Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/03/2012 \| 7:30 pm \| central missouri \| dunn center • clarksville, \| None \| w 75-66 \| None \| None row 2 : 11/09/2012 \| 7:00 pm \| samford \| dunn center • clarksville, \| None \| w 75-64 \| 2315 \| 1-0 row 3 : 11/13/2012 \| 7:00 pm \| at wku \| e. a. diddle arena • \| None \| l 54-74 \| 4160 \| 1-1 row 4 : 11/20/2012 \| 12:30 pm \| vs. western carolina \| moon palace resort • cancun, mex \| None \| w 72-71 \| 902 \| 2-2 row 5 : 11/28/2012 \| 7:00 pm \| berea \| dunn center • clarksville, \| None \| w 108-53 \| 2023 \| 3-3 row 6 : 12/01/2012 \| 7:30 pm \| fairfield \| dunn center • clarksville, \| None \| l 55-74 \| 2208 \| 3-4 row 7 : 12/05/2012 \| 7:00 pm \| oakland city \| dunn center • clarksville, \| None \| w 88-63 \| 2012 \| 4-4 row 8 : 12/08/2012 \| 12:00 pm \| at memphis \| fedexforum • memphis, t \| None \| l 65-83 \| 15249 \| 4-5 row 9 : 12/16/2012 \| 2:05 pm \| at arkasnas state \| convocation center • jonesboro, ar \| None \| l 57-69 \| 2652 \| 4-6 row 10 : 12/18/2012 \| 7:00 pm \| lipscomb \| dunn center • clarksville, \| None \| l 84-87 \| 2498 \| 4-7 row 11 : 12/28/2012 \| 3:30 pm \| vs. utah valley \| mckenzie arena • chattano \| None \| l 77-84 \| 2568 \| 4-9 row 12 : 12/29/2012 \| 3:30 pm \| vs. high point \| mckenzie arena • chattano \| None \| l 74-76 \| 2534 \| 4-10 row 13 : 01/03/2013 \| 7:00 pm \| at southeast missouri state \| show me center • cape girardeau \| None \| l 84-86 \| 1845 \| 4-11 (0-1) row 14 : 01/05/2013 \| 6:20 pm \| at tennessee-martin \| skyhawk arena • martin, t \| None \| l 74-76 ot \| 2578 \| 4-12 (0-2) row 15 : 01/12/2013 \| 7:30 pm \| murray state \| dunn center • clarksville, \| espn3 \| l 68-71 \| 4718 \| 5-13 (1-3) row 16 : 01/17/2013 \| 7:00 pm \| siu edwardsville \| dunn center • clarksville, \| None \| l 53-66 \| 2014 \| 5-14 (1-4) row 17 : 01/19/2013 \| 7:30 pm \| eastern illinois \| dunn center • clarksville, \| None \| l 67-77 \| 2517 \| 5-15 (1-5) row 18 : 02/07/2013 \| 7:00 pm \| tennessee state \| dunn center • clarksville, \| None \| l 82-88 ot \| 2186 \| 5-19 (1-9) row 19 : 02/20/2013 \| 6:00 pm \| at eastern kentucky \| alumni coliseum • richmond, \| None \| l 53-91 \| 3400 \| 7-21 (3-11) ] Execute this SQL based on the above table: select record where record != '4-7' and time = ( select time where record = '4-7' )	1-0, 1-1, 3-3, 3-4, 4-4, 4-11 (0-1), 5-13 (1-3), 5-14 (1-4), 5-15 (1-5), 5-19 (1-9)
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| beijing marathon \| beijing, pr china \| 7th \| marathon \| 2:10:46 row 2 : 2002 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:13:09 row 3 : 2004 \| olympic games \| athens, greece \| 31st \| marathon \| 2:19:26 row 4 : 2007 \| xiamen international marathon \| xiamen, pr china \| 1st \| marathon \| 2:13:17 row 5 : 2007 \| world championships \| osaka, japan \| 43rd \| marathon \| 2:32:44 row 6 : 2008 \| olympic games \| beijing, pr china \| 51st \| marathon \| 2:24:08 ] Execute this SQL based on the above table: select competition where id = ( select id where competition = 'olympic games' ) - 1	beijing marathon
[ header: name \| party \| province \| term expires \| years in office row 1 : william atkinson \| liberal \| central \| 1989 \| 1983-1984 row 2 : colin bell \| liberal \| lower west \| 1989 \| 1983-1989 row 3 : joe berinson \| labor \| north central metropolitan \| 1986 \| 1980-1993 row 4 : james brown \| labor \| south-east \| 1986 \| 1980-1992 row 5 : eric charlton \| national/np \| central \| 1989 \| 1984-1998 row 6 : des dans \| labor \| south metropolitan \| 1989 \| 1971-1989 row 7 : peter dowding \| labor \| north \| 1986 \| 1980-1986 row 8 : graham edwards \| labor \| north metropolitan \| 1989 \| 1983-1997 row 9 : lyla elliott \| labor \| north-east metropolitan \| 1986 \| 1971-1986 row 10 : vic ferry \| liberal \| south-west \| 1989 \| 1965-1987 row 11 : harry gayfer \| national/ncp \| central \| 1986 \| 1974-1989 row 12 : clive griffiths \| liberal \| south central metropolitan \| 1989 \| 1965-1997 row 13 : kay hallahan \| labor \| south-east metropolitan \| 1989 \| 1983-1993 row 14 : bob hetherington \| labor \| south-east metropolitan \| 1986 \| 1977-1989 row 15 : garry kelly \| labor \| south metropolitan \| 1986 \| 1982-1993 row 16 : thomas knight \| liberal \| south \| 1986 \| 1974-1986 row 17 : sandy lewis \| liberal \| lower central \| 1986 \| 1974-1989 row 18 : phil lockyer \| liberal \| lower north \| 1986 \| 1980-1997 row 19 : margaret mcaleer \| liberal \| upper west \| 1986 \| 1974-1993 row 20 : fred mckenzie \| labor \| north-east metropolitan \| 1989 \| 1977-1993 row 21 : graham mackinnon \| liberal \| south west \| 1986 \| 1956-1986 row 22 : thomas mcneil \| national/np \| upper west \| 1989 \| 1977-1989 row 23 : gordon masters \| liberal \| west \| 1986 \| 1974-1989 row 24 : ian medcalf \| liberal \| metropolitan \| 1986 \| 1968-1986 row 25 : norman moore \| liberal \| lower north \| 1989 \| 1977-2013 row 26 : mark nevill \| labor \| south-east \| 1989 \| 1983-2001 row 27 : neil oliver \| liberal \| west \| 1989 \| 1977-1989 row 28 : phillip pendal \| liberal \| south central metropolitan \| 1986 \| 1980-1993 row 29 : sam piantadosi \| labor \| north central metropolitan \| 1989 \| 1983-1996 row 30 : ian pratt \| liberal \| lower west \| 1986 \| 1974-1986 row 31 : tom stephens \| labor \| north \| 1989 \| 1982-2004 row 32 : bill stretch \| liberal \| lower central \| 1989 \| 1983-2005 row 33 : peter wells \| liberal \| north metropolitan \| 1986 \| 1980-1986 row 34 : richard williams \| liberal \| metropolitan \| 1989 \| 1971-1989 row 35 : david wordsworth \| liberal \| south \| 1989 \| 1971-1993 ] Execute this SQL based on the above table: select ( select count ( province ) ) > 24	1
[ header: year \| game \| developer \| setting \| platform \| notes row 1 : 1984 \| millionaire \| incentive software \| modern \| zx, bbc \| None row 2 : 1984 \| mugsy \| melbourne house \| historical \| zx \| None row 3 : 1992 \| patrician, the \| ascaron \| historical \| ami, dos, st \| first title in the series row 4 : 1993 \| dinopark tycoon \| mecc, manley & associates \| sci-fi \| 3do, dos, mac, win \| None row 5 : 1994 \| simhealth \| thinking tools \| modern \| dos \| None row 6 : 1994 \| simtower \| openbook \| modern \| mac, win3x, win9x \| None row 7 : 1995 \| kaiser deluxe \| linel \| historical \| dos, win \| remake of kaiser row 8 : 1997 \| herrscher der meere \| novatrix \| historical \| dos \| None row 9 : 1997 \| industry giant \| jowood \| modern \| win \| first title in the series row 10 : 1998 \| gangsters: organized crime \| hothouse \| historical \| win \| None row 11 : 1999 \| harvest moon 2 \| pack-in-video \| fantasy \| gbc \| sequel to harvest moon row 12 : 1999 \| x: beyond the frontier \| egosoft \| sci-fi \| win \| first title in the series row 13 : 2001 \| monopoly tycoon \| deep red \| modern \| win \| None row 14 : 2001 \| tv tycoon \| niels bauer \| modern \| win \| None row 15 : 2001 \| zoo tycoon \| blue fang \| modern \| ds, mac, win \| first title in the series row 16 : 2002 \| lemonade tycoon \| hexacto, jamdat \| modern \| palm, ppc, mobi, \| None row 17 : 2002 \| snowboard park tycoon \| cat daddy \| modern \| win \| None row 18 : 2003 \| atlantis underwater tycoon \| activision \| modern \| win \| None row 19 : 2003 \| casino, inc: the management \| hothouse \| modern \| win \| expansion to casino, inc row 20 : 2003 \| harvest moon: more friends of mineral town \| marvelous \| fantasy \| gba \| "female" version of harvest moon: row 21 : 2003 \| tropico 2: pirate cove \| frog city \| historical \| osx, win \| None row 22 : 2004 \| railroad tycoon 3: coast to \| poptop \| historical \| win \| expansion to railroad tycoon 3 row 23 : 2005 \| harvest moon ds \| marvelous \| fantasy \| ds \| None row 24 : 2006 \| anno 1701 \| related \| historical \| ds, win \| sequel to anno 1503: the new world row 25 : 2006 \| prison tycoon 2: maximum security \| virtual playground \| modern \| win \| sequel to prison tycoon row 26 : 2006 \| sid meier's railroads! \| firaxis \| historical \| win \| sequel to railroad tycoon 3 row 27 : 2006 \| tycoon city: new york \| deep red \| modern \| win \| None row 28 : 2007 \| catan \| big huge \| fantasy \| xbla \| None row 29 : 2008 \| x3: terran conflict \| egosoft \| sci-fi \| osx, win \| sequel to x3: reunion row 30 : 2010 \| gamebiz 3 \| velocigames \| modern \| win \| sequel to gamebiz 2 row 31 : 2011 \| tropico 4 \| haemimont games \| modern \| win, x360 \| None row 32 : 2011 \| anno 2070 \| related designs, ubisoft blue byte \| sci-fi \| win \| None row 33 : None \| jurassic genetics \| flaming nebula studios \| sci-fi \| win, mac \| None ] Execute this SQL based on the above table: select setting where setting in ( 'modern' , 'modern' ) group by setting order by count ( * ) desc limit 1	modern
[ header: \| player \| nationality \| drafted by \| year \| round \| overall row 1 : w \| harald luckner \| sweden \| new york islanders \| 1977 \| 7th \| 121st row 2 : d \| bjorn olsson \| sweden \| st. louis blues \| 1977 \| 9th \| 147th row 3 : c \| bengt-ake gustafs \| sweden \| washington capitals \| 1978 \| 4th \| 55th row 4 : f \| dan hermansson \| sweden \| st. louis blues \| 1978 \| 10th \| 175th row 5 : w \| hakan loob \| sweden \| calgary flames \| 1980 \| 9th \| 181st row 6 : w \| jan ingman \| sweden \| montreal canadiens \| 1981 \| 1st \| 19th row 7 : lw \| magnus roupe \| sweden \| philadelphia flyers \| 1982 \| 9th \| 182nd row 8 : c \| thomas rundkvist \| sweden \| montreal canadiens \| 1983 \| 10th \| 198th row 9 : rw \| lars karlsson \| sweden \| detroit red wings \| 1984 \| 8th \| 152nd row 10 : d \| fredrik olausson \| sweden \| winnipeg jets \| 1985 \| 4th \| 81st row 11 : d \| mattias olsson \| sweden \| los angeles kings \| 1991 \| 10th \| 218th row 12 : c \| mathias johansson \| sweden \| calgary flames \| 1992 \| 3rd \| 54th row 13 : rw \| jonas hoglund \| sweden \| calgary flames \| 1992 \| 10th \| 222nd row 14 : d \| anders myrvold \| norway \| quebec nordiques \| 1993 \| 5th \| 127th row 15 : d \| henrik rehnberg \| sweden \| new jersey devils \| 1995 \| 4th \| 96th row 16 : rw \| kristian huselius \| sweden \| florida panthers \| 1997 \| 2nd \| 47th row 17 : lw \| peter nordstrom \| sweden \| boston bruins \| 1998 \| 3rd \| 78th row 18 : d \| jonas frogren \| sweden \| calgary flames \| 1998 \| 8th \| 206th row 19 : d \| pelle prestberg \| sweden \| mighty ducks of anaheim \| 1998 \| 9th \| 233rd row 20 : c \| tore vikingstad \| norway \| st. louis blues \| 1999 \| 6th \| 180th row 21 : lw \| andreas jamtin \| sweden \| detroit red wings \| 2001 \| 5th \| 157th row 22 : d \| robin jonsson \| sweden \| st. louis blues \| 2002 \| 4th \| 120th row 23 : d \| pierre johnsson \| sweden \| calgary flames \| 2002 \| 7th \| 207th row 24 : d \| per johnsson \| sweden \| calgary flames \| 2006 \| 7th \| 209th row 25 : c \| marcus johansson \| sweden \| washington capitals \| 2009 \| 1st \| 24th row 26 : f \| henrik bjorklund \| sweden \| calgary flames \| 2009 \| 4th \| 111th row 27 : g \| johan gustafsson \| sweden \| minnesota wild \| 2010 \| 6th \| 159th ] Execute this SQL based on the above table: select year order by year desc limit 1	2010
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select 2.05 order by 2.15 asc limit 1685	o, o, o, o
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select count ( winner ) where date = '25-dec-97'	1
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select count ( * ) where tyres = 1372	0
[ header: # \| name \| strike tone (st-1/16) \| weight (kg) \| diameter (mm) \| inscription row 1 : 1 \| maria \| g0 +8 \| 6045 \| 2075 \| + o mater alma christ row 2 : 2 \| carolus \| h0 +7 \| 2900 \| 1628 \| honor et cultus, que row 3 : 3 \| johannes evangelista \| d1 +8 \| 1400 \| 1367 \| nascentes inter soci row 4 : 4 \| johannes baptista \| e1 +7 \| 1225 \| 1217 \| johannes baptista or row 5 : 5 \| leopardus \| fis1 +3 \| 850 \| 1078 \| sancte leoparde ora pro nobis row 6 : 6 \| stephanus \| g1 +8 \| 715 \| 1027 \| sancte stephane ora pro no row 7 : 7 \| petrus \| a1 +1 \| 425 \| 894 \| sancte petre ora pro nobis row 8 : 8 \| simeon \| h1 +8 \| 290 \| 793 \| sancte simeon juste e ] Execute this SQL based on the above table: select count ( * ) where inscription = 'nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone)'	1
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select count ( ) where = 0	0
[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : evansville \| evansville \| 7 \| 28 \| wtvw \| cw \| None row 2 : evansville \| evansville \| 9 \| 9 \| wnin \| pbs \| None row 3 : fort wayne \| fort wayne \| 21 \| 24 \| wpta \| abc \| cw on 21.2 row 4 : fort wayne \| fort wayne \| 33 \| 19 \| wise-tv \| nbc \| mnt on 33.2 row 5 : fort wayne \| fort wayne \| 39 \| 40 \| wfwa \| pbs \| None row 6 : fort wayne \| fort wayne \| 55 \| 36 \| wfft-tv \| fox \| None row 7 : gary \| gary \| 56 \| 17 \| wyin \| pbs \| None row 8 : indianapolis \| indianapolis \| 8 \| 9 \| wish-tv \| cbs \| None row 9 : indianapolis \| indianapolis \| 13 \| 13 \| wthr \| nbc \| None row 10 : indianapolis \| indianapolis \| 20 \| 21 \| wfyi \| pbs \| None row 11 : indianapolis \| marion \| 23 \| 32 \| wndy-tv \| mnt \| None row 12 : indianapolis \| bloomington \| 30 \| 14 \| wtiu \| pbs \| None row 13 : indianapolis \| indianapolis \| 40 \| 16 \| whmb-tv \| lesea \| None row 14 : indianapolis \| bloomington \| 42 \| 42 \| wclj-tv \| tbn \| None row 15 : indianapolis \| indianapolis \| 59 \| 45 \| wxin \| fox \| None row 16 : indianapolis \| bloomington \| 63 \| 27 \| wipx-tv \| ion \| None row 17 : indianapolis \| indianapolis \| 69 \| 44 \| wdti \| daystar \| None row 18 : kokomo \| kokomo \| 29 \| 29 \| wttk \| cw \| satellite of wttv ch. row 19 : muncie \| muncie \| 49 \| 23 \| wipb \| pbs \| None row 20 : south bend \| south bend \| 16 \| 42 \| wndu-tv \| nbc \| None row 21 : south bend \| south bend \| 22 \| 22 \| wsbt-tv \| cbs \| None row 22 : south bend \| elkhart \| 28 \| 28 \| wsjv \| fox \| None row 23 : south bend \| south bend \| 34 \| 35 \| wnit \| pbs \| None row 24 : south bend \| south bend \| 46 \| 48 \| whme-tv \| lesea \| None row 25 : terre haute \| terre haute \| 10 \| 10 \| wthi-tv \| cbs \| fox on 10.2 row 26 : terre haute \| terre haute \| 38 \| 39 \| wawv-tv \| abc \| None row 27 : vincennes \| vincennes \| 22 \| 22 \| wvut \| pbs \| None row 28 : ~chicago il \| gary \| 50 \| 51 \| wpwr-tv \| mnt \| None row 29 : ~chicago il \| hammond \| 62 \| 36 \| wjys \| ind \| None row 30 : ~louisville ky \| salem \| 58 \| 51 \| wmyo \| mnt \| None ] Execute this SQL based on the above table: select network order by rf limit 1	pbs
[ header: color \| pin (tip) \| pin (ring) \| color row 1 : white/blue \| 26 \| 1 \| blue/white row 2 : white/orange \| 27 \| 2 \| orange/white row 3 : white/green \| 28 \| 3 \| green/white row 4 : white/brown \| 29 \| 4 \| brown/white row 5 : white/slate \| 30 \| 5 \| slate/white row 6 : red/blue \| 31 \| 6 \| blue/red row 7 : red/orange \| 32 \| 7 \| orange/red row 8 : red/green \| 33 \| 8 \| green/red row 9 : red/brown \| 34 \| 9 \| brown/red row 10 : red/slate \| 35 \| 10 \| slate/red row 11 : black/blue \| 36 \| 11 \| blue/black row 12 : black/orange \| 37 \| 12 \| orange/black row 13 : black/green \| 38 \| 13 \| green/black row 14 : black/brown \| 39 \| 14 \| brown/black row 15 : black/slate \| 40 \| 15 \| slate/black row 16 : yellow/blue \| 41 \| 16 \| blue/yellow row 17 : yellow/orange \| 42 \| 17 \| orange/yellow row 18 : yellow/green \| 43 \| 18 \| green/yellow row 19 : yellow/brown \| 44 \| 19 \| brown/yellow row 20 : yellow/slate \| 45 \| 20 \| slate/yellow row 21 : violet/blue \| 46 \| 21 \| blue/violet row 22 : violet/orange \| 47 \| 22 \| orange/violet row 23 : violet/green \| 48 \| 23 \| green/violet row 24 : violet/brown \| 49 \| 24 \| brown/violet row 25 : violet/slate \| 50 \| 25 \| slate/violet ] Execute this SQL based on the above table: select pin (ring) order by pin (tip) desc limit 1	25
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select location + date where year = 2012	22
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select result order by time desc limit 1	l 11-17
[ header: region \| seed \| team \| coach \| finished \| final opponent \| score row 1 : east \| \| None \| None \| None \| None \| None row 2 : east \| \| furman \| joe williams \| first round \| syracuse \| l 83-82 row 3 : east \| \| maryland \| lefty driesell \| regional runner-up \| providence \| l 103-89 row 4 : east \| \| penn \| chuck daly \| regional fourth place \| syracuse \| l 69-68 row 5 : east \| \| providence \| dave gavitt \| fourth place \| indiana \| l 97-79 row 6 : east \| \| st. john's \| frank mulzoff \| first round \| penn \| l 62-61 row 7 : east \| \| saint joseph's \| jack mckinney \| first round \| providence \| l 89-76 row 8 : east \| \| syracuse \| roy danforth \| regional third place \| penn \| w 69-68 row 9 : mideast \| \| None \| None \| None \| None \| None row 10 : mideast \| \| austin peay \| lake kelly \| regional fourth place \| marquette \| l 88-73 row 11 : mideast \| \| indiana \| bob knight \| third place \| providence \| w 97-79 row 12 : mideast \| \| jacksonville \| tom wasdin \| first round \| austin peay \| l 77-75 row 13 : mideast \| \| kentucky \| joe b. hall \| regional runner-up \| indiana \| l 72-65 row 14 : mideast \| \| marquette \| al mcguire \| regional third place \| austin peay \| w 88-73 row 15 : mideast \| \| miami, ohio \| darrell hedric \| first round \| marquette \| l 77-62 row 16 : midwest \| \| None \| None \| None \| None \| None row 17 : midwest \| \| houston \| guy lewis \| first round \| southwestern louisiana \| l 102-89 row 18 : midwest \| \| kansas state \| jack hartman \| regional runner-up \| memphis state \| l 92-72 row 19 : midwest \| \| southwestern louisiana (vacated) \| beryl shipley \| regional fourth place \| south carolina \| l 90-85 row 20 : midwest \| \| memphis state \| gene bartow \| runner up \| ucla \| l 87-66 row 21 : midwest \| \| south carolina \| frank mcguire \| regional third place \| southwestern louisiana \| w 90-85 row 22 : midwest \| \| texas tech \| gerald myers \| first round \| south carolina \| l 78-70 row 23 : west \| \| None \| None \| None \| None \| None row 24 : west \| \| arizona state \| ned wulk \| regional fourth place \| long beach state \| l 84-80 row 25 : west \| \| long beach state \| jerry tarkanian \| regional third place \| arizona state \| w 84-80 row 26 : west \| \| oklahoma city \| abe lemons \| first round \| arizona state \| l 103-78 row 27 : west \| \| san francisco \| bob gaillard \| regional runner-up \| ucla \| l 54-39 row 28 : west \| \| ucla \| john wooden \| champion \| memphis state \| w 87-66 row 29 : west \| \| weber state \| gene visscher \| first round \| long beach state \| l 88-75 ] Execute this SQL based on the above table: select seed where final opponent = 'indiana'	,
[ header: title \| character \| broadcaster \| episodes \| date row 1 : rev \| pip \| bbc two \| 1 \| 2010 row 2 : the i.t. crowd \| nikki \| channel 4 \| 1 \| 2010 row 3 : eastenders: e20 \| ava \| bbc one \| 15 \| 2011 row 4 : fresh meat \| caz \| channel 4 \| 1 \| 2011 row 5 : phoneshop \| daisy \| channel 4 \| 1 \| 2011 row 6 : holby city \| heidi hall \| bbc one \| 1 \| 2012 row 7 : plebs \| cynthia \| itv2 \| 6 \| 2013 row 8 : blandings \| valerie fanshawe \| bbc \| 2.5 \| 2014 row 9 : death in paradise \| helen walker \| bbc \| 3.4 \| 2014 ] Execute this SQL based on the above table: select character where id = ( select id where character = 'pip' ) + 1	nikki
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 1420436 \| 73.52 \| 687210 \| 733226 row 2 : yiddish \| 317169 \| 16.41 \| 154603 \| 162566 row 3 : russian \| 87850 \| 4.54 \| 13551 \| 1586 row 4 : german \| 77160 \| 3.99 \| 37984 \| 39176 row 5 : ukrainian \| 15930 \| 0.82 \| 15623 \| 307 row 6 : romanian \| 2299 \| >0.01 \| 2293 \| 6 row 7 : latvian \| 1759 \| >0.01 \| 1738 \| 21 row 8 : estonian \| 1566 \| >0.01 \| 1555 \| 11 row 9 : tatar \| 1473 \| >0.01 \| 1437 \| 36 row 10 : belarusian \| 1343 \| >0.01 \| 1234 \| 109 row 11 : other \| 4824 \| 0.24 \| 3289 \| 1535 row 12 : persons that didn't name their native language \| 54 \| >0.01 \| 33 \| 21 row 13 : total \| 1931867 \| 100 \| 977948 \| 953919 ] Execute this SQL based on the above table: select language order by percentage (%) desc limit 1	total
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select max ( grid )	42.0
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select alternante title where series premiere = 'april 19, 2012' order by series premiere asc limit 1	כוחו של גורל
[ header: district \| senator \| party \| caucus \| first elected \| counties represented row 1 : 1 \| kenneth p. lavalle \| republican \| republican \| 1976 \| suffolk row 2 : 3 \| lee zeldin \| republican \| republican \| 2010 \| suffolk row 3 : 8 \| vacant \| None \| None \| None \| nassau, suffo row 4 : 10 \| james sanders, j \| democratic \| democratic \| 2012 \| queens row 5 : 11 \| tony avella \| democratic \| democratic \| 2010 \| queens row 6 : 13 \| jose peralta \| democratic \| democratic \| 2010 \| queens row 7 : 14 \| malcolm smith \| democratic \| no caucus \| 2000 \| queens row 8 : 15 \| joseph addabbo, j \| democratic \| democratic \| 2008 \| queens row 9 : 16 \| toby ann stavisky \| democratic \| democratic \| 1999 \| queens row 10 : 17 \| simcha felder \| democratic \| republican \| 2012 \| brooklyn row 11 : 20 \| vacant \| None \| None \| None \| brooklyn row 12 : 24 \| andrew j. lanza \| republican \| republican \| 2006 \| staten island row 13 : 25 \| velmanette montgomery \| democratic \| democratic \| 1984 \| brooklyn row 14 : 26 \| daniel squadron \| democratic \| democratic \| 2008 \| brooklyn, manhattan row 15 : 27 \| brad hoylman \| democratic \| democratic \| 2012 \| manhattan row 16 : 28 \| liz krueger \| democratic \| democratic \| 2002 \| manhattan row 17 : 29 \| jose m. serrano \| democratic \| democratic \| 2004 \| manhattan, the bronx row 18 : 31 \| adriano espaillat \| democratic \| democratic \| 2010 \| manhattan row 19 : 32 \| ruben diaz, sr \| democratic \| democratic \| 2002 \| the bronx row 20 : 33 \| gustavo rivera \| democratic \| democratic \| 2010 \| the bronx row 21 : 35 \| andrea stewart-cousins \| democratic \| democratic \| 2006 \| westchester row 22 : 37 \| george s. latimer \| democratic \| democratic \| 2012 \| westchester row 23 : 40 \| gregory r. ball \| republican \| republican \| 2010 \| dutchess, putnam, westchester row 24 : 41 \| terry w. gipson \| democratic \| democratic \| 2012 \| dutchess, putnam row 25 : 42 \| john bonacic \| republican \| republican \| 1998 \| delaware, orange, sulliv row 26 : 45 \| betty little \| republican \| republican \| 2002 \| clinton, essex, fran row 27 : 46 \| cecilia tkaczyk \| democratic \| democratic \| 2012 \| albany, greene, montgomery row 28 : 47 \| joseph griffo \| republican \| republican \| 2006 \| lewis, oneida, saint row 29 : 48 \| patty ritchie \| republican \| republican \| 2010 \| jefferson, oswego, row 30 : 50 \| john defrancisco \| republican \| republican \| 1992 \| cayuga, onondaga row 31 : 51 \| james seward \| republican \| republican \| 1986 \| cayuga, chenango, cort row 32 : 52 \| thomas w. libous \| republican \| republican \| 1988 \| broome, chenango, delaware ] Execute this SQL based on the above table: select first elected where counties represented = 'queens'	2012, 2010, 2010, 2000, 2008, 1999
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select count ( notes )	3
[ header: \| name on the register \| date listed \| location \| municipality row 1 : 1 \| catholic belltower \| november 25, 1980 (#80004399 \| catholic mission in kolonia 6°58 \| nett row 2 : 2 \| chief agriculturist house \| september 30, 1976 (#76002200) \| kolonia 6°57′31′′n \| nett row 3 : 3 \| german cemetery \| september 30, 1976 (#76002201) \| kolonia 6°57′07′′n \| nett row 4 : 4 \| japanese hydro-electric power plant \| september 30, 1976 (#76002204) \| kolonia 6°57′33′′n \| nett row 5 : 5 \| japanese shrine \| september 30, 1976 (#76002205) \| kolonia 6°57′50′′n \| nett row 6 : 6 \| japanese elementary school for pon \| september 30, 1976 (#76002203) \| kolonia 6°58′01′′n \| nett row 7 : 7 \| sokehs mass grave site \| september 30, 1976 (#76002206) \| kolonia 6°58′10′′n \| nett row 8 : 8 \| spanish wall \| december 19, 1974 (#7400222 \| litkin kel 6°58′05′′ \| nett row 9 : 9 \| japanese artillery road and \| september 30, 1976 (#76002202) \| sokehs 6°58′03′′ \| sokehs row 10 : 10 \| nan madol \| december 19, 1974 (#7400222 \| east side of temwen island 6° \| madolenihmw ] Execute this SQL based on the above table: select count ( location ) where municipality = 467	0
[ header: position \| nation \| number \| name \| soproni liga \| uefa cup \| hungarian cup \| league cup \| total row 1 : 1 \| \| 14 \| gergely rudolf \| 16 \| 3 \| 0 \| 0 \| 19 row 2 : 2 \| \| 41 \| lorant olah \| 12 \| 1 \| 0 \| 0 \| 13 row 3 : 3 \| \| 99 \| omagbemi dudu \| 4 \| 1 \| 5 \| 0 \| 10 row 4 : 4 \| \| 55 \| peter szakaly \| 9 \| 0 \| 0 \| 0 \| 9 row 5 : 5 \| \| 77 \| peter czvitkovics \| 7 \| 0 \| 0 \| 0 \| 7 row 6 : 6 \| \| 4 \| leandro de almeida \| 5 \| 0 \| 1 \| 0 \| 6 row 7 : 7 \| \| 17 \| norbert meszaros \| 3 \| 0 \| 0 \| 0 \| 3 row 8 : 8 \| \| 8 \| zsombor kerekes \| 1 \| 0 \| 2 \| 0 \| 3 row 9 : 9 \| \| 10 \| igor bogdanovic \| 0 \| 0 \| 3 \| 0 \| 3 row 10 : 10 \| \| 2 \| istvan szucs \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 11 \| \| 30 \| zoltan kiss \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| \| 23 \| peter szilagyi \| 2 \| 0 \| 0 \| 0 \| 2 row 13 : 13 \| \| 7 \| tibor dombi \| 2 \| 0 \| 0 \| 0 \| 2 row 14 : 14 \| \| 13 \| peter biro \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 15 \| \| 27 \| gabor demjen \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 16 \| \| 19 \| vinicius galvao leal \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 17 \| \| 1 \| vukasin poleksic \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : 18 \| \| 83 \| zoltan varga \| 0 \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| \| 16 \| adam komlosi \| 0 \| 0 \| 1 \| 0 \| 1 row 20 : None \| \| None \| own goals \| 1 \| 0 \| 0 \| 0 \| 1 row 21 : None \| \| None \| totals \| 70 \| 5 \| 13 \| 0 \| 88 ] Execute this SQL based on the above table: select name + name where total = 1	0, 0, 0, 0, 0, 0, 0
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select manufacturer , driver order by no. desc limit 1	t-bird, rich bickle
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select place where id = ( select id where place = '3rd' ) + 1	2nd
[ 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 year built where remarks = 'one pylon' order by country asc limit 1	2004
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select urban area where administrative area = 2428534	738128.0
[ 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 ( select rank where rank = 6 ) - ( select rank where rank = 7 )	-1.0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select loss where id = ( select id where record = '34-53' ) - 1	manning (0-2)
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| soviet union (urs) \| 4 \| 1 \| 6 \| 11 row 2 : 2 \| yugoslavia (yu \| 2 \| 0 \| 1 \| 3 row 3 : 3 \| west germany (frg) \| 1 \| 1 \| 1 \| 3 row 4 : 4 \| bulgaria (bul) \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| czechoslovakia (t \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| east germany (gdr) \| 1 \| 1 \| 0 \| 2 row 7 : 4 \| great britain (gbr) \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| norway (nor) \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| romania (rou) \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| china (chn) \| 0 \| 1 \| 1 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 1 \| 0 \| 1 row 12 : 11 \| france (fra) \| 0 \| 1 \| 0 \| 1 row 13 : 11 \| japan (jpn) \| 0 \| 1 \| 0 \| 1 row 14 : 11 \| south korea (kor) \| 0 \| 1 \| 0 \| 1 row 15 : 11 \| sweden (swe) \| 0 \| 1 \| 0 \| 1 row 16 : 11 \| united states (usa) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| hungary (hun) \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| belgium (bel) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| spain (esp) \| 0 \| 0 \| 1 \| 1 row 20 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select rank order by total desc limit 1	total
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select count ( * ) where winner = '€500,000'	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( open cup ) where open cup = 'did not qualify'	7
[ 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 1st venue order by year desc limit 1	beijing
[ 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 going where id = 1	good to soft
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select count ( actors ) where actors = 'for a few dollars more'	0
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select gold order by silver - silver desc limit 1	nelli cooman (ned)
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select ( select majority where state = 'nt' ) - ( select majority where state = 'nt' )	0.0
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : philipp schoch \| switzerland (sui) \| 2002-2006 \| 2 \| 0 \| 0 \| 2 row 2 : shaun white \| united states (usa) \| 2006-2014 \| 2 \| 0 \| 0 \| 2 row 3 : seth wescott \| united states (usa) \| 2006-2010 \| 2 \| 0 \| 0 \| 2 row 4 : karine ruby \| france (fra) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 5 : hannah teter \| united states (usa) \| 2006-2014 \| 1 \| 1 \| 0 \| 2 row 6 : ross powers \| united states (usa) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 7 : kelly clark \| united states (usa) \| 2002-2014 \| 1 \| 0 \| 2 \| 3 row 8 : danny kass \| united states (usa) \| 2002-2006 \| 0 \| 2 \| 0 \| 2 ] Execute this SQL based on the above table: select athlete - 1 where total = 2	-1, -1, -1, -1, -1, -1, -1
[ 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 country group by country order by count ( * ) desc limit 1	world
[ header: state \| passed \| referendum \| vote row 1 : s. carolina \| december 20, 1860 \| None \| None row 2 : mississippi \| january 9, 1861 \| None \| None row 3 : florida \| january 10, 1861 \| None \| None row 4 : alabama \| january 11, 1861 \| None \| None row 5 : georgia \| january 19, 1861 \| None \| None row 6 : louisiana \| january 26, 1861 \| None \| None row 7 : texas \| february 1, 1861 \| february 23 \| 46,153-14,747 row 8 : virginia \| april 17, 1861 \| may 23 \| 132,201-37,451 row 9 : arkansas \| may 6, 1861 \| None \| None row 10 : tennessee \| may 6, 1861 \| june 8 \| 104,471-47,183 row 11 : n. carolina \| may 20, 1861 \| None \| None row 12 : missouri \| october 31, 1861 \| None \| None row 13 : kentucky \| november 20, 1861 \| None \| None ] Execute this SQL based on the above table: select sum ( vote ) where state in ( 'n. carolina' , 'texas' )	46153
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select # where party = 'national unity party'	1.0, 2.0, 2.0, 2.0, 6.0
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select country where year = ( select year where country = 'united kingdom' ) - 1	india, india, india, india, india, india
[ header: city/municipality \| no. of barangays \| area (km2) \| population (2010 census) \| pop. density (per km2) row 1 : angono \| 10 \| 26.22 \| 102,407 \| 3,905.68 row 2 : antipolo \| 16 \| 306.10 \| 677,741 \| 2,214.12 row 3 : baras \| 10 \| 84.93 \| 32,609 \| 383.95 row 4 : binangonan \| 40 \| 66.34 \| 249,872 \| 3,766.54 row 5 : cainta \| 7 \| 42.99 \| 311,845 \| 7,253.90 row 6 : cardona \| 18 \| 28.56 \| 47,414 \| 1,660.15 row 7 : jalajala \| 11 \| 44.12 \| 30,074 \| 681.64 row 8 : morong \| 8 \| 37.58 \| 52,194 \| 1,388.88 row 9 : pililla \| 9 \| 69.95 \| 59,527 \| 850.99 row 10 : rodriguez \| 11 \| 312.70 \| 280,904 \| 898.32 row 11 : san mateo \| 15 \| 55.09 \| 205,255 \| 3,725.81 row 12 : tanay \| 19 \| 200.00 \| 98,879 \| 494.3 row 13 : taytay \| 5 \| 38.80 \| 288,956 \| 7,447.32 row 14 : teresa \| 9 \| 18.61 \| 47,163 \| 2,534.28 ] Execute this SQL based on the above table: select pop. density (per km2) where id = ( select id where pop. density (per km2) = '494.3' ) - 1	3,725.81
[ header: year \| venue \| standard result \| venue \| latin result row 1 : 1996 \| berlin \| tc ludwigsburg, \| vilnius \| tsc schwarz-gelb row 2 : 1999 \| elblag \| jantar elblag jan \| vilnius \| klaipeda university zuvedra team row 3 : 2001 \| berlin \| dsc kodryanka \| bremerhaven \| tsg bremerhaven, row 4 : 2002 \| kishinev \| dsc kodryanka \| vilnius \| klaipeda university zuvedra team row 5 : 2003 \| stuttgart \| dsc kodryanka \| essen \| klaipeda university zuvedra team row 6 : 2004 \| brunswick \| braunschweiger tsc, \| minsk \| klaipeda university team zuvedra row 7 : 2005 \| elblag \| braunschweiger tsc, \| munich \| klaipeda university zuvedra team row 8 : 2008 \| kishinev \| dsc kodryanka \| wiener neustadt, austria \| zuvedra klaipeda university, row 9 : 2009 \| ludwigsburg germany \| tc ludwigsburg german \| bremen, germany \| grun-gold-club bremen german row 10 : 2010 \| elblag, poland \| fs lotos-jantar ( \| moscow, russia \| vera tyumen, russia ] Execute this SQL based on the above table: select latin result where standard result = 'fs lotos-jantar (poland), braunschweiger tsc(germany)'	vera tyumen, russia, zuvedra klaipeda university, lithuania
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| innes ireland \| team lotus \| lotus-climax \| 1.00:14.8 \| 4 row 2 : 2 \| stirling moss \| rob walker racing team \| cooper-climax \| + 2.8 s \| 2 row 3 : 3 \| chris bristow \| yeoman credit racing team \| cooper-climax \| + 1:05.0 s \| 1 row 4 : 4 \| bruce mclaren \| cooper car company \| cooper-climax \| + 1:17.6 s \| 6 row 5 : 5 \| graham hill \| owen racing organisation \| brm \| 41 laps \| 9 row 6 : 6 \| jo bonnier \| owen racing organisation \| brm \| 41 laps \| 10 row 7 : 7 \| tony brooks \| g.a. vandervell \| vanwall \| 41 laps \| 8 row 8 : ret \| roy salvadori \| c.t. atkins / high \| cooper-climax \| transmission \| 5 row 9 : ret \| harry schell \| yeoman credit racing team \| cooper-climax \| throttle \| 3 row 10 : ret \| mike taylor \| taylor & crawley \| lotus-climax \| engine \| 13 row 11 : ret \| keith greene \| gilby engineering \| cooper-climax \| None \| 12 row 12 : ret \| alan stacey \| team lotus \| lotus-climax \| oil pipe \| 11 row 13 : ret \| dan gurney \| owen racing organisation \| brm \| accident \| 7 row 14 : wd \| jack brabham \| cooper car company \| cooper-climax \| None \| None row 15 : wd \| geoff richardson \| geoff richardson \| cooper \| None \| None ] Execute this SQL based on the above table: select count ( time/retired ) where grid > 838 and grid < 67	0
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select count ( * ) where year > 785	16
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select crystal drop of sweat (best helper) order by year desc limit 1	stijn vandenbergh
[ header: title \| artist \| year \| location/gps coordinates \| material \| dimensions \| owner row 1 : titanic memorial \| gertrude vanderbilt whi \| 1926 \| waterfront park, 4th & p \| granite & concrete \| sculpture: approx. 12 × 8 \| united states department of the interior row 2 : andrew w. mellon memorial \| sidney waugh & o \| 1949-1951 \| constitution ave & 6th s \| bronze, granite & quartz \| fountain: approx. diam: 38 \| united states department of the interior row 3 : the maine lobsterman \| victor kahill \| 1981 \| water st. & 6th \| bronze & granite \| sculpture: approx. 5 × 2 \| united states department of the interior row 4 : justice, the guardian of liberty \| hermon atkins macneil \| 1935 \| united states supreme court building \| marble \| approx. h. 18 ft \| architect of the capitol row 5 : figure of puck over fountain and pool \| brenda putnam \| 1932 \| folger shakespeare library \| marble \| sculpture: approx. h. 46 in \| folger shakespeare library row 6 : emancipation memorial \| thomas ball \| 1875 \| lincoln park 38°53′ \| bronze & granite \| sculpture: approx. 9 × 6 \| united states department of the interior row 7 : medallions on national archives \| james earle fraser, \| 1934 \| national archives and records administration, 7th & \| indiana limestone \| 13 medallions. each medallion: di \| national archives and records administration row 8 : darlington memorial fountain: nymph \| c. paul jennewein \| 1922 \| judiciary park at 5th & d \| gilded bronze \| figure: approx. h. 5 \| district of columbia ] Execute this SQL based on the above table: select location/gps coordinates where id = ( select id where location/gps coordinates = 'united states supreme court building' ) + 1	folger shakespeare library
[ header: no. \| date \| home team \| visiting team \| goals \| score \| result \| venue \| competition row 1 : 2 \| 25 mar 1992 \| scotland \| finland \| 41' 1-1 \| 1-1 \| draw \| hampden park, glasgow \| friendly row 2 : 3 \| 13 oct 1993 \| sweden \| finland \| 60' 3-2 \| 3-2 \| loss \| rasunda stadium, stockhol \| 1994 fifa world cup qualification row 3 : 5 \| 16 nov 1994 \| finland \| faroe islands \| 53' 2-0 72' 3-0 \| 5-0 \| win \| helsinki olym \| uefa euro 1996 qualifying row 4 : 7 \| 11 jun 1995 \| finland \| greece \| 45+1' 1-1 (pen.) \| 2-1 \| win \| helsinki olym \| uefa euro 1996 qualifying row 5 : 9 \| 2 feb 1997 \| turkey \| finland \| 17' 0-1 \| 1-1 \| draw \| ataturk stadium, denizli \| friendly row 6 : 12 \| 6 sep 1997 \| switzerland \| finland \| 16' 0-1 \| 1-2 \| win \| stade olympique de la pont \| 1998 fifa world cup qualification row 7 : 13 \| 14 oct 1998 \| turkey \| finland \| 90+6' 1-3 \| 1-3 \| win \| ali sami yen stadium, \| uefa euro 2000 qualifying row 8 : 14 \| 29 mar 2000 \| wales \| finland \| 21' 0-1 \| 1-2 \| win \| millennium stadium, cardiff \| friendly row 9 : 15 \| 16 aug 2000 \| finland \| norway \| 24' 1-0 61' 2-1 \| 3-1 \| win \| finnair stadium, helsink \| 2000-01 nordic football championship row 10 : 17 \| 2 sep 2000 \| finland \| albania \| 45 ' 1-0 \| 2-1 \| win \| finnair stadium, helsink \| 2002 fifa world cup qualification row 11 : 18 \| 15 aug 2001 \| finland \| belgium \| 3-0 (pen.) \| 4-1 \| win \| helsinki olym \| friendly row 12 : 20 \| 27 mar 2002 \| portugal \| finland \| 41' 1-3 53' 1-4 \| 1-4 \| win \| estadio do bessa \| friendly row 13 : 22 \| 30 apr 2003 \| finland \| iceland \| 55' 1-0 (pen.) \| 3-0 \| win \| pohjola stadion, my \| friendly row 14 : 23 \| 31 apr 2004 \| malta \| finland \| 86' 0-2 \| 1-2 \| win \| ta' qali national stadium, \| friendly row 15 : 25 \| 26 mar 2005 \| czech republic \| finland \| 46 ' 2-1 \| 4-3 \| loss \| na stinadle \| 2006 fifa world cup qualification row 16 : 27 \| 2 sep 2006 \| poland \| finland \| 54' 0-1 76' 0 \| 1-3 \| win \| zdzisław k \| uefa euro 2008 qualifying row 17 : 29 \| 6 feb 2008 \| finland \| greece \| 66' 1-0 \| 1-2 \| loss \| neo gsp stadium, \| friendly ] Execute this SQL based on the above table: select count ( score ) where no. = 23	1
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select count ( tally ) where county = 'clare'	2
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select city group by city order by count ( * ) limit 1	montreal
[ header: title \| release \| genre \| computer \| console \| handheld \| smartphone row 1 : bionicle heroes \| 2006 \| third-person shooter \| windows \| playstation 2, gamecube, xbox \| nintendo ds \| None row 2 : bionicle: matoran adventures \| 2002 \| platformer \| None \| None \| game boy advance \| None row 3 : bionicle: maze of shadows \| 2005 \| turn based rpg \| None \| None \| game boy advance \| None row 4 : bionicle: the game \| 2003 \| adventure \| windows, os x \| playstation 2, gamecube, xbox \| game boy advance \| None row 5 : drome racers \| 2002 \| racing \| windows \| playstation 2, gamecube, xbox \| game boy advance \| None row 6 : island xtreme stunts \| 2002 \| action-adventure \| windows \| playstation 2 \| game boy advance \| None row 7 : lego alpha team \| 2000 \| action \| windows \| None \| game boy color \| None row 8 : lego battles \| 2009 \| real-time strategy \| None \| None \| nintendo ds \| None row 9 : lego battles: ninjago \| 2011 \| real-time strategy \| None \| None \| nintendo ds \| ios row 10 : lego chess \| 1998 \| strategy \| windows \| None \| None \| None row 11 : lego city undercover \| 2013 \| open world, platform game \| None \| wii u \| None \| None row 12 : lego city undercover: the chase begins \| 2013 \| open world, platform game \| None \| None \| nintendo 3ds \| None row 13 : lego creationary \| 2011 \| puzzle \| None \| None \| None \| ios, android row 14 : lego creator: knights kingdom \| 2000 \| construction and management simulation \| windows \| None \| None \| None row 15 : lego friends \| 2013 \| miscellaneous \| None \| None \| nintendo ds, \| None row 16 : lego island \| 1997 \| action-adventure \| windows \| None \| None \| None row 17 : lego island 2 the brickster's revenge \| 2001 \| action-adventure \| windows \| playstation \| game boy color, game boy advance \| None row 18 : lego knights' kingdom \| 2004 \| action-adventure \| None \| None \| game boy advance \| None row 19 : lego legends of chima online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| None row 20 : lego legends of chima: speed \| 2013 \| racing \| windows \| None \| None \| ios row 21 : lego loco \| 1998 \| virtual world \| windows \| None \| None \| None row 22 : lego minifigures online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| ios, android row 23 : lego my style kindergarten \| 2000 \| educational \| windows, mac os \| None \| None \| None row 24 : lego my style preschool \| 2000 \| educational \| windows, mac os \| None \| None \| None row 25 : lego ninjago: the final \| 2013 \| platformer \| windows \| None \| None \| None row 26 : lego racers \| 1999 \| racing \| windows \| playstation, nintendo 64 \| game boy color \| None row 27 : lego racers 2 \| 2001 \| racing \| windows \| playstation 2 \| game boy advance \| None row 28 : lego rock raiders \| 1999 \| real-time strategy, action \| windows \| playstation \| None \| None row 29 : lego soccer mania \| 2002 \| sport \| windows \| playstation 2 \| game boy advance \| None row 30 : lego stunt rally \| 2000 \| racing \| windows \| None \| game boy color \| None row 31 : lego universe \| 2010 \| massively multiplayer online (mmo) \| windows, os x \| None \| None \| None row 32 : legoland \| 1999 \| simulation strategy \| windows \| None \| None \| None ] Execute this SQL based on the above table: select smartphone order by handheld asc limit 828	ios, android, ios, ios, android, ios
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select sum ( position ) where single in ( '"run"' , '"run"' , '"run"' )	124.0
[ header: state \| no. of candidates \| no. of elected \| total no. of seats in assembly \| year of election row 1 : andhra pradesh \| 12 \| 6 \| 294 \| 2004 row 2 : assam \| 19 \| 1 \| 126 \| 2001 row 3 : bihar \| 153 \| 5 \| 324 \| 2000 row 4 : chhattisgarh \| 18 \| 0 \| 90 \| 2003 row 5 : delhi \| 2 \| 0 \| 70 \| 2003 row 6 : goa \| 3 \| 0 \| 40 \| 2002 row 7 : gujarat \| 1 \| 0 \| 181 \| 2002 row 8 : haryana \| 10 \| 0 \| 90 \| 2000 row 9 : himachal pradesh \| 7 \| 0 \| 68 \| 2003 row 10 : jammu and kashmir \| 5 \| 0 \| 87 \| 2002 row 11 : karnataka \| 5 \| 0 \| 224 \| 2004 row 12 : kerala \| 22 \| 17 \| 140 \| 2006 row 13 : madhya pradesh \| 17 \| 0 \| 230 \| 2003 row 14 : maharashtra \| 19 \| 0 \| 288 \| 1999 row 15 : manipur \| 16 \| 4 \| 60 \| 2006 row 16 : meghalaya \| 3 \| 0 \| 60 \| 2003 row 17 : mizoram \| 4 \| 0 \| 40 \| 2003 row 18 : odisha \| 6 \| 1 \| 147 \| 2004 row 19 : puducherry \| 2 \| 0 \| 30 \| 2001 row 20 : punjab \| 11 \| 0 \| 117 \| 2006 row 21 : rajasthan \| 15 \| 0 \| 200 \| 2003 row 22 : tamil nadu \| 8 \| 6 \| 234 \| 2006 row 23 : tripura \| 2 \| 1 \| 60 \| 2003 row 24 : uttar pradesh \| 5 \| 0 \| 402 \| 2002 row 25 : uttarakhand \| 14 \| 0 \| 70 \| 2002 row 26 : west bengal \| 13 \| 8 \| 294 \| 2006 ] Execute this SQL based on the above table: select state where total no. of seats in assembly = 324	bihar
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select count ( * )	17
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select count ( * ) where venue > 471	7
[ header: protein \| natural host \| normal function \| prion state \| prion phenotype \| year identified row 1 : ure2p \| saccharomyces cerevisiae \| nitrogen catabolite repressor \| [ure3] \| growth on poor nitrogen sources \| 1994 row 2 : sup35p \| saccharomyces cerevisiae \| translation termination factor \| [psi+] \| increased levels of nonsense suppression \| 1994 row 3 : het-s \| podospora anserina \| regulates heterokaryon incompatibility \| [het-s] \| heterokaryon formation between incompatible strains \| 1997 row 4 : vacuolar protease b \| saccharomyces cerevisiae \| death in stationary phase, failure in meio \| [β] \| failure to degrade cellular proteins under n \| 2003 row 5 : map kinases \| podospora anserina \| increased pigment, slow growth \| [c] \| None \| 2006 row 6 : rnq1p \| saccharomyces cerevisiae \| protein template factor \| [rnq+],[pin+] \| promotes aggregation of other prions \| 2008 row 7 : mca1 \| saccharomyces cerevisiae \| putative yeast caspase \| [mca+] \| None \| 2008 row 8 : swi1 \| saccharomyces cerevisiae \| chromatin remodeling \| [swi+] \| poor growth on some carbon sources \| 2008 row 9 : cyc8 \| saccharomyces cerevisiae \| transcriptional repressor \| [oct+] \| transcriptional derepression of multiple genes \| 2009 row 10 : mot3 \| saccharomyces cerevisiae \| nuclear transcription factor \| [mot3+] \| transcriptional derepression of anaero \| 2009 row 11 : pma1+std1 \| saccharomyces cerevisiae \| pma1 = major plasma membrane proton pump \| [gar+] \| resistant to glucose-associated repression \| 2009 row 12 : sfp1 \| saccharomyces cerevisiae \| global transcriptional regulator \| [isp+] \| antisuppressor of certain sup \| 2010 row 13 : mod5 \| saccharomyces cerevisiae \| None \| [mod+] \| None \| 2012 ] Execute this SQL based on the above table: select normal function where normal function = 'translation termination factor'	translation termination factor
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( # of overall seats won ) where % of party list votes = 0	0
[ header: car \| engine \| compression \| power \| torque \| turbo \| stock boost \| turbine \| compressor row 1 : '89 u12 bluebird l \| redtop \| 8.5:1 \| 150 kw (201 hp) \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 2 : '91-'95 u13 blue \| redtop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 3 : '95-'97 w10 \| silvertop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 4 : '97-'01 w11 \| silvertop \| 8.5:1 \| 169 kw (227 hp \| 203 lb·ft (275 \| t-25bb \| 9psi \| None \| None row 5 : '90-'94 n14 \| redtop \| 8.3:1 \| 169 kw (227 hp \| 210 lb·ft (280 \| t-28 \| 7psi \| 79 trim 53 mm (2.1 in) \| 60 trim 60 mm bci-1 row 6 : '91-'93 s13 si \| redtop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 7 : '94-'98 s13 180 \| blacktop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 8 : '95-'99 s14 si \| blacktop \| 8.5:1 \| 162 kw (217 hp \| 203 lb·ft (275 \| t-28 \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 row 9 : '99-02 s15 sil \| blacktop \| 8.5:1 \| 183 kw (245 hp \| 202 lb·ft (274 \| t-28bb \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 ] Execute this SQL based on the above table: select ( select compression where compressor = '60 trim 60 mm bci-1 in t-04b housing' ) - ( select compression where compressor = '60 trim 56mm bci-1' )	0.0
[ header: name \| position \| height \| weight \| date of birth \| current/last known team row 1 : jonathan aldridge \| inf \| 5'10 \| 150 \| 10/20/1975 \| saskatoon legends (2003) row 2 : henrry alvarez \| c \| 6'2 \| 185 \| 10/20/1979 \| saskatoon legends (2003) row 3 : bobby brown \| of \| 5'11 \| 180 \| 05/24/1974 \| sioux city explorers - northern row 4 : derek cockroft \| p \| 6'4 \| 225 \| 11/23/1980 \| australian capital territory eagles row 5 : bienvenido feliz (note: \| p \| 6'1 \| 210 \| 06/04/1977 \| newark bears - atlantic league row 6 : david garcia \| p \| 6'5 \| 203 \| 11/08/1980 \| saskatoon legends (2003) row 7 : craig kilshaw \| p \| 6'3 \| 195 \| 02/14/1980 \| saskatoon legends (2003) row 8 : joe kirby \| inf \| 6'0 \| 180 \| 03/23/1979 \| brock university badgers - on row 9 : ryan koback \| p \| 6'6 \| 245 \| 12/31/1981 \| saskatoon yellow jackets row 10 : javier lorenzo \| p \| 6'0 \| 168 \| 12/26/1978 \| saskatoon legends (2003) row 11 : alejandro martinez \| inf \| 6'1 \| 215 \| 05/22/1977 \| laredo broncos - united row 12 : sean murphy \| inf \| 5'10 \| 180 \| 05/03/1972 \| elmira pioneers - northeast row 13 : jose olmeda \| inf \| 6'1 \| 170 \| 07/07/1977 \| edinburg coyotes - row 14 : darwin peguero \| p \| 6'0 \| 192 \| 12/05/1978 \| newark bears - atlantic league row 15 : frankie perez \| of \| 5'11 \| 185 \| 10/26/1978 \| saskatoon legends (2003) row 16 : jd scholten \| p \| 6'6 \| 228 \| 03/04/1980 \| sioux city explorers - american row 17 : chris seaton \| p \| 6'0 \| 195 \| 09/22/1978 \| schaumburg flyers - northern league row 18 : hirotaka shimizu \| of \| 5'11 \| 172 \| 01/18/1978 \| sichuan dragons - chines row 19 : matt teahen \| inf \| 6'0 \| 210 \| 02/27/1979 \| mid-missouri mavericks row 20 : angel tovar \| p \| 6'4 \| 195 \| 04/25/1978 \| olmecas de tabasco row 21 : carlos urquiola (note: the \| inf \| 5'8 \| 150 \| 04/22/1980 \| ceci & negri parma row 22 : ben van iderstine \| of \| 6'2 \| 200 \| 01/20/1978 \| sioux falls canaries - american association row 23 : kenny white \| p \| 6'1 \| 170 \| 11/27/1978 \| gary railcats - northern league (2004) ] Execute this SQL based on the above table: select date of birth where date of birth = ( select date of birth where date of birth = '02/14/1980' ) - 1	01/18/1978, 01/20/1978
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| hammer \| 54.43 m row 2 : 2005 \| alba games \| la habana, cuba \| 1st \| hammer \| 63.30 m row 3 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 4th \| hammer \| 60.49 m row 4 : 2005 \| pan american junior championships \| windsor, canada \| 1st \| hammer \| 64.80 m row 5 : 2006 \| nacac u23 championships \| santo domingo, dominican \| 2nd \| hammer \| 66.28 m row 6 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| hammer \| 68.70 m row 7 : 2007 \| world championships \| osaka, japan \| 9th \| hammer \| 70.20 m row 8 : 2008 \| olympic games \| beijing, china \| 15th (q) \| hammer \| 68.74 m row 9 : 2009 \| alba games \| la habana, cuba \| 2nd \| hammer \| 68.89 m row 10 : 2009 \| central american and caribbean championships \| havana, cuba \| 1st \| hammer \| 71.32 m row 11 : 2009 \| world championships \| berlin, germany \| 16th (q) \| hammer \| 69.97 m row 12 : 2011 \| pan american games \| guadalajara, me \| 4th \| hammer \| 68.88 m row 13 : 2012 \| olympic games \| london, united kingdom \| 23rd (q) \| hammer \| 67.93 m ] Execute this SQL based on the above table: select count ( competition ) where competition = 'world youth championships'	1
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select count ( * ) where crystal bicycle (best professional cyclist) > 1783	22
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select landline prefixes order by id desc limit 1	ndc + '45' + 4-5 digits
[ header: date announced \| plant name \| location \| date of closing \| products \| employees row 1 : january 23, 2006 \| st. louis assembly \| hazelwood, missouri \| 2006 \| ford explorer lincoln \| 1445 row 2 : january 23, 2006 \| atlanta assembly \| hapeville, georgia \| oct. 2006 \| ford taurus mercury sable \| 2028 row 3 : january 23, 2006 \| batavia transmission \| batavia, ohio \| 2008 \| transmissions \| 1745 row 4 : january 23, 2006 \| windsor casting \| windsor, ontario, canada \| 2008 \| engine blocks, parts \| 684 row 5 : january 23, 2006 \| wixom assembly \| wixom, michigan \| june 2007 \| lincoln town car lin \| 1567 row 6 : april 13, 2006 \| twin cities assembly \| st. paul, minneso \| 2011 \| ford ranger mazda b \| 1885 row 7 : april 13, 2006 \| norfolk assembly \| norfolk, virginia, \| 2007 \| ford f-series \| 2433 row 8 : september 14, 2006 \| essex engine \| windsor, ontario, canada \| 2008 \| ford triton engine ford esse \| None row 9 : september 14, 2006 \| maumee stamping \| maumee, ohio \| 2008 \| body panels \| None row 10 : total \| total \| total \| total \| total \| 11787 ] Execute this SQL based on the above table: select date of closing order by employees asc limit 1	2008
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select film where year = 1986	love 86
[ header: week \| date \| tv time \| opponent \| result \| game site \| record \| attendance \| bye row 1 : 1 \| september 7, 1998 \| abc 7:00 pm mt \| new england patriots \| w 27-21 \| mile high stadium (abc) \| 1-0 \| 74745 \| 0 row 2 : 2 \| september 13, 1998 \| fox 2:00 pm mt \| dallas cowboys \| w 42-23 \| mile high stadium (fox) \| 2-0 \| 75013 \| 0 row 3 : 3 \| september 20, 1998 \| cbs 2:00 pm mt \| at oakland raiders \| w 34-17 \| oakland-alameda county \| 3-0 \| 56578 \| 0 row 4 : 4 \| september 27, 1998 \| cbs 11:00 am mt \| at washington redskins \| w 38-16 \| fedex field (cbs) \| 4-0 \| 71880 \| 0 row 5 : 5 \| october 4, 1998 \| fox 2:00 pm mt \| philadelphia eagles \| w 41-16 \| mile high stadium (fox) \| 5-0 \| 73218 \| 0 row 6 : 6 \| october 11, 1998 \| cbs 2:00 pm mt \| at seattle seahawks \| w 21-16 \| kingdome (cbs) \| 6-0 \| 66258 \| 0 row 7 : 7 \| None \| None \| None \| None \| None \| None \| None \| 1 row 8 : 8 \| october 25, 1998 \| cbs 2:00 pm mt \| jacksonville jaguars \| w 37-24 \| mile high stadium (cbs) \| 7-0 \| 75217 \| 0 row 9 : 9 \| november 1, 1998 \| cbs 11:00 am mt \| at cincinnati bengals \| w 33-26 \| cinergy field (cbs) \| 8-0 \| 59974 \| 0 row 10 : 10 \| november 8, 1998 \| cbs 2:00 pm mt \| san diego chargers \| w 27-10 \| mile high stadium (cbs) \| 9-0 \| 74925 \| 0 row 11 : 11 \| november 16, 1998 \| abc 7:00 pm mt \| at kansas city chiefs \| w 30-7 \| arrowhead stadium (abc) \| 10-0 \| 78100 \| 0 row 12 : 12 \| november 22, 1998 \| cbs 2:00 pm mt \| oakland raiders \| w 40-14 \| mile high stadium (cbs) \| 11-0 \| 75325 \| 0 row 13 : 13 \| november 29, 1998 \| espn 6:15 pm mt \| at san diego chargers \| w 31-16 \| qualcomm stadium (espn \| 12-0 \| 66532 \| 0 row 14 : 14 \| december 6, 1998 \| cbs 2:00 pm mt \| kansas city chiefs \| w 35-31 \| mile high stadium (cbs) \| 13-0 \| 74962 \| 0 row 15 : 15 \| december 13, 1998 \| cbs 11:00 am mt \| at new york giants \| l 16-20 \| giants stadium (cbs) \| 13-1 \| 72336 \| 0 row 16 : 16 \| december 21, 1998 \| abc 7:00 pm mt \| at miami dolphins \| l 21-31 \| pro player stadium (abc) \| 13-2 \| 74363 \| 0 row 17 : 17 \| december 27, 1998 \| cbs 2:15 pm mt \| seattle seahawks \| w 28-21 \| mile high stadium (cbs) \| 14-2 \| 74057 \| 0 ] Execute this SQL based on the above table: select result where id = ( select id where result = 'w 30-7' ) + 1	w 40-14
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select count ( single ) where peak chart positions us != 0	10
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select count ( score in the final ) where date > 613	8
[ header: team \| home city \| stadium \| capacity \| last season row 1 : barak netanya \| netanya \| yeshurun \| 1000 \| 9th row 2 : bnei hasharon/her \| herzliya \| hayovel herzliya \| 1750 \| 10th row 3 : hapoel gilbo \| gilboa regional council \| gan ner sports hall \| 2400 \| 2nd row 4 : hapoel holon \| holon \| holon city arena \| 2850 \| 5th row 5 : hapoel jerusalem \| jerusalem \| malha arena \| 3000 \| 4th row 6 : ironi ashkelon \| ashkelon \| ashkelon sports arena \| 3000 \| 6th row 7 : maccabi ashdod \| ashdod \| hakiriya arena \| 1260 \| 7th row 8 : hapoel eilat \| eilat \| begin arena \| 1100 \| 8th (as habik'a row 9 : maccabi haifa \| haifa \| romema arena \| 5000 \| 11th row 10 : maccabi rishon lezion \| rishon lezion \| beit maccabi rishon \| 2500 \| 3rd row 11 : maccabi tel aviv \| tel aviv \| nokia arena \| 11700 \| 1st row 12 : hapoel tel aviv \| tel aviv \| beit maccabi rishon \| 2500 \| 1st (liga leumit) ] Execute this SQL based on the above table: select min ( capacity )	1000.0
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : uberlingen \| imperial city \| swab \| sw \| 1268 \| 1803: mediatized to baden row 2 : ulm \| 1155: free imperial city \| swab \| sw \| 1115 \| 1803: mediatized to bavaria row 3 : umpfenbach \| lordship 1805: hre \| None \| None \| None \| to trauttmansdorff row 4 : unterwalden \| imperial valley \| None \| None \| 1415 \| division into nidwalden and row 5 : upper salm \| 1163: county \| None \| None \| 1170 \| partitioned from salm 1499: raised row 6 : upper bavaria (oberbayern \| duchy \| None \| None \| 1255 \| None row 7 : upper schonburg \| county \| upp sax \| None \| 1569 \| partitioned from schonburg 1800: partitione row 8 : urach \| county \| None \| None \| None \| 1060: 1st mention of ur row 9 : uri \| imperial valley \| None \| None \| 1231 \| split off from habsburg 1648: left empire row 10 : ursberg \| 1143: hre abbey \| swab \| None \| None \| 1803; secularized row 11 : utrecht \| bishopric \| burg \| ec \| 1024 \| 1512: burgundian circle 1528 row 12 : uznach \| county \| None \| None \| None \| None ] Execute this SQL based on the above table: select circle where name > ( select name where circle = 'swab' ) order by name asc limit 1	swab
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select max ( м ) where character = 'macintosh cyrillic'	236.0
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where first elected = 2009	3
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 2 \| 38 \| bradley smith \| aprilia \| 22 \| 4.638 \| 3 \| 20 row 2 : 3 \| 44 \| pol espargaro \| derbi \| 22 \| 4.996 \| 2 \| 16 row 3 : 4 \| 11 \| sandro cortese \| derbi \| 22 \| 45.366 \| 5 \| 13 row 4 : 5 \| 7 \| efren vazquez \| derbi \| 22 \| 45.433 \| 8 \| 11 row 5 : 6 \| 71 \| tomoyoshi koyama \| aprilia \| 22 \| 49.685 \| 6 \| 10 row 6 : 7 \| 35 \| randy krummenacher \| aprilia \| 22 \| 49.735 \| 14 \| 9 row 7 : 8 \| 14 \| johann zarco \| aprilia \| 22 \| 49.743 \| 10 \| 8 row 8 : 9 \| 94 \| jonas folger \| aprilia \| 22 \| 49.775 \| 12 \| 7 row 9 : 10 \| 99 \| danny webb \| aprilia \| 22 \| 53.115 \| 16 \| 6 row 10 : 11 \| 26 \| adrian martin \| aprilia \| 22 \| 58.669 \| 19 \| 5 row 11 : 12 \| 15 \| simone grotzkyj \| aprilia \| 22 \| 58.8 \| 11 \| 4 row 12 : 13 \| 23 \| alberto moncayo \| aprilia \| 22 \| +1:02.050 \| 13 \| 3 row 13 : 14 \| 78 \| marcel schrotter \| honda \| 22 \| +1:15.497 \| 23 \| 2 row 14 : 15 \| 63 \| zulfahmi khai \| aprilia \| 22 \| +1:16.029 \| 18 \| 1 row 15 : 19 \| 58 \| joan perello \| honda \| 22 \| +1:36.223 \| 26 \| None row 16 : 20 \| 60 \| michael van der mark \| lambretta \| 22 \| +1:36.340 \| 27 \| None row 17 : 21 \| 59 \| johnny rosell \| honda \| 22 \| +1:43.804 \| 22 \| None row 18 : 22 \| 72 \| marco ravaioli \| lambretta \| 22 \| +1:55.331 \| 30 \| None row 19 : 23 \| 56 \| peter sebestyen \| aprilia \| 21 \| +1 lap \| 32 \| None row 20 : ret \| 40 \| nicolas terol \| aprilia \| 21 \| accident \| 4 \| None row 21 : ret \| 39 \| luis salom \| aprilia \| 14 \| retirement \| 15 \| None row 22 : ret \| 17 \| eduard lopez \| aprilia \| 11 \| retirement \| 31 \| None row 23 : ret \| 55 \| isaac vinales \| aprilia \| 10 \| accident \| 21 \| None row 24 : ret \| 50 \| sturla fagerhaug \| aprilia \| 7 \| accident \| 17 \| None row 25 : ret \| 12 \| esteve rabat \| aprilia \| 0 \| accident \| 7 \| None row 26 : ret \| 53 \| jasper iwema \| aprilia \| 0 \| accident \| 20 \| None row 27 : dns \| 32 \| lorenzo savadori \| aprilia \| None \| did not start \| 29 \| None ] Execute this SQL based on the above table: select no where time = '58.669'	26.0
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select matches where league = '2011-12'	22
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select low where high = 12265	9261
[ header: member \| party \| electorate \| state \| first elected row 1 : charles adermann \| country \| fisher \| qld \| 1943 row 2 : hon howard beale \| liberal \| parramatta \| nsw \| 1946 row 3 : doug berry \| liberal \| griffith \| qld \| 1949 row 4 : francis bland \| liberal \| warringah \| nsw \| 1951 row 5 : wilfred brimblecomb \| country \| maranoa \| qld \| 1951 row 6 : geoffrey brown \| liberal \| mcmillan \| vic \| 1949 row 7 : hon cyril chambers \| alp \| adelaide \| sa \| 1943 row 8 : joe clark \| alp \| darling \| nsw \| 1934 row 9 : fred daly \| alp \| grayndler \| nsw \| 1943 row 10 : billy davies \| alp \| cunningham \| nsw \| 1949 row 11 : jim eggins \| country \| lyne \| nsw \| 1949 row 12 : bill graham \| liberal \| st george \| nsw \| 1949 row 13 : bill grayden \| liberal \| swan \| wa \| 1949 row 14 : jo gullett \| liberal \| henty \| vic \| 1946 row 15 : jim harrison \| alp \| blaxland \| nsw \| 1949 row 16 : john howse \| liberal \| calare \| nsw \| 1946 row 17 : hon herbert johnson \| alp \| kalgoorlie \| wa \| 1940 row 18 : hugh leslie \| liberal \| moore \| wa \| 1949 row 19 : tony luchetti \| alp \| macquarie \| nsw \| 1951 row 20 : aubrey luck \| liberal \| darwin \| tas \| 1951 row 21 : philip lucock \| country \| lyne \| nsw \| 1953 row 22 : rt hon john mce \| country \| murray \| vic \| 1934 row 23 : john mcleay \| liberal \| boothby \| sa \| 1949 row 24 : hon william mcma \| liberal \| lowe \| nsw \| 1949 row 25 : william o'connor \| alp \| martin \| nsw \| 1946 row 26 : hubert opperman \| liberal \| corio \| vic \| 1949 row 27 : rt hon sir earle \| country \| cowper \| nsw \| 1919 row 28 : rupert ryan \| liberal \| flinders \| vic \| 1940 row 29 : winton turnbull \| country \| mallee \| vic \| 1946 row 30 : thomas white \| liberal \| balaclava \| vic \| 1929 ] Execute this SQL based on the above table: select state order by member desc limit 1	vic
[ header: date \| number \| type \| captain \| casualties \| sunk by row 1 : 4-may-43 \| u-209 \| viic \| heinrich brodda \| 46 \| catalina flying-boat of no. 5 row 2 : 5-may-43 \| u-638 \| viic \| oskar staudinger \| 44 \| hms sunflower row 3 : 5-may-43 \| u-531 \| ixc/40 \| herbert neckel \| 54 \| hms vidette row 4 : 6-may-43 \| u-192 \| ixc/40 \| werner happe \| 55 \| hms loosestrife row 5 : 6-may-43 \| u-125 \| ixc \| ulrich folkers \| 54 \| hms oribi, hm row 6 : 6-may-43 \| u-630 \| viic \| werner winkler \| 47 \| hms vidette row 7 : 6-may-43 \| u-438 \| viic \| heinrich hensohn \| 48 \| hms pelican ] Execute this SQL based on the above table: select abs ( ( select casualties where sunk by = 'hms oribi, hms snowflake' and sunk by = 'hms oribi, hms snowflake' ) - ( select casualties where sunk by = 'hms pelican' ) )	6.0
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : runner-up \| 1 \| 1975 \| bastad, sweden \| clay \| manuel orantes \| 0-6, 3-6 row 2 : runner-up \| 2 \| 1976 \| sao paulo, brazi \| carpet \| guillermo vilas \| 3-6, 0-6 row 3 : winner \| 1 \| 1976 \| santiago, chile \| clay \| carlos kirmayr \| 5-7, 6-4, 6-4 row 4 : winner \| 2 \| 1977 \| murcia, spain \| clay \| buster mottram \| 6-4, 6-0, 6-3 row 5 : runner-up \| 3 \| 1977 \| bogota, colombia \| clay \| guillermo vilas \| 1-6, 2-6, 3-6 row 6 : winner \| 3 \| 1978 \| cairo, egyp \| clay \| kjell johansson \| 4-6, 6-4, 6-4 row 7 : runner-up \| 4 \| 1978 \| indianapolis, u.s \| clay \| jimmy connors \| 0-6, 3-6 row 8 : winner \| 5 \| 1978 \| bournemouth, england \| clay \| paolo bertolucci \| 6-2, 6-1, 6-3 row 9 : winner \| 6 \| 1978 \| madrid, spain \| clay \| tomas smid \| 6-7, 6-3, 6-3, row 10 : winner \| 7 \| 1979 \| houston, u.s \| clay \| gene mayer \| 6-3, 2-6, 7-6 row 11 : runner-up \| 5 \| 1979 \| north conway, u.s \| clay \| harold solomon \| 7-5, 4-6, 6-7 row 12 : winner \| 9 \| 1979 \| boston, u.s \| clay \| hans gildemeister \| 6-3, 6-1 row 13 : runner-up \| 6 \| 1979 \| quito, ecuador \| clay \| victor pecci \| 6-2, 4-6, 2-6 row 14 : runner-up \| 7 \| 1979 \| santiago, chile \| clay \| hans gildemeister \| 5-7, 7-5, 4-6 row 15 : runner-up \| 8 \| 1981 \| vina del mar, chile \| clay \| victor pecci \| 4-6, 0-6 row 16 : runner-up \| 9 \| 1982 \| linz, austria \| clay \| anders jarryd \| 4-6, 6-4, 4-6 row 17 : runner-up \| 10 \| 1982 \| north conway, u.s \| clay \| ivan lendl \| 3-6, 2-6 row 18 : winner \| 11 \| 1982 \| indianapolis, u.s \| clay \| jimmy arias \| 7-5, 5-7, 6-3 row 19 : winner \| 12 \| 1983 \| la quinta, u.s \| hard \| eliot teltscher \| 6-4, 6-2 row 20 : winner \| 13 \| 1983 \| bournemouth, england \| clay \| tomas smid \| 2-6, 7-6, 7-5 row 21 : runner-up \| 11 \| 1983 \| hamburg, germany \| clay \| yannick noah \| 6-3, 5-7, 2-6, row 22 : runner-up \| 12 \| 1983 \| rome, italy \| clay \| jimmy arias \| 2-6, 7-6, 1-6, row 23 : winner \| 15 \| 1984 \| kitzbuhel, austria \| clay \| victor pecci \| 7-5, 3-6, 6-1 row 24 : winner \| 16 \| 1984 \| bordeaux, france \| clay \| francesco cancellotti \| 7-5, 6-1 ] Execute this SQL based on the above table: select no. order by no. desc limit 1	16
[ header: round \| pick \| player \| position \| school/club team row 1 : 1 \| 8 \| eric fraser \| s \| central michigan row 2 : 2 \| 16 \| tristan black \| lb \| wayne state row 3 : 3 \| 24 \| john hashem \| ot \| regina row 4 : 4 \| 28 \| spencer armstrong \| wr \| air force row 5 : 4 \| 30 \| steve myddelton \| de \| st. francis xa row 6 : 4 \| 32 \| scott mchenry \| sb \| saskatchewan row 7 : 5 \| 40 \| osie ukwuoma \| dl \| queen's row 8 : 6 \| 48 \| john kanaroski \| wr \| regina ] Execute this SQL based on the above table: select school/club team where position = 'dl'	queen's
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select enrollment where nickname = 'v-hawks'	2991
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| commonwealth games \| victoria, canada \| 6th \| 400 m h row 2 : 1995 \| world championships \| gothenburg, sweden \| 6th \| 400 m h row 3 : 1997 \| world championships \| athens, greece \| 7th \| 4x400 m relay row 4 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 3rd \| 400 m h row 5 : 1998 \| african championships \| dakar, senegal \| 2nd \| 400 m h row 6 : 1999 \| all-africa games \| johannesburg, south africa \| 2nd \| 400 m h ] Execute this SQL based on the above table: select venue where position = '7th'	athens, greece
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where bronze <= 2	trinidad and tobago, colombia, martinique, antigua and barbuda, suriname, bermuda, panama, cayman islands, saint kitts and nevis
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select county where enrollment (2010-11 & 2011-12) > 314 order by enrollment (2010-11 & 2011-12) asc limit 1	nodaway
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select count ( * ) where victor = 'this was the first battle of the goliad campaign. the johnson-grant venture, the first battle of the texas revolution in which the mexican army was the victor. from the johnson forces, 20 texans killed, 32 captured and 1 mexican loss, 4 wounded. johnson and 4 others escaped after capture and proceeded to goliad. johnson would survive the texas revolution'	0
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select species group by species order by count ( * ) desc limit 1	white spruce
[ header: week \| date \| opponent \| home/away \| result \| bye row 1 : 1 \| february 8 \| new orleans voodoo \| home \| l 42-34 \| 0 row 2 : 2 \| february 15 \| dallas desperados \| away \| l 51-47 \| 0 row 3 : 3 \| february 21 \| columbus destroyers \| home \| w 56-34 \| 0 row 4 : 4 \| february 29 \| tampa bay storm \| away \| l 40-37 \| 0 row 5 : 5 \| march 7 \| chicago rush \| home \| w 53-47 \| 0 row 6 : 6 \| march 13 \| columbus destroyers \| away \| l 43-41 \| 0 row 7 : 7 \| march 21 \| colorado crush \| home \| l 40-33 \| 0 row 8 : 8 \| march 28 \| austin wranglers \| away \| w 65-60 \| 0 row 9 : 9 \| april 4 \| dallas desperados \| home \| w 47-31 \| 0 row 10 : 10 \| None \| None \| week \| None \| 1 row 11 : 11 \| april 17 \| carolina cobras \| away \| l 63-59 \| 0 row 12 : 12 \| april 24 \| new york dragons \| home \| w 60-58 \| 0 row 13 : 13 \| may 1 \| colorado crush \| away \| l 58-40 \| 0 row 14 : 14 \| may 8 \| las vegas gladiators \| home \| l 63-35 \| 0 row 15 : 15 \| may 15 \| carolina cobras \| home \| l 46-43 \| 0 row 16 : 16 \| may 22 \| san jose sabercat \| away \| l 48-36 \| 0 row 17 : 17 \| may 30 \| new york dragons \| away \| l 69-54 \| 0 ] Execute this SQL based on the above table: select home/away where opponent = 'columbus destroyers'	home, away
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select school where id = ( select id where school = 'lafayette high school' ) + 1	maryville high school
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select gf where home = '0-8'	150.0
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select count ( original owner ) where works number is null	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 where conference in ( 'wikimania 2013' , 'wikimania 2005' ) and place = 'hong kong'	wikimania 2013
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select entrant where grid = 22	scirocco-powell (racing cars)
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select nationality order by time desc limit 1	australia
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select abs ( ( select year where event = '60m hurdles' ) - ( select year where event = '60m hurdles' ) )	0
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select location order by attendance desc limit 1	air canada centre
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( * ) where record = '3-4-2'	1
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select count ( notes )	6
[ header: year \| title \| role \| notes row 1 : 1995 \| polio water \| diane \| short film row 2 : 1996 \| new york crossing \| drummond \| television film row 3 : 1997 \| lawn dogs \| devon stockard \| None row 4 : 1999 \| pups \| rocky \| None row 5 : 1999 \| notting hill \| 12-year-old actress \| None row 6 : 1999 \| the sixth sense \| kyra collins \| None row 7 : 2000 \| paranoid \| theresa \| None row 8 : 2000 \| skipped parts \| maurey pierce \| None row 9 : 2000 \| frankie & hazel \| francesca 'frankie' \| television film row 10 : 2001 \| lost and delirious \| mary 'mouse' bedford \| None row 11 : 2001 \| julie johnson \| lisa johnson \| None row 12 : 2001 \| tart \| grace bailey \| None row 13 : 2002 \| a ring of endless light \| vicky austin \| television film row 14 : 2003 \| octane \| natasha 'nat' \| None row 15 : 2006 \| the oh in ohio \| kristen taylor \| None row 16 : 2007 \| closing the ring \| young ethel ann \| None row 17 : 2007 \| st trinian's \| jj french \| None row 18 : 2007 \| virgin territory \| pampinea \| None row 19 : 2008 \| assassination of a high school \| francesca fachini \| None row 20 : 2009 \| walled in \| sam walczak \| None row 21 : 2009 \| homecoming \| shelby mercer \| None row 22 : 2010 \| don't fade away \| kat \| None row 23 : 2011 \| you and i \| lana \| None row 24 : 2012 \| into the dark \| sophia monet \| None row 25 : 2012 \| ben banks \| amy \| None row 26 : 2012 \| apartment 1303 3d \| lara slate \| None row 27 : 2012 \| cyberstalker \| aiden ashley \| television film row 28 : 2013 \| bhopal: a prayer for rain \| eva gascon \| None row 29 : 2013 \| a resurrection \| jessie \| also producer row 30 : 2013 \| l.a. slasher \| the actress \| None row 31 : 2013 \| gutsy frog \| ms. monica \| television film ] Execute this SQL based on the above table: select title where id = 1	polio water
[ header: fence \| name \| jockey \| age \| handicap (st-lb) \| starting price \| fate row 1 : 22 \| what a myth \| paul kelleway \| 9 \| 11-4 \| 11/2 \| fell row 2 : 3 \| rough tweed \| pat buckley \| 12 \| 10-7 \| 22/1 \| fell row 3 : None \| kapeno \| david mould \| 9 \| 10-6 \| 100/7 \| fell row 4 : 6 \| packed home \| tommy carberry \| 11 \| 10-3 \| 33/1 \| fell row 5 : 22 \| greek scholar \| michael scudamore \| 7 \| 10-4 \| 50/1 \| fell row 6 : None \| brown diamond \| frank shortt \| 11 \| 10-0 \| 100/1 \| fell row 7 : 6 \| popham down \| willie robinson \| 9 \| 10-0 \| 22/1 \| fell row 8 : None \| pontin-go \| tm jones \| 14 \| 10-0 \| 100/1 \| fell row 9 : 15 \| game purston \| paddy cowley \| 8 \| 10-0 \| 100/1 \| fell row 10 : 22 \| supersweet \| mr d crossley-cook \| 9 \| 10-6 \| 100/1 \| fell row 11 : None \| major hitch \| paddy broderick \| 8 \| 10-1 \| 50/1 \| fell row 12 : 15 \| irish day \| jimmy magee \| 10 \| 10-0 \| 40/1 \| fell row 13 : None \| scottish final \| j gamble \| 9 \| 10-0 \| 100/1 \| fell row 14 : None \| flamecap \| f carroll \| 9 \| 10-0 \| 100/1 \| fell row 15 : 15 \| black spot \| jeremy speid-soo \| 9 \| 10-0 \| 100/1 \| fell row 16 : None \| harry black \| r court \| 9 \| 10-0 \| 100/1 \| fell row 17 : None \| flying wild \| pat taaffe \| 10 \| 11-0 \| 20/1 \| pulled up row 18 : None \| stirling \| hr beasley \| 10 \| 10-11 \| 28/1 \| pulled up row 19 : None \| vultrix \| stan mellor \| 8 \| 10-7 \| 100/7 \| pulled up row 20 : None \| solimyth \| mr john lawrence \| 10 \| 10-1 \| 100/1 \| pulled up row 21 : None \| april rose \| major piers bengough \| 11 \| 10-7 \| 100/1 \| pulled up row 22 : None \| l'empereur \| beltran osorio \| 12 \| 10-2 \| 100/1 \| pulled up row 23 : 14 \| willow king \| liam mcloughlin \| 11 \| 10-0 \| 100/1 \| pulled up row 24 : None \| royal ryse \| t hyde \| 8 \| 10-0 \| 100/1 \| pulled up row 25 : None \| mac's flare \| r langley \| 10 \| 10-0 \| 100/1 \| pulled up row 26 : None \| king pin \| mr tim durant \| 10 \| 10-11 \| 100/1 \| pulled up row 27 : None \| in haste \| j leech \| 8 \| 10-3 \| 100/1 \| pulled up row 28 : None \| my gift \| a redmond \| 10 \| 10-0 \| 100/1 \| pulled up row 29 : None \| bold biri \| j lehane \| 10 \| 10-0 \| 100/1 \| pulled up row 30 : 22 \| valouis \| e prendergast \| 7 \| 10-0 \| 50/1 \| brought down row 31 : 22 \| leslie \| mr jm opperman \| 10 \| 10-5 \| 100/1 \| brought down row 32 : None \| dorimont \| mr w shand-ky \| 12 \| 10-0 \| 50/1 \| unseated rider row 33 : 15 \| fujino-o \| jeff king \| 7 \| 12-0 \| 100/1 \| refused row 34 : None \| monarch's thought \| g cramp \| 12 \| 10-0 \| 100/1 \| refused row 35 : 6 \| groomsman \| mr s roberts \| 11 \| 11-0 \| 100/1 \| refused ] Execute this SQL based on the above table: select handicap (st-lb) where handicap (st-lb) > ( select handicap (st-lb) where handicap (st-lb) = '10-0' ) order by handicap (st-lb) asc limit 1	10-1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| nigeria \| 14 \| 12 \| 9 \| 35 row 2 : 2 \| algeria \| 9 \| 4 \| 4 \| 17 row 3 : 3 \| kenya \| 8 \| 11 \| 4 \| 23 row 4 : 4 \| ethiopia \| 2 \| 4 \| 7 \| 13 row 5 : 5 \| ghana \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| ivory coast \| 2 \| 1 \| 3 \| 6 row 7 : 7 \| egypt \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| senegal \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| morocco \| 1 \| 1 \| 1 \| 3 row 10 : 10 \| tunisia \| 0 \| 3 \| 1 \| 4 row 11 : 11 \| madagascar \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| rwanda \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| zimbabwe \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| seychelles \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where silver < ( select silver where nation = 'tunisia' ) order by silver desc limit 1	ghana
[ header: season \| division \| tms. \| pos. \| fa cup \| afc cl row 1 : 2003 \| 1 \| 12 \| 11 \| quarter final \| row 2 : 2004 \| 1 \| 13 \| 10 \| round of 32 \| row 3 : 2005 \| 1 \| 13 \| 8 \| quarter final \| row 4 : 2006 \| 1 \| 14 \| 7 \| quarter final \| row 5 : 2007 \| 1 \| 14 \| 12 \| round of 16 \| row 6 : 2008 \| 1 \| 14 \| 11 \| semi final \| row 7 : 2009 \| 1 \| 15 \| 15 \| quarter-final \| row 8 : 2010 \| 1 \| 15 \| 15 \| round of 32 \| row 9 : 2011 \| 1 \| 16 \| 12 \| round of 32 \| row 10 : 2012 \| 1 \| 16 \| 10 \| round of 16 \| ] Execute this SQL based on the above table: select fa cup where pos. < ( select pos. where fa cup = 'round of 32' ) order by pos. desc limit 1	quarter final

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input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: date \| time \| opponent \| site \| tv \| result \| attendance \| record row 1 : 11/03/2012 \| 7:30 pm \| central missouri \| dunn center • clarksville, \| None \| w 75-66 \| None \| None row 2 : 11/09/2012 \| 7:00 pm \| samford \| dunn center • clarksville, \| None \| w 75-64 \| 2315 \| 1-0 row 3 : 11/13/2012 \| 7:00 pm \| at wku \| e. a. diddle arena • \| None \| l 54-74 \| 4160 \| 1-1 row 4 : 11/20/2012 \| 12:30 pm \| vs. western carolina \| moon palace resort • cancun, mex \| None \| w 72-71 \| 902 \| 2-2 row 5 : 11/28/2012 \| 7:00 pm \| berea \| dunn center • clarksville, \| None \| w 108-53 \| 2023 \| 3-3 row 6 : 12/01/2012 \| 7:30 pm \| fairfield \| dunn center • clarksville, \| None \| l 55-74 \| 2208 \| 3-4 row 7 : 12/05/2012 \| 7:00 pm \| oakland city \| dunn center • clarksville, \| None \| w 88-63 \| 2012 \| 4-4 row 8 : 12/08/2012 \| 12:00 pm \| at memphis \| fedexforum • memphis, t \| None \| l 65-83 \| 15249 \| 4-5 row 9 : 12/16/2012 \| 2:05 pm \| at arkasnas state \| convocation center • jonesboro, ar \| None \| l 57-69 \| 2652 \| 4-6 row 10 : 12/18/2012 \| 7:00 pm \| lipscomb \| dunn center • clarksville, \| None \| l 84-87 \| 2498 \| 4-7 row 11 : 12/28/2012 \| 3:30 pm \| vs. utah valley \| mckenzie arena • chattano \| None \| l 77-84 \| 2568 \| 4-9 row 12 : 12/29/2012 \| 3:30 pm \| vs. high point \| mckenzie arena • chattano \| None \| l 74-76 \| 2534 \| 4-10 row 13 : 01/03/2013 \| 7:00 pm \| at southeast missouri state \| show me center • cape girardeau \| None \| l 84-86 \| 1845 \| 4-11 (0-1) row 14 : 01/05/2013 \| 6:20 pm \| at tennessee-martin \| skyhawk arena • martin, t \| None \| l 74-76 ot \| 2578 \| 4-12 (0-2) row 15 : 01/12/2013 \| 7:30 pm \| murray state \| dunn center • clarksville, \| espn3 \| l 68-71 \| 4718 \| 5-13 (1-3) row 16 : 01/17/2013 \| 7:00 pm \| siu edwardsville \| dunn center • clarksville, \| None \| l 53-66 \| 2014 \| 5-14 (1-4) row 17 : 01/19/2013 \| 7:30 pm \| eastern illinois \| dunn center • clarksville, \| None \| l 67-77 \| 2517 \| 5-15 (1-5) row 18 : 02/07/2013 \| 7:00 pm \| tennessee state \| dunn center • clarksville, \| None \| l 82-88 ot \| 2186 \| 5-19 (1-9) row 19 : 02/20/2013 \| 6:00 pm \| at eastern kentucky \| alumni coliseum • richmond, \| None \| l 53-91 \| 3400 \| 7-21 (3-11) ] Execute this SQL based on the above table: select record where record != '4-7' and time = ( select time where record = '4-7' )	1-0, 1-1, 3-3, 3-4, 4-4, 4-11 (0-1), 5-13 (1-3), 5-14 (1-4), 5-15 (1-5), 5-19 (1-9)
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| beijing marathon \| beijing, pr china \| 7th \| marathon \| 2:10:46 row 2 : 2002 \| beijing marathon \| beijing, pr china \| 1st \| marathon \| 2:13:09 row 3 : 2004 \| olympic games \| athens, greece \| 31st \| marathon \| 2:19:26 row 4 : 2007 \| xiamen international marathon \| xiamen, pr china \| 1st \| marathon \| 2:13:17 row 5 : 2007 \| world championships \| osaka, japan \| 43rd \| marathon \| 2:32:44 row 6 : 2008 \| olympic games \| beijing, pr china \| 51st \| marathon \| 2:24:08 ] Execute this SQL based on the above table: select competition where id = ( select id where competition = 'olympic games' ) - 1	beijing marathon
[ header: name \| party \| province \| term expires \| years in office row 1 : william atkinson \| liberal \| central \| 1989 \| 1983-1984 row 2 : colin bell \| liberal \| lower west \| 1989 \| 1983-1989 row 3 : joe berinson \| labor \| north central metropolitan \| 1986 \| 1980-1993 row 4 : james brown \| labor \| south-east \| 1986 \| 1980-1992 row 5 : eric charlton \| national/np \| central \| 1989 \| 1984-1998 row 6 : des dans \| labor \| south metropolitan \| 1989 \| 1971-1989 row 7 : peter dowding \| labor \| north \| 1986 \| 1980-1986 row 8 : graham edwards \| labor \| north metropolitan \| 1989 \| 1983-1997 row 9 : lyla elliott \| labor \| north-east metropolitan \| 1986 \| 1971-1986 row 10 : vic ferry \| liberal \| south-west \| 1989 \| 1965-1987 row 11 : harry gayfer \| national/ncp \| central \| 1986 \| 1974-1989 row 12 : clive griffiths \| liberal \| south central metropolitan \| 1989 \| 1965-1997 row 13 : kay hallahan \| labor \| south-east metropolitan \| 1989 \| 1983-1993 row 14 : bob hetherington \| labor \| south-east metropolitan \| 1986 \| 1977-1989 row 15 : garry kelly \| labor \| south metropolitan \| 1986 \| 1982-1993 row 16 : thomas knight \| liberal \| south \| 1986 \| 1974-1986 row 17 : sandy lewis \| liberal \| lower central \| 1986 \| 1974-1989 row 18 : phil lockyer \| liberal \| lower north \| 1986 \| 1980-1997 row 19 : margaret mcaleer \| liberal \| upper west \| 1986 \| 1974-1993 row 20 : fred mckenzie \| labor \| north-east metropolitan \| 1989 \| 1977-1993 row 21 : graham mackinnon \| liberal \| south west \| 1986 \| 1956-1986 row 22 : thomas mcneil \| national/np \| upper west \| 1989 \| 1977-1989 row 23 : gordon masters \| liberal \| west \| 1986 \| 1974-1989 row 24 : ian medcalf \| liberal \| metropolitan \| 1986 \| 1968-1986 row 25 : norman moore \| liberal \| lower north \| 1989 \| 1977-2013 row 26 : mark nevill \| labor \| south-east \| 1989 \| 1983-2001 row 27 : neil oliver \| liberal \| west \| 1989 \| 1977-1989 row 28 : phillip pendal \| liberal \| south central metropolitan \| 1986 \| 1980-1993 row 29 : sam piantadosi \| labor \| north central metropolitan \| 1989 \| 1983-1996 row 30 : ian pratt \| liberal \| lower west \| 1986 \| 1974-1986 row 31 : tom stephens \| labor \| north \| 1989 \| 1982-2004 row 32 : bill stretch \| liberal \| lower central \| 1989 \| 1983-2005 row 33 : peter wells \| liberal \| north metropolitan \| 1986 \| 1980-1986 row 34 : richard williams \| liberal \| metropolitan \| 1989 \| 1971-1989 row 35 : david wordsworth \| liberal \| south \| 1989 \| 1971-1993 ] Execute this SQL based on the above table: select ( select count ( province ) ) > 24	1
[ header: year \| game \| developer \| setting \| platform \| notes row 1 : 1984 \| millionaire \| incentive software \| modern \| zx, bbc \| None row 2 : 1984 \| mugsy \| melbourne house \| historical \| zx \| None row 3 : 1992 \| patrician, the \| ascaron \| historical \| ami, dos, st \| first title in the series row 4 : 1993 \| dinopark tycoon \| mecc, manley & associates \| sci-fi \| 3do, dos, mac, win \| None row 5 : 1994 \| simhealth \| thinking tools \| modern \| dos \| None row 6 : 1994 \| simtower \| openbook \| modern \| mac, win3x, win9x \| None row 7 : 1995 \| kaiser deluxe \| linel \| historical \| dos, win \| remake of kaiser row 8 : 1997 \| herrscher der meere \| novatrix \| historical \| dos \| None row 9 : 1997 \| industry giant \| jowood \| modern \| win \| first title in the series row 10 : 1998 \| gangsters: organized crime \| hothouse \| historical \| win \| None row 11 : 1999 \| harvest moon 2 \| pack-in-video \| fantasy \| gbc \| sequel to harvest moon row 12 : 1999 \| x: beyond the frontier \| egosoft \| sci-fi \| win \| first title in the series row 13 : 2001 \| monopoly tycoon \| deep red \| modern \| win \| None row 14 : 2001 \| tv tycoon \| niels bauer \| modern \| win \| None row 15 : 2001 \| zoo tycoon \| blue fang \| modern \| ds, mac, win \| first title in the series row 16 : 2002 \| lemonade tycoon \| hexacto, jamdat \| modern \| palm, ppc, mobi, \| None row 17 : 2002 \| snowboard park tycoon \| cat daddy \| modern \| win \| None row 18 : 2003 \| atlantis underwater tycoon \| activision \| modern \| win \| None row 19 : 2003 \| casino, inc: the management \| hothouse \| modern \| win \| expansion to casino, inc row 20 : 2003 \| harvest moon: more friends of mineral town \| marvelous \| fantasy \| gba \| "female" version of harvest moon: row 21 : 2003 \| tropico 2: pirate cove \| frog city \| historical \| osx, win \| None row 22 : 2004 \| railroad tycoon 3: coast to \| poptop \| historical \| win \| expansion to railroad tycoon 3 row 23 : 2005 \| harvest moon ds \| marvelous \| fantasy \| ds \| None row 24 : 2006 \| anno 1701 \| related \| historical \| ds, win \| sequel to anno 1503: the new world row 25 : 2006 \| prison tycoon 2: maximum security \| virtual playground \| modern \| win \| sequel to prison tycoon row 26 : 2006 \| sid meier's railroads! \| firaxis \| historical \| win \| sequel to railroad tycoon 3 row 27 : 2006 \| tycoon city: new york \| deep red \| modern \| win \| None row 28 : 2007 \| catan \| big huge \| fantasy \| xbla \| None row 29 : 2008 \| x3: terran conflict \| egosoft \| sci-fi \| osx, win \| sequel to x3: reunion row 30 : 2010 \| gamebiz 3 \| velocigames \| modern \| win \| sequel to gamebiz 2 row 31 : 2011 \| tropico 4 \| haemimont games \| modern \| win, x360 \| None row 32 : 2011 \| anno 2070 \| related designs, ubisoft blue byte \| sci-fi \| win \| None row 33 : None \| jurassic genetics \| flaming nebula studios \| sci-fi \| win, mac \| None ] Execute this SQL based on the above table: select setting where setting in ( 'modern' , 'modern' ) group by setting order by count ( * ) desc limit 1	modern
[ header: \| player \| nationality \| drafted by \| year \| round \| overall row 1 : w \| harald luckner \| sweden \| new york islanders \| 1977 \| 7th \| 121st row 2 : d \| bjorn olsson \| sweden \| st. louis blues \| 1977 \| 9th \| 147th row 3 : c \| bengt-ake gustafs \| sweden \| washington capitals \| 1978 \| 4th \| 55th row 4 : f \| dan hermansson \| sweden \| st. louis blues \| 1978 \| 10th \| 175th row 5 : w \| hakan loob \| sweden \| calgary flames \| 1980 \| 9th \| 181st row 6 : w \| jan ingman \| sweden \| montreal canadiens \| 1981 \| 1st \| 19th row 7 : lw \| magnus roupe \| sweden \| philadelphia flyers \| 1982 \| 9th \| 182nd row 8 : c \| thomas rundkvist \| sweden \| montreal canadiens \| 1983 \| 10th \| 198th row 9 : rw \| lars karlsson \| sweden \| detroit red wings \| 1984 \| 8th \| 152nd row 10 : d \| fredrik olausson \| sweden \| winnipeg jets \| 1985 \| 4th \| 81st row 11 : d \| mattias olsson \| sweden \| los angeles kings \| 1991 \| 10th \| 218th row 12 : c \| mathias johansson \| sweden \| calgary flames \| 1992 \| 3rd \| 54th row 13 : rw \| jonas hoglund \| sweden \| calgary flames \| 1992 \| 10th \| 222nd row 14 : d \| anders myrvold \| norway \| quebec nordiques \| 1993 \| 5th \| 127th row 15 : d \| henrik rehnberg \| sweden \| new jersey devils \| 1995 \| 4th \| 96th row 16 : rw \| kristian huselius \| sweden \| florida panthers \| 1997 \| 2nd \| 47th row 17 : lw \| peter nordstrom \| sweden \| boston bruins \| 1998 \| 3rd \| 78th row 18 : d \| jonas frogren \| sweden \| calgary flames \| 1998 \| 8th \| 206th row 19 : d \| pelle prestberg \| sweden \| mighty ducks of anaheim \| 1998 \| 9th \| 233rd row 20 : c \| tore vikingstad \| norway \| st. louis blues \| 1999 \| 6th \| 180th row 21 : lw \| andreas jamtin \| sweden \| detroit red wings \| 2001 \| 5th \| 157th row 22 : d \| robin jonsson \| sweden \| st. louis blues \| 2002 \| 4th \| 120th row 23 : d \| pierre johnsson \| sweden \| calgary flames \| 2002 \| 7th \| 207th row 24 : d \| per johnsson \| sweden \| calgary flames \| 2006 \| 7th \| 209th row 25 : c \| marcus johansson \| sweden \| washington capitals \| 2009 \| 1st \| 24th row 26 : f \| henrik bjorklund \| sweden \| calgary flames \| 2009 \| 4th \| 111th row 27 : g \| johan gustafsson \| sweden \| minnesota wild \| 2010 \| 6th \| 159th ] Execute this SQL based on the above table: select year order by year desc limit 1	2010
[ header: rank \| group \| name \| nationality \| 2.05 \| 2.15 \| 2.19 \| 2.23 \| 2.26 \| result \| notes row 1 : 1 \| a \| nicola ciotti \| italy \| None \| o \| o \| o \| o \| 2.26 \| q row 2 : 1 \| a \| linus thornblad \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 3 : 1 \| b \| oskari frosen \| finland \| None \| o \| o \| o \| o \| 2.26 \| q row 4 : 1 \| b \| stefan holm \| sweden \| None \| o \| o \| o \| o \| 2.26 \| q row 5 : 1 \| b \| svatoslav ton \| czech republic \| None \| o \| o \| o \| o \| 2.26 \| q row 6 : 7 \| a \| niki palli \| israel \| o \| o \| o \| o \| xo \| 2.26 \| q row 7 : 7 \| b \| yaroslav rybakov \| russia \| None \| o \| o \| o \| xo \| 2.26 \| q row 8 : 9 \| b \| giulio ciotti \| italy \| None \| o \| xo \| o \| xo \| 2.26 \| q row 9 : 11 \| a \| ivan ukhov \| russia \| None \| None \| None \| o \| None \| 2.23 \| q row 10 : 11 \| a \| andrea bettinelli \| italy \| None \| o \| o \| o \| xxx \| 2.23 \| q row 11 : 14 \| a \| martyn bernard \| united kingdom \| None \| o \| xxo \| xo \| xxx \| 2.23 \| None row 12 : 15 \| b \| peter horak \| slovakia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 13 : 15 \| b \| normunds pupols \| latvia \| None \| o \| o \| xxo \| xxx \| 2.23 \| None row 14 : 17 \| a \| germaine mason \| united kingdom \| None \| o \| o \| xxx \| None \| 2.19 \| None row 15 : 17 \| b \| rozle prezelj \| slovenia \| o \| o \| o \| xxx \| None \| 2.19 \| None row 16 : 19 \| a \| heikki tanel \| finland \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 17 : 19 \| b \| andriy sokolovskyy \| ukraine \| None \| xo \| o \| xxx \| None \| 2.19 \| None row 18 : 21 \| b \| mickael hanany \| france \| None \| xo \| xo \| xxx \| None \| 2.19 \| None row 19 : 22 \| b \| javier bermejo \| spain \| o \| o \| xxx \| None \| None \| 2.15 \| None row 20 : 23 \| a \| osku torro \| finland \| None \| xo \| x- \| x \| None \| 2.15 \| None row 21 : 24 \| a \| jan-peter larsen \| netherlands \| o \| xxx \| None \| None \| None \| 2.05 \| None row 22 : None \| b \| adam scarr \| united kingdom \| None \| xxx \| None \| None \| None \| nm \| None ] Execute this SQL based on the above table: select 2.05 order by 2.15 asc limit 1685	o, o, o, o
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select count ( winner ) where date = '25-dec-97'	1
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select count ( * ) where tyres = 1372	0
[ header: # \| name \| strike tone (st-1/16) \| weight (kg) \| diameter (mm) \| inscription row 1 : 1 \| maria \| g0 +8 \| 6045 \| 2075 \| + o mater alma christ row 2 : 2 \| carolus \| h0 +7 \| 2900 \| 1628 \| honor et cultus, que row 3 : 3 \| johannes evangelista \| d1 +8 \| 1400 \| 1367 \| nascentes inter soci row 4 : 4 \| johannes baptista \| e1 +7 \| 1225 \| 1217 \| johannes baptista or row 5 : 5 \| leopardus \| fis1 +3 \| 850 \| 1078 \| sancte leoparde ora pro nobis row 6 : 6 \| stephanus \| g1 +8 \| 715 \| 1027 \| sancte stephane ora pro no row 7 : 7 \| petrus \| a1 +1 \| 425 \| 894 \| sancte petre ora pro nobis row 8 : 8 \| simeon \| h1 +8 \| 290 \| 793 \| sancte simeon juste e ] Execute this SQL based on the above table: select count ( * ) where inscription = 'nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone)'	1
[ header: \| date \| opponents \| h / a \| result \| score \| attendance row 1 : 1 \| 29 august \| doncaster knights \| h \| w \| 30 - 14 \| 2232 row 2 : 2 \| 5 september \| london welsh \| h \| w \| 22 - 3 \| 2047 row 3 : 3 \| 11 september \| moseley \| a \| d \| 26 - 26 \| 751 row 4 : 4 \| 19 september \| birmingham & solihull \| h \| w \| 32 - 15 \| 1672 row 5 : 5 \| 26 september \| bristol \| a \| l \| 7 - 21 \| 4379 row 6 : 6 \| 3 october \| plymouth albion \| h \| w \| 46 - 13 \| 2439 row 7 : 7 \| 9 october \| bedford \| a \| l \| 25 - 32 \| 3243 row 8 : 8 \| 17 october \| rotherham titans \| h \| w \| 40 - 15 \| 1982 row 9 : 9 \| 22 october \| worcester warriors \| a \| w \| 23 - 21 \| 6928 row 10 : 10 \| 31 october \| esher \| h \| w \| 54 - 6 \| 1767 row 11 : 11 \| 7 november \| nottingham \| a \| w \| 36 - 10 \| 1637 row 12 : 12 \| 14 november \| london welsh \| a \| l \| 16 - 23 \| 1250 row 13 : 13 \| 21 november \| moseley \| h \| w \| 50 - 7 \| 1854 row 14 : None \| 28 november \| birmingham & solihull \| a \| None \| p - p \| None row 15 : 14 \| 5 december \| bristol \| h \| w \| 16 - 6 \| 2253 row 16 : 15 \| 15 december \| birmingham & solihull \| a \| w \| 61 - 28 \| 407 row 17 : None \| 26 december \| plymouth albion \| a \| None \| p - p \| None row 18 : 16 \| 2 january \| bedford blues \| h \| w \| 23 - 13 \| 3051 row 19 : 17 \| 8 january \| rotherham titans \| a \| l \| 18 - 19 \| 1067 row 20 : 18 \| 12 january \| plymouth albion \| a \| w \| 10 - 6 \| 2512 row 21 : 19 \| 30 january \| worcester warriors \| h \| l \| 30 - 33 \| 1976 row 22 : 20 \| 5 february \| esher \| a \| l \| 12 - 13 \| 1338 row 23 : 21 \| 13 february \| nottingham \| h \| w \| 40 - 0 \| 2486 row 24 : 22 \| 19 february \| doncaster knights \| a \| w \| 16 - 13 \| 1091 ] Execute this SQL based on the above table: select count ( ) where = 0	0
[ header: area served \| city of license \| vc \| rf \| callsign \| network \| notes row 1 : evansville \| evansville \| 7 \| 28 \| wtvw \| cw \| None row 2 : evansville \| evansville \| 9 \| 9 \| wnin \| pbs \| None row 3 : fort wayne \| fort wayne \| 21 \| 24 \| wpta \| abc \| cw on 21.2 row 4 : fort wayne \| fort wayne \| 33 \| 19 \| wise-tv \| nbc \| mnt on 33.2 row 5 : fort wayne \| fort wayne \| 39 \| 40 \| wfwa \| pbs \| None row 6 : fort wayne \| fort wayne \| 55 \| 36 \| wfft-tv \| fox \| None row 7 : gary \| gary \| 56 \| 17 \| wyin \| pbs \| None row 8 : indianapolis \| indianapolis \| 8 \| 9 \| wish-tv \| cbs \| None row 9 : indianapolis \| indianapolis \| 13 \| 13 \| wthr \| nbc \| None row 10 : indianapolis \| indianapolis \| 20 \| 21 \| wfyi \| pbs \| None row 11 : indianapolis \| marion \| 23 \| 32 \| wndy-tv \| mnt \| None row 12 : indianapolis \| bloomington \| 30 \| 14 \| wtiu \| pbs \| None row 13 : indianapolis \| indianapolis \| 40 \| 16 \| whmb-tv \| lesea \| None row 14 : indianapolis \| bloomington \| 42 \| 42 \| wclj-tv \| tbn \| None row 15 : indianapolis \| indianapolis \| 59 \| 45 \| wxin \| fox \| None row 16 : indianapolis \| bloomington \| 63 \| 27 \| wipx-tv \| ion \| None row 17 : indianapolis \| indianapolis \| 69 \| 44 \| wdti \| daystar \| None row 18 : kokomo \| kokomo \| 29 \| 29 \| wttk \| cw \| satellite of wttv ch. row 19 : muncie \| muncie \| 49 \| 23 \| wipb \| pbs \| None row 20 : south bend \| south bend \| 16 \| 42 \| wndu-tv \| nbc \| None row 21 : south bend \| south bend \| 22 \| 22 \| wsbt-tv \| cbs \| None row 22 : south bend \| elkhart \| 28 \| 28 \| wsjv \| fox \| None row 23 : south bend \| south bend \| 34 \| 35 \| wnit \| pbs \| None row 24 : south bend \| south bend \| 46 \| 48 \| whme-tv \| lesea \| None row 25 : terre haute \| terre haute \| 10 \| 10 \| wthi-tv \| cbs \| fox on 10.2 row 26 : terre haute \| terre haute \| 38 \| 39 \| wawv-tv \| abc \| None row 27 : vincennes \| vincennes \| 22 \| 22 \| wvut \| pbs \| None row 28 : ~chicago il \| gary \| 50 \| 51 \| wpwr-tv \| mnt \| None row 29 : ~chicago il \| hammond \| 62 \| 36 \| wjys \| ind \| None row 30 : ~louisville ky \| salem \| 58 \| 51 \| wmyo \| mnt \| None ] Execute this SQL based on the above table: select network order by rf limit 1	pbs
[ header: color \| pin (tip) \| pin (ring) \| color row 1 : white/blue \| 26 \| 1 \| blue/white row 2 : white/orange \| 27 \| 2 \| orange/white row 3 : white/green \| 28 \| 3 \| green/white row 4 : white/brown \| 29 \| 4 \| brown/white row 5 : white/slate \| 30 \| 5 \| slate/white row 6 : red/blue \| 31 \| 6 \| blue/red row 7 : red/orange \| 32 \| 7 \| orange/red row 8 : red/green \| 33 \| 8 \| green/red row 9 : red/brown \| 34 \| 9 \| brown/red row 10 : red/slate \| 35 \| 10 \| slate/red row 11 : black/blue \| 36 \| 11 \| blue/black row 12 : black/orange \| 37 \| 12 \| orange/black row 13 : black/green \| 38 \| 13 \| green/black row 14 : black/brown \| 39 \| 14 \| brown/black row 15 : black/slate \| 40 \| 15 \| slate/black row 16 : yellow/blue \| 41 \| 16 \| blue/yellow row 17 : yellow/orange \| 42 \| 17 \| orange/yellow row 18 : yellow/green \| 43 \| 18 \| green/yellow row 19 : yellow/brown \| 44 \| 19 \| brown/yellow row 20 : yellow/slate \| 45 \| 20 \| slate/yellow row 21 : violet/blue \| 46 \| 21 \| blue/violet row 22 : violet/orange \| 47 \| 22 \| orange/violet row 23 : violet/green \| 48 \| 23 \| green/violet row 24 : violet/brown \| 49 \| 24 \| brown/violet row 25 : violet/slate \| 50 \| 25 \| slate/violet ] Execute this SQL based on the above table: select pin (ring) order by pin (tip) desc limit 1	25
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select location + date where year = 2012	22
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select result order by time desc limit 1	l 11-17
[ header: region \| seed \| team \| coach \| finished \| final opponent \| score row 1 : east \| \| None \| None \| None \| None \| None row 2 : east \| \| furman \| joe williams \| first round \| syracuse \| l 83-82 row 3 : east \| \| maryland \| lefty driesell \| regional runner-up \| providence \| l 103-89 row 4 : east \| \| penn \| chuck daly \| regional fourth place \| syracuse \| l 69-68 row 5 : east \| \| providence \| dave gavitt \| fourth place \| indiana \| l 97-79 row 6 : east \| \| st. john's \| frank mulzoff \| first round \| penn \| l 62-61 row 7 : east \| \| saint joseph's \| jack mckinney \| first round \| providence \| l 89-76 row 8 : east \| \| syracuse \| roy danforth \| regional third place \| penn \| w 69-68 row 9 : mideast \| \| None \| None \| None \| None \| None row 10 : mideast \| \| austin peay \| lake kelly \| regional fourth place \| marquette \| l 88-73 row 11 : mideast \| \| indiana \| bob knight \| third place \| providence \| w 97-79 row 12 : mideast \| \| jacksonville \| tom wasdin \| first round \| austin peay \| l 77-75 row 13 : mideast \| \| kentucky \| joe b. hall \| regional runner-up \| indiana \| l 72-65 row 14 : mideast \| \| marquette \| al mcguire \| regional third place \| austin peay \| w 88-73 row 15 : mideast \| \| miami, ohio \| darrell hedric \| first round \| marquette \| l 77-62 row 16 : midwest \| \| None \| None \| None \| None \| None row 17 : midwest \| \| houston \| guy lewis \| first round \| southwestern louisiana \| l 102-89 row 18 : midwest \| \| kansas state \| jack hartman \| regional runner-up \| memphis state \| l 92-72 row 19 : midwest \| \| southwestern louisiana (vacated) \| beryl shipley \| regional fourth place \| south carolina \| l 90-85 row 20 : midwest \| \| memphis state \| gene bartow \| runner up \| ucla \| l 87-66 row 21 : midwest \| \| south carolina \| frank mcguire \| regional third place \| southwestern louisiana \| w 90-85 row 22 : midwest \| \| texas tech \| gerald myers \| first round \| south carolina \| l 78-70 row 23 : west \| \| None \| None \| None \| None \| None row 24 : west \| \| arizona state \| ned wulk \| regional fourth place \| long beach state \| l 84-80 row 25 : west \| \| long beach state \| jerry tarkanian \| regional third place \| arizona state \| w 84-80 row 26 : west \| \| oklahoma city \| abe lemons \| first round \| arizona state \| l 103-78 row 27 : west \| \| san francisco \| bob gaillard \| regional runner-up \| ucla \| l 54-39 row 28 : west \| \| ucla \| john wooden \| champion \| memphis state \| w 87-66 row 29 : west \| \| weber state \| gene visscher \| first round \| long beach state \| l 88-75 ] Execute this SQL based on the above table: select seed where final opponent = 'indiana'	,
[ header: title \| character \| broadcaster \| episodes \| date row 1 : rev \| pip \| bbc two \| 1 \| 2010 row 2 : the i.t. crowd \| nikki \| channel 4 \| 1 \| 2010 row 3 : eastenders: e20 \| ava \| bbc one \| 15 \| 2011 row 4 : fresh meat \| caz \| channel 4 \| 1 \| 2011 row 5 : phoneshop \| daisy \| channel 4 \| 1 \| 2011 row 6 : holby city \| heidi hall \| bbc one \| 1 \| 2012 row 7 : plebs \| cynthia \| itv2 \| 6 \| 2013 row 8 : blandings \| valerie fanshawe \| bbc \| 2.5 \| 2014 row 9 : death in paradise \| helen walker \| bbc \| 3.4 \| 2014 ] Execute this SQL based on the above table: select character where id = ( select id where character = 'pip' ) + 1	nikki
[ header: language \| number \| percentage (%) \| males \| females row 1 : polish \| 1420436 \| 73.52 \| 687210 \| 733226 row 2 : yiddish \| 317169 \| 16.41 \| 154603 \| 162566 row 3 : russian \| 87850 \| 4.54 \| 13551 \| 1586 row 4 : german \| 77160 \| 3.99 \| 37984 \| 39176 row 5 : ukrainian \| 15930 \| 0.82 \| 15623 \| 307 row 6 : romanian \| 2299 \| >0.01 \| 2293 \| 6 row 7 : latvian \| 1759 \| >0.01 \| 1738 \| 21 row 8 : estonian \| 1566 \| >0.01 \| 1555 \| 11 row 9 : tatar \| 1473 \| >0.01 \| 1437 \| 36 row 10 : belarusian \| 1343 \| >0.01 \| 1234 \| 109 row 11 : other \| 4824 \| 0.24 \| 3289 \| 1535 row 12 : persons that didn't name their native language \| 54 \| >0.01 \| 33 \| 21 row 13 : total \| 1931867 \| 100 \| 977948 \| 953919 ] Execute this SQL based on the above table: select language order by percentage (%) desc limit 1	total
[ header: pos \| no. \| rider \| manufacturer \| laps \| time/retired \| grid \| points row 1 : 1 \| 75 \| mattia pasini \| aprilia \| 27 \| 39:44.091 \| 3 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 27 \| 0.01 \| 2 \| 20 row 3 : 3 \| 52 \| lukas pesek \| derbi \| 27 \| 0.111 \| 1 \| 16 row 4 : 5 \| 24 \| simone corsi \| gilera \| 27 \| 9.372 \| 9 \| 11 row 5 : 6 \| 1 \| thomas luthi \| honda \| 27 \| 10.57 \| 13 \| 10 row 6 : 7 \| 18 \| nicolas terol \| derbi \| 27 \| 11.835 \| 5 \| 9 row 7 : 8 \| 36 \| mika kallio \| ktm \| 27 \| 11.905 \| 4 \| 8 row 8 : 9 \| 6 \| joan olive \| aprilia \| 27 \| 26.017 \| 16 \| 7 row 9 : 10 \| 33 \| sergio gadea \| aprilia \| 27 \| 26.172 \| 12 \| 6 row 10 : 11 \| 32 \| fabrizio lai \| honda \| 27 \| 26.361 \| 6 \| 5 row 11 : 12 \| 38 \| bradley smith \| honda \| 27 \| 26.389 \| 14 \| 4 row 12 : 13 \| 11 \| sandro cortese \| honda \| 27 \| 26.48 \| 11 \| 3 row 13 : 14 \| 14 \| gabor talmacsi \| honda \| 27 \| 26.606 \| 7 \| 2 row 14 : 15 \| 71 \| tomoyoshi koyama \| malaguti \| 27 \| 27.068 \| 15 \| 1 row 15 : 16 \| 54 \| randy krummenacher \| ktm \| 27 \| 27.192 \| 21 \| None row 16 : 18 \| 17 \| stefan bradl \| ktm \| 27 \| 46.201 \| 18 \| None row 17 : 19 \| 95 \| georg frohlich \| honda \| 27 \| 56.274 \| 28 \| None row 18 : 20 \| 35 \| raffaele de rosa \| aprilia \| 27 \| 56.549 \| 25 \| None row 19 : 21 \| 26 \| vincent braillard \| aprilia \| 27 \| 56.782 \| 31 \| None row 20 : 23 \| 15 \| michele pirro \| aprilia \| 27 \| 57.474 \| 22 \| None row 21 : 24 \| 29 \| andrea iannone \| aprilia \| 27 \| 57.707 \| 20 \| None row 22 : 25 \| 7 \| alexis masbou \| malaguti \| 27 \| +1:04.698 \| 37 \| None row 23 : 26 \| 16 \| michele conti \| honda \| 27 \| +1:04.793 \| 32 \| None row 24 : 28 \| 43 \| manuel hernandez \| aprilia \| 27 \| +1:17.323 \| 30 \| None row 25 : 29 \| 23 \| lorenzo baroni \| honda \| 27 \| +1:17.507 \| 26 \| None row 26 : 30 \| 21 \| mateo tunez \| aprilia \| 27 \| +1:20.583 \| 29 \| None row 27 : 32 \| 98 \| toni wirsing \| honda \| 26 \| +1 lap \| 42 \| None row 28 : ret \| 44 \| karel abraham \| aprilia \| 16 \| retirement \| 33 \| None row 29 : ret \| 13 \| dino lombardi \| aprilia \| 13 \| retirement \| 41 \| None row 30 : ret \| 37 \| joey litjens \| honda \| 11 \| retirement \| 38 \| None row 31 : ret \| 22 \| pablo nieto \| aprilia \| 9 \| retirement \| 8 \| None ] Execute this SQL based on the above table: select max ( grid )	42.0
[ header: country \| alternante title \| tv network(s) \| series premiere \| series finale row 1 : mexico \| la fuerza del destino \| canal de las estrellas \| march 14, 2011 \| july 31, 2011 row 2 : colombia \| la fuerza del destino \| rcn tv \| may 2, 2011 \| september 20, 2011 row 3 : venezuela \| la fuerza del destino \| venevision \| may 5, 2011 \| september 20, 2011 row 4 : peru \| la fuerza del destino \| america tv \| may 23, 2011 \| november 11, 2011 row 5 : usa \| la fuerza del destino \| univision \| august 2, 2011 \| december 26, 2011 row 6 : albania \| forca e fatit \| vizion plus \| august 29, 2011 \| january 9, 2012 row 7 : poland \| miłosc i przeznac \| tv puls \| september 5, 2011 \| february 7, 2012 row 8 : serbia \| tajna ljuba \| rtv pink pink soap \| september 12, 2011 july 3, 2013 \| april 13, 2012 octo row 9 : spain \| la fuerza del destino \| la 1 \| september 21, 2011 \| january 25, 2012 row 10 : bosnia and herzegovin \| tajna ljuba \| pink bh \| november 22, 2011 \| may 16, 2012 row 11 : montenegro \| tajna ljuba \| pink m \| december 19, 2011 \| may 2, 2012 row 12 : lithuania \| likimo galia \| tv3 \| january 4, 2012 \| may 31, 2012 row 13 : hungary \| a vegzet hatal \| story4 \| january 9, 2012 \| june 1, 2012 row 14 : panama \| la fuerza del destino \| canal 13 \| january 16, 2012 \| may 7, 2012 row 15 : chile \| la fuerza del destino \| mega tv \| january 31, 2012 \| april 19, 2012 row 16 : romania \| forta destinului \| acasa tv \| march 26, 2012 \| may 28, 2012 row 17 : iran \| the power of destiny \| farsi1 \| march 10, 2012 \| july 28, 2012 row 18 : israel \| כוחו של גורל \| viva \| april 19, 2012 \| september 21, 2012 row 19 : croatia \| moc sudbine \| hrt \| june 5, 2012 \| october 9, 2012 row 20 : slovenia \| moc usode \| pop tv \| july 12, 2012 \| november 30, 2012 row 21 : macedonia \| силата на судб \| pink 15 \| 2011 \| 2011 row 22 : morocco \| al maktoub المكتوب \| 2m tv \| august 14, 2013 \| january 2, 2014 row 23 : cyprus \| η εκδικηση \| ant1 \| october 15, 2013 \| present row 24 : france \| la force du destin \| idf1 \| september 23, 2013 \| december 2, 2013 row 25 : cameroon \| la force du destin \| canal 2 international \| september 23, 2013 \| december 2, 2014 row 26 : romania \| forta destinului \| acasa tv \| february 7, 2014 \| present ] Execute this SQL based on the above table: select alternante title where series premiere = 'april 19, 2012' order by series premiere asc limit 1	כוחו של גורל
[ header: district \| senator \| party \| caucus \| first elected \| counties represented row 1 : 1 \| kenneth p. lavalle \| republican \| republican \| 1976 \| suffolk row 2 : 3 \| lee zeldin \| republican \| republican \| 2010 \| suffolk row 3 : 8 \| vacant \| None \| None \| None \| nassau, suffo row 4 : 10 \| james sanders, j \| democratic \| democratic \| 2012 \| queens row 5 : 11 \| tony avella \| democratic \| democratic \| 2010 \| queens row 6 : 13 \| jose peralta \| democratic \| democratic \| 2010 \| queens row 7 : 14 \| malcolm smith \| democratic \| no caucus \| 2000 \| queens row 8 : 15 \| joseph addabbo, j \| democratic \| democratic \| 2008 \| queens row 9 : 16 \| toby ann stavisky \| democratic \| democratic \| 1999 \| queens row 10 : 17 \| simcha felder \| democratic \| republican \| 2012 \| brooklyn row 11 : 20 \| vacant \| None \| None \| None \| brooklyn row 12 : 24 \| andrew j. lanza \| republican \| republican \| 2006 \| staten island row 13 : 25 \| velmanette montgomery \| democratic \| democratic \| 1984 \| brooklyn row 14 : 26 \| daniel squadron \| democratic \| democratic \| 2008 \| brooklyn, manhattan row 15 : 27 \| brad hoylman \| democratic \| democratic \| 2012 \| manhattan row 16 : 28 \| liz krueger \| democratic \| democratic \| 2002 \| manhattan row 17 : 29 \| jose m. serrano \| democratic \| democratic \| 2004 \| manhattan, the bronx row 18 : 31 \| adriano espaillat \| democratic \| democratic \| 2010 \| manhattan row 19 : 32 \| ruben diaz, sr \| democratic \| democratic \| 2002 \| the bronx row 20 : 33 \| gustavo rivera \| democratic \| democratic \| 2010 \| the bronx row 21 : 35 \| andrea stewart-cousins \| democratic \| democratic \| 2006 \| westchester row 22 : 37 \| george s. latimer \| democratic \| democratic \| 2012 \| westchester row 23 : 40 \| gregory r. ball \| republican \| republican \| 2010 \| dutchess, putnam, westchester row 24 : 41 \| terry w. gipson \| democratic \| democratic \| 2012 \| dutchess, putnam row 25 : 42 \| john bonacic \| republican \| republican \| 1998 \| delaware, orange, sulliv row 26 : 45 \| betty little \| republican \| republican \| 2002 \| clinton, essex, fran row 27 : 46 \| cecilia tkaczyk \| democratic \| democratic \| 2012 \| albany, greene, montgomery row 28 : 47 \| joseph griffo \| republican \| republican \| 2006 \| lewis, oneida, saint row 29 : 48 \| patty ritchie \| republican \| republican \| 2010 \| jefferson, oswego, row 30 : 50 \| john defrancisco \| republican \| republican \| 1992 \| cayuga, onondaga row 31 : 51 \| james seward \| republican \| republican \| 1986 \| cayuga, chenango, cort row 32 : 52 \| thomas w. libous \| republican \| republican \| 1988 \| broome, chenango, delaware ] Execute this SQL based on the above table: select first elected where counties represented = 'queens'	2012, 2010, 2010, 2000, 2008, 1999
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select count ( notes )	3
[ header: \| name on the register \| date listed \| location \| municipality row 1 : 1 \| catholic belltower \| november 25, 1980 (#80004399 \| catholic mission in kolonia 6°58 \| nett row 2 : 2 \| chief agriculturist house \| september 30, 1976 (#76002200) \| kolonia 6°57′31′′n \| nett row 3 : 3 \| german cemetery \| september 30, 1976 (#76002201) \| kolonia 6°57′07′′n \| nett row 4 : 4 \| japanese hydro-electric power plant \| september 30, 1976 (#76002204) \| kolonia 6°57′33′′n \| nett row 5 : 5 \| japanese shrine \| september 30, 1976 (#76002205) \| kolonia 6°57′50′′n \| nett row 6 : 6 \| japanese elementary school for pon \| september 30, 1976 (#76002203) \| kolonia 6°58′01′′n \| nett row 7 : 7 \| sokehs mass grave site \| september 30, 1976 (#76002206) \| kolonia 6°58′10′′n \| nett row 8 : 8 \| spanish wall \| december 19, 1974 (#7400222 \| litkin kel 6°58′05′′ \| nett row 9 : 9 \| japanese artillery road and \| september 30, 1976 (#76002202) \| sokehs 6°58′03′′ \| sokehs row 10 : 10 \| nan madol \| december 19, 1974 (#7400222 \| east side of temwen island 6° \| madolenihmw ] Execute this SQL based on the above table: select count ( location ) where municipality = 467	0
[ header: position \| nation \| number \| name \| soproni liga \| uefa cup \| hungarian cup \| league cup \| total row 1 : 1 \| \| 14 \| gergely rudolf \| 16 \| 3 \| 0 \| 0 \| 19 row 2 : 2 \| \| 41 \| lorant olah \| 12 \| 1 \| 0 \| 0 \| 13 row 3 : 3 \| \| 99 \| omagbemi dudu \| 4 \| 1 \| 5 \| 0 \| 10 row 4 : 4 \| \| 55 \| peter szakaly \| 9 \| 0 \| 0 \| 0 \| 9 row 5 : 5 \| \| 77 \| peter czvitkovics \| 7 \| 0 \| 0 \| 0 \| 7 row 6 : 6 \| \| 4 \| leandro de almeida \| 5 \| 0 \| 1 \| 0 \| 6 row 7 : 7 \| \| 17 \| norbert meszaros \| 3 \| 0 \| 0 \| 0 \| 3 row 8 : 8 \| \| 8 \| zsombor kerekes \| 1 \| 0 \| 2 \| 0 \| 3 row 9 : 9 \| \| 10 \| igor bogdanovic \| 0 \| 0 \| 3 \| 0 \| 3 row 10 : 10 \| \| 2 \| istvan szucs \| 2 \| 0 \| 0 \| 0 \| 2 row 11 : 11 \| \| 30 \| zoltan kiss \| 2 \| 0 \| 0 \| 0 \| 2 row 12 : 12 \| \| 23 \| peter szilagyi \| 2 \| 0 \| 0 \| 0 \| 2 row 13 : 13 \| \| 7 \| tibor dombi \| 2 \| 0 \| 0 \| 0 \| 2 row 14 : 14 \| \| 13 \| peter biro \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 15 \| \| 27 \| gabor demjen \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 16 \| \| 19 \| vinicius galvao leal \| 1 \| 0 \| 0 \| 0 \| 1 row 17 : 17 \| \| 1 \| vukasin poleksic \| 1 \| 0 \| 0 \| 0 \| 1 row 18 : 18 \| \| 83 \| zoltan varga \| 0 \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| \| 16 \| adam komlosi \| 0 \| 0 \| 1 \| 0 \| 1 row 20 : None \| \| None \| own goals \| 1 \| 0 \| 0 \| 0 \| 1 row 21 : None \| \| None \| totals \| 70 \| 5 \| 13 \| 0 \| 88 ] Execute this SQL based on the above table: select name + name where total = 1	0, 0, 0, 0, 0, 0, 0
[ header: pos \| grid \| no. \| driver \| team \| manufacturer \| laps \| points row 1 : 1 \| 8 \| 24 \| jeff gordon \| hendrick motorsports \| chevrolet \| 160 \| 185 row 2 : 2 \| 1 \| 18 \| bobby labonte \| joe gibbs racing \| pontiac \| 160 \| 175 row 3 : 3 \| 9 \| 31 \| mike skinner \| richard childress racing \| chevrolet \| 160 \| 165 row 4 : 4 \| 25 \| 12 \| jeremy mayfield \| penske-kranefuss \| ford \| 160 \| 165 row 5 : 7 \| 12 \| 22 \| ward burton \| bill davis racing \| pontiac \| 160 \| 146 row 6 : 8 \| 39 \| 36 \| ernie irvan \| mb2 motorsports \| pontiac \| 160 \| 142 row 7 : 9 \| 16 \| 33 \| ken schrader \| andy petree racing \| chevrolet \| 160 \| 138 row 8 : 10 \| 5 \| 3 \| dale earnhardt \| richard childress racing \| chevrolet \| 160 \| 139 row 9 : 12 \| 38 \| 23 \| jimmy spencer \| travis carter enterprises \| t-bird \| 160 \| 132 row 10 : 14 \| 14 \| 43 \| john andretti \| petty enterprises \| pontiac \| 160 \| 121 row 11 : 15 \| 31 \| 94 \| bill elliott \| bill elliott racing \| ford \| 160 \| 118 row 12 : 18 \| 17 \| 40 \| sterling marlin \| team sabco \| chevrolet \| 160 \| 109 row 13 : 19 \| 33 \| 9 \| jerry nadeau \| melling racing \| ford \| 160 \| 106 row 14 : 20 \| 20 \| 97 \| chad little \| roush racing \| t-bird \| 159 \| 103 row 15 : 21 \| 30 \| 71 \| dave marcis \| marcis auto racing \| chevrolet \| 159 \| 105 row 16 : 22 \| 42 \| 44 \| kyle petty \| pe2 \| pontiac \| 159 \| 97 row 17 : 23 \| 3 \| 88 \| dale jarrett \| robert yates racing \| ford \| 159 \| 99 row 18 : 25 \| 19 \| 11 \| brett bodine \| brett bodine racing \| ford \| 159 \| 88 row 19 : 26 \| 40 \| 26 \| johnny benson, j \| roush racing \| ford \| 159 \| 85 row 20 : 28 \| 43 \| 35 \| darrell waltrip \| tyler jet motorsports \| pontiac \| 158 \| 79 row 21 : 29 \| 24 \| 96 \| steve grissom \| american equipment racing \| chevrolet \| 157 \| 76 row 22 : 32 \| 11 \| 28 \| kenny irwin, j \| robert yates racing \| ford \| 140 \| 72 row 23 : 33 \| 15 \| 1 \| steve park \| dale earnhardt, inc \| chevrolet \| 139 \| 64 row 24 : 35 \| 28 \| 81 \| kenny wallace \| filmar racing \| ford \| 113 \| 58 row 25 : 36 \| 26 \| 07 \| dan pardus \| midwest transit racing \| chevrolet \| 99 \| 55 row 26 : 37 \| 32 \| 46 \| jeff green \| team sabco \| chevrolet \| 98 \| 52 row 27 : 38 \| 13 \| 30 \| derrike cope \| bahari racing \| pontiac \| 67 \| 49 row 28 : 39 \| 36 \| 98 \| rich bickle \| cale yarborough racing \| t-bird \| 58 \| 46 row 29 : 42 \| 10 \| 55 \| hut stricklin \| andy petree racing \| chevrolet \| 31 \| 37 ] Execute this SQL based on the above table: select manufacturer , driver order by no. desc limit 1	t-bird, rich bickle
[ header: season \| tier \| division \| place row 1 : 2002/03 \| 8 \| 3a aficio \| 1st row 2 : 2003/04 \| 6 \| 1a aficio \| 1st row 3 : 2004/05 \| 5 \| preferente \| 13th row 4 : 2005/06 \| 5 \| preferente \| 4th row 5 : 2006/07 \| 5 \| preferente \| 8th row 6 : 2007/08 \| 5 \| preferente \| 8th row 7 : 2008/09 \| 5 \| preferente \| 3rd row 8 : 2009/10 \| 5 \| preferente \| 2nd row 9 : 2010/11 \| 4 \| 3a \| 6th row 10 : 2011/12 \| 4 \| 3a \| 6th row 11 : 2012/13 \| 4 \| 3a \| 11th ] Execute this SQL based on the above table: select place where id = ( select id where place = '3rd' ) + 1	2nd
[ 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 year built where remarks = 'one pylon' order by country asc limit 1	2004
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select urban area where administrative area = 2428534	738128.0
[ 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 ( select rank where rank = 6 ) - ( select rank where rank = 7 )	-1.0
[ header: # \| date \| opponent \| score \| win \| loss \| save \| attendance \| record row 1 : 85 \| july 1 \| @ marlins \| 9-6 \| balester (1-0) \| hendrickson (7-7) \| None \| 12166 \| 34-51 row 2 : 86 \| july 2 \| @ marlins \| 4-2 \| nolasco (9-4) \| manning (0-2) \| None \| 23624 \| 34-52 row 3 : 87 \| july 3 \| @ reds \| 5-3 \| cueto (7-8) \| colome (2-2) \| cordero (16) \| 23259 \| 34-53 row 4 : 88 \| july 4 \| @ reds \| 3-0 \| arroyo (6-7) \| bergmann (1-6) \| cordero (17) \| 22626 \| 34-54 row 5 : 89 \| july 5 \| @ reds \| 3-2 \| cordero (4-1) \| hanrahan (5-3) \| None \| 37121 \| 34-55 row 6 : 90 \| july 6 \| @ reds \| 6-5 \| volquez (11-3) \| balester (1-1) \| cordero (18) \| 28814 \| 34-56 row 7 : 91 \| july 8 \| d-backs \| 2-0 \| webb (13-4) \| perez (2-6) \| lyon (19) \| 26820 \| 34-57 row 8 : 92 \| july 9 \| d-backs \| 5-0 \| lannan (5-9) \| owings (6-8) \| None \| 25862 \| 35-57 row 9 : 93 \| july 10 \| d-backs \| 7-5 (11) \| qualls (2-6) \| ayala (1-5) \| None \| 27330 \| 35-58 row 10 : 96 \| july 13 \| astros \| 5-0 \| backe (6-9) \| perez (2-7) \| None \| 31463 \| 36-60 row 11 : 97 \| july 18 \| @ braves \| 7-6 \| hudson (10-7) \| redding (7-4) \| gonzalez (4) \| 39861 \| 36-61 row 12 : 98 \| july 19 \| @ braves \| 8-2 \| lannan (6-9) \| jurrjens (9-5) \| None \| 43285 \| 37-61 row 13 : 99 \| july 20 \| @ braves \| 15-6 \| perez (3-7) \| reyes (3-9) \| None \| 29320 \| 38-61 row 14 : 100 \| july 22 \| @ giants \| 6-3 \| zito (5-12) \| bergmann (1-7) \| wilson (26) \| 34813 \| 38-62 row 15 : 101 \| july 23 \| @ giants \| 6-4 \| espineli (1-0) \| ayala (1-6) \| wilson (27) \| 35539 \| 38-63 row 16 : 102 \| july 24 \| @ giants \| 1-0 \| cain (6-8) \| redding (7-5) \| None \| 36963 \| 38-64 row 17 : 103 \| july 25 \| @ dodgers \| 3-2 \| billingsley (10-9) \| lannan (6-10) \| broxton (3) \| 47313 \| 38-65 row 18 : 104 \| july 26 \| @ dodgers \| 6-0 \| lowe (8-8) \| perez (3-8) \| None \| 42122 \| 38-66 row 19 : 105 \| july 27 \| @ dodgers \| 2-0 \| kershaw (1-3) \| bergmann (1-8) \| broxton (4) \| 38660 \| 38-67 row 20 : 106 \| july 29 \| phillies \| 2-1 \| myers (4-9) \| balester (1-3) \| lidge (25) \| 34039 \| 38-68 row 21 : 107 \| july 30 \| phillies \| 8-5 \| moyer (10-6) \| redding (7-6) \| lidge (26) \| 31798 \| 38-69 ] Execute this SQL based on the above table: select loss where id = ( select id where record = '34-53' ) - 1	manning (0-2)
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| soviet union (urs) \| 4 \| 1 \| 6 \| 11 row 2 : 2 \| yugoslavia (yu \| 2 \| 0 \| 1 \| 3 row 3 : 3 \| west germany (frg) \| 1 \| 1 \| 1 \| 3 row 4 : 4 \| bulgaria (bul) \| 1 \| 1 \| 0 \| 2 row 5 : 4 \| czechoslovakia (t \| 1 \| 1 \| 0 \| 2 row 6 : 4 \| east germany (gdr) \| 1 \| 1 \| 0 \| 2 row 7 : 4 \| great britain (gbr) \| 1 \| 1 \| 0 \| 2 row 8 : 8 \| norway (nor) \| 1 \| 0 \| 0 \| 1 row 9 : 8 \| romania (rou) \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| china (chn) \| 0 \| 1 \| 1 \| 2 row 11 : 11 \| chile (chi) \| 0 \| 1 \| 0 \| 1 row 12 : 11 \| france (fra) \| 0 \| 1 \| 0 \| 1 row 13 : 11 \| japan (jpn) \| 0 \| 1 \| 0 \| 1 row 14 : 11 \| south korea (kor) \| 0 \| 1 \| 0 \| 1 row 15 : 11 \| sweden (swe) \| 0 \| 1 \| 0 \| 1 row 16 : 11 \| united states (usa) \| 0 \| 1 \| 0 \| 1 row 17 : 17 \| hungary (hun) \| 0 \| 0 \| 2 \| 2 row 18 : 18 \| belgium (bel) \| 0 \| 0 \| 1 \| 1 row 19 : 18 \| spain (esp) \| 0 \| 0 \| 1 \| 1 row 20 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select rank order by total desc limit 1	total
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select count ( * ) where winner = '€500,000'	0
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2006 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 2 : 2007 \| 4 \| usl pdl \| 2nd, heartland \| conference semifinals \| did not qualify row 3 : 2008 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| 1st round row 4 : 2009 \| 4 \| usl pdl \| 4th, heartland \| did not qualify \| did not qualify row 5 : 2010 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 6 : 2011 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify row 7 : 2012 \| 4 \| usl pdl \| 7th, heartland \| did not qualify \| did not qualify row 8 : 2013 \| 4 \| usl pdl \| 5th, heartland \| did not qualify \| did not qualify ] Execute this SQL based on the above table: select count ( open cup ) where open cup = 'did not qualify'	7
[ 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 1st venue order by year desc limit 1	beijing
[ 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 going where id = 1	good to soft
[ header: rank \| title \| studio \| director \| actors \| gross row 1 : 1 \| the sound of music \| 20th century fox \| robert wise \| julie andrews, christ \| $163,214,286 row 2 : 2 \| doctor zhivago \| metro-goldwyn-mayer \| david lean \| omar sharif, ju \| $111,721,910 row 3 : 4 \| those magnificent men in their flying machines \| 20th century fox \| ken annakin \| stuart whitman, sara \| $31,111,111 row 4 : 8 \| what's new pussycat? \| united artists \| clive donner \| peter sellers, peter o'tool \| $18,820,000 row 5 : 9 \| shenandoah \| universal pictures \| andrew v. mclagle \| james stewart, doug \| $17,268,889 row 6 : 10 \| von ryan's express \| 20th century fox \| mark robson \| frank sinatra, trevor \| $17,111,111 row 7 : 12 \| for a few dollars more \| united artists \| sergio leone \| clint eastwood, lee van \| $15,000,000 row 8 : 13 \| the sandpiper \| metro-goldwyn-mayer \| vincente minnelli \| elizabeth tay \| $13,691,111 row 9 : 16 \| help! \| united artists \| richard lester \| john lennon, paul \| $12,066,667 row 10 : 19 \| the agony and the ecsta \| 20th century fox \| carol reed \| charlton heston, rex \| $8,000,000 ] Execute this SQL based on the above table: select count ( actors ) where actors = 'for a few dollars more'	0
[ header: event \| gold \| gold \| silver \| silver \| bronze \| bronze row 1 : 60 metres \| nelli cooman (ned \| 7.17 \| melanie paschke (ger) \| 7.19 \| patricia girard (fra) \| 7.19 row 2 : 200 metres \| galina malchugina (rus) \| 22.41 \| silke knoll (ger) \| 22.96 \| jacqueline poelman (n \| 23.43 row 3 : 400 metres \| svetlana goncharenko \| 51.62 \| tatyana alekseyeva (rus \| 51.77 \| viviane dorsile ( \| 51.92 row 4 : 800 metres \| natalya dukhnova (b \| 2:00.42 \| ella kovacs (rom) \| 2:00.49 \| carla sacramento (p \| 2:01.12 row 5 : 1500 metres \| yekaterina podkopay \| 4:06.46 \| lyudmila rogachova ( \| 4:06.60 \| małgorzata ryd \| 4:06.98 row 6 : 3000 metres \| fernanda ribeiro (por \| 8:50.47 \| margareta keszeg ( \| 8:55.61 \| anna brzezinska (pol) \| 8:56.90 row 7 : 60 metres hurdles \| yordanka donkova (bul \| 7.85 \| eva sokolova (rus) \| 7.89 \| anne piquereau (fr \| 7.91 row 8 : 3000 metres walk \| annarita sidoti (it \| 11:54.32 \| beate gummelt (ger) \| 11:56.01 \| yelena arshintseva ( \| 11:57.48 row 9 : high jump \| stefka kostadinova \| 1.98 \| desislava aleksandrova (bul \| 1.96 \| sigrid kirchmann (aut \| 1.94 nr row 10 : long jump \| heike drechsler ( \| 7.06 \| ljudmila ninova (au \| 6.78 \| inessa kravets (uk \| 6.72 row 11 : triple jump \| inna lasovskaya \| 14.88 \| anna biryukova (rus) \| 14.72 \| sofiya bozhanova ( \| 14.52 row 12 : shot put \| astrid kumbernuss \| 19.44 \| larisa peleshenko (rus \| 19.16 \| svetla mitkova (bul \| 19.09 row 13 : pentathlon \| larisa turchinskaya ( \| 4801 \| rita inancsi (hun \| 4775 nr \| urszula włodarczy \| 4668 ] Execute this SQL based on the above table: select gold order by silver - silver desc limit 1	nelli cooman (ned)
[ header: seat \| state \| majority \| member \| party row 1 : hinkler \| qld \| 0 \| paul neville \| npa row 2 : solomon \| nt \| 0.1 \| dave tollner \| lib row 3 : adelaide \| sa \| 0.2 \| hon trish worth \| lib row 4 : canning \| wa \| 0.4 \| don randall \| lib row 5 : dobell \| nsw \| 0.4 \| ken ticehurst \| lib row 6 : parramatta \| nsw \| 1.1 \| ross cameron \| lib row 7 : mcewen \| vic \| 1.2 \| fran bailey \| lib row 8 : paterson \| nsw \| 1.4 \| bob baldwin \| lib row 9 : herbert \| qld \| 1.6 \| peter lindsay \| lib row 10 : richmond \| nsw \| 1.6 \| hon larry anthony \| npa row 11 : deakin \| vic \| 1.7 \| philip barresi \| lib row 12 : eden-monaro \| nsw \| 1.7 \| gary nairn \| lib row 13 : hindmarsh \| sa \| 1.9 \| hon christine gallus \| lib ] Execute this SQL based on the above table: select ( select majority where state = 'nt' ) - ( select majority where state = 'nt' )	0.0
[ header: athlete \| nation \| olympics \| gold \| silver \| bronze \| total row 1 : philipp schoch \| switzerland (sui) \| 2002-2006 \| 2 \| 0 \| 0 \| 2 row 2 : shaun white \| united states (usa) \| 2006-2014 \| 2 \| 0 \| 0 \| 2 row 3 : seth wescott \| united states (usa) \| 2006-2010 \| 2 \| 0 \| 0 \| 2 row 4 : karine ruby \| france (fra) \| 1998-2002 \| 1 \| 1 \| 0 \| 2 row 5 : hannah teter \| united states (usa) \| 2006-2014 \| 1 \| 1 \| 0 \| 2 row 6 : ross powers \| united states (usa) \| 1998-2002 \| 1 \| 0 \| 1 \| 2 row 7 : kelly clark \| united states (usa) \| 2002-2014 \| 1 \| 0 \| 2 \| 3 row 8 : danny kass \| united states (usa) \| 2002-2006 \| 0 \| 2 \| 0 \| 2 ] Execute this SQL based on the above table: select athlete - 1 where total = 2	-1, -1, -1, -1, -1, -1, -1
[ 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 country group by country order by count ( * ) desc limit 1	world
[ header: state \| passed \| referendum \| vote row 1 : s. carolina \| december 20, 1860 \| None \| None row 2 : mississippi \| january 9, 1861 \| None \| None row 3 : florida \| january 10, 1861 \| None \| None row 4 : alabama \| january 11, 1861 \| None \| None row 5 : georgia \| january 19, 1861 \| None \| None row 6 : louisiana \| january 26, 1861 \| None \| None row 7 : texas \| february 1, 1861 \| february 23 \| 46,153-14,747 row 8 : virginia \| april 17, 1861 \| may 23 \| 132,201-37,451 row 9 : arkansas \| may 6, 1861 \| None \| None row 10 : tennessee \| may 6, 1861 \| june 8 \| 104,471-47,183 row 11 : n. carolina \| may 20, 1861 \| None \| None row 12 : missouri \| october 31, 1861 \| None \| None row 13 : kentucky \| november 20, 1861 \| None \| None ] Execute this SQL based on the above table: select sum ( vote ) where state in ( 'n. carolina' , 'texas' )	46153
[ header: # \| name \| took office \| left office \| party row 1 : 1 \| nejat konuk (2nd time \| 15 november 1983 \| 19 july 1985 \| national unity party row 2 : 2 \| dervis eroglu (1st time \| 19 july 1985 \| 1 january 1994 \| national unity party row 3 : 3 \| hakkı atun \| 1 january 1994 \| 16 august 1996 \| democratic party row 4 : 2 \| dervis eroglu (2nd time) \| 16 august 1996 \| 13 january 2004 \| national unity party row 5 : 4 \| mehmet ali talat \| 13 january 2004 \| 26 april 2005 \| republican turkish party row 6 : 5 \| ferdi sabit soyer \| 26 april 2005 \| 5 may 2009 \| republican turkish party row 7 : 2 \| dervis eroglu (3rd time \| 5 may 2009 \| 23 april 2010 \| national unity party row 8 : None \| huseyin ozgurgun \| 23 april 2010 \| 17 may 2010 \| national unity party row 9 : 6 \| irsen kucuk \| 17 may 2010 \| 13 june 2013 \| national unity party row 10 : 7 \| sibel siber \| 13 june 2013 \| 2 september 2013 \| republican turkish party row 11 : 8 \| ozkan yorgancıo \| 2 september 2013 \| incumbent \| republican turkish party ] Execute this SQL based on the above table: select # where party = 'national unity party'	1.0, 2.0, 2.0, 2.0, 6.0
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select country where year = ( select year where country = 'united kingdom' ) - 1	india, india, india, india, india, india
[ header: city/municipality \| no. of barangays \| area (km2) \| population (2010 census) \| pop. density (per km2) row 1 : angono \| 10 \| 26.22 \| 102,407 \| 3,905.68 row 2 : antipolo \| 16 \| 306.10 \| 677,741 \| 2,214.12 row 3 : baras \| 10 \| 84.93 \| 32,609 \| 383.95 row 4 : binangonan \| 40 \| 66.34 \| 249,872 \| 3,766.54 row 5 : cainta \| 7 \| 42.99 \| 311,845 \| 7,253.90 row 6 : cardona \| 18 \| 28.56 \| 47,414 \| 1,660.15 row 7 : jalajala \| 11 \| 44.12 \| 30,074 \| 681.64 row 8 : morong \| 8 \| 37.58 \| 52,194 \| 1,388.88 row 9 : pililla \| 9 \| 69.95 \| 59,527 \| 850.99 row 10 : rodriguez \| 11 \| 312.70 \| 280,904 \| 898.32 row 11 : san mateo \| 15 \| 55.09 \| 205,255 \| 3,725.81 row 12 : tanay \| 19 \| 200.00 \| 98,879 \| 494.3 row 13 : taytay \| 5 \| 38.80 \| 288,956 \| 7,447.32 row 14 : teresa \| 9 \| 18.61 \| 47,163 \| 2,534.28 ] Execute this SQL based on the above table: select pop. density (per km2) where id = ( select id where pop. density (per km2) = '494.3' ) - 1	3,725.81
[ header: year \| venue \| standard result \| venue \| latin result row 1 : 1996 \| berlin \| tc ludwigsburg, \| vilnius \| tsc schwarz-gelb row 2 : 1999 \| elblag \| jantar elblag jan \| vilnius \| klaipeda university zuvedra team row 3 : 2001 \| berlin \| dsc kodryanka \| bremerhaven \| tsg bremerhaven, row 4 : 2002 \| kishinev \| dsc kodryanka \| vilnius \| klaipeda university zuvedra team row 5 : 2003 \| stuttgart \| dsc kodryanka \| essen \| klaipeda university zuvedra team row 6 : 2004 \| brunswick \| braunschweiger tsc, \| minsk \| klaipeda university team zuvedra row 7 : 2005 \| elblag \| braunschweiger tsc, \| munich \| klaipeda university zuvedra team row 8 : 2008 \| kishinev \| dsc kodryanka \| wiener neustadt, austria \| zuvedra klaipeda university, row 9 : 2009 \| ludwigsburg germany \| tc ludwigsburg german \| bremen, germany \| grun-gold-club bremen german row 10 : 2010 \| elblag, poland \| fs lotos-jantar ( \| moscow, russia \| vera tyumen, russia ] Execute this SQL based on the above table: select latin result where standard result = 'fs lotos-jantar (poland), braunschweiger tsc(germany)'	vera tyumen, russia, zuvedra klaipeda university, lithuania
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| innes ireland \| team lotus \| lotus-climax \| 1.00:14.8 \| 4 row 2 : 2 \| stirling moss \| rob walker racing team \| cooper-climax \| + 2.8 s \| 2 row 3 : 3 \| chris bristow \| yeoman credit racing team \| cooper-climax \| + 1:05.0 s \| 1 row 4 : 4 \| bruce mclaren \| cooper car company \| cooper-climax \| + 1:17.6 s \| 6 row 5 : 5 \| graham hill \| owen racing organisation \| brm \| 41 laps \| 9 row 6 : 6 \| jo bonnier \| owen racing organisation \| brm \| 41 laps \| 10 row 7 : 7 \| tony brooks \| g.a. vandervell \| vanwall \| 41 laps \| 8 row 8 : ret \| roy salvadori \| c.t. atkins / high \| cooper-climax \| transmission \| 5 row 9 : ret \| harry schell \| yeoman credit racing team \| cooper-climax \| throttle \| 3 row 10 : ret \| mike taylor \| taylor & crawley \| lotus-climax \| engine \| 13 row 11 : ret \| keith greene \| gilby engineering \| cooper-climax \| None \| 12 row 12 : ret \| alan stacey \| team lotus \| lotus-climax \| oil pipe \| 11 row 13 : ret \| dan gurney \| owen racing organisation \| brm \| accident \| 7 row 14 : wd \| jack brabham \| cooper car company \| cooper-climax \| None \| None row 15 : wd \| geoff richardson \| geoff richardson \| cooper \| None \| None ] Execute this SQL based on the above table: select count ( time/retired ) where grid > 838 and grid < 67	0
[ header: year \| fbs opponent \| result \| opponent's conference \| opponent's head coach \| charleston southern's head coach row 1 : 2015 \| alabama crimson tide \| None \| sec \| nick saban \| jamey chadwell row 2 : 2014 \| georgia bulldogs \| None \| sec \| mark richt \| jamey chadwell row 3 : 2014 \| vanderbilt commodores \| None \| sec \| derek mason \| jamey chadwell row 4 : 2013 \| colorado buffaloes \| l, 43-10 \| pac-12 \| mike macintyre \| jamey chadwell row 5 : 2012 \| illinois fighting illini \| l, 44-0 \| big ten \| tim beckman \| jay mills row 6 : 2011 \| ucf knights \| l, 62-0 \| c-usa \| george o'leary \| jay mills row 7 : 2011 \| florida state seminoles \| l, 62-10 \| acc \| jimbo fisher \| jay mills row 8 : 2010 \| kentucky wildcats \| l, 49-21 \| sec \| joker phillips \| jay mills row 9 : 2010 \| hawaii warriors \| l, 66-7 \| wac \| greg mcmackin \| jay mills row 10 : 2009 \| south florida bulls \| l, 59-0 \| big east \| jim leavitt \| jay mills row 11 : 2009 \| florida gators \| l, 62-3 \| sec \| urban meyer \| jay mills row 12 : 2008 \| miami redhawks \| l, 38-27 \| mac \| don treadwell \| jay mills row 13 : 2008 \| miami hurricanes \| l, 52-7 \| acc \| randy shannon \| jay mills row 14 : 2007 \| hawaii warriors \| l, 66-10 \| wac \| june jones \| jay mills row 15 : 2003 \| south florida bulls \| l, 55-7 \| big east \| jim leavitt \| jay mills row 16 : 2002 \| south florida bulls \| l, 56-6 \| big east \| jim leavitt \| david dowd ] Execute this SQL based on the above table: select count ( * ) where year > 785	16
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select crystal drop of sweat (best helper) order by year desc limit 1	stijn vandenbergh
[ header: title \| artist \| year \| location/gps coordinates \| material \| dimensions \| owner row 1 : titanic memorial \| gertrude vanderbilt whi \| 1926 \| waterfront park, 4th & p \| granite & concrete \| sculpture: approx. 12 × 8 \| united states department of the interior row 2 : andrew w. mellon memorial \| sidney waugh & o \| 1949-1951 \| constitution ave & 6th s \| bronze, granite & quartz \| fountain: approx. diam: 38 \| united states department of the interior row 3 : the maine lobsterman \| victor kahill \| 1981 \| water st. & 6th \| bronze & granite \| sculpture: approx. 5 × 2 \| united states department of the interior row 4 : justice, the guardian of liberty \| hermon atkins macneil \| 1935 \| united states supreme court building \| marble \| approx. h. 18 ft \| architect of the capitol row 5 : figure of puck over fountain and pool \| brenda putnam \| 1932 \| folger shakespeare library \| marble \| sculpture: approx. h. 46 in \| folger shakespeare library row 6 : emancipation memorial \| thomas ball \| 1875 \| lincoln park 38°53′ \| bronze & granite \| sculpture: approx. 9 × 6 \| united states department of the interior row 7 : medallions on national archives \| james earle fraser, \| 1934 \| national archives and records administration, 7th & \| indiana limestone \| 13 medallions. each medallion: di \| national archives and records administration row 8 : darlington memorial fountain: nymph \| c. paul jennewein \| 1922 \| judiciary park at 5th & d \| gilded bronze \| figure: approx. h. 5 \| district of columbia ] Execute this SQL based on the above table: select location/gps coordinates where id = ( select id where location/gps coordinates = 'united states supreme court building' ) + 1	folger shakespeare library
[ header: no. \| date \| home team \| visiting team \| goals \| score \| result \| venue \| competition row 1 : 2 \| 25 mar 1992 \| scotland \| finland \| 41' 1-1 \| 1-1 \| draw \| hampden park, glasgow \| friendly row 2 : 3 \| 13 oct 1993 \| sweden \| finland \| 60' 3-2 \| 3-2 \| loss \| rasunda stadium, stockhol \| 1994 fifa world cup qualification row 3 : 5 \| 16 nov 1994 \| finland \| faroe islands \| 53' 2-0 72' 3-0 \| 5-0 \| win \| helsinki olym \| uefa euro 1996 qualifying row 4 : 7 \| 11 jun 1995 \| finland \| greece \| 45+1' 1-1 (pen.) \| 2-1 \| win \| helsinki olym \| uefa euro 1996 qualifying row 5 : 9 \| 2 feb 1997 \| turkey \| finland \| 17' 0-1 \| 1-1 \| draw \| ataturk stadium, denizli \| friendly row 6 : 12 \| 6 sep 1997 \| switzerland \| finland \| 16' 0-1 \| 1-2 \| win \| stade olympique de la pont \| 1998 fifa world cup qualification row 7 : 13 \| 14 oct 1998 \| turkey \| finland \| 90+6' 1-3 \| 1-3 \| win \| ali sami yen stadium, \| uefa euro 2000 qualifying row 8 : 14 \| 29 mar 2000 \| wales \| finland \| 21' 0-1 \| 1-2 \| win \| millennium stadium, cardiff \| friendly row 9 : 15 \| 16 aug 2000 \| finland \| norway \| 24' 1-0 61' 2-1 \| 3-1 \| win \| finnair stadium, helsink \| 2000-01 nordic football championship row 10 : 17 \| 2 sep 2000 \| finland \| albania \| 45 ' 1-0 \| 2-1 \| win \| finnair stadium, helsink \| 2002 fifa world cup qualification row 11 : 18 \| 15 aug 2001 \| finland \| belgium \| 3-0 (pen.) \| 4-1 \| win \| helsinki olym \| friendly row 12 : 20 \| 27 mar 2002 \| portugal \| finland \| 41' 1-3 53' 1-4 \| 1-4 \| win \| estadio do bessa \| friendly row 13 : 22 \| 30 apr 2003 \| finland \| iceland \| 55' 1-0 (pen.) \| 3-0 \| win \| pohjola stadion, my \| friendly row 14 : 23 \| 31 apr 2004 \| malta \| finland \| 86' 0-2 \| 1-2 \| win \| ta' qali national stadium, \| friendly row 15 : 25 \| 26 mar 2005 \| czech republic \| finland \| 46 ' 2-1 \| 4-3 \| loss \| na stinadle \| 2006 fifa world cup qualification row 16 : 27 \| 2 sep 2006 \| poland \| finland \| 54' 0-1 76' 0 \| 1-3 \| win \| zdzisław k \| uefa euro 2008 qualifying row 17 : 29 \| 6 feb 2008 \| finland \| greece \| 66' 1-0 \| 1-2 \| loss \| neo gsp stadium, \| friendly ] Execute this SQL based on the above table: select count ( score ) where no. = 23	1
[ header: rank \| player \| county \| tally \| total \| opposition row 1 : 1 \| eamonn flynn \| dublin \| 3-5 \| 14 \| wexford row 2 : 1 \| charlie mccarthy \| cork \| 2-8 \| 14 \| galway row 3 : 3 \| paddy fahy \| galway \| 2-7 \| 13 \| kildare row 4 : 5 \| charlie mccarthy \| cork \| 3-3 \| 12 \| offaly row 5 : 5 \| michael moroney \| clare \| 2-6 \| 12 \| dublin row 6 : 5 \| declan lovett \| kerry \| 1-9 \| 12 \| galway row 7 : 9 \| ger cuddy \| laois \| 3-2 \| 11 \| wicklow row 8 : 9 \| pat enright \| waterford \| 2-5 \| 11 \| kerry row 9 : 9 \| pat enright \| waterford \| 1-8 \| 11 \| laois row 10 : 9 \| johnny walsh \| kildare \| 0-11 \| 11 \| waterford row 11 : 9 \| eddie keher \| kilkenny \| 0-11 \| 11 \| wexford row 12 : 14 \| brendan cummins \| cork \| 3-1 \| 10 \| wexford row 13 : 14 \| p. j. molloy \| galway \| 3-1 \| 10 \| kerry row 14 : 14 \| nick behan \| kildare \| 3-1 \| 10 \| kerry row 15 : 14 \| seanie o'leary \| cork \| 3-1 \| 10 \| limerick row 16 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| wexford row 17 : 14 \| declan lovett \| kerry \| 2-4 \| 10 \| waterford row 18 : 14 \| michael keating \| tipperary \| 2-4 \| 10 \| dublin row 19 : 14 \| eddie keher \| kilkenny \| 2-4 \| 10 \| dublin row 20 : 14 \| mick dwan \| kildare \| 2-4 \| 10 \| antrim row 21 : 14 \| charlie mccarthy \| cork \| 1-7 \| 10 \| kilkenny row 22 : 14 \| paddy fahy \| galway \| 0-10 \| 10 \| kerry row 23 : 14 \| johnny walsh \| kildare \| 0-10 \| 10 \| westmeath row 24 : 27 \| p flynn \| wexford \| 3-0 \| 9 \| offaly row 25 : 27 \| n casey \| clare \| 3-0 \| 9 \| cork row 26 : 27 \| willie moore \| limerick \| 3-0 \| 9 \| cork row 27 : 27 \| ger cuddy \| laois \| 3-0 \| 9 \| westmeath row 28 : 27 \| tom ryan \| galway \| 3-0 \| 9 \| laois row 29 : 27 \| seanie o'leary \| cork \| 3-0 \| 9 \| offaly row 30 : 27 \| p flynn \| wexford \| 2-3 \| 9 \| cork row 31 : 27 \| eddie keher \| kilkenny \| 2-3 \| 9 \| limerick row 32 : 27 \| johnny walsh \| kildare \| 1-6 \| 9 \| galway row 33 : 27 \| francis loughnane \| tipperary \| 1-6 \| 9 \| cork row 34 : 27 \| richie bennis \| limerick \| 1-6 \| 9 \| cork row 35 : 27 \| pat enright \| waterford \| 0-9 \| 9 \| kildare row 36 : 27 \| johnny walsh \| kildare \| 0-9 \| 9 \| kerry ] Execute this SQL based on the above table: select count ( tally ) where county = 'clare'	2
[ header: years \| building \| city \| height (ctbuh) \| floors row 1 : 1975-present \| first canadian place \| toronto \| 298.1 m (978 ft) \| 72 row 2 : 1972-1975 \| commerce court west \| toronto \| 239.0 m (784 ft \| 57 row 3 : 1967-1972 \| toronto-dominion centre \| toronto \| 222.8 m (731 ft) \| 56 row 4 : 1964-1967 \| tour de la bourse \| montreal \| 190.0 m (623 ft) \| 47 row 5 : 1962-1964 \| place ville-marie \| montreal \| 188.0 m (617 ft) \| 44 row 6 : 1962 \| tour cibc \| montreal \| 184.0 m (604 ft) \| 45 row 7 : 1931-1962 \| commerce court north \| toronto \| 145.0 m (476 ft) \| 34 ] Execute this SQL based on the above table: select city group by city order by count ( * ) limit 1	montreal
[ header: title \| release \| genre \| computer \| console \| handheld \| smartphone row 1 : bionicle heroes \| 2006 \| third-person shooter \| windows \| playstation 2, gamecube, xbox \| nintendo ds \| None row 2 : bionicle: matoran adventures \| 2002 \| platformer \| None \| None \| game boy advance \| None row 3 : bionicle: maze of shadows \| 2005 \| turn based rpg \| None \| None \| game boy advance \| None row 4 : bionicle: the game \| 2003 \| adventure \| windows, os x \| playstation 2, gamecube, xbox \| game boy advance \| None row 5 : drome racers \| 2002 \| racing \| windows \| playstation 2, gamecube, xbox \| game boy advance \| None row 6 : island xtreme stunts \| 2002 \| action-adventure \| windows \| playstation 2 \| game boy advance \| None row 7 : lego alpha team \| 2000 \| action \| windows \| None \| game boy color \| None row 8 : lego battles \| 2009 \| real-time strategy \| None \| None \| nintendo ds \| None row 9 : lego battles: ninjago \| 2011 \| real-time strategy \| None \| None \| nintendo ds \| ios row 10 : lego chess \| 1998 \| strategy \| windows \| None \| None \| None row 11 : lego city undercover \| 2013 \| open world, platform game \| None \| wii u \| None \| None row 12 : lego city undercover: the chase begins \| 2013 \| open world, platform game \| None \| None \| nintendo 3ds \| None row 13 : lego creationary \| 2011 \| puzzle \| None \| None \| None \| ios, android row 14 : lego creator: knights kingdom \| 2000 \| construction and management simulation \| windows \| None \| None \| None row 15 : lego friends \| 2013 \| miscellaneous \| None \| None \| nintendo ds, \| None row 16 : lego island \| 1997 \| action-adventure \| windows \| None \| None \| None row 17 : lego island 2 the brickster's revenge \| 2001 \| action-adventure \| windows \| playstation \| game boy color, game boy advance \| None row 18 : lego knights' kingdom \| 2004 \| action-adventure \| None \| None \| game boy advance \| None row 19 : lego legends of chima online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| None row 20 : lego legends of chima: speed \| 2013 \| racing \| windows \| None \| None \| ios row 21 : lego loco \| 1998 \| virtual world \| windows \| None \| None \| None row 22 : lego minifigures online \| 2014 \| massively multiplayer online (mmo) \| windows \| None \| None \| ios, android row 23 : lego my style kindergarten \| 2000 \| educational \| windows, mac os \| None \| None \| None row 24 : lego my style preschool \| 2000 \| educational \| windows, mac os \| None \| None \| None row 25 : lego ninjago: the final \| 2013 \| platformer \| windows \| None \| None \| None row 26 : lego racers \| 1999 \| racing \| windows \| playstation, nintendo 64 \| game boy color \| None row 27 : lego racers 2 \| 2001 \| racing \| windows \| playstation 2 \| game boy advance \| None row 28 : lego rock raiders \| 1999 \| real-time strategy, action \| windows \| playstation \| None \| None row 29 : lego soccer mania \| 2002 \| sport \| windows \| playstation 2 \| game boy advance \| None row 30 : lego stunt rally \| 2000 \| racing \| windows \| None \| game boy color \| None row 31 : lego universe \| 2010 \| massively multiplayer online (mmo) \| windows, os x \| None \| None \| None row 32 : legoland \| 1999 \| simulation strategy \| windows \| None \| None \| None ] Execute this SQL based on the above table: select smartphone order by handheld asc limit 828	ios, android, ios, ios, android, ios
[ header: year \| single \| chart \| position row 1 : 1999 \| "heavy" \| billboard hot 100 \| 73 row 2 : 1999 \| "heavy" \| mainstream rock tracks \| 1 row 3 : 1999 \| "heavy" \| modern rock tracks \| 5 row 4 : 1999 \| "run" \| billboard hot 100 \| 76 row 5 : 1999 \| "run" \| modern rock tracks \| 36 row 6 : 1999 \| "run" \| adult top 40 \| 12 row 7 : 1999 \| "no more, no less" \| mainstream rock tracks \| 10 row 8 : 1999 \| "no more, no less" \| modern rock tracks \| 32 row 9 : 1999 \| "tremble for my beloved" \| mainstream rock tracks \| 35 ] Execute this SQL based on the above table: select sum ( position ) where single in ( '"run"' , '"run"' , '"run"' )	124.0
[ header: state \| no. of candidates \| no. of elected \| total no. of seats in assembly \| year of election row 1 : andhra pradesh \| 12 \| 6 \| 294 \| 2004 row 2 : assam \| 19 \| 1 \| 126 \| 2001 row 3 : bihar \| 153 \| 5 \| 324 \| 2000 row 4 : chhattisgarh \| 18 \| 0 \| 90 \| 2003 row 5 : delhi \| 2 \| 0 \| 70 \| 2003 row 6 : goa \| 3 \| 0 \| 40 \| 2002 row 7 : gujarat \| 1 \| 0 \| 181 \| 2002 row 8 : haryana \| 10 \| 0 \| 90 \| 2000 row 9 : himachal pradesh \| 7 \| 0 \| 68 \| 2003 row 10 : jammu and kashmir \| 5 \| 0 \| 87 \| 2002 row 11 : karnataka \| 5 \| 0 \| 224 \| 2004 row 12 : kerala \| 22 \| 17 \| 140 \| 2006 row 13 : madhya pradesh \| 17 \| 0 \| 230 \| 2003 row 14 : maharashtra \| 19 \| 0 \| 288 \| 1999 row 15 : manipur \| 16 \| 4 \| 60 \| 2006 row 16 : meghalaya \| 3 \| 0 \| 60 \| 2003 row 17 : mizoram \| 4 \| 0 \| 40 \| 2003 row 18 : odisha \| 6 \| 1 \| 147 \| 2004 row 19 : puducherry \| 2 \| 0 \| 30 \| 2001 row 20 : punjab \| 11 \| 0 \| 117 \| 2006 row 21 : rajasthan \| 15 \| 0 \| 200 \| 2003 row 22 : tamil nadu \| 8 \| 6 \| 234 \| 2006 row 23 : tripura \| 2 \| 1 \| 60 \| 2003 row 24 : uttar pradesh \| 5 \| 0 \| 402 \| 2002 row 25 : uttarakhand \| 14 \| 0 \| 70 \| 2002 row 26 : west bengal \| 13 \| 8 \| 294 \| 2006 ] Execute this SQL based on the above table: select state where total no. of seats in assembly = 324	bihar
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select count ( * )	17
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 29 march 2000 \| vasil levski national stadium, so \| belarus \| 1-0 \| 4-1 \| friendly row 2 : 2 \| 7 october 2000 \| georgi asparuhov stadium, so \| malta \| 3-0 \| 3-0 \| 2002 world cup qualifier row 3 : 3 \| 27 march 2003 \| stadion mladost, \| serbia and montenegro \| 2-1 \| 2-1 \| friendly row 4 : 4 \| 7 june 2003 \| vasil levski national stadium, so \| belgium \| 2-2 \| 2-2 \| euro 2004 qualifier row 5 : 5 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 5-0 \| 6-2 \| friendly row 6 : 6 \| 12 november 2005 \| vasil levski national stadium, so \| georgia \| 6-2 \| 6-2 \| friendly row 7 : 7 \| 9 may 2006 \| nagai stadium, osaka \| japan \| 1-0 \| 2-1 \| 2006 kirin cup ] Execute this SQL based on the above table: select count ( * ) where venue > 471	7
[ header: protein \| natural host \| normal function \| prion state \| prion phenotype \| year identified row 1 : ure2p \| saccharomyces cerevisiae \| nitrogen catabolite repressor \| [ure3] \| growth on poor nitrogen sources \| 1994 row 2 : sup35p \| saccharomyces cerevisiae \| translation termination factor \| [psi+] \| increased levels of nonsense suppression \| 1994 row 3 : het-s \| podospora anserina \| regulates heterokaryon incompatibility \| [het-s] \| heterokaryon formation between incompatible strains \| 1997 row 4 : vacuolar protease b \| saccharomyces cerevisiae \| death in stationary phase, failure in meio \| [β] \| failure to degrade cellular proteins under n \| 2003 row 5 : map kinases \| podospora anserina \| increased pigment, slow growth \| [c] \| None \| 2006 row 6 : rnq1p \| saccharomyces cerevisiae \| protein template factor \| [rnq+],[pin+] \| promotes aggregation of other prions \| 2008 row 7 : mca1 \| saccharomyces cerevisiae \| putative yeast caspase \| [mca+] \| None \| 2008 row 8 : swi1 \| saccharomyces cerevisiae \| chromatin remodeling \| [swi+] \| poor growth on some carbon sources \| 2008 row 9 : cyc8 \| saccharomyces cerevisiae \| transcriptional repressor \| [oct+] \| transcriptional derepression of multiple genes \| 2009 row 10 : mot3 \| saccharomyces cerevisiae \| nuclear transcription factor \| [mot3+] \| transcriptional derepression of anaero \| 2009 row 11 : pma1+std1 \| saccharomyces cerevisiae \| pma1 = major plasma membrane proton pump \| [gar+] \| resistant to glucose-associated repression \| 2009 row 12 : sfp1 \| saccharomyces cerevisiae \| global transcriptional regulator \| [isp+] \| antisuppressor of certain sup \| 2010 row 13 : mod5 \| saccharomyces cerevisiae \| None \| [mod+] \| None \| 2012 ] Execute this SQL based on the above table: select normal function where normal function = 'translation termination factor'	translation termination factor
[ header: election year \| # of constituency votes \| % of constituency votes \| +/- \| # of party list votes \| % of party list votes \| +/- \| # of overall seats won row 1 : 1965 \| 587216 \| 1.8 \| 1.8 \| 664193 \| 2 \| 2 \| 0 / 518 row 2 : 1969 \| 1189375 \| 3.6 \| 1.8 \| 1422010 \| 4.3 \| 2.3 \| 0 / 518 row 3 : 1972 \| 194389 \| 0.5 \| 3.1 \| 207465 \| 0.6 \| 3.7 \| 0 / 518 row 4 : 1976 \| 136.023 \| 0.4 \| 0.1 \| 122661 \| 0.3 \| 0.3 \| 0 / 518 row 5 : 1980 \| None \| None \| None \| 68096 \| 0.2 \| 0.1 \| 0 / 497 row 6 : 1983 \| 57112 \| 0.1 \| 0.3 \| 91095 \| 0.2 \| 0 \| 0 / 498 row 7 : 1987 \| 182880 \| 0.5 \| 0.4 \| 227054 \| 0.6 \| 0.4 \| 0 / 497 row 8 : 1990 \| 190105 \| 0.4 \| 0.1 \| 145776 \| 0.3 \| 0.3 \| 0 / 662 row 9 : 1998 \| 45043 \| 0.1 \| 0.3 \| 126571 \| 0.3 \| 0 \| 0 / 669 row 10 : 2002 \| 103209 \| 0.1 \| 0.1 \| 215232 \| 0.4 \| 0.1 \| 0 / 603 row 11 : 2005 \| 857.777 \| 1.8 \| 1.6 \| 748568 \| 1.6 \| 1.2 \| 0 / 614 row 12 : 2009 \| 768442 \| 1.8 \| 0 \| 635525 \| 1.5 \| 0.1 \| 0 / 620 row 13 : 2013 \| 634842 \| 1.5 \| 0.3 \| 560660 \| 1.3 \| 0.2 \| 0 / 630 ] Execute this SQL based on the above table: select count ( # of overall seats won ) where % of party list votes = 0	0
[ header: car \| engine \| compression \| power \| torque \| turbo \| stock boost \| turbine \| compressor row 1 : '89 u12 bluebird l \| redtop \| 8.5:1 \| 150 kw (201 hp) \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 2 : '91-'95 u13 blue \| redtop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 3 : '95-'97 w10 \| silvertop \| 8.5:1 \| 154 kw (206 hp \| 202 lb·ft (274 \| t-25g \| 7psi \| None \| None row 4 : '97-'01 w11 \| silvertop \| 8.5:1 \| 169 kw (227 hp \| 203 lb·ft (275 \| t-25bb \| 9psi \| None \| None row 5 : '90-'94 n14 \| redtop \| 8.3:1 \| 169 kw (227 hp \| 210 lb·ft (280 \| t-28 \| 7psi \| 79 trim 53 mm (2.1 in) \| 60 trim 60 mm bci-1 row 6 : '91-'93 s13 si \| redtop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 7 : '94-'98 s13 180 \| blacktop \| 8.5:1 \| 151 kw (202 hp \| 203 lb·ft (275 \| t-25g \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 56mm bci-1 row 8 : '95-'99 s14 si \| blacktop \| 8.5:1 \| 162 kw (217 hp \| 203 lb·ft (275 \| t-28 \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 row 9 : '99-02 s15 sil \| blacktop \| 8.5:1 \| 183 kw (245 hp \| 202 lb·ft (274 \| t-28bb \| 7psi \| 62 trim 53.8 mm (2.1 in \| 60 trim 60 mm bci-1 ] Execute this SQL based on the above table: select ( select compression where compressor = '60 trim 60 mm bci-1 in t-04b housing' ) - ( select compression where compressor = '60 trim 56mm bci-1' )	0.0
[ header: name \| position \| height \| weight \| date of birth \| current/last known team row 1 : jonathan aldridge \| inf \| 5'10 \| 150 \| 10/20/1975 \| saskatoon legends (2003) row 2 : henrry alvarez \| c \| 6'2 \| 185 \| 10/20/1979 \| saskatoon legends (2003) row 3 : bobby brown \| of \| 5'11 \| 180 \| 05/24/1974 \| sioux city explorers - northern row 4 : derek cockroft \| p \| 6'4 \| 225 \| 11/23/1980 \| australian capital territory eagles row 5 : bienvenido feliz (note: \| p \| 6'1 \| 210 \| 06/04/1977 \| newark bears - atlantic league row 6 : david garcia \| p \| 6'5 \| 203 \| 11/08/1980 \| saskatoon legends (2003) row 7 : craig kilshaw \| p \| 6'3 \| 195 \| 02/14/1980 \| saskatoon legends (2003) row 8 : joe kirby \| inf \| 6'0 \| 180 \| 03/23/1979 \| brock university badgers - on row 9 : ryan koback \| p \| 6'6 \| 245 \| 12/31/1981 \| saskatoon yellow jackets row 10 : javier lorenzo \| p \| 6'0 \| 168 \| 12/26/1978 \| saskatoon legends (2003) row 11 : alejandro martinez \| inf \| 6'1 \| 215 \| 05/22/1977 \| laredo broncos - united row 12 : sean murphy \| inf \| 5'10 \| 180 \| 05/03/1972 \| elmira pioneers - northeast row 13 : jose olmeda \| inf \| 6'1 \| 170 \| 07/07/1977 \| edinburg coyotes - row 14 : darwin peguero \| p \| 6'0 \| 192 \| 12/05/1978 \| newark bears - atlantic league row 15 : frankie perez \| of \| 5'11 \| 185 \| 10/26/1978 \| saskatoon legends (2003) row 16 : jd scholten \| p \| 6'6 \| 228 \| 03/04/1980 \| sioux city explorers - american row 17 : chris seaton \| p \| 6'0 \| 195 \| 09/22/1978 \| schaumburg flyers - northern league row 18 : hirotaka shimizu \| of \| 5'11 \| 172 \| 01/18/1978 \| sichuan dragons - chines row 19 : matt teahen \| inf \| 6'0 \| 210 \| 02/27/1979 \| mid-missouri mavericks row 20 : angel tovar \| p \| 6'4 \| 195 \| 04/25/1978 \| olmecas de tabasco row 21 : carlos urquiola (note: the \| inf \| 5'8 \| 150 \| 04/22/1980 \| ceci & negri parma row 22 : ben van iderstine \| of \| 6'2 \| 200 \| 01/20/1978 \| sioux falls canaries - american association row 23 : kenny white \| p \| 6'1 \| 170 \| 11/27/1978 \| gary railcats - northern league (2004) ] Execute this SQL based on the above table: select date of birth where date of birth = ( select date of birth where date of birth = '02/14/1980' ) - 1	01/18/1978, 01/20/1978
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| hammer \| 54.43 m row 2 : 2005 \| alba games \| la habana, cuba \| 1st \| hammer \| 63.30 m row 3 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 4th \| hammer \| 60.49 m row 4 : 2005 \| pan american junior championships \| windsor, canada \| 1st \| hammer \| 64.80 m row 5 : 2006 \| nacac u23 championships \| santo domingo, dominican \| 2nd \| hammer \| 66.28 m row 6 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| hammer \| 68.70 m row 7 : 2007 \| world championships \| osaka, japan \| 9th \| hammer \| 70.20 m row 8 : 2008 \| olympic games \| beijing, china \| 15th (q) \| hammer \| 68.74 m row 9 : 2009 \| alba games \| la habana, cuba \| 2nd \| hammer \| 68.89 m row 10 : 2009 \| central american and caribbean championships \| havana, cuba \| 1st \| hammer \| 71.32 m row 11 : 2009 \| world championships \| berlin, germany \| 16th (q) \| hammer \| 69.97 m row 12 : 2011 \| pan american games \| guadalajara, me \| 4th \| hammer \| 68.88 m row 13 : 2012 \| olympic games \| london, united kingdom \| 23rd (q) \| hammer \| 67.93 m ] Execute this SQL based on the above table: select count ( competition ) where competition = 'world youth championships'	1
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select count ( * ) where crystal bicycle (best professional cyclist) > 1783	22
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select landline prefixes order by id desc limit 1	ndc + '45' + 4-5 digits
[ header: date announced \| plant name \| location \| date of closing \| products \| employees row 1 : january 23, 2006 \| st. louis assembly \| hazelwood, missouri \| 2006 \| ford explorer lincoln \| 1445 row 2 : january 23, 2006 \| atlanta assembly \| hapeville, georgia \| oct. 2006 \| ford taurus mercury sable \| 2028 row 3 : january 23, 2006 \| batavia transmission \| batavia, ohio \| 2008 \| transmissions \| 1745 row 4 : january 23, 2006 \| windsor casting \| windsor, ontario, canada \| 2008 \| engine blocks, parts \| 684 row 5 : january 23, 2006 \| wixom assembly \| wixom, michigan \| june 2007 \| lincoln town car lin \| 1567 row 6 : april 13, 2006 \| twin cities assembly \| st. paul, minneso \| 2011 \| ford ranger mazda b \| 1885 row 7 : april 13, 2006 \| norfolk assembly \| norfolk, virginia, \| 2007 \| ford f-series \| 2433 row 8 : september 14, 2006 \| essex engine \| windsor, ontario, canada \| 2008 \| ford triton engine ford esse \| None row 9 : september 14, 2006 \| maumee stamping \| maumee, ohio \| 2008 \| body panels \| None row 10 : total \| total \| total \| total \| total \| 11787 ] Execute this SQL based on the above table: select date of closing order by employees asc limit 1	2008
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select film where year = 1986	love 86
[ header: week \| date \| tv time \| opponent \| result \| game site \| record \| attendance \| bye row 1 : 1 \| september 7, 1998 \| abc 7:00 pm mt \| new england patriots \| w 27-21 \| mile high stadium (abc) \| 1-0 \| 74745 \| 0 row 2 : 2 \| september 13, 1998 \| fox 2:00 pm mt \| dallas cowboys \| w 42-23 \| mile high stadium (fox) \| 2-0 \| 75013 \| 0 row 3 : 3 \| september 20, 1998 \| cbs 2:00 pm mt \| at oakland raiders \| w 34-17 \| oakland-alameda county \| 3-0 \| 56578 \| 0 row 4 : 4 \| september 27, 1998 \| cbs 11:00 am mt \| at washington redskins \| w 38-16 \| fedex field (cbs) \| 4-0 \| 71880 \| 0 row 5 : 5 \| october 4, 1998 \| fox 2:00 pm mt \| philadelphia eagles \| w 41-16 \| mile high stadium (fox) \| 5-0 \| 73218 \| 0 row 6 : 6 \| october 11, 1998 \| cbs 2:00 pm mt \| at seattle seahawks \| w 21-16 \| kingdome (cbs) \| 6-0 \| 66258 \| 0 row 7 : 7 \| None \| None \| None \| None \| None \| None \| None \| 1 row 8 : 8 \| october 25, 1998 \| cbs 2:00 pm mt \| jacksonville jaguars \| w 37-24 \| mile high stadium (cbs) \| 7-0 \| 75217 \| 0 row 9 : 9 \| november 1, 1998 \| cbs 11:00 am mt \| at cincinnati bengals \| w 33-26 \| cinergy field (cbs) \| 8-0 \| 59974 \| 0 row 10 : 10 \| november 8, 1998 \| cbs 2:00 pm mt \| san diego chargers \| w 27-10 \| mile high stadium (cbs) \| 9-0 \| 74925 \| 0 row 11 : 11 \| november 16, 1998 \| abc 7:00 pm mt \| at kansas city chiefs \| w 30-7 \| arrowhead stadium (abc) \| 10-0 \| 78100 \| 0 row 12 : 12 \| november 22, 1998 \| cbs 2:00 pm mt \| oakland raiders \| w 40-14 \| mile high stadium (cbs) \| 11-0 \| 75325 \| 0 row 13 : 13 \| november 29, 1998 \| espn 6:15 pm mt \| at san diego chargers \| w 31-16 \| qualcomm stadium (espn \| 12-0 \| 66532 \| 0 row 14 : 14 \| december 6, 1998 \| cbs 2:00 pm mt \| kansas city chiefs \| w 35-31 \| mile high stadium (cbs) \| 13-0 \| 74962 \| 0 row 15 : 15 \| december 13, 1998 \| cbs 11:00 am mt \| at new york giants \| l 16-20 \| giants stadium (cbs) \| 13-1 \| 72336 \| 0 row 16 : 16 \| december 21, 1998 \| abc 7:00 pm mt \| at miami dolphins \| l 21-31 \| pro player stadium (abc) \| 13-2 \| 74363 \| 0 row 17 : 17 \| december 27, 1998 \| cbs 2:15 pm mt \| seattle seahawks \| w 28-21 \| mile high stadium (cbs) \| 14-2 \| 74057 \| 0 ] Execute this SQL based on the above table: select result where id = ( select id where result = 'w 30-7' ) + 1	w 40-14
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select count ( single ) where peak chart positions us != 0	10
[ header: outcome \| no. \| date \| tournament \| surface \| partner \| opponents in the final \| score in the final row 1 : runner-up \| 1 \| 1969 \| los angeles, u.s \| hard \| jim mcmanus \| pancho gonzales ron \| 3-6, 4-6 row 2 : runner-up \| 2 \| 1970 \| merion, u.s \| hard \| jim mcmanus \| william bowrey ray ruf \| 6-3, 2-6, 5-7 row 3 : winner \| 1 \| 1971 \| columbus, u.s \| hard \| jim mcmanus \| jimmy connors ros \| 4-6, 7-5, 6-2 row 4 : winner \| 2 \| 1971 \| merion, u.s \| hard \| clark graebner \| robert mckinley \| 7-6, 6-3 row 5 : winner \| 3 \| 1971 \| sacramento, u. \| hard \| jim mcmanus \| bob maud frew m \| 7-6, 6-3 row 6 : winner \| 4 \| 1972 \| los angeles, u.s \| outdoor \| jim mcmanus \| ilie nastase i \| 6-2, 5-7, 6-4 row 7 : winner \| 5 \| 1972 \| london/queen's club \| grass \| jim mcmanus \| jurgen fassbender karl me \| 4-6, 6-3, 7-5 row 8 : runner-up \| 3 \| 1972 \| tanglewood, u.s \| other \| jim mcmanus \| bob hewitt andrew \| 4-6, 4-6 ] Execute this SQL based on the above table: select count ( score in the final ) where date > 613	8
[ header: team \| home city \| stadium \| capacity \| last season row 1 : barak netanya \| netanya \| yeshurun \| 1000 \| 9th row 2 : bnei hasharon/her \| herzliya \| hayovel herzliya \| 1750 \| 10th row 3 : hapoel gilbo \| gilboa regional council \| gan ner sports hall \| 2400 \| 2nd row 4 : hapoel holon \| holon \| holon city arena \| 2850 \| 5th row 5 : hapoel jerusalem \| jerusalem \| malha arena \| 3000 \| 4th row 6 : ironi ashkelon \| ashkelon \| ashkelon sports arena \| 3000 \| 6th row 7 : maccabi ashdod \| ashdod \| hakiriya arena \| 1260 \| 7th row 8 : hapoel eilat \| eilat \| begin arena \| 1100 \| 8th (as habik'a row 9 : maccabi haifa \| haifa \| romema arena \| 5000 \| 11th row 10 : maccabi rishon lezion \| rishon lezion \| beit maccabi rishon \| 2500 \| 3rd row 11 : maccabi tel aviv \| tel aviv \| nokia arena \| 11700 \| 1st row 12 : hapoel tel aviv \| tel aviv \| beit maccabi rishon \| 2500 \| 1st (liga leumit) ] Execute this SQL based on the above table: select min ( capacity )	1000.0
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : uberlingen \| imperial city \| swab \| sw \| 1268 \| 1803: mediatized to baden row 2 : ulm \| 1155: free imperial city \| swab \| sw \| 1115 \| 1803: mediatized to bavaria row 3 : umpfenbach \| lordship 1805: hre \| None \| None \| None \| to trauttmansdorff row 4 : unterwalden \| imperial valley \| None \| None \| 1415 \| division into nidwalden and row 5 : upper salm \| 1163: county \| None \| None \| 1170 \| partitioned from salm 1499: raised row 6 : upper bavaria (oberbayern \| duchy \| None \| None \| 1255 \| None row 7 : upper schonburg \| county \| upp sax \| None \| 1569 \| partitioned from schonburg 1800: partitione row 8 : urach \| county \| None \| None \| None \| 1060: 1st mention of ur row 9 : uri \| imperial valley \| None \| None \| 1231 \| split off from habsburg 1648: left empire row 10 : ursberg \| 1143: hre abbey \| swab \| None \| None \| 1803; secularized row 11 : utrecht \| bishopric \| burg \| ec \| 1024 \| 1512: burgundian circle 1528 row 12 : uznach \| county \| None \| None \| None \| None ] Execute this SQL based on the above table: select circle where name > ( select name where circle = 'swab' ) order by name asc limit 1	swab
[ header: character \| м \| м \| м \| м row 1 : unicode name \| cyrillic capital letter e \| cyrillic capital letter e \| cyrillic small letter e \| cyrillic small letter e row 2 : encodings \| decimal \| hex \| decimal \| hex row 3 : unicode \| 1052 \| u+041c \| 1084 \| u+043c row 4 : utf-8 \| 208 156 \| d0 9c \| 208 188 \| d0 bc row 5 : numeric character reference \| М \| М \| м \| м row 6 : koi8-r and k \| 237 \| ed \| 205 \| cd row 7 : code page 855 \| 211 \| d3 \| 210 \| d2 row 8 : code page 866 \| 140 \| 8c \| 172 \| ac row 9 : windows-1251 \| 204 \| cc \| 236 \| ec row 10 : iso-8859-5 \| 188 \| bc \| 220 \| dc row 11 : macintosh cyril \| 140 \| 8c \| 236 \| ec ] Execute this SQL based on the above table: select max ( м ) where character = 'macintosh cyrillic'	236.0
[ header: district \| name \| party \| district office \| first elected row 1 : 1 \| a.g. crowe \| rep \| slidell \| 2007 row 2 : 2 \| troy brown \| dem \| napoleonville \| 2011 row 3 : 3 \| j.p. morrell \| dem \| new orleans \| 2008 row 4 : 4 \| ed murray \| dem \| new orleans \| 2005 row 5 : 5 \| karen carter peterson \| dem \| new orleans \| 2010 row 6 : 6 \| bodi white \| rep \| baton rouge \| 2011 row 7 : 7 \| david heitmeier \| dem \| new orleans \| 2007 row 8 : 8 \| john alario \| rep \| westwego \| 2007 row 9 : 9 \| conrad appel \| rep \| metairie \| 2008 row 10 : 10 \| daniel martiny \| rep \| metairie \| 2007 row 11 : 11 \| jack donahue \| rep \| mandeville \| 2007 row 12 : 12 \| ben nevers \| dem \| bogalusa \| 2003 row 13 : 13 \| dale m. erdey \| rep \| livingston \| 2007 row 14 : 14 \| yvonne dorsey- \| dem \| baton rouge \| 2007 row 15 : 15 \| sharon weston broome \| dem \| baton rouge \| 2004 row 16 : 16 \| dan claitor \| rep \| baton rouge \| 2009 row 17 : 17 \| rick ward, iii \| rep \| port allen \| 2011 row 18 : 18 \| jody amedee \| rep \| gonzales \| 2003 row 19 : 19 \| gary smith, jr \| dem \| norco \| 2011 row 20 : 20 \| norby chabert \| rep \| houma \| 2009 row 21 : 21 \| bret allain \| rep \| franklin \| 2011 row 22 : 22 \| fred h. mills, \| rep \| new iberia \| 2011 row 23 : 23 \| page cortez \| rep \| lafayette \| 2011 row 24 : 24 \| elbert guillory \| rep \| opelousas \| 2009 row 25 : 25 \| dan "blade" morrish \| rep \| jennings \| 2007 row 26 : 26 \| jonathan perry \| rep \| kaplan \| 2011 row 27 : 27 \| ronnie johns \| rep \| lake charles \| 2011 row 28 : 28 \| eric lafleur \| dem \| ville platte \| 2007 row 29 : 29 \| rick gallot \| dem \| ruston \| 2011 row 30 : 30 \| john r. smith \| rep \| leesville \| 2007 row 31 : 31 \| gerald long \| rep \| winnfield \| 2007 row 32 : 32 \| neil riser \| rep \| columbia \| 2007 row 33 : 33 \| mike walsworth \| rep \| west monroe \| 2007 row 34 : 34 \| francis c. thomp \| dem \| delhi \| 2007 row 35 : 35 \| robert kostelka \| rep \| monroe \| 2003 row 36 : 36 \| robert adley \| rep \| benton \| 2003 row 37 : 37 \| barrow peacock \| rep \| bossier \| 2011 row 38 : 38 \| sherri smith buffington \| rep \| keithville \| 2003 row 39 : 39 \| gregory tarver \| dem \| shreveport \| 2011 ] Execute this SQL based on the above table: select count ( * ) where first elected = 2009	3
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 2 \| 38 \| bradley smith \| aprilia \| 22 \| 4.638 \| 3 \| 20 row 2 : 3 \| 44 \| pol espargaro \| derbi \| 22 \| 4.996 \| 2 \| 16 row 3 : 4 \| 11 \| sandro cortese \| derbi \| 22 \| 45.366 \| 5 \| 13 row 4 : 5 \| 7 \| efren vazquez \| derbi \| 22 \| 45.433 \| 8 \| 11 row 5 : 6 \| 71 \| tomoyoshi koyama \| aprilia \| 22 \| 49.685 \| 6 \| 10 row 6 : 7 \| 35 \| randy krummenacher \| aprilia \| 22 \| 49.735 \| 14 \| 9 row 7 : 8 \| 14 \| johann zarco \| aprilia \| 22 \| 49.743 \| 10 \| 8 row 8 : 9 \| 94 \| jonas folger \| aprilia \| 22 \| 49.775 \| 12 \| 7 row 9 : 10 \| 99 \| danny webb \| aprilia \| 22 \| 53.115 \| 16 \| 6 row 10 : 11 \| 26 \| adrian martin \| aprilia \| 22 \| 58.669 \| 19 \| 5 row 11 : 12 \| 15 \| simone grotzkyj \| aprilia \| 22 \| 58.8 \| 11 \| 4 row 12 : 13 \| 23 \| alberto moncayo \| aprilia \| 22 \| +1:02.050 \| 13 \| 3 row 13 : 14 \| 78 \| marcel schrotter \| honda \| 22 \| +1:15.497 \| 23 \| 2 row 14 : 15 \| 63 \| zulfahmi khai \| aprilia \| 22 \| +1:16.029 \| 18 \| 1 row 15 : 19 \| 58 \| joan perello \| honda \| 22 \| +1:36.223 \| 26 \| None row 16 : 20 \| 60 \| michael van der mark \| lambretta \| 22 \| +1:36.340 \| 27 \| None row 17 : 21 \| 59 \| johnny rosell \| honda \| 22 \| +1:43.804 \| 22 \| None row 18 : 22 \| 72 \| marco ravaioli \| lambretta \| 22 \| +1:55.331 \| 30 \| None row 19 : 23 \| 56 \| peter sebestyen \| aprilia \| 21 \| +1 lap \| 32 \| None row 20 : ret \| 40 \| nicolas terol \| aprilia \| 21 \| accident \| 4 \| None row 21 : ret \| 39 \| luis salom \| aprilia \| 14 \| retirement \| 15 \| None row 22 : ret \| 17 \| eduard lopez \| aprilia \| 11 \| retirement \| 31 \| None row 23 : ret \| 55 \| isaac vinales \| aprilia \| 10 \| accident \| 21 \| None row 24 : ret \| 50 \| sturla fagerhaug \| aprilia \| 7 \| accident \| 17 \| None row 25 : ret \| 12 \| esteve rabat \| aprilia \| 0 \| accident \| 7 \| None row 26 : ret \| 53 \| jasper iwema \| aprilia \| 0 \| accident \| 20 \| None row 27 : dns \| 32 \| lorenzo savadori \| aprilia \| None \| did not start \| 29 \| None ] Execute this SQL based on the above table: select no where time = '58.669'	26.0
[ header: league \| league \| position \| teams \| matches \| win \| lose row 1 : v1.league \| 3rd (2000-01) \| 8th \| 8 \| 14 \| 0 \| 14 row 2 : v1.league \| 4th (2001-02) \| 7th \| 7 \| 12 \| 1 \| 11 row 3 : v1.league \| 5th (2002-03) \| 3rd \| 8 \| 14 \| 9 \| 5 row 4 : v1.league \| 6th (2003-04) \| champion \| 7 \| 12 \| 11 \| 1 row 5 : v1.league \| 7th (2004-05) \| 3rd \| 8 \| 14 \| 10 \| 4 row 6 : v1.league \| 8th (2005-06) \| 4th \| 8 \| 14 \| 8 \| 6 row 7 : v・challenge \| 2006-07 \| 6th \| 8 \| 14 \| 5 \| 9 row 8 : v・challenge \| 2007-08 \| 8th \| 8 \| 14 \| 1 \| 13 row 9 : v・challenge \| 2008-09 \| 7th \| 10 \| 18 \| 8 \| 10 row 10 : v・challenge \| 2009-10 \| 5th \| 12 \| 16 \| 8 \| 8 row 11 : v・challenge \| 2010-11 \| 5th \| 12 \| 18 \| 11 \| 7 row 12 : v・challenge \| 2011-12 \| 3rd \| 12 \| 22 \| 16 \| 6 row 13 : v・challenge \| 2012-13 \| 5th \| 10 \| 18 \| 9 \| 9 ] Execute this SQL based on the above table: select matches where league = '2011-12'	22
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select low where high = 12265	9261
[ header: member \| party \| electorate \| state \| first elected row 1 : charles adermann \| country \| fisher \| qld \| 1943 row 2 : hon howard beale \| liberal \| parramatta \| nsw \| 1946 row 3 : doug berry \| liberal \| griffith \| qld \| 1949 row 4 : francis bland \| liberal \| warringah \| nsw \| 1951 row 5 : wilfred brimblecomb \| country \| maranoa \| qld \| 1951 row 6 : geoffrey brown \| liberal \| mcmillan \| vic \| 1949 row 7 : hon cyril chambers \| alp \| adelaide \| sa \| 1943 row 8 : joe clark \| alp \| darling \| nsw \| 1934 row 9 : fred daly \| alp \| grayndler \| nsw \| 1943 row 10 : billy davies \| alp \| cunningham \| nsw \| 1949 row 11 : jim eggins \| country \| lyne \| nsw \| 1949 row 12 : bill graham \| liberal \| st george \| nsw \| 1949 row 13 : bill grayden \| liberal \| swan \| wa \| 1949 row 14 : jo gullett \| liberal \| henty \| vic \| 1946 row 15 : jim harrison \| alp \| blaxland \| nsw \| 1949 row 16 : john howse \| liberal \| calare \| nsw \| 1946 row 17 : hon herbert johnson \| alp \| kalgoorlie \| wa \| 1940 row 18 : hugh leslie \| liberal \| moore \| wa \| 1949 row 19 : tony luchetti \| alp \| macquarie \| nsw \| 1951 row 20 : aubrey luck \| liberal \| darwin \| tas \| 1951 row 21 : philip lucock \| country \| lyne \| nsw \| 1953 row 22 : rt hon john mce \| country \| murray \| vic \| 1934 row 23 : john mcleay \| liberal \| boothby \| sa \| 1949 row 24 : hon william mcma \| liberal \| lowe \| nsw \| 1949 row 25 : william o'connor \| alp \| martin \| nsw \| 1946 row 26 : hubert opperman \| liberal \| corio \| vic \| 1949 row 27 : rt hon sir earle \| country \| cowper \| nsw \| 1919 row 28 : rupert ryan \| liberal \| flinders \| vic \| 1940 row 29 : winton turnbull \| country \| mallee \| vic \| 1946 row 30 : thomas white \| liberal \| balaclava \| vic \| 1929 ] Execute this SQL based on the above table: select state order by member desc limit 1	vic
[ header: date \| number \| type \| captain \| casualties \| sunk by row 1 : 4-may-43 \| u-209 \| viic \| heinrich brodda \| 46 \| catalina flying-boat of no. 5 row 2 : 5-may-43 \| u-638 \| viic \| oskar staudinger \| 44 \| hms sunflower row 3 : 5-may-43 \| u-531 \| ixc/40 \| herbert neckel \| 54 \| hms vidette row 4 : 6-may-43 \| u-192 \| ixc/40 \| werner happe \| 55 \| hms loosestrife row 5 : 6-may-43 \| u-125 \| ixc \| ulrich folkers \| 54 \| hms oribi, hm row 6 : 6-may-43 \| u-630 \| viic \| werner winkler \| 47 \| hms vidette row 7 : 6-may-43 \| u-438 \| viic \| heinrich hensohn \| 48 \| hms pelican ] Execute this SQL based on the above table: select abs ( ( select casualties where sunk by = 'hms oribi, hms snowflake' and sunk by = 'hms oribi, hms snowflake' ) - ( select casualties where sunk by = 'hms pelican' ) )	6.0
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : runner-up \| 1 \| 1975 \| bastad, sweden \| clay \| manuel orantes \| 0-6, 3-6 row 2 : runner-up \| 2 \| 1976 \| sao paulo, brazi \| carpet \| guillermo vilas \| 3-6, 0-6 row 3 : winner \| 1 \| 1976 \| santiago, chile \| clay \| carlos kirmayr \| 5-7, 6-4, 6-4 row 4 : winner \| 2 \| 1977 \| murcia, spain \| clay \| buster mottram \| 6-4, 6-0, 6-3 row 5 : runner-up \| 3 \| 1977 \| bogota, colombia \| clay \| guillermo vilas \| 1-6, 2-6, 3-6 row 6 : winner \| 3 \| 1978 \| cairo, egyp \| clay \| kjell johansson \| 4-6, 6-4, 6-4 row 7 : runner-up \| 4 \| 1978 \| indianapolis, u.s \| clay \| jimmy connors \| 0-6, 3-6 row 8 : winner \| 5 \| 1978 \| bournemouth, england \| clay \| paolo bertolucci \| 6-2, 6-1, 6-3 row 9 : winner \| 6 \| 1978 \| madrid, spain \| clay \| tomas smid \| 6-7, 6-3, 6-3, row 10 : winner \| 7 \| 1979 \| houston, u.s \| clay \| gene mayer \| 6-3, 2-6, 7-6 row 11 : runner-up \| 5 \| 1979 \| north conway, u.s \| clay \| harold solomon \| 7-5, 4-6, 6-7 row 12 : winner \| 9 \| 1979 \| boston, u.s \| clay \| hans gildemeister \| 6-3, 6-1 row 13 : runner-up \| 6 \| 1979 \| quito, ecuador \| clay \| victor pecci \| 6-2, 4-6, 2-6 row 14 : runner-up \| 7 \| 1979 \| santiago, chile \| clay \| hans gildemeister \| 5-7, 7-5, 4-6 row 15 : runner-up \| 8 \| 1981 \| vina del mar, chile \| clay \| victor pecci \| 4-6, 0-6 row 16 : runner-up \| 9 \| 1982 \| linz, austria \| clay \| anders jarryd \| 4-6, 6-4, 4-6 row 17 : runner-up \| 10 \| 1982 \| north conway, u.s \| clay \| ivan lendl \| 3-6, 2-6 row 18 : winner \| 11 \| 1982 \| indianapolis, u.s \| clay \| jimmy arias \| 7-5, 5-7, 6-3 row 19 : winner \| 12 \| 1983 \| la quinta, u.s \| hard \| eliot teltscher \| 6-4, 6-2 row 20 : winner \| 13 \| 1983 \| bournemouth, england \| clay \| tomas smid \| 2-6, 7-6, 7-5 row 21 : runner-up \| 11 \| 1983 \| hamburg, germany \| clay \| yannick noah \| 6-3, 5-7, 2-6, row 22 : runner-up \| 12 \| 1983 \| rome, italy \| clay \| jimmy arias \| 2-6, 7-6, 1-6, row 23 : winner \| 15 \| 1984 \| kitzbuhel, austria \| clay \| victor pecci \| 7-5, 3-6, 6-1 row 24 : winner \| 16 \| 1984 \| bordeaux, france \| clay \| francesco cancellotti \| 7-5, 6-1 ] Execute this SQL based on the above table: select no. order by no. desc limit 1	16
[ header: round \| pick \| player \| position \| school/club team row 1 : 1 \| 8 \| eric fraser \| s \| central michigan row 2 : 2 \| 16 \| tristan black \| lb \| wayne state row 3 : 3 \| 24 \| john hashem \| ot \| regina row 4 : 4 \| 28 \| spencer armstrong \| wr \| air force row 5 : 4 \| 30 \| steve myddelton \| de \| st. francis xa row 6 : 4 \| 32 \| scott mchenry \| sb \| saskatchewan row 7 : 5 \| 40 \| osie ukwuoma \| dl \| queen's row 8 : 6 \| 48 \| john kanaroski \| wr \| regina ] Execute this SQL based on the above table: select school/club team where position = 'dl'	queen's
[ header: institution \| location \| nickname \| founded \| type \| enrollment \| joined row 1 : aib college of business \| des moines, iowa \| eagles \| 1921 \| private \| 1000 \| 2010 row 2 : clarke university \| dubuque, iowa \| crusaders \| 1843 \| private/roman catholic \| 1230 \| 19881 row 3 : grand view university \| des moines, iowa \| vikings \| 1896 \| private/lutheran (elca \| 1750 \| 1989 row 4 : mount mercy university \| cedar rapids, iowa \| mustangs \| 1928 \| private/roman catholic \| 1490 \| 1988 row 5 : saint ambrose university \| davenport, iowa \| fighting bees (men's) queen \| 1882 \| private/roman catholic \| 3623 \| 1990 row 6 : viterbo university \| la crosse, wisconsin \| v-hawks \| 1923 \| private/roman catholic \| 2991 \| 1988 row 7 : william penn university \| oskaloosa, iowa \| statesmen (men's) lady statesmen \| 1873 \| private/quaker \| 1550 \| 2001 ] Execute this SQL based on the above table: select enrollment where nickname = 'v-hawks'	2991
[ header: year \| competition \| venue \| position \| notes row 1 : 1994 \| commonwealth games \| victoria, canada \| 6th \| 400 m h row 2 : 1995 \| world championships \| gothenburg, sweden \| 6th \| 400 m h row 3 : 1997 \| world championships \| athens, greece \| 7th \| 4x400 m relay row 4 : 1998 \| commonwealth games \| kuala lumpur, malaysi \| 3rd \| 400 m h row 5 : 1998 \| african championships \| dakar, senegal \| 2nd \| 400 m h row 6 : 1999 \| all-africa games \| johannesburg, south africa \| 2nd \| 400 m h ] Execute this SQL based on the above table: select venue where position = '7th'	athens, greece
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| puerto rico \| 17 \| 27 \| 13 \| 57 row 2 : 2 \| bahamas \| 17 \| 15 \| 19 \| 51 row 3 : 3 \| mexico \| 9 \| 9 \| 5 \| 23 row 4 : 4 \| jamaica \| 8 \| 6 \| 4 \| 18 row 5 : 5 \| barbados \| 7 \| 3 \| 6 \| 16 row 6 : 6 \| trinidad and tobago \| 7 \| 2 \| 2 \| 11 row 7 : 7 \| venezuela \| 3 \| 3 \| 8 \| 14 row 8 : 8 \| colombia \| 3 \| 1 \| 2 \| 6 row 9 : 9 \| u.s. virgin islands \| 1 \| 1 \| 3 \| 5 row 10 : 10 \| martinique \| 1 \| 1 \| 0 \| 2 row 11 : 11 \| antigua and barbuda \| 1 \| 0 \| 1 \| 2 row 12 : 12 \| suriname \| 1 \| 0 \| 0 \| 1 row 13 : 13 \| bermuda \| 0 \| 4 \| 2 \| 6 row 14 : 14 \| dominican republic \| 0 \| 2 \| 4 \| 6 row 15 : 15 \| panama \| 0 \| 1 \| 2 \| 3 row 16 : 16 \| cayman islands \| 0 \| 0 \| 2 \| 2 row 17 : 16 \| saint kitts and nevis \| 0 \| 0 \| 2 \| 2 ] Execute this SQL based on the above table: select nation where bronze <= 2	trinidad and tobago, colombia, martinique, antigua and barbuda, suriname, bermuda, panama, cayman islands, saint kitts and nevis
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select county where enrollment (2010-11 & 2011-12) > 314 order by enrollment (2010-11 & 2011-12) asc limit 1	nodaway
[ header: battle \| location \| date(s) \| engagement remarks \| victor row 1 : battle of gonzales \| gonzales \| october 2, 1835 \| this battle resulted in the first casualties \| t row 2 : battle of goliad \| goliad \| october 10, 1835 \| texians captured presidio la bah \| t row 3 : battle of concepcion \| san antonio de be \| october 28, 1835 \| in the last offensive ordered by general martin \| t row 4 : grass fight \| san antonio de be \| november 26, 1835 \| texans attack a large mexi \| t row 5 : battle of san patricio \| san patricio \| february 27, 1836 \| this was the first battle of the goli \| m row 6 : battle of the alamo \| san antonio de be \| february 23 - march 6, 1836 \| mexican president antonio \| m row 7 : battle of refugio \| refugio \| march 14, 1836 \| third battle of the goliad campaign \| m ] Execute this SQL based on the above table: select count ( * ) where victor = 'this was the first battle of the goliad campaign. the johnson-grant venture, the first battle of the texas revolution in which the mexican army was the victor. from the johnson forces, 20 texans killed, 32 captured and 1 mexican loss, 4 wounded. johnson and 4 others escaped after capture and proceeded to goliad. johnson would survive the texas revolution'	0
[ header: year \| species \| height \| location grown \| state \| notes row 1 : 2006 \| pacific silver fir \| 65 feet (20 m) \| olympic national forest \| washington \| the tree was lit by dennis hastert row 2 : 2005 \| engelmann spruce \| 65 feet (20 m) \| santa fe national forest \| new mexico \| the tree was lit by dennis hastert row 3 : 2004 \| red spruce \| 65 feet (20 m) \| george washington and jefferson national \| virginia \| the tree was lit by dennis hastert row 4 : 2001 \| white spruce \| 72 feet (22 m) \| ottawa national forest \| michigan \| known as "the tree of hope," the tree row 5 : 1995 \| douglas fir \| 60 feet (18 m) \| plumas national forest \| california \| None row 6 : 1987 \| norway spruce \| 60 feet (18 m) \| wayne national forest \| ohio \| None row 7 : 1983 \| white spruce \| 52 feet (16 m) \| chequamegon national forest \| wisconsin \| None row 8 : 1982 \| balsam fir \| 50 feet (15 m) \| riley bostwich wildlife management \| vermont \| None row 9 : 1980 \| white spruce \| 48 feet (15 m) \| green mountain national forest \| vermont \| None row 10 : 1975 \| balsam fir \| 41 feet (12 m) \| ottawa national forest \| michigan \| None row 11 : 1972 \| balsam fir \| 50 feet (15 m) \| tennessee national forest \| pennsylvania \| None row 12 : 1968 \| white pine \| 30 feet (9.1 m) \| finksburg, maryland \| maryland \| made from two different trees ] Execute this SQL based on the above table: select species group by species order by count ( * ) desc limit 1	white spruce
[ header: week \| date \| opponent \| home/away \| result \| bye row 1 : 1 \| february 8 \| new orleans voodoo \| home \| l 42-34 \| 0 row 2 : 2 \| february 15 \| dallas desperados \| away \| l 51-47 \| 0 row 3 : 3 \| february 21 \| columbus destroyers \| home \| w 56-34 \| 0 row 4 : 4 \| february 29 \| tampa bay storm \| away \| l 40-37 \| 0 row 5 : 5 \| march 7 \| chicago rush \| home \| w 53-47 \| 0 row 6 : 6 \| march 13 \| columbus destroyers \| away \| l 43-41 \| 0 row 7 : 7 \| march 21 \| colorado crush \| home \| l 40-33 \| 0 row 8 : 8 \| march 28 \| austin wranglers \| away \| w 65-60 \| 0 row 9 : 9 \| april 4 \| dallas desperados \| home \| w 47-31 \| 0 row 10 : 10 \| None \| None \| week \| None \| 1 row 11 : 11 \| april 17 \| carolina cobras \| away \| l 63-59 \| 0 row 12 : 12 \| april 24 \| new york dragons \| home \| w 60-58 \| 0 row 13 : 13 \| may 1 \| colorado crush \| away \| l 58-40 \| 0 row 14 : 14 \| may 8 \| las vegas gladiators \| home \| l 63-35 \| 0 row 15 : 15 \| may 15 \| carolina cobras \| home \| l 46-43 \| 0 row 16 : 16 \| may 22 \| san jose sabercat \| away \| l 48-36 \| 0 row 17 : 17 \| may 30 \| new york dragons \| away \| l 69-54 \| 0 ] Execute this SQL based on the above table: select home/away where opponent = 'columbus destroyers'	home, away
[ header: school \| team name \| town \| county \| enrollment (2010-11 & 2011-12) \| primary mshsaa class* \| football class row 1 : benton high school \| (lady) cardinals \| st. joseph \| buchanan \| 846 \| 4 \| 4 row 2 : bishop leblond high school \| (lady) golden eagle \| st. joseph \| buchanan \| 314 \| 3 \| 2 row 3 : cameron high school \| (lady) dragons \| cameron \| clinton \| 503 \| 3 \| 3 row 4 : chillicothe high school (missouri) \| (lady) hornets \| chillicothe \| livingston \| 638 \| 4 \| 3 row 5 : lafayette high school \| fighting irish \| st. joseph \| buchanan \| 801 \| 4 \| 4 row 6 : maryville high school \| (lady) spoofhounds \| maryville \| nodaway \| 473 \| 3 \| 2 row 7 : savannah high school \| (lady) savages \| savannah \| andrew \| 743 \| 4 \| 4 row 8 : smithville high school \| (lady) warriors \| smithville \| clay \| 727 \| 4 \| 4 ] Execute this SQL based on the above table: select school where id = ( select id where school = 'lafayette high school' ) + 1	maryville high school
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select gf where home = '0-8'	150.0
[ header: year built \| works number \| wheel arr. \| gauge \| original owner \| name \| current location \| notes row 1 : 1882 \| 283 \| 0-4-0st \| 1 ft 10 3⁄4 in (5 \| penrhyn quarry \| charles \| penrhyn castle railway museum \| None row 2 : 1883 \| 316 \| 0-4-0st \| 2 ft \| penrhyn quarry \| gwynedd \| bressingham steam museum \| penrhyn port class row 3 : 1883 \| 317 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| penrhyn quarry \| lilian \| launceston steam railway \| penrhyn port class row 4 : 1889 \| 493 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| elidir \| llanberis lake railway \| previously named "red damsel" row 5 : 1890 \| 518 \| 2-2-0t \| (1000mm) \| s.v.t. 8 \| tortosa-la cava1 \| tortosa (catalonia, spa \| None row 6 : 1891 \| 554 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| cilgwyn quarry, then penr \| lilla \| ffestiniog railway \| None row 7 : 1894 \| 606 \| 0-4-0st \| 2 ft \| penrhyn quarry \| alan george \| teifi valley railway \| None row 8 : 1896 \| 652 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| groby granite, then dinorwic \| lady madcap \| welsh highland heritage railway \| originally named sextus row 9 : 1898 \| 680 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic quarry \| george b \| bala lake railway \| None row 10 : 1898 \| 684 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| jack \| armley mills industrial museum, leed \| None row 11 : 1899 \| 705 \| 0-4-0st \| 2 ft (610 mm) \| penrhyn quarry \| elin \| yaxham light railway \| previously at the lincolnshire coast row 12 : 1901 \| 763 \| 0-4-0st \| 1 ft 11 1⁄2 in (5 \| dorothea quarry \| dorothea \| launceston steam railway \| None row 13 : 1903 \| 823 \| 0-4-0st \| 2 ft \| dinorwic quarry \| irish mail \| west lancashire light railway \| None row 14 : 1909 \| 994 \| 0-4-0st \| 2 ft \| penrhyn quarry \| bill harvey \| bressingham steam museum \| previously george sholto row 15 : 1918 \| 1312 \| 4-6-0t \| 1 ft 11 1⁄2 in (5 \| british war department efo \| None \| pampas safari, gravatai \| [citation needed] row 16 : 1920 \| 1404 \| 0-4-0wt \| 18 in (457 mm) \| john knowles co \| gwen \| richard farmer current owner, northridge, \| None row 17 : 1922 \| 1429 \| 0-4-0st \| 2 ft (610 mm) \| dinorwic \| lady joan \| bredgar and wormshill light \| None row 18 : 1922 \| 1430 \| 0-4-0st \| 1 ft 11 3⁄4 in (6 \| dinorwic quarry \| dolbadarn \| llanberis lake railway \| None ] Execute this SQL based on the above table: select count ( original owner ) where works number is null	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 where conference in ( 'wikimania 2013' , 'wikimania 2005' ) and place = 'hong kong'	wikimania 2013
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select entrant where grid = 22	scirocco-powell (racing cars)
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select nationality order by time desc limit 1	australia
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| asian junior championships \| bandar seri begawan, brun \| 1st \| 110 m hurdles \| 14.05 row 2 : 2002 \| world junior championships \| kingston, jamaica \| 2nd \| 110 m hurdles \| 13.58 row 3 : 2002 \| asian games \| busan, south korea \| 4th \| 110 m hurdles \| 13.92 row 4 : 2003 \| world indoor championships \| birmingham, united kingdom \| 18th (h) \| 60 m hurdles \| 7.81 row 5 : 2003 \| world championships \| paris, france \| 6th \| 110 m hurdles \| 13.55 row 6 : 2003 \| asian championships \| manila, philippines \| 1st \| 110 m hurdles \| 13.5 row 7 : 2004 \| world indoor championships \| budapest, hungary \| 17th (h) \| 60 m hurdles \| 7.75 row 8 : 2004 \| olympic games \| athens, greece \| 33rd (h) \| 110 m hurdles \| 13.68 row 9 : 2005 \| world championships \| helsinki, finland \| 9th (sf) \| 110 m hurdles \| 13.44 row 10 : 2005 \| asian championships \| incheon, south korea \| 2nd \| 110 m hurdles \| 13.44 row 11 : 2006 \| world indoor championships \| moscow, russia \| 8th (sf) \| 60 m hurdles \| 7.63 row 12 : 2006 \| asian games \| doha, qatar \| 2nd \| 110 m hurdles \| 13.28 row 13 : 2007 \| world championships \| osaka, japan \| 5th \| 110 m hurdles \| 13.19 row 14 : 2008 \| world indoor championships \| valencia, spain \| 9th (sf) \| 60 m hurdles \| 7.65 row 15 : 2008 \| olympic games \| beijing, china \| 8th (sf) \| 110 m hurdles \| 13.42 row 16 : 2009 \| asian championships \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.67 row 17 : 2009 \| world championships \| berlin, germany \| 8th (sf) \| 110 m hurdles \| 13.42 row 18 : 2010 \| world indoor championships \| doha, qatar \| 16th (sf) \| 60 m hurdles \| 7.82 row 19 : 2010 \| asian games \| guangzhou, china \| 2nd \| 110 m hurdles \| 13.38 row 20 : 2011 \| asian championships \| kobe, japan \| 2nd \| 110 m hurdles \| 13.56 row 21 : 2011 \| world championships \| daegu, south korea \| 9th (sf) \| 110 m hurdles \| 13.57 row 22 : 2012 \| world indoor championships \| istanbul, turkey \| 24th (h) \| 60m hurdles \| 8.15 row 23 : 2012 \| olympic games \| london, united kingdom \| 37th (h) \| 110 m hurdles \| 13.78 ] Execute this SQL based on the above table: select abs ( ( select year where event = '60m hurdles' ) - ( select year where event = '60m hurdles' ) )	0
[ header: game \| date \| opponent \| location \| score \| ot \| attendance \| record row 1 : 1 \| january 6, 2006 \| philadelphia wings \| xcel energy center \| l 11-15 \| None \| 8024 \| 0-1 row 2 : 2 \| january 14, 2006 \| @ philadelphia wings \| wachovia center \| w 13-10 \| None \| 11874 \| 1-1 row 3 : 3 \| january 20, 2006 \| @ calgary roughnecks \| pengrowth saddledome \| w 12-8 \| None \| 10637 \| 2-1 row 4 : 4 \| january 21, 2006 \| rochester knighthawks \| xcel energy center \| l 6-12 \| None \| 7124 \| 2-2 row 5 : 5 \| january 29, 2006 \| rochester knighthawks \| xcel energy center \| l 9-10 \| None \| 7544 \| 3-2 row 6 : 6 \| february 3, 2006 \| @ edmonton rush \| rexall place \| w 7-6 \| None \| 8745 \| 3-3 row 7 : 7 \| february 10, 2006 \| philadelphia wings \| xcel energy center \| w 11-10 \| None \| 7524 \| 4-3 row 8 : 8 \| february 18, 2006 \| @ buffalo bandits \| hsbc arena \| l 9-14 \| None \| 12458 \| 4-4 row 9 : 9 \| march 3, 2006 \| @ toronto rock \| air canada centre \| l 8-13 \| None \| 15830 \| 4-5 row 10 : 10 \| march 4, 2006 \| @ buffalo bandits \| hsbc arena \| w 11-8 \| None \| 10961 \| 5-5 row 11 : 11 \| march 17, 2006 \| @ portland lumberjax \| rose garden \| w 14-12 \| None \| 5487 \| 6-5 row 12 : 12 \| march 24, 2006 \| buffalo bandits \| xcel energy center \| l 11-13 \| None \| 9533 \| 6-6 row 13 : 13 \| april 1, 2006 \| toronto rock \| xcel energy center \| w 10-9 \| None \| 10084 \| 7-6 row 14 : 14 \| april 8, 2006 \| @ rochester knighthawks \| blue cross arena \| l 9-10 \| None \| 10352 \| 7-7 row 15 : 15 \| april 9, 2006 \| san jose stealth \| xcel energy center \| w 9-8 \| ot \| 7044 \| 8-7 row 16 : 16 \| april 15, 2006 \| portland lumberjax \| xcel energy center \| l 8-13 \| None \| 10104 \| 8-8 ] Execute this SQL based on the above table: select location order by attendance desc limit 1	air canada centre
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( * ) where record = '3-4-2'	1
[ header: rank \| name \| nationality \| time (hand) \| notes row 1 : 1 \| tommy green \| great britain \| 4:50:10 \| or row 2 : 2 \| janis dalins \| latvia \| 4:57:20 \| None row 3 : 3 \| ugo frigerio \| italy \| 4:59:06 \| None row 4 : 4 \| karl hahnel \| germany \| 5:06:06 \| None row 5 : 5 \| ettore rivolta \| italy \| 5:07:39 \| None row 6 : 6 \| paul sievert \| germany \| 5:16:41 \| None row 7 : 7 \| henri quintric \| france \| 5:27:25 \| None row 8 : 8 \| ernie crosbie \| united states \| 5:28:02 \| None row 9 : 9 \| bill chisholm \| united states \| 5:51:00 \| None row 10 : 10 \| alfred maasik \| estonia \| 6:19:00 \| None row 11 : None \| henry cieman \| canada \| None \| dnf row 12 : None \| john moralis \| greece \| None \| dnf row 13 : None \| francesco pretti \| italy \| None \| dnf row 14 : None \| arthur tell schwab \| switzerland \| None \| dnf row 15 : None \| harry hinkel \| united states \| None \| dnf ] Execute this SQL based on the above table: select count ( notes )	6
[ header: year \| title \| role \| notes row 1 : 1995 \| polio water \| diane \| short film row 2 : 1996 \| new york crossing \| drummond \| television film row 3 : 1997 \| lawn dogs \| devon stockard \| None row 4 : 1999 \| pups \| rocky \| None row 5 : 1999 \| notting hill \| 12-year-old actress \| None row 6 : 1999 \| the sixth sense \| kyra collins \| None row 7 : 2000 \| paranoid \| theresa \| None row 8 : 2000 \| skipped parts \| maurey pierce \| None row 9 : 2000 \| frankie & hazel \| francesca 'frankie' \| television film row 10 : 2001 \| lost and delirious \| mary 'mouse' bedford \| None row 11 : 2001 \| julie johnson \| lisa johnson \| None row 12 : 2001 \| tart \| grace bailey \| None row 13 : 2002 \| a ring of endless light \| vicky austin \| television film row 14 : 2003 \| octane \| natasha 'nat' \| None row 15 : 2006 \| the oh in ohio \| kristen taylor \| None row 16 : 2007 \| closing the ring \| young ethel ann \| None row 17 : 2007 \| st trinian's \| jj french \| None row 18 : 2007 \| virgin territory \| pampinea \| None row 19 : 2008 \| assassination of a high school \| francesca fachini \| None row 20 : 2009 \| walled in \| sam walczak \| None row 21 : 2009 \| homecoming \| shelby mercer \| None row 22 : 2010 \| don't fade away \| kat \| None row 23 : 2011 \| you and i \| lana \| None row 24 : 2012 \| into the dark \| sophia monet \| None row 25 : 2012 \| ben banks \| amy \| None row 26 : 2012 \| apartment 1303 3d \| lara slate \| None row 27 : 2012 \| cyberstalker \| aiden ashley \| television film row 28 : 2013 \| bhopal: a prayer for rain \| eva gascon \| None row 29 : 2013 \| a resurrection \| jessie \| also producer row 30 : 2013 \| l.a. slasher \| the actress \| None row 31 : 2013 \| gutsy frog \| ms. monica \| television film ] Execute this SQL based on the above table: select title where id = 1	polio water
[ header: fence \| name \| jockey \| age \| handicap (st-lb) \| starting price \| fate row 1 : 22 \| what a myth \| paul kelleway \| 9 \| 11-4 \| 11/2 \| fell row 2 : 3 \| rough tweed \| pat buckley \| 12 \| 10-7 \| 22/1 \| fell row 3 : None \| kapeno \| david mould \| 9 \| 10-6 \| 100/7 \| fell row 4 : 6 \| packed home \| tommy carberry \| 11 \| 10-3 \| 33/1 \| fell row 5 : 22 \| greek scholar \| michael scudamore \| 7 \| 10-4 \| 50/1 \| fell row 6 : None \| brown diamond \| frank shortt \| 11 \| 10-0 \| 100/1 \| fell row 7 : 6 \| popham down \| willie robinson \| 9 \| 10-0 \| 22/1 \| fell row 8 : None \| pontin-go \| tm jones \| 14 \| 10-0 \| 100/1 \| fell row 9 : 15 \| game purston \| paddy cowley \| 8 \| 10-0 \| 100/1 \| fell row 10 : 22 \| supersweet \| mr d crossley-cook \| 9 \| 10-6 \| 100/1 \| fell row 11 : None \| major hitch \| paddy broderick \| 8 \| 10-1 \| 50/1 \| fell row 12 : 15 \| irish day \| jimmy magee \| 10 \| 10-0 \| 40/1 \| fell row 13 : None \| scottish final \| j gamble \| 9 \| 10-0 \| 100/1 \| fell row 14 : None \| flamecap \| f carroll \| 9 \| 10-0 \| 100/1 \| fell row 15 : 15 \| black spot \| jeremy speid-soo \| 9 \| 10-0 \| 100/1 \| fell row 16 : None \| harry black \| r court \| 9 \| 10-0 \| 100/1 \| fell row 17 : None \| flying wild \| pat taaffe \| 10 \| 11-0 \| 20/1 \| pulled up row 18 : None \| stirling \| hr beasley \| 10 \| 10-11 \| 28/1 \| pulled up row 19 : None \| vultrix \| stan mellor \| 8 \| 10-7 \| 100/7 \| pulled up row 20 : None \| solimyth \| mr john lawrence \| 10 \| 10-1 \| 100/1 \| pulled up row 21 : None \| april rose \| major piers bengough \| 11 \| 10-7 \| 100/1 \| pulled up row 22 : None \| l'empereur \| beltran osorio \| 12 \| 10-2 \| 100/1 \| pulled up row 23 : 14 \| willow king \| liam mcloughlin \| 11 \| 10-0 \| 100/1 \| pulled up row 24 : None \| royal ryse \| t hyde \| 8 \| 10-0 \| 100/1 \| pulled up row 25 : None \| mac's flare \| r langley \| 10 \| 10-0 \| 100/1 \| pulled up row 26 : None \| king pin \| mr tim durant \| 10 \| 10-11 \| 100/1 \| pulled up row 27 : None \| in haste \| j leech \| 8 \| 10-3 \| 100/1 \| pulled up row 28 : None \| my gift \| a redmond \| 10 \| 10-0 \| 100/1 \| pulled up row 29 : None \| bold biri \| j lehane \| 10 \| 10-0 \| 100/1 \| pulled up row 30 : 22 \| valouis \| e prendergast \| 7 \| 10-0 \| 50/1 \| brought down row 31 : 22 \| leslie \| mr jm opperman \| 10 \| 10-5 \| 100/1 \| brought down row 32 : None \| dorimont \| mr w shand-ky \| 12 \| 10-0 \| 50/1 \| unseated rider row 33 : 15 \| fujino-o \| jeff king \| 7 \| 12-0 \| 100/1 \| refused row 34 : None \| monarch's thought \| g cramp \| 12 \| 10-0 \| 100/1 \| refused row 35 : 6 \| groomsman \| mr s roberts \| 11 \| 11-0 \| 100/1 \| refused ] Execute this SQL based on the above table: select handicap (st-lb) where handicap (st-lb) > ( select handicap (st-lb) where handicap (st-lb) = '10-0' ) order by handicap (st-lb) asc limit 1	10-1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| nigeria \| 14 \| 12 \| 9 \| 35 row 2 : 2 \| algeria \| 9 \| 4 \| 4 \| 17 row 3 : 3 \| kenya \| 8 \| 11 \| 4 \| 23 row 4 : 4 \| ethiopia \| 2 \| 4 \| 7 \| 13 row 5 : 5 \| ghana \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| ivory coast \| 2 \| 1 \| 3 \| 6 row 7 : 7 \| egypt \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| senegal \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| morocco \| 1 \| 1 \| 1 \| 3 row 10 : 10 \| tunisia \| 0 \| 3 \| 1 \| 4 row 11 : 11 \| madagascar \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| rwanda \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| zimbabwe \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| seychelles \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where silver < ( select silver where nation = 'tunisia' ) order by silver desc limit 1	ghana
[ header: season \| division \| tms. \| pos. \| fa cup \| afc cl row 1 : 2003 \| 1 \| 12 \| 11 \| quarter final \| row 2 : 2004 \| 1 \| 13 \| 10 \| round of 32 \| row 3 : 2005 \| 1 \| 13 \| 8 \| quarter final \| row 4 : 2006 \| 1 \| 14 \| 7 \| quarter final \| row 5 : 2007 \| 1 \| 14 \| 12 \| round of 16 \| row 6 : 2008 \| 1 \| 14 \| 11 \| semi final \| row 7 : 2009 \| 1 \| 15 \| 15 \| quarter-final \| row 8 : 2010 \| 1 \| 15 \| 15 \| round of 32 \| row 9 : 2011 \| 1 \| 16 \| 12 \| round of 32 \| row 10 : 2012 \| 1 \| 16 \| 10 \| round of 16 \| ] Execute this SQL based on the above table: select fa cup where pos. < ( select pos. where fa cup = 'round of 32' ) order by pos. desc limit 1	quarter final