Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select time where men's winner = 'willy cheruiyot (ken)'	2, 2, 2
[ header: district \| representative \| party \| residence \| counties represented row 1 : 1 \| ogden driskill \| republican \| devils tower \| converse, crook, goshen row 2 : 2 \| jim anderson \| republican \| glenrock \| converse, platte row 3 : 3 \| curt meier \| republican \| lagrange \| goshen, platte row 4 : 4 \| tony ross \| republican \| cheyenne \| laramie row 5 : 5 \| fred emerich \| republican \| cheyenne \| laramie row 6 : 6 \| wayne johnson \| republican \| cheyenne \| laramie row 7 : 7 \| leslie nutting \| republican \| cheyenne \| laramie row 8 : 8 \| floyd esquibel \| democratic \| cheyenne \| laramie row 9 : 9 \| chris rothfuss \| democratic \| laramie \| albany row 10 : 10 \| phil nicholas \| republican \| laramie \| albany row 11 : 11 \| larry s. hicks \| republican \| baggs \| albany, carbon row 12 : 12 \| bernadine craft \| democratic \| rock springs \| fremont, sweetwater row 13 : 13 \| john hastert \| democratic \| green river \| sweetwater row 14 : 14 \| stan cooper \| republican \| kemmerer \| lincoln, sublette, sweet row 15 : 15 \| paul barnard \| republican \| evanston \| uinta row 16 : 16 \| dan dockstader \| republican \| afton \| lincoln, sublette, row 17 : 17 \| leland christensen \| republican \| alta \| fremont, teton row 18 : 18 \| hank coe \| republican \| cody \| park row 19 : 19 \| r. ray peterson \| republican \| cowley \| big horn, park row 20 : 20 \| gerald geis \| republican \| worland \| big horn, hot springs, park, row 21 : 21 \| bruce burns \| republican \| sheridan \| sheridan row 22 : 22 \| john schiffer \| republican \| kaycee \| sheridan, johnson row 23 : 23 \| john hines \| republican \| gillette \| campbell row 24 : 24 \| michael von flatern \| republican \| gillette \| campbell row 25 : 25 \| cale case \| republican \| lander \| fremont row 26 : 26 \| eli bebout \| republican \| riverton \| fremont row 27 : 27 \| bill landen \| republican \| casper \| natrona row 28 : 28 \| james lee anderson \| republican \| casper \| natrona row 29 : 29 \| drew perkins \| republican \| casper \| natrona row 30 : 30 \| charles scott \| republican \| casper \| natrona ] Execute this SQL based on the above table: select representative where district = 30	charles scott
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select top ten places group by top ten places order by count ( date ) desc limit 1	the wolf of wall street (#3)
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select item order by views desc limit 1	a printer which was stated to be faulty and 'possessed' was listed by nickftward to be on sale. he used quite a lot of humour and sarcasm to describe it, which made the auction more fun. his description: "words cannot express how much i hate this printer. it never works when i need it to - it's like it knows when i have to urgently print something. it randomly decides if it wants to work wirelessly or not. and scanning wirelessly? forget about it! when you first turn it on it will play an endless symphony of sounds that are simply there to fool you into thinking that it might actually do what it's designed to do. don't be fooled. this thing is evil incarnate." the winner of the auction was kornholio, with a winning bid of $280 ($1 reserve price)
[ header: \| country \| builder \| location \| ship \| class / type row 1 : 6 march \| united states \| john roach and son \| chester, pennsylvania \| city of rio de janeiro \| passenger ship row 2 : 13 may \| germany \| kaiserliche werft wil \| wilhelmshaven \| bayern \| sachsen-class ironclad row 3 : 13 june \| united kingdom \| royal dockyard \| devonport, devon \| pegasus \| doterel-class sloop row 4 : 31 august \| united kingdom \| royal dockyard \| sheerness \| gannet \| doterel-class sloop row 5 : 23 october \| norway \| karljohansverns ver \| horten \| nor \| vale-class gunboat row 6 : 1 november \| norway \| karljohansverns ver \| horten \| brage \| vale-class gunboat row 7 : 9 november \| germany \| a. g. vulcan \| stettin \| wurttemberg \| sachsen-class ironclad ] Execute this SQL based on the above table: select builder where id = ( select id where builder = 'karljohansverns verft' ) - 1	royal dockyard
[ header: outcome \| year \| championship \| surface \| opponent \| score row 1 : runner-up \| 2002 \| canada (toronto) (1) \| hard \| guillermo canas \| 4-6, 5-7 row 2 : winner \| 2003 \| montreal \| hard \| david nalbandian \| 6-1, 6-3 row 3 : winner \| 2003 \| cincinnati \| hard \| mardy fish \| 4-6, 7-6(7-3), 7 row 4 : winner \| 2004 \| miami \| hard \| guillermo coria \| 6-7(2-7), 6-3, 6 row 5 : runner-up \| 2004 \| toronto (2) \| hard \| roger federer \| 5-7, 3-6 row 6 : runner-up \| 2005 \| cincinnati \| hard \| roger federer \| 3-6, 5-7 row 7 : winner \| 2006 \| cincinnati (2) \| hard \| juan carlos ferrero \| 6-3, 6-4 row 8 : runner-up \| 2010 \| indian wells \| hard \| ivan ljubicic \| 6-7(3-7), 6-7(5-7 row 9 : winner \| 2010 \| miami (2) \| hard \| tomas berdych \| 7-5, 6-4 ] Execute this SQL based on the above table: select score order by id desc limit 1	7-5, 6-4
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : peter fallico \| b. ? \| canadian \| interior designer, television personality \| g row 2 : sam falson \| b. 1982 \| american \| singer \| g row 3 : rotimi fani-kayode \| 1955-1989 \| nigerian \| photographer \| g row 4 : gareth farr \| b. 1968 \| new zealander \| contemporary classical composer, drag performer \| g row 5 : james fenton \| b. 1949 \| english \| writer, academic \| g row 6 : lynne fernie \| b. 1946 \| canadian \| filmmaker \| l row 7 : mark ferrandino \| b. 1977 \| american \| politician \| g row 8 : frank ferri \| b. 1954 \| american \| politician \| g row 9 : patricia field \| b. 1941 \| american \| costume designer, stylist \| l row 10 : harvey fierstein \| b. 1952 \| american \| actor \| g row 11 : william p. fitzpatrick \| b. ? \| american \| politician \| g row 12 : rosanna flamer-caldera \| b. ? \| sri lankan \| activist \| l row 13 : gustave flaubert \| 1821-1880 \| french \| author \| b row 14 : kate fleming \| 1965-2006 \| american \| audio book narrator and producer \| l row 15 : elizabeth gurley fly \| 1890-1964 \| american \| activist \| b row 16 : waawaate fobister \| b. 1984 \| canadian \| writer, actor \| g row 17 : mark foley \| b. 1954 \| american \| u.s. representative (r-f \| g row 18 : e. m. forster \| 1879-1970 \| british \| writer \| g row 19 : jackie forster \| 1926-1998 \| english \| actor, activist \| l row 20 : wolfgang fortner \| 1907-1987 \| german \| classical composer and conductor \| g row 21 : pim fortuyn \| 1948-2002 \| dutch \| politician, academic and sociologist \| g row 22 : per-kristian foss \| b. 1950 \| norwegian \| politician, first openly gay minister in norway \| g row 23 : michel foucault \| 1926-1984 \| french \| philosopher, historian \| b row 24 : virgil fox \| 1912-1980 \| american \| classical musician \| g row 25 : david france \| b. ? \| american \| journalist, filmmaker \| g row 26 : kay francis \| 1905-1968 \| american \| actor \| b row 27 : margo frasier \| b. ? \| american \| first openly lesbian sheriff elected to office \| l row 28 : marcia freedman \| b. 1938 \| israeli-american \| activist \| l row 29 : elsa von freytag-lor \| 1874-1927 \| german-american \| artist, poet \| b row 30 : benedict friedlander \| 1866-1908 \| german \| early gay rights activist, author \| g row 31 : adrian fulford \| b. 1953 \| british \| judge \| g row 32 : bryan fuller \| b. 1969 \| american \| tv writer \| g row 33 : wes funk \| b. ? \| canadian \| writer \| g row 34 : sia furler \| b. 1975 \| australian \| pop singer \| b ] Execute this SQL based on the above table: select count ( * ) where notable as = 'philosopher, historian' and nationality = 'american'	0
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select date where world rank = '3rd'	22 june
[ header: rank \| name \| nationality \| time row 1 : None \| sule utura \| ethiopia \| 15:38.70 row 2 : None \| emebet anteneh men \| ethiopia \| 15:40.13 row 3 : None \| pauline korikwiang \| kenya \| 15:40.93 row 4 : 4 \| hyvin jepkemoi \| kenya \| 15:42.64 row 5 : 5 \| esther ndiema \| kenya \| 15:43.48 row 6 : 6 \| goytetom gebresil \| ethiopia \| 15:49.90 row 7 : 7 \| angeline myiramsabimana \| rwanda \| 16:24.04 row 8 : 8 \| mekdes weldu \| eritrea \| 16:42.69 row 9 : 9 \| thandiwe nyathy \| zimbabwe \| 17:13.00 ] Execute this SQL based on the above table: select count ( name )	9
[ 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 order by 6 mar desc limit 1	vavuniya
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select location where location in ( 'mount avital' , 'ein zivan' ) order by kilometers limit 1	mount avital
[ header: from \| to \| name \| party \| position row 1 : 1870 \| 1897 \| eugene bernain \| None \| None row 2 : 1897 \| None \| albert le barillier \| None \| None row 3 : 1935 \| 1937 \| daubin \| None \| doctor row 4 : 1937 \| 1941 \| francois dommain \| radical \| None row 5 : 1971 \| 1993 \| victor mendiboure \| udf \| None row 6 : 1993 \| 1999 \| michel bonnet \| udf \| None row 7 : 1999 \| 2001 \| alain lamassoure \| udf \| vice president of the udf advisor to row 8 : 2001 \| 2008 \| robert villenave \| udf ps \| vice-president of cabab vice-p ] Execute this SQL based on the above table: select abs ( ( select to where name = 'michel bonnet' ) - ( select to where name = 'michel bonnet' ) )	0
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network group by network order by count ( sideline reporter(s) ) desc limit 1	cbs
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select destination where train name = 'demu' order by no. asc limit 1213	bhatkal
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select party group by party order by count ( * ) asc limit 1	alliance
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select position where position = 'c'	c, c, c, c
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select date where score in the final = '6-2, 6-3' order by no. desc limit 1	20 july 1981
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select count ( date ) where region = 'the netherlands'	2
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select red vs. blue where red vs. blue = 'red team' order by weight limit 1074	red team, red team, red team, red team
[ 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 drawn limit 1	100%
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °f (°c) \| 76 (24) \| 80 (27) \| 89 (32) \| 98 (37) \| 111 (44) \| 111 (44) \| 114 (46) \| 111 (44) \| 112 (44) \| 104 (40) \| 87 (31) \| 78 (26) \| 114 (46) row 2 : average high °f (°c) \| 55.4 (13) \| 61.5 (16.4) \| 65.9 (18.8) \| 71.1 (21.7) \| 78.0 (25.6) \| 84.4 (29.1) \| 89.0 (31.7) \| 88.8 (31.6) \| 86.6 (30.3) \| 78.3 (25.7) \| 65.4 (18.6) \| 56.0 (13.3) \| 73.4 (23) row 3 : average low °f (°c) \| 37.6 (3.1) \| 41.1 (5.1) \| 43.3 (6.3) \| 45.8 (7.7) \| 50.3 (10.2) \| 54.0 (12.2) \| 56.0 (13.3) \| 56.0 (13.3) \| 54.5 (12.5) \| 49.8 (9.9) \| 42.7 (5.9) \| 37.9 (3.3) \| 47.4 (8.6) row 4 : record low °f (°c) \| 18 (-8) \| 24 (-4) \| 20 (-7) \| 29 (-2) \| 35 (2) \| 31 (-1) \| 40 (4) \| 40 (4) \| 39 (4) \| 32 (0) \| 21 (-6) \| 15 (-9) \| 15 (-9) row 5 : precipitation inches (mm) \| 4.77 (121.2) \| 4.04 (102.6) \| 3.09 (78.5) \| 1.39 (35.3) \| 0.55 (14) \| 0.17 (4.3) \| 0.02 (0.5) \| 0.06 (1.5) \| 0.24 (6.1) \| 1.30 (33) \| 2.75 (69.9) \| 4.30 (109.2) \| 22.68 (576.1) row 6 : avg. precipitation days (≥ \| 11 \| 10 \| 9 \| 6 \| 3 \| 1 \| 0 \| 0 \| 1 \| 3 \| 7 \| 10 \| 60 ] Execute this SQL based on the above table: select count ( month )	6
[ 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 ( select 16 feb where div sec division = 'vavuniya' ) + ( select 16 feb where div sec division = 'vavuniya' )	5658.0
[ header: year \| competition \| venue \| position \| notes row 1 : 1991 \| european junior championships \| thessaloniki, gree \| 10th \| 4.90 m row 2 : 1992 \| world junior championships \| seoul, south korea \| 1st \| 5.45 m row 3 : 1996 \| european indoor championships \| stockholm, sweden \| 14th (q) \| 5.45 m row 4 : 1996 \| olympic games \| atlanta, united states \| 23rd (q) \| 5.40 m row 5 : 1997 \| world championships \| athens, greece \| 27th (q) \| 5.30 m row 6 : 1998 \| european championships \| budapest, hungary \| 10th \| 5.40 m row 7 : 2000 \| european indoor championships \| ghent, belgium \| 13th (q) \| 5.20 m row 8 : 2001 \| universiade \| beijing, pr china \| 3rd \| 5.60 m row 9 : 2005 \| european indoor championships \| madrid, spain \| 15th (q) \| 5.40 m row 10 : 2006 \| world indoor championships \| moscow, russia \| 14th (q) \| 5.45 m row 11 : 2006 \| european championships \| gothenburg, sweden \| 8th \| 5.50 m ] Execute this SQL based on the above table: select count ( competition ) where competition != 'world championships' and year = ( select year where competition = 'world championships' )	0
[ header: year \| competition \| venue \| position \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| 1.75 m row 2 : 2004 \| world junior championships \| grosseto, italy \| 9th \| 1.80 m row 3 : 2005 \| european junior championships \| kaunas, lithuania \| 4th \| 1.82 m row 4 : 2009 \| european indoor championships \| turin, italy \| 5th \| 1.92 m row 5 : 2010 \| world indoor championships \| doha, qatar \| 10th (q) \| 1.89 m row 6 : 2010 \| european championships \| barcelona, spain \| 13th (q) \| 1.90 m row 7 : 2011 \| universiade \| shenzhen, china \| 4th \| 1.86 m row 8 : 2012 \| world indoor championships \| istanbul, turkey \| 9th (q) \| 1.92 m row 9 : 2012 \| european championships \| helsinki, finland \| 3rd \| 1.92 m row 10 : 2012 \| olympic games \| london, united kingdom \| 10th \| 1.93 m row 11 : 2013 \| world championships \| moscow, russia \| 9th \| 1.93 m row 12 : 2014 \| world indoor championships \| sopot, poland \| 13th (q) \| 1.92 m ] Execute this SQL based on the above table: select ( select year where position = '9th' ) > 1359	1
[ header: code \| district \| headquarters \| population (as of 2011) \| area (km2) \| density (/km2) row 1 : al \| almora \| almora \| 621972 \| 3083 \| 202 row 2 : ba \| bageshwar \| bageshwar \| 259840 \| 2302 \| 113 row 3 : cl \| chamoli \| chamoli gopeshwar \| 391114 \| 7613 \| 51 row 4 : cp \| champawat \| champawat \| 259315 \| 1781 \| 146 row 5 : dd \| dehradun \| dehradun \| 1695860 \| 3088 \| 550 row 6 : ha \| haridwar \| haridwar \| 1927029 \| 2360 \| 817 row 7 : na \| nainital \| nainital \| 955128 \| 3860 \| 247 row 8 : pg \| pauri garhwal \| pauri \| 686572 \| 5399 \| 127 row 9 : pi \| pithoragarh \| pithoragarh \| 485993 \| 7100 \| 68 row 10 : rp \| rudra prayag \| rudraprayag \| 236857 \| 1890 \| 125 row 11 : tg \| tehri garhwal \| new tehri \| 616409 \| 4080 \| 151 row 12 : us \| udham singh nagar \| rudrapur \| 1648367 \| 2908 \| 567 row 13 : ut \| uttarkashi \| uttarkashi \| 329686 \| 8016 \| 41 ] Execute this SQL based on the above table: select count ( density (/km2) ) where area (km2) > 567 and code = 'ut'	1
[ header: date from \| date to \| pos. \| name \| from row 1 : 3 august 2012 \| 31 january 2013 \| fw \| benik afobe \| arsenal row 2 : 31 august 2012 \| 30 june 2013 \| mf \| jay spearing \| liverpool row 3 : 21 september 2012 \| 22 december 2012 \| df \| stephen warnock \| aston villa row 4 : 8 november 2012 \| 5 january 2013 \| mf \| jacob butterfield \| norwich city row 5 : 25 january 2013 \| 27 april 2013 \| df \| craig dawson \| west brom row 6 : 25 january 2013 \| january 2014 \| mf \| jan gregus \| banik ostrava row 7 : 31 january 2013 \| 3 march 2013 \| mf \| steve de ridder \| southampton row 8 : 28 march 2013 \| 30 june 2013 \| fw \| robert hall \| west ham row 9 : 28 march 2013 \| 4 may 2013 \| df \| danny butterfield \| southampton ] Execute this SQL based on the above table: select count ( * ) where name = 'craig dawson'	1
[ header: alumni chapters and clubs \| location \| founding date \| years active \| province row 1 : zeta alpha \| detroit, mi \| 1925 \| None \| beta row 2 : zeta beta \| columbus, oh \| december 14, 1926 \| None \| alpha north row 3 : zeta gamma \| cincinnati, oh \| december 14, 1926 \| None \| alpha south row 4 : zeta epsilon \| chicago, il \| may 21, 1928 \| None \| None row 5 : zeta zeta \| denver, co \| november 23, 1940 \| None \| gamma row 6 : zeta eta \| bloomington-normal, il \| december 13, 1941 \| None \| delta row 7 : zeta lambda \| baton rouge, la \| 1946 \| None \| None row 8 : zeta nu \| ann arbor, mi \| december 1948 \| None \| None row 9 : zeta xi \| oakland county, mi \| july 7, 1953 \| None \| None row 10 : zeta omicron \| akron-kent, o \| may 27, 1956 \| 1956-present \| alpha north row 11 : zeta rho \| kearney, ne \| march 7, 1959 \| None \| None row 12 : zeta tau \| st. petersburg, f \| december 10, 1960 \| None \| None row 13 : zeta upsilon \| washington, d.c \| december 18, 1961 \| None \| None row 14 : zeta chi \| dayton, oh \| february 14, 1967 \| 1967-present \| alpha south row 15 : zeta psi \| philadelphia, pa \| june 4, 1967 \| None \| None row 16 : zeta omega \| spartanburg-greenville, \| april 12, 1969 \| None \| None row 17 : eta alpha \| pueblo, co \| may 25, 1969 \| None \| None row 18 : eta beta \| brownwood, tx \| november 14, 1969 \| None \| None row 19 : eta gamma \| ft. collins, co \| march 7, 1970 \| None \| None row 20 : eta epsilon \| atlanta, ga \| february 23, 1971 \| None \| None row 21 : eta zeta \| buffalo, ny \| may 2, 1971 \| None \| None row 22 : eta theta \| dallas, tx \| november 9, 1975 \| None \| None row 23 : eta iota \| huntsville, al \| september 24, 1978 \| None \| None row 24 : eta kappa \| phoenix, az \| january 26, 1980 \| None \| None row 25 : eta lambda \| lithonia, ga \| may 18, 2003 \| 2004-2011 \| iota row 26 : eta mu \| atlanta, ga \| july 18, 2004 \| 2004-2011 \| iota row 27 : champaign-urbana alumni club \| chambaign-urbana, il \| None \| None \| delta row 28 : lincoln alumni club \| lincoln, ne \| None \| None \| theta row 29 : kearney alumni club \| kearney, ne \| None \| None \| theta row 30 : atlanta alumni club \| atlanta, ga \| None \| None \| iota row 31 : middle tennessee alumni club \| murfreesboro, tn \| 2013 \| 2013-present \| zeta west ] Execute this SQL based on the above table: select count ( alumni chapters and clubs ) where alumni chapters and clubs != 'zeta epsilon' and alumni chapters and clubs = 2	0
[ header: member \| party \| electorate \| state \| first elected row 1 : charles adermann \| country \| fisher \| qld \| 1943 row 2 : hon howard beale \| liberal \| parramatta \| nsw \| 1946 row 3 : doug berry \| liberal \| griffith \| qld \| 1949 row 4 : francis bland \| liberal \| warringah \| nsw \| 1951 row 5 : wilfred brimblecomb \| country \| maranoa \| qld \| 1951 row 6 : geoffrey brown \| liberal \| mcmillan \| vic \| 1949 row 7 : hon cyril chambers \| alp \| adelaide \| sa \| 1943 row 8 : joe clark \| alp \| darling \| nsw \| 1934 row 9 : fred daly \| alp \| grayndler \| nsw \| 1943 row 10 : billy davies \| alp \| cunningham \| nsw \| 1949 row 11 : jim eggins \| country \| lyne \| nsw \| 1949 row 12 : bill graham \| liberal \| st george \| nsw \| 1949 row 13 : bill grayden \| liberal \| swan \| wa \| 1949 row 14 : jo gullett \| liberal \| henty \| vic \| 1946 row 15 : jim harrison \| alp \| blaxland \| nsw \| 1949 row 16 : john howse \| liberal \| calare \| nsw \| 1946 row 17 : hon herbert johnson \| alp \| kalgoorlie \| wa \| 1940 row 18 : hugh leslie \| liberal \| moore \| wa \| 1949 row 19 : tony luchetti \| alp \| macquarie \| nsw \| 1951 row 20 : aubrey luck \| liberal \| darwin \| tas \| 1951 row 21 : philip lucock \| country \| lyne \| nsw \| 1953 row 22 : rt hon john mce \| country \| murray \| vic \| 1934 row 23 : john mcleay \| liberal \| boothby \| sa \| 1949 row 24 : hon william mcma \| liberal \| lowe \| nsw \| 1949 row 25 : william o'connor \| alp \| martin \| nsw \| 1946 row 26 : hubert opperman \| liberal \| corio \| vic \| 1949 row 27 : rt hon sir earle \| country \| cowper \| nsw \| 1919 row 28 : rupert ryan \| liberal \| flinders \| vic \| 1940 row 29 : winton turnbull \| country \| mallee \| vic \| 1946 row 30 : thomas white \| liberal \| balaclava \| vic \| 1929 ] Execute this SQL based on the above table: select state group by state order by count ( * ) desc limit 1	nsw
[ header: # \| date \| opponent \| score \| result \| competition row 1 : 1 \| 1988 \| indonesia \| 4-0 \| won \| 1988 afc u-17 championship group row 2 : 2 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 3 : 3 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 4 : 4 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 5 : 5 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 6 : 6 \| 1988 \| iraq \| 2-1 \| won \| 1988 afc u-17 championship semifinal row 7 : 7 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 8 : 8 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 9 : 9 \| june 12, 1989 \| guinea \| 2-2 \| draw \| 1989 fifa u-16 world championship group row 10 : 10 \| june 12, 1989 \| colombia \| 1-0 \| won \| 1989 fifa u-16 world championship group row 11 : 11 \| june 12, 1989 \| bahrain \| 1-0 \| won \| 1989 fifa u-16 world championship semifinal row 12 : 12 \| february 22, 1989 \| portugal \| 3-0 \| won \| 1989 fifa world youth championship group stages row 13 : 13 \| 1989 \| kuwait \| 1-0 \| won \| 1989 palestine cup of nations for youth group row 14 : 14 \| 1989 \| bahrain \| 1-1(4-3) \| lost \| 1989 palestine cup of nations for youth third ] Execute this SQL based on the above table: select date where result = 'won' order by # desc limit 1	1989
[ header: date \| opponent \| venue \| result row 1 : 28 aug \| burnley \| a \| 3 - 4 row 2 : 30 aug \| leeds united \| a \| 0 - 0 row 3 : 4 sep \| west bromwich albion \| h \| 1 - 1 row 4 : 6 sep \| leeds united \| h \| 3 - 1 row 5 : 11 sep \| aston villa \| h \| 2 - 3 row 6 : 18 sep \| bolton wanderers \| a \| 0 - 2 row 7 : 20 sep \| newcastle united \| h \| 1 - 1 row 8 : 25 sep \| manchester united \| h \| 0 - 2 row 9 : 2 oct \| derby county \| a \| 3 - 6 row 10 : 9 oct \| sheffield united \| h \| 3 - 0 row 11 : 16 oct \| huddersfield town \| a \| 0 - 0 row 12 : 23 oct \| sunderland \| h \| 3 - 0 row 13 : 30 oct \| bury \| a \| 3 - 2 row 14 : 6 nov \| birmingham city \| h \| 1 - 0 row 15 : 13 nov \| tottenham hotspur \| a \| 1 - 4 row 16 : 20 nov \| west ham united \| h \| 1 - 2 row 17 : 29 nov \| sheffield wednesday \| a \| 0 - 3 row 18 : 4 dec \| leicester city \| h \| 0 - 1 row 19 : 11 dec \| everton \| a \| 1 - 0 row 20 : 18 dec \| blackburn rovers \| h \| 0 - 1 row 21 : 25 dec \| newcastle united \| a \| 0 - 5 row 22 : 27 dec \| arsenal \| h \| 2 - 0 row 23 : 1 jan \| arsenal \| a \| 2 - 3 row 24 : 15 jan \| burnley \| h \| 0 - 0 row 25 : 31 jan \| aston villa \| a \| 0 - 0 row 26 : 5 feb \| bolton wanderers \| h \| 1 - 0 row 27 : 12 feb \| manchester united \| a \| 1 - 1 row 28 : 21 feb \| west bromwich albion \| a \| 2 - 1 row 29 : 26 feb \| sheffield united \| a \| 1 - 3 row 30 : 12 mar \| sunderland \| a \| 2 - 2 row 31 : 16 mar \| derby county \| h \| 2 - 0 row 32 : 19 mar \| bury \| h \| 2 - 1 row 33 : 21 mar \| huddersfield town \| h \| 2 - 0 row 34 : 2 apr \| tottenham hotspur \| h \| 1 - 2 row 35 : 7 apr \| leicester city \| a \| 1 - 3 row 36 : 9 apr \| west ham united \| a \| 2 - 2 row 37 : 15 apr \| liverpool \| a \| 0 - 5 row 38 : 16 apr \| sheffield wednesday \| h \| 3 - 2 row 39 : 18 apr \| liverpool \| h \| 2 - 0 row 40 : 27 apr \| birmingham city \| a \| 2 - 1 row 41 : 30 apr \| everton \| h \| 1 - 0 row 42 : 7 may \| blackburn rovers \| a \| 0 - 1 ] Execute this SQL based on the above table: select count ( result ) where result is null	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 pos where id = ( select id where pos = 'ret' ) - 1	13
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select to par order by # limit 1	14.0
[ header: name \| nationality \| matches played \| goals scored \| notes row 1 : adrian caceres \| australia \| 42 \| 6 \| None row 2 : andrew nabbout \| australia \| 21 \| 4 \| None row 3 : andrew vlahos \| australia \| 18 \| 0 \| None row 4 : antun kovacic \| australia \| 2 \| 0 \| None row 5 : archie thompson \| australia \| 160 \| 69 \| melbourne's first ever signing first dual row 6 : billy celeski \| australia \| 91 \| 2 \| None row 7 : carl recchia \| australia \| 12 \| 0 \| None row 8 : carlos hernandez \| costa rica \| 121 \| 36 \| first costa rican to play for row 9 : christopher cristaldo \| australia \| 3 \| 1 \| None row 10 : diogo ferreira \| australia \| 52 \| 2 \| None row 11 : dylan murnane \| australia \| 2 \| 0 \| None row 12 : eugene galekovic \| australia \| 15 \| 0 \| None row 13 : evan berger \| australia \| 43 \| 0 \| None row 14 : fred carreiro \| brazil \| 20 \| 4 \| first brazilian to play for melbourne row 15 : geoff kellaway \| wales \| 9 \| 0 \| first welsh to play for mel row 16 : geoffrey claeys \| belgium \| 16 \| 0 \| first belgian to play for melbourne row 17 : isaka cernak \| australia \| 21 \| 2 \| None row 18 : james jeggo \| australia \| 19 \| 1 \| None row 19 : jason geria \| australia \| 4 \| 0 \| None row 20 : jonathan bru \| mauritius \| 19 \| 0 \| first mauritian to play for melbourne row 21 : joe keenan \| england \| 12 \| 0 \| None row 22 : kaz patafta \| australia \| 14 \| 1 \| None row 23 : kosta barbarouses \| new zealand \| 0 \| 0 \| None row 24 : lawrence thomas \| australia \| 4 \| 0 \| None row 25 : leandro love \| brazil \| 15 \| 0 \| None row 26 : luke o'dea \| australia \| 2 \| 0 \| None row 27 : marcos flores \| argentina \| 24 \| 4 \| first argentine to play for melbourne row 28 : mark byrnes \| australia \| 19 \| 1 \| None row 29 : mark milligan \| australia \| 32 \| 10 \| club captain 2013- row 30 : marvin angulo \| costa rica \| 36 \| 0 \| None row 31 : matthew spiranovic \| australia \| 1 \| 0 \| None row 32 : michael ferrante \| australia \| 26 \| 1 \| None row 33 : mitchell langerak \| australia \| 21 \| 0 \| None row 34 : nick ward \| australia \| 46 \| 5 \| None row 35 : ramazan tavsanc \| australia \| 4 \| 0 \| None row 36 : richard kitzbichler \| austria \| 18 \| 5 \| first austrian to play for melbourne row 37 : ricky diaco \| australia \| 13 \| 1 \| None row 38 : robbie kruse \| australia \| 39 \| 16 \| None row 39 : rodrigo vargas \| australia \| 139 \| 7 \| None row 40 : sam gallagher \| australia \| 2 \| 0 \| None row 41 : scott galloway \| australia \| 11 \| 0 \| None row 42 : sebastian ryall \| australia \| 24 \| 0 \| None row 43 : simon storey \| australia \| 32 \| 0 \| None ] Execute this SQL based on the above table: select avg ( matches played ) where name = 'archie thompson'	160.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 2 : 1 \| russia (rus) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| great britain (gbr) \| 1 \| 0 \| 0 \| 1 row 4 : 4 \| slovakia (svk) \| 0 \| 2 \| 2 \| 4 row 5 : 5 \| china (chn) \| 0 \| 2 \| 1 \| 3 row 6 : 6 \| mexico (mex) \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| germany (ger) \| 0 \| 0 \| 2 \| 2 row 8 : 8 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| switzerland (sui) \| 0 \| 0 \| 1 \| 1 row 10 : 8 \| thailand (tha) \| 0 \| 0 \| 1 \| 1 row 11 : 8 \| uzbekistan (uzb \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 7 \| 6 \| 1 \| 14 row 2 : 2 \| china \| 5 \| 5 \| 2 \| 12 row 3 : 3 \| japan \| 3 \| 1 \| 5 \| 9 row 4 : 4 \| hong kong \| 2 \| 3 \| 5 \| 10 row 5 : 5 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 6 : 6 \| iran \| 1 \| 3 \| 2 \| 6 row 7 : 7 \| thailand \| 1 \| 2 \| 3 \| 6 row 8 : 8 \| malaysia \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| kyrgyzstan \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 11 : 10 \| uzbekistan \| 0 \| 1 \| 0 \| 1 row 12 : total \| total \| 23 \| 23 \| 23 \| 69 ] Execute this SQL based on the above table: select nation where nation in ( 'kyrgyzstan' , 'total' ) order by rank asc limit 1	total
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select count ( location ) where team = 'brothers-valleys'	1
[ header: year \| location \| men's individual \| women's individual \| men's team \| women's team \| mixed team \| ref row 1 : 1996 \| vaulx-en-velin \| franck dauphin (fra) \| anna campagnoli (ita \| None \| None \| None \| row 2 : 1998 \| taoyuan \| john blaschke (usa) \| shih ya-ping (t \| united states \| chinese taipei \| None \| row 3 : 2000 \| madrid \| tsai sung-pin \| jamie van natta (usa) \| united states \| united states \| None \| row 4 : 2002 \| chonburi \| adam wheatcroft (usa) \| mary zorn (usa) \| united states \| united states \| None \| row 5 : 2004 \| madrid \| choi yong-hee ( \| mary zorn (usa) \| south korea \| united states \| None \| row 6 : 2006 \| vinicne \| braden gellenthien (usa \| amandine bouillot (fr \| united states \| france \| united states \| row 7 : 2008 \| tainan \| jedd greschock (usa \| erika anschutz (usa) \| mexico \| south korea \| united states \| row 8 : 2010 \| shenzhen \| adam gallant (usa) \| vida halimian (ir \| united states \| united states \| united states \| row 9 : 2012 \| cordoba \| daniel suter (us \| kristina berger (ger) \| italy \| united states \| united states \| row 10 : 2014 \| legnica \| None \| None \| None \| None \| None \| ] Execute this SQL based on the above table: select women's individual where location = 'vaulx-en-velin'	anna campagnoli (ita)
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( role )	14
[ header: year \| laureate \| relation \| category \| rationale row 1 : 1922 \| otto fritz meyerhof \| research professor in physiological chemistry, 1940-1951 \| physiology or medicine \| "for his discovery of the fixed relationship between the row 2 : 1955 \| vincent du vigneaud \| assistant in biochemistry, graduate school of medicine, \| chemistry \| "for his work on sulphur compounds row 3 : 1964 \| martin luther king \| graduate student, 1950-51 \| nobel peace prize \| for being "the first person in the western world row 4 : 1967 \| ragnar granit \| research fellow, 1929-1931; sc \| physiology or medicine \| "for their discoveries concerning the primary physiological and chemical row 5 : 1971 \| simon kuznets \| assistant professor of economic statistics, 1930-1934; \| economics \| "for his empirically founded interpretation of economic growth row 6 : 1985 \| michael stuart brown \| a.b., 1962; m \| physiology or medicine \| "for their discoveries concerning the regulation of cholesterol metabolism row 7 : 2000 \| alan macdiarmid \| department of chemistry, 1955- ; blanc \| chemistry \| "for their discovery and development of conductive poly row 8 : 2000 \| hideki shirakawa \| department of chemistry, post-doctoral \| chemistry \| "for their discovery and development of conductive poly row 9 : 2004 \| edward c. prescott \| assistant professor, 1967-1971 \| economics \| "for their contributions to dynamic macroeconomics: row 10 : 2006 \| edmund phelps \| professor, 1966-1971 \| economics \| "for his analysis of intertemporal tradeoff row 11 : 2009 \| george e. smith \| b.s., 1955 \| physics \| "for the invention of an imaging semiconductor circuit row 12 : 2009 \| oliver e. williamson \| professor, 1965-1983 \| economics \| "for his analysis of economic governance, especially the row 13 : 2010 \| ei'ichi negishi \| ph.d., 1963 \| chemistry \| "for palladium-catalyze row 14 : 2011 \| thomas j. sargent \| professor, 1970-1971 \| economics \| "for their empirical research on cause and effect in ] Execute this SQL based on the above table: select count ( * ) where relation = 'professor, 1970-1971'	1
[ 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 xbox 360 release date where drop(s) = '1-2'	24 january 2012
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select max ( year ) where title = '"101"'	2006
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select count ( opponent# )	12
[ header: date from \| date to \| pos. \| name \| from row 1 : 3 august 2012 \| 31 january 2013 \| fw \| benik afobe \| arsenal row 2 : 31 august 2012 \| 30 june 2013 \| mf \| jay spearing \| liverpool row 3 : 21 september 2012 \| 22 december 2012 \| df \| stephen warnock \| aston villa row 4 : 8 november 2012 \| 5 january 2013 \| mf \| jacob butterfield \| norwich city row 5 : 25 january 2013 \| 27 april 2013 \| df \| craig dawson \| west brom row 6 : 25 january 2013 \| january 2014 \| mf \| jan gregus \| banik ostrava row 7 : 31 january 2013 \| 3 march 2013 \| mf \| steve de ridder \| southampton row 8 : 28 march 2013 \| 30 june 2013 \| fw \| robert hall \| west ham row 9 : 28 march 2013 \| 4 may 2013 \| df \| danny butterfield \| southampton ] Execute this SQL based on the above table: select count ( * ) where pos. = 'mf'	4
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select directed by where no. in season = ( select no. in season where directed by = 'tim matheson' ) + 1	ken girotti
[ header: wicket \| score \| batting partners \| opposition \| venue \| year \| link row 1 : 1st \| 375 \| ra white & mj po \| gloucestershire \| northampton \| 2002 \| row 2 : 2nd \| 344 \| g cook & rj boyd \| lancashire \| northampton \| 1986 \| row 3 : 3rd \| 393 \| a fordham & aj \| yorkshire \| leeds \| 1990 \| row 4 : 4th \| 370 \| rt virgin & p wille \| somerset \| northampton \| 1976 \| row 5 : 5th \| 401 \| mb loye & d \| glamorgan \| northampton \| 1998 \| row 6 : 6th \| 376 \| r subba row & a \| surrey \| the oval \| 1958 \| row 7 : 7th \| 293 \| djg sales & d \| essex \| northampton \| 1999 \| row 8 : 8th \| 179 \| aj hall & jd middle \| surrey \| the oval \| 2011 \| row 9 : 9th \| 156 \| r subba row & s \| lancashire \| northampton \| 1955 \| row 10 : 10th \| 148 \| bw bellamy & j \| glamorgan \| northampton \| 1925 \| ] Execute this SQL based on the above table: select venue order by score desc limit 1	northampton
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select nation where id = ( select id where rank = 16 and nation = 'czech republic' ) - 1	poland
[ header: no. \| race title \| track \| date \| tv row 1 : 1 \| nextera energy resources 250 \| daytona international speedway, dayt \| february 21 \| fs1 row 2 : 2 \| kroger 250 \| martinsville speedway, martin \| march 30 \| fs1 row 3 : 3 \| sfp 250 \| kansas speedway, kan \| may 9 \| fs1 row 4 : 4 \| north carolina education lottery 200 \| charlotte motor speedway, concord \| may 16 \| fs1 row 5 : 5 \| lucas oil 200 \| dover international speedway, dover \| may 30 \| fs1 row 6 : 6 \| winstar world casino 400k \| texas motor speedway, fort \| june 6 \| fs1 row 7 : 7 \| gateway 200 \| gateway motorsports park, madison, \| june 14 \| fs1 row 8 : 8 \| unoh 225 \| kentucky speedway, s \| june 26 \| fs1 row 9 : 9 \| american ethanol 200 \| iowa speedway, newton \| july 12 \| fs1 row 10 : 10 \| mudsummer classic \| eldora speedway, new weston \| july 23 \| fs1 row 11 : 11 \| pocono mountains 150 \| pocono raceway, long pond \| august 2 \| fs1 row 12 : 12 \| michigan national guard 200 \| michigan international speedway, brooklyn \| august 16 \| fs1 row 13 : 13 \| unoh 200 \| bristol motor speedway, b \| august 20 \| fs1 row 14 : 14 \| chevy silverado 250 \| canadian tire motorsport park, bowman \| august 31 \| fs1 row 15 : 15 \| enjoyillinois.com 225 \| chicagoland speedway, joliet \| september 12 \| fs1 row 16 : 16 \| unoh 175 \| new hampshire motor speedway, loud \| september 20 \| fs1 row 17 : 17 \| smith's 350 \| las vegas motor speedway, la \| september 27 \| fs1 row 18 : 18 \| fred's 250 \| talladega superspeedway, talla \| october 18 \| fox row 19 : 19 \| kroger 200 \| martinsville speedway, martin \| october 25 \| fs1 row 20 : 20 \| winstar world casino 350k \| texas motor speedway, fort \| october 31 \| fs1 row 21 : 21 \| lucas oil 150 \| phoenix international raceway, a \| november 7 \| fs1 row 22 : 22 \| ford ecoboost 200 \| homestead-miami speedway, home \| november 14 \| fs1 ] Execute this SQL based on the above table: select count ( * ) where date = 'july 23'	1
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal order by executions in effigie desc limit 1	total
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select count ( position ) where season >= 2007 and season <= 1999	0
[ header: pos. \| div. \| no. \| team \| drivers \| car \| laps \| qual. pos. row 1 : 1 \| 1 \| 11 \| perkins engineering \| larry perkins tomas mezera \| holden vl commodore \| 125 \| 2 row 2 : 2 \| 1 \| 35 \| peter jackson racing \| glenn seton colin bond \| ford sierra rs500 \| 125 \| 4 row 3 : 4 \| 1 \| 20 \| benson & hedges racing \| gary brabham david brabham \| ford sierra rs500 \| 123 \| 7 row 4 : 5 \| 1 \| 30 \| peter jackson racing \| george fury drew price \| ford sierra rs500 \| 123 \| 9 row 5 : 8 \| 1 \| 33 \| pro-duct motorsport \| bob pearson bruce stewart \| holden vl commodore \| 122 \| 16 row 6 : 11 \| 1 \| 12 \| ray lintott \| ray lintott ter \| ford sierra rs500 \| 121 \| 13 row 7 : 12 \| 1 \| 26 \| garry rogers motorsport \| garry rogers paul fordham \| holden vl commodore \| 121 \| 14 row 8 : 13 \| 1 \| 27 \| terry finnigan \| terry finnigan geoff lee \| holden vl commodore \| 120 \| 15 row 9 : 14 \| 1 \| 42 \| lusty engineering \| john lusty bernie stack \| holden vl commodore \| 119 \| 20 row 10 : 20 \| 2 \| 53 \| brian bolwell racing \| brian bolwell mike \| bmw 323i \| 111 \| 29 row 11 : 23 \| 3 \| 76 \| peter verheyen \| peter verheyen john vernon \| toyota sprinter \| 109 \| 36 row 12 : dnf \| 1 \| 17 \| shell ultra hi racing \| dick johnson john bowe \| ford sierra rs500 \| 123 \| 5 row 13 : dnf \| 3 \| 75 \| bob holden motors \| dennis rogers garry jones \| toyota corolla \| 75 \| 31 row 14 : dnf \| 1 \| 21 \| bob forbes motorsport \| mark gibbs rohan ons \| holden vl commodore \| 64 \| 8 row 15 : dnf \| 1 \| 22 \| lusty engineering \| graham lusty ken lust \| holden vl commodore \| 52 \| 21 row 16 : dnf \| 1 \| 1 \| nissan motorsport australia \| jim richards mark skaif \| nissan skyline r32 \| 51 \| 1 row 17 : dnf \| 3 \| 74 \| bob holden motors \| phil alexander keith m \| toyota corolla \| 44 \| 33 row 18 : dnf \| 1 \| 46 \| garry willmington performance \| garry willmington john bour \| toyota supra turbo \| 24 \| 18 row 19 : dnf \| 1 \| 23 \| chris lambden \| chris lambden des wall \| nissan skyline hr \| 18 \| 17 row 20 : dnf \| 3 \| 73 \| bob holden motors \| bob holden mike conway \| toyota sprinter \| 8 \| 35 ] Execute this SQL based on the above table: select drivers order by length ( pos. ) desc limit 1	dick johnson john bowe
[ header: date \| train \| location \| present location \| comments \| top speed (km/h) row 1 : 1969 / 1970 \| transrapid 01 \| munich \| deutsches museum, munich \| by krauss-maffei \| None row 2 : 6 may 1971 \| mbb prinzipfahrzeug \| mbb's otto \| None \| by mbb. first passenger-car \| 90 (1971) row 3 : 6 october 1971 \| transrapid 02 \| krauss-maffei' \| krauss-maffei, \| by krauss-maffei \| 164 (october 1971) row 4 : 1972 / 1974 ? \| erlangener erprobungstrager \| southern edge of erlangen (near nur \| None \| by siemens and others. electrodynamic suspension \| 160 / 230 (1974) ? row 5 : 20 december 1973 \| transrapid 04 \| munich - allach, west germany \| technik museum speyer \| by krauss-maffei \| 250 (end 1973), 253.2 (21 row 6 : 1974 / january 1975 \| komponentenmeßtrager (kom \| manching, west germany \| None \| by mbb. unmanned. 1 \| 401.3 (1974) row 7 : 1975 \| hmb1 \| thyssen henschel in \| None \| by thyssen henschel. \| None row 8 : 1976 \| hmb2 \| thyssen henschel in \| None \| by thyssen henschel. \| 36 (or 40 ?) row 9 : 17 may 1979 \| transrapid 05 \| international transportation exhibition (iva 79) in \| thyssenkrupp, \| 908 m track \| 75 row 10 : june 1983 \| transrapid 06 \| transrapid versuchsanlage e \| a part is in deutsches museum, \| presented to public in munich on 13 march 1983 \| 302 (1984), 355 (1985), row 11 : 1988 \| transrapid 07 \| transrapid versuchsanlage e \| munich international airport and infozentrum lathen \| presented to public at the international transportation exhibition (iva \| 436 (1989), 450 (17 jun row 12 : august 1999 \| transrapid 08 \| transrapid versuchsanlage e \| destroyed 22 september 2006 in accident \| None \| None row 13 : 2002 \| transrapid smt \| shanghai maglev train, china \| shanghai, china \| None \| 501 (12 november 2003) row 14 : 2007 \| transrapid 09 \| transrapid versuchsanlage e \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where location = 'munich - allach, west germany'	1
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select title - 1 where # = 6	-1
[ header: rank \| name \| height ft / m \| floors \| year \| notes row 1 : 1 \| rhodes state office tower \| 629 / 192 \| 41 \| 1973 \| has been the tallest building in columbus row 2 : 2 \| leveque tower \| 555 / 169 \| 47 \| 1927 \| tallest building constructed in columbus in the row 3 : 3 \| william green building \| 530 / 162 \| 33 \| 1990 \| tallest building constructed in columbus in the row 4 : 4 \| huntington center \| 512 / 156 \| 37 \| 1984 \| tallest building constructed in columbus in the row 5 : 5 \| vern riffe state office tower \| 503 / 153 \| 32 \| 1988 \| None row 6 : 6 \| one nationwide plaza \| 485 / 148 \| 40 \| 1976 \| None row 7 : 7 \| franklin county courthouse \| 464 / 141 \| 27 \| 1991 \| None row 8 : 8 \| aep building \| 456 / 139 \| 31 \| 1983 \| None row 9 : 9 \| borden building \| 438 / 134 \| 34 \| 1974 \| None row 10 : 10 \| three nationwide plaza \| 408 / 124 \| 27 \| 1989 \| None row 11 : 11 \| one columbus center \| 366 / 112 \| 26 \| 1987 \| None row 12 : 12 \| columbus center \| 357 / 109 \| 25 \| 1964 \| tallest building constructed in columbus in the row 13 : 13 \| capitol square \| 350 / 107 \| 26 \| 1984 \| None row 14 : 14 \| continental center \| 348 / 106 \| 26 \| 1973 \| None row 15 : 15 \| pnc bank building \| 317 / 97 \| 25 \| 1977 \| None row 16 : 16 \| miranova condominiums \| 314 / 96 \| 26 \| 2001 \| tallest residential building in the state of o row 17 : 17 \| fifth third center \| 302 / 92 \| 25 \| 1998 \| None row 18 : 18 \| motorists mutual building \| 286 / 87 \| 21 \| 1973 \| None row 19 : 19 \| midland building \| 280 / 85 \| 21 \| 1970 \| None row 20 : 20 \| the condominiums at north bank park \| 267 / 81 \| 20 \| 2007 \| None row 21 : 21= \| lincoln tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 22 : 21= \| morrill tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 23 : 23 \| hyatt regency columbus \| 256 / 78 \| 20 \| 1980 \| None row 24 : 24 \| key bank building \| 253 / 77 \| 20 \| 1963 \| None row 25 : 25 \| adam's mark hotel \| 243 / 74 \| 16 \| 1961 \| None row 26 : 26 \| town center \| 226 / 69 \| 17 \| 1974 \| None row 27 : 27 \| 8 east broad street \| 212 / 64.6 \| 17 \| 1906 \| None row 28 : 28 \| huntington building \| 202 / 59.4 \| 13 \| 1926 \| None row 29 : 29 \| ohio judicial center \| 200 / 57.9 \| 14 \| 1933 \| None row 30 : 30 \| 16 east broad street \| 180 / 64.4 \| 13 \| 1900 \| None ] Execute this SQL based on the above table: select name order by rank desc limit 1	16 east broad street
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select count ( constructor ) where grid > 15	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 7 \| 4 \| 3 \| 14 row 2 : 2 \| bolivia \| 2 \| 2 \| 2 \| 6 row 3 : 2 \| chile \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| peru \| 1 \| 3 \| 3 \| 7 row 5 : 5 \| ecuador \| 1 \| 1 \| 1 \| 3 row 6 : 6 \| colombia \| 0 \| 1 \| 2 \| 3 row 7 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select nation where nation = 'peru'	peru
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select count ( * ) where territory = 'international'	1
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 1 \| arnold trail to quebec \| october 1, 1969 (#69 \| along the kennebec river, through \| coburn gore \| extends through franklin, kenn row 2 : 2 \| barn on lot 8, range g \| august 24, 2011 (#11000581) \| 816 foster hill rd. 44° \| freeman township \| None row 3 : 3 \| bass boarding house \| april 7, 1988 (#88000 \| canal st. 44°35′12 \| wilton \| None row 4 : 5 \| john g. coburn \| april 11, 2002 (#02000 \| 360 river rd. 44°37′ \| carthage \| perhaps the "john g. coburn house row 5 : 9 \| first congregational church, united church of christ \| july 25, 1974 (#74000149 \| main st. 44°40′04 \| farmington \| None row 6 : 13 \| greenacre \| october 29, 1982 (#82 \| 17 court st. 44°40′ \| farmington \| None row 7 : 15 \| holmes-crafts homestead \| april 26, 1973 (#73000 \| old n. jay rd. \| north jay \| None row 8 : 17 \| jay-niles memorial library \| march 13, 1987 (#87000414) \| state route 4 44°32′53′′n \| north jay \| None row 9 : 18 \| little red schoolhouse \| february 23, 1972 (#72000070 \| south of west farmington on wilton r \| west farmington \| None row 10 : 21 \| mccleary farm \| april 7, 1989 (#89000 \| s. strong rd. 44° \| strong \| None row 11 : 22 \| merrill hall \| january 23, 1980 (#800002 \| maine and academy sts. 44 \| farmington \| None row 12 : 23 \| new sharon bridge \| september 24, 1999 (#99001189) \| south of u.s. route 2 over \| new sharon \| to be demolished ] Execute this SQL based on the above table: select where name on the register = 'mccleary farm'	21.0
[ header: year \| english title \| chinese title \| director \| role row 1 : 1933 \| twenty-four hours in shanghai \| 上海二十四小时 \| shen xiling \| None row 2 : 1937 \| street angel \| 马路天使 \| yuan muzhi \| xiao chen row 3 : 1937 \| crossroads \| 十字街头 \| shen xiling \| zhao row 4 : 1947 \| far away love \| 遙遠的愛 \| chen liting \| xiao yuanxi row 5 : 1947 \| rhapsody of happiness \| 幸福狂想曲 \| chen liting \| None row 6 : 1949 \| crows and sparrows \| 烏鴉与麻雀 \| zheng junli \| little broadcast row 7 : 1949 \| women side by side \| 丽人行 \| chen liting \| zhang yuliang row 8 : 1950 \| the life of wu xun \| 武训传 \| sun yu \| wu xun row 9 : 1951 \| the married couple \| 我们夫妇之间 \| zheng junli \| None row 10 : 1956 \| li shizhen \| 李时珍 \| shen fu \| li shizhen row 11 : 1958 \| lin zexu \| 林则徐 \| zheng junli \| lin zexu row 12 : 1959 \| nie er \| 聂耳 \| zheng junli \| nie er ] Execute this SQL based on the above table: select english title order by year limit 1	twenty-four hours in shanghai
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select count ( * ) where pennant = 'to pakistan as tariq'	0
[ header: year \| film \| director \| producer \| writer \| notes row 1 : 1953 \| the sea around us \| yes \| yes \| yes \| documentary academy award for best documentary feature row 2 : 1954 \| dangerous mission \| None \| yes \| None \| None row 3 : 1956 \| the animal world \| yes \| yes \| yes \| documentary row 4 : 1957 \| the story of mankind \| yes \| yes \| yes \| documentary row 5 : 1960 \| the big circus \| None \| yes \| yes \| None row 6 : 1960 \| the lost world \| yes \| yes \| yes \| None row 7 : 1961 \| voyage to the bottom of the sea \| yes \| yes \| yes \| None row 8 : 1962 \| five weeks in a balloon \| yes \| yes \| yes \| None row 9 : 1972 \| the poseidon adventure \| yes \| yes \| None \| directed action sequences only nominated-gold row 10 : 1974 \| the towering inferno \| None \| yes \| None \| nominated-academy award for best row 11 : 1978 \| the swarm \| yes \| yes \| None \| None row 12 : 1979 \| beyond the poseidon adventure \| yes \| yes \| None \| None row 13 : 1980 \| when time ran out \| None \| yes \| None \| None row 14 : 1983 \| cave-in! \| None \| yes \| None \| None ] Execute this SQL based on the above table: select year where director = 'yes'	1953, 1956, 1957, 1960, 1961, 1962, 1972, 1978, 1979
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select runner-up where year = 2006	tengku hadzali shah
[ header: year \| single \| peak chart positions ger \| peak chart positions ire \| peak chart positions uk \| peak chart positions us \| peak chart positions us main \| peak chart positions us dance \| certifications (sales thresholds) \| album row 1 : 1970 \| "memo from turner" \| 23 \| None \| 32 \| None \| None \| None \| \| performance (soundtrack) row 2 : 1978 \| "don't look back" (with pe \| None \| None \| 43 \| 81 \| None \| None \| \| bush doctor (peter tosh album) row 3 : 1984 \| "state of shock" (with the jack \| 23 \| 8 \| 14 \| 3 \| 3 \| None \| \| victory (the jacksons album) row 4 : 1985 \| "just another night" \| 16 \| 21 \| 32 \| 12 \| 1 \| 11 \| \| she's the boss row 5 : 1985 \| "lonely at the top" \| None \| None \| None \| None \| 9 \| None \| \| she's the boss row 6 : 1985 \| "lucky in love" \| 44 \| None \| 91 \| 38 \| 5 \| 11 \| \| she's the boss row 7 : 1985 \| "hard woman" \| 57 \| None \| None \| None \| None \| None \| \| she's the boss row 8 : 1985 \| "dancing in the street" (with \| 6 \| 1 \| 1 \| 7 \| 3 \| 4 \| \| single only row 9 : 1986 \| "ruthless people" \| None \| None \| None \| 51 \| 14 \| 29 \| \| ruthless people (soundtrack) row 10 : 1987 \| "let's work" \| 29 \| 24 \| 31 \| 39 \| 7 \| 32 \| \| primitive cool row 11 : 1987 \| "throwaway" \| None \| None \| None \| 67 \| 7 \| None \| \| primitive cool row 12 : 1987 \| "say you will" \| None \| None \| None \| None \| 39 \| None \| \| primitive cool row 13 : 1993 \| "sweet thing" \| 23 \| None \| 24 \| 84 \| 34 \| None \| \| wandering spirit row 14 : 1993 \| "wired all night" \| None \| None \| None \| None \| 3 \| None \| \| wandering spirit row 15 : 1993 \| "don't tear me up" \| 77 \| None \| 86 \| None \| 1 \| None \| \| wandering spirit row 16 : 1993 \| "out of focus" \| 70 \| None \| None \| None \| None \| None \| \| wandering spirit row 17 : 2001 \| "god gave me everything" \| 60 \| None \| None \| None \| 24 \| None \| \| goddess in the doorway row 18 : 2002 \| "visions of paradise" \| 77 \| None \| 43 \| None \| None \| None \| \| goddess in the doorway row 19 : 2004 \| "old habits die hard" (with dave \| 62 \| None \| 45 \| None \| None \| None \| \| alfie (soundtrack) row 20 : 2008 \| "charmed life" \| None \| None \| None \| None \| None \| 18 \| \| the very best of mick jagger row 21 : 2011 \| "miracle worker" (with superhe \| None \| None \| 136 \| None \| None \| None \| \| superheavy (superheavy album) row 22 : 2011 \| "t.h.e (the hardest ever \| None \| 13 \| 3 \| 36 \| None \| None \| \| #willpower (will.i.am album ] Execute this SQL based on the above table: select certifications (sales thresholds) group by certifications (sales thresholds) order by count ( album ) desc limit 1	@NULL@
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select home team group by home team order by count ( * ) desc limit 1	warrenpoint town
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select time where rank = 1	1:01.77
[ header: pos \| no \| rider \| manufacturer \| laps \| time \| grid \| points row 1 : 1 \| 58 \| marco simoncelli \| gilera \| 25 \| 39:02.553 \| 1 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 25 \| 0.223 \| 3 \| 20 row 3 : 3 \| 36 \| mika kallio \| ktm \| 25 \| 14.45 \| 2 \| 16 row 4 : 4 \| 60 \| julian simon \| ktm \| 25 \| 14.478 \| 6 \| 13 row 5 : 5 \| 6 \| alex debon \| aprilia \| 25 \| 26.226 \| 8 \| 11 row 6 : 6 \| 15 \| roberto locatelli \| gilera \| 25 \| 26.392 \| 11 \| 10 row 7 : 7 \| 72 \| yuki takahashi \| honda \| 25 \| 26.434 \| 7 \| 9 row 8 : 8 \| 41 \| aleix espargaro \| aprilia \| 25 \| 40.546 \| 9 \| 8 row 9 : 9 \| 14 \| ratthapark wilairot \| honda \| 25 \| +1:00.219 \| 12 \| 7 row 10 : 10 \| 32 \| fabrizio lai \| gilera \| 25 \| +1:20.825 \| 13 \| 6 row 11 : 11 \| 17 \| karel abraham \| aprilia \| 25 \| +1:22.802 \| 17 \| 5 row 12 : 12 \| 25 \| alex baldolini \| aprilia \| 25 \| +1:22.864 \| 18 \| 4 row 13 : 13 \| 10 \| imre toth \| aprilia \| 25 \| +1:23.995 \| 16 \| 3 row 14 : 14 \| 52 \| lukas pesek \| aprilia \| 25 \| +1:39.740 \| 14 \| 2 row 15 : 15 \| 35 \| simone grotzkyj \| gilera \| 24 \| +1 lap \| 21 \| 1 row 16 : 16 \| 92 \| daniel arcas \| honda \| 24 \| +1 lap \| 20 \| None row 17 : 17 \| 45 \| doni tata pradita \| yamaha \| 24 \| +1 lap \| 22 \| None row 18 : ret \| 4 \| hiroshi aoyama \| ktm \| 15 \| retirement \| 4 \| None row 19 : ret \| 75 \| mattia pasini \| aprilia \| 15 \| accident \| 10 \| None row 20 : ret \| 55 \| hector faubel \| aprilia \| 4 \| accident \| 5 \| None row 21 : ret \| 90 \| federico sandi \| aprilia \| 1 \| accident \| 15 \| None row 22 : ret \| 43 \| manuel hernandez \| aprilia \| 1 \| retirement \| 19 \| None row 23 : dnq \| 27 \| stefano bianco \| gilera \| None \| None \| None \| None row 24 : dnq \| 89 \| ho wan chow \| aprilia \| None \| None \| None \| None ] Execute this SQL based on the above table: select rider order by grid desc limit 1	doni tata pradita
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select count ( city 2010 census )	21
[ header: party \| first duma \| second duma \| third duma \| fourth duma row 1 : russian social democratic party \| 18 (mensheviks) \| 47 (mensheviks) \| 19 (bolsheviks) \| 15 (bolsheviks) row 2 : socialist-revolutionary party \| None \| 37 \| None \| None row 3 : labour group \| 136 \| 104 \| 13 \| 10 row 4 : progressist party \| 27 \| 28 \| 28 \| 41 row 5 : constitutional democratic party (kadets) \| 179 \| 92 \| 52 \| 57 row 6 : non-russian national groups \| 121 \| None \| 26 \| 21 row 7 : centre party \| None \| None \| None \| 33 row 8 : octobrist party \| 17 \| 42 \| 154 \| 95 row 9 : nationalists \| 60 \| 93 \| 26 \| 22 row 10 : rightists \| 8 \| 10 \| 147 \| 154 row 11 : total \| 566 \| 453 \| 465 \| 448 ] Execute this SQL based on the above table: select party order by third duma limit 1	socialist-revolutionary party
[ header: year \| title \| role \| notes row 1 : 1978 \| the big fix \| pool man \| None row 2 : 1979 \| french postcards \| sayyid \| None row 3 : 1979 \| last embrace \| first commuter \| None row 4 : 1980 \| night of the juggler \| allesandro the cabbie \| None row 5 : 1981 \| ragtime \| tateh \| None row 6 : 1983 \| yentl \| avigdor \| nominated-golden globe award for best row 7 : 1983 \| daniel \| paul isaacson \| None row 8 : 1985 \| maxie \| nick \| None row 9 : 1986 \| tenku no shiro rap \| louis \| None row 10 : 1987 \| the princess bride \| inigo montoya \| None row 11 : 1988 \| alien nation \| detective samuel 'ge \| nominated-saturn award for best row 12 : 1988 \| the house on carroll street \| ray salwen \| None row 13 : 1990 \| dick tracy \| 88 keys \| None row 14 : 1991 \| true colors \| john palmeri \| None row 15 : 1991 \| impromptu \| alfred de musset \| None row 16 : 1991 \| the doctor \| dr. murray kaplan \| None row 17 : 1993 \| the music of chance \| jim nashe \| None row 18 : 1993 \| life with mikey \| irate man \| None row 19 : 1994 \| squanto: a warrior's \| brother daniel \| None row 20 : 1998 \| lulu on the bridge \| philip kleinman \| None row 21 : 1998 \| men with guns \| andrew \| None row 22 : 1999 \| the adventures of elmo in \| huxley \| None row 23 : 2001 \| pinero \| joseph papp \| None row 24 : 2002 \| run ronnie run \| himself \| None row 25 : 2003 \| celebrity train layouts: mandy patin \| himself \| None row 26 : 2005 \| the choking man \| rick \| None row 27 : 2006 \| everyone's hero \| stanley irving \| None row 28 : 2010 \| 4.3.2.1 ... the countdown begins \| jago l \| None row 29 : 2014 \| wish i was here \| saul bloom \| None ] Execute this SQL based on the above table: select role order by year desc limit 1	saul bloom
[ header: discipline \| amanda \| bernie \| javine h \| julia \| michelle row 1 : whitewater kayak \| 0 \| 2 \| 4 \| 3 \| 6 row 2 : hurdles \| 3 \| 1 \| 6 \| 5 \| 3 row 3 : cycling \| 4 \| 2 \| 4 \| 6 \| 0 row 4 : gym floor \| 0 \| 3 \| 6 \| 5 \| 2 row 5 : swimming \| 4 \| 3 \| 6 \| 5 \| 0 row 6 : curling \| 0 \| 2 \| 4 \| 3 \| 5 row 7 : archery \| 4 \| 0 \| 5 \| 2 \| 3 row 8 : hammer \| 2 \| 3 \| 5 \| 4 \| 2 row 9 : 100m sprint \| 2 \| 0 \| 5 \| 3 \| 4 row 10 : total \| 19 \| 16 \| 45 \| 36 \| 25 ] Execute this SQL based on the above table: select michelle where discipline = 'hammer'	2.0
[ header: year \| date \| driver \| team \| manufacturer \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 1997 \| june 22 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:13:32 \| 155.012 \| report row 2 : 1998 \| may 3 \| mark martin \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:33:57 \| 140.22 \| report row 3 : 1999 \| may 2 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:19:38 \| 150.276 \| report row 4 : 2000 \| april 30 \| jeremy mayfield \| penske racing \| ford \| 250 \| 500 (804.672) \| 3:20:50 \| 149.378 \| report row 5 : 2001 \| april 29 \| rusty wallace \| penske racing \| ford \| 250 \| 500 (804.672) \| 3:29:37 \| 143.118 \| report row 6 : 2002 \| april 28 \| jimmie johnson \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:19:53 \| 150.088 \| report row 7 : 2003 \| april 27 \| kurt busch \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:34:07 \| 140.111 \| report row 8 : 2004 \| may 2 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:38:33 \| 137.268 \| report row 9 : 2005 \| february 27 \| greg biffle \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:34:45 \| 139.697 \| report row 10 : 2006 \| february 26 \| matt kenseth \| roush racing \| ford \| 251 \| 502 (807.89) \| 3:23:43 \| 147.852 \| report row 11 : 2007 \| february 25 \| matt kenseth \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:36:41 \| 138.451 \| report row 12 : 2008 \| feb 24/25 \| carl edwards \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:46:04 \| 132.704 \| report row 13 : 2009 \| february 22 \| matt kenseth \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:40:51 \| 135.839 \| report row 14 : 2010 \| february 21 \| jimmie johnson \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:31:24 \| 141.911 \| report row 15 : 2011 \| march 27 \| kevin harvick \| richard childress racing \| chevrolet \| 200 \| 400 (643.737) \| 2:39:06 \| 150.849 \| report row 16 : 2012 \| march 25 \| tony stewart \| stewart-haas racing \| chevrolet \| 129 \| 258 (415.21) \| 1:36:39 \| 160.166 \| report row 17 : 2013 \| march 24 \| kyle busch \| joe gibbs racing \| toyota \| 200 \| 400 (643.737) \| 2:57:19 \| 135.351 \| report row 18 : 2014 \| march 23 \| kyle busch \| joe gibbs racing \| toyota \| 206 \| 412 (663.05) \| 3:05:53 \| 132.987 \| report ] Execute this SQL based on the above table: select count ( * ) where abs ( driver - driver ) = 169	0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select count ( * ) where percentage = '19.42%'	1
[ 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 ( language ) where year = 2012	5
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select label where year = 2005	disky
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select count ( * ) where year > 1939	13
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select count ( position ) where venue = 'helsinki, finland' and position = '48th'	1
[ header: pos. \| div. \| no. \| team \| drivers \| car \| laps \| qual. pos. row 1 : 1 \| 1 \| 11 \| perkins engineering \| larry perkins tomas mezera \| holden vl commodore \| 125 \| 2 row 2 : 2 \| 1 \| 35 \| peter jackson racing \| glenn seton colin bond \| ford sierra rs500 \| 125 \| 4 row 3 : 4 \| 1 \| 20 \| benson & hedges racing \| gary brabham david brabham \| ford sierra rs500 \| 123 \| 7 row 4 : 5 \| 1 \| 30 \| peter jackson racing \| george fury drew price \| ford sierra rs500 \| 123 \| 9 row 5 : 8 \| 1 \| 33 \| pro-duct motorsport \| bob pearson bruce stewart \| holden vl commodore \| 122 \| 16 row 6 : 11 \| 1 \| 12 \| ray lintott \| ray lintott ter \| ford sierra rs500 \| 121 \| 13 row 7 : 12 \| 1 \| 26 \| garry rogers motorsport \| garry rogers paul fordham \| holden vl commodore \| 121 \| 14 row 8 : 13 \| 1 \| 27 \| terry finnigan \| terry finnigan geoff lee \| holden vl commodore \| 120 \| 15 row 9 : 14 \| 1 \| 42 \| lusty engineering \| john lusty bernie stack \| holden vl commodore \| 119 \| 20 row 10 : 20 \| 2 \| 53 \| brian bolwell racing \| brian bolwell mike \| bmw 323i \| 111 \| 29 row 11 : 23 \| 3 \| 76 \| peter verheyen \| peter verheyen john vernon \| toyota sprinter \| 109 \| 36 row 12 : dnf \| 1 \| 17 \| shell ultra hi racing \| dick johnson john bowe \| ford sierra rs500 \| 123 \| 5 row 13 : dnf \| 3 \| 75 \| bob holden motors \| dennis rogers garry jones \| toyota corolla \| 75 \| 31 row 14 : dnf \| 1 \| 21 \| bob forbes motorsport \| mark gibbs rohan ons \| holden vl commodore \| 64 \| 8 row 15 : dnf \| 1 \| 22 \| lusty engineering \| graham lusty ken lust \| holden vl commodore \| 52 \| 21 row 16 : dnf \| 1 \| 1 \| nissan motorsport australia \| jim richards mark skaif \| nissan skyline r32 \| 51 \| 1 row 17 : dnf \| 3 \| 74 \| bob holden motors \| phil alexander keith m \| toyota corolla \| 44 \| 33 row 18 : dnf \| 1 \| 46 \| garry willmington performance \| garry willmington john bour \| toyota supra turbo \| 24 \| 18 row 19 : dnf \| 1 \| 23 \| chris lambden \| chris lambden des wall \| nissan skyline hr \| 18 \| 17 row 20 : dnf \| 3 \| 73 \| bob holden motors \| bob holden mike conway \| toyota sprinter \| 8 \| 35 ] Execute this SQL based on the above table: select sum ( div. )	29.0
[ header: \| landmark name \| date built \| style \| location \| description row 1 : 1 \| gridley building \| 1867 \| second empire \| 101 east water street \| also known as the onondaga county savings row 2 : 2 \| gere bank building \| 1894 \| louis sullivan type \| 121 east water street \| 5 stories; built of granite, brick and row 3 : 3 \| phoenix buildings (portion) \| 1834 \| federal \| 123 east water street \| 4 stories; brick row 4 : 4 \| phillips block \| 1834 \| federal \| 125-127 east water street \| 4 stories; brick row 5 : 5 \| phoenix buildings (portion) \| 1834 \| federal \| 129 east water street \| 4 stories; brick row 6 : 6 \| dana building \| 1837, 1861 \| federal, italianate \| 135 east water street \| italianate top floor added in 1861; 4 row 7 : 7 \| grange building \| 1925 \| commercial \| 203 east water street \| originally an auto dealership; 4 stories; brown brick row 8 : 8 \| state tower building \| 1927 \| art deco \| 109 south warren street \| 22 stories; brick and limestone; tho row 9 : 9 \| granger block \| 1869, 1894 \| renaissance revival \| 200 east genesee street \| also known as the sa&k ( row 10 : 10 \| larned building \| 1869 \| second empire \| 114 south warren street \| 5 stories; brick row 11 : 11 \| post standard building \| 1880 \| richardsonian romanesque \| 136 east genesee street \| 5 stories; brick row 12 : 12 \| franklin buildings (portion) \| 1870 \| second empire \| 134 east genesee street \| 41⁄2 stories; brick row 13 : 13 \| franklin buildings (portion) \| None \| federal \| 132 east genesee street \| 4 stories; stone row 14 : 14 \| franklin buildings (portion) \| 1834 \| federal \| 128 east genesee street \| 4 stories; brick row 15 : 15 \| franklin buildings (portion) \| 1839 \| federal \| 122-126 east genesee street \| 5 stories; brick row 16 : 16 \| flagship securities building \| 1896 \| neo-classical \| 120 east genesee street \| 3 stories; marble and brick; albert row 17 : 17 \| onondaga county savings bank \| 1896 \| neo-classical \| 113 south salina street \| 91⁄2 stories; granite and limestone; ] Execute this SQL based on the above table: select count ( distinct )	17
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select ( select gross where date = 'february 16, 2014' ) - ( select gross where date = 'march 16, 2014' )	396292.0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select count ( * ) where party = '69493'	0
[ header: week # \| theme \| song choice \| original artist \| order # \| result row 1 : audition \| auditioner's choice \| "tempos modernos" \| lulu santos \| None \| advanced row 2 : theater \| first solo \| "a sombra da maldade" \| cidade negra \| None \| advanced row 3 : top 30 \| semi-final/group 3 \| "noite do prazer" \| claudio zoli \| 10 \| advanced row 4 : top 10 \| my idol \| "paraiso" \| claudio zoli \| 6 \| safe row 5 : top 9 \| male singers \| "ultimo romantico" \| lulu santos \| 8 \| safe row 6 : top 8 \| female singers \| "lanterna dos afo \| cassia eller \| 1 \| safe row 7 : top 7 \| birth year songs \| "frisson" \| tunai \| 4 \| safe row 8 : top 6 \| jovem pan hits \| "do seu lado" \| jota quest \| 6 \| safe row 9 : top 5 \| jovem guarda \| "o bom" \| eduardo araujo \| 3 \| safe row 10 : top 5 \| jovem guarda \| "vem me ajudar" \| the fevers \| 8 \| safe row 11 : top 4 \| brazil regional \| "eva" \| radio taxi \| 3 \| safe row 12 : top 4 \| brazil regional \| "admiravel gado novo \| ze ramalho \| 7 \| safe row 13 : top 3 \| contestant's choice \| "as sete vampiras \| leo jaime \| 2 \| safe row 14 : top 3 \| contestant's choice \| "eu me rendo" \| fabio junior \| 5 \| safe row 15 : top 2 \| winner's single \| "deixo a voz me \| leandro lopes \| 2 \| winner row 16 : top 2 \| challenging songs \| "queixa" \| caetano veloso \| 4 \| winner row 17 : top 2 \| judge's choice \| "quero te encon \| kid abelha \| 6 \| winner row 18 : top 2 \| best of the season \| "paraiso" \| claudio zoli \| 8 \| winner row 19 : top 2 \| celebrity duet \| "admiravel gado novo \| ze ramalho \| 10 \| winner ] Execute this SQL based on the above table: select theme group by theme order by count ( song choice ) desc limit 1	jovem guarda
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select count ( club )	13
[ header: school \| location \| outright titles \| shared titles \| runners-up \| total finals \| last title \| last final row 1 : methodist college belfast \| belfast \| 35 \| 2 \| 25 \| 62 \| 2014 \| 2014 row 2 : royal belfast academical institution \| belfast \| 29 \| 4 \| 21 \| 54 \| 2007 \| 2013 row 3 : campbell college \| belfast \| 23 \| 4 \| 12 \| 39 \| 2011 \| 2011 row 4 : coleraine academical institution \| coleraine \| 9 \| 0 \| 24 \| 33 \| 1992 \| 1998 row 5 : the royal school, armagh \| armagh \| 9 \| 0 \| 3 \| 12 \| 2004 \| 2004 row 6 : portora royal school \| enniskillen \| 6 \| 1 \| 5 \| 12 \| 1942 \| 1942 row 7 : bangor grammar school \| bangor \| 5 \| 0 \| 4 \| 9 \| 1988 \| 1995 row 8 : ballymena academy \| ballymena \| 3 \| 0 \| 6 \| 9 \| 2010 \| 2010 row 9 : rainey endowed school \| magherafelt \| 2 \| 1 \| 2 \| 5 \| 1982 \| 1982 row 10 : foyle college \| londonderry \| 2 \| 0 \| 4 \| 6 \| 1915 \| 1915 row 11 : belfast royal academy \| belfast \| 1 \| 3 \| 5 \| 9 \| 1997 \| 2010 row 12 : regent house grammar school \| newtownards \| 1 \| 1 \| 2 \| 4 \| 1996 \| 2008 row 13 : royal school dungannon \| dungannon \| 1 \| 0 \| 4 \| 5 \| 1907 \| 1975 row 14 : annadale grammar school (now wellington college \| belfast \| 1 \| 0 \| 1 \| 2 \| 1958 \| 1978 row 15 : ballyclare high school \| ballyclare \| 1 \| 0 \| 1 \| 2 \| 1973 \| 2012 row 16 : belfast boys' model school \| belfast \| 1 \| 0 \| 0 \| 1 \| 1971 \| 1971 row 17 : grosvenor high school \| belfast \| 1 \| 0 \| 0 \| 1 \| 1983 \| 1983 row 18 : wallace high school \| lisburn \| 0 \| 0 \| 4 \| 4 \| None \| 2007 row 19 : derry academy \| derry \| 0 \| 0 \| 2 \| 2 \| None \| 1896 row 20 : dalriada school \| ballymoney \| 0 \| 0 \| 1 \| 1 \| None \| 1993 row 21 : galway grammar school \| galway \| 0 \| 0 \| 1 \| 1 \| None \| 1887 row 22 : lurgan college \| lurgan \| 0 \| 0 \| 1 \| 1 \| None \| 1934 row 23 : omagh academy \| omagh \| 0 \| 0 \| 1 \| 1 \| None \| 1985 row 24 : sullivan upper school \| holywood \| 0 \| 0 \| 1 \| 1 \| None \| 2014 ] Execute this SQL based on the above table: select outright titles where location = 'dungannon'	1.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select date where venue = 'fitzgerald stadium, killarney'	7 february 2010
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select count ( winner )	35
[ header: name \| party \| took office \| left office row 1 : glenlyon campbell \| conservative \| 1903 \| 1908 row 2 : duncan cameron \| conservative \| 1908 \| 1910 row 3 : sam hughes \| conservative \| 1910 \| 1915 row 4 : william findlater \| liberal \| 1915 \| 1922 row 5 : arthur berry \| progressive \| 1922 \| 1932 row 6 : None \| liberal-progressive \| 1932 \| 1936 row 7 : stanley fox \| social credit \| 1936 \| 1940 row 8 : None \| social credit (coalition) \| 1940 \| 1949 row 9 : ray mitchell \| liberal-progressive \| 1949 \| 1958 ] Execute this SQL based on the above table: select count ( party ) where left office >= 1940	3
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select competition where competition in ( 'asian indoor championships' , 'asian championships' ) group by competition order by count ( * ) desc limit 1	asian championships
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 5 \| 2 \| 0 \| 7 row 2 : 2 \| china \| 4 \| 3 \| 2 \| 9 row 3 : 3 \| south korea \| 0 \| 3 \| 1 \| 4 row 4 : 4 \| north korea \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chinese taipei \| 0 \| 0 \| 3 \| 3 row 6 : 5 \| thailand \| 0 \| 0 \| 3 \| 3 row 7 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select max ( bronze )	9.0
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select role order by id desc limit 1	the girl in the restaurant (as maia morgenstern istodor)
[ header: type \| gauge \| railway \| works no. \| year \| builder row 1 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 1953-1956 \| 1921 \| st. leonard, bel row 2 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 2021-2025 \| 1924 \| st. leonard, bel row 3 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 2056-2059 \| 1926 \| st. leonard, bel row 4 : 0-4-0+0-4-0 \| 750 mm \| mines du zaccar, alg \| 1752 \| 1936 \| du haine saint-pierre row 5 : 0-4-0+0-4-0 \| 1000 mm \| piracicaba sugar co., bra \| 2108 \| 1927 \| st. leonard, bel row 6 : 2-6-0+0-6-2 \| 2 ft 6 in \| victorian government railways, australia \| 6267-6268 \| 1926 \| beyer, peacock row 7 : 2-6-0+0-6-2 \| 3 ft 6 in \| western australian government railways \| 46-55 \| 1930 \| western australian government r'ys row 8 : 2-6-0+0-6-2 \| 4 ft 81⁄2 in \| argentine north eastern (fcne \| 6349-6352 \| 1927 \| beyer, peacock row 9 : 2-6-2+2-6-2 \| 1000 mm \| great western of brazil \| 1024-1025 \| 1929 \| armstrong whitworth row 10 : 2-6-2+2-6-2 \| 3 ft 6 in \| guayaquil & qui \| 6527-6529 \| 1929 \| beyer, peacock row 11 : 2-6-2+2-6-2 \| 3 ft 6 in \| rhodesia railways \| 6510-6515 \| 1929 \| beyer, peacock row 12 : 2-6-2+2-6-2 \| 3 ft 6 in \| south african railways \| 1043-1068 \| 1928 \| krupp row 13 : 2-6-2+2-6-2 \| 3 ft 6 in \| south african railways \| 3115-3119 \| 1929 \| linke-hofmann row 14 : 2-6-2+2-6-2 \| 3 ft 6 in \| trans zambezia, mocambi \| 6380 \| 1930 \| beyer, peacock row 15 : 2-6-2+2-6-2 \| 5 ft 6 in \| sao paulo railway, bra \| 6367-6372 \| 1927 \| beyer, peacock row 16 : 2-8-0+0-8-2 \| 4 ft 81⁄2 in \| ottoman railways, turkey \| 6324 \| 1927 \| beyer, peacock row 17 : 2-8-2+2-8-2 \| 3 ft 6 in \| rhodesia railways \| 6562-6569 \| 1929-30 \| beyer, peacock row 18 : 4-4-2+2-4-4 \| 4 ft 81⁄2 in \| entre rios railway (fcer), argent \| 6360-6364 \| 1927 \| beyer, peacock row 19 : 4-6-2+2-6-4 \| 3 ft 6 in \| nigerian railways \| 7051-7056 \| 1943 \| beyer, peacock row 20 : 4-8-2+2-8-4 \| 1000 mm \| cf d'afrique occidental \| 2748-2754 \| 1941 \| franco-belge, france row 21 : 4-8-2+2-8-4 \| 1000 mm \| kenya uganda railway \| 6516-6523 \| 1928 \| beyer, peacock ] Execute this SQL based on the above table: select railway order by works no. desc limit 1	nigerian railways
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select sum ( no. ) where position = 'rw'	7.0
[ header: name \| date \| nation \| displacement \| speed \| number \| notes row 1 : fmr-class \| 1943 \| us \| 1,200 tons \| 21 knots \| 85 \| None row 2 : gmt-class \| 1943 \| us \| 1,140 tons \| 21 knots \| 72 \| None row 3 : det-class \| 1943 \| us \| 1,240 tons \| 21 knots \| 72 \| None row 4 : tacoma-class frigate \| 1943 \| us \| 1,430 tons \| 20 knots \| 96 \| None row 5 : type b kaibokan \| 1943 \| japan \| 940 tons \| 19 knots \| 37 \| None row 6 : tev-class \| 1944 \| us \| 1,450 tons \| 24 knots \| 22 \| None row 7 : bay-class frigates \| 1945 \| uk \| 1,580 tons \| 20 knots \| 26 \| anti-aircraft row 8 : dealey-class \| 1954 \| us \| 1,450 tons \| 25 knots \| 13 \| None row 9 : type e50 frigate \| 1955 \| france \| 1,290 tons \| 28 knots \| 4 \| fast row 10 : type 14 frigate \| 1955 \| uk \| 1,180 tons \| 24 knots \| 8 \| anti-submarine row 11 : st. laurent-class \| 1955 \| canada \| 2,263 tons \| 28 knots \| 7 \| anti-submarine row 12 : type b \| 1956 \| japan \| 1,070 tons \| 25 knots \| 2 \| diesel row 13 : type 12 frigate \| 1956 \| uk \| 2,150 tons \| 31 knots \| 6 \| anti-submarine row 14 : almirante clemente-class light \| 1956 \| venezuela \| 1,300 tons \| 32 knots \| 6 \| fast row 15 : type 61 frigate \| 1957 \| uk \| 2,170 tons \| 24 knots \| 4 \| aircraft direction row 16 : canopo-class frigate \| 1957 \| italy \| 1,807 tons \| 26 knots \| 4 \| None row 17 : azopardo-class frigate \| 1957 \| argentina \| 1,160 tons \| 20 knots \| 2 \| None row 18 : restigouche-class \| 1958 \| canada \| 2,366 tons \| 28 knots \| 7 \| anti-submarine row 19 : claud jones-class \| 1959 \| us \| 1,450 tons \| 22 knots \| 4 \| None row 20 : type 12m frigate \| 1960 \| uk \| 2,380 tons \| 30 knots \| 12 \| anti-submarine row 21 : koln-class frigate \| 1961 \| germany \| 2,100 tons \| 30 knots \| 6 \| fast row 22 : river-class \| 1961 \| australia \| 2,100 tons \| 30 knots \| 6 \| None row 23 : river-class \| 1961 \| japan \| 1,490 tons \| 25 knots \| 4 \| None row 24 : type 81 frigate \| 1961 \| uk \| 2,300 tons \| 28 knots \| 7 \| general purpose row 25 : mackenzie-class \| 1962 \| canada \| 2,366 tons \| 28 knots \| 4 \| anti-submarine row 26 : hvidbjørnen- \| 1962 \| denmark \| 1,345 tons \| 18 knots \| 4 \| fishery protection row 27 : type 12i frigate \| 1963 \| uk \| 2,450 tons \| 30 knots \| 26 \| general purpose row 28 : bronstein-class \| 1963 \| us \| 2,360 tons \| 26 knots \| 2 \| None row 29 : garcia-class \| 1964 \| us \| 2,620 tons \| 27 knots \| 10 \| None row 30 : oslo-class frigate \| 1966 \| norway \| 1,450 tons \| 25 knots \| 5 \| None row 31 : brooke-class \| 1966 \| us \| 2,640 tons \| 27 knots \| 6 \| guided missile row 32 : peder skram-class frigate \| 1966 \| denmark \| 2,030 tons \| 28 knots \| 2 \| fast row 33 : van speijk-class frigate \| 1967 \| netherlands \| 2,200 tons \| 28 knots \| 6 \| None row 34 : alpino-class frigate \| 1968 \| italy \| 2,000 tons \| 28 knots \| 2 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'mackenzie-class' and name < ( select name where notes = 'fast' )	0
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select max ( signing price ) - min ( signing price )	1085000.0
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select count ( position ) where name = 'gregory richardson'	1
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select time order by time asc limit 1	7:43.89
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select count ( * ) where winner = 'syracuse'	1
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name where name in ( 'reuben kosgei' , 'bouabdellah tahri' ) order by time desc limit 1	reuben kosgei
[ header: tramway \| country \| city \| height of pylons \| span width, leaning straight line \| span width, horizontal measurement \| height of cable over ground \| year of inauguration \| notes row 1 : peak 2 peak gondola \| canada \| whistler \| 65m \| 3024 m \| 3019 m \| 436 m \| 2008 \| 3s aerial tramway constructed by doppel row 2 : hut of regensburg material transport aerial railway \| austria \| falbeson \| None \| None \| None \| 430 m \| None \| None row 3 : vanoise express \| france \| vanoise \| none \| 1850 m \| 1800 m \| 380 m \| 2003 \| None row 4 : aiguille du midi \| france \| chamonix \| none \| 2867 m \| 2500 m \| None \| 1955 \| 2nd section row 5 : vallee blanche aerial tramway \| france \| mont blanc \| none \| 2831 m, 1684 m \| span is almost horizontal \| appr. 300 m \| 1958 \| rock anchored support structure row 6 : 3s aerial tramway \| austria \| kitzbuhel \| 0 m, 80m \| 2507 m \| None \| 400 m \| 2004 \| None row 7 : sandia peak tramway \| usa \| albuquerque \| 70.7 m, 21.33 m \| 2353 m \| None \| 274 m \| 1966 \| None row 8 : feldmoos-chli-tit \| switzerland \| titlis \| 37.6 m \| 3476,2 m \| None \| None \| 1979 \| temp. site tramway, demolished in ] Execute this SQL based on the above table: select count ( country ) where year of inauguration < 2008	6
[ header: rank \| country/territory \| miss supranational \| 1st runner-up \| 2nd runner-up \| 3rd runner-up \| 4th runner-up \| semifinalists \| total row 1 : 2 \| poland \| 1 \| 0 \| 1 \| 0 \| 0 \| 3 \| 5 row 2 : 3 \| philippines \| 1 \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 row 3 : 4 \| panama \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 4 : 5 \| ukraine \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 5 : 7 \| thailand \| 0 \| 1 \| 0 \| 0 \| 1 \| 1 \| 3 row 6 : 8 \| mexico \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 1 row 7 : 9 \| puerto rico \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 \| 3 row 8 : 13 \| peru \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 2 row 9 : 15 \| indonesia \| 0 \| 0 \| 0 \| 1 \| 0 \| 0 \| 1 row 10 : 16 \| england \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 \| 2 row 11 : 17 \| united states \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| u.s. virgin islands \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 13 : 20 \| brazil \| 0 \| 0 \| 0 \| 0 \| 0 \| 4 \| 4 row 14 : 21 \| canada \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 15 : 21 \| dominican republic \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 16 : 21 \| france \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 17 : 21 \| greece \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 18 : 21 \| iceland \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 19 : 21 \| latvia \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 20 : 32 \| australia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 21 : 32 \| bahamas \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 22 : 32 \| belgium \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 23 : 32 \| bosnia and herzegovin \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 24 : 32 \| denmark \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 25 : 32 \| french polynesia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 26 : 32 \| hungary \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 27 : 32 \| korea \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 28 : 32 \| luxembourg \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 29 : 32 \| romania \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 30 : 32 \| spain \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 31 : 32 \| chinese taipei \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select country/territory where country/territory = 'french polynesia'	french polynesia
[ header: place \| nation \| 5 hoops \| 3 balls, 2 ribbons \| total row 1 : 1 \| bulgaria \| 19.800 (1) \| 19.800 (1) \| 39.600 row 2 : 2 \| spain \| 19.700 (3) \| 19.700 (2) \| 39.400 row 3 : 3 \| belarus \| 19.733 (2) \| 19.600 (3) \| 39.333 row 4 : 4 \| russia \| 19.600 (4) \| 19.566 (4) \| 39.166 row 5 : 5 \| ukraine \| 19.366 (5) \| 15.500 (5) \| 38.866 row 6 : 6 \| japan \| 19.166 (6) \| 19.333 (7) \| 38.499 row 7 : 7 \| italy \| 19.066 (7) \| 19.400 (6) \| 38.466 row 8 : 8 \| hungary \| 18.766 (8) \| 19.166 (8) \| 37.932 ] Execute this SQL based on the above table: select nation order by place asc limit 112	bulgaria, spain, belarus, russia, ukraine, japan, italy, hungary
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select count ( * ) where notes = 'cost of living allowance (cola) won for workers'	1

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: edition \| year \| men's winner \| time \| women's winner \| time row 1 : 29th \| october 14, 2012 \| dickson kiptolo \| 2:05:46 \| aberume mekuria (eth \| 2:27:20 row 2 : 28th \| october 9, 2011 \| jafred chirchir kipchu \| 2:05:48 \| georgina rono (ken) \| 2:24:33 row 3 : 26th \| october 11, 2009 \| geoffrey mutai (ken) \| 2:07:01 \| beata naigambo (nam) \| 2:31:01 row 4 : 25th \| october 12, 2008 \| geoffrey mutai (ken) \| 2:07:49 \| lydia kurgat (ken \| 2:33:39 row 5 : 24th \| october 14, 2007 \| philip singoei (ken) \| 2:07:57 \| lydia kurgat (ken \| 2:39:21 row 6 : 23rd \| october 8, 2006 \| philip singoei (ken) \| 2:08:18 \| agnes hijman (ned \| 2:54:36 row 7 : 22nd \| october 9, 2005 \| boniface usisivu (ken \| 2:08:45 \| tatyana perepelkina ( \| 2:38:27 row 8 : 21st \| october 10, 2004 \| willy cheruiyot ( \| 2:09:20 \| annelieke van der sluij \| 2:37:33 row 9 : 20th \| october 12, 2003 \| willy cheruiyot ( \| 2:09:05 \| vivian ruijters \| 2:36:36 row 10 : 19th \| october 13, 2002 \| willy cheruiyot ( \| 2:10:12 \| marleen van reusel (bel) \| 2:54:23 row 11 : 18th \| october 14, 2001 \| samuel tangus ( \| 2:12:47 \| valentina poltavs \| 2:54:30 row 12 : 16th \| october 10, 1999 \| david ngetich (ken) \| 2:09:24 \| nadezhda wij \| 2:28:45 row 13 : 12th \| october 8, 1995 \| pyotro sarafiny \| 2:16:40 \| carla beurskens (ned \| 2:35:16 row 14 : 11th \| october 9, 1994 \| aiduna aitnafa \| 2:11:37 \| jeanne jansen (ned \| 2:45:03 row 15 : 7th \| october 14, 1990 \| john vermeule (ned \| 2:15:03 \| mieke hombergen (ne \| 2:44:59 row 16 : 6th \| october 16, 1988 \| jean-pierre paumen (bel \| 2:14:54 \| heather macduff (eng) \| 2:34:26 row 17 : 5th \| october 12, 1986 \| kim reynierse (n \| 2:15:13 \| heather macduff (eng) \| 2:55:39 row 18 : 3rd \| october 24, 1982 \| lucien rottiers (bel) \| 2:16:27 \| ann rindt (ned) \| 2:59:07 row 19 : None \| 1961-1981 \| marathon race not held \| None \| None \| None ] Execute this SQL based on the above table: select time where men's winner = 'willy cheruiyot (ken)'	2, 2, 2
[ header: district \| representative \| party \| residence \| counties represented row 1 : 1 \| ogden driskill \| republican \| devils tower \| converse, crook, goshen row 2 : 2 \| jim anderson \| republican \| glenrock \| converse, platte row 3 : 3 \| curt meier \| republican \| lagrange \| goshen, platte row 4 : 4 \| tony ross \| republican \| cheyenne \| laramie row 5 : 5 \| fred emerich \| republican \| cheyenne \| laramie row 6 : 6 \| wayne johnson \| republican \| cheyenne \| laramie row 7 : 7 \| leslie nutting \| republican \| cheyenne \| laramie row 8 : 8 \| floyd esquibel \| democratic \| cheyenne \| laramie row 9 : 9 \| chris rothfuss \| democratic \| laramie \| albany row 10 : 10 \| phil nicholas \| republican \| laramie \| albany row 11 : 11 \| larry s. hicks \| republican \| baggs \| albany, carbon row 12 : 12 \| bernadine craft \| democratic \| rock springs \| fremont, sweetwater row 13 : 13 \| john hastert \| democratic \| green river \| sweetwater row 14 : 14 \| stan cooper \| republican \| kemmerer \| lincoln, sublette, sweet row 15 : 15 \| paul barnard \| republican \| evanston \| uinta row 16 : 16 \| dan dockstader \| republican \| afton \| lincoln, sublette, row 17 : 17 \| leland christensen \| republican \| alta \| fremont, teton row 18 : 18 \| hank coe \| republican \| cody \| park row 19 : 19 \| r. ray peterson \| republican \| cowley \| big horn, park row 20 : 20 \| gerald geis \| republican \| worland \| big horn, hot springs, park, row 21 : 21 \| bruce burns \| republican \| sheridan \| sheridan row 22 : 22 \| john schiffer \| republican \| kaycee \| sheridan, johnson row 23 : 23 \| john hines \| republican \| gillette \| campbell row 24 : 24 \| michael von flatern \| republican \| gillette \| campbell row 25 : 25 \| cale case \| republican \| lander \| fremont row 26 : 26 \| eli bebout \| republican \| riverton \| fremont row 27 : 27 \| bill landen \| republican \| casper \| natrona row 28 : 28 \| james lee anderson \| republican \| casper \| natrona row 29 : 29 \| drew perkins \| republican \| casper \| natrona row 30 : 30 \| charles scott \| republican \| casper \| natrona ] Execute this SQL based on the above table: select representative where district = 30	charles scott
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select top ten places group by top ten places order by count ( date ) desc limit 1	the wolf of wall street (#3)
[ header: rank \| views \| closed \| item row 1 : 1 \| 1319214 \| 10 july 2013 \| a printer which was stated to be faulty row 2 : 2 \| 1072893 \| 3 june 2006 \| wellington hurricanes player tana um row 3 : 3 \| 810802 \| 18 june 2009 \| mike whittaker (mik row 4 : 4 \| 459420 \| 1 august 2012 \| the implosion of radio network house on 5 row 5 : 5 \| 355889 \| 20 january 2012 \| your tattoo on my bum!! row 6 : 6 \| 384705 \| 24 may 2009 \| buy a tractor and get a 20 row 7 : 7 \| 316350 \| 7 march 2011 \| landscape rocks for sale in chch (follow row 8 : 8 \| 292184 \| 6 may 2010 \| folden 2010 row 9 : 9 \| 276094 \| 8 january 2009 \| jesus christ pita bread row 10 : 10 \| 258775 \| 9 january 2012 \| two days in the studio and advice from n ] Execute this SQL based on the above table: select item order by views desc limit 1	a printer which was stated to be faulty and 'possessed' was listed by nickftward to be on sale. he used quite a lot of humour and sarcasm to describe it, which made the auction more fun. his description: "words cannot express how much i hate this printer. it never works when i need it to - it's like it knows when i have to urgently print something. it randomly decides if it wants to work wirelessly or not. and scanning wirelessly? forget about it! when you first turn it on it will play an endless symphony of sounds that are simply there to fool you into thinking that it might actually do what it's designed to do. don't be fooled. this thing is evil incarnate." the winner of the auction was kornholio, with a winning bid of $280 ($1 reserve price)
[ header: \| country \| builder \| location \| ship \| class / type row 1 : 6 march \| united states \| john roach and son \| chester, pennsylvania \| city of rio de janeiro \| passenger ship row 2 : 13 may \| germany \| kaiserliche werft wil \| wilhelmshaven \| bayern \| sachsen-class ironclad row 3 : 13 june \| united kingdom \| royal dockyard \| devonport, devon \| pegasus \| doterel-class sloop row 4 : 31 august \| united kingdom \| royal dockyard \| sheerness \| gannet \| doterel-class sloop row 5 : 23 october \| norway \| karljohansverns ver \| horten \| nor \| vale-class gunboat row 6 : 1 november \| norway \| karljohansverns ver \| horten \| brage \| vale-class gunboat row 7 : 9 november \| germany \| a. g. vulcan \| stettin \| wurttemberg \| sachsen-class ironclad ] Execute this SQL based on the above table: select builder where id = ( select id where builder = 'karljohansverns verft' ) - 1	royal dockyard
[ header: outcome \| year \| championship \| surface \| opponent \| score row 1 : runner-up \| 2002 \| canada (toronto) (1) \| hard \| guillermo canas \| 4-6, 5-7 row 2 : winner \| 2003 \| montreal \| hard \| david nalbandian \| 6-1, 6-3 row 3 : winner \| 2003 \| cincinnati \| hard \| mardy fish \| 4-6, 7-6(7-3), 7 row 4 : winner \| 2004 \| miami \| hard \| guillermo coria \| 6-7(2-7), 6-3, 6 row 5 : runner-up \| 2004 \| toronto (2) \| hard \| roger federer \| 5-7, 3-6 row 6 : runner-up \| 2005 \| cincinnati \| hard \| roger federer \| 3-6, 5-7 row 7 : winner \| 2006 \| cincinnati (2) \| hard \| juan carlos ferrero \| 6-3, 6-4 row 8 : runner-up \| 2010 \| indian wells \| hard \| ivan ljubicic \| 6-7(3-7), 6-7(5-7 row 9 : winner \| 2010 \| miami (2) \| hard \| tomas berdych \| 7-5, 6-4 ] Execute this SQL based on the above table: select score order by id desc limit 1	7-5, 6-4
[ header: name \| lifetime \| nationality \| notable as \| notes row 1 : peter fallico \| b. ? \| canadian \| interior designer, television personality \| g row 2 : sam falson \| b. 1982 \| american \| singer \| g row 3 : rotimi fani-kayode \| 1955-1989 \| nigerian \| photographer \| g row 4 : gareth farr \| b. 1968 \| new zealander \| contemporary classical composer, drag performer \| g row 5 : james fenton \| b. 1949 \| english \| writer, academic \| g row 6 : lynne fernie \| b. 1946 \| canadian \| filmmaker \| l row 7 : mark ferrandino \| b. 1977 \| american \| politician \| g row 8 : frank ferri \| b. 1954 \| american \| politician \| g row 9 : patricia field \| b. 1941 \| american \| costume designer, stylist \| l row 10 : harvey fierstein \| b. 1952 \| american \| actor \| g row 11 : william p. fitzpatrick \| b. ? \| american \| politician \| g row 12 : rosanna flamer-caldera \| b. ? \| sri lankan \| activist \| l row 13 : gustave flaubert \| 1821-1880 \| french \| author \| b row 14 : kate fleming \| 1965-2006 \| american \| audio book narrator and producer \| l row 15 : elizabeth gurley fly \| 1890-1964 \| american \| activist \| b row 16 : waawaate fobister \| b. 1984 \| canadian \| writer, actor \| g row 17 : mark foley \| b. 1954 \| american \| u.s. representative (r-f \| g row 18 : e. m. forster \| 1879-1970 \| british \| writer \| g row 19 : jackie forster \| 1926-1998 \| english \| actor, activist \| l row 20 : wolfgang fortner \| 1907-1987 \| german \| classical composer and conductor \| g row 21 : pim fortuyn \| 1948-2002 \| dutch \| politician, academic and sociologist \| g row 22 : per-kristian foss \| b. 1950 \| norwegian \| politician, first openly gay minister in norway \| g row 23 : michel foucault \| 1926-1984 \| french \| philosopher, historian \| b row 24 : virgil fox \| 1912-1980 \| american \| classical musician \| g row 25 : david france \| b. ? \| american \| journalist, filmmaker \| g row 26 : kay francis \| 1905-1968 \| american \| actor \| b row 27 : margo frasier \| b. ? \| american \| first openly lesbian sheriff elected to office \| l row 28 : marcia freedman \| b. 1938 \| israeli-american \| activist \| l row 29 : elsa von freytag-lor \| 1874-1927 \| german-american \| artist, poet \| b row 30 : benedict friedlander \| 1866-1908 \| german \| early gay rights activist, author \| g row 31 : adrian fulford \| b. 1953 \| british \| judge \| g row 32 : bryan fuller \| b. 1969 \| american \| tv writer \| g row 33 : wes funk \| b. ? \| canadian \| writer \| g row 34 : sia furler \| b. 1975 \| australian \| pop singer \| b ] Execute this SQL based on the above table: select count ( * ) where notable as = 'philosopher, historian' and nationality = 'american'	0
[ header: year \| best \| location \| date \| world rank row 1 : 2012 \| 27:02.59 \| birmingham \| 22 june \| 3rd row 2 : 2011 \| 26:43.16 \| brussels \| 16 september \| 1st row 3 : 2009 \| 26:46.31 \| berlin \| 17 august \| 1st row 4 : 2008 \| 26:25.97 \| eugene, oregon \| 8 june \| 1st row 5 : 2007 \| 26:46.19 \| brussels \| 14 september \| 1st row 6 : 2005 \| 26:17.53 \| brussels \| 26 august \| 1st row 7 : 2004 \| 26:20.31 \| ostrava \| 8 june \| 1st row 8 : 2003 \| 26:49.57 \| paris \| 25 august \| 4th ] Execute this SQL based on the above table: select date where world rank = '3rd'	22 june
[ header: rank \| name \| nationality \| time row 1 : None \| sule utura \| ethiopia \| 15:38.70 row 2 : None \| emebet anteneh men \| ethiopia \| 15:40.13 row 3 : None \| pauline korikwiang \| kenya \| 15:40.93 row 4 : 4 \| hyvin jepkemoi \| kenya \| 15:42.64 row 5 : 5 \| esther ndiema \| kenya \| 15:43.48 row 6 : 6 \| goytetom gebresil \| ethiopia \| 15:49.90 row 7 : 7 \| angeline myiramsabimana \| rwanda \| 16:24.04 row 8 : 8 \| mekdes weldu \| eritrea \| 16:42.69 row 9 : 9 \| thandiwe nyathy \| zimbabwe \| 17:13.00 ] Execute this SQL based on the above table: select count ( name )	9
[ 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 order by 6 mar desc limit 1	vavuniya
[ header: kilometers \| name \| location \| intersecting routes row 1 : 0 \| mahanayim junction \| mahanayim, near hatz \| highway 90 (israel) row 2 : 7 \| gadot junction \| gadot \| route 918 row 3 : 12 \| customs house junction \| customs office \| route 888 row 4 : 15 \| nashot junction \| northwest of katzrin \| route 9088 row 5 : 21 \| None \| golan heights \| petroleum road row 6 : 22 \| hashiryon junction \| golan heights \| route 978 row 7 : 23 \| shipon junction \| shipon (spelt) mountain \| route 9099 row 8 : 27 \| avital junction \| mount avital \| route 9881 row 9 : 28 \| zivan junction \| ein zivan \| highway 98 (israel) ] Execute this SQL based on the above table: select location where location in ( 'mount avital' , 'ein zivan' ) order by kilometers limit 1	mount avital
[ header: from \| to \| name \| party \| position row 1 : 1870 \| 1897 \| eugene bernain \| None \| None row 2 : 1897 \| None \| albert le barillier \| None \| None row 3 : 1935 \| 1937 \| daubin \| None \| doctor row 4 : 1937 \| 1941 \| francois dommain \| radical \| None row 5 : 1971 \| 1993 \| victor mendiboure \| udf \| None row 6 : 1993 \| 1999 \| michel bonnet \| udf \| None row 7 : 1999 \| 2001 \| alain lamassoure \| udf \| vice president of the udf advisor to row 8 : 2001 \| 2008 \| robert villenave \| udf ps \| vice-president of cabab vice-p ] Execute this SQL based on the above table: select abs ( ( select to where name = 'michel bonnet' ) - ( select to where name = 'michel bonnet' ) )	0
[ header: season \| network \| play-by-play \| color commentator(s) \| sideline reporter(s) row 1 : 1969 \| cbs \| jack whitaker \| frank gifford and don per \| None row 2 : 1968 \| cbs \| ray scott \| paul christman \| frank glieber row 3 : 1967 \| cbs \| frank glieber \| frank gifford \| None row 4 : 1966 \| cbs \| chuck thompson \| tom brookshier \| None row 5 : 1965 \| cbs \| frank glieber (first half \| pat summerall \| None row 6 : 1964 \| cbs \| jack drees (first half \| frank gifford \| None row 7 : 1963 \| cbs \| ray scott (first half) and \| frank gifford \| None row 8 : 1962 \| cbs \| chris schenkel (first half \| warren lahr \| None row 9 : 1961 \| cbs \| chris schenkel (first half \| johnny lujack \| None ] Execute this SQL based on the above table: select network group by network order by count ( sideline reporter(s) ) desc limit 1	cbs
[ header: no. \| train no: \| origin \| destination \| train name row 1 : 1 \| 56654 \| mangalore central \| kozhikode \| passenger row 2 : 2 \| 56324 \| mangalore central \| coimbatore city junction \| fast passenger row 3 : 3 \| 56656 \| mangalore central \| kannur \| passenger row 4 : 4 \| 56643/56645 \| mangalore central \| kabakaputtur \| passenger row 5 : 5 \| 56640 \| mangalore central \| verna \| passenger row 6 : 6 \| 56647 \| mangalore central \| subrahmanya road \| passenger row 7 : 7 \| 56661 \| mangalore central \| cheruvathur \| passenger row 8 : 8 \| 70106 \| mangalore central \| bhatkal \| demu ] Execute this SQL based on the above table: select destination where train name = 'demu' order by no. asc limit 1213	bhatkal
[ header: party \| candidate(s) \| votes \| percentage row 1 : uup \| peter weir alan m \| 9270 \| 25.6 row 2 : uk unionist \| robert mccartney \| 7579 \| 20.9 row 3 : dup \| st clair mcalister rub \| 6699 \| 18.5 row 4 : alliance \| oliver napier brian wil \| 6186 \| 17.1 row 5 : sdlp \| owen adams john bur \| 1798 \| 5 row 6 : pup \| victor ash samuel \| 1694 \| 4.7 row 7 : ulster democratic \| james mccullough \| 651 \| 1.8 row 8 : ni women's coalition \| emma mcguigan an \| 496 \| 1.4 row 9 : conservative \| ann thompson bruce \| 444 \| 1.2 row 10 : independent chambers \| alan chambers james arbut \| 334 \| 0.9 row 11 : green (ni) \| paddy mcevoy mary ring \| 283 \| 0.8 row 12 : sinn fein \| mairtin o mulleoir \| 275 \| 0.8 row 13 : labour coalition \| john magennis sean m \| 171 \| 0.5 row 14 : independent dup \| thomas o'brien will \| 97 \| 0.3 row 15 : democratic left \| daryl armitage tim davis \| 95 \| 0.3 row 16 : workers' party \| dessie o'hagan colum \| 60 \| 0.2 row 17 : ulster independence \| geoffrey watson glenn \| 49 \| 0.1 row 18 : independent voice \| christopher carter fidelm \| 49 \| 0.1 row 19 : natural law \| peter mcgowan tho \| 15 \| 0 ] Execute this SQL based on the above table: select party group by party order by count ( * ) asc limit 1	alliance
[ header: pick \| player \| team \| position \| school row 1 : 1 \| ben mcdonald \| baltimore orioles \| rhp \| louisiana state university row 2 : 2 \| tyler houston \| atlanta braves \| c \| valley hs (las vegas row 3 : 3 \| roger salkeld \| seattle mariners \| rhp \| saugus (ca) hs row 4 : 4 \| jeff jackson \| philadelphia phillies \| of \| simeon hs (chicago row 5 : 5 \| donald harris \| texas rangers \| of \| texas tech university row 6 : 6 \| paul coleman \| saint louis cardinals \| of \| frankston (tx) h row 7 : 7 \| frank thomas \| chicago white sox \| 1b \| auburn university row 8 : 8 \| earl cunningham \| chicago cubs \| of \| lancaster (sc) hs row 9 : 9 \| kyle abbott \| california angels \| lhp \| long beach state university row 10 : 10 \| charles johnson \| montreal expos \| c \| westwood hs (fort pier row 11 : 11 \| calvin murray \| cleveland indians \| 3b \| w.t. white high school (d row 12 : 12 \| jeff juden \| houston astros \| rhp \| salem (ma) hs row 13 : 13 \| brent mayne \| kansas city royals \| c \| cal state fullerton row 14 : 14 \| steve hosey \| san francisco giants \| of \| fresno state university row 15 : 15 \| kiki jones \| los angeles dodgers \| rhp \| hillsborough hs (tampa, row 16 : 16 \| greg blosser \| boston red sox \| of \| sarasota (fl row 17 : 17 \| cal eldred \| milwaukee brewers \| rhp \| university of iowa row 18 : 18 \| willie greene \| pittsburgh pirates \| ss \| jones county hs (gray row 19 : 19 \| eddie zosky \| toronto blue jays \| ss \| fresno state university row 20 : 20 \| scott bryant \| cincinnati reds \| of \| university of texas row 21 : 21 \| greg gohr \| detroit tigers \| rhp \| santa clara university row 22 : 22 \| tom goodwin \| los angeles dodgers \| of \| fresno state university row 23 : 23 \| mo vaughn \| boston red sox \| 1b \| seton hall university row 24 : 24 \| alan zinter \| new york mets \| c \| university of arizona row 25 : 25 \| chuck knoblauch \| minnesota twins \| 2b \| texas a&m university row 26 : 26 \| scott burrell \| seattle mariners \| rhp \| hamden (ct) hs ] Execute this SQL based on the above table: select position where position = 'c'	c, c, c, c
[ header: outcome \| no. \| date \| championship \| surface \| opponent in the final \| score in the final row 1 : winner \| 1 \| 20 july 1981 \| bastad, sweden \| clay \| anders jarryd \| 6-2, 6-3 row 2 : runner-up \| 1 \| 21 september 1981 \| bordeaux, france \| clay \| andres gomez \| 6-7, 6-7, 1-6 row 3 : winner \| 2 \| 10 june 1985 \| bologna, italy \| clay \| claudio panatta \| 6-2, 6-0 row 4 : winner \| 3 \| 9 september 1985 \| palermo, italy \| clay \| joakim nystrom \| 6-2, 6-0 row 5 : winner \| 4 \| 23 september 1985 \| barcelona, spain \| clay \| mats wilander \| 0-6, 6-2, 3-6, row 6 : winner \| 5 \| 10 february 1986 \| metz, france \| indoor \| broderick dyke \| 6-4, 6-3 row 7 : runner-up \| 2 \| 28 april 1986 \| indianapolis, u.s \| clay \| andres gomez \| 4-6, 6-7(1-7) row 8 : runner-up \| 3 \| 28 july 1986 \| washington, d.c., \| clay \| karel novacek \| 1-6, 6-7(4-7) row 9 : runner-up \| 4 \| 8 september 1986 \| geneva, switzerland \| clay \| henri leconte \| 5-7, 3-6 ] Execute this SQL based on the above table: select date where score in the final = '6-2, 6-3' order by no. desc limit 1	20 july 1981
[ header: region \| date \| label \| format \| catalog row 1 : united kingdom \| june 10, 1985 \| i.r.s \| vinyl lp \| mirf1003 row 2 : united states \| june 11, 1985 \| i.r.s \| lp \| irs-5592 row 3 : united states \| june 11, 1985 \| i.r.s \| cassette tape \| irsc-5592 row 4 : united states \| june 11, 1985 \| i.r.s \| compact disc \| irsd-5592 row 5 : greece \| 1985 \| illegal \| lp \| 26525 row 6 : australia \| 1985 \| i.r.s./epic \| lp \| elps 4495 row 7 : the netherlands \| 1985 \| i.r.s \| lp \| 26525 row 8 : worldwide \| 1990 \| mca \| compact disc \| 5592 row 9 : worldwide \| 1990 \| i.r.s \| cassette tape \| irsc-5592 row 10 : the netherlands \| august 6, 1992 \| emi \| compact disc \| 7 13160 2 9 row 11 : united kingdom \| 1992 \| simply vinyl \| 180-gram vinyl lp \| svlp151 row 12 : worldwide \| 1998 \| capitol \| compact disc \| 93479 row 13 : europe \| 1998 \| emi \| compact disc \| 13160 row 14 : worldwide \| 1999 \| i.r.s \| compact disc \| 19016 row 15 : united states \| 1999 \| simply vinyl \| lp \| 151 row 16 : europe \| 2000 \| i.r.s \| compact disc \| 7131602 ] Execute this SQL based on the above table: select count ( date ) where region = 'the netherlands'	2
[ header: name \| red vs. blue \| couples team \| status \| weight \| total votes row 1 : valerica marin 47, bucha \| none \| None \| eliminated week 1 \| 142 kg \| 0 row 2 : tatiana musat 25, buch \| none \| None \| eliminated week 1 \| 150 kg \| 0 row 3 : gige state 47, bucharest \| none \| None \| eliminated week 1 \| 200 kg \| 0 row 4 : alex ionescu returned week 5 \| none \| None \| eliminated week 1 \| 196 kg \| 0 row 5 : catalin chiriac 23, \| blue team \| None \| 1st voted out week 1 \| 146, 4 kg \| 6 row 6 : dana mocanu 34, plo \| red team \| None \| 2nd voted out week 2 \| 111, 5 kg \| 6 row 7 : daniela gheorghe \| red team \| None \| 3rd voted out week 3 \| 112, 8 kg \| 5 row 8 : alexandra patrascu 37, \| red team \| None \| eliminated week 4 \| 118, 4 kg \| 0 row 9 : mihai florescu 35, bucha \| red team \| None \| 4th voted out week 4 \| 175, 8 kg \| 0 row 10 : alexandru briscu 26, \| blue team \| gray team \| 5th voted out week 5 \| 158, 1 kg \| 0 row 11 : daniel sulugiu \| blue team \| yellow team \| 5th voted out week 6 \| 158, 1 kg \| 0 row 12 : irina gur 39, \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 row 13 : dragos holeac 30, bucha \| blue team \| lightgreen team \| 6th voted out week7 \| 129,4 kg \| 1 ] Execute this SQL based on the above table: select red vs. blue where red vs. blue = 'red team' order by weight limit 1074	red team, red team, red team, red team
[ 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 drawn limit 1	100%
[ header: month \| jan \| feb \| mar \| apr \| may \| jun \| jul \| aug \| sep \| oct \| nov \| dec \| year row 1 : record high °f (°c) \| 76 (24) \| 80 (27) \| 89 (32) \| 98 (37) \| 111 (44) \| 111 (44) \| 114 (46) \| 111 (44) \| 112 (44) \| 104 (40) \| 87 (31) \| 78 (26) \| 114 (46) row 2 : average high °f (°c) \| 55.4 (13) \| 61.5 (16.4) \| 65.9 (18.8) \| 71.1 (21.7) \| 78.0 (25.6) \| 84.4 (29.1) \| 89.0 (31.7) \| 88.8 (31.6) \| 86.6 (30.3) \| 78.3 (25.7) \| 65.4 (18.6) \| 56.0 (13.3) \| 73.4 (23) row 3 : average low °f (°c) \| 37.6 (3.1) \| 41.1 (5.1) \| 43.3 (6.3) \| 45.8 (7.7) \| 50.3 (10.2) \| 54.0 (12.2) \| 56.0 (13.3) \| 56.0 (13.3) \| 54.5 (12.5) \| 49.8 (9.9) \| 42.7 (5.9) \| 37.9 (3.3) \| 47.4 (8.6) row 4 : record low °f (°c) \| 18 (-8) \| 24 (-4) \| 20 (-7) \| 29 (-2) \| 35 (2) \| 31 (-1) \| 40 (4) \| 40 (4) \| 39 (4) \| 32 (0) \| 21 (-6) \| 15 (-9) \| 15 (-9) row 5 : precipitation inches (mm) \| 4.77 (121.2) \| 4.04 (102.6) \| 3.09 (78.5) \| 1.39 (35.3) \| 0.55 (14) \| 0.17 (4.3) \| 0.02 (0.5) \| 0.06 (1.5) \| 0.24 (6.1) \| 1.30 (33) \| 2.75 (69.9) \| 4.30 (109.2) \| 22.68 (576.1) row 6 : avg. precipitation days (≥ \| 11 \| 10 \| 9 \| 6 \| 3 \| 1 \| 0 \| 0 \| 1 \| 3 \| 7 \| 10 \| 60 ] Execute this SQL based on the above table: select count ( month )	6
[ 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 ( select 16 feb where div sec division = 'vavuniya' ) + ( select 16 feb where div sec division = 'vavuniya' )	5658.0
[ header: year \| competition \| venue \| position \| notes row 1 : 1991 \| european junior championships \| thessaloniki, gree \| 10th \| 4.90 m row 2 : 1992 \| world junior championships \| seoul, south korea \| 1st \| 5.45 m row 3 : 1996 \| european indoor championships \| stockholm, sweden \| 14th (q) \| 5.45 m row 4 : 1996 \| olympic games \| atlanta, united states \| 23rd (q) \| 5.40 m row 5 : 1997 \| world championships \| athens, greece \| 27th (q) \| 5.30 m row 6 : 1998 \| european championships \| budapest, hungary \| 10th \| 5.40 m row 7 : 2000 \| european indoor championships \| ghent, belgium \| 13th (q) \| 5.20 m row 8 : 2001 \| universiade \| beijing, pr china \| 3rd \| 5.60 m row 9 : 2005 \| european indoor championships \| madrid, spain \| 15th (q) \| 5.40 m row 10 : 2006 \| world indoor championships \| moscow, russia \| 14th (q) \| 5.45 m row 11 : 2006 \| european championships \| gothenburg, sweden \| 8th \| 5.50 m ] Execute this SQL based on the above table: select count ( competition ) where competition != 'world championships' and year = ( select year where competition = 'world championships' )	0
[ header: year \| competition \| venue \| position \| notes row 1 : 2003 \| world youth championships \| sherbrooke, canada \| 7th \| 1.75 m row 2 : 2004 \| world junior championships \| grosseto, italy \| 9th \| 1.80 m row 3 : 2005 \| european junior championships \| kaunas, lithuania \| 4th \| 1.82 m row 4 : 2009 \| european indoor championships \| turin, italy \| 5th \| 1.92 m row 5 : 2010 \| world indoor championships \| doha, qatar \| 10th (q) \| 1.89 m row 6 : 2010 \| european championships \| barcelona, spain \| 13th (q) \| 1.90 m row 7 : 2011 \| universiade \| shenzhen, china \| 4th \| 1.86 m row 8 : 2012 \| world indoor championships \| istanbul, turkey \| 9th (q) \| 1.92 m row 9 : 2012 \| european championships \| helsinki, finland \| 3rd \| 1.92 m row 10 : 2012 \| olympic games \| london, united kingdom \| 10th \| 1.93 m row 11 : 2013 \| world championships \| moscow, russia \| 9th \| 1.93 m row 12 : 2014 \| world indoor championships \| sopot, poland \| 13th (q) \| 1.92 m ] Execute this SQL based on the above table: select ( select year where position = '9th' ) > 1359	1
[ header: code \| district \| headquarters \| population (as of 2011) \| area (km2) \| density (/km2) row 1 : al \| almora \| almora \| 621972 \| 3083 \| 202 row 2 : ba \| bageshwar \| bageshwar \| 259840 \| 2302 \| 113 row 3 : cl \| chamoli \| chamoli gopeshwar \| 391114 \| 7613 \| 51 row 4 : cp \| champawat \| champawat \| 259315 \| 1781 \| 146 row 5 : dd \| dehradun \| dehradun \| 1695860 \| 3088 \| 550 row 6 : ha \| haridwar \| haridwar \| 1927029 \| 2360 \| 817 row 7 : na \| nainital \| nainital \| 955128 \| 3860 \| 247 row 8 : pg \| pauri garhwal \| pauri \| 686572 \| 5399 \| 127 row 9 : pi \| pithoragarh \| pithoragarh \| 485993 \| 7100 \| 68 row 10 : rp \| rudra prayag \| rudraprayag \| 236857 \| 1890 \| 125 row 11 : tg \| tehri garhwal \| new tehri \| 616409 \| 4080 \| 151 row 12 : us \| udham singh nagar \| rudrapur \| 1648367 \| 2908 \| 567 row 13 : ut \| uttarkashi \| uttarkashi \| 329686 \| 8016 \| 41 ] Execute this SQL based on the above table: select count ( density (/km2) ) where area (km2) > 567 and code = 'ut'	1
[ header: date from \| date to \| pos. \| name \| from row 1 : 3 august 2012 \| 31 january 2013 \| fw \| benik afobe \| arsenal row 2 : 31 august 2012 \| 30 june 2013 \| mf \| jay spearing \| liverpool row 3 : 21 september 2012 \| 22 december 2012 \| df \| stephen warnock \| aston villa row 4 : 8 november 2012 \| 5 january 2013 \| mf \| jacob butterfield \| norwich city row 5 : 25 january 2013 \| 27 april 2013 \| df \| craig dawson \| west brom row 6 : 25 january 2013 \| january 2014 \| mf \| jan gregus \| banik ostrava row 7 : 31 january 2013 \| 3 march 2013 \| mf \| steve de ridder \| southampton row 8 : 28 march 2013 \| 30 june 2013 \| fw \| robert hall \| west ham row 9 : 28 march 2013 \| 4 may 2013 \| df \| danny butterfield \| southampton ] Execute this SQL based on the above table: select count ( * ) where name = 'craig dawson'	1
[ header: alumni chapters and clubs \| location \| founding date \| years active \| province row 1 : zeta alpha \| detroit, mi \| 1925 \| None \| beta row 2 : zeta beta \| columbus, oh \| december 14, 1926 \| None \| alpha north row 3 : zeta gamma \| cincinnati, oh \| december 14, 1926 \| None \| alpha south row 4 : zeta epsilon \| chicago, il \| may 21, 1928 \| None \| None row 5 : zeta zeta \| denver, co \| november 23, 1940 \| None \| gamma row 6 : zeta eta \| bloomington-normal, il \| december 13, 1941 \| None \| delta row 7 : zeta lambda \| baton rouge, la \| 1946 \| None \| None row 8 : zeta nu \| ann arbor, mi \| december 1948 \| None \| None row 9 : zeta xi \| oakland county, mi \| july 7, 1953 \| None \| None row 10 : zeta omicron \| akron-kent, o \| may 27, 1956 \| 1956-present \| alpha north row 11 : zeta rho \| kearney, ne \| march 7, 1959 \| None \| None row 12 : zeta tau \| st. petersburg, f \| december 10, 1960 \| None \| None row 13 : zeta upsilon \| washington, d.c \| december 18, 1961 \| None \| None row 14 : zeta chi \| dayton, oh \| february 14, 1967 \| 1967-present \| alpha south row 15 : zeta psi \| philadelphia, pa \| june 4, 1967 \| None \| None row 16 : zeta omega \| spartanburg-greenville, \| april 12, 1969 \| None \| None row 17 : eta alpha \| pueblo, co \| may 25, 1969 \| None \| None row 18 : eta beta \| brownwood, tx \| november 14, 1969 \| None \| None row 19 : eta gamma \| ft. collins, co \| march 7, 1970 \| None \| None row 20 : eta epsilon \| atlanta, ga \| february 23, 1971 \| None \| None row 21 : eta zeta \| buffalo, ny \| may 2, 1971 \| None \| None row 22 : eta theta \| dallas, tx \| november 9, 1975 \| None \| None row 23 : eta iota \| huntsville, al \| september 24, 1978 \| None \| None row 24 : eta kappa \| phoenix, az \| january 26, 1980 \| None \| None row 25 : eta lambda \| lithonia, ga \| may 18, 2003 \| 2004-2011 \| iota row 26 : eta mu \| atlanta, ga \| july 18, 2004 \| 2004-2011 \| iota row 27 : champaign-urbana alumni club \| chambaign-urbana, il \| None \| None \| delta row 28 : lincoln alumni club \| lincoln, ne \| None \| None \| theta row 29 : kearney alumni club \| kearney, ne \| None \| None \| theta row 30 : atlanta alumni club \| atlanta, ga \| None \| None \| iota row 31 : middle tennessee alumni club \| murfreesboro, tn \| 2013 \| 2013-present \| zeta west ] Execute this SQL based on the above table: select count ( alumni chapters and clubs ) where alumni chapters and clubs != 'zeta epsilon' and alumni chapters and clubs = 2	0
[ header: member \| party \| electorate \| state \| first elected row 1 : charles adermann \| country \| fisher \| qld \| 1943 row 2 : hon howard beale \| liberal \| parramatta \| nsw \| 1946 row 3 : doug berry \| liberal \| griffith \| qld \| 1949 row 4 : francis bland \| liberal \| warringah \| nsw \| 1951 row 5 : wilfred brimblecomb \| country \| maranoa \| qld \| 1951 row 6 : geoffrey brown \| liberal \| mcmillan \| vic \| 1949 row 7 : hon cyril chambers \| alp \| adelaide \| sa \| 1943 row 8 : joe clark \| alp \| darling \| nsw \| 1934 row 9 : fred daly \| alp \| grayndler \| nsw \| 1943 row 10 : billy davies \| alp \| cunningham \| nsw \| 1949 row 11 : jim eggins \| country \| lyne \| nsw \| 1949 row 12 : bill graham \| liberal \| st george \| nsw \| 1949 row 13 : bill grayden \| liberal \| swan \| wa \| 1949 row 14 : jo gullett \| liberal \| henty \| vic \| 1946 row 15 : jim harrison \| alp \| blaxland \| nsw \| 1949 row 16 : john howse \| liberal \| calare \| nsw \| 1946 row 17 : hon herbert johnson \| alp \| kalgoorlie \| wa \| 1940 row 18 : hugh leslie \| liberal \| moore \| wa \| 1949 row 19 : tony luchetti \| alp \| macquarie \| nsw \| 1951 row 20 : aubrey luck \| liberal \| darwin \| tas \| 1951 row 21 : philip lucock \| country \| lyne \| nsw \| 1953 row 22 : rt hon john mce \| country \| murray \| vic \| 1934 row 23 : john mcleay \| liberal \| boothby \| sa \| 1949 row 24 : hon william mcma \| liberal \| lowe \| nsw \| 1949 row 25 : william o'connor \| alp \| martin \| nsw \| 1946 row 26 : hubert opperman \| liberal \| corio \| vic \| 1949 row 27 : rt hon sir earle \| country \| cowper \| nsw \| 1919 row 28 : rupert ryan \| liberal \| flinders \| vic \| 1940 row 29 : winton turnbull \| country \| mallee \| vic \| 1946 row 30 : thomas white \| liberal \| balaclava \| vic \| 1929 ] Execute this SQL based on the above table: select state group by state order by count ( * ) desc limit 1	nsw
[ header: # \| date \| opponent \| score \| result \| competition row 1 : 1 \| 1988 \| indonesia \| 4-0 \| won \| 1988 afc u-17 championship group row 2 : 2 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 3 : 3 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 4 : 4 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 5 : 5 \| 1988 \| south korea \| 6-1 \| won \| 1988 afc u-17 championship group row 6 : 6 \| 1988 \| iraq \| 2-1 \| won \| 1988 afc u-17 championship semifinal row 7 : 7 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 8 : 8 \| 1988 \| bahrain \| 2-0 \| won \| 1988 afc u-17 championship final row 9 : 9 \| june 12, 1989 \| guinea \| 2-2 \| draw \| 1989 fifa u-16 world championship group row 10 : 10 \| june 12, 1989 \| colombia \| 1-0 \| won \| 1989 fifa u-16 world championship group row 11 : 11 \| june 12, 1989 \| bahrain \| 1-0 \| won \| 1989 fifa u-16 world championship semifinal row 12 : 12 \| february 22, 1989 \| portugal \| 3-0 \| won \| 1989 fifa world youth championship group stages row 13 : 13 \| 1989 \| kuwait \| 1-0 \| won \| 1989 palestine cup of nations for youth group row 14 : 14 \| 1989 \| bahrain \| 1-1(4-3) \| lost \| 1989 palestine cup of nations for youth third ] Execute this SQL based on the above table: select date where result = 'won' order by # desc limit 1	1989
[ header: date \| opponent \| venue \| result row 1 : 28 aug \| burnley \| a \| 3 - 4 row 2 : 30 aug \| leeds united \| a \| 0 - 0 row 3 : 4 sep \| west bromwich albion \| h \| 1 - 1 row 4 : 6 sep \| leeds united \| h \| 3 - 1 row 5 : 11 sep \| aston villa \| h \| 2 - 3 row 6 : 18 sep \| bolton wanderers \| a \| 0 - 2 row 7 : 20 sep \| newcastle united \| h \| 1 - 1 row 8 : 25 sep \| manchester united \| h \| 0 - 2 row 9 : 2 oct \| derby county \| a \| 3 - 6 row 10 : 9 oct \| sheffield united \| h \| 3 - 0 row 11 : 16 oct \| huddersfield town \| a \| 0 - 0 row 12 : 23 oct \| sunderland \| h \| 3 - 0 row 13 : 30 oct \| bury \| a \| 3 - 2 row 14 : 6 nov \| birmingham city \| h \| 1 - 0 row 15 : 13 nov \| tottenham hotspur \| a \| 1 - 4 row 16 : 20 nov \| west ham united \| h \| 1 - 2 row 17 : 29 nov \| sheffield wednesday \| a \| 0 - 3 row 18 : 4 dec \| leicester city \| h \| 0 - 1 row 19 : 11 dec \| everton \| a \| 1 - 0 row 20 : 18 dec \| blackburn rovers \| h \| 0 - 1 row 21 : 25 dec \| newcastle united \| a \| 0 - 5 row 22 : 27 dec \| arsenal \| h \| 2 - 0 row 23 : 1 jan \| arsenal \| a \| 2 - 3 row 24 : 15 jan \| burnley \| h \| 0 - 0 row 25 : 31 jan \| aston villa \| a \| 0 - 0 row 26 : 5 feb \| bolton wanderers \| h \| 1 - 0 row 27 : 12 feb \| manchester united \| a \| 1 - 1 row 28 : 21 feb \| west bromwich albion \| a \| 2 - 1 row 29 : 26 feb \| sheffield united \| a \| 1 - 3 row 30 : 12 mar \| sunderland \| a \| 2 - 2 row 31 : 16 mar \| derby county \| h \| 2 - 0 row 32 : 19 mar \| bury \| h \| 2 - 1 row 33 : 21 mar \| huddersfield town \| h \| 2 - 0 row 34 : 2 apr \| tottenham hotspur \| h \| 1 - 2 row 35 : 7 apr \| leicester city \| a \| 1 - 3 row 36 : 9 apr \| west ham united \| a \| 2 - 2 row 37 : 15 apr \| liverpool \| a \| 0 - 5 row 38 : 16 apr \| sheffield wednesday \| h \| 3 - 2 row 39 : 18 apr \| liverpool \| h \| 2 - 0 row 40 : 27 apr \| birmingham city \| a \| 2 - 1 row 41 : 30 apr \| everton \| h \| 1 - 0 row 42 : 7 may \| blackburn rovers \| a \| 0 - 1 ] Execute this SQL based on the above table: select count ( result ) where result is null	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 pos where id = ( select id where pos = 'ret' ) - 1	13
[ header: # \| player \| country \| score \| to par \| money ($) row 1 : 1 \| louise suggs \| united states \| 78-75-75-74=302 \| +14 \| 900 row 2 : 2 \| patty berg \| united states \| 79-77-73-74=303 \| +15 \| 675 row 3 : t3 \| betsy rawls \| united states \| 79-75-72-80=306 \| +18 \| 445 row 4 : t3 \| mickey wright \| united states \| 80-79-74-73=306 \| +18 \| 445 row 5 : 5 \| betty jameson \| united states \| 80-74-77-78=309 \| +21 \| 405 row 6 : t6 \| mary lena faulk \| united states \| 82-79-74-76=3 \| +23 \| 338 row 7 : t6 \| beverly hanson \| united states \| 84-75-75-77=311 \| +23 \| 338 row 8 : t8 \| fay crocker \| uruguay \| 92-70-76-75=3 \| +25 \| 248 row 9 : t8 \| marlene hagge \| united states \| 78-80-79-76=3 \| +25 \| 248 row 10 : t10 \| vonnie colby \| united states \| 80-79-78-78=315 \| +27 \| 113 row 11 : t10 \| joyce ziske \| united states \| 83-82-77-73=3 \| +27 \| 113 ] Execute this SQL based on the above table: select to par order by # limit 1	14.0
[ header: name \| nationality \| matches played \| goals scored \| notes row 1 : adrian caceres \| australia \| 42 \| 6 \| None row 2 : andrew nabbout \| australia \| 21 \| 4 \| None row 3 : andrew vlahos \| australia \| 18 \| 0 \| None row 4 : antun kovacic \| australia \| 2 \| 0 \| None row 5 : archie thompson \| australia \| 160 \| 69 \| melbourne's first ever signing first dual row 6 : billy celeski \| australia \| 91 \| 2 \| None row 7 : carl recchia \| australia \| 12 \| 0 \| None row 8 : carlos hernandez \| costa rica \| 121 \| 36 \| first costa rican to play for row 9 : christopher cristaldo \| australia \| 3 \| 1 \| None row 10 : diogo ferreira \| australia \| 52 \| 2 \| None row 11 : dylan murnane \| australia \| 2 \| 0 \| None row 12 : eugene galekovic \| australia \| 15 \| 0 \| None row 13 : evan berger \| australia \| 43 \| 0 \| None row 14 : fred carreiro \| brazil \| 20 \| 4 \| first brazilian to play for melbourne row 15 : geoff kellaway \| wales \| 9 \| 0 \| first welsh to play for mel row 16 : geoffrey claeys \| belgium \| 16 \| 0 \| first belgian to play for melbourne row 17 : isaka cernak \| australia \| 21 \| 2 \| None row 18 : james jeggo \| australia \| 19 \| 1 \| None row 19 : jason geria \| australia \| 4 \| 0 \| None row 20 : jonathan bru \| mauritius \| 19 \| 0 \| first mauritian to play for melbourne row 21 : joe keenan \| england \| 12 \| 0 \| None row 22 : kaz patafta \| australia \| 14 \| 1 \| None row 23 : kosta barbarouses \| new zealand \| 0 \| 0 \| None row 24 : lawrence thomas \| australia \| 4 \| 0 \| None row 25 : leandro love \| brazil \| 15 \| 0 \| None row 26 : luke o'dea \| australia \| 2 \| 0 \| None row 27 : marcos flores \| argentina \| 24 \| 4 \| first argentine to play for melbourne row 28 : mark byrnes \| australia \| 19 \| 1 \| None row 29 : mark milligan \| australia \| 32 \| 10 \| club captain 2013- row 30 : marvin angulo \| costa rica \| 36 \| 0 \| None row 31 : matthew spiranovic \| australia \| 1 \| 0 \| None row 32 : michael ferrante \| australia \| 26 \| 1 \| None row 33 : mitchell langerak \| australia \| 21 \| 0 \| None row 34 : nick ward \| australia \| 46 \| 5 \| None row 35 : ramazan tavsanc \| australia \| 4 \| 0 \| None row 36 : richard kitzbichler \| austria \| 18 \| 5 \| first austrian to play for melbourne row 37 : ricky diaco \| australia \| 13 \| 1 \| None row 38 : robbie kruse \| australia \| 39 \| 16 \| None row 39 : rodrigo vargas \| australia \| 139 \| 7 \| None row 40 : sam gallagher \| australia \| 2 \| 0 \| None row 41 : scott galloway \| australia \| 11 \| 0 \| None row 42 : sebastian ryall \| australia \| 24 \| 0 \| None row 43 : simon storey \| australia \| 32 \| 0 \| None ] Execute this SQL based on the above table: select avg ( matches played ) where name = 'archie thompson'	160.0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 2 : 1 \| russia (rus) \| 2 \| 0 \| 0 \| 2 row 3 : 3 \| great britain (gbr) \| 1 \| 0 \| 0 \| 1 row 4 : 4 \| slovakia (svk) \| 0 \| 2 \| 2 \| 4 row 5 : 5 \| china (chn) \| 0 \| 2 \| 1 \| 3 row 6 : 6 \| mexico (mex) \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| germany (ger) \| 0 \| 0 \| 2 \| 2 row 8 : 8 \| south korea (kor) \| 0 \| 0 \| 1 \| 1 row 9 : 8 \| switzerland (sui) \| 0 \| 0 \| 1 \| 1 row 10 : 8 \| thailand (tha) \| 0 \| 0 \| 1 \| 1 row 11 : 8 \| uzbekistan (uzb \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select count ( * )	11
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 7 \| 6 \| 1 \| 14 row 2 : 2 \| china \| 5 \| 5 \| 2 \| 12 row 3 : 3 \| japan \| 3 \| 1 \| 5 \| 9 row 4 : 4 \| hong kong \| 2 \| 3 \| 5 \| 10 row 5 : 5 \| chinese taipei \| 2 \| 0 \| 0 \| 2 row 6 : 6 \| iran \| 1 \| 3 \| 2 \| 6 row 7 : 7 \| thailand \| 1 \| 2 \| 3 \| 6 row 8 : 8 \| malaysia \| 1 \| 1 \| 5 \| 7 row 9 : 9 \| kyrgyzstan \| 1 \| 0 \| 0 \| 1 row 10 : 10 \| kazakhstan \| 0 \| 1 \| 0 \| 1 row 11 : 10 \| uzbekistan \| 0 \| 1 \| 0 \| 1 row 12 : total \| total \| 23 \| 23 \| 23 \| 69 ] Execute this SQL based on the above table: select nation where nation in ( 'kyrgyzstan' , 'total' ) order by rank asc limit 1	total
[ header: team \| location \| home ground \| first year in qld cup \| last year in qld cup \| qld cup premierships row 1 : aspley broncos \| brisbane \| bishop park \| 2007 \| 2007 \| nil row 2 : brothers-valleys \| brisbane \| o'callaghan park \| 2004 \| 2004 \| nil row 3 : bundaberg grizzlies \| bundaberg \| salter oval \| 1996 \| 1998 \| nil row 4 : cairns cyclones \| cairns \| barlow park \| 1996 \| 2000 \| nil row 5 : central capras \| rockhampton \| browne park \| 1996 \| 1997 \| nil row 6 : gold coast vikings \| gold coast \| owen park and carrara stadium \| 1998 \| 1998 \| nil row 7 : logan scorpions \| logan city \| meakin park \| 1996 \| 2002 \| nil row 8 : mackay sea eagles \| mackay \| mackay junior rugby league ground \| 1996 \| 1996 \| nil row 9 : north queensland young guns \| townsville \| dairy farmers stadium \| 2002 \| 2007 \| 2005 row 10 : past brothers \| brisbane \| corbett park, crosby park, \| 1996 \| 1998 \| nil row 11 : port moresby vipers \| port moresby \| lloyd robson oval \| 1996 \| 1997 \| nil row 12 : souths magpies \| brisbane \| davies park \| 1996 \| 2002 \| nil row 13 : sunshine coast falcons \| sunshine coast \| quad park \| 1996 \| 1996 \| nil row 14 : townsville stingers \| townsville \| dairy farmers stadium, townsville sports reserve \| 1998 \| 1998 \| nil row 15 : toowoomba clydesdales \| toowoomba \| athletic oval (clive berghofer \| 1996 \| 2006 \| 1996, 2001 row 16 : wests panthers \| brisbane \| purtell park \| 1996 \| 2003 \| nil ] Execute this SQL based on the above table: select count ( location ) where team = 'brothers-valleys'	1
[ header: year \| location \| men's individual \| women's individual \| men's team \| women's team \| mixed team \| ref row 1 : 1996 \| vaulx-en-velin \| franck dauphin (fra) \| anna campagnoli (ita \| None \| None \| None \| row 2 : 1998 \| taoyuan \| john blaschke (usa) \| shih ya-ping (t \| united states \| chinese taipei \| None \| row 3 : 2000 \| madrid \| tsai sung-pin \| jamie van natta (usa) \| united states \| united states \| None \| row 4 : 2002 \| chonburi \| adam wheatcroft (usa) \| mary zorn (usa) \| united states \| united states \| None \| row 5 : 2004 \| madrid \| choi yong-hee ( \| mary zorn (usa) \| south korea \| united states \| None \| row 6 : 2006 \| vinicne \| braden gellenthien (usa \| amandine bouillot (fr \| united states \| france \| united states \| row 7 : 2008 \| tainan \| jedd greschock (usa \| erika anschutz (usa) \| mexico \| south korea \| united states \| row 8 : 2010 \| shenzhen \| adam gallant (usa) \| vida halimian (ir \| united states \| united states \| united states \| row 9 : 2012 \| cordoba \| daniel suter (us \| kristina berger (ger) \| italy \| united states \| united states \| row 10 : 2014 \| legnica \| None \| None \| None \| None \| None \| ] Execute this SQL based on the above table: select women's individual where location = 'vaulx-en-velin'	anna campagnoli (ita)
[ header: year \| title \| role \| network \| notes row 1 : 2000 \| youth y2k 青春@y2 \| cheng shasha \| None \| None row 2 : 2001 \| the monkey king: quest for the sutra \| purple orchid \| tvb \| None row 3 : 2001 \| 藍寶石的夜空 \| shek po-yi \| tvb \| eason chan's music video row 4 : 2002 \| 一twins零一夜 \| ah sa \| tvb \| music video row 5 : 2003 \| triumph in the skies 衝上雲霄 \| charlene \| tvb \| cameo row 6 : 2003 \| all about boy'z 一起喝采 \| langlang princess \| now.com.hk \| appearance in episode 2 row 7 : 2003 \| 2半3更之困車立 \| ah sa \| now.com.hk \| None row 8 : 2003 \| 愛在陽光下 \| aids patient \| None \| music video produced to support the global anti-aid row 9 : 2004 \| kung fu soccer 功夫足球 \| None \| tvb \| guest star row 10 : 2004 \| sunshine heartbeat 赤沙印記@四葉草.2 \| ah sa \| tvb \| guest star row 11 : 2004 \| 家有寶貝 \| ah sa \| None \| guest star row 12 : 2007 \| colours of love 森之愛情 \| wai-fong / ching- \| tvb \| None row 13 : 2007 \| life off stage \| None \| None \| None row 14 : 2010 \| calling for love! 呼叫大明星 \| chen dexin \| cts \| None row 15 : 2011 \| the legend of swordman 劍俠情緣 \| tang xiaowan / n \| None \| None row 16 : 2012 \| happy marshal 歡樂元帥 \| little dragon girl (xiao long nu) \| None \| None ] Execute this SQL based on the above table: select count ( role )	14
[ header: year \| laureate \| relation \| category \| rationale row 1 : 1922 \| otto fritz meyerhof \| research professor in physiological chemistry, 1940-1951 \| physiology or medicine \| "for his discovery of the fixed relationship between the row 2 : 1955 \| vincent du vigneaud \| assistant in biochemistry, graduate school of medicine, \| chemistry \| "for his work on sulphur compounds row 3 : 1964 \| martin luther king \| graduate student, 1950-51 \| nobel peace prize \| for being "the first person in the western world row 4 : 1967 \| ragnar granit \| research fellow, 1929-1931; sc \| physiology or medicine \| "for their discoveries concerning the primary physiological and chemical row 5 : 1971 \| simon kuznets \| assistant professor of economic statistics, 1930-1934; \| economics \| "for his empirically founded interpretation of economic growth row 6 : 1985 \| michael stuart brown \| a.b., 1962; m \| physiology or medicine \| "for their discoveries concerning the regulation of cholesterol metabolism row 7 : 2000 \| alan macdiarmid \| department of chemistry, 1955- ; blanc \| chemistry \| "for their discovery and development of conductive poly row 8 : 2000 \| hideki shirakawa \| department of chemistry, post-doctoral \| chemistry \| "for their discovery and development of conductive poly row 9 : 2004 \| edward c. prescott \| assistant professor, 1967-1971 \| economics \| "for their contributions to dynamic macroeconomics: row 10 : 2006 \| edmund phelps \| professor, 1966-1971 \| economics \| "for his analysis of intertemporal tradeoff row 11 : 2009 \| george e. smith \| b.s., 1955 \| physics \| "for the invention of an imaging semiconductor circuit row 12 : 2009 \| oliver e. williamson \| professor, 1965-1983 \| economics \| "for his analysis of economic governance, especially the row 13 : 2010 \| ei'ichi negishi \| ph.d., 1963 \| chemistry \| "for palladium-catalyze row 14 : 2011 \| thomas j. sargent \| professor, 1970-1971 \| economics \| "for their empirical research on cause and effect in ] Execute this SQL based on the above table: select count ( * ) where relation = 'professor, 1970-1971'	1
[ 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 xbox 360 release date where drop(s) = '1-2'	24 january 2012
[ header: year \| title \| peak chart positions swe \| peak chart positions swi \| peak chart positions uk \| album row 1 : 2003 \| "znaj da znam" \| None \| None \| None \| naj, najbolja row 2 : 2003 \| "naj, najbolja" \| None \| None \| None \| naj, najbolja row 3 : 2003 \| "gorka cokolada" \| None \| None \| None \| bez ljubavi row 4 : 2004 \| "bol do ludila" \| None \| None \| None \| bez ljubavi row 5 : 2005 \| "ponuda" \| None \| None \| None \| ponuda cds row 6 : 2005 \| "agonija" \| None \| None \| None \| agonija cds row 7 : 2005 \| "u nedelju" \| None \| None \| None \| bez ljubavi row 8 : 2006 \| "bez ljubavi" \| None \| None \| None \| bez ljubavi row 9 : 2006 \| "101" \| None \| None \| None \| bez ljubavi row 10 : 2007 \| "molitva" \| 9 \| 19 \| 112 \| molitva cds, row 11 : 2008 \| "nisam anđeo" \| None \| None \| None \| nisam anđeo row 12 : 2009 \| "sta da zaboravim" \| None \| None \| None \| anđeo row 13 : 2010 \| "jedan vidi sve" \| None \| None \| None \| anđeo ] Execute this SQL based on the above table: select max ( year ) where title = '"101"'	2006
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 12 \| #1 michigan \| None \| camp randall stadium • madison, \| w 21-14 \| 68733 row 2 : september 19 \| #9 ucla \| #20 \| camp randall stadium • madison, \| l 13-31 \| 71496 row 3 : september 26 \| western michigan \| None \| camp randall stadium • madison, \| w 21-10 \| 67196 row 4 : october 3 \| purdue \| None \| camp randall stadium • madison, \| w 20-14 \| 68603 row 5 : october 10 \| #18 ohio state \| None \| camp randall stadium • madison, \| w 24-21 \| 78973 row 6 : october 17 \| at michigan state \| #14 \| spartan stadium • east lans \| l 14-33 \| 67352 row 7 : october 24 \| at illinois \| None \| memorial stadium • champaign, il \| l 21-23 \| 67413 row 8 : october 31 \| northwestern \| None \| camp randall stadium • madison, \| w 52-0 \| 70035 row 9 : november 7 \| at indiana \| None \| memorial stadium • bloomington, in \| w 28-7 \| 44218 row 10 : november 14 \| iowa \| None \| camp randall stadium • madison, \| l 7-17 \| 78731 row 11 : november 21 \| at minnesota \| None \| memorial stadium • minneapolis, \| w 26-21 \| 47125 row 12 : december 13 \| vs. tennessee \| None \| giants stadium • east rutherford, \| l 21-28 \| 53220 ] Execute this SQL based on the above table: select count ( opponent# )	12
[ header: date from \| date to \| pos. \| name \| from row 1 : 3 august 2012 \| 31 january 2013 \| fw \| benik afobe \| arsenal row 2 : 31 august 2012 \| 30 june 2013 \| mf \| jay spearing \| liverpool row 3 : 21 september 2012 \| 22 december 2012 \| df \| stephen warnock \| aston villa row 4 : 8 november 2012 \| 5 january 2013 \| mf \| jacob butterfield \| norwich city row 5 : 25 january 2013 \| 27 april 2013 \| df \| craig dawson \| west brom row 6 : 25 january 2013 \| january 2014 \| mf \| jan gregus \| banik ostrava row 7 : 31 january 2013 \| 3 march 2013 \| mf \| steve de ridder \| southampton row 8 : 28 march 2013 \| 30 june 2013 \| fw \| robert hall \| west ham row 9 : 28 march 2013 \| 4 may 2013 \| df \| danny butterfield \| southampton ] Execute this SQL based on the above table: select count ( * ) where pos. = 'mf'	4
[ header: no. in series \| no. in season \| title \| directed by \| written by \| original air date \| production code \| u.s. viewers (millions) row 1 : 1 \| 1 \| "pilot" \| jace alexander \| matt nix \| june 28, 2007 \| bn100 \| 4 row 2 : 2 \| 2 \| "identity" \| rod hardy \| matt nix \| july 5, 2007 \| bn101 \| 4 row 3 : 3 \| 3 \| "fight or flight" \| colin bucksey \| craig o'neill \| july 12, 2007 \| bn103 \| None row 4 : 4 \| 4 \| "old friends" \| david solomon \| alfredo barrios, jr \| july 19, 2007 \| bn102 \| None row 5 : 5 \| 5 \| "family business" \| sandy bookstaver \| matt nix \| july 26, 2007 \| bn104 \| None row 6 : 6 \| 6 \| "unpaid debts" \| paul holahan \| nick thiel \| august 2, 2007 \| bn105 \| 4.41 row 7 : 7 \| 7 \| "broken rules" \| tim matheson \| mere smith \| august 9, 2007 \| bn106 \| None row 8 : 8 \| 8 \| "wanted man" \| ken girotti \| craig o'neill \| august 16, 2007 \| bn107 \| None row 9 : 9 \| 9 \| "hard bargain" \| john kretchmer \| alfredo barrios, jr \| august 23, 2007 \| bn108 \| 4.08 row 10 : 10 \| 10 \| "false flag" \| paul shapiro \| matt nix & ben wa \| september 13, 2007 \| bn109 \| 4 row 11 : 11 \| 11 \| "dead drop" \| jeremiah chechik \| craig o'neill \| september 20, 2007 \| bn110 \| 4.8 row 12 : 12 \| 12 \| "loose ends" \| stephen surjik \| matt nix & alfred \| september 20, 2007 \| bn111 \| 4.8 ] Execute this SQL based on the above table: select directed by where no. in season = ( select no. in season where directed by = 'tim matheson' ) + 1	ken girotti
[ header: wicket \| score \| batting partners \| opposition \| venue \| year \| link row 1 : 1st \| 375 \| ra white & mj po \| gloucestershire \| northampton \| 2002 \| row 2 : 2nd \| 344 \| g cook & rj boyd \| lancashire \| northampton \| 1986 \| row 3 : 3rd \| 393 \| a fordham & aj \| yorkshire \| leeds \| 1990 \| row 4 : 4th \| 370 \| rt virgin & p wille \| somerset \| northampton \| 1976 \| row 5 : 5th \| 401 \| mb loye & d \| glamorgan \| northampton \| 1998 \| row 6 : 6th \| 376 \| r subba row & a \| surrey \| the oval \| 1958 \| row 7 : 7th \| 293 \| djg sales & d \| essex \| northampton \| 1999 \| row 8 : 8th \| 179 \| aj hall & jd middle \| surrey \| the oval \| 2011 \| row 9 : 9th \| 156 \| r subba row & s \| lancashire \| northampton \| 1955 \| row 10 : 10th \| 148 \| bw bellamy & j \| glamorgan \| northampton \| 1925 \| ] Execute this SQL based on the above table: select venue order by score desc limit 1	northampton
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| canada \| 9 \| 6 \| 5 \| 20 row 2 : 2 \| united states \| 8 \| 7 \| 8 \| 23 row 3 : 3 \| austria \| 7 \| 9 \| 8 \| 24 row 4 : 4 \| japan \| 4 \| 2 \| 1 \| 7 row 5 : 5 \| italy \| 3 \| 7 \| 4 \| 14 row 6 : 6 \| france \| 3 \| 4 \| 4 \| 11 row 7 : 7 \| australia \| 3 \| 4 \| 0 \| 7 row 8 : 8 \| norway \| 2 \| 2 \| 2 \| 6 row 9 : 9 \| slovenia \| 2 \| 1 \| 2 \| 5 row 10 : 10 \| finland \| 2 \| 1 \| 1 \| 4 row 11 : 10 \| germany \| 2 \| 1 \| 1 \| 4 row 12 : 12 \| russia \| 2 \| 0 \| 3 \| 5 row 13 : 13 \| switzerland \| 1 \| 5 \| 5 \| 11 row 14 : 14 \| china \| 1 \| 1 \| 1 \| 3 row 15 : 15 \| poland \| 1 \| 1 \| 0 \| 2 row 16 : 16 \| czech republic \| 1 \| 0 \| 1 \| 2 row 17 : 17 \| belgium \| 1 \| 0 \| 0 \| 1 row 18 : 18 \| netherlands \| 0 \| 1 \| 0 \| 1 row 19 : 19 \| spain \| 0 \| 0 \| 3 \| 3 row 20 : 20 \| bulgaria \| 0 \| 0 \| 1 \| 1 row 21 : 20 \| great britain \| 0 \| 0 \| 1 \| 1 row 22 : 20 \| sweden \| 0 \| 0 \| 1 \| 1 row 23 : total \| total \| 52 \| 52 \| 52 \| 156 ] Execute this SQL based on the above table: select nation where id = ( select id where rank = 16 and nation = 'czech republic' ) - 1	poland
[ header: no. \| race title \| track \| date \| tv row 1 : 1 \| nextera energy resources 250 \| daytona international speedway, dayt \| february 21 \| fs1 row 2 : 2 \| kroger 250 \| martinsville speedway, martin \| march 30 \| fs1 row 3 : 3 \| sfp 250 \| kansas speedway, kan \| may 9 \| fs1 row 4 : 4 \| north carolina education lottery 200 \| charlotte motor speedway, concord \| may 16 \| fs1 row 5 : 5 \| lucas oil 200 \| dover international speedway, dover \| may 30 \| fs1 row 6 : 6 \| winstar world casino 400k \| texas motor speedway, fort \| june 6 \| fs1 row 7 : 7 \| gateway 200 \| gateway motorsports park, madison, \| june 14 \| fs1 row 8 : 8 \| unoh 225 \| kentucky speedway, s \| june 26 \| fs1 row 9 : 9 \| american ethanol 200 \| iowa speedway, newton \| july 12 \| fs1 row 10 : 10 \| mudsummer classic \| eldora speedway, new weston \| july 23 \| fs1 row 11 : 11 \| pocono mountains 150 \| pocono raceway, long pond \| august 2 \| fs1 row 12 : 12 \| michigan national guard 200 \| michigan international speedway, brooklyn \| august 16 \| fs1 row 13 : 13 \| unoh 200 \| bristol motor speedway, b \| august 20 \| fs1 row 14 : 14 \| chevy silverado 250 \| canadian tire motorsport park, bowman \| august 31 \| fs1 row 15 : 15 \| enjoyillinois.com 225 \| chicagoland speedway, joliet \| september 12 \| fs1 row 16 : 16 \| unoh 175 \| new hampshire motor speedway, loud \| september 20 \| fs1 row 17 : 17 \| smith's 350 \| las vegas motor speedway, la \| september 27 \| fs1 row 18 : 18 \| fred's 250 \| talladega superspeedway, talla \| october 18 \| fox row 19 : 19 \| kroger 200 \| martinsville speedway, martin \| october 25 \| fs1 row 20 : 20 \| winstar world casino 350k \| texas motor speedway, fort \| october 31 \| fs1 row 21 : 21 \| lucas oil 150 \| phoenix international raceway, a \| november 7 \| fs1 row 22 : 22 \| ford ecoboost 200 \| homestead-miami speedway, home \| november 14 \| fs1 ] Execute this SQL based on the above table: select count ( * ) where date = 'july 23'	1
[ header: tribunal \| number of autos da fe \| executions in persona \| executions in effigie \| penanced \| total row 1 : barcelona \| 8 \| 1 \| 1 \| 15 \| 17 row 2 : logrono \| 1 \| 1 \| 0 \| 0 \| 1 row 3 : palma de mallorca \| 3 \| 0 \| 0 \| 11 \| 11 row 4 : saragossa \| 1 \| 0 \| 0 \| 3 \| 3 row 5 : valencia \| 4 \| 2 \| 0 \| 49 \| 51 row 6 : las palmas \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : cordoba \| 13 \| 17 \| 19 \| 125 \| 161 row 8 : cuenca \| 7 \| 7 \| 10 \| 35 \| 52 row 9 : santiago de compostela \| 4 \| 0 \| 0 \| 13 \| 13 row 10 : granada \| 15 \| 36 \| 47 \| 369 \| 452 row 11 : llerena \| 5 \| 1 \| 0 \| 45 \| 46 row 12 : madrid \| 4 \| 11 \| 13 \| 46 \| 70 row 13 : murcia \| 6 \| 4 \| 1 \| 106 \| 111 row 14 : seville \| 15 \| 16 \| 10 \| 220 \| 246 row 15 : toledo \| 33 \| 6 \| 14 \| 128 \| 148 row 16 : valladolid \| 10 \| 9 \| 2 \| 70 \| 81 row 17 : total \| 125 \| 111 \| 117 \| 1235 \| 1463 ] Execute this SQL based on the above table: select tribunal order by executions in effigie desc limit 1	total
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select count ( position ) where season >= 2007 and season <= 1999	0
[ header: pos. \| div. \| no. \| team \| drivers \| car \| laps \| qual. pos. row 1 : 1 \| 1 \| 11 \| perkins engineering \| larry perkins tomas mezera \| holden vl commodore \| 125 \| 2 row 2 : 2 \| 1 \| 35 \| peter jackson racing \| glenn seton colin bond \| ford sierra rs500 \| 125 \| 4 row 3 : 4 \| 1 \| 20 \| benson & hedges racing \| gary brabham david brabham \| ford sierra rs500 \| 123 \| 7 row 4 : 5 \| 1 \| 30 \| peter jackson racing \| george fury drew price \| ford sierra rs500 \| 123 \| 9 row 5 : 8 \| 1 \| 33 \| pro-duct motorsport \| bob pearson bruce stewart \| holden vl commodore \| 122 \| 16 row 6 : 11 \| 1 \| 12 \| ray lintott \| ray lintott ter \| ford sierra rs500 \| 121 \| 13 row 7 : 12 \| 1 \| 26 \| garry rogers motorsport \| garry rogers paul fordham \| holden vl commodore \| 121 \| 14 row 8 : 13 \| 1 \| 27 \| terry finnigan \| terry finnigan geoff lee \| holden vl commodore \| 120 \| 15 row 9 : 14 \| 1 \| 42 \| lusty engineering \| john lusty bernie stack \| holden vl commodore \| 119 \| 20 row 10 : 20 \| 2 \| 53 \| brian bolwell racing \| brian bolwell mike \| bmw 323i \| 111 \| 29 row 11 : 23 \| 3 \| 76 \| peter verheyen \| peter verheyen john vernon \| toyota sprinter \| 109 \| 36 row 12 : dnf \| 1 \| 17 \| shell ultra hi racing \| dick johnson john bowe \| ford sierra rs500 \| 123 \| 5 row 13 : dnf \| 3 \| 75 \| bob holden motors \| dennis rogers garry jones \| toyota corolla \| 75 \| 31 row 14 : dnf \| 1 \| 21 \| bob forbes motorsport \| mark gibbs rohan ons \| holden vl commodore \| 64 \| 8 row 15 : dnf \| 1 \| 22 \| lusty engineering \| graham lusty ken lust \| holden vl commodore \| 52 \| 21 row 16 : dnf \| 1 \| 1 \| nissan motorsport australia \| jim richards mark skaif \| nissan skyline r32 \| 51 \| 1 row 17 : dnf \| 3 \| 74 \| bob holden motors \| phil alexander keith m \| toyota corolla \| 44 \| 33 row 18 : dnf \| 1 \| 46 \| garry willmington performance \| garry willmington john bour \| toyota supra turbo \| 24 \| 18 row 19 : dnf \| 1 \| 23 \| chris lambden \| chris lambden des wall \| nissan skyline hr \| 18 \| 17 row 20 : dnf \| 3 \| 73 \| bob holden motors \| bob holden mike conway \| toyota sprinter \| 8 \| 35 ] Execute this SQL based on the above table: select drivers order by length ( pos. ) desc limit 1	dick johnson john bowe
[ header: date \| train \| location \| present location \| comments \| top speed (km/h) row 1 : 1969 / 1970 \| transrapid 01 \| munich \| deutsches museum, munich \| by krauss-maffei \| None row 2 : 6 may 1971 \| mbb prinzipfahrzeug \| mbb's otto \| None \| by mbb. first passenger-car \| 90 (1971) row 3 : 6 october 1971 \| transrapid 02 \| krauss-maffei' \| krauss-maffei, \| by krauss-maffei \| 164 (october 1971) row 4 : 1972 / 1974 ? \| erlangener erprobungstrager \| southern edge of erlangen (near nur \| None \| by siemens and others. electrodynamic suspension \| 160 / 230 (1974) ? row 5 : 20 december 1973 \| transrapid 04 \| munich - allach, west germany \| technik museum speyer \| by krauss-maffei \| 250 (end 1973), 253.2 (21 row 6 : 1974 / january 1975 \| komponentenmeßtrager (kom \| manching, west germany \| None \| by mbb. unmanned. 1 \| 401.3 (1974) row 7 : 1975 \| hmb1 \| thyssen henschel in \| None \| by thyssen henschel. \| None row 8 : 1976 \| hmb2 \| thyssen henschel in \| None \| by thyssen henschel. \| 36 (or 40 ?) row 9 : 17 may 1979 \| transrapid 05 \| international transportation exhibition (iva 79) in \| thyssenkrupp, \| 908 m track \| 75 row 10 : june 1983 \| transrapid 06 \| transrapid versuchsanlage e \| a part is in deutsches museum, \| presented to public in munich on 13 march 1983 \| 302 (1984), 355 (1985), row 11 : 1988 \| transrapid 07 \| transrapid versuchsanlage e \| munich international airport and infozentrum lathen \| presented to public at the international transportation exhibition (iva \| 436 (1989), 450 (17 jun row 12 : august 1999 \| transrapid 08 \| transrapid versuchsanlage e \| destroyed 22 september 2006 in accident \| None \| None row 13 : 2002 \| transrapid smt \| shanghai maglev train, china \| shanghai, china \| None \| 501 (12 november 2003) row 14 : 2007 \| transrapid 09 \| transrapid versuchsanlage e \| None \| None \| None ] Execute this SQL based on the above table: select count ( * ) where location = 'munich - allach, west germany'	1
[ header: # \| title \| songwriters \| producer(s) \| performer (s) row 1 : 1 \| "creative control" \| o. credle, l. bas \| organized konfusion \| o.c row 2 : 2 \| "word...life" \| o. credle, a. best \| buckwild \| o.c row 3 : 3 \| "o-zone" \| o. credle, a. best \| buckwild \| o.c row 4 : 4 \| "born 2 live" \| o. credle, a. best \| buckwild \| o.c row 5 : 5 \| "time's up" \| o. credle, a. best \| buckwild \| o.c row 6 : 6 \| "point o' viewz" \| o. credle, d. van \| buckwild, prestige \| o.c row 7 : 7 \| "constables" \| o. credle, l. bas \| organized konfusion \| o.c row 8 : 8 \| "ga head" \| o. credle, r. hall \| lord finesse \| o.c row 9 : 9 \| "no main topic" \| o. credle, g. \| dj ogee/o. \| o.c., prince po row 10 : 10 \| "let it slide" \| o. credle, a. best \| buckwild \| o.c., pharo row 11 : 11 \| "ma dukes" \| o. credle, a. best \| buckwild \| o.c row 12 : 12 \| "story" \| o. credle, g. \| dj ogee/o. \| o.c row 13 : 13 \| "outtro (sabotage) \| o. credle, a. best \| buckwild \| o.c row 14 : 14 \| "born 2 live (remix)" \| o. credle, a. best \| organized konfusion \| o.c ] Execute this SQL based on the above table: select title - 1 where # = 6	-1
[ header: rank \| name \| height ft / m \| floors \| year \| notes row 1 : 1 \| rhodes state office tower \| 629 / 192 \| 41 \| 1973 \| has been the tallest building in columbus row 2 : 2 \| leveque tower \| 555 / 169 \| 47 \| 1927 \| tallest building constructed in columbus in the row 3 : 3 \| william green building \| 530 / 162 \| 33 \| 1990 \| tallest building constructed in columbus in the row 4 : 4 \| huntington center \| 512 / 156 \| 37 \| 1984 \| tallest building constructed in columbus in the row 5 : 5 \| vern riffe state office tower \| 503 / 153 \| 32 \| 1988 \| None row 6 : 6 \| one nationwide plaza \| 485 / 148 \| 40 \| 1976 \| None row 7 : 7 \| franklin county courthouse \| 464 / 141 \| 27 \| 1991 \| None row 8 : 8 \| aep building \| 456 / 139 \| 31 \| 1983 \| None row 9 : 9 \| borden building \| 438 / 134 \| 34 \| 1974 \| None row 10 : 10 \| three nationwide plaza \| 408 / 124 \| 27 \| 1989 \| None row 11 : 11 \| one columbus center \| 366 / 112 \| 26 \| 1987 \| None row 12 : 12 \| columbus center \| 357 / 109 \| 25 \| 1964 \| tallest building constructed in columbus in the row 13 : 13 \| capitol square \| 350 / 107 \| 26 \| 1984 \| None row 14 : 14 \| continental center \| 348 / 106 \| 26 \| 1973 \| None row 15 : 15 \| pnc bank building \| 317 / 97 \| 25 \| 1977 \| None row 16 : 16 \| miranova condominiums \| 314 / 96 \| 26 \| 2001 \| tallest residential building in the state of o row 17 : 17 \| fifth third center \| 302 / 92 \| 25 \| 1998 \| None row 18 : 18 \| motorists mutual building \| 286 / 87 \| 21 \| 1973 \| None row 19 : 19 \| midland building \| 280 / 85 \| 21 \| 1970 \| None row 20 : 20 \| the condominiums at north bank park \| 267 / 81 \| 20 \| 2007 \| None row 21 : 21= \| lincoln tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 22 : 21= \| morrill tower dormitory \| 260 / 79 \| 26 \| 1967 \| None row 23 : 23 \| hyatt regency columbus \| 256 / 78 \| 20 \| 1980 \| None row 24 : 24 \| key bank building \| 253 / 77 \| 20 \| 1963 \| None row 25 : 25 \| adam's mark hotel \| 243 / 74 \| 16 \| 1961 \| None row 26 : 26 \| town center \| 226 / 69 \| 17 \| 1974 \| None row 27 : 27 \| 8 east broad street \| 212 / 64.6 \| 17 \| 1906 \| None row 28 : 28 \| huntington building \| 202 / 59.4 \| 13 \| 1926 \| None row 29 : 29 \| ohio judicial center \| 200 / 57.9 \| 14 \| 1933 \| None row 30 : 30 \| 16 east broad street \| 180 / 64.4 \| 13 \| 1900 \| None ] Execute this SQL based on the above table: select name order by rank desc limit 1	16 east broad street
[ header: pos \| no \| driver \| constructor \| laps \| time/retired \| grid \| points row 1 : 1 \| 7 \| jo bonnier \| brm \| 75 \| 2:05:26.8 \| 1 \| 8 row 2 : 2 \| 8 \| jack brabham \| cooper-climax \| 75 \| + 14.2 \| 2 \| 6 row 3 : 3 \| 9 \| masten gregory \| cooper-climax \| 75 \| + 1:23.0 \| 7 \| 4 row 4 : 4 \| 12 \| innes ireland \| lotus-climax \| 74 \| + 1 lap \| 9 \| 3 row 5 : 5 \| 1 \| jean behra \| ferrari \| 74 \| + 1 lap \| 4 \| 2 row 6 : 6 \| 3 \| phil hill \| ferrari \| 73 \| + 2 laps \| 12 \| None row 7 : 7 \| 14 \| graham hill \| lotus-climax \| 73 \| + 2 laps \| 5 \| None row 8 : 8 \| 10 \| maurice trintignant \| cooper-climax \| 73 \| + 2 laps \| 11 \| None row 9 : 9 \| 16 \| cliff allison \| ferrari \| 71 \| + 4 laps \| 15 \| None row 10 : 10 \| 15 \| carel godin de beaufort \| porsche \| 68 \| + 7 laps \| 14 \| None row 11 : ret \| 11 \| stirling moss \| cooper-climax \| 62 \| gearbox \| 3 \| 1 row 12 : ret \| 6 \| harry schell \| brm \| 46 \| gearbox \| 6 \| None row 13 : ret \| 2 \| tony brooks \| ferrari \| 42 \| oil leak \| 8 \| None row 14 : ret \| 5 \| carroll shelby \| aston martin \| 25 \| engine \| 10 \| None row 15 : ret \| 4 \| roy salvadori \| aston martin \| 3 \| engine \| 13 \| None ] Execute this SQL based on the above table: select count ( constructor ) where grid > 15	0
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| venezuela \| 7 \| 4 \| 3 \| 14 row 2 : 2 \| bolivia \| 2 \| 2 \| 2 \| 6 row 3 : 2 \| chile \| 2 \| 2 \| 2 \| 6 row 4 : 4 \| peru \| 1 \| 3 \| 3 \| 7 row 5 : 5 \| ecuador \| 1 \| 1 \| 1 \| 3 row 6 : 6 \| colombia \| 0 \| 1 \| 2 \| 3 row 7 : total \| total \| 13 \| 13 \| 13 \| 39 ] Execute this SQL based on the above table: select nation where nation = 'peru'	peru
[ header: year \| album \| territory \| label \| notes row 1 : 1989 \| good deeds and dirty rags \| uk \| capitol records \| debut album, reached no. 26 on uk row 2 : 1989 \| fish heads and tails \| uk \| capitol records \| mid-price live and rarities compilation row 3 : 1991 \| hammer and tongs \| uk \| radioactive records/mca \| second studio album; reached no. 61 on row 4 : 1991 \| goodbye mr. mackenzie \| international \| radioactive records/mca \| compilation of tracks from both albums, remixed row 5 : 1993 \| live on the day of storms \| uk \| blokshok records \| live album row 6 : 1994 \| five \| uk \| blokshok records \| third studio album row 7 : 1995 \| jezebel \| uk \| blokshok records \| rarities compilation row 8 : 1996 \| the glory hole \| uk \| blokshok records \| fourth and final studio album: manson, row 9 : 2005 \| the river sessions \| uk \| river records \| double live album row 10 : 2009 \| the rattler: live '91' \| uk \| md music company \| live album (digital release) ] Execute this SQL based on the above table: select count ( * ) where territory = 'international'	1
[ header: \| name on the register \| date listed \| location \| city or town \| summary row 1 : 1 \| arnold trail to quebec \| october 1, 1969 (#69 \| along the kennebec river, through \| coburn gore \| extends through franklin, kenn row 2 : 2 \| barn on lot 8, range g \| august 24, 2011 (#11000581) \| 816 foster hill rd. 44° \| freeman township \| None row 3 : 3 \| bass boarding house \| april 7, 1988 (#88000 \| canal st. 44°35′12 \| wilton \| None row 4 : 5 \| john g. coburn \| april 11, 2002 (#02000 \| 360 river rd. 44°37′ \| carthage \| perhaps the "john g. coburn house row 5 : 9 \| first congregational church, united church of christ \| july 25, 1974 (#74000149 \| main st. 44°40′04 \| farmington \| None row 6 : 13 \| greenacre \| october 29, 1982 (#82 \| 17 court st. 44°40′ \| farmington \| None row 7 : 15 \| holmes-crafts homestead \| april 26, 1973 (#73000 \| old n. jay rd. \| north jay \| None row 8 : 17 \| jay-niles memorial library \| march 13, 1987 (#87000414) \| state route 4 44°32′53′′n \| north jay \| None row 9 : 18 \| little red schoolhouse \| february 23, 1972 (#72000070 \| south of west farmington on wilton r \| west farmington \| None row 10 : 21 \| mccleary farm \| april 7, 1989 (#89000 \| s. strong rd. 44° \| strong \| None row 11 : 22 \| merrill hall \| january 23, 1980 (#800002 \| maine and academy sts. 44 \| farmington \| None row 12 : 23 \| new sharon bridge \| september 24, 1999 (#99001189) \| south of u.s. route 2 over \| new sharon \| to be demolished ] Execute this SQL based on the above table: select where name on the register = 'mccleary farm'	21.0
[ header: year \| english title \| chinese title \| director \| role row 1 : 1933 \| twenty-four hours in shanghai \| 上海二十四小时 \| shen xiling \| None row 2 : 1937 \| street angel \| 马路天使 \| yuan muzhi \| xiao chen row 3 : 1937 \| crossroads \| 十字街头 \| shen xiling \| zhao row 4 : 1947 \| far away love \| 遙遠的愛 \| chen liting \| xiao yuanxi row 5 : 1947 \| rhapsody of happiness \| 幸福狂想曲 \| chen liting \| None row 6 : 1949 \| crows and sparrows \| 烏鴉与麻雀 \| zheng junli \| little broadcast row 7 : 1949 \| women side by side \| 丽人行 \| chen liting \| zhang yuliang row 8 : 1950 \| the life of wu xun \| 武训传 \| sun yu \| wu xun row 9 : 1951 \| the married couple \| 我们夫妇之间 \| zheng junli \| None row 10 : 1956 \| li shizhen \| 李时珍 \| shen fu \| li shizhen row 11 : 1958 \| lin zexu \| 林则徐 \| zheng junli \| lin zexu row 12 : 1959 \| nie er \| 聂耳 \| zheng junli \| nie er ] Execute this SQL based on the above table: select english title order by year limit 1	twenty-four hours in shanghai
[ header: pennant \| name \| hull builder \| ordered \| laid down \| launched \| accepted into service \| commissioned \| est. building cost \| fate row 1 : f169 \| amazon \| vosper thornycroft, woolston \| 26 march 1969 \| 6 november 1969 \| 26 april 1971 \| 19 july 1974 \| 11 may 1974 \| £16.8m \| to pakistan as babur row 2 : f170 \| antelope \| vosper thornycroft \| 11 may 1970 \| 23 march 1971 \| 16 march 1972 \| 30 june 1975 \| 16 july 1975 \| £14.4m \| bombed by argentine a-4 row 3 : f172 \| ambuscade \| yarrow shipbuilders, scot \| 11 november 1971 \| 1 september 1971 \| 18 january 1973 \| 23 august 1975 \| 5 september 1975 \| £16.5m \| to pakistan as tariq row 4 : f173 \| arrow \| ysl \| 11 november 1971 \| 28 september 1972 \| 5 february 1974 \| 16 may 1975 \| 29 july 1976 \| £20.2m \| to pakistan as khaibar row 5 : f171 \| active \| vosper thornycroft \| 11 may 1970 \| 21 july 1971 \| 23 november 1972 \| 2 june 1977 \| 17 june 1977 \| £24.1m \| to pakistan as shah ja row 6 : f174 \| alacrity \| ysl \| 11 november 1971 \| 5 march 1973 \| 18 september 1974 \| 2 april 1977 \| 2 july 1977 \| £23.8m \| to pakistan as badr row 7 : f184 \| ardent \| ysl \| 11 november 1971 \| 26 february 1974 \| 9 may 1975 \| 10 september 1977 \| 14 october 1977 \| £26.3m \| bombed by argentine a-4 row 8 : f185 \| avenger \| ysl \| 11 november 1971 \| 30 october 1974 \| 20 november 1975 \| 15 april 1978 \| 15 april 1978 \| £27.7m \| to pakistan as tippu s ] Execute this SQL based on the above table: select count ( * ) where pennant = 'to pakistan as tariq'	0
[ header: year \| film \| director \| producer \| writer \| notes row 1 : 1953 \| the sea around us \| yes \| yes \| yes \| documentary academy award for best documentary feature row 2 : 1954 \| dangerous mission \| None \| yes \| None \| None row 3 : 1956 \| the animal world \| yes \| yes \| yes \| documentary row 4 : 1957 \| the story of mankind \| yes \| yes \| yes \| documentary row 5 : 1960 \| the big circus \| None \| yes \| yes \| None row 6 : 1960 \| the lost world \| yes \| yes \| yes \| None row 7 : 1961 \| voyage to the bottom of the sea \| yes \| yes \| yes \| None row 8 : 1962 \| five weeks in a balloon \| yes \| yes \| yes \| None row 9 : 1972 \| the poseidon adventure \| yes \| yes \| None \| directed action sequences only nominated-gold row 10 : 1974 \| the towering inferno \| None \| yes \| None \| nominated-academy award for best row 11 : 1978 \| the swarm \| yes \| yes \| None \| None row 12 : 1979 \| beyond the poseidon adventure \| yes \| yes \| None \| None row 13 : 1980 \| when time ran out \| None \| yes \| None \| None row 14 : 1983 \| cave-in! \| None \| yes \| None \| None ] Execute this SQL based on the above table: select year where director = 'yes'	1953, 1956, 1957, 1960, 1961, 1962, 1972, 1978, 1979
[ header: year \| champion \| score \| runner-up \| total prize money \| champion \| runner-up row 1 : 2001 \| ravi sandiran \| \| thanawat gaweenuntavong \| None \| None \| None row 2 : 2005 \| tengku hadzali shah \| \| mohd nazib khalit \| None \| None \| None row 3 : 2006 \| selbaraju subramaniam \| \| tengku hadzali shah \| None \| None \| None row 4 : 2007 \| s raj \| \| keshminder singh \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 5 : 2008 \| robert calupit \| \| shah azhar \| sgd 3,600 \| sgd 1,600 \| sgd 800 row 6 : 2009 \| ronald l briones \| \| tengku hadzali shah \| sgd 2,400 \| sgd 1,000 \| sgd 500 row 7 : 2010 \| None \| \| None \| None \| sgd 1,000 \| sgd 500 ] Execute this SQL based on the above table: select runner-up where year = 2006	tengku hadzali shah
[ header: year \| single \| peak chart positions ger \| peak chart positions ire \| peak chart positions uk \| peak chart positions us \| peak chart positions us main \| peak chart positions us dance \| certifications (sales thresholds) \| album row 1 : 1970 \| "memo from turner" \| 23 \| None \| 32 \| None \| None \| None \| \| performance (soundtrack) row 2 : 1978 \| "don't look back" (with pe \| None \| None \| 43 \| 81 \| None \| None \| \| bush doctor (peter tosh album) row 3 : 1984 \| "state of shock" (with the jack \| 23 \| 8 \| 14 \| 3 \| 3 \| None \| \| victory (the jacksons album) row 4 : 1985 \| "just another night" \| 16 \| 21 \| 32 \| 12 \| 1 \| 11 \| \| she's the boss row 5 : 1985 \| "lonely at the top" \| None \| None \| None \| None \| 9 \| None \| \| she's the boss row 6 : 1985 \| "lucky in love" \| 44 \| None \| 91 \| 38 \| 5 \| 11 \| \| she's the boss row 7 : 1985 \| "hard woman" \| 57 \| None \| None \| None \| None \| None \| \| she's the boss row 8 : 1985 \| "dancing in the street" (with \| 6 \| 1 \| 1 \| 7 \| 3 \| 4 \| \| single only row 9 : 1986 \| "ruthless people" \| None \| None \| None \| 51 \| 14 \| 29 \| \| ruthless people (soundtrack) row 10 : 1987 \| "let's work" \| 29 \| 24 \| 31 \| 39 \| 7 \| 32 \| \| primitive cool row 11 : 1987 \| "throwaway" \| None \| None \| None \| 67 \| 7 \| None \| \| primitive cool row 12 : 1987 \| "say you will" \| None \| None \| None \| None \| 39 \| None \| \| primitive cool row 13 : 1993 \| "sweet thing" \| 23 \| None \| 24 \| 84 \| 34 \| None \| \| wandering spirit row 14 : 1993 \| "wired all night" \| None \| None \| None \| None \| 3 \| None \| \| wandering spirit row 15 : 1993 \| "don't tear me up" \| 77 \| None \| 86 \| None \| 1 \| None \| \| wandering spirit row 16 : 1993 \| "out of focus" \| 70 \| None \| None \| None \| None \| None \| \| wandering spirit row 17 : 2001 \| "god gave me everything" \| 60 \| None \| None \| None \| 24 \| None \| \| goddess in the doorway row 18 : 2002 \| "visions of paradise" \| 77 \| None \| 43 \| None \| None \| None \| \| goddess in the doorway row 19 : 2004 \| "old habits die hard" (with dave \| 62 \| None \| 45 \| None \| None \| None \| \| alfie (soundtrack) row 20 : 2008 \| "charmed life" \| None \| None \| None \| None \| None \| 18 \| \| the very best of mick jagger row 21 : 2011 \| "miracle worker" (with superhe \| None \| None \| 136 \| None \| None \| None \| \| superheavy (superheavy album) row 22 : 2011 \| "t.h.e (the hardest ever \| None \| 13 \| 3 \| 36 \| None \| None \| \| #willpower (will.i.am album ] Execute this SQL based on the above table: select certifications (sales thresholds) group by certifications (sales thresholds) order by count ( album ) desc limit 1	@NULL@
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select home team group by home team order by count ( * ) desc limit 1	warrenpoint town
[ header: rank \| name \| nationality \| time \| notes row 1 : 1 \| dyana calub \| australia \| 1:01.77 \| q row 2 : 2 \| natalie coughlin \| united states \| 1:01.99 \| q row 3 : 3 \| noriko inada \| japan \| 1:02.00 \| q row 4 : 4 \| haley cope \| united states \| 1:02.09 \| q row 5 : 5 \| diana macmanus \| united states \| 1:02.10 \| q row 6 : 6 \| courtney shealy \| united states \| 1:02.28 \| q row 7 : 7 \| aya terakawa \| japan \| 1:02.39 \| q row 8 : 8 \| giaan rooney \| australia \| 1:02.53 \| q row 9 : 9 \| erin gammel \| canada \| 1:02.63 \| None row 10 : 10 \| hannah mclean \| new zealand \| 1:02.82 \| None row 11 : 11 \| melissa morgan \| australia \| 1:02.86 \| None row 12 : 12 \| reiko nakamura \| japan \| 1:02.91 \| None row 13 : 13 \| michelle lischinsky \| canada \| 1:03.22 \| None row 14 : 14 \| jennifer fratesi \| canada \| 1:03.42 \| None row 15 : 15 \| kelly stefanyshy \| canada \| 1:03.44 \| None row 16 : 16 \| clementine stoney \| australia \| 1:03.52 \| None ] Execute this SQL based on the above table: select time where rank = 1	1:01.77
[ header: pos \| no \| rider \| manufacturer \| laps \| time \| grid \| points row 1 : 1 \| 58 \| marco simoncelli \| gilera \| 25 \| 39:02.553 \| 1 \| 25 row 2 : 2 \| 19 \| alvaro bautista \| aprilia \| 25 \| 0.223 \| 3 \| 20 row 3 : 3 \| 36 \| mika kallio \| ktm \| 25 \| 14.45 \| 2 \| 16 row 4 : 4 \| 60 \| julian simon \| ktm \| 25 \| 14.478 \| 6 \| 13 row 5 : 5 \| 6 \| alex debon \| aprilia \| 25 \| 26.226 \| 8 \| 11 row 6 : 6 \| 15 \| roberto locatelli \| gilera \| 25 \| 26.392 \| 11 \| 10 row 7 : 7 \| 72 \| yuki takahashi \| honda \| 25 \| 26.434 \| 7 \| 9 row 8 : 8 \| 41 \| aleix espargaro \| aprilia \| 25 \| 40.546 \| 9 \| 8 row 9 : 9 \| 14 \| ratthapark wilairot \| honda \| 25 \| +1:00.219 \| 12 \| 7 row 10 : 10 \| 32 \| fabrizio lai \| gilera \| 25 \| +1:20.825 \| 13 \| 6 row 11 : 11 \| 17 \| karel abraham \| aprilia \| 25 \| +1:22.802 \| 17 \| 5 row 12 : 12 \| 25 \| alex baldolini \| aprilia \| 25 \| +1:22.864 \| 18 \| 4 row 13 : 13 \| 10 \| imre toth \| aprilia \| 25 \| +1:23.995 \| 16 \| 3 row 14 : 14 \| 52 \| lukas pesek \| aprilia \| 25 \| +1:39.740 \| 14 \| 2 row 15 : 15 \| 35 \| simone grotzkyj \| gilera \| 24 \| +1 lap \| 21 \| 1 row 16 : 16 \| 92 \| daniel arcas \| honda \| 24 \| +1 lap \| 20 \| None row 17 : 17 \| 45 \| doni tata pradita \| yamaha \| 24 \| +1 lap \| 22 \| None row 18 : ret \| 4 \| hiroshi aoyama \| ktm \| 15 \| retirement \| 4 \| None row 19 : ret \| 75 \| mattia pasini \| aprilia \| 15 \| accident \| 10 \| None row 20 : ret \| 55 \| hector faubel \| aprilia \| 4 \| accident \| 5 \| None row 21 : ret \| 90 \| federico sandi \| aprilia \| 1 \| accident \| 15 \| None row 22 : ret \| 43 \| manuel hernandez \| aprilia \| 1 \| retirement \| 19 \| None row 23 : dnq \| 27 \| stefano bianco \| gilera \| None \| None \| None \| None row 24 : dnq \| 89 \| ho wan chow \| aprilia \| None \| None \| None \| None ] Execute this SQL based on the above table: select rider order by grid desc limit 1	doni tata pradita
[ header: city 2010 census \| chinese \| built-up area \| urban area \| level \| administrative area \| province-level division \| remarks row 1 : suzhou \| 苏州 \| shanghai \| 5349090 \| prefecture-level city \| 10465994 \| jiangsu \| None row 2 : yangzhou \| 扬州 \| 2399079 \| 2399079 \| prefecture-level city \| 4459760 \| jiangsu \| None row 3 : huizhou \| 惠州 \| guangzhou \| 2344507 \| prefecture-level city \| 4597002 \| guangdong \| 2 urban districts part of guangzhou- row 4 : baotou \| 包头 \| 2034996 \| 2070801 \| prefecture-level city \| 2650364 \| inner mongolia \| shiguai urban district not yet urban row 5 : jilin city \| 吉林市 \| 1975803 \| 1975803 \| prefecture-level city \| 4414681 \| jilin \| None row 6 : cixi \| 慈溪 \| 1462383 \| 1462383 \| county-level city \| ningbo \| zhejiang \| None row 7 : datong \| 大同 \| 1447550 \| 1570035 \| prefecture-level city \| 3318057 \| shanxi \| None row 8 : panjin \| 盘锦 \| 1392493 \| 666205 \| prefecture-level city \| 1392493 \| liaoning \| incl. 2 urban districts plus d row 9 : fushun \| 抚顺 \| shenyang \| 1356987 \| prefecture-level city \| 2138090 \| liaoning \| None row 10 : yingkou \| 营口 \| 1351519 \| 738128 \| prefecture-level city \| 2428534 \| liaoning \| incl. dashiqia row 11 : xining \| 西宁 \| 1198304 \| 1198304 \| prefecture-level city provincial capital \| 2208708 \| qinghai \| None row 12 : tianshui \| 天水 \| 1197174 \| 1197174 \| prefecture-level city \| 3262548 \| gansu \| None row 13 : taixing \| 泰兴市 \| 1192213 \| 1192213 \| county-level city \| taizhou \| jiangsu \| None row 14 : qujing \| 曲靖 \| 1171805 \| 740925 \| prefecture-level city \| 5855055 \| yunnan \| incl. zhanyi county row 15 : jining \| 济宁 \| 1115300 \| 1115300 \| prefecture-level city \| 8081900 \| shandong \| None row 16 : jinhua \| 金华 \| 1077300 \| 1077300 \| prefecture-level city \| 5361600 \| zhejiang \| None row 17 : pingdingshan \| 平顶山 \| 1033975 \| 1033975 \| prefecture-level city \| 4904367 \| henan \| None row 18 : qiqihar \| 齐齐哈尔 \| 979517 \| 1481637 \| prefecture-level city \| 5611000 \| heilongjiang \| incl. longsha, j row 19 : bengbu \| 蚌埠 \| 972784 \| 972784 \| prefecture-level city \| 3164467 \| anhui \| None row 20 : danyang \| 丹阳市 \| 960418 \| 960418 \| county-level city \| zhenjiang \| jiangsu \| None row 21 : wuchuan \| 吴川 \| 947499 \| 947499 \| county-level city \| zhanjiang \| guangdong \| None ] Execute this SQL based on the above table: select count ( city 2010 census )	21
[ header: party \| first duma \| second duma \| third duma \| fourth duma row 1 : russian social democratic party \| 18 (mensheviks) \| 47 (mensheviks) \| 19 (bolsheviks) \| 15 (bolsheviks) row 2 : socialist-revolutionary party \| None \| 37 \| None \| None row 3 : labour group \| 136 \| 104 \| 13 \| 10 row 4 : progressist party \| 27 \| 28 \| 28 \| 41 row 5 : constitutional democratic party (kadets) \| 179 \| 92 \| 52 \| 57 row 6 : non-russian national groups \| 121 \| None \| 26 \| 21 row 7 : centre party \| None \| None \| None \| 33 row 8 : octobrist party \| 17 \| 42 \| 154 \| 95 row 9 : nationalists \| 60 \| 93 \| 26 \| 22 row 10 : rightists \| 8 \| 10 \| 147 \| 154 row 11 : total \| 566 \| 453 \| 465 \| 448 ] Execute this SQL based on the above table: select party order by third duma limit 1	socialist-revolutionary party
[ header: year \| title \| role \| notes row 1 : 1978 \| the big fix \| pool man \| None row 2 : 1979 \| french postcards \| sayyid \| None row 3 : 1979 \| last embrace \| first commuter \| None row 4 : 1980 \| night of the juggler \| allesandro the cabbie \| None row 5 : 1981 \| ragtime \| tateh \| None row 6 : 1983 \| yentl \| avigdor \| nominated-golden globe award for best row 7 : 1983 \| daniel \| paul isaacson \| None row 8 : 1985 \| maxie \| nick \| None row 9 : 1986 \| tenku no shiro rap \| louis \| None row 10 : 1987 \| the princess bride \| inigo montoya \| None row 11 : 1988 \| alien nation \| detective samuel 'ge \| nominated-saturn award for best row 12 : 1988 \| the house on carroll street \| ray salwen \| None row 13 : 1990 \| dick tracy \| 88 keys \| None row 14 : 1991 \| true colors \| john palmeri \| None row 15 : 1991 \| impromptu \| alfred de musset \| None row 16 : 1991 \| the doctor \| dr. murray kaplan \| None row 17 : 1993 \| the music of chance \| jim nashe \| None row 18 : 1993 \| life with mikey \| irate man \| None row 19 : 1994 \| squanto: a warrior's \| brother daniel \| None row 20 : 1998 \| lulu on the bridge \| philip kleinman \| None row 21 : 1998 \| men with guns \| andrew \| None row 22 : 1999 \| the adventures of elmo in \| huxley \| None row 23 : 2001 \| pinero \| joseph papp \| None row 24 : 2002 \| run ronnie run \| himself \| None row 25 : 2003 \| celebrity train layouts: mandy patin \| himself \| None row 26 : 2005 \| the choking man \| rick \| None row 27 : 2006 \| everyone's hero \| stanley irving \| None row 28 : 2010 \| 4.3.2.1 ... the countdown begins \| jago l \| None row 29 : 2014 \| wish i was here \| saul bloom \| None ] Execute this SQL based on the above table: select role order by year desc limit 1	saul bloom
[ header: discipline \| amanda \| bernie \| javine h \| julia \| michelle row 1 : whitewater kayak \| 0 \| 2 \| 4 \| 3 \| 6 row 2 : hurdles \| 3 \| 1 \| 6 \| 5 \| 3 row 3 : cycling \| 4 \| 2 \| 4 \| 6 \| 0 row 4 : gym floor \| 0 \| 3 \| 6 \| 5 \| 2 row 5 : swimming \| 4 \| 3 \| 6 \| 5 \| 0 row 6 : curling \| 0 \| 2 \| 4 \| 3 \| 5 row 7 : archery \| 4 \| 0 \| 5 \| 2 \| 3 row 8 : hammer \| 2 \| 3 \| 5 \| 4 \| 2 row 9 : 100m sprint \| 2 \| 0 \| 5 \| 3 \| 4 row 10 : total \| 19 \| 16 \| 45 \| 36 \| 25 ] Execute this SQL based on the above table: select michelle where discipline = 'hammer'	2.0
[ header: year \| date \| driver \| team \| manufacturer \| race distance laps \| race distance miles (km) \| race time \| average speed (mph) \| report row 1 : 1997 \| june 22 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:13:32 \| 155.012 \| report row 2 : 1998 \| may 3 \| mark martin \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:33:57 \| 140.22 \| report row 3 : 1999 \| may 2 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:19:38 \| 150.276 \| report row 4 : 2000 \| april 30 \| jeremy mayfield \| penske racing \| ford \| 250 \| 500 (804.672) \| 3:20:50 \| 149.378 \| report row 5 : 2001 \| april 29 \| rusty wallace \| penske racing \| ford \| 250 \| 500 (804.672) \| 3:29:37 \| 143.118 \| report row 6 : 2002 \| april 28 \| jimmie johnson \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:19:53 \| 150.088 \| report row 7 : 2003 \| april 27 \| kurt busch \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:34:07 \| 140.111 \| report row 8 : 2004 \| may 2 \| jeff gordon \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:38:33 \| 137.268 \| report row 9 : 2005 \| february 27 \| greg biffle \| roush racing \| ford \| 250 \| 500 (804.672) \| 3:34:45 \| 139.697 \| report row 10 : 2006 \| february 26 \| matt kenseth \| roush racing \| ford \| 251 \| 502 (807.89) \| 3:23:43 \| 147.852 \| report row 11 : 2007 \| february 25 \| matt kenseth \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:36:41 \| 138.451 \| report row 12 : 2008 \| feb 24/25 \| carl edwards \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:46:04 \| 132.704 \| report row 13 : 2009 \| february 22 \| matt kenseth \| roush fenway racing \| ford \| 250 \| 500 (804.672) \| 3:40:51 \| 135.839 \| report row 14 : 2010 \| february 21 \| jimmie johnson \| hendrick motorsports \| chevrolet \| 250 \| 500 (804.672) \| 3:31:24 \| 141.911 \| report row 15 : 2011 \| march 27 \| kevin harvick \| richard childress racing \| chevrolet \| 200 \| 400 (643.737) \| 2:39:06 \| 150.849 \| report row 16 : 2012 \| march 25 \| tony stewart \| stewart-haas racing \| chevrolet \| 129 \| 258 (415.21) \| 1:36:39 \| 160.166 \| report row 17 : 2013 \| march 24 \| kyle busch \| joe gibbs racing \| toyota \| 200 \| 400 (643.737) \| 2:57:19 \| 135.351 \| report row 18 : 2014 \| march 23 \| kyle busch \| joe gibbs racing \| toyota \| 206 \| 412 (663.05) \| 3:05:53 \| 132.987 \| report ] Execute this SQL based on the above table: select count ( * ) where abs ( driver - driver ) = 169	0
[ header: election \| name of the party/alliance \| number of votes \| percentage \| seats in the parliament row 1 : 2010 \| partidul popular crestin democrat (ppcd \| 9046 \| 0.53% \| None row 2 : 29 july 2009 \| partidul popular crestin democrat (ppcd \| 30173 \| 1.91% \| None row 3 : 5 april 2009 \| partidul popular crestin democrat (ppcd \| 46549 \| 3.03% \| None row 4 : 6 march 2005 \| partidul popular crestin democrat (ppcd \| 141341 \| 9.07% \| 11 row 5 : 25 february 2001 \| partidul popular crestin democrat (ppcd \| 130810 \| 8.24% \| 11 row 6 : 22 march 1998 \| blocul electoral "conventia democrat \| 315206 \| 19.42% \| 26 row 7 : 27 february 1994 \| blocul electoral "alianta frontului popular \| 133606 \| 7.53% \| 9 ] Execute this SQL based on the above table: select count ( * ) where percentage = '19.42%'	1
[ 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 ( language ) where year = 2012	5
[ header: year \| title \| peak chart positions ger \| label \| artist row 1 : 1981 \| savoir faire \| None \| capitol \| mink deville row 2 : 1993 \| spanish stroll 1977-1987 \| None \| disky, raven \| mink deville row 3 : 1995 \| les inoubliables de willy deville \| None \| wagram \| willy deville row 4 : 1996 \| love & emotion: the atlantic years \| 54 \| atlantic \| mink deville row 5 : 1996 \| mink/willy deville greatest hits \| None \| emi \| mink deville row 6 : 1996 \| spanish stroll \| None \| disky \| mink deville row 7 : 1996 \| best of willy deville \| None \| arcade \| willy deville row 8 : 1997 \| his greatest hits \| None \| arcade \| mink deville row 9 : 1997 \| premium gold collection \| None \| emi \| mink deville row 10 : 1997 \| the best of mink deville \| None \| emi \| mink deville row 11 : 1999 \| collection legende \| None \| wagram \| willy deville row 12 : 2001 \| cadillac walk: the mink de \| None \| capitol \| mink deville row 13 : 2003 \| greatest hits \| None \| emi \| mink deville row 14 : 2005 \| mink deville \| None \| disky \| mink deville row 15 : 2009 \| introducing willy deville \| None \| edel \| willy deville ] Execute this SQL based on the above table: select label where year = 2005	disky
[ header: year \| film \| role \| language \| notes row 1 : 2009 \| toss: a flip of destiny \| sherry \| hindi \| None row 2 : 2009 \| aa okkadu \| dr. pavitra \| telugu \| None row 3 : 2010 \| mouna ragam \| sandhya \| telugu \| None row 4 : 2010 \| saradaga kasepu \| manimala \| telugu \| None row 5 : 2010 \| orange \| madhu \| telugu \| special appearance row 6 : 2012 \| kamaal dhamaal malam \| maria \| hindi \| None row 7 : 2013 \| mahankali \| tanisha \| telugu \| None row 8 : 2013 \| shadow \| None \| telugu \| None row 9 : 2013 \| eepeeko \| None \| tamil \| filming row 10 : 2013 \| black coffee \| None \| malayalam \| filming row 11 : 2014 \| koothara \| shaista \| malayalam \| filming row 12 : 2014 \| kotha janta \| None \| telugu \| filming row 13 : 2013 \| serndhu polama \| None \| tamil \| filming ] Execute this SQL based on the above table: select count ( * ) where year > 1939	13
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1994 \| european championships \| helsinki, finland \| 48th \| marathon \| 2:22:49 row 2 : 1995 \| world championships \| gothenburg, sweden \| 49th \| marathon \| 2:33:42 row 3 : 1996 \| summer olympics \| atlanta, georgia \| 58th \| marathon \| 2:23:14 row 4 : 1997 \| world championships \| athens, greece \| 48th \| marathon \| 2:29:10 row 5 : 1998 \| world cross country championships \| marrakech, morocco \| 85th \| long race \| None row 6 : 1998 \| world half marathon championships \| uster, switzerland \| 66th \| half marathon \| 1:05:00 row 7 : 1998 \| european championships \| budapest, hungary \| 29th \| marathon \| 2:19:38 row 8 : 1999 \| world half marathon championships \| palermo, italy \| 55th \| half marathon \| 1:05:45 row 9 : 1999 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:12:37 row 10 : 1999 \| helsinki marathon \| helsinki, finland \| 1st \| marathon \| 2:19:18 row 11 : 2000 \| summer olympics \| sydney, australia \| 35th \| marathon \| 2:19:41 row 12 : 2001 \| frankfurt marathon \| frankfurt, germany \| 1st \| marathon \| 2:11:09 row 13 : 2002 \| paris marathon \| paris, france \| 2nd \| marathon \| 2:08:53 row 14 : 2002 \| european championships \| munich, germany \| 2nd \| marathon \| 2:13:18 row 15 : 2002 \| fukuoka marathon \| fukuoka, japan \| 4th \| marathon \| 2:10:14 row 16 : 2003 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:15 row 17 : 2004 \| summer olympics \| athens, greece \| 26th \| marathon \| 2:18:09 row 18 : 2004 \| joongang seoul marathon \| seoul, south korea \| 1st \| marathon \| 2:09:34 row 19 : 2005 \| joongang seoul marathon \| seoul, south korea \| 4th \| marathon \| 2:12:12 row 20 : 2006 \| paris marathon \| paris, france \| 12th \| marathon \| 2:11:25 row 21 : 2007 \| world championships \| osaka, japan \| None \| marathon \| dnf row 22 : 2007 \| beppu-oita marathon \| beppu-oita, japan \| 8th \| marathon \| 2:14:49 row 23 : 2008 \| summer olympics \| beijing, china \| 75th \| marathon \| 2:39:01 ] Execute this SQL based on the above table: select count ( position ) where venue = 'helsinki, finland' and position = '48th'	1
[ header: pos. \| div. \| no. \| team \| drivers \| car \| laps \| qual. pos. row 1 : 1 \| 1 \| 11 \| perkins engineering \| larry perkins tomas mezera \| holden vl commodore \| 125 \| 2 row 2 : 2 \| 1 \| 35 \| peter jackson racing \| glenn seton colin bond \| ford sierra rs500 \| 125 \| 4 row 3 : 4 \| 1 \| 20 \| benson & hedges racing \| gary brabham david brabham \| ford sierra rs500 \| 123 \| 7 row 4 : 5 \| 1 \| 30 \| peter jackson racing \| george fury drew price \| ford sierra rs500 \| 123 \| 9 row 5 : 8 \| 1 \| 33 \| pro-duct motorsport \| bob pearson bruce stewart \| holden vl commodore \| 122 \| 16 row 6 : 11 \| 1 \| 12 \| ray lintott \| ray lintott ter \| ford sierra rs500 \| 121 \| 13 row 7 : 12 \| 1 \| 26 \| garry rogers motorsport \| garry rogers paul fordham \| holden vl commodore \| 121 \| 14 row 8 : 13 \| 1 \| 27 \| terry finnigan \| terry finnigan geoff lee \| holden vl commodore \| 120 \| 15 row 9 : 14 \| 1 \| 42 \| lusty engineering \| john lusty bernie stack \| holden vl commodore \| 119 \| 20 row 10 : 20 \| 2 \| 53 \| brian bolwell racing \| brian bolwell mike \| bmw 323i \| 111 \| 29 row 11 : 23 \| 3 \| 76 \| peter verheyen \| peter verheyen john vernon \| toyota sprinter \| 109 \| 36 row 12 : dnf \| 1 \| 17 \| shell ultra hi racing \| dick johnson john bowe \| ford sierra rs500 \| 123 \| 5 row 13 : dnf \| 3 \| 75 \| bob holden motors \| dennis rogers garry jones \| toyota corolla \| 75 \| 31 row 14 : dnf \| 1 \| 21 \| bob forbes motorsport \| mark gibbs rohan ons \| holden vl commodore \| 64 \| 8 row 15 : dnf \| 1 \| 22 \| lusty engineering \| graham lusty ken lust \| holden vl commodore \| 52 \| 21 row 16 : dnf \| 1 \| 1 \| nissan motorsport australia \| jim richards mark skaif \| nissan skyline r32 \| 51 \| 1 row 17 : dnf \| 3 \| 74 \| bob holden motors \| phil alexander keith m \| toyota corolla \| 44 \| 33 row 18 : dnf \| 1 \| 46 \| garry willmington performance \| garry willmington john bour \| toyota supra turbo \| 24 \| 18 row 19 : dnf \| 1 \| 23 \| chris lambden \| chris lambden des wall \| nissan skyline hr \| 18 \| 17 row 20 : dnf \| 3 \| 73 \| bob holden motors \| bob holden mike conway \| toyota sprinter \| 8 \| 35 ] Execute this SQL based on the above table: select sum ( div. )	29.0
[ header: \| landmark name \| date built \| style \| location \| description row 1 : 1 \| gridley building \| 1867 \| second empire \| 101 east water street \| also known as the onondaga county savings row 2 : 2 \| gere bank building \| 1894 \| louis sullivan type \| 121 east water street \| 5 stories; built of granite, brick and row 3 : 3 \| phoenix buildings (portion) \| 1834 \| federal \| 123 east water street \| 4 stories; brick row 4 : 4 \| phillips block \| 1834 \| federal \| 125-127 east water street \| 4 stories; brick row 5 : 5 \| phoenix buildings (portion) \| 1834 \| federal \| 129 east water street \| 4 stories; brick row 6 : 6 \| dana building \| 1837, 1861 \| federal, italianate \| 135 east water street \| italianate top floor added in 1861; 4 row 7 : 7 \| grange building \| 1925 \| commercial \| 203 east water street \| originally an auto dealership; 4 stories; brown brick row 8 : 8 \| state tower building \| 1927 \| art deco \| 109 south warren street \| 22 stories; brick and limestone; tho row 9 : 9 \| granger block \| 1869, 1894 \| renaissance revival \| 200 east genesee street \| also known as the sa&k ( row 10 : 10 \| larned building \| 1869 \| second empire \| 114 south warren street \| 5 stories; brick row 11 : 11 \| post standard building \| 1880 \| richardsonian romanesque \| 136 east genesee street \| 5 stories; brick row 12 : 12 \| franklin buildings (portion) \| 1870 \| second empire \| 134 east genesee street \| 41⁄2 stories; brick row 13 : 13 \| franklin buildings (portion) \| None \| federal \| 132 east genesee street \| 4 stories; stone row 14 : 14 \| franklin buildings (portion) \| 1834 \| federal \| 128 east genesee street \| 4 stories; brick row 15 : 15 \| franklin buildings (portion) \| 1839 \| federal \| 122-126 east genesee street \| 5 stories; brick row 16 : 16 \| flagship securities building \| 1896 \| neo-classical \| 120 east genesee street \| 3 stories; marble and brick; albert row 17 : 17 \| onondaga county savings bank \| 1896 \| neo-classical \| 113 south salina street \| 91⁄2 stories; granite and limestone; ] Execute this SQL based on the above table: select count ( distinct )	17
[ header: # \| date \| film \| gross \| top ten places row 1 : 1 \| january 5, 2014 \| frozen \| $2,441,278 \| paranormal activity: the marked ones (#2) row 2 : 2 \| january 12, 2014 \| frozen \| $1,193,153 \| the wolf of wall street (#3) row 3 : 3 \| january 19, 2014 \| ¿que le dijiste a \| $1,607,603 \| jack ryan: shadow recruit (# row 4 : 4 \| january 26, 2014 \| i, frankenstein \| $2,017,410 \| grudge match (#10) row 5 : 5 \| february 2, 2014 \| 47 ronin \| $1,916,620 \| devil's due (#2) row 6 : 6 \| february 9, 2014 \| the lego movie \| $3,823,198 \| the legend of hercules (#4) row 7 : 7 \| february 16, 2014 \| casese quien pueda \| $3,287,643 \| robocop (#2), the monuments row 8 : 8 \| february 23, 2014 \| casese quien pueda \| $2,228,705 \| pompeii (#3), 12 years row 9 : 9 \| march 2, 2014 \| mr. peabody & she \| $2,687,778 \| fachon models (#6), august: row 10 : 10 \| march 9, 2014 \| 300: rise of an empire \| $5,468,513 \| homefront (#8), zip & row 11 : 11 \| march 16, 2014 \| 300: rise of an empire \| $2,891,351 \| el crimen del cacaro row 12 : 12 \| march 23, 2014 \| noah \| $5,743,388 \| muppets most wanted (#3) row 13 : 13 \| march 30, 2014 \| captain america: the winter soldier \| $8,596,889 \| None ] Execute this SQL based on the above table: select ( select gross where date = 'february 16, 2014' ) - ( select gross where date = 'march 16, 2014' )	396292.0
[ header: no. \| constituency \| winner candidate \| party \| votes \| margin row 1 : 6 \| rapar \| patel vaghajibhai \| bjp \| 55280 \| 9216 row 2 : 11 \| vadgam \| manilal jethabhai vaghe \| inc \| 90375 \| 21839 row 3 : 12 \| palanpur \| patel maheshkumar amrut \| inc \| 75097 \| 5284 row 4 : 16 \| radhanpur \| thakor nagarji \| bjp \| 69493 \| 3834 row 5 : 20 \| kheralu \| bharatsinhji da \| bjp \| 68195 \| 18386 row 6 : 33 \| prantij \| baraiya mahendrasin \| inc \| 76097 \| 7014 row 7 : 34 \| dehgam \| kaminiba rathod \| inc \| 61043 \| 2297 row 8 : 52 \| jamalpur-khadia \| bhatt bhushan ash \| bjp \| 48058 \| 6331 row 9 : 59 \| dhandhuka \| kolipatel lalji \| bjp \| 77573 \| 28277 row 10 : 65 \| morbi \| kantilal amrutiya \| bjp \| 77386 \| 2760 row 11 : 68 \| rajkot east \| rajguru indranil san \| inc \| 60877 \| 4272 row 12 : 82 \| dwarka \| pabubha virambha man \| bjp \| 70062 \| 5616 row 13 : 90 \| somnath \| barad jasabhai \| inc \| 56701 \| 2096 row 14 : 103 \| bhavnagar rural \| parshottam solanki \| bjp \| 83980 \| 18554 row 15 : 109 \| borsad \| parmar rajendrasinh d \| inc \| 83621 \| 21034 row 16 : 113 \| petlad \| niranjan patel \| inc \| 77312 \| 12192 row 17 : 117 \| mahemdabad \| gautambhai ravj \| inc \| 68767 \| 4181 row 18 : 119 \| thasra \| parmar ramsinh prab \| inc \| 78226 \| 5500 row 19 : 122 \| lunawada \| malivad kalubhai hirab \| bjp \| 72814 \| 3701 row 20 : 124 \| shehra \| ahir jethabhai ghe \| bjp \| 76468 \| 28725 row 21 : 126 \| godhra \| c. k. raul \| inc \| 73367 \| 2868 row 22 : 128 \| halol \| parmar jaydrathsinh \| bjp \| 93854 \| 33206 row 23 : 130 \| jhalod \| garasiya miteshbha \| inc \| 78077 \| 40073 row 24 : 134 \| devgadh baria \| bachu khabad \| bjp \| 113582 \| 83753 row 25 : 135 \| savli \| inamdar ketanbhai ma \| independent \| 62849 \| 20319 row 26 : 136 \| vaghodia \| shrivastav madhubhai bab \| bjp \| 65851 \| 5788 ] Execute this SQL based on the above table: select count ( * ) where party = '69493'	0
[ header: week # \| theme \| song choice \| original artist \| order # \| result row 1 : audition \| auditioner's choice \| "tempos modernos" \| lulu santos \| None \| advanced row 2 : theater \| first solo \| "a sombra da maldade" \| cidade negra \| None \| advanced row 3 : top 30 \| semi-final/group 3 \| "noite do prazer" \| claudio zoli \| 10 \| advanced row 4 : top 10 \| my idol \| "paraiso" \| claudio zoli \| 6 \| safe row 5 : top 9 \| male singers \| "ultimo romantico" \| lulu santos \| 8 \| safe row 6 : top 8 \| female singers \| "lanterna dos afo \| cassia eller \| 1 \| safe row 7 : top 7 \| birth year songs \| "frisson" \| tunai \| 4 \| safe row 8 : top 6 \| jovem pan hits \| "do seu lado" \| jota quest \| 6 \| safe row 9 : top 5 \| jovem guarda \| "o bom" \| eduardo araujo \| 3 \| safe row 10 : top 5 \| jovem guarda \| "vem me ajudar" \| the fevers \| 8 \| safe row 11 : top 4 \| brazil regional \| "eva" \| radio taxi \| 3 \| safe row 12 : top 4 \| brazil regional \| "admiravel gado novo \| ze ramalho \| 7 \| safe row 13 : top 3 \| contestant's choice \| "as sete vampiras \| leo jaime \| 2 \| safe row 14 : top 3 \| contestant's choice \| "eu me rendo" \| fabio junior \| 5 \| safe row 15 : top 2 \| winner's single \| "deixo a voz me \| leandro lopes \| 2 \| winner row 16 : top 2 \| challenging songs \| "queixa" \| caetano veloso \| 4 \| winner row 17 : top 2 \| judge's choice \| "quero te encon \| kid abelha \| 6 \| winner row 18 : top 2 \| best of the season \| "paraiso" \| claudio zoli \| 8 \| winner row 19 : top 2 \| celebrity duet \| "admiravel gado novo \| ze ramalho \| 10 \| winner ] Execute this SQL based on the above table: select theme group by theme order by count ( song choice ) desc limit 1	jovem guarda
[ header: season \| club \| country \| competition \| apps. \| goals row 1 : 1997/98 \| rapide club lebbeke \| belgium \| fourth division \| None \| None row 2 : 1998/99 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 7 row 3 : 1999/00 \| ksc eendracht a \| belgium \| jupiler league \| 31 \| 7 row 4 : 2000/01 \| ksc eendracht a \| belgium \| jupiler league \| 30 \| 6 row 5 : 2001/02 \| omonia nicosia \| cyprus \| cypriot first division \| 22 \| 8 row 6 : 2002/03 \| fc denderleeuw \| belgium \| belgian second division \| 32 \| 23 row 7 : 2003/04 \| 1. fc saarbrucken \| germany \| regionalliga sud \| 33 \| 16 row 8 : 2004/05 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 14 \| 7 row 9 : 2005/06 \| 1. fc saarbrucken \| germany \| 2. bundesliga \| 10 \| 0 row 10 : 2005/06 \| s.v. zulte \| belgium \| jupiler league \| 14 \| 1 row 11 : 2006/07 \| fcv dender eh \| belgium \| belgian second division \| 33 \| 21 row 12 : 2007/08 \| mvv \| netherlands \| eerste divisie \| 33 \| 22 row 13 : 2008/09 \| mvv \| netherlands \| eerste divisie \| 32 \| 20 row 14 : total \| None \| None \| None \| 302 \| 132 ] Execute this SQL based on the above table: select count ( club )	13
[ header: school \| location \| outright titles \| shared titles \| runners-up \| total finals \| last title \| last final row 1 : methodist college belfast \| belfast \| 35 \| 2 \| 25 \| 62 \| 2014 \| 2014 row 2 : royal belfast academical institution \| belfast \| 29 \| 4 \| 21 \| 54 \| 2007 \| 2013 row 3 : campbell college \| belfast \| 23 \| 4 \| 12 \| 39 \| 2011 \| 2011 row 4 : coleraine academical institution \| coleraine \| 9 \| 0 \| 24 \| 33 \| 1992 \| 1998 row 5 : the royal school, armagh \| armagh \| 9 \| 0 \| 3 \| 12 \| 2004 \| 2004 row 6 : portora royal school \| enniskillen \| 6 \| 1 \| 5 \| 12 \| 1942 \| 1942 row 7 : bangor grammar school \| bangor \| 5 \| 0 \| 4 \| 9 \| 1988 \| 1995 row 8 : ballymena academy \| ballymena \| 3 \| 0 \| 6 \| 9 \| 2010 \| 2010 row 9 : rainey endowed school \| magherafelt \| 2 \| 1 \| 2 \| 5 \| 1982 \| 1982 row 10 : foyle college \| londonderry \| 2 \| 0 \| 4 \| 6 \| 1915 \| 1915 row 11 : belfast royal academy \| belfast \| 1 \| 3 \| 5 \| 9 \| 1997 \| 2010 row 12 : regent house grammar school \| newtownards \| 1 \| 1 \| 2 \| 4 \| 1996 \| 2008 row 13 : royal school dungannon \| dungannon \| 1 \| 0 \| 4 \| 5 \| 1907 \| 1975 row 14 : annadale grammar school (now wellington college \| belfast \| 1 \| 0 \| 1 \| 2 \| 1958 \| 1978 row 15 : ballyclare high school \| ballyclare \| 1 \| 0 \| 1 \| 2 \| 1973 \| 2012 row 16 : belfast boys' model school \| belfast \| 1 \| 0 \| 0 \| 1 \| 1971 \| 1971 row 17 : grosvenor high school \| belfast \| 1 \| 0 \| 0 \| 1 \| 1983 \| 1983 row 18 : wallace high school \| lisburn \| 0 \| 0 \| 4 \| 4 \| None \| 2007 row 19 : derry academy \| derry \| 0 \| 0 \| 2 \| 2 \| None \| 1896 row 20 : dalriada school \| ballymoney \| 0 \| 0 \| 1 \| 1 \| None \| 1993 row 21 : galway grammar school \| galway \| 0 \| 0 \| 1 \| 1 \| None \| 1887 row 22 : lurgan college \| lurgan \| 0 \| 0 \| 1 \| 1 \| None \| 1934 row 23 : omagh academy \| omagh \| 0 \| 0 \| 1 \| 1 \| None \| 1985 row 24 : sullivan upper school \| holywood \| 0 \| 0 \| 1 \| 1 \| None \| 2014 ] Execute this SQL based on the above table: select outright titles where location = 'dungannon'	1.0
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 2 \| 17 february 2002 \| healy park, omagh \| tyrone \| \| 2-10 : 0-18 \| national football league round 2 row 2 : 3 \| 3 march 2002 \| parnell park, dublin \| westmeath \| \| 3-13 : 1-16 \| national football league round 4 row 3 : 5 \| 31 march 2002 \| tuam stadium, galway \| galway \| \| 1-12 : 1-12 \| national football league round 7 row 4 : 6 \| 2 february 2003 \| parnell park, dublin \| armagh \| \| 0-7 : 1-15 \| national football league round 1 row 5 : 12 \| 8 february 2004 \| mchale park, castlebar \| mayo \| \| 0-3 : 1-10 \| national football league round 2 row 6 : 15 \| 21 march 2004 \| parnell park, dublin \| cork \| \| 0-9 : 0-9 \| national football league round 6 row 7 : 16 \| 5 february 2005 \| parnell park, dublin \| mayo \| \| 2-13 : 1-15 \| national football league round 1 row 8 : 21 \| 26 march 2005 \| pairc ui rinn, \| cork \| \| 1-6 : 0-18 \| national football league round 6 row 9 : 22 \| 3 april 2005 \| o'connor park, tul \| offaly \| \| 1-13 : 2-6 \| national football league round 7 row 10 : 27 \| 25 march 2006 \| parnell park, dublin \| mayo \| \| 4-10 : 1-10 \| national football league round 6 row 11 : 28 \| 9 april 2006 \| fitzgerald stadium, kerry \| kerry \| \| 0-13 : 0-13 \| national football league round 7 row 12 : 30 \| 10 february 2007 \| gaelic grounds, limerick \| limerick \| \| 0-14 : 1-10 \| national football league round 2 row 13 : 31 \| 25 february 2007 \| ballyshannon, donegal \| donegal \| \| 0-5 : 0-9 \| national football league round 3 row 14 : 32 \| 10 march 2007 \| parnell park, dublin \| cork \| \| 1-13 : 0-7 \| national football league round 4 row 15 : 41 \| 26 april 2008 \| pairc tailteann, meath \| westmeath \| \| 0-10 : 0-15 \| national football league division 2 final row 16 : 42 \| 31 january 2009 \| croke park, dublin \| tyrone \| \| 1-16 : 1-18 \| national football league round 1 row 17 : 43 \| 15 february 2009 \| pearse stadium, salthill \| galway \| \| 0-13 : 3-12 \| national football league round 2 row 18 : 48 \| 7 february 2010 \| fitzgerald stadium, killarney \| kerry \| \| 1-12 : 1-10 \| national football league round 1 row 19 : 50 \| 13 march 2010 \| parnell park, dublin \| monaghan \| \| 2-11 : 1-9 \| national football league round 4 ] Execute this SQL based on the above table: select date where venue = 'fitzgerald stadium, killarney'	7 february 2010
[ header: # \| date \| winner \| score \| location \| notes row 1 : 47 \| december 31, 1971 \| west \| 17-13 \| san francisco, ca \| None row 2 : 48 \| december 30, 1972 \| east \| 9-3 \| san francisco, ca \| None row 3 : 49 \| december 29, 1973 \| east \| 35-7 \| san francisco, ca \| None row 4 : 50 \| december 28, 1974 \| east \| 16-14 \| stanford, ca \| None row 5 : 51 \| january 3, 1976 \| west \| 21-14 \| stanford, ca \| None row 6 : 53 \| december 31, 1977 \| west \| 23-3 \| stanford, ca \| None row 7 : 54 \| january 6, 1979 \| east \| 56-17 \| stanford, ca \| None row 8 : 56 \| january 10, 1981 \| east \| 21-3 \| stanford, ca \| None row 9 : 57 \| january 9, 1982 \| west \| 20-13 \| stanford, ca \| None row 10 : 58 \| january 15, 1983 \| east \| 26-25 \| stanford, ca \| None row 11 : 59 \| january 7, 1984 \| east \| 27-19 \| stanford, ca \| None row 12 : 60 \| january 5, 1985 \| west \| 21-10 \| stanford, ca \| None row 13 : 61 \| january 11, 1986 \| east \| 18-7 \| stanford, ca \| None row 14 : 62 \| january 10, 1987 \| west \| 24-21 \| stanford, ca \| None row 15 : 64 \| january 15, 1989 \| east \| 24-6 \| stanford, ca \| None row 16 : 65 \| january 21, 1990 \| west \| 22-21 \| stanford, ca \| None row 17 : 66 \| january 26, 1991 \| west \| 24-21 \| stanford, ca \| None row 18 : 67 \| january 19, 1992 \| west \| 14-6 \| stanford, ca \| None row 19 : 68 \| january 24, 1993 \| east \| 31-17 \| stanford, ca \| None row 20 : 69 \| january 15, 1994 \| west \| 29-28 \| stanford, ca \| None row 21 : 70 \| january 14, 1995 \| west \| 30-28 \| stanford, ca \| None row 22 : 73 \| january 10, 1998 \| west \| 24-7 \| stanford, ca \| None row 23 : 75 \| january 15, 2000 \| east \| 35-21 \| stanford, ca \| None row 24 : 77 \| january 12, 2002 \| west \| 21-13 \| san francisco, ca \| None row 25 : 78 \| january 11, 2003 \| east \| 20-17 \| san francisco, ca \| None row 26 : 79 \| january 10, 2004 \| west \| 28-7 \| san francisco, ca \| None row 27 : 80 \| january 15, 2005 \| east \| 45-27 \| san francisco, ca \| None row 28 : 81 \| january 21, 2006 \| west \| 35-31 \| san antonio, \| None row 29 : 82 \| january 20, 2007 \| west \| 21-3 \| houston, tx \| None row 30 : 83 \| january 19, 2008 \| west \| 31-13 \| houston, tx \| None row 31 : 84 \| january 17, 2009 \| east \| 24-19 \| houston, tx \| None row 32 : 85 \| january 23, 2010 \| east \| 13-10 \| orlando, fl \| notes row 33 : 86 \| january 22, 2011 \| east \| 25-8 \| orlando, fl \| notes row 34 : 87 \| january 21, 2012 \| west \| 24-17 \| st. petersburg, f \| notes row 35 : 89 \| january 18, 2014 \| east \| 23-13 \| st. petersburg, f \| notes ] Execute this SQL based on the above table: select count ( winner )	35
[ header: name \| party \| took office \| left office row 1 : glenlyon campbell \| conservative \| 1903 \| 1908 row 2 : duncan cameron \| conservative \| 1908 \| 1910 row 3 : sam hughes \| conservative \| 1910 \| 1915 row 4 : william findlater \| liberal \| 1915 \| 1922 row 5 : arthur berry \| progressive \| 1922 \| 1932 row 6 : None \| liberal-progressive \| 1932 \| 1936 row 7 : stanley fox \| social credit \| 1936 \| 1940 row 8 : None \| social credit (coalition) \| 1940 \| 1949 row 9 : ray mitchell \| liberal-progressive \| 1949 \| 1958 ] Execute this SQL based on the above table: select count ( party ) where left office >= 1940	3
[ header: year \| competition \| venue \| position \| notes row 1 : 2002 \| asian junior championships \| bangkok, thailand \| 3rd \| 1.76 m row 2 : 2004 \| asian junior championships \| ipoh, malaysia \| 1st \| 1.84 m row 3 : 2004 \| world junior championships \| grosseto, italy \| 7th \| 1.84 m row 4 : 2005 \| universiade \| izmir, turkey \| 7th \| 1.80 m row 5 : 2005 \| asian championships \| incheon, south korea \| 3rd \| 1.84 m row 6 : 2005 \| asian indoor games \| bangkok, thailand \| 2nd \| 1.84 m row 7 : 2006 \| asian games \| doha, qatar \| 6th \| 1.84 m row 8 : 2007 \| asian championships \| amman, jordan \| 3rd \| 1.91 m row 9 : 2007 \| universiade \| bangkok, thailand \| 3rd \| 1.90 m row 10 : 2007 \| world championships \| osaka, japan \| 20th (q) \| 1.88 m row 11 : 2007 \| asian indoor games \| macau \| 3rd \| 1.88 m row 12 : 2008 \| asian indoor championships \| doha, qatar \| 2nd \| 1.91 m row 13 : 2009 \| universiade \| belgrade, serbia \| 14th (q) \| 1.80 m row 14 : 2010 \| asian indoor championships \| tehran, iran \| 2nd \| 1.86 m row 15 : 2010 \| world indoor championships \| istanbul, turkey \| 20th (q) \| 1.81 m row 16 : 2010 \| asian games \| guangzhou, china \| 3rd \| 1.90 m row 17 : 2011 \| asian championships \| kobe, japan \| 4th \| 1.85 m row 18 : 2011 \| universiade \| shenzhen, china \| 10th \| 1.84 m ] Execute this SQL based on the above table: select competition where competition in ( 'asian indoor championships' , 'asian championships' ) group by competition order by count ( * ) desc limit 1	asian championships
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| japan \| 5 \| 2 \| 0 \| 7 row 2 : 2 \| china \| 4 \| 3 \| 2 \| 9 row 3 : 3 \| south korea \| 0 \| 3 \| 1 \| 4 row 4 : 4 \| north korea \| 0 \| 1 \| 0 \| 1 row 5 : 5 \| chinese taipei \| 0 \| 0 \| 3 \| 3 row 6 : 5 \| thailand \| 0 \| 0 \| 3 \| 3 row 7 : total \| total \| 9 \| 9 \| 9 \| 27 ] Execute this SQL based on the above table: select max ( bronze )	9.0
[ header: film \| year \| role \| language row 1 : miss christina \| 2013 \| mrs. moscu \| romanian row 2 : fata din transilvania \| 2011 \| None \| romanian row 3 : sange tanar, munti si brazi \| 2011 \| mama \| romanian drama row 4 : luna verde \| 2010 \| simona \| romanian row 5 : aniela (tv series) \| 2009-2010 \| maica stareta \| romanian row 6 : eva \| 2009 \| maria \| english row 7 : the fence \| 2007 (in production) \| herman's mother \| english row 8 : margo \| 2006 \| margo's stepmother \| romanian row 9 : l'homme presse \| 2005, tv \| bonne de bois de rose \| french row 10 : orient express \| 2004 \| amalia frunzetti \| romanian row 11 : casatorie imposibila ("impossible \| 2004, tv series \| None \| romanian row 12 : a rozsa eneke \| 2003 \| olga \| hungarian row 13 : patul lui procust (procu \| 2001 \| doamna t \| romanian row 14 : dark prince: the true story of dracul \| 2000, tv \| woman at the fountain \| english row 15 : kinai vedelem (chines \| 1999 \| None \| hungarian row 16 : fata in fata (face to face) \| 1999 \| None \| romanian row 17 : triunghiul mortii ("triangle \| 1999 \| regina maria \| romanian row 18 : az alombanya \| 1998, tv, short \| None \| hungarian row 19 : witman fiuk (witman boys) \| 1997 \| mrs. witman \| hungarian row 20 : siodmy pokoj (the \| 1995 \| edith stein (the starring role) \| hungarian row 21 : nostradamus \| 1994 \| helen \| english row 22 : trahir (betrayal, roman \| 1993 \| woman in prison \| french / romanian row 23 : casa din vis ("the house from the dream") \| 1993 \| None \| romanian row 24 : cel mai iubit dintre paminteni (the \| 1993 \| None \| romanian row 25 : balanta (the oak) \| 1992 \| nela (the starring role) \| romanian row 26 : raminerea (forgotten by god) \| 1992 \| None \| romanian row 27 : baiatul cu o singura brete \| 1991 \| None \| romanian row 28 : pasaj \| 1990 \| None \| romanian row 29 : marea sfidare ("the \| 1989 \| None \| romanian row 30 : anotimpul iubirii (the \| 1986 \| None \| romanian row 31 : secretul lui bachus (the secret of \| 1984 \| the girl in the restaurant (as maia \| romanian ] Execute this SQL based on the above table: select role order by id desc limit 1	the girl in the restaurant (as maia morgenstern istodor)
[ header: type \| gauge \| railway \| works no. \| year \| builder row 1 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 1953-1956 \| 1921 \| st. leonard, bel row 2 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 2021-2025 \| 1924 \| st. leonard, bel row 3 : 0-4-0+0-4-0 \| 600 mm \| c.f.vicinaux du may \| 2056-2059 \| 1926 \| st. leonard, bel row 4 : 0-4-0+0-4-0 \| 750 mm \| mines du zaccar, alg \| 1752 \| 1936 \| du haine saint-pierre row 5 : 0-4-0+0-4-0 \| 1000 mm \| piracicaba sugar co., bra \| 2108 \| 1927 \| st. leonard, bel row 6 : 2-6-0+0-6-2 \| 2 ft 6 in \| victorian government railways, australia \| 6267-6268 \| 1926 \| beyer, peacock row 7 : 2-6-0+0-6-2 \| 3 ft 6 in \| western australian government railways \| 46-55 \| 1930 \| western australian government r'ys row 8 : 2-6-0+0-6-2 \| 4 ft 81⁄2 in \| argentine north eastern (fcne \| 6349-6352 \| 1927 \| beyer, peacock row 9 : 2-6-2+2-6-2 \| 1000 mm \| great western of brazil \| 1024-1025 \| 1929 \| armstrong whitworth row 10 : 2-6-2+2-6-2 \| 3 ft 6 in \| guayaquil & qui \| 6527-6529 \| 1929 \| beyer, peacock row 11 : 2-6-2+2-6-2 \| 3 ft 6 in \| rhodesia railways \| 6510-6515 \| 1929 \| beyer, peacock row 12 : 2-6-2+2-6-2 \| 3 ft 6 in \| south african railways \| 1043-1068 \| 1928 \| krupp row 13 : 2-6-2+2-6-2 \| 3 ft 6 in \| south african railways \| 3115-3119 \| 1929 \| linke-hofmann row 14 : 2-6-2+2-6-2 \| 3 ft 6 in \| trans zambezia, mocambi \| 6380 \| 1930 \| beyer, peacock row 15 : 2-6-2+2-6-2 \| 5 ft 6 in \| sao paulo railway, bra \| 6367-6372 \| 1927 \| beyer, peacock row 16 : 2-8-0+0-8-2 \| 4 ft 81⁄2 in \| ottoman railways, turkey \| 6324 \| 1927 \| beyer, peacock row 17 : 2-8-2+2-8-2 \| 3 ft 6 in \| rhodesia railways \| 6562-6569 \| 1929-30 \| beyer, peacock row 18 : 4-4-2+2-4-4 \| 4 ft 81⁄2 in \| entre rios railway (fcer), argent \| 6360-6364 \| 1927 \| beyer, peacock row 19 : 4-6-2+2-6-4 \| 3 ft 6 in \| nigerian railways \| 7051-7056 \| 1943 \| beyer, peacock row 20 : 4-8-2+2-8-4 \| 1000 mm \| cf d'afrique occidental \| 2748-2754 \| 1941 \| franco-belge, france row 21 : 4-8-2+2-8-4 \| 1000 mm \| kenya uganda railway \| 6516-6523 \| 1928 \| beyer, peacock ] Execute this SQL based on the above table: select railway order by works no. desc limit 1	nigerian railways
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select sum ( no. ) where position = 'rw'	7.0
[ header: name \| date \| nation \| displacement \| speed \| number \| notes row 1 : fmr-class \| 1943 \| us \| 1,200 tons \| 21 knots \| 85 \| None row 2 : gmt-class \| 1943 \| us \| 1,140 tons \| 21 knots \| 72 \| None row 3 : det-class \| 1943 \| us \| 1,240 tons \| 21 knots \| 72 \| None row 4 : tacoma-class frigate \| 1943 \| us \| 1,430 tons \| 20 knots \| 96 \| None row 5 : type b kaibokan \| 1943 \| japan \| 940 tons \| 19 knots \| 37 \| None row 6 : tev-class \| 1944 \| us \| 1,450 tons \| 24 knots \| 22 \| None row 7 : bay-class frigates \| 1945 \| uk \| 1,580 tons \| 20 knots \| 26 \| anti-aircraft row 8 : dealey-class \| 1954 \| us \| 1,450 tons \| 25 knots \| 13 \| None row 9 : type e50 frigate \| 1955 \| france \| 1,290 tons \| 28 knots \| 4 \| fast row 10 : type 14 frigate \| 1955 \| uk \| 1,180 tons \| 24 knots \| 8 \| anti-submarine row 11 : st. laurent-class \| 1955 \| canada \| 2,263 tons \| 28 knots \| 7 \| anti-submarine row 12 : type b \| 1956 \| japan \| 1,070 tons \| 25 knots \| 2 \| diesel row 13 : type 12 frigate \| 1956 \| uk \| 2,150 tons \| 31 knots \| 6 \| anti-submarine row 14 : almirante clemente-class light \| 1956 \| venezuela \| 1,300 tons \| 32 knots \| 6 \| fast row 15 : type 61 frigate \| 1957 \| uk \| 2,170 tons \| 24 knots \| 4 \| aircraft direction row 16 : canopo-class frigate \| 1957 \| italy \| 1,807 tons \| 26 knots \| 4 \| None row 17 : azopardo-class frigate \| 1957 \| argentina \| 1,160 tons \| 20 knots \| 2 \| None row 18 : restigouche-class \| 1958 \| canada \| 2,366 tons \| 28 knots \| 7 \| anti-submarine row 19 : claud jones-class \| 1959 \| us \| 1,450 tons \| 22 knots \| 4 \| None row 20 : type 12m frigate \| 1960 \| uk \| 2,380 tons \| 30 knots \| 12 \| anti-submarine row 21 : koln-class frigate \| 1961 \| germany \| 2,100 tons \| 30 knots \| 6 \| fast row 22 : river-class \| 1961 \| australia \| 2,100 tons \| 30 knots \| 6 \| None row 23 : river-class \| 1961 \| japan \| 1,490 tons \| 25 knots \| 4 \| None row 24 : type 81 frigate \| 1961 \| uk \| 2,300 tons \| 28 knots \| 7 \| general purpose row 25 : mackenzie-class \| 1962 \| canada \| 2,366 tons \| 28 knots \| 4 \| anti-submarine row 26 : hvidbjørnen- \| 1962 \| denmark \| 1,345 tons \| 18 knots \| 4 \| fishery protection row 27 : type 12i frigate \| 1963 \| uk \| 2,450 tons \| 30 knots \| 26 \| general purpose row 28 : bronstein-class \| 1963 \| us \| 2,360 tons \| 26 knots \| 2 \| None row 29 : garcia-class \| 1964 \| us \| 2,620 tons \| 27 knots \| 10 \| None row 30 : oslo-class frigate \| 1966 \| norway \| 1,450 tons \| 25 knots \| 5 \| None row 31 : brooke-class \| 1966 \| us \| 2,640 tons \| 27 knots \| 6 \| guided missile row 32 : peder skram-class frigate \| 1966 \| denmark \| 2,030 tons \| 28 knots \| 2 \| fast row 33 : van speijk-class frigate \| 1967 \| netherlands \| 2,200 tons \| 28 knots \| 6 \| None row 34 : alpino-class frigate \| 1968 \| italy \| 2,000 tons \| 28 knots \| 2 \| None ] Execute this SQL based on the above table: select count ( * ) where notes = 'mackenzie-class' and name < ( select name where notes = 'fast' )	0
[ header: round \| pick \| player \| pos. \| nationality \| team \| aba team \| signing price row 1 : 1 \| 1 \| artis gilmore^ \| c \| united states \| chicago bulls \| kentucky colonels \| $ 1,100,000 row 2 : 1 \| 2 \| maurice lucas \| f/c \| united states \| portland trail blazers (from \| kentucky colonels \| $ 300,000 row 3 : 1 \| 3 \| ron boone \| g/f \| united states \| kansas city kings \| spirits of st. louis \| $ 250,000 row 4 : 1 \| 4 \| marvin barnes \| f/c \| united states \| detroit pistons \| spirits of st. louis \| $ 500,000 row 5 : 1 \| 5 \| moses malone^ \| f/c \| united states \| portland trail blazers \| spirits of st. louis \| $ 350,000 row 6 : 1 \| 6 \| randy denton \| c \| united states \| new york knicks \| spirits of st. louis \| $ 50,000 row 7 : 1 \| 7 \| bird averitt \| g \| united states \| buffalo braves (from milwaukee \| kentucky colonels \| $ 125,000 row 8 : 1 \| 8 \| wil jones \| f \| united states \| indiana pacers \| kentucky colonels \| $ 50,000 row 9 : 1 \| 9 \| ron thomas \| g/f \| united states \| houston rockets \| kentucky colonels \| $ 15,000 row 10 : 1 \| 10 \| louie dampier \| g \| united states \| san antonio spurs \| kentucky colonels \| $ 20,000 row 11 : 1 \| 11 \| jan van breda kolf \| g/f \| united states \| new york nets \| kentucky colonels \| $ 60,000 row 12 : 2 \| 12 \| mike barr \| g \| united states \| kansas city kings \| spirits of st. louis \| $ 15,000 ] Execute this SQL based on the above table: select max ( signing price ) - min ( signing price )	1085000.0
[ header: place \| position \| number \| name \| nasl \| playoffs \| cfu club championship \| concacaf champions league \| total row 1 : 1 \| fw \| 11 \| nicholas addlery \| 9 \| 0 \| 0 \| 1 \| 10 row 2 : 2 \| fw \| 9 \| jonathan fana \| 4 \| 0 \| 4 \| 0 \| 8 row 3 : 3 \| fw \| 7 \| david foley \| 6 \| 1 \| 0 \| 0 \| 7 row 4 : 3 \| fw \| 24 \| hector ramos \| 3 \| 0 \| 2 \| 2 \| 7 row 5 : 5 \| df \| 33 \| jay needham \| 3 \| 0 \| 0 \| 0 \| 3 row 6 : 5 \| fw \| 22 \| gregory richardson \| 1 \| 0 \| 1 \| 1 \| 3 row 7 : 7 \| mf \| 20 \| josh hansen \| 0 \| 0 \| 2 \| 0 \| 2 row 8 : 7 \| None \| None \| own goal \| 0 \| 0 \| 2 \| 0 \| 2 row 9 : 9 \| df \| 3 \| richard martinez \| 1 \| 0 \| 0 \| 0 \| 1 row 10 : 9 \| df \| 16 \| anthony vazquez \| 1 \| 0 \| 0 \| 0 \| 1 row 11 : 9 \| df \| 5 \| noah delgado \| 1 \| 0 \| 0 \| 0 \| 1 row 12 : 9 \| mf \| 14 \| jarad van schaik \| 1 \| 0 \| 0 \| 0 \| 1 row 13 : 9 \| mf \| 17 \| tyler wilson \| 1 \| 0 \| 0 \| 0 \| 1 row 14 : 9 \| mf \| 24 \| justin fojo \| 1 \| 0 \| 0 \| 0 \| 1 row 15 : None \| None \| None \| totals \| 32 \| 1 \| 11 \| 4 \| 48 ] Execute this SQL based on the above table: select count ( position ) where name = 'gregory richardson'	1
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| alberto garcia \| spain \| 7:43.89 \| cr row 2 : None \| antonio david jime \| spain \| 7:46.49 \| pb row 3 : None \| jesus espana \| spain \| 7:48.08 \| pb row 4 : None \| john mayock \| great britain \| 7:48.08 \| None row 5 : 5 \| michael buchleitner \| austria \| 7:54.39 \| sb row 6 : 6 \| mohammed mourhit \| belgium \| 7:59.79 \| None row 7 : 7 \| sergey ivanov \| russia \| 8:02.98 \| None row 8 : 8 \| mindaugas pukstas \| lithuania \| 8:03.21 \| pb row 9 : 9 \| irba lakhal \| france \| 8:03.38 \| None row 10 : 10 \| joakim johansson \| denmark \| 8:06.47 \| None row 11 : 11 \| harald steindorfer \| austria \| 8:09.21 \| None row 12 : 12 \| ferdinando vicari \| italy \| 8:17.46 \| None row 13 : 13 \| martin steinbauer \| austria \| 8:22.06 \| None row 14 : 14 \| christos papapetrou \| cyprus \| 8:30.59 \| None ] Execute this SQL based on the above table: select time order by time asc limit 1	7:43.89
[ header: date \| winner \| score \| loser \| score \| attendance \| notes row 1 : 25-dec-82 \| washington \| 21 \| maryland \| 20 \| 30055 \| notes row 2 : 26-dec-83 \| penn state \| 13 \| washington \| 10 \| 37212 \| notes row 3 : 29-dec-84 \| smu \| 27 \| notre dame \| 20 \| 41777 \| notes row 4 : 28-dec-85 \| alabama \| 24 \| usc \| 3 \| 35183 \| notes row 5 : 27-dec-86 \| arizona \| 30 \| north carolina \| 21 \| 26743 \| notes row 6 : 25-dec-87 \| ucla \| 20 \| florida \| 16 \| 24839 \| notes row 7 : 25-dec-88 \| washington state \| 24 \| houston \| 22 \| 35132 \| notes row 8 : 25-dec-89 \| michigan state \| 33 \| hawaii \| 13 \| 50000 \| notes row 9 : 25-dec-90 \| syracuse \| 28 \| arizona \| 0 \| 14185 \| notes row 10 : 25-dec-91 \| georgia tech \| 18 \| stanford \| 17 \| 34433 \| notes row 11 : 25-dec-92 \| kansas \| 23 \| byu \| 20 \| 42933 \| notes row 12 : 25-dec-93 \| colorado \| 41 \| fresno state \| 30 \| 44009 \| notes row 13 : 25-dec-94 \| boston college \| 12 \| kansas state \| 7 \| 44862 \| notes row 14 : 25-dec-95 \| kansas \| 51 \| ucla \| 30 \| 41111 \| notes row 15 : 25-dec-96 \| navy \| 42 \| cal \| 38 \| 43380 \| notes row 16 : 25-dec-97 \| washington \| 51 \| michigan state \| 23 \| 44598 \| notes row 17 : 25-dec-98 \| colorado \| 51 \| oregon \| 43 \| 46451 \| notes row 18 : 25-dec-99 \| wake forest \| 23 \| arizona state \| 3 \| 40974 \| notes row 19 : 25-dec-00 \| boston college \| 31 \| arizona state \| 17 \| 24397 \| notes ] Execute this SQL based on the above table: select count ( * ) where winner = 'syracuse'	1
[ header: rank \| name \| nationality \| time row 1 : None \| brahim boulami \| morocco \| 8:17.73 row 2 : None \| reuben kosgei \| kenya \| 8:18.63 row 3 : None \| stephen cherono \| kenya \| 8:19.98 row 4 : 4 \| bouabdellah ta \| france \| 8:20.25 row 5 : 5 \| tim broe \| united states \| 8:20.75 row 6 : 6 \| luis miguel martin \| spain \| 8:24.03 row 7 : 7 \| raymond yator \| kenya \| 8:27.19 row 8 : 8 \| thomas chorny \| united states \| 9:24.26 ] Execute this SQL based on the above table: select name where name in ( 'reuben kosgei' , 'bouabdellah tahri' ) order by time desc limit 1	reuben kosgei
[ header: tramway \| country \| city \| height of pylons \| span width, leaning straight line \| span width, horizontal measurement \| height of cable over ground \| year of inauguration \| notes row 1 : peak 2 peak gondola \| canada \| whistler \| 65m \| 3024 m \| 3019 m \| 436 m \| 2008 \| 3s aerial tramway constructed by doppel row 2 : hut of regensburg material transport aerial railway \| austria \| falbeson \| None \| None \| None \| 430 m \| None \| None row 3 : vanoise express \| france \| vanoise \| none \| 1850 m \| 1800 m \| 380 m \| 2003 \| None row 4 : aiguille du midi \| france \| chamonix \| none \| 2867 m \| 2500 m \| None \| 1955 \| 2nd section row 5 : vallee blanche aerial tramway \| france \| mont blanc \| none \| 2831 m, 1684 m \| span is almost horizontal \| appr. 300 m \| 1958 \| rock anchored support structure row 6 : 3s aerial tramway \| austria \| kitzbuhel \| 0 m, 80m \| 2507 m \| None \| 400 m \| 2004 \| None row 7 : sandia peak tramway \| usa \| albuquerque \| 70.7 m, 21.33 m \| 2353 m \| None \| 274 m \| 1966 \| None row 8 : feldmoos-chli-tit \| switzerland \| titlis \| 37.6 m \| 3476,2 m \| None \| None \| 1979 \| temp. site tramway, demolished in ] Execute this SQL based on the above table: select count ( country ) where year of inauguration < 2008	6
[ header: rank \| country/territory \| miss supranational \| 1st runner-up \| 2nd runner-up \| 3rd runner-up \| 4th runner-up \| semifinalists \| total row 1 : 2 \| poland \| 1 \| 0 \| 1 \| 0 \| 0 \| 3 \| 5 row 2 : 3 \| philippines \| 1 \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 row 3 : 4 \| panama \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 4 : 5 \| ukraine \| 1 \| 0 \| 0 \| 0 \| 0 \| 2 \| 3 row 5 : 7 \| thailand \| 0 \| 1 \| 0 \| 0 \| 1 \| 1 \| 3 row 6 : 8 \| mexico \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 1 row 7 : 9 \| puerto rico \| 0 \| 0 \| 1 \| 0 \| 0 \| 2 \| 3 row 8 : 13 \| peru \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 \| 2 row 9 : 15 \| indonesia \| 0 \| 0 \| 0 \| 1 \| 0 \| 0 \| 1 row 10 : 16 \| england \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 \| 2 row 11 : 17 \| united states \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 12 : 17 \| u.s. virgin islands \| 0 \| 0 \| 0 \| 0 \| 1 \| 0 \| 1 row 13 : 20 \| brazil \| 0 \| 0 \| 0 \| 0 \| 0 \| 4 \| 4 row 14 : 21 \| canada \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 15 : 21 \| dominican republic \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 16 : 21 \| france \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 17 : 21 \| greece \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 18 : 21 \| iceland \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 19 : 21 \| latvia \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 \| 2 row 20 : 32 \| australia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 21 : 32 \| bahamas \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 22 : 32 \| belgium \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 23 : 32 \| bosnia and herzegovin \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 24 : 32 \| denmark \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 25 : 32 \| french polynesia \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 26 : 32 \| hungary \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 27 : 32 \| korea \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 28 : 32 \| luxembourg \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 29 : 32 \| romania \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 30 : 32 \| spain \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 row 31 : 32 \| chinese taipei \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select country/territory where country/territory = 'french polynesia'	french polynesia
[ header: place \| nation \| 5 hoops \| 3 balls, 2 ribbons \| total row 1 : 1 \| bulgaria \| 19.800 (1) \| 19.800 (1) \| 39.600 row 2 : 2 \| spain \| 19.700 (3) \| 19.700 (2) \| 39.400 row 3 : 3 \| belarus \| 19.733 (2) \| 19.600 (3) \| 39.333 row 4 : 4 \| russia \| 19.600 (4) \| 19.566 (4) \| 39.166 row 5 : 5 \| ukraine \| 19.366 (5) \| 15.500 (5) \| 38.866 row 6 : 6 \| japan \| 19.166 (6) \| 19.333 (7) \| 38.499 row 7 : 7 \| italy \| 19.066 (7) \| 19.400 (6) \| 38.466 row 8 : 8 \| hungary \| 18.766 (8) \| 19.166 (8) \| 37.932 ] Execute this SQL based on the above table: select nation order by place asc limit 112	bulgaria, spain, belarus, russia, ukraine, japan, italy, hungary
[ header: year \| company \| number of members affected \| duration of strike \| notes row 1 : 1955 \| southern bell telephone co \| 50000 \| 72 days \| strike was in answer to management's effort to row 2 : 1968 \| at&t \| 200000 \| 18 days \| wage increases to compensate for cost of living, and row 3 : 1971 \| bell system \| 400000 \| 1 week \| cost of living allowance (cola) won for workers row 4 : 1983 \| bell system \| 600000 \| 22 days \| last contract with the bell system before its breakup row 5 : 1986 \| at&t \| 175000 \| 25 days \| cola clause suspended in contract - former bell row 6 : 1989 \| at&t \| 175000 \| None \| child and elder care benefits added to contract. row 7 : 1989 \| nynex \| 175000 \| 17 weeks \| strike was due to major health care cuts by row 8 : 1998 \| us west \| 34000 \| 15 day \| strike was due to mandatory overtime demands and forced pay row 9 : 2000 \| verizon \| 80000 \| 3 weeks \| strike was due to mandatory overtime demands. provisions for row 10 : 2011 \| verizon \| 45000 \| 13 days \| strike was due to major wage and health care cuts row 11 : 2012 \| at&t \| 20000 \| 2 days \| at&t west; californi ] Execute this SQL based on the above table: select count ( * ) where notes = 'cost of living allowance (cola) won for workers'	1