \| 3.9% \| None row 5 : gojo, yoshino \| 2,346.84 \| 92 \| 39 row 6 : (share in %) \| 63.6% \| 6.4% \| None row 7 : total prefecture \| 3,691.09 \| 1,430 \| 387 row 8 : (share in %) \| 100.0% \| 100.0% \| None ] Execute this SQL based on the above table: select area size (km2) where id = ( select id where area size (km2) = '837.27' ) + 1	22.7%
[ header: chord \| root \| major third \| perfect fifth \| minor seventh row 1 : c7 \| c \| e \| g \| b♭ row 2 : c♯7 \| c♯ \| e♯ (f) \| g♯ \| b row 3 : d♭7 \| d♭ \| f \| a♭ \| c♭ (b) row 4 : d7 \| d \| f♯ \| a \| c row 5 : d♯7 \| d♯ \| f (g) \| a♯ \| c♯ row 6 : e♭7 \| e♭ \| g \| b♭ \| d♭ row 7 : e7 \| e \| g♯ \| b \| d row 8 : f7 \| f \| a \| c \| e♭ row 9 : f♯7 \| f♯ \| a♯ \| c♯ \| e row 10 : g♭7 \| g♭ \| b♭ \| d♭ \| f♭ (e) row 11 : g7 \| g \| b \| d \| f row 12 : g♯7 \| g♯ \| b♯ (c) \| d♯ \| f♯ row 13 : a♭7 \| a♭ \| c \| e♭ \| g♭ row 14 : a7 \| a \| c♯ \| e \| g row 15 : a♯7 \| a♯ \| c (d) \| e♯ (f) \| g♯ row 16 : b♭7 \| b♭ \| d \| f \| a♭ row 17 : b7 \| b \| d♯ \| f♯ \| a ] Execute this SQL based on the above table: select count ( chord ) where perfect fifth < 287	0
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( * ) where winner = '#1 duke'	6
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| nigel mansell \| williams-renault \| 65 \| 1:56:10.674 \| 1 \| 10 row 2 : 2 \| 19 \| michael schumacher \| benetton-ford \| 65 \| + 23.914 \| 2 \| 6 row 3 : 3 \| 27 \| jean alesi \| ferrari \| 65 \| + 26.462 \| 8 \| 4 row 4 : 4 \| 2 \| gerhard berger \| mclaren-honda \| 65 \| + 1:20.647 \| 7 \| 3 row 5 : 5 \| 9 \| michele alboreto \| footwork-mugen-honda \| 64 \| + 1 lap \| 16 \| 2 row 6 : 6 \| 22 \| pierluigi martini \| dallara-ferrari \| 63 \| + 2 laps \| 13 \| 1 row 7 : 7 \| 10 \| aguri suzuki \| footwork-mugen-honda \| 63 \| + 2 laps \| 19 \| None row 8 : 8 \| 16 \| karl wendlinger \| march-ilmor \| 63 \| + 2 laps \| 9 \| None row 9 : 9 \| 1 \| ayrton senna \| mclaren-honda \| 62 \| spun off \| 3 \| None row 10 : 10 \| 28 \| ivan capelli \| ferrari \| 62 \| spun off \| 5 \| None row 11 : 11 \| 23 \| christian fittipaldi \| minardi-lamborghini \| 61 \| + 4 laps \| 22 \| None row 12 : 12 \| 17 \| paul belmondo \| march-ilmor \| 61 \| + 4 laps \| 23 \| None row 13 : ret \| 21 \| jj lehto \| dallara-ferrari \| 56 \| spun off \| 12 \| None row 14 : ret \| 15 \| gabriele tarquini \| fondmetal-ford \| 56 \| spun off \| 18 \| None row 15 : ret \| 11 \| mika hakkinen \| lotus-ford \| 56 \| spun off \| 21 \| None row 16 : ret \| 26 \| erik comas \| ligier-renault \| 55 \| spun off \| 10 \| None row 17 : ret \| 29 \| bertrand gachot \| larrousse-lamborghini \| 35 \| engine \| 24 \| None row 18 : ret \| 3 \| olivier grouillard \| tyrrell-ilmor \| 30 \| spun off \| 15 \| None row 19 : ret \| 24 \| gianni morbidelli \| minardi-lamborghini \| 26 \| handling \| 25 \| None row 20 : ret \| 33 \| mauricio gugelmin \| jordan-yamaha \| 24 \| spun off \| 17 \| None row 21 : ret \| 14 \| andrea chiesa \| fondmetal-ford \| 22 \| spun off \| 20 \| None row 22 : ret \| 6 \| riccardo patrese \| williams-renault \| 19 \| spun off \| 4 \| None row 23 : ret \| 12 \| johnny herbert \| lotus-ford \| 13 \| spun off \| 26 \| None row 24 : ret \| 25 \| thierry boutsen \| ligier-renault \| 11 \| engine \| 14 \| None row 25 : ret \| 20 \| martin brundle \| benetton-ford \| 4 \| spun off \| 6 \| None row 26 : ret \| 4 \| andrea de cesaris \| tyrrell-ilmor \| 2 \| engine \| 11 \| None row 27 : dnq \| 30 \| ukyo katayama \| larrousse-lamborghini \| None \| None \| None \| None row 28 : dnq \| 32 \| stefano modena \| jordan-yamaha \| None \| None \| None \| None row 29 : dnpq \| 34 \| roberto moreno \| moda-judd \| None \| None \| None \| None ] Execute this SQL based on the above table: select pos where constructor >= 'jordan-yamaha' and pos <= 'benetton-ford'	1, 4, 8, 9, 11, 12
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select bike where no = 57	ducati 999 f07
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select founded where founded in ( 1819 , 1819 ) group by founded order by count ( historical affiliation ) desc limit 1	1819
[ header: match \| date \| round \| home/away \| opponent team \| score \| scorers row 1 : 1 \| 17 september 2007 \| group stage \| home \| benfica \| 2-1 \| pirlo 9', inzaghi row 2 : 2 \| 3 october 2007 \| group stage \| away \| celtic \| 2-1 \| kaka 68' (pen.) row 3 : 3 \| 24 october 2007 \| group stage \| home \| shakhtar donetsk \| 4-1 \| gilardino 6', 14 row 4 : 4 \| 6 november 2007 \| group stage \| away \| shakhtar donetsk \| 0-3 \| inzaghi 66', 90+3 row 5 : 5 \| 28 november 2007 \| group stage \| away \| benfica \| 1-1 \| pirlo 15' row 6 : 6 \| 4 december 2007 \| group stage \| home \| celtic \| 1-0 \| inzaghi 70' row 7 : 7 \| 20 february 2008 \| round of 16 \| away \| arsenal \| 0-0 \| None row 8 : 8 \| 4 march 2008 \| round of 16 \| home \| arsenal \| 0-2 \| None ] Execute this SQL based on the above table: select count ( date ) where round = 'group stage'	6
[ header: name \| egot completed \| emmy \| grammy \| oscar \| tony row 1 : richard rodgers \| 1962 (17 years) \| 1962 \| 1960 \| 1945 \| 1950 row 2 : helen hayes \| 1977 (45 years) \| 1953 \| 1977 \| 1932 \| 1947 row 3 : rita moreno \| 1977 (16 years) \| 1977 \| 1972 \| 1961 \| 1975 row 4 : john gielgud \| 1991 (30 years) \| 1991 \| 1979 \| 1981 \| 1961 row 5 : audrey hepburn \| 1994 (41 years) \| 1993 \| 1994 \| 1953 \| 1954 row 6 : marvin hamlisch \| 1995 (23 years) \| 1995 \| 1974 \| 1973 \| 1976 row 7 : jonathan tunick \| 1997 (20 years) \| 1982 \| 1988 \| 1977 \| 1997 row 8 : mel brooks \| 2001 (34 years) \| 1967 \| 1998 \| 1968 \| 2001 row 9 : mike nichols \| 2001 (40 years) \| 2001 \| 1961 \| 1967 \| 1964 row 10 : whoopi goldberg \| 2002 (17 years) \| 2002 \| 1985 \| 1990 \| 2002 row 11 : scott rudin \| 2012 (28 years) \| 1984 \| 2012 \| 2007 \| 1994 row 12 : robert lopez \| 2014 (10 years) \| 2008 \| 2012 \| 2014 \| 2004 ] Execute this SQL based on the above table: select avg ( emmy ) where name in ( 'jonathan tunick' , 'richard rodgers' )	1972.0
[ 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 notes where id = ( select id where notes = 'episode: jeff daniels/color me badd' ) - 1	episode: "the fifth of july"
[ header: canal \| length (miles) \| locks \| max length (ft) \| width (ft) \| year opened \| year abandoned \| year restored row 1 : aberdeenshire canal \| 18 \| 18 \| None \| None \| 1805 \| 1854 \| None row 2 : buchan canal \| None \| None \| None \| None \| None \| None \| None row 3 : caledonian canal \| 62 \| 29 \| 150 \| 35 \| 1822 \| None \| None row 4 : crinan canal \| 9 \| 15 \| 86.75 \| 19.65 \| 1817 \| None \| None row 5 : dingwall canal \| 1.1 \| 0 \| None \| None \| 1816 \| 1840 \| None row 6 : forth and clyde canal \| 35 \| 38 \| 68.58 \| 19.75 \| 1790 \| 1963 \| 2002 row 7 : glasgow, paisley and \| 11 \| 0 \| None \| None \| 1811 \| 1881 \| None row 8 : monkland canal \| 12.25 \| 18 \| 71 \| 14 \| 1794 \| 1942 \| None row 9 : stevenston canal \| 2.25 \| 0 \| None \| 13 \| 1772 \| 1830 \| None row 10 : union canal \| 31.5 \| 3 \| 63 \| 12.5 \| 1822 \| 1930 \| 2000 ] Execute this SQL based on the above table: select count ( canal ) where canal not null	10
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select remarks where remarks in ( 'terminal of harbour aerial tramway' , 'None' ) order by height desc limit 1	terminal of harbour aerial tramway
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select margin - d(f) where jockey = 'fred archer'	-4.5, -8.5, -9.25
[ header: pick # \| nfl team \| player \| position \| college row 1 : 183 \| tampa bay buccaneers \| parnell dickinson \| quarterback \| mississippi valley state row 2 : 184 \| seattle seahawks \| dick dixon \| defensive tackle \| arkansas state row 3 : 185 \| miami dolphins \| joe ingersoll \| guard \| unlv row 4 : 186 \| dallas cowboys \| greg schaum \| defensive tackle \| michigan state row 5 : 187 \| cincinnati bengals \| bob bateman \| quarterback \| brown row 6 : 188 \| new york jets \| abdul salaam \| defensive end \| kent state row 7 : 189 \| cleveland browns \| steve cassidy \| defensive tackle \| louisiana state row 8 : 190 \| chicago bears \| jerry muckensturm \| linebacker \| arkansas state row 9 : 191 \| philadelphia eagles \| carl hairston \| defensive end \| maryland-eastern shore row 10 : 192 \| cincinnati bengals \| carmen rome \| defensive back \| miami (oh) row 11 : 193 \| atlanta falcons \| karl farmer \| wide receiver \| pittsburgh row 12 : 194 \| san francisco 49ers \| jay chesley \| defensive back \| vanderbilt row 13 : 195 \| buffalo bills \| jackie williams \| defensive back \| texas a&m row 14 : 196 \| kansas city chiefs \| rod wellington \| running back \| iowa row 15 : 197 \| houston oilers \| larry harris \| defensive tackle \| oklahoma state row 16 : 198 \| detroit lions \| garth ten napel \| linebacker \| texas a&m row 17 : 199 \| new york jets \| james richards \| running back \| florida row 18 : 200 \| miami dolphins \| john owens \| defensive end \| tennessee state row 19 : 201 \| new orleans saints \| ed bauer \| guard \| notre dame row 20 : 202 \| new england patriots \| perry brooks \| defensive tackle \| southern row 21 : 203 \| st. louis cardinals \| phil rogers \| running back \| virginia tech row 22 : 204 \| oakland raiders \| clarence chapman \| wide receiver \| eastern michigan row 23 : 205 \| cincinnati bengals \| ken kuhn \| linebacker \| ohio state row 24 : 206 \| minnesota vikings \| larry brune \| defensive back \| rice row 25 : 207 \| los angeles rams \| larry buie \| defensive back \| mississippi state row 26 : 208 \| dallas cowboys \| david williams \| running back \| colorado row 27 : 209 \| pittsburgh steelers \| barry burton \| tight end \| vanderbilt ] Execute this SQL based on the above table: select count ( distinct college )	24
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select sum ( construction year ) where type = 'chairlift'	6003
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select count ( distinct song )	8
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select date where film > ( select film where date = 'january 12, 2014' ) order by film asc limit 1	january 26, 2014
[ header: year \| title \| role \| notes row 1 : 1982 \| voyager from the unknown \| phineas bogg \| None row 2 : 1982-1983 \| voyagers! \| phineas bogg \| 20 episodes row 3 : 1983 \| making of a male model \| tyler burnett \| television movie row 4 : 1984 \| hotel \| prince erik \| episode: "tomorrows" row 5 : 1984 \| the bear \| pat trammell \| None row 6 : 1984 \| cover up \| mac harper \| 7 episodes ] Execute this SQL based on the above table: select year where id = 1	1982
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2002 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 2 : 2003 \| 4 \| usl pdl \| 1st, mid atlantic \| conference semifinals \| did not qualify row 3 : 2004 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 4 : 2005 \| 4 \| usl pdl \| 1st, mid atlantic \| national semifinals \| 2nd round row 5 : 2006 \| 4 \| usl pdl \| 5th, mid atlantic \| did not qualify \| did not qualify row 6 : 2007 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify row 7 : 2008 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( * ) where playoffs = 'did not qualify'	5
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select call sign order by frequency desc limit 1	ktmm

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: pos \| team \| total \| high \| low \| average \| change row 1 : 1 \| honda motor \| 13178 \| 3305 \| 402 \| 879 \| -11.9% row 2 : 2 \| sc tottori \| 12281 \| 2124 \| 401 \| 819 \| None row 3 : 3 \| ntt west kumamoto \| 10394 \| 1378 \| 324 \| 693 \| None row 4 : 4 \| ehime fc \| 9896 \| 1250 \| 348 \| 660 \| None row 5 : 5 \| tochigi sc \| 9723 \| 1141 \| 285 \| 648 \| -38.2% row 6 : 6 \| otsuka pharmaceuticals \| 8975 \| 2391 \| 284 \| 598 \| +18.4% row 7 : 7 \| ykk fc \| 8093 \| 2477 \| 198 \| 540 \| None row 8 : 8 \| sony sendai \| 7817 \| 886 \| 342 \| 521 \| -52.3% row 9 : 9 \| yokogawa fc \| 7334 \| 1198 \| 240 \| 489 \| -30.4% row 10 : 10 \| alo's hokuriku \| 6380 \| 1801 \| 180 \| 425 \| -12.1% row 11 : 11 \| jatco fc \| 6329 \| 1075 \| 167 \| 422 \| -36.7% row 12 : 12 \| sagawa express \| 5365 \| 1054 \| 48 \| 358 \| None row 13 : 13 \| denso sc \| 5344 \| 831 \| 119 \| 356 \| -17.7% row 14 : 14 \| kyoken kyoto \| 5262 \| 468 \| 203 \| 351 \| -9.0% row 15 : 15 \| shizuoka sangyo university \| 4013 \| 803 \| 101 \| 268 \| -48.8% row 16 : 16 \| kokushikan university \| 3298 \| 414 \| 54 \| 220 \| -28.3% row 17 : None \| league total \| 123682 \| 3305 \| 48 \| 515 \| -42.8% ] Execute this SQL based on the above table: select count ( * ) where team = 'kyoken kyoto'	1
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 5th, northwest \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, northwest \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 1st, northwest \| conference finals \| did not qualify row 4 : 2009 \| 4 \| usl pdl \| 7th, northwest \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 3rd, northwest \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 8th, northwest \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 1st, northwest \| semifinals \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 4th, northwest \| did not qualify \| 2nd round ] Execute this SQL based on the above table: select league where playoffs = 'did not qualify'	usl pdl, usl pdl, usl pdl, usl pdl, usl pdl
[ header: player \| played \| legs won \| legs lost \| lwat \| 100+ \| 140+ \| 180s \| high checkout \| 3-dart average row 1 : phil taylor \| 5 \| 74 \| 20 \| 34 \| 130 \| 77 \| 44 \| 144 \| 105.73 row 2 : raymond van barneveld \| 3 \| 35 \| 30 \| 9 \| 85 \| 43 \| 17 \| 126 \| 98.10 row 3 : gary anderson \| 2 \| 17 \| 19 \| 4 \| 42 \| 28 \| 10 \| 151 \| 97.98 row 4 : kevin painter \| 2 \| 13 \| 16 \| 5 \| 32 \| 18 \| 8 \| 130 \| 96.71 row 5 : mervyn king \| 4 \| 45 \| 38 \| 16 \| 112 \| 66 \| 18 \| 147 \| 96.30 row 6 : co stompe \| 1 \| 7 \| 10 \| 2 \| 26 \| 9 \| 4 \| 127 \| 95.84 row 7 : james wade \| 3 \| 33 \| 26 \| 10 \| 75 \| 47 \| 12 \| 153 \| 95.73 row 8 : andy smith \| 1 \| 5 \| 10 \| 1 \| 19 \| 15 \| 1 \| 112 \| 95.29 row 9 : terry jenkins \| 5 \| 61 \| 58 \| 20 \| 157 \| 80 \| 26 \| 131 \| 94.08 row 10 : adrian lewis \| 3 \| 26 \| 28 \| 13 \| 63 \| 40 \| 13 \| 156 \| 93.69 row 11 : ronnie baxter \| 4 \| 54 \| 49 \| 18 \| 142 \| 49 \| 19 \| 132 \| 93.35 row 12 : alan tabern \| 2 \| 24 \| 21 \| 8 \| 66 \| 32 \| 7 \| 157 \| 92.68 row 13 : steve beaton \| 2 \| 18 \| 20 \| 8 \| 52 \| 23 \| 5 \| 110 \| 92.58 row 14 : vincent van der voort \| 3 \| 29 \| 28 \| 9 \| 71 \| 42 \| 13 \| 131 \| 92.57 row 15 : jelle klaasen \| 1 \| 8 \| 10 \| 2 \| 24 \| 4 \| 4 \| 71 \| 92.19 row 16 : mark walsh \| 2 \| 21 \| 18 \| 9 \| 49 \| 26 \| 9 \| 121 \| 92.02 row 17 : wes newton \| 1 \| 3 \| 10 \| 1 \| 16 \| 3 \| 5 \| 96 \| 91.92 row 18 : michael van gerwen \| 1 \| 3 \| 10 \| 0 \| 14 \| 6 \| 1 \| 126 \| 91.26 row 19 : andy hamilton \| 1 \| 6 \| 10 \| 2 \| 21 \| 7 \| 4 \| 120 \| 91.18 row 20 : denis ovens \| 2 \| 22 \| 19 \| 12 \| 64 \| 32 \| 5 \| 125 \| 90.63 row 21 : wayne jones \| 1 \| 7 \| 10 \| 4 \| 26 \| 12 \| 4 \| 121 \| 90.06 row 22 : peter wright \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 2 \| 96 \| 89.39 row 23 : colin osborne \| 1 \| 7 \| 10 \| 4 \| 18 \| 13 \| 2 \| 116 \| 89.18 row 24 : dennis priestley \| 1 \| 5 \| 10 \| 3 \| 22 \| 13 \| 2 \| 84 \| 89.06 row 25 : robert thornton \| 1 \| 4 \| 10 \| 1 \| 17 \| 9 \| 3 \| 56 \| 88.88 row 26 : mark dudbridge \| 1 \| 7 \| 10 \| 5 \| 17 \| 10 \| 3 \| 109 \| 88.28 row 27 : wayne mardle \| 2 \| 16 \| 14 \| 6 \| 36 \| 22 \| 4 \| 115 \| 87.27 row 28 : jamie caven \| 1 \| 3 \| 10 \| 0 \| 13 \| 6 \| 2 \| 120 \| 86.95 row 29 : john part \| 1 \| 6 \| 10 \| 2 \| 19 \| 5 \| 4 \| 76 \| 86.62 ] Execute this SQL based on the above table: select player order by played asc limit 1	co stompe
[ header: year \| album \| label \| peak chart positions us \| peak chart positions us r&b row 1 : 1969 \| gimme shelter \| ode \| None \| None row 2 : 1971 \| celebration \| ode \| None \| None row 3 : 1971 \| merry clayton \| ode \| 180 \| 36 row 4 : 1975 \| keep your eye on the sparrow \| ode \| 146 \| 50 row 5 : 1979 \| emotion \| fontana \| None \| None row 6 : 1994 \| miracles \| a&m \| None \| None ] Execute this SQL based on the above table: select album where year >= 1971 and year <= 1994 group by album order by count ( * ) desc limit 1	miracles
[ header: pos \| no \| rider \| manufacturer \| laps \| time \| grid \| points row 1 : 1 \| 46 \| valentino rossi \| yamaha \| 21 \| 43:06.007 \| 2 \| 25 row 2 : 2 \| 2 \| dani pedrosa \| honda \| 21 \| 4.008 \| 1 \| 20 row 3 : 3 \| 4 \| andrea dovizioso \| honda \| 21 \| 8.536 \| 6 \| 16 row 4 : 4 \| 69 \| nicky hayden \| honda \| 21 \| 8.858 \| 4 \| 13 row 5 : 5 \| 56 \| shinya nakano \| honda \| 21 \| 10.583 \| 15 \| 11 row 6 : 6 \| 1 \| casey stoner \| ducati \| 21 \| 13.64 \| 7 \| 10 row 7 : 7 \| 65 \| loris capirossi \| suzuki \| 21 \| 15.936 \| 8 \| 9 row 8 : 8 \| 5 \| colin edwards \| yamaha \| 21 \| 18.802 \| 5 \| 8 row 9 : 9 \| 7 \| chris vermeulen \| suzuki \| 21 \| 23.174 \| 11 \| 7 row 10 : 10 \| 14 \| randy de puniet \| honda \| 21 \| 25.516 \| 9 \| 6 row 11 : 11 \| 21 \| john hopkins \| kawasaki \| 21 \| 27.609 \| 10 \| 5 row 12 : 12 \| 13 \| anthony west \| kawasaki \| 21 \| 41.399 \| 13 \| 4 row 13 : 13 \| 50 \| sylvain guintoli \| ducati \| 21 \| 45.617 \| 16 \| 3 row 14 : 14 \| 15 \| alex de angelis \| honda \| 21 \| 49.003 \| 17 \| 2 row 15 : 15 \| 24 \| toni elias \| ducati \| 21 \| 59.139 \| 19 \| 1 row 16 : 16 \| 33 \| marco melandri \| ducati \| 21 \| +1:03.328 \| 14 \| None row 17 : 17 \| 9 \| nobuatsu aoki \| suzuki \| 21 \| +1:48.363 \| 18 \| None row 18 : ret \| 48 \| jorge lorenzo \| yamaha \| 12 \| accident \| 3 \| None row 19 : ret \| 52 \| james toseland \| yamaha \| 2 \| accident \| 12 \| None ] Execute this SQL based on the above table: select manufacturer group by manufacturer order by count ( * ) desc limit 1	honda
[ header: rd \| pick \| player \| position \| school row 1 : 1 \| 1 \| chuck bednarik (lottery bonus \| center \| pennsylvania row 2 : 1 \| 9 \| frank tripucka \| quarterback \| notre dame row 3 : 2 \| 19 \| frank burns \| back \| rutgers row 4 : 3 \| 29 \| frank ziegler \| back \| georgia tech row 5 : 4 \| 41 \| don panciera \| back \| san francisco row 6 : 5 \| 51 \| terry brennan \| back \| notre dame row 7 : 6 \| 58 \| warren huey \| end \| michigan state row 8 : 7 \| 71 \| frank gillespie \| guard \| clemson row 9 : 8 \| 81 \| bob dean \| back \| cornell row 10 : 9 \| 91 \| jonathan jenkins \| tackle \| dartmouth row 11 : 10 \| 101 \| roy lester \| end \| west virginia row 12 : 11 \| 111 \| bobby wilson \| back \| mississippi row 13 : 12 \| 121 \| dale armstrong \| end \| dartmouth row 14 : 13 \| 131 \| lyle button \| tackle \| illinois row 15 : 14 \| 141 \| bobby lund \| back \| tennessee row 16 : 15 \| 151 \| carl copp \| tackle \| vanderbilt row 17 : 16 \| 161 \| frank reno \| end \| west virginia row 18 : 17 \| 171 \| leo skladany \| end \| pittsburgh row 19 : 18 \| 181 \| russ strait \| back \| muhlenberg row 20 : 19 \| 191 \| paul odom \| guard \| rollins row 21 : 20 \| 201 \| lloyd brinkman \| back \| missouri row 22 : 21 \| 211 \| lou futrell \| back \| usc row 23 : 22 \| 221 \| harvey kingry \| back \| colorado mines row 24 : 23 \| 231 \| hank kalver \| tackle \| oklahoma city row 25 : 24 \| 241 \| fred leon \| tackle \| nevada-reno row 26 : 25 \| 251 \| john "bull" schweder \| guard \| pennsylvania ] Execute this SQL based on the above table: select ( select pick where player = 'roy lester' ) - ( select pick where player = 'dale armstrong' )	-20.0
[ header: conference \| date \| place \| attendance \| archive of presentations row 1 : wikimania 2005 \| august 5-7 \| frankfurt, germany \| 380 \| slides, video row 2 : wikimania 2006 \| august 4-6 \| cambridge, united states \| 400 \| slides and papers, video row 3 : wikimania 2007 \| august 3-5 \| taipei, roc ( \| 440 \| commons gallery row 4 : wikimania 2008 \| july 17-19 \| alexandria, eg \| 650 \| abstracts, slides,video row 5 : wikimania 2009 \| august 26-28 \| buenos aires, argentina \| 559 \| slides, video row 6 : wikimania 2010 \| july 9-11 \| gdansk, poland \| about 500 \| slides row 7 : wikimania 2011 \| august 4-7 \| haifa, israel \| 720 \| presentations, video row 8 : wikimania 2012 \| july 12-15 \| washington, d.c., united \| 1400 \| presentations, videos row 9 : wikimania 2013 \| august 7-11 \| hong kong \| 700 \| presentations, videos row 10 : wikimania 2014 \| august 6-10 \| london, united kingdom \| None \| None ] Execute this SQL based on the above table: select conference order by attendance desc limit 1	wikimania 2012
[ header: week \| date \| opponent \| result \| game site \| attendance \| bye row 1 : 1 \| september 3, 1995 \| at miami dolphins \| l 52-14 \| joe robbie stadium \| 71317 \| 0 row 2 : 2 \| september 10, 1995 \| indianapolis colts \| l 27-24 (ot) \| the meadowlands \| 65134 \| 0 row 3 : 3 \| september 17, 1995 \| jacksonville jaguars \| w 27-10 \| the meadowlands \| 49970 \| 0 row 4 : 4 \| september 24, 1995 \| at atlanta falcons \| l 13-3 \| georgia dome \| 40778 \| 0 row 5 : 5 \| october 1, 1995 \| oakland raiders \| l 47-10 \| the meadowlands \| 68941 \| 0 row 6 : 6 \| october 8, 1995 \| at buffalo bills \| l 29-10 \| rich stadium \| 79485 \| 0 row 7 : 7 \| october 15, 1995 \| at carolina panthers \| l 26-15 \| memorial stadium \| 52613 \| 0 row 8 : 8 \| october 22, 1995 \| miami dolphins \| w 17-16 \| the meadowlands \| 67228 \| 0 row 9 : 9 \| october 29, 1995 \| at indianapolis colts \| l 17-10 \| rca dome \| 49250 \| 0 row 10 : 10 \| november 5, 1995 \| new england patriots \| l 20-7 \| the meadowlands \| 61462 \| 0 row 11 : 11 \| None \| None \| None \| None \| None \| 1 row 12 : 12 \| november 19, 1995 \| buffalo bills \| l 28-26 \| the meadowlands \| 54436 \| 0 row 13 : 13 \| november 26, 1995 \| at seattle seahawks \| w 16-10 \| kingdome \| 41160 \| 0 row 14 : 14 \| december 3, 1995 \| st. louis rams \| l 23-20 \| the meadowlands \| 52023 \| 0 row 15 : 15 \| december 10, 1995 \| at new england patriots \| l 31-28 \| foxboro stadium \| 46617 \| 0 row 16 : 16 \| december 17, 1995 \| at houston oilers \| l 23-6 \| astrodome \| 35873 \| 0 row 17 : 17 \| december 24, 1995 \| new orleans saints \| l 12-0 \| the meadowlands \| 28885 \| 0 ] Execute this SQL based on the above table: select game site where id = ( select id where game site = 'astrodome' ) + 1	the meadowlands
[ header: year \| award \| group \| result \| notes row 1 : 2004 \| black reel awards \| best actor: drama \| nominated \| the human stain (film) row 2 : 2004 \| black reel awards \| best breakthrough performance \| nominated \| the human stain (film) row 3 : 2006 \| academy of science fiction, fantasy & horror films \| best actor on television \| nominated \| prison break row 4 : 2006 \| teen choice awards \| tv - choice actor \| nominated \| prison break row 5 : 2006 \| teen choice awards \| tv - choice breakout star \| nominated \| prison break row 6 : 2006 \| golden globes awards \| best performance by an actor in a television series \| nominated \| prison break row 7 : 2007 \| teen choice awards \| choice tv actor: drama \| nominated \| prison break row 8 : 2008 \| teen choice awards \| choice tv actor: action adventure \| nominated \| prison break row 9 : 2014 \| fangoria chainsaw awards \| best screenplay \| pending \| stoker (film) ] Execute this SQL based on the above table: select year where id = ( select id where year = 2006 ) - 1	2004
[ header: # \| name (birth-death) \| took office \| left office \| monarch \| prime minister row 1 : 1 \| the viscount gladstone (1854-1930) \| 31 may 1910 \| 8 september 1914 \| george v \| botha row 2 : 2 \| the viscount buxton (1853-1934) \| 8 september 1914 \| 17 november 1920 \| george v \| botha row 3 : 3 \| hrh prince arthur of conn \| 17 november 1920 \| 21 january 1924 \| george v \| smuts row 4 : 4 \| the earl of athlone (1874 \| 21 january 1924 \| 26 january 1931 \| george v \| smuts row 5 : 5 \| the earl of clarendon (1877 \| 26 january 1931 \| 5 april 1937 \| george v \| hertzog row 6 : 6 \| sir patrick duncan (1870-19 \| 5 april 1937 \| 17 july 1943 \| george vi \| hertzog row 7 : 6 \| nicolaas jacobus de \| 17 july 1943 \| 1 january 1946 \| george vi \| smuts row 8 : 7 \| gideon brand van zyl (18 \| 1 january 1946 \| 1 january 1951 \| george vi \| smuts row 9 : 8 \| ernest george jans \| 1 january 1951 \| 25 november 1959 \| george vi \| malan row 10 : 8 \| lucas cornelius stey \| 26 november 1959 \| 11 december 1959 \| elizabeth ii \| verwoerd row 11 : 9 \| charles robberts swar \| 11 december 1959 \| 30 april 1961 \| elizabeth ii \| verwoerd row 12 : 9 \| lucas cornelius stey \| 30 april 1961 \| 31 may 1961 \| elizabeth ii \| verwoerd ] Execute this SQL based on the above table: select ( select id where took office = '17 july 1943' ) - ( select id where took office = '26 november 1959' ) - 1	-4
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select count ( * )	20
[ header: town/village \| population \| postal code \| municipality \| island \| location row 1 : dalur \| 48 \| fo 235 \| husavikar \| sandoy \| 61°46′56′′n 6° row 2 : depil \| 2 \| fo 735 \| hvannasunds \| borðoy \| 62°17′10′′n 6° row 3 : famjin \| 113 \| fo 870 \| famjins \| suðuroy \| 61°31′35′′n 6° row 4 : funningur \| 83 \| fo 475 \| funnings \| eysturoy \| 62°17′17′′n 6° row 5 : gøtugjogv \| 53 \| fo 511 \| gøtu \| eysturoy \| 62°11′25′′n 6° row 6 : haldarsvik \| 164 \| fo 440 \| sunda \| streymoy \| 62°16′37′′n 7° row 7 : hellur \| 26 \| fo 695 \| fuglafjarðar \| eysturoy \| 62°15′49′′n 6° row 8 : klaksvik \| 4681 \| fo 700 \| klaksvikar \| borðoy \| 62°13′26′′n 6° row 9 : lambi \| 142 \| fo 627 \| runavikar \| eysturoy \| 62°8′33′′n 6° row 10 : miðvagur \| 1032 \| fo 370 \| miðvags \| vagar \| 62°3′4′′n 7° row 11 : nes, vagur \| 30 \| fo 925 \| vags \| suðuroy \| 61°28′20′′n 6° row 12 : saltnes \| 153 \| fo 656 \| nes \| eysturoy \| 62°6′19′′n 6° row 13 : sandur \| 596 \| fo 210 \| sands \| sandoy \| 61°50′10′′n 6° row 14 : selatrað \| 63 \| fo 497 \| sjovar \| eysturoy \| 62°9′31′′n 6° row 15 : skalabotnur \| 100 \| fo 485 \| runavikar \| eysturoy \| 62°11′52′′n 6° row 16 : strendur \| 817 \| fo 490 \| sjovar \| eysturoy \| 62°6′46′′n 6° ] Execute this SQL based on the above table: select count ( * ) where town/village = 'skalabotnur'	1
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select count ( pos ) where constructor = 'ferrari'	2
[ header: represent \| contestant \| age \| height \| hometown row 1 : alta verapaz \| casetie lily dubo \| 23 \| 1.74 m (5 ft 8 1 \| copan row 2 : chimaltenango \| wendy karina albizures \| 19 \| 1.83 m (6 ft 0 \| chimaltenango row 3 : ciudad capital \| rita elizabeth med \| 19 \| 1.77 m (5 ft 9 1 \| ciudad guatemala row 4 : guatemala \| ana maribel arana r \| 22 \| 1.79 m (5 ft 10 1 \| villa nueva row 5 : izabal \| jessica jazmin donabo \| 18 \| 1.75 m (5 ft 9 in \| puerto barrios row 6 : jalapa \| luz yohana \| 20 \| 1.76 m (5 ft 9 1 \| jalapa row 7 : quetzaltenango \| clara jennifer chiong \| 24 \| 1.81 m (5 ft 11 1 \| quetzaltenango ] Execute this SQL based on the above table: select age where id = ( select id where age = 19 ) + 1	19.0
[ header: year \| title \| catalog row 1 : 1937 \| everybody sing \| decca 1332 row 2 : 1939 \| over the rainbow / the jitterbug \| decca 2672 row 3 : 1939 \| in between / sweet sixteen \| decca 15045 row 4 : 1940 \| friendship (w. johnny mer \| decca 3165 row 5 : 1940 \| it's a great day for the \| decca 3604 row 6 : 1941 \| how about you? / f.d \| decca 4072 row 7 : 1941 \| poor you / last call for love \| decca 18320 row 8 : 1942 \| for me and my gal / when you \| decca 18480 row 9 : 1942 \| i never knew / on the sunny side \| decca 18524 row 10 : 1942 \| that old black magic / poor little rich girl \| decca 18540 row 11 : 1943 \| could you use me? ( w. mic \| decca 23303 row 12 : 1944 \| the trolley song / boys and girls like you \| decca 23361 row 13 : 1944 \| have yourself a merry little christmas \| decca 23362 row 14 : 1945/1944 \| yah-ta-ta, \| decca 23410 row 15 : 1945/1944 \| connecticut / mine (w. \| decca 23804 row 16 : 1945 \| on the atchison, topeka and \| decca 23436 row 17 : 1944/1945 \| have yourself a merry little christmas \| decca 9-29295 row 18 : 1945 \| this heart of mine / love \| decca 18660 row 19 : 1945 \| on the atchison, topeka and \| decca 23438 row 20 : 1946 \| for you, for me, forevermore / \| decca 23687 row 21 : 1946 \| there is no breeze / don't tell \| decca 23746 row 22 : 1947 \| i wish i were in love again \| decca 24469 row 23 : 1947 \| look for the silver lining \| mgm 30002 row 24 : 1948 \| mack the black \| mgm 30099 row 25 : 1948 \| easter parade (w. fred as \| mgm 30185 row 26 : 1948 \| better luck next time \| mgm 30187 row 27 : 1950 \| friendly star / get happy \| mgm 30254 row 28 : 1956/1955 \| maybe i'll come back / over \| capitol 6128 row 29 : 1961 \| san francisco / chica \| capitol 6125 row 30 : 1965 \| hello, dolly! / he' \| capitol 5497 ] Execute this SQL based on the above table: select ( select title where title = 'for me and my gal / when you wore a tulip (w. gene kelly)' ) > 415	1
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select abs ( ( select 31 mar where div sec division = 'jaffna' ) - ( select 31 mar where div sec division = 'thampalakamam' ) )	105.0
[ header: location \| frequency \| call sign \| network \| call sign meaning row 1 : beach \| 91.9 \| k220fi (kdp \| news and classical \| None row 2 : bismarck \| 90.5 \| kcnd \| news and classical \| capital of north dakota row 3 : bowman \| 91.9 \| k220fj (kdp \| news and classical \| None row 4 : crosby \| 91.9 \| k220ff (kppw \| news and classical \| None row 5 : devils lake \| 91.7 \| kppd \| news and classical \| prairie public radio devils lake row 6 : dickinson \| 89.9 \| kdpr \| news and classical \| dickinson public radio row 7 : fargo \| 91.9 \| kdsu \| mixed news and classical & roots, rock, \| north dakota state university row 8 : grand forks \| 89.3 \| kund-fm \| news and classical \| university of north dakota row 9 : grand forks \| 90.7 \| kfjm \| roots, rock, and jazz \| folk and jazz music row 10 : jamestown \| 91.5 \| kprj \| news and classical \| public radio jamestown row 11 : hettinger \| 91.9 \| k220fg (kdp \| news and classical \| None row 12 : lisbon \| 98.3 \| k252ez (kdsu \| mixed news and classical & roots, rock, \| None row 13 : minot \| 88.9 \| kmpr \| news and classical \| minot public radio row 14 : plentywood, mt \| 91.9 \| k220fe (kppw \| news and classical \| None row 15 : thief river falls, mn \| 88.3 \| k202bk (kund-f \| news and classical \| None row 16 : tioga \| 91.9 \| k220fh (kppw \| news and classical \| None row 17 : wahpeton \| 94.7 \| k234bx (kds \| mixed news and classical & roots, rock, \| None row 18 : williston \| 89.5 \| kppr \| roots, rock, and jazz \| prairie public radio row 19 : williston \| 88.7 \| kppw \| news and classical \| prairie public williston ] Execute this SQL based on the above table: select sum ( frequency ) where frequency in ( '94.7' , '91.9' , '91.9' )	738.0
[ header: no. \| name \| position \| date of birth (age) \| signed from \| notes row 1 : 1 \| leonardo burian \| gk \| january 21, 1984 (age 30) \| bella vista \| first team goalkeeper row 2 : 4 \| christian nunez \| df \| september 24, 1982 (age 31) \| cerro \| None row 3 : 5 \| santiago romero \| mf \| february 15, 1990 (age 24) \| the academy \| reserve team player row 4 : 6 \| alexis rolin \| df \| march 2, 1989 (age 25) \| the academy \| None row 5 : 7 \| rafael garcia \| mf \| january 6, 1989 (age 25) \| rampla juniors \| None row 6 : 10 \| tabare viudez \| fw \| september 8, 1989 (age 24) \| necaxa \| None row 7 : 14 \| diego placente \| df \| april 24, 1977 (age 37) \| san lorenzo \| None row 8 : 16 \| mathias abero \| df \| april 9, 1990 (age 24) \| racing \| None row 9 : 17 \| maximiliano calzada \| mf \| april 21, 1990 (age 24) \| the academy \| None row 10 : 19 \| andres scotti \| df \| december 14, 1975 (age 38) \| colo-colo \| in on 3 january 2012 row 11 : 21 \| matias vecino \| mf \| august 24, 1991 (age 22) \| central espanol \| None row 12 : 23 \| facundo piriz \| mf \| march 27, 1990 (age 24) \| the academy \| None row 13 : 24 \| marcos aguirre \| mf \| march 30, 1984 (age 30) \| san martin (san \| in on 12 january 2012 row 14 : 25 \| jorge bava \| gk \| january 22, 1982 (age 32) \| cerro \| in on 13 january 2012 row 15 : None \| diego barboza \| df \| january 9, 1991 (age 23) \| the academy \| reserve team player row 16 : None \| sebastian coates \| df \| october 7, 1990 (age 23 \| the academy \| out on 26 august 2011 row 17 : None \| gabriel marques \| df \| march 31, 1983 (age 31) \| river plate \| out on 29 december 2011 row 18 : None \| gonzalo godoy \| df \| january 17, 1988 (age 26) \| cerro \| out on 5 january 2012 row 19 : None \| sebastian gorga \| df \| april 6, 1994 (age 20) \| the academy \| reserve team player row 20 : None \| maximiliano moreira \| df \| june 11, 1994 (age 20) \| the academy \| reserve team player row 21 : None \| agustin tabarez \| df \| october 15, 1994 (age 19 \| the academy \| reserve team player row 22 : None \| damian eroza \| mf \| march 22, 1993 (age 21) \| the academy \| reserve team player row 23 : None \| gaston pereiro \| mf \| june 11, 1995 (age 19) \| the academy \| reserve team player row 24 : None \| gonzalo vega \| mf \| june 29, 1992 (age 21) \| the academy \| reserve team player row 25 : None \| leandro barcia \| fw \| october 8, 1993 (age 20 \| the academy \| reserve team player row 26 : None \| lucas cavallini \| fw \| december 28, 1992 (age 21) \| the academy \| reserve team player row 27 : None \| renato cesar \| fw \| april 8, 1993 (age 20) \| the academy \| None ] Execute this SQL based on the above table: select count ( * ) where position = 640	0
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select home ground where home ground != 'mackay junior rugby league ground' and last year in qld cup = ( select last year in qld cup where home ground = 'mackay junior rugby league ground' )	quad park
[ header: year \| competition \| venue \| position \| notes row 1 : 2005 \| european u23 championships \| erfurt, germany \| 7th \| 72.81 m row 2 : 2008 \| olympic games \| beijing, china \| 8th \| 82.06 m (=pb row 3 : 2009 \| universiade \| belgrade, serbia \| 5th \| 78.29 m row 4 : 2010 \| european championships \| barcelona, spain \| 14th (q) \| 76.29 m row 5 : 2012 \| olympic games \| london, united kingdom \| 15th (q) \| 80.06 m row 6 : 2013 \| world championships \| moscow, russia \| 32nd (q) \| 72.66 m ] Execute this SQL based on the above table: select competition where year = 2010 - 1	universiade
[ header: country \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 row 1 : australia \| 160 \| 230 \| 290 \| 230 \| 200 \| 200 \| 200 \| None \| None \| None \| None \| None row 2 : brazil \| 30000 \| 22000 \| 26000 \| 29000 \| 29900 \| 35000 \| 40000 \| 57300 \| 58000 \| 58000 \| 58000 \| 58000 row 3 : canada \| 2290 \| 3200 \| 3410 \| 3280 \| 3400 \| 3310 \| 4167 \| 3020 \| 4380 \| 4330 \| 4420 \| 4400 row 4 : congo d.r \| None \| 50 \| 50 \| 13 \| 52 \| 25 \| None \| None \| None \| None \| None \| None row 5 : mozambique \| None \| None \| 5 \| 34 \| 130 \| 34 \| 29 \| None \| None \| None \| None \| None row 6 : nigeria \| 35 \| 30 \| 30 \| 190 \| 170 \| 40 \| 35 \| None \| None \| None \| None \| None row 7 : rwanda \| 28 \| 120 \| 76 \| 22 \| 63 \| 63 \| 80 \| None \| None \| None \| None \| None row 8 : world \| 32600 \| 25600 \| 29900 \| 32800 \| 34000 \| 38700 \| 44500 \| 60400 \| 62900 \| 62900 \| 62900 \| 63000 ] Execute this SQL based on the above table: select count ( * ) where country = 'congo d.r'	1
[ header: year \| film \| role \| language \| notes row 1 : 2004 \| kyun! ho gaya na \| diya's sister \| hindi \| None row 2 : 2007 \| lakshmi kalyanam \| lakshmi \| telugu \| None row 3 : 2007 \| chandamama \| mahalakshmi \| telugu \| None row 4 : 2008 \| pourudu \| samyukhta \| telugu \| None row 5 : 2008 \| pazhani \| deepti \| tamil \| None row 6 : 2008 \| aatadista \| sunnanda \| telugu \| None row 7 : 2008 \| saroja \| pooja \| tamil \| cameo appearance row 8 : 2008 \| bommalattam \| anitha \| tamil \| None row 9 : 2009 \| modhi vilayadu \| easwari laksh \| tamil \| None row 10 : 2009 \| magadheera \| yuvarani mithravind \| telugu \| dual role nominated- filmfare award row 11 : 2009 \| ganesh just ganes \| divya \| telugu \| None row 12 : 2009 \| arya 2 \| geethanjali \| telugu \| None row 13 : 2010 \| om shanti \| meghana \| telugu \| None row 14 : 2010 \| darling \| nandini \| telugu \| nominated- filmfare award for best row 15 : 2010 \| naan mahaan alla \| priya sudharsan \| tamil \| None row 16 : 2010 \| brindaavanam \| bhoomi \| telugu \| cinemaa award for best actress (telugu row 17 : 2011 \| mr. perfect \| priya \| telugu \| nominated- filmfare award for best row 18 : 2011 \| veera \| chitti \| telugu \| None row 19 : 2011 \| singham \| kavya bhosle \| hindi \| nominated- filmfare award for best row 20 : 2011 \| dhada \| rhea \| telugu \| None row 21 : 2012 \| businessman \| chitra \| telugu \| None row 22 : 2012 \| maattrraan \| anjali \| tamil \| None row 23 : 2012 \| thuppakki \| nisha \| tamil \| cinemaa award for best actress (tamil row 24 : 2012 \| sarocharu \| sandhya \| telugu \| None row 25 : 2013 \| naayak \| madhu \| telugu \| None row 26 : 2013 \| special 26 \| priya chauhan \| hindi \| None row 27 : 2013 \| baadshah \| janaki \| telugu \| None row 28 : 2013 \| all in all azhagu raj \| chitra devi priya \| tamil \| None row 29 : 2014 \| jilla \| shanthi \| tamil \| None row 30 : 2014 \| yevadu \| deepthi \| telugu \| special appearance row 31 : 2014 \| govindudu andarivadele \| None \| telugu \| filming row 32 : 2014 \| 'untitled balaji mohan project \| None \| tamil \| pre-production ] Execute this SQL based on the above table: select notes where notes != 'None' group by notes having count ( * ) = 2	nominated- filmfare award for best actress - telugu
[ header: rank \| rider \| team \| points row 1 : 1 \| robbie mcewen (aus \| davitamon-lotto \| 288 row 2 : 2 \| erik zabel (ger) \| team milram \| 199 row 3 : 3 \| thor hushovd (nor \| credit agricole \| 195 row 4 : 4 \| bernhard eisel ( \| francaise des jeux \| 176 row 5 : 5 \| luca paolini (ita) \| liquigas \| 174 row 6 : 6 \| inaki isasi (esp \| euskaltel-euskad \| 130 row 7 : 7 \| francisco ventoso (es \| saunier duval-prodir \| 128 row 8 : 8 \| cristian moreni (ita \| cofidis \| 116 row 9 : 9 \| jimmy casper (fra \| cofidis \| 98 row 10 : 10 \| oscar pereiro (esp \| caisse d'epargne-illes \| 88 ] Execute this SQL based on the above table: select count ( team ) where points > 288	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 division = 'reg. pref' order by division desc limit 1	11th
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 3, 1978 \| at new orleans saints \| l 31-24 \| 54,187 row 2 : 2 \| september 11, 1978 \| denver broncos \| w 12-9 \| 46,508 row 3 : 3 \| september 17, 1978 \| tampa bay buccaneers \| l 16-10 \| 46,152 row 4 : 4 \| september 25, 1978 \| at chicago bears \| w 24-20 \| 53,551 row 5 : 5 \| october 1, 1978 \| at tampa bay buccaneers \| w 24-7 \| 65,972 row 6 : 6 \| october 8, 1978 \| at seattle seahawks \| l 29-28 \| 62,031 row 7 : 7 \| october 15, 1978 \| los angeles rams \| l 34-17 \| 46,551 row 8 : 8 \| october 22, 1978 \| green bay packers \| w 21-7 \| 47,411 row 9 : 9 \| october 26, 1978 \| at dallas cowboys \| w 21-10 \| 61,848 row 10 : 10 \| november 5, 1978 \| detroit lions \| w 17-7 \| 46,008 row 11 : 11 \| november 12, 1978 \| chicago bears \| w 17-14 \| 43,286 row 12 : 12 \| november 19, 1978 \| san diego chargers \| l 13-7 \| 38,859 row 13 : 13 \| november 26, 1978 \| at green bay packers \| t 10-10 (ot) \| 51,737 row 14 : 14 \| december 3, 1978 \| philadelphia eagles \| w 28-27 \| 38,722 row 15 : 15 \| december 9, 1978 \| at detroit lions \| l 45-14 \| 78,685 row 16 : 16 \| december 17, 1978 \| at oakland raiders \| l 27-20 \| 44,643 ] Execute this SQL based on the above table: select opponent where opponent in ( 'at dallas cowboys' , 'at oakland raiders' ) order by attendance desc limit 1	at dallas cowboys
[ header: # \| temple name \| hangul \| hanja \| period of reign \| personal name \| relationship \| note row 1 : 5 \| chogo \| 초고왕 \| 肖古王 \| 166-214 \| None \| son of gaeru \| also sogo (소고왕, 素古王) row 2 : 7 \| saban \| 사반왕 \| 沙泮王 \| 234 \| None \| first son of gusu \| also sai (사이왕, 沙伊王 row 3 : 9 \| chaekgye \| 책계왕 \| 責稽王 \| 286-298 \| None \| son of goi \| also cheonggye (청계왕, row 4 : 11 \| biryu \| 비류왕 \| 比流王 \| 304-344 \| None \| second son of gusu \| None row 5 : 13 \| geunchogo \| 근초고왕 \| 近肖古王 \| 346-375 \| yeogu \| second son of biryu \| also chogo (초고왕, 肖古王) row 6 : 15 \| chimnyu \| 침류왕 \| 枕流王 \| 384-385 \| None \| first son of geungusu \| None row 7 : 16 \| jinsa \| 진사왕 \| 辰斯王 \| 385-392 \| None \| younger brother of chimnyu \| also buyeohui (부여휘, 扶餘暉 row 8 : 17 \| asin \| 아신왕 \| 阿莘王 \| 392-405 \| None \| nephew of jinsa; first son \| also aha (아화왕, 阿華王) row 9 : 19 \| gu-isin \| 구이신왕 \| 久爾辛王 \| 420-427 \| None \| first son of jeonji \| None row 10 : 23 \| samgeun \| 삼근왕 \| 三斤王 \| 477-479 \| samgeun (삼근, 三斤 \| first son of munju \| also mun-geun (문근왕, 文斤王 row 11 : 24 \| dongseong \| 동성왕 \| 東城王 \| 479-501 \| modae (모대, 牟大) or \| cousin of samgeum \| None ] Execute this SQL based on the above table: select note where # = 7	also sai (사이왕, 沙伊王)
[ header: jamo \| hangul compatibility \| hangul jamo area \| hanyang private use \| halfwidth row 1 : ᅷ \| None \| u+1177 \| u+f809 \| None row 2 : ᅣ \| u+3151 \| u+1163 \| u+f80c \| u+ffc4 row 3 : ᅹ \| None \| u+1179 \| u+f80e \| None row 4 : ᅺ \| None \| u+117a \| u+f812 \| None row 5 : ᅼ \| None \| u+117c \| u+f814 \| None row 6 : ᅽ \| None \| u+117d \| u+f818 \| None row 7 : ᅨ \| u+3156 \| u+1168 \| u+f81a \| u+ffcb row 8 : ᅩ \| u+3157 \| u+1169 \| u+f81b \| u+ffcc row 9 : ᅩᅤ \| None \| u+11a7 \| u+f81f \| None row 10 : ᆀ \| None \| u+1180 \| u+f821 \| None row 11 : ᅩᅧ \| None \| u+d7b0 \| u+f822 \| None row 12 : ᅩᅩᅵ \| None \| u+d7b1 \| u+f825 \| None row 13 : ᆃ \| None \| u+1183 \| u+f826 \| None row 14 : ᅭᅢ \| None \| u+d7b3 \| u+f82a \| None row 15 : ᆄ \| u+3187 \| u+1184 \| u+f82b \| None row 16 : ᆊ \| None \| u+118a \| u+f833 \| None row 17 : ᅯ \| u+315d \| u+116f \| u+f834 \| u+ffd4 row 18 : ᆋ \| None \| u+118b \| u+f835 \| None row 19 : ᅰ \| u+315e \| u+1170 \| u+f836 \| u+ffd5 row 20 : ᅮᅧ \| None \| u+d7b5 \| u+f837 \| None row 21 : ᆍ \| None \| u+118d \| u+f839 \| None row 22 : ᅱ \| u+315f \| u+1171 \| u+f83a \| u+ffd6 row 23 : ᆎ \| None \| u+118e \| u+f83d \| None row 24 : ᅲᅢ \| None \| u+d7b7 \| u+f83e \| None row 25 : ᆐ \| None \| u+1190 \| u+f840 \| None row 26 : ᆑ \| u+318a \| u+1191 \| u+f841 \| None row 27 : ᆒ \| u+318b \| u+1192 \| u+f842 \| None row 28 : ᅲᅩ \| None \| u+d7b8 \| u+f843 \| None row 29 : ᆓ \| None \| u+1193 \| u+f844 \| None row 30 : ᆔ \| u+318c \| u+1194 \| u+f845 \| None row 31 : ᅳᅡ \| None \| u+d7b9 \| u+f847 \| None row 32 : ᅳᅥ \| None \| u+d7ba \| u+f848 \| None row 33 : ᆖ \| None \| u+1196 \| u+f84c \| None row 34 : ᅵ \| u+3163 \| u+1175 \| u+f84f \| u+ffdc row 35 : ᅵᅣᅩ \| None \| u+d7bd \| u+f852 \| None row 36 : ᅵᅤ \| None \| u+d7be \| u+f853 \| None ] Execute this SQL based on the above table: select count ( * ) where halfwidth = 'None'	0
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select max ( col height (m) )	2797.0
[ header: draft order round \| draft order choice \| player \| position \| height \| weight \| college row 1 : 1 \| 1 \| matthew stafford \| qb \| 6 ft 2 in (1.88 \| 223 lb (101 kg) \| georgia row 2 : 1 \| 20 \| brandon pettigrew \| te \| 6 ft 5 in (1.96 \| 263 lb (119 kg) \| oklahoma state row 3 : 2 \| 33 \| louis delmas \| s \| 5 ft 11 in (1.80 \| 202 lb (92 kg) \| western michigan row 4 : 3 \| 76 \| deandre levy \| olb \| 6 ft 2 in (1.88 \| 236 lb (107 kg) \| wisconsin row 5 : 3 \| 82 \| derrick williams \| wr \| 5 ft 11 in (1.80 \| 197 lb (89 kg) \| penn state row 6 : 4 \| 115 \| sammie lee hill \| dt \| 6 ft 4 in (1.93 \| 329 lb (149 kg) \| stillman row 7 : 6 \| 192 \| aaron brown \| rb \| 6 ft 1 in (1.85 \| 196 lb (89 kg) \| texas christian row 8 : 7 \| 228 \| lydon murtha \| ot \| 6 ft 7 in (2.01 \| 315 lb (143 kg) \| nebraska row 9 : 7 \| 235 \| zack follett \| olb \| 6 ft 1 in (1.85 \| 238 lb (108 kg) \| california row 10 : 7 \| 255 \| dan gronkowski \| te \| 6 ft 6 in (1.98 \| 255 lb (116 kg) \| maryland ] Execute this SQL based on the above table: select max ( draft order round ) - min ( draft order round )	6.0
[ header: rank \| athlete \| ski time \| penalties p+s+p+s \| total row 1 : None \| zhang qing (chn) \| 59:53.2 \| 1+1+0+1 \| 1:02:53.2 row 2 : None \| dmitriy pozdn \| 1:01:01.0 \| 0+2+0+0 \| 1:03:01.0 row 3 : None \| dmitriy pantov ( \| 59:24.8 \| 1+2+0+1 \| 1:03:24.8 row 4 : 4 \| hideki yamamoto (jpn) \| 1:02:55.5 \| 0+1+3+0 \| 1:06:55.5 row 5 : 5 \| qiu lianhai (ch \| 1:03:18.9 \| 1+1+0+2 \| 1:07:18.9 row 6 : 6 \| shin byung-gook (kor \| 1:02:49.3 \| 1+2+1+1 \| 1:07:49.3 row 7 : 7 \| son hae-kwon (kor) \| 1:02:58.3 \| 1+1+2+1 \| 1:07:58.3 row 8 : 8 \| wang xin (chn) \| 1:04:42.4 \| 2+1+1+1 \| 1:09:42.4 row 9 : 9 \| naoki shindo \| 1:03:08.5 \| 3+1+0+3 \| 1:10:08.5 row 10 : 9 \| jeon jae-won (kor) \| 1:02:08.5 \| 2+2+2+2 \| 1:10:08.5 row 11 : 11 \| alexey karevskiy ( \| 1:03:28.8 \| 3+1+1+2 \| 1:10:28.8 row 12 : 12 \| sergey abdukarov (kaz \| 1:05:11.4 \| 1+2+1+3 \| 1:12:11.4 row 13 : 13 \| takashi shindo ( \| 1:01:15.0 \| 3+3+2+4 \| 1:13:15.0 row 14 : 14 \| shinji ebisawa (jp \| 1:04:13.6 \| 3+3+1+3 \| 1:14:13.6 row 15 : 15 \| choi neung-chul \| 1:08:50.6 \| 3+2+0+1 \| 1:14:50.6 row 16 : 16 \| byamba enkh-amgalan \| 1:15:20.4 \| 4+5+2+2 \| 1:28:20.4 ] Execute this SQL based on the above table: select rank where rank = 5	5.0
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select rank where studio = 'paramount'	2, 3, 20
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1986 \| toronto indoor, canada \| carpet \| danie visser \| wojtek fibak joakim \| 3-6, 6-7 row 2 : winner \| 1 \| 1986 \| milan, italy \| carpet \| colin dowdeswell \| brian levine laurie warder \| 6-3, 4-6, 6-1 row 3 : runner-up \| 2 \| 1986 \| atlanta, u.s \| carpet \| danie visser \| andy kohlberg robert van \| 2-6, 3-6 row 4 : winner \| 2 \| 1986 \| bristol, england \| grass \| danie visser \| mark edmondson wally masur \| 6-7, 7-6, 12-10 row 5 : runner-up \| 3 \| 1986 \| cincinnati, u.s \| hard \| danie visser \| mark kratzmann kim warwick \| 3-6, 4-6 row 6 : runner-up \| 4 \| 1986 \| tel aviv, israel \| hard \| danie visser \| john letts peter lund \| 3-6, 6-3, 3-6 row 7 : runner-up \| 5 \| 1987 \| philadelphia, u.s \| carpet \| danie visser \| sergio casal emilio s \| 6-3, 1-6, 6-7 ] Execute this SQL based on the above table: select count ( opponents in the final ) where outcome < 'runner-up'	0
[ header: date \| racecourse \| distance \| race status \| race \| position \| winning distance (lengths) \| jockey \| rating \| going \| odds \| prize money row 1 : april 10, 2004 \| kempton park \| 8f \| listed \| snowdrop fillies stakes \| 2nd to beneventa \| None \| johnny murtagh \| 114 \| good to soft \| 4/11f \| £6,600 row 2 : april 24, 2004 \| sandown park \| 8f \| group 2 \| betfred mile \| 3rd to hurricane alan \| None \| johnny murtagh \| 114 \| good to soft \| 5/2f \| £11,000 row 3 : may 22, 2004 \| curragh \| 8f \| group 2 \| ridgewood pearl stakes \| 1st \| 6 \| johnny murtagh \| None \| good to firm \| 11/10f \| £56,760.56 row 4 : june 15, 2004 \| royal ascot \| 8f \| group 1 \| queen anne stakes \| 2nd to refuse to bend \| None \| johnny murtagh \| 114 \| good to firm \| 6/1 \| £55,000 row 5 : july 6, 2004 \| newmarket \| 8f \| group 1 \| falmouth stakes \| 1st \| 21⁄2 \| johnny murtagh \| 114 \| good to firm \| 11/4 \| £116,000 row 6 : july 28, 2004 \| goodwood \| 8f \| group 1 \| sussex stakes \| 1st \| nk \| johnny murtagh \| 115 \| good \| 3/1 \| £174,000 row 7 : september 11, 2004 \| leopardstown \| 8f \| group 1 \| matron stakes \| 1st \| 1⁄2 \| johnny murtagh \| None \| good to firm \| 8/13f \| £119,014.08 row 8 : september 25, 2004 \| ascot \| 8f \| group 1 \| qeii stakes \| 6th to rakti \| None \| johnny murtagh \| 120 \| good to firm \| 5/2f \| £3,750 ] Execute this SQL based on the above table: select date where date != 'april 24, 2004' and rating = ( select rating where date = 'april 24, 2004' )	april 10, 2004, june 15, 2004, july 6, 2004
[ header: rank \| name \| nation \| time \| speed \| note row 1 : 1 \| vilija sereikaite \| lithuania \| 3:33.766 \| 50.522 \| q row 2 : 2 \| ellen van dijk \| netherlands \| 3:35.951 \| 50.011 \| q row 3 : 3 \| joanna rowsell \| united kingdom \| 3:37.641 \| 49.623 \| q row 4 : 4 \| svitlana halyuk \| ukraine \| 3:42.498 \| 48.539 \| q row 5 : 5 \| aksana papko \| belarus \| 3:43.935 \| 48.288 \| None row 6 : 6 \| oxana kozonchuk \| russia \| 3:45.132 \| 47.971 \| None row 7 : 7 \| jarmila machacova \| czech republic \| 3:47.209 \| 47.533 \| None row 8 : 8 \| stephanie pohl \| germany \| 3:47.483 \| 47.476 \| None row 9 : 9 \| lisa brennauer \| germany \| 3:48.017 \| 47.364 \| None row 10 : 10 \| edyta jasinska \| poland \| 3:48.628 \| 47.238 \| None row 11 : 11 \| audrey cordon \| france \| 3:49.376 \| 47.084 \| None row 12 : 12 \| alena amialyusik \| belarus \| 3:49.711 \| 47.015 \| None row 13 : 13 \| hannah mayho \| united kingdom \| 3:50.176 \| 46.92 \| None row 14 : 14 \| viktoriya kondel \| russia \| 3:51.349 \| 46.682 \| None row 15 : 15 \| oksana lyesnik \| ukraine \| 3:51.543 \| 46.643 \| None row 16 : 16 \| elise van hage \| netherlands \| 3:55.349 \| 45.889 \| None row 17 : 17 \| dominika maczka \| poland \| 4:01.597 \| 44.702 \| None ] Execute this SQL based on the above table: select name order by speed asc limit 1	dominika maczka
[ header: rank \| athlete \| nationality \| time row 1 : None \| liliana barbulescu \| romania \| 2:00.06 row 2 : None \| anna zagorska \| poland \| 2:00.11 row 3 : None \| irina vashents \| russia \| 2:00.77 row 4 : 4 \| laura gerber \| switzerland \| 2:01.39 row 5 : 5 \| christiane dos sant \| brazil \| 2:01.53 row 6 : 6 \| tamara volkova \| ukraine \| 2:01.86 row 7 : 7 \| tatyana yegorova \| russia \| 2:02.64 row 8 : 8 \| sandra teixeira \| portugal \| 2:03.01 ] Execute this SQL based on the above table: select nationality where athlete = 'anna zagorska'	poland
[ header: country \| total gdp (nominal) (billion us$) \| gdp per capita (us$, ppp) \| gdp growth, 2007-2011 (in %) \| hdi row 1 : algeria \| 188.7 \| 8715 \| 2.7 \| 0.733 row 2 : angola \| 101 \| 5930 \| 9.1 \| 0.446 row 3 : benin \| 7.3 \| 1628 \| 3.9 \| 0.437 row 4 : botswana \| 17.6 \| 14753 \| 3 \| 0.654 row 5 : burkina faso \| 10.2 \| 1310 \| 4.9 \| 0.37 row 6 : cameroon \| 25.5 \| 2383 \| 3.1 \| 0.532 row 7 : chad \| 9.5 \| 1531 \| 2.9 \| 0.388 row 8 : comoros \| 0.6 \| 1117 \| 1.5 \| 0.561 row 9 : democratic republic of the congo \| 15.6 \| 375 \| 5.9 \| 0.411 row 10 : congo \| 14.7 \| 4429 \| 4.9 \| 0.548 row 11 : ivory coast \| 24.1 \| 1803 \| 1.1 \| 0.432 row 12 : egypt \| 229.5 \| 6324 \| 5.2 \| 0.708 row 13 : equatorial guinea \| 19.8 \| 36515 \| 8.8 \| 0.642 row 14 : eritrea \| 2.6 \| 589 \| 1.3 \| 0.483 row 15 : ethiopia \| 31.7 \| 1116 \| 9.7 \| 0.406 row 16 : gabon \| 17.1 \| 15960 \| 3.6 \| 0.677 row 17 : ghana \| 39.2 \| 1884 \| 8.3 \| 0.553 row 18 : guinea \| 5.1 \| 1128 \| 2.4 \| 0.456 row 19 : guinea-bissau \| 1 \| 1251 \| 3.6 \| 0.374 row 20 : kenya \| 33.6 \| 1718 \| 4.2 \| 0.521 row 21 : lesotho \| 2.4 \| 1715 \| 4.9 \| 0.549 row 22 : liberia \| 1.2 \| 577 \| 11.6 \| None row 23 : libya \| 62.4 (2009) \| 16,855 (2009) \| 4 \| 0.769 row 24 : malawi \| 5.7 \| 918 \| 6.8 \| 0.437 row 25 : mali \| 10.6 \| 1099 \| 4.5 \| 0.38 row 26 : mauritania \| 4.1 \| 2571 \| 2.8 \| 0.55 row 27 : mauritius \| 11.3 \| 14523 \| 4.5 \| 0.804 row 28 : morocco \| 100.2 \| 4986 \| 4.3 \| 0.646 row 29 : mozambique \| 12.8 \| 982 \| 6.9 \| 0.384 row 30 : namibia \| 12.3 \| 6826 \| 3.7 \| 0.65 row 31 : niger \| 6 \| 732 \| 4.3 \| 0.374 row 32 : nigeria \| 235.9 \| 2532 \| 6.8 \| 0.67 row 33 : reunion (france) \| 15.98 \| 8,233 (nominal) \| None \| 0.850 (2003) row 34 : rwanda \| 6.4 \| 1251 \| 7.3 \| 0.452 row 35 : sao tome and principe \| 0.2 \| 2058 \| 5.7 \| 0.654 row 36 : senegal \| 14.3 \| 1981 \| 3.5 \| 0.499 row 37 : seychelles \| 1 \| 26420 \| 4.2 \| 0.843 row 38 : sierra leone \| 2.2 \| 877 \| 5.2 \| 0.336 row 39 : somalia \| (n/a) \| None \| None \| None row 40 : south africa \| 408.2 \| 11035 \| 2.7 \| 0.674 row 41 : south sudan \| None \| None \| None \| None row 42 : sudan \| 55.1 \| 2141 \| 4.1 \| 0.526 row 43 : swaziland \| 4 \| 6099 \| 2.1 \| 0.547 row 44 : tanzania \| 23.7 \| 1521 \| 6.8 \| 0.467 ] Execute this SQL based on the above table: select country where gdp growth, 2007-2011 (in %) = '3.9'	benin
[ header: song \| artist(s) \| concert \| film \| 1978 album \| 2002 album row 1 : "up on cripple creek" \| the band \| 1 \| 3 \| 2 \| 2 row 2 : "it makes no difference" \| the band \| 3 \| 6 \| 8 \| 4 row 3 : "this wheel's on fire" \| the band \| 5 \| None \| None \| 10 row 4 : "w.s. walcott medicine show \| the band \| 6 \| None \| None \| 26 row 5 : "georgia on my mind" \| the band \| 7 \| None \| None \| None row 6 : "ophelia" \| the band \| 8 \| 20 \| 16 \| 18 row 7 : "king harvest (has surely come)" \| the band \| 9 \| None \| None \| None row 8 : "rag mama rag" \| the band \| 12 \| None \| None \| 15 row 9 : "such a night" \| dr. john \| 14 \| 8 \| 9 \| 7 row 10 : "down south in new orleans" \| bobby charles and dr \| 15 \| None \| 15 \| 9 row 11 : "mystery train" \| paul butterfield \| 16 \| 15 \| 11 \| 11 row 12 : "caldonia" \| muddy waters \| 17 \| None \| None \| 12 row 13 : "all our past times" \| eric clapton \| 19 \| None \| None \| 16 row 14 : "further on up the road" \| eric clapton \| 20 \| 17 \| 13 \| 17 row 15 : "four strong winds" \| neil young \| 22 \| None \| None \| 20 row 16 : "shadows and light" \| joni mitchell \| 24 \| None \| None \| 22 row 17 : "furry sings the blues" \| joni mitchell \| 25 \| None \| None \| 23 row 18 : "dry your eyes" \| neil diamond \| 26 \| 13 \| 7 \| 25 row 19 : "tura lura lural (that \| van morrison \| 27 \| None \| 17 \| 27 row 20 : "caravan" \| van morrison \| 28 \| 21 \| 18 \| 28 row 21 : "genetic method"/"chest fever \| the band \| 30 \| 19 \| None \| 30 row 22 : "the last waltz suite: \| the band \| 31 \| None \| None \| None row 23 : "baby, let me follow you down" \| bob dylan \| 33 \| None \| 20 \| 31 row 24 : "hazel" \| bob dylan \| 34 \| None \| None \| 32 row 25 : "i don't believe you" \| bob dylan \| 35 \| None \| 21 \| 33 row 26 : "forever young" \| bob dylan \| 36 \| 23 \| 22 \| 34 row 27 : "jam #2" \| neil young, ronnie \| 40 \| None \| None \| 38 row 28 : "don't do it" \| the band \| 41 \| 1 \| None \| 39 row 29 : "greensleeves" \| the band \| 42 \| None \| None \| 40 row 30 : introduction to the canterbury tales in \| michael mcclure \| None \| 7 \| None \| None row 31 : "the weight" (studio version) \| the band and the staple singers \| None \| 11 \| 29 \| 44 row 32 : "evangeline" (studio version) \| the band and emmylou \| None \| 18 \| 27 \| None row 33 : "loud prayer" \| lawrence ferlinghetti \| None \| 22 \| None \| None ] Execute this SQL based on the above table: select artist(s) group by artist(s) order by count ( * ) desc limit 1	the band
[ header: club \| winners \| runner-ups \| winning years \| runner-up years row 1 : fk austria wien \| 6 \| 2 \| 1990, 1991, 1992, 1994, 2003, \| 1986, 1994 row 2 : sk rapid wien \| 4 \| 1 \| 1986, 1987, 1988, 2008 \| 1995, 1996 row 3 : sk sturm graz \| 3 \| 2 \| 1996, 1998, 1999 \| 1997, 2002 row 4 : sv austria salzburg \| 3 \| 0 \| 1994, 1995, 1997 \| None row 5 : grazer ak \| 2 \| 1 \| 2000, 2002 \| 2004 row 6 : vfb admira wacker modling \| 1 \| 1 \| 1989 \| 1992 row 7 : fc karnten \| 1 \| 1 \| 2001 \| 2003 row 8 : fc swarovski \| 0 \| 6 \| None \| 1987, 1989, 1990, 1993, 2000, row 9 : kremser sc \| 0 \| 1 \| None \| 1988 row 10 : sv stockerau \| 0 \| 1 \| None \| 1991 row 11 : sv ried \| 0 \| 1 \| None \| 1998 row 12 : lask linz \| 0 \| 1 \| None \| 1999 row 13 : sv horn \| 0 \| 1 \| None \| 2008 ] Execute this SQL based on the above table: select winners where winners = 0	0.0, 0.0, 0.0, 0.0, 0.0, 0.0
[ header: creature (other planes) \| page \| other appearances \| variants \| description row 1 : aerial servant \| 39 \| rules cyclopedia (1991) \| None \| None row 2 : basilisk \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 3 : cockatrice \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 4 : djinni, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 5 : djinni, greater \| 39 \| rules cyclopedia (1991) \| None \| None row 6 : efreeti, lesser \| 39 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 7 : efreeti, greater \| 39-40 \| rules cyclopedia (1991) \| None \| None row 8 : elemental \| 40 \| d&d expert rules (1981), \| None \| describes additional statistics and abilities/penalties applicable row 9 : gorgon \| 40 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 10 : helion \| 40 \| rules cyclopedia (1991) \| None \| None row 11 : horde \| 41 \| rules cyclopedia (1991) \| None \| None row 12 : hydrax \| 41 \| rules cyclopedia (1991) \| None \| None row 13 : invisible stalker \| 41 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 14 : kryst \| 42 \| rules cyclopedia (1991) \| None \| None row 15 : medusa \| 42 \| d&d basic rules (1981), \| None \| describes additional abilities/penalties applicable to native row 16 : plasm \| 42 \| rules cyclopedia (1991) \| normal and giant \| None row 17 : salamander \| 42 \| d&d expert rules (1981), \| None \| describes additional abilities/penalties applicable to native row 18 : undine \| 42 \| rules cyclopedia (1991) \| None \| None ] Execute this SQL based on the above table: select variants group by variants order by count ( * ) limit 1	normal and giant
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states (usa) \| 25 \| 16 \| 7 \| 48 row 2 : 2 \| canada (can) \| 5 \| 4 \| 7 \| 16 row 3 : 3 \| jamaica (jam) \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| cuba (cub) \| 3 \| 8 \| 4 \| 15 row 5 : 5 \| mexico (mex) \| 0 \| 3 \| 3 \| 6 row 6 : 6 \| brazil (bra) \| 0 \| 2 \| 1 \| 3 row 7 : 7 \| puerto rico (pur) \| 0 \| 1 \| 1 \| 2 row 8 : 8 \| colombia (col) \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| peru (per) \| 0 \| 0 \| 2 \| 2 row 10 : 9 \| trinidad and tobago (tri) \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| uruguay (uru) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| venezuela (ven) \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select total order by rank desc limit 1	1.0
[ header: episode \| airdate \| game 1 \| game 2 \| game 3 \| viewers row 1 : 1 \| 17 april 2010 \| 'twin peaks' \| 'a walk in the dark' \| 'lock and key' \| 4.52m row 2 : 2 \| 24 april 2010 \| 'caught in the net' \| 'stick 'em up' \| 'power trip' \| 4.41m row 3 : 3 \| 1 may 2010 \| 'knotting hills' \| 'it's a wrap!' \| 'lock and key' \| 4.31m row 4 : 4 \| 8 may 2010 \| 'caught in the net' \| 'a walk in the dark' \| 'power trip' \| 4.44m row 5 : 5 \| 15 may 2010 \| 'twin peaks' \| 'it's a wrap!' \| 'lock and key' \| 4.46m row 6 : 6 \| 22 may 2010 \| 'knotting hills' \| 'stick 'em up' \| 'power trip' \| under 2.61m row 7 : 7 \| 29 may 2010 \| 'caught in the net' \| 'a walk in the dark' \| 'lock and key' \| 4.68m row 8 : 8 \| 5 june 2010 \| 'knotting hills' \| 'stick 'em up' \| 'lock and key' \| 3.44m ] Execute this SQL based on the above table: select viewers where id = ( select id where viewers = 'under 2.61m' ) + 1	4.68m
[ header: number \| serial no \| entered service \| withdrawn \| kilometres travelled row 1 : 4101 \| 1000 \| 1 dec 1953 \| 6 jun 1973 \| 463,514 row 2 : 4102 \| 1002 \| 30 oct 1953 \| 30 jun 1975 \| 492,650 row 3 : 4103 \| 1003 \| 18 jan 1954 \| 2 apr 1974 \| 462,871 row 4 : 4104 \| 1004 \| 13 jan 1954 \| 12 oct 1973 \| 440,810 row 5 : 4105 \| 1005 \| 8 feb 1954 \| None \| None row 6 : 4106 \| 1006 \| 21 jan 1954 \| 4 aug 1972 \| 406,288 row 7 : 4107 \| 1007 \| 25 jan 1954 \| 11 aug 1973 \| 446,167 row 8 : 4108 \| 1008 \| 22 feb 1954 \| 20 dec 1967 \| 402,026 row 9 : 4109 \| 1009 \| 11 mar 1954 \| 9 feb 1972 \| 426,074 row 10 : 4110 \| 1010 \| 10 feb 1955 \| 20 may 1974 \| 476,489 ] Execute this SQL based on the above table: select entered service where entered service = ( select entered service where entered service = '10 feb 1955' ) + 1	11 mar 1954
[ header: material \| formula \| refractive index(es) 589.3 nm \| dispersion 431 - 687 nm \| hardness (mohs' scale) \| density (g/cm3) \| thermal cond. \| state of the art row 1 : diamond \| c \| 2.417 \| 0.044 \| 10 \| 3.52 \| excellent \| (natural) row 2 : glasses \| silica with pb, al, \| ~ 1.6 \| > 0.020 \| < 6 \| 2.4 - 4.2 \| poor \| 1700 - row 3 : white sapphire \| al2o3 \| 1.762 - 1.770 \| 0.018 \| 9 \| 3.97 \| poor \| 1900-1947 row 4 : spinel \| mgo·al2o3 \| 1.727 \| 0.02 \| 8 \| ~ 3.6 \| poor \| 1920-1947 row 5 : rutile \| tio2 \| 2.62 - 2.9 \| 0.33 \| ~ 6 \| 4.25 \| poor \| 1947-1955 row 6 : strontium titanate \| srtio3 \| 2.41 \| 0.19 \| 5.5 \| 5.13 \| poor \| 1955-1970 row 7 : yag \| y3al5o12 \| 1.83 \| 0.028 \| 8.25 \| 4.55 - 4.65 \| poor \| 1970-1975 row 8 : ggg \| gd3ga5o12 \| 1.97 \| 0.045 \| 7 \| 7.02 \| poor \| 1973-1975 row 9 : cubic zirconia \| zro2(+ rare earths \| ~ 2.2 \| ~ 0.06 \| ~ 8.3 \| ~ 5.7 \| poor \| 1976 - row 10 : moissanite \| sic \| 2.648 - 2.691 \| 0.104 \| 8.5-9.25 \| 3.2 \| high \| 1998 - row 11 : quartz \| silica \| 1.543 - 1.554 \| None \| 7- \| 2.50 - 2.65 \| None \| ancient ] Execute this SQL based on the above table: select formula where material = 'glasses'	silica with pb, al, &/or tl
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select licensee order by city of license desc limit 1	western slope communications
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( percentage ) where percentage = '36.93%'	1
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 79 \| july 1 \| @ braves \| 8-4 \| gonzalez (11-3) \| hudson (6-4) \| None \| 18796 \| 45-32 row 2 : 82 \| july 5 \| giants \| 6-5 \| clippard (2-2) \| casilla (2-4) \| None \| 29819 \| 48-32 row 3 : 83 \| july 6 \| rockies \| 1-5 \| pomeranz (1-3) \| strasburg (9-4) \| betancourt (14) \| 28951 \| 48-33 row 4 : 84 \| july 7 \| rockies \| 4-1 \| gonzalez (12-3) \| francis (2-2) \| clippard (14) \| 28032 \| 49-33 row 5 : 85 \| july 8 \| rockies \| 3-4 \| brothers (4-2) \| clippard (2-3) \| betancourt (15) \| 25125 \| 49-34 row 6 : None \| july 10 \| 2012 major league baseball all-star game in \| None \| None \| None \| None \| None \| None row 7 : 86 \| july 13 \| @ marlins \| 5-1 \| zimmermann (6-6) \| johnson (5-6) \| None \| 30911 \| 50-34 row 8 : 88 \| july 15 \| @ marlins \| 4-0 \| strasburg (10-4) \| nolasco (8-7) \| None \| 29889 \| 51-35 row 9 : 89 \| july 16 \| @ marlins \| 3-5 \| zambrano (5-7) \| jackson (5-5) \| dunn (1) \| 29248 \| 51-36 row 10 : 91 \| july 18 \| mets \| 4-3 \| zimmermann (7-6) \| young (2-4) \| clippard (15) \| 31660 \| 53-36 row 11 : 92 \| july 19 \| mets \| 5-9 \| dickey (13-1) \| gonzalez (12-5) \| None \| 36389 \| 53-37 row 12 : 93 \| july 20 \| braves \| 10-11 (11) \| o'flaherty (2-0 \| gorzelanny (2-2) \| durbin (1) \| 34228 \| 53-38 row 13 : 94 \| july 21 \| braves \| 0-4 \| sheets (2-0) \| jackson (5-6) \| None \| 28745 \| 53-39 row 14 : 52 \| july 21 \| braves \| 5-2 \| lannan (1-0) \| martinez (4-2) \| clippard (16) \| 40047 \| 54-39 row 15 : 95 \| july 22 \| braves \| 9-2 \| detwiler (5-3) \| jurrjens (3-4) \| None \| 34917 \| 55-39 row 16 : 96 \| july 23 \| @ mets \| 8-2 (10) \| gorzelanny (3-2) \| byrdak (2-2) \| None \| 26735 \| 56-39 row 17 : 97 \| july 24 \| @ mets \| 5-2 \| gonzalez (13-5) \| dickey (13-2) \| clippard (17) \| 36236 \| 57-39 row 18 : 98 \| july 25 \| @ mets \| 5-2 \| strasburg (11-4) \| hefner (1-4) \| clippard (18) \| 35517 \| 58-39 row 19 : 99 \| july 26 \| @ brewers \| 8-2 \| jackson (6-6) \| gallardo (8-8) \| None \| 33176 \| 59-39 row 20 : 100 \| july 27 \| @ brewers \| 0-6 \| fiers (4-4) \| detwiler (5-4) \| None \| 35858 \| 59-40 row 21 : 101 \| july 28 \| @ brewers \| 4-1 \| zimmermann (8-6) \| wolf (3-7) \| clippard (19) \| 41890 \| 60-40 ] Execute this SQL based on the above table: select count ( * ) where opponent >= 2 * record	20
[ header: district \| incumbent \| party \| first elected \| result \| candidates row 1 : virginia 1 \| thomas newton, j \| adams-clay republican \| 1801 \| re-elected \| thomas newton, j row 2 : virginia 2 \| arthur smith \| crawford republican \| 1821 \| retired jacksonian gain \| james trezvant (j) 75. row 3 : virginia 4 \| mark alexander \| crawford republican \| 1819 \| re-elected \| mark alexander (j) row 4 : virginia 5 \| john randolph \| crawford republican \| 1799 1819 \| re-elected \| john randolph (j) 100% row 5 : virginia 6 \| george tucker \| crawford republican \| 1819 \| retired jacksonian gain \| thomas davenport (j) row 6 : virginia 7 \| jabez leftwich \| crawford republican \| 1821 \| lost re-election jacksonia \| nathaniel h. row 7 : virginia 8 \| burwell bassett \| crawford republican \| 1805 1821 \| re-elected \| burwell bassett (j) 95. row 8 : virginia 9 \| andrew stevenson \| crawford republican \| 1821 \| re-elected \| andrew stevenson (j) row 9 : virginia 10 \| william c. rives \| crawford republican \| 1823 \| re-elected \| william c. rives ( row 10 : virginia 11 \| philip p. barbour \| crawford republican \| 1814 (special) \| retired adams gain \| robert taylor ( row 11 : virginia 12 \| robert s. garnett \| crawford republican \| 1817 \| re-elected \| robert s. garnett ( row 12 : virginia 16 \| james stephenson \| federalist \| 1821 \| retired adams gain \| william armstrong (a) 57 row 13 : virginia 17 \| jared williams \| crawford republican \| 1819 \| retired adams gain \| alfred h. powell (a row 14 : virginia 18 \| joseph johnson \| jackson republican \| 1823 \| re-elected \| joseph johnson (j) row 15 : virginia 19 \| william mccoy \| crawford republican \| 1811 \| re-elected \| william mccoy (j row 16 : virginia 20 \| john floyd \| crawford republican \| 1817 \| re-elected \| john floyd (j) 84 ] Execute this SQL based on the above table: select incumbent where id = ( select id where incumbent = 'joseph johnson' ) + 1	william mccoy
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china (chn) \| 71 \| 39 \| 35 \| 145 row 2 : 2 \| south korea (kor) \| 45 \| 30 \| 31 \| 106 row 3 : 3 \| thailand (tha) \| 17 \| 22 \| 18 \| 57 row 4 : 4 \| singapore (sin) \| 14 \| 18 \| 21 \| 53 row 5 : 5 \| japan (jpn) \| 12 \| 11 \| 10 \| 33 row 6 : 6 \| hong kong (hkg) \| 7 \| 13 \| 18 \| 38 row 7 : 7 \| india (ind) \| 8 \| 7 \| 10 \| 25 row 8 : 8 \| chinese taipei \| 7 \| 13 \| 20 \| 40 row 9 : 9 \| kazakhstan (kaz) \| 5 \| 10 \| 12 \| 27 row 10 : 10 \| north korea (prk) \| 5 \| 6 \| 9 \| 20 row 11 : 11 \| vietnam (vie) \| 5 \| 6 \| 2 \| 13 row 12 : 12 \| malaysia (mas) \| 4 \| 6 \| 8 \| 18 row 13 : 13 \| kuwait (kuw) \| 4 \| 3 \| 5 \| 12 row 14 : 14 \| philippines (phi) \| 2 \| 4 \| 1 \| 7 row 15 : 15 \| iran (iri) \| 1 \| 9 \| 4 \| 14 row 16 : 16 \| qatar (qat) \| 1 \| 4 \| 0 \| 5 row 17 : 17 \| uzbekistan (uzb \| 1 \| 2 \| 8 \| 11 row 18 : 18 \| indonesia (ina) \| 1 \| 2 \| 3 \| 6 row 19 : 19 \| saudi arabia (ksa) \| 1 \| 1 \| 2 \| 4 row 20 : 20 \| yemen (yem) \| 1 \| 0 \| 1 \| 2 row 21 : 21 \| syria (syr \| 1 \| 0 \| 0 \| 1 row 22 : 22 \| sri lanka (sr \| 0 \| 2 \| 7 \| 9 row 23 : 23 \| iraq (irq) \| 0 \| 1 \| 1 \| 2 row 24 : 23 \| macau (mac) \| 0 \| 1 \| 1 \| 2 row 25 : 23 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 26 : 26 \| jordan (jor) \| 0 \| 0 \| 3 \| 3 row 27 : 26 \| mongolia (mgl) \| 0 \| 0 \| 3 \| 3 row 28 : 28 \| bahrain (brn) \| 0 \| 0 \| 2 \| 2 row 29 : 29 \| kyrgyzstan (kgz \| 0 \| 0 \| 1 \| 1 row 30 : 29 \| myanmar (mya) \| 0 \| 0 \| 1 \| 1 row 31 : 29 \| pakistan (pak) \| 0 \| 0 \| 1 \| 1 row 32 : total \| total \| 213 \| 211 \| 239 \| 663 ] Execute this SQL based on the above table: select nation order by total limit 1	syria (syr)
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select team where team in ( 'gitanes automobiles ligier' , 'guy verrier' ) order by class limit 1	guy verrier
[ header: year \| 1st venue \| 2nd venue \| 3rd venue \| 4th venue \| 5th venue \| 6th venue row 1 : 2007 \| sheffield \| mexico city \| nanjing \| None \| None \| None row 2 : 2008 \| tijuana \| sheffield \| nanjing \| None \| None \| None row 3 : 2009 \| doha \| changzhou \| sheffield \| tijuana \| None \| None row 4 : 2010 \| qingdao \| veracruz \| veracruz \| None \| None \| None row 5 : 2011 \| moscow \| beijing \| sheffield \| guanajuato \| None \| None row 6 : 2012 \| dubai \| beijing \| moscow \| tijuana \| None \| None row 7 : 2013 \| beijing \| dubai \| edinburgh \| moscow \| guadalajara \| guadalajara row 8 : 2014 \| beijing \| dubai \| london \| moscow \| windsor \| monterrey ] Execute this SQL based on the above table: select 2nd venue where 1st venue = 'sheffield'	mexico city
[ header: rank \| team \| athletes \| run 1 \| run 2 \| run 3 \| run 4 \| final row 1 : silver \| italy (ita) italy \| eugenio monti, \| 1:17.69 \| 1:17.97 \| 1:18.13 \| 1:18.31 \| 5:12.10 row 2 : bronze \| united states (usa) usa i \| arthur tyler, william \| 1:17.75 \| 1:17.87 \| 1:18.25 \| 1:18.52 \| 5:12.39 row 3 : 4 \| switzerland (sui) \| max angst, aby gar \| 1:17.41 \| 1:17.85 \| 1:18.68 \| 1:20.33 \| 5:14.27 row 4 : 7 \| austria (aut) austria i \| kurt loserth, wil \| 1:19.37 \| 1:19.12 \| 1:20.08 \| 1:19.72 \| 5:18.29 row 5 : 8 \| germany (ger) germany ii \| franz schelle, jako \| 1:19.03 \| 1:18.84 \| 1:19.31 \| 1:21.35 \| 5:18.50 row 6 : 9 \| spain (esp) spain \| alfonso de portago, \| 1:18.87 \| 1:19.27 \| 1:21.37 \| 1:19.08 \| 5:19.49 row 7 : 11 \| norway (nor) norway i \| arne røgden, ar \| 1:20.96 \| 1:20.08 \| 1:20.45 \| 1:20.01 \| 5:21.50 row 8 : 13 \| sweden (swe) s \| kjell holmstrom, \| 1:20.58 \| 1:20.32 \| 1:21.15 \| 1:21.13 \| 5:23.18 row 9 : 16 \| sweden (swe) s \| olle axelsson, \| 1:18.95 \| 1:19.98 \| 1:22.75 \| 1:21.86 \| 5:23.54 row 10 : 18 \| france (fra) france \| andre robin, pierre bouvier \| 1:20.00 \| 1:21.25 \| 1:20.95 \| 1:21.63 \| 5:23.83 row 11 : 21 \| poland (pol) poland \| aleksy konieczny \| None \| None \| None \| None \| 5:28.40 ] Execute this SQL based on the above table: select count ( * ) where rank = 7	1
[ 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 gap where driver = 'paul russo'	7.28
[ header: region \| rnd \| host \| venue \| city \| state row 1 : east \| 1 \| florida state university \| tully gymnasium \| tallahassee \| florida row 2 : east \| 1 \| old dominion university \| old dominion university fieldhouse \| norfolk \| virginia row 3 : east \| 1 \| university of maryland \| cole field house \| college park \| maryland row 4 : east \| 2 \| providence college \| alumni hall (providence) \| providence \| rhode island row 5 : east \| 2 \| university of connecticut \| harry a. gampel pavilion \| storrs \| connecticut row 6 : east \| 2 \| university of tennessee \| thompson-boling arena \| knoxville \| tennessee row 7 : east \| 2 \| university of virginia \| university hall (university of virginia) \| charlottesville \| virginia row 8 : mideast \| 1 \| depaul university \| alumni hall (depaul university) \| chicago \| illinois row 9 : mideast \| 1 \| university of south carolina \| carolina coliseum \| columbia \| south carolina row 10 : mideast \| 1 \| tennessee tech \| eblen center \| cookeville \| tennessee row 11 : mideast \| 1 \| vanderbilt university \| memorial gymnasium (vanderbilt university) \| nashville \| tennessee row 12 : mideast \| 2 \| auburn university \| memorial coliseum (beard- \| auburn \| alabama row 13 : mideast \| 2 \| northwestern university \| welsh-ryan arena \| evanston \| illinois row 14 : mideast \| 2 \| university of iowa \| carver-hawkeye arena \| iowa city \| indiana row 15 : mideast \| 2 \| university of washington \| hec edmundson pavilion \| seattle \| washington row 16 : midwest \| 1 \| northern illinois university \| chick evans field house \| dekalb \| illinois row 17 : midwest \| 1 \| ohio state university \| st. john arena \| columbus \| ohio row 18 : midwest \| 1 \| university of southern mississippi \| reed green coliseum \| hattiesburg \| mississippi row 19 : midwest \| 1 \| oklahoma state university \| gallagher-iba arena \| stillwater \| oklahoma row 20 : midwest \| 2 \| louisiana tech university \| thomas assembly center \| ruston \| louisiana row 21 : midwest \| 2 \| north carolina state university \| reynolds colise \| raleigh \| north carolina row 22 : midwest \| 2 \| university of texas \| frank erwin center \| austin \| texas row 23 : midwest \| 2 \| purdue university \| mackey arena \| west lafayette \| indiana row 24 : west \| 1 \| long beach state \| university gym (gold mine) \| long beach \| california row 25 : west \| 1 \| university of mississippi \| tad smith colise \| university, mississippi \| mississippi row 26 : west \| 1 \| university of montana \| dahlberg arena \| missoula \| montana row 27 : west \| 1 \| university of arkansas \| barnhill arena \| fayetteville \| arkansas row 28 : west \| 2 \| university of georgia \| georgia coliseum ( \| athens \| georgia row 29 : west \| 2 \| stanford university \| maples pavilion \| stanford \| california ] Execute this SQL based on the above table: select host order by rnd desc limit 1	providence college
[ header: season \| tier \| division \| place row 1 : 1949-87 \| 5 \| regional \| None row 2 : 1987/88 \| 5 \| pref. aut \| 10th row 3 : 1988/89 \| 5 \| pref. aut \| 5th row 4 : 1989/90 \| 5 \| pref. aut \| 13th row 5 : 1990/91 \| 5 \| pref. aut \| 11th row 6 : 1991/92 \| 5 \| pref. aut \| 7th row 7 : 1992/93 \| 5 \| pref. aut \| 9th row 8 : 1993/94 \| 5 \| pref. aut \| 4th row 9 : 1994/95 \| 5 \| pref. aut \| 6th row 10 : 1995/96 \| 5 \| pref. aut \| 3rd row 11 : 1996/97 \| 5 \| pref. aut \| 3rd row 12 : 1997/98 \| 5 \| pref. aut \| 1st row 13 : 1998/99 \| 4 \| 3a \| 17th row 14 : 1999/00 \| 5 \| pref. aut \| 6th ] Execute this SQL based on the above table: select ( select tier where place = '13th' ) - ( select sum ( tier ) where place != '13th' )	-54.0
[ header: official name \| designation \| area km2 \| population \| parish row 1 : moncton \| city \| 141.17 \| 69074 \| moncton row 2 : dieppe \| city \| 51.17 \| 23310 \| moncton row 3 : beaubassin east \| rural community \| 291.04 \| 6200 \| shediac row 4 : shediac \| town \| 11.97 \| 6053 \| shediac row 5 : sackville \| town \| 74.32 \| 5558 \| sackville row 6 : memramcook \| village \| 185.71 \| 4831 \| dorchester row 7 : cap-pele \| village \| 23.78 \| 2256 \| botsford row 8 : salisbury \| village \| 13.68 \| 2208 \| salisbury row 9 : petitcodiac \| village \| 17.22 \| 1429 \| salisbury row 10 : dorchester \| village \| 5.74 \| 1167 \| dorchester row 11 : port elgin \| village \| 2.61 \| 418 \| westmorland ] Execute this SQL based on the above table: select sum ( area km2 ) order by area km2 desc limit 10	818.4100000000001
[ header: category \| age (ethnicity) \| n \| v1 \| v2 \| v3 \| v4 \| v5 \| v6 row 1 : None \| 1 week - 1 y \| 210 \| 92% \| 74% \| 27% \| 20% \| 0.50% \| 0% row 2 : None \| 1 y - 2 y \| 154 \| 96% \| 85% \| 39% \| 10% \| 0.70% \| 0% row 3 : None \| 2 y - 5 y \| 202 \| 98% \| 50% \| 22% \| 7% \| 1% \| 0% row 4 : None \| 5 y - 8 y \| 94 \| 91% \| 25% \| 14% \| 5% \| 1% \| 1% row 5 : None \| 8 y - 16 y \| 90 \| 62% \| 7% \| 2% \| 0% \| 0% \| 0% row 6 : males \| 12 y - 13 y \| 209 \| 47% \| 7% \| 0% \| 0% \| 0% \| 0% row 7 : males \| 13 y - 14 y \| 260 \| 35% \| 4.60% \| 0.80% \| 0% \| 0% \| 0% row 8 : males \| 16 y - 19 y (white \| 50 \| 32% \| 0% \| 0% \| 0% \| 0% \| 0% row 9 : males \| 16 y - 19 y (black \| 310 \| 46% \| 7% \| 2.90% \| 1.30% \| 0% \| 0% row 10 : males \| 20 - 30 y (whites) \| 285 \| 41% \| 0% \| 0% \| 0% \| 0% \| 0% row 11 : males \| 20 - 30 y (blacks) \| 295 \| 37% \| 0% \| 0% \| 0% \| 0% \| 0% row 12 : females \| 12 y - 13 y \| 174 \| 69% \| 11% \| 1.20% \| 0% \| 0% \| 0% row 13 : females \| 13 y - 14 y \| 154 \| 52% \| 8.40% \| 1.40% \| 0% \| 0% \| 0% row 14 : females \| 16 y - 19 y (white \| 50 \| 66% \| 0% \| 0% \| 0% \| 0% \| 0% row 15 : females \| 16 - 19 y (blacks) \| 310 \| 73% \| 9% \| 1.30% \| 0.60% \| 0% \| 0% row 16 : females \| 20 - 30 y (whites) \| 280 \| 55% \| 0% \| 0% \| 0% \| 0% \| 0% row 17 : females \| 20 - 30 y (blacks) \| 330 \| 55% \| 2.40% \| 1% \| 0% \| 0% \| 0% ] Execute this SQL based on the above table: select count ( distinct v4 ) where v5 = '0%'	3
[ header: year \| laetare medalist \| position row 1 : 1884 \| patrick charles keely \| architect row 2 : 1889 \| anna hanson dorsey \| novelist row 3 : 1890 \| william j. onahan \| organizer of the american catholic congress row 4 : 1892 \| henry f. brownson \| philosopher and author row 5 : 1899 \| mary gwendolin caldwell \| philanthropist row 6 : 1906 \| francis j. quinlan \| physician row 7 : 1908 \| james c. monaghan \| economist row 8 : 1911 \| agnes repplier \| author row 9 : 1913 \| charles george herbermann \| editor of the catholic encyclopedia row 10 : 1916 \| james joseph wals \| physician and author row 11 : 1917 \| admiral william shepherd benson \| chief of naval operations row 12 : 1922 \| charles patrick neill \| economist row 13 : 1923 \| walter george smith \| lawyer row 14 : 1924 \| charles donagh maginnis \| architect row 15 : 1925 \| albert francis zahm \| scientist row 16 : 1927 \| margaret anglin \| actress row 17 : 1932 \| stephen j. maher \| physician row 18 : 1936 \| richard reid \| journalist and lawyer row 19 : 1941 \| william thomas wals \| journalist and author row 20 : 1942 \| helen constance white \| author and teacher row 21 : 1944 \| anne o'hare mc \| journalist row 22 : 1945 \| gardiner howland shaw \| diplomat row 23 : 1947 \| william g. bruce \| publisher and civic leader row 24 : 1950 \| general joseph l. collin \| soldier row 25 : 1952 \| thomas e. murray \| member of the u.s. atomic row 26 : 1953 \| i.a. o'sh \| philanthropist row 27 : 1956 \| general alfred m. gruent \| soldier row 28 : 1958 \| frank m. folsom \| industrialist row 29 : 1964 \| phyllis mcginley \| poet row 30 : 1966 \| patrick f. & patricia car \| founders of the christian movement row 31 : 1967 \| j. peter grace \| industrialist row 32 : 1968 \| robert sargent shriver \| diplomat row 33 : 1977 \| mike mansfield \| former senate majority leader row 34 : 1979 \| helen hayes \| actress row 35 : 1980 \| thomas p. (tip) \| speaker of the house row 36 : 1982 \| john francis cardinal dearden \| archbishop emeritus of row 37 : 1984 \| john t. noonan, j \| lawyer row 38 : 1990 \| sister thea bowman (posthumously) \| educator row 39 : 1996 \| sister helen prejean \| death penalty abolitionist row 40 : 1998 \| dr. edmund \| medical ethicist and educator row 41 : 1999 \| philip gleason \| professor emeritus of history, notre row 42 : 2008 \| martin sheen \| actor row 43 : 2009 \| not awarded (see below) \| None row 44 : 2010 \| dana gioia \| former chairman of national endowment for the arts row 45 : 2011 \| sister mary scullion, r \| social advocates ] Execute this SQL based on the above table: select position where id = 34	physician and author
[ header: year \| round \| position \| matches \| wins \| draws \| losses \| gf \| ga row 1 : 1930 to 1990 \| competed as part of yugoslav \| None \| None \| None \| None \| None \| None \| None row 2 : 1994 \| could not enter \| None \| None \| None \| None \| None \| None \| None row 3 : 1998 \| third place \| 3 \| 7 \| 5 \| 0 \| 2 \| 11 \| 5 row 4 : / 2002 \| group stage \| 23 \| 3 \| 1 \| 0 \| 2 \| 2 \| 3 row 5 : 2006 \| group stage \| 22 \| 3 \| 0 \| 2 \| 1 \| 2 \| 3 row 6 : 2010 \| did not qualify \| None \| None \| None \| None \| None \| None \| None row 7 : 2014 \| qualified \| None \| None \| None \| None \| None \| None \| None row 8 : total \| 4/5 \| None \| 13 \| 6 \| 2 \| 5 \| 15 \| 11 ] Execute this SQL based on the above table: select round where id = 1	competed as part of yugoslavia
[ header: year \| competition \| venue \| position \| notes row 1 : 1989 \| european indoor championships \| the hague, netherlands \| 10th \| None row 2 : 1989 \| world indoor championships \| budapest, hungary \| 9th \| None row 3 : 1991 \| world indoor championships \| lisbon, portugal \| 6th \| None row 4 : 1991 \| world championships \| tokyo, japan \| 5th \| 5.75 m nr row 5 : 1992 \| european indoor championships \| genoa, italy \| 5th \| None row 6 : 1993 \| world championships \| stuttgart, germany \| 11th \| None ] Execute this SQL based on the above table: select sum ( year ) where year > 1992	1993
[ header: location \| region \| coordinates (links to map & photo sources) \| population \| elevation row 1 : andahuaylas \| apurimac \| 13°39′20′′s 73° \| 17444 \| 3052 row 2 : barranca \| lima \| 10°45′00′′s 77° \| 46290 \| 64 row 3 : candarave \| tacna \| 17°16′04′′s 70°14 \| 3415 \| 3077 row 4 : checca \| cusco \| 14°28′22′′s 71° \| 3810 \| 3991 row 5 : chota \| cajamarca \| 6°33′s 78°39′ \| 14240 \| 2552 row 6 : independencia \| lima \| 11°59′24′′s 77° \| 3987 \| 390 row 7 : iquitos \| loreto \| 3°44′53′′s 73° \| 437620 \| 107 row 8 : junin \| junin \| 11°09′32′′s 75°59 \| 15320 \| 3999 row 9 : los aquijes \| ica \| 14°05′48′′s 75°41 \| 7848 \| 457 row 10 : mochumi \| lambayeque \| 6°32′49′′s 79° \| 7460 \| 151 row 11 : morrope \| lambayeque \| 6°32′30′′s 80°00 \| 6662 \| 116 row 12 : oyon \| lima \| 10°40′05′′s 76° \| 6276 \| 3553 row 13 : pangoa \| cusco \| 12°07′00′′s 73° \| 6638 \| 901 row 14 : pucallpa \| ucayali \| 8°22′45′′s 74° \| 310750 \| 158 row 15 : salaverry \| la libertad \| 8°14′00′′s 78° \| 10066 \| 70 row 16 : salinera colan \| piura \| 5°02′00′′s 81° \| 14210 \| 1 row 17 : san pedro de cachor \| apurimac \| 13°38′00′′s 72°53 \| None \| 2772 row 18 : sullana \| piura \| 4°54′14′′s 80°41 \| 160789 \| 67 row 19 : talara \| piura \| 4°34′38′′s 81° \| 99074 \| 14 ] Execute this SQL based on the above table: select coordinates (links to map & photo sources) where population < ( select population where coordinates (links to map & photo sources) = '11°09′32′′s 75°59′35′′w / 11.15889°s 75.99306°w' ) order by population desc limit 1	6°33′s 78°39′w / 6.55°s 78.65°w
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select company (country) order by 2007 rank desc limit 1	oshkosh corporation
[ header: track number \| russian title \| english title \| music \| lyrics row 1 : 1 \| улыбнись \| smile! \| vitas \| d. plachkovsky row 2 : 2 \| блаженныи гу \| blessed guru \| vitas \| vitas row 3 : 3 \| восковые фиг \| wax figures \| vitas \| d. plachkovsky, vita row 4 : 4 \| плачет чужа \| someone's melancholy is crying \| vitas \| d. plachovsky row 5 : 5 \| аве мария \| ave maria \| franz schubert \| traditional prayer row 6 : 6 \| холодныи мир \| the cold world \| v. molchanov \| d. plachkovsky row 7 : 7 \| остров затонув \| the island of sunken ships \| o. gazmanov \| e. nebylova row 8 : 8 \| фантастические \| fantastic dreams \| vitas \| vitas, d. plachkov row 9 : 9 \| good-bye \| good-bye \| vitas \| vitas row 10 : 10 \| счастье \| happiness \| vitas \| vitas row 11 : 11 \| отцвели хриз \| chrysanthemums have fade \| n. harito \| v. shumsky row 12 : 12 \| дождь в тб \| rain in tbilisi \| vitas \| ratner row 13 : 13 \| слепои худо \| blind painter \| vitas \| d. plachkovsky, vita row 14 : 14 \| милая музыка \| lovely music \| vitas \| vitas row 15 : 15 \| белоруссия \| byelorussia \| alexandra pakhmutova \| n. dobronravov row 16 : 16 \| до свидания \| see you later (do svidani \| vitas \| vitas ] Execute this SQL based on the above table: select music where english title = 'ave maria'	franz schubert
[ header: from \| to \| name \| party \| position row 1 : 1850 \| 1862 \| m. borgarelli d' \| None \| colonel of infantry e.r row 2 : 1862 \| 1869 \| jules alfred le tourneur du \| None \| first secretary for the minister of finance row 3 : 1869 \| 1903 \| stanislas le tourneur d \| None \| attached to the taxation administration of france row 4 : None \| None \| yves le tourneur d' \| None \| doctor of juridical science row 5 : 1966 \| 1989 \| maurice lecoq \| None \| market gardener row 6 : 1989 \| 2008 \| michel deuzet \| se \| farmer row 7 : 2008 \| 2014 \| patrice martin \| se \| bank officer ] Execute this SQL based on the above table: select count ( party ) where to < 1011	0
[ header: rank \| athlete \| country \| time \| notes row 1 : None \| yevgeny kulikov \| soviet union \| 39.17 \| or row 2 : None \| valery muratov \| soviet union \| 39.25 \| None row 3 : None \| dan immerfall \| united states \| 39.54 \| None row 4 : 4 \| mats wallberg \| sweden \| 39.56 \| None row 5 : 5 \| peter mueller \| united states \| 39.57 \| None row 6 : 6 \| jan bazen \| netherlands \| 39.78 \| None row 7 : 6 \| arnulf sunde \| norway \| 39.78 \| None row 8 : 8 \| andrey malikov \| soviet union \| 39.85 \| None row 9 : 9 \| oloph granath \| sweden \| 39.93 \| None row 10 : 10 \| jim chapin \| united states \| 40.09 \| None row 11 : 11 \| tom overend \| canada \| 40.22 \| None row 12 : 11 \| masaki suzuki \| japan \| 40.22 \| None row 13 : 13 \| johan granath \| sweden \| 40.25 \| None row 14 : 14 \| gaetan boucher \| canada \| 40.53 \| None row 15 : 15 \| pertti niittyla \| finland \| 40.65 \| None row 16 : 16 \| norio hirate \| japan \| 40.85 \| None row 17 : 16 \| archie marshall \| great britain \| 40.85 \| None row 18 : 18 \| mikio oyama \| japan \| 40.9 \| None row 19 : 19 \| hans van helden \| netherlands \| 40.91 \| None row 20 : 19 \| emmanuel michon \| france \| 40.91 \| None row 21 : 21 \| kay arne stenshj \| norway \| 40.94 \| None row 22 : 22 \| lee yeong-ha \| south korea \| 41.08 \| None row 23 : 23 \| bruno toniolli \| italy \| 41.44 \| None row 24 : 24 \| harald oehme \| east germany \| 41.54 \| None row 25 : 25 \| colin coates \| australia \| 41.77 \| None row 26 : 26 \| berend schabus \| austria \| 42.33 \| None row 27 : 27 \| heinz steinberger \| austria \| 43.28 \| None row 28 : 28 \| jan egil storholt \| norway \| 18 \| None row 29 : None \| horst freese \| west germany \| dnf \| None ] Execute this SQL based on the above table: select count ( country ) where country != 'japan' and time = ( select time where country = 'japan' )	1
[ header: draw \| country \| language \| artist \| song \| english translation \| place \| points row 1 : 1 \| belgium \| dutch \| bobbejaan schoepen \| "straatdeuntje" \| street tune \| 8 \| 5 row 2 : 2 \| luxembourg \| french \| daniele dupre \| "amours mortes (tant de peine \| dead love (so much sorrow) \| 4 \| 8 row 3 : 3 \| united kingdom \| english \| patricia bredin \| "all" \| None \| 7 \| 6 row 4 : 4 \| italy \| italian \| nunzio gallo \| "corde della mia chi \| strings of my guitar \| 6 \| 7 row 5 : 5 \| austria \| german \| bob martin \| "wohin, kleines pony?" \| where to, little pony? \| 10 \| 3 row 6 : 6 \| netherlands \| dutch \| corry brokken \| "net als toen" \| just like then \| 1 \| 31 row 7 : 7 \| germany \| german \| margot hielscher \| "telefon, telefon" \| telephone, telephone \| 4 \| 8 row 8 : 8 \| france \| french \| paule desjardins \| "la belle amour" \| beautiful love \| 2 \| 17 row 9 : 9 \| denmark \| danish \| birthe wilke & gusta \| "skibet skal sejle \| the ship will sail tonight \| 3 \| 10 row 10 : 10 \| switzerland \| french \| lys assia \| "l'enfant que j'et \| the child i was \| 8 \| 5 ] Execute this SQL based on the above table: select count ( * ) where language = 10	0
[ header: country \| url \| opening date \| closing date row 1 : australia (links to habbo english due \| habbo.com.au \| november 2004 \| june 2, 2010 row 2 : austria (links to habbo \| habbo.at \| may 2006 \| None row 3 : belgium (links to habb \| habbo.be \| may 2006 \| None row 4 : brazil \| habbo.com.br habb \| february 2006 april 2012 \| None row 5 : canada (links to habbo english due \| habbo.ca \| june 2004 \| may 5, 2010 row 6 : chile (links to habbo \| habbo.cl \| july 2006 \| None row 7 : people's republic of china (closed/ \| habbo.cn \| july 2006 \| august 24, 2007 row 8 : colombia (links to habb \| habbo.com.co \| july 2006 \| None row 9 : denmark \| habbo.dk \| december 2004 \| None row 10 : ecuador (links to habb \| habbo.es \| None \| None row 11 : france \| habbo.fr \| november 2004 \| None row 12 : germany \| habbo.de \| march 2004 \| None row 13 : italy \| habbo.it \| september 2003 \| None row 14 : japan (links to english) \| habbo.jp \| february 2003 \| april 16, 2009 row 15 : netherlands \| habbo.nl \| february 2004 \| None row 16 : peru (links to habbo spa \| habbo.com.pe \| None \| None row 17 : english-language uk & ie \| habbo.com \| may 5, 2010 \| None row 18 : turkey \| habbo.com.tr \| august 2012 \| None row 19 : malaysia (links to habb \| habbo.com.my \| july 2006 \| None row 20 : netherlands \| habbo.nl \| february 2004 \| None row 21 : norway \| habbo.no \| june 2004 \| None row 22 : russia (used to link to the habb \| habbo.ru \| september 2007 \| february 6, 2009 row 23 : paraguay (links to habb \| habbo.es \| None \| None row 24 : spain \| habbo.es \| september 2003 \| None row 25 : sweden \| habbo.se \| december 2003 \| None row 26 : switzerland (links to hab \| habbo.ch \| august 2001 \| october 4, 2010 row 27 : united states (links to habbo english \| habbo.com \| september 2004 \| june 10, 2010 row 28 : uk & ireland (link \| habbo.co.uk habbo \| january 4, 2001 \| june 10, 2010 row 29 : poland (links to habbo \| habbo.com \| february 2011 \| january 2012 row 30 : panama (links to habbo \| habbo.es \| None \| None ] Execute this SQL based on the above table: select count ( * ) where closing date >= 2 * country	9
[ header: date \| round \| opponent \| venue \| result \| attendance \| scorers row 1 : 16 september 1992 \| r1 \| lyngby \| h \| 2-0 \| 40036 \| hateley, huistra row 2 : 30 september 1992 \| r1 \| lyngby \| a \| 1-0 \| 4273 \| durrant row 3 : 21 october 1992 \| r2 \| leeds united \| h \| 2-1 \| 43251 \| mccoist, lukic row 4 : 4 november 1992 \| r2 \| leeds united \| a \| 2-1 \| 25118 \| hateley, mccoist row 5 : 25 november 1992 \| gs \| marseille \| h \| 2-2 \| 41624 \| mcswegan, hateley row 6 : 9 december 1992 \| gs \| cska moscow \| a \| 1-0 \| 9000 \| ferguson row 7 : 3 march 1993 \| gs \| club brugge \| a \| 1-1 \| 19000 \| huistra row 8 : 17 march 1993 \| gs \| club brugge \| h \| 2-1 \| 42731 \| durrant, nisbet row 9 : 7 april 1993 \| gs \| marseille \| a \| 1-1 \| 46000 \| durrant row 10 : 21 april 1993 \| gs \| cska moscow \| h \| 0-0 \| 43142 \| None ] Execute this SQL based on the above table: select count ( venue ) where attendance = 43251	1
[ header: year \| title \| label \| uk singles chart \| u.s. billboard hot 100 chart row 1 : 1969 \| "melting pot" \| philips \| 3 \| None row 2 : 1970 \| "good morning freedom" \| philips \| 10 \| None row 3 : 1970 \| "our world" \| philips \| 17 \| 64 row 4 : 1971 \| "the banner man" \| regal zonophone \| 3 \| None row 5 : 1972 \| "stay with me" \| regal zonophone \| 11 \| None row 6 : 1973 \| "by the devil (i was tempted \| emi \| 26 \| None row 7 : 1973 \| "randy" \| emi \| 9 \| None ] Execute this SQL based on the above table: select title where title in ( '"good morning freedom"' , '"good morning freedom"' )	"good morning freedom"
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| united states \| 5 \| 6 \| 5 \| 16 row 2 : 2 \| jamaica \| 4 \| 1 \| 1 \| 6 row 3 : 3 \| netherlands \| 2 \| 0 \| 0 \| 2 row 4 : 4 \| bahamas \| 1 \| 1 \| 0 \| 2 row 5 : 5 \| ukraine \| 1 \| 0 \| 1 \| 2 row 6 : 6 \| east germany \| 1 \| 0 \| 0 \| 1 row 7 : 6 \| greece \| 1 \| 0 \| 0 \| 1 row 8 : 6 \| soviet union \| 1 \| 0 \| 0 \| 1 row 9 : 9 \| ivory coast \| 0 \| 2 \| 0 \| 2 row 10 : 9 \| united kingdom \| 0 \| 2 \| 0 \| 2 row 11 : 11 \| belgium \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| bulgaria \| 0 \| 1 \| 0 \| 1 row 13 : 12 \| russia \| 0 \| 1 \| 0 \| 1 row 14 : 12 \| germany \| 0 \| 1 \| 0 \| 1 row 15 : 15 \| canada \| 0 \| 0 \| 2 \| 2 row 16 : 15 \| france \| 0 \| 0 \| 2 \| 2 row 17 : 17 \| belarus \| 0 \| 0 \| 1 \| 1 row 18 : 17 \| cuba \| 0 \| 0 \| 1 \| 1 row 19 : 17 \| gabon \| 0 \| 0 \| 1 \| 1 row 20 : 17 \| british virgin islands \| 0 \| 0 \| 1 \| 1 row 21 : total \| total \| 16 \| 16 \| 16 \| 48 ] Execute this SQL based on the above table: select count ( nation ) where rank = 0	0
[ header: name of place \| counties \| principal county \| lower zip code row 1 : campbell hall \| 1 \| orange county \| 10916 row 2 : canaan \| 1 \| columbia county \| 12029 row 3 : canajoharie \| 1 \| montgomery county \| None row 4 : canoe place \| 1 \| suffolk county \| 11946 row 5 : careys corners \| 1 \| oneida county \| None row 6 : carman \| 1 \| schenectady county \| 12303 row 7 : carpenters corners \| 1 \| fulton county \| None row 8 : cass \| 1 \| erie county \| 14206 row 9 : castle point \| 1 \| dutchess county \| 12511 row 10 : catfish corners \| 1 \| oswego county \| None row 11 : catskill (town) \| 1 \| greene county \| 12414 row 12 : cayuta \| 1 \| schuyler county \| 14824 row 13 : cedar hill \| 1 \| albany county \| 12158 row 14 : cedarville station \| 1 \| herkimer county \| None row 15 : central nyack \| 1 \| rockland county \| 10960 row 16 : chase lake \| 1 \| lewis county \| 13343 row 17 : chelsea \| 1 \| dutchess county \| 12512 row 18 : chemung \| 1 \| chemung county \| None row 19 : chili junction \| 1 \| monroe county \| None row 20 : chittenango springs \| 1 \| madison county \| None row 21 : churchville \| 1 \| monroe county \| 14428 row 22 : clarkson \| 1 \| monroe county \| 14430 row 23 : claverack \| 1 \| columbia county \| None row 24 : clifton heights \| 1 \| erie county \| 14085 row 25 : clinton county airport \| 1 \| clinton county \| None row 26 : coldbrook \| 1 \| erie county \| 14072 row 27 : colemans mills \| 1 \| oneida county \| 13492 row 28 : coleman station \| 1 \| dutchess county \| None row 29 : colonial acres \| 1 \| albany county \| 12077 row 30 : colonial acres \| 1 \| westchester county \| 10583 row 31 : columbus quarter \| 1 \| chenango county \| None row 32 : como \| 1 \| cayuga county \| None row 33 : congers \| 1 \| rockland county \| 10920 row 34 : connelly park \| 1 \| chautauqua county \| 14710 row 35 : conquest \| 1 \| cayuga county \| None row 36 : cooperstown junction \| 1 \| otsego county \| 12116 row 37 : craterclub \| 1 \| essex county \| 12936 row 38 : crescent beach \| 1 \| monroe county \| 14612 row 39 : crestwood \| 1 \| westchester county \| 10707 row 40 : crestwood \| 1 \| westchester county \| None row 41 : crittenden \| 1 \| erie county \| 14038 row 42 : croghan \| 1 \| lewis county \| 13327 row 43 : croghan \| 1 \| lewis county \| None ] Execute this SQL based on the above table: select min ( lower zip code ) where name of place = 'croghan'	13327.0
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select place where id = ( select id where place = '9th' ) + 1	2nd
[ header: year \| single \| chart positions usa billboard hot dance club play \| chart positions polish charts \| album row 1 : 2008 \| "fall" \| None \| 2 \| natalia lesz row 2 : 2008 \| "power of attraction" \| 24 \| 5 \| natalia lesz row 3 : 2008 \| "miss you" \| None \| None \| natalia lesz row 4 : 2009 \| "cos za cos" \| None \| 1 \| that girl row 5 : 2010 \| "arabesque" \| 53 \| None \| natalia lesz row 6 : 2010 \| "radioactive" \| None \| 107 \| None row 7 : 2010 \| "that girl" \| None \| 7 \| that girl row 8 : 2012 \| "beat of my heart" \| None \| 98 \| that girl ] Execute this SQL based on the above table: select single where single = '"beat of my heart"' and year > ( select year where single = '"cos za cos"' )	"beat of my heart"
[ header: ship \| built \| in service for cunard \| type \| tonnage \| notes row 1 : queen mary \| 1936 \| 1936-1967 \| express \| 80,750 grt \| blue riband, sold 1967, now row 2 : mauretania \| 1939 \| 1939-1965 \| express \| 37,750 grt \| scrapped 1965 row 3 : queen elizabeth \| 1940 \| 1946-1968 \| express \| 83,650 grt \| wwii troopship 1940-1945 row 4 : media \| 1947 \| 1947-1961 \| cargo liner \| 13,350 grt \| sold to cogedar line 1961, scrapped row 5 : parthia \| 1947 \| 1947-1961 \| cargo liner \| 13,350 grt \| sold to p&o 1961, re row 6 : caronia \| 1949 \| 1949-1968 \| cruise \| 34,200 grt \| sold 1968, wrecked 1974 row 7 : britannic \| 1929 \| 1950-1960 \| intermediate \| 26,943 grt \| built for white star line, scrapped 1960 row 8 : georgic \| 1932 \| 1950-1956 \| intermediate \| 27,759 grt \| built for white star line, scrapped 1956 row 9 : saxonia carmania \| 1954 \| 1954-1962 1962-1973 \| intermediate cruise \| 21,637 grt 21,370 grt \| sold to the black sea shipping company, sovie row 10 : ivernia franconia \| 1955 \| 1955-1963 1963-1973 \| intermediate cruise \| 21,800 grt \| sold to the far eastern shipping company, sovie row 11 : carinthia \| 1956 \| 1956-1968 \| intermediate \| 21,800 grt \| sold to sitmar line 1968, scrapped 2005 row 12 : sylvania \| 1957 \| 1957-1968 \| intermediate \| 21,800 grt \| sold to sitmar line 1968, scrapped 2004 row 13 : alaunia \| 1960 \| 1960-1969 \| cargo liner \| 7,004 grt \| sold to brocklebank line in 1969 row 14 : queen elizabeth 2 \| 1969 \| 1969-2008 \| express \| 70,300 grt \| sold 2008, laid up in port rashi row 15 : atlantic causeway \| 1969 \| 1970-1986 \| container ship \| 14,950 grt \| scrapped in 1986 row 16 : atlantic conveyor \| 1970 \| 1970-1982 \| container ship \| 14,946 grt \| sunk in falklands war 1982 ] Execute this SQL based on the above table: select type where built not null order by built desc limit 1	container ship
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| russia (rus) \| 3 \| 1 \| 1 \| 5 row 2 : 2 \| canada (can) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| germany (ger) \| 1 \| 3 \| 2 \| 6 row 4 : 4 \| france (fra) \| 0 \| 1 \| 2 \| 3 row 5 : 5 \| belarus (blr) \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| ukraine (ukr) \| 0 \| 0 \| 1 \| 1 row 7 : None \| total \| 6 \| 6 \| 6 \| 18 ] Execute this SQL based on the above table: select nation order by rank limit 37	total, russia (rus), canada (can), germany (ger), france (fra), belarus (blr), ukraine (ukr)
[ header: year \| english title \| japanese \| romanization \| type row 1 : 1991 \| (toppu! minipato ta \| 突風! ミニハト隊アイキャッチ・シャンクション \| toppu! minipato tai \| video row 2 : 1991 \| (redi hanta: kor \| レティハンター殺しのフレュート \| redi hanta: koro \| video row 3 : 1995 \| (daisan no gokudo \| 第三の極道 \| daisan no gokudo \| video row 4 : 1995 \| osaka tough guys \| なにわ遊侠伝 \| naniwa yukyo \| video row 5 : 1996 \| the way to fight \| 喧嘩の花道大阪最強伝説 \| kenka no hanamichi: \| video row 6 : 1997 \| full metal yakuza \| full metal 極道 \| full metal gokudo \| video row 7 : 1998 \| the bird people in china \| 中国の鳥人 \| chugoku no chojin \| film row 8 : 1998 \| blues harp \| blues harp \| None \| film row 9 : 1999 \| man, a natural girl \| 天然少女萬 \| tennen shojo man \| tv row 10 : 1999 \| ley lines \| 日本黒社会 \| nihon kuroshaka \| film row 11 : 1999 \| salaryman kintaro white collar worker \| サラリーマン金太郎 \| sarariiman kintaro \| film row 12 : 2000 \| the making of 'gemini' \| (unknown) \| tsukamoto shin' \| tv documentary row 13 : 2001 \| ichi the killer \| 殺し屋1 \| koroshiya 1 \| film row 14 : 2002 \| dead or alive: final \| dead or alive final \| None \| film row 15 : 2002 \| (onna kunishu ikk \| おんな国衆一揆 \| onna kunishu ikk \| (unknown) row 16 : 2003 \| koshonin \| 交渉人 \| koshonin \| tv row 17 : 2004 \| zebraman \| セフラーマン \| zeburaman \| film row 18 : 2006 \| big bang love, juvenile a 4.6 \| 46億年の恋 \| 46-okunen no koi \| film row 19 : 2006 \| imprint episode from masters of horror \| インフリント ~ほっけえ、きょうてえ~ \| inpurinto ~bokke ky \| tv episode row 20 : 2006 \| waru: kanketsu-hen \| None \| waru: kanketsu-hen \| video row 21 : 2009 \| crows zero 2 \| クロースzero 2 \| kurozu zero 2 \| film row 22 : 2011 \| hara-kiri: death of a \| 一命 \| ichimei \| film row 23 : 2012 \| ace attorney \| 逆転裁判 \| gyakuten saiban \| film row 24 : 2013 \| shield of straw \| 藁の楯 \| wara no tate \| film ] Execute this SQL based on the above table: select abs ( ( select year where type = 'film' ) - ( select year where type = 'video' ) )	7
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select count ( role ) where notes = 'None'	0
[ header: rank \| wrestler \| no. of reigns \| combined defenses \| combined days row 1 : 1 \| matt jackson \| 3 \| 25 \| 1386 row 2 : 1 \| nick jackson \| 3 \| 25 \| 1386 row 3 : 3 \| el generico \| 5 \| 12 \| 637 row 4 : 4 \| super dragon \| 6 \| 3 \| 609 row 5 : 5 \| scott lost \| 5 \| 14 \| 578 row 6 : 6 \| chris bosh \| 3 \| 11 \| 433 row 7 : 7 \| paul london \| 1 \| 5 \| 335 row 8 : 8 \| davey richards \| 3 \| 1 \| 324 row 9 : 9 \| kevin steen \| 3 \| 4 \| 315 row 10 : 10 \| player uno \| 1 \| 2 \| 232 row 11 : 10 \| stupefied \| 1 \| 2 \| 232 row 12 : 12 \| joey ryan \| 3 \| 3 \| 165 row 13 : 13 \| roderick strong \| 3 \| 1 \| 121 row 14 : 14 \| quicksilver \| 3 \| 2 \| 120 row 15 : 15 \| b-boy \| 3 \| 1 \| 84 row 16 : 16 \| pac \| 1 \| 1 \| 71 row 17 : 17 \| excalibur \| 1 \| 1 \| 63 row 18 : 18 \| human tornado \| 1 \| 1 \| 56 row 19 : 18 \| jimmy jacobs \| 1 \| 0 \| 56 row 20 : 18 \| tyler black \| 1 \| 0 \| 56 row 21 : 21 \| jack evans \| 1 \| 0 \| 49 row 22 : 22 \| homicide \| 1 \| 0 \| 28 row 23 : 23 \| scorpio sky \| 1 \| 0 \| 1 row 24 : 24 \| brian cage \| 1 \| 0 \| <1 row 25 : 24 \| michael elgin \| 1 \| 0 \| <1 ] Execute this SQL based on the above table: select wrestler where wrestler != 'scott lost' order by rank desc limit 1	brian cage
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select time (s) order by time (s) desc limit 1	7.183
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select count ( led the league in rebounding ) where def <= 1358 or blocks <= 1358	13
[ header: tie \| home team \| score \| away team \| attendance row 1 : 1 \| aylesbury united \| 2-2 \| windsor & eton \| 847 row 2 : 2 \| burscough \| 5-0 \| wakefield & emley \| 437 row 3 : 3 \| dover athletic \| 0-3 \| forest green roves \| 932 row 4 : 4 \| farnborough town \| 2-0 \| halifax town \| 863 row 5 : 5 \| gloucester city \| 1-1 \| southport \| 1,237 row 6 : 6 \| havant & waterlooville \| 3-0 \| hayes \| 456 row 7 : 7 \| margate \| 0-2 \| tamworth \| 971 row 8 : 8 \| yeovil town \| 2-1 \| northwich victoria \| 4,469 ] Execute this SQL based on the above table: select attendance where id = ( select id where attendance = 932 ) + 1	863
[ header: name \| club \| position \| years \| current status \| international caps row 1 : frank farina \| sydney fc \| fw \| 1982-83 \| coaching \| 67 row 2 : robbie hooker \| None \| df \| 1984-85 \| coaching \| 22 row 3 : jason polak \| None \| mf \| 1985-87 \| retired \| 28 row 4 : jason van blerk \| None \| mf \| 1986 \| coaching \| 33 row 5 : ned zelic \| None \| df \| 1988 \| media \| 34 row 6 : shaun murphy \| None \| df \| 1988 \| retired \| 27 row 7 : kevin muscat \| melbourne victory \| df \| 1990-91 \| coaching \| 51 row 8 : goran lozanovski \| None \| mf \| 1990-91 \| retired \| 9 row 9 : josip skoko \| None \| mf \| 1992-93 \| coaching \| 51 row 10 : mark viduka \| None \| fw \| 1992-93 \| retired \| 43 row 11 : lucas neill \| sydney fc \| df \| 1994-95 \| playing \| 89 row 12 : vince grella \| None \| mf \| 1996 \| retired \| 46 row 13 : simon colosimo \| melbourne heart \| df \| 1996-97 \| playing \| 26 row 14 : mile sterjovski \| central coast mariners \| mf \| 1996-98 \| playing \| 43 row 15 : ljubo milicevic \| free agent \| df \| 1997-98 \| playing \| 8 row 16 : luke wilkshire \| fc dynamo moscow \| mf \| 1997-98 \| playing \| 74 row 17 : jade north \| brisbane roar \| df \| 1999 \| playing \| 39 row 18 : nathan coe \| melbourne victory \| gk \| 2000-01 \| playing \| 3 row 19 : alex brosque \| al ain fc \| fw \| 2001 \| playing \| 7 row 20 : carl valeri \| sassuolo \| mf \| 2001-02 \| playing \| 50 row 21 : adam federici \| reading \| gk \| 2001-02 \| playing \| 8 row 22 : mark milligan \| melbourne victory \| df \| 2002 \| playing \| 19 row 23 : robbie kruse \| fortuna dusseldorf \| fw \| 2005-06 \| playing \| 21 row 24 : mitchell langerak \| borussia dortmund \| gk \| 2005-06 \| playing \| 0 row 25 : bruce djite \| adelaide united \| fw \| 2006 \| playing \| 9 row 26 : matthew spiranovic \| western sydney wanderers \| df \| 2006 \| playing \| 16 row 27 : nathan burns \| newcastle jets \| mf \| 2006 \| playing \| 7 row 28 : apostolos giannou \| platanias \| fw \| 2007 \| playing \| 0 row 29 : terry antonis \| sydney fc \| mf \| 2009 \| playing \| 0 row 30 : kerem bulut \| akhisar belediyespor \| fw \| 2009 \| playing \| 0 ] Execute this SQL based on the above table: select international caps order by international caps desc limit 1	89.0
[ header: district \| area size (km2) \| population \| density per km2 row 1 : yamato flat inland plain \| 837.27 \| 1,282 \| 1,531 row 2 : (share in %) \| 22.7% \| 89.7% \| None row 3 : yamato highland \| 506.89 \| 56 \| 110 row 4 : (share in %) \| 13.7% \| 3.9% \| None row 5 : gojo, yoshino \| 2,346.84 \| 92 \| 39 row 6 : (share in %) \| 63.6% \| 6.4% \| None row 7 : total prefecture \| 3,691.09 \| 1,430 \| 387 row 8 : (share in %) \| 100.0% \| 100.0% \| None ] Execute this SQL based on the above table: select area size (km2) where id = ( select id where area size (km2) = '837.27' ) + 1	22.7%
[ header: chord \| root \| major third \| perfect fifth \| minor seventh row 1 : c7 \| c \| e \| g \| b♭ row 2 : c♯7 \| c♯ \| e♯ (f) \| g♯ \| b row 3 : d♭7 \| d♭ \| f \| a♭ \| c♭ (b) row 4 : d7 \| d \| f♯ \| a \| c row 5 : d♯7 \| d♯ \| f (g) \| a♯ \| c♯ row 6 : e♭7 \| e♭ \| g \| b♭ \| d♭ row 7 : e7 \| e \| g♯ \| b \| d row 8 : f7 \| f \| a \| c \| e♭ row 9 : f♯7 \| f♯ \| a♯ \| c♯ \| e row 10 : g♭7 \| g♭ \| b♭ \| d♭ \| f♭ (e) row 11 : g7 \| g \| b \| d \| f row 12 : g♯7 \| g♯ \| b♯ (c) \| d♯ \| f♯ row 13 : a♭7 \| a♭ \| c \| e♭ \| g♭ row 14 : a7 \| a \| c♯ \| e \| g row 15 : a♯7 \| a♯ \| c (d) \| e♯ (f) \| g♯ row 16 : b♭7 \| b♭ \| d \| f \| a♭ row 17 : b7 \| b \| d♯ \| f♯ \| a ] Execute this SQL based on the above table: select count ( chord ) where perfect fifth < 287	0
[ header: date \| winner \| runner-up \| result \| site \| attendance row 1 : february 11, 1978 \| #2 maryland \| #1 nc state \| 89-82 \| charlottesville, virginia \| 1500 row 2 : february 10, 1979 \| #1 maryland \| #2 nc state \| 75-73 \| raleigh, north carolina \| 3500 row 3 : february 10, 1980 \| #1 nc state \| #2 maryland \| 85-75 \| college park, maryland \| None row 4 : february 14, 1981 \| #3 maryland \| #4 nc state \| 64-63 \| clemson, south carolina \| 300 row 5 : march 6, 1983 \| #3 maryland \| #1 nc state \| 84-81 \| fayetteville, north carolin \| 2134 row 6 : march 4, 1984 \| #5 north carolina \| #3 nc state \| 99-76 \| fayetteville, north carolin \| 3733 row 7 : march 3, 1986 \| #5 maryland \| #2 north carolina \| 92-74 \| fayetteville, north carolin \| 2632 row 8 : march 2, 1987 \| #2 nc state \| #1 virginia \| 57-56 \| fayetteville, north carolin \| 2987 row 9 : march 7, 1988 \| #2 maryland \| #1 virginia \| 76-70 \| fayetteville, north carolin \| 1223 row 10 : march 4, 1991 \| #3 nc state \| #4 clemson \| 84-61 \| fayetteville, north carolin \| 4102 row 11 : march 9, 1992 \| #1 virginia \| #7 georgia tech \| 70-69 \| rock hill, south carolina \| 4154 row 12 : march 8, 1993 \| #1 virginia \| #2 maryland \| 106-103 3ot \| rock hill, south carolina \| 3716 row 13 : march 7, 1994 \| #2 north carolina \| #1 virginia \| 77-60 \| rock hill, south carolina \| 4386 row 14 : march 5, 1995 \| #2 north carolina \| #4 duke \| 95-70 \| rock hill, south carolina \| 5724 row 15 : march 2, 1997 \| #1 north carolina \| #6 clemson \| 62-58 \| charlotte, north carolina \| 5543 row 16 : march 1, 1998 \| #4 north carolina \| #2 clemson \| 81-50 \| charlotte, north carolina \| 5534 row 17 : march 5, 2001 \| #1 duke \| #3 nc state \| 57-45 \| greensboro, north carolina \| 8933 row 18 : march 4, 2002 \| #1 duke \| #2 north carolina \| 87-80 \| greensboro, north carolina \| 9204 row 19 : march 10, 2003 \| #1 duke \| #2 north carolina \| 77-59 \| greensboro, north carolina \| 11127 row 20 : march 7, 2005 \| #1 north carolina \| #2 duke \| 88-67 \| greensboro, north carolina \| 11578 row 21 : march 5, 2006 \| #1 north carolina \| #3 maryland \| 91-80 \| greensboro, north carolina \| 10746 row 22 : march 4, 2007 \| #2 north carolina \| #4 nc state \| 60-54 \| greensboro, north carolina \| 11538 row 23 : march 9, 2008 \| #1 north carolina \| #3 duke \| 86-73 \| greensboro, north carolina \| 11132 row 24 : march 7, 2010 \| #1 duke \| #6 nc state \| 70-60 \| greensboro, north carolina \| 9432 row 25 : march 6, 2011 \| #1 duke \| #6 north carolina \| 81-67 \| greensboro, north carolina \| 9890 row 26 : march 4, 2012 \| #3 maryland \| #4 georgia tech \| 68-65 \| greensboro, north carolina \| 9122 row 27 : march 10, 2013 \| #1 duke \| #3 north carolina \| 92-73 \| greensboro, north carolina \| 8166 ] Execute this SQL based on the above table: select count ( * ) where winner = '#1 duke'	6
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| nigel mansell \| williams-renault \| 65 \| 1:56:10.674 \| 1 \| 10 row 2 : 2 \| 19 \| michael schumacher \| benetton-ford \| 65 \| + 23.914 \| 2 \| 6 row 3 : 3 \| 27 \| jean alesi \| ferrari \| 65 \| + 26.462 \| 8 \| 4 row 4 : 4 \| 2 \| gerhard berger \| mclaren-honda \| 65 \| + 1:20.647 \| 7 \| 3 row 5 : 5 \| 9 \| michele alboreto \| footwork-mugen-honda \| 64 \| + 1 lap \| 16 \| 2 row 6 : 6 \| 22 \| pierluigi martini \| dallara-ferrari \| 63 \| + 2 laps \| 13 \| 1 row 7 : 7 \| 10 \| aguri suzuki \| footwork-mugen-honda \| 63 \| + 2 laps \| 19 \| None row 8 : 8 \| 16 \| karl wendlinger \| march-ilmor \| 63 \| + 2 laps \| 9 \| None row 9 : 9 \| 1 \| ayrton senna \| mclaren-honda \| 62 \| spun off \| 3 \| None row 10 : 10 \| 28 \| ivan capelli \| ferrari \| 62 \| spun off \| 5 \| None row 11 : 11 \| 23 \| christian fittipaldi \| minardi-lamborghini \| 61 \| + 4 laps \| 22 \| None row 12 : 12 \| 17 \| paul belmondo \| march-ilmor \| 61 \| + 4 laps \| 23 \| None row 13 : ret \| 21 \| jj lehto \| dallara-ferrari \| 56 \| spun off \| 12 \| None row 14 : ret \| 15 \| gabriele tarquini \| fondmetal-ford \| 56 \| spun off \| 18 \| None row 15 : ret \| 11 \| mika hakkinen \| lotus-ford \| 56 \| spun off \| 21 \| None row 16 : ret \| 26 \| erik comas \| ligier-renault \| 55 \| spun off \| 10 \| None row 17 : ret \| 29 \| bertrand gachot \| larrousse-lamborghini \| 35 \| engine \| 24 \| None row 18 : ret \| 3 \| olivier grouillard \| tyrrell-ilmor \| 30 \| spun off \| 15 \| None row 19 : ret \| 24 \| gianni morbidelli \| minardi-lamborghini \| 26 \| handling \| 25 \| None row 20 : ret \| 33 \| mauricio gugelmin \| jordan-yamaha \| 24 \| spun off \| 17 \| None row 21 : ret \| 14 \| andrea chiesa \| fondmetal-ford \| 22 \| spun off \| 20 \| None row 22 : ret \| 6 \| riccardo patrese \| williams-renault \| 19 \| spun off \| 4 \| None row 23 : ret \| 12 \| johnny herbert \| lotus-ford \| 13 \| spun off \| 26 \| None row 24 : ret \| 25 \| thierry boutsen \| ligier-renault \| 11 \| engine \| 14 \| None row 25 : ret \| 20 \| martin brundle \| benetton-ford \| 4 \| spun off \| 6 \| None row 26 : ret \| 4 \| andrea de cesaris \| tyrrell-ilmor \| 2 \| engine \| 11 \| None row 27 : dnq \| 30 \| ukyo katayama \| larrousse-lamborghini \| None \| None \| None \| None row 28 : dnq \| 32 \| stefano modena \| jordan-yamaha \| None \| None \| None \| None row 29 : dnpq \| 34 \| roberto moreno \| moda-judd \| None \| None \| None \| None ] Execute this SQL based on the above table: select pos where constructor >= 'jordan-yamaha' and pos <= 'benetton-ford'	1, 4, 8, 9, 11, 12
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select bike where no = 57	ducati 999 f07
[ header: institution \| location \| nickname \| founded \| historical affiliation \| enrollment \| primary conference row 1 : brown university \| providence, rhode island \| bears \| 1764 \| nonsectarian, founded by bapt \| 7744 \| ivy league row 2 : clarkson university \| potsdam, new york \| golden knights \| 1896 \| private/non-sectarian \| 3100 \| liberty league (d-iii) row 3 : colgate university \| hamilton, new york \| raiders \| 1819 \| private/non-sectarian, founded \| 2800 \| patriot league row 4 : cornell university \| ithaca, new york \| big red \| 1865 \| private/non-sectarian \| 20400 \| ivy league row 5 : dartmouth college \| hanover, new hampshire \| big green \| 1769 \| private/congregationalist \| 5753 \| ivy league row 6 : harvard university \| cambridge, massachusetts \| crimson \| 1636 \| private/unitarian \| 20042 \| ivy league row 7 : princeton university \| princeton, new jersey \| tigers \| 1746 \| nonsectarian, but founded by pres \| 6677 \| ivy league row 8 : quinnipiac university \| hamden, connecticut \| bobcats \| 1929 \| private/non-sectarian \| 7700 \| maac row 9 : rensselaer polytechnic institute \| troy, new york \| engineers \| 1824 \| private/non-sectarian \| 6376 \| liberty league (d-iii) row 10 : st. lawrence university \| canton, new york \| saints \| 1856 \| non-denominational, founded by universal \| 2100 \| liberty league (d-iii) row 11 : union college \| schenectady, new york \| dutchmen \| 1795 \| private/non-sectarian \| 2100 \| liberty league (d-iii) row 12 : yale university \| new haven, connecticut \| bulldogs \| 1701 \| private/congregationalist \| 11483 \| ivy league ] Execute this SQL based on the above table: select founded where founded in ( 1819 , 1819 ) group by founded order by count ( historical affiliation ) desc limit 1	1819
[ header: match \| date \| round \| home/away \| opponent team \| score \| scorers row 1 : 1 \| 17 september 2007 \| group stage \| home \| benfica \| 2-1 \| pirlo 9', inzaghi row 2 : 2 \| 3 october 2007 \| group stage \| away \| celtic \| 2-1 \| kaka 68' (pen.) row 3 : 3 \| 24 october 2007 \| group stage \| home \| shakhtar donetsk \| 4-1 \| gilardino 6', 14 row 4 : 4 \| 6 november 2007 \| group stage \| away \| shakhtar donetsk \| 0-3 \| inzaghi 66', 90+3 row 5 : 5 \| 28 november 2007 \| group stage \| away \| benfica \| 1-1 \| pirlo 15' row 6 : 6 \| 4 december 2007 \| group stage \| home \| celtic \| 1-0 \| inzaghi 70' row 7 : 7 \| 20 february 2008 \| round of 16 \| away \| arsenal \| 0-0 \| None row 8 : 8 \| 4 march 2008 \| round of 16 \| home \| arsenal \| 0-2 \| None ] Execute this SQL based on the above table: select count ( date ) where round = 'group stage'	6
[ header: name \| egot completed \| emmy \| grammy \| oscar \| tony row 1 : richard rodgers \| 1962 (17 years) \| 1962 \| 1960 \| 1945 \| 1950 row 2 : helen hayes \| 1977 (45 years) \| 1953 \| 1977 \| 1932 \| 1947 row 3 : rita moreno \| 1977 (16 years) \| 1977 \| 1972 \| 1961 \| 1975 row 4 : john gielgud \| 1991 (30 years) \| 1991 \| 1979 \| 1981 \| 1961 row 5 : audrey hepburn \| 1994 (41 years) \| 1993 \| 1994 \| 1953 \| 1954 row 6 : marvin hamlisch \| 1995 (23 years) \| 1995 \| 1974 \| 1973 \| 1976 row 7 : jonathan tunick \| 1997 (20 years) \| 1982 \| 1988 \| 1977 \| 1997 row 8 : mel brooks \| 2001 (34 years) \| 1967 \| 1998 \| 1968 \| 2001 row 9 : mike nichols \| 2001 (40 years) \| 2001 \| 1961 \| 1967 \| 1964 row 10 : whoopi goldberg \| 2002 (17 years) \| 2002 \| 1985 \| 1990 \| 2002 row 11 : scott rudin \| 2012 (28 years) \| 1984 \| 2012 \| 2007 \| 1994 row 12 : robert lopez \| 2014 (10 years) \| 2008 \| 2012 \| 2014 \| 2004 ] Execute this SQL based on the above table: select avg ( emmy ) where name in ( 'jonathan tunick' , 'richard rodgers' )	1972.0
[ 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 notes where id = ( select id where notes = 'episode: jeff daniels/color me badd' ) - 1	episode: "the fifth of july"
[ header: canal \| length (miles) \| locks \| max length (ft) \| width (ft) \| year opened \| year abandoned \| year restored row 1 : aberdeenshire canal \| 18 \| 18 \| None \| None \| 1805 \| 1854 \| None row 2 : buchan canal \| None \| None \| None \| None \| None \| None \| None row 3 : caledonian canal \| 62 \| 29 \| 150 \| 35 \| 1822 \| None \| None row 4 : crinan canal \| 9 \| 15 \| 86.75 \| 19.65 \| 1817 \| None \| None row 5 : dingwall canal \| 1.1 \| 0 \| None \| None \| 1816 \| 1840 \| None row 6 : forth and clyde canal \| 35 \| 38 \| 68.58 \| 19.75 \| 1790 \| 1963 \| 2002 row 7 : glasgow, paisley and \| 11 \| 0 \| None \| None \| 1811 \| 1881 \| None row 8 : monkland canal \| 12.25 \| 18 \| 71 \| 14 \| 1794 \| 1942 \| None row 9 : stevenston canal \| 2.25 \| 0 \| None \| 13 \| 1772 \| 1830 \| None row 10 : union canal \| 31.5 \| 3 \| 63 \| 12.5 \| 1822 \| 1930 \| 2000 ] Execute this SQL based on the above table: select count ( canal ) where canal not null	10
[ header: name \| year built \| country \| town \| height \| remarks row 1 : glacial aerial tramway kaprun i \| 1966 \| austria \| kaprun \| 113.6 m \| the tallest pylon is on the third row 2 : mississippi aerial river transit \| 1984 \| usa \| new orleans \| 109 m \| the tallest pylon on a row 3 : torre jaume i \| 1931 \| spain \| barcelona \| 107 m \| intermediate stop of the harbour aerial tramway, also row 4 : gant hohtaelli aerial tram \| None \| switzerland \| zermatt \| 94 m \| one pylon row 5 : london emirates air line \| early 2012 \| uk \| london \| 88 m \| north main tower. river thames aerial row 6 : singapore cable car \| 1972 \| singapore \| singapore \| 88 m \| pylon i row 7 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 85 m \| pylon ii row 8 : nizhny novgorod vol \| 2012 \| russia \| nizhny novgorod \| 82 m \| None row 9 : mittersill goods aerial tramway \| 1940s \| austria \| mittersill \| 80 m \| two pylons for a tramway row 10 : singapore cable car \| 1972 \| singapore \| singapore \| 80 m \| pylon ii row 11 : 3s aerial tramway \| 2004 \| austria \| kitzbuhel \| 80 m \| one pylon row 12 : torre sant sebasti \| 1931 \| spain \| barcelona \| 78 m \| terminal of harbour aerial tramway row 13 : roosevelt island tram \| 1976 \| usa \| new york city \| 76 m \| central pylon of commuter tramway row 14 : wendelstein aerial tramway \| 1970 \| germany \| bayerischzell-osterhof \| 75 m \| None row 15 : vinpearl cable car \| 2007 \| vietnam \| nha trang \| 75 m \| 7 pylons standing in the sea. row 16 : sandia peak tramway \| 1965 \| usa \| albuquerque \| 70.7 m \| pylon 1, inclined at an angle of 18 row 17 : eibsee aerial tramway \| 1962 \| germany \| garmisch-partenkirchen \| 65 m \| pylon i ] Execute this SQL based on the above table: select remarks where remarks in ( 'terminal of harbour aerial tramway' , 'None' ) order by height desc limit 1	terminal of harbour aerial tramway
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select margin - d(f) where jockey = 'fred archer'	-4.5, -8.5, -9.25
[ header: pick # \| nfl team \| player \| position \| college row 1 : 183 \| tampa bay buccaneers \| parnell dickinson \| quarterback \| mississippi valley state row 2 : 184 \| seattle seahawks \| dick dixon \| defensive tackle \| arkansas state row 3 : 185 \| miami dolphins \| joe ingersoll \| guard \| unlv row 4 : 186 \| dallas cowboys \| greg schaum \| defensive tackle \| michigan state row 5 : 187 \| cincinnati bengals \| bob bateman \| quarterback \| brown row 6 : 188 \| new york jets \| abdul salaam \| defensive end \| kent state row 7 : 189 \| cleveland browns \| steve cassidy \| defensive tackle \| louisiana state row 8 : 190 \| chicago bears \| jerry muckensturm \| linebacker \| arkansas state row 9 : 191 \| philadelphia eagles \| carl hairston \| defensive end \| maryland-eastern shore row 10 : 192 \| cincinnati bengals \| carmen rome \| defensive back \| miami (oh) row 11 : 193 \| atlanta falcons \| karl farmer \| wide receiver \| pittsburgh row 12 : 194 \| san francisco 49ers \| jay chesley \| defensive back \| vanderbilt row 13 : 195 \| buffalo bills \| jackie williams \| defensive back \| texas a&m row 14 : 196 \| kansas city chiefs \| rod wellington \| running back \| iowa row 15 : 197 \| houston oilers \| larry harris \| defensive tackle \| oklahoma state row 16 : 198 \| detroit lions \| garth ten napel \| linebacker \| texas a&m row 17 : 199 \| new york jets \| james richards \| running back \| florida row 18 : 200 \| miami dolphins \| john owens \| defensive end \| tennessee state row 19 : 201 \| new orleans saints \| ed bauer \| guard \| notre dame row 20 : 202 \| new england patriots \| perry brooks \| defensive tackle \| southern row 21 : 203 \| st. louis cardinals \| phil rogers \| running back \| virginia tech row 22 : 204 \| oakland raiders \| clarence chapman \| wide receiver \| eastern michigan row 23 : 205 \| cincinnati bengals \| ken kuhn \| linebacker \| ohio state row 24 : 206 \| minnesota vikings \| larry brune \| defensive back \| rice row 25 : 207 \| los angeles rams \| larry buie \| defensive back \| mississippi state row 26 : 208 \| dallas cowboys \| david williams \| running back \| colorado row 27 : 209 \| pittsburgh steelers \| barry burton \| tight end \| vanderbilt ] Execute this SQL based on the above table: select count ( distinct college )	24
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select sum ( construction year ) where type = 'chairlift'	6003
[ header: no. \| song \| singers \| length (m:ss) row 1 : 1 \| kalluri padam \| shankar mahadevan \| 01:32 row 2 : 2 \| iru kangal \| balram, gopika poornima \| 04:49 row 3 : 3 \| sithanna vasal \| s. p. balasubram \| 04:53 row 4 : 4 \| thozha thozha \| karthik \| 03:57 row 5 : 5 \| vidinjakka kannalam \| chitra sivaraman \| 04:20 row 6 : 6 \| mullai poo \| spb charan, ven \| 04:33 row 7 : 7 \| yarum ariya \| pavithra \| 05:16 row 8 : 8 \| salsa - theme music \| instrumental \| 01:33 ] Execute this SQL based on the above table: select count ( distinct song )	8
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select date where film > ( select film where date = 'january 12, 2014' ) order by film asc limit 1	january 26, 2014
[ header: year \| title \| role \| notes row 1 : 1982 \| voyager from the unknown \| phineas bogg \| None row 2 : 1982-1983 \| voyagers! \| phineas bogg \| 20 episodes row 3 : 1983 \| making of a male model \| tyler burnett \| television movie row 4 : 1984 \| hotel \| prince erik \| episode: "tomorrows" row 5 : 1984 \| the bear \| pat trammell \| None row 6 : 1984 \| cover up \| mac harper \| 7 episodes ] Execute this SQL based on the above table: select year where id = 1	1982
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2002 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 2 : 2003 \| 4 \| usl pdl \| 1st, mid atlantic \| conference semifinals \| did not qualify row 3 : 2004 \| 4 \| usl pdl \| 3rd, mid atlantic \| did not qualify \| did not qualify row 4 : 2005 \| 4 \| usl pdl \| 1st, mid atlantic \| national semifinals \| 2nd round row 5 : 2006 \| 4 \| usl pdl \| 5th, mid atlantic \| did not qualify \| did not qualify row 6 : 2007 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify row 7 : 2008 \| 4 \| usl pdl \| 6th, mid atlantic \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( * ) where playoffs = 'did not qualify'	5
[ header: call sign \| frequency \| city of license \| licensee \| format row 1 : kmsa \| 91.3 fm \| grand junction \| colorado mesa university \| aaa row 2 : kmgj \| 93.1 fm \| grand junction \| mbc grand broadcasting, inc \| top 40 (chr)/contempor row 3 : kkvt \| 100.7 fm \| grand junction \| mbc grand broadcasting, inc \| country row 4 : klfv \| 90.3 fm \| grand junction \| educational media foundation \| christian contemporary row 5 : kmoz-fm \| 92.3 fm \| grand junction \| mbc grand broadcasting, inc \| adult hits row 6 : kgjn-lp \| 106.7 fm \| grand junction \| colorado, state of, telecom \| news talk information row 7 : kjol \| 620 am \| grand junction \| united ministries \| christian contemporary row 8 : kcic \| 88.5 fm \| grand junction \| pear park baptist schools \| religious row 9 : kbkl \| 107.9 fm \| grand junction \| townsquare media group \| oldies row 10 : kafm \| 88.1 fm \| grand junction \| grand valley public radio co, inc \| variety row 11 : kexo \| 1230 am \| grand junction \| townsquare media group \| regional mexican/talk row 12 : knzz \| 1100 am \| grand junction \| mbc grand broadcasting, inc \| news/talk row 13 : kmxy \| 104.3 fm \| grand junction \| townsquare media group \| hot adult contemporary row 14 : kprn \| 89.5 fm \| grand junction \| public broadcasting of colorado, in \| public/news/talk row 15 : ktmm \| 1340 am \| grand junction \| mbc grand broadcasting, inc \| sports/talk row 16 : kaai \| 98.5 fm \| palisade, colorado \| educational media foundation \| christian rock row 17 : kmzk (fm) \| 106.9 fm \| clifton \| charles d. hall \| None row 18 : kekb \| 99.9 fm \| fruita \| townsquare media group \| country row 19 : krzx \| 106.1 fm \| redlands \| cochise media licenses llc \| None row 20 : kzks \| 105.3 fm \| rifle, colorado \| western slope communications \| classic hits row 21 : knoz \| 97.7 fm \| orchard mesa \| paul varecha \| all-news radio row 22 : ktun \| 93.5 fm \| new castle, colorado \| wildcat communications \| spanish hits row 23 : kknn \| 95.1 fm \| delta, colorado \| townsquare media group \| active rock row 24 : kstr-fm \| 96.1 fm \| montrose, colorado \| mbc grand broadcasting \| classic rock row 25 : kubc \| 580 am \| montrose, colorado \| cherry creek radio \| news/talk ] Execute this SQL based on the above table: select call sign order by frequency desc limit 1	ktmm