Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'the hitmen'	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers pre-tops where numbers tops = 86419	e3120
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select count ( competition ) where event >= '1500 m'	0
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select award where category = 'outstanding supporting actress in a drama series' order by year limit 2006	23rd daytime emmy awards, 24th daytime emmy awards, 25th daytime emmy awards
[ 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 primary mshsaa class* = ( select primary mshsaa class* where county = 'nodaway' ) + 1	buchanan, livingston, buchanan, andrew, clay
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select ( select county seat where origin = 'surry county' ) < ( select county seat where origin = 'edgecombe county, johnston county, nash county, and wayne county' )	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select rank# order by attendance limit 1	#4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select count ( nation )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 9 \| 8 \| 6 \| 23 row 2 : 2 \| guatemala \| 6 \| 6 \| 6 \| 18 row 3 : 3 \| peru \| 5 \| 8 \| 9 \| 22 row 4 : 4 \| chile \| 4 \| 4 \| 1 \| 9 row 5 : 5 \| el salvador \| 4 \| 0 \| 2 \| 6 row 6 : 6 \| ecuador \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| bolivia \| 2 \| 1 \| 2 \| 5 row 8 : 8 \| dominican republic \| 1 \| 0 \| 2 \| 3 row 9 : 9 \| colombia \| 0 \| 1 \| 3 \| 4 row 10 : total \| total \| 33 \| 33 \| 32 \| 98 ] Execute this SQL based on the above table: select gold where nation = 'venezuela'	9.0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select club where goal difference = 1	cp merida, cd badajoz
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select bronze where nation = 'colombia' ) <= 1134	1
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select name of show group by name of show order by count ( episodes ) desc limit 1	the super trio show
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where pos. = 'dnf'	7
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select ( select total seats where governorate = 'al-muthanna' ) - ( select total seats where governorate = 'najaf' )	-2.0
[ header: # \| secretary of state \| prime minister \| tenure row 1 : 1 \| hector louis langevin \| macdonald \| july 1, 1867 - dec row 2 : 4 \| richard william scott \| mackenzie \| january 9, 1874 - row 3 : 6 \| john o'connor \| macdonald \| november 8, 1880 - may 19, row 4 : 9 \| james colebrooke patterson \| abbott \| january 25, 1892 - row 5 : None \| joseph alderic ouimet \| bowell \| december 21, 1895 - jan row 6 : 13 \| sir charles tupper \| bowell \| january 15, 1896 - row 7 : 15 \| charles murphy \| laurier \| october 9, 1908 - row 8 : 17 \| louis coderre \| borden \| october 29, 1912 - row 9 : 18 \| pierre edouard blondin \| borden \| october 6, 1915 - row 10 : 19 \| esioff leon patenau \| borden \| january 8, 1917 - jun row 11 : None \| albert sevigny (acting) \| borden \| june 13, 1917 - august 24, 1917 row 12 : 22 \| arthur lewis sifton \| borden \| december 31, 1919 - july row 13 : 22 \| arthur lewis sifton \| meighen \| july 10, 1920 - janu row 14 : 26 \| walter edward foster \| king \| september 26, 1925 - november 12, row 15 : 27 \| guillaume andre fauteux \| meighen \| august 23, 1926 - september 25, 19 row 16 : 28 \| fernand rinfret \| king \| september 25, 1926 - august 7, 1930 row 17 : 35 \| jack pickersgill \| st. laurent \| june 11, 1953 - june row 18 : 38 \| henri courtemanche \| diefenbaker \| may 12, 1958 - june 19, 1960 row 19 : None \| leon balcer (acting minister) \| diefenbaker \| june 21, 1960 - oc row 20 : 39 \| noel dorion \| diefenbaker \| october 11, 1960 - row 21 : 43 \| jean marchand \| trudeau \| april 20, 1968 - ju row 22 : 44 \| gerard pelletier \| trudeau \| july 5, 1968 - november row 23 : 45 \| james hugh faulk \| trudeau \| november 27, 1972 - september 13, row 24 : 46 \| john roberts \| trudeau \| september 14, 1976 - june 3, row 25 : 47 \| david macdonald \| clark \| june 4, 1979 - march 2, 1980 row 26 : 49 \| gerald regan \| trudeau \| september 22, 1981 - octo row 27 : 50 \| serge joyal \| turner \| june 30, 1984 - september 16, row 28 : 54 \| lucien bouchard \| mulroney \| march 31, 1988 - january 29, row 29 : 55 \| gerry weiner \| mulroney \| january 30, 1989 - a row 30 : 57 \| monique landry \| mulroney \| january 4, 1993 - jun ] Execute this SQL based on the above table: select secretary of state order by # desc limit 1	monique landry
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select count ( men's winner ) where time (h:m:s) = '1:14:38'	0
[ 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 count ( * ) where town = 1555	0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district order by altitude (m) limit 1	thrissur
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select constituency name where constituency name in ( 'jonai' , 'tinsukia' ) order by constituency number desc limit 1	tinsukia
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where position = 1144 and position = 612	0
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 1 \| may 27, 1956 \| dallas centennial open \| -12 (64-67-70-67 \| 1 stroke \| dow finsterwald, doug for row 2 : 2 \| feb 21, 1960 \| tucson open invitational \| -9 (67-67-68-69 \| 3 strokes \| bob harris row 3 : 3 \| jul 9, 1961 \| st. paul open invitational \| -19 (66-71-68-64=26 \| 1 stroke \| buster cupit row 4 : 4 \| feb 17, 1963 \| tucson open invitational \| -22 (65-67-69-65 \| 11 strokes \| gene littler, phil rodgers row 5 : 5 \| aug 28, 1966 \| philadelphia golf classic \| -10 (69-69-68-71 \| 1 stroke \| jack nicklaus row 6 : 6 \| jul 24, 1967 \| pga championship \| -7 (71-72-70-68 \| playoff \| don massengale row 7 : 7 \| apr 21, 1968 \| tournament of champions \| -8 (70-68-69-69 \| 1 stroke \| julius boros row 8 : 8 \| mar 23, 1970 \| greater jacksonville open \| -9 (68-75-70-66=27 \| playoff \| dale douglass row 9 : 9 \| oct 19, 1975 \| san antonio tex \| -13 (71-67-71-66 \| playoff \| larry hinson row 10 : 10 \| apr 18, 1976 \| mony tournament of champions \| -11 (71-68-69-69 \| 5 strokes \| hubert green ] Execute this SQL based on the above table: select tournament where date = 'oct 19, 1975'	san antonio texas open
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| new caledonia \| 120 \| 107 \| 61 \| 288 row 2 : 2 \| tahiti \| 60 \| 42 \| 42 \| 144 row 3 : 3 \| papua new guinea \| 48 \| 25 \| 48 \| 121 row 4 : 4 \| fiji \| 33 \| 44 \| 53 \| 130 row 5 : 5 \| samoa \| 22 \| 17 \| 34 \| 73 row 6 : 6 \| nauru \| 8 \| 10 \| 10 \| 28 row 7 : 7 \| tonga \| 4 \| 6 \| 10 \| 20 row 8 : 8 \| micronesia \| 3 \| 0 \| 0 \| 3 row 9 : 9 \| cook islands \| 2 \| 6 \| 4 \| 12 row 10 : 10 \| wallis and futuna \| 2 \| 3 \| 7 \| 12 row 11 : 11 \| vanuatu \| 1 \| 8 \| 8 \| 17 row 12 : 12 \| kiribati \| 1 \| 6 \| 6 \| 13 row 13 : 13 \| northern mariana islands \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| guam \| 0 \| 6 \| 5 \| 11 row 15 : 15 \| solomon islands \| 0 \| 5 \| 17 \| 22 row 16 : 16 \| niue \| 0 \| 3 \| 3 \| 6 row 17 : 17 \| tuvalu \| 0 \| 2 \| 1 \| 3 row 18 : 18 \| palau \| 0 \| 1 \| 3 \| 4 row 19 : 19 \| american samoa \| 0 \| 0 \| 0 \| 0 row 20 : 19 \| marshall islands \| 0 \| 0 \| 0 \| 0 row 21 : 19 \| norfolk island \| 0 \| 0 \| 0 \| 0 row 22 : 19 \| tokelau \| 0 \| 0 \| 0 \| 0 row 23 : total \| total \| 305 \| 291 \| 312 \| 908 ] Execute this SQL based on the above table: select nation where nation != 'niue' and bronze = ( select bronze where nation = 'niue' )	palau
[ 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 ( league ) where division > 4	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	september 26
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select notes where notes != '1258: partitioned into solms-braunfels and solms-burg-solms' and type = ( select type where notes = '1258: partitioned into solms-braunfels and solms-burg-solms' )	to saxe-eisenach to brandenburg-ansbach to prussia, partitioned from solms-wildenfels
[ header: team \| seasons \| games \| wins \| ties \| losses \| goals for \| goals against \| goal diff \| points row 1 : montreal canadiens \| 94 \| 6,120 \| 3,135 \| 837 \| 2,148 \| 19,929 \| 16,416 \| 3,513 \| 7,203 row 2 : boston bruins \| 87 \| 5,960 \| 2,856 \| 791 \| 2,313 \| 19,109 \| 17,459 \| 1,650 \| 6,609 row 3 : philadelphia flyers \| 44 \| 3,506 \| 1,756 \| 457 \| 1,293 \| 11,783 \| 10,270 \| 1,513 \| 4,060 row 4 : buffalo sabres \| 41 \| 3,280 \| 1,569 \| 409 \| 1,302 \| 10,868 \| 9,875 \| 993 \| 3,630 row 5 : los angeles kings \| 44 \| 3,506 \| 1,428 \| 424 \| 1,654 \| 11,306 \| 12,016 \| -710 \| 3,373 row 6 : vancouver canucks \| 41 \| 3,280 \| 1,353 \| 391 \| 1,536 \| 10,378 \| 1,1024 \| -646 \| 3,179 row 7 : washington capitals \| 37 \| 2,968 \| 1,305 \| 303 \| 1,360 \| 9,407 \| 9,739 \| -332 \| 3,004 row 8 : new jersey devils (kansas \| 37 \| 2,968 \| 1,260 \| 328 \| 1380 \| 8,931 \| 9,590 \| -659 \| 2,915 row 9 : colorado avalanche (que \| 32 \| 2,568 \| 1,174 \| 261 \| 1,133 \| 8,564 \| 8,417 \| 147 \| 2,681 row 10 : phoenix coyotes (win \| 32 \| 2,568 \| 1,063 \| 266 \| 1,239 \| 8,058 \| 8,809 \| -756 \| 2,473 row 11 : carolina hurricanes (hartford whaler \| 32 \| 2,568 \| 1,049 \| 263 \| 1,256 \| 7,808 \| 8,599 \| -791 \| 2,447 row 12 : san jose sharks \| 20 \| 1,608 \| 721 \| 121 \| 766 \| 4,553 \| 4,744 \| -191 \| 1,657 row 13 : ottawa senators \| 19 \| 1,528 \| 679 \| 115 \| 734 \| 4,401 \| 4,506 \| -105 \| 1,556 row 14 : anaheim ducks \| 18 \| 1,444 \| 638 \| 107 \| 699 \| 3,863 \| 4,021 \| -158 \| 1,477 row 15 : tampa bay lightning \| 19 \| 1,528 \| 588 \| 112 \| 828 \| 4,058 \| 4,842 \| -784 \| 1,384 row 16 : minnesota wild \| 11 \| 902 \| 405 \| 55 \| 442 \| 2,259 \| 2,338 \| -79 \| 945 row 17 : winnipeg jets (atlant \| 12 \| 984 \| 379 \| 45 \| 550 \| 2,690 \| 3,260 \| -570 \| 891 row 18 : new york americans (1925-1941) \| 17 \| 784 \| 255 \| 127 \| 402 \| 1,643 \| 2,182 \| -539 \| 637 row 19 : montreal maroons \| 14 \| 622 \| 271 \| 91 \| 260 \| 1,474 \| 1,405 \| 69 \| 633 row 20 : quebec bulldogs (1919-1920 \| 6 \| 150 \| 51 \| 1 \| 98 \| 505 \| 652 \| -147 \| 103 row 21 : montreal wanderers \| 1 \| 6 \| 1 \| 0 \| 5 \| 17 \| 35 \| -18 \| 2 ] Execute this SQL based on the above table: select ( select losses where team = 'tampa bay lightning' ) - ( select losses where team = 'los angeles kings' )	-826.0
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select count ( company (country) ) where company (country) = 769	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select count ( origin ) where no. < 7	6
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select abs ( ( select count ( * ) where title = 'the jolly postman' ) - ( select count ( * ) where title = 'voices in the park' ) )	0
[ header: date \| opponent \| home/away \| field \| result row 1 : june 2 \| lizards \| away \| hofstra stadium \| l 8-21 row 2 : june 7 \| pride \| away \| commerce bank ballpark \| l 7-12 row 3 : june 15 \| cannons \| home \| the ballpark at harbor yard \| l 18-19 ot row 4 : june 21 \| bayhawks \| home \| dunning field \| l 7-15 row 5 : june 22 \| bayhawks \| away \| ravens stadium \| w 15-12 row 6 : june 28 \| lizards \| home \| the ballpark at harbor yard \| l 20-21 ot row 7 : july 6 \| pride \| home \| the ballpark at harbor yard \| l 16-17 ot row 8 : july 12 \| rattlers \| away \| frontier field \| l 5-15 row 9 : july 18 \| cannons \| away \| cawley memorial stadium \| l 13-22 row 10 : july 25 \| rattlers \| home \| the ballpark at harbor yard \| l 12-16 row 11 : july 27 \| cannons \| away \| cawley memorial stadium \| w 19-17 row 12 : july 31 \| lizards \| home \| the ballpark at harbor yard \| w 15-13 row 13 : august 9 \| cannons \| home \| the ballpark at harbor yard \| l 15-17 row 14 : august 17 \| lizards \| away \| hofstra stadium \| l 11-18 ] Execute this SQL based on the above table: select result where result != 'w 15-13' and opponent = ( select opponent where result = 'w 15-13' )	l 8-21, l 20-21 ot, l 11-18
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : 1a \| 30 june \| leiden - st willebro \| plain stage \| 135 km (84 mi) \| jan raas (ne row 2 : 1b \| 30 june \| st willebrord - \| plain stage \| 100 km (62 mi) \| walter planckaert (bel row 3 : 2 \| 1 july \| brussel - st amand \| plain stage \| 199 km (124 mi) \| jacques esclassan (f row 4 : 3 \| 2 july \| st amand les eaux - \| plain stage \| 244 km (152 mi) \| klaus-peter thaler ( row 5 : 4 \| 3 july \| evreux - caen \| team time trial \| 153 km (95 mi) \| ti-raleigh row 6 : 5 \| 4 july \| caen - maze montgeoffroy \| plain stage \| 244 km (152 mi) \| freddy maertens (bel) row 7 : 6 \| 5 july \| maze montgeoffroy - poit \| plain stage \| 162 km (101 mi) \| sean kelly (ire) row 8 : 7 \| 6 july \| poitiers - bordeaux \| plain stage \| 242 km (150 mi) \| freddy maertens (bel) row 9 : 8 \| 7 july \| st emilion - \| individual time trial \| 59 km (37 mi) \| bernard hinault (fra row 10 : 9 \| 8 july \| bordeaux - biarritz \| plain stage \| 233 km (145 mi) \| miguel maria lasa (es row 11 : 14 \| 14 july \| besse en chandesse \| individual time trial \| 52 km (32 mi) \| joop zoetemel row 12 : 15 \| 15 july \| st dier d'auver \| hilly stage \| 196 km (122 mi) \| bernard hinault (fra row 13 : 17 \| 18 july \| grenoble - morzine \| stage with mountain(s) \| 225 km (140 mi) \| christian seznec row 14 : 19 \| 20 july \| lausanne - belfort \| plain stage \| 182 km (113 mi) \| marc demeyer (bel) row 15 : 20 \| 21 july \| metz - nancy \| individual time trial \| 72 km (45 mi) \| bernard hinault (fra row 16 : 22 \| 23 july \| st germain en laye \| plain stage \| 162 km (101 mi) \| gerrie knetemann (n ] Execute this SQL based on the above table: select terrain order by id desc limit 1	plain stage
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select density (inhabitants/km2) order by area (km2) desc limit 1	461.8
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians order by year asc limit 1	69.3%
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select role where show = 'kurkure desi beats rock on with mtv season 2'	anchor
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( party ) where party = 'republican'	1
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select % where rank = '2nd'	12.3, 31.5, 29.6, 33.7, 24.4
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select origin where origin in ( 'mangalore central' , 'mangalore central' ) and no. > 2	mangalore central, mangalore central, mangalore central, mangalore central, mangalore central, mangalore central
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select chassis order by pos desc limit 1	porsche 911 carrera rs
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select nationality order by round desc limit 1	united states
[ header: week \| start date \| type \| tournament \| surface \| town \| country \| continent \| prize money row 1 : 35 \| october 24 \| premier wta tour championships \| sony ericsson championships \| hard \| istanbul \| turkey \| europe \| $4,550,000 row 2 : 9 \| march 21 \| premier mandatory \| sony ericsson open \| hard \| key biscayne \| united states \| north america \| $4,500,000 row 3 : 32 \| october 3 \| premier mandatory \| china open \| hard \| beijing \| china \| asia \| $4,500,000 row 4 : 14 \| may 9 \| premier 5 \| internazionali bnl \| clay \| rome \| italy \| europe \| $2,000,000 row 5 : 26 \| august 15 \| premier 5 \| western & southern financial group women's open \| hard \| cincinnati \| united states \| north america \| $2,000,000 row 6 : 10 \| april 4 \| premier 700 \| family circle cup \| clay \| charleston \| united states \| north america \| $700,000 row 7 : 24 \| august 1 \| premier 700 \| mercury insurance open \| hard \| san diego \| united states \| north america \| $700,000 row 8 : 15 \| may 16 \| premier 600 \| brussels open \| clay \| brussels \| belgium \| europe \| $618,000 row 9 : 34 \| october 17 \| premier 600 \| kremlin cup \| hard (i) \| moscow \| russia \| europe \| $1,000,000 row 10 : 36 \| october 31 \| international wta tour championships \| commonwealth bank tournament of champions \| hard (i) \| sofia \| bulgaria \| europe \| $750,000 row 11 : 1 \| january 1 \| international \| shenzhen open \| hard \| shenzhen \| china \| asia \| $500,000 row 12 : 1 \| january 3 \| international \| brisbane international \| hard \| brisbane \| australia \| oceania \| $220,000 row 13 : 5 \| february 14 \| international \| xix copa bbva col \| clay \| bogota \| colombia \| south america \| $220,000 row 14 : 11 \| april 18 \| international \| grand prix de sar la princesse la \| clay \| fes \| morocco \| africa \| $220,000 row 15 : 12 \| april 25 \| international \| estoril open \| clay \| estoril \| portugal \| europe \| $220,000 row 16 : 17 \| june 6 \| international \| e-boks sony eric \| hard \| copenhagen \| denmark \| europe \| $220,000 row 17 : 21 \| july 11 \| international \| internazionali femmin \| clay \| palermo \| italy \| europe \| $220,000 row 18 : 30 \| september 19 \| international \| hansol korea open \| hard \| seoul \| south korea \| asia \| $220,000 row 19 : 33 \| october 10 \| international \| hp japan women's open tennis \| hard \| osaka \| japan \| asia \| $220,000 row 20 : 34 \| october 17 \| international \| bgl bnp pari \| hard (i) \| luxembourg \| luxembourg \| europe \| $220,000 ] Execute this SQL based on the above table: select tournament group by tournament order by count ( * ) desc limit 1	xix copa bbva colsanitas
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select max ( season )	2011
[ header: finished \| horse \| jockey \| trainer \| owner \| time / behind row 1 : 1st \| spokane \| tom kiley \| john rodegap \| noah armstrong \| 2:34.50 row 2 : 2nd \| proctor knott \| s. barnes \| None \| scoggan & bryant \| nose row 3 : 3rd \| once again \| isaac murphy \| None \| milton young \| 2 row 4 : 4th \| hindoocraft \| armstrong \| None \| scoggan bros \| 1 row 5 : 5th \| cassius \| f. taral \| None \| beverwyck stable \| 1 row 6 : 6th \| sportsman \| i. lewis \| None \| j.k. megibb \| 1/2 row 7 : 7th \| outbound \| hollis \| None \| fleetwood stable \| None row 8 : 8th \| bootmaker \| warwick \| None \| wilson & young \| None ] Execute this SQL based on the above table: select count ( distinct jockey ) where owner = 'beverwyck stable'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 10 \| 5 \| 1 \| 16 row 2 : 2 \| north korea \| 3 \| 3 \| 4 \| 10 row 3 : 3 \| japan \| 1 \| 3 \| 3 \| 7 row 4 : 4 \| chinese taipei \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| hong kong \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| south korea \| 0 \| 0 \| 3 \| 3 row 7 : 7 \| india \| 0 \| 0 \| 1 \| 1 row 8 : 7 \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 9 : 7 \| syria \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 15 \| 13 \| 15 \| 43 ] Execute this SQL based on the above table: select count ( * ) where nation = 754	0
[ header: dates \| location \| attendance \| official guests \| notes row 1 : august 3-5, 1973 \| pick-congress hotel \| None \| none \| known as nostalgia '73, 2nd annual row 2 : july 5-7, 1985 \| ramada o'hare \| None \| guest of honor: sergio aragones \| 10th anniversary chicago comicon row 3 : july 17-19, 1998 \| rosemont convention center \| 25000 \| guest of honor: todd mc \| None row 4 : august 5-7, 2005 \| rosemont convention center \| None \| None \| None row 5 : august 9-12, 2012 \| donald e. stephens convention \| None \| william shatner, jer \| None ] Execute this SQL based on the above table: select ( select attendance where location = 'rosemont convention center' ) - ( select attendance where location = 'rosemont convention center' )	0
[ header: \| 'be' \| 'remain' \| 'give' \| 'save' row 1 : 1st sg \| esmi \| liekmi \| duomi \| gelbmi row 2 : 2nd sg \| esi \| lieksi \| duosi \| gelbsi row 3 : 3rd sg \| est(i) \| liekt(i) \| duost(i) \| gelbt(i) row 4 : 1st dual \| esva \| liekva \| duova \| gelbva row 5 : 2nd dual \| esta \| liekta \| duosta \| gelbta row 6 : 1st pl \| esme \| liekme \| duome \| gelbme row 7 : 2nd pl \| este \| liekte \| duoste \| gelbte row 8 : 3rd pl \| esti \| liekt(i) \| duost(i) \| gelbt(i) ] Execute this SQL based on the above table: select count ( * ) where 'save' = 1124	0
[ header: # \| air date \| timeslot (est) \| season \| rating \| share \| 18-49 (rating/share) \| viewers (m) \| weekly rank (#) row 1 : 1 \| march 2, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 9.4 \| 14 \| 5.3/12 \| 15.55 \| 4 row 2 : 2 \| march 9, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.4 \| 11 \| 4.1/10 \| 11.83 \| 10 row 3 : 3 \| march 16, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6 \| 9 \| 3.6/9 \| 9.71 \| 18 row 4 : 4 \| march 23, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6.1 \| 10 \| 3.5/9 \| 9.92 \| 19 row 5 : 5 \| march 30, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.1 \| 11 \| 3.9/9 \| 11.35 \| 13 row 6 : 6 \| april 6, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 5.9 \| 9 \| 3.2/8 \| 9.42 \| 27 row 7 : 7 \| april 13, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 5.6 \| 9 \| 2.9/9 \| 8.88 \| 19 row 8 : 8 \| april 20, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 6.4 \| 10 \| 3.2/9 \| 10.03 \| None ] Execute this SQL based on the above table: select air date where id <= 1842	march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008, april 6, 2008, april 13, 2008, april 20, 2008
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select pos. where pos. = 'df'	df, df, df, df, df, df
[ header: rank \| bib \| name \| country \| run 1 \| rank \| run 2 \| rank \| total \| difference row 1 : None \| 10 \| andrea rothfuss \| germany \| 49.38 \| 1 \| 50.6 \| 1 \| 1:39.98 \| None row 2 : None \| 12 \| petra smarzova \| slovakia \| 52.5 \| 3 \| 51.22 \| 2 \| 1:43.72 \| 3.74 row 3 : None \| 11 \| karolina wisniew \| canada \| 52.17 \| 2 \| 53.36 \| 4 \| 1:45.53 \| 5.55 row 4 : 4 \| 15 \| melania corradini \| italy \| 54.72 \| 5 \| 52.95 \| 3 \| 1:47.67 \| 7.69 row 5 : 5 \| 13 \| solene jambaque \| france \| 53.95 \| 4 \| 54.68 \| 5 \| 1:48.63 \| 8.65 row 6 : 6 \| 18 \| mariya papulova \| russia \| 55.35 \| 6 \| 55.96 \| 7 \| 1:51.31 \| 11.33 row 7 : 7 \| 9 \| katja saarinen \| finland \| 56.45 \| 7 \| 55.07 \| 6 \| 1:51.52 \| 11.54 row 8 : 8 \| 14 \| anna jochemsen \| netherlands \| 1:00.09 \| 8 \| 57.21 \| 8 \| 1:57.30 \| 17.32 row 9 : 9 \| 17 \| elena kudyakova \| russia \| 1:00.65 \| 9 \| 1:00.21 \| 9 \| 2:00.86 \| 20.88 row 10 : None \| 16 \| ursula pueyo marimon \| spain \| dnf \| None \| None \| None \| None \| None row 11 : None \| 8 \| danja haslacher \| austria \| dns \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select rank order by total desc limit 1	9.0
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select count ( role ) where year = 2009	3
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select count ( * )	9
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver order by round desc limit 1	christiano citron
[ header: artist \| song \| soundtrack \| episode(s) \| notes row 1 : the 88 \| "hide another mistake" \| None \| 3.01 \| row 2 : alexi murdoch \| "all my days" \| None \| 4.03 \| row 3 : april march \| "garcon glacon" \| None \| 4.11 \| row 4 : athlete \| "tourist" \| None \| 2.12 \| row 5 : beulah \| "popular mechanics for lovers" \| mix 2 \| 1.15 \| row 6 : bloc party \| "i still remember" \| None \| 4.14 \| row 7 : the bravery \| "an honest mistake" \| None \| 2.24 \| row 8 : carmen rizzo (featuring \| "travel in time" \| None \| 3.07 \| row 9 : cham pain \| "show me" \| None \| 1.01 \| row 10 : clearlake \| "good clean fun" (nobody remix \| None \| 4.06 \| row 11 : cobra verde \| "get the party started" \| None \| 3.02 \| row 12 : cobra verde \| "waiting for a girl like you" \| None \| 3.17 \| row 13 : damien rice \| "cannonball" \| None \| 1.17 \| row 14 : death cab for cutie \| "a movie script ending" \| None \| 1.07, 2.20 \| row 15 : death cab for cutie \| "the sound of settling" \| None \| 2.2 \| row 16 : firstcom \| "hannukah lights" \| None \| 1.13 \| row 17 : firstcom \| "silent night" \| None \| 1.13, 3.10 \| row 18 : the go find \| "summer quest" \| None \| 2.11 \| row 19 : guster \| "keep it together" \| None \| 1.08 \| row 20 : ian broudie \| "song for no one" \| None \| 3.01 \| row 21 : imogen heap \| "hide and seek" \| mix 5 \| 2.24 \| row 22 : the invisible men \| "make it bounce" \| None \| 3.09 \| row 23 : james horner \| "sing, sing, sing, (with \| None \| 1.03 \| row 24 : jet \| "shine on" \| None \| 4.16 \| row 25 : jimmy eat world \| "last christmas" \| mix 3 \| None \| row 26 : journey \| "open arms" \| None \| 2.08 \| row 27 : juana molina \| "tres cosas" \| None \| 2.2 \| row 28 : the long winters \| "christmas with you is best" \| mix 3 \| None \| row 29 : love as laughter \| "dirty lives" \| None \| 2.23 \| row 30 : the m's \| "come into our room" (clinic \| mix 6 \| None \| row 31 : mastersource \| "something for you" \| None \| 1.21 \| row 32 : mastersource \| "walkin' the walk" \| None \| 1.21 \| row 33 : pennywise \| "knocked down" \| None \| 3.06 \| row 34 : the pogues \| "love you 'till the end \| None \| 4.04 \| row 35 : poster children \| "western springs" \| None \| 2.1 \| row 36 : ranchera all stars \| "pa todo el an \| None \| 4.04 \| row 37 : the shins \| "turn on me" \| None \| 4.1 \| row 38 : soledad brothers \| "cage that tiger" \| None \| 2.22 \| row 39 : youth group \| "start today tomorrow" \| None \| 4.13 \| ] Execute this SQL based on the above table: select count ( song ) where notes = ''	39
[ header: outcome \| no. \| date \| tournament \| surface \| opponent in the final \| score row 1 : runner-up \| 1 \| 2 september 2001 \| mostar \| clay \| adriana basaric \| 4-6, 3-6 row 2 : winner \| 1 \| 27 january 2002 \| courmayeur \| hard \| stefanie weis \| 4-6, 7-6(7-3), row 3 : winner \| 2 \| 17 february 2002 \| bergamo \| hard \| rita degli-esposti \| 6-1, 6-2 row 4 : runner-up \| 2 \| 31 march 2002 \| rome - parioli \| clay \| dinara safina \| 7-6(7-3), 2-6, row 5 : runner-up \| 3 \| 23 june 2002 \| gorizia \| clay \| ainhoa goni-blanco \| 6-7(4-7), 1-6 row 6 : runner-up \| 4 \| 11 august 2002 \| rimini \| clay \| laurence andretto \| 5-7, 4-6 row 7 : winner \| 3 \| 26 january 2003 \| grenoble \| hard \| sophie lefevre \| 7-5, 7-5 row 8 : winner \| 4 \| 16 february 2003 \| southampton \| hard \| magdalena zdenovcova \| 6-1, 3-0, ret row 9 : winner \| 5 \| 23 february 2003 \| redbridge \| hard \| olga barabanschikov \| 6-3, 6-2 row 10 : winner \| 6 \| 23 march 2003 \| castellon \| clay \| ludmila cervanova \| 6-3, 6-3 row 11 : winner \| 7 \| 2 november 2003 \| poitiers \| hard \| roberta vinci \| 6-4, 7-5 row 12 : winner \| 8 \| 1 march 2009 \| biberach \| hard \| kirsten flipkens \| 6-1, 6-2 row 13 : winner \| 9 \| 11 april 2009 \| torhout \| hard \| viktoriya kutuzova \| 6-1, 6-4 row 14 : winner \| 10 \| 11 april 2009 \| mestre \| hard \| yvonne meusburger \| 2-6, 6-2, 6-4 ] Execute this SQL based on the above table: select no. order by no. desc limit 1	10.0
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select count ( * ) where landline prefixes = 'None'	0
[ header: draw \| artist \| song \| jury \| televote \| total \| place row 1 : 1 \| kasia nova \| "the devil" \| 0 \| 1 \| 1 \| 11 row 2 : 2 \| edi ann \| "lovin'u" \| 7 \| 5 \| 12 \| 4 row 3 : 3 \| izabela kopec \| "you've got my love" \| 4 \| 6 \| 10 \| 6 row 4 : 4 \| starnawski & urban noiz \| "it's not a game" \| 5 \| 0 \| 5 \| 10 row 5 : 5 \| queens \| "i say my body" \| 0 \| 0 \| 0 \| 12 row 6 : 6 \| isis gee \| "for life" \| 12 \| 12 \| 24 \| 1 row 7 : 7 \| man meadow \| "viva la musica" \| 2 \| 10 \| 12 \| 3 row 8 : 8 \| afromental \| "thing we've got" \| 3 \| 4 \| 7 \| 9 row 9 : 9 \| plastic \| "do something" \| 10 \| 2 \| 12 \| 5 row 10 : 10 \| sandra oxenryd \| "superhero" \| 6 \| 3 \| 9 \| 8 row 11 : 11 \| natasza urbanska \| "blow over" \| 8 \| 7 \| 15 \| 2 row 12 : 12 \| margo \| "dlatego walcz" \| 1 \| 8 \| 9 \| 7 ] Execute this SQL based on the above table: select count ( song ) where song is null	0
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( symbol ) where 26th is null	6
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select count ( * ) where position = 'fw'	6
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place != '4th' and tier = ( select tier where place = '4th' )	16th, 5th, 12th, 6th, 3rd, 2nd
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select constructor where pos = 14 order by time/retired desc limit 1	force india-mercedes
[ header: year \| film \| language \| character \| co-star \| music \| banner row 1 : 1941 \| bhaktimala \| telugu \| radha \| None \| None \| bhaskar films row 2 : 1941 \| dharmapatni \| tamil \| None \| None \| None \| famous films row 3 : 1944 \| tahsildar \| telugu \| kamala \| None \| None \| None row 4 : 1946 \| gruhapravesam \| telugu \| janaki \| None \| None \| sarati films row 5 : 1947 \| ratnamala \| telugu \| ratnamala \| c. s. r. an \| c. r. subburaman \| bharani pictures row 6 : 1949 \| laila majnu \| telugu \| laila \| a. nageswara r \| c. r. subburaman \| bharani pictures row 7 : 1949 \| apoorva sagodhar \| tamil \| kanchana \| m. k. radha \| s. rajeswara \| gemini studios row 8 : 1951 \| malleeswari \| telugu \| malleeswari \| n. t. rama r \| adepalli rama r \| vijaya studios row 9 : 1951 \| mangala \| hindi \| mangala \| None \| None \| gemini studios row 10 : 1952 \| rani \| tamil \| None \| s. balachander \| c. r. subburaman \| jupiter pictures row 11 : 1952 \| rani \| hindi \| None \| anoop kumar \| c. r. subburaman \| jupiter pictures row 12 : 1953 \| chandirani \| hindi \| champa & chandi \| dilip kumar \| c. r. subburaman \| bharani pictures row 13 : 1957 \| makkalai petra magarasi \| tamil \| rangamma \| sivaji ganesan \| k. v. mahadevan \| sri lakshmi row 14 : 1961 \| batasari \| telugu \| madhavi \| a. nageswara r \| master venu \| bharani pictures row 15 : 1965 \| antastulu \| telugu \| None \| a. nageswara r \| k. v. mahadevan \| None row 16 : 1967 \| grihalakshmi \| telugu \| laxmi \| None \| None \| None row 17 : 1967 \| pattatthu rani \| tamil \| None \| gemini ganesan \| t. k. ramamoorth \| None row 18 : 1984 \| mangamma gari manavadu \| telugu \| mangamma \| None \| None \| None row 19 : 1988 \| attagaru swagatham \| telugu \| None \| None \| None \| None ] Execute this SQL based on the above table: select film order by year desc limit 1	attagaru swagatham
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select role where title < ( select title where role = 'buck mansfield' ) order by title desc limit 1	col. michael otley
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2004 \| 4 \| usl pdl \| 8th, mid south \| did not qualify \| did not qualify row 2 : 2005 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| did not qualify row 3 : 2006 \| 4 \| usl pdl \| 1st, mid south \| national final \| 1st round row 4 : 2007 \| 4 \| usl pdl \| 1st, mid south \| champions \| did not qualify row 5 : 2008 \| 4 \| usl pdl \| 2nd, mid south \| national final \| did not qualify row 6 : 2009 \| 4 \| usl pdl \| 1st, mid south \| conference finals \| did not qualify row 7 : 2010 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| did not qualify row 8 : 2011 \| 4 \| usl pdl \| 1st, mid south \| national final \| did not qualify row 9 : 2012 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| 2nd round row 10 : 2013 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| 2nd round ] Execute this SQL based on the above table: select regular season where open cup != '1st round'	8th, mid south, 2nd, mid south, 1st, mid south, 2nd, mid south, 1st, mid south, 1st, mid south, 1st, mid south, 1st, mid south, 2nd, mid south
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select winner where winner != 'draw' and bat = ( select bat where winner = 'draw' )	west indies, pakistan, india, australia, pakistan, india, india
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select party where votes > 731	australian labor party, liberal and country league, nationals sa, independent, other, total
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select south order by west limit 1465	tsv schliersee, eac bad reichenhall, sc gaißach, ehc munchen ii, sb rosenheim, tus geretsried ii, esc holzkirchen, sc riessersee ii, esc geretsried
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select notes where laps down < 245	q, q, q, q, q, q, q, q, q, q
[ header: team \| wins \| losses \| win % \| gb row 1 : detroit tigers \| 104 \| 58 \| .642 \| 0 row 2 : toronto blue jays \| 89 \| 73 \| .549 \| 15.0 row 3 : new york yankees \| 87 \| 75 \| .537 \| 17.0 row 4 : boston red sox \| 86 \| 76 \| .531 \| 18.0 row 5 : baltimore orioles \| 85 \| 77 \| .525 \| 19.0 row 6 : cleveland indians \| 75 \| 87 \| .463 \| 29.0 row 7 : milwaukee brewers \| 67 \| 94 \| .416 \| 36.5 ] Execute this SQL based on the above table: select gb where team = 'boston red sox' order by losses desc limit 1	18.0
[ header: state \| city/county \| population served \| charter type \| station name \| web site row 1 : mo \| cape girardeau; jackson \| None \| pg \| public access cable tv (cg99 \| http://www.cityofcapegirard row 2 : mo \| columbia \| 108500 \| e \| university of missouri tv (mut \| http://mutv.missouri.e row 3 : mo \| florissant \| None \| g \| florissant city tv \| http://tv.florissantmo row 4 : mo \| independence \| 116830 \| g \| independence city 7 \| http://www.ci.independence row 5 : mo \| jefferson city \| 40000 \| p \| jefferson city access tv 81 \| http://www.facebook.com/page row 6 : mo \| kansas city \| None \| g \| kansas city (kcc \| http://www.kcmo.org row 7 : mo \| lebanon \| None \| peg \| lebanon community access channel (jtv \| http://www.lebanon.k12. row 8 : mo \| liberty \| None \| pe \| liberty school district cable tv - channel \| http://www.liberty.k12. row 9 : mo \| rolla \| 19559 \| pg \| rolla - channel 16 \| http://www.rollachannel6.com row 10 : mo \| springfield \| None \| p \| springfield cable 25 \| http://mappingaccess.org/n row 11 : mo \| springfield \| None \| g \| springfield cityview \| http://www.springfieldmo.gov row 12 : mo \| st. joseph \| None \| e \| missouri western state university educational access - \| http://www.missouriwestern.e row 13 : mo \| st. louis \| 319294 \| e \| st. louis higher education channel ( \| http://www.hectv.org row 14 : mo \| st. louis \| 319294 \| e \| st. louis tv ( \| http://stltv.net row 15 : mo \| warrensburg \| None \| e \| university of central missouri - central \| http://www.ucmo.e ] Execute this SQL based on the above table: select count ( web site )	15
[ header: number \| south or west terminus \| north or east terminus \| length (mi) \| length (km) \| formed \| deleted \| notes row 1 : sr-25 \| sr-24 at fish lake junction \| bowery haven resort (fish lake) \| 9.995 \| 16.085 \| 1930s \| current \| None row 2 : us-40 \| i-80 near park city \| colorado state line near dinosaur, color \| 174.624 \| 281.03 \| 1977 \| current \| None row 3 : sr-47 \| arizona state line in monument valley \| monticello \| None \| None \| 1930s \| 1977 \| now us-163 and part of us-191 row 4 : sr-63 \| None \| None \| None \| None \| 1930s \| 1971 \| None row 5 : i-70 \| i-15 near cove fort \| colorado state line near fruita, \| 231.673 \| 372.842 \| 1977 \| current \| None row 6 : sr-70 \| nevada state route 30 at the \| us-30s near snowville \| None \| None \| 1930s \| 1977 \| now part of sr-30 row 7 : sr-92 \| i-15 in lehi \| us-189 in provo canyon \| 27.272 \| 43.89 \| 1977 \| current \| renumbered from sr-80 row 8 : sr-106 \| i-15 west of bountiful \| us-89 in farmington \| 9.426 \| 15.17 \| 1930s \| current \| None row 9 : sr-126 \| i-15 south of layton \| us-89 at hot springs junction near pleasant \| 21.609 \| 34.776 \| 1977 \| current \| None row 10 : sr-140 \| hinckley \| deseret \| None \| None \| 1930s \| 1969 \| None row 11 : sr-143 \| i-15 west of parowan \| us-89 in panguitch \| 51.206 \| 82.408 \| 1930s \| current \| None row 12 : sr-212 \| i-15 near washington \| washington \| 1.289 \| 2.074 \| 1941 \| current \| None row 13 : sr-215 \| None \| None \| None \| None \| 1957 \| 1959 \| None row 14 : sr-230 \| None \| None \| None \| None \| 1941 \| 1969 \| None row 15 : sr-234 \| None \| None \| None \| None \| 1941 \| 1968 \| None row 16 : sr-256 \| None \| None \| None \| None \| 1955 \| 1969 \| None row 17 : sr-260 \| None \| None \| None \| None \| 1957 \| 1981 \| None row 18 : sr-280 \| i-80 south of coalville \| coalville \| 0.399 \| 0.642 \| 1963 \| current \| None row 19 : sr-311 \| us-40 \| starvation state park \| 3.916 \| 6.302 \| 1972 \| current \| None row 20 : sr-317 \| south 2700 west in west valley city \| calvin l. rampton complex \| 1.62 \| 2.607 \| 1983 \| current \| None ] Execute this SQL based on the above table: select ( select length (mi) where formed = 1977 ) > ( select length (mi) where formed = 1977 )	0
[ header: no. \| country \| 2009 winter universiade \| 2007 wjcc \| 2007 wwcc \| 2008 wjcc \| 2008 wwcc \| points row 1 : 1 \| canada \| 24 \| 12 \| 9 \| 12 \| 10 \| 67 row 2 : 2 \| china \| 28 \| None \| 14 \| 4 \| 6 \| 52 row 3 : 3 \| sweden \| 10 \| 5 \| 12 \| 14 \| 9 \| 50 row 4 : 4 \| great britain \| 16 \| 14 \| 5 \| 1 \| 12 \| 48 row 5 : 5 \| russia \| 20 \| 8 \| 6 \| 6 \| 5 \| 45 row 6 : 6 \| united states \| 4 \| 6 \| 4 \| 10 \| 8 \| 32 row 7 : 7 \| switzerland \| None \| 10 \| 8 \| 8 \| 3 \| 29 row 8 : 8 \| germany \| None \| None \| 7 \| 2 \| 14 \| 23 row 9 : 9 \| denmark \| None \| 3 \| 10 \| None \| 7 \| 20 row 10 : 10 \| czech republic \| 12 \| 4 \| None \| 3 \| None \| 19 row 11 : 11 \| south korea \| 8 \| None \| 3 \| None \| None \| 11 row 12 : 12 \| japan \| 6 \| 1 \| None \| None \| 2 \| 9 row 13 : 13 \| france \| None \| 2 \| None \| 5 \| None \| 7 row 14 : 14 \| norway \| None \| None \| 2 \| None \| 4 \| 6 row 15 : 15 \| poland \| 2 \| None \| None \| None \| None \| 2 row 16 : 16 \| italy \| None \| None \| 1 \| None \| None \| 1 row 17 : 17 \| latvia \| None \| None \| None \| None \| 1 \| 1 row 18 : None \| turkey (host) \| None \| None \| None \| None \| None \| 0 ] Execute this SQL based on the above table: select country where country = 'denmark' order by 2007 wwcc desc limit 1	denmark
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select name where construction year > 1867	fiesch- -alp 1+2, fiesch- -alp 3+4, fiescheralp-eggishorn, heimat, talegga, flesch, trainer 1, trainer 2, laxeralp 1, laxeralp 2
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select latitude order by el. (m) desc limit 1	22o40's
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select count ( * ) where time >= '4 p.m'	0
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select count ( category ) where area (km2) >= 888	17
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| super lady cop \| 超级女警 \| yoki \| None row 3 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 4 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 5 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 6 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 7 : 1994 \| lantern \| 燈籠 \| fong \| None row 8 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 9 : 1995 \| trouble maker \| 蠟筆小小生 \| None \| None row 10 : 1995 \| remember m, remember e \| 那有一天不想你 \| chui ching \| None row 11 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 12 : 1995 \| a chinese odyss \| 西遊記第壹佰零壹回之月光寶盒 \| purple / lin zixia \| None row 13 : 1995 \| a chinese odyss \| 西遊記大結局之仙履奇緣 \| lin zixia \| None row 14 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 15 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 16 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 17 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 18 : 1998 \| tricky king \| 超級整蠱霸王 \| dkny / yand \| None row 19 : 1998 \| shanghai affairs \| 新唐山大兄 \| sin \| None row 20 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 21 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 22 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 23 : 1998 \| the conman \| 賭俠1999 \| ching \| None row 24 : 1999 \| the h.k. triad \| o記三合會檔案 \| None \| None row 25 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 26 : 1999 \| horoscope 1: the voice from \| 生人勿近之問米 \| jojo \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 29 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 30 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 31 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 32 : 2003 \| dack night wolf \| None \| None \| None row 33 : 2004 \| sex and the beauties \| 性感都市 \| kwan tak-han \| None row 34 : 2007 \| whispers and moans \| 性工作者十日談 \| coco \| None ] Execute this SQL based on the above table: select chinese title where id = ( select id where chinese title = '的士判官' ) - 1	超級計劃
[ 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 count ( left office ) where # > ( select # where left office = '2 september 2013' )	1
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select ( select count ( date ) where round > ( select round where date = '02/12/2012' ) ) > 0	1
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select player order by no. asc limit 1221	eddie giacomin, brian leetch, harry howell, rod gilbert, andy bathgate, adam graves, mark messier, mike richter, wayne gretzky
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select position where id = 1	1st
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select competition where opponent = 'costa rica' order by result limit 808	friendly
[ header: location \| reactor type \| status \| net capacity (mwe) \| gross capacity (mwe) row 1 : chernobyl-1 \| rbmk-1000 \| shut down in 1996 \| 740 \| 800 row 2 : chernobyl-2 \| rbmk-1000 \| shut down in 1991 \| 925 \| 1 row 3 : chernobyl-3 \| rbmk-1000 \| shut down in 2000 \| 925 \| 1 row 4 : chernobyl-4 \| rbmk-1000 \| destroyed in the 1986 accident \| 925 \| 1 row 5 : chernobyl-5 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 6 : chernobyl-6 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 7 : ignalina-1 \| rbmk-1500 \| shut down in 2004 \| 1,185 \| 1,3 row 8 : ignalina-2 \| rbmk-1500 \| shut down in 2009 \| 1,185 \| 1,3 row 9 : ignalina-3 \| rbmk-1500 \| construction cancelled in 1988 \| 1,38 \| 1,5 row 10 : ignalina-4 \| rbmk-1500 \| plan cancelled in 1988 \| 1,38 \| 1,5 row 11 : kostroma-1 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 12 : kostroma-2 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 13 : kursk-1 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 14 : kursk-2 \| rbmk-1000 \| operational until 2024 \| 925 \| 1 row 15 : kursk-3 \| rbmk-1000 \| operational until march 2014 \| 925 \| 1 row 16 : kursk-4 \| rbmk-1000 \| operational until february 2016 \| 925 \| 1 row 17 : kursk-5 \| mker-1000 \| construction begin was 1985, since then shelve \| 925 \| 1 row 18 : kursk-6 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 row 19 : leningrad-1 \| rbmk-1000 \| operational \| 925 \| 1 row 20 : leningrad-2 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 21 : leningrad-3 \| rbmk-1000 \| operational until june 2025 \| 925 \| 1 row 22 : leningrad-4 \| rbmk-1000 \| operational until august 2026 \| 925 \| 1 row 23 : smolensk-1 \| rbmk-1000 \| operational until december 2022 \| 925 \| 1 row 24 : smolensk-2 \| rbmk-1000 \| operational until july 2015 \| 925 \| 1 row 25 : smolensk-3 \| rbmk-1000 \| operational until july 2023 \| 925 \| 1 row 26 : smolensk-4 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 ] Execute this SQL based on the above table: select reactor type where reactor type != 'rbmk-1000' and net capacity (mwe) = 925	mker-1000
[ header: festival \| year \| award \| nominee \| result row 1 : blue mountains film festival \| 2011 \| animation prize \| None \| won row 2 : firstglance film festival philadelphia \| 2011 \| best director (animation) \| andrew martin \| won row 3 : lucerne international film festival \| 2011 \| best animated movie \| None \| nominated row 4 : village roadshow queensland new filmmakers \| 2011 \| best animation \| None \| won row 5 : village roadshow queensland new filmmakers \| 2011 \| best film \| None \| nominated row 6 : village roadshow queensland new filmmakers \| 2011 \| best direction \| andrew martin \| nominated row 7 : monaco international film festival \| 2011 \| best short film script \| None \| won row 8 : monaco international film festival \| 2011 \| best short animation \| None \| won row 9 : milan international film festival \| 2012 \| short film award \| None \| nominated row 10 : shorts in paradise film festival \| 2012 \| runner up award \| None \| won row 11 : worldfest houston international film festival and video \| 2012 \| special jury remi \| None \| won row 12 : janison short sharp film festival \| 2012 \| animation grand prize \| None \| won row 13 : create design awards \| 2012 \| motion category \| None \| nominated row 14 : st kilda film festival \| 2013 \| best comedy \| None \| won ] Execute this SQL based on the above table: select year order by id desc limit 1	2013
[ 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 abs ( studio - title ) order by studio desc limit 1	0
[ header: date \| constituency \| c/u \| former incumbent \| winner \| cause row 1 : 28 april 1791 \| ludgershall \| c \| george augustus selwyn \| samuel smith \| death row 2 : 4 may 1791 \| stirling burghs \| c \| sir archibald campbell \| andrew james cochrane \| death row 3 : 21 february 1792 \| st mawes \| u \| john graves simcoe \| thomas calvert \| resignation (lieutenant governor of upper canada row 4 : 7 march 1792 \| rochester \| c \| sir richard bickerton \| nathaniel smith \| death row 5 : 7 may 1792 \| malton \| u \| william weddell \| george damer \| death row 6 : 18 may 1792 \| aberdeen burghs \| u \| alexander callender \| alexander allardyce \| death row 7 : 28 june 1792 \| liskeard \| u \| edward james el \| edward james el \| commissioner of the board of control row 8 : 15 september 1792 \| newcastle-under-lyme \| c \| john leveson gower \| william egerton \| death row 9 : 28 may 1793 \| heytesbury \| u \| the lord auckland \| the viscount clifden \| became a british peer row 10 : 26 june 1793 \| shaftesbury \| u \| william grant \| paul benfield \| appointed second justice of the south wales circuit row 11 : 28 june 1793 \| newtown \| u \| sir richard worsley \| george canning \| resignation row 12 : 15 february 1794 \| wilton \| u \| lord herbert \| philip goldsworthy \| succeeded to a peerage row 13 : 3 march 1794 \| east retford \| u \| earl of lincoln \| william henry clinton \| succeeded to a peerage row 14 : 5 april 1794 \| cambridge university \| u \| earl of euston \| earl of euston \| chief ranger of st. jame row 15 : 11 april 1794 \| perthshire \| u \| james murray \| thomas graham \| death row 16 : 9 september 1794 \| wenlock \| u \| sir henry bridgeman \| john simpson \| elevated to the peerage row 17 : 20 september 1794 \| cirencester \| u \| lord apsley \| michael hicks beach \| succeeded to a peerage row 18 : 3 october 1794 \| weymouth and melcombe regis \| u \| sir james johnstone \| gabriel tucker steward \| death row 19 : 17 october 1794 \| city durham \| u \| john tempest, jr \| sir henry vane \| death row 20 : 27 march 1795 \| east looe \| u \| william wellesley pole \| charles arbuthnot \| resignation ] Execute this SQL based on the above table: select date order by id desc limit 1	27 march 1795
[ header: \| 1948 \| 1952 \| 1956 \| 1960 \| 1964 row 1 : all voters \| 50 \| 45 \| 42 \| 50 \| 61 row 2 : white \| 50 \| 43 \| 41 \| 49 \| 59 row 3 : black \| 50 \| 79 \| 61 \| 68 \| 94 row 4 : college educated \| 22 \| 34 \| 31 \| 39 \| 52 row 5 : high school educated \| 51 \| 45 \| 42 \| 52 \| 62 row 6 : grade school educated \| 64 \| 52 \| 50 \| 55 \| 66 row 7 : professional & business \| 19 \| 36 \| 32 \| 42 \| 54 row 8 : white collar \| 47 \| 40 \| 37 \| 48 \| 57 row 9 : manual worker \| 66 \| 55 \| 50 \| 60 \| 71 row 10 : farmer \| 60 \| 33 \| 46 \| 48 \| 53 row 11 : union member \| 76 \| None \| 51 \| 62 \| 77 row 12 : not union \| 42 \| None \| 35 \| 44 \| 56 row 13 : protestant \| 43 \| 37 \| 37 \| 38 \| 55 row 14 : catholic \| 62 \| 56 \| 51 \| 78 \| 76 row 15 : republican \| None \| 8 \| 4 \| 5 \| 20 row 16 : independent \| None \| 35 \| 30 \| 43 \| 56 row 17 : democrat \| None \| 77 \| 85 \| 84 \| 87 row 18 : east \| 48 \| 45 \| 40 \| 53 \| 68 row 19 : midwest \| 50 \| 42 \| 41 \| 48 \| 61 row 20 : west \| 49 \| 42 \| 43 \| 49 \| 60 row 21 : south \| 53 \| 51 \| 49 \| 51 \| 52 ] Execute this SQL based on the above table: select where = 'midwest'	midwest
[ header: n \| p \| nat. \| name \| age \| moving from \| type \| transfer window \| ends \| transfer fee row 1 : 20 \| rw \| por \| nuno capucho \| 31 \| porto \| transfer \| summer \| 2005 \| £0.67m row 2 : 15 \| cb \| georgia \| zurab khizanishvili \| 21 \| dundee \| transfer \| summer \| 2006 \| free row 3 : 16 \| lb \| ita \| paolo vanoli \| 30 \| bologna \| transfer \| summer \| 2005 \| free row 4 : 25 \| cb \| nor \| henning berg \| 33 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 5 : 4 \| cm \| bra \| emerson \| 31 \| atletico madrid \| transfer \| summer \| 2005 \| free row 6 : 9 \| cf \| nor \| egil østenstad \| 31 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 7 : 37 \| lm \| tun \| hamed namouchi \| 19 \| cannes \| transfer \| None \| 2005 \| free row 8 : None \| cm \| fra \| marc kalenga \| 18 \| auxerre \| transfer \| None \| 2004 \| free row 9 : 11 \| cm \| sco \| gavin rae \| 26 \| dundee \| transfer \| winter \| 2007 \| £0.25m row 10 : 5 \| cb \| ned \| frank de boer \| 33 \| galatasaray \| transfer \| winter \| 2004 \| free row 11 : 52 \| cf \| mkd \| bajram fetai \| 18 \| b.93 \| transfer \| winter \| 2006 \| £0.2m ] Execute this SQL based on the above table: select p order by ends desc limit 1	cm
[ header: rank \| area \| state/ province \| csa/cma 2009 population \| projected 2025 population \| projected increase 2009-2025 row 1 : 1 \| chicago \| il-in-wi \| 9804845 \| 10935100 \| 1130255 row 2 : 2 \| toronto \| on \| 5741400 \| 7408000 \| 1666600 row 3 : 3 \| detroit \| mi \| 5327764 \| 6191000 \| 863236 row 4 : 4 \| cleveland \| oh \| 2891988 \| 3172000 \| 280012 row 5 : 5 \| milwaukee \| wi \| 1760268 \| 1913000 \| 157732 row 6 : 6 \| ottawa - gatin \| on-qc \| 1451415 \| 1596556 \| 145141 row 7 : 7 \| grand rapids \| mi \| 1327366 \| 1530000 \| 202634 row 8 : 8 \| buffalo \| ny \| 1203493 \| 1040400 \| -163093 row 9 : 9 \| rochester \| ny \| 1149653 \| 1248600 \| 98947 row 10 : 10 \| hamilton \| on \| 740200 \| 954858 \| 214658 row 11 : 11 \| toledo \| oh \| 672220 \| 672220 \| 0 row 12 : 12 \| lansing \| mi \| 523609 \| 547325 \| 23716 row 13 : 13 \| kitchener - cambridge - waterl \| on \| 492400 \| 635196 \| 142796 row 14 : 14 \| london \| on \| 492200 \| 634938 \| 142738 row 15 : 15 \| fort wayne \| in \| 414315 \| 455623 \| 39366 row 16 : 16 \| st. catharines - \| on \| 404400 \| 521676 \| 117276 row 17 : 17 \| windsor \| on \| 330900 \| 426861 \| 95961 row 18 : 18 \| erie \| pa \| 280985 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where state/ province = 'oh'	2
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select max ( area (km2) ) - min ( area (km2) )	212235.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select count ( territory ) where notes = 'live album'	1
[ header: province \| capital \| population \| density \| municipalities \| legal districts row 1 : almeria \| almeria \| 702819 \| 72.5 /km2 (188 / \| 102 municipalities \| 8 row 2 : cadiz \| cadiz \| 1243519 \| 158.8 /km2 (411 \| 44 municipalities \| 14 row 3 : cordoba \| cordoba \| 805857 \| 72.4 /km2 (188 / \| 75 municipalities \| 12 row 4 : granada \| granada \| 924550 \| 68.7 /km2 (178 \| 169 municipalities \| 9 row 5 : huelva \| huelva \| 521968 \| 47.7 /km2 (124 \| 79 municipalities \| 6 row 6 : jaen \| jaen \| 670600 \| 49.1 /km2 (127 \| 97 municipalities \| 10 row 7 : malaga \| malaga \| 1625827 \| 204.1 /km2 (529 / \| 101 municipalities \| 11 row 8 : seville \| seville \| 1928962 \| 129.2 /km2 (335 \| 105 municipalities \| 15 ] Execute this SQL based on the above table: select abs ( municipalities - legal districts ) where population = 924550	160.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select notes where position = '2nd (h)'	3.0
[ 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 member where state > ( select state where member = 'philip barresi' ) order by state limit 1	don randall
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select venue where # in ( 2 , 6 )	taiyuan, china, feldkirch, austria, pocatello, u.s
[ header: map (coordinates) \| municipality \| area (square kilometers) (square miles) \| population \| mesoregion \| microregion row 1 : 6°26′8′′s 36°38 \| acari \| 608.565 (234.967) \| 11035 \| central potiguar \| serido oriental row 2 : 6°11′40′′s 35°9 \| ares \| 112.584 (43.469) \| 12931 \| leste potiguar \| litoral sul row 3 : 5°41′50′′s 36°31 \| fernando pedroza \| 322.540 (124.533) \| 2850 \| central potiguar \| angicos row 4 : 6°8′57′′s 35°26 \| lagoa de pedras \| 117.660 (45.429) \| 6992 \| agreste potiguar \| agreste potiguar row 5 : 6°16′44′′s 35°22 \| passagem \| 41.235 (15.921) \| 2899 \| agreste potiguar \| agreste potiguar row 6 : 6°6′36′′s 37°18 \| patu \| 319.932 (123.526) \| 11964 \| oeste potiguar \| umarizal row 7 : 5°4′4′′s 36°46 \| porto do mangue \| 418.636 (161.635) \| 5217 \| oeste potiguar \| vale do acu row 8 : 5°58′30′′s 38°9 \| sao francisco do o \| 75.550 (29.170) \| 3874 \| oeste potiguar \| pau dos ferros row 9 : 6°6′36′′s 37°57 \| serrinha dos pintos \| 122.644 (47.353) \| 4538 \| oeste potiguar \| umarizal row 10 : 6°20′53′′s 35°22 \| varzea \| 67.245 (25.963) \| 5227 \| agreste potiguar \| agreste potiguar ] Execute this SQL based on the above table: select map (coordinates) where map (coordinates) in ( '12931' , '6°6′36′′s 37°57′23′′w / 6.11000°s 37.95639°w' ) order by population desc limit 1	6°6′36′′s 37°57′23′′w / 6.11000°s 37.95639°w
[ header: pos. \| artist \| single \| year \| sales \| peak row 1 : 1 \| daniel lavoie, pat \| "belle" \| 1998 \| 2,221,000 \| 1 row 2 : 4 \| wes \| "alane" \| 1997 \| 1,418,000 \| 1 row 3 : 10 \| celine dion \| "the reason" / "my heart will \| 1998 \| 1,197,000 \| 1 row 4 : 16 \| celine dion \| "pour que tu m'aime \| 1995 \| 955,000 \| 1 row 5 : 19 \| andrea bocelli & helene \| "vivo per lei (je vis pour \| 1998 \| 874,000 \| 1 row 6 : 20 \| zebda \| "tomber la chemise" \| 1999 \| 868,000 \| 1 row 7 : 22 \| khaled \| "aicha" \| 1996 \| 824,000 \| 1 row 8 : 24 \| david hallyday \| "tu ne m'a \| 1999 \| 801,000 \| 1 row 9 : 25 \| will smith \| "men in black" \| 1997 \| 783,000 \| 1 row 10 : 32 \| brandy & monica \| "the boy is mine" \| 1998 \| 662,000 \| 2 row 11 : 35 \| tina arena \| "aller plus haut" \| 1999 \| 617,000 \| 2 row 12 : 39 \| eiffel 65 \| "move your body" \| 1999 \| 589,000 \| 1 row 13 : 40 \| britney spears \| "... baby one more time" \| 1999 \| 578,000 \| 1 row 14 : 54 \| hanson \| "mmmbop" \| 1997 \| 490,000 \| 4 row 15 : 59 \| regg'lyss \| "mets de l'huile" \| 1993 \| 476,000 \| 1 row 16 : 60 \| janet jackson \| "together again" \| 1998 \| 475,000 \| 2 row 17 : 61 \| modern talking \| "you're my heart, you're \| 1998 \| 475,000 \| 3 row 18 : 64 \| lara fabian \| "je t'aime" \| 1997 \| 471,000 \| 6 row 19 : 65 \| madonna \| "frozen" \| 1998 \| 469,000 \| 2 row 20 : 66 \| francois feldman \| "joy" \| 1991 \| 468,000 \| 1 row 21 : 67 \| patrick bruel \| "qui a le droit... (live) \| 1991 \| 466,000 \| 1 row 22 : 68 \| youssou n'dour \| "7 seconds" \| 1994 \| 465,000 \| 1 row 23 : 73 \| freddie mercury \| "living on my own 1993" \| 1993 \| 426,000 \| 1 row 24 : 81 \| g.o. culture \| "darla_dirladada" \| 1993 \| 397,000 \| 1 row 25 : 82 \| spice girls \| "spice up your life" \| 1997 \| 397,000 \| 3 row 26 : 85 \| jean-philippe audin & \| "song of ocarina" \| 1991 \| 379,000 \| 1 row 27 : 86 \| boris \| "soiree disco" \| 1996 \| 376,000 \| 1 row 28 : 89 \| celine dion \| "un garcon pas comme les autres (zi \| 1993 \| 365,000 \| 2 row 29 : 90 \| liane foly \| "la vie ne m'apprend \| 1999 \| 364,000 \| 3 row 30 : 91 \| fool's garden \| "lemon tree" \| 1996 \| 362,000 \| 3 ] Execute this SQL based on the above table: select count ( * ) where sales < '465,000' and sales = '469,000'	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select count ( * ) where score = '68-71=139'	2
[ header: group \| members \| caucusing \| total row 1 : socialist group \| 242 \| 8 \| 250 row 2 : rpr group \| 136 \| 6 \| 140 row 3 : udf group \| 107 \| 6 \| 113 row 4 : communist group \| 34 \| 2 \| 36 row 5 : radical, citizen and green \| 33 \| 0 \| 33 row 6 : non-inscrits \| 5 \| 0 \| 5 row 7 : total \| 555 \| 22 \| 577 ] Execute this SQL based on the above table: select group where members = ( select members where group = 'communist group' ) - 1	radical, citizen and green
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 26, 1959 \| at los angeles rams \| w 23-21 \| 71297 row 2 : 2 \| october 4, 1959 \| at philadelphia eagle \| l 49-21 \| 27023 row 3 : 3 \| october 11, 1959 \| at cleveland browns \| w 10-6 \| 65534 row 4 : 4 \| october 18, 1959 \| philadelphia eagles \| w 24-7 \| 68783 row 5 : 5 \| october 25, 1959 \| at pittsburgh steelers \| w 21-16 \| 33596 row 6 : 6 \| november 1, 1959 \| green bay packers \| w 20-3 \| 68837 row 7 : 7 \| november 8, 1959 \| chicago cardinals \| w 9-3 \| 56779 row 8 : 8 \| november 15, 1959 \| pittsburgh steelers \| l 14-9 \| 66786 row 9 : 9 \| november 22, 1959 \| at chicago cardinals (bloom \| w 30-20 \| 26625 row 10 : 10 \| november 29, 1959 \| washington redskins \| w 45-14 \| 60982 row 11 : 11 \| december 6, 1959 \| cleveland browns \| w 48-7 \| 68436 row 12 : 12 \| december 13, 1959 \| at washington redskins \| w 24-10 \| 26198 ] Execute this SQL based on the above table: select opponent order by attendance asc limit 1	at washington redskins
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select club order by goals limit 1	gaziantepspor
[ header: season \| tier \| division \| place row 1 : 1981/82 \| 4 \| 3a \| 17th row 2 : 1982/83 \| 5 \| regional \| None row 3 : 1983/84 \| 4 \| 3a \| 1st row 4 : 1984/85 \| 4 \| 3a \| 2nd row 5 : 1985/86 \| 4 \| 3a \| 1st row 6 : 1986/87 \| 3 \| 2ab \| 10th row 7 : 1987/88 \| 3 \| 2ab \| 1st row 8 : 1988/89 \| 2 \| 2a \| 18th row 9 : 1989/90 \| 3 \| 2ab \| 7th row 10 : 1990/91 \| 3 \| 2ab \| 8th row 11 : 1991/92 \| 3 \| 2ab \| 20th row 12 : 1992/93 \| 4 \| 3a \| 14th row 13 : 1993/94 \| 4 \| 3a \| 19th row 14 : 1994/95 \| 5 \| reg. pref \| 9th row 15 : 1995/96 \| 5 \| reg. pref \| 4th row 16 : 1996/97 \| 5 \| reg. pref \| 1st row 17 : 1997/98 \| 5 \| reg. pref \| 2nd ] Execute this SQL based on the above table: select division where place = ( select place where division = 'reg. pref' ) + 1	2ab

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: act \| year signed \| # albums released under bad boy row 1 : diddy \| 1993 \| 6 row 2 : the notorious b.i.g \| 1993 \| 5 row 3 : harve pierre \| 1993 \| None row 4 : the hitmen \| 1993 \| None row 5 : mario winans \| 1995 \| 1 row 6 : kalenna harper \| 2004 \| None row 7 : cassie \| 2006 \| 1 row 8 : janelle monae \| 2007 \| 2 row 9 : red cafe \| 2009 \| None row 10 : machine gun kelly \| 2011 \| 1 row 11 : french montana \| 2012 \| 1 row 12 : megan nicole \| 2012 \| None ] Execute this SQL based on the above table: select count ( act ) where act = 'the hitmen'	1
[ header: numbers tops \| numbers tops \| numbers pre-tops \| name(s) \| dates \| final livery \| operator \| withdrawn \| status row 1 : 86205 \| 86503 \| e3129 \| city of lancaster \| 1979-2003 \| virgin red/black \| virgin west coast \| 10/2003 \| converted to 86701 (08/2009) row 2 : 86208 \| None \| e3141 \| city of chester \| 1979-2000 \| intercity \| ews \| 03/2002 \| scrapped at crewe electric tmd row 3 : 86223 \| None \| e3158 \| hector norwich union \| 1979-1987 1987-2004 \| anglia railways \| fm rail \| 04/2004 \| scrapped at emr kings row 4 : 86225 \| None \| e3164 \| hardwicke \| 1980-2003 \| virgin red/black \| virgin cross-country \| 07/2002 \| scrapped at rotherham (04/ row 5 : 86235 \| None \| e3194 \| novelty harold macmillan crown point \| 1979-1990 1990-1992 1992- \| anglia railways \| 'one' \| 09/2005 \| stored at long marston row 6 : 86246 \| 86505 \| e3149 \| royal anglian regiment \| 1985- \| anglia railways \| 'one' \| 12/2004 \| stored at long marston row 7 : 86251 \| None \| e3183 \| the birmingham post \| 1984-2002 \| virgin red/black \| fm rail \| 10/2002 \| stored at long marston row 8 : 86255 \| 86042 \| e3154 \| penrith beacon \| 1981-1999 \| intercity \| virgin cross-country \| 08/1998 \| scrapped at immingham rft row 9 : 86258 \| 86046 \| e3192 \| talyllyn - the first \| 1984-2001 2001-2002 \| virgin red/black \| virgin cross-country \| 07/2002 \| conversion to battery-electric locomotive cancelled. scrapped row 10 : 86419 \| 86319 \| e3120 \| post haste 150 years of the travelling post \| 1990-1993 \| rail express systems \| ews \| 03/1999 \| scrapped at crewe electric tmd row 11 : 86424 \| 86324 \| e3111 \| None \| None \| nr yellow \| network rail \| 12/2002 \| exported hungary. (08/2013) row 12 : 86501 \| 86608 \| e3180 \| crewe basford hall \| 2000-2000 \| freightliner green \| freightliner \| None \| in service row 13 : 86602 \| 86402 \| e3170 \| None \| None \| freightliner green \| freightliner \| 03/2005 \| scrapped at sandbach car & row 14 : 86605 \| 86405 \| e3185 \| intercontainer \| 1992-1996 \| freightliner green \| freightliner \| None \| in service row 15 : 86611 \| 86411 \| e3171 \| airey neave \| 1983-2003 \| freightliner grey \| freightliner \| 11/2003 \| written-off in norton bridge accident scrapped row 16 : 86614 \| 86414 \| e3145 \| frank hornby \| 1986-2001 \| freightliner green \| freightliner \| None \| in service row 17 : 86627 \| 86427 \| e3110 \| the industrial society \| 1985-1999 \| freightliner green \| freightliner \| None \| in service ] Execute this SQL based on the above table: select numbers pre-tops where numbers tops = 86419	e3120
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 1st \| 3000 m \| 9:12.70 row 2 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 1500 m \| 4:17.39 row 3 : 2004 \| world junior championships \| grosseto, italy \| 3rd \| 3000 m \| 9:03.16 (pb) row 4 : 2007 \| world athletics final \| stuttgart, germany \| 8th \| 1500 m \| 4:16.51 row 5 : 2007 \| world championships \| osaka, japan \| 31st (h) \| 1500 m \| 4:22.12 row 6 : 2008 \| world indoor championships \| valencia, spain \| 5th \| 1500 m \| 4:15.54 row 7 : 2008 \| olympic games \| beijing, china \| 10th \| 1500 m \| 4:05.57 row 8 : 2009 \| mediterranean games \| pescara, italy \| 4th \| 1500 m \| 4:12.83 row 9 : 2009 \| world championships \| berlin, germany \| 29th (h) \| 1500 m \| 4:10.57 row 10 : 2009 \| jeux de la francophonie \| beirut, lebanon \| 2nd \| 1500 m \| 4:21.56 row 11 : 2010 \| african championships \| nairobi, kenya \| 11th \| 1500 m \| 4:20.98 row 12 : 2011 \| world championships \| daegu, south korea \| 16th (sf) \| 1500 m \| 4:09.64 row 13 : 2011 \| pan arab games \| doha, qatar \| 2nd \| 1500 m \| 4:20.83 row 14 : 2012 \| world indoor championships \| istanbul, turkey \| 11th (h) \| 1500 m \| 4:11.69 row 15 : 2013 \| mediterranean games \| mersin, turkey \| 2nd \| 800 m \| 2:00.79 row 16 : 2013 \| mediterranean games \| mersin, turkey \| 1st \| 1500 m \| 4:04.06 row 17 : 2013 \| world championships \| moscow, russia \| 11th \| 1500 m \| 4:09.16 row 18 : 2013 \| jeux de la francophonie \| nice, france \| 4th \| 800 m \| 2:03.73 row 19 : 2013 \| jeux de la francophonie \| nice, france \| 2nd \| 1500 m \| 4:18.89 row 20 : 2014 \| world indoor championships \| sopot, poland \| 4th \| 1500 m \| 4:07.62 ] Execute this SQL based on the above table: select count ( competition ) where event >= '1500 m'	0
[ header: year \| award \| category \| work \| result row 1 : 1992 \| 8th soap opera digest awards \| outstanding female newcomer: daytime \| the young and the restless \| nominated row 2 : 1994 \| 10th soap opera digest awards \| outstanding scene stealer \| the young and the restless \| won row 3 : 1994 \| 26th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 4 : 1995 \| 11th soap opera digest awards \| hottest female star \| the young and the restless \| nominated row 5 : 1996 \| 27th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 6 : 1996 \| 23rd daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 7 : 1997 \| 24th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 8 : 1997 \| 28th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 9 : 1998 \| 25th daytime emmy awards \| outstanding supporting actress in a drama series \| the young and the restless \| nominated row 10 : 1998 \| 29th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 11 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| diagnosis murder \| nominated row 12 : 1999 \| 30th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 13 : 2001 \| 31st naacp image \| outstanding actress in a daytime drama series \| the young and the restless \| won row 14 : 2003 \| 34th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 15 : 2003 \| 18th soap opera digest awards \| favorite return \| the young and the restless \| nominated row 16 : 2004 \| 35th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 17 : 2005 \| 19th soap opera digest awards \| outstanding actress in a supporting role \| the young and the restless \| nominated row 18 : 2005 \| 36th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won row 19 : 2006 \| 37th naacp image award \| outstanding actress in a daytime drama series \| the young and the restless \| won ] Execute this SQL based on the above table: select award where category = 'outstanding supporting actress in a drama series' order by year limit 2006	23rd daytime emmy awards, 24th daytime emmy awards, 25th daytime emmy awards
[ 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 primary mshsaa class* = ( select primary mshsaa class* where county = 'nodaway' ) + 1	buchanan, livingston, buchanan, andrew, clay
[ header: county \| fips code \| county seat \| created \| origin \| etymology \| population estimate (2011) \| area row 1 : alamance county \| 1 \| graham \| 1849 \| orange county \| the battle of alamance which was derived \| 153291 \| 435 sq mi (1,127 km2) row 2 : clay county \| 43 \| hayesville \| 1861 \| cherokee county \| henry clay (1777-1852), states \| 10563 \| 221 sq mi (572 km2) row 3 : dare county \| 55 \| manteo \| 1870 \| currituck county, hyde \| virginia dare (b. 1587 \| 34307 \| 1,562 sq mi (4,046 km2) row 4 : duplin county \| 61 \| kenansville \| 1750 \| new hanover county \| thomas hay, viscount du \| 59542 \| 819 sq mi (2,121 km2) row 5 : gaston county \| 71 \| gastonia \| 1846 \| lincoln county \| william gaston (1778-1844), \| 207031 \| 364 sq mi (943 km2) row 6 : greene county \| 79 \| snow hill \| 1799 \| dobbs county originally named glasgo \| nathanael greene (17 \| 21556 \| 266 sq mi (689 km2) row 7 : henderson county \| 89 \| hendersonville \| 1838 \| buncombe county \| leonard henderson (1772-18 \| 107927 \| 375 sq mi (971 km2) row 8 : mitchell county \| 121 \| bakersville \| 1861 \| burke county, caldwell county, m \| elisha mitchell (1793 \| 15445 \| 222 sq mi (575 km2) row 9 : wilson county \| 195 \| wilson \| 1855 \| edgecombe county, johnston county, \| louis d. wilson, \| 81452 \| 374 sq mi (969 km2) row 10 : yadkin county \| 197 \| yadkinville \| 1850 \| surry county \| the yadkin river \| 38279 \| 337 sq mi (873 km2) ] Execute this SQL based on the above table: select ( select county seat where origin = 'surry county' ) < ( select county seat where origin = 'edgecombe county, johnston county, nash county, and wayne county' )	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 9 \| northern illinois \| #4 \| memorial stadium • lincoln, \| w 48-17 \| 76194 row 2 : september 16 \| utah \| #4 \| memorial stadium • lincoln, \| w 42-30 \| 76333 row 3 : september 23 \| at minnesota \| #3 \| hubert h. humph \| w 48-0 \| 58368 row 4 : september 30 \| oregon state \| #3 \| memorial stadium • lincoln, \| w 35-7 \| 76290 row 5 : october 7 \| kansas state \| #4 \| memorial stadium • lincoln, \| w 58-7 \| 76265 row 6 : october 14 \| at missouri \| #4 \| faurot field • columbia \| w 50-7 \| 55620 row 7 : october 21 \| at oklahoma state \| #4 \| lewis field • stillwater, o \| w 48-23 \| 40000 row 8 : october 28 \| iowa state \| #4 \| memorial stadium • lincoln, \| w 49-17 \| 52877 row 9 : november 4 \| at #2 colorado \| #3 \| folsom field • boulder, colorad \| l 21-27 \| 52877 row 10 : november 11 \| kansas \| #6 \| memorial stadium • lincoln, \| w 51-14 \| 76232 row 11 : november 18 \| oklahoma \| #6 \| memorial stadium • lincoln, \| w 42-25 \| 76404 row 12 : january 1 \| vs. #5 florida state \| #6 \| sun devil stadium • tempe, ari \| l 17-41 \| 73953 ] Execute this SQL based on the above table: select rank# order by attendance limit 1	#4
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 5 \| 2 \| 3 \| 10 row 2 : 2 \| colombia \| 4 \| 4 \| 9 \| 17 row 3 : 3 \| dominican republic \| 4 \| 3 \| 4 \| 11 row 4 : 4 \| peru \| 3 \| 3 \| 8 \| 14 row 5 : 5 \| ecuador \| 2 \| 3 \| 3 \| 8 row 6 : 6 \| guatemala \| 1 \| 1 \| 1 \| 3 row 7 : 7 \| chile \| 0 \| 3 \| 2 \| 5 row 8 : 8 \| panama \| 0 \| 0 \| 3 \| 3 row 9 : 9 \| bolivia \| 0 \| 0 \| 1 \| 1 row 10 : 9 \| paraguay \| 0 \| 0 \| 1 \| 1 row 11 : total \| total \| 19 \| 19 \| 35 \| 73 ] Execute this SQL based on the above table: select count ( nation )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 9 \| 8 \| 6 \| 23 row 2 : 2 \| guatemala \| 6 \| 6 \| 6 \| 18 row 3 : 3 \| peru \| 5 \| 8 \| 9 \| 22 row 4 : 4 \| chile \| 4 \| 4 \| 1 \| 9 row 5 : 5 \| el salvador \| 4 \| 0 \| 2 \| 6 row 6 : 6 \| ecuador \| 2 \| 5 \| 1 \| 8 row 7 : 7 \| bolivia \| 2 \| 1 \| 2 \| 5 row 8 : 8 \| dominican republic \| 1 \| 0 \| 2 \| 3 row 9 : 9 \| colombia \| 0 \| 1 \| 3 \| 4 row 10 : total \| total \| 33 \| 33 \| 32 \| 98 ] Execute this SQL based on the above table: select gold where nation = 'venezuela'	9.0
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| ue lleida \| 38 \| 57+19 \| 23 \| 11 \| 4 \| 56 \| 20 \| 36 row 2 : 2 \| real valladolid \| 38 \| 52+14 \| 20 \| 12 \| 6 \| 50 \| 30 \| 20 row 3 : 3 \| racing de santander \| 38 \| 52+14 \| 23 \| 6 \| 9 \| 56 \| 38 \| 18 row 4 : 4 \| rcd mallorca \| 38 \| 50+12 \| 21 \| 8 \| 9 \| 57 \| 34 \| 23 row 5 : 5 \| real betis \| 38 \| 43+5 \| 16 \| 11 \| 11 \| 49 \| 33 \| 16 row 6 : 6 \| real madrid b \| 38 \| 42+4 \| 15 \| 12 \| 11 \| 57 \| 41 \| 16 row 7 : 7 \| atletico marbella \| 38 \| 42+4 \| 17 \| 8 \| 13 \| 45 \| 41 \| 4 row 8 : 8 \| barcelona b \| 38 \| 39+1 \| 15 \| 9 \| 14 \| 59 \| 55 \| 4 row 9 : 9 \| cp merida \| 38 \| 39+1 \| 13 \| 13 \| 12 \| 43 \| 42 \| 1 row 10 : 10 \| cd castellon \| 38 \| 36-2 \| 13 \| 10 \| 15 \| 40 \| 45 \| -5 row 11 : 11 \| cd badajoz \| 38 \| 36-2 \| 14 \| 8 \| 16 \| 37 \| 36 \| 1 row 12 : 12 \| sd compostela \| 38 \| 35-3 \| 10 \| 15 \| 13 \| 35 \| 39 \| -4 row 13 : 13 \| villarreal cf \| 38 \| 34-4 \| 13 \| 8 \| 17 \| 38 \| 51 \| -14 row 14 : 14 \| palamos cf \| 38 \| 33-5 \| 12 \| 9 \| 17 \| 33 \| 50 \| -17 row 15 : 15 \| athletic de bilbao b \| 38 \| 33-5 \| 9 \| 15 \| 14 \| 33 \| 34 \| -1 row 16 : 16 \| sd eibar \| 38 \| 32-6 \| 10 \| 12 \| 16 \| 33 \| 44 \| -11 row 17 : 17 \| ue figueres \| 38 \| 32-6 \| 11 \| 10 \| 17 \| 41 \| 59 \| -18 row 18 : 18 \| cd lugo \| 38 \| 25-13 \| 7 \| 11 \| 20 \| 23 \| 41 \| -18 row 19 : 19 \| sestao \| 38 \| 24-14 \| 7 \| 10 \| 21 \| 29 \| 54 \| -25 row 20 : 20 \| ce sabadell fc 1 \| 38 \| 24-14 \| 8 \| 8 \| 22 \| 30 \| 57 \| -27 ] Execute this SQL based on the above table: select club where goal difference = 1	cp merida, cd badajoz
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| brazil \| 13 \| 18 \| 12 \| 43 row 2 : 2 \| argentina \| 7 \| 4 \| 7 \| 18 row 3 : 3 \| chile \| 7 \| 2 \| 3 \| 12 row 4 : 4 \| colombia \| 5 \| 5 \| 4 \| 14 row 5 : 5 \| venezuela \| 4 \| 6 \| 6 \| 16 row 6 : 6 \| uruguay \| 1 \| 1 \| 0 \| 2 row 7 : 7 \| peru \| 0 \| 1 \| 0 \| 1 row 8 : 8 \| panama \| 0 \| 0 \| 2 \| 2 row 9 : 8 \| bolivia \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| paraguay \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select ( select bronze where nation = 'colombia' ) <= 1134	1
[ header: year \| name of show \| episodes \| other guests \| winner(s) row 1 : 1997 \| super trio series 2: movie buff championship \| 18 \| florence kwok, jo \| charmaine sheh row 2 : 2000 \| the super trio show \| 6 \| julian cheung, calvin \| charmaine sheh, julian che row 3 : 2002 \| a trio delights \| 3 \| timmy hung, ken wong \| louis yuen row 4 : 2004 \| the super trio continues \| 7 \| michael tao, \| charmaine sheh, michael row 5 : 2007 \| foodie 2 shoes \| 19, 20 \| chin ka lok, e \| charmaine sheh, chin ka row 6 : 2008 \| super trio supreme \| 1 \| bosco wong, michael mi \| charmaine sheh, cutie mui row 7 : 2009 \| are you smarter than a 5th grade \| 05, 06 \| None \| hk$175,000 (levels 8 row 8 : 2010 \| super trio game master \| 20 \| moses chan, kenneth ma \| tie row 9 : 2011 \| all star glam exam \| 8 \| ekin cheng, eric \| charmaine sheh ] Execute this SQL based on the above table: select name of show group by name of show order by count ( episodes ) desc limit 1	the super trio show
[ header: year \| team \| co-drivers \| car \| class \| laps \| pos. \| class pos. row 1 : 1972 \| ford motor company deutschland \| jochen mass \| ford capri 2600rs \| s 3.0 \| 152 \| dnf \| dnf row 2 : 1973 \| bmw motorsport \| chris amon \| bmw 3.0csl \| t 5.0 \| 160 \| dnf \| dnf row 3 : 1980 \| bmw motorsport gmbh \| hans-georg burger dominique \| bmw m1 \| imsa \| 283 \| 15th \| 5th row 4 : 1981 \| basf cassetten team gs sport \| jean-pierre jarier hel \| bmw m1 \| imsa gtx \| 57 \| dnf \| dnf row 5 : 1982 \| basf cassetten team gs sport \| jean-louis schlesser \| sauber shs c6-ford \| c \| 76 \| dnf \| dnf row 6 : 1985 \| rothmans porsche \| derek bell \| porsche 962c \| c1 \| 367 \| 3rd \| 3rd row 7 : 1986 \| rothmans porsche \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 8 : 1987 \| rothmans porsche ag \| derek bell al holbert \| porsche 962c \| c1 \| 368 \| 1st \| 1st row 9 : 1988 \| porsche ag \| klaus ludwig dere \| porsche 962c \| c1 \| 394 \| 2nd \| 2nd row 10 : 1989 \| joest racing \| bob wollek \| porsche 962c \| c1 \| 382 \| 3rd \| 3rd row 11 : 1990 \| joest porsche racing \| derek bell frank jelin \| porsche 962c \| c1 \| 350 \| 4th \| 4th row 12 : 1991 \| konrad motorsport \| derek bell frank jelin \| porsche 962c \| c2 \| 347 \| 7th \| 7th row 13 : 1993 \| le mans porsche team \| walter rohrl hurley \| porsche 911 turbo s lm- \| gt \| 79 \| dnf \| dnf row 14 : 1994 \| le mans porsche team joest racing \| thierry boutsen danny \| dauer 962 le mans \| gt1 \| 343 \| 3rd \| 2nd row 15 : 1995 \| porsche kremer racing \| thierry boutsen christoph \| kremer k8 spyder \| wsc \| 289 \| 6th \| 2nd row 16 : 1996 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 353 \| 2nd \| 1st row 17 : 1997 \| porsche ag \| thierry boutsen bob \| porsche 911 gt1 \| gt1 \| 238 \| dnf \| dnf row 18 : 1998 \| team bmw motorsport \| steve soper tom kristen \| bmw v12 lm \| lmp1 \| 60 \| dnf \| dnf ] Execute this SQL based on the above table: select count ( * ) where pos. = 'dnf'	7
[ header: governorate \| percentage \| seats won \| total seats row 1 : al-anbar \| None \| 0 \| 29 row 2 : babil \| 8.2% \| 5 \| 30 row 3 : baghdad \| 5.4% \| 3 \| 57 row 4 : basra \| 11.6% \| 5 \| 35 row 5 : dhi qar \| 11.1% \| 5 \| 31 row 6 : diyala \| None \| 0 \| 29 row 7 : karbala \| 6.4% \| 4 \| 27 row 8 : maysan \| 15.2% \| 7 \| 27 row 9 : al-muthanna \| 9.3% \| 5 \| 26 row 10 : najaf \| 14.8% \| 7 \| 28 row 11 : ninawa \| 1.9% \| 0 \| 37 row 12 : al-qadisiyyah \| 11.7% \| 4 \| 28 row 13 : salah ad-din \| 2.9% \| 1 \| 28 row 14 : wassit \| 10.0% \| 6 \| 28 row 15 : total \| 6.6% \| 52 \| 440 ] Execute this SQL based on the above table: select ( select total seats where governorate = 'al-muthanna' ) - ( select total seats where governorate = 'najaf' )	-2.0
[ header: # \| secretary of state \| prime minister \| tenure row 1 : 1 \| hector louis langevin \| macdonald \| july 1, 1867 - dec row 2 : 4 \| richard william scott \| mackenzie \| january 9, 1874 - row 3 : 6 \| john o'connor \| macdonald \| november 8, 1880 - may 19, row 4 : 9 \| james colebrooke patterson \| abbott \| january 25, 1892 - row 5 : None \| joseph alderic ouimet \| bowell \| december 21, 1895 - jan row 6 : 13 \| sir charles tupper \| bowell \| january 15, 1896 - row 7 : 15 \| charles murphy \| laurier \| october 9, 1908 - row 8 : 17 \| louis coderre \| borden \| october 29, 1912 - row 9 : 18 \| pierre edouard blondin \| borden \| october 6, 1915 - row 10 : 19 \| esioff leon patenau \| borden \| january 8, 1917 - jun row 11 : None \| albert sevigny (acting) \| borden \| june 13, 1917 - august 24, 1917 row 12 : 22 \| arthur lewis sifton \| borden \| december 31, 1919 - july row 13 : 22 \| arthur lewis sifton \| meighen \| july 10, 1920 - janu row 14 : 26 \| walter edward foster \| king \| september 26, 1925 - november 12, row 15 : 27 \| guillaume andre fauteux \| meighen \| august 23, 1926 - september 25, 19 row 16 : 28 \| fernand rinfret \| king \| september 25, 1926 - august 7, 1930 row 17 : 35 \| jack pickersgill \| st. laurent \| june 11, 1953 - june row 18 : 38 \| henri courtemanche \| diefenbaker \| may 12, 1958 - june 19, 1960 row 19 : None \| leon balcer (acting minister) \| diefenbaker \| june 21, 1960 - oc row 20 : 39 \| noel dorion \| diefenbaker \| october 11, 1960 - row 21 : 43 \| jean marchand \| trudeau \| april 20, 1968 - ju row 22 : 44 \| gerard pelletier \| trudeau \| july 5, 1968 - november row 23 : 45 \| james hugh faulk \| trudeau \| november 27, 1972 - september 13, row 24 : 46 \| john roberts \| trudeau \| september 14, 1976 - june 3, row 25 : 47 \| david macdonald \| clark \| june 4, 1979 - march 2, 1980 row 26 : 49 \| gerald regan \| trudeau \| september 22, 1981 - octo row 27 : 50 \| serge joyal \| turner \| june 30, 1984 - september 16, row 28 : 54 \| lucien bouchard \| mulroney \| march 31, 1988 - january 29, row 29 : 55 \| gerry weiner \| mulroney \| january 30, 1989 - a row 30 : 57 \| monique landry \| mulroney \| january 4, 1993 - jun ] Execute this SQL based on the above table: select secretary of state order by # desc limit 1	monique landry
[ header: year \| men's winner \| time (h:m:s) \| women's winner \| time (h:m:s) \| finishers row 1 : 1996 \| zoltan kaldy (h \| 1:04:45 \| simona staicu (hun) \| 1:11:11 \| 1768 row 2 : 1997 \| keita fujino (jp \| 1:03:14 \| sachie ozaki (jp \| 1:11:04 \| 2535 row 3 : 1998 \| seiji hamada (jp \| 1:02:44 \| kazumi kanbayashi (j \| 1:10:37 \| 2703 row 4 : 1999 \| takaki morikawa (jp \| 1:03:28 \| tomoko tamamushi (j \| 1:12:15 \| 3422 row 5 : 2000 \| piotr gladki (pol) \| 1:04:45 \| mihaela botezan (rom) \| 1:10:17 \| 4024 row 6 : 2001 \| sreten ninkovic (y \| 1:04:43 \| beata rakonczai (h \| 1:13:33 \| 3912 row 7 : 2002 \| william kipsang (ken) \| 1:02:59 \| beata rakonczai (h \| 1:13:39 \| 4403 row 8 : 2003 \| miklos zatyko ( \| 1:05:53 \| aniko kalovics (hun) \| 1:11:08 \| 4470 row 9 : 2004 \| sreten ninkovic (s \| 1:06:51 \| aniko kalovics (hun) \| 1:11:18 \| 4601 row 10 : 2005 \| andras juhasz (h \| 1:05:57 \| eszter erdelyi \| 1:16:10 \| 5466 row 11 : 2006 \| barnabas bene (hun) \| 1:06:32 \| aniko kalovics (hun) \| 1:10:46 \| 4964 row 12 : 2007 \| balazs ott (h \| 1:07:19 \| krisztina papp \| 1:12:09 \| 5020 row 13 : 2008 \| roberto pasquale ruti \| 1:07:22 \| beata rakonczai (h \| 1:14:38 \| 4930 row 14 : 2009 \| erkolo ashenafi ( \| 1:07:24 \| krisztina papp \| 1:15:27 \| 4848 row 15 : 2010 \| laszlo toth (hun \| 1:04:38 \| krisztina papp \| 1:13:13 \| 5520 row 16 : 2011 \| tamas kovacs (h \| 1:06:03 \| aniko kalovics (hun) \| 1:15:04 \| 6203 row 17 : 2012 \| gabor jozsa (hun \| 1:06:36 \| krisztina papp \| 1:15:07 \| 6751 row 18 : 2013 \| henry kemboi (ken) \| 1:05:53 \| krisztina papp \| 1:12:32 \| 7436 ] Execute this SQL based on the above table: select count ( men's winner ) where time (h:m:s) = '1:14:38'	0
[ 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 count ( * ) where town = 1555	0
[ header: serial number \| river \| name \| area (km2) \| district \| co-ordinate \| altitude (m) row 1 : 1 \| bharathapuzha \| malampuzha \| 23.13 \| palakkad \| 10°50′n 76°41′ \| 104 row 2 : 2 \| bharathapuzha \| mangalam \| 3.93 \| palakkad \| 10°31′n 76°32′ \| 72 row 3 : 3 \| bharathapuzha \| meenkara \| 2.59 \| palakkad \| 10°37′n 76°48′ \| 152 row 4 : 4 \| bharathapuzha \| chulliar \| 1.59 \| palakkad \| 10°35′n 76°46′ \| 143 row 5 : 5 \| bharathapuzha \| pothundi \| 3.63 \| palakkad \| 10°32′n 76°38′ \| 93 row 6 : 9 \| chalakkudy \| thunakkadavu \| 2.83 \| palakkad \| 10°25′59′′n 76° \| 565 row 7 : 10 \| chalakkudy \| peruvaaripallam \| None \| palakkad \| 10°26′49′′n 76° \| 565 row 8 : 12 \| chalakkudy \| peringalkuthu dam \| 2.63 \| thrissur \| None \| None row 9 : 13 \| kallada \| parappar \| 25.9 \| kollam \| 09° 57' 77° 4' \| None row 10 : 15 \| karuvanoor \| peechi \| 12.63 \| thrissur \| 10°32′n 76°23′ \| 73 row 11 : 16 \| keecheri \| vazhani \| 2.55 \| thrissur \| 10° 40' 76° 15' \| None row 12 : 17 \| kuttiadi \| kuttiadi \| 10.52 \| kozhikode \| 11° 36' 75° 49'27" \| None row 13 : 19 \| pamba \| pamba \| 5.7 \| pathanamthitta \| 09° 20' 76° 53' \| None row 14 : 20 \| pamba \| kakki \| 18 \| pathanamthitta \| None \| None row 15 : 21 \| periyar \| idukki \| 61.6 \| idukki \| 09° 48' 76° 53' \| 720 row 16 : 22 \| periyar \| ponmudi \| 2.6 \| idukki \| 09° 55' 77° 05' \| None row 17 : 24 \| periyar \| kundala \| 2.3 \| idukki \| 10° 0' 77° 0 \| None row 18 : 26 \| periyar \| sengulam \| 0.33 \| idukki \| 10° 00' 77° 05 \| None row 19 : 27 \| periyar \| neriamangalam \| 4.13 \| idukki \| None \| None row 20 : 30 \| valapattanam \| pazhassi \| 6.48 \| kannur \| None \| None row 21 : 33 \| chimmini dam \| thrissur \| 85.067 \| thrissur \| None \| None ] Execute this SQL based on the above table: select district order by altitude (m) limit 1	thrissur
[ header: sl no \| constituency name \| constituency number \| member of legislative assembly \| political party row 1 : 2 \| abhayapuri south \| 35 \| chandan kumar sarkar \| indian national congress row 2 : 4 \| amguri \| 103 \| anjan dutta \| indian national congress row 3 : 9 \| barhampur \| 87 \| prafulla kumar mahanta \| asom gana parishad row 4 : 15 \| bihali \| 77 \| pallab lochan das \| indian national congress row 5 : 16 \| bihpuria \| 109 \| bhupen kumar bor \| indian national congress row 6 : 17 \| bijni \| 33 \| kamalshing narzary \| bodoland peoples front row 7 : 21 \| bokajan \| 17 \| klengdoon engti \| indian national congress row 8 : 35 \| dhemaji \| 113 \| sumitra doley patir \| indian national congress row 9 : 49 \| gauripur \| 24 \| banendra kumar mushahary \| bodoland peoples front row 10 : 53 \| golakganj \| 25 \| abu taher bepari \| indian national congress row 11 : 56 \| hajo \| 55 \| dwipen pathak \| all india trinamool congress row 12 : 59 \| howraghat \| 18 \| khorsing engti \| indian national congress row 13 : 60 \| jagiroad \| 79 \| bibekananda dalai \| indian national congress row 14 : 62 \| jalukbari \| 51 \| himanta biswa sarma \| indian national congress row 15 : 63 \| jamunamukh \| 90 \| mohammed sirajuddin a \| all india united democratic front row 16 : 64 \| jania \| 44 \| rafiqul islam \| all india united democratic front row 17 : 65 \| jonai \| 114 \| pradan baruah \| indian national congress row 18 : 73 \| katlicherra \| 7 \| gautam roy \| indian national congress row 19 : 76 \| kokrajhar west \| 29 \| pradip kumar brahma \| bodoland peoples front row 20 : 83 \| majuli \| 99 \| sri rajib lochan \| indian national congress row 21 : 87 \| mazbat \| 70 \| rakheswar brahma \| bodoland peoples front row 22 : 95 \| nowgong \| 86 \| dr. durlav chandra \| indian national congress row 23 : 101 \| rangapara \| 74 \| bhimananda tanti \| indian national congress row 24 : 105 \| sadiya \| 126 \| bolin chetia \| indian national congress row 25 : 111 \| sidli \| 31 \| sri chandan brahm \| bodoland peoples front row 26 : 114 \| sonai \| 10 \| anamul haque \| indian national congress row 27 : 115 \| sonari \| 106 \| sarat borkotoky \| indian national congress row 28 : 116 \| sootea \| 75 \| padma hazarika \| asom gana parishad row 29 : 119 \| teok \| 102 \| membar gogoi \| indian national congress row 30 : 122 \| tingkhong \| 119 \| atuwa munda \| indian national congress row 31 : 123 \| tinsukia \| 122 \| rajendra prasad singh \| indian national congress ] Execute this SQL based on the above table: select constituency name where constituency name in ( 'jonai' , 'tinsukia' ) order by constituency number desc limit 1	tinsukia
[ header: year \| position row 1 : 1957 \| did not enter row 2 : 1959 \| did not enter row 3 : 1962 \| did not enter row 4 : 1963 \| did not enter row 5 : 1965 \| did not enter row 6 : 1968 \| did not qualify row 7 : 1970 \| did not qualify row 8 : 1972 \| round 1 row 9 : 1974 \| withdrew row 10 : 1976 \| did not qualify row 11 : 1978 \| did not qualify row 12 : 1980 \| did not qualify row 13 : 1982 \| did not qualify row 14 : 1984 \| round 1 row 15 : 1986 \| did not qualify row 16 : 1988 \| did not qualify row 17 : 1990 \| withdrew row 18 : 1992 \| did not qualify row 19 : 1994 \| withdrew during qualifying row 20 : 1996 \| did not qualify row 21 : 1998 \| round 1 row 22 : 2000 \| round 1 row 23 : 2002 \| round 1 row 24 : 2004 \| did not qualify row 25 : 2006 \| round 1 row 26 : 2008 \| did not qualify row 27 : 2010 \| withdrew due to rebel attack row 28 : 2012 \| did not qualify row 29 : 2013 \| quarter-final ] Execute this SQL based on the above table: select count ( * ) where position = 1144 and position = 612	0
[ header: no. \| date \| tournament \| winning score \| margin of victory \| runner(s)-up row 1 : 1 \| may 27, 1956 \| dallas centennial open \| -12 (64-67-70-67 \| 1 stroke \| dow finsterwald, doug for row 2 : 2 \| feb 21, 1960 \| tucson open invitational \| -9 (67-67-68-69 \| 3 strokes \| bob harris row 3 : 3 \| jul 9, 1961 \| st. paul open invitational \| -19 (66-71-68-64=26 \| 1 stroke \| buster cupit row 4 : 4 \| feb 17, 1963 \| tucson open invitational \| -22 (65-67-69-65 \| 11 strokes \| gene littler, phil rodgers row 5 : 5 \| aug 28, 1966 \| philadelphia golf classic \| -10 (69-69-68-71 \| 1 stroke \| jack nicklaus row 6 : 6 \| jul 24, 1967 \| pga championship \| -7 (71-72-70-68 \| playoff \| don massengale row 7 : 7 \| apr 21, 1968 \| tournament of champions \| -8 (70-68-69-69 \| 1 stroke \| julius boros row 8 : 8 \| mar 23, 1970 \| greater jacksonville open \| -9 (68-75-70-66=27 \| playoff \| dale douglass row 9 : 9 \| oct 19, 1975 \| san antonio tex \| -13 (71-67-71-66 \| playoff \| larry hinson row 10 : 10 \| apr 18, 1976 \| mony tournament of champions \| -11 (71-68-69-69 \| 5 strokes \| hubert green ] Execute this SQL based on the above table: select tournament where date = 'oct 19, 1975'	san antonio texas open
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| new caledonia \| 120 \| 107 \| 61 \| 288 row 2 : 2 \| tahiti \| 60 \| 42 \| 42 \| 144 row 3 : 3 \| papua new guinea \| 48 \| 25 \| 48 \| 121 row 4 : 4 \| fiji \| 33 \| 44 \| 53 \| 130 row 5 : 5 \| samoa \| 22 \| 17 \| 34 \| 73 row 6 : 6 \| nauru \| 8 \| 10 \| 10 \| 28 row 7 : 7 \| tonga \| 4 \| 6 \| 10 \| 20 row 8 : 8 \| micronesia \| 3 \| 0 \| 0 \| 3 row 9 : 9 \| cook islands \| 2 \| 6 \| 4 \| 12 row 10 : 10 \| wallis and futuna \| 2 \| 3 \| 7 \| 12 row 11 : 11 \| vanuatu \| 1 \| 8 \| 8 \| 17 row 12 : 12 \| kiribati \| 1 \| 6 \| 6 \| 13 row 13 : 13 \| northern mariana islands \| 1 \| 0 \| 0 \| 1 row 14 : 14 \| guam \| 0 \| 6 \| 5 \| 11 row 15 : 15 \| solomon islands \| 0 \| 5 \| 17 \| 22 row 16 : 16 \| niue \| 0 \| 3 \| 3 \| 6 row 17 : 17 \| tuvalu \| 0 \| 2 \| 1 \| 3 row 18 : 18 \| palau \| 0 \| 1 \| 3 \| 4 row 19 : 19 \| american samoa \| 0 \| 0 \| 0 \| 0 row 20 : 19 \| marshall islands \| 0 \| 0 \| 0 \| 0 row 21 : 19 \| norfolk island \| 0 \| 0 \| 0 \| 0 row 22 : 19 \| tokelau \| 0 \| 0 \| 0 \| 0 row 23 : total \| total \| 305 \| 291 \| 312 \| 908 ] Execute this SQL based on the above table: select nation where nation != 'niue' and bronze = ( select bronze where nation = 'niue' )	palau
[ 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 ( league ) where division > 4	0
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	september 26
[ header: name \| type \| circle \| bench \| formed \| notes row 1 : st gall \| 1401: imperial city \| None \| None \| None \| 1454: associate of the swis row 2 : salm-morchingen \| wild- and rhinegraviate \| upp rhen \| None \| 1607 \| partitioned from salm-kyrburg row 3 : saxe-meissen \| duchy \| upp sax \| pr \| 1485 \| partitioned from saxe-witt row 4 : sayn-altenkirchen \| county \| None \| None \| None \| to saxe-eisenach to row 5 : schonburg (schonburg) \| 1700: hre county 1790: \| upp sax \| None \| None \| 1100s; 1st mention of schon row 6 : schwarzburg-arenstadt \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1651-1669 and 1681-1716: row 7 : schwarzburg-keula \| principality \| None \| None \| 1721: partitioned from schwarzburg \| 1740: re-annexed row 8 : schweinfurt \| 1254: free imperial town \| franc \| sw \| 1282 \| 791: 1st mention of schw row 9 : seckau \| 1218: bishopric 1218: h \| aust \| None \| 1218 \| None row 10 : solms count of solms, \| county \| None \| None \| 1129 \| 1258: partitioned into solms row 11 : solms-sachsenfeld \| county \| upp rhen \| None \| 1741 \| partitioned from solms-wilden row 12 : stettenfels \| lordship \| None \| None \| None \| None ] Execute this SQL based on the above table: select notes where notes != '1258: partitioned into solms-braunfels and solms-burg-solms' and type = ( select type where notes = '1258: partitioned into solms-braunfels and solms-burg-solms' )	to saxe-eisenach to brandenburg-ansbach to prussia, partitioned from solms-wildenfels
[ header: team \| seasons \| games \| wins \| ties \| losses \| goals for \| goals against \| goal diff \| points row 1 : montreal canadiens \| 94 \| 6,120 \| 3,135 \| 837 \| 2,148 \| 19,929 \| 16,416 \| 3,513 \| 7,203 row 2 : boston bruins \| 87 \| 5,960 \| 2,856 \| 791 \| 2,313 \| 19,109 \| 17,459 \| 1,650 \| 6,609 row 3 : philadelphia flyers \| 44 \| 3,506 \| 1,756 \| 457 \| 1,293 \| 11,783 \| 10,270 \| 1,513 \| 4,060 row 4 : buffalo sabres \| 41 \| 3,280 \| 1,569 \| 409 \| 1,302 \| 10,868 \| 9,875 \| 993 \| 3,630 row 5 : los angeles kings \| 44 \| 3,506 \| 1,428 \| 424 \| 1,654 \| 11,306 \| 12,016 \| -710 \| 3,373 row 6 : vancouver canucks \| 41 \| 3,280 \| 1,353 \| 391 \| 1,536 \| 10,378 \| 1,1024 \| -646 \| 3,179 row 7 : washington capitals \| 37 \| 2,968 \| 1,305 \| 303 \| 1,360 \| 9,407 \| 9,739 \| -332 \| 3,004 row 8 : new jersey devils (kansas \| 37 \| 2,968 \| 1,260 \| 328 \| 1380 \| 8,931 \| 9,590 \| -659 \| 2,915 row 9 : colorado avalanche (que \| 32 \| 2,568 \| 1,174 \| 261 \| 1,133 \| 8,564 \| 8,417 \| 147 \| 2,681 row 10 : phoenix coyotes (win \| 32 \| 2,568 \| 1,063 \| 266 \| 1,239 \| 8,058 \| 8,809 \| -756 \| 2,473 row 11 : carolina hurricanes (hartford whaler \| 32 \| 2,568 \| 1,049 \| 263 \| 1,256 \| 7,808 \| 8,599 \| -791 \| 2,447 row 12 : san jose sharks \| 20 \| 1,608 \| 721 \| 121 \| 766 \| 4,553 \| 4,744 \| -191 \| 1,657 row 13 : ottawa senators \| 19 \| 1,528 \| 679 \| 115 \| 734 \| 4,401 \| 4,506 \| -105 \| 1,556 row 14 : anaheim ducks \| 18 \| 1,444 \| 638 \| 107 \| 699 \| 3,863 \| 4,021 \| -158 \| 1,477 row 15 : tampa bay lightning \| 19 \| 1,528 \| 588 \| 112 \| 828 \| 4,058 \| 4,842 \| -784 \| 1,384 row 16 : minnesota wild \| 11 \| 902 \| 405 \| 55 \| 442 \| 2,259 \| 2,338 \| -79 \| 945 row 17 : winnipeg jets (atlant \| 12 \| 984 \| 379 \| 45 \| 550 \| 2,690 \| 3,260 \| -570 \| 891 row 18 : new york americans (1925-1941) \| 17 \| 784 \| 255 \| 127 \| 402 \| 1,643 \| 2,182 \| -539 \| 637 row 19 : montreal maroons \| 14 \| 622 \| 271 \| 91 \| 260 \| 1,474 \| 1,405 \| 69 \| 633 row 20 : quebec bulldogs (1919-1920 \| 6 \| 150 \| 51 \| 1 \| 98 \| 505 \| 652 \| -147 \| 103 row 21 : montreal wanderers \| 1 \| 6 \| 1 \| 0 \| 5 \| 17 \| 35 \| -18 \| 2 ] Execute this SQL based on the above table: select ( select losses where team = 'tampa bay lightning' ) - ( select losses where team = 'los angeles kings' )	-826.0
[ header: 2011 rank \| 2010 rank \| 2009 rank \| 2008 rank \| 2007 rank \| company (country) \| 2011 arms sales (us$ m.) \| 2010 arms sales (us$ m.) \| 2009 arms sales (us$ m.) \| 2008 arms sales (us$ m.) \| 2007 arms sales (us$ m.) \| arms sales as share of company's total sales (%), row 1 : 1 \| 1 \| 1 \| 2 \| 3 \| lockheed martin \| 36270 \| 35730 \| 33430 \| 29880 \| 29400 \| 78 row 2 : 2 \| 3 \| 3 \| 3 \| 1 \| boeing \| 31830 \| 31360 \| 32300 \| 29200 \| 30480 \| 46 row 3 : 3 \| 2 \| 2 \| 1 \| 2 \| bae systems \| 29150 \| 32880 \| 33250 \| 32420 \| 29860 \| 95 row 4 : 4 \| 5 \| 5 \| 5 \| 5 \| general dynamics \| 23760 \| 23940 \| 25590 \| 22780 \| 21520 \| 73 row 5 : 5 \| 6 \| 6 \| 6 \| 6 \| raytheon \| 22470 \| 22980 \| 21030 \| 23080 \| 19540 \| 90 row 6 : 6 \| 4 \| 4 \| 4 \| 4 \| northrop grumman \| 21390 \| 28150 \| 27000 \| 26090 \| 24600 \| 81 row 7 : 7 \| 7 \| 7 \| 7 \| 7 \| airbus group \| 16390 \| 16360 \| 17900 \| 15930 \| 13100 \| 24 row 8 : 8 \| 8 \| 8 \| 8 \| 9 \| finmeccanica \| 14560 \| 14410 \| 13280 \| 13020 \| 9850 \| 60 row 9 : 9 \| 9 \| 9 \| 9 \| 8 \| l-3 communications \| 12520 \| 13070 \| 13010 \| 12160 \| 11240 \| 83 row 10 : 10 \| 10 \| 10 \| 11 \| 11 \| united technologies corporation \| 11640 \| 11410 \| 11110 \| 9980 \| 8760 \| 20 row 11 : 11 \| 11 \| 11 \| 10 \| 10 \| thales group \| 9480 \| 9950 \| 10200 \| 10760 \| 9350 \| 52 row 12 : 12 \| 12 \| 12 \| 12 \| 12 \| saic \| 7940 \| 8230 \| 8030 \| 7350 \| 6250 \| 75 row 13 : 13 \| None \| None \| None \| None \| huntington ingalls industries \| 6380 \| None \| None \| None \| None \| 97 row 14 : 14 \| 15 \| 14 \| 15 \| 15 \| honeywell \| 5280 \| 5400 \| 5380 \| 5310 \| 5020 \| 14 row 15 : 15 \| 16 \| 16 \| 25 \| 14 \| safran \| 5240 \| 4800 \| 4740 \| 3020 \| 5230 \| 32 row 16 : 16 \| 14 \| 13 \| 14 \| 13 \| computer sciences corp \| 4860 \| 5940 \| 6050 \| 5710 \| 5420 \| 31 row 17 : 17 \| 17 \| 19 \| 17 \| 17 \| rolls-royce \| 4670 \| 4330 \| 4140 \| 4720 \| 4580 \| 26 row 18 : 18 \| 21 \| None \| None \| None \| united aircraft corporation \| 4440 \| 3440 \| None \| None \| None \| 80 row 19 : 19 \| 13 \| 27 \| 37 \| 45 \| oshkosh corporation \| 4370 \| 7080 \| 2770 \| 2070 \| 1570 \| 58 row 20 : 20 \| 18 \| 18 \| 22 \| 20 \| general electric \| 4100 \| 4300 \| 4700 \| 3650 \| 3460 \| 3 row 21 : 21 \| 19 \| 17 \| 16 \| 19 \| itt corp \| 4020 \| 4000 \| 4730 \| 5170 \| 3850 \| 69 row 22 : 22 \| 20 \| 22 \| 18 \| 23 \| almaz-antey \| 3690 \| 3950 \| 3260 \| 4340 \| 2780 \| 85 ] Execute this SQL based on the above table: select count ( company (country) ) where company (country) = 769	0
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select count ( origin ) where no. < 7	6
[ header: year \| author \| illustrator \| title \| publisher row 1 : 1982 \| angela carter (ed. and translator \| michael foreman \| sleeping beauty and other favourite fairy tales \| v. gollancz row 2 : 1983 \| anthony browne \| browne \| gorilla \| julia macrae row 3 : 1984 \| john burningham \| burningham \| granpa \| j. cape row 4 : 1985 \| ted hughes (1968) \| andrew davidson \| the iron man \| faber row 5 : 1986 \| allan ahlberg \| janet ahlberg \| the jolly postman \| heinemann row 6 : 1987 \| charles causley \| charles keeping \| jack the treacle eater \| macmillan row 7 : 1988 \| lewis carroll (1865) \| anthony browne \| alice's adventures in wonderland \| julia macrae row 8 : 1989 \| martin waddell \| barbara firth \| the park in the dark \| walker row 9 : 1990 \| quentin blake \| blake \| all join in \| j. cape row 10 : 1991 \| colin mcnaughton \| mcnaughton \| have you seen who's just moved in next \| walker row 11 : 1992 \| raymond briggs \| briggs \| the man \| julia macrae row 12 : 1993 \| karen wallace \| mike bostock \| think of an eel \| walker row 13 : 1994 \| trish cooke \| helen oxenbury \| so much \| walker row 14 : 1995 \| kathy henderson \| patrick benson \| the little boat \| walker row 15 : 1996 \| babette cole \| cole \| drop dead \| j. cape row 16 : 1997 \| william mayne \| jonathan heale \| lady muck \| heinemann row 17 : 1998 \| anthony browne \| browne \| voices in the park \| doubleday row 18 : 1999 \| lewis carroll (1865) \| helen oxenbury \| alice's adventures in wonderland \| walker ] Execute this SQL based on the above table: select abs ( ( select count ( * ) where title = 'the jolly postman' ) - ( select count ( * ) where title = 'voices in the park' ) )	0
[ header: date \| opponent \| home/away \| field \| result row 1 : june 2 \| lizards \| away \| hofstra stadium \| l 8-21 row 2 : june 7 \| pride \| away \| commerce bank ballpark \| l 7-12 row 3 : june 15 \| cannons \| home \| the ballpark at harbor yard \| l 18-19 ot row 4 : june 21 \| bayhawks \| home \| dunning field \| l 7-15 row 5 : june 22 \| bayhawks \| away \| ravens stadium \| w 15-12 row 6 : june 28 \| lizards \| home \| the ballpark at harbor yard \| l 20-21 ot row 7 : july 6 \| pride \| home \| the ballpark at harbor yard \| l 16-17 ot row 8 : july 12 \| rattlers \| away \| frontier field \| l 5-15 row 9 : july 18 \| cannons \| away \| cawley memorial stadium \| l 13-22 row 10 : july 25 \| rattlers \| home \| the ballpark at harbor yard \| l 12-16 row 11 : july 27 \| cannons \| away \| cawley memorial stadium \| w 19-17 row 12 : july 31 \| lizards \| home \| the ballpark at harbor yard \| w 15-13 row 13 : august 9 \| cannons \| home \| the ballpark at harbor yard \| l 15-17 row 14 : august 17 \| lizards \| away \| hofstra stadium \| l 11-18 ] Execute this SQL based on the above table: select result where result != 'w 15-13' and opponent = ( select opponent where result = 'w 15-13' )	l 8-21, l 20-21 ot, l 11-18
[ header: stage \| date \| route \| terrain \| length \| winner row 1 : 1a \| 30 june \| leiden - st willebro \| plain stage \| 135 km (84 mi) \| jan raas (ne row 2 : 1b \| 30 june \| st willebrord - \| plain stage \| 100 km (62 mi) \| walter planckaert (bel row 3 : 2 \| 1 july \| brussel - st amand \| plain stage \| 199 km (124 mi) \| jacques esclassan (f row 4 : 3 \| 2 july \| st amand les eaux - \| plain stage \| 244 km (152 mi) \| klaus-peter thaler ( row 5 : 4 \| 3 july \| evreux - caen \| team time trial \| 153 km (95 mi) \| ti-raleigh row 6 : 5 \| 4 july \| caen - maze montgeoffroy \| plain stage \| 244 km (152 mi) \| freddy maertens (bel) row 7 : 6 \| 5 july \| maze montgeoffroy - poit \| plain stage \| 162 km (101 mi) \| sean kelly (ire) row 8 : 7 \| 6 july \| poitiers - bordeaux \| plain stage \| 242 km (150 mi) \| freddy maertens (bel) row 9 : 8 \| 7 july \| st emilion - \| individual time trial \| 59 km (37 mi) \| bernard hinault (fra row 10 : 9 \| 8 july \| bordeaux - biarritz \| plain stage \| 233 km (145 mi) \| miguel maria lasa (es row 11 : 14 \| 14 july \| besse en chandesse \| individual time trial \| 52 km (32 mi) \| joop zoetemel row 12 : 15 \| 15 july \| st dier d'auver \| hilly stage \| 196 km (122 mi) \| bernard hinault (fra row 13 : 17 \| 18 july \| grenoble - morzine \| stage with mountain(s) \| 225 km (140 mi) \| christian seznec row 14 : 19 \| 20 july \| lausanne - belfort \| plain stage \| 182 km (113 mi) \| marc demeyer (bel) row 15 : 20 \| 21 july \| metz - nancy \| individual time trial \| 72 km (45 mi) \| bernard hinault (fra row 16 : 22 \| 23 july \| st germain en laye \| plain stage \| 162 km (101 mi) \| gerrie knetemann (n ] Execute this SQL based on the above table: select terrain order by id desc limit 1	plain stage
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select density (inhabitants/km2) order by area (km2) desc limit 1	461.8
[ header: year \| total \| romanians \| hungarians \| roma row 1 : 1850 \| 4,541 \| 69.3% \| 23.9% \| 6.5% row 2 : 1880 \| 4,636 \| 63.0% \| 30.2% \| None row 3 : 1890 \| 5,499 \| 62.7% \| 31.6% \| None row 4 : 1900 \| 5,553 \| 64.3% \| 29.7% \| None row 5 : 1910 \| 6,234 \| 64.6% \| 30.4% \| None row 6 : 1920 \| 5,887 \| 71.6% \| 27.9% \| None row 7 : 1930 \| 6,456 \| 70.5% \| 22.8% \| 2.6% row 8 : 1941 \| 6,981 \| 78.3% \| 19.4% \| None row 9 : 1956 \| 6,649 \| 74.7% \| 19.0% \| 6.0% row 10 : 1966 \| 6,991 \| 80.9% \| 17.3% \| 1.7% row 11 : 1977 \| 7,089 \| 78.1% \| 16.9% \| 4.9% row 12 : 1992 \| 5,723 \| 74.1% \| 14.2% \| 11.6% row 13 : 2002 \| 5,506 \| 74.4% \| 12.0% \| 13.6% row 14 : 2011 \| 4,574 \| 70.7% \| 11.2% \| 17.9% ] Execute this SQL based on the above table: select romanians order by year asc limit 1	69.3%
[ header: year \| show \| role \| channel \| notes row 1 : 2004 \| mtv roadies season 2 \| contestant \| mtv india \| winner of mtv roadies season 2 row 2 : 2007 \| kayamath \| saket shergil \| star plus \| None row 3 : 2008 \| pepsi mtv wass \| video jockey \| mtv india \| co-hosted the show with mt row 4 : 2008 \| mtv fully faltoo movie- \| fakir lan \| mtv \| spoof of shahrukh row 5 : 2008 \| mtv fully faltoo movie- \| prince jalebi \| mtv \| spoof of the movie jodha row 6 : 2008 \| mtv roadies hell down under \| anchor \| mtv india \| anchor at the auditions only row 7 : 2008 \| ek thi rajkumari \| antagonist \| zee next \| antagonist row 8 : 2008-09 \| fantastic 5 \| video jockey \| mtv india \| None row 9 : 2009 \| india's got talent season 1 \| anchor \| colors tv \| co-hosted the show with nikh row 10 : 2009 \| kurkure desi beats rock on \| anchor \| mtv india \| anchor at the auditions only row 11 : 2008 \| mtv roadies season 7 \| anchor \| mtv india \| anchor at the auditions only row 12 : 2009 \| stripped \| anchor \| mtv india \| None row 13 : 2009 \| amul music ka maha muqq \| anchor \| star plus \| None row 14 : 2010 \| extra innings t20 for indian premier league \| presenter \| set max \| co-hosted the show with gaurav row 15 : 2010 \| india's got talent season 2 \| anchor \| colors tv \| co-hosted the show with nikh row 16 : 2010 \| kurkure desi beats rock on \| anchor \| mtv india \| co-hosted the show with lis row 17 : 2010 - present \| airtel super star buzz \| anchor \| star plus \| None row 18 : 2011 \| mtv grind \| anchor \| mtv india \| None row 19 : 2011 \| mtv roadies season 8 graveyard \| anchor \| mtv india \| None row 20 : 2011 \| just dance \| anchor \| star plus \| winner, indian television academy award for best anchor ] Execute this SQL based on the above table: select role where show = 'kurkure desi beats rock on with mtv season 2'	anchor
[ header: party \| active voters \| inactive voters \| total voters \| percentage row 1 : democratic \| 3683 \| 251 \| 3934 \| 36.93% row 2 : republican \| 1322 \| 78 \| 1400 \| 13.14% row 3 : unaffiliated \| 4709 \| 606 \| 5315 \| 49.90% row 4 : minor parties \| 3 \| 0 \| 3 \| 0.03% row 5 : total \| 9717 \| 935 \| 10652 \| 100% ] Execute this SQL based on the above table: select count ( party ) where party = 'republican'	1
[ header: riding \| candidate \| gender \| residence \| occupation \| votes \| % \| rank \| biographical notes row 1 : cape breton-canso \| mark macneill \| m \| inverness \| government and business policy advisor \| 7660 \| 21.1 \| 3rd \| served in ottawa as a row 2 : central nova \| mary louise lorefice \| f \| antigonish \| retired educator \| 7659 \| 19.6 \| 3rd \| lorefice is a retired teacher row 3 : cumberland-colchester-musquod \| karen olsson \| f \| north river \| stay-at-home mother \| 4874 \| 12.3 \| 2nd \| None row 4 : dartmouth-cole harbour \| brad pye \| m \| ottawa, on \| senior political party program officer \| 12793 \| 31.5 \| 2nd \| pye is an international development worker and row 5 : halifax \| megan leslie \| f \| halifax \| community legal worker \| 19252 \| 42.7 \| 1st \| None row 6 : halifax west \| tamara lorincz \| f \| halifax \| director of nova scotia environment \| 12201 \| 29.6 \| 2nd \| an environmentalist row 7 : kings-hants \| carol e. harris \| f \| wolfville \| university professor \| 8291 \| 22 \| 3rd \| she was the ndp's candidate in row 8 : sackville-eastern shore \| peter stoffer \| m \| windsor junction \| parliamentarian \| 24279 \| 61.4 \| 1st \| stoffer has been the incumbent mp since row 9 : south shore-st. margaret \| gordon s. earle \| m \| upper tantallon \| retired public servant \| 13456 \| 33.7 \| 2nd \| earle is the former federal mp for row 10 : sydney-victoria \| wayne mckay \| m \| sydney \| teacher \| 8559 \| 24.4 \| 2nd \| None row 11 : west nova \| george barron \| m \| bear river \| paramedic \| 7097 \| 16.9 \| 3rd \| barron was born near paris, on ] Execute this SQL based on the above table: select % where rank = '2nd'	12.3, 31.5, 29.6, 33.7, 24.4
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select origin where origin in ( 'mangalore central' , 'mangalore central' ) and no. > 2	mangalore central, mangalore central, mangalore central, mangalore central, mangalore central, mangalore central
[ header: pos \| class \| no \| team \| drivers \| chassis \| engine row 1 : 32 \| s 2.0 \| 27 \| societe roc \| laurent ferrier xavier la \| lola t294 \| roc-simca 2.0l i row 2 : 33 \| s 2.0 \| 29 \| societe roc \| pierre-marie painvin franz \| lola t292 \| roc-simca 2.0l i row 3 : 34 \| s 3.0 \| 3 \| christian poirot \| christian poirot gerard \| porsche 908/2 \| porsche 3.0l flat-8 row 4 : 35 \| gt \| 59 \| gelo racing team \| tim schenken howden ganley \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 5 : 36 \| s 3.0 \| 1 \| wicky racing team \| max cohen-olivar philippe \| porsche 908/2 \| porsche 3.0l flat-8 row 6 : 39 \| t \| 98 \| auto mazda claude bouche \| claude bouchet jean rondeau \| mazda rx-3 \| mazda 12a 1.2l 2- row 7 : 40 \| gt \| 57 \| ganto racing \| john rulon-miller tom \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 8 : 41 \| gt \| 60 \| gelo racing team \| toine hezemans manfred \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 9 : 42 \| gt \| 68 \| guy verrier \| guy verrier florian vetsch jean- \| porsche 911 carrera rs \| porsche 3.0l flat-6 row 10 : 43 \| gt \| 7 \| beurlys international auto \| pietro polese "willer" \| de tomaso pantera \| ford 5.8l v8 row 11 : 45 \| s 2.0 \| 26 \| elf switzerland \| marie-claude charmasson \| renault-alpine a44 \| renault 2.0l v6 row 12 : 46 \| s 3.0 \| 18 \| sigma automotive co. ltd \| hiroshi fushida har \| sigma mc75 \| toyota 2.3l turbo row 13 : 47 \| gt \| 16 \| joest racing / teber \| clemens schickentanz hartwig \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 14 : 48 \| gt \| 96 \| bonnemaison - thiaw \| lucien nageotte gerard pic \| porsche 911 carrera rsr \| porsche 3.0l flat-6 row 15 : 50 \| s 3.0 \| 97 \| gitanes automobiles ligier \| jean-pierre beltoise \| ligier js2 \| maserati 3.0l v6 row 16 : 52 \| s 2.0 \| 40 \| philippe mettetal \| jean ragnotti michel latest \| tecma 755 \| ford 1.8l i4 row 17 : 53 \| gt ser \| 83 \| jean-yves gadal \| jean-yves gadal " \| porsche 911 carrera rs \| porsche 2.6l flat-6 ] Execute this SQL based on the above table: select chassis order by pos desc limit 1	porsche 911 carrera rs
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select nationality order by round desc limit 1	united states
[ header: week \| start date \| type \| tournament \| surface \| town \| country \| continent \| prize money row 1 : 35 \| october 24 \| premier wta tour championships \| sony ericsson championships \| hard \| istanbul \| turkey \| europe \| $4,550,000 row 2 : 9 \| march 21 \| premier mandatory \| sony ericsson open \| hard \| key biscayne \| united states \| north america \| $4,500,000 row 3 : 32 \| october 3 \| premier mandatory \| china open \| hard \| beijing \| china \| asia \| $4,500,000 row 4 : 14 \| may 9 \| premier 5 \| internazionali bnl \| clay \| rome \| italy \| europe \| $2,000,000 row 5 : 26 \| august 15 \| premier 5 \| western & southern financial group women's open \| hard \| cincinnati \| united states \| north america \| $2,000,000 row 6 : 10 \| april 4 \| premier 700 \| family circle cup \| clay \| charleston \| united states \| north america \| $700,000 row 7 : 24 \| august 1 \| premier 700 \| mercury insurance open \| hard \| san diego \| united states \| north america \| $700,000 row 8 : 15 \| may 16 \| premier 600 \| brussels open \| clay \| brussels \| belgium \| europe \| $618,000 row 9 : 34 \| october 17 \| premier 600 \| kremlin cup \| hard (i) \| moscow \| russia \| europe \| $1,000,000 row 10 : 36 \| october 31 \| international wta tour championships \| commonwealth bank tournament of champions \| hard (i) \| sofia \| bulgaria \| europe \| $750,000 row 11 : 1 \| january 1 \| international \| shenzhen open \| hard \| shenzhen \| china \| asia \| $500,000 row 12 : 1 \| january 3 \| international \| brisbane international \| hard \| brisbane \| australia \| oceania \| $220,000 row 13 : 5 \| february 14 \| international \| xix copa bbva col \| clay \| bogota \| colombia \| south america \| $220,000 row 14 : 11 \| april 18 \| international \| grand prix de sar la princesse la \| clay \| fes \| morocco \| africa \| $220,000 row 15 : 12 \| april 25 \| international \| estoril open \| clay \| estoril \| portugal \| europe \| $220,000 row 16 : 17 \| june 6 \| international \| e-boks sony eric \| hard \| copenhagen \| denmark \| europe \| $220,000 row 17 : 21 \| july 11 \| international \| internazionali femmin \| clay \| palermo \| italy \| europe \| $220,000 row 18 : 30 \| september 19 \| international \| hansol korea open \| hard \| seoul \| south korea \| asia \| $220,000 row 19 : 33 \| october 10 \| international \| hp japan women's open tennis \| hard \| osaka \| japan \| asia \| $220,000 row 20 : 34 \| october 17 \| international \| bgl bnp pari \| hard (i) \| luxembourg \| luxembourg \| europe \| $220,000 ] Execute this SQL based on the above table: select tournament group by tournament order by count ( * ) desc limit 1	xix copa bbva colsanitas
[ header: season \| date \| location \| discipline \| place row 1 : 2007 \| 18 mar 2007 \| lenzerheide, switze \| giant slalom \| 2nd row 2 : 2009 \| 10 jan 2009 \| maribor, slovenia \| giant slalom \| 3rd row 3 : 2010 \| 28 nov 2009 \| aspen, usa \| giant slalom \| 1st row 4 : 2010 \| 28 dec 2009 \| lienz, austria \| giant slalom \| 1st row 5 : 2010 \| 24 jan 2010 \| cortina d'ampezzo \| giant slalom \| 3rd row 6 : 2010 \| 11 mar 2010 \| garmisch, germany \| giant slalom \| 2nd row 7 : 2011 \| 23 oct 2010 \| solden, austria \| giant slalom \| 2nd row 8 : 2011 \| 27 nov 2010 \| aspen, usa \| giant slalom \| 3rd row 9 : 2011 \| 28 dec 2010 \| semmering, austria \| giant slalom \| 3rd ] Execute this SQL based on the above table: select max ( season )	2011
[ header: finished \| horse \| jockey \| trainer \| owner \| time / behind row 1 : 1st \| spokane \| tom kiley \| john rodegap \| noah armstrong \| 2:34.50 row 2 : 2nd \| proctor knott \| s. barnes \| None \| scoggan & bryant \| nose row 3 : 3rd \| once again \| isaac murphy \| None \| milton young \| 2 row 4 : 4th \| hindoocraft \| armstrong \| None \| scoggan bros \| 1 row 5 : 5th \| cassius \| f. taral \| None \| beverwyck stable \| 1 row 6 : 6th \| sportsman \| i. lewis \| None \| j.k. megibb \| 1/2 row 7 : 7th \| outbound \| hollis \| None \| fleetwood stable \| None row 8 : 8th \| bootmaker \| warwick \| None \| wilson & young \| None ] Execute this SQL based on the above table: select count ( distinct jockey ) where owner = 'beverwyck stable'	1
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| china \| 10 \| 5 \| 1 \| 16 row 2 : 2 \| north korea \| 3 \| 3 \| 4 \| 10 row 3 : 3 \| japan \| 1 \| 3 \| 3 \| 7 row 4 : 4 \| chinese taipei \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| hong kong \| 0 \| 1 \| 0 \| 1 row 6 : 6 \| south korea \| 0 \| 0 \| 3 \| 3 row 7 : 7 \| india \| 0 \| 0 \| 1 \| 1 row 8 : 7 \| kazakhstan \| 0 \| 0 \| 1 \| 1 row 9 : 7 \| syria \| 0 \| 0 \| 1 \| 1 row 10 : total \| total \| 15 \| 13 \| 15 \| 43 ] Execute this SQL based on the above table: select count ( * ) where nation = 754	0
[ header: dates \| location \| attendance \| official guests \| notes row 1 : august 3-5, 1973 \| pick-congress hotel \| None \| none \| known as nostalgia '73, 2nd annual row 2 : july 5-7, 1985 \| ramada o'hare \| None \| guest of honor: sergio aragones \| 10th anniversary chicago comicon row 3 : july 17-19, 1998 \| rosemont convention center \| 25000 \| guest of honor: todd mc \| None row 4 : august 5-7, 2005 \| rosemont convention center \| None \| None \| None row 5 : august 9-12, 2012 \| donald e. stephens convention \| None \| william shatner, jer \| None ] Execute this SQL based on the above table: select ( select attendance where location = 'rosemont convention center' ) - ( select attendance where location = 'rosemont convention center' )	0
[ header: \| 'be' \| 'remain' \| 'give' \| 'save' row 1 : 1st sg \| esmi \| liekmi \| duomi \| gelbmi row 2 : 2nd sg \| esi \| lieksi \| duosi \| gelbsi row 3 : 3rd sg \| est(i) \| liekt(i) \| duost(i) \| gelbt(i) row 4 : 1st dual \| esva \| liekva \| duova \| gelbva row 5 : 2nd dual \| esta \| liekta \| duosta \| gelbta row 6 : 1st pl \| esme \| liekme \| duome \| gelbme row 7 : 2nd pl \| este \| liekte \| duoste \| gelbte row 8 : 3rd pl \| esti \| liekt(i) \| duost(i) \| gelbt(i) ] Execute this SQL based on the above table: select count ( * ) where 'save' = 1124	0
[ header: # \| air date \| timeslot (est) \| season \| rating \| share \| 18-49 (rating/share) \| viewers (m) \| weekly rank (#) row 1 : 1 \| march 2, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 9.4 \| 14 \| 5.3/12 \| 15.55 \| 4 row 2 : 2 \| march 9, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.4 \| 11 \| 4.1/10 \| 11.83 \| 10 row 3 : 3 \| march 16, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6 \| 9 \| 3.6/9 \| 9.71 \| 18 row 4 : 4 \| march 23, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 6.1 \| 10 \| 3.5/9 \| 9.92 \| 19 row 5 : 5 \| march 30, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 7.1 \| 11 \| 3.9/9 \| 11.35 \| 13 row 6 : 6 \| april 6, 2008 \| sunday 9:00 p.m \| 2007-2008 \| 5.9 \| 9 \| 3.2/8 \| 9.42 \| 27 row 7 : 7 \| april 13, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 5.6 \| 9 \| 2.9/9 \| 8.88 \| 19 row 8 : 8 \| april 20, 2008 \| sunday 8:00 p.m \| 2007-2008 \| 6.4 \| 10 \| 3.2/9 \| 10.03 \| None ] Execute this SQL based on the above table: select air date where id <= 1842	march 2, 2008, march 9, 2008, march 16, 2008, march 23, 2008, march 30, 2008, april 6, 2008, april 13, 2008, april 20, 2008
[ header: date \| pos. \| name \| from \| fee row 1 : 27 june 2007 \| df \| aaron hughes \| aston villa \| £1,000,000 row 2 : 5 july 2007 \| mf \| steven davis \| aston villa \| £4,000,000 row 3 : 9 july 2007 \| fw \| diomansy kamara \| west bromwich albion \| £6,000,000 row 4 : 12 july 2007 \| df \| chris baird \| southampton \| £3,035,000 row 5 : 13 july 2007 \| fw \| david healy \| leeds united \| £1,500,000 row 6 : 13 july 2007 \| df \| paul konchesky \| west ham \| £3,250,000 row 7 : 19 july 2007 \| mf \| lee cook \| qpr \| £2,500,000 row 8 : 4 august 2007 \| mf \| adrian leijer \| melbourne victory \| undisclosed row 9 : 8 august 2007 \| df \| hameur bouazza \| watford \| £3,000,000 row 10 : 23 august 2007 \| gk \| kasey keller \| borussia monchengladbach \| free row 11 : 30 august 2007 \| df \| nathan ashton \| unattached \| free row 12 : 31 august 2007 \| fw \| shefki kuqi \| crystal palace \| loan row 13 : 31 august 2007 \| mf \| danny murphy \| tottenham hotspur \| loan row 14 : 31 august 2007 \| mf \| seol ki-hyeon \| reading \| undisclosed row 15 : 31 august 2007 \| df \| dejan stefanovic \| portsmouth \| £1,000,000 ] Execute this SQL based on the above table: select pos. where pos. = 'df'	df, df, df, df, df, df
[ header: rank \| bib \| name \| country \| run 1 \| rank \| run 2 \| rank \| total \| difference row 1 : None \| 10 \| andrea rothfuss \| germany \| 49.38 \| 1 \| 50.6 \| 1 \| 1:39.98 \| None row 2 : None \| 12 \| petra smarzova \| slovakia \| 52.5 \| 3 \| 51.22 \| 2 \| 1:43.72 \| 3.74 row 3 : None \| 11 \| karolina wisniew \| canada \| 52.17 \| 2 \| 53.36 \| 4 \| 1:45.53 \| 5.55 row 4 : 4 \| 15 \| melania corradini \| italy \| 54.72 \| 5 \| 52.95 \| 3 \| 1:47.67 \| 7.69 row 5 : 5 \| 13 \| solene jambaque \| france \| 53.95 \| 4 \| 54.68 \| 5 \| 1:48.63 \| 8.65 row 6 : 6 \| 18 \| mariya papulova \| russia \| 55.35 \| 6 \| 55.96 \| 7 \| 1:51.31 \| 11.33 row 7 : 7 \| 9 \| katja saarinen \| finland \| 56.45 \| 7 \| 55.07 \| 6 \| 1:51.52 \| 11.54 row 8 : 8 \| 14 \| anna jochemsen \| netherlands \| 1:00.09 \| 8 \| 57.21 \| 8 \| 1:57.30 \| 17.32 row 9 : 9 \| 17 \| elena kudyakova \| russia \| 1:00.65 \| 9 \| 1:00.21 \| 9 \| 2:00.86 \| 20.88 row 10 : None \| 16 \| ursula pueyo marimon \| spain \| dnf \| None \| None \| None \| None \| None row 11 : None \| 8 \| danja haslacher \| austria \| dns \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select rank order by total desc limit 1	9.0
[ header: year \| actor \| award \| category \| role \| episode \| result row 1 : 1992 \| nancy cartwright \| primetime emmy award \| outstanding voice-over performance \| bart simpson \| "separate vocations" \| won row 2 : 1992 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "lisa's pony" \| won row 3 : 1992 \| julie kavner \| primetime emmy award \| outstanding voice-over performance \| marge simpson \| "i married marge" \| won row 4 : 1992 \| jackie mason \| primetime emmy award \| outstanding voice-over performance \| rabbi hyman k \| "like father, like clown" \| won row 5 : 1992 \| yeardley smith \| primetime emmy award \| outstanding voice-over performance \| lisa simpson \| "lisa the greek" \| won row 6 : 1992 \| marcia wallace \| primetime emmy award \| outstanding voice-over performance \| edna krabappel \| "bart the lover" \| won row 7 : 1993 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "mr. plow" \| won row 8 : 1995 \| nancy cartwright \| annie award \| voice acting in the field of animation \| bart simpson \| "radio bart" \| won row 9 : 1997 \| maggie roswell \| annie award \| best voice acting by a female performer \| shary bobbins \| "simpsoncalifragilisticex \| nominated row 10 : 1998 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| apu nahasapee \| None \| won row 11 : 2001 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "worst episode ever" \| won row 12 : 2003 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| various \| "moe baby blues" \| won row 13 : 2004 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| various characters \| "today i am a clown" \| won row 14 : 2006 \| kelsey grammer \| primetime emmy award \| outstanding voice-over performance \| sideshow bob \| "the italian bob" \| won row 15 : 2007 \| julie kavner \| annie award \| best voice acting in an animated feature \| marge simpson \| the simpsons movie \| nominated row 16 : 2009 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak \| "eeny teeny maya mo \| nominated row 17 : 2009 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson \| "father knows worst" \| won row 18 : 2009 \| harry shearer \| primetime emmy award \| outstanding voice-over performance \| mr. burns, smithers \| "the burns and the bees" \| nominated row 19 : 2010 \| hank azaria \| primetime emmy award \| outstanding voice-over performance \| moe szyslak, \| "moe letter blues" \| nominated row 20 : 2010 \| dan castellaneta \| primetime emmy award \| outstanding voice-over performance \| homer simpson, grampa \| "thursday with abie" \| nominated ] Execute this SQL based on the above table: select count ( role ) where year = 2009	3
[ header: year \| competition \| venue \| position \| notes row 1 : 1985 \| european indoor championships \| athens, greece \| 1st \| long jump row 2 : 1986 \| european championships \| stuttgart, west germany \| 2nd \| long jump row 3 : 1987 \| european indoor championships \| lievin, france \| 2nd \| long jump row 4 : 1988 \| european indoor championships \| budapest, hungary \| 2nd \| long jump row 5 : 1988 \| summer olympics \| seoul, south korea \| 3rd \| long jump row 6 : 1989 \| european indoor championships \| the hague, netherlands \| 1st \| long jump row 7 : 1989 \| world indoor championships \| budapest, hungary \| 1st \| long jump row 8 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| long jump row 9 : 1990 \| european indoor championships \| glasgow, scotland \| 1st \| triple jump ] Execute this SQL based on the above table: select count ( * )	9
[ header: round \| circuit \| date \| pole position \| winning driver \| winning team \| trophy winner row 1 : 1 \| aci vallelunga circuit, camp \| 7 april \| milos pavlovic \| milos pavlovic \| target racing \| nino fama row 2 : 2 \| misano world circuit \| 28 april \| milos pavlovic \| milos pavlovic \| target racing \| giovanni faraonio row 3 : 3 \| autodromo di pergusa, \| 19 may \| milos pavlovic \| philip cloostermans \| azeta racing \| carmine tancredi row 4 : 4 \| autodromo nazionale monza \| 30 june \| philip cloostermans \| philip cloostermans \| azeta racing \| carmine tancredi row 5 : 5 \| autodromo riccardo paletti \| 21 july \| milos pavlovic \| milos pavlovic \| target racing \| carmine tancredi row 6 : 6 \| autodromo enzo e din \| 1 september \| vitantonio liuzzi \| vitantonio liuzzi \| bertram schafer racing \| silvio alberti row 7 : 7 \| autodromo del levante, \| 8 september \| christiano citron \| milos pavlovic \| target racing \| carmine tancredi row 8 : 8 \| mugello circuit, scarperia \| 6 october \| milos pavlovic \| milos pavlovic \| target racing \| dino lusuardi row 9 : 9 \| autodromo dell'umbria \| 20 october \| andreas zuber \| christiano citron \| target racing \| alberto morelli ] Execute this SQL based on the above table: select winning driver order by round desc limit 1	christiano citron
[ header: artist \| song \| soundtrack \| episode(s) \| notes row 1 : the 88 \| "hide another mistake" \| None \| 3.01 \| row 2 : alexi murdoch \| "all my days" \| None \| 4.03 \| row 3 : april march \| "garcon glacon" \| None \| 4.11 \| row 4 : athlete \| "tourist" \| None \| 2.12 \| row 5 : beulah \| "popular mechanics for lovers" \| mix 2 \| 1.15 \| row 6 : bloc party \| "i still remember" \| None \| 4.14 \| row 7 : the bravery \| "an honest mistake" \| None \| 2.24 \| row 8 : carmen rizzo (featuring \| "travel in time" \| None \| 3.07 \| row 9 : cham pain \| "show me" \| None \| 1.01 \| row 10 : clearlake \| "good clean fun" (nobody remix \| None \| 4.06 \| row 11 : cobra verde \| "get the party started" \| None \| 3.02 \| row 12 : cobra verde \| "waiting for a girl like you" \| None \| 3.17 \| row 13 : damien rice \| "cannonball" \| None \| 1.17 \| row 14 : death cab for cutie \| "a movie script ending" \| None \| 1.07, 2.20 \| row 15 : death cab for cutie \| "the sound of settling" \| None \| 2.2 \| row 16 : firstcom \| "hannukah lights" \| None \| 1.13 \| row 17 : firstcom \| "silent night" \| None \| 1.13, 3.10 \| row 18 : the go find \| "summer quest" \| None \| 2.11 \| row 19 : guster \| "keep it together" \| None \| 1.08 \| row 20 : ian broudie \| "song for no one" \| None \| 3.01 \| row 21 : imogen heap \| "hide and seek" \| mix 5 \| 2.24 \| row 22 : the invisible men \| "make it bounce" \| None \| 3.09 \| row 23 : james horner \| "sing, sing, sing, (with \| None \| 1.03 \| row 24 : jet \| "shine on" \| None \| 4.16 \| row 25 : jimmy eat world \| "last christmas" \| mix 3 \| None \| row 26 : journey \| "open arms" \| None \| 2.08 \| row 27 : juana molina \| "tres cosas" \| None \| 2.2 \| row 28 : the long winters \| "christmas with you is best" \| mix 3 \| None \| row 29 : love as laughter \| "dirty lives" \| None \| 2.23 \| row 30 : the m's \| "come into our room" (clinic \| mix 6 \| None \| row 31 : mastersource \| "something for you" \| None \| 1.21 \| row 32 : mastersource \| "walkin' the walk" \| None \| 1.21 \| row 33 : pennywise \| "knocked down" \| None \| 3.06 \| row 34 : the pogues \| "love you 'till the end \| None \| 4.04 \| row 35 : poster children \| "western springs" \| None \| 2.1 \| row 36 : ranchera all stars \| "pa todo el an \| None \| 4.04 \| row 37 : the shins \| "turn on me" \| None \| 4.1 \| row 38 : soledad brothers \| "cage that tiger" \| None \| 2.22 \| row 39 : youth group \| "start today tomorrow" \| None \| 4.13 \| ] Execute this SQL based on the above table: select count ( song ) where notes = ''	39
[ header: outcome \| no. \| date \| tournament \| surface \| opponent in the final \| score row 1 : runner-up \| 1 \| 2 september 2001 \| mostar \| clay \| adriana basaric \| 4-6, 3-6 row 2 : winner \| 1 \| 27 january 2002 \| courmayeur \| hard \| stefanie weis \| 4-6, 7-6(7-3), row 3 : winner \| 2 \| 17 february 2002 \| bergamo \| hard \| rita degli-esposti \| 6-1, 6-2 row 4 : runner-up \| 2 \| 31 march 2002 \| rome - parioli \| clay \| dinara safina \| 7-6(7-3), 2-6, row 5 : runner-up \| 3 \| 23 june 2002 \| gorizia \| clay \| ainhoa goni-blanco \| 6-7(4-7), 1-6 row 6 : runner-up \| 4 \| 11 august 2002 \| rimini \| clay \| laurence andretto \| 5-7, 4-6 row 7 : winner \| 3 \| 26 january 2003 \| grenoble \| hard \| sophie lefevre \| 7-5, 7-5 row 8 : winner \| 4 \| 16 february 2003 \| southampton \| hard \| magdalena zdenovcova \| 6-1, 3-0, ret row 9 : winner \| 5 \| 23 february 2003 \| redbridge \| hard \| olga barabanschikov \| 6-3, 6-2 row 10 : winner \| 6 \| 23 march 2003 \| castellon \| clay \| ludmila cervanova \| 6-3, 6-3 row 11 : winner \| 7 \| 2 november 2003 \| poitiers \| hard \| roberta vinci \| 6-4, 7-5 row 12 : winner \| 8 \| 1 march 2009 \| biberach \| hard \| kirsten flipkens \| 6-1, 6-2 row 13 : winner \| 9 \| 11 april 2009 \| torhout \| hard \| viktoriya kutuzova \| 6-1, 6-4 row 14 : winner \| 10 \| 11 april 2009 \| mestre \| hard \| yvonne meusburger \| 2-6, 6-2, 6-4 ] Execute this SQL based on the above table: select no. order by no. desc limit 1	10.0
[ header: network \| company \| mobile prefixes \| mobile examples \| landline prefixes \| landline examples \| notes row 1 : beeline \| sotelco ltd \| 031 (+ 7 digits) 060 \| +855 31 234 5678 +85 \| ndc + '46' + \| +855 23 461 2346 +85 \| None row 2 : mobitel \| camgsm co., lt \| 011 (+ 6 digits) 012 \| +855 76 234 5678 + \| None \| None \| also known as cellcard incorporates the former row 3 : cootel \| xinwei (cambodia) \| 038 (+ 7 digits) \| +855 38 383 8380 \| ndc + '47' + \| +855 23 471 2346 +85 \| None row 4 : excell \| gt-tell (cambodia) \| 018 (+ 6 digits) \| +855 18 234 567 \| None \| None \| None row 5 : metfone \| viettel (cambodia) p \| 088 (+ 7 digits) 097 \| +855 88 234 5678 + \| None \| None \| None row 6 : qb \| cambodia advance communications co., l \| 013 (+ 6 digits) 080 \| +855 13 234 567 \| None \| None \| None row 7 : smart \| smart axiata co., l \| 010 (+ 6 digits) 015 \| +855 96 234 5678 + \| ndc + '45' + \| +855 23 451 2346 +85 \| incorporates the former hello axiata ] Execute this SQL based on the above table: select count ( * ) where landline prefixes = 'None'	0
[ header: draw \| artist \| song \| jury \| televote \| total \| place row 1 : 1 \| kasia nova \| "the devil" \| 0 \| 1 \| 1 \| 11 row 2 : 2 \| edi ann \| "lovin'u" \| 7 \| 5 \| 12 \| 4 row 3 : 3 \| izabela kopec \| "you've got my love" \| 4 \| 6 \| 10 \| 6 row 4 : 4 \| starnawski & urban noiz \| "it's not a game" \| 5 \| 0 \| 5 \| 10 row 5 : 5 \| queens \| "i say my body" \| 0 \| 0 \| 0 \| 12 row 6 : 6 \| isis gee \| "for life" \| 12 \| 12 \| 24 \| 1 row 7 : 7 \| man meadow \| "viva la musica" \| 2 \| 10 \| 12 \| 3 row 8 : 8 \| afromental \| "thing we've got" \| 3 \| 4 \| 7 \| 9 row 9 : 9 \| plastic \| "do something" \| 10 \| 2 \| 12 \| 5 row 10 : 10 \| sandra oxenryd \| "superhero" \| 6 \| 3 \| 9 \| 8 row 11 : 11 \| natasza urbanska \| "blow over" \| 8 \| 7 \| 15 \| 2 row 12 : 12 \| margo \| "dlatego walcz" \| 1 \| 8 \| 9 \| 7 ] Execute this SQL based on the above table: select count ( song ) where song is null	0
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select count ( symbol ) where 26th is null	6
[ header: place \| position \| number \| name \| league one \| fa cup \| league cup \| football league trophy \| total row 1 : 1 \| mf \| 4 \| luke summerfield \| 5 \| 0 \| 0 \| 0 \| 5 row 2 : 2 \| mf \| 17 \| paul parry \| 3 \| 0 \| 1 \| 0 \| 4 row 3 : 3 \| fw \| 24 \| tom eaves \| 3 \| 0 \| 0 \| 0 \| 3 row 4 : 4 \| mf \| 11 \| jon taylor \| 1 \| 0 \| 0 \| 1 \| 2 row 5 : 4 \| df \| 5 \| darren jones \| 2 \| 0 \| 0 \| 0 \| 2 row 6 : 4 \| mf \| 23 \| adam reach \| 2 \| 0 \| 0 \| 0 \| 2 row 7 : 4 \| mf \| 22 \| ryan woods \| 2 \| 0 \| 0 \| 0 \| 2 row 8 : 4 \| fw \| 26 \| curtis main \| 2 \| 0 \| 0 \| 0 \| 2 row 9 : 5 \| mf \| 2 \| jermaine grandison \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 5 \| mf \| 8 \| dave mcallister \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 5 \| fw \| 15 \| aaron wildig \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 5 \| fw \| 29 \| asa hall \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 5 \| fw \| 7 \| gozie ugwu \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 5 \| df \| 18 \| connor goldson \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : 5 \| mf \| 10 \| nicky wroe \| 1 \| 0 \| 0 \| 0 \| 1 row 16 : 5 \| fw \| 9 \| tom bradshaw \| 1 \| 0 \| 0 \| 0 \| 1 ] Execute this SQL based on the above table: select count ( * ) where position = 'fw'	6
[ header: season \| tier \| division \| place row 1 : 1992-96 \| 5 \| regional \| None row 2 : 1996/97 \| 4 \| 3a \| 16th row 3 : 1997/98 \| 4 \| 3a \| 5th row 4 : 1998/99 \| 4 \| 3a \| 12th row 5 : 1999/00 \| 4 \| 3a \| 4th row 6 : 2000/01 \| 4 \| 3a \| 6th row 7 : 2001/02 \| 4 \| 3a \| 4th row 8 : 2002/03 \| 4 \| 3a \| 3rd row 9 : 2003/04 \| 3 \| 2ab \| 19th row 10 : 2004/05 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where place != '4th' and tier = ( select tier where place = '4th' )	16th, 5th, 12th, 6th, 3rd, 2nd
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 15 \| sebastian vettel \| red bull-renault \| 56 \| 1:57:43.485 \| 1 \| 10 row 2 : 2 \| 14 \| mark webber \| red bull-renault \| 56 \| 10.97 \| 3 \| 8 row 3 : 3 \| 22 \| jenson button \| brawn-mercedes \| 56 \| 44.975 \| 5 \| 6 row 4 : 4 \| 23 \| rubens barrichello \| brawn-mercedes \| 56 \| +1:03.704 \| 4 \| 5 row 5 : 5 \| 2 \| heikki kovalain \| mclaren-mercedes \| 56 \| +1:05.102 \| 12 \| 4 row 6 : 6 \| 1 \| lewis hamilton \| mclaren-mercedes \| 56 \| +1:11.866 \| 9 \| 3 row 7 : 7 \| 10 \| timo glock \| toyota \| 56 \| +1:14.476 \| 19 \| 2 row 8 : 8 \| 12 \| sebastien buemi \| toro rosso-ferr \| 56 \| +1:16.439 \| 10 \| 1 row 9 : 9 \| 7 \| fernando alonso \| renault \| 56 \| +1:24.309 \| 2 \| None row 10 : 10 \| 4 \| kimi raikkonen \| ferrari \| 56 \| +1:31.750 \| 8 \| None row 11 : 11 \| 11 \| sebastien bourdais \| toro rosso-ferr \| 56 \| +1:34.156 \| 15 \| None row 12 : 12 \| 6 \| nick heidfeld \| bmw sauber \| 56 \| +1:35.834 \| 11 \| None row 13 : 13 \| 5 \| robert kubica \| bmw sauber \| 56 \| +1:46.853 \| 17 \| None row 14 : 14 \| 21 \| giancarlo fisichella \| force india-mercedes \| 55 \| +1 lap \| 20 \| None row 15 : 15 \| 16 \| nico rosberg \| williams-toyota \| 55 \| +1 lap \| 7 \| None row 16 : 16 \| 8 \| nelson piquet, \| renault \| 54 \| +2 laps \| 16 \| None row 17 : 17 \| 20 \| adrian sutil \| force india-mercedes \| 50 \| accident \| 18 \| None row 18 : ret \| 17 \| kazuki nakajima \| williams-toyota \| 43 \| transmission \| 14 \| None row 19 : ret \| 3 \| felipe massa \| ferrari \| 20 \| electrical \| 13 \| None row 20 : ret \| 9 \| jarno trulli \| toyota \| 18 \| collision damage \| 6 \| None ] Execute this SQL based on the above table: select constructor where pos = 14 order by time/retired desc limit 1	force india-mercedes
[ header: year \| film \| language \| character \| co-star \| music \| banner row 1 : 1941 \| bhaktimala \| telugu \| radha \| None \| None \| bhaskar films row 2 : 1941 \| dharmapatni \| tamil \| None \| None \| None \| famous films row 3 : 1944 \| tahsildar \| telugu \| kamala \| None \| None \| None row 4 : 1946 \| gruhapravesam \| telugu \| janaki \| None \| None \| sarati films row 5 : 1947 \| ratnamala \| telugu \| ratnamala \| c. s. r. an \| c. r. subburaman \| bharani pictures row 6 : 1949 \| laila majnu \| telugu \| laila \| a. nageswara r \| c. r. subburaman \| bharani pictures row 7 : 1949 \| apoorva sagodhar \| tamil \| kanchana \| m. k. radha \| s. rajeswara \| gemini studios row 8 : 1951 \| malleeswari \| telugu \| malleeswari \| n. t. rama r \| adepalli rama r \| vijaya studios row 9 : 1951 \| mangala \| hindi \| mangala \| None \| None \| gemini studios row 10 : 1952 \| rani \| tamil \| None \| s. balachander \| c. r. subburaman \| jupiter pictures row 11 : 1952 \| rani \| hindi \| None \| anoop kumar \| c. r. subburaman \| jupiter pictures row 12 : 1953 \| chandirani \| hindi \| champa & chandi \| dilip kumar \| c. r. subburaman \| bharani pictures row 13 : 1957 \| makkalai petra magarasi \| tamil \| rangamma \| sivaji ganesan \| k. v. mahadevan \| sri lakshmi row 14 : 1961 \| batasari \| telugu \| madhavi \| a. nageswara r \| master venu \| bharani pictures row 15 : 1965 \| antastulu \| telugu \| None \| a. nageswara r \| k. v. mahadevan \| None row 16 : 1967 \| grihalakshmi \| telugu \| laxmi \| None \| None \| None row 17 : 1967 \| pattatthu rani \| tamil \| None \| gemini ganesan \| t. k. ramamoorth \| None row 18 : 1984 \| mangamma gari manavadu \| telugu \| mangamma \| None \| None \| None row 19 : 1988 \| attagaru swagatham \| telugu \| None \| None \| None \| None ] Execute this SQL based on the above table: select film order by year desc limit 1	attagaru swagatham
[ header: year \| title \| role \| notes row 1 : 1941 \| the maltese falcon \| kasper gutman \| nominated - academy award for best supporting row 2 : 1941 \| they died with their boots on \| lt. gen. winfield \| None row 3 : 1942 \| across the pacific \| dr. lorenz \| None row 4 : 1942 \| casablanca \| signor ferrari \| None row 5 : 1943 \| background to danger \| col. robinson \| None row 6 : 1944 \| passage to marseille \| major duval \| None row 7 : 1944 \| between two worlds \| rev. tim thompson \| None row 8 : 1944 \| the mask of dimitrios \| mr. peters \| None row 9 : 1944 \| the conspirators \| ricardo quintanilla \| None row 10 : 1944 \| hollywood canteen \| himself \| None row 11 : 1945 \| pillow to post \| col. michael otley \| None row 12 : 1945 \| conflict \| dr. mark hamilton \| None row 13 : 1945 \| christmas in connecticut \| alexander yardley \| None row 14 : 1946 \| three strangers \| jerome k. arbutny \| None row 15 : 1946 \| devotion \| william makepeace thacke \| None row 16 : 1946 \| the verdict \| supt. george e \| None row 17 : 1947 \| that way with women \| james p. alden \| None row 18 : 1947 \| the hucksters \| evan llewellyn \| None row 19 : 1948 \| the velvet touch \| capt. danbury \| None row 20 : 1948 \| ruthless \| buck mansfield \| None row 21 : 1948 \| the woman in white \| count alessandro fosco \| None row 22 : 1949 \| flamingo road \| sheriff titus semple \| None row 23 : 1949 \| malaya \| the dutchman \| None ] Execute this SQL based on the above table: select role where title < ( select title where role = 'buck mansfield' ) order by title desc limit 1	col. michael otley
[ header: year \| division \| league \| regular season \| playoffs \| open cup row 1 : 2004 \| 4 \| usl pdl \| 8th, mid south \| did not qualify \| did not qualify row 2 : 2005 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| did not qualify row 3 : 2006 \| 4 \| usl pdl \| 1st, mid south \| national final \| 1st round row 4 : 2007 \| 4 \| usl pdl \| 1st, mid south \| champions \| did not qualify row 5 : 2008 \| 4 \| usl pdl \| 2nd, mid south \| national final \| did not qualify row 6 : 2009 \| 4 \| usl pdl \| 1st, mid south \| conference finals \| did not qualify row 7 : 2010 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| did not qualify row 8 : 2011 \| 4 \| usl pdl \| 1st, mid south \| national final \| did not qualify row 9 : 2012 \| 4 \| usl pdl \| 1st, mid south \| conference semi-final \| 2nd round row 10 : 2013 \| 4 \| usl pdl \| 2nd, mid south \| conference finals \| 2nd round ] Execute this SQL based on the above table: select regular season where open cup != '1st round'	8th, mid south, 2nd, mid south, 1st, mid south, 2nd, mid south, 1st, mid south, 1st, mid south, 1st, mid south, 1st, mid south, 2nd, mid south
[ header: no \| test no \| 1st team \| 2nd team \| winner \| margin \| toss \| bat \| date row 1 : 1 \| 745 \| india \| west indies \| west indies \| 267 runs \| won \| 2nd \| 22-11-1974 row 2 : 2 \| 794 \| india \| england \| india \| 140 runs \| won \| 1st \| 28-1-1977 row 3 : 3 \| 837 \| india \| west indies \| draw \| None \| lost \| 2nd \| 15-12-1978 row 4 : 4 \| 856 \| india \| australia \| draw \| None \| lost \| 2nd \| 19-9-1979 row 5 : 5 \| 861 \| india \| pakistan \| draw \| None \| lost \| 2nd \| 21-11-1979 row 6 : 6 \| 912 \| india \| england \| draw \| None \| lost \| 2nd \| 9-12-1981 row 7 : 7 \| 961 \| india \| pakistan \| draw \| None \| won \| 1st \| 14-9-1983 row 8 : 8 \| 1073 \| india \| pakistan \| pakistan \| 16 runs \| lost \| 2nd \| 13-3-1987 row 9 : 9 \| 1107 \| india \| new zealand \| india \| 172 runs \| won \| 1st \| 12-11-1988 row 10 : 10 \| 1245 \| india \| sri lanka \| india \| inns & 95 runs \| won \| 1st \| 26-1-1994 row 11 : 11 \| 1308 \| india \| new zealand \| india \| 8 wickets \| lost \| 2nd \| 18-10-1995 row 12 : 12 \| 1413 \| india \| australia \| australia \| 8 wickets \| won \| 1st \| 25-3-1998 row 13 : 13 \| 1486 \| india \| south africa \| south africa \| inns & 71 runs \| won \| 1st \| 2-3-2000 row 14 : 14 \| 1578 \| india \| england \| draw \| None \| lost \| 2nd \| 19-12-2001 row 15 : 15 \| 1713 \| india \| australia \| australia \| 217 runs \| lost \| 2nd \| 6-10-2004 row 16 : 16 \| 1743 \| india \| pakistan \| pakistan \| 168 runs \| lost \| 2nd \| 24-3-2005 row 17 : 17 \| 1852 \| india \| pakistan \| draw \| None \| won \| 1st \| 8-12-2007 row 18 : 18 \| 1887 \| india \| australia \| draw \| None \| lost \| 2nd \| 9-10-2008 row 19 : 19 \| 1973 \| india \| australia \| india \| 7 wickets \| lost \| 2nd \| 9-10-2010 row 20 : 20 \| 2055 \| india \| new zealand \| india \| 5 wickets \| lost \| 2nd \| 25-5-2008 ] Execute this SQL based on the above table: select winner where winner != 'draw' and bat = ( select bat where winner = 'draw' )	west indies, pakistan, india, australia, pakistan, india, india
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select party where votes > 731	australian labor party, liberal and country league, nationals sa, independent, other, total
[ header: season \| north \| south \| east \| west row 1 : 2000-01 \| ehc regensburg \| sb rosenheim \| deggendorfer sc ii \| ev landsberg row 2 : 2001-02 \| bts bayreuth \| tus geretsried i \| deggendorfer sc ii \| tsv kottern row 3 : 2002-03 \| ec bayreuth \| sc riessersee i \| tsv erding jets \| tsv peißenberg row 4 : 2003-04 \| ehc ingolstadt ii \| esc holzkirchen \| ehf passau \| tsv kottern row 5 : 2004-05 \| ver selb \| eac bad reichenhall \| se freising \| erc lechbruck row 6 : 2005-06 \| ec bad kissingen \| ehc munchen ii \| esv waldkirchen \| ev bad worishofen row 7 : 2006-07 \| ehc bayreuth \| esc geretsried \| esv gebensbach \| vfl denklingen row 8 : 2007-08 \| ec amberg \| sc gaißach \| ev bruckberg \| esc kempten row 9 : 2008-09 \| erc ingolstadt \| tsv schliersee \| esv waldkirchen \| 1. ec senden ] Execute this SQL based on the above table: select south order by west limit 1465	tsv schliersee, eac bad reichenhall, sc gaißach, ehc munchen ii, sb rosenheim, tus geretsried ii, esc holzkirchen, sc riessersee ii, esc geretsried
[ header: rank \| cyclist \| team \| laps down \| notes row 1 : 1 \| iryna shpylova \| ukraine \| None \| q row 2 : 2 \| jessie daams \| belgium \| None \| q row 3 : 3 \| eunmi park \| south korea \| -1 \| q row 4 : 4 \| evgeniya romanyu \| russia \| -1 \| q row 5 : 5 \| andrea wolfer \| switzerland \| -1 \| q row 6 : 6 \| giorgia bronzini \| italy \| -1 \| q row 7 : 7 \| leire olaberria dorrons \| spain \| -1 \| q row 8 : 8 \| joanne kiesanowski \| new zealand \| -1 \| q row 9 : 9 \| dulce pliego \| mexico \| -1 \| q row 10 : 10 \| jessie maclean \| verducci breakaway racing \| -1 \| q row 11 : 11 \| lisa brennauer \| germany \| -1 \| q row 12 : 12 \| ashlee ankudinoff \| australia \| -1 \| q row 13 : 13 \| wan yiu jamie wong \| hong kong \| -1 \| None row 14 : 14 \| lauren franges \| united states \| -1 \| None row 15 : 15 \| skye lee armstrong \| rodin \| -1 \| None row 16 : 16 \| rosy mccall \| gis \| -1 \| None row 17 : 17 \| fatehah mustapa \| malaysia \| -1 \| None row 18 : 18 \| yekatsiryna bar \| belarus \| -1 \| None ] Execute this SQL based on the above table: select notes where laps down < 245	q, q, q, q, q, q, q, q, q, q
[ header: team \| wins \| losses \| win % \| gb row 1 : detroit tigers \| 104 \| 58 \| .642 \| 0 row 2 : toronto blue jays \| 89 \| 73 \| .549 \| 15.0 row 3 : new york yankees \| 87 \| 75 \| .537 \| 17.0 row 4 : boston red sox \| 86 \| 76 \| .531 \| 18.0 row 5 : baltimore orioles \| 85 \| 77 \| .525 \| 19.0 row 6 : cleveland indians \| 75 \| 87 \| .463 \| 29.0 row 7 : milwaukee brewers \| 67 \| 94 \| .416 \| 36.5 ] Execute this SQL based on the above table: select gb where team = 'boston red sox' order by losses desc limit 1	18.0
[ header: state \| city/county \| population served \| charter type \| station name \| web site row 1 : mo \| cape girardeau; jackson \| None \| pg \| public access cable tv (cg99 \| http://www.cityofcapegirard row 2 : mo \| columbia \| 108500 \| e \| university of missouri tv (mut \| http://mutv.missouri.e row 3 : mo \| florissant \| None \| g \| florissant city tv \| http://tv.florissantmo row 4 : mo \| independence \| 116830 \| g \| independence city 7 \| http://www.ci.independence row 5 : mo \| jefferson city \| 40000 \| p \| jefferson city access tv 81 \| http://www.facebook.com/page row 6 : mo \| kansas city \| None \| g \| kansas city (kcc \| http://www.kcmo.org row 7 : mo \| lebanon \| None \| peg \| lebanon community access channel (jtv \| http://www.lebanon.k12. row 8 : mo \| liberty \| None \| pe \| liberty school district cable tv - channel \| http://www.liberty.k12. row 9 : mo \| rolla \| 19559 \| pg \| rolla - channel 16 \| http://www.rollachannel6.com row 10 : mo \| springfield \| None \| p \| springfield cable 25 \| http://mappingaccess.org/n row 11 : mo \| springfield \| None \| g \| springfield cityview \| http://www.springfieldmo.gov row 12 : mo \| st. joseph \| None \| e \| missouri western state university educational access - \| http://www.missouriwestern.e row 13 : mo \| st. louis \| 319294 \| e \| st. louis higher education channel ( \| http://www.hectv.org row 14 : mo \| st. louis \| 319294 \| e \| st. louis tv ( \| http://stltv.net row 15 : mo \| warrensburg \| None \| e \| university of central missouri - central \| http://www.ucmo.e ] Execute this SQL based on the above table: select count ( web site )	15
[ header: number \| south or west terminus \| north or east terminus \| length (mi) \| length (km) \| formed \| deleted \| notes row 1 : sr-25 \| sr-24 at fish lake junction \| bowery haven resort (fish lake) \| 9.995 \| 16.085 \| 1930s \| current \| None row 2 : us-40 \| i-80 near park city \| colorado state line near dinosaur, color \| 174.624 \| 281.03 \| 1977 \| current \| None row 3 : sr-47 \| arizona state line in monument valley \| monticello \| None \| None \| 1930s \| 1977 \| now us-163 and part of us-191 row 4 : sr-63 \| None \| None \| None \| None \| 1930s \| 1971 \| None row 5 : i-70 \| i-15 near cove fort \| colorado state line near fruita, \| 231.673 \| 372.842 \| 1977 \| current \| None row 6 : sr-70 \| nevada state route 30 at the \| us-30s near snowville \| None \| None \| 1930s \| 1977 \| now part of sr-30 row 7 : sr-92 \| i-15 in lehi \| us-189 in provo canyon \| 27.272 \| 43.89 \| 1977 \| current \| renumbered from sr-80 row 8 : sr-106 \| i-15 west of bountiful \| us-89 in farmington \| 9.426 \| 15.17 \| 1930s \| current \| None row 9 : sr-126 \| i-15 south of layton \| us-89 at hot springs junction near pleasant \| 21.609 \| 34.776 \| 1977 \| current \| None row 10 : sr-140 \| hinckley \| deseret \| None \| None \| 1930s \| 1969 \| None row 11 : sr-143 \| i-15 west of parowan \| us-89 in panguitch \| 51.206 \| 82.408 \| 1930s \| current \| None row 12 : sr-212 \| i-15 near washington \| washington \| 1.289 \| 2.074 \| 1941 \| current \| None row 13 : sr-215 \| None \| None \| None \| None \| 1957 \| 1959 \| None row 14 : sr-230 \| None \| None \| None \| None \| 1941 \| 1969 \| None row 15 : sr-234 \| None \| None \| None \| None \| 1941 \| 1968 \| None row 16 : sr-256 \| None \| None \| None \| None \| 1955 \| 1969 \| None row 17 : sr-260 \| None \| None \| None \| None \| 1957 \| 1981 \| None row 18 : sr-280 \| i-80 south of coalville \| coalville \| 0.399 \| 0.642 \| 1963 \| current \| None row 19 : sr-311 \| us-40 \| starvation state park \| 3.916 \| 6.302 \| 1972 \| current \| None row 20 : sr-317 \| south 2700 west in west valley city \| calvin l. rampton complex \| 1.62 \| 2.607 \| 1983 \| current \| None ] Execute this SQL based on the above table: select ( select length (mi) where formed = 1977 ) > ( select length (mi) where formed = 1977 )	0
[ header: no. \| country \| 2009 winter universiade \| 2007 wjcc \| 2007 wwcc \| 2008 wjcc \| 2008 wwcc \| points row 1 : 1 \| canada \| 24 \| 12 \| 9 \| 12 \| 10 \| 67 row 2 : 2 \| china \| 28 \| None \| 14 \| 4 \| 6 \| 52 row 3 : 3 \| sweden \| 10 \| 5 \| 12 \| 14 \| 9 \| 50 row 4 : 4 \| great britain \| 16 \| 14 \| 5 \| 1 \| 12 \| 48 row 5 : 5 \| russia \| 20 \| 8 \| 6 \| 6 \| 5 \| 45 row 6 : 6 \| united states \| 4 \| 6 \| 4 \| 10 \| 8 \| 32 row 7 : 7 \| switzerland \| None \| 10 \| 8 \| 8 \| 3 \| 29 row 8 : 8 \| germany \| None \| None \| 7 \| 2 \| 14 \| 23 row 9 : 9 \| denmark \| None \| 3 \| 10 \| None \| 7 \| 20 row 10 : 10 \| czech republic \| 12 \| 4 \| None \| 3 \| None \| 19 row 11 : 11 \| south korea \| 8 \| None \| 3 \| None \| None \| 11 row 12 : 12 \| japan \| 6 \| 1 \| None \| None \| 2 \| 9 row 13 : 13 \| france \| None \| 2 \| None \| 5 \| None \| 7 row 14 : 14 \| norway \| None \| None \| 2 \| None \| 4 \| 6 row 15 : 15 \| poland \| 2 \| None \| None \| None \| None \| 2 row 16 : 16 \| italy \| None \| None \| 1 \| None \| None \| 1 row 17 : 17 \| latvia \| None \| None \| None \| None \| 1 \| 1 row 18 : None \| turkey (host) \| None \| None \| None \| None \| None \| 0 ] Execute this SQL based on the above table: select country where country = 'denmark' order by 2007 wwcc desc limit 1	denmark
[ header: name \| type \| elevation (ground station) \| elevation (mountain station) \| slope length \| capacity (persons/hour) \| construction year row 1 : fiesch- -alp 1+2 \| cable car \| 1074 \| 2227 \| 2940 \| 800 \| 1973 row 2 : fiesch- -alp 3+4 \| cable car \| 1071 \| 2221 \| 2937 \| 270 \| 1966 row 3 : fiescheralp-eggishorn \| cable car \| 2225 \| 2879 \| 1836 \| 495 \| 1968 row 4 : heimat \| chairlift \| 1858 \| 2301 \| 1144 \| 1400 \| 2000 row 5 : talegga \| chairlift \| 2208 \| 2727 \| 1782 \| 2200 \| 2010 row 6 : flesch \| chairlift \| 2208 \| 2630 \| 1357 \| 2400 \| 1993 row 7 : trainer 1 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 8 : trainer 2 \| surface lift \| 2206 \| 2264 \| 218 \| 1200 \| 1987 row 9 : laxeralp 1 \| surface lift \| 2135 \| 2179 \| 396 \| 1100 \| 1981 row 10 : laxeralp 2 \| surface lift \| 2179 \| 2280 \| 394 \| 1214 \| 1981 ] Execute this SQL based on the above table: select name where construction year > 1867	fiesch- -alp 1+2, fiesch- -alp 3+4, fiescheralp-eggishorn, heimat, talegga, flesch, trainer 1, trainer 2, laxeralp 1, laxeralp 2
[ header: station \| type \| latitude \| longitude \| el. (m) \| opened \| closed \| coordinates row 1 : calama, chile \| solar \| 22o28's \| 68o56'w \| 2250 \| 1918 \| 1920 \| 22°28′s 68°56′ row 2 : mount montezuma, chile \| solar \| 22o40's \| 68o56'w \| 2711 \| 1920 \| None \| 22°40′s 68°56′ row 3 : mount harquahala, arizon \| solar \| 33o48'n \| 113o20'w \| 1721 \| 1920 \| 1925 \| 33°48′n 113°20′ row 4 : table mountain, california \| solar \| 34o22'n \| 117o41'w \| 2286 \| 1925 \| 1962 \| 34°22′n 117°41′ row 5 : mount brukkaros, namibi \| solar \| 25o52's \| 17o48'e \| 1586 \| 1926 \| 1931 \| 25°52′s 17°48′e row 6 : mount saint catherine, egy \| solar \| 28o31'n \| 33o56'e \| 2591 \| 1934 \| 1937 \| 28°31′n 33°56′e row 7 : burro mountain, new mexico \| solar \| 32o40'n \| 108o33'w \| 2440 \| 1938 \| 1946 \| 32°40′n 108°33′ row 8 : organ pass, new mexico \| space track \| 32o25'n \| 253o27'e \| None \| None \| None \| 32°25′n 106°33′ row 9 : olifantsfontein, south africa \| space track \| 25o58's \| 28o15'e \| None \| None \| None \| 25°58′s 28°15′e row 10 : woomera, australia \| space track \| 31o06's \| 136o46'e \| None \| None \| None \| 31°06′s 136°46′ row 11 : curacao, netherlands west in \| space track \| 12o05'n \| 291o10'e \| None \| None \| None \| 12°05′n 68°50′ row 12 : jupiter, florida \| space track \| 27o01'n \| 279o53'e \| None \| None \| None \| 27°01′n 80°07′w row 13 : villa dolores, argentina \| space track \| 31o57'n \| 294o54'e \| None \| None \| None \| 31°57′n 65°06′e row 14 : mitaka, japan \| space track \| None \| None \| None \| None \| None \| None row 15 : nani tal, india \| space track \| None \| None \| None \| None \| None \| None ] Execute this SQL based on the above table: select latitude order by el. (m) desc limit 1	22o40's
[ header: date \| opponent \| time \| score \| record row 1 : 10/9/2009 \| university of new hampshire \| 7 p.m \| loss, 4-0 \| 0-1-0 row 2 : 10/10/2009 \| boston college \| 5 p.m \| None \| None row 3 : 10/16/2009 \| providence college \| 7 p.m \| 1-4 \| None row 4 : 10/17/2009 \| university of connecticut \| 4 p.m \| None \| None row 5 : 10/23/2009 \| wayne state university \| 7 p.m \| None \| None row 6 : 10/24/2009 \| wayne state university \| 2 p.m \| None \| None row 7 : 10/30/2009 \| harvard university \| 7 p.m \| None \| None row 8 : 10/31/2009 \| dartmouth college \| 3:30 p.m \| None \| None row 9 : 11/6/2009 \| rensselaer \| 2:30 p.m \| None \| None row 10 : 11/7/2009 \| union college \| 2:30 p.m \| 4-0 \| None row 11 : 11/13/2009 \| st. lawrence university \| 7 p.m \| None \| None row 12 : 11/14/2009 \| clarkson university \| 4 p.m \| None \| None row 13 : 11/20/2009 \| quinnipiac university \| 7 p.m \| None \| None row 14 : 11/21/2009 \| princeton university \| 4 p.m \| None \| None row 15 : 11/24/2009 \| syracuse university \| 7 p.m \| None \| None row 16 : 11/27/2009 \| mercyhurst college \| 7 p.m \| None \| None row 17 : 11/28/2009 \| mercyhurst college \| 2 p.m \| None \| None row 18 : 12/4/2009 \| brown university \| 7 p.m \| None \| None row 19 : 12/5/2009 \| yale university \| 4 p.m \| None \| None row 20 : 1/2/2010 \| syracuse university \| 7 p.m \| None \| None row 21 : 1/8/2010 \| niagara university \| 7 p.m \| None \| None row 22 : 1/9/2010 \| niagara university \| 4 p.m \| None \| None row 23 : 1/15/2010 \| dartmouth college \| 7 p.m \| None \| None row 24 : 1/16/2010 \| harvard university \| 4 p.m \| None \| None row 25 : 1/22/2010 \| cornell university \| 3 p.m \| None \| None row 26 : 1/23/2010 \| cornell university \| 3 p.m \| None \| None row 27 : 1/29/2010 \| clarkson university \| 7 p.m \| None \| None row 28 : 1/30/2010 \| st. lawrence university \| 4 p.m \| None \| None row 29 : 2/5/2010 \| princeton university \| 7 p.m \| None \| None row 30 : 2/6/2010 \| quinnipiac university \| 4 p.m \| None \| None row 31 : 2/12/2010 \| yale university \| 7 p.m \| None \| None row 32 : 2/13/2010 \| brown university \| 4 p.m \| None \| None row 33 : 2/19/2010 \| union college \| 7 p.m \| 2-1 \| None row 34 : 2/20/2010 \| rensselaer \| 4 p.m \| None \| None ] Execute this SQL based on the above table: select count ( * ) where time >= '4 p.m'	0
[ header: category \| \| area (sq miles) \| area (km2) \| population (2011) \| density (per km2) row 1 : mainland \| aberdeen city \| 70 \| 182 \| 222800 \| 1224 row 2 : mainland \| aberdeenshire \| 2439 \| 6317 \| 253000 \| 40 row 3 : mainland \| angus \| 843 \| 2184 \| 116000 \| 53 row 4 : mainland \| argyll and bute \| 2712 \| 7023 \| 88200 \| 13 row 5 : mainland \| clackmannanshire \| 61 \| 158 \| 51400 \| 325 row 6 : mainland \| dumfries and galloway \| 2489 \| 6446 \| 151300 \| 23 row 7 : mainland \| dundee city \| 21 \| 55 \| 147300 \| 2678 row 8 : mainland \| east ayrshire \| 492 \| 1275 \| 122700 \| 96 row 9 : mainland \| east dunbartonshire \| 68 \| 176 \| 105000 \| 597 row 10 : mainland \| east lothian \| 257 \| 666 \| 99700 \| 150 row 11 : mainland \| east renfrewshire \| 65 \| 168 \| 90600 \| 539 row 12 : mainland \| city of edinburgh \| 100 \| 260 \| 476600 \| 1833 row 13 : mainland \| falkirk \| 113 \| 293 \| 156000 \| 532 row 14 : mainland \| fife \| 517 \| 1340 \| 365200 \| 273 row 15 : mainland \| glasgow city \| 68 \| 175 \| 593200 \| 3390 row 16 : mainland \| highland \| 10085 \| 26119 \| 232100 \| 9 row 17 : mainland \| inverclyde \| 64 \| 167 \| 81500 \| 488 row 18 : mainland \| midlothian \| 135 \| 350 \| 83200 \| 238 row 19 : mainland \| moray \| 864 \| 2237 \| 93300 \| 42 row 20 : mainland \| north ayrshire \| 343 \| 888 \| 138200 \| 156 row 21 : mainland \| north lanarkshire \| 184 \| 476 \| 337800 \| 710 row 22 : mainland \| perth and kinross \| 2083 \| 5395 \| 146700 \| 27 row 23 : mainland \| renfrewshire \| 102 \| 263 \| 174900 \| 665 row 24 : mainland \| scottish borders \| 1825 \| 4727 \| 113900 \| 24 row 25 : mainland \| south ayrshire \| 475 \| 1230 \| 112800 \| 92 row 26 : mainland \| south lanarkshire \| 686 \| 1778 \| 313800 \| 176 row 27 : mainland \| stirling \| 866 \| 2243 \| 90200 \| 40 row 28 : mainland \| west dunbartonshire \| 68 \| 176 \| 90700 \| 515 row 29 : mainland \| west lothian \| 165 \| 427 \| 175100 \| 410 row 30 : None \| total mainland \| 28260 \| 73193 \| 5223100 \| 71 row 31 : island \| na h-eileanan \| 1185 \| 3070 \| 27700 \| 8 row 32 : island \| orkney islands \| 396 \| 1025 \| 21400 \| 21 row 33 : island \| shetland islands \| 568 \| 1471 \| 23200 \| 15 row 34 : None \| total islands \| 2149 \| 5566 \| 72300 \| 13 row 35 : None \| total scotland \| 30409 \| 78759 \| 5295400 \| 67 ] Execute this SQL based on the above table: select count ( category ) where area (km2) >= 888	17
[ header: year \| title \| chinese title \| role \| notes row 1 : 1992 \| to miss with love \| 逃學外傳 \| lai man-si \| None row 2 : 1992 \| super lady cop \| 超级女警 \| yoki \| None row 3 : 1992 \| fight back to school ii \| 逃學威龍2 \| sandy \| None row 4 : 1993 \| once a cop \| 超級計劃 \| annie lee \| None row 5 : 1993 \| tom, dick and hairy \| 風塵三俠 \| pearl chan \| None row 6 : 1993 \| vampire family \| 一屋哨牙鬼 \| chu lee-mei \| None row 7 : 1994 \| lantern \| 燈籠 \| fong \| None row 8 : 1994 \| easy money \| 先洗未來錢 \| sisi li \| None row 9 : 1995 \| trouble maker \| 蠟筆小小生 \| None \| None row 10 : 1995 \| remember m, remember e \| 那有一天不想你 \| chui ching \| None row 11 : 1995 \| cupid love \| 七月俏佳人 \| ching-ching \| None row 12 : 1995 \| a chinese odyss \| 西遊記第壹佰零壹回之月光寶盒 \| purple / lin zixia \| None row 13 : 1995 \| a chinese odyss \| 西遊記大結局之仙履奇緣 \| lin zixia \| None row 14 : 1996 \| the feeling of love \| 重慶愛情感覺 \| None \| None row 15 : 1996 \| hero of swallow \| 神偷燕子李三 \| chinny \| None row 16 : 1997 \| ah fai the dumb \| 天才與白痴 \| man-man \| None row 17 : 1998 \| temptress of a thousand face \| 千面嬌娃 \| sherry wong \| None row 18 : 1998 \| tricky king \| 超級整蠱霸王 \| dkny / yand \| None row 19 : 1998 \| shanghai affairs \| 新唐山大兄 \| sin \| None row 20 : 1998 \| the love and sex of the eastern \| 愛在娛樂圈的日子 \| yue \| None row 21 : 1998 \| take five \| 對不起,幹掉你 \| None \| None row 22 : 1998 \| raped by an angel 2: the \| 強姦2 制服誘惑 \| po-man \| None row 23 : 1998 \| the conman \| 賭俠1999 \| ching \| None row 24 : 1999 \| the h.k. triad \| o記三合會檔案 \| None \| None row 25 : 1999 \| the boss up there \| 生命楂fit人 \| fong hei-tung \| None row 26 : 1999 \| horoscope 1: the voice from \| 生人勿近之問米 \| jojo \| None row 27 : 2000 \| conman in tokyo \| 中華賭俠 \| karen \| None row 28 : 2001 \| never say goodbye \| 有人說愛我 \| jean \| None row 29 : 2002 \| chinese odyssey \| 天下無雙 \| amour amour \| guest star row 30 : 2002 \| time 4 hope \| 二人三足 \| cindy \| None row 31 : 2003 \| shiver \| 心寒 \| sammi mok sum-y \| None row 32 : 2003 \| dack night wolf \| None \| None \| None row 33 : 2004 \| sex and the beauties \| 性感都市 \| kwan tak-han \| None row 34 : 2007 \| whispers and moans \| 性工作者十日談 \| coco \| None ] Execute this SQL based on the above table: select chinese title where id = ( select id where chinese title = '的士判官' ) - 1	超級計劃
[ 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 count ( left office ) where # > ( select # where left office = '2 september 2013' )	1
[ header: record \| date \| result \| opponent \| location \| method \| round row 1 : 13-0 \| 07/12/2013 \| win \| igor pylypenko \| porsche arena, stuttgart, \| unanimous decision \| 6 row 2 : 12-0 \| 27/10/2013 \| win \| alphonce mchumiatumb \| sarajevo, bosn \| decision \| 8 row 3 : 11-0 \| 06/07/2013 \| win \| alexander vasiliev \| westfalenhalle, dortmund, \| tko \| 2 row 4 : 10-0 \| 02/02/2013 \| win \| niko falin \| iss dome, dusseldorf, germany \| unanimous decision \| 6 row 5 : 9-0 \| 02/12/2012 \| win \| ladislav kovarik \| esprit arena, dusseldorf, germany \| unanimous decision \| 6 row 6 : 8-0 \| 06/08/2012 \| win \| ivica perkovic \| sarajevo, bosn \| unanimous decision \| 12 row 7 : 7-0 \| 04/13/2012 \| win \| aliaksandr makaranka \| lanxess arena, c \| ko \| 1 row 8 : 6-0 \| 12/17/2011 \| win \| ferenc zsalek \| sarajevo, bosn \| ko \| 3 row 9 : 5-0 \| 12/02/2011 \| win \| liridon memishi \| sap arena, mannheim, germany \| unanimous decision \| 6 row 10 : 4-0 \| 06/25/2011 \| win \| werner kreiskott \| lanxess arena, c \| unanimous decision \| 6 row 11 : 3-0 \| 02/19/2011 \| win \| ergin solmaz \| porsche arena, stuttgart, \| unanimous decision \| 4 row 12 : 2-0 \| 09/03/2004 \| win \| tomasz zeprzalka \| gorazde, bosnia and \| tko \| 2 row 13 : 1-0 \| 02/07/2004 \| win \| ergin solmaz \| sarajevo, bosn \| unanimous decision \| 4 ] Execute this SQL based on the above table: select ( select count ( date ) where round > ( select round where date = '02/12/2012' ) ) > 0	1
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select player order by no. asc limit 1221	eddie giacomin, brian leetch, harry howell, rod gilbert, andy bathgate, adam graves, mark messier, mike richter, wayne gretzky
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| central american and caribbean games \| mexico city, mexico \| 1st \| 3000 m s'chase \| None row 2 : 1991 \| pan american games \| havana city, cuba \| 6th \| 3000 m s'chase \| None row 3 : 1992 \| olympic games \| barcelona, spain \| 6th \| 10,000 m \| None row 4 : 1993 \| world championships \| stuttgart, germany \| 9th \| 10,000 m \| None row 5 : 1994 \| world half marathon championships \| oslo, norway \| 2nd \| half marathon \| 1:00:28 pb row 6 : 1994 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 7 : 1994 \| london marathon \| london, england \| 3rd \| marathon \| None row 8 : 1995 \| world championships \| gothenburg, sweden \| 13th \| 10,000 m \| None row 9 : 1995 \| new york city marathon \| new york city, united states \| 1st \| marathon \| None row 10 : 1996 \| olympic games \| atlanta, united states \| 6th \| marathon \| None row 11 : 1997 \| new york city marathon \| new york city, united states \| 5th \| marathon \| None row 12 : 1997 \| boston marathon \| boston, united states \| 4th \| marathon \| None ] Execute this SQL based on the above table: select position where id = 1	1st
[ header: goal \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 24 january 2007 \| estadio cuscatlan, \| denmark \| 1-0 \| 1-0 \| friendly row 2 : 2 \| 8 february 2007 \| estadio cuscatlan, \| belize \| 2-0 \| 2-1 \| 2007 uncaf nations cup row 3 : 3 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 1-0 \| 2-1 \| 2007 uncaf nations cup row 4 : 4 \| 10 february 2007 \| estadio cuscatlan, \| nicaragua \| 2-1 \| 2-1 \| 2007 uncaf nations cup row 5 : 5 \| 8 september 2007 \| estadio olimpico at \| ecuador \| 1-2 \| 1-5 \| friendly row 6 : 6 \| 13 october 2007 \| estadio cuscatlan, \| costa rica \| 1-2 \| 2-2 \| friendly row 7 : 7 \| 6 february 2008 \| estadio cuscatlan, \| anguilla \| 9-0 \| 12-0 \| 2010 fifa world cup qualification row 8 : 8 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 1-1 \| 3-1 \| 2010 fifa world cup qualification row 9 : 9 \| 22 june 2008 \| estadio cuscatlan, \| panama \| 2-1 \| 3-1 \| 2010 fifa world cup qualification row 10 : 10 \| 15 october 2008 \| estadio cuscatlan, \| suriname \| 2-0 \| 3-0 \| 2010 fifa world cup qualification row 11 : 11 \| 22 october 2008 \| robert f. kenne \| bolivia \| 1-0 \| 2-0 \| friendly row 12 : 12 \| 28 march 2009 \| estadio cuscatlan, \| united states \| 1-0 \| 2-2 \| 2010 fifa world cup qualification row 13 : 13 \| 6 june 2009 \| estadio cuscatlan, \| mexico \| 2-1 \| 2-1 \| 2010 fifa world cup qualification row 14 : 14 \| 3 march 2010 \| los angeles coliseum, \| guatemala \| 2-1 \| 2-1 \| friendly row 15 : 15 \| 12 june 2011 \| soldier field, chicago, united states \| cuba \| 6-1 \| 6-1 \| 2011 concacaf gold cup ] Execute this SQL based on the above table: select competition where opponent = 'costa rica' order by result limit 808	friendly
[ header: location \| reactor type \| status \| net capacity (mwe) \| gross capacity (mwe) row 1 : chernobyl-1 \| rbmk-1000 \| shut down in 1996 \| 740 \| 800 row 2 : chernobyl-2 \| rbmk-1000 \| shut down in 1991 \| 925 \| 1 row 3 : chernobyl-3 \| rbmk-1000 \| shut down in 2000 \| 925 \| 1 row 4 : chernobyl-4 \| rbmk-1000 \| destroyed in the 1986 accident \| 925 \| 1 row 5 : chernobyl-5 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 6 : chernobyl-6 \| rbmk-1000 \| construction cancelled in 1988 \| 950 \| 1 row 7 : ignalina-1 \| rbmk-1500 \| shut down in 2004 \| 1,185 \| 1,3 row 8 : ignalina-2 \| rbmk-1500 \| shut down in 2009 \| 1,185 \| 1,3 row 9 : ignalina-3 \| rbmk-1500 \| construction cancelled in 1988 \| 1,38 \| 1,5 row 10 : ignalina-4 \| rbmk-1500 \| plan cancelled in 1988 \| 1,38 \| 1,5 row 11 : kostroma-1 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 12 : kostroma-2 \| rbmk-1500 \| construction cancelled in 1980s \| 1,38 \| 1,5 row 13 : kursk-1 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 14 : kursk-2 \| rbmk-1000 \| operational until 2024 \| 925 \| 1 row 15 : kursk-3 \| rbmk-1000 \| operational until march 2014 \| 925 \| 1 row 16 : kursk-4 \| rbmk-1000 \| operational until february 2016 \| 925 \| 1 row 17 : kursk-5 \| mker-1000 \| construction begin was 1985, since then shelve \| 925 \| 1 row 18 : kursk-6 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 row 19 : leningrad-1 \| rbmk-1000 \| operational \| 925 \| 1 row 20 : leningrad-2 \| rbmk-1000 \| operational until 2021 \| 925 \| 1 row 21 : leningrad-3 \| rbmk-1000 \| operational until june 2025 \| 925 \| 1 row 22 : leningrad-4 \| rbmk-1000 \| operational until august 2026 \| 925 \| 1 row 23 : smolensk-1 \| rbmk-1000 \| operational until december 2022 \| 925 \| 1 row 24 : smolensk-2 \| rbmk-1000 \| operational until july 2015 \| 925 \| 1 row 25 : smolensk-3 \| rbmk-1000 \| operational until july 2023 \| 925 \| 1 row 26 : smolensk-4 \| rbmk-1000 \| construction cancelled in 1993 \| 925 \| 1 ] Execute this SQL based on the above table: select reactor type where reactor type != 'rbmk-1000' and net capacity (mwe) = 925	mker-1000
[ header: festival \| year \| award \| nominee \| result row 1 : blue mountains film festival \| 2011 \| animation prize \| None \| won row 2 : firstglance film festival philadelphia \| 2011 \| best director (animation) \| andrew martin \| won row 3 : lucerne international film festival \| 2011 \| best animated movie \| None \| nominated row 4 : village roadshow queensland new filmmakers \| 2011 \| best animation \| None \| won row 5 : village roadshow queensland new filmmakers \| 2011 \| best film \| None \| nominated row 6 : village roadshow queensland new filmmakers \| 2011 \| best direction \| andrew martin \| nominated row 7 : monaco international film festival \| 2011 \| best short film script \| None \| won row 8 : monaco international film festival \| 2011 \| best short animation \| None \| won row 9 : milan international film festival \| 2012 \| short film award \| None \| nominated row 10 : shorts in paradise film festival \| 2012 \| runner up award \| None \| won row 11 : worldfest houston international film festival and video \| 2012 \| special jury remi \| None \| won row 12 : janison short sharp film festival \| 2012 \| animation grand prize \| None \| won row 13 : create design awards \| 2012 \| motion category \| None \| nominated row 14 : st kilda film festival \| 2013 \| best comedy \| None \| won ] Execute this SQL based on the above table: select year order by id desc limit 1	2013
[ 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 abs ( studio - title ) order by studio desc limit 1	0
[ header: date \| constituency \| c/u \| former incumbent \| winner \| cause row 1 : 28 april 1791 \| ludgershall \| c \| george augustus selwyn \| samuel smith \| death row 2 : 4 may 1791 \| stirling burghs \| c \| sir archibald campbell \| andrew james cochrane \| death row 3 : 21 february 1792 \| st mawes \| u \| john graves simcoe \| thomas calvert \| resignation (lieutenant governor of upper canada row 4 : 7 march 1792 \| rochester \| c \| sir richard bickerton \| nathaniel smith \| death row 5 : 7 may 1792 \| malton \| u \| william weddell \| george damer \| death row 6 : 18 may 1792 \| aberdeen burghs \| u \| alexander callender \| alexander allardyce \| death row 7 : 28 june 1792 \| liskeard \| u \| edward james el \| edward james el \| commissioner of the board of control row 8 : 15 september 1792 \| newcastle-under-lyme \| c \| john leveson gower \| william egerton \| death row 9 : 28 may 1793 \| heytesbury \| u \| the lord auckland \| the viscount clifden \| became a british peer row 10 : 26 june 1793 \| shaftesbury \| u \| william grant \| paul benfield \| appointed second justice of the south wales circuit row 11 : 28 june 1793 \| newtown \| u \| sir richard worsley \| george canning \| resignation row 12 : 15 february 1794 \| wilton \| u \| lord herbert \| philip goldsworthy \| succeeded to a peerage row 13 : 3 march 1794 \| east retford \| u \| earl of lincoln \| william henry clinton \| succeeded to a peerage row 14 : 5 april 1794 \| cambridge university \| u \| earl of euston \| earl of euston \| chief ranger of st. jame row 15 : 11 april 1794 \| perthshire \| u \| james murray \| thomas graham \| death row 16 : 9 september 1794 \| wenlock \| u \| sir henry bridgeman \| john simpson \| elevated to the peerage row 17 : 20 september 1794 \| cirencester \| u \| lord apsley \| michael hicks beach \| succeeded to a peerage row 18 : 3 october 1794 \| weymouth and melcombe regis \| u \| sir james johnstone \| gabriel tucker steward \| death row 19 : 17 october 1794 \| city durham \| u \| john tempest, jr \| sir henry vane \| death row 20 : 27 march 1795 \| east looe \| u \| william wellesley pole \| charles arbuthnot \| resignation ] Execute this SQL based on the above table: select date order by id desc limit 1	27 march 1795
[ header: \| 1948 \| 1952 \| 1956 \| 1960 \| 1964 row 1 : all voters \| 50 \| 45 \| 42 \| 50 \| 61 row 2 : white \| 50 \| 43 \| 41 \| 49 \| 59 row 3 : black \| 50 \| 79 \| 61 \| 68 \| 94 row 4 : college educated \| 22 \| 34 \| 31 \| 39 \| 52 row 5 : high school educated \| 51 \| 45 \| 42 \| 52 \| 62 row 6 : grade school educated \| 64 \| 52 \| 50 \| 55 \| 66 row 7 : professional & business \| 19 \| 36 \| 32 \| 42 \| 54 row 8 : white collar \| 47 \| 40 \| 37 \| 48 \| 57 row 9 : manual worker \| 66 \| 55 \| 50 \| 60 \| 71 row 10 : farmer \| 60 \| 33 \| 46 \| 48 \| 53 row 11 : union member \| 76 \| None \| 51 \| 62 \| 77 row 12 : not union \| 42 \| None \| 35 \| 44 \| 56 row 13 : protestant \| 43 \| 37 \| 37 \| 38 \| 55 row 14 : catholic \| 62 \| 56 \| 51 \| 78 \| 76 row 15 : republican \| None \| 8 \| 4 \| 5 \| 20 row 16 : independent \| None \| 35 \| 30 \| 43 \| 56 row 17 : democrat \| None \| 77 \| 85 \| 84 \| 87 row 18 : east \| 48 \| 45 \| 40 \| 53 \| 68 row 19 : midwest \| 50 \| 42 \| 41 \| 48 \| 61 row 20 : west \| 49 \| 42 \| 43 \| 49 \| 60 row 21 : south \| 53 \| 51 \| 49 \| 51 \| 52 ] Execute this SQL based on the above table: select where = 'midwest'	midwest
[ header: n \| p \| nat. \| name \| age \| moving from \| type \| transfer window \| ends \| transfer fee row 1 : 20 \| rw \| por \| nuno capucho \| 31 \| porto \| transfer \| summer \| 2005 \| £0.67m row 2 : 15 \| cb \| georgia \| zurab khizanishvili \| 21 \| dundee \| transfer \| summer \| 2006 \| free row 3 : 16 \| lb \| ita \| paolo vanoli \| 30 \| bologna \| transfer \| summer \| 2005 \| free row 4 : 25 \| cb \| nor \| henning berg \| 33 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 5 : 4 \| cm \| bra \| emerson \| 31 \| atletico madrid \| transfer \| summer \| 2005 \| free row 6 : 9 \| cf \| nor \| egil østenstad \| 31 \| blackburn rovers \| transfer \| summer \| 2004 \| free row 7 : 37 \| lm \| tun \| hamed namouchi \| 19 \| cannes \| transfer \| None \| 2005 \| free row 8 : None \| cm \| fra \| marc kalenga \| 18 \| auxerre \| transfer \| None \| 2004 \| free row 9 : 11 \| cm \| sco \| gavin rae \| 26 \| dundee \| transfer \| winter \| 2007 \| £0.25m row 10 : 5 \| cb \| ned \| frank de boer \| 33 \| galatasaray \| transfer \| winter \| 2004 \| free row 11 : 52 \| cf \| mkd \| bajram fetai \| 18 \| b.93 \| transfer \| winter \| 2006 \| £0.2m ] Execute this SQL based on the above table: select p order by ends desc limit 1	cm
[ header: rank \| area \| state/ province \| csa/cma 2009 population \| projected 2025 population \| projected increase 2009-2025 row 1 : 1 \| chicago \| il-in-wi \| 9804845 \| 10935100 \| 1130255 row 2 : 2 \| toronto \| on \| 5741400 \| 7408000 \| 1666600 row 3 : 3 \| detroit \| mi \| 5327764 \| 6191000 \| 863236 row 4 : 4 \| cleveland \| oh \| 2891988 \| 3172000 \| 280012 row 5 : 5 \| milwaukee \| wi \| 1760268 \| 1913000 \| 157732 row 6 : 6 \| ottawa - gatin \| on-qc \| 1451415 \| 1596556 \| 145141 row 7 : 7 \| grand rapids \| mi \| 1327366 \| 1530000 \| 202634 row 8 : 8 \| buffalo \| ny \| 1203493 \| 1040400 \| -163093 row 9 : 9 \| rochester \| ny \| 1149653 \| 1248600 \| 98947 row 10 : 10 \| hamilton \| on \| 740200 \| 954858 \| 214658 row 11 : 11 \| toledo \| oh \| 672220 \| 672220 \| 0 row 12 : 12 \| lansing \| mi \| 523609 \| 547325 \| 23716 row 13 : 13 \| kitchener - cambridge - waterl \| on \| 492400 \| 635196 \| 142796 row 14 : 14 \| london \| on \| 492200 \| 634938 \| 142738 row 15 : 15 \| fort wayne \| in \| 414315 \| 455623 \| 39366 row 16 : 16 \| st. catharines - \| on \| 404400 \| 521676 \| 117276 row 17 : 17 \| windsor \| on \| 330900 \| 426861 \| 95961 row 18 : 18 \| erie \| pa \| 280985 \| None \| None ] Execute this SQL based on the above table: select count ( * ) where state/ province = 'oh'	2
[ header: ecclesiastical jurisdictions \| latin name \| type \| rite \| ecclesiastical province \| established \| area (km2) row 1 : benguela \| benguelensis \| diocese \| roman \| huambo \| 6 june 1970 \| 49920 row 2 : cabinda \| cabindanus \| diocese \| roman \| luanda \| 2 july 1984 \| 7120 row 3 : caxito \| caxitonsis \| diocese \| roman \| luanda \| 6 june 2007 \| 25133 row 4 : dundo \| dundensis \| diocese \| roman \| luanda \| 9 november 2001 \| 103130 row 5 : huambo \| huambensis \| metropolitan archdiocese \| roman \| huambo \| 4 september 1940 \| 29500 row 6 : kwito-bie \| kvitobiensis \| diocese \| roman \| huambo \| 4 september 1940 \| 71000 row 7 : luanda \| luandensis \| metropolitan archdiocese \| roman \| luanda \| 1596 \| 1074 row 8 : lubango \| lubangensis \| metropolitan archdiocese \| roman \| lubango \| 27 july 1955 \| 118000 row 9 : lwena \| lvenanus \| diocese \| roman \| saurimo \| 1 july 1963 \| 199786 row 10 : malanje \| malaniensis \| metropolitan archdiocese \| roman \| malanje \| 25 november 1957 \| 107000 row 11 : mbanza congo \| mbanzacongensis \| diocese \| roman \| luanda \| 7 november 1984 \| 39459 row 12 : menongue \| menonguensis \| diocese \| roman \| lubango \| 10 august 1975 \| 213309 row 13 : namibe \| namibanus \| diocese \| roman \| lubango \| 21 march 2009 \| 57097 row 14 : ndalatando \| ndalatandensis \| diocese \| roman \| malanje \| 26 march 1990 \| 20159 row 15 : ondjiva \| ondiivanus \| diocese \| roman \| lubango \| 10 august 1975 \| 83900 row 16 : saurimo \| saurimoensis \| metropolitan archdiocese \| roman \| saurimo \| 10 august 1975 \| 77000 row 17 : sumbe \| sumbensis \| diocese \| roman \| luanda \| 10 august 1975 \| 60000 row 18 : uije \| uiiensis \| diocese \| roman \| luanda \| 14 march 1967 \| 63530 row 19 : viana \| viananensis \| diocese \| roman \| luanda \| 6 june 2007 \| 17206 ] Execute this SQL based on the above table: select max ( area (km2) ) - min ( area (km2) )	212235.0
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select count ( territory ) where notes = 'live album'	1
[ header: province \| capital \| population \| density \| municipalities \| legal districts row 1 : almeria \| almeria \| 702819 \| 72.5 /km2 (188 / \| 102 municipalities \| 8 row 2 : cadiz \| cadiz \| 1243519 \| 158.8 /km2 (411 \| 44 municipalities \| 14 row 3 : cordoba \| cordoba \| 805857 \| 72.4 /km2 (188 / \| 75 municipalities \| 12 row 4 : granada \| granada \| 924550 \| 68.7 /km2 (178 \| 169 municipalities \| 9 row 5 : huelva \| huelva \| 521968 \| 47.7 /km2 (124 \| 79 municipalities \| 6 row 6 : jaen \| jaen \| 670600 \| 49.1 /km2 (127 \| 97 municipalities \| 10 row 7 : malaga \| malaga \| 1625827 \| 204.1 /km2 (529 / \| 101 municipalities \| 11 row 8 : seville \| seville \| 1928962 \| 129.2 /km2 (335 \| 105 municipalities \| 15 ] Execute this SQL based on the above table: select abs ( municipalities - legal districts ) where population = 924550	160.0
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 2001 \| world youth championships \| debrecen, hungary \| 2nd \| 400 m \| 47.12 row 2 : 2001 \| world youth championships \| debrecen, hungary \| 1st \| medley relay \| 1:50.46 row 3 : 2001 \| european junior championships \| grosseto, italy \| 1st \| 4x400 m relay \| 3:06.12 row 4 : 2003 \| european junior championships \| tampere, finland \| 3rd \| 400 m \| 46.69 row 5 : 2003 \| european junior championships \| tampere, finland \| 2nd \| 4x400 m relay \| 3:08.62 row 6 : 2005 \| european u23 championships \| erfurt, germany \| 11th (sf) \| 400 m \| 46.62 row 7 : 2005 \| european u23 championships \| erfurt, germany \| 1st \| 4x400 m relay \| 3:04.41 row 8 : 2005 \| universiade \| izmir, turkey \| 7th \| 400 m \| 46.89 row 9 : 2005 \| universiade \| izmir, turkey \| 1st \| 4x400 m relay \| 3:02.57 row 10 : 2006 \| world indoor championships \| moscow, russia \| 2nd (h) \| 4x400 m relay \| 3:06.10 row 11 : 2006 \| european championships \| gothenburg, sweden \| 3rd \| 4x400 m relay \| 3:01.73 row 12 : 2007 \| european indoor championships \| birmingham, united kingdom \| 3rd \| 4x400 m relay \| 3:08.14 row 13 : 2007 \| universiade \| bangkok, thailand \| 7th \| 400 m \| 46.85 row 14 : 2007 \| universiade \| bangkok, thailand \| 1st \| 4x400 m relay \| 3:02.05 row 15 : 2008 \| world indoor championships \| valencia, spain \| 4th \| 4x400 m relay \| 3:08.76 row 16 : 2008 \| olympic games \| beijing, china \| 7th \| 4x400 m relay \| 3:00.32 row 17 : 2009 \| universiade \| belgrade, serbia \| 2nd \| 4x400 m relay \| 3:05.69 ] Execute this SQL based on the above table: select notes where position = '2nd (h)'	3.0
[ 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 member where state > ( select state where member = 'philip barresi' ) order by state limit 1	don randall
[ header: record \| athlete \| nation \| venue \| date \| # row 1 : 4.08 m (13 ft 41 \| sun caiyun \| china \| taiyuan, china \| 18 may 1995 \| 2 row 2 : 4.08 m (13 ft 41 \| zhong guiqing \| china \| taiyuan, china \| 18 may 1995 \| 1 row 3 : 4.13 m (13 ft \| daniela bartova \| czech republic \| wesel, germany \| 24 june 1995 \| 3 row 4 : 4.16 m (13 ft \| daniela bartova \| czech republic \| feldkirch, austria \| 14 july 1995 \| 6 row 5 : 4.18 m (13 ft \| andrea muller \| germany \| zittau, germany \| 5 august 1995 \| 1 row 6 : 4.20 m (13 ft \| daniela bartova \| czech republic \| koln, germany \| 18 august 1995 \| 8 row 7 : 4.22 m (13 ft 10 \| daniela bartova \| czech republic \| salgotarjan, hungary \| 11 september 1995 \| 10 row 8 : 4.41 m (14 ft 51 \| emma george \| australia \| perth, australia \| 28 january 1996 \| 3 row 9 : 4.42 m (14 ft 6 \| emma george \| australia \| reims, france \| 29 june 1996 \| 4 row 10 : 4.45 m (14 ft 7 \| emma george \| australia \| sapporo, japan \| 14 july 1996 \| 5 row 11 : 4.55 m (14 ft 11 \| emma george \| australia \| melbourne, australia \| 20 february 1997 \| 7 row 12 : 4.58 m (15 ft 01⁄ \| emma george \| australia \| melbourne, australia \| 14 march 1998 \| 9 row 13 : 4.59 m (15 ft 01⁄ \| emma george \| australia \| brisbane, australia \| 21 march 1998 \| 10 row 14 : 4.60 m (15 ft 1 in \| emma george \| australia \| sydney, australia \| 20 february 1999 \| 11 row 15 : i 4.63 m (15 ft \| stacy dragila \| united states \| new york city, u.s \| 2 feb 2001 \| 5 row 16 : i 4.64 m (15 ft \| svetlana feof \| russia \| dortmund, germany \| 11 february 2001 \| 1 row 17 : i 4.66 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 6 row 18 : i 4.70 m (15 ft \| stacy dragila \| united states \| pocatello, u.s \| 17 feb 2001 \| 7 row 19 : 4.81 m (15 ft 91 \| stacy dragila \| united states \| palo alto, u.s \| 9 june 2001 \| 10 row 20 : 4.82 m (15 ft 93 \| yelena isinbayeva \| russia \| gateshead, england \| 13 july 2003 \| 1 row 21 : 4.89 m (16 ft 01⁄ \| yelena isinbayeva \| russia \| birmingham, england \| 25 july 2004 \| 5 ] Execute this SQL based on the above table: select venue where # in ( 2 , 6 )	taiyuan, china, feldkirch, austria, pocatello, u.s
[ header: map (coordinates) \| municipality \| area (square kilometers) (square miles) \| population \| mesoregion \| microregion row 1 : 6°26′8′′s 36°38 \| acari \| 608.565 (234.967) \| 11035 \| central potiguar \| serido oriental row 2 : 6°11′40′′s 35°9 \| ares \| 112.584 (43.469) \| 12931 \| leste potiguar \| litoral sul row 3 : 5°41′50′′s 36°31 \| fernando pedroza \| 322.540 (124.533) \| 2850 \| central potiguar \| angicos row 4 : 6°8′57′′s 35°26 \| lagoa de pedras \| 117.660 (45.429) \| 6992 \| agreste potiguar \| agreste potiguar row 5 : 6°16′44′′s 35°22 \| passagem \| 41.235 (15.921) \| 2899 \| agreste potiguar \| agreste potiguar row 6 : 6°6′36′′s 37°18 \| patu \| 319.932 (123.526) \| 11964 \| oeste potiguar \| umarizal row 7 : 5°4′4′′s 36°46 \| porto do mangue \| 418.636 (161.635) \| 5217 \| oeste potiguar \| vale do acu row 8 : 5°58′30′′s 38°9 \| sao francisco do o \| 75.550 (29.170) \| 3874 \| oeste potiguar \| pau dos ferros row 9 : 6°6′36′′s 37°57 \| serrinha dos pintos \| 122.644 (47.353) \| 4538 \| oeste potiguar \| umarizal row 10 : 6°20′53′′s 35°22 \| varzea \| 67.245 (25.963) \| 5227 \| agreste potiguar \| agreste potiguar ] Execute this SQL based on the above table: select map (coordinates) where map (coordinates) in ( '12931' , '6°6′36′′s 37°57′23′′w / 6.11000°s 37.95639°w' ) order by population desc limit 1	6°6′36′′s 37°57′23′′w / 6.11000°s 37.95639°w
[ header: pos. \| artist \| single \| year \| sales \| peak row 1 : 1 \| daniel lavoie, pat \| "belle" \| 1998 \| 2,221,000 \| 1 row 2 : 4 \| wes \| "alane" \| 1997 \| 1,418,000 \| 1 row 3 : 10 \| celine dion \| "the reason" / "my heart will \| 1998 \| 1,197,000 \| 1 row 4 : 16 \| celine dion \| "pour que tu m'aime \| 1995 \| 955,000 \| 1 row 5 : 19 \| andrea bocelli & helene \| "vivo per lei (je vis pour \| 1998 \| 874,000 \| 1 row 6 : 20 \| zebda \| "tomber la chemise" \| 1999 \| 868,000 \| 1 row 7 : 22 \| khaled \| "aicha" \| 1996 \| 824,000 \| 1 row 8 : 24 \| david hallyday \| "tu ne m'a \| 1999 \| 801,000 \| 1 row 9 : 25 \| will smith \| "men in black" \| 1997 \| 783,000 \| 1 row 10 : 32 \| brandy & monica \| "the boy is mine" \| 1998 \| 662,000 \| 2 row 11 : 35 \| tina arena \| "aller plus haut" \| 1999 \| 617,000 \| 2 row 12 : 39 \| eiffel 65 \| "move your body" \| 1999 \| 589,000 \| 1 row 13 : 40 \| britney spears \| "... baby one more time" \| 1999 \| 578,000 \| 1 row 14 : 54 \| hanson \| "mmmbop" \| 1997 \| 490,000 \| 4 row 15 : 59 \| regg'lyss \| "mets de l'huile" \| 1993 \| 476,000 \| 1 row 16 : 60 \| janet jackson \| "together again" \| 1998 \| 475,000 \| 2 row 17 : 61 \| modern talking \| "you're my heart, you're \| 1998 \| 475,000 \| 3 row 18 : 64 \| lara fabian \| "je t'aime" \| 1997 \| 471,000 \| 6 row 19 : 65 \| madonna \| "frozen" \| 1998 \| 469,000 \| 2 row 20 : 66 \| francois feldman \| "joy" \| 1991 \| 468,000 \| 1 row 21 : 67 \| patrick bruel \| "qui a le droit... (live) \| 1991 \| 466,000 \| 1 row 22 : 68 \| youssou n'dour \| "7 seconds" \| 1994 \| 465,000 \| 1 row 23 : 73 \| freddie mercury \| "living on my own 1993" \| 1993 \| 426,000 \| 1 row 24 : 81 \| g.o. culture \| "darla_dirladada" \| 1993 \| 397,000 \| 1 row 25 : 82 \| spice girls \| "spice up your life" \| 1997 \| 397,000 \| 3 row 26 : 85 \| jean-philippe audin & \| "song of ocarina" \| 1991 \| 379,000 \| 1 row 27 : 86 \| boris \| "soiree disco" \| 1996 \| 376,000 \| 1 row 28 : 89 \| celine dion \| "un garcon pas comme les autres (zi \| 1993 \| 365,000 \| 2 row 29 : 90 \| liane foly \| "la vie ne m'apprend \| 1999 \| 364,000 \| 3 row 30 : 91 \| fool's garden \| "lemon tree" \| 1996 \| 362,000 \| 3 ] Execute this SQL based on the above table: select count ( * ) where sales < '465,000' and sales = '469,000'	0
[ header: place \| player \| country \| score \| to par row 1 : t1 \| ed sneed \| united states \| 68-67=135 \| -9 row 2 : t1 \| craig stadler \| united states \| 69-66=135 \| -9 row 3 : t3 \| raymond floyd \| united states \| 70-68=138 \| -6 row 4 : t3 \| leonard thompson \| united states \| 68-70=138 \| -6 row 5 : t5 \| miller barber \| united states \| 75-64=139 \| -5 row 6 : t5 \| tom watson \| united states \| 68-71=139 \| -5 row 7 : t5 \| joe inman \| united states \| 68-71=139 \| -5 row 8 : t8 \| seve ballesteros \| spain \| 72-68=140 \| -4 row 9 : t8 \| jack nicklaus \| united states \| 69-71=140 \| -4 row 10 : t8 \| lou graham \| united states \| 69-71=140 \| -4 ] Execute this SQL based on the above table: select count ( * ) where score = '68-71=139'	2
[ header: group \| members \| caucusing \| total row 1 : socialist group \| 242 \| 8 \| 250 row 2 : rpr group \| 136 \| 6 \| 140 row 3 : udf group \| 107 \| 6 \| 113 row 4 : communist group \| 34 \| 2 \| 36 row 5 : radical, citizen and green \| 33 \| 0 \| 33 row 6 : non-inscrits \| 5 \| 0 \| 5 row 7 : total \| 555 \| 22 \| 577 ] Execute this SQL based on the above table: select group where members = ( select members where group = 'communist group' ) - 1	radical, citizen and green
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 26, 1959 \| at los angeles rams \| w 23-21 \| 71297 row 2 : 2 \| october 4, 1959 \| at philadelphia eagle \| l 49-21 \| 27023 row 3 : 3 \| october 11, 1959 \| at cleveland browns \| w 10-6 \| 65534 row 4 : 4 \| october 18, 1959 \| philadelphia eagles \| w 24-7 \| 68783 row 5 : 5 \| october 25, 1959 \| at pittsburgh steelers \| w 21-16 \| 33596 row 6 : 6 \| november 1, 1959 \| green bay packers \| w 20-3 \| 68837 row 7 : 7 \| november 8, 1959 \| chicago cardinals \| w 9-3 \| 56779 row 8 : 8 \| november 15, 1959 \| pittsburgh steelers \| l 14-9 \| 66786 row 9 : 9 \| november 22, 1959 \| at chicago cardinals (bloom \| w 30-20 \| 26625 row 10 : 10 \| november 29, 1959 \| washington redskins \| w 45-14 \| 60982 row 11 : 11 \| december 6, 1959 \| cleveland browns \| w 48-7 \| 68436 row 12 : 12 \| december 13, 1959 \| at washington redskins \| w 24-10 \| 26198 ] Execute this SQL based on the above table: select opponent order by attendance asc limit 1	at washington redskins
[ header: season \| club \| league \| apps \| goals row 1 : 2003-04 \| podgrmec \| fbih first league \| 23 \| 16 row 2 : 2004-05 \| nk zagreb \| prva hnl \| 26 \| 3 row 3 : 2005-06 \| nk zagreb \| prva hnl \| 25 \| 3 row 4 : 2006-07 \| nk zagreb \| prva hnl \| 17 \| 4 row 5 : 2007-08 \| nk zagreb \| prva hnl \| 31 \| 12 row 6 : 2008-09 \| hajduk split \| prva hnl \| 30 \| 12 row 7 : 2009-10 \| hajduk split \| prva hnl \| 29 \| 17 row 8 : 2010-11 \| hajduk split \| prva hnl \| 17 \| 6 row 9 : 2011-12 \| lokomotiv \| rfpl \| 28 \| 4 row 10 : 2012-13 \| gaziantepspor \| super lig \| 1 \| 1 ] Execute this SQL based on the above table: select club order by goals limit 1	gaziantepspor
[ header: season \| tier \| division \| place row 1 : 1981/82 \| 4 \| 3a \| 17th row 2 : 1982/83 \| 5 \| regional \| None row 3 : 1983/84 \| 4 \| 3a \| 1st row 4 : 1984/85 \| 4 \| 3a \| 2nd row 5 : 1985/86 \| 4 \| 3a \| 1st row 6 : 1986/87 \| 3 \| 2ab \| 10th row 7 : 1987/88 \| 3 \| 2ab \| 1st row 8 : 1988/89 \| 2 \| 2a \| 18th row 9 : 1989/90 \| 3 \| 2ab \| 7th row 10 : 1990/91 \| 3 \| 2ab \| 8th row 11 : 1991/92 \| 3 \| 2ab \| 20th row 12 : 1992/93 \| 4 \| 3a \| 14th row 13 : 1993/94 \| 4 \| 3a \| 19th row 14 : 1994/95 \| 5 \| reg. pref \| 9th row 15 : 1995/96 \| 5 \| reg. pref \| 4th row 16 : 1996/97 \| 5 \| reg. pref \| 1st row 17 : 1997/98 \| 5 \| reg. pref \| 2nd ] Execute this SQL based on the above table: select division where place = ( select place where division = 'reg. pref' ) + 1	2ab