Split (3)

train · 796k rows

input stringlengths 20 5.6k	output stringlengths 0 17.9k
[ header: # \| date \| opponent \| score \| site/stadium \| win \| loss \| save \| attendance \| overall record \| ncaat record row 1 : 72 \| june 15 \| rice \| 17-5 \| rosenblatt stadium \| wilson (8-5) \| berry (8-5) \| none \| 18108 \| 43-29 \| 6-2 row 2 : 73 \| june 17 \| north carolina \| 5-3 \| rosenblatt stadium \| breckley (3-2) \| warren (9-2) \| burke (13) \| 23314 \| 44-29 \| 7-2 row 3 : 74 \| june 21 \| north carolina \| 4-3 \| rosenblatt stadium \| white (13-3) \| miller (6-4) \| none \| 18611 \| 44-30 \| 7-3 row 4 : 75 \| june 22 \| north carolina \| 6-1 \| rosenblatt stadium \| allison (4-5) \| moran (1-2) \| none \| 15125 \| 45-30 \| 8-3 row 5 : 76 \| june 23 \| georgia \| 7-6 \| rosenblatt stadium \| harvil (2-1) \| burke (4-6) \| fields (18) \| 19559 \| 45-31 \| 8-4 row 6 : 77 \| june 24 \| georgia \| 19-10 \| rosenblatt stadium \| sprague (6-2) \| dodson (5-5) \| hower (1) \| 17223 \| 46-31 \| 9-4 row 7 : 78 \| june 25 \| georgia \| 6-1 \| rosenblatt stadium \| wilson (5-5) \| moreau (4-4) \| none \| 18932 \| 47-31 \| 10-4 ] Execute this SQL based on the above table: select max ( opponent )	rice
[ header: color & icon \| name \| name \| mark \| first section opened \| last ex- tension \| length \| stations row 1 : yellow \| line 1 \| higashiyama line \| h \| 1957 \| 1982 \| 20.6 km (12.8 mi) \| 22 row 2 : purple \| line 2 \| meijo line \| m \| 1965 \| 1971 \| 8.9 km (5.5 mi) \| 12 row 3 : purple \| line 4 \| meijo line \| m \| 1974 \| 2004 \| 17.5 km (10.9 mi) \| 17 row 4 : purple & white \| line 2 \| meiko line \| e \| 1971 \| None \| 6.0 km (3.7 mi) \| 7 row 5 : blue \| via trackage rights \| meitetsu inuyama line \| None \| 1993 \| None \| 21.4 km (13.3 mi) \| 13 row 6 : blue \| line 3 \| tsurumai line \| t \| 1977 \| 1993 \| 20.4 km (12.7 mi) \| 20 row 7 : blue \| via trackage rights \| meitetsu toyot \| None \| 1979 \| None \| 15.2 km (9.4 mi) \| 8 row 8 : blue \| via trackage rights \| meitetsu mikawa line \| None \| None \| None \| 1.4 km (0.87 mi) \| 2 row 9 : red \| line 6 \| sakura-dori line \| s \| 1989 \| 2011 \| 19.1 km (11.9 mi) \| 21 row 10 : pink \| via trackage rights \| meitetsu komaki line \| None \| 2003 \| None \| 18.3 km (11.4 mi) \| 13 row 11 : pink \| via trackage rights \| meitetsu komaki line \| None \| 2003 \| None \| 2.3 km (1.4 mi) \| 2 row 12 : pink \| line 7 \| kamiiida line \| k \| 2003 \| None \| 0.8 km (0.50 mi) \| 2 ] Execute this SQL based on the above table: select color & icon where color & icon = 'blue' and color & icon = 'blue'	blue, blue, blue, blue
[ header: player \| league \| cup \| europa league \| total row 1 : garra dembele \| 25 \| 3 \| 8 \| 36 row 2 : daniel mladenov \| 5 \| 0 \| 5 \| 10 row 3 : ismail isa \| 3 \| 1 \| 4 \| 8 row 4 : hristo yovov \| 6 \| 0 \| 1 \| 7 row 5 : joazinho \| 2 \| 0 \| 2 \| 4 row 6 : vladimir gadzhe \| 2 \| 1 \| 1 \| 4 row 7 : darko tasevski \| 4 \| 0 \| 0 \| 4 row 8 : alex \| 3 \| 0 \| 0 \| 3 row 9 : jeanvion yulu-mat \| 3 \| 0 \| 0 \| 3 row 10 : mariyan ognyanov \| 2 \| 0 \| 0 \| 2 row 11 : serginho greene \| 1 \| 0 \| 1 \| 2 row 12 : yordan miliev \| 1 \| 0 \| 0 \| 1 row 13 : ivo ivanov \| 1 \| 0 \| 0 \| 1 row 14 : total \| 58 \| 5 \| 22 \| 85 ] Execute this SQL based on the above table: select count ( player ) where cup > 974	0
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select co-driver where id = ( select id where co-driver = 'joao sousa' ) + 1	fernando spinola
[ header: district \| name \| party \| residence \| first served row 1 : district 1 \| nelson albano \| dem \| vineland \| 2006 row 2 : district 1 \| robert andrzejcza \| dem \| middle twp \| 2013 row 3 : district 2 \| john f. amodeo \| rep \| margate \| 2008 row 4 : district 4 \| paul moriarty \| dem \| washington twp \| 2006 row 5 : district 4 \| gabriela mosquera \| dem \| blackwood \| 2012 row 6 : district 5 \| angel fuentes \| dem \| camden \| 2010 row 7 : district 7 \| troy singleton \| dem \| palmyra \| 2011 row 8 : district 8 \| scott rudder \| rep \| medford \| 2008 row 9 : district 9 \| dianne gove \| rep \| long beach twp \| 2009 row 10 : district 9 \| brian e. rumpf \| rep \| little egg harbor \| 2003 row 11 : district 10 \| david w. wolfe \| rep \| brick \| 1992 row 12 : district 11 \| caroline casagrande \| rep \| colts neck \| 2008 row 13 : district 13 \| amy handlin \| rep \| lincroft \| 2006 row 14 : district 14 \| wayne deangelo \| dem \| hamilton twp \| 2008 row 15 : district 16 \| donna simon \| rep \| whitehouse station \| 2012 row 16 : district 17 \| upendra j. chivukul \| dem \| somerset \| 2002 row 17 : district 18 \| patrick j. diegnan \| dem \| south plainfield \| 2002 row 18 : district 20 \| joseph cryan \| dem \| union twp \| 2002 row 19 : district 21 \| nancy munoz \| rep \| summit \| 2009 row 20 : district 22 \| jerry green \| dem \| plainfield \| 1992 row 21 : district 22 \| linda stender \| dem \| scotch plains \| 2002 row 22 : district 23 \| john dimaio \| rep \| hackettstown \| 2009 row 23 : district 23 \| erik peterson \| rep \| franklin twp \| 2009 row 24 : district 24 \| alison littell mchose \| rep \| franklin \| 2003 row 25 : district 25 \| tony bucco \| rep \| boonton twp \| 2010 row 26 : district 25 \| michael patrick carroll \| rep \| morris twp \| 1996 row 27 : district 26 \| jay webber \| rep \| morris plains \| 2008 row 28 : district 27 \| john f. mckeon \| dem \| west orange \| 2002 row 29 : district 28 \| cleopatra tucker \| dem \| newark \| 2008 row 30 : district 30 \| sean t. kean \| rep \| wall twp \| 2012 row 31 : district 30 \| dave rible \| rep \| wall \| 2008 row 32 : district 31 \| jason o'donnell \| dem \| bayonne \| 2010 row 33 : district 32 \| angelica m. jimenez \| dem \| west new york \| 2012 row 34 : district 32 \| vincent prieto \| dem \| secaucus \| 2004 row 35 : district 33 \| ruben j. ramos \| dem \| hoboken \| 2008 row 36 : district 34 \| thomas p. giblin \| dem \| montclair \| 2006 row 37 : district 36 \| gary schaer \| dem \| passaic \| 2006 row 38 : district 39 \| bob schroeder \| rep \| washington twp \| 2010 row 39 : district 40 \| scott rumana \| rep \| wayne \| 2008 ] Execute this SQL based on the above table: select count ( distinct district )	31
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : single version / radio edit \| 3:39 \| go - the very best of moby \| mhc aka philip la \| 2006 \| remixed version with dance sonorities, row 2 : extended remix \| 6:48 \| None \| mhc aka philip la \| 2006 \| similar to the previous but longer row 3 : axwell remix \| 7:24 \| None \| axwell \| 2006 \| used in a scene in the 2008 movie 21 row 4 : enzo mori & stephan clar \| 7:10 \| None \| enzo mori and stephan clark \| 2006 \| None row 5 : mhc club remix \| 7:31 \| None \| mhc aka philip la \| 2006 \| None row 6 : zloot remix \| 4:36 \| None \| toni toolz \| 2006 \| None row 7 : music video \| 3:58 \| None \| None \| 2006 \| None ] Execute this SQL based on the above table: select remixed by where length = ( select length where remixed by = 'enzo mori and stephan clark' ) - 1	mhc aka philip larsen and chis smith
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| nigeria \| 14 \| 12 \| 9 \| 35 row 2 : 2 \| algeria \| 9 \| 4 \| 4 \| 17 row 3 : 3 \| kenya \| 8 \| 11 \| 4 \| 23 row 4 : 4 \| ethiopia \| 2 \| 4 \| 7 \| 13 row 5 : 5 \| ghana \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| ivory coast \| 2 \| 1 \| 3 \| 6 row 7 : 7 \| egypt \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| senegal \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| morocco \| 1 \| 1 \| 1 \| 3 row 10 : 10 \| tunisia \| 0 \| 3 \| 1 \| 4 row 11 : 11 \| madagascar \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| rwanda \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| zimbabwe \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| seychelles \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation = 'seychelles'	seychelles
[ header: entered \| wrestler \| place \| eliminated by \| time row 1 : 1 \| junior fatu \| 7th \| hoyt, kaz, s \| 03:00 row 2 : 2 \| robert roode \| advanced to part three \| None \| 06:47 row 3 : 3 \| kaz \| 5th \| roode \| 05:32 row 4 : 4 \| alex shelley \| 3rd \| young \| 06:47 row 5 : 5 \| eric young \| advanced to part three \| None \| 06:47 row 6 : 6 \| chris sabin \| 6th \| kaz \| 04:55 row 7 : 7 \| lance hoyt \| 4th \| roode \| 06:06 row 8 : 8 \| james storm \| 8th \| young \| 00:05 ] Execute this SQL based on the above table: select count ( place ) where wrestler = 'chris sabin'	1
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select count ( * ) where role < 1651	0
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select club where won = ( select won where club = 'castres olympique' ) + 1	cs bourgoin-jallieu, asm clermont
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| malaga cf \| 42 \| 79 \| 22 \| 13 \| 7 \| 72 \| 47 \| 25 row 2 : 2 \| atletico de madrid b 1 \| 42 \| 74 \| 21 \| 11 \| 10 \| 73 \| 51 \| 22 row 3 : 3 \| cd numancia \| 42 \| 73 \| 21 \| 10 \| 11 \| 68 \| 40 \| 28 row 4 : 4 \| sevilla fc \| 42 \| 71 \| 20 \| 11 \| 11 \| 66 \| 50 \| 16 row 5 : 5 \| rayo vallecano \| 42 \| 71 \| 19 \| 14 \| 9 \| 64 \| 49 \| 15 row 6 : 6 \| ud las palmas \| 42 \| 68 \| 17 \| 17 \| 8 \| 57 \| 38 \| 19 row 7 : 7 \| cd toledo \| 42 \| 65 \| 18 \| 11 \| 13 \| 54 \| 49 \| 5 row 8 : 8 \| sd compostela \| 42 \| 61 \| 16 \| 13 \| 13 \| 60 \| 53 \| 7 row 9 : 9 \| sporting de gijon \| 42 \| 59 \| 16 \| 11 \| 15 \| 47 \| 47 \| 0 row 10 : 10 \| cp merida \| 42 \| 59 \| 15 \| 14 \| 13 \| 48 \| 41 \| 7 row 11 : 11 \| ue lleida \| 42 \| 59 \| 15 \| 14 \| 13 \| 52 \| 50 \| 2 row 12 : 12 \| recreativo de huelva \| 42 \| 58 \| 14 \| 16 \| 12 \| 40 \| 35 \| 5 row 13 : 13 \| ca osasuna \| 42 \| 57 \| 15 \| 12 \| 15 \| 44 \| 51 \| -7 row 14 : 14 \| cd badajoz \| 42 \| 51 \| 12 \| 15 \| 15 \| 35 \| 39 \| -4 row 15 : 15 \| albacete \| 42 \| 50 \| 12 \| 14 \| 16 \| 38 \| 43 \| -5 row 16 : 16 \| cd logrones \| 42 \| 48 \| 12 \| 12 \| 18 \| 48 \| 57 \| -9 row 17 : 17 \| cd leganes \| 42 \| 47 \| 10 \| 17 \| 15 \| 36 \| 44 \| -8 row 18 : 18 \| sd eibar \| 42 \| 47 \| 13 \| 8 \| 21 \| 42 \| 56 \| -14 row 19 : 19 \| mallorca b \| 42 \| 46 \| 12 \| 10 \| 20 \| 52 \| 64 \| -12 row 20 : 20 \| barcelona b \| 42 \| 44 \| 13 \| 5 \| 24 \| 51 \| 68 \| -17 row 21 : 21 \| hercules cf \| 42 \| 40 \| 10 \| 10 \| 22 \| 38 \| 66 \| -28 row 22 : 22 \| cd ourense \| 42 \| 27 \| 7 \| 6 \| 29 \| 35 \| 82 \| -47 ] Execute this SQL based on the above table: select club where club != 'cd logrones' and goal difference = 0	sporting de gijon
[ 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 category where year = ( select year where category = 'outstanding voice-over performance' ) + 1	outstanding voice-over performance
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select pos where laps < ( select laps where pos = 'ret' ) order by laps desc limit 1	ret
[ header: place (posicion) \| team (equipo) \| played (pj) \| won (pg) \| draw (pe) \| lost (pp) \| goals scored (gf) \| goals conceded (gc) \| +/- (dif.) \| points (pts.) row 1 : 1 \| tauro f.c \| 13 \| 7 \| 2 \| 4 \| 21 \| 18 \| +3 \| 23 row 2 : 2 \| san francisco f.c \| 13 \| 5 \| 6 \| 2 \| 19 \| 15 \| +4 \| 21 row 3 : 3 \| chepo f.c \| 13 \| 5 \| 5 \| 3 \| 19 \| 12 \| +7 \| 20 row 4 : 4 \| sporting san miguelito \| 13 \| 6 \| 2 \| 5 \| 18 \| 16 \| +2 \| 20 row 5 : 5 \| arabe unido \| 13 \| 6 \| 2 \| 5 \| 15 \| 14 \| +1 \| 20 row 6 : 6 \| plaza amador \| 13 \| 4 \| 7 \| 2 \| 13 \| 9 \| +4 \| 19 row 7 : 7 \| chorrillo f.c \| 13 \| 3 \| 7 \| 3 \| 14 \| 13 \| +1 \| 16 row 8 : 8 \| atletico chiriqui \| 13 \| 4 \| 3 \| 6 \| 14 \| 22 \| -8 \| 15 row 9 : 9 \| atletico veraguense \| 13 \| 2 \| 5 \| 6 \| 15 \| 28 \| -13 \| 11 row 10 : 10 \| alianza \| 13 \| 3 \| 1 \| 9 \| 25 \| 27 \| -2 \| 10 ] Execute this SQL based on the above table: select count ( team (equipo) ) where points (pts.) < 765	10
[ header: rank \| heat \| name \| nationality \| time \| notes row 1 : 1 \| 1 \| lacena golding-clarke \| jamaica \| 12.74 \| q, pb row 2 : 2 \| 1 \| vonette dixon \| jamaica \| 12.83 \| q, pb row 3 : 3 \| 2 \| diane allahgreen \| england \| 12.92 \| q, pb row 4 : 4 \| 2 \| brigitte foster \| jamaica \| 12.98 \| q row 5 : 5 \| 2 \| angela atede \| nigeria \| 13.01 \| q, sb row 6 : 6 \| 1 \| angela whyte \| canada \| 13.03 \| q, pb row 7 : 7 \| 1 \| julie pratt \| england \| 13.08 \| q, pb row 8 : 8 \| 2 \| jacquie munro \| australia \| 13.22 \| q row 9 : 9 \| 1 \| melanie wilkins \| england \| 13.29 \| None row 10 : 9 \| 2 \| sriyani kulawans \| sri lanka \| 13.29 \| None row 11 : 11 \| 1 \| fiona cullen \| australia \| 13.45 \| None row 12 : 12 \| 2 \| rachel king \| wales \| 13.58 \| None row 13 : 13 \| 2 \| tamsin stephens \| northern ireland \| 13.59 \| None row 14 : 14 \| 1 \| christy akinremi \| nigeria \| 13.73 \| None row 15 : None \| 2 \| shabana khattak \| pakistan \| dnf \| None row 16 : None \| 1 \| carole kaboud mebam \| cameroon \| dns \| None row 17 : None \| 1 \| olutoyin augustus \| nigeria \| dns \| None ] Execute this SQL based on the above table: select nationality order by notes desc limit 1	nigeria
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini where year opened = 1918	balboa park station
[ header: km \| municipality \| location \| interescting highway \| notes row 1 : 0 \| canada-united states border \| canada-united states border \| nd 18 - cavalier, \| pth 30 begins row 2 : 3 \| r.m. of rhine \| gretna \| pr 243 east - emerson \| begin pr 243 west concurrence row 3 : 5 \| r.m. of rhine \| None \| pr 243 west - blumenfeld \| end pr 243 west concurrence row 4 : 10 \| r.m. of rhine \| None \| pr 421 east - sommerfeld \| None row 5 : 14 \| r.m. of rhine \| altona \| pr 201 west - brown, windy \| begin pr 201 east concurrence row 6 : 18 \| r.m. of rhine \| None \| pr 201 east - letellier, \| end pr 201 east concurrence row 7 : 25 \| r.m. of rhine \| rosenfeld \| pth 14 - morden, win \| pth 30 ends highway continues as pr 3 ] Execute this SQL based on the above table: select count ( * ) where municipality = 'canada-united states border'	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 count ( * ) where withdrawn in ( '09/2005' , '03/2005' )	2
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select count ( * ) where matthew = 'matthew 02:16-18' and luke = 'luke 08:19-21'	0
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select ( select no where title = '"by hoot or by crook"' ) - ( select no where title = '"giddy up woe"' )	5.0
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 15, 1974 \| new york jets \| w 24-16 \| 74,854 row 2 : 2 \| september 22, 1974 \| at oakland raiders \| l 27-7 \| 48,108 row 3 : 3 \| september 29, 1974 \| at houston oilers \| w 17-7 \| 28,538 row 4 : 4 \| october 6, 1974 \| denver broncos \| l 17-14 \| 67,298 row 5 : 5 \| october 13, 1974 \| pittsburgh steelers \| l 34-24 \| 65,517 row 6 : 6 \| october 20, 1974 \| at miami dolphins \| l 9-3 \| 67,779 row 7 : 7 \| october 27, 1974 \| at san diego chargers \| w 24-14 \| 34,371 row 8 : 8 \| november 3, 1974 \| new york giants \| l 33-27 \| 61,437 row 9 : 9 \| november 10, 1974 \| san diego chargers \| l 14-7 \| 48,551 row 10 : 10 \| november 18, 1974 \| at denver broncos \| w 42-34 \| 50,236 row 11 : 11 \| november 24, 1974 \| at cincinnati bengals \| l 33-6 \| 49,777 row 12 : 12 \| december 1, 1974 \| at st. louis cardinals \| w 17-13 \| 41,863 row 13 : 13 \| december 8, 1974 \| oakland raiders \| l 7-6 \| 60,577 row 14 : 14 \| december 14, 1974 \| minnesota vikings \| l 35-15 \| 35,480 ] Execute this SQL based on the above table: select count ( opponent )	14
[ header: date \| week (stage) \| song choice \| original artist \| theme \| result row 1 : 11 february 2011 \| week 1 (top 9) \| "just the way you are" \| bruno mars \| free choice \| safe row 2 : 18 february 2011 \| week 2 (top 8) \| "can't buy me love" \| the beatles \| the beatles songs \| safe row 3 : 25 february 2011 \| week 3 (top 7) \| "de første kæ \| tv.2 \| songs from the 2000s \| safe row 4 : 4 march 2011 \| week 4 (top 6) \| "numb" \| linkin park \| rock songs \| safe row 5 : 11 march 2011 \| week 5 (top 5) \| "hurt" \| christina aguilera \| free choice (with danish national chamber orchestra \| safe row 6 : 18 march 2011 \| week 6 (top 4) \| "dj got us fallin' in love \| usher feat. pitbull \| dj night with rune rk \| safe row 7 : 18 march 2011 \| week 6 (top 4) \| "baby" \| justin bieber \| free choice \| safe row 8 : 25 march 2011 \| week 7 (final 3) \| "the flood" \| take that \| joint song with guest take that performed jointly with the \| third row 9 : 25 march 2011 \| week 7 (final 3) \| "all the right moves" \| onerepublic \| free choice \| third row 10 : 25 march 2011 \| week 7 (final 3) \| "back to the 80s" \| aqua \| joint song with guest aqua \| third ] Execute this SQL based on the above table: select count ( * ) where date < 28	0
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select crystal drop of sweat (best helper) order by year desc limit 1	stijn vandenbergh
[ header: responsible minister(s) \| crown entities \| monitoring department(s) \| category / type \| empowering legislation row 1 : acc \| accident compensation corporation \| labour \| crown agent \| injury prevention, rehabilitation, and compensation act 2001 ( row 2 : arts, culture and heritage \| new zealand historic places trust (p \| culture and heritage \| ace \| historic places act 1993 (part 3) row 3 : arts, culture and heritage \| new zealand symphon \| culture and heritage \| ace \| new zealand symphon row 4 : broadcasting \| broadcasting commission (new zealand on \| culture and heritage \| ace \| broadcasting act 1989 (part 4 and schedule 1) row 5 : commerce \| securities commission \| economic development \| ice \| securities act 1978 (part 1) row 6 : commerce \| takeovers panel \| economic development \| ice \| takeovers act 1993 (part 1 and schedule row 7 : commerce \| testing laboratory registration council \| economic development \| ace \| testing laboratory registration act 1972 row 8 : community and voluntary sector \| charities commission \| internal affairs \| ace \| charities act 2005 (part 1) row 9 : cris and finance (2) \| crown research institutes (9) \| ccmau and treasur \| cec \| crown research institutes act 1992 row 10 : economic development and finance (2) \| new zealand venture investment fund limited \| ccmau and treasur \| cec \| none (company constitution) row 11 : finance \| government superannuation fund authority \| treasury \| ace \| government superannuation fund act 1956 ( row 12 : health \| alcohol advisory council of new zealand \| health \| ace \| alcohol advisory council act 1976 row 13 : health \| crown health financing agency \| health \| crown agent \| new zealand public health and disability act row 14 : health \| district health boards (21) \| health \| crown agent \| new zealand public health and disability act row 15 : health \| health and disability commissioner \| health \| ice \| health and disability commissioner act 1994 (part 1 and row 16 : health \| health research council of new zealand \| health \| crown agent \| health research council act 1990 (part 1 and schedule row 17 : health \| health sponsorship council \| health \| crown agent \| smoke-free environments act 1990 (part 3) row 18 : health \| pharmaceutical management agency \| health \| crown agent \| new zealand public health and disability act row 19 : law commission \| law commission \| justice \| ice \| law commission act 1985 (and schedule 1) row 20 : social development and employment \| new zealand artificial limb board \| social development \| ace \| social welfare (transitional provisions) act 1990 row 21 : social development and employment \| social workers registration board \| social development \| crown agent \| social workers registration act 2003 (part 6 and schedule row 22 : sport and recreation \| new zealand sports drug agency \| culture and heritage \| ice \| new zealand sports drug agency act 1994 row 23 : sport and recreation \| sport and recreation new zealand \| culture and heritage \| crown agent \| sport and recreation new zealand act 2002 row 24 : tertiary education \| tertiary education commission \| education \| crown agent \| education act 1989 (part 13a) row 25 : transport \| civil aviation authority of new zealand \| transport \| crown agent \| civil aviation act 1990 (part 6a and schedule row 26 : transport \| transit new zealand \| transport \| crown agent \| land transport management act 2003 (part 3 and schedule ] Execute this SQL based on the above table: select count ( * )	26
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select home where id = ( select id where home = '4-4' ) - 1	0-8
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select role where notes >= 757	dhiren kumar, himself, himself, bunnu, raju, himself, himself, bhaskar diwakar chowdahry, deputy inspector general of police, negative role
[ header: availability / production \| \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 row 1 : availability \| hydro power \| 1150 \| 1161 \| 1171 \| 1247 \| 1281 \| 1293 \| 1316 \| 1326 \| 1357 \| 1379 \| 1382 \| 1401 \| 1584 row 2 : availability \| thermal \| 685 \| 835 \| 1056 \| 1233 \| 1215 \| 1155 \| 1155 \| 1155 \| 1285 \| 1290 \| 1390 \| 1690 \| 1638 row 3 : availability \| other renewables \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 15 \| 45 \| 50 \| 90 row 4 : availability \| total availability \| 1838 \| 1999 \| 2230 \| 2483 \| 2499 \| 2411 \| 2434 \| 2444 \| 2645 \| 2684 \| 2818 \| 3141 \| 3312 row 5 : production \| hydro power \| 3197 \| 3110 \| 2962 \| 3310 \| 2960 \| 3451 \| 4634 \| 3947 \| 4130 \| 3881 \| 5634 \| 4622 \| 3292 row 6 : production \| thermal \| 3485 \| 3407 \| 3201 \| 4298 \| 5080 \| 5314 \| 4751 \| 5864 \| 5763 \| 5975 \| 4995 \| 6785 \| 8339 row 7 : production \| other renewables \| 3 \| 3 \| 4 \| 3 \| 3 \| 5 \| 4 \| 4 \| 8 \| 27 \| 86 \| 121 \| 169 row 8 : production \| total production \| 6685 \| 6520 \| 6167 \| 7611 \| 8043 \| 8770 \| 9389 \| 9815 \| 9901 \| 9883 \| 10715 \| 11528 \| 11800 ] Execute this SQL based on the above table: select where 2008 = 1285	thermal
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( film ) where year = 2008	1
[ header: name \| nationality \| club \| from \| until row 1 : jose manuel abundis \| mexico \| atlanta silverbacks \| 2011 \| 2011 row 2 : alex pineda chacon \| honduras \| atlanta silverbacks \| 2011 \| 2012 row 3 : eric wynalda \| united states \| atlanta silverbacks \| 2012 \| 2012 row 4 : brian haynes (footballer \| trinidad and tobago \| atlanta silverbacks \| 2012 \| 2013 row 5 : eric wynalda \| united states \| atlanta silverbacks \| 2014 \| present row 6 : martin rennie \| scotland \| carolina railhawks \| 2009 \| 2011 row 7 : colin clarke \| england \| carolina railhawks \| 2011 \| present row 8 : dwight lodeweges \| netherlands \| fc edmonton \| 2010 \| 2010 row 9 : harry sinkgraven \| netherlands \| fc edmonton \| 2010 \| 2012 row 10 : colin miller \| canada \| fc edmonton \| 2012 \| present row 11 : daryl shore \| united states \| fort lauderdale strikers \| 2010 \| 2013 row 12 : gunter kronsteiner \| austria \| fort lauderdale strikers \| 2013 \| present row 13 : juergen sommer \| united states \| indy eleven \| 2013 \| present row 14 : manny lagos \| united states \| minnesota united fc \| 2010 \| present row 15 : marc dos santos \| canada \| montreal impact \| 2009 \| 2011 row 16 : nick de santis \| canada \| montreal impact \| 2011 \| 2011 row 17 : giovanni savarese \| venezuela \| new york cosmos \| 2012 \| present row 18 : marc dos santos \| canada \| ottawa fury fc \| 2013 \| present row 19 : colin clarke \| england \| puerto rico islanders \| 2007 \| 2011 row 20 : adrian whitbread \| england \| puerto rico islanders \| 2011 \| 2012 row 21 : tim hankinson \| united states \| san antonio scorpion \| 2012 \| 2013 row 22 : alen marcina \| canada \| san antonio scorpion \| 2013 \| present row 23 : ricky hill \| england \| tampa bay rowdies \| 2011 \| present ] Execute this SQL based on the above table: select count ( * )	23
[ header: year \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select year where location is null order by year desc limit 1	1997
[ header: name \| from \| until \| relationship with predecessor row 1 : cosimo de' medici (pater patria \| 1434 \| 1 august 1464 \| son of giovanni di bicci de row 2 : piero i de' medici (pier \| 1 august 1464 \| 2 december 1469 \| eldest son of cosimo de' medici row 3 : lorenzo i de' medici ( \| 2 december 1469 \| 9 april 1492 \| eldest son of piero i row 4 : piero ii de' medici ( \| 9 april 1492 \| 8 november 1494 \| eldest son of lorenzo the row 5 : cardinal giovanni de' medici \| 31 august 1512 \| 9 march 1513 \| brother of piero the unfortunate, second son row 6 : giuliano de' medici, duke \| 9 march 1513 \| 17 march 1516 \| brother of cardinal giovanni de' row 7 : lorenzo ii de' medici \| 17 march 1516 \| 4 may 1519 \| nephew of giuliano de' medici, row 8 : cardinal giulio de' medici \| 4 may 1519 \| 19 november 1523 \| cousin of lorenzo ii de row 9 : cardinal ippolito de' medici \| 19 november 1523 \| 24 october 1529 \| cousin of cardinal giulio de ] Execute this SQL based on the above table: select count ( * ) where from = '31 august 1512'	1
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select film group by film order by count ( * ) desc limit 1	zero degree (filming)
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini where termini = 'balboa park station'	embarcadero station, embarcadero station
[ header: date \| opponent \| score \| result \| record row 1 : may 19 \| san antonio \| 81-72 \| win \| 1-0 row 2 : may 23 \| @ seattle \| 87-100 \| loss \| 1-1 row 3 : may 25 \| houston \| 111-85 \| win \| 2-1 row 4 : may 29 \| sacramento \| 76-75 \| win \| 3-1 row 5 : may 31 \| @ san antonio \| 97-85 \| win \| 4-1 row 6 : june 5 \| minnesota \| 85-90 \| loss \| 4-4 row 7 : june 7 \| chicago \| 80-66 \| win \| 5-4 row 8 : june 9 \| @ sacramento \| 74-70 \| win \| 6-4 row 9 : june 13 \| @ washington \| 69-86 \| loss \| 6-5 row 10 : june 15 \| @ indiana \| 89-78 \| win \| 7-5 row 11 : june 20 \| washington \| 101-106 \| loss \| 7-6 row 12 : june 22 \| detroit \| 84-87 \| loss \| 7-7 row 13 : june 24 \| houston \| 90-85 \| win \| 8-7 row 14 : june 30 \| @ houston \| 92-75 \| win \| 9-7 row 15 : july 3 \| @ minnesota \| 95-79 \| win \| 10-7 row 16 : july 8 \| @ detroit \| 82-111 \| loss \| 11-8 row 17 : july 11 \| san antonio \| 77-87 \| loss \| 11-9 row 18 : july 20 \| los angeles \| 77-87 \| loss \| 12-10 row 19 : july 22 \| minnesota \| 106-93 \| win \| 13-10 row 20 : july 27 \| @ chicago \| 98-96 \| win \| 15-10 row 21 : july 29 \| indiana \| 80-75 \| win \| 16-10 row 22 : july 31 \| @ houston \| 76-74 \| win \| 17-10 row 23 : august 2 \| @ san antonio \| 84-79 \| win \| 18-10 row 24 : august 4 \| @ seattle \| 101-111 \| loss \| 18-11 row 25 : august 7 \| @ los angeles \| 96-93 \| win \| 19-11 row 26 : august 9 \| new york \| 97-86 \| win \| 20-11 row 27 : august 11 \| los angeles \| 100-83 \| win \| 21-11 row 28 : august 17 \| @ sacramento \| 101-91 \| win \| 22-11 row 29 : august 19 \| sacramento \| 87-73 \| win \| 23-11 row 30 : august 24 (first round, game 1) \| @ seattle \| 101-84 \| win \| 1-0 row 31 : august 26 (first round, game 2) \| seattle \| 95-89 \| win \| 2-0 row 32 : august 30 (west finals, game 1) \| @ san antonio \| 102-100 \| win \| 3-0 row 33 : september 1 (west finals, game 2) \| san antonio \| 98-92 \| win \| 4-0 row 34 : september 5 (wnba finals \| @ detroit \| 100-108 \| loss \| 4-1 row 35 : september 8 (wnba finals \| @ detroit \| 98-70 \| win \| 5-1 row 36 : september 11 (wnba finals \| detroit \| 83-88 \| loss \| 5-2 row 37 : september 13 (wnba finals \| detroit \| 77-76 \| win \| 6-2 row 38 : september 15 (wnba finals \| @ detroit \| 108-92 \| win \| 7-2 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'july 20' ) + 1	july 22
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select avg ( drop(s) )	10.444444444444445
[ header: state \| interview \| swimsuit \| evening gown \| average row 1 : idaho \| 8.688 \| 8.925 \| 8.850 \| 8.821 row 2 : kentucky \| 8.863 \| 9.175 \| 9.400 \| 9.146 row 3 : vermont \| 8.425 \| 9.013 \| 9.300 \| 8.913 row 4 : texas \| 8.688 \| 8.975 \| 8.875 \| 8.846 row 5 : north dakota \| 8.800 \| 8.975 \| 9.175 \| 8.983 row 6 : washington \| 8.688 \| 8.788 \| 8.863 \| 8.779 row 7 : alabama \| 8.650 \| 8.475 \| 8.938 \| 8.688 row 8 : south dakota \| 8.300 \| 8.838 \| 8.513 \| 8.550 row 9 : new york \| 8.463 \| 8.713 \| 8.400 \| 8.525 row 10 : oklahoma \| 8.275 \| 8.325 \| 8.700 \| 8.433 ] Execute this SQL based on the above table: select ( select swimsuit where state = 'north dakota' ) - ( select swimsuit where state = 'kentucky' )	-0.20000000000000107
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select h / a order by attendance desc limit 1	h
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 1, 1991 \| minnesota vikings \| w 10-6 \| 64112 \| 0 row 2 : 2 \| september 8, 1991 \| at tampa bay buccaneers \| w 21-20 \| 65625 \| 0 row 3 : 3 \| september 15, 1991 \| new york giants \| w 20-17 \| 64829 \| 0 row 4 : 4 \| september 23, 1991 \| new york jets \| w 19-13 \| 65255 \| 0 row 5 : 5 \| september 29, 1991 \| at buffalo bills \| l 35-20 \| 80366 \| 0 row 6 : 6 \| october 6, 1991 \| washington redskins \| l 20-7 \| 64941 \| 0 row 7 : 7 \| None \| None \| None \| None \| 1 row 8 : 8 \| october 17, 1991 \| at green bay packers \| w 10-0 \| 58435 \| 0 row 9 : 9 \| october 27, 1991 \| at new orleans saints \| w 20-17 \| 68591 \| 0 row 10 : 10 \| november 3, 1991 \| detroit lions \| w 20-10 \| 57281 \| 0 row 11 : 11 \| november 11, 1991 \| at minnesota vikings \| w 34-17 \| 59001 \| 0 row 12 : 12 \| november 17, 1991 \| at indianapolis colts \| w 31-17 \| 60519 \| 0 row 13 : 13 \| november 24, 1991 \| miami dolphins \| l 16-13 \| 58288 \| 0 row 14 : 14 \| november 28, 1991 \| at detroit lions \| l 16-6 \| 78879 \| 0 row 15 : 15 \| december 8, 1991 \| green bay packers \| w 27-13 \| 62353 \| 0 row 16 : 16 \| december 14, 1991 \| tampa bay buccaneers \| w 27-0 \| 54719 \| 0 row 17 : 17 \| december 23, 1991 \| at san francisco 49ers \| l 52-14 \| 60419 \| 0 ] Execute this SQL based on the above table: select attendance where result = 'l 16-13'	58288.0
[ header: # \| title \| time \| performer(s) \| songwriters \| producer(s) \| samples and notes row 1 : 1 \| "everything man" \| 3:16 \| talib kweli, \| talib kweli greene \| madlib \| "everything man" by daybreak row 2 : 3 \| "hostile gospel (part 1) (deliver \| 5:22 \| talib kweli \| talib kweli greene \| just blaze \| "deliverance" by space row 3 : 4 \| "say something" \| 3:43 \| talib kweli, \| talib kweli greene \| will.i.am \| "theme for la's team" by row 4 : 6 \| "holy moly" \| 2:08 \| talib kweli \| talib kweli greene \| pete rock \| "border song (holy moses)" row 5 : 7 \| "eat to live" \| 3:07 \| talib kweli \| talib kweli greene \| madlib \| "ghetto lament" by row 6 : 11 \| "more or less" \| 4:40 \| talib kweli, di \| talib kweli greene \| hi-tek \| None row 7 : 13 \| "hot thing" \| 3:48 \| talib kweli, will \| talib kweli greene \| will.i.am \| "we're no exception" by john row 8 : 14 \| "space fruit" (interlude) \| 1:31 \| sa-ra \| om'mas keith, sh \| sa-ra \| None row 9 : 16 \| "oh my stars" \| 3:40 \| talib kweli, \| talib kweli greene \| dj khalil \| None row 10 : 18 \| "go with us" \| 3:59 \| talib kweli, strong \| talib kweli greene \| e. jones \| None row 11 : 19 \| "hostile gospel (part 2) (deliver \| 4:21 \| talib kweli, si \| talib kweli greene \| dj khalil \| "tight rope" by steel pulse row 12 : 21 \| "hush" \| 3:55 \| talib kweli, \| talib kweli greene \| chad beatz \| lp edition #19 & itune ] Execute this SQL based on the above table: select count ( songwriters ) where title = '"say something"'	1
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1999 \| universiade \| palma de mallorca, spain \| 2nd \| 20 km \| 1:25:23 row 2 : 2001 \| european race walking cup \| dudince, slovakia \| 12th \| 20 km \| 1:22:10 row 3 : 2001 \| world championships \| edmonton, canada \| 16th \| 20 km \| 1:25:28 row 4 : 2001 \| universiade \| beijing, china \| 1st \| 20 km \| 1:24:42 row 5 : 2002 \| european championships \| munich, germany \| 9th \| 20 km \| 1:21:21 row 6 : 2002 \| world race walking cup \| turin, italy \| 12th \| 20 km \| None row 7 : 2003 \| world championships \| paris, france \| 11th \| 20 km \| 1:20:34 pb row 8 : 2005 \| world championships \| helsinki, finland \| 14th \| 20 km \| None ] Execute this SQL based on the above table: select count ( venue ) where notes > 1903	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select nation where nation = 'total'	total
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select bike where id = 7	ducati 999 f06
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| prod. code row 1 : 68 \| 1 \| "you can go home again" \| jeff mccracken \| mark blutman & howard bus \| september 20, 1996 \| b720 row 2 : 69 \| 2 \| "hair today, goon tomorrow" \| jeff mccracken \| susan estelle jansen \| september 27, 1996 \| b721 row 3 : 71 \| 4 \| "fishing for virna" \| jeff mccracken \| matthew nelson \| october 11, 1996 \| b723 row 4 : 72 \| 5 \| "shallow boy" \| jeff mccracken \| jeff sherman \| october 18, 1996 \| b724 row 5 : 73 \| 6 \| "janitor dad" \| jeff mccracken \| jeff menell \| october 25, 1996 \| b725 row 6 : 74 \| 7 \| "singled out" \| jeff mccracken \| steve hibbert \| november 1, 1996 \| b727 row 7 : 75 \| 8 \| "dangerous secret" \| jeff mccracken \| jeff sherman \| november 8, 1996 \| b726 row 8 : 76 \| 9 \| "sixteen candles and four-hund \| jeff mccracken \| matthew nelson \| november 15, 1996 \| b728 row 9 : 77 \| 10 \| "turkey day" \| jeff mccracken \| susan estelle jansen \| november 22, 1996 \| b729 row 10 : 79 \| 12 \| "easy street" \| jeff mccracken \| jeff menell \| december 13, 1996 \| b732 row 11 : 80 \| 13 \| "b & b's b \| jeff mccracken \| mark blutman & howard bus \| january 3, 1997 \| b733 row 12 : 81 \| 14 \| "wheels" \| jeff mccracken \| jeff sherman \| january 17, 1997 \| b734 row 13 : 82 \| 15 \| "chick like me" \| jeff mccracken \| steve hibbert \| january 31, 1997 \| b731 row 14 : 83 \| 16 \| "a long walk to pittsburgh ( \| jeff mccracken \| matthew nelson \| february 7, 1997 \| b736 row 15 : 84 \| 17 \| "a long walk to pittsburgh ( \| jeff mccracken \| mark blutman & howard bus \| february 14, 1997 \| b737 row 16 : 85 \| 18 \| "uncle daddy" \| jeff mccracken \| steve young \| february 28, 1997 \| b738 row 17 : 86 \| 19 \| "quiz show" \| jeff mccracken \| steve hibbert \| march 21, 1997 \| b735 row 18 : 87 \| 20 \| "security guy" \| jeff mccracken \| steve hibbert \| april 25, 1997 \| b740 row 19 : 88 \| 21 \| "cult fiction" \| jeff mccracken \| jeff menell \| may 2, 1997 \| b739 row 20 : 89 \| 22 \| "learning to fly" \| jeff mccracken \| jeff sherman \| may 9, 1997 \| b741 ] Execute this SQL based on the above table: select ( select no. in series where directed by = 'jeff mccracken' ) - ( select no. in series where directed by = 'jeff mccracken' )	0.0
[ header: album title \| format \| year \| original label \| chart positions row 1 : distant plastic trees \| lp \| 1991 \| red flame \| None row 2 : the wayward bus \| lp \| 1992 \| popup \| None row 3 : the house of tomorrow \| ep \| 1992 \| feel good all over \| None row 4 : the charm of the highway strip \| lp \| 1994 \| merge records \| None row 5 : holiday \| lp \| 1994 \| feel good all over \| None row 6 : get lost \| lp \| 1995 \| merge records \| None row 7 : 69 love songs \| lp \| 1999 \| merge records \| None row 8 : i \| lp \| 2004 \| nonesuch records \| #152 (billboard 200) row 9 : distortion \| lp \| 2008 \| nonesuch records \| #77 (billboard 200) row 10 : realism \| lp \| 2010 \| nonesuch records \| #110 (billboard 200) row 11 : love at the bottom of the sea \| lp \| 2012 \| merge records \| #89 (billboard 200) ] Execute this SQL based on the above table: select chart positions where chart positions in ( 'None' , '#89 (billboard 200)' ) order by year desc limit 1	#89 (billboard 200)
[ 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 ( took office ) where left office = '1 january 1994'	1
[ header: date \| opposition \| result \| score \| brazil scorers \| competition row 1 : 9-jun-68 \| uruguay \| w \| feb-00 \| tostao, sadi \| taca rio branco row 2 : 12-jun-68 \| uruguay \| w \| apr-00 \| paulo borges, tosta \| taca rio branco row 3 : 16-jun-68 \| west germany \| l \| 2-jan \| tostao \| international friendly row 4 : 20-jun-68 \| poland \| w \| 3-jun \| rivelino (2), j \| international friendly row 5 : 23-jun-68 \| czechoslovakia \| l \| 3-feb \| natal, carlos alberto tor \| international friendly row 6 : 25-jun-68 \| yugoslavia \| w \| feb-00 \| carlos alberto torres, \| international friendly row 7 : 30-jun-68 \| portugal \| w \| feb-00 \| rivelino, tostao \| international friendly row 8 : 7-jul-68 \| mexico \| w \| feb-00 \| jairzinho (2) \| international friendly row 9 : 10-jul-68 \| mexico \| l \| 2-jan \| rivelino \| international friendly row 10 : 14-jul-68 \| peru \| w \| 3-apr \| natal, jairzinho, \| international friendly row 11 : 17-jul-68 \| peru \| w \| apr-00 \| rivelino, gerson \| international friendly row 12 : 25-jul-68 \| paraguay \| w \| apr-00 \| pele (2), toninho guerreir \| taca oswaldo cruz row 13 : 28-jul-68 \| paraguay \| l \| 0-1 \| None \| taca oswaldo cruz row 14 : 7-aug-68 \| argentina \| w \| 1-apr \| waltencir, roberto mir \| international friendly row 15 : 11-aug-68 \| argentina \| w \| 2-mar \| evaldo, rodrigues \| international friendly row 16 : 31-oct-68 \| mexico \| l \| 2-jan \| carlos alberto torres \| international friendly row 17 : 3-nov-68 \| mexico \| w \| 1-feb \| pele, jairzinho \| international friendly row 18 : 6-nov-68 \| fifa xi \| w \| 1-feb \| rivelino, tostao \| international friendly (unofficial match) row 19 : 13-nov-68 \| coritiba \| w \| 1-feb \| dirceu lopes, ze car \| international friendly (unofficial match) row 20 : 14-dec-68 \| west germany \| d \| 2-feb \| eduardo (2) \| international friendly row 21 : 17-dec-68 \| yugoslavia \| d \| 3-mar \| carlos alberto torres, \| international friendly row 22 : 19-dec-68 \| yugoslavia \| w \| 2-mar \| vaguinho, amauri, r \| international friendly ] Execute this SQL based on the above table: select count ( * ) where competition = 'taca rio branco'	2
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| enfield \| 1-1 \| leyton orient \| 19 november 1988 row 2 : replay \| leyton orient \| 2-2 \| enfield \| 23 november 1988 row 3 : replay \| leyton orient \| 0-1 \| enfield \| 28 november 1988 row 4 : 2 \| blackpool \| 2-1 \| scunthorpe united \| 19 november 1988 row 5 : 3 \| darlington \| 1-2 \| notts county \| 19 november 1988 row 6 : 4 \| bath city \| 2-0 \| grays athletic \| 19 november 1988 row 7 : 6 \| burnley \| 0-2 \| chester city \| 19 november 1988 row 8 : 7 \| preston north end \| 1-1 \| tranmere rovers \| 19 november 1988 row 9 : replay \| tranmere rovers \| 3-0 \| preston north end \| 22 november 1988 row 10 : 9 \| reading \| 4-2 \| hendon \| 19 november 1988 row 11 : 10 \| woking \| 1-4 \| cambridge united \| 19 november 1988 row 12 : 11 \| gillingham \| 3-3 \| peterborough united \| 19 november 1988 row 13 : replay \| peterborough united \| 1-0 \| gillingham \| 23 november 1988 row 14 : 12 \| bolton wanderers \| 0-0 \| chesterfield \| 19 november 1988 row 15 : replay \| chesterfield \| 2-3 \| bolton wanderers \| 28 november 1988 row 16 : 13 \| grimsby town \| 1-0 \| wolverhampton wanderers \| 19 november 1988 row 17 : 14 \| stafford rangers \| 2-2 \| crewe alexandra \| 19 november 1988 row 18 : replay \| crewe alexandra \| 3-2 \| stafford rangers \| 22 november 1988 row 19 : 15 \| scarborough \| 2-1 \| stockport county \| 19 november 1988 row 20 : replay \| doncaster rovers \| 2-1 \| brandon united \| 22 november 1988 row 21 : 17 \| fulham \| 0-1 \| colchester united \| 19 november 1988 row 22 : 18 \| brentford \| 2-0 \| halesowen town \| 19 november 1988 row 23 : 20 \| altrincham \| 3-2 \| lincoln city \| 19 november 1988 row 24 : 23 \| mansfield town \| 1-1 \| sheffield united \| 19 november 1988 row 25 : replay \| sheffield united \| 2-1 \| mansfield town \| 22 november 1988 row 26 : 25 \| halifax town \| 1-0 \| york city \| 19 november 1988 row 27 : 27 \| southport \| 0-2 \| port vale \| 19 november 1988 row 28 : 28 \| runcorn \| 2-2 \| wrexham \| 19 november 1988 row 29 : replay \| wrexham \| 2-3 \| runcorn \| 22 november 1988 row 30 : 29 \| torquay united \| 2-2 \| fareham town \| 19 november 1988 row 31 : 30 \| kettering town \| 2-1 \| dartford \| 19 november 1988 row 32 : 31 \| rotherham united \| 3-1 \| barrow \| 19 november 1988 row 33 : 34 \| waterlooville \| 1-4 \| aylesbury united \| 19 november 1988 row 34 : 35 \| telford united \| 1-1 \| carlisle united \| 19 november 1988 row 35 : replay \| carlisle united \| 4-1 \| telford united \| 22 november 1988 row 36 : 36 \| swansea city \| 3-1 \| northampton town \| 19 november 1988 row 37 : 37 \| frickley athletic \| 0-2 \| northwich victoria \| 19 november 1988 row 38 : 38 \| hartlepool united \| 2-0 \| wigan athletic \| 19 november 1988 row 39 : 39 \| welling united \| 3-0 \| bromsgrove rovers \| 19 november 1988 ] Execute this SQL based on the above table: select date where home team > ( select home team where date = '19 november 1988' ) order by home team limit 1	19 november 1988
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where tier < 4	19th
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 2004 \| estadio cuscatlan, \| el salvador \| 2-0 \| 2-0 \| 2006 fifa world cup qualification row 2 : 2 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 3-0 \| 6-0 \| 2006 fifa world cup qualification row 3 : 3 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 4-0 \| 6-0 \| 2006 fifa world cup qualification row 4 : 4 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 5-0 \| 6-0 \| 2006 fifa world cup qualification row 5 : 5 \| 17 november 2004 \| columbus crew stadium, columbus, \| jamaica \| 1-0 \| 1-1 \| 2006 fifa world cup qualification row 6 : 6 \| 9 february 2005 \| queen's park oval, port of spain \| trinidad and tobago \| 1-0 \| 2-1 \| 2006 fifa world cup qualification row 7 : 7 \| 19 march 2005 \| university stadium, albuquerque, united \| honduras \| 1-0 \| 1-0 \| friendly row 8 : 8 \| 30 march 2005 \| legion field, birmingham, united \| guatemala \| 1-0 \| 2-0 \| 2006 fifa world cup qualification row 9 : 9 \| 19 february 2006 \| pizza hut park, frisco, united states \| guatemala \| 3-0 \| 4-0 \| friendly row 10 : 10 \| 9 june 2007 \| the home depot center, carson, united states \| trinidad and tobago \| 2-0 \| 2-0 \| 2007 concacaf gold cup row 11 : 11 \| 28 june 2007 \| estadio jose pachencho \| argentina \| 1-0 \| 1-4 \| 2007 copa america row 12 : 12 \| 15 june 2008 \| the home depot center, carson, united states \| barbados \| 6-0 \| 8-0 \| 2010 fifa world cup qualification row 13 : 13 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 1-0 \| 2-1 \| 2014 fifa world cup qualification row 14 : 14 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 2-1 \| 2-1 \| 2014 fifa world cup qualification row 15 : 15 \| 12 june 2013 \| centurylink field, seattle, united states \| panama \| 2-0 \| 2-0 \| 2014 fifa world cup qualification row 16 : 16 \| 21 july 2013 \| m&t bank stadium, balti \| el salvador \| 3-1 \| 5-1 \| 2013 concacaf gold cup row 17 : 17 \| 24 july 2013 \| cowboys stadium, arlington, united \| honduras \| 1-0 \| 3-1 \| 2013 concacaf gold cup row 18 : 18 \| 14 august 2013 \| asim ferhatovic hase stadium, \| bosnia and herzegovin \| 1-2 \| 4-3 \| friendly row 19 : 19 \| 10 september 2013 \| columbus crew stadium, columbus, \| mexico \| 1-0 \| 2-0 \| 2014 fifa world cup qualification ] Execute this SQL based on the above table: select result where venue = 'centurylink field, seattle, united states'	2-0
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select jockey order by runners desc limit 1	fred archer
[ header: \| brand \| active ingredient \| therapeutic area \| pathology row 1 : 1 \| ebastel and others \| ebastine \| respiratory \| allergy row 2 : 2 \| prevencor \| atorvastatin \| cardiovascular \| cholesterol row 3 : 3 \| esertia \| escitalopram \| central nervous system \| depression row 4 : 4 \| plusvent \| salmeterol+fluticasone \| respiratory \| asthma & copd row 5 : 5 \| almogran and others \| almotriptan \| central nervous system \| migraine row 6 : 6 \| parapres \| candesartan cilexetil \| cardiovascular \| hypertension row 7 : 7 \| airtal and others \| aceclofenac \| osteomuscular \| pain row 8 : 8 \| opiren \| lansoprazole \| digestive \| ulcer row 9 : 9 \| dobupal \| venlafaxine \| central nervous system \| depression row 10 : 10 \| tesavel & efficib \| sitagliptin & sitaglip \| gastrointestinal \| diabetes row 11 : 11 \| solaraze \| diclofenac solium + h \| dermatology \| actinic keratoses row 12 : 12 \| almax and others \| almagate \| gastrointestinal \| antacid row 13 : 13 \| balneum and others \| soya oil \| dermatology \| atopic dermatitis row 14 : 14 \| pantopam \| pantoprazole \| gastrointestinal \| gastroesophageal reflux row 15 : 15 \| decoderm tri and others \| fluprednidene \| dermatology \| mycotic dermatitis ] Execute this SQL based on the above table: select active ingredient where id = 1	ebastine
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select div sec division where camp = 'sirukandal' order by 16 feb asc limit 264	nanaddan
[ header: launch date \| operator \| name \| sample origin \| samples returned \| recovery date \| mission result row 1 : june 14, 1969 \| None \| luna e-8-5 no.402 \| the moon \| none \| None \| failure launch failure row 2 : july 13, 1969 \| None \| luna 15 \| the moon \| none \| None \| failure crash-landed on the moon row 3 : 23 september 1969 \| None \| cosmos 300 \| the moon \| none \| None \| failure failed to leave earth orbit row 4 : 22 october 1969 \| None \| cosmos 305 \| the moon \| none \| None \| failure failed to leave earth orbit row 5 : 6 february 1970 \| None \| luna e-8-5 no.405 \| the moon \| none \| None \| failure launch failure row 6 : september 12, 1970 \| None \| luna 16 \| the moon \| 101 grams (3.6 oz) of lunar \| september 24, 1970 \| success row 7 : september 2, 1971 \| None \| luna 18 \| the moon \| none \| None \| failure crash-landed on the moon row 8 : february 14, 1972 \| None \| luna 20 \| the moon \| 55 grams (1.9 oz) of lunar \| february 25, 1972 \| success row 9 : november 2, 1974 \| None \| luna 23 \| the moon \| none \| None \| failure drilling device damaged on moon landing mission abandoned row 10 : october 16, 1975 \| None \| luna e-8-5m no.412 \| the moon \| none \| None \| failure launch failure row 11 : august 9, 1976 \| None \| luna 24 \| the moon \| 170 grams (6.0 oz) of \| august 22, 1976 \| success row 12 : 1979 (planned) (canceled 1977) \| None \| mars 79 ("mars 5m") \| mars \| None \| None \| canceled in 1977 planned to return 500 grams (18 row 13 : february 7, 1999 \| None \| stardust \| 81p/wild (comet \| over 1 million comet particles \| january 15, 2006 \| success row 14 : august 8, 2001 \| None \| genesis \| solar wind \| solar wind particles \| september 8, 2004 \| partial success return capsule damaged after failed parachute row 15 : may 9, 2003 \| None \| hayabusa \| 25143 itokawa (asteroid surface) \| 1,500 grains of asteroid particles \| june 13, 2010 \| partial success planned to return several hundred milligram row 16 : november 8, 2011 \| None \| fobos-grunt \| phobos (mars satellite soil) \| none \| None \| failure failed to leave earth orbit crashed into the southern row 17 : july 2014 (planned, earliest) \| None \| hayabusa 2 \| planned for (162173) 1999 ju3 \| None \| 2020 (planned) \| None row 18 : 2016 (planned) \| None \| osiris-rex \| planned for 101955 bennu ( \| None \| 2023 (planned) \| planned to return between 60 g to 2 kg row 19 : 2017 (planned) \| None \| chang'e 5 \| the moon \| None \| 2017 (planned) \| planned to return at least 2 kilograms (4.4 row 20 : 2020-2022 (proposed) \| None \| marcopolo-r \| near-earth object (asteroid surface) \| None \| to be determined \| to return samples from a yet to be determined row 21 : 2020/2021 (planned) \| None \| luna-grunt \| the moon \| None \| 2021 (planned) \| planned to return up to 1 kilogram (2.2 row 22 : mid-2020s (proposed) \| None \| meji msr \| mars \| None \| to be determined \| to be determined row 23 : mid-2020s (proposed) \| None \| mars-grunt \| mars \| None \| to be determined \| intended to return about 200 grams (7.1 o row 24 : by 2030 \| None \| chinese mars sample return mission \| mars \| None \| to be determined \| to be determined ] Execute this SQL based on the above table: select name where id = 1	luna e-8-5 no.402
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select count ( site ) where time >= '1:30 pm'	0
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select count ( title ) where title = '"searching (for someone like you)"'	1
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select date order by attendance desc limit 1	may 31
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select venue where venue != 'osaka, japan' and competition = ( select competition where venue = 'osaka, japan' and event = 'marathon' )	helsinki, finland
[ header: year \| winner \| album \| other finalists row 1 : 2002 \| che fu \| navigator \| dark tower - canterbury drafts row 2 : 2003 \| nesian mystik \| polysaturated \| deceptikonz - elimination p row 3 : 2004 \| scribe \| the crusader \| king kapisi - 2nd row 4 : 2005 \| p-money \| magic city \| tha feelstyle - break it to row 5 : 2006 \| frontline \| borrowed time \| nesian mystik - fresh row 6 : 2007 \| pnc \| rookie card \| 4 corners - the foundations decepti row 7 : 2008 \| scribe \| rhyme book \| mareko - white sunday 2: the row 8 : 2009 \| ladi6 \| time is not much \| savage - savage row 9 : 2010 \| david dallas \| something awesome \| j. williams - young row 10 : 2011 \| ladi6 \| the liberation of \| david dallas - the rose row 11 : 2012 \| home brew \| home brew \| adeaze - rise & row 12 : 2013 \| aaradhna \| treble & reverb \| at peace - girl songs p-money ] Execute this SQL based on the above table: select count ( other finalists ) where year > 5	12
[ header: year \| show \| role \| channel \| extra row 1 : 2004 \| boogie woogie-chalo \| dance contestant \| set (sony entertainment television) \| finalist (top 5) row 2 : 2007 (may-october) \| saregamapa challenge \| singing contestant \| zee network \| finalist (top 7) row 3 : 2008 (march-may) \| rock n roll family \| host \| zee network \| None row 4 : 2010 ( released dec. 5th) \| ek anhonee (tele- \| lead role (divyani) \| zoom \| None row 5 : 2011 (june-july) \| khatron ke khiladi \| celebrity contestant \| colors \| finalist (top 2) row 6 : 2012 (feb) \| kahani comedy circus ki \| guest appearance (15 episodes) \| set (sony entertainment television) \| None row 7 : 2013 (feb) \| welcome - baazi mehma \| herself \| life ok \| None ] Execute this SQL based on the above table: select role where channel > ( select channel where role = 'host' ) order by channel limit 1	lead role (divyani)
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select menteri besar where # = 5	abdul hamid yusof
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select max ( distance )	20.45
[ header: date \| name of ship \| nationality \| tonnage \| fate row 1 : 5 june 1940 \| ss stancor \| united kingdom \| 798 \| sunk at 58°48′n row 2 : 7 june 1940 \| ss frances massey \| united kingdom \| 4212 \| sunk at 55°33′n 08 row 3 : 7 june 1940 \| ss eros \| united kingdom \| 5888 \| damaged at 55°33′n 08°26 row 4 : 11 june 1940 \| ss violando n go \| greece \| 2375 \| sunk at 44°04′n 12 row 5 : 19 june 1940 \| mv tudor \| norway \| 6607 \| sunk at 45°10′n 11 row 6 : 19 june 1940 \| ss baron loudoun \| united kingdom \| 3164 \| sunk at 45°00′n 11 row 7 : 19 june 1940 \| ss british monarch \| united kingdom \| 5661 \| sunk at 45°00′n 11 row 8 : 20 june 1940 \| mv moerdrecht \| netherlands \| 7493 \| sunk at 43°34′n 14 row 9 : 16 august 1940 \| ss hedrun \| sweden \| 2325 \| sunk at 57°10′n row 10 : 19 august 1940 \| ss ville de gand \| belgium \| 7590 \| sunk at 55°28′n 15 row 11 : 24 august 1940 \| ss la brea \| united kingdom \| 6666 \| sunk at 57°24′n row 12 : 25 august 1940 \| ss empire merlin \| united kingdom \| 5763 \| sunk at 58°30′n row 13 : 25 august 1940 \| mv athelcrest \| united kingdom \| 6825 \| sunk at 58°24′n ] Execute this SQL based on the above table: select count ( * ) where fate = 'sunk at 58°30′n 10°15′w / 58.500°n 10.250°w'	1
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select rider where rider = 'bob harrison'	bob harrison
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select division where id = ( select id where division = '1a reg' ) - 1	reg. pref
[ 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 member of legislative assembly where constituency number < 51 order by constituency number desc limit 1	rafiqul islam
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select name where nationality = 'el salvador'	ruben calderon
[ header: year \| name \| source \| definition row 1 : c. 486 bc \| hidush \| naksh-i-rustam \| "says darius the king: by row 2 : c.400-300 bc \| hodu \| book of esther \| says "now it took place in the days of row 3 : c. 440 bc \| india \| herodotus \| "eastward of india lies a tract which row 4 : 320 ce or later \| bharatam \| vishnu purana \| "उततर यतसमदरसय हिमादरशचव दकषिणम । row 5 : c. 650 \| five indies \| xuanzang \| "the circumference of 五印 (modern row 6 : 1298 \| india the greater india the minor middle india \| marco polo \| "india the greater is that which extends row 7 : c. 1328 \| india \| friar jordanus \| "what shall i say? the great- ] Execute this SQL based on the above table: select definition where definition != '"india the greater is that which extends from maabar to kesmacoran (i.e. from coromandel to mekran), and it contains 13 great kingdoms. . . . india the lesser extends from the province of champa to mutfili (i.e. from cochin-china to the kistna delta), and contains 8 great kingdoms. . . . abash (abyssinia) is a very great province, and you must know that it constitutes the middle india."' group by definition having count ( * ) = ( select count ( * ) where definition = '"india the greater is that which extends from maabar to kesmacoran (i.e. from coromandel to mekran), and it contains 13 great kingdoms. . . . india the lesser extends from the province of champa to mutfili (i.e. from cochin-china to the kistna delta), and contains 8 great kingdoms. . . . abash (abyssinia) is a very great province, and you must know that it constitutes the middle india."' )	"eastward of india lies a tract which is entirely sand. indeed, of all the inhabitants of asia, concerning whom anything is known, the indians dwell nearest to the east, and the rising of the sun.", "says darius the king: by the grace of ormazd these (are) the countries which i have acquired besides persia. i have established my power over them. they have brought tribute to me. that which has been said to them by me they have done. they have obeyed my law. medea... arachotia (harauvatish), sattagydia (thatagush), gandaria (gadara), india (hidush)....", "the circumference of 五印 (modern chinese: wu yin, the five indies) is about 90,000 li; on three sides it is bounded by a great sea; on the north it is backed by snowy mountains. it is wide at the north and narrow at the south; its figure is that of a half-moon.", "what shall i say? the great- ness of this india is beyond description. but let this much suffice concerning india the greater and the less. of india tertia i will say this, that i have not indeed seen its many marvels, not having been there. . . .", "उततर यतसमदरसय हिमादरशचव दकषिणम । वरष तद भारत नाम भारती यतर सततिः ।।" i.e. "the country (varsam) that lies north of the ocean and south of the snowy mountains is called bharatam; there dwell the descendants of bharata.", says "now it took place in the days of ahasuerus, the ahasuerus who reigned from hodu(india) to cush(ethiopia) over 127 provinces"
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select count ( * ) where name = 'kanaha pond'	1
[ header: against \| played \| won \| drawn \| lost \| win % row 1 : andorra \| 3 \| 3 \| 0 \| 0 \| 100% row 2 : argentina \| 4 \| 0 \| 0 \| 4 \| 0% row 3 : australia \| 1 \| 0 \| 0 \| 1 \| 0% row 4 : australia emerging \| 1 \| 0 \| 1 \| 0 \| 0% row 5 : belgium \| 14 \| 12 \| 1 \| 1 \| 85.71% row 6 : canada \| 1 \| 0 \| 0 \| 1 \| 0% row 7 : chile \| 4 \| 2 \| 0 \| 2 \| 50% row 8 : croatia \| 2 \| 1 \| 1 \| 0 \| 50% row 9 : denmark \| 1 \| 1 \| 0 \| 0 \| 100% row 10 : england a \| 7 \| 0 \| 0 \| 7 \| 0% row 11 : england counties \| 1 \| 0 \| 0 \| 1 \| 0% row 12 : royal air force rugby team \| 4 \| 0 \| 2 \| 2 \| 0% row 13 : fiji \| 1 \| 0 \| 0 \| 1 \| 0% row 14 : france \| 24 \| 0 \| 0 \| 24 \| 0% row 15 : france a \| 2 \| 0 \| 0 \| 2 \| 0% row 16 : france u \| 2 \| 1 \| 0 \| 1 \| 50% row 17 : french protectorate of morocco \| 4 \| 1 \| 1 \| 2 \| 25% row 18 : georgia \| 12 \| 3 \| 1 \| 8 \| 25% row 19 : germany \| 7 \| 6 \| 0 \| 1 \| 85.71% row 20 : hungary \| 1 \| 1 \| 0 \| 0 \| 100% row 21 : italy \| 27 \| 3 \| 1 \| 23 \| 11.11% row 22 : japan \| 3 \| 0 \| 0 \| 3 \| 0% row 23 : moldova \| 1 \| 1 \| 0 \| 0 \| 100% row 24 : morocco \| 17 \| 10 \| 1 \| 6 \| 58.82% row 25 : namibia \| 2 \| 2 \| 0 \| 0 \| 100% row 26 : netherlands \| 13 \| 12 \| 1 \| 0 \| 92.31% row 27 : new zealand services \| 2 \| 0 \| 0 \| 2 \| 0% row 28 : poland \| 16 \| 10 \| 0 \| 6 \| 62.50% row 29 : portugal \| 33 \| 21 \| 2 \| 10 \| 63.63% row 30 : czech republic \| 8 \| 2 \| 0 \| 6 \| 75% row 31 : romania \| 29 \| 2 \| 0 \| 27 \| 6.90% row 32 : russia \| 16 \| 2 \| 0 \| 14 \| 12.50% row 33 : scotland \| 8 \| 0 \| 0 \| 8 \| 0% row 34 : slovenia \| 1 \| 1 \| 0 \| 0 \| 100% row 35 : south africa \| 1 \| 0 \| 0 \| 1 \| 0% row 36 : south africa "a" \| 1 \| 0 \| 0 \| 1 \| 0% row 37 : soviet union \| 7 \| 0 \| 0 \| 7 \| 0% row 38 : sweden \| 2 \| 2 \| 0 \| 0 \| 100% row 39 : switzerland \| 1 \| 1 \| 0 \| 0 \| 100% row 40 : tunisia \| 6 \| 1 \| 0 \| 5 \| 83.33% row 41 : ukraine \| 2 \| 2 \| 0 \| 0 \| 100% row 42 : uruguay \| 7 \| 3 \| 0 \| 4 \| 42.86% row 43 : united states \| 3 \| 0 \| 0 \| 3 \| 0% row 44 : wales a \| 3 \| 0 \| 0 \| 3 \| 0% row 45 : yugoslavia \| 4 \| 4 \| 0 \| 0 \| 100% row 46 : zimbabwe \| 7 \| 5 \| 0 \| 2 \| 71.43% row 47 : total \| 336 \| 126 \| 14 \| 197 \| 37.50% ] Execute this SQL based on the above table: select win % order by against desc limit 1	71.43%
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select represent where contestant = 'swany cisney castillo'	15.0
[ header: courthouse \| city \| street address \| jurisdiction \| dates of use \| named for row 1 : u.s. post office and court house \| brattleboro \| None \| d. vt \| 1917-present \| row 2 : u.s. post office and court house \| burlington \| 175 main street \| d. vt \| 1870-1982 destroyed by fire in 1982 \| row 3 : federal building, post office and court house \| burlington \| 11 elmwood avenue \| d. vt \| 1958-present \| row 4 : u.s. post office and court house \| montpelier \| None \| d. vt \| 1894-1948 razed ca. \| row 5 : federal building \| montpelier \| state street \| d. vt \| 1964-1996 still in use as a post \| row 6 : u.s. court house, post office \| newport \| None \| d. vt \| 1904-1948 now the orleans county \| row 7 : u.s. court house and post office \| rutland \| 10 court street \| d. vt \| 1859-1933 now the rutland \| row 8 : u.s. court house and post office \| rutland \| None \| d. vt \| 1933-present \| row 9 : u.s. court house and post office \| windsor \| 57 main st \| d. vt \| 1858-present still in use as a \| ] Execute this SQL based on the above table: select street address where courthouse = 'federal building, post office and court house'	11 elmwood avenue
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select rider where rider = 'tommy croombs' order by semi-final points desc limit 1	tommy croombs
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( record )	10
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select division where place = '19th' order by id desc limit 1	3a
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select outcome order by no. desc limit 1	winner
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select position order by venue desc limit 1	2nd
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select geographic coordinates where geographic coordinates in ( 'None' , '39°16′8′′n 95°7′33′′w / 39.26889°n 95.12583°w' ) order by population limit 763	39°16′8′′n 95°7′33′′w / 39.26889°n 95.12583°w
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select count ( * ) where parent = 'mont blanc'	7
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select count ( finish )	25
[ header: product \| main functionality \| input format \| output format \| platform \| license and cost \| notes row 1 : graphstream \| dynamic graph library \| graphstream(.dgs), graphviz \| graphstream(.dgs), graphviz \| any system supporting java \| open source \| with graphstream you deal with graphs. static row 2 : java universal network/graph (jung) framework \| network and graph manipulation, analysis, and visualization \| built-in support for graphml, pa \| built-in support for graphml, pa \| any platform supporting java \| open source (bsd license) \| jung is a java api and row 3 : svat \| visual analytics for investigation \| graphviz(.dot), graphlet \| guess(.gdf), gephi( \| any system supporting java 1.6 and openg \| closed source modules, open source modules from gephi \| commercial tool based on gephi ] Execute this SQL based on the above table: select license and cost where license and cost in ( 'manchester united' , 'closed source modules, open source modules from gephi' ) order by product desc limit 1	closed source modules, open source modules from gephi
[ header: place \| player \| country \| score \| to par row 1 : 1 \| dustin johnson \| united states \| 71-70-66=207 \| -6 row 2 : 2 \| graeme mcdowell \| northern ireland \| 71-68-71=210 \| -3 row 3 : 3 \| tiger woods \| united states \| 74-72-66=212 \| -1 row 4 : t4 \| ernie els \| south africa \| 73-68-72=213 \| e row 5 : t4 \| gregory havret \| france \| 73-71-69=213 \| e row 6 : 6 \| phil mickelson \| united states \| 75-66-73=214 \| 1 row 7 : t7 \| alex cejka \| germany \| 70-72-74=216 \| 3 row 8 : t7 \| tim clark \| south africa \| 72-72-72=216 \| 3 row 9 : t7 \| ryo ishikawa \| japan \| 70-71-75=216 \| 3 row 10 : t10 \| martin kaymer \| germany \| 74-71-72=217 \| 4 row 11 : t10 \| davis love iii \| united states \| 75-74-68=217 \| 4 row 12 : t10 \| sean o'hair \| united states \| 76-71-70=217 \| 4 ] Execute this SQL based on the above table: select count ( player ) where to par - to par > 3	0
[ header: polling firm \| month \| link \| favor \| oppose row 1 : rutgers-eagleton \| march 2014 \| None \| 64 \| 28 row 2 : quinnipiac \| july 2013 \| None \| 60 \| 31 row 3 : rutgers-eagleton \| june 2013 \| None \| 59 \| 30 row 4 : quinnipiac \| march 2013 \| None \| 64 \| 30 row 5 : public policy polling \| november 2012 \| None \| 53 \| 36 row 6 : quinnipiac \| february 2012 \| None \| 57 \| 37 row 7 : rutgers-eagleton \| february 2012 \| None \| 54 \| 35 row 8 : quinnipiac \| january 2012 \| None \| 52 \| 42 row 9 : rutgers-eagleton \| october 2011 \| None \| 52 \| 39 row 10 : rutgers-eagleton \| august 2011 \| None \| 52 \| 32 row 11 : public policy polling \| july 2011 \| None \| 47 \| 42 row 12 : quinnipiac \| november 2009 \| None \| 46 \| 49 row 13 : rutgers-eagleton \| november 2009 \| None \| 50 \| 42 row 14 : quinnipiac \| april 2009 \| None \| 49 \| 43 row 15 : zogby international \| august 2008 \| None \| 50 \| 42 row 16 : zogby international \| august 2007 \| None \| 48.1 \| 44.6 row 17 : rasmussen reports \| july 2006 \| None \| 42 \| 54 row 18 : rutgers-eagleton \| june 2006 \| pdf \| 49 \| 44 row 19 : zogby international \| february 2006 \| None \| 56 \| 39 row 20 : zogby international \| april 2005 \| html \| 54.5 \| 40.1 row 21 : rutgers-eagleton \| september 2003 \| pdf \| 43 \| 50 row 22 : zogby international \| july 2003 \| None \| 55 \| 41 ] Execute this SQL based on the above table: select polling firm order by favor asc limit 1	rasmussen reports
[ header: site name \| reason for designation biological interest \| reason for designation geological interest \| area hectares \| area acres \| coordinates & grid ref \| year in which notified \| other designations \| map & citation row 1 : bradwell meadows \| \| \| 0.9 \| 2.3 \| 53°19′19′′n 1°44 \| 1990 \| None \| map row 2 : cawdor quarry \| \| \| 4.7 \| 11.7 \| 53°08′28′′n 1°34 \| 1963 \| gcr \| map row 3 : cressbrook dale \| \| \| 120.4 \| 297.6 \| 53°15′47′′n 1°44 \| 1954 \| gcr, nnr, \| map row 4 : duckmanton railway cutting \| \| \| 3.8 \| 9.4 \| 53°13′41′′n 1°22 \| 1974 \| gcr \| map row 5 : fox hole cave \| \| \| 0.2 \| 0.4 \| 53°11′31′′n 1°51 \| 1986 \| gcr \| map row 6 : goyt valley \| \| \| 1,332.6 \| 3,292.9 \| 53°16′05′′n 1°57 \| 1951 \| spa, sac \| map row 7 : hipley hill \| \| \| 22.1 \| 54.6 \| 53°05′24′′n 1°40 \| 1963 \| None \| map row 8 : jumble coppice \| \| \| 0.7 \| 1.8 \| 53°14′42′′n 1°36 \| 1985 \| gcr \| map row 9 : leek moors \| \| \| 3,970.8 \| 9,812.2 \| 53°10′52′′n 1°59 \| 1954 \| spa, esa, gc \| map row 10 : long dale, hartington \| \| \| 53.5 \| 132.1 \| 53°09′04′′n 1°47 \| 1997 \| sac \| map row 11 : moss valley \| \| \| 26.1 \| 64.5 \| 53°18′58′′n 1°22 \| 1951 \| None \| map row 12 : moss valley woods \| \| \| 17.9 \| 44.2 \| 53°19′01′′n 1°26 \| 1993 \| None \| map row 13 : pleasley vale railway \| \| \| 3.5 \| 8.7 \| 53°10′41′′n 1°13 \| 1981 \| lnr \| map row 14 : teversal to pleasley railway \| \| \| 5 \| 12.4 \| 53°09′54′′n 1°16 \| 1982 \| lnr, wt \| map row 15 : upper lathkill \| \| \| 26.8 \| 66.3 \| 53°12′18′′n 1°47 \| 1989 \| gcr, np \| map ] Execute this SQL based on the above table: select abs ( other designations - other designations ) where site name = 'leek moors'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select time/retired where grid = 14	1.0
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select result f - a where attendance = 24003	2 - 0
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select abs ( ( select def where opponent = 'new jersey nets' ) - ( select def where opponent = 'indiana pacers' ) )	7.0
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select record order by time (s) desc limit 1	track
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select low where low = 12980	12980
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select count ( * ) where # > #	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select date where score = '1-0' and competition > ( select competition where score = '1-0' order by competition limit 1 ) order by competition limit 1	12 april 2006
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select ( select passes defended where team = 'buf' ) = ( select passes defended where team = 'buf' )	1
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select rank# where rank# in ( '#15' , '#15' ) order by attendance desc limit 1	#15
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1997 \| central american games \| san pedro sul \| 2nd \| 10,000 m \| None row 2 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 6th \| 5000 m \| 14:57.04 row 3 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 10,000 m \| 30:53.52 row 4 : 2001 \| central american games \| guatemala city, guate \| 1st \| 5000 m \| 14:28.91 a row 5 : 2001 \| central american games \| guatemala city, guate \| 2nd \| 10,000 m \| 30:43.86 a row 6 : 2002 \| central american championships \| san jose, costa ric \| 2nd \| 5000 m \| 14:30.14 row 7 : 2002 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 30:05.31 row 8 : 2003 \| central american championships \| guatemala city, guate \| 1st \| 5000 m \| 15:19.35 row 9 : 2003 \| central american championships \| guatemala city, guate \| 1st \| 10,000 m \| 30:16.25 row 10 : 2003 \| pan american games \| santo domingo, dominican \| None \| 5000 m \| dnf row 11 : 2003 \| pan american games \| santo domingo, dominican \| 7th \| 10,000 m \| 30:26.61 row 12 : 2004 \| olympic games \| athens, greece \| 64th \| marathon \| 2:27:13 row 13 : 2005 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 30:11.54 row 14 : 2006 \| ibero-american championships \| ponce, puerto rico \| 8th \| 5000 m \| 14:31.55 row 15 : 2006 \| central american and caribbean games \| cartagena, colombia \| 6th \| 5000 m \| 14:27.54 row 16 : 2006 \| central american and caribbean games \| cartagena, colombia \| 4th \| 10,000 m \| 30:09.31 row 17 : 2007 \| central american championships \| san jose, costa ric \| 1st \| 5000 m \| 14:42.08 row 18 : 2007 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 29:53.61 row 19 : 2007 \| nacac championships \| san salvador, el \| 1st \| 5000 m \| 14:33.31 row 20 : 2007 \| nacac championships \| san salvador, el \| 1st \| 10,000 m \| 29:42.11 row 21 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| marathon \| 2:14:27 row 22 : 2008 \| olympic games \| beijing, pr china \| 35th \| marathon \| 2:20:15 row 23 : 2009 \| central american championships \| guatemala city, guate \| 1st \| 5000 m \| 14:55.44 row 24 : 2010 \| central american and caribbean games \| mayaguez, puerto ric \| 1st \| marathon \| 2:21:35 row 25 : 2011 \| pan american games \| guadalajara, me \| 5th \| marathon \| 2:20:27 sb row 26 : 2012 \| olympic games \| london, united kingdom \| 38th \| marathon \| 2:18:23 ] Execute this SQL based on the above table: select ( select year where venue = 'beijing, pr china' ) - 2004	4
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select count ( change ) where change = '-0.9%'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| yehuda ta \| "na'ara" \| 43 \| 4th (tie) row 2 : 2 \| shlishiyat adama \| "la ve'li" \| 17 \| 10th (tie) row 3 : 3 \| miri aloni \| "kmo ha'emuna" \| 26 \| 8th row 4 : 4 \| moti giladi and \| "yavo yom" \| 66 \| 1st row 5 : 5 \| boaz sharabi \| "halevai" \| 1 \| 12th row 6 : 6 \| doron mazar \| "nagni li balala \| 56 \| 2nd row 7 : 7 \| rita \| "shvil ha'bricha" \| 43 \| 4th (tie) row 8 : 8 \| shula chen \| "gitara" \| 17 \| 10th (tie) row 9 : 9 \| arba lev adom \| "yesh" \| 24 \| 9th row 10 : 10 \| isolir band \| "kafe o te" \| 40 \| 6th row 11 : 11 \| tzvika pick \| "layla layla" \| 27 \| 7th row 12 : 12 \| chaim moshe \| "le'chaim" \| 46 \| 3rd ] Execute this SQL based on the above table: select place where points = 1	12th
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( * ) where car = 'holden vz commodore'	2
[ header: year \| champion \| score \| runner-up \| coach row 1 : 1954 \| boston college \| 4-1 \| harvard \| john "snooks" kelley row 2 : 1956 \| boston college \| 4-2 \| harvard \| john "snooks" kelley row 3 : 1957 \| boston college \| 5-4 (ot) \| boston university \| john "snooks" kelley row 4 : 1959 \| boston college \| 7-4 \| boston university \| john "snooks" kelley row 5 : 1961 \| boston college \| 4-2 \| harvard \| john "snooks" kelley row 6 : 1963 \| boston college \| 3-1 \| harvard \| john "snooks" kelley row 7 : 1964 \| boston college \| 6-5 \| boston university \| john "snooks" kelley row 8 : 1965 \| boston college \| 5-4 \| boston university \| john "snooks" kelley row 9 : 1976 \| boston college \| 6-3 \| boston university \| len ceglarski row 10 : 1983 \| boston college \| 8-2 \| northeastern \| len ceglarski row 11 : 1994 \| boston college \| 2-1 (ot) \| harvard \| steve cedorchuck row 12 : 2001 \| boston college \| 5-3 \| boston university \| jerry york row 13 : 2004 \| boston college \| 2-1 (ot) \| boston university \| jerry york row 14 : 2008 \| boston college \| 6-5 (ot) \| harvard \| jerry york row 15 : 2010 \| boston college \| 4-3 \| boston university \| jerry york row 16 : 2011 \| boston college \| 7-6 (ot) \| northeastern \| jerry york row 17 : 2012 \| boston college \| 3-2 (ot) \| boston university \| jerry york row 18 : 2013 \| boston college \| 6-3 \| northeastern \| jerry york row 19 : 2014 \| boston college \| 4-1 \| northeastern \| jerry york ] Execute this SQL based on the above table: select score order by year desc limit 1	4-1
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select position where season < ( select season where position = '8th' and level = 'tier 3' ) order by season desc limit 1	9th
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid row 1 : 1 \| 12 \| clay regazzoni \| ferrari \| 60 \| 1:01:25.34 \| 3 row 2 : 2 \| 4 \| patrick depailler \| tyrrell-ford \| 60 \| + 0:08.35 \| 5 row 3 : 3 \| 2 \| jochen mass \| mclaren-ford \| 60 \| + 0:15.44 \| 4 row 4 : 4 \| 5 \| ronnie peterson \| lotus-ford \| 60 \| + 0:40.14 \| 10 row 5 : 5 \| 18 \| john watson \| surtees-ford \| 60 \| + 0:45.55 \| 6 row 6 : 6 \| 8 \| carlos pace \| brabham-ford \| 60 \| + 0:45.90 \| 7 row 7 : 7 \| 16 \| tom pryce \| shadow-ford \| 60 \| + 0:46.66 \| 8 row 8 : 8 \| 24 \| james hunt \| hesketh-ford \| 59 \| + 1 lap \| 11 row 9 : 9 \| 31 \| chris amon \| ensign-ford \| 59 \| + 1 lap \| 9 row 10 : 10 \| 21 \| jacques laffite \| williams-ford \| 59 \| + 1 lap \| 13 row 11 : 11 \| 9 \| vittorio brambilla \| march-ford \| 58 \| + 2 laps \| 12 row 12 : 12 \| 22 \| rolf stommelen \| hill-ford \| 58 \| + 2 laps \| 14 row 13 : 13 \| 35 \| tony trimmer \| maki-ford \| 54 \| + 6 laps \| 16 row 14 : nc \| 20 \| jo vonlanthen \| williams-ford \| 51 \| + 9 laps \| 15 row 15 : ret \| 17 \| jean-pierre jarier \| shadow-ford \| 33 \| transmission \| 1 row 16 : ret \| 1 \| emerson fittipaldi \| mclaren-ford \| 6 \| clutch \| 2 ] Execute this SQL based on the above table: select constructor where constructor != 'hesketh-ford' and laps = ( select laps where constructor = 'hesketh-ford' )	ensign-ford, williams-ford
[ header: township \| fips \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alta \| 1500 \| 221 \| 2 (6) \| 93 (36) \| 0 (0) \| 0.48% \| 38°7′27′′n 97° row 2 : burrton \| 9600 \| 1143 \| 12 (32) \| 93 (36) \| 0 (0) \| 0.17% \| 38°1′32′′n 97° row 3 : darlington \| 17025 \| 601 \| 7 (17) \| 92 (35) \| 0 (0) \| 0.10% \| 37°57′5′′n 97° row 4 : emma \| 21025 \| 4181 \| 45 (116) \| 93 (36) \| 0 (0) \| 0% \| 38°8′10′′n 97° row 5 : garden \| 25300 \| 294 \| 3 (8) \| 93 (36) \| 0 (0) \| 0% \| 38°7′44′′n 97° row 6 : halstead \| 29625 \| 353 \| 4 (10) \| 92 (35) \| 0 (0) \| 0.07% \| 38°2′9′′n 97° row 7 : highland \| 31875 \| 415 \| 5 (12) \| 92 (35) \| 0 (0) \| 0.19% \| 38°7′38′′n 97° row 8 : lake \| 37825 \| 173 \| 2 (5) \| 92 (36) \| 1 (0) \| 1.05% \| 37°57′46′′n 97° row 9 : lakin \| 38150 \| 357 \| 4 (10) \| 92 (35) \| 0 (0) \| 0.06% \| 37°57′18′′n 97° row 10 : macon \| 43925 \| 1056 \| 11 (30) \| 92 (36) \| 0 (0) \| 0% \| 38°2′8′′n 97° row 11 : newton \| 50500 \| 1950 \| 28 (73) \| 69 (27) \| 0 (0) \| 0.07% \| 38°3′27′′n 97° row 12 : pleasant \| 56250 \| 439 \| 5 (12) \| 93 (36) \| 1 (0) \| 0.81% \| 38°2′27′′n 97° row 13 : richland \| 59350 \| 360 \| 4 (10) \| 94 (36) \| 0 (0) \| 0.20% \| 37°57′39′′n 97° row 14 : sedgwick \| 63825 \| 1711 \| 18 (48) \| 93 (36) \| 0 (0) \| 0% \| 37°56′24′′n 97° row 15 : walton \| 75225 \| 552 \| 6 (15) \| 95 (37) \| 0 (0) \| 0.06% \| 38°7′26′′n 97° ] Execute this SQL based on the above table: select ( select count ( township ) ) > 1877	0

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[ header: # \| date \| opponent \| score \| site/stadium \| win \| loss \| save \| attendance \| overall record \| ncaat record row 1 : 72 \| june 15 \| rice \| 17-5 \| rosenblatt stadium \| wilson (8-5) \| berry (8-5) \| none \| 18108 \| 43-29 \| 6-2 row 2 : 73 \| june 17 \| north carolina \| 5-3 \| rosenblatt stadium \| breckley (3-2) \| warren (9-2) \| burke (13) \| 23314 \| 44-29 \| 7-2 row 3 : 74 \| june 21 \| north carolina \| 4-3 \| rosenblatt stadium \| white (13-3) \| miller (6-4) \| none \| 18611 \| 44-30 \| 7-3 row 4 : 75 \| june 22 \| north carolina \| 6-1 \| rosenblatt stadium \| allison (4-5) \| moran (1-2) \| none \| 15125 \| 45-30 \| 8-3 row 5 : 76 \| june 23 \| georgia \| 7-6 \| rosenblatt stadium \| harvil (2-1) \| burke (4-6) \| fields (18) \| 19559 \| 45-31 \| 8-4 row 6 : 77 \| june 24 \| georgia \| 19-10 \| rosenblatt stadium \| sprague (6-2) \| dodson (5-5) \| hower (1) \| 17223 \| 46-31 \| 9-4 row 7 : 78 \| june 25 \| georgia \| 6-1 \| rosenblatt stadium \| wilson (5-5) \| moreau (4-4) \| none \| 18932 \| 47-31 \| 10-4 ] Execute this SQL based on the above table: select max ( opponent )	rice
[ header: color & icon \| name \| name \| mark \| first section opened \| last ex- tension \| length \| stations row 1 : yellow \| line 1 \| higashiyama line \| h \| 1957 \| 1982 \| 20.6 km (12.8 mi) \| 22 row 2 : purple \| line 2 \| meijo line \| m \| 1965 \| 1971 \| 8.9 km (5.5 mi) \| 12 row 3 : purple \| line 4 \| meijo line \| m \| 1974 \| 2004 \| 17.5 km (10.9 mi) \| 17 row 4 : purple & white \| line 2 \| meiko line \| e \| 1971 \| None \| 6.0 km (3.7 mi) \| 7 row 5 : blue \| via trackage rights \| meitetsu inuyama line \| None \| 1993 \| None \| 21.4 km (13.3 mi) \| 13 row 6 : blue \| line 3 \| tsurumai line \| t \| 1977 \| 1993 \| 20.4 km (12.7 mi) \| 20 row 7 : blue \| via trackage rights \| meitetsu toyot \| None \| 1979 \| None \| 15.2 km (9.4 mi) \| 8 row 8 : blue \| via trackage rights \| meitetsu mikawa line \| None \| None \| None \| 1.4 km (0.87 mi) \| 2 row 9 : red \| line 6 \| sakura-dori line \| s \| 1989 \| 2011 \| 19.1 km (11.9 mi) \| 21 row 10 : pink \| via trackage rights \| meitetsu komaki line \| None \| 2003 \| None \| 18.3 km (11.4 mi) \| 13 row 11 : pink \| via trackage rights \| meitetsu komaki line \| None \| 2003 \| None \| 2.3 km (1.4 mi) \| 2 row 12 : pink \| line 7 \| kamiiida line \| k \| 2003 \| None \| 0.8 km (0.50 mi) \| 2 ] Execute this SQL based on the above table: select color & icon where color & icon = 'blue' and color & icon = 'blue'	blue, blue, blue, blue
[ header: player \| league \| cup \| europa league \| total row 1 : garra dembele \| 25 \| 3 \| 8 \| 36 row 2 : daniel mladenov \| 5 \| 0 \| 5 \| 10 row 3 : ismail isa \| 3 \| 1 \| 4 \| 8 row 4 : hristo yovov \| 6 \| 0 \| 1 \| 7 row 5 : joazinho \| 2 \| 0 \| 2 \| 4 row 6 : vladimir gadzhe \| 2 \| 1 \| 1 \| 4 row 7 : darko tasevski \| 4 \| 0 \| 0 \| 4 row 8 : alex \| 3 \| 0 \| 0 \| 3 row 9 : jeanvion yulu-mat \| 3 \| 0 \| 0 \| 3 row 10 : mariyan ognyanov \| 2 \| 0 \| 0 \| 2 row 11 : serginho greene \| 1 \| 0 \| 1 \| 2 row 12 : yordan miliev \| 1 \| 0 \| 0 \| 1 row 13 : ivo ivanov \| 1 \| 0 \| 0 \| 1 row 14 : total \| 58 \| 5 \| 22 \| 85 ] Execute this SQL based on the above table: select count ( player ) where cup > 974	0
[ header: pos. \| driver \| co-driver \| car \| time row 1 : 1 \| giandomenico basso \| lorenzo granai \| peugeot 207 s2000 \| 2h28m50.8s row 2 : 2 \| bruno magalhaes \| nuno r. silva \| peugeot 207 s2000 \| +07.3s row 3 : 3 \| miguel nunes \| joao paulo \| mitsubishi lancer x r4 \| + 3m30.8s row 4 : 4 \| pedro meireles \| mario castro \| skoda fabia s2000 \| +3m42.5s row 5 : 5 \| luca betti \| francesco pezzoli \| ford fiesta s2000 \| +4m04.1s row 6 : 6 \| filipe freitas \| daniel figueiroa \| mitsubishi lancer x r4 \| +5m36s row 7 : 7 \| filipe pires \| vasco rodrigues \| mitsubishi lancer x \| +9m11.2s row 8 : 8 \| luis serrado \| joao sousa \| peugeot 206 s1600 \| +10m53.7s row 9 : 9 \| jose camacho \| fernando spinola \| peugeot 206 s1600 \| +13m08.3s row 10 : 10 \| rui conceicao \| duarte coelho \| ford escort cosworth \| +16m50.1s ] Execute this SQL based on the above table: select co-driver where id = ( select id where co-driver = 'joao sousa' ) + 1	fernando spinola
[ header: district \| name \| party \| residence \| first served row 1 : district 1 \| nelson albano \| dem \| vineland \| 2006 row 2 : district 1 \| robert andrzejcza \| dem \| middle twp \| 2013 row 3 : district 2 \| john f. amodeo \| rep \| margate \| 2008 row 4 : district 4 \| paul moriarty \| dem \| washington twp \| 2006 row 5 : district 4 \| gabriela mosquera \| dem \| blackwood \| 2012 row 6 : district 5 \| angel fuentes \| dem \| camden \| 2010 row 7 : district 7 \| troy singleton \| dem \| palmyra \| 2011 row 8 : district 8 \| scott rudder \| rep \| medford \| 2008 row 9 : district 9 \| dianne gove \| rep \| long beach twp \| 2009 row 10 : district 9 \| brian e. rumpf \| rep \| little egg harbor \| 2003 row 11 : district 10 \| david w. wolfe \| rep \| brick \| 1992 row 12 : district 11 \| caroline casagrande \| rep \| colts neck \| 2008 row 13 : district 13 \| amy handlin \| rep \| lincroft \| 2006 row 14 : district 14 \| wayne deangelo \| dem \| hamilton twp \| 2008 row 15 : district 16 \| donna simon \| rep \| whitehouse station \| 2012 row 16 : district 17 \| upendra j. chivukul \| dem \| somerset \| 2002 row 17 : district 18 \| patrick j. diegnan \| dem \| south plainfield \| 2002 row 18 : district 20 \| joseph cryan \| dem \| union twp \| 2002 row 19 : district 21 \| nancy munoz \| rep \| summit \| 2009 row 20 : district 22 \| jerry green \| dem \| plainfield \| 1992 row 21 : district 22 \| linda stender \| dem \| scotch plains \| 2002 row 22 : district 23 \| john dimaio \| rep \| hackettstown \| 2009 row 23 : district 23 \| erik peterson \| rep \| franklin twp \| 2009 row 24 : district 24 \| alison littell mchose \| rep \| franklin \| 2003 row 25 : district 25 \| tony bucco \| rep \| boonton twp \| 2010 row 26 : district 25 \| michael patrick carroll \| rep \| morris twp \| 1996 row 27 : district 26 \| jay webber \| rep \| morris plains \| 2008 row 28 : district 27 \| john f. mckeon \| dem \| west orange \| 2002 row 29 : district 28 \| cleopatra tucker \| dem \| newark \| 2008 row 30 : district 30 \| sean t. kean \| rep \| wall twp \| 2012 row 31 : district 30 \| dave rible \| rep \| wall \| 2008 row 32 : district 31 \| jason o'donnell \| dem \| bayonne \| 2010 row 33 : district 32 \| angelica m. jimenez \| dem \| west new york \| 2012 row 34 : district 32 \| vincent prieto \| dem \| secaucus \| 2004 row 35 : district 33 \| ruben j. ramos \| dem \| hoboken \| 2008 row 36 : district 34 \| thomas p. giblin \| dem \| montclair \| 2006 row 37 : district 36 \| gary schaer \| dem \| passaic \| 2006 row 38 : district 39 \| bob schroeder \| rep \| washington twp \| 2010 row 39 : district 40 \| scott rumana \| rep \| wayne \| 2008 ] Execute this SQL based on the above table: select count ( distinct district )	31
[ header: version \| length \| album \| remixed by \| year \| comment row 1 : single version / radio edit \| 3:39 \| go - the very best of moby \| mhc aka philip la \| 2006 \| remixed version with dance sonorities, row 2 : extended remix \| 6:48 \| None \| mhc aka philip la \| 2006 \| similar to the previous but longer row 3 : axwell remix \| 7:24 \| None \| axwell \| 2006 \| used in a scene in the 2008 movie 21 row 4 : enzo mori & stephan clar \| 7:10 \| None \| enzo mori and stephan clark \| 2006 \| None row 5 : mhc club remix \| 7:31 \| None \| mhc aka philip la \| 2006 \| None row 6 : zloot remix \| 4:36 \| None \| toni toolz \| 2006 \| None row 7 : music video \| 3:58 \| None \| None \| 2006 \| None ] Execute this SQL based on the above table: select remixed by where length = ( select length where remixed by = 'enzo mori and stephan clark' ) - 1	mhc aka philip larsen and chis smith
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| nigeria \| 14 \| 12 \| 9 \| 35 row 2 : 2 \| algeria \| 9 \| 4 \| 4 \| 17 row 3 : 3 \| kenya \| 8 \| 11 \| 4 \| 23 row 4 : 4 \| ethiopia \| 2 \| 4 \| 7 \| 13 row 5 : 5 \| ghana \| 2 \| 2 \| 2 \| 6 row 6 : 6 \| ivory coast \| 2 \| 1 \| 3 \| 6 row 7 : 7 \| egypt \| 2 \| 1 \| 0 \| 3 row 8 : 8 \| senegal \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| morocco \| 1 \| 1 \| 1 \| 3 row 10 : 10 \| tunisia \| 0 \| 3 \| 1 \| 4 row 11 : 11 \| madagascar \| 0 \| 1 \| 1 \| 2 row 12 : 12 \| rwanda \| 0 \| 0 \| 1 \| 1 row 13 : 12 \| zimbabwe \| 0 \| 0 \| 1 \| 1 row 14 : 12 \| seychelles \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where nation = 'seychelles'	seychelles
[ header: entered \| wrestler \| place \| eliminated by \| time row 1 : 1 \| junior fatu \| 7th \| hoyt, kaz, s \| 03:00 row 2 : 2 \| robert roode \| advanced to part three \| None \| 06:47 row 3 : 3 \| kaz \| 5th \| roode \| 05:32 row 4 : 4 \| alex shelley \| 3rd \| young \| 06:47 row 5 : 5 \| eric young \| advanced to part three \| None \| 06:47 row 6 : 6 \| chris sabin \| 6th \| kaz \| 04:55 row 7 : 7 \| lance hoyt \| 4th \| roode \| 06:06 row 8 : 8 \| james storm \| 8th \| young \| 00:05 ] Execute this SQL based on the above table: select count ( place ) where wrestler = 'chris sabin'	1
[ header: year \| japanese title \| english title \| role \| network row 1 : 1997 \| あくり \| agri \| None \| nhk row 2 : 1998 \| ラフアントヒース \| love & peace \| yohei horiguchi \| ntv row 3 : 2001 \| ネハーラント \| neverland \| osamu seto \| tbs row 4 : 2002 \| hito ni yasashi \| be nice to people \| yusuke \| fuji tv row 5 : 2002 \| engimono (演技者) \| acting by \| hachida \| fuji tv row 6 : 2004 \| kino wa tomo kyo \| None \| None \| None row 7 : 2005 \| dekabeya (六本木おかしな捜査班) \| funny roppongi squad \| yukio ochi \| tv asahi row 8 : 2005 \| asuka e, soshite \| to asuka and to the unseen \| sawamura kazuya \| fuji tv row 9 : 2005 \| nemureru mori no s \| sleeping corpse \| eiji/yamazaki \| fuji tv row 10 : 2006 \| アキハハラ@deep \| akihabara@deep \| box \| tbs row 11 : 2007 \| hana yori dango returns \| boys over flowers 2 \| junpei oribe \| tbs row 12 : 2007 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 13 : 2008 \| hachimitsu to clover (ハチミツとクローハー) \| honey & clover \| yuta takemoto \| fuji tv row 14 : 2008 \| hanazakari no kimitachi \| ikemen paradise \| shuichi nakatsu \| fuji tv row 15 : 2008 \| mao \| devil \| naoto serizawa \| tbs row 16 : 2009 \| inochi naki mono no k \| voice \| ryosuke ishimatsu \| fuji tv row 17 : 2009 \| majo saiban (魔女裁判) \| the witch trial \| toru yoshioka \| fuji tv row 18 : 2009 \| yonimo \"kim\ \| the law of recycling suicides \| r 8427 \| None row 19 : 2010 \| unobore deka (うぬほれ刑事) \| conceited detective \| sadame honjo \| tbs row 20 : 2010 \| kyuukei no kou \| spherical wilderness \| shoichi soeda \| fuji tv row 21 : 2012 \| osozaki no himawari \| late blooming sunflower -my life renewed- \| jotaro kodaira \| fuji tv row 22 : 2014 \| gunshi kanbei \| None \| dom justo takayama \| nhk ] Execute this SQL based on the above table: select count ( * ) where role < 1651	0
[ header: club \| played \| won \| drawn \| lost \| points for \| points against \| bonus points \| points row 1 : biarritz olympique \| 26 \| 19 \| None \| 7 \| 694 \| 350 \| 14 \| 90 row 2 : stade francais \| 26 \| 19 \| None \| 7 \| 633 \| 437 \| 13 \| 89 row 3 : stade toulousain \| 26 \| 19 \| None \| 7 \| 713 \| 427 \| 12 \| 88 row 4 : usa perpignan \| 26 \| 18 \| None \| 8 \| 671 \| 398 \| 12 \| 84 row 5 : su agen \| 26 \| 15 \| None \| 11 \| 655 \| 540 \| 10 \| 70 row 6 : cs bourgoin-jal \| 26 \| 14 \| None \| 12 \| 591 \| 516 \| 11 \| 67 row 7 : castres olympique \| 26 \| 13 \| None \| 13 \| 685 \| 559 \| 14 \| 66 row 8 : asm clermont \| 26 \| 14 \| None \| 12 \| 577 \| 569 \| 7 \| 63 row 9 : ca brive \| 26 \| 10 \| 1 \| 15 \| 431 \| 553 \| 9 \| 51 row 10 : rc narbonne \| 26 \| 11 \| None \| 15 \| 533 \| 775 \| 3 \| 47 row 11 : montpellier rc \| 26 \| 9 \| 0 \| 17 \| 574 \| 659 \| 10 \| 46 row 12 : aviron bayonnais \| 26 \| 8 \| 1 \| 17 \| 514 \| 669 \| 9 \| 43 row 13 : section paloise \| 26 \| 9 \| 0 \| 17 \| 476 \| 790 \| 4 \| 40 row 14 : rc toulonnais \| 26 \| 3 \| 0 \| 23 \| 332 \| 837 \| 7 \| 19 ] Execute this SQL based on the above table: select club where won = ( select won where club = 'castres olympique' ) + 1	cs bourgoin-jallieu, asm clermont
[ header: position \| club \| played \| points \| wins \| draws \| losses \| goals for \| goals against \| goal difference row 1 : 1 \| malaga cf \| 42 \| 79 \| 22 \| 13 \| 7 \| 72 \| 47 \| 25 row 2 : 2 \| atletico de madrid b 1 \| 42 \| 74 \| 21 \| 11 \| 10 \| 73 \| 51 \| 22 row 3 : 3 \| cd numancia \| 42 \| 73 \| 21 \| 10 \| 11 \| 68 \| 40 \| 28 row 4 : 4 \| sevilla fc \| 42 \| 71 \| 20 \| 11 \| 11 \| 66 \| 50 \| 16 row 5 : 5 \| rayo vallecano \| 42 \| 71 \| 19 \| 14 \| 9 \| 64 \| 49 \| 15 row 6 : 6 \| ud las palmas \| 42 \| 68 \| 17 \| 17 \| 8 \| 57 \| 38 \| 19 row 7 : 7 \| cd toledo \| 42 \| 65 \| 18 \| 11 \| 13 \| 54 \| 49 \| 5 row 8 : 8 \| sd compostela \| 42 \| 61 \| 16 \| 13 \| 13 \| 60 \| 53 \| 7 row 9 : 9 \| sporting de gijon \| 42 \| 59 \| 16 \| 11 \| 15 \| 47 \| 47 \| 0 row 10 : 10 \| cp merida \| 42 \| 59 \| 15 \| 14 \| 13 \| 48 \| 41 \| 7 row 11 : 11 \| ue lleida \| 42 \| 59 \| 15 \| 14 \| 13 \| 52 \| 50 \| 2 row 12 : 12 \| recreativo de huelva \| 42 \| 58 \| 14 \| 16 \| 12 \| 40 \| 35 \| 5 row 13 : 13 \| ca osasuna \| 42 \| 57 \| 15 \| 12 \| 15 \| 44 \| 51 \| -7 row 14 : 14 \| cd badajoz \| 42 \| 51 \| 12 \| 15 \| 15 \| 35 \| 39 \| -4 row 15 : 15 \| albacete \| 42 \| 50 \| 12 \| 14 \| 16 \| 38 \| 43 \| -5 row 16 : 16 \| cd logrones \| 42 \| 48 \| 12 \| 12 \| 18 \| 48 \| 57 \| -9 row 17 : 17 \| cd leganes \| 42 \| 47 \| 10 \| 17 \| 15 \| 36 \| 44 \| -8 row 18 : 18 \| sd eibar \| 42 \| 47 \| 13 \| 8 \| 21 \| 42 \| 56 \| -14 row 19 : 19 \| mallorca b \| 42 \| 46 \| 12 \| 10 \| 20 \| 52 \| 64 \| -12 row 20 : 20 \| barcelona b \| 42 \| 44 \| 13 \| 5 \| 24 \| 51 \| 68 \| -17 row 21 : 21 \| hercules cf \| 42 \| 40 \| 10 \| 10 \| 22 \| 38 \| 66 \| -28 row 22 : 22 \| cd ourense \| 42 \| 27 \| 7 \| 6 \| 29 \| 35 \| 82 \| -47 ] Execute this SQL based on the above table: select club where club != 'cd logrones' and goal difference = 0	sporting de gijon
[ 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 category where year = ( select year where category = 'outstanding voice-over performance' ) + 1	outstanding voice-over performance
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 3 \| michael schumacher \| ferrari \| 71 \| 1:34:45.026 \| 2 \| 10 row 2 : 2 \| 4 \| eddie irvine \| ferrari \| 71 \| 19.575 \| 4 \| 6 row 3 : 3 \| 8 \| mika hakkinen \| mclaren-mercedes \| 71 \| 19.747 \| 1 \| 4 row 4 : 4 \| 1 \| jacques villeneuve \| williams-mecachrome \| 71 \| +1:06.965 \| 5 \| 3 row 5 : 5 \| 6 \| alexander wurz \| benetton-playlife \| 70 \| +1 lap \| 10 \| 2 row 6 : 6 \| 7 \| david coulthard \| mclaren-mercedes \| 70 \| +1 lap \| 3 \| 1 row 7 : 7 \| 14 \| jean alesi \| sauber-petronas \| 70 \| +1 lap \| 11 \| None row 8 : 8 \| 15 \| johnny herbert \| sauber-petronas \| 70 \| +1 lap \| 13 \| None row 9 : 9 \| 5 \| giancarlo fisichella \| benetton-playlife \| 70 \| +1 lap \| 9 \| None row 10 : 10 \| 18 \| rubens barrichello \| stewart-ford \| 69 \| +2 laps \| 14 \| None row 11 : 11 \| 11 \| olivier panis \| prost-peugeot \| 69 \| +2 laps \| 16 \| None row 12 : 12 \| 19 \| jos verstappen \| stewart-ford \| 69 \| +2 laps \| 15 \| None row 13 : 13 \| 17 \| mika salo \| arrows \| 69 \| +2 laps \| 19 \| None row 14 : 14 \| 16 \| pedro diniz \| arrows \| 69 \| +2 laps \| 17 \| None row 15 : 15 \| 2 \| heinz-harald frent \| williams-mecachrome \| 68 \| suspension \| 8 \| None row 16 : 16 \| 10 \| ralf schumacher \| jordan-mugen-honda \| 68 \| +3 laps \| 6 \| None row 17 : 17 \| 22 \| shinji nakano \| minardi-ford \| 65 \| engine \| 21 \| None row 18 : ret \| 21 \| toranosuke takagi \| tyrrell-ford \| 60 \| engine \| 20 \| None row 19 : ret \| 12 \| jarno trulli \| prost-peugeot \| 55 \| spun off \| 12 \| None row 20 : ret \| 23 \| esteban tuero \| minardi-ford \| 41 \| gearbox \| 22 \| None row 21 : ret \| 9 \| damon hill \| jordan-mugen-honda \| 19 \| hydraulics \| 7 \| None row 22 : ret \| 20 \| ricardo rosset \| tyrrell-ford \| 16 \| hydraulics \| 18 \| None ] Execute this SQL based on the above table: select pos where laps < ( select laps where pos = 'ret' ) order by laps desc limit 1	ret
[ header: place (posicion) \| team (equipo) \| played (pj) \| won (pg) \| draw (pe) \| lost (pp) \| goals scored (gf) \| goals conceded (gc) \| +/- (dif.) \| points (pts.) row 1 : 1 \| tauro f.c \| 13 \| 7 \| 2 \| 4 \| 21 \| 18 \| +3 \| 23 row 2 : 2 \| san francisco f.c \| 13 \| 5 \| 6 \| 2 \| 19 \| 15 \| +4 \| 21 row 3 : 3 \| chepo f.c \| 13 \| 5 \| 5 \| 3 \| 19 \| 12 \| +7 \| 20 row 4 : 4 \| sporting san miguelito \| 13 \| 6 \| 2 \| 5 \| 18 \| 16 \| +2 \| 20 row 5 : 5 \| arabe unido \| 13 \| 6 \| 2 \| 5 \| 15 \| 14 \| +1 \| 20 row 6 : 6 \| plaza amador \| 13 \| 4 \| 7 \| 2 \| 13 \| 9 \| +4 \| 19 row 7 : 7 \| chorrillo f.c \| 13 \| 3 \| 7 \| 3 \| 14 \| 13 \| +1 \| 16 row 8 : 8 \| atletico chiriqui \| 13 \| 4 \| 3 \| 6 \| 14 \| 22 \| -8 \| 15 row 9 : 9 \| atletico veraguense \| 13 \| 2 \| 5 \| 6 \| 15 \| 28 \| -13 \| 11 row 10 : 10 \| alianza \| 13 \| 3 \| 1 \| 9 \| 25 \| 27 \| -2 \| 10 ] Execute this SQL based on the above table: select count ( team (equipo) ) where points (pts.) < 765	10
[ header: rank \| heat \| name \| nationality \| time \| notes row 1 : 1 \| 1 \| lacena golding-clarke \| jamaica \| 12.74 \| q, pb row 2 : 2 \| 1 \| vonette dixon \| jamaica \| 12.83 \| q, pb row 3 : 3 \| 2 \| diane allahgreen \| england \| 12.92 \| q, pb row 4 : 4 \| 2 \| brigitte foster \| jamaica \| 12.98 \| q row 5 : 5 \| 2 \| angela atede \| nigeria \| 13.01 \| q, sb row 6 : 6 \| 1 \| angela whyte \| canada \| 13.03 \| q, pb row 7 : 7 \| 1 \| julie pratt \| england \| 13.08 \| q, pb row 8 : 8 \| 2 \| jacquie munro \| australia \| 13.22 \| q row 9 : 9 \| 1 \| melanie wilkins \| england \| 13.29 \| None row 10 : 9 \| 2 \| sriyani kulawans \| sri lanka \| 13.29 \| None row 11 : 11 \| 1 \| fiona cullen \| australia \| 13.45 \| None row 12 : 12 \| 2 \| rachel king \| wales \| 13.58 \| None row 13 : 13 \| 2 \| tamsin stephens \| northern ireland \| 13.59 \| None row 14 : 14 \| 1 \| christy akinremi \| nigeria \| 13.73 \| None row 15 : None \| 2 \| shabana khattak \| pakistan \| dnf \| None row 16 : None \| 1 \| carole kaboud mebam \| cameroon \| dns \| None row 17 : None \| 1 \| olutoyin augustus \| nigeria \| dns \| None ] Execute this SQL based on the above table: select nationality order by notes desc limit 1	nigeria
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini where year opened = 1918	balboa park station
[ header: km \| municipality \| location \| interescting highway \| notes row 1 : 0 \| canada-united states border \| canada-united states border \| nd 18 - cavalier, \| pth 30 begins row 2 : 3 \| r.m. of rhine \| gretna \| pr 243 east - emerson \| begin pr 243 west concurrence row 3 : 5 \| r.m. of rhine \| None \| pr 243 west - blumenfeld \| end pr 243 west concurrence row 4 : 10 \| r.m. of rhine \| None \| pr 421 east - sommerfeld \| None row 5 : 14 \| r.m. of rhine \| altona \| pr 201 west - brown, windy \| begin pr 201 east concurrence row 6 : 18 \| r.m. of rhine \| None \| pr 201 east - letellier, \| end pr 201 east concurrence row 7 : 25 \| r.m. of rhine \| rosenfeld \| pth 14 - morden, win \| pth 30 ends highway continues as pr 3 ] Execute this SQL based on the above table: select count ( * ) where municipality = 'canada-united states border'	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 count ( * ) where withdrawn in ( '09/2005' , '03/2005' )	2
[ header: number \| event \| type \| matthew \| mark \| luke \| john row 1 : 1 \| pre-existence of christ \| miscellaneous \| None \| None \| None \| john 01:01-18 row 2 : 3 \| birth of john the baptist \| nativity \| None \| None \| luke 01:05-25 \| None row 3 : 9 \| circumcision of jesus \| nativity \| None \| None \| luke 02:21 \| None row 4 : 10 \| infant jesus at the temple \| nativity \| None \| None \| luke 02:22-38 \| None row 5 : 14 \| massacre of the innocents \| nativity \| matthew 02:16-18 \| None \| None \| None row 6 : 18 \| john the baptist \| miscellaneous \| None \| mark 01:01-08 \| None \| None row 7 : 22 \| marriage at cana \| miracle \| None \| None \| None \| john 02:01-11 row 8 : 31 \| beatitudes \| sermon \| matthew 05:02-12 \| None \| luke 06:20-23 \| None row 9 : 35 \| expounding of the law \| sermon \| matthew 05:17-48 \| None \| luke 06:29-42 \| None row 10 : 43 \| samaritan woman at the well \| ministry \| None \| None \| None \| john 04:04-26 row 11 : 52 \| exorcising at sunset \| miracle \| matthew 08:16-17 \| mark 01:32-34 \| luke 04:40-41 \| None row 12 : 62 \| commissioning the twelve apostles \| ministry \| matthew 10:02-04 \| mark 03:13-19 \| luke 06:12-16 \| None row 13 : 64 \| messengers from john the baptist \| ministry \| matthew 11:02-06 \| None \| luke 07:18-23 \| None row 14 : 68 \| the lord's prayer \| ministry \| None \| None \| luke 11:02-04 \| None row 15 : 72 \| jesus' true relatives \| ministry \| matthew 12:46-50 \| mark 03:31-35 \| luke 08:19-21 \| None row 16 : 78 \| parable of the mustard seed \| parable \| matthew 13:31-32 \| mark 04:30-32 \| luke 13:18-19 \| None row 17 : 79 \| the leaven \| parable \| matthew 13:33-33 \| None \| luke 13:20-21 \| None row 18 : 89 \| canaanite woman's daughter \| miracle \| matthew 15:21-28 \| mark 07:24-30 \| None \| None row 19 : 90 \| deaf mute of decapolis \| miracle \| None \| mark 07:31-37 \| None \| None row 20 : 95 \| boy possessed by a demon \| miracle \| matthew 17:14-21 \| mark 09:14-29 \| luke 09:37-49 \| None row 21 : 96 \| coin in the fish's mouth \| miracle \| matthew 17:24-27 \| None \| None \| None row 22 : 99 \| man with dropsy \| miracle \| None \| None \| luke 14:01-06 \| None row 23 : 100 \| counting the cost \| parable \| None \| None \| luke 14:25-33 \| None row 24 : 101 \| the lost sheep \| parable \| matthew 18:10-14 \| None \| luke 15:04-06 \| None row 25 : 108 \| the master and servant \| parable \| None \| None \| luke 17:07-10 \| None row 26 : 109 \| cleansing ten lepers \| miracle \| None \| None \| luke 17:11-19 \| None row 27 : 112 \| jesus and the rich young man \| ministry \| matthew 19:16-30 \| mark 10:17-31 \| luke 18:18-30 \| None ] Execute this SQL based on the above table: select count ( * ) where matthew = 'matthew 02:16-18' and luke = 'luke 08:19-21'	0
[ header: no \| title \| directed by \| released row 1 : 1 \| "kloot's k \| hawley pratt \| 1973 row 2 : 2 \| "apache on the county seat" \| hawley pratt \| 1973 row 3 : 3 \| "the shoe must go on" \| gerry chiniquy \| 1973 row 4 : 4 \| "a self winding sidewinder" \| roy morita \| 1973 row 5 : 5 \| "pay your buffalo bill" \| gerry chiniquy \| 1973 row 6 : 6 \| "stirrups and hic \| gerry chiniquy \| 1973 row 7 : 7 \| "ten miles to the gallop" \| arthur leonardi \| 1973 row 8 : 8 \| "phony express" \| gerry chiniquy \| 1974 row 9 : 9 \| "giddy up woe" \| sid marcus \| 1974 row 10 : 10 \| "gold struck" \| roy morita \| 1974 row 11 : 11 \| "as the tumbleweeds turn" \| gerry chiniquy \| 1974 row 12 : 12 \| "the badge and the beautiful" \| bob balsar \| 1974 row 13 : 13 \| "big beef at o.k. cor \| bob balsar \| 1974 row 14 : 14 \| "by hoot or by crook \| bob balsar \| 1974 row 15 : 15 \| "strange on the range" \| durward bonaye \| 1974 row 16 : 16 \| "mesa trouble" \| sid marcus \| 1974 row 17 : 17 \| "saddle soap opera" \| gerry chiniquy \| 1974 ] Execute this SQL based on the above table: select ( select no where title = '"by hoot or by crook"' ) - ( select no where title = '"giddy up woe"' )	5.0
[ header: week \| date \| opponent \| result \| attendance row 1 : 1 \| september 15, 1974 \| new york jets \| w 24-16 \| 74,854 row 2 : 2 \| september 22, 1974 \| at oakland raiders \| l 27-7 \| 48,108 row 3 : 3 \| september 29, 1974 \| at houston oilers \| w 17-7 \| 28,538 row 4 : 4 \| october 6, 1974 \| denver broncos \| l 17-14 \| 67,298 row 5 : 5 \| october 13, 1974 \| pittsburgh steelers \| l 34-24 \| 65,517 row 6 : 6 \| october 20, 1974 \| at miami dolphins \| l 9-3 \| 67,779 row 7 : 7 \| october 27, 1974 \| at san diego chargers \| w 24-14 \| 34,371 row 8 : 8 \| november 3, 1974 \| new york giants \| l 33-27 \| 61,437 row 9 : 9 \| november 10, 1974 \| san diego chargers \| l 14-7 \| 48,551 row 10 : 10 \| november 18, 1974 \| at denver broncos \| w 42-34 \| 50,236 row 11 : 11 \| november 24, 1974 \| at cincinnati bengals \| l 33-6 \| 49,777 row 12 : 12 \| december 1, 1974 \| at st. louis cardinals \| w 17-13 \| 41,863 row 13 : 13 \| december 8, 1974 \| oakland raiders \| l 7-6 \| 60,577 row 14 : 14 \| december 14, 1974 \| minnesota vikings \| l 35-15 \| 35,480 ] Execute this SQL based on the above table: select count ( opponent )	14
[ header: date \| week (stage) \| song choice \| original artist \| theme \| result row 1 : 11 february 2011 \| week 1 (top 9) \| "just the way you are" \| bruno mars \| free choice \| safe row 2 : 18 february 2011 \| week 2 (top 8) \| "can't buy me love" \| the beatles \| the beatles songs \| safe row 3 : 25 february 2011 \| week 3 (top 7) \| "de første kæ \| tv.2 \| songs from the 2000s \| safe row 4 : 4 march 2011 \| week 4 (top 6) \| "numb" \| linkin park \| rock songs \| safe row 5 : 11 march 2011 \| week 5 (top 5) \| "hurt" \| christina aguilera \| free choice (with danish national chamber orchestra \| safe row 6 : 18 march 2011 \| week 6 (top 4) \| "dj got us fallin' in love \| usher feat. pitbull \| dj night with rune rk \| safe row 7 : 18 march 2011 \| week 6 (top 4) \| "baby" \| justin bieber \| free choice \| safe row 8 : 25 march 2011 \| week 7 (final 3) \| "the flood" \| take that \| joint song with guest take that performed jointly with the \| third row 9 : 25 march 2011 \| week 7 (final 3) \| "all the right moves" \| onerepublic \| free choice \| third row 10 : 25 march 2011 \| week 7 (final 3) \| "back to the 80s" \| aqua \| joint song with guest aqua \| third ] Execute this SQL based on the above table: select count ( * ) where date < 28	0
[ header: year \| crystal bicycle (best professional cyclist) \| best young rider \| best manager \| crystal drop of sweat (best helper) row 1 : 1992 \| dirk de wolf \| not awarded \| not awarded \| not awarded row 2 : 1993 \| johan museeuw \| not awarded \| not awarded \| not awarded row 3 : 1994 \| paul herygers \| kristof trouve \| not awarded \| not awarded row 4 : 1995 \| johan museeuw \| leif hoste \| not awarded \| not awarded row 5 : 1996 \| johan museeuw \| glenn d'hollander \| not awarded \| not awarded row 6 : 1997 \| johan museeuw \| sven nys \| not awarded \| not awarded row 7 : 1998 \| tom steels \| sven nys \| not awarded \| not awarded row 8 : 1999 \| frank vandenbroucke \| kevin hulsmans \| not awarded \| not awarded row 9 : 2000 \| andrei tchmil \| jurgen van goolen \| patrick lefevere & jo \| not awarded row 10 : 2001 \| rik verbrugghe \| tom boonen \| jef braeckevelt \| not awarded row 11 : 2002 \| johan museeuw \| kevin de weert \| johan bruyneel \| not awarded row 12 : 2003 \| peter van petegem \| johan vansummeren \| johan bruyneel \| not awarded row 13 : 2004 \| tom boonen \| niels albert \| patrick lefevere \| not awarded row 14 : 2005 \| tom boonen \| niels albert \| jose de cauwer \| kevin hulsmans row 15 : 2006 \| tom boonen \| dominique cornu \| patrick lefevere \| gert steegmans row 16 : 2007 \| sven nys \| niels albert \| johan bruyneel \| johan vansummeren row 17 : 2008 \| philippe gilbert \| jan bakelants \| johan bruyneel \| mario aerts row 18 : 2009 \| philippe gilbert \| kris boeckmans \| johan bruyneel \| stijn vandenbergh row 19 : 2010 \| philippe gilbert \| yannick eijssen \| marc sergeant \| mario aerts row 20 : 2011 \| philippe gilbert \| tosh van der sande \| john lelangue \| jelle vanendert row 21 : 2012 \| tom boonen \| gijs van hoecke \| carlo bomans \| kevin de weert row 22 : 2013 \| sven nys \| igor decraene \| patrick lefevere \| stijn vandenbergh ] Execute this SQL based on the above table: select crystal drop of sweat (best helper) order by year desc limit 1	stijn vandenbergh
[ header: responsible minister(s) \| crown entities \| monitoring department(s) \| category / type \| empowering legislation row 1 : acc \| accident compensation corporation \| labour \| crown agent \| injury prevention, rehabilitation, and compensation act 2001 ( row 2 : arts, culture and heritage \| new zealand historic places trust (p \| culture and heritage \| ace \| historic places act 1993 (part 3) row 3 : arts, culture and heritage \| new zealand symphon \| culture and heritage \| ace \| new zealand symphon row 4 : broadcasting \| broadcasting commission (new zealand on \| culture and heritage \| ace \| broadcasting act 1989 (part 4 and schedule 1) row 5 : commerce \| securities commission \| economic development \| ice \| securities act 1978 (part 1) row 6 : commerce \| takeovers panel \| economic development \| ice \| takeovers act 1993 (part 1 and schedule row 7 : commerce \| testing laboratory registration council \| economic development \| ace \| testing laboratory registration act 1972 row 8 : community and voluntary sector \| charities commission \| internal affairs \| ace \| charities act 2005 (part 1) row 9 : cris and finance (2) \| crown research institutes (9) \| ccmau and treasur \| cec \| crown research institutes act 1992 row 10 : economic development and finance (2) \| new zealand venture investment fund limited \| ccmau and treasur \| cec \| none (company constitution) row 11 : finance \| government superannuation fund authority \| treasury \| ace \| government superannuation fund act 1956 ( row 12 : health \| alcohol advisory council of new zealand \| health \| ace \| alcohol advisory council act 1976 row 13 : health \| crown health financing agency \| health \| crown agent \| new zealand public health and disability act row 14 : health \| district health boards (21) \| health \| crown agent \| new zealand public health and disability act row 15 : health \| health and disability commissioner \| health \| ice \| health and disability commissioner act 1994 (part 1 and row 16 : health \| health research council of new zealand \| health \| crown agent \| health research council act 1990 (part 1 and schedule row 17 : health \| health sponsorship council \| health \| crown agent \| smoke-free environments act 1990 (part 3) row 18 : health \| pharmaceutical management agency \| health \| crown agent \| new zealand public health and disability act row 19 : law commission \| law commission \| justice \| ice \| law commission act 1985 (and schedule 1) row 20 : social development and employment \| new zealand artificial limb board \| social development \| ace \| social welfare (transitional provisions) act 1990 row 21 : social development and employment \| social workers registration board \| social development \| crown agent \| social workers registration act 2003 (part 6 and schedule row 22 : sport and recreation \| new zealand sports drug agency \| culture and heritage \| ice \| new zealand sports drug agency act 1994 row 23 : sport and recreation \| sport and recreation new zealand \| culture and heritage \| crown agent \| sport and recreation new zealand act 2002 row 24 : tertiary education \| tertiary education commission \| education \| crown agent \| education act 1989 (part 13a) row 25 : transport \| civil aviation authority of new zealand \| transport \| crown agent \| civil aviation act 1990 (part 6a and schedule row 26 : transport \| transit new zealand \| transport \| crown agent \| land transport management act 2003 (part 3 and schedule ] Execute this SQL based on the above table: select count ( * )	26
[ header: season \| division \| w-l \| finish \| home \| road \| gf \| ga \| coach \| playoffs \| avg attendance row 1 : 2006 \| western \| 1-15 \| 6th \| 0-8 \| 1-7 \| 150 \| 202 \| paul day \| missed playoffs \| 10367 row 2 : 2007 \| western \| 6-10 \| 5th \| 4-4 \| 2-6 \| 160 \| 189 \| paul day \| missed playoffs \| 10815 row 3 : 2008 \| western \| 4-12 \| 5th \| 3-5 \| 1-7 \| 141 \| 197 \| paul day (0-5) bob ham \| missed playoffs \| 8820 row 4 : 2009 \| western \| 5-11 \| 6th \| 4-4 \| 1-7 \| 159 \| 200 \| bob hamley \| missed playoffs \| 8347 row 5 : 2010 \| western \| 10-6 \| 3rd \| 5-3 \| 5-3 \| 186 \| 201 \| derek keenan \| lost in western final \| 7558 row 6 : 2011 \| western \| 5-11 \| 5th \| 4-4 \| 1-7 \| 175 \| 204 \| derek keenan \| missed playoffs \| 7151 row 7 : 2012 \| western \| 6-10 \| 4th \| 4-4 \| 2-6 \| 167 \| 175 \| derek keenan \| lost in final \| 7050 row 8 : 2013 \| western \| 9-7 \| 3rd \| 2-6 \| 7-1 \| 203 \| 170 \| derek keenan \| lost in western semi-final \| 6714 row 9 : total \| 8 seasons \| 46-82 \| None \| 26-38 \| 20-44 \| 1341 \| 1538 \| None \| None \| 8353 row 10 : playoff totals \| None \| 3-3 \| None \| 0-0 \| 3-3 \| 73 \| 54 \| None \| None \| None ] Execute this SQL based on the above table: select home where id = ( select id where home = '4-4' ) - 1	0-8
[ header: year \| film \| role \| notes row 1 : 1986 \| love 86 \| vikram doshi \| None row 2 : 1987 \| khudgarz \| kumar saxena \| None row 3 : 1987 \| sindoor \| ravi \| None row 4 : 1988 \| paap ko jalaa \| deepak malhotra \| None row 5 : 1988 \| halaal ki kamai \| kabir khanna \| None row 6 : 1988 \| shiv shakti \| shakti \| None row 7 : 1989 \| sachai ki ta \| sagar singh \| None row 8 : 1989 \| taaqatwar \| john d'mello \| None row 9 : 1990 \| maha-sangram \| arjun 'munna' \| None row 10 : 1990 \| izzatdaar \| vijay \| None row 11 : 1990 \| naya khoon \| dr. anand \| None row 12 : 1990 \| taqdeer ka tama \| satya \| None row 13 : 1990 \| awaargi \| dhiren kumar \| critically acclaimed role row 14 : 1992 \| baaz \| deva \| None row 15 : 1994 \| andaz apna a \| himself \| special appearance row 16 : 1994 \| beta ho to aisa \| raju \| None row 17 : 1996 \| maahir \| bhola \| None row 18 : 1996 \| apne dam par \| himself \| special appearance row 19 : 1997 \| deewana mastana \| bunnu \| nominated - filmfare best actor row 20 : 1997 \| do ankhen barah hath \| sagar \| None row 21 : 1998 \| achanak \| arjun \| None row 22 : 1998 \| naseeb \| krishna prasa \| None row 23 : 2000 \| kunwara \| raju \| nominated -filmfare award for row 24 : 2001 \| aamdani atthani k \| bhishma \| None row 25 : 2001 \| albela \| rocky hiranandani \| None row 26 : 2001 \| censor \| himself \| special appearance row 27 : 2002 \| pyaar diwana hota \| sunder \| None row 28 : 2002 \| chalo ishq ladaa \| pappu \| None row 29 : 2003 \| three roses \| himself \| tamil film - guest appearance row 30 : 2005 \| ssukh \| chandraprakash sharma \| None row 31 : 2007 \| partner \| bhaskar diwakar chow \| iifa best comedian award zee row 32 : 2013 \| samadhi \| deputy inspector general of police \| bengali debut row 33 : 2014 \| kill dil \| negative role \| filming (releasing on 5 september 2014) row 34 : 2014 \| hero \| None \| filming, (releasing on 12th dec ] Execute this SQL based on the above table: select role where notes >= 757	dhiren kumar, himself, himself, bunnu, raju, himself, himself, bhaskar diwakar chowdahry, deputy inspector general of police, negative role
[ header: availability / production \| \| 2000 \| 2001 \| 2002 \| 2003 \| 2004 \| 2005 \| 2006 \| 2007 \| 2008 \| 2009 \| 2010 \| 2011 \| 2012 row 1 : availability \| hydro power \| 1150 \| 1161 \| 1171 \| 1247 \| 1281 \| 1293 \| 1316 \| 1326 \| 1357 \| 1379 \| 1382 \| 1401 \| 1584 row 2 : availability \| thermal \| 685 \| 835 \| 1056 \| 1233 \| 1215 \| 1155 \| 1155 \| 1155 \| 1285 \| 1290 \| 1390 \| 1690 \| 1638 row 3 : availability \| other renewables \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 3 \| 15 \| 45 \| 50 \| 90 row 4 : availability \| total availability \| 1838 \| 1999 \| 2230 \| 2483 \| 2499 \| 2411 \| 2434 \| 2444 \| 2645 \| 2684 \| 2818 \| 3141 \| 3312 row 5 : production \| hydro power \| 3197 \| 3110 \| 2962 \| 3310 \| 2960 \| 3451 \| 4634 \| 3947 \| 4130 \| 3881 \| 5634 \| 4622 \| 3292 row 6 : production \| thermal \| 3485 \| 3407 \| 3201 \| 4298 \| 5080 \| 5314 \| 4751 \| 5864 \| 5763 \| 5975 \| 4995 \| 6785 \| 8339 row 7 : production \| other renewables \| 3 \| 3 \| 4 \| 3 \| 3 \| 5 \| 4 \| 4 \| 8 \| 27 \| 86 \| 121 \| 169 row 8 : production \| total production \| 6685 \| 6520 \| 6167 \| 7611 \| 8043 \| 8770 \| 9389 \| 9815 \| 9901 \| 9883 \| 10715 \| 11528 \| 11800 ] Execute this SQL based on the above table: select where 2008 = 1285	thermal
[ header: year \| film \| song \| language row 1 : 2005 \| the tiger \| kaliya visha dhara \| malayalam row 2 : 2006 \| chinthamani kolacase \| asathoma \| malayalam row 3 : 2006 \| the don \| theme song \| malayalam row 4 : 2007 \| detective \| theme song \| malayalam row 5 : 2008 \| sound of boot \| yamuna sangitaam \| malayalam row 6 : 2009 \| kerala cafe (bgm) \| lalitham hiranmyam \| malayalam row 7 : 2010 \| ringtone \| 5 songs \| malayalam row 8 : 2010 \| "thriller \| bgm \| malayalam row 9 : 2011 \| thaazhvaarakaat \| 5 songs \| malayalam row 10 : 2012 \| shyloo \| shyloo \| kannada row 11 : 2012 \| crime story \| 3 songs \| malayalam row 12 : 2012 \| munjane \| yaro ob sund \| kannada row 13 : 2012 \| sankranthi \| belakkilla balali \| kannada row 14 : 2012 \| kai thunindavan \| 5 songs \| tamil ] Execute this SQL based on the above table: select count ( film ) where year = 2008	1
[ header: name \| nationality \| club \| from \| until row 1 : jose manuel abundis \| mexico \| atlanta silverbacks \| 2011 \| 2011 row 2 : alex pineda chacon \| honduras \| atlanta silverbacks \| 2011 \| 2012 row 3 : eric wynalda \| united states \| atlanta silverbacks \| 2012 \| 2012 row 4 : brian haynes (footballer \| trinidad and tobago \| atlanta silverbacks \| 2012 \| 2013 row 5 : eric wynalda \| united states \| atlanta silverbacks \| 2014 \| present row 6 : martin rennie \| scotland \| carolina railhawks \| 2009 \| 2011 row 7 : colin clarke \| england \| carolina railhawks \| 2011 \| present row 8 : dwight lodeweges \| netherlands \| fc edmonton \| 2010 \| 2010 row 9 : harry sinkgraven \| netherlands \| fc edmonton \| 2010 \| 2012 row 10 : colin miller \| canada \| fc edmonton \| 2012 \| present row 11 : daryl shore \| united states \| fort lauderdale strikers \| 2010 \| 2013 row 12 : gunter kronsteiner \| austria \| fort lauderdale strikers \| 2013 \| present row 13 : juergen sommer \| united states \| indy eleven \| 2013 \| present row 14 : manny lagos \| united states \| minnesota united fc \| 2010 \| present row 15 : marc dos santos \| canada \| montreal impact \| 2009 \| 2011 row 16 : nick de santis \| canada \| montreal impact \| 2011 \| 2011 row 17 : giovanni savarese \| venezuela \| new york cosmos \| 2012 \| present row 18 : marc dos santos \| canada \| ottawa fury fc \| 2013 \| present row 19 : colin clarke \| england \| puerto rico islanders \| 2007 \| 2011 row 20 : adrian whitbread \| england \| puerto rico islanders \| 2011 \| 2012 row 21 : tim hankinson \| united states \| san antonio scorpion \| 2012 \| 2013 row 22 : alen marcina \| canada \| san antonio scorpion \| 2013 \| present row 23 : ricky hill \| england \| tampa bay rowdies \| 2011 \| present ] Execute this SQL based on the above table: select count ( * )	23
[ header: year \| competition \| date \| location \| opponent \| score \| result \| bye row 1 : 1990 \| world group, 1st round \| 2-4 feb \| barcelona (esp) \| spain \| 3-2 \| win \| row 2 : 1990 \| world group, quarterfinals \| 30 mar - 2 apr \| vienna (aut) \| italy \| 5-0 \| win \| row 3 : 1990 \| world group, semifinals \| 21-23 sep \| vienna (aut) \| united states \| 2-3 \| loss \| row 4 : 1991 \| world group, 1st round \| 1-3 feb \| prague (tch) \| czechoslovakia \| 1-4 \| loss \| row 5 : 1991 \| world group, relegation play-off \| 20-22 sep \| manchester (gbr) \| great britain \| 1-3 \| loss \| row 6 : 1992 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 7 : 1992 \| euro/african zone group i \| 1-3 may \| helsinki (fin) \| finland \| 4-1 \| win \| row 8 : 1992 \| world group, relegation play-off \| 25-27 sep \| vancouver (can) \| canada \| 3-1 \| win \| row 9 : 1993 \| world group, 1st round \| 26-28 mar \| vienna (aut) \| france \| 1-4 \| loss \| row 10 : 1993 \| world group, relegation play-off \| 24-26 sep \| christchurch (nzl) \| new zealand \| 3-2 \| win \| row 11 : 1994 \| world group, 1st round \| 26-28 mar \| graz (aut) \| germany \| 2-3 \| loss \| row 12 : 1994 \| world group, relegation play-off \| 23-25 sep \| montevideo (uru) \| uruguay \| 3-2 \| win \| row 13 : 1995 \| world group, 1st round \| 3-5 feb \| vienna (aut) \| spain \| 4-1 \| win \| row 14 : 1995 \| world group, quarterfinals \| 31 mar - 2 apr \| vaxjo (swe) \| sweden \| 0-5 \| loss \| row 15 : 1996 \| world group, 1st round \| 9-12 feb \| johannesburg (rsa) \| south africa \| 2-3 \| loss \| row 16 : 1996 \| world group, relegation play-off \| 20-22 sep \| sao paulo (bra) \| brazil \| 1-4 \| loss \| row 17 : 1997 \| euro/african zone group i \| None \| None \| None \| None \| None \| row 18 : 1997 \| euro/african zone group i \| 4-6 apr \| graz (aut) \| croatia \| 3-2 \| win \| row 19 : 1997 \| world group, relegation play-off \| 19-21 sep \| harare (zim) \| zimbabwe \| 2-3 \| loss \| row 20 : 1998 \| euro/african zone group i \| 3-5 apr \| ramat hasharon (isr) \| israel \| 1-4 \| loss \| row 21 : 1998 \| euro/african zone group i \| 25-27 sep \| portschach (aut) \| denmark \| 5-0 \| win \| row 22 : 1999 \| euro/african zone group i \| 2-4 apr \| wels (aut) \| portugal \| 4-1 \| win \| row 23 : 1999 \| world group, relegation play-off \| 24-26 sep \| portschach (aut) \| sweden \| 3-2 \| win \| ] Execute this SQL based on the above table: select year where location is null order by year desc limit 1	1997
[ header: name \| from \| until \| relationship with predecessor row 1 : cosimo de' medici (pater patria \| 1434 \| 1 august 1464 \| son of giovanni di bicci de row 2 : piero i de' medici (pier \| 1 august 1464 \| 2 december 1469 \| eldest son of cosimo de' medici row 3 : lorenzo i de' medici ( \| 2 december 1469 \| 9 april 1492 \| eldest son of piero i row 4 : piero ii de' medici ( \| 9 april 1492 \| 8 november 1494 \| eldest son of lorenzo the row 5 : cardinal giovanni de' medici \| 31 august 1512 \| 9 march 1513 \| brother of piero the unfortunate, second son row 6 : giuliano de' medici, duke \| 9 march 1513 \| 17 march 1516 \| brother of cardinal giovanni de' row 7 : lorenzo ii de' medici \| 17 march 1516 \| 4 may 1519 \| nephew of giuliano de' medici, row 8 : cardinal giulio de' medici \| 4 may 1519 \| 19 november 1523 \| cousin of lorenzo ii de row 9 : cardinal ippolito de' medici \| 19 november 1523 \| 24 october 1529 \| cousin of cardinal giulio de ] Execute this SQL based on the above table: select count ( * ) where from = '31 august 1512'	1
[ header: year \| film \| role \| co-star \| director \| notes row 1 : 2004 \| bachelor \| None \| None \| mostofa sarwar farook \| special appearance row 2 : 2010 \| dubshatar \| renu \| shehzad chowdhury \| nurul alam atik \| first debut film daily star celebrating life-best actress row 3 : 2011 \| firey esho behula \| tanima \| intekhab deenar, shahid \| tanim noor \| None row 4 : 2011 \| guerrilla \| bilkis banu \| ferdous ahmed, \| nasiruddin yousuff \| national film award meril prothom al row 5 : 2012 \| chorabali \| noboni afroz \| indraneil sengupt \| redwan rony \| national film award meril prothom al row 6 : 2013 \| aborto \| charu sen \| tota roy chowdhur \| arindam sil \| first debut film in tollywood row 7 : 2013 \| purnodoirgho prem \| jara/zara \| shakib khan, arefin \| shafi uddin sha \| first film with shakib khan row 8 : 2014 \| parle theka (filming) \| None \| sushama sarkar \| maruf hasan \| None row 9 : 2014 \| zero degree (filming) \| sonia \| mahfuz ahmed, r \| animesh aich \| None ] Execute this SQL based on the above table: select film group by film order by count ( * ) desc limit 1	zero degree (filming)
[ header: line \| year opened \| termini \| termini row 1 : j church \| 1917 \| embarcadero station \| balboa park station row 2 : k ingleside \| 1918 \| embarcadero station \| balboa park station row 3 : l taraval \| 1919 \| embarcadero station \| 46th avenue and wawona s row 4 : m ocean view \| 1925 \| embarcadero station \| san jose and geneva balb row 5 : n judah \| 1928 \| 4th and king station caltrain depot \| judah and la playa ocean beach row 6 : t third street \| 2007 \| west portal station \| sunnydale station row 7 : s castro shuttle (peak hours & \| None \| embarcadero station 4th and \| castro station west portal station (game days) ] Execute this SQL based on the above table: select termini where termini = 'balboa park station'	embarcadero station, embarcadero station
[ header: date \| opponent \| score \| result \| record row 1 : may 19 \| san antonio \| 81-72 \| win \| 1-0 row 2 : may 23 \| @ seattle \| 87-100 \| loss \| 1-1 row 3 : may 25 \| houston \| 111-85 \| win \| 2-1 row 4 : may 29 \| sacramento \| 76-75 \| win \| 3-1 row 5 : may 31 \| @ san antonio \| 97-85 \| win \| 4-1 row 6 : june 5 \| minnesota \| 85-90 \| loss \| 4-4 row 7 : june 7 \| chicago \| 80-66 \| win \| 5-4 row 8 : june 9 \| @ sacramento \| 74-70 \| win \| 6-4 row 9 : june 13 \| @ washington \| 69-86 \| loss \| 6-5 row 10 : june 15 \| @ indiana \| 89-78 \| win \| 7-5 row 11 : june 20 \| washington \| 101-106 \| loss \| 7-6 row 12 : june 22 \| detroit \| 84-87 \| loss \| 7-7 row 13 : june 24 \| houston \| 90-85 \| win \| 8-7 row 14 : june 30 \| @ houston \| 92-75 \| win \| 9-7 row 15 : july 3 \| @ minnesota \| 95-79 \| win \| 10-7 row 16 : july 8 \| @ detroit \| 82-111 \| loss \| 11-8 row 17 : july 11 \| san antonio \| 77-87 \| loss \| 11-9 row 18 : july 20 \| los angeles \| 77-87 \| loss \| 12-10 row 19 : july 22 \| minnesota \| 106-93 \| win \| 13-10 row 20 : july 27 \| @ chicago \| 98-96 \| win \| 15-10 row 21 : july 29 \| indiana \| 80-75 \| win \| 16-10 row 22 : july 31 \| @ houston \| 76-74 \| win \| 17-10 row 23 : august 2 \| @ san antonio \| 84-79 \| win \| 18-10 row 24 : august 4 \| @ seattle \| 101-111 \| loss \| 18-11 row 25 : august 7 \| @ los angeles \| 96-93 \| win \| 19-11 row 26 : august 9 \| new york \| 97-86 \| win \| 20-11 row 27 : august 11 \| los angeles \| 100-83 \| win \| 21-11 row 28 : august 17 \| @ sacramento \| 101-91 \| win \| 22-11 row 29 : august 19 \| sacramento \| 87-73 \| win \| 23-11 row 30 : august 24 (first round, game 1) \| @ seattle \| 101-84 \| win \| 1-0 row 31 : august 26 (first round, game 2) \| seattle \| 95-89 \| win \| 2-0 row 32 : august 30 (west finals, game 1) \| @ san antonio \| 102-100 \| win \| 3-0 row 33 : september 1 (west finals, game 2) \| san antonio \| 98-92 \| win \| 4-0 row 34 : september 5 (wnba finals \| @ detroit \| 100-108 \| loss \| 4-1 row 35 : september 8 (wnba finals \| @ detroit \| 98-70 \| win \| 5-1 row 36 : september 11 (wnba finals \| detroit \| 83-88 \| loss \| 5-2 row 37 : september 13 (wnba finals \| detroit \| 77-76 \| win \| 6-2 row 38 : september 15 (wnba finals \| @ detroit \| 108-92 \| win \| 7-2 ] Execute this SQL based on the above table: select date where id = ( select id where date = 'july 20' ) + 1	july 22
[ header: drop(s) \| multiplayer map(s) \| spec ops mission(s) \| face off map(s) \| xbox 360 release date \| playstation 3 release date row 1 : 1-2 \| liberation & piazza \| None \| None \| 24 january 2012 \| 28 february 2012 row 2 : 3 \| overwatch \| None \| None \| 21 february 2012 \| 29 march 2012 row 3 : 4-6 \| black box \| black ice & negotiator \| None \| 13 march 2012 \| 12 april 2012 row 4 : 7-8 \| sanctuary & foundation \| None \| None \| 10 april 2012 \| 10 may 2012 row 5 : 9-12 \| oasis \| iron clad & kill switch \| getaway & lookout \| 15 may 2012 \| 14 june 2012 row 6 : 13-15 \| None \| arctic recon \| vortex, u-turn & intersection \| 19 june 2012 \| 19 july 2012 row 7 : 16-18 \| decommission & offshore \| vertigo \| None \| 17 july 2012 \| 16 august 2012 row 8 : 19-21 \| None \| special delivery, light 'em up \| None \| 7 august 2012 \| 6 september 2012 row 9 : 22-24 \| parish, gulch & boardwalk \| None \| None \| 5 september 2012 \| 9 october 2012 ] Execute this SQL based on the above table: select avg ( drop(s) )	10.444444444444445
[ header: state \| interview \| swimsuit \| evening gown \| average row 1 : idaho \| 8.688 \| 8.925 \| 8.850 \| 8.821 row 2 : kentucky \| 8.863 \| 9.175 \| 9.400 \| 9.146 row 3 : vermont \| 8.425 \| 9.013 \| 9.300 \| 8.913 row 4 : texas \| 8.688 \| 8.975 \| 8.875 \| 8.846 row 5 : north dakota \| 8.800 \| 8.975 \| 9.175 \| 8.983 row 6 : washington \| 8.688 \| 8.788 \| 8.863 \| 8.779 row 7 : alabama \| 8.650 \| 8.475 \| 8.938 \| 8.688 row 8 : south dakota \| 8.300 \| 8.838 \| 8.513 \| 8.550 row 9 : new york \| 8.463 \| 8.713 \| 8.400 \| 8.525 row 10 : oklahoma \| 8.275 \| 8.325 \| 8.700 \| 8.433 ] Execute this SQL based on the above table: select ( select swimsuit where state = 'north dakota' ) - ( select swimsuit where state = 'kentucky' )	-0.20000000000000107
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select h / a order by attendance desc limit 1	h
[ header: week \| date \| opponent \| result \| attendance \| bye row 1 : 1 \| september 1, 1991 \| minnesota vikings \| w 10-6 \| 64112 \| 0 row 2 : 2 \| september 8, 1991 \| at tampa bay buccaneers \| w 21-20 \| 65625 \| 0 row 3 : 3 \| september 15, 1991 \| new york giants \| w 20-17 \| 64829 \| 0 row 4 : 4 \| september 23, 1991 \| new york jets \| w 19-13 \| 65255 \| 0 row 5 : 5 \| september 29, 1991 \| at buffalo bills \| l 35-20 \| 80366 \| 0 row 6 : 6 \| october 6, 1991 \| washington redskins \| l 20-7 \| 64941 \| 0 row 7 : 7 \| None \| None \| None \| None \| 1 row 8 : 8 \| october 17, 1991 \| at green bay packers \| w 10-0 \| 58435 \| 0 row 9 : 9 \| october 27, 1991 \| at new orleans saints \| w 20-17 \| 68591 \| 0 row 10 : 10 \| november 3, 1991 \| detroit lions \| w 20-10 \| 57281 \| 0 row 11 : 11 \| november 11, 1991 \| at minnesota vikings \| w 34-17 \| 59001 \| 0 row 12 : 12 \| november 17, 1991 \| at indianapolis colts \| w 31-17 \| 60519 \| 0 row 13 : 13 \| november 24, 1991 \| miami dolphins \| l 16-13 \| 58288 \| 0 row 14 : 14 \| november 28, 1991 \| at detroit lions \| l 16-6 \| 78879 \| 0 row 15 : 15 \| december 8, 1991 \| green bay packers \| w 27-13 \| 62353 \| 0 row 16 : 16 \| december 14, 1991 \| tampa bay buccaneers \| w 27-0 \| 54719 \| 0 row 17 : 17 \| december 23, 1991 \| at san francisco 49ers \| l 52-14 \| 60419 \| 0 ] Execute this SQL based on the above table: select attendance where result = 'l 16-13'	58288.0
[ header: # \| title \| time \| performer(s) \| songwriters \| producer(s) \| samples and notes row 1 : 1 \| "everything man" \| 3:16 \| talib kweli, \| talib kweli greene \| madlib \| "everything man" by daybreak row 2 : 3 \| "hostile gospel (part 1) (deliver \| 5:22 \| talib kweli \| talib kweli greene \| just blaze \| "deliverance" by space row 3 : 4 \| "say something" \| 3:43 \| talib kweli, \| talib kweli greene \| will.i.am \| "theme for la's team" by row 4 : 6 \| "holy moly" \| 2:08 \| talib kweli \| talib kweli greene \| pete rock \| "border song (holy moses)" row 5 : 7 \| "eat to live" \| 3:07 \| talib kweli \| talib kweli greene \| madlib \| "ghetto lament" by row 6 : 11 \| "more or less" \| 4:40 \| talib kweli, di \| talib kweli greene \| hi-tek \| None row 7 : 13 \| "hot thing" \| 3:48 \| talib kweli, will \| talib kweli greene \| will.i.am \| "we're no exception" by john row 8 : 14 \| "space fruit" (interlude) \| 1:31 \| sa-ra \| om'mas keith, sh \| sa-ra \| None row 9 : 16 \| "oh my stars" \| 3:40 \| talib kweli, \| talib kweli greene \| dj khalil \| None row 10 : 18 \| "go with us" \| 3:59 \| talib kweli, strong \| talib kweli greene \| e. jones \| None row 11 : 19 \| "hostile gospel (part 2) (deliver \| 4:21 \| talib kweli, si \| talib kweli greene \| dj khalil \| "tight rope" by steel pulse row 12 : 21 \| "hush" \| 3:55 \| talib kweli, \| talib kweli greene \| chad beatz \| lp edition #19 & itune ] Execute this SQL based on the above table: select count ( songwriters ) where title = '"say something"'	1
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1999 \| universiade \| palma de mallorca, spain \| 2nd \| 20 km \| 1:25:23 row 2 : 2001 \| european race walking cup \| dudince, slovakia \| 12th \| 20 km \| 1:22:10 row 3 : 2001 \| world championships \| edmonton, canada \| 16th \| 20 km \| 1:25:28 row 4 : 2001 \| universiade \| beijing, china \| 1st \| 20 km \| 1:24:42 row 5 : 2002 \| european championships \| munich, germany \| 9th \| 20 km \| 1:21:21 row 6 : 2002 \| world race walking cup \| turin, italy \| 12th \| 20 km \| None row 7 : 2003 \| world championships \| paris, france \| 11th \| 20 km \| 1:20:34 pb row 8 : 2005 \| world championships \| helsinki, finland \| 14th \| 20 km \| None ] Execute this SQL based on the above table: select count ( venue ) where notes > 1903	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| vietnam (vie) \| 3 \| 0 \| 3 \| 6 row 2 : 2 \| south korea (kor) \| 2 \| 1 \| 2 \| 5 row 3 : 3 \| kyrgyzstan (kgz \| 1 \| 1 \| 2 \| 4 row 4 : 4 \| kazakhstan (kaz) \| 1 \| 1 \| 1 \| 3 row 5 : 5 \| iraq (irq) \| 1 \| 0 \| 1 \| 2 row 6 : 5 \| turkmenistan (tkm) \| 1 \| 0 \| 1 \| 2 row 7 : 7 \| jordan (jor) \| 0 \| 2 \| 3 \| 5 row 8 : 8 \| uzbekistan (uzb \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| tajikistan (tjk) \| 0 \| 1 \| 1 \| 2 row 10 : 10 \| kuwait (kuw) \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| independent athletes (aoi) \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| mongolia (mgl) \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| palestine (ple) \| 0 \| 0 \| 1 \| 1 row 14 : total \| total \| 9 \| 9 \| 18 \| 36 ] Execute this SQL based on the above table: select nation where nation = 'total'	total
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select bike where id = 7	ducati 999 f06
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| prod. code row 1 : 68 \| 1 \| "you can go home again" \| jeff mccracken \| mark blutman & howard bus \| september 20, 1996 \| b720 row 2 : 69 \| 2 \| "hair today, goon tomorrow" \| jeff mccracken \| susan estelle jansen \| september 27, 1996 \| b721 row 3 : 71 \| 4 \| "fishing for virna" \| jeff mccracken \| matthew nelson \| october 11, 1996 \| b723 row 4 : 72 \| 5 \| "shallow boy" \| jeff mccracken \| jeff sherman \| october 18, 1996 \| b724 row 5 : 73 \| 6 \| "janitor dad" \| jeff mccracken \| jeff menell \| october 25, 1996 \| b725 row 6 : 74 \| 7 \| "singled out" \| jeff mccracken \| steve hibbert \| november 1, 1996 \| b727 row 7 : 75 \| 8 \| "dangerous secret" \| jeff mccracken \| jeff sherman \| november 8, 1996 \| b726 row 8 : 76 \| 9 \| "sixteen candles and four-hund \| jeff mccracken \| matthew nelson \| november 15, 1996 \| b728 row 9 : 77 \| 10 \| "turkey day" \| jeff mccracken \| susan estelle jansen \| november 22, 1996 \| b729 row 10 : 79 \| 12 \| "easy street" \| jeff mccracken \| jeff menell \| december 13, 1996 \| b732 row 11 : 80 \| 13 \| "b & b's b \| jeff mccracken \| mark blutman & howard bus \| january 3, 1997 \| b733 row 12 : 81 \| 14 \| "wheels" \| jeff mccracken \| jeff sherman \| january 17, 1997 \| b734 row 13 : 82 \| 15 \| "chick like me" \| jeff mccracken \| steve hibbert \| january 31, 1997 \| b731 row 14 : 83 \| 16 \| "a long walk to pittsburgh ( \| jeff mccracken \| matthew nelson \| february 7, 1997 \| b736 row 15 : 84 \| 17 \| "a long walk to pittsburgh ( \| jeff mccracken \| mark blutman & howard bus \| february 14, 1997 \| b737 row 16 : 85 \| 18 \| "uncle daddy" \| jeff mccracken \| steve young \| february 28, 1997 \| b738 row 17 : 86 \| 19 \| "quiz show" \| jeff mccracken \| steve hibbert \| march 21, 1997 \| b735 row 18 : 87 \| 20 \| "security guy" \| jeff mccracken \| steve hibbert \| april 25, 1997 \| b740 row 19 : 88 \| 21 \| "cult fiction" \| jeff mccracken \| jeff menell \| may 2, 1997 \| b739 row 20 : 89 \| 22 \| "learning to fly" \| jeff mccracken \| jeff sherman \| may 9, 1997 \| b741 ] Execute this SQL based on the above table: select ( select no. in series where directed by = 'jeff mccracken' ) - ( select no. in series where directed by = 'jeff mccracken' )	0.0
[ header: album title \| format \| year \| original label \| chart positions row 1 : distant plastic trees \| lp \| 1991 \| red flame \| None row 2 : the wayward bus \| lp \| 1992 \| popup \| None row 3 : the house of tomorrow \| ep \| 1992 \| feel good all over \| None row 4 : the charm of the highway strip \| lp \| 1994 \| merge records \| None row 5 : holiday \| lp \| 1994 \| feel good all over \| None row 6 : get lost \| lp \| 1995 \| merge records \| None row 7 : 69 love songs \| lp \| 1999 \| merge records \| None row 8 : i \| lp \| 2004 \| nonesuch records \| #152 (billboard 200) row 9 : distortion \| lp \| 2008 \| nonesuch records \| #77 (billboard 200) row 10 : realism \| lp \| 2010 \| nonesuch records \| #110 (billboard 200) row 11 : love at the bottom of the sea \| lp \| 2012 \| merge records \| #89 (billboard 200) ] Execute this SQL based on the above table: select chart positions where chart positions in ( 'None' , '#89 (billboard 200)' ) order by year desc limit 1	#89 (billboard 200)
[ 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 ( took office ) where left office = '1 january 1994'	1
[ header: date \| opposition \| result \| score \| brazil scorers \| competition row 1 : 9-jun-68 \| uruguay \| w \| feb-00 \| tostao, sadi \| taca rio branco row 2 : 12-jun-68 \| uruguay \| w \| apr-00 \| paulo borges, tosta \| taca rio branco row 3 : 16-jun-68 \| west germany \| l \| 2-jan \| tostao \| international friendly row 4 : 20-jun-68 \| poland \| w \| 3-jun \| rivelino (2), j \| international friendly row 5 : 23-jun-68 \| czechoslovakia \| l \| 3-feb \| natal, carlos alberto tor \| international friendly row 6 : 25-jun-68 \| yugoslavia \| w \| feb-00 \| carlos alberto torres, \| international friendly row 7 : 30-jun-68 \| portugal \| w \| feb-00 \| rivelino, tostao \| international friendly row 8 : 7-jul-68 \| mexico \| w \| feb-00 \| jairzinho (2) \| international friendly row 9 : 10-jul-68 \| mexico \| l \| 2-jan \| rivelino \| international friendly row 10 : 14-jul-68 \| peru \| w \| 3-apr \| natal, jairzinho, \| international friendly row 11 : 17-jul-68 \| peru \| w \| apr-00 \| rivelino, gerson \| international friendly row 12 : 25-jul-68 \| paraguay \| w \| apr-00 \| pele (2), toninho guerreir \| taca oswaldo cruz row 13 : 28-jul-68 \| paraguay \| l \| 0-1 \| None \| taca oswaldo cruz row 14 : 7-aug-68 \| argentina \| w \| 1-apr \| waltencir, roberto mir \| international friendly row 15 : 11-aug-68 \| argentina \| w \| 2-mar \| evaldo, rodrigues \| international friendly row 16 : 31-oct-68 \| mexico \| l \| 2-jan \| carlos alberto torres \| international friendly row 17 : 3-nov-68 \| mexico \| w \| 1-feb \| pele, jairzinho \| international friendly row 18 : 6-nov-68 \| fifa xi \| w \| 1-feb \| rivelino, tostao \| international friendly (unofficial match) row 19 : 13-nov-68 \| coritiba \| w \| 1-feb \| dirceu lopes, ze car \| international friendly (unofficial match) row 20 : 14-dec-68 \| west germany \| d \| 2-feb \| eduardo (2) \| international friendly row 21 : 17-dec-68 \| yugoslavia \| d \| 3-mar \| carlos alberto torres, \| international friendly row 22 : 19-dec-68 \| yugoslavia \| w \| 2-mar \| vaguinho, amauri, r \| international friendly ] Execute this SQL based on the above table: select count ( * ) where competition = 'taca rio branco'	2
[ header: tie no \| home team \| score \| away team \| date row 1 : 1 \| enfield \| 1-1 \| leyton orient \| 19 november 1988 row 2 : replay \| leyton orient \| 2-2 \| enfield \| 23 november 1988 row 3 : replay \| leyton orient \| 0-1 \| enfield \| 28 november 1988 row 4 : 2 \| blackpool \| 2-1 \| scunthorpe united \| 19 november 1988 row 5 : 3 \| darlington \| 1-2 \| notts county \| 19 november 1988 row 6 : 4 \| bath city \| 2-0 \| grays athletic \| 19 november 1988 row 7 : 6 \| burnley \| 0-2 \| chester city \| 19 november 1988 row 8 : 7 \| preston north end \| 1-1 \| tranmere rovers \| 19 november 1988 row 9 : replay \| tranmere rovers \| 3-0 \| preston north end \| 22 november 1988 row 10 : 9 \| reading \| 4-2 \| hendon \| 19 november 1988 row 11 : 10 \| woking \| 1-4 \| cambridge united \| 19 november 1988 row 12 : 11 \| gillingham \| 3-3 \| peterborough united \| 19 november 1988 row 13 : replay \| peterborough united \| 1-0 \| gillingham \| 23 november 1988 row 14 : 12 \| bolton wanderers \| 0-0 \| chesterfield \| 19 november 1988 row 15 : replay \| chesterfield \| 2-3 \| bolton wanderers \| 28 november 1988 row 16 : 13 \| grimsby town \| 1-0 \| wolverhampton wanderers \| 19 november 1988 row 17 : 14 \| stafford rangers \| 2-2 \| crewe alexandra \| 19 november 1988 row 18 : replay \| crewe alexandra \| 3-2 \| stafford rangers \| 22 november 1988 row 19 : 15 \| scarborough \| 2-1 \| stockport county \| 19 november 1988 row 20 : replay \| doncaster rovers \| 2-1 \| brandon united \| 22 november 1988 row 21 : 17 \| fulham \| 0-1 \| colchester united \| 19 november 1988 row 22 : 18 \| brentford \| 2-0 \| halesowen town \| 19 november 1988 row 23 : 20 \| altrincham \| 3-2 \| lincoln city \| 19 november 1988 row 24 : 23 \| mansfield town \| 1-1 \| sheffield united \| 19 november 1988 row 25 : replay \| sheffield united \| 2-1 \| mansfield town \| 22 november 1988 row 26 : 25 \| halifax town \| 1-0 \| york city \| 19 november 1988 row 27 : 27 \| southport \| 0-2 \| port vale \| 19 november 1988 row 28 : 28 \| runcorn \| 2-2 \| wrexham \| 19 november 1988 row 29 : replay \| wrexham \| 2-3 \| runcorn \| 22 november 1988 row 30 : 29 \| torquay united \| 2-2 \| fareham town \| 19 november 1988 row 31 : 30 \| kettering town \| 2-1 \| dartford \| 19 november 1988 row 32 : 31 \| rotherham united \| 3-1 \| barrow \| 19 november 1988 row 33 : 34 \| waterlooville \| 1-4 \| aylesbury united \| 19 november 1988 row 34 : 35 \| telford united \| 1-1 \| carlisle united \| 19 november 1988 row 35 : replay \| carlisle united \| 4-1 \| telford united \| 22 november 1988 row 36 : 36 \| swansea city \| 3-1 \| northampton town \| 19 november 1988 row 37 : 37 \| frickley athletic \| 0-2 \| northwich victoria \| 19 november 1988 row 38 : 38 \| hartlepool united \| 2-0 \| wigan athletic \| 19 november 1988 row 39 : 39 \| welling united \| 3-0 \| bromsgrove rovers \| 19 november 1988 ] Execute this SQL based on the above table: select date where home team > ( select home team where date = '19 november 1988' ) order by home team limit 1	19 november 1988
[ header: season \| tier \| division \| place row 1 : 1928-84 \| 5 \| regional \| None row 2 : 1984/85 \| 4 \| 3a \| 6th row 3 : 1985/86 \| 4 \| 3a \| 9th row 4 : 1986/87 \| 4 \| 3a \| 11th row 5 : 1987/88 \| 4 \| 3a \| 15th row 6 : 1988/89 \| 4 \| 3a \| 4th row 7 : 1989/90 \| 4 \| 3a \| 9th row 8 : 1990/91 \| 4 \| 3a \| 9th row 9 : 1991/92 \| 4 \| 3a \| 5th row 10 : 1992/93 \| 4 \| 3a \| 17th row 11 : 1993/94 \| 4 \| 3a \| 7th row 12 : 1994/95 \| 4 \| 3a \| 4th row 13 : 1995/96 \| 4 \| 3a \| 1st row 14 : 1996/97 \| 3 \| 2ab \| 19th row 15 : 1997/98 \| 4 \| 3a \| 2nd ] Execute this SQL based on the above table: select place where tier < 4	19th
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 october 2004 \| estadio cuscatlan, \| el salvador \| 2-0 \| 2-0 \| 2006 fifa world cup qualification row 2 : 2 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 3-0 \| 6-0 \| 2006 fifa world cup qualification row 3 : 3 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 4-0 \| 6-0 \| 2006 fifa world cup qualification row 4 : 4 \| 13 october 2004 \| rfk stadium, washington, \| panama \| 5-0 \| 6-0 \| 2006 fifa world cup qualification row 5 : 5 \| 17 november 2004 \| columbus crew stadium, columbus, \| jamaica \| 1-0 \| 1-1 \| 2006 fifa world cup qualification row 6 : 6 \| 9 february 2005 \| queen's park oval, port of spain \| trinidad and tobago \| 1-0 \| 2-1 \| 2006 fifa world cup qualification row 7 : 7 \| 19 march 2005 \| university stadium, albuquerque, united \| honduras \| 1-0 \| 1-0 \| friendly row 8 : 8 \| 30 march 2005 \| legion field, birmingham, united \| guatemala \| 1-0 \| 2-0 \| 2006 fifa world cup qualification row 9 : 9 \| 19 february 2006 \| pizza hut park, frisco, united states \| guatemala \| 3-0 \| 4-0 \| friendly row 10 : 10 \| 9 june 2007 \| the home depot center, carson, united states \| trinidad and tobago \| 2-0 \| 2-0 \| 2007 concacaf gold cup row 11 : 11 \| 28 june 2007 \| estadio jose pachencho \| argentina \| 1-0 \| 1-4 \| 2007 copa america row 12 : 12 \| 15 june 2008 \| the home depot center, carson, united states \| barbados \| 6-0 \| 8-0 \| 2010 fifa world cup qualification row 13 : 13 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 1-0 \| 2-1 \| 2014 fifa world cup qualification row 14 : 14 \| 12 october 2012 \| sir vivian richards stadium \| antigua and barbuda \| 2-1 \| 2-1 \| 2014 fifa world cup qualification row 15 : 15 \| 12 june 2013 \| centurylink field, seattle, united states \| panama \| 2-0 \| 2-0 \| 2014 fifa world cup qualification row 16 : 16 \| 21 july 2013 \| m&t bank stadium, balti \| el salvador \| 3-1 \| 5-1 \| 2013 concacaf gold cup row 17 : 17 \| 24 july 2013 \| cowboys stadium, arlington, united \| honduras \| 1-0 \| 3-1 \| 2013 concacaf gold cup row 18 : 18 \| 14 august 2013 \| asim ferhatovic hase stadium, \| bosnia and herzegovin \| 1-2 \| 4-3 \| friendly row 19 : 19 \| 10 september 2013 \| columbus crew stadium, columbus, \| mexico \| 1-0 \| 2-0 \| 2014 fifa world cup qualification ] Execute this SQL based on the above table: select result where venue = 'centurylink field, seattle, united states'	2-0
[ header: date \| race name \| d(f) \| course \| prize (£) \| odds \| runners \| place \| margin \| winner/runner-up \| time \| jockey row 1 : july 1879 \| chesterfield stakes \| 5 \| newmarket \| 1130 \| 9/4 \| 11 \| 1 \| 1 \| petal \| 0:59 \| charles wood row 2 : 29 july 1879 \| richmond stakes \| 6 \| goodwood \| 1762 \| None \| 8 \| 1 \| None \| None \| None \| None row 3 : august 1879 \| prince of wales stakes \| 5 \| york \| 340 \| 1/2 \| 9 \| 1 \| 0.5 \| brother to ersilia \| None \| fred archer row 4 : 1879 \| triennial produce stakes \| 10 \| newmarket \| 881 \| None \| 11 \| 1 \| None \| None \| None \| None row 5 : 1879 \| rous memorial stakes \| 5 \| newmarket \| 567 \| None \| 10 \| 1 \| None \| None \| None \| None row 6 : 26 may 1880 \| epsom derby \| 12 \| epsom downs \| 6375 \| 2/1 \| 19 \| 1 \| head \| robert the devil \| 2:48 \| fred archer row 7 : june 1880 \| st. james's palace \| 8 \| ascot \| 1550 \| 30/100 \| 5 \| 1 \| head \| fernandez \| None \| g fordham row 8 : 15 september 1880 \| st leger \| 14.5 \| doncaster \| 6100 \| 4/5 \| 12 \| 6 \| None \| robert the devil \| 3:32 \| None row 9 : 28 september 1880 \| great foal stakes \| 10 \| newmarket \| 2697 \| 9/2 \| 7 \| 2 \| head \| robert the devil \| 2:25 \| tom cannon row 10 : 14 october 1880 \| champion stakes \| 10 \| newmarket \| 2071 \| 5/4 \| 4 \| 2 \| 10 \| robert the devil \| 2:10 \| g fordham row 11 : 27 april 1881 \| city and suburban handicap \| 10 \| epsom downs \| 1230 \| 100/8 \| 24 \| 1 \| 1.5 \| foxhall \| 2:07 \| fred archer row 12 : 3 june 1881 \| epsom gold cup \| 12 \| epsom downs \| 500 \| None \| 2 \| 1 \| None \| robert the devil \| None \| None row 13 : 13 october 1881 \| champion stakes \| 10 \| newmarket \| 2087 \| 4/6 \| 8 \| 1 \| 0.75 \| scobell \| 2:23.6 \| fred archer row 14 : 25 october 1881 \| cambridgeshire stakes \| 9 \| newmarket \| 2017 \| 9/2 \| 32 \| 7 \| None \| foxhall \| 2:15.4 \| fred archer ] Execute this SQL based on the above table: select jockey order by runners desc limit 1	fred archer
[ header: \| brand \| active ingredient \| therapeutic area \| pathology row 1 : 1 \| ebastel and others \| ebastine \| respiratory \| allergy row 2 : 2 \| prevencor \| atorvastatin \| cardiovascular \| cholesterol row 3 : 3 \| esertia \| escitalopram \| central nervous system \| depression row 4 : 4 \| plusvent \| salmeterol+fluticasone \| respiratory \| asthma & copd row 5 : 5 \| almogran and others \| almotriptan \| central nervous system \| migraine row 6 : 6 \| parapres \| candesartan cilexetil \| cardiovascular \| hypertension row 7 : 7 \| airtal and others \| aceclofenac \| osteomuscular \| pain row 8 : 8 \| opiren \| lansoprazole \| digestive \| ulcer row 9 : 9 \| dobupal \| venlafaxine \| central nervous system \| depression row 10 : 10 \| tesavel & efficib \| sitagliptin & sitaglip \| gastrointestinal \| diabetes row 11 : 11 \| solaraze \| diclofenac solium + h \| dermatology \| actinic keratoses row 12 : 12 \| almax and others \| almagate \| gastrointestinal \| antacid row 13 : 13 \| balneum and others \| soya oil \| dermatology \| atopic dermatitis row 14 : 14 \| pantopam \| pantoprazole \| gastrointestinal \| gastroesophageal reflux row 15 : 15 \| decoderm tri and others \| fluprednidene \| dermatology \| mycotic dermatitis ] Execute this SQL based on the above table: select active ingredient where id = 1	ebastine
[ header: camp \| div sec division \| admin district \| 9 feb \| 11 feb \| 16 feb \| 25 feb \| 27 feb \| 2 mar \| 4 mar \| 6 mar \| 11 mar \| 13 mar \| 24 mar \| 30 mar \| 31 mar row 1 : ariviththodam sivanantha \| vengalachedikulam \| vav \| 581 \| 581 \| 581 \| 581 \| 584 \| 584 \| 585 \| 585 \| 583 \| 583 \| 601 \| 601 \| 601 row 2 : cheddikulam maha vidy \| vengalachedikulam \| vav \| 1624 \| 1624 \| 1624 \| 1965 \| 1965 \| 1965 \| 1996 \| 1996 \| 2001 \| 2001 \| 1995 \| 1995 \| 1995 row 3 : nelukkulam kala \| vavuniya \| vav \| 2829 \| 2829 \| 2829 \| 3071 \| 3084 \| 3084 \| 3084 \| 3068 \| 3068 \| 3082 \| 3101 \| 3070 \| 3070 row 4 : pampamadhu hostel school \| vavuniya \| vav \| 2779 \| 2779 \| 4181 \| 4131 \| 4131 \| 4131 \| 4131 \| 4108 \| 4108 \| 4108 \| 4178 \| 4178 \| 4178 row 5 : ponthoodam government tamil mixed school \| vavuniya \| vav \| 1351 \| 1351 \| 1351 \| 1365 \| 1310 \| 1310 \| 1310 \| 1308 \| 1308 \| 1320 \| 1327 \| 1319 \| 1319 row 6 : poonathoddam college of education \| vavuniya \| vav \| 4406 \| 4406 \| 5302 \| 5302 \| 5009 \| 5009 \| 5009 \| 5036 \| 5036 \| 5119 \| 5236 \| 5243 \| 5243 row 7 : vavuniya tamil \| vavuniya \| vav \| None \| 1200 \| 4390 \| 3838 \| 4085 \| 4085 \| 5475 \| 3540 \| 3390 \| 3390 \| 3963 \| 3969 \| 3969 row 8 : kaithady palmyra research \| thenmarachchi \| jaf \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| None \| 357 row 9 : kodikamam government tam \| thenmarachchi \| jaf \| None \| None \| 411 \| 424 \| 503 \| 503 \| 655 \| 711 \| 706 \| 706 \| 1006 \| 1006 \| 1006 row 10 : thirunagar old court house \| jaffna \| jaf \| None \| None \| 73 \| 74 \| 49 \| 49 \| 108 \| 108 \| 113 \| 113 \| 114 \| 114 \| 140 row 11 : kalimoddai \| nanaddan \| man \| None \| None \| 445 \| 445 \| 445 \| 445 \| 445 \| 454 \| 454 \| 454 \| 454 \| 454 \| 454 row 12 : mannar district general hospital \| mannar town \| man \| None \| None \| None \| None \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 \| 279 row 13 : sirukandal \| nanaddan \| man \| None \| None \| 357 \| 357 \| 357 \| 357 \| 357 \| 350 \| 350 \| 350 \| 350 \| 350 \| 350 row 14 : thampalakamam peripheral unit \| thampalakamam \| tri \| None \| None \| None \| 33 \| 76 \| 79 \| 77 \| 77 \| 75 \| 75 \| 35 \| 35 \| 35 row 15 : polonnaruwa general hospital \| None \| pol \| None \| None \| None \| 86 \| 171 \| 171 \| 171 \| 171 \| 171 \| 171 \| 100 \| 100 \| 92 ] Execute this SQL based on the above table: select div sec division where camp = 'sirukandal' order by 16 feb asc limit 264	nanaddan
[ header: launch date \| operator \| name \| sample origin \| samples returned \| recovery date \| mission result row 1 : june 14, 1969 \| None \| luna e-8-5 no.402 \| the moon \| none \| None \| failure launch failure row 2 : july 13, 1969 \| None \| luna 15 \| the moon \| none \| None \| failure crash-landed on the moon row 3 : 23 september 1969 \| None \| cosmos 300 \| the moon \| none \| None \| failure failed to leave earth orbit row 4 : 22 october 1969 \| None \| cosmos 305 \| the moon \| none \| None \| failure failed to leave earth orbit row 5 : 6 february 1970 \| None \| luna e-8-5 no.405 \| the moon \| none \| None \| failure launch failure row 6 : september 12, 1970 \| None \| luna 16 \| the moon \| 101 grams (3.6 oz) of lunar \| september 24, 1970 \| success row 7 : september 2, 1971 \| None \| luna 18 \| the moon \| none \| None \| failure crash-landed on the moon row 8 : february 14, 1972 \| None \| luna 20 \| the moon \| 55 grams (1.9 oz) of lunar \| february 25, 1972 \| success row 9 : november 2, 1974 \| None \| luna 23 \| the moon \| none \| None \| failure drilling device damaged on moon landing mission abandoned row 10 : october 16, 1975 \| None \| luna e-8-5m no.412 \| the moon \| none \| None \| failure launch failure row 11 : august 9, 1976 \| None \| luna 24 \| the moon \| 170 grams (6.0 oz) of \| august 22, 1976 \| success row 12 : 1979 (planned) (canceled 1977) \| None \| mars 79 ("mars 5m") \| mars \| None \| None \| canceled in 1977 planned to return 500 grams (18 row 13 : february 7, 1999 \| None \| stardust \| 81p/wild (comet \| over 1 million comet particles \| january 15, 2006 \| success row 14 : august 8, 2001 \| None \| genesis \| solar wind \| solar wind particles \| september 8, 2004 \| partial success return capsule damaged after failed parachute row 15 : may 9, 2003 \| None \| hayabusa \| 25143 itokawa (asteroid surface) \| 1,500 grains of asteroid particles \| june 13, 2010 \| partial success planned to return several hundred milligram row 16 : november 8, 2011 \| None \| fobos-grunt \| phobos (mars satellite soil) \| none \| None \| failure failed to leave earth orbit crashed into the southern row 17 : july 2014 (planned, earliest) \| None \| hayabusa 2 \| planned for (162173) 1999 ju3 \| None \| 2020 (planned) \| None row 18 : 2016 (planned) \| None \| osiris-rex \| planned for 101955 bennu ( \| None \| 2023 (planned) \| planned to return between 60 g to 2 kg row 19 : 2017 (planned) \| None \| chang'e 5 \| the moon \| None \| 2017 (planned) \| planned to return at least 2 kilograms (4.4 row 20 : 2020-2022 (proposed) \| None \| marcopolo-r \| near-earth object (asteroid surface) \| None \| to be determined \| to return samples from a yet to be determined row 21 : 2020/2021 (planned) \| None \| luna-grunt \| the moon \| None \| 2021 (planned) \| planned to return up to 1 kilogram (2.2 row 22 : mid-2020s (proposed) \| None \| meji msr \| mars \| None \| to be determined \| to be determined row 23 : mid-2020s (proposed) \| None \| mars-grunt \| mars \| None \| to be determined \| intended to return about 200 grams (7.1 o row 24 : by 2030 \| None \| chinese mars sample return mission \| mars \| None \| to be determined \| to be determined ] Execute this SQL based on the above table: select name where id = 1	luna e-8-5 no.402
[ header: date \| time \| opponent# \| site \| tv \| result \| attendance row 1 : september 4 \| 7:00 pm \| pacific \| jones stadium • lubbock, \| None \| w 55-7 \| 29164 row 2 : september 11 \| 1:00 pm \| at #9 nebraska \| memorial stadium • lincoln, \| None \| l 27-50 \| 75771 row 3 : september 18 \| 12:00 pm \| at georgia \| sanford stadium • athens, \| None \| l 11-17 \| 74511 row 4 : september 25 \| 12:00 pm \| at baylor \| floyd casey stadium • waco, \| raycom \| l 26-28 \| 32690 row 5 : october 2 \| 11:00 am \| #14 texas a&m \| jones stadium • lubbock, \| abc \| l 6-31 \| 50748 row 6 : october 9 \| 1:00 pm \| north carolina state \| jones stadium • lubbock, \| None \| l 34-36 \| 26943 row 7 : october 16 \| 7:00 pm \| rice \| jones stadium • lubbock, \| None \| w 45-16 \| 27812 row 8 : october 30 \| 12:00 pm \| at texas \| texas memorial stadium • austin \| raycom \| w 31-22 \| 63132 row 9 : november 6 \| 12:00 pm \| tcu \| jones stadium • lubbock, \| raycom \| w 49-21 \| 31922 row 10 : november 13 \| 2:00 pm \| at smu \| ownby stadium • university park, tx \| None \| w 41-24 \| 15714 row 11 : november 20 \| 7:00 pm \| vs. houston \| alamodome • san a \| None \| w 58-7 \| 28652 row 12 : december 31 \| 1:30 pm \| vs. #19 oklahom \| sun bowl stadium • el paso, \| cbs \| l 10-41 \| 43848 ] Execute this SQL based on the above table: select count ( site ) where time >= '1:30 pm'	0
[ header: year \| title \| peak chart positions us country \| peak chart positions us \| album row 1 : 1950 \| "make up your mind" \| None \| None \| non-album singles row 2 : 1950 \| "how far is heaven" \| None \| None \| non-album singles row 3 : 1952 \| "glory land march" \| None \| None \| non-album singles row 4 : 1952 \| "it wasn't god who made hon \| 1 \| 27 \| country hit parade row 5 : 1952 \| "a wedding ring ago" \| None \| None \| the kitty wells story row 6 : 1953 \| "the things i might have been" \| None \| 22 \| country hit parade row 7 : 1953 \| "paying for that back street affair" \| 6 \| None \| country hit parade row 8 : 1953 \| "honky tonk walt \| None \| None \| country heart row 9 : 1953 \| "i don't claim to be an angel \| None \| None \| country hit parade row 10 : 1953 \| "hey joe" \| 8 \| None \| kitty wells' golden favorites row 11 : 1953 \| "cheatin's a sin" \| 9 \| None \| country hit parade row 12 : 1954 \| "release me" \| 8 \| None \| country hit parade row 13 : 1954 \| "you're not so easy to forget" \| None \| None \| after dark row 14 : 1954 \| "thou shalt not steal" \| 14 \| None \| kitty wells row 15 : 1955 \| "making believe" \| 2 \| None \| country hit parade row 16 : 1955 \| "there's poison in your heart" \| 9 \| None \| country hit parade row 17 : 1955 \| "the lonely side of town" \| 7 \| None \| after dark row 18 : 1956 \| "how far is heaven" (with carol \| 11 \| None \| singing on sunday row 19 : 1956 \| "searching (for someone like you)" \| 3 \| None \| kitty wells' golden favorites row 20 : 1956 \| "repenting" \| 6 \| None \| kitty wells' golden favorites row 21 : 1957 \| "three ways (to love you)" \| 7 \| None \| kitty wells' golden favorites row 22 : 1957 \| "(i'll always be your) \| 10 \| None \| kitty wells' golden favorites row 23 : 1958 \| "i can't stop loving you" \| 3 \| None \| kitty wells' golden favorites row 24 : 1958 \| "jealousy" \| 7 \| 78 \| kitty wells' golden favorites row 25 : 1958 \| "touch and go heart" \| 15 \| None \| the lonely side of town row 26 : 1959 \| "mommy for a day" \| 5 \| None \| kitty wells' golden favorites row 27 : 1959 \| "your wild life's gonna get you \| 12 \| None \| after dark row 28 : 1959 \| "amigo's guitar" \| 5 \| None \| seasons of my heart ] Execute this SQL based on the above table: select count ( title ) where title = '"searching (for someone like you)"'	1
[ header: date \| opponent \| score \| leading scorer \| attendance \| record row 1 : may 17 \| @ indiana \| 53-64 \| nakia sanford (14) \| 10533 \| 0-1 row 2 : may 31 \| vs. los angeles \| 59-70 \| monique currie (15) \| 11517 \| 2-3 row 3 : june 3 \| @ phoenix \| 93-98 \| alana beard (33) \| 7561 \| 2-4 row 4 : june 8 \| @ connecticut \| 79-87 \| monique currie (28) \| 7174 \| 2-6 row 5 : june 11 \| vs. sacramento \| 76-79 \| taj mcwilliam \| 6146 \| 2-7 row 6 : june 13 \| @ chicago \| 64-57 \| alana beard (22) \| 2600 \| 3-7 row 7 : june 18 \| @ houston \| 67-63 \| alana beard (23) \| 7054 \| 4-7 row 8 : june 20 \| vs. atlanta \| 72-61 \| alana beard (18) \| 7448 \| 5-7 row 9 : june 29 \| @ seattle \| 49-64 \| alana beard (16) \| 7965 \| 6-9 row 10 : july 1 \| @ sacramento \| 81-87 \| alana beard (31) \| 5705 \| 6-10 row 11 : july 8 \| vs. indiana \| 50-48 \| taj mcwilliam \| 7587 \| 7-11 row 12 : july 11 \| @ detroit \| 66-79 \| coco miller (15) \| 8596 \| 7-12 row 13 : july 13 \| vs. connecticut \| 69-64 \| nikki blue (13) \| 9610 \| 8-12 row 14 : july 17 \| @ new york \| 56-77 \| alana beard (15) \| 8344 \| 8-13 row 15 : july 20 \| vs. seattle \| 89-57 \| taj mcwilliam \| 8543 \| 9-14 row 16 : july 27 \| vs. connecticut \| 60-82 \| taj mcwilliam \| 9357 \| 10-16 row 17 : august 29 \| vs. chicago \| 75-79 \| alana beard (18) \| 10043 \| 10-17 row 18 : august 30 \| @ minnesota \| 78-92 \| alana beard (27) \| 6980 \| 10-18 row 19 : september 2 \| vs. indiana \| 68-79 \| alana beard (17) \| 7244 \| 10-19 row 20 : september 6 \| vs. detroit \| 69-84 \| monique currie (15) \| 9976 \| 10-20 row 21 : september 11 \| @ detroit \| 66-78 \| alana beard (16) monique \| 8145 \| 10-22 row 22 : september 13 \| @ connecticut \| 81-87 \| monique currie (23) \| 8652 \| 10-23 row 23 : september 14 \| vs. minnesota \| 70-96 \| alana beard (17) \| 10438 \| 10-24 ] Execute this SQL based on the above table: select date order by attendance desc limit 1	may 31
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1998 \| turin marathon \| turin, italy \| 3rd \| marathon \| 2:12:59 row 2 : 2003 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:15:31 row 3 : 2004 \| vienna marathon \| vienna, austria \| 3rd \| marathon \| 2:11:24 row 4 : 2004 \| berlin marathon \| berlin, germany \| 5th \| marathon \| 2:09:08 row 5 : 2005 \| world championships \| helsinki, finland \| 18th \| marathon \| 2:16:33 row 6 : 2006 \| paris marathon \| paris, france \| 4th \| marathon \| 2:08:55 row 7 : 2006 \| lisbon marathon \| lisbon, portugal \| 1st \| marathon \| 2:21:08 row 8 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dns ] Execute this SQL based on the above table: select venue where venue != 'osaka, japan' and competition = ( select competition where venue = 'osaka, japan' and event = 'marathon' )	helsinki, finland
[ header: year \| winner \| album \| other finalists row 1 : 2002 \| che fu \| navigator \| dark tower - canterbury drafts row 2 : 2003 \| nesian mystik \| polysaturated \| deceptikonz - elimination p row 3 : 2004 \| scribe \| the crusader \| king kapisi - 2nd row 4 : 2005 \| p-money \| magic city \| tha feelstyle - break it to row 5 : 2006 \| frontline \| borrowed time \| nesian mystik - fresh row 6 : 2007 \| pnc \| rookie card \| 4 corners - the foundations decepti row 7 : 2008 \| scribe \| rhyme book \| mareko - white sunday 2: the row 8 : 2009 \| ladi6 \| time is not much \| savage - savage row 9 : 2010 \| david dallas \| something awesome \| j. williams - young row 10 : 2011 \| ladi6 \| the liberation of \| david dallas - the rose row 11 : 2012 \| home brew \| home brew \| adeaze - rise & row 12 : 2013 \| aaradhna \| treble & reverb \| at peace - girl songs p-money ] Execute this SQL based on the above table: select count ( other finalists ) where year > 5	12
[ header: year \| show \| role \| channel \| extra row 1 : 2004 \| boogie woogie-chalo \| dance contestant \| set (sony entertainment television) \| finalist (top 5) row 2 : 2007 (may-october) \| saregamapa challenge \| singing contestant \| zee network \| finalist (top 7) row 3 : 2008 (march-may) \| rock n roll family \| host \| zee network \| None row 4 : 2010 ( released dec. 5th) \| ek anhonee (tele- \| lead role (divyani) \| zoom \| None row 5 : 2011 (june-july) \| khatron ke khiladi \| celebrity contestant \| colors \| finalist (top 2) row 6 : 2012 (feb) \| kahani comedy circus ki \| guest appearance (15 episodes) \| set (sony entertainment television) \| None row 7 : 2013 (feb) \| welcome - baazi mehma \| herself \| life ok \| None ] Execute this SQL based on the above table: select role where channel > ( select channel where role = 'host' ) order by channel limit 1	lead role (divyani)
[ header: # \| menteri besar \| took office \| left office \| party row 1 : 1 \| jaafar mohamed \| 1886 \| july 1890 \| no party row 2 : 2 \| mohamed mahbob \| june 1920 \| 1922 \| no party row 3 : 3 \| abdullah jaafar \| september 1923 \| 1928 \| no party row 4 : 4 \| mustapha jaafar \| september 16, 1928 \| november 23, 1931 \| no party row 5 : 5 \| abdul hamid yusof \| november 23, 1931 \| december 28, 1934 \| no party row 6 : 6 \| ungku abdul aziz abd \| april 1935 \| june 1, 1947 \| no party row 7 : 7 \| onn jaafar \| june 1, 1947 \| may 18, 1950 \| no party row 8 : 8 \| syed abdul kadir mo \| february 18, 1952 \| june 5, 1955 \| no party row 9 : 9 \| wan idris ibra \| october 1, 1955 \| august 31, 1957 \| no party ] Execute this SQL based on the above table: select menteri besar where # = 5	abdul hamid yusof
[ header: \| name \| distance \| date \| location row 1 : 1 \| seppo simola \| 20.15 \| july 19, 1972 \| turku, finland row 2 : 2 \| matti yrjola \| 20.04 \| august 2, 1972 \| hameenkyro, f row 3 : 3 \| bo grahn \| 20.09 \| august 3, 1972 \| helsinki, finland row 4 : 4 \| reijo stahlberg \| 20.38 \| july 26, 1973 \| turku, finland row 5 : 5 \| markku tuokko \| 20.03 \| august 18, 1979 \| mikkeli, finland row 6 : 6 \| aulis akonniemi \| 20.12 \| july 25, 1982 \| ahtari, finland row 7 : 7 \| janne ronkainen \| 20.02 \| may 11, 1986 \| leselidse, soviet union row 8 : 8 \| jari kuoppa \| 20.17 \| june 12, 1986 \| ahtari, finland row 9 : 9 \| kari toyryla \| 20.05 \| july 2, 1986 \| kauhajoki, finland row 10 : 10 \| markus koistinen \| 20.31 \| june 13, 1993 \| luumaki, finland row 11 : 11 \| mika halvari \| 20.08 \| august 4, 1993 \| kotka, finland row 12 : 12 \| arsi harju \| 20.16 \| march 2, 1997 \| tampere, finland row 13 : 13 \| timo aaltonen \| 20.12 \| june 20, 1998 \| kuortane, finland row 14 : 14 \| jani illikainen \| 20.43 \| january 23, 1999 \| haaparanda, sweden row 15 : 15 \| ville tiisanoja \| 20.06 \| july 31, 1999 \| espoo, finland row 16 : 16 \| jarkko haukijarvi \| 20.2 \| july 1, 2000 \| eurajoki, finland row 17 : 17 \| tepa reinikainen \| 20.01 \| february 13, 2000 \| kuopio, finland row 18 : 18 \| conny karlsson \| 20.45 \| may 31, 2001 \| espoo, finland row 19 : 19 \| robert haggblom \| 20.13 \| may 20, 2006 \| halle, germany row 20 : 20 \| mika vasara \| 20.04 \| june 4, 2006 \| leppavirta, finland ] Execute this SQL based on the above table: select max ( distance )	20.45
[ header: date \| name of ship \| nationality \| tonnage \| fate row 1 : 5 june 1940 \| ss stancor \| united kingdom \| 798 \| sunk at 58°48′n row 2 : 7 june 1940 \| ss frances massey \| united kingdom \| 4212 \| sunk at 55°33′n 08 row 3 : 7 june 1940 \| ss eros \| united kingdom \| 5888 \| damaged at 55°33′n 08°26 row 4 : 11 june 1940 \| ss violando n go \| greece \| 2375 \| sunk at 44°04′n 12 row 5 : 19 june 1940 \| mv tudor \| norway \| 6607 \| sunk at 45°10′n 11 row 6 : 19 june 1940 \| ss baron loudoun \| united kingdom \| 3164 \| sunk at 45°00′n 11 row 7 : 19 june 1940 \| ss british monarch \| united kingdom \| 5661 \| sunk at 45°00′n 11 row 8 : 20 june 1940 \| mv moerdrecht \| netherlands \| 7493 \| sunk at 43°34′n 14 row 9 : 16 august 1940 \| ss hedrun \| sweden \| 2325 \| sunk at 57°10′n row 10 : 19 august 1940 \| ss ville de gand \| belgium \| 7590 \| sunk at 55°28′n 15 row 11 : 24 august 1940 \| ss la brea \| united kingdom \| 6666 \| sunk at 57°24′n row 12 : 25 august 1940 \| ss empire merlin \| united kingdom \| 5763 \| sunk at 58°30′n row 13 : 25 august 1940 \| mv athelcrest \| united kingdom \| 6825 \| sunk at 58°24′n ] Execute this SQL based on the above table: select count ( * ) where fate = 'sunk at 58°30′n 10°15′w / 58.500°n 10.250°w'	1
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select rider where rider = 'bob harrison'	bob harrison
[ header: season \| level \| division \| place row 1 : 2001/02 \| 4 \| 3a \| 4th row 2 : 2002/03 \| 3 \| 2ab \| 20th row 3 : 2003/04 \| 4 \| 3a \| 9th row 4 : 2004/05 \| 4 \| 3a \| 2nd row 5 : 2005/06 \| 4 \| 3a \| 3rd row 6 : 2006/07 \| 4 \| 3a \| 7th row 7 : 2007/08 \| 4 \| 3a \| 9th row 8 : 2008/09 \| 4 \| 3a \| 14th row 9 : 2009/10 \| 4 \| 3a \| 6th row 10 : 2010/11 \| 4 \| 3a \| 19th row 11 : 2011/12 \| 5 \| reg. pref \| 18th row 12 : 2012/13 \| 6 \| 1a reg \| 15th row 13 : 2013/14 \| 6 \| 1a reg \| None ] Execute this SQL based on the above table: select division where id = ( select id where division = '1a reg' ) - 1	reg. pref
[ 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 member of legislative assembly where constituency number < 51 order by constituency number desc limit 1	rafiqul islam
[ header: rank \| name \| nationality \| time row 1 : None \| mark henderson \| united states \| 54.11 row 2 : None \| eduardo piccinini \| brazil \| 54.63 row 3 : None \| brian alderman \| united states \| 54.75 row 4 : 4 \| francisco sanchez \| venezuela \| 54.99 row 5 : 5 \| edward parenti \| canada \| 55.23 row 6 : 6 \| diego cuenca \| colombia \| 55.67 row 7 : 7 \| jose meolans \| argentina \| 55.91 row 8 : 8 \| ruben calderon \| el salvador \| 56.04 ] Execute this SQL based on the above table: select name where nationality = 'el salvador'	ruben calderon
[ header: year \| name \| source \| definition row 1 : c. 486 bc \| hidush \| naksh-i-rustam \| "says darius the king: by row 2 : c.400-300 bc \| hodu \| book of esther \| says "now it took place in the days of row 3 : c. 440 bc \| india \| herodotus \| "eastward of india lies a tract which row 4 : 320 ce or later \| bharatam \| vishnu purana \| "उततर यतसमदरसय हिमादरशचव दकषिणम । row 5 : c. 650 \| five indies \| xuanzang \| "the circumference of 五印 (modern row 6 : 1298 \| india the greater india the minor middle india \| marco polo \| "india the greater is that which extends row 7 : c. 1328 \| india \| friar jordanus \| "what shall i say? the great- ] Execute this SQL based on the above table: select definition where definition != '"india the greater is that which extends from maabar to kesmacoran (i.e. from coromandel to mekran), and it contains 13 great kingdoms. . . . india the lesser extends from the province of champa to mutfili (i.e. from cochin-china to the kistna delta), and contains 8 great kingdoms. . . . abash (abyssinia) is a very great province, and you must know that it constitutes the middle india."' group by definition having count ( * ) = ( select count ( * ) where definition = '"india the greater is that which extends from maabar to kesmacoran (i.e. from coromandel to mekran), and it contains 13 great kingdoms. . . . india the lesser extends from the province of champa to mutfili (i.e. from cochin-china to the kistna delta), and contains 8 great kingdoms. . . . abash (abyssinia) is a very great province, and you must know that it constitutes the middle india."' )	"eastward of india lies a tract which is entirely sand. indeed, of all the inhabitants of asia, concerning whom anything is known, the indians dwell nearest to the east, and the rising of the sun.", "says darius the king: by the grace of ormazd these (are) the countries which i have acquired besides persia. i have established my power over them. they have brought tribute to me. that which has been said to them by me they have done. they have obeyed my law. medea... arachotia (harauvatish), sattagydia (thatagush), gandaria (gadara), india (hidush)....", "the circumference of 五印 (modern chinese: wu yin, the five indies) is about 90,000 li; on three sides it is bounded by a great sea; on the north it is backed by snowy mountains. it is wide at the north and narrow at the south; its figure is that of a half-moon.", "what shall i say? the great- ness of this india is beyond description. but let this much suffice concerning india the greater and the less. of india tertia i will say this, that i have not indeed seen its many marvels, not having been there. . . .", "उततर यतसमदरसय हिमादरशचव दकषिणम । वरष तद भारत नाम भारती यतर सततिः ।।" i.e. "the country (varsam) that lies north of the ocean and south of the snowy mountains is called bharatam; there dwell the descendants of bharata.", says "now it took place in the days of ahasuerus, the ahasuerus who reigned from hodu(india) to cush(ethiopia) over 127 provinces"
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select count ( * ) where name = 'kanaha pond'	1
[ header: against \| played \| won \| drawn \| lost \| win % row 1 : andorra \| 3 \| 3 \| 0 \| 0 \| 100% row 2 : argentina \| 4 \| 0 \| 0 \| 4 \| 0% row 3 : australia \| 1 \| 0 \| 0 \| 1 \| 0% row 4 : australia emerging \| 1 \| 0 \| 1 \| 0 \| 0% row 5 : belgium \| 14 \| 12 \| 1 \| 1 \| 85.71% row 6 : canada \| 1 \| 0 \| 0 \| 1 \| 0% row 7 : chile \| 4 \| 2 \| 0 \| 2 \| 50% row 8 : croatia \| 2 \| 1 \| 1 \| 0 \| 50% row 9 : denmark \| 1 \| 1 \| 0 \| 0 \| 100% row 10 : england a \| 7 \| 0 \| 0 \| 7 \| 0% row 11 : england counties \| 1 \| 0 \| 0 \| 1 \| 0% row 12 : royal air force rugby team \| 4 \| 0 \| 2 \| 2 \| 0% row 13 : fiji \| 1 \| 0 \| 0 \| 1 \| 0% row 14 : france \| 24 \| 0 \| 0 \| 24 \| 0% row 15 : france a \| 2 \| 0 \| 0 \| 2 \| 0% row 16 : france u \| 2 \| 1 \| 0 \| 1 \| 50% row 17 : french protectorate of morocco \| 4 \| 1 \| 1 \| 2 \| 25% row 18 : georgia \| 12 \| 3 \| 1 \| 8 \| 25% row 19 : germany \| 7 \| 6 \| 0 \| 1 \| 85.71% row 20 : hungary \| 1 \| 1 \| 0 \| 0 \| 100% row 21 : italy \| 27 \| 3 \| 1 \| 23 \| 11.11% row 22 : japan \| 3 \| 0 \| 0 \| 3 \| 0% row 23 : moldova \| 1 \| 1 \| 0 \| 0 \| 100% row 24 : morocco \| 17 \| 10 \| 1 \| 6 \| 58.82% row 25 : namibia \| 2 \| 2 \| 0 \| 0 \| 100% row 26 : netherlands \| 13 \| 12 \| 1 \| 0 \| 92.31% row 27 : new zealand services \| 2 \| 0 \| 0 \| 2 \| 0% row 28 : poland \| 16 \| 10 \| 0 \| 6 \| 62.50% row 29 : portugal \| 33 \| 21 \| 2 \| 10 \| 63.63% row 30 : czech republic \| 8 \| 2 \| 0 \| 6 \| 75% row 31 : romania \| 29 \| 2 \| 0 \| 27 \| 6.90% row 32 : russia \| 16 \| 2 \| 0 \| 14 \| 12.50% row 33 : scotland \| 8 \| 0 \| 0 \| 8 \| 0% row 34 : slovenia \| 1 \| 1 \| 0 \| 0 \| 100% row 35 : south africa \| 1 \| 0 \| 0 \| 1 \| 0% row 36 : south africa "a" \| 1 \| 0 \| 0 \| 1 \| 0% row 37 : soviet union \| 7 \| 0 \| 0 \| 7 \| 0% row 38 : sweden \| 2 \| 2 \| 0 \| 0 \| 100% row 39 : switzerland \| 1 \| 1 \| 0 \| 0 \| 100% row 40 : tunisia \| 6 \| 1 \| 0 \| 5 \| 83.33% row 41 : ukraine \| 2 \| 2 \| 0 \| 0 \| 100% row 42 : uruguay \| 7 \| 3 \| 0 \| 4 \| 42.86% row 43 : united states \| 3 \| 0 \| 0 \| 3 \| 0% row 44 : wales a \| 3 \| 0 \| 0 \| 3 \| 0% row 45 : yugoslavia \| 4 \| 4 \| 0 \| 0 \| 100% row 46 : zimbabwe \| 7 \| 5 \| 0 \| 2 \| 71.43% row 47 : total \| 336 \| 126 \| 14 \| 197 \| 37.50% ] Execute this SQL based on the above table: select win % order by against desc limit 1	71.43%
[ header: represent \| contestant \| age \| height \| hometown row 1 : 1 \| mildred kincaid adame \| 20 \| 1.65 mts \| panama city row 2 : 2 \| catherine henderson tudi \| 20 \| 1.66 mts \| panama city row 3 : 3 \| giovanna alida loa \| 21 \| 1.67 mts \| panama city row 4 : 4 \| reyna royo \| 24 \| 1.69 mts \| panama city row 5 : 5 \| ivonne ileana correa \| 23 \| 1.70 mts \| panama city row 6 : 6 \| karol guevara \| 22 \| 1.70 mts \| panama city row 7 : 7 \| betzy janette achurr \| 20 \| 1.70 mts \| panama city row 8 : 8 \| marisela moreno montero \| 24 \| 1.73 mts \| panama city row 9 : 9 \| patricia de leon \| 19 \| 1.74 mts \| panama city row 10 : 10 \| marichelle julieta r \| 20 \| 1.74 mts \| panama city row 11 : 11 \| betsy milena batista \| 21 \| 1.75 mts \| panama city row 12 : 12 \| lourdes rodriguez \| 21 \| 1.75 mts \| panama city row 13 : 13 \| janessy jasiell contreras \| 18 \| 1.75 mts \| panama city row 14 : 14 \| gina larissa correa hils \| 20 \| 1.76 mts \| panama city row 15 : 15 \| swany cisney castill \| 23 \| 1.78 mts \| panama city row 16 : 16 \| michelle krisko sugasti \| 20 \| 1.80mts \| panama city ] Execute this SQL based on the above table: select represent where contestant = 'swany cisney castillo'	15.0
[ header: courthouse \| city \| street address \| jurisdiction \| dates of use \| named for row 1 : u.s. post office and court house \| brattleboro \| None \| d. vt \| 1917-present \| row 2 : u.s. post office and court house \| burlington \| 175 main street \| d. vt \| 1870-1982 destroyed by fire in 1982 \| row 3 : federal building, post office and court house \| burlington \| 11 elmwood avenue \| d. vt \| 1958-present \| row 4 : u.s. post office and court house \| montpelier \| None \| d. vt \| 1894-1948 razed ca. \| row 5 : federal building \| montpelier \| state street \| d. vt \| 1964-1996 still in use as a post \| row 6 : u.s. court house, post office \| newport \| None \| d. vt \| 1904-1948 now the orleans county \| row 7 : u.s. court house and post office \| rutland \| 10 court street \| d. vt \| 1859-1933 now the rutland \| row 8 : u.s. court house and post office \| rutland \| None \| d. vt \| 1933-present \| row 9 : u.s. court house and post office \| windsor \| 57 main st \| d. vt \| 1858-present still in use as a \| ] Execute this SQL based on the above table: select street address where courthouse = 'federal building, post office and court house'	11 elmwood avenue
[ header: pos. \| rider \| semi-final points \| final points \| final heats \| total points row 1 : 1 \| jack milne \| 13 \| 15 \| (3,3,3,3,3) \| 28 row 2 : 2 \| wilbur lamoreaux \| 12 \| 13 \| (3,3,3,1,3) \| 25 row 3 : 3 \| cordy milne \| 11 \| 12 \| (2,3,2,3,2) \| 23 row 4 : 4 \| jack parker \| 11 \| 10 \| (2,3,1,2,2) \| 21 row 5 : 5 \| ginger lees \| 10 \| 9 \| (1,1,2,2,3) \| 19 row 6 : 6 \| frank charles \| 10 \| 7 \| (0,0,1,3,3) \| 17 row 7 : 7 \| lionel van praag \| 11 \| 6 \| (3,0,-,3,0) \| 17 row 8 : 8 \| bill kitchen \| 7 \| 9 \| (1,2,2,2,2) \| 16 row 9 : 9 \| george newton \| 11 \| 5 \| (3,0,0,0,2) \| 16 row 10 : 10 \| eric langton \| 12 \| 4 \| (1,0,0,3,0) \| 16 row 11 : 11 \| morian hansen \| 7 \| 8 \| (1,2,3,1,1) \| 15 row 12 : 12 \| eric chitty \| 11 \| 4 \| (0,2,0,1,1) \| 15 row 13 : 13 \| joe abbott \| 8 \| 6 \| (2,1,1,2,0) \| 14 row 14 : 14 \| arthur atkinson \| 8 \| 6 \| (2,0,2,1,1) \| 14 row 15 : 15 \| frank varey \| 8 \| 3 \| (0,1,1,0,1) \| 11 row 16 : 16 \| tommy croombs \| 6 \| 2 \| (0,2,0,0,0) \| 8 row 17 : 17 \| bob harrison \| 7 \| None \| None \| 7 row 18 : 18 \| alec statham \| 6 \| 0 \| (0) \| 6 ] Execute this SQL based on the above table: select rider where rider = 'tommy croombs' order by semi-final points desc limit 1	tommy croombs
[ header: game \| december \| opponent \| score \| record row 1 : 9 \| 4 \| @ montreal canadiens \| 5 - 4 \| 3-4-2 row 2 : 10 \| 6 \| @ toronto maple leafs \| 4 - 2 \| 3-5-2 row 3 : 11 \| 9 \| ottawa senators \| 3 - 2 \| 4-5-2 row 4 : 12 \| 14 \| detroit falcons \| 3 - 0 \| 5-5-2 row 5 : 13 \| 18 \| boston bruins \| 4 - 2 \| 5-6-2 row 6 : 14 \| 20 \| @ boston bruins \| 2 - 2 ot \| 5-6-3 row 7 : 15 \| 23 \| montreal canadiens \| 5 - 1 \| 6-6-3 row 8 : 16 \| 25 \| @ ottawa senators \| 4 - 1 \| 7-6-3 row 9 : 17 \| 28 \| philadelphia quakers \| 4 - 2 \| 8-6-3 row 10 : 18 \| 30 \| @ new york americans \| 2 - 2 ot \| 8-6-4 ] Execute this SQL based on the above table: select count ( record )	10
[ header: season \| tier \| division \| place row 1 : 1963-86 \| 5 \| regional \| None row 2 : 1986/87 \| 5 \| preferente \| 2nd row 3 : 1987/88 \| 4 \| 3a \| 15th row 4 : 1988/89 \| 4 \| 3a \| 15th row 5 : 1989/90 \| 4 \| 3a \| 17th row 6 : 1990/91 \| 4 \| 3a \| 12th row 7 : 1991/92 \| 4 \| 3a \| 18th row 8 : 1992/93 \| 5 \| preferente \| 1st row 9 : 1993/94 \| 4 \| 3a \| 14th row 10 : 1994/95 \| 4 \| 3a \| 16th row 11 : 1995/96 \| 4 \| 3a \| 19th row 12 : 1996/97 \| 5 \| preferente \| 1st row 13 : 1997/98 \| 4 \| 3a \| 7th row 14 : 1998/99 \| 4 \| 3a \| 18th ] Execute this SQL based on the above table: select division where place = '19th' order by id desc limit 1	3a
[ header: outcome \| no. \| date \| tournament \| surface \| opponent \| score row 1 : runner-up \| 1 \| 23 august 2004 \| la paz, bolivia \| clay \| jenifer widjaja \| 6-3, 4-6, 0-6 row 2 : runner-up \| 2 \| 6 june 2005 \| santa tecla, e \| clay \| andrea benitez \| 3-6, 0-6 row 3 : runner-up \| 2 \| 22 august 2005 \| bogota, colombia \| clay \| carla tiene \| 4-6, 0-6 row 4 : runner-up \| 4 \| 15 may 2006 \| ciudad obregon, mexico \| hard \| ellah nze \| 6-4, 3-6, 3-6 row 5 : winner \| 1 \| 5 june 2006 \| xalapa, mexico \| hard \| maria irigoyen \| 6-1, 3-6, 6-4 row 6 : winner \| 2 \| 7 september 2009 \| mazatlan, mexico \| hard \| fernanda hermenegildo \| 6-1, 6-2 row 7 : winner \| 3 \| 2 november 2009 \| bogota, colombia \| clay \| yuliana lizarazo \| 7-6(7-5), 6-4 row 8 : runner-up \| 5 \| 16 november 2009 \| asuncion, paraguay \| clay \| paula ormaechea \| 6-4, 4-6, 2-6 row 9 : winner \| 4 \| 8 november 2010 \| bogota, colombia \| clay \| patricia ku flores \| 6-1, 7-5 row 10 : winner \| 5 \| 29 november 2010 \| santiago, chile \| clay \| veronica cepede royg \| 6-2, 6-2 row 11 : winner \| 6 \| 18 july 2011 \| ribeirao preto, brazil \| clay \| vivian segnini \| 6-2, 6-2 row 12 : runner-up \| 6 \| 8 august 2011 \| santa cruz de la sierra \| clay \| maria irigoyen \| 2-6, 3-6 row 13 : winner \| 7 \| 15 august 2011 \| la paz, bolivia \| clay \| maria irigoyen \| 6-0, 7-6(7-1) row 14 : runner-up \| 7 \| 3 october 2011 \| yerevan, armenia \| clay \| julia cohen \| 6-7(6-8), 2-6 row 15 : runner-up \| 8 \| 19 march 2012 \| bangalore, india \| hard \| donna vekic \| 2-6, 4-6 row 16 : runner-up \| 9 \| 8 may 2012 \| brasilia, brazil \| clay \| gabriela paz \| 3-6, 3-6 row 17 : winner \| 8 \| 19 november 2012 \| barranquilla, colombia \| clay \| karolina nowak \| 7-6(7-4), 6-0 row 18 : winner \| 9 \| 21 october 2013 \| bogota, colombia \| hard \| anna katalina alzate \| 6-3, 6-3 row 19 : winner \| 10 \| 11 november 2013 \| lima, peru \| clay \| patricia ku flores \| 7-5, 6-7(4-7), row 20 : winner \| 11 \| 25 november 2013 \| bogota, colombia \| clay \| naomi totka \| 6-1, 6-1 row 21 : runner-up \| 10 \| 2 december 2013 \| barranquilla, colombia \| clay \| maria fernanda herazo \| 4-6, 2-6 ] Execute this SQL based on the above table: select outcome order by no. desc limit 1	winner
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| european championships \| munich, germany \| 6th \| 7.78 m row 2 : 2003 \| world championships \| paris, france \| 9th \| 7.93 m row 3 : 2004 \| olympic games \| athens, greece \| 5th \| 8.25 m row 4 : 2006 \| european championships \| gothenburg, sweden \| 9th \| 7.74 m row 5 : 2008 \| world indoor championships \| valencia, spain \| 2nd \| 8.06 m row 6 : 2008 \| olympic games \| beijing, china \| 27th \| 7.70 m row 7 : 2009 \| world championships \| berlin, germany \| 8th \| 8.06 m row 8 : 2010 \| european championships \| barcelona, spain \| 3rd \| 8.23 m row 9 : 2011 \| european team championships \| stockholm, sweden \| 3rd \| 8.12 m row 10 : 2011 \| world championships \| daegu, south korea \| 11th \| 7.87 m row 11 : 2012 \| olympic games \| london, england \| 6th \| 8.07 m row 12 : 2013 \| european indoor championships \| gothenburg, sweden \| 7th \| 7.95 m ] Execute this SQL based on the above table: select position order by venue desc limit 1	2nd
[ header: township \| fips \| population center \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alexandria \| 1100 \| None \| 859 \| 7 (18) \| 123 (48) \| 1 (0) \| 0.62% \| 39°16′8′′n 95°7 row 2 : delaware \| 17450 \| None \| 1361 \| 22 (57) \| 62 (24) \| 3 (1) \| 4.19% \| 39°14′50′′n 94° row 3 : easton \| 19625 \| None \| 1245 \| 11 (30) \| 109 (42) \| 0 (0) \| 0.11% \| 39°21′57′′n 95°7 row 4 : fairmount \| 22325 \| basehor \| 6266 \| 61 (159) \| 102 (39) \| 0 (0) \| 0.39% \| 39°8′4′′n 94° row 5 : high prairie \| 32125 \| None \| 1768 \| 14 (37) \| 124 (48) \| 0 (0) \| 0.27% \| 39°15′30′′n 95°0 row 6 : kickapoo \| 36700 \| None \| 1760 \| 15 (40) \| 114 (44) \| 3 (1) \| 2.39% \| 39°20′45′′n 94° row 7 : reno \| 58950 \| None \| 1143 \| 10 (27) \| 111 (43) \| 2 (1) \| 1.56% \| 39°1′8′′n 95°8 row 8 : sherman \| 65000 \| None \| 2367 \| 22 (57) \| 108 (42) \| 3 (1) \| 2.44% \| 39°0′59′′n 95°0 row 9 : stranger \| 68500 \| None \| 2451 \| 19 (50) \| 127 (49) \| 0 (0) \| 0.17% \| 39°8′16′′n 95°2 row 10 : tonganoxie \| 70825 \| tonganoxie (part) \| 4852 \| 35 (91) \| 137 (53) \| 1 (0) \| 0.66% \| 39°7′0′′n 95°6 ] Execute this SQL based on the above table: select geographic coordinates where geographic coordinates in ( 'None' , '39°16′8′′n 95°7′33′′w / 39.26889°n 95.12583°w' ) order by population limit 763	39°16′8′′n 95°7′33′′w / 39.26889°n 95.12583°w
[ header: no \| peak \| location \| elevation (m) \| prominence (m) \| col height (m) \| col location \| parent row 1 : 1 \| mont blanc \| france/ italy \| 4810 \| 4697 \| 113 \| near lake kubenskoye \| everest row 2 : 5 \| piz bernina \| switzerland \| 4049 \| 2234 \| 1815 \| maloja pass \| finsteraarhorn1 / m row 3 : 7 \| monte rosa \| switzerland \| 4634 \| 2165 \| 2469 \| great st bernard pass \| mont blanc row 4 : 10 \| monte viso \| italy \| 3841 \| 2062 \| 1779 \| le mauvais pass \| mont blanc row 5 : 11 \| triglav \| slovenia \| 2864 \| 2052 \| 812 \| camporosso pass \| marmolada1 / m row 6 : 12 \| barre des ecrins \| france \| 4102 \| 2045 \| 2057 \| col du lautaret \| mont blanc row 7 : 15 \| monte baldo/cima \| italy \| 2218 \| 1950 \| 268 \| near san giovanni pass in \| ortler1 / mb2 row 8 : 16 \| gran paradiso \| italy \| 4061 \| 1891 \| 2170 \| near little st bernard pass \| mont blanc row 9 : 19 \| dents du midi \| switzerland \| 3257 \| 1796 \| 1461 \| col des montets \| mont blanc row 10 : 20 \| chamechaude \| france \| 2082 \| 1771 \| 311 \| chambery \| mont blanc row 11 : 21 \| zugspitze \| germany/ austria \| 2962 \| 1746 \| 1216 \| near fern pass \| finsteraarhorn1 / m row 12 : 25 \| großer priel \| austria \| 2515 \| 1700 \| 810 \| near pichl-kainisch \| hoher dachstein1 / m row 13 : 27 \| monte bondone \| italy \| 2180 \| 1679 \| 501 \| near cadine in trento \| ortler1 / mb2 row 14 : 29 \| birnhorn \| austria \| 2634 \| 1665 \| 969 \| hochfilzen \| großglockner1 / mb row 15 : 31 \| pointe percee \| france \| 2750 \| 1643 \| 1107 \| near pont d'arbon near mege \| mont blanc row 16 : 33 \| molltaler polinik \| austria \| 2784 \| 1579 \| 1205 \| iselsberg pass \| großglockner1 / mb row 17 : 35 \| birkkarspitze \| austria \| 2749 \| 1569 \| 1180 \| seefeld in tirol \| zugspitze1 / mb2 row 18 : 37 \| grande tete de l'obiou \| france \| 2790 \| 1542 \| 1248 \| col bayard \| barre des ecrins1 / row 19 : 39 \| hochtor \| austria \| 2369 \| 1520 \| 849 \| schober pass \| großglockner1 / mb row 20 : 41 \| grand combin \| switzerland \| 4314 \| 1517 \| 2797 \| fenetre de durand \| monte rosa row 21 : 44 \| piz kesch \| switzerland \| 3418 \| 1502 \| 1916 \| lukmanier pass \| finsteraarhorn1 / m ] Execute this SQL based on the above table: select count ( * ) where parent = 'mont blanc'	7
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select count ( finish )	25
[ header: product \| main functionality \| input format \| output format \| platform \| license and cost \| notes row 1 : graphstream \| dynamic graph library \| graphstream(.dgs), graphviz \| graphstream(.dgs), graphviz \| any system supporting java \| open source \| with graphstream you deal with graphs. static row 2 : java universal network/graph (jung) framework \| network and graph manipulation, analysis, and visualization \| built-in support for graphml, pa \| built-in support for graphml, pa \| any platform supporting java \| open source (bsd license) \| jung is a java api and row 3 : svat \| visual analytics for investigation \| graphviz(.dot), graphlet \| guess(.gdf), gephi( \| any system supporting java 1.6 and openg \| closed source modules, open source modules from gephi \| commercial tool based on gephi ] Execute this SQL based on the above table: select license and cost where license and cost in ( 'manchester united' , 'closed source modules, open source modules from gephi' ) order by product desc limit 1	closed source modules, open source modules from gephi
[ header: place \| player \| country \| score \| to par row 1 : 1 \| dustin johnson \| united states \| 71-70-66=207 \| -6 row 2 : 2 \| graeme mcdowell \| northern ireland \| 71-68-71=210 \| -3 row 3 : 3 \| tiger woods \| united states \| 74-72-66=212 \| -1 row 4 : t4 \| ernie els \| south africa \| 73-68-72=213 \| e row 5 : t4 \| gregory havret \| france \| 73-71-69=213 \| e row 6 : 6 \| phil mickelson \| united states \| 75-66-73=214 \| 1 row 7 : t7 \| alex cejka \| germany \| 70-72-74=216 \| 3 row 8 : t7 \| tim clark \| south africa \| 72-72-72=216 \| 3 row 9 : t7 \| ryo ishikawa \| japan \| 70-71-75=216 \| 3 row 10 : t10 \| martin kaymer \| germany \| 74-71-72=217 \| 4 row 11 : t10 \| davis love iii \| united states \| 75-74-68=217 \| 4 row 12 : t10 \| sean o'hair \| united states \| 76-71-70=217 \| 4 ] Execute this SQL based on the above table: select count ( player ) where to par - to par > 3	0
[ header: polling firm \| month \| link \| favor \| oppose row 1 : rutgers-eagleton \| march 2014 \| None \| 64 \| 28 row 2 : quinnipiac \| july 2013 \| None \| 60 \| 31 row 3 : rutgers-eagleton \| june 2013 \| None \| 59 \| 30 row 4 : quinnipiac \| march 2013 \| None \| 64 \| 30 row 5 : public policy polling \| november 2012 \| None \| 53 \| 36 row 6 : quinnipiac \| february 2012 \| None \| 57 \| 37 row 7 : rutgers-eagleton \| february 2012 \| None \| 54 \| 35 row 8 : quinnipiac \| january 2012 \| None \| 52 \| 42 row 9 : rutgers-eagleton \| october 2011 \| None \| 52 \| 39 row 10 : rutgers-eagleton \| august 2011 \| None \| 52 \| 32 row 11 : public policy polling \| july 2011 \| None \| 47 \| 42 row 12 : quinnipiac \| november 2009 \| None \| 46 \| 49 row 13 : rutgers-eagleton \| november 2009 \| None \| 50 \| 42 row 14 : quinnipiac \| april 2009 \| None \| 49 \| 43 row 15 : zogby international \| august 2008 \| None \| 50 \| 42 row 16 : zogby international \| august 2007 \| None \| 48.1 \| 44.6 row 17 : rasmussen reports \| july 2006 \| None \| 42 \| 54 row 18 : rutgers-eagleton \| june 2006 \| pdf \| 49 \| 44 row 19 : zogby international \| february 2006 \| None \| 56 \| 39 row 20 : zogby international \| april 2005 \| html \| 54.5 \| 40.1 row 21 : rutgers-eagleton \| september 2003 \| pdf \| 43 \| 50 row 22 : zogby international \| july 2003 \| None \| 55 \| 41 ] Execute this SQL based on the above table: select polling firm order by favor asc limit 1	rasmussen reports
[ header: site name \| reason for designation biological interest \| reason for designation geological interest \| area hectares \| area acres \| coordinates & grid ref \| year in which notified \| other designations \| map & citation row 1 : bradwell meadows \| \| \| 0.9 \| 2.3 \| 53°19′19′′n 1°44 \| 1990 \| None \| map row 2 : cawdor quarry \| \| \| 4.7 \| 11.7 \| 53°08′28′′n 1°34 \| 1963 \| gcr \| map row 3 : cressbrook dale \| \| \| 120.4 \| 297.6 \| 53°15′47′′n 1°44 \| 1954 \| gcr, nnr, \| map row 4 : duckmanton railway cutting \| \| \| 3.8 \| 9.4 \| 53°13′41′′n 1°22 \| 1974 \| gcr \| map row 5 : fox hole cave \| \| \| 0.2 \| 0.4 \| 53°11′31′′n 1°51 \| 1986 \| gcr \| map row 6 : goyt valley \| \| \| 1,332.6 \| 3,292.9 \| 53°16′05′′n 1°57 \| 1951 \| spa, sac \| map row 7 : hipley hill \| \| \| 22.1 \| 54.6 \| 53°05′24′′n 1°40 \| 1963 \| None \| map row 8 : jumble coppice \| \| \| 0.7 \| 1.8 \| 53°14′42′′n 1°36 \| 1985 \| gcr \| map row 9 : leek moors \| \| \| 3,970.8 \| 9,812.2 \| 53°10′52′′n 1°59 \| 1954 \| spa, esa, gc \| map row 10 : long dale, hartington \| \| \| 53.5 \| 132.1 \| 53°09′04′′n 1°47 \| 1997 \| sac \| map row 11 : moss valley \| \| \| 26.1 \| 64.5 \| 53°18′58′′n 1°22 \| 1951 \| None \| map row 12 : moss valley woods \| \| \| 17.9 \| 44.2 \| 53°19′01′′n 1°26 \| 1993 \| None \| map row 13 : pleasley vale railway \| \| \| 3.5 \| 8.7 \| 53°10′41′′n 1°13 \| 1981 \| lnr \| map row 14 : teversal to pleasley railway \| \| \| 5 \| 12.4 \| 53°09′54′′n 1°16 \| 1982 \| lnr, wt \| map row 15 : upper lathkill \| \| \| 26.8 \| 66.3 \| 53°12′18′′n 1°47 \| 1989 \| gcr, np \| map ] Execute this SQL based on the above table: select abs ( other designations - other designations ) where site name = 'leek moors'	0
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 5 \| fernando alonso \| renault \| 56 \| 1:31:33.736 \| 1 \| 10 row 2 : 2 \| 16 \| jarno trulli \| toyota \| 56 \| 24.327 \| 2 \| 8 row 3 : 3 \| 8 \| nick heidfeld \| williams-bmw \| 56 \| 32.188 \| 10 \| 6 row 4 : 4 \| 10 \| juan pablo montoya \| mclaren-mercedes \| 56 \| 41.631 \| 11 \| 5 row 5 : 5 \| 17 \| ralf schumacher \| toyota \| 56 \| 51.854 \| 5 \| 4 row 6 : 6 \| 14 \| david coulthard \| red bull-cosworth \| 56 \| +1:12.543 \| 8 \| 3 row 7 : 7 \| 1 \| michael schumacher \| ferrari \| 56 \| +1:19.988 \| 13 \| 2 row 8 : 8 \| 15 \| christian klien \| red bull-cosworth \| 56 \| +1:20.835 \| 7 \| 1 row 9 : 9 \| 9 \| kimi raikkonen \| mclaren-mercedes \| 56 \| +1:21.580 \| 6 \| None row 10 : 10 \| 12 \| felipe massa \| sauber-petronas \| 55 \| +1 lap \| 14 \| None row 11 : 11 \| 19 \| narain karthikeyan \| jordan-toyota \| 54 \| +2 laps \| 17 \| None row 12 : 12 \| 18 \| tiago monteiro \| jordan-toyota \| 53 \| +3 laps \| 18 \| None row 13 : 13 \| 21 \| christijan albers \| minardi-cosworth \| 52 \| +4 laps \| 19 \| None row 14 : ret \| 2 \| rubens barrichello \| ferrari \| 49 \| handling \| 12 \| None row 15 : ret \| 6 \| giancarlo fisichella \| renault \| 36 \| collision \| 3 \| None row 16 : ret \| 7 \| mark webber \| williams-bmw \| 36 \| collision \| 4 \| None row 17 : ret \| 11 \| jacques villeneuve \| sauber-petronas \| 26 \| spun off \| 16 \| None row 18 : ret \| 3 \| jenson button \| bar-honda \| 2 \| engine \| 9 \| None row 19 : ret \| 4 \| anthony davidson \| bar-honda \| 2 \| engine \| 15 \| None row 20 : ret \| 20 \| patrick friesacher \| minardi-cosworth \| 2 \| spun off \| 20 \| None ] Execute this SQL based on the above table: select time/retired where grid = 14	1.0
[ header: date \| opponents \| h / a \| result f - a \| scorers \| attendance row 1 : 26 august 1933 \| plymouth argyle \| a \| 0 - 4 \| None \| 25700 row 2 : 30 august 1933 \| nottingham forest \| h \| 0 - 1 \| None \| 16934 row 3 : 2 september 1933 \| lincoln city \| h \| 1 - 1 \| green \| 16987 row 4 : 7 september 1933 \| nottingham forest \| a \| 1 - 1 \| stewart \| 10650 row 5 : 9 september 1933 \| bolton wanderers \| h \| 1 - 5 \| stewart \| 21779 row 6 : 16 september 1933 \| brentford \| a \| 4 - 3 \| brown (2), frame, hine \| 17180 row 7 : 23 september 1933 \| burnley \| h \| 5 - 2 \| dewar (4), brown \| 18411 row 8 : 14 october 1933 \| bradford park avenue \| a \| 1 - 6 \| hine \| 11033 row 9 : 21 october 1933 \| bury \| a \| 1 - 2 \| byrne \| 15008 row 10 : 25 november 1933 \| bradford city \| h \| 2 - 1 \| dewar, own goal \| 20902 row 11 : 2 december 1933 \| port vale \| a \| 3 - 2 \| black, brown, dewar \| 10316 row 12 : 9 december 1933 \| notts county \| h \| 1 - 2 \| dewar \| 15564 row 13 : 16 december 1933 \| swansea town \| a \| 1 - 2 \| hine \| 6591 row 14 : 23 december 1933 \| millwall \| h \| 1 - 1 \| dewar \| 12043 row 15 : 26 december 1933 \| grimsby town \| a \| 3 - 7 \| byrne (2), frame \| 15801 row 16 : 6 january 1934 \| lincoln city \| a \| 1 - 5 \| brown \| 6075 row 17 : 20 january 1934 \| bolton wanderers \| a \| 1 - 3 \| ball \| 11887 row 18 : 3 february 1934 \| burnley \| a \| 4 - 1 \| cape (2), green, stewart \| 9906 row 19 : 10 february 1934 \| oldham athletic \| h \| 2 - 3 \| cape, green \| 24480 row 20 : 24 february 1934 \| bradford park avenue \| h \| 0 - 4 \| None \| 13389 row 21 : 3 march 1934 \| bury \| h \| 2 - 1 \| ball, gallimore \| 11176 row 22 : 10 march 1934 \| hull city \| a \| 1 - 4 \| ball \| 5771 row 23 : 17 march 1934 \| fulham \| h \| 1 - 0 \| ball \| 17565 row 24 : 24 march 1934 \| southampton \| a \| 0 - 1 \| None \| 4840 row 25 : 30 march 1934 \| west ham united \| h \| 0 - 1 \| None \| 29114 row 26 : 31 march 1934 \| blackpool \| h \| 2 - 0 \| cape, hine \| 20038 row 27 : 2 april 1934 \| west ham united \| a \| 1 - 2 \| cape \| 20085 row 28 : 7 april 1934 \| bradford city \| a \| 1 - 1 \| cape \| 9258 row 29 : 14 april 1934 \| port vale \| h \| 2 - 0 \| brown, mcmillen \| 14777 row 30 : 21 april 1934 \| notts county \| a \| 0 - 0 \| None \| 9645 row 31 : 28 april 1934 \| swansea town \| h \| 1 - 1 \| topping \| 16678 row 32 : 5 may 1934 \| millwall \| a \| 2 - 0 \| cape, manley \| 24003 ] Execute this SQL based on the above table: select result f - a where attendance = 24003	2 - 0
[ header: rebounds \| off \| def \| player \| team \| date \| opponent \| score \| minutes played \| points \| assists \| steals \| blocks \| 20-20 \| led the league in rebounding \| notes row 1 : 37 \| 19 \| 18 \| moses malone \| houston rockets \| february 9, 1979 \| new orleans jazz \| 106-99 \| 44 \| 33 \| 2 \| None \| None \| yes \| yes \| 14 rebounds in the first quarter row 2 : 35 \| 16 \| 19 \| charles oakley \| chicago bulls \| april 22, 1988 \| cleveland cavaliers \| 103-107 \| 41 \| 26 \| 3 \| 1 \| 0 \| yes \| no \| second to last game of season, in a row 3 : 34 \| 5 \| 29 \| kareem abdul-ja \| los angeles lakers \| december 14, 1975 \| detroit pistons \| 110-100 \| 42 \| 27 \| 6 \| None \| None \| yes \| yes \| nba single-game record for defensive row 4 : 34 \| 18 \| 16 \| dennis rodman \| detroit pistons \| march 4, 1992 \| indiana pacers \| 110-107 \| 45 \| 10 \| 3 \| 2 \| 0 \| no \| yes \| overtime. 21 rebounds in the second half, row 5 : 32 \| 4 \| 28 \| elvin hayes \| capital bullets \| november 17, 1973 \| atlanta hawks \| 115-109 \| 48 \| 43 \| 0 \| None \| None \| yes \| yes \| on hayes's 28th birthday row 6 : 32 \| 7 \| 25 \| robert parish \| golden state warriors \| march 30, 1979 \| new york knicks \| 114-98 \| 36 \| 30 \| 5 \| 1 \| 2 \| yes \| no \| 11 rebounds in the first quarter. 15 row 7 : 32 \| 7 \| 25 \| swen nater (2) \| san diego clippers \| december 14, 1979 \| denver nuggets \| 112-108 \| 44 \| 12 \| 3 \| None \| None \| no \| yes \| 21 rebounds in the second half. 18 defensive row 8 : 32 \| 9 \| 23 \| dennis rodman (3) \| san antonio spurs \| january 22, 1994 \| dallas mavericks \| 103-83 \| 43 \| 8 \| 5 \| 1 \| 1 \| no \| yes \| 13 defensive rebounds in the first half row 9 : 31 \| 14 \| 17 \| larry smith \| golden state warriors \| march 28, 1981 \| denver nuggets \| 139-142 \| 45 \| 23 \| 5 \| None \| 0 \| yes \| no \| rookie. last warriors home game of season row 10 : 31 \| 8 \| 23 \| dikembe mutombo \| denver nuggets \| march 26, 1996 \| charlotte hornets \| 112-119 \| 51 \| 16 \| 0 \| 1 \| 6 \| no \| no \| double overtime row 11 : 30 \| 10 \| 20 \| george t. johnson \| golden state warriors \| march 15, 1974 \| los angeles lakers \| 112-107 \| 48 \| 14 \| 7 \| None \| 1 \| no \| no \| elmore smith of the lakers row 12 : 30 \| 6 \| 24 \| wes unseld \| washington bullets \| april 6, 1975 \| new orleans jazz \| 119-103 \| 46 \| 11 \| 5 \| None \| None \| no \| yes \| last game of season; won season rebounding title row 13 : 30 \| 7 \| 23 \| kareem abdul-ja \| los angeles lakers \| february 3, 1978 \| new jersey nets \| 105-99 \| 48 \| 37 \| 5 \| None \| None \| yes \| no \| overtime ] Execute this SQL based on the above table: select abs ( ( select def where opponent = 'new jersey nets' ) - ( select def where opponent = 'indiana pacers' ) )	7.0
[ header: event \| record \| athlete(s) \| date \| time (s) row 1 : bobsleigh - two-man \| start \| beat hefti & thomas \| 6 february 2009 \| 4.7 row 2 : bobsleigh - two-man \| track \| thomas florschutz & \| 20 february 2010 21 february 2010 \| 51.57 row 3 : bobsleigh - four-man \| start \| andre lange, kevin kuske \| 26 february 2010 \| 4.7 row 4 : bobsleigh - four-man \| track \| steve holcomb, justin \| 26 february 2010 \| 50.86 row 5 : bobsleigh - two-woman \| start \| kaillie humphries \| 23 february 2010 24 february 2010 \| 5.11 row 6 : bobsleigh - two-woman \| track \| kaillie humphries \| 24 february 2010 \| 52.85 row 7 : men's skeleton \| start \| alexander tretiakov (rus \| 18 february 2010 \| 4.48 row 8 : men's skeleton \| track \| jon montgomery (can) \| 19 february 2010 \| 52.2 row 9 : women's skeleton \| start \| anja huber (ger) \| 18 february 2010 \| 4.9 row 10 : women's skeleton \| track \| amy williams (gbr \| 19 february 2010 \| 53.68 row 11 : luge - men's singles \| start \| andi langenhan (ger) \| 21 february 2009 \| 3.541 row 12 : luge - men's singles \| track \| felix loch (ger) \| 21 february 2009 \| 46.808 row 13 : luge - women's singles \| start \| natalie geisenberger (ger \| 20 february 2009 \| 7.183 row 14 : luge - women's singles \| track \| natalie geisenberger (ger \| 20 february 2009 \| 48.992 row 15 : luge - men's doubles \| start \| tobias wendl & tobia \| 20 february 2009 \| 7.054 row 16 : luge - men's doubles \| track \| patric leitner & alexander \| 20 february 2009 \| 48.608 ] Execute this SQL based on the above table: select record order by time (s) desc limit 1	track
[ header: season \| average \| high \| low \| season tickets row 1 : 2001-02 serie a \| 17956 \| 27498 \| 14704 \| 12156 row 2 : 2002-03 serie a \| 16306 \| 25603 \| 12980 \| 11544 row 3 : 2003-04 serie a \| 15904 \| 23663 \| 11463 \| 10439 row 4 : 2004-05 serie a \| 14044 \| 23010 \| 10711 \| 9923 row 5 : 2005-06 serie a \| 14372 \| 23116 \| 11575 \| 10639 row 6 : 2006-07 serie a \| 14644 \| 20488 \| 11946 \| 11120 row 7 : 2007-08 serie a \| 15427 \| 25149 \| 11890 \| 11386 row 8 : 2008-09 serie b \| 10031 \| 12265 \| 9261 \| None row 9 : 2009-10 serie a \| 17061 \| 21323 \| 11870 \| 13691 row 10 : 2010-11 serie a \| 14524 \| 19615 \| 11975 \| 10578 row 11 : 2011-12 serie a \| 13646 \| 19481 \| 10800 \| 9620 row 12 : 2012-13 serie a \| 12740 \| 19073 \| 9627 \| 10546 ] Execute this SQL based on the above table: select low where low = 12980	12980
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 10 january 1996 \| edison international field, ana \| honduras \| 1-0 \| 3-1 \| 1996 concacaf gold cup row 2 : 2 \| 30 august 1996 \| commonwealth stadium, edmont \| panama \| 3-1 \| 3-1 \| 1998 fifa world cup qualification row 3 : 3 \| 12 october 1997 \| commonwealth stadium, edmont \| mexico \| 2-1 \| 2-2 \| 1998 fifa world cup qualification row 4 : 4 \| 8 october 1999 \| los angeles memorial coliseum \| el salvador \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 5 : 5 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 1-0 \| 2-1 \| 2000 concacaf gold cup qualification play off row 6 : 6 \| 10 october 1999 \| los angeles memorial coliseum \| haiti \| 2-0 \| 2-2 \| 2000 concacaf gold cup qualification play off row 7 : 7 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 1-1 \| 2-2 \| 2000 concacaf gold cup row 8 : 8 \| 13 february 2000 \| qualcomm stadium, san die \| costa rica \| 2-2 \| 2-2 \| 2000 concacaf gold cup row 9 : 9 \| 20 february 2000 \| qualcomm stadium, san die \| mexico \| 1-1 \| 2-1 \| 2000 concacaf gold cup row 10 : 10 \| 27 february 2000 \| los angeles memorial coliseum \| colombia \| 2-0 \| 2-0 \| 2000 concacaf gold cup row 11 : 11 \| 18 january 2004 \| bridgetown, barbados \| barbados \| 1-0 \| 1-0 \| friendly match ] Execute this SQL based on the above table: select count ( * ) where # > #	0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 1 may 2000 \| rasmee dhandu \| maldives \| 1-1 \| 1-1 \| 2000 mff golden jubile row 2 : 2 \| 25 august 2000 \| ho chi minh city, vietnam \| vietnam \| 2-1 \| 2-2 \| 2000 hcm cup row 3 : 3 \| 28 march 2001 \| colombo, sri lan \| cambodia \| 1-0 \| 1-0 \| friendly row 4 : 5 \| 30 may 2001 \| suphachalasai stadium, ban \| pakistan \| 1-0 \| 3-1 \| 2002 fifa world cup qualification (af row 5 : 6 \| 30 may 2001 \| supachalasai stadium \| pakistan \| 3-0 \| 3-1 \| 2002 fifa world cup qualification (af row 6 : 7 \| 4 april 2002 \| sugathadasa stadium, colo \| maldives \| 1-0 \| 1-0 \| friendly row 7 : 10 \| 3 december 2003 \| sugathadasa stadium, colo \| laos \| 2-0 \| 3-0 \| 2006 fifa world cup qualification (af row 8 : 12 \| 12 april 2006 \| ma aziz stadium, chittagong \| nepal \| 1-0 \| 1-1 \| 2006 afc challenge cup row 9 : 13 \| 24 march 2007 \| sugathadasa stadium, colo \| malaysia \| 1-4 \| 1-4 \| friendly row 10 : 14 \| 2 april 2008 \| chungshan stadium, tai \| guam \| 5-1 \| 5-1 \| 2008 afc challenge cup qualification row 11 : 15 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 1-0 \| 7-1 \| 2008 afc challenge cup qualification row 12 : 16 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 4-1 \| 7-1 \| 2008 afc challenge cup qualification row 13 : 17 \| 4 april 2008 \| chungshan stadium, tai \| pakistan \| 7-1 \| 7-1 \| 2008 afc challenge cup qualification row 14 : 19 \| 2 august 2008 \| gachibowli athletic stadium, \| myanmar \| 1-1 \| 1-3 \| 2008 afc challenge cup row 15 : 20 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 1-0 \| 5-1 \| 2010 afc challenge cup qualification row 16 : 21 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 3-0 \| 5-1 \| 2010 afc challenge cup qualification row 17 : 22 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 4-0 \| 5-1 \| 2010 afc challenge cup qualification row 18 : 23 \| 4 april 2009 \| sugathadasa stadium, colo \| brunei \| 5-0 \| 5-1 \| 2010 afc challenge cup qualification row 19 : 24 \| 6 april 2009 \| sugathadasa stadium, colo \| chinese taipei \| 1-0 \| 2-1 \| 2010 afc challenge cup qualification ] Execute this SQL based on the above table: select date where score = '1-0' and competition > ( select competition where score = '1-0' order by competition limit 1 ) order by competition limit 1	12 april 2006
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select ( select passes defended where team = 'buf' ) = ( select passes defended where team = 'buf' )	1
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select rank# where rank# in ( '#15' , '#15' ) order by attendance desc limit 1	#15
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1997 \| central american games \| san pedro sul \| 2nd \| 10,000 m \| None row 2 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 6th \| 5000 m \| 14:57.04 row 3 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 10,000 m \| 30:53.52 row 4 : 2001 \| central american games \| guatemala city, guate \| 1st \| 5000 m \| 14:28.91 a row 5 : 2001 \| central american games \| guatemala city, guate \| 2nd \| 10,000 m \| 30:43.86 a row 6 : 2002 \| central american championships \| san jose, costa ric \| 2nd \| 5000 m \| 14:30.14 row 7 : 2002 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 30:05.31 row 8 : 2003 \| central american championships \| guatemala city, guate \| 1st \| 5000 m \| 15:19.35 row 9 : 2003 \| central american championships \| guatemala city, guate \| 1st \| 10,000 m \| 30:16.25 row 10 : 2003 \| pan american games \| santo domingo, dominican \| None \| 5000 m \| dnf row 11 : 2003 \| pan american games \| santo domingo, dominican \| 7th \| 10,000 m \| 30:26.61 row 12 : 2004 \| olympic games \| athens, greece \| 64th \| marathon \| 2:27:13 row 13 : 2005 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 30:11.54 row 14 : 2006 \| ibero-american championships \| ponce, puerto rico \| 8th \| 5000 m \| 14:31.55 row 15 : 2006 \| central american and caribbean games \| cartagena, colombia \| 6th \| 5000 m \| 14:27.54 row 16 : 2006 \| central american and caribbean games \| cartagena, colombia \| 4th \| 10,000 m \| 30:09.31 row 17 : 2007 \| central american championships \| san jose, costa ric \| 1st \| 5000 m \| 14:42.08 row 18 : 2007 \| central american championships \| san jose, costa ric \| 1st \| 10,000 m \| 29:53.61 row 19 : 2007 \| nacac championships \| san salvador, el \| 1st \| 5000 m \| 14:33.31 row 20 : 2007 \| nacac championships \| san salvador, el \| 1st \| 10,000 m \| 29:42.11 row 21 : 2007 \| pan american games \| rio de janeiro, bra \| 2nd \| marathon \| 2:14:27 row 22 : 2008 \| olympic games \| beijing, pr china \| 35th \| marathon \| 2:20:15 row 23 : 2009 \| central american championships \| guatemala city, guate \| 1st \| 5000 m \| 14:55.44 row 24 : 2010 \| central american and caribbean games \| mayaguez, puerto ric \| 1st \| marathon \| 2:21:35 row 25 : 2011 \| pan american games \| guadalajara, me \| 5th \| marathon \| 2:20:27 sb row 26 : 2012 \| olympic games \| london, united kingdom \| 38th \| marathon \| 2:18:23 ] Execute this SQL based on the above table: select ( select year where venue = 'beijing, pr china' ) - 2004	4
[ header: year \| domestic passengers \| international passengers \| total passengers \| change row 1 : 2006 \| 764831 \| 83115 \| 847946 \| +4.6% row 2 : 2007 \| 764674 \| 75276 \| 839950 \| -0.9% row 3 : 2008 \| 709779 \| 92176 \| 801955 \| -4.5% row 4 : 2009 \| 605534 \| 82424 \| 687958 \| -14.3% row 5 : 2010 \| 595457 \| 105119 \| 700576 \| +1.7% row 6 : 2011 \| 850305 \| 123607 \| 973912 \| +39.1% row 7 : 2012 \| 899854 \| 178679 \| 1078533 \| +10.7% row 8 : 2013 \| 745178 \| 131902 \| 877080 \| -18.7% ] Execute this SQL based on the above table: select count ( change ) where change = '-0.9%'	1
[ header: draw \| artist \| song \| points \| place row 1 : 1 \| yehuda ta \| "na'ara" \| 43 \| 4th (tie) row 2 : 2 \| shlishiyat adama \| "la ve'li" \| 17 \| 10th (tie) row 3 : 3 \| miri aloni \| "kmo ha'emuna" \| 26 \| 8th row 4 : 4 \| moti giladi and \| "yavo yom" \| 66 \| 1st row 5 : 5 \| boaz sharabi \| "halevai" \| 1 \| 12th row 6 : 6 \| doron mazar \| "nagni li balala \| 56 \| 2nd row 7 : 7 \| rita \| "shvil ha'bricha" \| 43 \| 4th (tie) row 8 : 8 \| shula chen \| "gitara" \| 17 \| 10th (tie) row 9 : 9 \| arba lev adom \| "yesh" \| 24 \| 9th row 10 : 10 \| isolir band \| "kafe o te" \| 40 \| 6th row 11 : 11 \| tzvika pick \| "layla layla" \| 27 \| 7th row 12 : 12 \| chaim moshe \| "le'chaim" \| 46 \| 3rd ] Execute this SQL based on the above table: select place where points = 1	12th
[ header: year \| track \| number \| team \| car \| round result row 1 : 1996 \| pukekohe park raceway \| 1 \| holden racing team \| holden vr commodore \| 1st row 2 : 2001 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 3 : 2002 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vx commodore \| 1st row 4 : 2003 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 1st row 5 : 2004 \| pukekohe park raceway \| 51 \| k-mart racing team \| holden vy commodore \| 3rd row 6 : 2005 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 1st row 7 : 2006 \| pukekohe park raceway \| 51 \| paul weel racing \| holden vz commodore \| 15th row 8 : 2007 \| pukekohe park raceway \| 51 \| tasman motorsport \| holden ve commodore \| 11th row 9 : 2008 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 25th row 10 : 2009 \| hamilton street circuit \| 51 \| tasman motorsport \| holden ve commodore \| 22nd row 11 : 2010 \| hamilton street circuit \| 51 \| paul morris motorsport \| holden ve commodore \| 14th row 12 : 2011 \| hamilton street circuit \| 11 \| pepsi max crew \| holden ve commodore \| 24th row 13 : 2012 \| hamilton street circuit \| 51 \| pepsi max crew \| holden ve commodore \| 24th ] Execute this SQL based on the above table: select count ( * ) where car = 'holden vz commodore'	2
[ header: year \| champion \| score \| runner-up \| coach row 1 : 1954 \| boston college \| 4-1 \| harvard \| john "snooks" kelley row 2 : 1956 \| boston college \| 4-2 \| harvard \| john "snooks" kelley row 3 : 1957 \| boston college \| 5-4 (ot) \| boston university \| john "snooks" kelley row 4 : 1959 \| boston college \| 7-4 \| boston university \| john "snooks" kelley row 5 : 1961 \| boston college \| 4-2 \| harvard \| john "snooks" kelley row 6 : 1963 \| boston college \| 3-1 \| harvard \| john "snooks" kelley row 7 : 1964 \| boston college \| 6-5 \| boston university \| john "snooks" kelley row 8 : 1965 \| boston college \| 5-4 \| boston university \| john "snooks" kelley row 9 : 1976 \| boston college \| 6-3 \| boston university \| len ceglarski row 10 : 1983 \| boston college \| 8-2 \| northeastern \| len ceglarski row 11 : 1994 \| boston college \| 2-1 (ot) \| harvard \| steve cedorchuck row 12 : 2001 \| boston college \| 5-3 \| boston university \| jerry york row 13 : 2004 \| boston college \| 2-1 (ot) \| boston university \| jerry york row 14 : 2008 \| boston college \| 6-5 (ot) \| harvard \| jerry york row 15 : 2010 \| boston college \| 4-3 \| boston university \| jerry york row 16 : 2011 \| boston college \| 7-6 (ot) \| northeastern \| jerry york row 17 : 2012 \| boston college \| 3-2 (ot) \| boston university \| jerry york row 18 : 2013 \| boston college \| 6-3 \| northeastern \| jerry york row 19 : 2014 \| boston college \| 4-1 \| northeastern \| jerry york ] Execute this SQL based on the above table: select score order by year desc limit 1	4-1
[ header: season \| level \| division \| section \| position \| movements row 1 : 1985 \| tier 4 \| division 3 \| norra norrland \| 5th \| None row 2 : 1986 \| tier 4 \| division 3 \| norra norrland \| 4th \| promoted row 3 : 1987 \| tier 3 \| division 2 \| norra \| 5th \| None row 4 : 1988 \| tier 3 \| division 2 \| norra \| 1st \| promoted row 5 : 1989 \| tier 2 \| division 1 \| norra \| 3rd \| None row 6 : 1990 \| tier 2 \| division 1 \| norra \| 6th \| None row 7 : 1991 \| tier 2 \| division 1 \| norra \| 1st \| spring row 8 : None \| tier 2 \| division 1 \| kvalsvenskan \| 8th \| autumn row 9 : 1992 \| tier 2 \| division 1 \| norra \| 7th \| spring row 10 : None \| tier 2 \| division 1 \| norra \| 8th \| autumn - relegated row 11 : 1993 \| tier 3 \| division 2 \| norrland \| 1st \| promoted row 12 : 1994 \| tier 2 \| division 1 \| norra \| 13th \| relegated row 13 : 1995 \| tier 3 \| division 2 \| norrland \| 9th \| None row 14 : 1996 \| tier 3 \| division 2 \| norrland \| 8th \| None row 15 : 1997 \| tier 3 \| division 2 \| norrland \| 6th \| None row 16 : 1998 \| tier 3 \| division 2 \| norrland \| 7th \| None row 17 : 1999 \| tier 3 \| division 2 \| norrland \| 3rd \| None row 18 : 2000 \| tier 3 \| division 2 \| norrland \| 8th \| None row 19 : 2001 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 20 : 2002 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 21 : 2003 \| tier 3 \| division 2 \| norrland \| 10th \| relegation playoffs row 22 : 2004 \| tier 3 \| division 2 \| norrland \| 7th \| None row 23 : 2005 \| tier 3 \| division 2 \| norrland \| 4th \| promoted row 24 : 2006 \| tier 3 \| division 1 \| norra \| 14th \| relegated row 25 : 2007 \| tier 4 \| division 2 \| norrland \| 10th \| relegation playoffs row 26 : 2008 \| tier 4 \| division 2 \| norrland \| 12th \| relegated row 27 : 2009 \| tier 5 \| division 3 \| norra norrland \| 8th \| None row 28 : 2010 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None row 29 : 2011 \| tier 5 \| division 3 \| norra norrland \| 2nd \| promotion playoffs row 30 : 2012 \| tier 5 \| division 3 \| norra norrland \| 3rd \| None ] Execute this SQL based on the above table: select position where season < ( select season where position = '8th' and level = 'tier 3' ) order by season desc limit 1	9th
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid row 1 : 1 \| 12 \| clay regazzoni \| ferrari \| 60 \| 1:01:25.34 \| 3 row 2 : 2 \| 4 \| patrick depailler \| tyrrell-ford \| 60 \| + 0:08.35 \| 5 row 3 : 3 \| 2 \| jochen mass \| mclaren-ford \| 60 \| + 0:15.44 \| 4 row 4 : 4 \| 5 \| ronnie peterson \| lotus-ford \| 60 \| + 0:40.14 \| 10 row 5 : 5 \| 18 \| john watson \| surtees-ford \| 60 \| + 0:45.55 \| 6 row 6 : 6 \| 8 \| carlos pace \| brabham-ford \| 60 \| + 0:45.90 \| 7 row 7 : 7 \| 16 \| tom pryce \| shadow-ford \| 60 \| + 0:46.66 \| 8 row 8 : 8 \| 24 \| james hunt \| hesketh-ford \| 59 \| + 1 lap \| 11 row 9 : 9 \| 31 \| chris amon \| ensign-ford \| 59 \| + 1 lap \| 9 row 10 : 10 \| 21 \| jacques laffite \| williams-ford \| 59 \| + 1 lap \| 13 row 11 : 11 \| 9 \| vittorio brambilla \| march-ford \| 58 \| + 2 laps \| 12 row 12 : 12 \| 22 \| rolf stommelen \| hill-ford \| 58 \| + 2 laps \| 14 row 13 : 13 \| 35 \| tony trimmer \| maki-ford \| 54 \| + 6 laps \| 16 row 14 : nc \| 20 \| jo vonlanthen \| williams-ford \| 51 \| + 9 laps \| 15 row 15 : ret \| 17 \| jean-pierre jarier \| shadow-ford \| 33 \| transmission \| 1 row 16 : ret \| 1 \| emerson fittipaldi \| mclaren-ford \| 6 \| clutch \| 2 ] Execute this SQL based on the above table: select constructor where constructor != 'hesketh-ford' and laps = ( select laps where constructor = 'hesketh-ford' )	ensign-ford, williams-ford
[ header: township \| fips \| population \| population density /km2 (/sq mi) \| land area km2 (sq mi) \| water area km2 (sq mi) \| water % \| geographic coordinates row 1 : alta \| 1500 \| 221 \| 2 (6) \| 93 (36) \| 0 (0) \| 0.48% \| 38°7′27′′n 97° row 2 : burrton \| 9600 \| 1143 \| 12 (32) \| 93 (36) \| 0 (0) \| 0.17% \| 38°1′32′′n 97° row 3 : darlington \| 17025 \| 601 \| 7 (17) \| 92 (35) \| 0 (0) \| 0.10% \| 37°57′5′′n 97° row 4 : emma \| 21025 \| 4181 \| 45 (116) \| 93 (36) \| 0 (0) \| 0% \| 38°8′10′′n 97° row 5 : garden \| 25300 \| 294 \| 3 (8) \| 93 (36) \| 0 (0) \| 0% \| 38°7′44′′n 97° row 6 : halstead \| 29625 \| 353 \| 4 (10) \| 92 (35) \| 0 (0) \| 0.07% \| 38°2′9′′n 97° row 7 : highland \| 31875 \| 415 \| 5 (12) \| 92 (35) \| 0 (0) \| 0.19% \| 38°7′38′′n 97° row 8 : lake \| 37825 \| 173 \| 2 (5) \| 92 (36) \| 1 (0) \| 1.05% \| 37°57′46′′n 97° row 9 : lakin \| 38150 \| 357 \| 4 (10) \| 92 (35) \| 0 (0) \| 0.06% \| 37°57′18′′n 97° row 10 : macon \| 43925 \| 1056 \| 11 (30) \| 92 (36) \| 0 (0) \| 0% \| 38°2′8′′n 97° row 11 : newton \| 50500 \| 1950 \| 28 (73) \| 69 (27) \| 0 (0) \| 0.07% \| 38°3′27′′n 97° row 12 : pleasant \| 56250 \| 439 \| 5 (12) \| 93 (36) \| 1 (0) \| 0.81% \| 38°2′27′′n 97° row 13 : richland \| 59350 \| 360 \| 4 (10) \| 94 (36) \| 0 (0) \| 0.20% \| 37°57′39′′n 97° row 14 : sedgwick \| 63825 \| 1711 \| 18 (48) \| 93 (36) \| 0 (0) \| 0% \| 37°56′24′′n 97° row 15 : walton \| 75225 \| 552 \| 6 (15) \| 95 (37) \| 0 (0) \| 0.06% \| 38°7′26′′n 97° ] Execute this SQL based on the above table: select ( select count ( township ) ) > 1877	0